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A method and system for deploying data collection points

A technology of data collection points and sampling points, applied in transmission systems, data processing applications, special data processing applications, etc., can solve the problems of slow convergence speed of particle swarm algorithm, insufficient data information to reflect the state of water quality, easy to fall into local optimum, etc.

Active Publication Date: 2021-04-16
上海申量智能技术有限公司
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Problems solved by technology

This method of uniformly deploying sampling points only considering the coverage rate is only applicable to the case of uniform distribution of water environment characteristics, and the particle swarm algorithm has the disadvantages of slow convergence speed and easy to fall into local optimum. For the case of Gaussian distribution of water environment characteristics , the data information obtained by this method is not enough to reflect the water quality status of the whole area

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  • A method and system for deploying data collection points
  • A method and system for deploying data collection points
  • A method and system for deploying data collection points

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Experimental program
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Embodiment 1

[0069] Such as figure 1 As shown, the data collection point deployment method provided in this embodiment includes:

[0070] Step 101: Determine the grid coverage of the water area to be detected and the scalar field reconstruction error of the non-uniform distribution environment field of water quality characteristics;

[0071] In this embodiment, the following steps are specifically adopted to determine the grid coverage of the water area to be detected and the scalar field reconstruction error of the non-uniform distribution environment field of water quality characteristics.

[0072] The determination of the grid coverage of the water area to be detected specifically includes:

[0073] Discretizing the two-dimensional plane S area in the water area to be monitored into grids with equal unit side lengths; the number of grids is C;

[0074] Randomly deploy D sampling points on the grid; the position of each sampling point is X d =(x d ,y d ),d=1,2,...,D;

[0075] A Boo...

Embodiment 2

[0106] Such as figure 2 As shown, the data collection point deployment system provided in this embodiment includes: a grid coverage and scalar field reconstruction error determination unit 201 , a fitness function construction unit 202 , an optimization unit 203 and a deployment unit 204 .

[0107] The grid coverage and scalar field reconstruction error determination unit 201 is used to determine the grid coverage of the water area to be detected and the scalar field reconstruction error of the non-uniform distribution of water quality characteristics.

[0108] The grid coverage and scalar field reconstruction error determination unit 201 includes a grid coverage determination subunit and a scalar field reconstruction error determination subunit;

[0109] The grid coverage determination subunit specifically includes:

[0110] A grid division module, used to discretize the two-dimensional plane S area in the water area to be monitored into grids with equal unit side lengths; ...

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Abstract

The invention discloses a data collection point deployment method and system, which combines the grid coverage of the water area to be detected and the scalar field reconstruction error of the non-uniformly distributed environmental field of water quality characteristics to construct a fitness function, and then use the particle swarm optimization algorithm and gravity The search algorithm optimizes the set of sampling point locations, determines the optimal solution of the set of sampling point locations and the fitness value corresponding to the optimal solution, and deploys data sampling points according to the optimal solution of the set of sampling point locations. While maximizing the coverage monitoring of the water area, the method can better reconstruct the water quality distribution characteristics of the entire water area, so that the water quality of the entire water environment monitoring area can be better reflected according to its sampling value.

Description

technical field [0001] The invention relates to the field of water quality monitoring, in particular to a method and system for deploying data collection points. Background technique [0002] When deploying sampling points in the water environment field, the uniform deployment of sampling points is usually carried out in a way that considers the monitoring coverage rate, that is, the cost function based on the coverage rate is constructed, and the particle swarm optimization algorithm is used to iteratively search to obtain the optimal solution. Excellent sampling point deployment structure. This method of uniformly deploying sampling points only considering the coverage rate is only applicable to the case of uniform distribution of water environment characteristics, and the particle swarm algorithm has the disadvantages of slow convergence speed and easy to fall into local optimum. For the case of Gaussian distribution of water environment characteristics , the data inform...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): H04L29/08G06Q10/04G06Q50/26G06N3/00
CPCG06N3/006G06Q10/04G06Q50/26G06F30/25G06F17/16G06F30/00G06F2111/10
Inventor 沈艳章洁张榕金耀胡英杰
Owner 上海申量智能技术有限公司
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