machinepulse products

Confidential & Proprietary Document

IntroductionWhat we do

Leading IoT solutions provider

Leverage Domain expertise to develop

scalable solutions

Universal Data Gateways

Advanced Analytics

Our Capabilities

Cloud based Big Data Architecture

Our PhilosophyAny Device. Any Network. Any

Protocol.

Technology Stack

Data Analytics


Future Ready Tech

Stack

Domain Agnostic

Scalable Big Data

Architecture

Machine Learning

Capabilities

Any Device.Any Network.Any Protocol.

Cloud Platform Domain Specific Applications

Secure communication

architecture

solarpulsewindpulsefactorypulse


Product Portfolio – Hardware

iceBoxTM

• Customizable for end use across industries

• Industrial grade hardware from leading vendors

• Currently deployed across 22 utility solar plants

• Compatible with Modbus RS 485, TCP IP, OPC

MACXTM

Hybrid Source Controller + Data Acquisition device

• Source side controller to Minimize DG & Grid

consumption

• Supports multiple DG & Battery setups

• 2 months local data backup provision

Node X1TM

Data Acquisition device

• Supports multimode communication:

Wifi, LAN, GPRS

• Supports ModBus RS 485 & TCPIP

• Remote configuration and updates

• 2 months local data backup provision


Product Portfolio – Software erixisTM

Robust IOT cloud platform to enable data storage and advanced analytics

• Easily scalable cloud architecture

• Architecture can be deployed on local server as well

• State of the art big data structure and databases

• In built device management capabilities

CORTEX AGENTTM

Robust Middleware Communication Layer

• OPC UA compliant communication bus

• Inbuilt encryption protocols

• Auto Device discovery and configuration

• Device level user authentication and access control

CortexAgent

Focus on Analytics

Maturity of Analytics Capabilities

Com

petiti

ve A

dvan

tage

Raw Data

Cleaned Data

Standard Reports

Ad Hoc Reports

Predictive Modelling

Optimisation

What Happened? – Descriptive Analytics

Why did it happen? – Diagnostic Analytics

What will happen? – Predictive Analytics

How to improve? – Prescriptive Analytics

Sense & Respond Predict & Act

Generic Predictive Analytics

Source: SAP

Integrated in MachinePulse

solutions

Under Development


Industry Specific Solutions

solarpulseIndustry leading Solar monitoring & asset management solution

Capacity No. Of sitesWindPulse 456 MW 10

windpulse

factorypulseDeveloped in association with a leading Indian IPP

No. Of sitesSteel Processing Centre 1Auto Engine Manufacturing Plant 1

Pilot testing of solution developed in association with Mahindra group companies

* 200 MW under deployment

Utility Scale DistributedCapacity Monitored 300 MW 5.1 MWSites Monitored 25 14


Our Customers

India’s Best performing PV plant: PR Fonroche Energy runs on SolarPulse (>84% PR consistently for 18 Months)


Awards & Recognitions

Solar IT and Data Service Provider for outstanding “Contribution Towards Development of Solar Industry”

- 5th Global Solar EPC Summit Awards, 2015

MachinePulse named #1 fastest growing PV monitoring solution in India

-GTM Global PV Research, 2014

Mahindra Innovation Award

-Mahindra & Mahindra, 2012

Solar IT & Data Analytics Company Of The Year award for outstanding “Contribution Towards Development of Indian Solar Industry”

- India Solar Week, 2016


Why MachinePulse

Domain ExpertiseOur Solutions are developed by leveraging domain expertise both in-house and with industry experts

• Offers maximum value for customers

• Key product differentiator

Solutions support decisions instead of pure monitoring

Global StandardsOur products are developed in accordance with industry standard certifications. This ensures

• Highest standards of quality

• Low failure rate

• Enhanced customer experience

Stable Partner

MachinePulse is a part of the Mahindra Group, ensuring stability, highest standards of customer support & quality

Your projects are designed to last 20+ years, we will support you throughout

Cutting Edge Technology Stack

We work on future ready technologies and benchmark with the best in the world

• Modular platform architecture supports rapid scale up

• Ensures reliability and security of your asset’s data


Intelligent PV Monitoring PlatformCurrently Monitoring 305 MW across 39 sitesAdditional deployment under Progress: 200 MW

solarpulse

SolarPulse: Enabling Smart O&M

Maximizing Generation

Performance Benchmarking

Driving Components to Global maxima

Maximizing Uptime

Failure Prediction & Preventive Maintenance

Anomaly Prediction

Objectives of Smart O&M

LOWER LEVEL ANALYTICS ADVANCED ANALYTICS

AUTONOMY

Existing Solar Monitoring Solutions

solarpulse

OPTIMISATIONCONTROLMONITORING

Smart O&MTraditional O&M

What is Smart O&M

Traditional SCADA

Benefits of Smart O&MAsset Owners

Increased Generation

Higher Uptime

Higher Asset Efficiency

Asset Operators

Reduced O&M Cost

Rapid Issue Resolution

Performance Analytics

SolarPulse Features

SolarPulse

Plant Monitoring

Maximize Performance

Generation Forecasting

Optimize O&M

Portfolio Management

• Role based access to track relevant plant KPIs• Real time monitoring of physical health of plants & devices• Detailed alarms & reports with options to customise

• Device benchmarking to identify underperforming devices• Algorithms to predict plant & device outputs in real time• Benchmark actual device performance with ideal state

• Advanced algorithms to forecast plant generation as per regulations

• Predictive maintenance scheduling and tracking• Integration with ERP to simplify inventory management

• Access all plants from a single dashboard• Compare plant performance on key KPIs

SolarPulse uses advanced analytics algorithms to ensure that our customers have a better understanding of their plant performance both at an aggregated and each device level

Advanced Analytics – SolarPulse USP

Existing Solutions Analytics

Pure monitoring solutions – Descriptive Analytics

Benchmarking based on relative output

Fault prediction and forecasting not available

Inefficient loss estimation

SolarPulse Analytics Features

Real time generation prediction for solar plants

Models to predict individual device performance

Proactive Failure detection using constant condition monitoring

Detailed loss estimation approach by modelling uncertain factors


Wind Monitoring PlatformCurrently Monitoring 456 MW across 10 siteswindpulse


Challenges Faced by IPP’s

Multiple OEM support

Limited Data access

Optimize O&M cost

Reduce Downtime

Lack in Analytics

Granular reporting Poor GUI


WindPulse - FeaturesPortfolio

Management

Performance Analytics

Wind Power Forecasting

Asset Managemen

tPredictive AnalyticsPredictive Maintenance:

Predictive maintenance using machine learning and AI

OEM Agnostic:Multiple OEMs integrated into common solution

Root cause Analysis:Turbine benchmarking & Energy loss analysis

Generation prediction:Power prediction using machine learning Algorithms

Scheduler:Maintenance scheduling and tracking

Thank You

Contact us:[email protected]+91 22 6174 1608/1609

www.machinepulse.com