A Fusion Positioning Technology Based on Binocular Recognition and Electronic Nose Network Gas Detection

Abstract

The invention discloses a fusion positioning technology based on binocular recognition and electronic nose network gas detection, and belongs to the field of gas leakage source positioning detection. The method includes the following steps that an electronic nose network fuses concentration information of all nodes according to a smoke plume model at first, and the position of a gas source is determined preliminarily; meanwhile, depth information is obtained by corresponding point parallax error values of two images through dual cameras, and the position of the gas source is obtained through a three-dimensional contour of environment; after a center machine receives smell positioning information and visual positioning information, the smell positioning information and the visual positioning information are fused on the basis of given parameters; corresponding error covariance matrixes are established on the basis of partial estimation of a vision sensor and a smell sensor to obtain a total mean square error quadratic function, a weighting factor corresponding to the minimum total mean square error is figured out through a multivariate function extreme value theory, an optimal self-adaptive weight fusion algorithm model is established, and the accurate position information is worked out. The method combines smell positioning and vision positioning, positioning errors of the gas leakage source are effectively reduced, and precision and reliability of gas source positioning are improved.

Description

technical field [0001] The invention belongs to the field of location and detection of gas leakage sources, and relates to a method based on an improved self-adaptive weighted fusion algorithm, which combines olfactory location and visual location to obtain more accurate gas source location information. Background technique [0002] The rapid development of modern industry has increased the types and quantities of harmful gases that people may be exposed to in their work and life. Once a harmful gas leakage accident occurs and cannot be quickly located and treated, it will not only cause great harm to the surrounding environment and equipment, but also pose a serious threat to human safety and health. At present, gas source location methods mainly include gas leakage detection systems based on wireless sensor networks. The research method is mainly based on the signal strength in wireless sensor networks. A large number of sensor nodes distributed in different monitoring are...

AI Technical Summary

Problems solved by technology

And use the wireless communication module to separate data collection and processing, and use processors with stronger data processing capabilities to execute complex algorithms to further solve the problem of large amount of calculation and improve real-time performance

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