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With intelligent analysis and 3D visualization, the system provides innovative technical support for the safe and stable operation of infrastructure in sectors like power grids and petrochemicals, driving substation, distribution station, and transmission line operations toward intelligence and unmanned management. Through intelligent analysis and 3D visualization, the system provides innovative technical support for the safe and stable operation of critical infrastructure in industries such as power grids and petrochemicals. It drives key areas, including substations, distribution stations, and transmission lines, toward intelligent and unmanned operations.
Platform-based management
It manages high-definition video inspections, robot inspections, and drone inspections on a unified platform to achieve information sharing and seamless integration between operations, which will enhance inspection efficiency, monitoring intensity, and fault response speed.
Equipment collaboration
The inspection system supports collaborative operations with drones, robots, cameras, and mobile apps. All intelligent devices operate autonomously, forming an integrated three-dimensional inspection system. The inspection results are consolidated into a unified report.
Multi-dimensional data
The system captures and integrates multi-dimensional data, including audio, video, and images, using devices such as cameras, acoustic sensors, and partial discharge detection devices, ensuring panoramic coverage of inspection areas. This provides O&M personnel with more comprehensive and accurate insights.
Intelligent inspection
Using AI technology, the system can quickly and accurately identify and analyze equipment conditions, defects, environmental risks, and personnel behaviors during inspection, providing timely warnings and fault diagnosis.
Intelligent decision-making
The system thoroughly analyzes and mines collected big data to help managers make accurate decisions and optimize O&M strategies. It also forms closed-loop automatic control based on preset strategies and generates related reports.
3D monitoring
Using 3D modeling technology, the system enables real-time monitoring of the inspection process, displaying a realistic 3D representation of the inspection scene, the status of main and auxiliary equipment, features, details, the operating environment, and processes.
Visual linkage
The system generates inspection tasks for main and auxiliary equipment based on linked signals, achieving video linkage for equipment alarms, inspections, and operations, improving interconnectivity and the comprehensive application of systems.
System integration
The intelligent inspection system bridges the gap between O&M systems, seamlessly integrating with auxiliary control and anti-misoperation systems. It supports video-based double-confirmation of disconnect switches and ensures control over all scenarios.
Utilizing image recognition algorithms combined with feature extraction, data augmentation, and model fusion technologies, the system automatically and intelligently detects the open/close status of the disconnector, precisely identifying four states: open in place, close in place, abnormal opening, and abnormal closing. These states, combined with traditional auxiliary contacts, form a "multi-source confirmation" criterion to prevent incomplete disconnector operations, ensuring safe disconnector status transitions during one-click sequence control operations.
By deploying various intelligent devices such as sensors, high-definition cameras, infrared thermography, robots, and drones, the system collects critical parameters like the temperature, vibration, sound signature, meter readings, and environment of electrical equipment in real-time. Through big data analysis and AI algorithms, it conducts in-depth analysis of the monitoring data, achieving fault warnings, status assessments, and lifespan predictions. It generates visual reports, enhancing substation O&M efficiency and management levels, and strengthens the safety and stability of power grid operations.
By deploying various intelligent devices such as sensors, HD cameras, infrared thermal imagers, robots, and drones, the system collects real-time key parameters of electrical equipment, including temperature, vibration, sound patterns, meter readings, and environmental data. Through big data analysis and AI algorithms, the monitoring data is deeply mined and intelligently analyzed to enable functions like fault prediction, condition assessment, and life expectancy forecasting. The system generates visual reports, improving the efficiency and management of petrochemical electrical O&M while enhancing the safety and stability of petrochemical equipment operations.
The auxiliary equipment monitoring system, based on technologies such as IoT, big data, intelligent sensing, artificial intelligence, and 3D modeling, integrates and standardizes the resources of various isolated and scattered auxiliary control subsystems. This achieves optimized system resource allocation, information sharing, and seamless business integration between systems, addressing the complexities of substation auxiliary equipment, scattered operational information, and lack of coordination. It enhances the intelligent O&M of substations and supports the construction of new power systems.
The intelligent auxiliary monitoring system focuses on precise management of auxiliary equipment, and uses IoT, AI, and big data analysis to achieve real-time monitoring of equipment data and in-depth diagnostic analysis. The system provides deep insight into the status of auxiliary equipment, including fire monitoring, safety protection, power environment, and online monitoring subsystems. By remotely controlling and managing equipment, it enhances fault prediction and preventive decision-making capabilities, achieving intelligent O&M and reducing personnel pressure while improving efficiency and safety.