多参量融合的路灯触电事故检测方法研究

针对路灯触电事故发生时触电电流幅值相对较小、且叠加于线缆及灯具的固有剩余电流之中，从而导致其难以准确检测的问题，提出一种多参量融合的路灯触电事故检测方法。该法通过采集路灯系统集总剩余电流、灯具电流和相电压信号的瞬时值，分别计算其中疑似人身触电事故剩余电流分量、随机容性剩余电流分量和负载电流有效值变化率的归一化特征量，进一步利用模糊逻辑器将这些特征量进行融合处理得到人身触电事故综合特征识别系数后，与经验阈值比较从而判别是否有人身触电事故发生。实验和工程应用结果表明，该方法可有效提高路灯照明系统中人身触电事故的识别准确性。

Research on detection method of street lamp electric shock accident based on multi parameter fusion

Aiming at the problem that the amplitude of electric shock current is relatively small and superimposed on the inherent residual current of cables and lamps, which makes it difficult to detect accurately, a multi parameter fusion detection method for street lamp electric shock accident is proposed. By collecting the instantaneous values of the total residual current, lamp current and phase voltage signals of the street lamp system, the normalized characteristic quantities of the residual current component of the suspected personal electric shock accident, the random capacitive residual current component and the change rate of the effective value of the load current are calculated respectively, then the fuzzy logic device is used to fuse these characteristic quantities to obtain the comprehensive characteristics of the personal electric shock accident. The recognition coefficient is compared with the experience threshold to judge whether there is an electric shock accident. The results of experiment and engineering application show that the method can effectively improve the recognition accuracy of electric shock accidents in street lighting system.