【摘要】：針對目前煤礦環(huán)境監(jiān)測系統(tǒng)的現(xiàn)狀，提出了一種基于Zigbee與多傳感器數(shù)據(jù)融合技術(shù)的井下環(huán)境監(jiān)測系統(tǒng)。Zigbee技術(shù)用于構(gòu)建井下無線傳感網(wǎng)絡(luò)，實現(xiàn)井下多個環(huán)境參數(shù)的數(shù)據(jù)采集與無線傳輸。采用多傳感器數(shù)據(jù)融合技術(shù)對采集的數(shù)據(jù)進(jìn)行融合處理，有效提高系統(tǒng)監(jiān)測的可靠性，，為礦井環(huán)境提供更科學(xué)的評估。文章主要包括以下內(nèi)容： 首先，簡單介紹Zigbee技術(shù)，提出基于Zigbee技術(shù)的礦井環(huán)境監(jiān)測系統(tǒng)的總體方案設(shè)計。整個系統(tǒng)由基于無線傳感網(wǎng)絡(luò)的數(shù)據(jù)采集傳輸系統(tǒng)和井上監(jiān)控平臺組成。井上監(jiān)控平臺對整個系統(tǒng)進(jìn)行監(jiān)控，并對井下數(shù)據(jù)采集傳輸系統(tǒng)采集的數(shù)據(jù)進(jìn)行集中存儲、融合處理并給出環(huán)境安全等級評估。井下數(shù)據(jù)采集傳輸系統(tǒng)最主要的部分為Zigbee無線傳感網(wǎng)絡(luò)。無線傳感網(wǎng)絡(luò)采集環(huán)境參數(shù)通過無線傳感網(wǎng)絡(luò)傳輸至Zigbee協(xié)調(diào)器后通過有線方式將井下各區(qū)域數(shù)據(jù)傳輸?shù)骄媳O(jiān)控系統(tǒng)。 其次，根據(jù)系統(tǒng)總體方案中對Zigbee無線傳感網(wǎng)絡(luò)的組網(wǎng)要求，設(shè)計了基于CC2530的通用網(wǎng)絡(luò)節(jié)點的硬件模塊。該網(wǎng)絡(luò)節(jié)點可作為Zigbee協(xié)調(diào)器、路由器及終端設(shè)備。網(wǎng)絡(luò)節(jié)點采用模塊化設(shè)計，包括CC2530主電路設(shè)計、底板設(shè)計和傳感器模塊設(shè)計。底板電路提供系統(tǒng)電源和各種外接端口，傳感器模塊通過底板與主電路連接。整個節(jié)點實現(xiàn)了煤礦瓦斯、CO、風(fēng)速、溫度、粉塵濃度等參數(shù)的數(shù)據(jù)采集和無線傳輸。 再次，根據(jù)本系統(tǒng)的數(shù)據(jù)融合需求，提出了基于模糊貼近度和灰色關(guān)聯(lián)度的兩級數(shù)據(jù)融合模型。一級數(shù)據(jù)融合采用模糊貼近度算法，得到礦井中各環(huán)境參數(shù)的準(zhǔn)確融合值，提取環(huán)境參數(shù)特征向量。二級數(shù)據(jù)融合利用灰色關(guān)聯(lián)度算法對一級數(shù)據(jù)的融合結(jié)果再次進(jìn)行融合，準(zhǔn)確地判定礦井的安全狀況，給出煤礦安全等級決策。 最后，對系統(tǒng)的軟件部分進(jìn)行設(shè)計并進(jìn)行簡單的系統(tǒng)調(diào)試。首先介紹監(jiān)控平臺的軟件設(shè)計，然后給出各個網(wǎng)絡(luò)節(jié)點的軟件設(shè)計。在網(wǎng)絡(luò)節(jié)點的軟件設(shè)計中，介紹了系統(tǒng)的組網(wǎng)過程并給出Zigbee協(xié)調(diào)器、路由器和終端節(jié)點軟件設(shè)計流程圖。在實驗室現(xiàn)有條件下對溫度參數(shù)采集、系統(tǒng)組網(wǎng)和數(shù)據(jù)傳輸、以及數(shù)據(jù)傳輸距離進(jìn)行了簡單測試。
[Abstract]:According to the present situation of coal mine environment monitoring system, a underground environment monitoring system based on Zigbee and multi-sensor data fusion technology. Zigbee technology is used to construct underground wireless sensor network. The data acquisition and wireless transmission of many environmental parameters are realized. Multi-sensor data fusion technology is used to fuse the collected data, which can effectively improve the reliability of system monitoring and provide a more scientific evaluation for mine environment. The main contents of this paper are as follows: firstly, the Zigbee technology is briefly introduced, and the overall scheme of mine environment monitoring system based on Zigbee technology is put forward. The whole system is composed of wireless sensor network based data acquisition and transmission system and well-in-well monitoring platform. The whole system is monitored by the well monitoring platform, and the data collected by the downhole data acquisition and transmission system is stored centrally, and the environmental safety grade is evaluated. The main part of downhole data acquisition and transmission system is Zigbee wireless sensor network. The environmental parameters of wireless sensor network are transmitted to the Zigbee coordinator through the wireless sensor network, and then the data of the downhole regions are transmitted to the well monitoring system by wired way. Secondly, according to the network requirements of Zigbee wireless sensor network in the overall scheme of the system, the hardware module of the general network node based on CC2530 is designed. The network node can act as Zigbee coordinator, router and terminal equipment. The network node adopts modularization design, including CC2530 main circuit design, bottom board design and sensor module design. The backboard circuit provides the system power supply and various external ports, and the sensor module is connected to the main circuit through the backboard. The whole node realizes data acquisition and wireless transmission of coal mine gas CO, wind speed, temperature, dust concentration and other parameters. Thirdly, according to the data fusion requirements of the system, a two-level data fusion model based on fuzzy closeness degree and grey correlation degree is proposed. In the first level data fusion, the fuzzy closeness algorithm is used to obtain the accurate fusion value of each environmental parameter in the mine, and to extract the characteristic vector of the environmental parameter. The second level data fusion uses the grey correlation degree algorithm to fuse the fusion result of the first grade data again, determines the mine safety condition accurately, and gives the coal mine safety grade decision. Finally, the software part of the system is designed and debugged. First, the software design of monitoring platform is introduced, and then the software design of each network node is given. In the software design of network nodes, the network process of the system is introduced, and the flow chart of software design of Zigbee coordinator, router and terminal node is given. The temperature parameter collection, system networking and data transmission, and data transmission distance are simply tested under the existing conditions in the laboratory.
【學(xué)位授予單位】：煙臺大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2014
【分類號】：TD67;TN92

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