This document discusses IoT sensing and actuation. It defines transduction as the process of energy conversion from one form to another. Sensors convert various forms of energy into electrical signals, while actuators convert electrical signals into various forms of energy, typically mechanical energy. The document describes different types of sensors and their characteristics like resolution, accuracy, and precision. It also discusses sensor errors and deviations. Finally, it categorizes sensing into four types - scalar sensing, multimedia sensing, hybrid sensing, and virtual sensing - based on the nature of the environment being sensed.
The document discusses sensors used in aircraft autopilot systems. An automatic flight control system uses various sensors to monitor speed, height, position, doors, obstacles, fuel and maneuvers. A computer receives data from these sensors, compares it to pre-designed values, and provides control signals to engines, flaps, and rudders to enable smooth autonomous flight. Sensors provide input to computers, which are the system's brains, and mechanics provide the outputs to control aircraft systems.
This document discusses IoT data processing topologies and considerations. It begins by explaining the types of structured and unstructured data in IoT. It then discusses the importance of processing based on urgency and describes on-site, remote, and collaborative processing topologies. The document also covers IoT device design factors and processing offloading considerations including location, decision making, and other criteria.
The document discusses the emergence of the Internet of Things (IoT). It describes how IoT has evolved from early technologies like automated teller machines and smart meters to modern applications across various domains. It also outlines the key characteristics of IoT and the complex interdependencies between IoT and related technologies like machine-to-machine communication, cyber physical systems, and the web of things. Finally, it explains the four planes that enable IoT - services, local connectivity, global connectivity, and processing - and how technologies like edge/fog computing facilitate IoT implementation.
The Internet of Things (IoT) is a network of physical objects embedded with electronics, software, and sensors that allows objects to connect and exchange data over the internet. IoT creates opportunities to remotely sense and control objects across networks, improving efficiency. Things in IoT include devices like heart monitors, farm animal tags, sensors in cars, and environmental sensors. These devices collect data using technologies and autonomously share it. IoT requires connectivity between things, intelligence to interpret sensor data, and scalability to handle increased connections.
This document summarizes a seminar presentation on wireless sensor networks (WSNs). It begins with introductions to WSNs, describing them as networks of spatially distributed sensors that monitor conditions like temperature, sound or pollution. It then covers the architecture of WSNs, including special addressing requirements, the architecture of sensor nodes, and differences between WSNs and mobile ad hoc networks. The document discusses applications, design challenges, advantages and disadvantages of WSNs. It concludes by discussing the future potential of WSNs in applications like smart homes and offices.
The document discusses sensors used in aircraft autopilot systems. An automatic flight control system uses various sensors to monitor speed, height, position, doors, obstacles, fuel and maneuvers. A computer receives data from these sensors, compares it to pre-designed values, and provides control signals to engines, flaps, and rudders to enable smooth autonomous flight. Sensors provide input to computers, which are the system's brains, and mechanics provide the outputs to control aircraft systems.
This document discusses IoT data processing topologies and considerations. It begins by explaining the types of structured and unstructured data in IoT. It then discusses the importance of processing based on urgency and describes on-site, remote, and collaborative processing topologies. The document also covers IoT device design factors and processing offloading considerations including location, decision making, and other criteria.
The document discusses the emergence of the Internet of Things (IoT). It describes how IoT has evolved from early technologies like automated teller machines and smart meters to modern applications across various domains. It also outlines the key characteristics of IoT and the complex interdependencies between IoT and related technologies like machine-to-machine communication, cyber physical systems, and the web of things. Finally, it explains the four planes that enable IoT - services, local connectivity, global connectivity, and processing - and how technologies like edge/fog computing facilitate IoT implementation.
The Internet of Things (IoT) is a network of physical objects embedded with electronics, software, and sensors that allows objects to connect and exchange data over the internet. IoT creates opportunities to remotely sense and control objects across networks, improving efficiency. Things in IoT include devices like heart monitors, farm animal tags, sensors in cars, and environmental sensors. These devices collect data using technologies and autonomously share it. IoT requires connectivity between things, intelligence to interpret sensor data, and scalability to handle increased connections.
This document summarizes a seminar presentation on wireless sensor networks (WSNs). It begins with introductions to WSNs, describing them as networks of spatially distributed sensors that monitor conditions like temperature, sound or pollution. It then covers the architecture of WSNs, including special addressing requirements, the architecture of sensor nodes, and differences between WSNs and mobile ad hoc networks. The document discusses applications, design challenges, advantages and disadvantages of WSNs. It concludes by discussing the future potential of WSNs in applications like smart homes and offices.
This document discusses machine-to-machine (M2M) communication and its differences from the Internet of Things (IoT). It also describes software-defined networking (SDN) and network function virtualization (NFV) and their potential applications to IoT. M2M uses local area networks with proprietary protocols while IoT connects devices globally using IP. SDN separates the control plane from the data plane to simplify network management while NFV virtualizes network functions on commodity servers.
The growth of embedded systems connecting to the Internet or "Internet of Things" (IoT) increases year by year. Thus, the IoT ecosystems become new targets of the attackers. This presentation will talk about the basic principle of information security, why we need to secure IoT ecosystems, and also the vulnerabilities and solutions from OWASP.
The document discusses the architecture of the Internet of Things (IoT). It describes the IoT as a network of physical objects embedded with sensors that can collect and exchange data. The document outlines the history and development of IoT and describes its layered architecture which includes device, network, service, and application layers. It provides examples of current and potential IoT applications in various sectors and discusses security and privacy issues regarding connected devices.
Authors: Arshdeep Bahga, Vijay Madisetti
Paperback: 446 pages
Publisher: VPT; 1 edition (August 9, 2014)
Language: English
ISBN-10: 0996025510
ISBN-13: 978-0996025515
Product Dimensions: 10 x 7 x 1 inches
Book Website: www.internet-of-things-book.com
Availabile on: www.amazon.com/dp/0996025510
Internet of Things (IoT) refers to physical and virtual objects that have unique identities and are connected to the internet to facilitate intelligent applications that make energy, logistics, industrial control, retail, agriculture and many other domains "smarter". Internet of Things is a new revolution of the Internet that is rapidly gathering momentum driven by the advancements in sensor networks, mobile devices, wireless communications, networking and cloud technologies. Experts forecast that by the year 2020 there will be a total of 50 billion devices/things connected to the internet.
This book is written as a textbook on Internet of Things for educational programs at colleges and universities, and also for IoT vendors and service providers who may be interested in offering a broader perspective of Internet of Things to accompany their own customer and developer training programs. The typical reader is expected to have completed a couple of courses in programming using traditional high-level languages at the college-level, and is either a senior or a beginning graduate student in one of the science, technology, engineering or mathematics (STEM) fields. Like our companion book on Cloud Computing, we have tried to write a comprehensive book that transfers knowledge through an immersive "hands on" approach, where the reader is provided the necessary guidance and knowledge to develop working code for real-world IoT applications.
Wireless sensor network and its applicationRoma Vyas
The document discusses wireless sensor networks (WSN) and their applications. It defines a WSN as a collection of sensor nodes that communicate wirelessly and self-organize after deployment. Sensor nodes collect data at regular intervals, convert it to electrical signals, and send it to a base station. The document outlines the components of sensor nodes and describes how WSNs are used for applications like forest fire detection, air/water pollution monitoring, landslide detection, and military surveillance. It also discusses the TinyOS operating system commonly used for WSNs and its features for efficiently utilizing energy in sensor nodes.
Independent of the source of data, the integration of event streams into an Enterprise Architecture gets more and more important in the world of sensors, social media streams and Internet of Things. Events have to be accepted quickly and reliably, they have to be distributed and analysed, often with many consumers or systems interested in all or part of the events. Dependent on the size and quantity of such events, this can quickly be in the range of Big Data. How can we efficiently collect and transmit these events? How can we make sure that we can always report over historical events? How can these new events be integrated into traditional infrastructure and application landscape?
Starting with a product and technology neutral reference architecture, we will then present different solutions using Open Source frameworks and the Oracle Stack both for on premises as well as the cloud.
This document discusses IEEE 802.15.4 and Zigbee wireless communication standards. It provides an overview of 802.15.4, including its applications, characteristics, frequency bands, and MAC and PHY specifications. It also describes Zigbee's architecture and how it works with 802.15.4 at higher protocol layers to provide networking and routing functionality. Typical network topologies for 802.15.4 like star, peer-to-peer, and combined are also covered.
This document discusses key enabling technologies for the Internet of Things (IoT). It describes wireless sensor networks that use distributed sensor nodes to monitor environmental conditions. It also discusses cloud computing which provides on-demand computing resources and services over the Internet. Additionally, it covers big data analytics which involves collecting, processing, and analyzing large, diverse datasets. Finally, it mentions communication protocols that allow devices to exchange data over networks and embedded systems which are specialized computer systems designed to perform specific tasks.
This document discusses trends in embedded systems. It outlines that embedded systems integrate computer hardware and software onto a single microprocessor board. Key trends in embedded systems include systems-on-a-chip (SoC), wireless technology, multi-core processors, support for multiple languages, improved user interfaces, use of open source technologies, interoperability, automation, enhanced security, and reduced power consumption. SoCs integrate all system components onto a single chip to reduce power usage. Wireless connectivity and multi-core processors improve performance. Embedded systems also support multiple languages and have improved user interfaces.
This document discusses various domain-specific Internet of Things (IoT) applications. It outlines IoT applications for homes, cities, the environment, energy systems, retail, logistics, industry, agriculture, and health and lifestyle. It then provides more details on specific IoT applications for homes (smart lighting, smart appliances, intrusion detection, smoke/gas detectors), cities (smart parking, smart road lighting, smart roads, structural health monitoring, surveillance, emergency response) and the environment (weather monitoring, air pollution monitoring, noise pollution monitoring, forest fire detection, river flood detection).
The document discusses several key aspects of Internet of Things (IoT) systems including:
1. IoT devices and networks have heterogeneous requirements for data representation, visualization, and interaction both locally and remotely.
2. IoT systems interface the physical world through physical entities, sensors, and actuators, and require consideration of the deployment context.
3. Design of IoT devices and networks requires addressing functional requirements like sensing, actuation, and communication as well as non-functional requirements including energy, cost, regulations, and ease of use.
The document discusses wireless sensor networks and their applications. It describes wireless sensor networks as consisting of individual nodes that can interact with their environment by sensing or controlling physical parameters. It then discusses several applications of wireless sensor networks, including disaster relief, environment monitoring, intelligent buildings, facility management, machine maintenance, agriculture, healthcare, and logistics. Finally, it outlines some key requirements and mechanisms needed to implement wireless sensor networks, including communication, energy efficiency, self-configuration, collaboration, data-centric operation, and exploiting tradeoffs between different needs.
The document provides an overview of the Internet of Things (IoT). It discusses the history and timeline of IoT development. Key applications of IoT mentioned include smart cities, manufacturing, building automation, healthcare, automotive, and wearables. The document also outlines how IoT works using various wireless technologies, challenges to IoT adoption, and the future growth of connected devices. It predicts that by 2020 there will be 50 billion connected devices and on average 6 smart devices per person worldwide.
Unit 2,3,4 _ Internet of Things A Hands-On Approach (Arshdeep Bahga, Vijay Ma...Selvaraj Seerangan
This document discusses the development of a new type of battery that could revolutionize energy storage. It describes how the battery uses a solid electrolyte material that conducts ions quickly and prevents short circuits. This new battery design could lead to batteries that charge faster, last longer, and are less flammable than current lithium-ion batteries. The document concludes by stating that further research is still needed but that this new battery technology shows significant potential.
The document discusses the Internet of Things (IoT). It defines IoT as connecting physical objects to the internet to remotely monitor and control them. The document outlines key IoT technologies like communication, identification, sensing, and localization. It provides examples of IoT applications in various domains like environmental monitoring, transportation, healthcare, manufacturing, building automation, and more. The document concludes that IoT represents the future evolution of the internet and has potential to change the world for the better if key stakeholders work together on common standards.
The document discusses sensor cloud, which integrates wireless sensor networks with cloud computing. It allows for the powerful analysis of sensor data through massive cloud infrastructure. The key benefits of sensor cloud include scalability, increased data storage and processing power, dynamic provisioning of services, and automation. Some challenges are implementation costs and maintaining continuous connectivity between sensors and the cloud. The document outlines the general architecture and components of a sensor cloud system and provides examples of applications in transportation monitoring, military use, weather forecasting, and healthcare.
This document discusses IoT data processing. It begins by describing wireless sensor networks and key characteristics of IoT devices. It then discusses topics like in-network processing using techniques like data aggregation and Symbolic Aggregate Approximation (SAX). Publish/subscribe protocols like MQTT are also covered. The document emphasizes the need for efficient and scalable solutions to process the large volumes of data generated by IoT devices with limited resources.
Integration of Sensors & Actuators With Arduino.pptxNShravani1
Integration of Sensors & Actuators with Arduino discusses the fundamentals of connecting sensors and actuators to an Arduino board for Internet of Things applications. Sensors can detect changes in the environment and send that data to the Arduino, while actuators allow the Arduino to interact with and control the physical world based on sensor readings or external commands. The presentation provides an overview of common sensors and actuators used in IoT and how to interface them with an Arduino.
This article provides an introduction to the fundamental of Sensors and Transducers. It illustrates the different classifications of sensors and transducers. Explains capacitive, resistive and inductive transducers in brief. Also shows the examples under these types of transducers.
This document discusses machine-to-machine (M2M) communication and its differences from the Internet of Things (IoT). It also describes software-defined networking (SDN) and network function virtualization (NFV) and their potential applications to IoT. M2M uses local area networks with proprietary protocols while IoT connects devices globally using IP. SDN separates the control plane from the data plane to simplify network management while NFV virtualizes network functions on commodity servers.
The growth of embedded systems connecting to the Internet or "Internet of Things" (IoT) increases year by year. Thus, the IoT ecosystems become new targets of the attackers. This presentation will talk about the basic principle of information security, why we need to secure IoT ecosystems, and also the vulnerabilities and solutions from OWASP.
The document discusses the architecture of the Internet of Things (IoT). It describes the IoT as a network of physical objects embedded with sensors that can collect and exchange data. The document outlines the history and development of IoT and describes its layered architecture which includes device, network, service, and application layers. It provides examples of current and potential IoT applications in various sectors and discusses security and privacy issues regarding connected devices.
Authors: Arshdeep Bahga, Vijay Madisetti
Paperback: 446 pages
Publisher: VPT; 1 edition (August 9, 2014)
Language: English
ISBN-10: 0996025510
ISBN-13: 978-0996025515
Product Dimensions: 10 x 7 x 1 inches
Book Website: www.internet-of-things-book.com
Availabile on: www.amazon.com/dp/0996025510
Internet of Things (IoT) refers to physical and virtual objects that have unique identities and are connected to the internet to facilitate intelligent applications that make energy, logistics, industrial control, retail, agriculture and many other domains "smarter". Internet of Things is a new revolution of the Internet that is rapidly gathering momentum driven by the advancements in sensor networks, mobile devices, wireless communications, networking and cloud technologies. Experts forecast that by the year 2020 there will be a total of 50 billion devices/things connected to the internet.
This book is written as a textbook on Internet of Things for educational programs at colleges and universities, and also for IoT vendors and service providers who may be interested in offering a broader perspective of Internet of Things to accompany their own customer and developer training programs. The typical reader is expected to have completed a couple of courses in programming using traditional high-level languages at the college-level, and is either a senior or a beginning graduate student in one of the science, technology, engineering or mathematics (STEM) fields. Like our companion book on Cloud Computing, we have tried to write a comprehensive book that transfers knowledge through an immersive "hands on" approach, where the reader is provided the necessary guidance and knowledge to develop working code for real-world IoT applications.
Wireless sensor network and its applicationRoma Vyas
The document discusses wireless sensor networks (WSN) and their applications. It defines a WSN as a collection of sensor nodes that communicate wirelessly and self-organize after deployment. Sensor nodes collect data at regular intervals, convert it to electrical signals, and send it to a base station. The document outlines the components of sensor nodes and describes how WSNs are used for applications like forest fire detection, air/water pollution monitoring, landslide detection, and military surveillance. It also discusses the TinyOS operating system commonly used for WSNs and its features for efficiently utilizing energy in sensor nodes.
Independent of the source of data, the integration of event streams into an Enterprise Architecture gets more and more important in the world of sensors, social media streams and Internet of Things. Events have to be accepted quickly and reliably, they have to be distributed and analysed, often with many consumers or systems interested in all or part of the events. Dependent on the size and quantity of such events, this can quickly be in the range of Big Data. How can we efficiently collect and transmit these events? How can we make sure that we can always report over historical events? How can these new events be integrated into traditional infrastructure and application landscape?
Starting with a product and technology neutral reference architecture, we will then present different solutions using Open Source frameworks and the Oracle Stack both for on premises as well as the cloud.
This document discusses IEEE 802.15.4 and Zigbee wireless communication standards. It provides an overview of 802.15.4, including its applications, characteristics, frequency bands, and MAC and PHY specifications. It also describes Zigbee's architecture and how it works with 802.15.4 at higher protocol layers to provide networking and routing functionality. Typical network topologies for 802.15.4 like star, peer-to-peer, and combined are also covered.
This document discusses key enabling technologies for the Internet of Things (IoT). It describes wireless sensor networks that use distributed sensor nodes to monitor environmental conditions. It also discusses cloud computing which provides on-demand computing resources and services over the Internet. Additionally, it covers big data analytics which involves collecting, processing, and analyzing large, diverse datasets. Finally, it mentions communication protocols that allow devices to exchange data over networks and embedded systems which are specialized computer systems designed to perform specific tasks.
This document discusses trends in embedded systems. It outlines that embedded systems integrate computer hardware and software onto a single microprocessor board. Key trends in embedded systems include systems-on-a-chip (SoC), wireless technology, multi-core processors, support for multiple languages, improved user interfaces, use of open source technologies, interoperability, automation, enhanced security, and reduced power consumption. SoCs integrate all system components onto a single chip to reduce power usage. Wireless connectivity and multi-core processors improve performance. Embedded systems also support multiple languages and have improved user interfaces.
This document discusses various domain-specific Internet of Things (IoT) applications. It outlines IoT applications for homes, cities, the environment, energy systems, retail, logistics, industry, agriculture, and health and lifestyle. It then provides more details on specific IoT applications for homes (smart lighting, smart appliances, intrusion detection, smoke/gas detectors), cities (smart parking, smart road lighting, smart roads, structural health monitoring, surveillance, emergency response) and the environment (weather monitoring, air pollution monitoring, noise pollution monitoring, forest fire detection, river flood detection).
The document discusses several key aspects of Internet of Things (IoT) systems including:
1. IoT devices and networks have heterogeneous requirements for data representation, visualization, and interaction both locally and remotely.
2. IoT systems interface the physical world through physical entities, sensors, and actuators, and require consideration of the deployment context.
3. Design of IoT devices and networks requires addressing functional requirements like sensing, actuation, and communication as well as non-functional requirements including energy, cost, regulations, and ease of use.
The document discusses wireless sensor networks and their applications. It describes wireless sensor networks as consisting of individual nodes that can interact with their environment by sensing or controlling physical parameters. It then discusses several applications of wireless sensor networks, including disaster relief, environment monitoring, intelligent buildings, facility management, machine maintenance, agriculture, healthcare, and logistics. Finally, it outlines some key requirements and mechanisms needed to implement wireless sensor networks, including communication, energy efficiency, self-configuration, collaboration, data-centric operation, and exploiting tradeoffs between different needs.
The document provides an overview of the Internet of Things (IoT). It discusses the history and timeline of IoT development. Key applications of IoT mentioned include smart cities, manufacturing, building automation, healthcare, automotive, and wearables. The document also outlines how IoT works using various wireless technologies, challenges to IoT adoption, and the future growth of connected devices. It predicts that by 2020 there will be 50 billion connected devices and on average 6 smart devices per person worldwide.
Unit 2,3,4 _ Internet of Things A Hands-On Approach (Arshdeep Bahga, Vijay Ma...Selvaraj Seerangan
This document discusses the development of a new type of battery that could revolutionize energy storage. It describes how the battery uses a solid electrolyte material that conducts ions quickly and prevents short circuits. This new battery design could lead to batteries that charge faster, last longer, and are less flammable than current lithium-ion batteries. The document concludes by stating that further research is still needed but that this new battery technology shows significant potential.
The document discusses the Internet of Things (IoT). It defines IoT as connecting physical objects to the internet to remotely monitor and control them. The document outlines key IoT technologies like communication, identification, sensing, and localization. It provides examples of IoT applications in various domains like environmental monitoring, transportation, healthcare, manufacturing, building automation, and more. The document concludes that IoT represents the future evolution of the internet and has potential to change the world for the better if key stakeholders work together on common standards.
The document discusses sensor cloud, which integrates wireless sensor networks with cloud computing. It allows for the powerful analysis of sensor data through massive cloud infrastructure. The key benefits of sensor cloud include scalability, increased data storage and processing power, dynamic provisioning of services, and automation. Some challenges are implementation costs and maintaining continuous connectivity between sensors and the cloud. The document outlines the general architecture and components of a sensor cloud system and provides examples of applications in transportation monitoring, military use, weather forecasting, and healthcare.
This document discusses IoT data processing. It begins by describing wireless sensor networks and key characteristics of IoT devices. It then discusses topics like in-network processing using techniques like data aggregation and Symbolic Aggregate Approximation (SAX). Publish/subscribe protocols like MQTT are also covered. The document emphasizes the need for efficient and scalable solutions to process the large volumes of data generated by IoT devices with limited resources.
Integration of Sensors & Actuators With Arduino.pptxNShravani1
Integration of Sensors & Actuators with Arduino discusses the fundamentals of connecting sensors and actuators to an Arduino board for Internet of Things applications. Sensors can detect changes in the environment and send that data to the Arduino, while actuators allow the Arduino to interact with and control the physical world based on sensor readings or external commands. The presentation provides an overview of common sensors and actuators used in IoT and how to interface them with an Arduino.
This article provides an introduction to the fundamental of Sensors and Transducers. It illustrates the different classifications of sensors and transducers. Explains capacitive, resistive and inductive transducers in brief. Also shows the examples under these types of transducers.
1. Sensors are devices that detect physical parameters and convert them into signals that can be processed by systems. Common sensors measure temperature, pressure, velocity, rotation, flow, and other variables.
2. Sensors are needed in industry to monitor machinery and prevent failures, in the environment to detect hazards, and for safety and security applications like fire detection.
3. Common sensors used in robotics include position sensors, proximity sensors, range sensors, tactile sensors, and force sensors. Position sensors like LVDTs and RVDTs convert linear or angular displacement into electrical signals.
This document discusses sensors and transducers. It begins by defining sensors as devices that convert physical phenomena into electrical signals, and transducers as the interface between the physical world and electrical devices. It then describes several key performance characteristics of sensors, including transfer function, sensitivity, dynamic range, accuracy, precision, nonlinearity, resolution, stability, and hysteresis. Different types of sensors are classified based on their signal characteristics, power supply needs, and subject of measurement. Examples of common sensors like position, velocity, light, flow, and proximity sensors are provided.
The document discusses different types of sensors, their characteristics and applications. It describes common sensors such as temperature, current and level sensors. Temperature sensors include thermistors and thermocouples. Current sensors consist of Hall sensors and magnetostriction sensors. The document also introduces smart sensors which integrate additional features like self-calibration. Finally, it outlines industrial applications of various sensors in areas like power plants, electrical machines and robotics.
This document provides an overview of sensors and actuators. It defines what sensors are, how they work by converting one type of energy to electrical energy. It also distinguishes sensors from transducers. The document discusses different types of sensors including passive and active sensors. It covers key sensor specifications and performance characteristics such as sensitivity, accuracy, bandwidth, resolution and noise. The document provides examples to illustrate sensor classification and performance evaluation.
1) Sensors are devices that detect physical quantities and convert them into signals that can be measured. They are needed for industrial monitoring, safety, and automation.
2) Common sensors include position, proximity, range, touch, and force sensors. Position sensors like LVDT and RVDT convert linear or angular displacement into electrical signals.
3) Sensors have characteristics like range, sensitivity, accuracy, and response time that determine their effectiveness. Understanding sensor types and properties is important for robotics applications.
The document discusses sensors and transducers used in mechatronics systems. It defines sensors as devices that detect physical quantities and convert them into signals, while transducers convert one form of energy to another. The document outlines various types of commonly used sensors like potentiometers, strain gauges, and capacitive sensors. It describes the working principles, specifications, advantages, and applications of these sensors. The specifications discussed include range, sensitivity, accuracy, resolution, response time, which are important for mechatronics designers to understand the capabilities and limitations of different sensors.
1. Sensors allow machines and robots to monitor their surroundings in various ways and for many applications.
2. The document discusses different types of sensors like position, proximity, range sensors and their uses in industry, environment, and safety.
3. It also explains the characteristics and working principles of important position sensors like LVDT and RVDT, which can convert linear or angular displacement into electrical signals.
Internet of things ( Sensors and actuator).pptxGideonMensah10
The document discusses sensors and actuators. It defines a sensor as a device that detects changes in the environment and sends or processes that information. Sensors can be analog or digital and produce scalar or vector outputs. Common sensor types include temperature, light, pressure, and chemical sensors. The document also defines an actuator as a device that converts a control signal into motion. Common actuator types include hydraulic, pneumatic, electrical, thermal, and mechanical actuators. Soft actuators made of polymers are also discussed which are useful for delicate tasks. In summary, the document provides an overview of sensors and actuators, their types and functions.
Sensor Transmitter & Its types 22.pptxAshwin180668
This document discusses different types of sensors and their applications. It describes sensors as devices that detect physical properties and respond by producing an output signal. The main types discussed are analog and digital sensors, as well as temperature, infrared, ultrasonic, pyroelectric, and humidity sensors. For each sensor type, the document explains how it works and provides examples of its applications.
This document discusses sensors used in IoT applications. It begins by defining sensors as input devices that convert physical quantities into electrical signals. Common sensor types are then described, including temperature, proximity, infrared, pressure, light, ultrasonic, gas, humidity, tilt, and flow sensors. The document classifies sensors as active or passive, and analog or digital. It provides examples of real-world sensor applications in aircraft flight control systems. Overall, the document provides a high-level overview of different sensor types and their uses in IoT and automated systems.
This document discusses different types of temperature sensors. It defines temperature sensors as devices that measure changes in temperature by converting the temperature input into an electrical output signal. The document describes two main categories of temperature sensors: contact sensors that must physically touch the object being measured, and non-contact sensors that can measure temperature without direct contact. Examples of different contact and non-contact temperature sensor technologies are provided, including thermocouples, thermistors, infrared sensors, and more.
The document provides information about instrumentation requirements for industrial instrumentation students. It lists key topics students should understand, including ISA symbology, process variables and units, measurement systems, instrument performance characteristics, field instrumentation identification and specifications. It also outlines the contents to be covered, including industrial sensors and measurement techniques, transmitters, control valves, process control techniques and an overview of industry technical skills.
This document outlines the syllabus for a course on sensors for engineering applications. The course is divided into 4 units that cover: sensor fundamentals and applications; position, weight, and force sensors; sound, ultrasound, and infrasound sensors; and biosensors and chemical sensors. Key topics covered include sensor characteristics, selection criteria, acceleration sensors, strain gage sensors, transducer principles, and biosensor technologies. The syllabus lists two required textbooks and two references for the course.
This document outlines the syllabus for a course on sensors for engineering applications. The course covers fundamentals of sensors and their characteristics, as well as specific sensor types including acceleration, position, sound, and biosensors. It discusses sensor selection criteria and provides definitions for key sensor specifications such as sensitivity, range, accuracy, and resolution. The syllabus also addresses instrumentation concepts like data acquisition, sensor interfacing, and guidelines for choosing sensor systems.
Advanced sensors can be either analogue or digital. Analogue sensors produce a continuous output signal proportional to the measured quantity, while digital sensors produce a discrete output signal representing the measured quantity. Common sensors include position sensors like potentiometers and inductive sensors, temperature sensors like thermostats and thermocouples, light sensors like photoresistors and phototransistors, and motion sensors like passive infrared sensors. These sensors convert a physical input like position, temperature, light, or motion into an electrical output signal.
Advanced sensors can be either analogue or digital. Analogue sensors produce a continuous output signal proportional to the measured quantity, while digital sensors produce a discrete output signal representing the measured quantity. Common sensors include position sensors like potentiometers and inductive sensors, temperature sensors like thermostats and thermocouples, light sensors like photoresistors and phototransistors, and motion sensors like passive infrared sensors. These sensors convert a physical input like position, temperature, light, or motion into an electrical output signal.
Sensors are devices that detect changes in the environment and send that data to a processor. They are used in homes, offices, and cars to perform tasks like turning on lights, adjusting temperature, and detecting smoke or fire. Sensors can be classified as active or passive, based on whether they require an external power source. They can also be classified based on their means of detection, such as electric, biological, or chemical, or based on their conversion phenomenon like photoelectric or electromagnetic. Sensors produce either analog or digital outputs. Smartphones can also be used to conduct physics experiments using their sensors. Sensors have advantages like reducing wiring, being flexible, and allowing new devices to be added easily.
This C program defines functions to add numbers to a queue and display the numbers in reverse order. The add() function takes user input of up to 5 numbers and stores them in an array. The display() function prints the numbers from the end of the array to the beginning to reverse the order, with front and rear pointers used to track the start and end of the queue. The main() function calls add() to populate the queue, then calls display() to print the numbers in reversed order.
The program implements a deque (double-ended queue) using pointers in C language. It defines a node structure with data and link fields. Functions are written to add elements to both front and rear of the deque, delete from front and rear, and display the deque. The main function tests the implementation by performing sample operations on the deque and displaying the results.
The C program takes a string as input from the user, stores each character in a stack data structure, and then pops the characters off the stack to display the reversed string. It uses functions to push each character onto the stack, and then calls a display function that pops the characters off the stack and prints them, outputting the reversed input string.
This C program accepts a singly linked list of integers as input, sorts the elements in ascending order, then accepts an integer to insert into the sorted list at the appropriate position. It includes functions to create and display the linked list, sort the elements, and insert a new element while maintaining the sorted order.
This C program accepts two singly linked lists as input and prints a list containing only the elements common to both lists. It contains functions to create and display the lists, as well as a common_elements function that iterates through both lists, comparing elements and printing any matches. The main function calls list_create twice to populate the lists, display_list to output the lists, and common_elements to find and print the common elements.
This C program creates a linked list of student records with name and roll number. It includes functions to create the list by adding elements, display the list, and delete an element from the list by roll number. Pointers are used to link the elements of the list and dynamically allocate memory for new elements. The main function provides a menu to call these functions and manage the list.
The document describes a C program that takes a paragraph of text as input and outputs a list of words and the number of occurrences of each word. The program creates a structure with fields to store each word and its occurrence count. It accepts input character by character, separates words by spaces, counts occurrences by comparing to existing words, and outputs the final word-count list.
This program multiplies two sparse matrices in C. It takes in two matrices from the user and converts them to sparse form by removing all zero values and storing the row, column, and value of non-zero elements. It then performs the multiplication by iterating through each non-zero element in the first matrix and matching columns with row elements in the second matrix, summing the products of the values at matched indices into the result matrix. Finally, it prints out the sparse and result matrices.
This C program accepts student enrollment numbers, names, and aggregate marks. It ranks the students based on their marks, with the highest marks earning rank 1. The program then prints the enrollment number, name, mark, and rank of each student in ascending order of rank.
This C program concatenates two strings entered by the user. It first allocates memory for the two input strings and a third string to hold the concatenated output. It then uses a for loop to copy the first string into the output string, leaves a space, and copies the second string into the remaining portion using another for loop. The concatenated string is then printed.
This C program accepts two strings as input and checks if the second string is a substring of the first string. If it is a substring, the program outputs the starting and ending locations of each occurrence of the substring in the main string. If the substring is not found, the program outputs "Not substring". It uses a while loop to iterate through the strings and compare characters to find substring matches and their positions.
The program accepts the order and elements of two matrices as input from the user. It then multiplies the matrices and stores the product in a third matrix. The product matrix is then printed to the screen. The program checks that the matrices can be multiplied by verifying that the number of columns of the first matrix matches the number of rows of the second.
This document provides an introduction to information security. It outlines the objectives of understanding information security concepts and terms. The document discusses the history of information security beginning with early mainframe computers. It defines information security and explains the critical characteristics of information, including availability, accuracy, authenticity, confidentiality and integrity. The document also outlines approaches to implementing information security and the phases of the security systems development life cycle.
Mcs 012 computer organisation and assemly language programming- ignou assignm...Dr. Loganathan R
The document discusses various computer architecture concepts including:
1. A hypothetical new machine is described with 64 64-bit general purpose registers, 2GB of 32-bit memory, and instructions that are one or two memory words. Four addressing modes are needed: direct, index, base register, and stack to access variables and arrays.
2. Terms related to magnetic disk access are defined, including tracks, sectors, seek time, rotational latency, transfer time, and access time. Calculations are shown to find the average access time of 13.04ms for a 2048 byte sector disk rotating at 3000 RPM with a 64MB/s transfer rate.
3. Input/output techniques like programmed I/O,
Session 9 4 alp to display the current system time using dos int 21 hDr. Loganathan R
This program displays the current system time by using DOS interrupt 21H function 2CH to retrieve the time from the system. It breaks the time value into hours, minutes, seconds and stores each part separately before converting them to ASCII characters and displaying them along with a colon separator between each part to show the time as HH:MM:SS. The program ends by returning control back to DOS.
Session 9 1 alp to compute a grade using proceduresDr. Loganathan R
This program contains two procedures to calculate a student's grade. The first procedure calculates the total marks based on percentages from midterm, final project, quizzes and projects. The second procedure calculates the letter grade based on ranges of the total marks from A+ to F. User input for the marks is taken and overall grade is displayed.
Level 3 NCEA - NZ: A Nation In the Making 1872 - 1900 SML.pptHenry Hollis
The History of NZ 1870-1900.
Making of a Nation.
From the NZ Wars to Liberals,
Richard Seddon, George Grey,
Social Laboratory, New Zealand,
Confiscations, Kotahitanga, Kingitanga, Parliament, Suffrage, Repudiation, Economic Change, Agriculture, Gold Mining, Timber, Flax, Sheep, Dairying,
How Barcodes Can Be Leveraged Within Odoo 17Celine George
In this presentation, we will explore how barcodes can be leveraged within Odoo 17 to streamline our manufacturing processes. We will cover the configuration steps, how to utilize barcodes in different manufacturing scenarios, and the overall benefits of implementing this technology.
Philippine Edukasyong Pantahanan at Pangkabuhayan (EPP) CurriculumMJDuyan
(𝐓𝐋𝐄 𝟏𝟎𝟎) (𝐋𝐞𝐬𝐬𝐨𝐧 𝟏)-𝐏𝐫𝐞𝐥𝐢𝐦𝐬
𝐃𝐢𝐬𝐜𝐮𝐬𝐬 𝐭𝐡𝐞 𝐄𝐏𝐏 𝐂𝐮𝐫𝐫𝐢𝐜𝐮𝐥𝐮𝐦 𝐢𝐧 𝐭𝐡𝐞 𝐏𝐡𝐢𝐥𝐢𝐩𝐩𝐢𝐧𝐞𝐬:
- Understand the goals and objectives of the Edukasyong Pantahanan at Pangkabuhayan (EPP) curriculum, recognizing its importance in fostering practical life skills and values among students. Students will also be able to identify the key components and subjects covered, such as agriculture, home economics, industrial arts, and information and communication technology.
𝐄𝐱𝐩𝐥𝐚𝐢𝐧 𝐭𝐡𝐞 𝐍𝐚𝐭𝐮𝐫𝐞 𝐚𝐧𝐝 𝐒𝐜𝐨𝐩𝐞 𝐨𝐟 𝐚𝐧 𝐄𝐧𝐭𝐫𝐞𝐩𝐫𝐞𝐧𝐞𝐮𝐫:
-Define entrepreneurship, distinguishing it from general business activities by emphasizing its focus on innovation, risk-taking, and value creation. Students will describe the characteristics and traits of successful entrepreneurs, including their roles and responsibilities, and discuss the broader economic and social impacts of entrepreneurial activities on both local and global scales.
Chapter wise All Notes of First year Basic Civil Engineering.pptxDenish Jangid
Chapter wise All Notes of First year Basic Civil Engineering
Syllabus
Chapter-1
Introduction to objective, scope and outcome the subject
Chapter 2
Introduction: Scope and Specialization of Civil Engineering, Role of civil Engineer in Society, Impact of infrastructural development on economy of country.
Chapter 3
Surveying: Object Principles & Types of Surveying; Site Plans, Plans & Maps; Scales & Unit of different Measurements.
Linear Measurements: Instruments used. Linear Measurement by Tape, Ranging out Survey Lines and overcoming Obstructions; Measurements on sloping ground; Tape corrections, conventional symbols. Angular Measurements: Instruments used; Introduction to Compass Surveying, Bearings and Longitude & Latitude of a Line, Introduction to total station.
Levelling: Instrument used Object of levelling, Methods of levelling in brief, and Contour maps.
Chapter 4
Buildings: Selection of site for Buildings, Layout of Building Plan, Types of buildings, Plinth area, carpet area, floor space index, Introduction to building byelaws, concept of sun light & ventilation. Components of Buildings & their functions, Basic concept of R.C.C., Introduction to types of foundation
Chapter 5
Transportation: Introduction to Transportation Engineering; Traffic and Road Safety: Types and Characteristics of Various Modes of Transportation; Various Road Traffic Signs, Causes of Accidents and Road Safety Measures.
Chapter 6
Environmental Engineering: Environmental Pollution, Environmental Acts and Regulations, Functional Concepts of Ecology, Basics of Species, Biodiversity, Ecosystem, Hydrological Cycle; Chemical Cycles: Carbon, Nitrogen & Phosphorus; Energy Flow in Ecosystems.
Water Pollution: Water Quality standards, Introduction to Treatment & Disposal of Waste Water. Reuse and Saving of Water, Rain Water Harvesting. Solid Waste Management: Classification of Solid Waste, Collection, Transportation and Disposal of Solid. Recycling of Solid Waste: Energy Recovery, Sanitary Landfill, On-Site Sanitation. Air & Noise Pollution: Primary and Secondary air pollutants, Harmful effects of Air Pollution, Control of Air Pollution. . Noise Pollution Harmful Effects of noise pollution, control of noise pollution, Global warming & Climate Change, Ozone depletion, Greenhouse effect
Text Books:
1. Palancharmy, Basic Civil Engineering, McGraw Hill publishers.
2. Satheesh Gopi, Basic Civil Engineering, Pearson Publishers.
3. Ketki Rangwala Dalal, Essentials of Civil Engineering, Charotar Publishing House.
4. BCP, Surveying volume 1
Beyond Degrees - Empowering the Workforce in the Context of Skills-First.pptxEduSkills OECD
Iván Bornacelly, Policy Analyst at the OECD Centre for Skills, OECD, presents at the webinar 'Tackling job market gaps with a skills-first approach' on 12 June 2024
2. 1 Introduction
• The basic science of sensing and actuation is based on the process of transduction
• Transduction is the process of energy conversion from one form to another
• A transducer is a physical means of enabling transduction
• Transducers take energy in any form and convert it into another
• IoT applications involves Sensing/Actuation in one form or the other
2
Dr Loganathan R
3. 1 Introduction
3
Dr Loganathan R
Parameters Transducers Sensors Actuators
Definition Converts energy from one
form to another
Converts various forms
of energy into electrical signals
Converts electrical signals
into various forms of energy,
typically mechanical
energy
Domain Can be used to represent
a sensor as well as an actuator
It is an input transducer It is an output transducer
Function Can work as a sensor
or an actuator
but not simultaneously
Used for quantifying environmental
stimuli into signals.
Used for converting signals
into proportional mechanical
or electrical outputs
Examples Any sensor or actuator Humidity sensors, Temperature Sensors
Anemometers (measures flow velocity),
Manometers (measures fluid pressure),
Accelerometers (measures the
acceleration of a body), Gas sensors
(measures concentration of specific gas
or gases), and others
Motors (convert electrical
energy to rotary
motion), Force heads (which
impose a force),
Pumps (which convert
rotary motion of shafts into
either a pressure or a
fluid velocity)
4. 2 Sensors
4
Dr Loganathan R
• Sensors can measure or quantify or respond to the ambient changes in their
environment or within the intended zone of their deployment
• Generate responses to external stimuli or physical phenomenon through input
functions and their conversion into electrical signals.
• It is insensitive to any other property besides what it is designed to detect
• A sensor does not influence the measured property
Simple Sensing Operation
5. 2 Sensors
5
Dr Loganathan R
• Sensors can be classified based on:
1. Power requirements,
2. Sensor output
3. Property to be measured.
• Power Requirements: The way sensors operate decides the power requirements
i. Active: Active sensors do not require an external circuitry or mechanism to provide
power. It directly responds to the external stimuli from its ambient environment and
converts it into an output signal. For example, a photodiode converts light into
electrical impulses.
ii.Passive: Passive sensors require an external mechanism to power them up. The
sensed properties are modulated with the sensor’s inherent characteristics to
generate patterns in the output of the sensor. For example, a thermistor’s resistance
can be detected by applying voltage difference across it or passing a current through
it.
6. 2 Sensors
6
Dr Loganathan R
• The output of a sensor helps in deciding the additional components to be integrated
with an IoT node or system
i. Analog: Generates an output signal or voltage, which is proportional (linear/non-
linear) to the quantity being measured and is continuous in time and amplitude.
Physical quantities such as temperature, speed, pressure, displacement, strain, and
others are all continuous and categorized as analog quantities. For example, a
thermometer continuously respond to changes in the temperature.
ii.Digital: These sensors generate the output of discrete time digital representation
(time, or amplitude, or both) of a quantity being measured, in the form of output
signals or voltages. Binary output signals in the form of a logic 1 or a logic 0 for ON or
OFF. The generated discrete (non-continuous) values may be output as a single “bit”,
eight of which combine a single “byte” output (parallel transmission).
• Digital sensors can be directly integrated to the processors
• Analog sensors to these Processors or IoT nodes requires interfacing mechanisms such
as analog to digital converters (ADC), voltage level converters, and others.
7. 2 Sensors
7
Dr Loganathan R
• Measured Property: Some properties to be measured based on temporal variations in
the measured property, such as ambient temperature, atmospheric pressure, and
others. Whereas some properties to be measured show high spatial as well as temporal
variations such as sound, image, and others. Depending on the properties to be
measured, sensors can be of two types.
i. Scalar: Scalar sensors produce an output proportional to the magnitude of the
quantity being measured. The output is in the form of a signal or voltage. A
thermometer is an example of a scalar sensor that has the ability to detect changes
in ambient, changes in sensor orientation or direction do not affect these sensor
ii. Vector: Vector sensors are affected by the magnitude as well as the direction and/or
orientation of the property they are measuring. Physical quantities like velocity and
images that require additional information besides their magnitude for completely
categorizing a physical phenomenon are categorized as vector quantities. For
example, an electronic gyroscope, which is commonly found in all modern aircraft, is
used for detecting the changes in orientation of the gyroscope with respect to the
Earth’s orientation along all three axes.
8. A sensor node
8
Dr Loganathan R
• Combination of a sensor or
sensors, a processor unit, a
radio unit, and a power unit
• The nodes are capable of
sensing the environment they
are set to measure and
communicate the information
to other sensor nodes or a
remote server
The functional blocks of a typical sensor node in IoT
10. 3 Sensor Characteristics
10
Dr Loganathan R
• Sensors can be characterized by their ability to sense the phenomenon based on the
following three fundamental properties
• Sensor Resolution: The resolution of a sensor is the smallest change in the measured
quantity that it is capable of detecting. A sensor's resolution determines how accurate
and precise it is. The accuracy of a sensor is independent of resolution. Sensor A can
detect changes in temperature up to 0.5◦C, whereas B can detect changes up to
0.25◦C. B has a greater resolution than A
• Sensor Accuracy: The accuracy of a sensor is the ability of that sensor to measure the
environment of a system as close to its true measure as possible. For example, a
weight sensor detects 100 kg mass as 99.98 kg, than sensor is 99:98% accurate, with
an error rate of 0:02%.
• Sensor Precision: The repeatability principle controls a sensor's accuracy. When the
sensor is repeatedly tested and proven to have the same error rate, it is said to be
very precise. For instance, the sensor accuracy is not considered great if the same
sensor provides values of 98.28 kg, 100.34 kg, and 101.11 kg after three repeat
measurements.
11. 4 Sensorial Deviations
11
Dr Loganathan R
Sensorial deviations are considered as errors in sensors
• Sensitivity error: attributed to sensor fabrication errors and its calibration. For Example
the sensor output is truncated to its maximum or minimum value, which is also the
sensor’s limits
• Offset error or Bias: The output of a sensor differs from the actual value to be measured
by a constant. For example, while measuring an actual temperature of 0◦ C, a
temperature sensor outputs 1.1◦ C every time, this sensor have an offset error or
bias of 1.1◦C.
• Non-linear behaviour: If a sensor’s transfer function (TF) deviates from a straight line
transfer function, it is referred to as its non-linearity
• Drift : the behaviour of output signal of a sensor changes slowly and independently of
the measured property. Physical changes in the sensor or its material may result in
long-term drift, which can span over months or years.
12. 4 Sensorial Deviations
12
Dr Loganathan R
• Hysteresis error: a sensor’s output varies/deviates due to deviations in the sensor’s
previous input values
• Quantization error(Digital Sensor): the difference between the actual analog signal
and its closest digital approximation during the sampling stage of the analog to digital
conversion.
• Aliasing error: dynamic errors caused due to mishandling of sampling frequencies.
Aliasing leads to different signals of varying frequencies to be represented as a single
signal in case the sampling frequency is not correctly chosen, resulting in the input
signal becoming a multiple of the sampling rate
• Environment: sensors may be prone to external influences, which may not be directly
linked to the property being measured by the sensor. For example, as most sensors
are semiconductor based, they are influenced by the temperature of their
environment
13. 5 Sensing Types
13
Dr Loganathan R
• Sensing is divided into 4 categories based on the nature of the environment being
sensed and the physical sensors being used to do: 1) scalar sensing, 2) multimedia
sensing, 3) hybrid sensing, and 4) virtual sensing
14. 5.1 Scalar sensing
14
Dr Loganathan R
• Scalar sensing encompasses the sensing of features that can be quantified simply by
measuring changes in the amplitude of the measured values with respect to time.
• Quantities such as ambient temperature, current, atmospheric pressure, rainfall, light,
humidity, flux and others are scalar values as they do not have a directional or spatial
property assigned with them.
• Simply measuring the changes in their values with passing time provides enough
information about these quantities.
• The sensors used for measuring these scalar quantities are referred to as scalar sensors,
and the act is known as scalar sensing.
• Example Sensors: Color sensor, Current sensor, Digital temperature and humidity
sensor,
• Example Event: A simple scalar temperature sensing is a fire detection event.
15. 5.2 Multimedia sensing
15
Dr Loganathan R
• Multimedia sensing encompasses the sensing of features that have a spatial variance
property associated with the property of temporal variance.
• Multimedia sensors are used for capturing the changes in amplitude of a quantifiable
property concerning space (spatial) as well as time (temporal).
• Quantities such as images, direction, flow, speed, acceleration, sound, force, mass,
energy, and momentum have both directions as well as a magnitude.
• These quantities follow the vector law of addition and hence are designated as vector
quantities.
• They might have different values in different directions for the same working condition
at the same time.
• Example Sensor: Camera sensor, Compass and Barometer
• Example Event: A simple camera-based multimedia sensing using surveillance
16. 5.3 Hybrid sensing
16
Dr Loganathan R
• The act of using scalar as well as multimedia sensing at the same time is referred to as
hybrid sensing.
• To measure vector and scalar properties of an environment at the same time, a range of
various sensors are employed to measure the various properties of that environment at
any instant of time, and temporally map the collected information to generate new
information
• For example, to measure the soil conditions at regular intervals of time to determine
plant health, moisture and soil temperature are deployed underground to estimate
water retention capacity and the moisture being held
• Additional camera sensor with the plant may be able to determine the actual condition
of a plant by additionally determining the color of leaves
• The aggregate information from soil moisture, soil temperature, and the camera sensor
will be able to collectively determine a plant’s health
17. 5.4 Virtual sensing
17
Dr Loganathan R
• Farmer A ’s sensors are being used for actual measurement of parameters, whereas
virtual data (which does not have actual physical sensors but uses extrapolation-based
measurements) is being used for advising Farmer B.
• if the data from farmer A’s field is digitized using an IoT infrastructure and this system
advises him regarding the appropriate watering, fertilizer and pesticide regimen for his
crops, this advisory can also be used by farmer B for maintaining his crops
18. 6 Sensing Considerations
18
Dr Loganathan R
• The following major factors influence the choice of sensors in IoT-based sensing
solutions:
1. Sensing range
2. Accuracy and Precision
3. Energy
4. Device Size
19. 6 Sensing Considerations
19
Dr Loganathan R
• Sensing range: The sensing range of a sensor node defines the detection fidelity of that
node.
• Approaches to optimize the sensing range in deployments are fixed k-coverage and
dynamic k-coverage. (an area of a deployment field is said to be k-covered if each
point belongs to the intersection of sensing ranges of at least sensors)
• A lifelong fixed k-coverage tends to usher in redundancy as it requires a large number
of sensor nodes, the sensing range of some of which may also overlap.
• Dynamic k-coverage incorporates mobile sensor nodes post detection of an event,
which is a costly solution and may not be deployable in all operational areas and
terrains
• For example, a proximity sensor has a sensing range of a couple of meters, in contrast,
a camera has a sensing range varying between tens of meters to hundreds of meters.
• As the complexity of the sensor and its sensing range goes up, its cost significantly
increases.
20. 6 Sensing Considerations
20
Dr Loganathan R
• Accuracy and Precision: The accuracy and precision of measurements of sensor are
critical in deciding the operations of specific functional processes.
• Typically, off-the-shelf consumer sensors are low on requirements and often very
cheap, but their performance is limited to regular application domains.
• For example, a standard temperature sensor can be easily integrated with
conventional components for hobby projects and day-to-day applications, but it is not
suitable for industrial processes.
• Energy: The energy consumed by a sensing solution is crucial to determine the lifetime
of that solution and the estimated cost of its deployment.
• If the sensor or the sensor node is so energy inefficient and it requires replenishment
of its energy sources quite frequently, the effort in maintaining the solution and its
cost goes up and its deployment feasibility goes down.
• For example sensor nodes deployed on the top of glaciers, access to these nodes is
not possible.
21. 6 Sensing Considerations
21
Dr Loganathan R
• Device Size: Most of the applications of IoT require sensing solutions which are so small
that they do not hinder any of the regular activities that were possible before the
sensor node deployment was carried out.
• Larger the size of a sensor node, larger is the obstruction caused by it, higher is the
cost and energy requirements and lesser is its demand
• For Example, human activity detector, If the detection unit is too large to be carried or
too bulky to cause hindrance to regular normal movements.
• The wearable sensors are highly energy-efficient, small in size, and almost part of the
wearer’s regular wardrobe
22. 7 Actuators
22
Dr Loganathan R
• A machine or system’s component that can affect the movement or control the said
mechanism or the system
• Control systems affect changes to the environment or property they are controlling
through actuators
• The system activates the actuator through a control signal, which may be digital or
analog
• The outline of a simple actuation system.
23. 8 Actuator Types
23
Dr Loganathan R
• Actuators are divided into seven classes:
1. Hydraulic
2. Pneumatic
3. Electrical
4. Thermal / magnetic
5. Mechanical
6. Soft memory polymers
7. Shape memory polymers.
24. 8.1 Hydraulic actuators
24
Dr Loganathan R
• Works on the principle of compression and decompression of fluids
• Facilitates mechanical tasks such as lifting loads through the use of hydraulic power
derived from fluids in cylinders or fluid motors
• The mechanical motion applied to a hydraulic actuator is converted to either linear,
rotary, or oscillatory motion.
• The almost incompressible property of liquids is used for exerting significant force.
These hydraulic actuators are also considered as stiff systems
• The actuator’s limited acceleration restricts its usage.
25. 8.2 Pneumatic actuators
25
Dr Loganathan R
• Works on the principle of compression and decompression of gases
• These actuators use a vacuum or compressed air at high pressure and convert it into
either linear or rotary motion
• Pneumatic rack and pinion actuators are commonly used for valve controls of water
pipes.
• Pneumatic actuators are considered as compliant systems and has quick response to
starting and stopping signals.
• Small pressure changes can be used for generating large forces through these actuators.
• Example: Pneumatic brakes, it convert small pressure changes applied by drives to
generate the force required to stop or slow down a moving vehicle.
• Responsible for converting pressure into force.
• The power source in the pneumatic actuator does not need to be stored in reserve for
its operation.
26. 8.3 Electric actuators
26
Dr Loganathan R
• Electric motors are used to power an electric actuator by generating mechanical torque.
This generated torque is translated into the motion of a motor’s shaft or for switching.
• For example, solenoid valves control the flow of water in pipes in response to electrical
signals.
• The cheapest, cleanest and speedy actuator types
• The use of thermal or magnetic energy is used for powering this class of actuators.
• These actuators have a very high power density and are compact, lightweight and
economical.
• Example: shape memory materials (SMMs) such as shape memory alloys (SMAs)
• These actuators do not require electricity for actuation.
• They are not affected by vibration and can work with liquid or gases.
• Magnetic shape memory alloys (MSMAs) are a type of magnetic actuators.
8.4 Thermal or magnetic actuators
27. 8.5 Mechanical actuators
27
Dr Loganathan R
• The rotary motion of the actuator is converted into linear motion to execute some
movement
• The use of gears, rails, pulleys, chains and other devices are necessary to operate.
• Used in conjunction with pneumatic, hydraulic or electrical actuators
• Also work in a standalone mode.
• Example: hydroelectric generator convert the water-flow induced rotary motion of a
turbine into electrical energy
28. 8.6 Soft actuators
28
Dr Loganathan R
• Consists of elastomeric polymers that are used as embedded fixtures in flexible
materials such as cloth, paper, fiber, particles and others
• The conversion of molecular level microscopic changes into tangible macroscopic
deformations is the primary working principle of this class of actuators.
• These actuators have a high stake in modern-day robotics.
• They are designed to handle fragile objects such as agricultural fruit harvesting or
performing precise operations like manipulating the internal organs during robot-
assisted surgeries
29. 8.7 Shape memory polymers
29
Dr Loganathan R
• Shape memory polymers are smart materials that respond to some external stimulus by
changing their shape and then revert to their original shape once the affecting stimulus
is removed.
• Features such as high strain recovery, biocompatibility, low density and biodegradability
characterize these materials, Functions similar to our muscles
• Respond to a wide range of stimuli such as pH changes, heat differentials, light intensity,
and frequency changes, magnetic changes and others.
• Photopolymer/light-activated polymers (LAP) are a particular type of SMP, require light
as a stimulus to operate.
• LAP-based actuators are characterized by their rapid response times.
• Using only the variation of light frequency or its intensity, can be controlled remotely
without any physical contact.
• LAPs shape can be changed by the application of a specific frequency, to change the
polymer back to its original shape, a light stimulus of a different frequency has to be
applied
31. 9 Actuator Characteristics
31
Dr Loganathan R
• Weight:
• The physical weight of actuators limits its application scope.
• For example, the use of heavier actuators is generally preferred for industrial
applications and applications requiring no mobility of the IoT deployment.
• Lightweight actuators used in portable systems in vehicles, drones and home IoT
applications.
• This is not always true.
• Heavier actuators also have selective usage in mobile systems, for example, landing
gears and engine motors in aircraft.
32. 9 Actuator Characteristics
32
Dr Loganathan R
• Power Rating:
• This helps in deciding the nature of the application with which an actuator can be
associated.
• It defines the minimum and maximum operating power an actuator can safely
withstand without damage to itself.
• it is indicated as the power-to-weight ratio for actuators.
• For example, smaller servo motors used in hobby projects typically have a maximum
rating of 5 VDC, 500 mA, which is suitable for an operations-driven battery-based
power source. Exceeding this limit might be detrimental to the performance of the
actuator and may cause burnout of the motor.
• Servo motors in larger applications have a rating of 460 VAC, 2:5 A, which requires
standalone power supply systems for operations. It is to be noted that actuators with
still higher ratings are available and vary according to application requirements.
33. 9 Actuator Characteristics
33
Dr Loganathan R
• Torque to Weight Ratio:
• The ratio of torque to the weight of the moving part of an instrument/device is
referred to as its torque/weight ratio.
• Indicates the sensitivity of the actuator.
• Higher is the weight of the moving part, lower will be its torque to weight ratio for a
given power.
34. 9 Actuator Characteristics
34
Dr Loganathan R
• Stiffness and Compliance:
• The resistance of a material against deformation is known as its stiffness, whereas
compliance of a material is the opposite of stiffness.
• Stiffness can be directly related to the modulus of elasticity of that material
• Stiff systems are considered more accurate than compliant systems as they have a
faster response to the change in load applied to it
• For example, hydraulic systems are considered as stiff and non-compliant, whereas
pneumatic systems are considered as compliant.