Title :
Research on data fusion technology for integrated composite sensor for mining
Author_Institution :
Inst. of Electr. & Control Eng., Xi´´an Univ. of Sci. & Technol., Xi´´an, China
Abstract :
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.
Keywords :
backpropagation; computerised instrumentation; microcontrollers; mining industry; recursive estimation; reliability; sensor fusion; BP network data fusion algorithm; data simulation; integrated composite sensor; microcontroller; mining; primary switching circuit; recursive estimation; relevance fusion algorithm; secondary data fusion algorithm; sensor reliability; time sharing detection; weighted arithmetic mean; Decision support systems; BP network data fusion algorithm; data fusion; integrated composite sensor; the data fusion method combining weighted arithmetic mean and recursive estimation;
Conference_Titel :
Electric Information and Control Engineering (ICEICE), 2011 International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-8036-4
DOI :
10.1109/ICEICE.2011.5777658
