Overview of the plan

Building an integrated system of "procurement analysis control optimization" based on IoT+AIoT technology. Real time operation data such as current, voltage and power of equipment are collected through intelligent sensors, and typical operating modes such as no-load, light load and overload are dynamically identified by combining edge computing and digital twin model. Establish a device energy efficiency fingerprint library using machine learning algorithms, automatically generate energy-saving operation strategies, and support dynamic adjustment of load distribution and operating parameters. Integrate equipment health assessment and predictive maintenance functions, achieve panoramic energy monitoring, abnormal working condition warning, and energy efficiency optimization closed-loop through a 3D visualization interface, helping enterprises reduce operational energy consumption by 15% -30% and extend equipment lifecycle.

Scheme composition

Program features

The program highlights the "four-dimensional integration" architecture:
Multi mode perception: integrate intelligent sensors+edge computing, realize millisecond level acquisition of current, voltage, harmonics and other parameters, and build digital twins of equipment;
Operating condition fingerprint library: based on machine learning, establish typical operating condition models (no-load/overload/transient, etc.), dynamically identify energy efficiency abnormal patterns;
Closed loop optimization engine: AI driven load distribution algorithm+adaptive control strategy, real-time adjustment of operating parameters, reducing peak energy consumption by 18% -35%;
Health warning: Integrating multidimensional data such as vibration and temperature rise to predict equipment failure risks and extend service life by more than 30%;
3D visualization: spatiotemporal dynamic energy efficiency thermal map+operating condition evolution map, supporting multi-level decision optimization, forming a closed-loop system of "sampling analysis control evaluation".