A residual current monitoring method and device for a low-voltage AC power supply system of a station
By setting a rotating positioning frame with moving and fixed contacts on the connecting plate, multiple current transformers can be connected to the negative pole together and the positive pole can be switched independently one by one. This solves the problems of signal crosstalk and hardware cost, improves monitoring accuracy and anti-interference ability, and ensures equipment safety and automated reliability of detection.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- JIANGXI HONGTAI ELECTRIC POWER IND & TRADE CO LTD
- Filing Date
- 2026-05-12
- Publication Date
- 2026-07-17
AI Technical Summary
In the existing technology, the parallel connection of multiple current transformers causes signal crosstalk, which reduces the accuracy of monitoring results and anti-interference ability, and increases hardware cost and wiring complexity. It cannot effectively solve the problem of interference-free switching between the short circuit of the positive terminal of the current transformer in the non-monitoring state and the independent lead-out structure in the monitoring state.
By setting a rotating positioning frame with moving and fixed contacts on the connecting plate, multiple current transformers can be connected to the negative pole together and the positive pole can be switched independently one by one. The unidirectional meshing of the multi-tooth ratchet and the ratchet locks the position of the connecting shaft. Combined with the automatic reset mechanism of the tension spring and the locking pin, the stability and safety of the detection process are ensured.
It enables time-division sequential monitoring of multiple current transformers, avoids signal crosstalk, improves the accuracy and anti-interference capability of residual current monitoring, reduces hardware costs and operational complexity, and ensures equipment safety and automated reliability of detection.
Smart Images

Figure CN122410106A_ABST