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Application Research Of Data Fusion Theory In Coal Gas Intelligent Drainage System

Posted on:2010-11-24Degree:MasterType:Thesis
Country:ChinaCandidate:J Y LiFull Text:PDF
GTID:2121360278481294Subject:Detection Technology and Automation
Abstract/Summary:PDF Full Text Request
In view of the phenomenon of the local fan working in the long-term constant speed and the invariable speed, data fusion theory is applied in drainage system of gas and an intelligent drainage system of gas based on data fusion theory is designed for local fan. It can not only save energies but also be easy to prevent the gas accident events.The traditional methods of data fusion have two different categories: the one is data fusion method based on time and the other is data fusion method based on space. The measurement precision is enhanced by using the two methods effectively. Because the time and space are separated, these methods have their limitations. The estimation algorithm based on time-space is used in this paper. In this algorithm, the data that are monitored by the same sensor at the different time are fused to gain the estimated data about the sensor at the different time. Then the data that are fused in time are fused in space. The measurement precision is enhanced.The gas is mainly considered in the traditional intelligent drainage system of gas. The gas is not only considered but also the harm of CO ,the temperature and the dust is considered in this paper. More comprehensive factors of environment are considered in the mine. Firstly, the recursive fusion estimation based on time and adaptive weighted fusion algorithm based on space are used to improve the measurement precision. Then BP network and Matlab simulation are used to predict the speed of the local fan. In the model of Matlab simulation, input variables are data from gas sensors, carbon monoxide sensors, temperature sensors, coal dust sensors. Output variable is data of wind speed . Then fuzzy control algorithm is used, whose input variables are gas density error and gas density error change and output variable is the control voltage of the transducer. The reliability and automation grade of the system are highly raised in virtue of fuzzy control theory and data fusion theory. The intelligence and safety of the local fan gas drainage system are aslo enhanced in virtue of fuzzy control theory and data fusion theory.
Keywords/Search Tags:data fusion, neural network, fuzzy control, DSP
PDF Full Text Request
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