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A data acquisition point deployment method and system

A data collection point and deployment system technology, applied in the field of data collection point deployment method and system, can solve the problems of insufficient data information to reflect the water quality state, slow convergence speed of particle swarm algorithm, easy to fall into local optimum, etc.

Active Publication Date: 2019-03-08
CHENGDU UNIV OF INFORMATION TECH
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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

Method used

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  • A data acquisition point deployment method and system
  • A data acquisition point deployment method and system
  • A data acquisition point deployment method and system

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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 acquisition point deployment method and system. The method comprises the steps of combining the grid coverage rate of the to-be-detected water area and the scalar fieldreconstruction error of the water quality characteristic non-uniform distribution environment field; and constructing a fitness function, performing optimization processing on the sampling point position set by utilizing a particle swarm optimization algorithm and a gravity search algorithm, determining an optimal solution of the sampling point position set and a fitness value corresponding to theoptimal solution, and deploying data sampling points according to the optimal solution of the sampling point position set. According to the method, the water quality distribution characteristics of the whole water area can be well reconstructed while the maximum coverage monitoring of the water area is carried out, so that the water quality of the whole water environment monitoring area can be well reflected according to the 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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IPC IPC(8): G06Q10/04G06Q50/26G06N3/00
CPCG06N3/006G06Q10/04G06Q50/26G06F30/25G06F17/16G06F30/00G06F2111/10
Inventor 沈艳章洁张榕金耀胡英杰
Owner CHENGDU UNIV OF INFORMATION TECH
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