Method and system for checking monitoring data of water pollution source

Abstract

The invention discloses a method and system for checking the monitoring data of a water pollution source, and the method comprises the steps: obtaining training data from a database, storing pollutantconcentration data in each data table according to different monitoring stations, and carrying out the reduction of the pollutant concentration data in the tables, thereby achieving the reduction ofthe repeated irrelevant attributes; performing the filling of a missing value, the removal of a logical error value and the clearing of a primary abnormal value for the data after reduction, and carrying out the data reduction transformation through z-score transformation, and changing all the attribute values to a preset section; employing a supervised classification method for the training of data to obtain a training model, and finally obtaining to-be-checked data; employing the same method to process the to-be-checked data, and inputting the processed result into a training model for detecting fraudulent anomaly data to obtain a checking result. The system and method solve problems of the low checking efficiency, the checking leakage and the wrong checking of online monitoring data andimprove the data checking efficiency and quality.

Description

technical field [0001] The invention belongs to the field of environmental protection, and more specifically relates to a method and system for reviewing monitoring data of water pollution sources. Background technique [0002] At present, the review process of pollutant data of most environmental protection departments in my country is mostly through manual review. In the vast majority of cases, pollution source monitoring is just a simple statistical summary of data and compilation of reports and reports. Data processing is relatively simple, and there are great limitations in accuracy, objectivity and comprehensiveness, which cannot meet the requirements of scientific supervision. In addition, the shortcomings of the manual review method are that the level of automation is not high, the efficiency is low, and it is easily affected by human subjective factors. People with different experience also have certain differences in the accuracy of pollution source audits, and th...

AI Technical Summary

Problems solved by technology

[0003] The invention provides a method and system for auditing monitoring data of water pollution sources, the purpose of which is to solve the problems of low auditing efficiency, omission and wrong checking of monitoring data (especially during online monitoring), and improve the efficiency and quality of data auditing

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