110kV架空输电线路无人机巡检点降维优化对策

Optimization Measures for Dimension Reduction of UAV Inspection Points on 110kV Overhead Transmission Lines

传统的110kV架空输电线路例行检查方式存在效率低下、人力投入过高的问题。因此,需要研究一种无人机智能巡检技术来提高巡检工作的效率和安全性。本文以架空输电线路中最常用的110ZM输电塔为例,首先对塔的被观测点进行离散建模,并降维分析得到二维模型,然后使用PSO智能优化算法改进模型,以获得更优的覆盖率。结果表明,无人机巡线作业能缩短工作周期,显著减少飞行点数量,提高观测效率。

The traditional routine inspection method for 110kV overhead transmission lines has problems of low efficiency and excessive manpower investment.Therefore,it is necessary to study a drone intelligent inspection technology to improve the efficiency and safety of inspection work.This paper takes the most commonly used 110ZM transmission tower in overhead transmission lines as an example.Firstly,the observed points of the tower are discretized and the two-dimensional model is obtained through dimensionality reduction analysis.Then,the PSO intelligent optimization algorithm is used to improve the model to obtain better coverage.The results indicate that drone line patrol operations can shorten the work cycle,significantly reduce the number of flight points,and improve observation efficiency.