The invention discloses a resin adsorption
waste gas treatment evaluation optimization method based on multi-
source data fusion, and particularly relates to the field of
waste gas treatment.The method comprises the steps of S1, collection area determination, S2,
waste gas monitoring sensor deployment, S3, resin data collection, S4, resin data preprocessing, S5, resin
treatment effect analysis, S6, numerical
treatment effect judgment and S7, real-time optimization. In order to solve the problems that a traditional waste gas
treatment monitoring mode is single, evaluation is not accurate, and dynamic optimization cannot be achieved, a first-level collection area and a second-level collection area are divided, multiple sensors are deployed in a targeted mode to collect multi-
source data, the multi-
source data are preprocessed, and the multi-source data are analyzed and analyzed. The preprocessed data are input into a
mathematical model to evaluate the waste gas
treatment effect, and when an evaluation index exceeds a threshold value, the
system performs early warning and automatically adjusts operation parameters of the adsorption
tower, so that multi-source data fusion monitoring, accurate evaluation and intelligent optimization are realized, the treatment cost is reduced, and the treatment effect is improved.