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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.
3D monitoring
The system uses refined 3D modeling to enable friendly human-machine interaction for "safety protection, fire monitoring, environmental monitoring, intelligent control, online equipment monitoring, intelligent lock and control, video monitoring, and intelligent applications."
Intelligent monitoring
With intelligent sensors and sensor networks, the system collects data and edge computing results, monitoring the operating status of auxiliary equipment in real time. It automatically detects abnormalities and triggers alarms, implementing closed-loop automatic control based on preset strategies.
Visual linkage
By integrating video monitoring, the system links with safety, fire, and other alarm systems, ensuring equipment inspections and operations are actively tracked, with video footage being pushed and stored in real time.
Platform-based management
On a unified platform, the system integrates and optimizes resources from various auxiliary equipment subsystems, ensuring comprehensive information sharing and efficient operation across systems.
Real-time intelligent data analysis
Using AI algorithms, the system analyzes equipment parameter data in real time, monitors the health status of equipment and quickly detects abnormalities and defects. The system accurately identifies the specific fault types of equipment by analyzing comprehensive data features.
Historical data predictive diagnosis
Based on equipment's historical data and related algorithms, the system analyzes and predicts the health status of equipment, achieving fault prediction and preventive maintenance and ensuring the reliability of equipment operation and reducing operational risks.
Intelligent warning and decision support
The system intelligently analyzes real-time and historical equipment data to identify risk points and provide warnings. Based on an expert diagnostic library, it offers optimal O&M strategies for abnormal equipment conditions, reducing operational costs and improving productivity.
Personalized customization service
According to different scenarios and customer requirements, we provide personalized customization services, creating specialized solutions tailored to meet users' differentiated needs, thereby enhancing user experience and system applicability.
The system integrates ubiquitous power IoT technology, with the intelligent safety helmet as the core device. It connects upward via 5G/WIFI/WAPI to cloud service software, supporting business data interaction, constructing BeiDou differential base stations, and providing centimeter-level precise positioning for personnel, enabling real-time monitoring, remote work permissions, and supervision; it connects downward via Bluetooth/Lora to intelligent wristbands, intelligent safety belts, intelligent glasses, and other wearable devices to transmit data, status, and instructions.
By collecting the voltage and internal resistance of each battery cell and its changing trends, combined with advanced failure judgment models, the system can accurately assess battery performance and provide warnings, achieving online balanced maintenance of batteries and significantly extending battery life.
The online temperature monitoring system for power equipment integrates cutting-edge technologies such as CT power induction, IoT, and edge computing to record the temperature of power equipment and its heat-prone components in real-time, enabling comprehensive temperature monitoring and analysis.
The digital twin platform integrates new technologies such as 3D, AI, and big data, utilizing laser point clouds for precise real-scene modeling. It maps physical entities to digital models, creating a one-to-one replica of on-site conditions across industries. By matching multi-data sources with real-scene models, it constructs a virtual and real "unified map," enabling 3D presentation of primary and auxiliary equipment monitoring, remote intelligent inspections, stereoscopic anti-misoperation, and intelligent campuses, providing enterprises with a unified, efficient, and intelligent digital twin solution to drive digital transformation across industries.
refined remote supervision can be achieved, enabling remote maintenance and enhancing substation O&M management levels.
The intelligent warehouse management solution focuses on controlling tools and equipment , access control, video surveillance, and environmental factors within the safety tools and equipment warehouse.
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.
Wind turbines often face issues such as tower shaking and uneven foundation settlement during operation. To improve maintenance efficiency and ensure stable operation of the turbine, the solution adopts the method of installing tilt sensors at the top of the tower and base, and deploying static level meters to monitor the radial shaking and tilting of the tower in real time. The system provides early warnings and tower health assessments by analyzing collected data, and detects and addresses potential safety issues in a timely manner by using the real-time 3D simulation and an early warning system.
The system can monitor the wear status of the equipment in real-time by tracking key indicators such as moisture content, viscosity, and dielectric constant of lubricating oil. In addition, an intelligent fine filtration module is connected in parallel in the oil circuit circulation unit. When abnormal oil indicators are detected, the module automatically starts to filter the lubricating oil of the gearbox, removing impurities from the oil and preventing equipment failures, achieving perfect linkage between monitoring and diagnosis, greatly avoiding unplanned downtime and extending the equipment's lifespan.
Based on real-time monitoring data, 3D visualization, and intelligent features supported by AI and IoT technologies, the system comprehensively senses and intelligently controls multi-dimensional information such as equipment, environment, and personnel in distribution substations and transformer areas. It identifies potential faults and abnormal situations, combining human, physical, and technical defenses. It enhances the safety and reliability of distribution substations and transformer areas, reduces manual inspection and maintenance costs, improves response speed, and provides foundational support for the intelligent management of distribution networks.
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.
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.