基于物聯網嵌入式單片機的電氣設備運行狀態遠程監控

梁月放

【摘? ?要】? ?常規電氣設備運行狀態遠程監控方法在提取運行狀態信號的時域特征時，忽略了信號數據偏差量的影響，導致對設備運行狀態監控產生的誤差較大，因此提出基于物聯網嵌入式單片機的電氣設備運行狀態遠程監控方法。利用物聯網嵌入式單片機采集正常和非正常情況下電氣設備運行狀態信號，在此基礎上，利用信號分析理論分析設備信號時域中的信號數據偏差量，計算偏移因子，進而提取信號時域特征向量，采用模糊處理模型對特征向量進行估算，實現電氣設備運行狀態遠程監控。在實驗論證中，利用所提方法的監控結果繪制設備健康指數曲線，結果與實際值基本一致，監控誤差較小，更加符合設備實際運行情況。

【關鍵詞】? ?物聯網嵌入式單片機；電氣設備；運行狀態；遠程監控

Remote Monitoring of Electrical Equipment Running State Based on Embedded MCU of Internet of Things

Liang Yuefang

（Anhui Sanlian College， Hefei 230601， China）

【Abstract】? ? When extracting the time-domain characteristics of the running state signal， the conventional remote monitoring method for the running state of electrical equipment ignores the influence of the deviation of the signal data， which leads to a large error in the monitoring of the running state of equipment. Therefore， the remote monitoring of the running state of electrical equipment based on the embedded microcontroller of the Internet of Things is proposed. The embedded microcontroller of the Internet of Things is used to collect the operating state signals of electrical equipment under normal and abnormal conditions. On this basis， the signal data deviation in the time domain of the equipment signal is analyzed using the signal analysis theory， the offset factor is calculated， and then the time domain feature vector of the signal is extracted. The fuzzy processing model is used to estimate the feature vector， and the remote monitoring of the operating state of electrical equipment is realized. In the experimental demonstration， the equipment health index curve is drawn by using the monitoring results of the proposed method. The results show that the equipment health index curve obtained by using the proposed method is basically consistent with the actual value， the monitoring error is small， and it is more consistent with the actual operation of the equipment.

【Key words】? ? ?embedded MCU of internet of things; electrical equipment; operation status; remote monitoring

〔中圖分類號〕? TP399? ? ? ? ? ? ?〔文獻標識碼〕? A ? ? ? ? ? ? ?〔文章編號〕 1674 - 3229（2023）01- 0039 - 06

0? ? ?引言

電氣設備發生故障會對整個電力系統造成巨大的經濟損失，嚴重時會導致人身安全事故發生。現有對設備運行狀態監控的方法：文獻［1］基于大數據的設備運行狀態監控方法，通過對設備故障機理進行深入分析，根據不解體測試結果，利用大數據分析預測設備是否存在潛在故障，從而進行調整、維修或更換；文獻［2］基于蟻群算法的設備運行狀態監控方法根據設備空白出現的故障定位，建立監控模型，引入蟻群算法，對模型進行求解，從而設計監控信息傳輸方案，實現對電氣設備的運行狀態監控。……