Quantitative analysis method for operating conditions of wet desulfurization system

Abstract

The invention relates to the field of a direct or distributed digital control system for contaminants, in particular to a work condition quantitative analysis method for wet desulphurization system operation. The work condition quantitative analysis method for wet desulphurization system operation comprises the steps of collecting data; performing data collection, storage and transmission through a work condition front end; and then uploading the data. The method is characterized in that a checking instrument collects front end work condition data, directly collects CEMS (Continuous Emission Monitoring System) data, exchanges data with an enterprise service system, and performs inspection qualitative determination of process work condition data; if process data is abnormal, the quantification is started for checking; theoretical emission data is determined; the checking instrument needs to compare work condition emission opening data with direct collection emission opening data; whether the emission opening data is changed or not in a DCS (Data Communication System) is determined; and qualitative determination and quantitative result uploading is performed by the checking instrument. The method has the advantages that the data is accurate and in time; the method can be applied to operation condition (work condition and process) analysis of a wet desulphurization system in a thermal power plant; and the support is provided for environment protection management.

Description

technical field [0001] The invention relates to the field of direct or distributed digital control systems for pollutants, in particular to a working condition quantitative analysis method for wet desulfurization system operation. Background technique [0002] At present, the research and construction of the automatic monitoring system of pollution sources is still mainly in the stage of "terminal monitoring" of pollution sources. "Terminal monitoring" refers to data collection and monitoring directly and only from the sewage outlets of enterprises. Due to factors such as data collector errors and artificial fraud, "end monitoring" cannot guarantee the accuracy and authenticity of the data, and cannot clearly state the total amount of pollutant discharge. Although some studies have noticed the data accuracy and authenticity of the existing automatic monitoring system of pollution sources and analyzed the reasons, they have not yet proposed a complete and perfect solution. ...

AI Technical Summary

Problems solved by technology

Due to factors such as data collector errors and artificial fraud, "end monitoring" cannot guarantee the accuracy and authenticity of the data, and cannot clearly state the total amount of pollutant discharge

Although some studies have noticed the data accuracy and authenticity of the existing automatic monitoring system for pollution sources and analyzed the reasons, they have not yet proposed a complete solution

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