本文選題：瓦斯監(jiān)測(cè)　切入點(diǎn)：多傳感器信息融合　出處：《江西理工大學(xué)》2013年碩士論文

【摘要】：瓦斯是引起煤礦安全隱患的重大因素，一旦發(fā)生瓦斯爆炸，不僅對(duì)國(guó)家財(cái)產(chǎn)造成損失，還威脅著工人的生命。目前，瓦斯災(zāi)害的煤礦監(jiān)測(cè)系統(tǒng)數(shù)據(jù)處理方式大都比較單一，整體智能化程度不高，對(duì)瓦斯、溫度等監(jiān)測(cè)參數(shù)采用各自傳感器獨(dú)立處理，缺少多傳感器信息的多層次融合。 本文將多傳感器信息融合技術(shù)、云模型和免疫危險(xiǎn)理論相結(jié)合，提出了具有多層次信息融合和智能化決策的煤礦瓦斯監(jiān)測(cè)系統(tǒng)。采用分批估計(jì)理論進(jìn)行數(shù)據(jù)層融合，降低井下沖擊信號(hào)所引起的誤差，提高傳感器檢測(cè)數(shù)據(jù)的準(zhǔn)確性；運(yùn)用遺傳算法產(chǎn)生檢測(cè)器；利用安全狀態(tài)下運(yùn)行數(shù)據(jù)進(jìn)行訓(xùn)練和優(yōu)化，以生成異常檢測(cè)器；運(yùn)用云模型作為危險(xiǎn)感知器，提取危險(xiǎn)程度信號(hào)。免疫危險(xiǎn)理論作為多傳感器信息融合的決策層融合，運(yùn)用免疫危險(xiǎn)理論的協(xié)同刺激特性對(duì)檢測(cè)到的異常信號(hào)和危險(xiǎn)信號(hào)進(jìn)行綜合處理，，使用加權(quán)平均法進(jìn)行全局態(tài)勢(shì)綜合決策。 仿真結(jié)果表明：分批估計(jì)方法可有效降低部分同質(zhì)傳感器受沖擊信號(hào)的影響；使用免疫異常檢測(cè)，以及基于云模型的危險(xiǎn)信號(hào)協(xié)同實(shí)現(xiàn)瓦斯監(jiān)測(cè)綜合決策方法，可有效的提高綜合決策的準(zhǔn)確性。
[Abstract]:Gas is a major factor that causes the hidden danger of coal mine safety. Once gas explosion occurs, it will not only cause loss to national property, but also threaten the lives of workers. At present, most of the data processing methods of coal mine monitoring system for gas disaster are relatively simple. The whole intelligence degree is not high, the gas, temperature and other monitoring parameters are independently processed by their sensors, and the multi-level fusion of multi-sensor information is lacking. In this paper, the multi-sensor information fusion technology, cloud model and immune hazard theory are combined, and a coal mine gas monitoring system with multi-level information fusion and intelligent decision is proposed. Reduce the error caused by the downhole shock signal, improve the accuracy of sensor detection data; use genetic algorithm to generate detector; use safe operation data to train and optimize to generate abnormal detector; The cloud model is used as the hazard sensor to extract the signal of the degree of danger, and the immune hazard theory is used as the decision level fusion of multi-sensor information fusion. Based on the co-stimulation characteristic of immune hazard theory, the detected abnormal signal and danger signal are processed synthetically, and the global situation synthesis decision is made by weighted average method. The simulation results show that the batch estimation method can effectively reduce the impact of shock signals on some homogeneous sensors, and use immune anomaly detection and dangerous signals based on cloud model to achieve a comprehensive decision method for gas monitoring. Can effectively improve the accuracy of comprehensive decision-making.
【學(xué)位授予單位】：江西理工大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2013
【分類號(hào)】：TP274;TD712

【參考文獻(xiàn)】

相關(guān)期刊論文 前10條

1 劉浪;鄧偉;;基于免疫危險(xiǎn)理論的危機(jī)預(yù)警系統(tǒng)設(shè)計(jì)[J];北京理工大學(xué)學(xué)報(bào)(社會(huì)科學(xué)版);2007年04期

2 秦曉倩;;免疫危險(xiǎn)理論在電子郵件分類中的應(yīng)用[J];江西師范大學(xué)學(xué)報(bào)(自然科學(xué)版);2010年02期

3 胡蓉;譚紅斌;馮志宇;李云;;GA-BP網(wǎng)絡(luò)與D-S證據(jù)相結(jié)合的多傳感器信息融合[J];重慶郵電大學(xué)學(xué)報(bào)(自然科學(xué)版);2011年02期

4 高迎慧;王文;薛永存;;基于分批估計(jì)理論與虛擬儀器的瓦斯監(jiān)測(cè)系統(tǒng)[J];傳感器與微系統(tǒng);2007年04期

5 袁曉光;楊萬(wàn)海;史林;;應(yīng)用免疫策略的多傳感器決策融合設(shè)計(jì)[J];電子科技大學(xué)學(xué)報(bào);2009年01期

6 宋法根;宋如順;陳虎;陳思捷;;基于危險(xiǎn)理論的層次化網(wǎng)絡(luò)入侵免疫[J];計(jì)算機(jī)安全;2009年01期

7 張玉寧;樊銀芳;;基于相似度聚類與免疫危險(xiǎn)理論的入侵檢測(cè)方法研究[J];寧夏師范學(xué)院學(xué)報(bào);2008年06期

8 王文斌;劉洪剛;;基于人工免疫的液體火箭發(fā)動(dòng)機(jī)故障檢測(cè)方法研究[J];火箭推進(jìn);2008年02期

9 王健;肖文杰;張俊亮;鄧斌;;一種改進(jìn)的基于云模型的效能評(píng)估方法[J];火力與指揮控制;2010年05期

10 李剛;莊健;侯洪寧;于德弘;;記憶克隆分類及其在齒輪箱故障識(shí)別中的應(yīng)用[J];機(jī)電工程;2009年08期

本文編號(hào)：1696760