Abnormality analysis method and system based on generating capacity

• Main Authors: HU LIANG, DU YUANSHENG, WANG RUIXUE, ZOU YOU, SI WEIWEI, GAN SHUANGYUAN, TANG YANGZI, ZHU SHUAI, LU WENQING, LIU SIMIN, ZHU YONGJUN, LIU WEIFANG, LI LIN, HU SHICONG, LUO LIANG, SHI BO, LEI SONGSHAN, WU KAIQIANG, JIANG LIANGBIN, LI XIAOTING, WU QIULIN, LI KAIFA, JI ZHIQIANG, XIA JUN, YAO LIN, CAI JIANWEI, LU SIYI
• Format: Patent
• Language: Chinese; English
• Published: 07.11.2023
• Subjects: CALCULATING; COMPUTING; COUNTING; DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES; ELECTRIC DIGITAL DATA PROCESSING; PHYSICS; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR

The invention relates to the field of artificial intelligence, and discloses a generating capacity-based anomaly analysis method and system, which are used for improving the accuracy of generating capacity anomaly detection of an enterprise. The method comprises the following steps: generating a coal consumption distribution curve according to coal consumption data, and generating a generating capacity conversion distribution curve according to generating capacity conversion data; performing feature extraction on the coal quantity consumption distribution curve and the generating capacity conversion distribution curve to obtain a plurality of coal quantity curve feature points and a plurality of generating capacity curve feature points, and constructing a target feature point set according to the plurality of coal quantity curve feature points and the plurality of generating capacity curve feature points; performing coding mapping on the target feature point set to obtain a target coding feature, and inputtin