Smart operation inspection and control platform

1. Product concept

The intelligent operation and control platform applies big data analysis, artificial intelligence, image recognition, 3D visualization, and automatic navigation technology to substations through means such as deepening the application of drones, upgrading high-definition video functions, auxiliary control monitoring, online monitoring, and intelligent linkage. It conducts multi-dimensional remote and three-dimensional intelligent inspections, supports online monitoring of equipment, fire monitoring, security monitoring, dynamic environment monitoring, wireless sensing, audio monitoring, remote operation and video confirmation, linkage analysis of abnormal, fault, and accident video recording, visualization of remote equipment maintenance diagnosis, and real-time positioning and safety management of operators. It realizes the substitution of machines for manual labor, improves the lean and intelligent level of intelligent operation and inspection, helps to improve the work efficiency and quality of operation and maintenance personnel, and strengthens equipment status control.

2. Hardware Architecture

3. Software architecture

4. key technology

‍①Stereoscopic inspection technologySystem implementation of unmanned aerial vehicles+Camera "three-dimensional inspection, creating a new mode of integrated ground air all-round inspection.

②Comprehensive monitoring technologyComprehensive video surveillance, online monitoring, and auxiliary equipment monitoring to achieve deep perception of on-site equipment and operating environment.

③Image analysis technology：47Typical defect recognition algorithm. Various instrument readings, knife switch on/off recognition, indicator light recognition, switch recognition, etc.

④Intelligent detection technology for infrared defectsThrough semantic segmentation and automatic defect detection, automatically extract shooting targets from infrared photos and measure their temperature.

⑤Active warning technologyCombining multimodal data analysis capabilities and equipment health status assessment diagnostic algorithm models to detect and handle anomalies in advance.

⑥Digital twin technologyRealize deep integration and display of main and auxiliary monitoring, 3D, video, and inspection data, and build a digital twin system.‍

5. Core values and advantages

‍①Integrating multidimensional inspection methods to achieve three-dimensional inspection: Through drones+High definition video enables joint three-dimensional inspection of high, medium, and low levels. Regularly inspect and capture key parts of critical equipment, identify defects, and assist in unmanned aerial vehicle (UAV) route planning algorithms to improve UAV flight efficiency and ensure UAV operation safety.‍

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②Intelligent recognition, reducing costs and increasing efficiency: Supports 47A typical defect recognition algorithmN+Type instrument analysis and knife switch analysis, using intelligent analysis algorithms to identify and analyze collected images, and generate reports. Replace operation and maintenance personnel90%The above meter transcription and daily inspection work.‍

③Comparative analysis and comprehensive diagnosisCombining multimodal data analysis capabilities, achieve multi-dimensional analysis models such as over limit analysis, three-phase comparison analysis, trend change analysis, growth rate analysis, voiceprint analysis, three ratio method, gas ratio method, etc. Comprehensive diagnosis, multi-dimensional guarantee of equipment safety and operational environment safety within the station.

④Digital twin, precise controlBy using digital twin technology to construct a virtual image of a physical substation, core functions such as drone route simulation verification, drone inspection simulation exercises, high-definition video pointing and viewing, and video fusion can be achieved.

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⑤Comprehensive perceptionAssistant Decision: Use big data, edge computing, artificial intelligence and other technologies to carry out real-time data acquisition and centralized processing and analysis of multi-source data in the station, so as to realize intelligent diagnosis of equipment abnormalities, active risk early warning and automatic fault research and judgment.‍

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⑥Homework controlSafety InspectorOperator identification: After the access control detects the face, it automatically compares the identity of the personnel entering the station. Analysis of Homework Personnel Behavior: During the homework period, on-site construction personnel were found to be not wearing safety helmets, not wearing work clothes, smoking, and exceeding safety limits/Real time analysis of intrusion and other behaviors to improve on-site safety management level.‍