The core advantage lies in its 24-hour uninterrupted online monitoring capability, which can obtain real-time performance data of transformers without manual shutdown testing. The dissolved gas analysis module can detect hydrogen, methane and other fault characteristic gases in transformer oil in real time, and the AI algorithm can build a transformer health index model based on multi-dimensional data to accurately predict faults such as winding overheating and partial discharge. The IP65-rated outdoor installation shell can be directly installed in the outdoor cabinet of the substation without additional machine room construction. It supports multi-channel synchronous monitoring, can connect detection sensors of multiple transformers at the same time to realize cluster management, and reserves third-party system docking interfaces to adapt to existing power grid operation and maintenance platforms.
Detailed specifications include: partial discharge detection sensitivity: ≤0.5pC; oil dissolved gas analysis accuracy: ±0.1ppm; temperature monitoring range: -40℃~150℃; insulation resistance monitoring range: 0~1000TΩ; data storage capacity: 10TB; support for local and cloud dual storage; 4G communication module supports national data transmission; the equipment power supply adopts redundant design with built-in UPS backup power supply; operating environment temperature: -20℃~60℃; relative humidity: 5%~95% no condensation; support for remote firmware upgrade of the equipment.
It is mainly applicable to long-term online monitoring of transformers in large hub substations and regional grid core substations, as well as transformer status management of new energy step-up stations. Typical usage scenarios include annual intelligent operation evaluation of substations in provincial power grids, unmanned transformer monitoring of offshore wind power step-up stations, and preventive maintenance management of substations in urban core areas, helping the operation and maintenance team transform from regular maintenance to condition-based maintenance, greatly reducing operation and maintenance costs and power outage risks.
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