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A method and system for obtaining the shortest path for sampling

A technology of the shortest path and path, applied in data processing applications, forecasting, instruments, etc., to achieve the effect of accelerating the end

Active Publication Date: 2021-04-27
CHINA NAT ENVIRONMENTAL MONITORING CENT
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0007] The purpose of this application is to provide a method and method for obtaining the shortest path for sampling, which solves the problem of the shortest path passing through a designated location

Method used

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  • A method and system for obtaining the shortest path for sampling
  • A method and system for obtaining the shortest path for sampling
  • A method and system for obtaining the shortest path for sampling

Examples

Experimental program
Comparison scheme
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Embodiment 1

[0028] figure 1 is a flow chart of the method for obtaining the sampled shortest path of the present application.

[0029] like figure 1 As shown, obtaining the shortest path for sampling includes the following steps:

[0030] Step 110: Construct a location map based on the designated locations and non-designated locations, wherein the designated locations are all necessary locations in the sampling task, and the non-designated locations are locations other than the designated locations in the environmental monitoring area.

[0031] Let the set of all locations L={A1, A2,...An}, where n is the number of all locations.

[0032] A set of designated locations GL={GA1, GA2,...GAm}∈L, where m is the number of designated locations. Let the starting point SA∈L and the ending point EA∈L.

[0033] The following matrix C indicates whether any two locations Ai and Aj in the set L are directly connected:

[0034]

[0035] in

[0036]

[0037] The distance matrix between any tw...

Embodiment 2

[0089] The present application also provides a shortest path system 300 for sampling, such as image 3 As shown, the system includes a composition module 310 , a pheromone initialization module 320 , an initial path acquisition module 330 , a first judgment module 340 , a final path acquisition module 350 , a shortest path acquisition module 360 ​​and a supplementary path acquisition module 370 .

[0090] The mapping module 310 is used to construct a location map based on designated locations and non-designated locations, wherein the designated locations are all necessary locations in the sampling task, and the non-designated locations are locations other than the designated locations in the environmental monitoring area.

[0091] Let the set of all locations L={A1, A2,...An}, where n is the number of all locations.

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Abstract

The present application provides a method and system for obtaining the shortest path for sampling, the method includes: constructing a location map according to the sampling task; initializing the three pheromones at each location; The supplementary path of each sampled car forms the entire path of each sampled car until the condition for ending the iteration is met; the collection of the entire paths of all sampled cars is used as the final path set; the shortest path is obtained from the final path set. The addition of location pheromones and path pheromones in this application has changed the problem that the traditional ant colony algorithm cannot handle the shortest path through a designated location.

Description

technical field [0001] The present application relates to the technical field of environmental monitoring, in particular to a method and system for obtaining the shortest path for sampling. Background technique [0002] The environmental detection system includes multiple sampling points and multiple detection stations. In actual operation, after the sampling vehicle obtains the sampling task, it needs to start from the location of the sampling vehicle, pass through multiple sampling points in the sampling task, and place multiple sampling points. Samples obtained at each point are sent to multiple testing stations in the mission. The travel route of the sampling vehicle is related to the efficiency of sampling. Therefore, how to obtain the shortest path for sampling is a technical problem that needs to be solved urgently. [0003] In the prior art, the Dijkstra algorithm is used to calculate the shortest path between the sampling vehicle from its location to the final dete...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06Q10/04G06N3/00
Inventor 白雪许秀艳李文攀解鑫陈鑫嵇晓燕石野杨凯孙宗光王正胡晶泊安新国
Owner CHINA NAT ENVIRONMENTAL MONITORING CENT
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