本文關鍵詞： 煤礦安全 生命體征 姿態(tài)識別　出處：《山東大學》2013年碩士論文　論文類型：學位論文

【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)生事故時能夠立即從監(jiān)控計算機上查詢事故現(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備、數(shù)據(jù)通訊設備、監(jiān)控設備、可穿戴式傳感器系統(tǒng)構成,實現(xiàn)對井下環(huán)境多參數(shù)的連續(xù)監(jiān)測。通過這種實時的狀態(tài)采集系統(tǒng),可以準確區(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。 本系統(tǒng)使用基于ZigBee協(xié)議的無線傳感網(wǎng)絡系統(tǒng),通過智能節(jié)點對井下人員的基本生理指標進行采集,并對其行為姿態(tài)進行識別,從而實現(xiàn)井下人員生命體征信息的監(jiān)測。克服了傳感器節(jié)點數(shù)量少,難以移動,和網(wǎng)絡擴展性差,定位困難等缺點。 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)信息的智能化可擴展監(jiān)控系統(tǒng),通過無線傳感器網(wǎng)絡對礦井環(huán)境及人員進行實時監(jiān)測和預警分析,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、智能傳感與模式識別技術開發(fā)煤礦井下智能個人可穿戴安全系統(tǒng)。該系統(tǒng)由三部分構成：智能化信息采集節(jié)點、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)設計。 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.
【學位授予單位】：山東大學
【學位級別】：碩士
【學位授予年份】：2013
【分類號】：TD76

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