The installed base of IOT products is growing exponentially along with its economic impact. Innovators are seeking a new generation of technology solutions that will help them create, operate and maintain smart connected products. It is a system of systems world that is complex, heterogeneous with a mix of incompatible, non-standard, multi-vendor, smart & not-so smart, connected and not-connected products that generate incredible amounts of data to be analyzed for insight and value. In this presentation, Jayraj Nair, AVP and Head of IoT, Infosys Engineering Services will share his experience’s building real world IOT solutions, innovative ways in which a system integrator can enable the integration between the physical and digital worlds and accelerate the adoption of Internet of Things.
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Infosys' session on IoT World - Systems Integration in an IOT world: A practitioner’s view
1. System Integration in an IOT world
Jayraj Nair, Head – IOT Practice and AVP – Engineering Services, Infosys
2. Content
2
• Infosys at a glance
• Smart, connected products and operations
• Industry 4.0 and survey results
• Capability levels – monitoring, control, optimization
• Rethinking predictive analytics – IIP
• Ecosystem partnership – IIC
3. Infosys at a glance
3
Infosys Intellect ValuesPeople Clients
Founded in Pune,
India in 1981
$8.7 billion revenues
950 clients
50+ countries
$40.3 billion market
capitalization
176,000+ staff
98 nationalities
97 percent of staff are
university educated
22 percent hold masters
degrees or doctorates
94 percent are
consultants and
engineers
World’s largest corporate
university
2 percent of revenues
invested in R&D
More than 300
researchers
Investing $500 million in
Innovation Fund
505 patents pending and
204 granted
Transparency,
ethics, and respect
98.3 percent of projects
delivered on time
96.6 percent business
is repeat business
2 percent of profits go to
the Infosys Foundation
Topped Asiamoney’s
Corporate Governance
Poll in the Domestic
Country category
4 out of top 5
US banks
6 out of top 10 global
CPG
8 out of top 10
global pharma
4 out of top 5
global aerospace
and defence
6 out of top 10
global telcos
4. Infosys Engineering Services
4
250+
clients
20+
years
Global
operations
8000+
engineers
Keyengineeringservices
Mechanical, structural and manufacturing engineering
Product lifecycle management
Knowledge based engineering and analytics
Electronics / embedded / electrical engineering
Value analysis and value engineering
Plant automation control services
Networking and telecom engineering
Industries
Aerospace
Discretemanufacturing
Automotive
OEM,SemiconductorandHi-tech
Telecomserviceproviders
Medicaldevicesandhealthcare
Retail,CPGandtransport
ISVandservices
Energyandutilities
5. Integrating smart, connected products
5
1 2 543
Hardware and
software
embedded design
of intelligent
devices,
intelligent
gateways devices,
device security,
and
multiple protocols
such as MQTT,
AMQP, STOMP
MODBUS,
PROFINET, OPC
Connectivity
solution around
Wi-Fi, ZigBee,
Bluetooth, Zwave,
3G, and 4G
moving to 5G
SIM; M2M
connectivity
management;
traffic
engineering;
network and
device operations
Management of
end devices for
state and status;
data modeling;
cloud hosting;
device software
management;
policy rules
engine;
complex event
processing;
security; and
integrity of data
Database
integration,
CRM integration
data warehouse,
workflow
management,
workforce
management,
enterprise mobility
Stream
processing,
actionable
analytics,
data visualization,
statistical
computing,
business
dashboards,
predictive and
prescriptive
analytics,
business insights,
monetization, and
continuous
improvement
Intelligentdevices
Connectivity
Devicemanagement
Enterpriseintegration
Businessanalytics
6. Smart, connected products and Industry 4.0
6
Operations
efficiency
Production optimization
(OEE)
Production
planning and scheduling
Productivity modelling
Statistical quality control
Inventory optimization
Maintenance
efficiency
Condition monitoring
Predictive maintenance
Maintenance
planning and scheduling
Reliability-centered
maintenance
Root cause analysis /
anomaly detection
Service efficiency
Remote management /
remote services
Field service
management
Materials management
(spare parts / inventory)
Service life cycle
management
Supply chain analytics
Information
efficiency
iDashboard
Data quality framework
Asset life cycle
information model
Machine-born data
management and
analytics
Knowledge management
Energy efficiency
and sustainability
Energy management
Resource efficiency
Asset sustainability index
Safety performance
(Alarm management,
EHS)
Regulatory / standards
compliance
Impacts value chain Transforms asset efficiency
7. Industry 4.0 survey results
7
Study : FIR Institute at the University of Aachen, Germany + Infosys
Participants : 433 Industrial Manufacturing executives
9. Deploying varying levels of IoT capability
Monitoring
visibility
E.g., factory
visibility
Control
operations
E.g., Health
Safety
Optimization
E.g., Predictive
analytics
9
Reference solutions @ booth #220
10. 10
Implemented a real-time plant visibility solution for one of the
largest food and beverage companies in the world
Solution
• Real-time capture of production data from factory floor
equipment and systems
• Mobility solution implemented for ‘on-the-go’ quality inspection
• Intelligent dashboards with real-time and historical performance
reporting
Results
• Overall line and plant effectiveness increased from 45 percent to
60 percent (which has significantly impacted plant throughput
and profitability)
• Manual paperwork reduced by 70 percent
• Enterprise data duplication reduced to 0 percent
• Reduction in frontline resource fatigue and equipment downtime
• Implemented root-cause analysis for quicker troubleshooting
• Increased speed and accuracy in decision-making
• Significant productivity improvement in quality inspection (mobile
on-the-go)
Challenge
A global FMCG company needed to modernize its factories across
multiple locations to improve operational efficiency and effectiveness
11. 11
Developed a manufacturing intelligence system for
one of the largest manufacturers of heavyweight motorcycles
in the world
Solution
Implemented a leading-edge manufacturing integration and intelligence
system, fully integrated with ERP and shop floor systems
Results
• Real-time visibility into production rejects and start-up rejects, reduced
scraps, and improved the quality measure of production systems
significantly
• Enhanced the overall equipment effectiveness (OEE) of the plant
• Implemented preventive maintenance by tracking the order inflow into
production systems and proactively resolving them
• Engaged in innovation co-creation, partnering in their innovation strategy
Challenge
A global automotive company needed better insight into its manufacturing
systems in order to build an intelligent manufacturing enterprise
12. 12
Enabled a real-time information management system
for a global mining major
Solution
• Enabled integration and interoperability between
multiple manufacturing systems, historical data and
legacy systems
• Critical systems moved to newer converters – without
disruption to business continuity
• Established a more stable platform for the existing
quality system for smelter operations
Challenge
A global mining major needed real-time visibility across the
mining value chain – extraction, transportation,
beneficiation and processing
Results
• Improved day-to-day scheduling, resulting in increased
efficiency and productivity
• Improved availability of business-critical applications
• Global roll-out of new KPIs
• KPI standardization across similar operations
13. Deploying varying levels of IoT capability
Monitoring
visibility
E.g., Factory
visibility
Control
operations
E.g., Health safety
Optimization
E.g., Predictive
analytics
13
Reference Solutions @Booth 220Reference solutions @ booth #220
14. 14
Implemented a biometric field engineer safety monitoring solution
for one of the largest global manufacturers of escalators and
elevators
Challenge
A global manufacturer of escalators and elevators needed real-time
visibility into the safety of their field engineers
Solution
• Implemented a biometric field engineer safety monitoring solution
• Real-time monitoring and reporting of hazardous situations for multiple individuals and teams simultaneously
• Designed for and deployed in harsh and remote environments
• Developed and deployed:
• Mobile app for field engineers
• Remote monitoring sensors
• Mobile app for facility managers
• Integrated directly with other enterprise systems and / or emergency services
Results
• Ensured faster response times in emergency environments
• Reduced the number of accidents as the vital parameters of each
field engineer is constantly monitored
15. 15
Development of a centralized dashboard to implement continuous
and remote monitoring of field-based personnel for a leading mining
company
Challenge
A leading mining company needed to continuously
monitor their field-based personnel and miners, and
provide assistance during life-threatening conditions
Solution
• Developed a centralized dashboard to
continuously monitor field workers
• Identified the severity of the breach or
hazardousness of the situation
• Delivered immediate evacuation alerts and
tracked high-risk workers
Results
• Faster evacuations
• Faster mobilization of specialist
resources
• Reduction in the cost of health
insurance cover for miners
• Improvement in the health and safety
matrix
16. 16
Infosys built a demonstrator to establish the relevance of Industry
4.0 in the delivery of smart services together with a global leader in
power and automation technologies and the largest technical
university in Germany
Solution
• Android-based mobile application
• Applied to a technically complex class of instruments
whose functionality is critical in the process industry
• Real-time QR code scanning to understand current
device status and maintenance needs
• Multiple workflows to manage and maintain complex
gas analyzers
• Cloud-based self-service experience
• Integrated security solution
Results
• Enhanced user experience for both the customer and the
field engineer
• Faster and best-in-class service support from OEM
• Significant reduction in mean time to repair (MTTR)
• Enhanced quality monitoring and reporting
17. Deploying varying levels of IoT capability
Monitoring
visibility
E.g., Factory
visibility
Control
operations
E.g., Health safety
Optimization
E.g., Predictive
analytics
17
Reference Solutions @ Booth 220
18. 18
Enabled predictive maintenance and corrective action for a mining
major
Analyzed 300 million records in
less than 4 seconds
Reduced the cost by 1000 percent
Helped customer save on costly
downtime caused due to
equipment failure
Provided predictive analytics to
identify when equipment on field is
likely to fail or needs maintenance
in order to maximize uptime / in-
service for equipment
19. 19
Improved service levels of ATMs for a leading ATM
manufacturer
Cleansed 4 million records within
27 seconds
Reduced cost by 18 percent, from
increasing mix to 40 percent
staged calls
Increased efficiency by 14 percent,
from 3 to 4 service calls per
technician per day
Reduced time to identify chronic
defects from weeks to hours
20. 20
Prevented network faults using predictive analytics
for a telecom major
Analyzed 16.7 million records in 5
seconds
Impending network faults in the
next week predicted with a high
degree of accuracy to fix the
network failure points
Solution based on open-source
stack, including Apache Spark and
prebuilt Infosys components, was
delivered in just 5 days
Improved price-to-performance
ratio
21. Rethinking predictive analytics
21
Scope
All data – not just structured,
not just internal
Speed @ scale
Handle massive scale without
compromising speed (decision time)
Insights
Move from request-response to
self-discovery
22. Prebuilt
Components
from Infosys
& Partners
Open Source
Data
Scientists
Technical
Experts
Infrastructure
Management
Analysts
Functional
Experts
9
Building blocks – Infosys Information Platform
23. Ecosystem partnership – IIC
23
• Infosys will focus on the development of future IIC testbeds, leveraging its expertise in
predictive analytics to enable Industry 4.0 essentials of maintenance, operations, information,
service, and energy efficiency
• Solutions will leverage the recently announced Infosys Information Platform (IIP) and be
anchored on open-source and open-access ingredients for rapid innovation by the partner
community
Reach out to us IOT@Infosys.com to collaborate and co-innovate
Rio Tinto use case:A mining company operating a fleet of thousands of trucks wanted a predictive maintenance platform to prevent losses incurred due to breakdown of vehicles.
The trucks carrying mineral ore were fitted with sensor technologies. The fleet of trucks pinged data that was of little use in the absence of a mechanism that analyzed data in real time. Infosys developed a proof of concept (PoC) using open-source tools and technologies such as Hadoop and cloud-based hardware. It enabled the company to process voluminous amount of data and glean meaningful insights.
Predictive maintenance resulted in reducing vehicle downtime. It delivered significant improvements in downstream supply chain operations and profitability. The Infosys solution offered processes-related data in real time. The scalable solution can support the company’s business plan to increase the fleet of trucks by more than 300 percent with a corresponding increase in sensor data load.
Diebold – A leading ATM manufacturing and service company wants to reduce its cost in maintaining ATMs also provide better customer service and SLAs
Predict that an ATM is going to fail in the next week (over 80 percent confidence level) based on alert and incident data from XMS and machine data
Ticketing data from 8500 ATMs / 4M records was ingested into Spark and then cleaned out (date, spaces, null fields etc.) in just 27 seconds on 10 node AWS cluster (32 CPU, 64GB RAM, 640 GB SSD storage)
Enriched data to create the parameters required for analysis. Spark Logistic Regression run on top of this data with data prediction in 60 msecond
Data ingested to Oracle and visualization done using Tableau
BT – A global telecom company offering data services to customers using xDSL technology partnered with Infosys. Network faults in the xDSL backbone caused disruptions in data services. The company sought a model to predict the network faults proactively. Infosys developed a ‘control signature’ of healthy lines using signal processing and statistical techniques based on the Hadoop-based Infosys Information Platform.
Infosys created a ‘fault signature’ from the connection properties in the days leading up to the reporting of a ‘fault’. The team built a predictive model that reported the probability of an impending fault within a week.
The formula for the predictive model was applied to 16.7 million network line characteristic data records, processed within 5 seconds on a medium-sized 5 node cluster. The outcome was a subset of network faults that could be predicted with a high degree of accuracy