To accelerate development of your IOT solutions and products we provide Specialized engineering services across the entire IOT development cycle from consulting, device engineering, cloud and mobility application development, data analytics, and support & maintenance. We are having functional expertise and competency to provide standardized solutions for industrial automation and industry 4.0. Delivering tailor-made solutions that users can simply ease into with unparalleled expertise in design engineering, factory testing and commissioning of DCS, SCDA and PLC system has created benchmark and gained expert in oil and gas, pharmaceutical industry, automotive manufacturing sector, food & beverages, petrochemical and chemical industry.

1. Condition Based Monitoring(CBM)
for Electrical Equipment
An Automation IIoT Solution - AI Company
VOLTRIO SOLUTIONS PVT LTD

2. Enabling Industrial IOT With Intelligent Automation
Enabling
Technology for
Smart Industry4.0
Smartest way to
manage your
Industry data
IOT Platform for
Manufacturing &
IndustrialApplication

3. Overview
VOLTRIO SOLUTIONS PVT LTD is a automation product engineering service organization which focuses on:
 To accelerate development of your IOT solutions and products we provide Specialized engineering services across the
entire IOT development cycle from consulting, device engineering, cloud and mobility application development, data
analytics, and support & maintenance.
 We are having functional expertise and competency to provide standardized solutions for industrial automation and industry
4.0.
 Delivering tailor-made solutions that users can simply ease into with unparalleled expertise in design engineering, factory
testing and commissioning of DCS, SCDA and PLC system has created benchmark and gained expert in oil and gas,
pharmaceutical industry, automotive manufacturing sector, food & beverages, petrochemical and chemical industry.
 We offer multiple models for commercial engagement that can be tailored to meet your specific needs.

4. OUR PRODUCTS
• Energy Management Systems (EMS)
• Production Management
Systems(PMS)
• Predictive/Prescriptive Maintenance
Management Systems
• Warehouse Management
systems(WMS)
• Automation Services DCS/PLC/SCADA

5. Power Plants Oil & Gas Field Chemical Industry
Pharmaceuticals Food & Beverages Automobile Sector
WE SERVE

6. INDUSTRY 4.0
Industry 4.0 is transforming manufacturing worldwide. Factory management needs assistance as they either upgrade existing facilities, or
establish new ones that take advantage of Industry 4.0 optimization. IIoT solution architecture enables the development of intelligent Factory
Solution with the use of sensor devices, edge intelligent gateways, IIoT software platforms, and IIoT Ready Solution Suite. Our IIoT Ready
Solution Suite facilitate machine connection without affecting the existing process & equipment, allowing for collection of equipment status data,
production data, and environmental data. Data acquisition enables productionmonitoring, data integration with MES, and visualization on the
dashboard for production optimization and data driven
decision making.
CO-CREATE
The entire project is
based on collaborative
cocreation involving
Stake holders in a
process brings
diverse perspectives,
increases the quality
of ideas and instills
ownership Cocreation
is the driver for change
innovation.
CONNECT
Connect the full
variety of data from
your assets,
production lines or
entire plants.
Intelligent edge
processing allows for
secure and
optimized assets and
factory data for
streaming to the
cloud.
ANALYSE
We apply our
process knowledge
to use machine
learning and artificial
intelligence for the
purpose of analysing
and organizing your
data. we maximize
your decision making
by predicting future
maintenance and
Preventing downtime.
DESIGN
We reduce
complexity by
designing a clear and
user-friendly
workflow with you.
Dashboards, reports.
export functionalities
and alarm
management are
tailored to your
application.
Together, we
increase the value of
your processes on a
data-driven basis
through the use of
our advanced
analytics and
machine learning
toolkit to interpret
the collected data.
IMPROVE

7. Cloud Based Predictive/Prescriptive Maintenance Management System
• Our IIoT solutions enables Predictive and prescriptive maintenance strategies for key industrial assets.
• Mechanical, thermal and electrical parameters are gathered on a real-time basis through advanced sensors and using advanced analytics
trends are Identified and alerts are issued prior to failure.
• Predictive condition monitoring is most appropriate for simple systems, where single variable math can be used to predict failure. More
complex systems involve prescriptive condition monitoring, where multiple variables are analyzed to predict the failure.
• This requires more contextually driven understanding of operating conditions and more accurate diagnosis of the pending issue with fewer
false positives.

8. Proposed CBM for Kadapa Muncipal Corporation
Objectives
Health analysis, Failure prediction and failure RCA of electrical equipment’s without historical data and irrespective of its
make and model” and your proposed solution around it.
Scope
To design and develop Operational & Performance requirement for monitoring condition / health of electric equipment.
This IoT system will be designed and developed from the ground up using commercially off-the-shelf components for
fast, reliable data acquisitions, low power consumption, and data gathered by the system get reported to the cloud
server in real time to analyse the health of the equipment and failure prediction.
Proposed Solution :
We need to acquire and analyze electrical signals for condition monitoring of electrical machines through motor
current signature analysis in order to get the best possible results in an industrial environment
A continuous monitoring system must observe parameters that give to the maintenance team trustworthy information
for the decision-making.
The proposed parameters to be monitored are: voltage and current of the stator; temperature; level of vibration;
instantaneous power; level of contamination in the lubricant of the rolling; speed of rotation; and so on

9. Proposed CBM for KMC
Instantaneous Power Signature Analysis (IPSA)
Extended Park’s Vector Approach (EPVA)
Motor Current Signature Analysis (MCSA)
Electrical Signature Analysis (ESA)
The most common failures that can be avoided through the
adoption of condition monitoring methods:
1)Bearings Faults: can be caused by incorrect lubrication
2)Mechanical stresses due to incorrect assembling, misalignment
3) Stator Winding Faults
4)Mechanical problems can also occur in the stator such as loosen
edges, but this is statistically less frequent.
5) Rotor Faults: usually caused by broken bars or broke end rings,
rotor misalignment and imbalance.

10. Vibration Sensor Proposed:
• Detects dual-axis/three axis vibration up to 4 kHz bandwidth
• Output actionable data such as RMS Velocity, RMS High Frequency Acceleration, Peak Velocity, etc. which is pre-
processed from the vibration waveforms in the sensor
• Provides high accuracy vibration and temperature measurements
• Industrial grade sensor with small form factor to fit in the tightest locations
Vibration Sensor Measuring Range: 0 to 46 mm/sec or 0 to 1.8 in/sec RMS
Frequency Range: 10 Hz to 4 kHz
Accuracy: ±10% at 25 °C
Sampling Frequency: 20 kHz (default)
Record Length: 8192 points (default)
Sample Duration: 0.4 s (default)
Temperature Sensor
Measuring Range: –40 °C to +105 °C (–40 °F to +221 °F)
Resolution: 1 °C
Accuracy: ± 3 °C
Operating Temperature
–40 °C to +105 °C

11. Custom Software and Algorithms
 The software will analyze the received sensor data and produce simple actionable alerts for O&M staff.
 The algorithms will be coded into the software so that alerts and condition information are generated automa
tically without the need for manual intervention.
 The condition monitoring software algorithm will report the state of the health of the parts measured with
signals provided by OEM and identify based on the healthy ness of the Motor internal parts–
“Green Zone” for safe to run
“Yellow Zone” - for noticeable deterioration and
“Red Zone” - for indication of immediate action
 In the event of sensor damage a warning shall be generated
 All sensor data will be with time and date
 The central software installed will be having digital display of vibration values with graphical representation
 Custom reports generation based on customer requirements

15. Team Credentials
1)Y RAMESH-Managing Director
Profile:
 Bachelors degree in Instrumentation
 Hands on experience in General Electric (GE) in the design and execution of Gas
Engines and Control systems
 21+ years of experience in Managing Projects ,Services and solutions with respect to
IIOT 4.0,Industrial Automation PLC, SCADA, DCS , IOT ,Batch and MES.
Specialties : Global Projects Management – Onsite and Offsite model, Global key
account management, Setting the Processes and Strategies, Technology Consulting,
Project Management and Customer Management ,Vendor Assessments, Pre-sales,
Skill set development Program , Managing Teams.

16. Team Credentials
2) K.Sai Kiran-Director(Sales and BD)
Profile: B Tech ECE,MBA
A IT expert with 16+ years of Hands-on experience in software development, testing and cyber
security.
Key Skills:
Java script,Python, HTML, CSS,Node.JS development and SPRING BOOT experience
Android studio java,kotlin, WebAPI experience
Working knowledge of C, freertos
Product Ownerships:
1) Cyber security
2) Network architecture
3) Database management

17. Team Credentials
3) Lakshmi Narayana(Domain Specialist)
Profile:
 Masters degree in Mechanical Engineering from MNNIT, Allahabad.
 6 years of experience in process industry mechanical maintenance.
 Another 12+ years experience in Engineering Design support for Heavy Equipment,
Automobile chassis, Tipper body, Blast hole drilling machines, Special Purpose
Machines, Engine mountings, Frames and Cross Members, etc. Extensive experience
in collaborating with Simulations, Manufacturing, and cross-functional teams at the
Global level.
 Filed more than 12 patent in different countries with a granted patent from USPTO.
 Won VOLVO Global Chassis Innovation Award – 2019 while pursuing the career at
VOLVO.
 Working on a start-up to provide novel solutions in different fields.

19. Team Credentials
4) Dileep Adabala
Profile:
A software Architect with 15+ years of Hands-on experience in all levels of testing, including
performance, functional, integration, system, and user acceptance
Hands-on SQL experience.
Key Skills:
Java, HTML, CSS,JS and SPRING BOOT experience
Android studio java,kotlin, WebAPI experience
Working knowledge of C, freertos
Product Ownerships:
1) CBM for Automobile industry
2) Predictive analysis for high capacity motors for TVS/Sleep Well
3) Production management and Energy managements for Gabriel/Pernard Ricard

20. Team Credentials
5) Rohit Dingha
Profile: M Tech from DVIET,Karnal,Haryana
A software programmer with 12+ years of Hands-on experience in IIOT projects.
Key Skills:
Java script,Python, HTML, CSS,Node.JS developement and SPRING BOOT experience
Android studio java,kotlin, WebAPI experience
Working knowledge of C, freertos
Product Ownerships:
1) Visitor management
2) Cloud based Digital Signage
3) Ware house management system

21. Team Credentials
5) K.Sai Kiran
Profile: B Tech ECE
A IT expert with 16+ years of Hands-on experience in software development, testing and cyber
security.
Key Skills:
Java script,Python, HTML, CSS,Node.JS development and SPRING BOOT experience
Android studio java,kotlin, WebAPI experience
Working knowledge of C, freertos
Product Ownerships:
1) Cyber security
2) Network architecture
3) Database management

22. Our Clients
MCEME