Lightapp is an Industrial Internet of Things software that uses real time data from the shop floor to inform decisions and engage employees. Lightapp provides a wide range of solutions for automatically gathering, measuring, verifying, and analyzing data about plant performance.
Lightapp optimizes resource allocation across the plant by taking into consideration energy drivers and production resources to create insights and workflows that guide operations.
In addition to optimizing resources, machine learning and ai algorithms can be deployed to understand machine status and deploy predictive maintenance, helping to reduce plant downtime by moving from reactionary to pre-emptive actions.
Validated by the California Energy Commission and 3 universities
Policymakers are looking to energy efficiency to reduce the world’s dependency on fossil fuels and address climate change. Yet our understanding of how individual behavior influences energy use is still poor. This project aims to narrow that knowledge gap through a new advanced energy monitoring system designed to save industry energy and money.
The E2e Project has partnered with Lightapp Inc. to conduct the largest demonstration and evaluation, to date, of an innovative energy monitoring system for industrial facilities. Deploy Lightapp across 100+ manufacturing facilities to measure the effects of resource analytics software and promote new energy policy.
This project will provided 100 industrial customers and policymakers empirical evidence about whether advanced energy monitoring is a cost-effective approach to save energy and reduce greenhouse gas emissions.
The Big Picture
Dated maintenance practices and increasing competition across all manufacturing verticals is creating the need for real time monitoring and analysis of plant resources to thrive as a manufacturing business.
Lightapp’s compressed air module is a great way to introduce how new technologies and data can be used to save money and improve operational efficiency.
Why Compressed Air?
Compressed air is necessary to maintain production, expensive to produce, and often wasteful given that leaks and inefficiencies do not provide an immediate danger to people or the manufacturing process. This makes it an ideal example to show how real time data and internet of things on the plant floor can be leveraged to improve efficiency and save money.