Gas leakage source positioning method based on improved artificial fish swarm algorithm

An artificial fish swarm algorithm and gas leakage technology, applied in the direction of calculation, calculation model, artificial life, etc., can solve problems such as prone to oscillation, insufficient precision, and reduced search efficiency, so as to increase the possibility of jumping out of local optimum, Efficient positioning, reducing the effect of the search area

Pending Publication Date: 2021-03-05
CHINA JILIANG UNIV
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AI Technical Summary

Problems solved by technology

The standard artificial fish swarm algorithm uses a fixed field of view and step size. The accuracy of the solution in the later stage of the algor

Method used

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  • Gas leakage source positioning method based on improved artificial fish swarm algorithm
  • Gas leakage source positioning method based on improved artificial fish swarm algorithm
  • Gas leakage source positioning method based on improved artificial fish swarm algorithm

Examples

Experimental program
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Example Embodiment

[0046]DETAILED DESCRIPTION One.

[0047]In the first embodiment, five drones are used to search for gases. Combinefigure 1 The specific implementation steps are as follows:

[0048]Step 1: 5 drones set in the area to be monitored;

[0049]Step 2: Quickly find smoke in the use of divergent strategies;

[0050]Step 3: Determine whether the drone finds smoke feather, if you find smoke feather, perform step 4, otherwise transfers to step 2;

[0051]Step 4: Search for gas leakage from improving artificial fishing algorithms;

[0052]Step 5: Update the position of each drone;

[0053]Step 6: Determine if the gas leak source is positioned successfully, if successful, execute step 7, otherwise transfers to step 4;

[0054]Step 7: Output gas leakage source position.

[0055]In step 4, an improved artificial fish group algorithm based on a curiosity model, such asfigure 2 As shown, including the following steps:

[0056]Step 1: Initialization setting, including population NMax , The initial position of each artificial fis...

Example Embodiment

[0067]DETAILED DESCRIPTION OF THE INVENTION II.

[0068]In this Example 2, a gas leakage concentration field is constructed by MATLAB software, and a standard artificial fish group algorithm is used to search for a leak source.

[0069]Such asimage 3 As shown, since the horizon and step size of the standard artificial fish group algorithm is fixed, the search in the late stage of search cannot meet the solution accuracy problem. Such asFigure 4 As shown, search for leakage of artificial fish group algorithm, in a curious factor α1Under the action, as the search time increases, the field of view and steps gradually decrease, and the search is optimized in the later period of view and the steps to avoid the emergence of oscillating phenomena.

[0070]Such asFigure 5 As shown, the fixed vision and step size of the standard artificial fish group algorithm cause the search area overlap, reducing search efficiency. Such asFigure 6 As shown, the use of the improved artificial fish group algorithm s...

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Abstract

The improved artificial fish swarm algorithm is creatively combined with an unmanned aerial vehicle cluster, and rapid and efficient positioning of a gas leakage source is achieved. A traditional fixed monitoring network method has limitation and is difficult to meet the positioning requirement of an existing positioning gas leakage source, a system with multiple unmanned aerial vehicle clusters has the advantages of maneuverability, flexibility, wide monitoring range and the like, the defects of an existing fixed monitoring station can be overcome by using the system as an environment monitoring platform, and active tracking and positioning of the harmful gas leakage source are facilitated. According to the smoke plume search strategy, an improved artificial fish swarm algorithm is adopted, a curiosity model is introduced on the basis of the standard artificial fish swarm algorithm, the search visual field and the moving step length of the unmanned aerial vehicle can be adjusted in aself-adaptive mode, and algorithm defects caused by the fact that the visual field and the step length are constant values in the standard artificial fish swarm algorithm are avoided.

Description

technical field [0001] The invention belongs to the field of environmental monitoring, and in particular relates to gas leakage positioning technology. Background technique [0002] With the rapid development of industrialization, the problem of urban air pollution is becoming more and more serious. Hazardous gas leakage accidents in chemical industry parks occur from time to time, seriously endangering people's lives. How to quickly and accurately locate the leakage source is the key to realize the targeted treatment of harmful gas leakage accidents in chemical plants. The existing leakage source location technology is based on fixed monitoring stations, vehicle-mounted monitoring stations and wireless sensor networks, and estimates the location of the leakage source based on the location of the monitoring station and the pollutant concentration information. Due to the limitation of ground conditions, the distribution of monitoring stations is often uneven or the source of...

Claims

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Application Information

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IPC IPC(8): G06N3/00G01M3/04
CPCG06N3/006G01M3/04
Inventor 刘振国丁涛孔凡玉
Owner CHINA JILIANG UNIV
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