Online classification evaluation method, system and device for slurry quality of desulfurization system

• Main Authors: CAO SHUTAO, MENG LEI, WANG HAIJIE, GU XIAOBING, YU ZHICHENG, YUAN ZHAOWEI, DU MINGSHENG, SI FENGQI, JIANG CHENGYU, LI YUYU, NING XIANG, YANG DAZHOU
• Format: Patent
• Language: Chinese; English
• Published: 13.08.2021
• Subjects: CALCULATING; COMPUTING; COUNTING; DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES; HANDLING RECORD CARRIERS; INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTEDFOR SPECIFIC APPLICATION FIELDS; 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 discloses an online classification evaluation method, system and device for the slurry quality of a desulfurization system. The method comprises the steps: collecting historical operation data of related parameters of a desulfurization system and a corresponding slurry quality evaluation label, obtaining an original data sample D, and carrying out the data cleaning; carrying out steady-state screening according to steady-state judgment conditions, and carrying out standardization pretreatment; carrying out dimension reduction processing on the dimension-standardized sample BD by adopting a local preserving projection (LPP) algorithm, carrying out pattern clustering and identification on the dimension-reduced sample JD by adopting a cohesion k-means clustering method, and analyzing a clustering result to obtain a slurry quality classification evaluation library N; and obtaining a new sample S of related parameters of the desulfurization system, adding the new sample S into the steady-state operat