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Site selection method and system for environmental monitoring station

A technology of environmental monitoring and monitoring stations, applied in the field of environmental monitoring, can solve the problems of large randomness in site selection and inability to accurately reflect environmental pollution, and achieve the effect of simplifying calculations and eliminating randomness

Active Publication Date: 2022-03-01
四川万斯思达科技有限公司 +1
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] Aiming at the defects in the prior art, the present invention provides a site selection method and system for an environmental monitoring site to solve the problem that the site selection of an environmental monitoring site in the prior art is relatively arbitrary and cannot accurately reflect the actual environment in the area Technical aspects of the pollution situation

Method used

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  • Site selection method and system for environmental monitoring station

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Experimental program
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Embodiment 1

[0042] Such as figure 1 As shown, the present invention provides a method for site selection of an environmental monitoring site, comprising the following steps:

[0043] S1. Obtain the site selection points of multiple established environmental monitoring stations, and the relevant factors of the site selection points of these established stations. The relevant factors include various environmental factors;

[0044] S2. Use machine learning to screen relevant factors, obtain the degree of correlation between site selection points of established stations and relevant factors, and then obtain key environmental factors based on the degree of correlation;

[0045] S3. Use the grid to divide the area to be located into multiple sub-areas, and generate multiple grid site selection points by means of machine learning;

[0046] S4. Obtain the key environmental factors of multiple grid site selection points, and obtain the site selection score of each grid site selection point throug...

Embodiment 2

[0084] According to the target location point that the technical scheme of embodiment 1 obtains, it may be encountered in actual conditions that the location point is not easy to arrange environmental monitoring points. at the chimney. In this case, it is necessary to manually correct the target site selection point, and select a location near the target site selection point that is convenient for setting up an environmental monitoring point as the actual site selection point.

[0085] In order to avoid similar problems in the future and make the target site selection point obtained by the target site selection model as feasible as possible in actual engineering, it is further optimized on the basis of Example 1. The technical solution is:

[0086] The target site selection point obtained by the target site selection model and other environmental factors such as terrain factors are used as input; the actual site selection point obtained by manual correction is used as the out...

Embodiment 3

[0091] The present invention also provides a site selection system for environmental monitoring sites using the site selection method used in Embodiment 1 or Embodiment 2. Such as figure 2 As shown, the system includes: an information input unit, a screening unit, an area division unit, and a site selection scoring unit;

[0092] The information input unit is used for inputting information, including a plurality of established site selection points and their respective related factors, and respective environmental factors of a plurality of grid site selection points;

[0093] The screening unit is used to use machine learning to screen relevant factors to obtain the degree of correlation between site selection points and relevant factors; it is also used to obtain key environmental factors based on the degree of correlation;

[0094] The area division unit is used to divide the area to be located, and generate multiple grid site selection points through machine learning;

...

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Abstract

A site selection method for an environmental monitoring station provided by the present invention comprises the following steps: obtaining site site selection points of a plurality of environmental monitoring stations that have been built, and the respective relevant factors of these site site selection points, wherein the relevant factors include multiple environmental factors; use machine learning to screen relevant factors, obtain the degree of correlation between site selection points of established stations and relevant factors, and then obtain key environmental factors based on the degree of correlation; use grids to divide the area to be selected into multiple sub-regions, and generate multiple grid site selection points through machine learning; obtain the key environmental factors of multiple grid site selection points, and obtain the site selection score of each grid site selection point through deep learning ; Set the grid site selection point with the highest site selection score as the target site selection point; the present invention can play a guiding role for environmental monitoring sites; the present invention also provides a site selection system for environmental monitoring sites.

Description

technical field [0001] The invention relates to the technical field of environmental monitoring, in particular to a site selection method and system for an environmental monitoring site. Background technique [0002] With the gradual improvement of national environmental protection awareness, in recent years, the national environmental protection agency has carried out vigorous rectification and management of the ecological environment. In the process of ecological environment governance, the ecological environment needs to be effectively monitored first, so that the governance can have a basis. [0003] The current situation is that at the national level, the site selection of environmental monitoring stations is generally fully demonstrated, such as the site selection of the national control station. At the local level, based on the on-site evaluation of each site to be selected by experts, its operability is low, and the demonstration process is more complicated. Therefo...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06Q10/04G06Q50/26G06N20/00G06N3/04G06N3/08
CPCG06Q10/04G06Q50/26G06N20/00G06N3/08G06N3/044G06N3/045
Inventor 谢国锦谢国宇刘仲阳
Owner 四川万斯思达科技有限公司
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