Research on data fusion technology for integrated composite sensor for mining

The integrated composite sensor for mining integrates the primary switching circuit or links for detecting the safe environmental parameters of mine and selects a proper microcontroller to realize the time sharing detection of different environmental parameters. The parallel secondary data fusion algorithm is applied. After considering the time and space, the data fusion method combining weighted arithmetic mean and recursive estimation is applied for the single sensor. BP network data fusion algorithm is applied for different sensors of different types at the same detection position. In addition, relevance fusion algorithm is applied to judge the reliability of sensor output and improve the detection accuracy of the integrated composite sensor. Data simulation is performed for data fusion algorithm through tests, which verify the accuracy and feasibility of data fusion algorithm and are of great value for reference.