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The power system exhibits complex and random characteristics, lacking 3D real-scene models for real-time monitoring of equipment, environment, and personnel status.
Tens of thousands of data points are generated in real-time, intertwined and interconnected, but it is difficult to maintain data consistency and to intuitively and conveniently identify information patterns.
Operational personnel lack a platform for prior exposure to on-site environments and equipment, making it impossible to perform immersive simulations or stereoscopic emergency training in advance.
The system lacks the ability to infer future trends through real-time simulation models, providing no valuable reference data for equipment O&M decision-making.
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.
Real scene presentation
Through detailed 3D modeling and rendering, the system realistically reproduces the on-site situation, providing operators with the latest equipment status and environmental information. It is applicable to various industry scenarios.
Single-source data
Integrates simulation training, primary and auxiliary equipment monitoring, real-scene inspections, personnel and task management into a unified virtual and real "map." This enables O&M personnel to achieve 3D awareness of the work area.
Data interconnection
By connecting main business systems such as safety management and control, auxiliary control, and inspection systems, it realizes real-scene linkage, integrates key data, and provides a unified visualization platform to replace the multi-system query mode.
Precise control
Based on a 3D real-scene model combined with precise positioning technology, the system allows real-time viewing of on-site personnel's locations, activity traces, arrival status, and work completion details.
Risk warning
The system provides real-time alarms during operation and inspection, broadcasting warnings for dangerous points and behaviors such as personnel entering live bays by mistake, expanding the work area, entering hazardous zones, exceeding monitoring distance, leaving the post without permission, or overstaying in a designated area.
Real-time interaction
Staff can simulate workflows and rehearse emergency measures in a virtual environment, learning how to take appropriate safety measures and follow the correct operational steps.
Fault prediction
The system provides multi-parameter fault warnings by monitoring and analyzing equipment. It offers a more intuitive presentation of fault locations and real conditions, enabling quick on-site assessment and efficient repairs.
Intelligent decision-making
Through comprehensive analysis of multi-source data, the system simulates real-world changes in the digital world, predicts future trends, and provides valuable reference data for equipment O&M decisions.
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.
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.
The substation WAPI network has been established to achieve full signal coverage within the station. The wireless intelligent grounding wire management system has been deployed, securely connected to the wireless network, enabling real-time collection of grounding stake status. This transforms the original microcomputer-based anti-misoperation system's "virtual remote signal" for grounding stakes into a "real remote signal," preventing unnecessary operations during grounding wire installation and removal, and eliminating errors such as incorrect attachment or missed removal of grounding wires. An intelligent grounding wire cabinet is deployed to ensure the proper storage of grounding wires and manage their usage based on ticket issuance.
Establish a WAPI network in the substation to achieve full signal coverage in the area, and deploy a wireless intelligent grounding wire management system. This ensures safe access to the wireless network and enables real-time data collection of grounding pile status, transforming the original “virtual remote signal” of the grounding pile in the microcomputer anti-misoperation system into a “real remote signal.” This avoids unnecessary travel during grounding wire installation and removal and eliminates the risk of misplacing or failing to remove grounding wires. An intelligent grounding wire cabinet is deployed to ensure the proper storage of grounding wires and manage their usage based on ticket issuance.
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 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.
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 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.
The substation maintenance safety management and control system enhances the locking and control functions for substation maintenance, and adds mandatory interlocking for secondary safety measures, maintenance topology verification, pre-test directed authorization, and online equipment status verification. It also integrates the maintenance workflow with existing anti-misoperation devices/systems to establish a comprehensive safety management system for the entire maintenance process, including safety measure deployment, operation control of safety measure devices, maintenance equipment drive operation, safety measure removal, and equipment status comparison, improving the production safety level of substation maintenance.
The intelligent 3D anti-misoperation system ensures safety management and control during disconnector operations, equipment maintenance, and routine inspections by utilizing 3D visualization of the work site, real-time personnel positioning, trajectory tracking, violation detection, and real-time voice alarms for risks. This system effectively prevents unsafe and non-standard operations, such as exceeding work boundaries, entering live bays by mistake, or misoperation of equipment, which provides strict control over personnel trajectories, work areas, and operational behaviors.