基于多传感器数据融合技术的矿山安全智能预警研究

2010 Second International Conference on Computational Intelligence and Natural Computing Pub Date : 2010-11-22 DOI:10.1109/CINC.2010.5643843

Kainan Liu

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引用次数: 0

摘要

矿井井下灾害智能预警技术的关键是利用多传感器及时高效地采集准确可靠的数据。本文结合分层聚类的数据类型和安全标准的价值，运用分层聚类算法实现了3种分层聚类应用，其中充分利用了多源信息的互补性来屏蔽其冗余性。并应用数据帧定义的编码技术处理由事件触发的数据传输和优化传输，有效提高了偏差数据和应急响应数据的准确性和可靠性，提高了无线传感器网络数据采集和传输的效率。

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Research on the intelligently early warning of the mine safety based on the multi-sensor data fusion technology

the key to the intelligently early warning technology of underground mine hazards is the accurate and reliable data collected with multi-sensor timely and efficiently. In the paper, the hierarchical clustering algorithm is applied to realize the 3 hierarchical clustering application combined with the data type of hierarchical clustering and value of the security standards, in which the complementary of multi-source information is made full use of to shield its redundancy. And the application of coding technology of the definition of data frame deals wtih data transfer and optimization of transmission by events triggered, effectively improveing the accuracy and reliability of deviation data and emergency response data, to improve the efficiency of wireless sensor network data collection and transmission.

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2010 Second International Conference on Computational Intelligence and Natural Computing

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