光传感监测绝缘子污秽的成分分析

Analysis of natural pollution deposit on optic sensor for monitoring of insulators contamination

光传感盐密在线监测系统是基于介质光波导中的光场分布理论和光能损耗机理,通过监测电力系统绝缘子周围等值盐密,从而实现对输电线路的在线监测。自然污秽物的组成,影响着光技术测量盐密的准确度。选取四川地区的17个监测点的自然污秽物,通过对污液样本进行过滤、取清液后,做离子色谱分析,得到阴阳离子的组成及含量。分析得出,污秽物的主要成分是硫酸钙;通过分析不同污染源下盐密-光衰曲线与硫酸钙含量之间的关系,得出在工业污染源,随着盐密值的增加,光衰减量的变化并不大,而其主要原因则是硫酸钙含量偏高导致了盐密值的虚高。

This paper describes a system for the online monitoring of insulators contamination, the system is based on the light energy loss theory and the distribution of dielectric optical waveguide, and monitors equivalent salt deposit density near insulators on the power system by using optical technology, so as to realize online monitoring of transmission line. Component of natural pollution deposit is influencing the accuracy of measure online monitoring by the optical sensor. Selection of the composition of natural filth in 17 monitoring sites in sichuan, The composition and content of anions and cations were obtained by ion-chromatographic analysis after filtration and purification of sewage samples. It is concluded that the main component of pollution is calcium sulfate. Through taking further analysis of impacts on equivalent salt deposit density of different contamination components, and finally draws the conclusion that actual salt density is dramatically smaller than the apparent salt density owing to different proportion of calcium sulfate for different pollution sources.