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Traditional multimeters and ammeters cannot accurately determine the operating status and performance of batteries.
Maintenance personnel have difficulty obtaining early failure data of batteries, making it hard to prevent accidents effectively.
In a series-connected battery system, if one battery fails prematurely, it may lead to the failure of the other batteries.
The uncertainty of battery status can cause system paralysis and data loss, with unforeseeable consequences.
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. With remote network communication functions, the system supports remote measurement, remote signaling, and remote control operations, and realizes real-time monitoring and data management of battery groups through a cloud service platform, greatly improving maintenance efficiency and reliability.
Centralized monitoring and management
The system manages battery group information through a centralized network, allowing maintenance personnel to grasp the status and performance trends of batteries across various sites in real-time.
Real-time proactive battery warning
The system monitors each battery unit's parameters online, triggering an alarm through indicator lights and sound signals when parameters exceed preset ranges.
Comprehensive battery performance optimization
The system can adjust the floating charge voltage online and perform charging and discharging, realizing online maintenance and activation of batteries to extend their service life.
Battery O&M strategy diagnosis
The battery O&M system monitors battery performance and health in real-time, and identifies and warns of degradation and failure trends in a timely manner.
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 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.
refined remote supervision can be achieved, enabling remote maintenance and enhancing substation O&M management levels.
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.