基于數(shù)據(jù)融合技術(shù)的煤礦安全監(jiān)控系統(tǒng)研究
本文選題:數(shù)據(jù)融合 切入點(diǎn):D-S證據(jù)推理 出處:《遼寧工程技術(shù)大學(xué)》2013年碩士論文
【摘要】:現(xiàn)階段,我國(guó)煤炭安全生產(chǎn)形勢(shì)嚴(yán)峻,制約煤炭工業(yè)發(fā)展的突出問(wèn)題之一就是煤礦的安全問(wèn)題,緩解煤炭安全生產(chǎn)的重要方法是加強(qiáng)對(duì)煤礦生產(chǎn)的安全監(jiān)控,對(duì)煤礦安全的科研工作也要進(jìn)一步的研究,基于上述問(wèn)題,本文將數(shù)據(jù)融合技術(shù)融入煤礦安全監(jiān)控系統(tǒng)中,實(shí)現(xiàn)對(duì)煤礦安全監(jiān)控系統(tǒng)的改進(jìn)。 井下瓦斯?jié)舛取⒁谎趸紳舛、溫度、風(fēng)量等因素是影響煤礦安全生產(chǎn)的主要因素,本文采用多傳感器數(shù)據(jù)融合的方法,將現(xiàn)場(chǎng)檢測(cè)的多個(gè)傳感器數(shù)據(jù)信息進(jìn)行融合,采用局部融合和全局融合兩級(jí)融合方法對(duì)煤礦多傳感器數(shù)據(jù)進(jìn)行融合,局部融合是一級(jí)融合,即對(duì)多個(gè)同類傳感器信息進(jìn)行融合;全局融合即二級(jí)融合,采用D-S證據(jù)推理對(duì)不同類傳感器數(shù)據(jù)進(jìn)行融合。通過(guò)數(shù)據(jù)融合得到最終煤礦的災(zāi)害類型,根據(jù)災(zāi)害類型,工作人員采取相應(yīng)的措施避免災(zāi)害的發(fā)生。 本文設(shè)計(jì)了系統(tǒng)的硬件部分,系統(tǒng)硬件主要是智能分站。采用ARM微處理器和51微處理器構(gòu)成雙核處理器,電路包括系統(tǒng)電源電路、對(duì)井下各參數(shù)的采集電路、CAN通信電路等。將采集到的井下參數(shù)經(jīng)過(guò)數(shù)據(jù)融合得到災(zāi)害類型,當(dāng)井下有參數(shù)超標(biāo)時(shí),井下分站立即將危險(xiǎn)信息通過(guò)CAN總線傳到上位機(jī),上位機(jī)對(duì)危險(xiǎn)信息迅速處理并指導(dǎo)井下進(jìn)行相應(yīng)的動(dòng)作,避免危險(xiǎn)的發(fā)生。 系統(tǒng)軟件設(shè)計(jì)部分包括控制器軟件和上位機(jī)監(jiān)控軟件?刂破鬈浖饕O(shè)計(jì)了各個(gè)模塊的工作流程;上位機(jī)軟件采用VB6.0來(lái)設(shè)計(jì),操作人員通過(guò)上位機(jī)監(jiān)控軟件設(shè)定系統(tǒng)參數(shù),,查看瓦斯?jié)舛、溫度等參?shù)以及融合結(jié)果,通過(guò)報(bào)警信息對(duì)井下設(shè)備進(jìn)行控制。
[Abstract]:At the present stage, the situation of coal safety production in our country is severe. One of the outstanding problems restricting the development of coal industry is the safety problem of coal mine. The important method to alleviate the safety production of coal mine is to strengthen the safety monitoring of coal mine production. On the basis of the above problems, this paper integrates the data fusion technology into the coal mine safety monitoring system, and realizes the improvement of the coal mine safety monitoring system. Underground gas concentration, carbon monoxide concentration, temperature, air volume and other factors are the main factors that affect the safety of coal mine production. In this paper, the multi-sensor data fusion method is used to fuse the data information of multiple sensors detected in the field. The method of local fusion and global fusion is used to fuse the multi-sensor data of coal mine. The local fusion is the first level fusion, that is, the fusion of the information of the same kind of sensors, the global fusion is the second level fusion. D-S evidential reasoning is used to fuse different kinds of sensor data. Finally, the disaster type of coal mine is obtained by data fusion. According to the disaster type, the staff take appropriate measures to avoid the disaster. In this paper, the hardware of the system is designed. The hardware of the system is mainly intelligent sub-station. The dual-core processor is composed of ARM microprocessor and 51 microprocessor, and the circuit includes the power circuit of the system. After data fusion, the disaster type is obtained. When the parameters in the mine exceed the standard, the danger information is immediately transmitted to the upper computer by the CAN bus. The upper computer processes the dangerous information quickly and instructs the corresponding action to avoid the danger. The software design of the system includes the controller software and the host computer monitoring software. The controller software mainly designs the work flow of each module. The upper computer software is designed with VB6.0, and the operator sets the system parameters through the upper computer monitoring software. Check gas concentration, temperature and fusion results, through alarm information to control the underground equipment.
【學(xué)位授予單位】:遼寧工程技術(shù)大學(xué)
【學(xué)位級(jí)別】:碩士
【學(xué)位授予年份】:2013
【分類號(hào)】:TD76
【參考文獻(xiàn)】
相關(guān)期刊論文 前10條
1 劉準(zhǔn)釓;程詠梅;潘泉;苗壯;;多傳感器沖突信息的加權(quán)融合算法[J];傳感技術(shù)學(xué)報(bào);2009年03期
2 周邦全;;煤礦安全監(jiān)測(cè)監(jiān)控系統(tǒng)的發(fā)展歷程和趨勢(shì)[J];礦業(yè)安全與環(huán)保;2007年S1期
3 李恒燦;李權(quán)才;;數(shù)據(jù)融合技術(shù)在環(huán)境監(jiān)測(cè)中的應(yīng)用[J];中國(guó)農(nóng)機(jī)化;2011年04期
4 蘇舉端;高春艷;謝殿榮;;煤礦瓦斯監(jiān)測(cè)系統(tǒng)的分析與研究[J];工業(yè)安全與環(huán)保;2009年10期
5 許可;劉建都;史朝輝;;加權(quán)D-S證據(jù)理論在多平臺(tái)數(shù)據(jù)融合中的應(yīng)用[J];航空計(jì)算技術(shù);2011年04期
6 付華;尹麗娜;汪琦;;基于信息優(yōu)化融合的煤礦井下環(huán)境安全監(jiān)測(cè)技術(shù)[J];黑龍江科技學(xué)院學(xué)報(bào);2007年02期
7 鄧奇根;魏建平;;基于網(wǎng)絡(luò)技術(shù)的煤礦安全監(jiān)控系統(tǒng)[J];河南理工大學(xué)學(xué)報(bào)(自然科學(xué)版);2007年03期
8 惠增宏;;基于加權(quán)D-S證據(jù)理論的分布式多傳感器目標(biāo)識(shí)別[J];計(jì)算機(jī)應(yīng)用;2007年01期
9 陳正宇;楊庚;陳蕾;許建;;無(wú)線傳感器網(wǎng)絡(luò)數(shù)據(jù)融合研究綜述[J];計(jì)算機(jī)應(yīng)用研究;2011年05期
10 李琳琳;王緒本;陳熠;高嵩;曹禮剛;;CAN總線在煤礦安全監(jiān)控系統(tǒng)中的應(yīng)用[J];制造業(yè)自動(dòng)化;2010年03期
本文編號(hào):1689415
本文鏈接:http://sikaile.net/kejilunwen/anquangongcheng/1689415.html