Intellithink provides Industrial IoT solutions aimed at enhancing asset management, maintenance, monitoring, and field service to support customers in their transition to Industry 4.0. Their platform offers real-time visibility into manufacturing processes, predictive analytics, and easy integration with existing systems, enabling improved productivity, worker safety, and operational efficiency. The company also shares case studies demonstrating successful implementations of their technology across various industries, showcasing its potential to reduce downtime and improve overall equipment effectiveness.

1. INTELLITHINK
INDUSTRIAL
IOT LABS
www.intellithink.in

2. About Us
www.intellithink.in
• We are a product company that offers comprehensive solutions in
asset management, maintenance, monitoring and field service
• Our solutions provide shop-floor the KPI’s and intelligence to
increase asset productivity and efficiency through analytics and
predictive maintenance
• We believe we can assist our customers in their journey to Industry
4.0 and be their partner of choice.
What We Do

3. Challenges in the Industry
www.intellithink.in
Real-time visibility
and monitoring
Increase Production
efficiency
Operations, up-time
and Predictive
Maintenance,
Worker Safety

4. The Problem Statement (Why ?)
www.intellithink.in
• Gaps in manufacturing processes – lack of real-time visibility or
data to make real-time data-driven decisions
• Silo or manual systems to track production, quality, energy and
machine monitoring with little or no interaction between the
systems.
• Data collected and analysed is reactive and takes them cycles to
solve with connected issues.
• Lots of manual intervention which is error prone and not productive
• Lack of Digital road-map among manufacturing companies
• Existing solutions are time consuming to implement and require
customisations

5. The Intellithink Solution
Simplify
the IOT/AI
Infrastructure
Secure
the Edges and
Data Access
Speed-up
the Application
Deployment

6. s
The Intellithink Solution
www.intellithink.in
Intellithink Platform
• Secure and infinitely scalable
platform than can handle large
amounts of data
• Multi-tenancy support
• End to end security and
authentication
• Machine learning capabilities
• Rules processing
• Alerts and notifications
• API’s
Applications
• Unified view of the
manufacturing floor that
aggregates different industrial
modules Productivity, Energy,
QA, CBM all in one
• Real-time and historical views
• Robust and powerful reporting
• Asset and Maintenance
Management
• Field Service Management

7. The Intellithink Solution
www.intellithink.in
Easy deployment in days/weeks with
little or no IT impact and can be
scaled infinitely. Cloud based means
24 * 7 support
Single solution for the shop-
floor/industry offering visibility and the
KPI’s that are required for digital
transformation
Set up rules and alert based on any
monitoring condition – trigger emails,
SMS …
PredictiveAnalytics – monitors live
data for anomalies and warns users
Industrial IOTDNA– platform and
applications ..
No long-term contracts and flexible for
every market need

8. How it Works
www.intellithink.in
2 31 Connect & Monitor Analyse and Improve Digitize and Transform
• Connect devices to the
Intellithink platform using
Industry Protocols
• Aggregate data and
monitor the KPI’s that
your business needs
• Use collected data to
gain insights into process
improvements, machine
up-time
• Transition from
Preventive to Predictive
Maintenance
• IOT blended into
enterprise applications
• Build new business
models and revenue
streams

9. Intellithink IOT Ecosystem
OPC/Mod
bus/MT
Connect
Intellithink IOT Platform
• Data Ingestion and
Aggregation
• Rule Processing
• Alerts & Notifications
• Real time analytics
• Application Programming
Interface
Customer ERP/Systems
MQTT/HTTP
Gateway –
4G/Ethernet
Dell Edge
www.intellithink.in
Intellithink Applications
• Manufacturing
Intelligence
• Service Management
• Mobile Applications

10. Aggregate data from different shop-floor system into a
scalable and secure platform for one unified shop-floor
view.
Connect disparate shop-floor systems
Ease of Integration
Easy to integrate and can be up and running in days
or weeks. Our platform is cloud based with 24*7
support with little or no internal IT impact.
Powerful Reporting and Alerts
Superior and robust reporting features to cover all
industrial use- cases i.e OEE, efficiency, energy, QA ,
process capability (cp and cpk) etc. Set up rules to
alert on any machine conditions .
Manufacturing Intelligence – Key Features
www.intellithink.in

11. Monitor production flow in real-time to highlight lags to
eliminate waste and redundancy and pursue
improvements toOEE
Productivity
Conditional Monitoring
Conditional based monitoring and alerts to eliminate
machine down-time, increase throughput and
machine reliability
Predicitve Insights
Develop intelligent and automated frameworksbased
on IOT data which can identify process, QA issues
before hand and can recommend corrective actions to
drive efficiency.Advanced analytics on machine data to
predict machine failure and move from reactive to
predictive maintenance
Manufacturing Intelligence – Key Features
www.intellithink.in

12. Track rejections by machines, codes, shifts manually
or automatically in real-time and analyze trends
Quality
Energy
Monitor energy usage across assets, lines and plants in
real-time for insights into energy optimization and
co-relation of energy data tomachine health
Maintenance Management
Track Work orders, schedule tasks and digitize all
asset maintenance information. Part planning for work
orders and mobility tools for service engineers
Manufacturing Intelligence – Key Features
www.intellithink.in

13. § Monitor in real-time parts produced vs target
§ Capture OEE automatically and in real-time
§ Capture and track downtime (planned vs
unplanned)
§ Analyse production data to eliminate waste and
redundancy to improve OEE
§ Empower the shop-floor with real-time production
data to make informed decisions that boost
productivity
Productivity
www.intellithink.in

14. Condition Base Monitoring
§ Monitor critical asset parameters i.e vibration,
temperature etc. in real-time
§ Set rules that trigger alerts on threshold
conditions
§ View and analyze historical trends
§ Transition from preventive to predictive
maintenance
§ Eliminate machine downtime, increase
throughput and machine reliability using CBM
www.intellithink.in

15. Energy Monitoring & Optimization
§ Monitor real-time energy costs and
consumption at plant, line and asset level
§ Maximum Demand, Power Factor, Power
Quality, Time of day analysis
§ Real-time anomaly detection and abnormal usage
§ Optimise your energy costs with unparalleled
insights and what-if scenarios
§ Use energy as a parameter for CBM
www.intellithink.in

16. Quality
§ Track rejections on the shop-floor by codes
and shifts
§ Video data ingestion, analytics and closed loop
control
§ Video ingestion modules on edge capture frames
from Basler/RTSP for real-time analysis
§ Streamline inspection procedures, improve
decision making, and reduce costs driven by
quality defects.
www.intellithink.in

17. Asset Management & Maintenance
§ A comprehensive asset database that tracks sites,
maintenance history, BOM, service and parts
planning
§ Workorder management and advanced
scheduling
§ Service Templates mapped to work-order types
§ Mobility tools for technicians for WO fulfilment and
part requisition
§ Plan service based on calendar time, usage or
machine conditions
§ Integrate and digitize plant maintenance
www.intellithink.in

18. Alerts, Notifications & Reports
§ Create rules that send alerts or create Work-
orders, based on thresholds and anomalies
that indicate service issues
§ Empower workers on the shop-floor with the right
alerts and escalations for action to be taken on
the shop-floor
§ More than 25 ready-made reports and
dashboards that give provide insights
§ Export and schedule reports to be emailed
automatically to you
www.intellithink.in

19. Powerful Analytics & Insights
§ Track down-time and identify factors that are
causing the maximum down-time
§ Map OEE to shifts and jobs to analyse trends
§ Understand the impact of part/job setup
changeover
§ Build and train ML models on the edge or cloud
§ Identify bottlenecks, find the root cause of
problems, drive plant efficiency and improve at a
faster rate.
www.intellithink.in

20. KEY BENEFITS
IMPROVE
Use IOT data to identify
process and QA issues,
improve efficiencies, reduce
waste and increase profits
EMPOWER
Empower workers to leverage
real-time KPI’s and metrics to
make data driven decisions
on the shop-floor
PREDICT
Anticipate what failures may
occur and what maintenance
needs to be performed on the
shop floor, before they occur
to prevent unplanned
downtime
www.intellithink.in

21. Case Studies
Client and Problem:
A large industrial estate's Effluent treatment plant was dealing with high maintenance costs and was looking at
implementing condition based monitoring to lower maintenance costs and keeping machine up-time high
Solution:
• Energy, temperature and vibration monitoring was implemented across critical equipment at the ETP, using industry
grade sensors and energy meters.
• Data received from sensors on the field was aggregated to an industrial grade M2M router, which then pushed the
data to the Intellithink platform. .
• Rules were created on the platform to alert for anomalies on the data that was received. The data received was
processed and analysed, then graphically visualized in the platform.
Benefits:
• Lower downtime
• Condition based monitoring leading to better predictive maintenance
• Real-time energy monitoring
www.intellithink.in

22. Case Studies
Client and Problem:
A leading manufacturer of automotive and architectural glass. The company wanted to monitor the performance of their
glass lamination lines in real-time. They also wanted to understand and analyse machine alarms which impacted
production.
Solution:
• Intellithink installed industrial grade M2M routers that captured data from the lamination machines PLC's via OPC.
• Data from the machines was transmitted data every 30 seconds to the Intellithink platform over MQTT protocol. The
acquired data was persisted in the platform.
• Rules were setup in the platform for notifications on machine alarms, to appropriate personnel.
• Dashboards in the platform provided the customer, production and target quantities in real-time at a machine and
line level. Data was analysed to map machine stoppages to productivity.
Benefits:
• Real-time visibility into machine and line - output vs target – OEE
• Impacts of machine alarms on productivity – trends on machine health and enhance productivity
• Real time escalations to increase efficiency in the shop floor www.intellithink.in

23. Case Studies
Client and Problem:
A 35 year old manufacturer based out of Chennai, India that manufactures industrial rolling components and bearing
accessories. They wanted to track OEE automatically in real-time and automatically using IOT. The goal was to improve
the efficiency of the assembly line.
Solution:
• The shop-floor had a combination of different machines, some had PLC’s which had job information, whereas others
had to fitted with sensors that could calculate job start and stop times. Energy meters were also connected to
calculate energy consumption and capture idle time.
• Data collected from the machines was transmitted to the secure Intellithink platform via MQTT which persisted the
data.
• The Productivity module of Intellithink’s Manufacturing intelligence product, provided the customer with OEE,
uptime, downtime calculations at a line and asset level. The functionality came out of the box with very little
customisations. It provided the customer with in-depth machine utilisation at a shift level
Benefits:
• Real-time visibility to operations and KPI’s
• Increased operational effectiveness
• Better production and shift planning
www.intellithink.in

24. Case Studies
Client and Problem:
• A leader in renewable energy principally involved in the fabrication and construction of wind farms
• The team currently uses a heuristic model based framework for enabling predictive maintenance
• The team wanted to move towards a fully automated and analytical framework for establishing predictive
maintenance across all its wind farms
Solution:
• Identified the relationship between parameters and turbine faults
• Established a comprehensive escalation matrix for issue severity identification
Benefits:
• The team observes decreased downtime due to appropriate predictive maintenance of wind turbines and does not
need to constantly monitor the framework
• The team is able to free up time from manual maintenance of the predictive maintenance framework
• IntelliThink has developed an intelligent and automated framework which identifies turbines at risk of fault, creates
relevant work orders and recommends appropriate corrective actions
www.intellithink.in