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Abstract
This paper proposes an improved artificial bee colony algorithm named Weighted Global ABC (WGABC) algorithm, which is designed to improve the convergence speed in the search stage of solution search equation. The new method not only considers the effect of global factors on the convergence speed in the search phase, but also provides the expression of global factor weights. Experiment on benchmark functions proved that the algorithm can improve the convergence speed greatly. We arrive at the gas diffusion concentration based on the theory of CFD and then simulate the gas diffusion model with the influence of buildings based on the algorithm. Simulation verified the effectiveness of the WGABC algorithm in improving the convergence speed in optimal deployment scheme of gas sensors. Finally, it is verified that the optimal deployment method based on WGABC algorithm can improve the monitoring efficiency of sensors greatly as compared with the conventional deployment methods.
Highlights
Swarm intelligence appeared in the 1980s as a new research project, and has aroused the attention of the researchers in many fields
In the chemical industrial park, the gas sensor installed in accordance with the traditional standards may not detect gas leakage efficiently due to the influence of buildings, so it is very necessary to adopt the gas sensor network deployment method designed in consideration of both the gas characteristic and environment characteristic, the method can provide
In the chemical industrial park, the gas sensor installed in accordance with the traditional standards may not detect gas leakage efficiently due to the influence of buildings, so it is very necessary to adopt the gas sensor network deployment method designed in consideration of both the gas characteristic and environment characteristic, the method can provide inspiration and guidance for current layout schemes
Summary
Swarm intelligence appeared in the 1980s as a new research project, and has aroused the attention of the researchers in many fields. We mainly consider wind direction, wind speed, leakage rate, and leakage location It simulates the gas diffusion using CFD tools, samples 50 leakage scenarios, meshes the area, and deploys a node in the center of each grid. To solve the problem above, this paper puts forward a gas sensor optimal deployment method based on the improved artificial bee colony (ABC) algorithm, which combines the gas diffusion model, and considers the influence of buildings into the diffusion model. The section of this paper is to first introduce the artificial colony algorithm, and propose an improved artificial colony algorithm which is called Weighted Global ABC algorithm, the gas diffusion model combined with the influence of buildings, and a new type of gas sensor deployment optimization method using the improved artificial colony algorithm. It is verified through experiments that the scheme can improve the monitoring efficiency significantly as compared with the deployment schemes according to the standards
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