基于改進BP網(wǎng)絡的數(shù)字化智慧電站故障預警系統(tǒng)研究

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中圖分類號：TM744+.3;TP277 文獻標志碼：A文章編號：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

傳統(tǒng)電站故障檢測方法存在人力主觀性、盲區(qū)和延遲等問題，無法滿足現(xiàn)代高效、安全、可靠的電站運維需求[1]。（剩余5128字）