A goaf fire source positioning system and method based on multi-dimensional data fusion

Abstract

The application discloses a goaf fire source positioning system and method based on multi-dimensional data fusion, and the system comprises the following steps: constructing a multi-parameter information acquisition system in a coal mine goaf, collecting multi-dimensional data, including temperature, gas concentration, wireless signal strength and link quality; extracting features from the multi-dimensional data to obtain temperature gradient features, gas concentration distribution features and wireless signal features; performing triangular positioning based on the temperature gradient, diffusion source positioning based on the gas concentration distribution features and RSSI / LQI auxiliary positioning based on the wireless signal features; fusing multi-source positioning results by using a particle filtering algorithm; and simultaneously establishing a dynamic weight model of each data source, and adaptively adjusting the weight according to environmental conditions and data quality, so as to finally realize fire source fusion positioning. The application realizes intelligent integration of multi-source information and improves fire source positioning precision.

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