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输电线路的钢芯铝绞线在运行中可能发生钢芯损伤、断股现象,及时检测和诊断对于保证电网的安全运行具有重要意义。采用巡线机器人对钢芯损伤、断股进行检测是一种具有较好前景的方法。设计一种基于钢芯损伤、断股后形成的漏磁进行检测的传感器,采用48H号钕铁硼稀土永磁铁磁化输电导线钢芯,以永磁铁、导磁体沿导线的径向宽度和轴向长度为变量,以传感器质量作为优化目标,应用搜索能力强、收敛速度快的小生境自适应遗传算法优化传感器的结构尺寸。结果表明,在满足对导线钢芯磁化强度要求下,传感器的质量显著降低,有效提高了巡线机器人的携载能力,且所提方法具有通用性,适用于不同规格导线钢芯断股检测的漏磁传感器设计和优化。
During the operation of ACSR transmission line, steel core damage and breakage may occur, and timely detection and diagnosis are of great significance to ensure the safe operation of the power grid. It is a better prospect to inspect the steel core by using inspection line robots. A sensor based on steel core damage and magnetic flux leakage formed after strand breakage is designed. A 48H NdFeB rare earth permanent magnet magnetized transmission conductor steel core is used to measure the radial width and axial direction Length as a variable, the sensor quality as the optimization goal, the application of search ability, the convergence speed of the niche adaptive genetic algorithm to optimize the sensor structure size. The results show that the quality of the sensor is significantly reduced under the requirement of the magnetization of the steel core, and the carrying capacity of the inspection robot is effectively improved. The proposed method is versatile and suitable for the detection of breakage of steel cores with different specifications Magnetic flux leakage sensor design and optimization.