基于多源數(shù)據(jù)融合的天然氣站場設(shè)備運行監(jiān)控方法設(shè)計

打開文本圖片集

中圖分類號：TQ517.1;TP277 文獻(xiàn)標(biāo)志碼：A 文章編號：1001-5922（2025）07-0129-04

Abstract：Due to the ignorance of the equipment operation and maintenance distribution deviation characteristics in the operation and monitoring of natural gas station equipment，it is dificult to accuratelyobtain the distribution matrixof operation and maintenance form of equipment operation，resulting in high monitoring leakage inductance rate and low monitoring accuracy.A method for monitoring the operation of natural gas station equipment was proposed based on multi-source data fusion.By determining the safety level of theequipment，collecting and converting the operation data of the equipment，and full considering the operation and maintenance distribution deviation characteristics ofthe equipment，the deviation function was used to obtain the operation and maintenance form distribution matrixof the equipment operation，so as to detect the state characteristic quantity.The multi-sourcedata fusion method was introduced to fuse the upper bound state information and the lower bound state information of the equipment to obtain the equipment failure probability，and then the equipment operation state evolution model was constructed.The operating state of the equipment was determined bycalculating thequantization value of the operating stateof theequipment and comparing it to a preset threshold.The experimental results showed that the monitoring leakage inductance rate of the proposed method was lower and the monitoring accuracy was higher.

Key words：multi source data fusion；natural gas station yard；natural gas equipment；operating status；character istic quantity；condition monitoring

通過傳感器和其他設(shè)備收集電力設(shè)備的實時運行數(shù)據(jù)，根據(jù)電力設(shè)備的特點和要求，選擇遞歸神經(jīng)網(wǎng)絡(luò)建立設(shè)備運行狀態(tài)監(jiān)測模型，并利用大量的電力設(shè)備運行數(shù)據(jù)和故障樣本對模型進(jìn)行訓(xùn)練，使其能夠自動識別和預(yù)測電力設(shè)備的運行狀態(tài)[1]。（剩余6080字）