Application of data fusion algorithm in coal spontaneous combustion experiment system

Computer Engineering and Applications ›› 2015, Vol. 51 ›› Issue (23): 226-229.

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Application of data fusion algorithm in coal spontaneous combustion experiment system

WANG Hua1, WANG Lianhua2, DENG Jun3

1.School of Computer Science, Qufu Normal University, Rizhao, Shandong 276826, China
2.Network Information Center, Qufu Normal University, Rizhao, Shandong 276826, China
3.School of Energy, Xi’an University of Science and Technology, Xi’an 710054, China

Online:2015-12-01 Published:2015-12-14

数据融合算法在煤自然发火实验系统中的应用

王华1，王连华2，邓军3

1.曲阜师范大学计算机科学学院，山东日照 276826
2.曲阜师范大学信息网络中心，山东日照 276826
3.西安科技大学能源学院，西安 710054

Abstract

Abstract: The Coal Spontaneous Combustion （CSC） is one of the main disasters in coal mine. The foundation of the CSC experiment furnace solves the problems of the experiment simulation of CSC process. The precise and credible measurement of temperature in CSC experiment is a most urgent technique problem which should be solved recently. An improved data fusion algorithm has been applied to temperature data fusion of coal spontaneous combustion experiment in this paper. The improved data fusion algorithm improves the precision, strengthens the anti-interference capability of the fusion results.

Key words: multi-sensor, confidence distance, data fusion, coal spontaneous combustion

摘要： 煤自燃是矿井的主要灾害之一，煤自然发火实验台的建造为煤自然发火的实验模拟提供了有效的解决方案;实验中温度数据的准确、可靠测量是目前亟待解决的技术问题。对煤自然发火实验台的温度数据采用改进的一致性数据融合算法进行处理，该方法的应用使融合结果有更高的精度，更强的抗干扰能力。

关键词: 多传感器, 置信距离, 数据融合, 煤自然发火

WANG Hua1, WANG Lianhua2, DENG Jun3. Application of data fusion algorithm in coal spontaneous combustion experiment system[J]. Computer Engineering and Applications, 2015, 51(23): 226-229.

王华1，王连华2，邓军3. 数据融合算法在煤自然发火实验系统中的应用[J]. 计算机工程与应用, 2015, 51(23): 226-229.

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Application of data fusion algorithm in coal spontaneous combustion experiment system

数据融合算法在煤自然发火实验系统中的应用

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