Abstract
With the advancement of science and technology and the transformation of development concepts, green economy has gradually become a major direction. Methane leakage will not only pollute the environment, but even the slightest negligence will lead to more harmful industrial safety accidents, which is very detrimental to the development of green economy. Therefore, appropriate measures must be taken to solve the problems it causes. This shows that the real-time monitoring of methane gas is of great significance. This article aims to study the application of ant colony optimization algorithm in the design of laser methane telemetry system. Based on the analysis of the systematic characteristics of ant colony algorithm, the mathematical model of ant colony algorithm and the method of measuring methane gas concentration, a laser methane telemetry system is designed. And finally tested the repeatability and stability of the system. The test results show that the system basically handles a straight line when the methane concentration is 5.05%, with small fluctuations, and good stability, which can meet the actual measurement requirements in the detection.
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Zhang, Z. (2022). Application of Ant Colony Optimization Algorithm in the Design of Laser Methane Telemetry System. In: Sugumaran, V., Sreedevi, A.G., Xu , Z. (eds) Application of Intelligent Systems in Multi-modal Information Analytics. ICMMIA 2022. Lecture Notes on Data Engineering and Communications Technologies, vol 138. Springer, Cham. https://doi.org/10.1007/978-3-031-05484-6_3
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DOI: https://doi.org/10.1007/978-3-031-05484-6_3
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