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A method for judging the validity of pollution source monitoring data by using neural network

A technology of monitoring data and neural network, applied in the field of detection, can solve the problems of low efficiency and large amount of data, and achieve the effect of reducing the scope of audit and improving the efficiency of audit

Active Publication Date: 2017-02-15
BEIJING JINKONG DATA TECH
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0014] The technical problem to be solved by the present invention is to provide a method for detecting the validity of pollution source monitoring data to overcome the problems of large data volume and low efficiency in the prior art

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  • A method for judging the validity of pollution source monitoring data by using neural network
  • A method for judging the validity of pollution source monitoring data by using neural network
  • A method for judging the validity of pollution source monitoring data by using neural network

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Embodiment Construction

[0035] Specific embodiments of the present invention are given below, and the present invention is described in detail in conjunction with the drawings.

[0036] The present invention proposes a method for judging the validity of monitoring data of pollution sources by using neural network. Define the limit value of similarity, further narrow the range of outliers, and improve the efficiency of outlier monitoring.

[0037] figure 1 It is a schematic flow chart of the method of the present invention, as figure 1 As shown, a method for utilizing neural network to assist in determining the validity of pollution source monitoring data provided by the present invention includes:

[0038] Data model establishment step S1: based on a single data set, and using neural network technology, establish a data prediction model, predict the data at the selected time, and obtain the predicted value;

[0039] Similarity measurement step S2: measure the similarity between the predicted value...

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Abstract

The invention discloses a method of assisting in judging the pollution source monitoring data validity by utilizing a neural network. The method comprises a data model building step, a similarity measure step and a data validity detection step, wherein the data model building step is used for building a data prediction model on the basis of a single data set and through adopting a neural network technology, data of a selected moment are predicted, and a prediction value is obtained; the similarity measure step is used for the similarity measure of the prediction value and a practical monitoring numerical value to obtain data similarity and determine an exceptional point range of monitoring data on the basis of a defined similarity threshold value; the data validity detection step is used for the validity detection of the monitoring data within the exceptional point range on the basis of the data similarity to find invalid monitoring data.

Description

technical field [0001] The invention relates to detection technology, in particular to a method for assisting in judging the validity of pollution source monitoring data by using a neural network. Background technique [0002] While my country's economy is developing sustainably, environmental pollution continues to intensify, especially in the water environment and atmospheric environment. The pollutant discharge value of related enterprises exceeds the self-purification capacity of the environment, and adverse changes in environmental quality occur, endangering human health. In such a big environment, the work of environmental governance cannot be delayed, and the state has also intensified its supervision of pollution source enterprises. [0003] In 2013, the Ministry of Environmental Protection of the People's Republic of China issued Document No. 81, which required that the monitoring of the characteristic pollutants discharged by the state-controlled key pollutant moni...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F19/00
Inventor 刘萌杨斌
Owner BEIJING JINKONG DATA TECH
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