Internet is no longer just a global network for people to communicate with one another using computers, but it is also a platform for devices to communicate electronically with the world around them. The result is a world that is alive with information as data flows from one device to another and is shared and reused for a multitude of purposes. Harnessing the potential of all of this data for economic and social good is one of the primary challenges and opportunities. IoT enabled data driven predictive maintenance is becoming relevant in all the major industries as it can drive efficiency by providing higher levels of safety and quality at a fraction of the current costs. Thanks to Big Data, Analytics and IoT devices, predicting potential failures is going to be a real capability…but what happens after a failure is predicted, the need for maintenance is detected or a part replacement is required? Even if you can predict failures, dynamic technician scheduling associated with equipment maintenance management requires insight into real-time held inventory, technician location and estimated service completion time. Establishing an ecosystem where customers, equipment producers, service companies and all other digital service providers can collaborate is the right answer.
3. INTERNET OF THINGS
Internet of Things is the network of physical objects that contain embedded technology to
communicate and sense or interact with their internal states or the external environment.
Source: Gartner
5. Hardware embedded, sensors
Cloud/Big data Enterprise Software
Network Operators
Device & OS vendorsNetwork eq. providers
Industry “leaders” Public sector
Industry – demand side
DRIVING FORCES BEHIND IoT
6. IoT BUSINESS OPPORTUNITIES
New business
models
The IoT will help
companies create
new value streams
for customers,
speed, time to
market and
respond more
rapidly to
customer needs
Real-time
information on
mission-critical
systems
Enterprises can
capture more data
about processes
and products,
more quickly
and radically
improve
market agility
Diversification
of revenue
streams
The IoT can help
companies
monetize
additional services
on top of traditional
lines of
businesses
Global
visibility
The IoT will make it
easier for
enterprises to see
inside the business,
including tracking
from one end of the
supply chain to
other , which will
lower the cost of
doing business in
far-flung locales
Efficient,
intelligent
operations
Access to
information from
autonomous
endpoints will allow
organizations to
make on-the-fly
decisions on pricing,
logistics and sales
and support
deployment
Source: IDC
5 Ways IoT Will Create New Opportunities
7. SMART LOGISTICS – PART OF INDUSTRY 4.0
Smart Mobility Smart Logistics
Smart Products
Smart Grids Smart Buildings
9. FLEET MANAGEMENT – THE FUTURE IS DIGITAL
Digital technology will have a major role to play
Mobile
Real-time data
Cloud Computing
Internet Of Things
10. Asset tracking
Linked to overall fleet management, allows the tracking of all goods and
physical items allocated to fleet operations
MAJOR COMPONENTS OF FLEET MANAGEMENT
Operational Fleet Monitoring and Management
Real-time equipment tracking, KPI management per truck, fleet and location
Equipment dispatching
Assigning equipment to customers
Technician scheduling
Location, skill requirement, shift of work based crew scheduling
Condition based, predictive maintenance
Remotely view and manage equipment servicing
Security and safety
Equipment and driver security during operation or while stopped, recovery of stolen
vehicles
11. MAJOR BENEFITS OF FLEET MANAGEMENT
Reduce Operational
Cost
Increase Productivity
Improve Employee
Efficiency
Extend Life of
Equipment
Improve Driver
Safety
Better Breakdown Recovery
Ensure Regulatory
Complience
Promote Responsible
Driving
Increase Customer Satisfaction
12. FLEET MAINTENANCE
Correctieve
Maintenance
Performed to identify,
isolate, and rectify a
fault so that the failed
equipment, machine,
or system can be
restored to an
operational condition
Preventive
Maintenance
Schedule of planned
maintenance actions
aimed at the
prevention of
breakdowns and
failures. Preserve and
enhance equipment
reliability
Predictive
Maintenance
Techniques that help
determine the
condition of in-service
equipment in order to
predict when
maintenance should be
performed. Minimize
disruption of normal
operations, while
allowing right time
repairs.
13. SMART LIFT TRUCKS
GPS
Engine data
Fuel
Camera
Speed & Accelerometer
Temperature Mast Tilt Angle
Tyre pressure Battery
Proximity sensor
Load presence
Mast & steering
sensor
Heavy load
position
Oil condition
14. IoT-ENABLED SERVICE ECOSYSTEM
Your equipment tells you
precisely what kind of service it
needs, where, why, and
what its estimated life time will
be without that service
Predictive,
condition-based
Maintenance
Allocate and plan
maintenance
tasks according to the
anticipated,
measured or calculated
condition of a component,
device or system
Remote monitoring and
self optimizing
Sense Raw data is collected from hundred or thousands of sensors,
locally processed or transmitted wireless to remote monitoring
Decide
Analyse the data, take decisions locally or through remote
analytical services. Private and public data are combined
using cloud –based services
Act Adapt and optimize the performance of the process locally or
take actions to replace the part causing problems
15. INTELLIGENT SPARE PARTS
Predictive
Maintenance
Self diagnostics identify
failing components
resulting in automated
parts ordering
Spare parts supplier
OEM Manufacturer
3D printing factory
Ref. #
Service orchestrator
Embedded sensors
Real time, condition based monitoring
Part identification and direct ordering
Classical or additive manufacturing
17. CONNECTED TVH EQUIPMENT
Business
Intelligence
Predictive Model
Development
Product
Engineering
Gateway
Local
Analytics &
Decision
Service
Engineer
Data Streaming Data Warehouse
Edge Platform Enterprise
Pentaho Data Analytics & Event Processing
Decision Management Data Visualization Device Management
External data services
Fleet
Management
Service
Management
21. MAJOR BENEFITS
Moving from Two-Step to One-Step Maintenance
Increasing the availability of equipment, optimize
the usage and reduce the operational cost
Empowering Equipment Maintenance
Combining Human Intelligence with Machine
Learning
Allowing the development of a new business model
Offering Lifting Capacity as a Service
Improve driver safety and promote responsible driving
22. ONE SIZE DOES NOT FIT ALL
Data Transfer Rate Mbps
BTLE Bluetooth Low Energy
LoRa Low power, Long Range
LTE Long-Term Evolution
LTE-M Long-Term Evolution Mobile
NFC Near Field Communication
Choose the right wireless communication technology
LTE, WiFi - Predictive maintenance
LoRa – Asset tracking
BTLE – Local data transfer
Multi-Interface Gateway with Edge Analytics Capability
CAN-Bus data transmission
rate : 1 Mbps
SOM=Share Of Market Source: LoRa Alliance
23. IoT - SOURCE OF BIG DATA
The massive scale and highly dynamic nature of the IoT, the huge
amounts of data streamed from the physical world, and new
communication patterns demand novel programming, content delivery, and
network management.
IoT generates large quantities of data that need to
be processed and analyzed in real time
Data aggregation and processing at the Edge.
Relevant data is forwarded to central site for
additional processing
The Value comes from the Information that’s hardest to manage
In Maintenance Mode a
lift truck generates more
than 3 MB / min through
CAN-bus
24. IoT & PREDICTIVE ANALYTICS
Raw Data
Collection
Edge Data
Filtering
Real-Time
Data Analysis
Exploratory
Data Analysis
Predictive
Modelling
Integrate into
Operations
Iterate
Signal Analysis
Event Analysis
Root Cause Analysis
Sensor value distribution analysis
Linear regression …
Event Tracking & Filtering
Event Correlation
Event Aggregations …
PREDICTIVE
ENGINE
25. CONNECTED EQUIPMENT ECOSYSTEM
Connected
Equipment
Ecosystem
Geospatial
Services
Location
Geo-fencing
Service
Company
Service and
Asset
Management
Equipment
Sensor based
information
Social
Media
Customer
experience
Customer
User profile
Events
from the
local
environment
Single, integrated view of equipment condition
Real-time, personalized alerts
Predictive capabilities e.g. maintenance
and service issues
Extended Capability
Outcomes
Superior customer service
Profitable aftermarket services & products
Improved, interactive user experience
Integrated equipment data available to 3rd parties
Improved quality and functionality of future products
Moving from reactive to a proactive company
26. IoT – A NEW PARADIGM
IoT is here to stay, rapidly
connecting the physical world to
Internet
IoT is inevitable, affecting every
industry, every company, every job,
every person
For businesses, IoT requires a
mindset shift because it will
create and capture value differently
Products can addresses needs in a
predictive manner, leveraging data
and frequent updates
IoT is both driver of new products
cycles and another leg of cost
efficiencies
IoT will create new winners long
before losers find out they've losing