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The entire process and final position of the disconnector action cannot be clearly observed, leading to uncertainty and lack of confidence during operations.
Most disconnector double-confirmation sensors require power outages for installation. To ensure grid stability and minimize impact on users, it is difficult to execute power outage plans.
For different models and types of disconnectors, sensors need to be designed and installed according to different mechanical structures, leading to adaptability issues.
Disconnector double-confirmation sensors involve complex technology and require customized designs for different disconnector structures, resulting in large construction workloads and high overall costs.
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.
Non-contact detection
Non-contact video analysis technology ensures no need for power outages, maintaining power supply continuity, reducing economic losses, and improving equipment safety and power supply reliability.
Full-process operation monitoring
Video images track the entire disconnector operation process in real-time. The double-confirmation mechanism can remind operators to verify actions in a timely manner, preventing negligence and operational errors.
Wide range of application
It is suitable for different voltage levels, different manufacturers, and various types of AIS disconnectors, GIS disconnector indicators, and external action mechanism position indicators via image recognition.
High recognition accuracy
Deep learning enables online automatic iteration of sample sets, continuously updating algorithm models in real-time to optimize accuracy and performance during use.
Traditional disconnector operations face challenges such as complex procedures, low operational efficiency, and high risks of misoperation, making them unable to meet the demands of lean substation management and the digitalization of power grids. The JOYO-A1 one-click sequence control system for substations is built on integrated substation monitoring and intelligent anti-misoperation technologies, combining magnetic sensing, micro-motor control, and secondary anti-misoperation technologies. It creates a new generation of one-click sequence control system with "comprehensive state awareness, full remote control of equipment, comprehensive anti-misoperation verification, and full coverage of operations," providing intelligent, efficient, and safe substation operation solutions for customers in the power grid, power plants, and petrochemical industries.
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.
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.
The system is designed to efficiently integrate the scattered auxiliary equipment subsystems in substations, addressing the issues of diverse equipment types, dispersed information, and isolated systems. The system includes a service gateway machine, a comprehensive application host, and front-end intelligent sensors. It features multiple functions such as online monitoring, safety protection, and dynamic environment monitoring, supporting a three-tier system architecture for substations, O&M teams, and centralized control stations. The system's application provides strong support for the digital transformation of power grid enterprises and the construction of new power systems.
Traditional disconnector operations face challenges such as complex procedures, low operational efficiency, and high risks of misoperation, making them unable to meet the demands of lean substation management and the digitalization of power grids. The JOYO-A1 substation one-click sequence control system is built on integrated substation monitoring and intelligent anti-misoperation technologies, combining magnetic sensing, micro-motor control, and secondary anti-misoperation technologies. It creates a new generation of one-click sequence control system with "comprehensive state awareness, full remote control of equipment, comprehensive anti-misoperation verification, and full coverage of operations," providing intelligent, efficient, and safe substation operation solutions for customers in the power grid, power plants, and petrochemical industries.
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 one-click sequence control system includes a one-click sequence control host, a double confirmation device for disconnect switches, a ground wire status collection device, a secondary equipment status collection device, remote control clamps, and remote control circuit breakers. It achieves full monitoring and control of primary and secondary equipment within the station, meeting the high-reliability requirements of misoperation prevention and double confirmation of disconnect switch status, providing safer and more reliable technical support for the implementation of one-click sequence control.