基于改进BP网络的数字化智慧电站故障预警系统研究

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中图分类号：TM744+.3;TP277 文献标志码：A文章编号：1001-5922（2025）07-0179-04

Abstract：Inorder to solve the problems brought by thecomplexoperating environment，high load andunbalanced current of the power station，a fault detectionsystem fordigital smartpower station based on BP neural network was designed.Three hardware modules of station control layer，interval layer and process layer were included in the system，according to the modular design concept，the software program fordataacquisition，faultdetection andonline early warning were designed，and finalythe software program was added to thehardware system，the specific nformationof the power station fault was obtained throughthe fault recording device，thecause of the power station fault was diagnosed through the intelligent terminal，the corresponding alarm was sent out according to different reasons， and the detection and early warning of the power station failure wascompleted.Experimental results showed that the proposed method had better current acquisition effect and better fault location ability.

Key words：digital smart power station； BP neural network； fault recording device； fault detection

传统电站故障检测方法存在人力主观性、盲区和延迟等问题，无法满足现代高效、安全、可靠的电站运维需求[1]。（剩余5128字）