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Due to the deterioration of lubricating oil quality, equipment (especially bearings) wear is aggravated, making it difficult to predict and prevent
Lack of real-time monitoring methods, making it difficult to grasp key quality indicators such as oil viscosity and moisture in a timely manner
Lack of data-driven equipment maintenance, resulting in passive prevention and single strategies, unable to meet complex demands
Lubricating oil deterioration and equipment wear are not detected and dealt with in a timely manner, increasing the risk of unplanned shutdown accidents
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.
Preventive maintenance
Real-time monitoring and trend analysis help realize preventive maintenance, effectively extending equipment service life and improving equipment reliability
Automated oil management
The intelligent fine filtration module automatically starts based on monitoring data, optimizing the oil condition in real-time and extending the oil usage cycle
Refined O&M support
The system provides powerful decision support tools, making maintenance strategies and operational decisions more intelligent and refined
Equipment lifecycle management
The system establishes a long-term health record of the equipment, recording operational data and maintenance history to facilitate tracking and planning of equipment health management strategies
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.
In view of the content and risks of each operation stage in power generation enterprises, and with the goal of ensuring the safety of personnel, equipment, and the operation process, the system adopts a "technical defense + human defense + material defense" management approach. By integrating digital technology with power plant operation management, it enables measurable, visible, predictable, and controllable operations. This approach comprehensively manages operational risks, improves efficiency, and supports the construction of intrinsically safe intelligent power plants.
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 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.
In response to the wind farm management model of "remote centralized control, unmanned operation, and minimal staffing," an intelligent management and control solution is developed. This solution addresses business needs such as centralized control operations, on-site tasks, intelligent inspections, intelligent auxiliary controls, and intelligent supervision. It enables intelligent O&M for wind farms, ensuring operational safety, improving efficiency, and supporting the implementation of the "remote centralized control and intelligent operations" model for new energy
In response to the management model of new energy facilities characterized by "remote centralized control, unmanned operation, and minimal staffing," a two-level operations and maintenance control system is established for the centralized control center and new energy sites. This system is designed to address business needs such as centralized control operations, on-site tasks, intelligent inspections, intelligent auxiliary controls, and intelligent supervision. It enables efficient, centralized management of multiple new energy sites and facilitates intelligent operations and maintenance, ensuring operational safety, enhancing efficiency, and supporting the realization of the "remote centralized control and intelligent operations" model for new energy.
Hydropower enterprises are characterized by large plant areas, complex structures, and multiple operation points. Traditional "human defense + system" management methods are insufficient to cope with safety management in field operations. In view of the content and risks of each operation stage in hydropower enterprises, and with the goal of ensuring the safety of personnel, equipment, and the operation process, the system adopts a "technical defense + human defense + material defense" management approach. By integrating digital technology with power plant operation management, it enables measurable, visible, predictable, and controllable operations. This approach comprehensively manages operational risks, improves efficiency, and supports the construction of intrinsically safe intelligent power plants.
Thermal power enterprises are characterized by large-scale, densely packed equipment, complex processes, tightly coupled production, and multiple high-temperature, high-pressure, and flammable areas. Traditional management methods that rely on "human oversight + procedures" are insufficient to address the safety management challenges of on-site operations. In view of the content and risks of each operation stage in thermal power enterprises, and with the goal of ensuring the safety of personnel, equipment, and the operation process, the system adopts a "technical defense + human defense + material defense" management approach. By integrating digital technology with power plant operation management, it enables measurable, visible, predictable, and controllable operations, comprehensively manages operational risks, improves efficiency, and supports the construction of intrinsically safe intelligent power plants.