【摘要】：針對(duì)煤礦生產(chǎn)作業(yè)環(huán)境和開(kāi)采過(guò)程中的災(zāi)害危險(xiǎn)因素,設(shè)計(jì)了基于Zig Bee技術(shù)與信息融合的煤礦安全監(jiān)測(cè)系統(tǒng)。通過(guò)構(gòu)建基于Zig Bee協(xié)議的無(wú)線傳感器網(wǎng)絡(luò),實(shí)現(xiàn)對(duì)井下環(huán)境數(shù)據(jù)的采集、傳輸。論文根據(jù)系統(tǒng)的數(shù)據(jù)分析的具體需求,提出基于模糊貼近度和灰色關(guān)聯(lián)度的兩級(jí)數(shù)據(jù)融合模型,其中采用模糊貼近度算法作為一級(jí)數(shù)據(jù)融合,提取環(huán)境參數(shù)特征向量。二級(jí)數(shù)據(jù)融合利用灰色關(guān)聯(lián)度算法對(duì)特征向量再次進(jìn)行融合,通過(guò)對(duì)現(xiàn)場(chǎng)數(shù)據(jù)分析,結(jié)果表明該算法可以準(zhǔn)確地判定礦井的安全狀況,給出煤礦安全等級(jí)決策。
[Abstract]:A coal mine safety monitoring system based on Zig Bee technology and information fusion is designed in view of the disaster risk factors in coal mine production environment and mining process. By constructing the wireless sensor network based on Zig Bee protocol, the acquisition and transmission of underground environmental data are realized. According to the demand of data analysis of the system, a two-level data fusion model based on fuzzy closeness degree and grey correlation degree is proposed, in which the fuzzy closeness algorithm is used as the first level data fusion, and the feature vectors of environmental parameters are extracted. The second level data fusion uses grey correlation degree algorithm to fuse the feature vector again. By analyzing the field data, the result shows that the algorithm can accurately judge the mine safety condition and give the coal mine safety grade decision.
【作者單位】： 神東煤炭集團(tuán)布爾臺(tái)煤礦;西安華光信息技術(shù)有限責(zé)任公司;
【分類號(hào)】：TD76

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