Material supplier production capacity monitoring and abnormity early warning method based on electricity consumption analysis

• Main Authors: YUAN LI, LIANG CHEN, XIAO SHAOFEI, FANG HONG, ZHANG YOUZHI, BIAN HUAXING, WANG XINNIAN, JING WEI, YANG DIANFEI, YIN WEIJUN
• Format: Patent
• Language: Chinese; English
• Published: 16.08.2019
• 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 belongs to the field of power industry, particularly relates to the field of power industry material supplier management and supervision, and more particularly relates to a material supplier production capacity monitoring and abnormity early warning method based on power consumption analysis. Monthly production capacity monitoring and abnormal early warning are carried out on material suppliers. Power consumption analysis model is established, the historical power consumption of the single sample of the supplier is analyzed; electricity consumption data are separated into trendsand fluctuations through wavelet analysis; abnormal data points in the historical electricity consumption data are mined by using a low-order differential denoising method; Lagrangian interpolation method replacement is carried out on the abnormal data points to obtain a new fluctuation trend; scientific methods such as a neural network algorithm, a re-sampling method and the like are adopted, themonthly electricity consu