一种基于AIOT的水电站辅助设备能耗监测管控系统
By leveraging edge control and multi-source data fusion within the AIoT system, the problem of multi-dimensional collaborative analysis for monitoring the energy consumption of auxiliary equipment in hydropower stations has been solved. This enables real-time monitoring of equipment status and precise optimization of energy consumption, thereby improving operational efficiency and equipment safety.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- GUANGDONG POLYTECHNIC NORMAL UNIV
- Filing Date
- 2026-04-20
- Publication Date
- 2026-07-17
AI Technical Summary
Existing technologies for monitoring the energy consumption of auxiliary equipment in hydropower stations lack multi-dimensional collaborative analysis, resulting in delayed identification of energy consumption anomalies, inability to accurately locate wasteful processes, reliance on manual inspections for equipment operation leading to the oversight of faults, low maintenance efficiency, and inflexible control of lighting systems, all of which contribute to energy waste.
The system adopts an AIoT-based energy consumption monitoring and control system for auxiliary equipment in hydropower stations. By integrating a lightweight AI inference engine and a multi-core processor through an edge control module, a three-dimensional digital twin model is established. Combined with multi-source data fusion and AI algorithms, it enables the identification of abnormal equipment status and optimization of energy consumption, supports rapid equipment access and fault diagnosis, and builds a full-link security protection system.
It enables the measurable, manageable, and controllable energy consumption of auxiliary equipment in hydropower stations, reduces the need for manual inspections, improves operation and maintenance efficiency and equipment safety, accurately identifies energy waste links, optimizes energy use, and reduces operation and maintenance costs.
Smart Images

Figure CN122068668B_ABST