Transformer transportation task statistical analysis method

• Main Authors: LI WENTAO, ZHOU ZHENGCHAO, ZHOU HAIBIN, HAN CHUANDING, XUE XIANGJIE, ZHANG ZHENGXIANG
• Format: Patent
• Language: Chinese; English
• Published: 29.05.2018
• Subjects: CALCULATING; COMPUTING; COUNTING; DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES; PHYSICS; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR

The invention discloses a transformer transportation task statistical analysis method, and belongs to the technical field of electric power. A transformer transportation on-line detection system is established and comprises a detection terminal and a big data platform, wherein the big data platform comprehensively counts the transformer transportation tasks through the supplier dimension, the speed acceleration dimension, the time dimension and the geographic position dimension to analyze out an optimal transportation scheme, the repeated occurrence of the same transportation accident is avoided, the transportation route and time are reasonably planned, the occurrence rate of accidents in the transportation process is reduced, the maximum speed limit of the transportation process is reasonably determined, and a qualified and reliable supplier is realized; according to the invention, the optimal transportation scheme is comprehensively analyzed from the supplier dimension, the speed acceleration dimension, the