EcoStruxure Plant Apps industrial IoT software solutions running on CONNECT services with AVEVA Data Hub deliver the best of Schneider Electric application knowledge suited for major industries.
The EcoStruxure open, scalable, cybersecure, AI-based IIoT solutions optimize multi-site operations efficiency, reduce operating costs, accelerate solutions deployment and return on investment (ROI), and simplify governance by leveraging a single data platform.
They are designed to meet the needs of the Automotive, Food and Beverage, Life Sciences, Mining and Cement, Semiconductors, Transportation, Warehousing, and Water industries as a few examples.
Check out the key benefits of our IIoT applications
Discover EcoStruxure Plant Apps – our pre-packaged IIoT software
EcoStruxure Plant Predictive Energy
Based on automation and energy efficiency expertise, the IIoT solution monitors energy consumption and provides advanced data analytics to detect consumption anomalies across selected assets like chillers, boilers, and air compressors. The real-time KPIs across multiple sites help make better decisions and generate energy savings.
It is designed for industries that make sustainability a priority: energy consumption is reduced by up to 10% and carbon emissions by up to 40%.
EcoStruxure Plant Lean Management
A comprehensive IIoT solution that digitizes and optimizes Lean Manufacturing SIM meetings cycles across one to several hundred sites, connecting up to more than 5,000 workers simultaneously.
It provides visibility to major supply chain KPIs including safety and it empowers workers from shopfloor to top-floor allowing much faster issue escalation, decision-making, and issue resolution. Overall plant productivity, including in mature sites, is improved by up to 5%.
Get to know our open, scalable, cybersecure pre-defined software solutions
IIoT software for predictive maintenance
They provide early detection of machine issues to prevent failures and their consequences on final product quality by combining sampling, edge computing, algorithms as well as root cause analysis. Thus, they help predict and anticipate failures such as line stoppages or product losses.
With up to 3 times fewer production failures and ROI of less than 1 year, they make a significant contribution to operations efficiency.
IIoT software for predictive quality
Designed to leverage manufacturing performance, it can be installed on any existing hardware and data source to assess the current overall equipment effectiveness (OEE) of machines and overall equipment reliability. It provides real-time visibility of OEE issues and the status of corrective actions and helps optimize production line quality and availability.
It increases machine uptime by up to 10% and significantly decreases energy and water consumption.
