多传感器煤自燃探测系统研究
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摘要
在煤自然氧化过程中不同阶段会产生不同浓度的成分气体,据此设计并实现了多传感器测量系统,选用红外二氧化碳传感器、电化学式一氧化碳传感器、原电池式氧气传感器、红外瓦斯传感器和数字式温湿度传感器作为测量元器件。根据行业标准设计了各传感器的测量电路,保证传感器数据的可靠性;系统采取模块化设计思路,方便后期的升级和扩展;测试结果表明系统满足煤炭相关行业标准要求。该系统对于定量研究煤的自燃,以及煤自燃的预测都有一定的实践价值。
During the natural oxidation of coal,different concentrations of component gases will be generated at different stages,based on this, we design and implement a multi-sensor measurement system. The infrared CO_2 sensor,electrochemical carbon monoxide sensor,primary cell oxygen sensor,infrared gas sensor and digital temperature and humidity sensor were selected as measuring components. Measurement circuits for each sensor are designed according to industry standards to ensure the reliability of sensor data. The system adopts a modular design concept to facilitate later upgrade and expansion. The test results show that the system meets the requirements of coal-related industry standards. The system has certain practical value for the quantitative study of spontaneous combustion of coal and the prediction of coal spontaneous combustion.
During the natural oxidation of coal,different concentrations of component gases will be generated at different stages,based on this, we design and implement a multi-sensor measurement system. The infrared CO_2 sensor,electrochemical carbon monoxide sensor,primary cell oxygen sensor,infrared gas sensor and digital temperature and humidity sensor were selected as measuring components. Measurement circuits for each sensor are designed according to industry standards to ensure the reliability of sensor data. The system adopts a modular design concept to facilitate later upgrade and expansion. The test results show that the system meets the requirements of coal-related industry standards. The system has certain practical value for the quantitative study of spontaneous combustion of coal and the prediction of coal spontaneous combustion.
引文
[1] B. N. SINGH. Safety And Health Hazards in Mines[J]. The IndianMining and Engineering Journal,2002,33(8):74-76.
[2]张海峰.基于KJ101监控系统的瓦斯爆炸预警模型研究[D].西安:西安科技大学,2008.
[3]杨勇,李树刚,郭佳,等.基于极值统计理论的矿井瓦斯浓度预警模型[J].西安科技大学学报,2009,29(6):681-685.
[4]邵良杉,付贵祥.基于数据融合理论的煤矿瓦斯动态预测技术[J].煤炭学报,2008,33(5):551-555.
[5]贺玉凯,王汝林,刘中奇,等.红外一氧化碳检测中干扰因素分析及补偿方法研究[J].矿山机械,2006,34(3):25-27.
[6]李凤文.一氧化碳报警器的工作原理及检定方法研究[J].中国高新技术企业,2010(25):47-48.
[7]关中辉,贺玉凯,刘中奇.煤矿井下一氧化碳气体检测发展与研究[J].矿山机械,2006,34(5):21-24.
[8]姚素薇,郭萌.氧传感器的研究与应用[J].传感器世界,2004(3):1-14.
[9]洪晔,黄岩平,张玉广.氧探测器及氧气测量方法的发展与应用[J].舰船防化,2010(4):35-38.
[10]白泽生.一种二氧化碳气体检测方法[J].传感器与微系统,2007,26(7):105-108.
[11] CHENG Jian,QIAN Jian-sheng,GUO Yi-nan. Least squaressupport vector machine for gas concentration forecasting in coalmine[J]. International Journal of Computer Science and NetworkSecurity,2006(6):125-129.
[12] AQ 6202—2006,煤矿用高低浓度甲烷传感器[S].
[13] MT 704—2008,煤矿用携带型电化学式氧气测定器[S].
[14] MT 703—2008,煤矿用携带型电化学式一氧化碳测定器[S].
[15] MT 381—2007,煤矿用通用温度传感器通用技术条件[S].
[2]张海峰.基于KJ101监控系统的瓦斯爆炸预警模型研究[D].西安:西安科技大学,2008.
[3]杨勇,李树刚,郭佳,等.基于极值统计理论的矿井瓦斯浓度预警模型[J].西安科技大学学报,2009,29(6):681-685.
[4]邵良杉,付贵祥.基于数据融合理论的煤矿瓦斯动态预测技术[J].煤炭学报,2008,33(5):551-555.
[5]贺玉凯,王汝林,刘中奇,等.红外一氧化碳检测中干扰因素分析及补偿方法研究[J].矿山机械,2006,34(3):25-27.
[6]李凤文.一氧化碳报警器的工作原理及检定方法研究[J].中国高新技术企业,2010(25):47-48.
[7]关中辉,贺玉凯,刘中奇.煤矿井下一氧化碳气体检测发展与研究[J].矿山机械,2006,34(5):21-24.
[8]姚素薇,郭萌.氧传感器的研究与应用[J].传感器世界,2004(3):1-14.
[9]洪晔,黄岩平,张玉广.氧探测器及氧气测量方法的发展与应用[J].舰船防化,2010(4):35-38.
[10]白泽生.一种二氧化碳气体检测方法[J].传感器与微系统,2007,26(7):105-108.
[11] CHENG Jian,QIAN Jian-sheng,GUO Yi-nan. Least squaressupport vector machine for gas concentration forecasting in coalmine[J]. International Journal of Computer Science and NetworkSecurity,2006(6):125-129.
[12] AQ 6202—2006,煤矿用高低浓度甲烷传感器[S].
[13] MT 704—2008,煤矿用携带型电化学式氧气测定器[S].
[14] MT 703—2008,煤矿用携带型电化学式一氧化碳测定器[S].
[15] MT 381—2007,煤矿用通用温度传感器通用技术条件[S].