Drift point detection algorithm for line tower coordinate abnormity verification

• Main Authors: GAO HAILIN, SONG JIHONG, WANG XUAN, ZHAO ZHONGQI, TIAN DAPENG, LIU QUANQI, ZHONG XIANCHENG, ZHANG XUELING, HAN LIANGYU, ZHOU QUNXING, HAN XUEMEI, NIU YANXIONG
• Format: Patent
• Language: Chinese; English
• Published: 12.08.2022
• Subjects: CALCULATING; COMPUTING; COUNTING; DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES; HANDLING RECORD CARRIERS; PHYSICS; PRESENTATION OF DATA; RECOGNITION OF DATA; RECORD CARRIERS; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR

The invention relates to a drift point detection algorithm for line tower coordinate anomaly verification, which comprises the following steps of: converting latitude and longitude data of a power grid line tower in a GIS (Geographic Information System) into XY coordinate data to obtain a sample set D, dividing all abnormal points and non-abnormal points in the sample set D, and further calculating and correcting all the non-abnormal points to obtain a drift point detection result; the non-abnormal points in all the steps are correspondingly put into a core object set omega, an unaccessed sample set gamma, a cluster partition C and a T set, then the cluster partition C = {C1, C2... Ck} is formed, line tower trunk line information is obtained, meanwhile, an abnormal point set O'is formed and serves as a final possible abnormal point, the abnormal point set O 'is updated and marked as a drift point, finally, the Distance (ti, ci) of each point in the T set is calculated, and the final possible abnormal point is