基于WSN的智能礦井信息采集和分析系統(tǒng)研究與設(shè)計(jì)
本文關(guān)鍵詞: 煤礦安全 生命體征 姿態(tài)識別 出處:《山東大學(xué)》2013年碩士論文 論文類型:學(xué)位論文
【摘要】:現(xiàn)有煤礦安全系統(tǒng)難以確切了解井下被困礦工的人數(shù)、位置及所處的生命狀態(tài),急需一套輔助救援系統(tǒng),能在事故發(fā)生后迅速確定井下人員的準(zhǔn)確位置,掌握被困人員的生命體征,為人員救助提供可靠依據(jù)。 本論文開發(fā)基于無線傳感網(wǎng)絡(luò)的礦井人員姿態(tài)識別和生命體征監(jiān)測系統(tǒng),可以克服復(fù)雜環(huán)境對地下信息傳輸?shù)挠绊?使得傳輸數(shù)據(jù)穩(wěn)定可靠,發(fā)生事故時(shí)能夠立即從監(jiān)控計(jì)算機(jī)上查詢事故現(xiàn)場的人員位置分布情況、被困人員數(shù)量以及具體位置等信息,為救援工作提供科學(xué)依據(jù),將人員損失減少到最小。 本系統(tǒng)通常由地面中心站設(shè)備、數(shù)據(jù)通訊設(shè)備、監(jiān)控設(shè)備、可穿戴式傳感器系統(tǒng)構(gòu)成,實(shí)現(xiàn)對井下環(huán)境多參數(shù)的連續(xù)監(jiān)測。通過這種實(shí)時(shí)的狀態(tài)采集系統(tǒng),可以準(zhǔn)確區(qū)分穿戴人跑、走路、站立不動等行為姿態(tài)以及人員的基本生理狀態(tài)指標(biāo)。 本系統(tǒng)使用基于ZigBee協(xié)議的無線傳感網(wǎng)絡(luò)系統(tǒng),通過智能節(jié)點(diǎn)對井下人員的基本生理指標(biāo)進(jìn)行采集,并對其行為姿態(tài)進(jìn)行識別,從而實(shí)現(xiàn)井下人員生命體征信息的監(jiān)測?朔藗鞲衅鞴(jié)點(diǎn)數(shù)量少,難以移動,和網(wǎng)絡(luò)擴(kuò)展性差,定位困難等缺點(diǎn)。 基于我國礦井監(jiān)測系統(tǒng)的現(xiàn)狀,建立既能監(jiān)測井下環(huán)境信息又能監(jiān)測人員生命體征和人員行為姿態(tài)信息的智能化可擴(kuò)展監(jiān)控系統(tǒng),通過無線傳感器網(wǎng)絡(luò)對礦井環(huán)境及人員進(jìn)行實(shí)時(shí)監(jiān)測和預(yù)警分析,是現(xiàn)代化礦井急需解決的重要問題。 本課題利用物聯(lián)網(wǎng)技術(shù)、智能傳感與模式識別技術(shù)開發(fā)煤礦井下智能個(gè)人可穿戴安全系統(tǒng)。該系統(tǒng)由三部分構(gòu)成:智能化信息采集節(jié)點(diǎn)、冗余通訊單元以及地面監(jiān)控診斷系統(tǒng)。具體研究內(nèi)容如下: ①生命體征監(jiān)測。 ②基于加速度計(jì)的人體行為姿態(tài)識別。 ③環(huán)境參數(shù)采集與分析。 ④可穿戴系統(tǒng)設(shè)計(jì)。 ⑤基于Mesh搭建具有雙冗余特征的井下通信鏈路。
[Abstract]:It is difficult for the existing coal mine safety system to know exactly the number, location and life state of the trapped miners. A set of auxiliary rescue system is urgently needed, which can quickly determine the exact location of the underground workers after the accident. Grasp the vital signs of trapped persons and provide reliable basis for rescue. In this paper, the attitude recognition and vital sign monitoring system of mine personnel based on wireless sensor network is developed, which can overcome the influence of complex environment on underground information transmission and make the transmission data stable and reliable. In the event of an accident, information such as the location of personnel, the number of persons trapped and the specific location can be immediately inquired from the monitoring computer to provide scientific basis for rescue work and reduce the loss of personnel to the minimum. This system is usually composed of ground central station equipment, data communication equipment, monitoring equipment, wearable sensor system to realize the continuous monitoring of underground environment multi-parameter. It can accurately distinguish the wearing person running, walking, standing immobility and basic physiological state indicators. This system uses the wireless sensor network system based on ZigBee protocol to collect the basic physiological indexes of underground personnel through intelligent nodes and to recognize their behavior posture. In order to realize the monitoring of vital sign information of underground personnel, it overcomes the shortcomings of small number of sensor nodes, difficult to move, poor network expansibility, difficult location and so on. Based on the present situation of mine monitoring system in China, an intelligent and extensible monitoring system is established, which can not only monitor the underground environmental information, but also monitor the vital signs and behavior of personnel. Real time monitoring and early warning analysis of mine environment and personnel through wireless sensor network is an important problem urgently needed to be solved in modern mines. In this paper, the intelligent personal wearable safety system is developed by using the technology of Internet of things, intelligent sensing and pattern recognition technology. The system is composed of three parts: intelligent information collection node, Redundant communication unit and ground monitoring and diagnosis system. The specific research contents are as follows:. 1 vital sign monitoring. 2 recognition of human behavior attitude based on accelerometer. 3. Collection and analysis of environmental parameters. Wearable system design. 5. Build downhole communication link with dual redundancy based on Mesh.
【學(xué)位授予單位】:山東大學(xué)
【學(xué)位級別】:碩士
【學(xué)位授予年份】:2013
【分類號】:TD76
【參考文獻(xiàn)】
相關(guān)期刊論文 前10條
1 林金朝;李國軍;陳志勇;吳寶明;;可穿戴式生命體征監(jiān)護(hù)設(shè)備的研制[J];傳感技術(shù)學(xué)報(bào);2009年05期
2 張繼光;羊彥;李偉;;基于組合微慣性測量元件的人體動作檢測系統(tǒng)設(shè)計(jì)[J];傳感技術(shù)學(xué)報(bào);2010年02期
3 崔璐;蔡覺平;趙博超;王鑫;;基于ZigBee技術(shù)的井下人員定位安全監(jiān)測系統(tǒng)[J];大連理工大學(xué)學(xué)報(bào);2011年S1期
4 穆乃剛;;ZigBee技術(shù)簡介[J];電信技術(shù);2006年03期
5 吳呈瑜;孫運(yùn)強(qiáng);;基于ZigBee的瓦斯無線監(jiān)測系統(tǒng)硬件設(shè)計(jì)[J];今日電子;2008年01期
6 周nv;楊柱石;陳偉根;李劍;馬小敏;;采用ZigBee PRO無線網(wǎng)絡(luò)技術(shù)的導(dǎo)線舞動多點(diǎn)監(jiān)測系統(tǒng)設(shè)計(jì)[J];高電壓技術(shù);2011年08期
7 趙海勇;劉志鏡;張浩;;基于輪廓特征的人體行為識別[J];光電子.激光;2010年10期
8 李鑫;李欣;董靜薇;;基于ZigBee的生命體征監(jiān)測系統(tǒng)[J];信息技術(shù);2009年08期
9 隋永東;戚克明;鄭平;孫維波;;基于ZigBee技術(shù)的井下人機(jī)定位系統(tǒng)在焦家金礦的應(yīng)用[J];黃金;2011年08期
10 王子洪;吳寶明;肖南;閆慶廣;馮正權(quán);何慶華;;基于單一加速度傳感器的士兵狀態(tài)微型監(jiān)測器研制[J];航天醫(yī)學(xué)與醫(yī)學(xué)工程;2010年02期
相關(guān)碩士學(xué)位論文 前6條
1 郁映卓;基于人體運(yùn)動特征的異常行為檢測和姿態(tài)識別[D];西安電子科技大學(xué);2011年
2 朱虔R,
本文編號:1532634
本文鏈接:http://www.sikaile.net/kejilunwen/anquangongcheng/1532634.html