Cloud Based Predictive Maintenance And Analytics Solutions
Business Value-adds of our Predictive Monitoring Solutions
Our IoT Consultants for Industrial Automation have delivered projects related to Enterprise Battery Management Systems (BMS), Solar Energy Tracking System, Industrial Drive Controls and more.
In this journey of more than 13 years, the following benefits have been delivered to customers across India, US, Germany and Europe:
- Higher Asset Availability
- Improved Work-force Productivity
- Optimized Energy Consumption
- Lower operational costs
- A Fool-proof Industrial Asset Management solution at your disposal
Features of our Cloud Based Predictive Maintenance Solution:
Designed based on Internet of Things (IoT) Technology Stack, our Predictive Monitoring, Analytics and SCADA solutions are designed for Industrial Asset Management.
Here is a sneak-peek into some of the carefully designed features that ensure a winning RoI:
Meet Our IoT Leaders
[IoT Video] How does a Predictive Maintenance (PdM) Solution Work?
System Design of our Predictive Maintenance Solution
- Sensor network for Data Collection: A powerful network of IoT sensor nodes is integrated with the industrial assets to constantly monitor their conditions. These IoT sensors collect real time data regarding current health of the assets. The collected data is compared with the preset threshold values to detect or predict malfunctions
- IoT Gateway hardware and software: Microcontroller Hardware board and software design of the IoT Gateway can be custom-made as per the project requirements.
This IoT gateway acts as a communication bridge between the IoT sensor nodes and cloud back-end.
- Machine Learning for Predictive Analysis: Raw data from sensors is converted into actionable insights at the Cloud backend.
Data is filtered to identify relevant data from raw data.
Depending on the project requirements, predictive maintenance algorithms (Machine Learning, Deep Learning etc) can be integrated with the Cloud Application.
Data is processed and analysed using Machine Learning models ( based on project requirements) and AI tools , to accurately predict equipment failure
Cloud backend also hosts databases and an interface is designed to manage integrated third party systems
- Mobile and/or Web interface: With operator centric HMI/UI, the mobile app and/or web dashboard act as a central control unit for managing the plant operations
Data is made available real-time and user-role management, report generation and other plugin integrations can be customized as per the requirements.
Following are the primary components of our predictive maintenance solution:
[Customer Success Story] How our Team Delivered a Predictive Maintenance Solution for UPS Battery Monitoring System
Find out how we are partnering with industry leaders to create intelligent, fool-proof industrial maintenance systems using Predictive Maintenance:
- Business Challenges:
- Our customer, a trusted Tier-I supplier of electric and automation systems for Industrial Plants, on one of their Uninterrupted Power Supply (UPS) field deployment tests, found a critical issue related to timely maintenance.
- In the absence of an IoT platform solution for battery monitoring, our customer could not deliver the advantages of predictive maintenance to its clients. Thus they were looking for an IoT software development partner for advanced Industrial automation solution.
- Zero system downtime due to Predictive Maintenance (PdM) of the in-service UPS
- Reduced the overall cost of ownership for the clients
- Enabled their system to efficiently address load balance challenges during the charge and discharge cycles
Related Blogs: Learn more about Predictive Maintenance Solutions, Future Trends of Industrial Asset Management & more
Expertise in IoT Tools and Technologies
- Message Queuing Telemetry Transport (MQTT): Regarded as a very versatile and lightweight protocol, MQTT is ideal for environments that allow optimal bandwidth usage. MQTT protocol has minimal code footprint and can run on any type of operating systems.
- NarrowBand IoT (NB-IoT): Designed for applications that require to communicate small chunks of data over longer periods of time, NB-IoT technology consumes less power, is easy to deploy, offers extended long range coverage and is very reliable and secure.
- Open Platform Communications (OPC): Open Platform Communications or OPC is one of the most widely used protocols for the reliable and safe exchange of data. OPC is a great value addition to an IoT system as it can facilitate safe streaming of data to desired destinations such as a cloud app or a third party app. Some of the data types captured in OPC are:
- Real time parameter data
- Historical Data
- Alarm and alerts