Atmospheric fugitive dust pollution baseline removal method based on distributed algorithm

Abstract

The invention relates to an atmospheric fugitive dust pollution baseline removal method based on a distributed algorithm. The method comprises the following steps: fugitive dust concentration sensor nodes are distributed according to the area of a monitoring zone; values of fugitive dust concentration in the monitoring zone are acquired and transmitted to a cloud server; the cloud server receives the sensor data, takes the sensor data as raw data and calculates a fugitive dust pollution baseline of the monitoring zone with a multi-dimensional data fusion algorithm; the baseline in the raw data is removed by means of the fugitive dust pollution baseline of the monitoring zone, and fugitive dust discharge amount corresponding to the environmental pollution baseline in a specific time interval is obtained; the total value of the fugitive dust discharge amount in the same time interval is calculated on the basis of the raw data; the environmental pollution baseline discharge amount is removed on the basis of the total value of the fugitive dust discharge amount, and human factor discharge amount of the monitoring zone is obtained. With adoption of the method, an enterprise is only responsible for self-produced fugitive dust, and the fugitive dust calculation way is more reasonable; the problem that a detection result of single fugitive dust point is one-sided is solved, and the core of the problem can be solved directly by means of real-time remote monitoring.

Description

technical field [0001] The invention relates to an air dust detection technology, in particular to an air dust pollution baseline stripping method based on a distributed algorithm. Background technique [0002] According to the detection data of the Ministry of Environmental Protection, the smog weather in some large and medium-sized cities is relatively serious at present. The main reason is that the increase of industrial and mining enterprises has greatly increased the amount of pollution emissions, the pollution control is not strong enough, and the amount of air pollution emissions exceeds what the environment can accept. capacity, among which dust pollution from industrial and mining enterprises has become one of the important factors of urban air pollution. [0003] The existing dust detection system or equipment can detect the amount of dust in the current range, including the amount of environmental dust and artificial dust, but because the system or equipment only ...

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Problems solved by technology

[0004] In view of the problems that the dust detection system in the prior art cannot distinguish between environmental dust and artificial dust, which leads to the inability to rule out the interference caused by environmental factors to the emission of artificial dust, the problem to be solved by the present invention is to provide a comprehensive and accurate monitoring of dust, objective , Air dust pollution baseline stripping method based on distributed algorithm for fair division of responsibilities

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