气体信号源方位的探测方法研究
|
摘要
在社会经济快速发展过程和构建和谐社会进程中,社会生活中的公共安全问题与经济生产运行中的能源紧缺问题已成为制约经济快速发展和构建和谐社会的瓶颈,日益受到人们的广泛关注。因此,发展新的气体信息获取及其信号处理技术方法来加强对公共安全的监测和预警,以及开发新的清洁生物能源感知探测与生产控制技术来替代日益减少和不可再生的化石能源,将具有十分重要的实际工程应用意义。在以往气体探测技术方法中,对于气体的本征感知属性信息的探测技术研究较多,如气体的温度和浓度等,但随着发展的需要,人们不再满足于现有的气体探测技术,而试图获取气体的空间信息,如空间方位信息。因此,气体空间信息探测技术研究已成为当前气体探测及其智能信号处理的研究内容之一。
在气体信号源方位探测技术的应用研究方面,主要通过对公共安全与生物能源领域的气体信号探测应用研究,提出了包括狭长空间和宽平空间在内的气体信号源方位探测的方法研究需求与问题,阐明了气体信号源方位探测的实际工程应用的意义和目的。如在公共安全领域,利用气体信号源方位探测技术可以实现对火灾火源的快速定位,从而缩短火灾探测报警时间,有利于人员安全疏散;在生物能源领域,利用气体信号源方位探测技术可以实现对生物燃气气源的定位,有利于于生物燃气生产系统的燃气采集、输运的控制操作,以实现规模化连续工业生产。
气体信号源方位探测是气体空间信息探测的一个基本内容。本论文针对实际工程应用的需求和应用特点,结合气体扩散流动的一些基本规律和特征性质,对气体的空间信息探测——气体信号源方位探测的基本方法原理与计算算法等关键技术,以及相关领域的应用研究问题进行了深入研究与探讨。本论文所取得的研究成果包括以下几个方面:
1.在气体扩散理论与模型的研究方面,从实际工程应用背景出发,通过研究与分析包括一般流体、湍流、湍流扩散、连续点源的湍流扩散以及浮力羽流与平面射流等气体扩散的基本规律、理论和应用等,从中得到如下特性:(1)在狭长空间中气体扩散会沿一定方向扩散,且气体浓度分布呈现递减的变化趋势;(2)在宽平的空间中气体扩散,气体浓度梯度会在空间顶部平面上围绕一个中心点沿着顶部水平呈圆形以一定的速率向四周扩散,呈现出以一个中心点为圆心的浓度梯度分布的平面波扩散形式特征。这些研究结论为后续的气体信号源探测方法的理论研究与建立提供了基础性的依据,开辟了新的研究方向和新思路。
2.在狭长空间气体信号源方位探测的方法研究方面,将探测传感器阵列引入气体信号采集过程,将Rough集的数学方法工具引入气体探测信号处理的计算模型,提出了狭长空间气体信号源方位探测的基本原理,给出了一种基于Rough测度的狭长空间气体信号源方位探测算法,该算法通过计算各个传感器阵元上采样信号的Rough测度,来发现信号空间中的极化特征,并结合狭长空间内气体扩散特性,确定气体信号源的方位,仿真计算分析了该方法的适用性和稳健性等问题。
3.在宽平空间气体信号源方位探测的方法研究方面,根据气体在宽平空间内的浓度扩散分布特性,并基于不改变现有的传感器技术的考量,从传感器阵列的信号处理角度出发,提出了基于双线传感器阵列的宽平空间气体信号源方位探测方法,给出了其基于双线阵列信号时延估计的理论计算算法,并通过仿真计算分析了该方法的适用性和稳健性等问题。
本论文的研究成果主要应用于对气体信号源方位的探测识别,从而实现对气源的发现与定位。它一方面可以适用于对方位探测要求不高的应用场景,如狭长空间气体信号源方位探测,另一方面也可以适用于对方位探测要求较高的应用场景,如宽平空间气体信号源方位探测。
In the course of the high development of the society and economy in china with the demand of constructing the harmonious society by people, the public security in the social living and the serious energy lack in the expanding industry and economy are becoming the bottlenecks to that progressing course increasingly. For solving these, the new technologies are urgently investigated to enhance the monitoring and forewarning ability of the public security, and develop the new clean bioenergy instead of the increasingly reduced and non-reproducible fossil energy. In all these processes of observing, apperceiving, detecting and monitoring the application system in the area of the social living and industrial production for the new technologies, the methods and technologies of the gas information acquisition and the gas signal processing are playing the crucial roles. However, in the past, the researches are focused on the information acquisition of root property to the detected gas, e.g. the gas temperature and the gas concentration. With the demand of the technology development increased, it is satisfied by people not only to acquire the root property of the gas information, but also to acquire the space property of the gas information for feedback controlling the application system via mining the obtained information, e.g. the space information of the gas source orientation. Therefore, the detection methods of the gas space information in the various application backgrounds of engineering are becoming an important research direction of the gas detection and the intelligent signal processing currently.
qThe application research on the detection technology of the gas signal source orientation, the research requirements and issues, viz. the researches of the theoretic methods to the detection of the gas signal source orientation in the narrow space and the plane space, are presented firstly by discussing the applications of the gas signal detection in the areas of the public security and the bioenergy. And the application purposes of the detection for the gas signal source orientation are illustrated secondly. For example, in the area of the public security, it is indicated that the fast fire source localization by using the detection technology of the gas signal source orientation is available to realize the optimizing control of people evacuation in fire, via. the application research of the fire detection in nonage, i.e. the fast fire source localization can sharply decrease the alarm time of the fire detection, viz. correspondingly prolong the time of people evacuating, to ensure the safety of people evacuation. And in the area of the bioenergy, it is indicated that the fast biogas source localization by using the detection technology of the gas signal source orientation is available to realize the optimizing control of the production system of the biogas collection for the large and continuous producing via. the application research of the biogas detection, collecting and generating electricity.
The detection of the gas signal source orientation is a basic detecting task of the gas space information. Combining with the basic principles and specialities of the gas diffusion, the key technologies adapted with the demand of practical applications, involving of the methods, theories, algorithms, are lucubrated and discussed in the thesis. And the main researches of the thesis are presented in the followings.
In the first part, i.e. the application research on the gas diffusion theories and models, the characters and specialities of the gas diffusion in the certain space are acquired via. analyzing the gas diffusion models and applications based on the practical engineering, involving the fluid, the turbulence, the turbulent diffusion, the turbulence diffusion with a continuous point-source, plume flow and jet flow. There are two characters researched in the part, the one is that the gas concertration is decreased with time moving when the gas diffusing in a certain direction in the narrow space, and the other is that the gas concertration grads is distributed around with a certain centre point and diffused to the all directions by the type of circle simulating as a planar wave in the plane space. And these studies provide the theoretic supports for establishing the detection methods of the gas signal source orientation in the following and the new investigation direction.
In the second part, i.e. the research on the detection of the gas signal source orientation in the narrow space, the thesis presents the method of the detection of gas signal source orientation in the narrow space, via. applying the detection sensor array in the gas signal sampling, using a mathematic tool based on the rough set theory for the computation. And then an algorithm based on the rough measure for the detection method is given, in which for the goal of estimating the gas signal source orientation, the polarization characteristics of sampling signal space of gas concertration is obtained via. computing the rough measure. Lastly the applicability and robustness of the method are discussed via. the algorithm simulations.
In the third part, i.e. the research on the detection of the gas signal source orientation in the plane space, the thesis studies the gas plane diffusion characters and gas concentration distribution, and presents the method of the detection of gas signal source orientation in the plane space, which is based on dual-line gas sensor array and not to change the current technology of gas sensor. And then an algorithm based on the time delay estimation of the signals from the dual-line array for the detection method is given, and the applicability and robustness of the method are discussed via. the algorithm simulations.
The achievements of the research work in this thesis can be used to detect the gas signal source orientation for the localization and discovery of the gas source, where the detection method of the gas signal source orientation in the narrow space is applied in the scenes of lower requirement for the orientation detection, and the detection method of the gas signal source orientation in the plane space is applied in the scenes of higher requirement for the orientation detection.
在气体信号源方位探测技术的应用研究方面,主要通过对公共安全与生物能源领域的气体信号探测应用研究,提出了包括狭长空间和宽平空间在内的气体信号源方位探测的方法研究需求与问题,阐明了气体信号源方位探测的实际工程应用的意义和目的。如在公共安全领域,利用气体信号源方位探测技术可以实现对火灾火源的快速定位,从而缩短火灾探测报警时间,有利于人员安全疏散;在生物能源领域,利用气体信号源方位探测技术可以实现对生物燃气气源的定位,有利于于生物燃气生产系统的燃气采集、输运的控制操作,以实现规模化连续工业生产。
气体信号源方位探测是气体空间信息探测的一个基本内容。本论文针对实际工程应用的需求和应用特点,结合气体扩散流动的一些基本规律和特征性质,对气体的空间信息探测——气体信号源方位探测的基本方法原理与计算算法等关键技术,以及相关领域的应用研究问题进行了深入研究与探讨。本论文所取得的研究成果包括以下几个方面:
1.在气体扩散理论与模型的研究方面,从实际工程应用背景出发,通过研究与分析包括一般流体、湍流、湍流扩散、连续点源的湍流扩散以及浮力羽流与平面射流等气体扩散的基本规律、理论和应用等,从中得到如下特性:(1)在狭长空间中气体扩散会沿一定方向扩散,且气体浓度分布呈现递减的变化趋势;(2)在宽平的空间中气体扩散,气体浓度梯度会在空间顶部平面上围绕一个中心点沿着顶部水平呈圆形以一定的速率向四周扩散,呈现出以一个中心点为圆心的浓度梯度分布的平面波扩散形式特征。这些研究结论为后续的气体信号源探测方法的理论研究与建立提供了基础性的依据,开辟了新的研究方向和新思路。
2.在狭长空间气体信号源方位探测的方法研究方面,将探测传感器阵列引入气体信号采集过程,将Rough集的数学方法工具引入气体探测信号处理的计算模型,提出了狭长空间气体信号源方位探测的基本原理,给出了一种基于Rough测度的狭长空间气体信号源方位探测算法,该算法通过计算各个传感器阵元上采样信号的Rough测度,来发现信号空间中的极化特征,并结合狭长空间内气体扩散特性,确定气体信号源的方位,仿真计算分析了该方法的适用性和稳健性等问题。
3.在宽平空间气体信号源方位探测的方法研究方面,根据气体在宽平空间内的浓度扩散分布特性,并基于不改变现有的传感器技术的考量,从传感器阵列的信号处理角度出发,提出了基于双线传感器阵列的宽平空间气体信号源方位探测方法,给出了其基于双线阵列信号时延估计的理论计算算法,并通过仿真计算分析了该方法的适用性和稳健性等问题。
本论文的研究成果主要应用于对气体信号源方位的探测识别,从而实现对气源的发现与定位。它一方面可以适用于对方位探测要求不高的应用场景,如狭长空间气体信号源方位探测,另一方面也可以适用于对方位探测要求较高的应用场景,如宽平空间气体信号源方位探测。
In the course of the high development of the society and economy in china with the demand of constructing the harmonious society by people, the public security in the social living and the serious energy lack in the expanding industry and economy are becoming the bottlenecks to that progressing course increasingly. For solving these, the new technologies are urgently investigated to enhance the monitoring and forewarning ability of the public security, and develop the new clean bioenergy instead of the increasingly reduced and non-reproducible fossil energy. In all these processes of observing, apperceiving, detecting and monitoring the application system in the area of the social living and industrial production for the new technologies, the methods and technologies of the gas information acquisition and the gas signal processing are playing the crucial roles. However, in the past, the researches are focused on the information acquisition of root property to the detected gas, e.g. the gas temperature and the gas concentration. With the demand of the technology development increased, it is satisfied by people not only to acquire the root property of the gas information, but also to acquire the space property of the gas information for feedback controlling the application system via mining the obtained information, e.g. the space information of the gas source orientation. Therefore, the detection methods of the gas space information in the various application backgrounds of engineering are becoming an important research direction of the gas detection and the intelligent signal processing currently.
qThe application research on the detection technology of the gas signal source orientation, the research requirements and issues, viz. the researches of the theoretic methods to the detection of the gas signal source orientation in the narrow space and the plane space, are presented firstly by discussing the applications of the gas signal detection in the areas of the public security and the bioenergy. And the application purposes of the detection for the gas signal source orientation are illustrated secondly. For example, in the area of the public security, it is indicated that the fast fire source localization by using the detection technology of the gas signal source orientation is available to realize the optimizing control of people evacuation in fire, via. the application research of the fire detection in nonage, i.e. the fast fire source localization can sharply decrease the alarm time of the fire detection, viz. correspondingly prolong the time of people evacuating, to ensure the safety of people evacuation. And in the area of the bioenergy, it is indicated that the fast biogas source localization by using the detection technology of the gas signal source orientation is available to realize the optimizing control of the production system of the biogas collection for the large and continuous producing via. the application research of the biogas detection, collecting and generating electricity.
The detection of the gas signal source orientation is a basic detecting task of the gas space information. Combining with the basic principles and specialities of the gas diffusion, the key technologies adapted with the demand of practical applications, involving of the methods, theories, algorithms, are lucubrated and discussed in the thesis. And the main researches of the thesis are presented in the followings.
In the first part, i.e. the application research on the gas diffusion theories and models, the characters and specialities of the gas diffusion in the certain space are acquired via. analyzing the gas diffusion models and applications based on the practical engineering, involving the fluid, the turbulence, the turbulent diffusion, the turbulence diffusion with a continuous point-source, plume flow and jet flow. There are two characters researched in the part, the one is that the gas concertration is decreased with time moving when the gas diffusing in a certain direction in the narrow space, and the other is that the gas concertration grads is distributed around with a certain centre point and diffused to the all directions by the type of circle simulating as a planar wave in the plane space. And these studies provide the theoretic supports for establishing the detection methods of the gas signal source orientation in the following and the new investigation direction.
In the second part, i.e. the research on the detection of the gas signal source orientation in the narrow space, the thesis presents the method of the detection of gas signal source orientation in the narrow space, via. applying the detection sensor array in the gas signal sampling, using a mathematic tool based on the rough set theory for the computation. And then an algorithm based on the rough measure for the detection method is given, in which for the goal of estimating the gas signal source orientation, the polarization characteristics of sampling signal space of gas concertration is obtained via. computing the rough measure. Lastly the applicability and robustness of the method are discussed via. the algorithm simulations.
In the third part, i.e. the research on the detection of the gas signal source orientation in the plane space, the thesis studies the gas plane diffusion characters and gas concentration distribution, and presents the method of the detection of gas signal source orientation in the plane space, which is based on dual-line gas sensor array and not to change the current technology of gas sensor. And then an algorithm based on the time delay estimation of the signals from the dual-line array for the detection method is given, and the applicability and robustness of the method are discussed via. the algorithm simulations.
The achievements of the research work in this thesis can be used to detect the gas signal source orientation for the localization and discovery of the gas source, where the detection method of the gas signal source orientation in the narrow space is applied in the scenes of lower requirement for the orientation detection, and the detection method of the gas signal source orientation in the plane space is applied in the scenes of higher requirement for the orientation detection.
引文
[1] Ian F. Akyildiz, Weilian Su, Yogesh Sankarasubramaniam, and Erdal Cayirci. A Survey on Sensor Networks. IEEE Communications Magazine, 2002, 40 (8): 102~114
[2] D. Cullar, D. Estrin, M. Strvastava. Overview of sensor network. Computer, 2004, 37 (8): 41~49
[3] Estrin D, Culler D, Pister K, G Sukhatme. Connecting the Physical World with Pervasive Networks. IEEE Pervasive Computing Archive, 2002, 1 (1): 59~69
[4] Ten emerging technologies that will change the world. Technology Review, 2003, 106 (1): 33~49
[5] Pister K. Smart Dust: Autonomous Sensing and Communication in a Cubic Milimeter, http: //robotics.eecs.berkeley.edu/～pister/ SmartDust
[6]于海滨等.智能无线传感器网络.北京:科学出版社, 2006
[7]王殊,阎毓杰,胡富平,屈晓旭.无线传感器网络的理论及应用.北京:北京航空航天大学出版社, 2007
[8]朱言彬,传感器技术的最新进展和市场机遇,传感器技术,2000,Vol.19,No.3,pp.1-4
[9] Frank W Grasso, Thomas R Consi, David C Mountain, Jelle Atema. Biomimetic robot lobster performs chemo-orientation in turbulence using a pair of spatially separated sensors: Progress and challenges. Robotics and Autonomous Systems, 2000, 30: 115-131
[10] Frank W Grasso. Invertebrate-inspired sensory-motor systems and autonomous, olfactory-guided exploration. Biological Bulletin, 2001, 200: 160-168
[11] Russell R A, Thiel D, Deveza R, Mackay-Sim. A robotic system to locate hazardous chemical leaks. Proceedings of the IEEE International Conference on Robotics and Automation, 1995: 556-561
[12] H Ishida, T Nakamoto, T Moriizumi. Remote sensing of odor source location and concentration distribution using mobile system. Sensors and Actuators B, 1998, 49: 52-57
[13] Ahmed Mohamod Farah, Tom Duckett. Reactive localization of an odour source by a learning mobile robot. Proceedings of the Second Swedish Workshop on Autonomous Robotics, 2002: 29-38
[14] Richards RF, Munk BN, Plumb OA. Fire detection, location and heat release rate throuth inverse problem solution. Part I: theory, and Part II: experiment. Fire Safety J 1997;28:323-378
[15] Berentsen M, Kaiser T. Fire location estimation using temperature sensor arrays. In: AUBE’01 Proceedings of 12th international conference on automatic fire detection, March 26-28, 2001, Gaithersburg, Maryland, USA; 2001. pp. 432-243
[16]吴宗之,高进东.重大危险源辨识与控制.北京:冶金工业出版社, 2001
[17]杨宜勇,李宏梅.对中国矿难的系统分析.发展, 2005, (6): 36-46
[18]田彦红.基层煤矿安全投入欠帐巨大,国内煤矿安全再调查. Available from: URL: http://finance.sina.com.cn/review/observe/20050320/12381444338.shtml
[19]王安民.美国的煤矿安全监察情况.煤矿安全, 1999 (10): 26-28
[20]张维平.突发公共事件社会预警机制的建构基础.西安交通大学学报, 2006(1): 14-18
[21]宋云,王洁.美国化学品应急响应系统及其经验探讨.环境保护, 2003年第8期
[22]金磊.中国21世纪初中期安全减灾规划战略问题研究.电子科技大学学报, 2001(1): 34-40
[23] G Ciccarelli et al. A method of analysis for gas explosions. J. Loss Prevention in the Process Industries, 1999(12): 157-165
[24] Strong, Clyde B. Emergency response and hazardous chemical management: principles and practice [M]. St. Lucie Press, 1999
[25] Jesus S M Ayanz, Nicolas R, Vaino K, Anibal O. Active fire detection for fire emergency management: potential and limitations for the operational use of remote sensing. Nature Hazards, vol. 35, No. 3: 21-30
[26]陈克全编译.国际能源机构对2020年中国能源的展望.国际石油经济,199年第6期
[27]国务院发展研究中心市场经济研究所.中国石油安全对策研究.经济研究与参考, 2001年第25期
[28]王乐编译.日本的能源政策与能源安全.国际石油经济, 2005年第2期
[29] Arlie M Skov. 21世纪中叶的世界能源格局.世界石油工业, 2003年第3期
[30]李文. 2003年世界能源市场综述.国际石油经济, 2004年第7期
[31]唐炼.世界能源供需现状与发展趋势.世界石油经济, 2005年第1期
[32]王殊,窦征.火灾探测及其信号处理.武汉:华中理工大学出版社, 1998
[33]吴龙标,袁宏永.火灾探测与控制工程.合肥:中国科学技术大学出版社, 1999
[34]潘刚.火灾探测报警技术发展趋势.消防科学与技术, 2002, 21(1):29-31
[35]胡君健,谢启源,袁宏永,张永明.复合与智能火灾探测技术展望.消防科学与技术, 2005, 24(2):199-201
[36]霍然,袁宏永.性能化建筑防火分析与设计.安徽科学技术出版社, 2003
[37]夏东海,王殊,朱明.建筑防火设计方法的思想回归与创新.消防科学与技术, 2005, vol. 24, no.5, p 567-569
[38] Wang Shu. A trend duration and gradient detector for automatic fire detection. Fire Safety Journal , 1996 , 27 (3) : 239～248
[39] Pfister G. Multisensor/multicriteria fire detection: a new trend rapidly becomes state of the Art . Fire Technology , 1997 , 33 (2) : 115～139
[40] LI Jian,DONG Wenhui,MEI Zhibin. Evaluating fire detectors using fuzzy analytic hierarchy process. Proceedings of AUBE’04 International Conference Duisberg Germany . 2004, 9. p307- 311. Essen . Germany
[41] Jian Li, Wenhui Dong, Zhibin Mei and Zhuofu Wang. Research on Evaluation of Fire Detection Algorithms. Proceedings of 8th IAFSS Symposium, BEIJING CHINA, 2005, 9
[42]汤正华,王殊.多传感器多判据探测器在火灾探测中的应用.传感器技术, 2001, 20(3) :33– 381
[43]陈南.智能建筑中火灾信息探测算法分析及应用.仪器仪表学报, 2003, 24(4):695-696
[44]张晶,李心广.基于人工智能技术的火灾探测信息融合系统.工业仪表与自动化装置, 2004(4):65-68
[45]李永志,欧盟大力发展生物燃料.全球科技经济瞭望, 2004(12): 42-44
[46]李兵,德国大力发展绿色燃料.全球科技经济瞭望, 2005(7): 60-62
[47]何德功.生物发电一举两得.《中国环境报》, 2004年12月10日
[48]石元春.发展生物质产业.《科技日报》, 2005年3月2日
[49]辛欣.未来全球能源的新亮点—生物质能.国际资料信息, 2005(12): 9-12
[50]吴创之,马隆龙.生物质能现代化利用技术.北京:化学工业出版社, 2003
[51]戎茜,生物能源的研究和利用现状.生物学通报, 2006, 41(12): 24-25
[52]阮文权,邹华,赵明星等.生物能源开启新能源时代之门.生物技术世界,2006(4): 86-88
[53]周凤起.对我国可再生能源发展的战略思考.中国科学院院刊, 2006, 21(4): 287-294
[54] Edward M Z. Gas sensor theory and application. J. Sensor, 1997, 10
[55]潘小青,刘庆成.气体传感器及其发展.东华理工学院学报, 2004(1): 89-93
[56]王建业,纪新明,吴飞蝶,周嘉,黄宜平.光声光谱法探测微量气体.传感技术学报, 2006(8): 1206-1211
[57]气体传感器在气体泄漏事故处置中的应用. Available from: URL: http://www.cechinamag.com/Article/html/2006-01/2006129101828.htm
[58]刘瑾,杨海马.光谱吸收型光纤多气体传感系统.仪表技术与传感器, 2006(2): 29-32
[59]司福祺,刘建国,谢品华,陈小宁,刘文清.相关检测技术在CO气体监测系统中的应用.光电工程, 2006(7): 74-77
[60]孟宗.透射式光纤甲烷气体监测系统的研究.仪器仪表学报, 2005(8): 49-50
[61]黄中华,王俊德.傅立叶变换红外光谱在大气遥感监测中的应用.光谱学与光谱分析, 2002, 22(2): 235-238
[62]朱言彬,传感器技术的最新进展和市场机遇,传感器技术,2000,Vol.19,No.3,pp.1-4
[63]电子市场.气体传感器的研究及发展方向. Available from: URL: http://www.dzsc.com/news/html/2006-9-12/17006.html
[64]环商数据.新型气体传感器的探究方向与发展. Available from: URL: http://www.worldbydata.com/fenx/fenxview-4752~4.htm
[65]谢望.气体传感器技术的现状和发展趋势.仪器仪表用户, 2006(5): 33-35
[66] Lilienthal A, Duckett T. Building gas concentration gridmaps with a mobile robot.Robotics and Autonomous Systems, 2004, 48(1): 3-16
[67] Ishida H, Nakayama G, Nakamoto T, et al. Controlling a gas/odor plume tracking robot based on transient responses of gas sensors. Proceedings of the IEEE International Conference on Sensors, USA, IEEE, 2002: 1665-1670
[68] Lilienthal A, Reimann D, ZellA. Gas source tracing with a mobile robot using an adapted moth strategy. Proceedings of American Mathematical Society 2003, Berlin, New York: Springer, 2003, 150-160
[69] Atema J. Eddy chemotaxis and odor landscapes: exploration of nature with animal sensors. Biological Bulletin, 1996, 191: 129-138
[70] Russell R A. An odor sensing robot draws inspiration from the insect world. Proceedings of the 2nd International Conference on Bioelectromagnetism USA: IEEE, 1998: 49-50
[71]孟庆浩,李飞.主动嗅觉研究现状.机器人, 2006, 28(1): 89-96
[72] Frank Gockel. Fire sensor modeling and simulation. Proceedings of AUBE 01’, Gaithersburg Maryland USA, 2001, 3
[73] Faouzi Derbel. Performance improvement of fire detectors by means of gas sensors and neural networks. Fire Safety Journal , 2004 , 39 (3): 383-398
[74] Daniel T. Gottuk and Lawrence A. McKenna. Spot and Aspirated Laser Smoke Detection in Telecommunications Facilities. Fire Technology, 2002, 38: 147-178
[75] Hagen B, Milke JA. The use of gaseous fire signatures as a means to detect fires. Fire Safety Journal, 2000, 34: 55-67
[76] Letian W, Chenghua Z, Wag J. A new type of intelligent point photoelectric smoke-heat combined fire detector. AUBE’99 Proceedings of the 11th International Conference on Automatic Fire Detection, 1999, 262-271
[77] Stephen M., Olenick, Douglas J., Carpenter. An updated international survey of computer models for fire and smoke. Journal of fire protection engineering, Vol.13, No.3, 2003
[78] T. Flie?, H.-J. Jentschel, K. Lenkheit. A new synthesis method for signals for testing of flame-detection algorithms. Fire Safety Journal, 2002, 37:151~164
[79] Thomas C., Michelle D., William G.. The fire simulator/detector evaluator: design,operation and performance. Proceedings of AUBE 01’, Gaithersburg Maryland USA, 2001, 3
[80] Rose P S, Hart S J, Street T T, Tatem P A, Williams W, Hammond M H, Gottuk D T, Wright M T, Wong J T. Real-time probabilistic neural network performance and optimization for fire detection and nuisance alarm rejection. Proceedings from the 12th international conference on automatic fire detection, March 2001
[81] H Luck, U Sievert. Does an over—all modeling make array sense in automatic fire detection. Proceedings of AUBE 99’, Duisburg Germany, 1999, 3
[82]厉剑,董文辉,梅志斌.火灾探测器工程适应性综合评估方法构想. 2003火灾科学与消防工程国际学术会议论文集,中国消防协会, 2003, 10
[83] B.J.Meacham and R.L.PCuster. Performance-based fire safety engineering: an introduction of basic concepts. Journal of fire protection engineering, Vol.7, No.2, 1995
[84] H.P.Morgan. Moves towards performance-based standards in the U.K. and in the European committee for standardization. International Journal on performance-based fire code, Vol.1, No.3, 1999
[85] G..V.Hadjisophocleous and N.Benichou. Development of performance-based codes, performance criteria and fire safety engineering methods. International Journal on Engineering Performance-based fire code, Vol.2, No.4, 2000, p127-142
[86] SFPE engineering guide to performance– based fire protection: analysis and design of buildings. First Edition, National Fire Protection Association, Society of Fire Protection Engineers, USA, 2000
[87]范维澄,王清安等.火灾学简明教程.合肥:中国科学技术大学出版社,1995.
[88]郑晋丽.隧道火灾模拟和烟气控制.地下工程与隧道. 1999, (2): 38~42
[89]公安部四川消防科研所.地下商业街烟气流动特性试验研究报告. 2000
[90] LI Jian,Dong Wenhui,Mei Zhibin. Evaluating fire detectors using fuzzy analytic hierarchy process. Proceedings of AUBE’04 International Conference Duisberg Germany . 2004, 9. p307- 311
[91] Jian Li, Wenhui Dong, Zhibin Mei and Zhuofu Wang. Research on Evaluation of Fire Detection Algorithms. Proceedings of 8th IAFSS Symposium, BEIJING CHINA,2005, 9
[92] Liekhus KL, Zlochower IA, Cashdollar KL, Djordjevic SM, Loehr CA. Flammability of gas mixtures containing volatile organic compounds and hydrogen. J. Loss Prev Process Ind 2000,13: 377-384
[93] Shebeko YuN, Fan W, Bolodian IA, Navzenya V Yu. An analytical evaluation of flammability limits of gaseous mixtures of combustible-oxidizer-diluent. Fire Safety J., 2002, 37: 549-568
[94] Takahashi A, Urano Y, Tokuhashi K, Kondo S. Effect of vessel size and shape on experimental flammability limits of gases. J Hazardous Mater 2003, A105: 27-37
[95] Lonnermark A, Ingason H. Gas temperatures in heavy goods vehicle fires in tunnels. Fire Safety J. 2005, 40:506-527
[96] Lemaire T. Runehamar tunnel fire tests: radiation, fire spread and back layering. International symposium on catastrophic tunnel fires(CTF), SP Report 2004: 05, 105-116, Sweden, 20-21 November, 2003
[97]夏东海等.火灾场景的假说体系研究.消防科学与技术, 2004, vol. 23, no.3, pp 26-29
[98]夏东海等.消防应急广播系统的性能化设计.消防科学与技术, 2002, vol. 21, no.4, pp121-124
[99]夏东海,王殊,朱明.建筑火灾探测报警的性能化设计电气与智能建筑, 2004年第8期
[100]夏东海,王殊,朱明.建筑火灾探测报警系统性能化设计及火灾场景分析.电气与智能建筑, 2005年第9期
[101]规划新能源未来15年三步走生物质能源将占15%.中国改革报. Available from: URL: http://news.xinhuanet.com/fortune/2006-04/25/content_469786.htm
[102]我国能源产业存在六问题政府应力促新能源发展.中国改革报. Available from: URL: http://news.xinhuanet.com/fortune/2006-04/25/content_469742.htm
[103]欧洲生物燃气应用规模不断扩大. Available from: URL: http://energy.worldenergy.com.cn/2007/0829/content_21973.htm
[104]德将把生物燃气并入城市天然气管网. Available from: URL: http://www.ntem.tj.cn:80/ntem/show.jsp?informationid=200606131012501507&classid=200706041622209192
[105]德国生物燃气巨头欲投资重庆.国际燃气网. Available from: URL: http://www.in-en.com/gas/html/gas-0936093689138822.html
[106]以色列牛粪发电环保节能一举两得.中央电视台. Available from: URL: http://www.in-en.com/power/html/power-200720070810115961.html
[107]姚向君,王革华,田宜水编.国外生物质能的政策与实践.北京:化工工业出版社, 2006
[108]美华裔开创廉价氢气科技利用生物体制干净燃料. Available from: URL: http://www.bionews.com.cn/Chinese/news/content/view/2475/36/
[109]生物制氢技术-微生物电解池. Available from: URL: http://www.greenedia.com/sectors/directory/biopact-blog/67264
[110]美国:微生物生产汽油的研究. Available from: URL: http://www.biobased.org/list2.php?storyid=13557
[111]美国科学家研究用深海微生物生产生物燃料. Available from: URL: http://www.qibebt.ac.cn/Info_www/news/ColumnIndex.asp?ColumnCode=021
[112] W.F.休斯等著,徐燕侯等译.流体动力学.北京:科学出版社, 2002
[113]许贤良编著.流体力学.北京:国防工业出版社, 2006
[114]刘树红,吴玉林.应用流体力学.北京:清华大学出版社, 2006
[115]张兆顺著.湍流.北京:国防工业出版社, 2002
[116]张兆顺等编著.湍流理论与模拟.北京:清华大学出版社, 2005
[117]张兆顺,崔桂香等.走近湍流.力学与实践, 2002, 24(1): 17-25
[118]余常昭著.环境流体力学导论.北京:清华大学出版社, 1992
[119]芩可法等著.燃烧理论与污染控制.北京:机械工业出版社, 2004
[120]刘平,袁林旺等.连续点源烟气空间扩散的模拟.环境科学与技术, 2006, 3
[121]孟志鹏,王淑兰.可爆性气体泄漏扩散时均湍流场的数值模拟.安全与环境学报, 2003, 3
[122]王海蓉,马晓茜. LNG重气连续点源泄漏扩散的数值模拟研究.天然气工业, 2006, 9
[123]郝吉明等主编.大气污染控制工程.北京:高等教育出版社, 2001
[124]曹文俊.空气污染气象学.北京:气象出版社, 2004
[125] W.罗迪(德国).湍浮力射流与羽流.北京:海洋出版社, 1991
[126]余常昭著.紊动射流.北京:高等教育出版社, 1983
[127] Dougal Drysdale. An Introduction to Fire Dynamics [M].Second Edition. John Wiley & Sons, Chichester, England, 1999
[128]邱雁,周心权.水平巷道火灾浮羽流及顶板射流积分模型.辽宁工程技术大学学报(自然科学版), 2003, 22(5):585-588
[129]林松.燃烧规律与图痕.消防科学与技术, 2004, 4
[130]张和平,姜锡权等.中庭建筑天井内火灾烟气运动特性的盐水实验模拟.实验力学, 1999, 14(1): 69-78
[131]孙占辉,杨锐等.大空间中庭及周边房间烟气运动和消防设计.清华大学学报(自然科学版), 2006, 46(9): 1572-1576
[132] Huo R, Chow W K, Jin X H, et al. Experimental studies on natural smoke filling in atrium due to a shop fire. Building and Environment, 2005, 49(9): 1185-1193
[133] Zhang W, Hamer A, et al. Turbulence statistics in a fire room model by large eddy simulation. Fire Safety J. 2002, 37: 721-752
[134] Yang J, Dong G W, Peng Y N, et al. Generalized optimization of polarimetric contrast enhancement. IEEE Trans GRS, 2004, 42(3): 171-174
[135] Waldschmidt C, Kuhnert C, Schulteis S, et al. Compact MIMO-arrays based on polarization-diversity. Antennas and Propagation Society International Symposium, 2003, IEEE, Columbus, USA, June 2003, 2: 499-502
[136] Ian F. Akyildiz, Weilian Su, Yogesh Sankarasubramaniam, and Erdal Cayirci. A survey on sensor networks. IEEE Communications Magazine, August 2002
[137] Q. Liu.λ-Level rough equality and the inference of rough paramodulation. In Proc. Second International Conf. on Rough Sets and Current Trends in Computing, Canada, Oct. 2000, pp. 19-22
[138]李永祯,王雪松,肖顺平,庄钊文.基于极化起伏度的微弱信号检测.信号处理, 2006, 22(1): 100-104
[139] Hairong Q, Yingyue X, Xiaoling W. Mobile-agent-based collaborative processing in sensor networks. Proceedings of the IEEE, Special Issue on Sensor Networks and Applications, Volume: 91, Issue: 8, Pages: 1172–1183, Aug. 2003
[140] Bennett V, Danisch L. Field installation details of a wireless shape-acceletation array system for geotechnical applications. In Proceedings of SPIE, v6529 PART 2, Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2007, 2007, p 652930
[141]张覃铁.电子鼻:传感器阵列、系统及应用研究.华中科技大学博士论文, 2006, 4
[142] Mitzner K D, Sternhagen J. Development of a micromachined hazardous gas ensor array. Sensors and Actuators, B: Chemical, v 93, Aug 1, 2003, p 92-99
[143] Hewish M. Little Brother is Watching you: Unattended Ground Sensors. Defense Review, 2001, 34 (6): 46~52
[144] Vatte A, Munchmeyer W, Arndt D. Gas sensor arrays for monitoring gases in the environment of municipal sewage plants. VDI Berichte, n 1850, 2004, p 127-135
[145] Smith G J, Morgenthaler G W. Space habitat envviromental health risk assessment and management. Proceeings of the lnternational conferece on engineering, construction, and operations in Space, v2, 1996, p1008-1019.
[146] Monekosso D N, Remagnino P. Monitoring behavior with an array of sensor. Computational Intelligence, v 23, n 4, 2007, p 420-438
[147] Borromeo S, Rodriguez S C, Machado F. A reconfigurable, wearable, wireless ECG system. EMBC’07, 2007, p 1659-1662
[148] Yamasaki H, Hiranaka Y. Multi-dimensional intelligent sensing system using sensor array. Sensors and Actuators, A: Physical, v 35, n 1, 1992, p 1-8
[149] Michalopoulos P, Hourdakis J. Review of non-intrusive advanced sensor devices for advanced traffic management systems and recent advances in video detection. Journal of System and Control Engineering, v 215, n 4, 2001, p 345-355
[150] Johnson T J, Brown R L. Distribution structural health monitoring with a smart sensor array. Mechanical Systems and Signal Processing, v 18, n 3, 2004, p 555-572
[151] Sensor Webs. http://sensorwebs.jpl.nasa.gov/
[152] Yin N, Jiang J, Zhang G. Embedded ARM processor FPGA technology in star sensor. Journal of Beijing University of Aeronautics and Astronautics, v31, n 3, 2005, p 341-345
[153] Bonabeau E, Dorigo M, Theraulaz G. Swarm intelligence: from nature to artificialsystems. New York: Oxford Univ. Press, 1999
[154] Kennedy J, Eberhart Russell C. Swarm intelligence. Morgan Kaufmann, 2001
[155]史忠植著.智能科学.北京:清华大学出版社, 2006
[156]段海滨著.蚁群算法原理及其应用.北京:科学出版社, 2005
[157] Baumgartner U, Magele C, Renhart W. Pareto optimality and particle swarm optimization. IEEE Transactions on Magnetics, 2004, 40(2): 1172-1175
[158] Ciuprina C, et al. Use of intelligent-particle swarm optimization in electromagnetics. IEEE Transactions on Magnetics, 2002, 38(2): 1037-1040
[159] Clerc M, Kennedy J. The particle swarm: explosion, stability, and convergence in a multi-dimensional complex space. IEEE Transactions on Evolutionary Computation, 2002, 6(1): 58-73
[160] Coello C, Carlos A. Handling multiple objectives with particle swarm optimization. IEEE Transactions on Evolutionary Computation, 2004, 8(3): 256-279
[161] Eberhart R C, Shi Y. Particle swarm optimization: developments, applications and resources. Proc. Congress on Evolutionary Computation, Soul: IEEE, 2001, 81-86
[162] Mark W, Renata S, Zheng Y F. An approach to multimodal biomedical image registration utilizing particle swarm optimization. IEEE Transactions on Evolutionary Computation, 2004, Particle Swarm Optimization, 8(3): 289-301
[163] Sousa, Tiago, et al. Particle swarm based data mining algorithms for classification tasks. Parallel Computing, 2004, 30(5): 767-783
[164]吴启迪,汪镭著.智能微粒群算法研究及应用.南京:江苏教育出版社, 2005
[165]谢晓锋,张文俊.微粒群算法综述.控制与决策, 2003, 18(2): 129-133
[166]杨燕, Kamel M.微粒群优化算法研究现状及其进展.计算机工程, 2004, 30(21): 3-9
[167]张燕,康琦,汪镭等.微粒群优化算法及其改进形式综述.计算机工程与应用, 2005, 41(2): 1-3
[168] Pawlak Z. Rough sets: theoretical aspects of reasoning about data. Kluwer Academic Publishers, 1991
[169] Pawlak Z. Rough sets and intelligent data analysis. Information Science, 2002, 147, 1-12
[170] Tay Francis E H, Shen L X. Economic and financial predication using rough sets model. European Journal of Operational Research, 2002, 141(3): 641-659
[171] Greco S, Matarazzo B, Slowinski R. Rough approximation by dominance relations. International Journal of Intelligent Systems, 2002, 17(2): 153-171
[172] Wu W Z, Zhang W X, Li H Z. Knowledge acquisition in incomplete fuzzy information systems via rough set approach. Expert Systems, 2003, 20:280-286
[173] Hou T H, Huang C C. Application of fuzzy logic and variable precision rough set approach in a remote monitoring manufacturing process for diagnosis rule induction. Journal of Intelligent manufacturing, 2004, 15(3): 395-408
[174] Mi J S, Leng Y, Wu W Z. An uncertainty measure in partition-based fuzzy rough sets. International Journal of General Systems, 2005, 34(1): 77-90
[175] Shao M W, Zhang W X. Dominance relation and rules in an incomplete ordered information system. International Journal of Intelligent Systems, 2005, 20: 13-27
[176]王国胤编著. Rough集理论与知识获取.西安:西安交通大学出版社, 2001
[177]刘清著. Rough集及Rough推理.北京:科学出版社, 2001
[178]张文修,吴伟志等编著.粗糙集理论与方法.北京:科学出版社, 2001
[179]张文修,仇国芳著.基于粗糙集的不确定决策.北京:清华大学出版社, 2005
[180] Beard AN, Drysdale DD, Bishop SR. Model of fire in a tunnel. Bull Inst Math 1996, 32:139-42
[181] Gockel F. Fire sensor modelling and simulation. Proceedings AUBE’01 conference, National Institute of Standards and Technology, MD, USA, 2001
[182] Faouzi Derbel. Performance improvement of fire detectors by means of gas sensors and neural network. Fire Safety Journal, Elsevier Ltd., 2004, vol.39, no. 3, pp. 383-398
[183] Maegerle R. Fire protection systems for traffic tunnels under test. In Proceedings of 12th International Conference on Automatic Fire Detection AUBE 01’, March 2001, pp. 324–337
[184] Fire dynamics simulator—Technical Reference Guide, NIST, Gaithersburg, USA, 2001
[185] FDS database files. Available from: URL: http://fire.nist.gov/fds/, 2005
[186] Vauquelin O., Megret O.. Smoke experiments in case of fire in a tunnel. Fire Safety Journal, Elsevier Ltd., 2004, Vol. 37, no.5, pp. 525-533
[187] Wu Y, Bakar M Z A. Control of smoke flow in tunnel fires using longitudinal ventilation systems-a study of the critical velocity. Fire Safety Journal, 2000, 35 : 363～390
[188]张祉道.公路隧道的火灾事故通风.现代隧道技术, 2003 , 40 (1) : 34-43
[189]卢平,丛北华,廖光煊,范维澄,厉培德.纵向通风水平隧道火灾烟气流动特性研究.中国工程科学, 2004, 6(10): 59-64
[190] ITA working group 4. Fire and life safety for underground facilities: present status of fire and life safety principles related to underground facilities. Tunnelling and Underground Space Technology, 1996, vol.13, no.3: pp.217-269
[191] Wu Feng, Deng Jun. Experimental study on the fire smoke flow in underground business street. China Safety Science Journal, 2005, Vol.15, No.12: pp. 60-65
[192] Vauquelin O., Megret O.. Smoke experiments in case of fire in a tunnel. Fire Safety J., 2002, Vol. 37(5): pp. 525-533
[193]张贤达,保铮.通信信号处理.北京:国防工业出版社, 2000
[194]张贤达.现代信号处理.北京:清华大学出版社, 2002
[195] Krim H, Viberg M. Two decades of array signal processing research. IEEE Signal Processing Magazine, 1996, 13(4): 67-94
[196] Haykin S. Array signal processing. Prentice-Hall, Englewood Cliffs, NJ. 1995
[197] Meng Y, Stoica P, Wong K M. Estimation of the direction of arrival of spatially dispersed signals in array processing. IEEE Proc-F, 1996, 43(1): 1-9
[198] Trump T, Ottersten B. Estimation of nominal direction of arrival and angular spread using an array of sensors. Signal Processing, 1996, 50(1): 57-69
[199]王永良等著.空间谱估计理论与算法.北京:清华大学出版社, 2004
[200] Delichatsios MA. Smoke yields from turbulent buoyant jet flames. Fire Safety J., 1993, 20: 299-311
[201] Puri R, Santoro RJ, Smyth KC. The oxidation of soot and carbon monoxide in hydrocarbon diffusion flames. Combust Flame, 1994, 97:125-144
[202] Shu Wang, Martin Berentsen, Thomas Kaiser. Signal processing algorithms for firelocalization using temperature sensor arrays. Fire Safety J., 2005, 40: 689-697
[203] Puri R, Santoro RJ, Smyth KC. Erratum. The oxidation of soot and carbon monoxide in hydrocarbon diffusion flames. Combust Flame, 1995, 102: 226-238
[204] Tien CL, Lee KY, Stretton AJ. Radiation Heat Transfer [M]. In: SFPE handbook of fire protection engineering, 2nd ed. Quincy, MA: National Fire Protection Association, 1995
[205] Reilly PTA, Gieray RA, Whitten WB, Ramsey JM. Fullerene evolution in flame-generated soot. J. Am Chem Soc, 2000,122:11596-11601
[206] Markstein GH. Radiant emission and smoke points for laminar diffusion flames of fuel mixtures. In Proc Combust Inst. 1986; 21:1107-1114
[207] Orloff L, De Ris J, Delichatsios MA. Radiation from buoyant turbulent diffusion flames. Combust Sci Tech., 1992, 84:177-186
[208] Liu F, Guo H, Smallwood GJ, Gulder OL. Numerical modelling of soot formation and oxidation in laminar coflow non-smoking and smoking ethylene diffusion flames. Combust Theory Modelling, 2003, 7: 301-315
[209] Christopher W. Lautenberger, John L. de Ris, Nicholas A. Dembsey, Jonathan R. Barnett, Howard R. Baum. A simplified model for soot formation and oxidation in CFD simulation of non-premixed hydrocarbon flames. Fire Safety J., 2005, 40: 141-176
[210] Feuillet J P, Allensworth W S. Nonambiguous beamforming for a high resolution twin-line array. J. Acoust. Soc. Am., 1995, 97(5):32-92
[211] Schurman I W. Reverberation rejection with a dual-line array. IEEE J. Oceanic Eng., 1996, 21(2):193-204
[212]李启虎.用双线列阵区分左右舷目标的延时估计方法及其实现.声学学报, 2006, 31(6): 485-487
[213]朱明,王殊.微弱气体浓度检测的弛豫平滑处理算法.应用科学学报,已被录用
[214]鄢舒,王殊.多原子分子气体中声波弛豫衰减谱的重建算法.物理学报,已被录用
[215] G.. C. Carter. Coherence and Time Delay Estimation. Proceeding of the IEEE. 1987. Vol.75 No.2:236～255
[216]何友等著.多传感器信息融合及应用.北京:清华大学出版社, 2000
[217] Thomas Kaiser. Fire Detection with Temperature Sensor Arrays. IEEE Carnahan Conference proceedings. 2000. 262～268
[2] D. Cullar, D. Estrin, M. Strvastava. Overview of sensor network. Computer, 2004, 37 (8): 41~49
[3] Estrin D, Culler D, Pister K, G Sukhatme. Connecting the Physical World with Pervasive Networks. IEEE Pervasive Computing Archive, 2002, 1 (1): 59~69
[4] Ten emerging technologies that will change the world. Technology Review, 2003, 106 (1): 33~49
[5] Pister K. Smart Dust: Autonomous Sensing and Communication in a Cubic Milimeter, http: //robotics.eecs.berkeley.edu/～pister/ SmartDust
[6]于海滨等.智能无线传感器网络.北京:科学出版社, 2006
[7]王殊,阎毓杰,胡富平,屈晓旭.无线传感器网络的理论及应用.北京:北京航空航天大学出版社, 2007
[8]朱言彬,传感器技术的最新进展和市场机遇,传感器技术,2000,Vol.19,No.3,pp.1-4
[9] Frank W Grasso, Thomas R Consi, David C Mountain, Jelle Atema. Biomimetic robot lobster performs chemo-orientation in turbulence using a pair of spatially separated sensors: Progress and challenges. Robotics and Autonomous Systems, 2000, 30: 115-131
[10] Frank W Grasso. Invertebrate-inspired sensory-motor systems and autonomous, olfactory-guided exploration. Biological Bulletin, 2001, 200: 160-168
[11] Russell R A, Thiel D, Deveza R, Mackay-Sim. A robotic system to locate hazardous chemical leaks. Proceedings of the IEEE International Conference on Robotics and Automation, 1995: 556-561
[12] H Ishida, T Nakamoto, T Moriizumi. Remote sensing of odor source location and concentration distribution using mobile system. Sensors and Actuators B, 1998, 49: 52-57
[13] Ahmed Mohamod Farah, Tom Duckett. Reactive localization of an odour source by a learning mobile robot. Proceedings of the Second Swedish Workshop on Autonomous Robotics, 2002: 29-38
[14] Richards RF, Munk BN, Plumb OA. Fire detection, location and heat release rate throuth inverse problem solution. Part I: theory, and Part II: experiment. Fire Safety J 1997;28:323-378
[15] Berentsen M, Kaiser T. Fire location estimation using temperature sensor arrays. In: AUBE’01 Proceedings of 12th international conference on automatic fire detection, March 26-28, 2001, Gaithersburg, Maryland, USA; 2001. pp. 432-243
[16]吴宗之,高进东.重大危险源辨识与控制.北京:冶金工业出版社, 2001
[17]杨宜勇,李宏梅.对中国矿难的系统分析.发展, 2005, (6): 36-46
[18]田彦红.基层煤矿安全投入欠帐巨大,国内煤矿安全再调查. Available from: URL: http://finance.sina.com.cn/review/observe/20050320/12381444338.shtml
[19]王安民.美国的煤矿安全监察情况.煤矿安全, 1999 (10): 26-28
[20]张维平.突发公共事件社会预警机制的建构基础.西安交通大学学报, 2006(1): 14-18
[21]宋云,王洁.美国化学品应急响应系统及其经验探讨.环境保护, 2003年第8期
[22]金磊.中国21世纪初中期安全减灾规划战略问题研究.电子科技大学学报, 2001(1): 34-40
[23] G Ciccarelli et al. A method of analysis for gas explosions. J. Loss Prevention in the Process Industries, 1999(12): 157-165
[24] Strong, Clyde B. Emergency response and hazardous chemical management: principles and practice [M]. St. Lucie Press, 1999
[25] Jesus S M Ayanz, Nicolas R, Vaino K, Anibal O. Active fire detection for fire emergency management: potential and limitations for the operational use of remote sensing. Nature Hazards, vol. 35, No. 3: 21-30
[26]陈克全编译.国际能源机构对2020年中国能源的展望.国际石油经济,199年第6期
[27]国务院发展研究中心市场经济研究所.中国石油安全对策研究.经济研究与参考, 2001年第25期
[28]王乐编译.日本的能源政策与能源安全.国际石油经济, 2005年第2期
[29] Arlie M Skov. 21世纪中叶的世界能源格局.世界石油工业, 2003年第3期
[30]李文. 2003年世界能源市场综述.国际石油经济, 2004年第7期
[31]唐炼.世界能源供需现状与发展趋势.世界石油经济, 2005年第1期
[32]王殊,窦征.火灾探测及其信号处理.武汉:华中理工大学出版社, 1998
[33]吴龙标,袁宏永.火灾探测与控制工程.合肥:中国科学技术大学出版社, 1999
[34]潘刚.火灾探测报警技术发展趋势.消防科学与技术, 2002, 21(1):29-31
[35]胡君健,谢启源,袁宏永,张永明.复合与智能火灾探测技术展望.消防科学与技术, 2005, 24(2):199-201
[36]霍然,袁宏永.性能化建筑防火分析与设计.安徽科学技术出版社, 2003
[37]夏东海,王殊,朱明.建筑防火设计方法的思想回归与创新.消防科学与技术, 2005, vol. 24, no.5, p 567-569
[38] Wang Shu. A trend duration and gradient detector for automatic fire detection. Fire Safety Journal , 1996 , 27 (3) : 239～248
[39] Pfister G. Multisensor/multicriteria fire detection: a new trend rapidly becomes state of the Art . Fire Technology , 1997 , 33 (2) : 115～139
[40] LI Jian,DONG Wenhui,MEI Zhibin. Evaluating fire detectors using fuzzy analytic hierarchy process. Proceedings of AUBE’04 International Conference Duisberg Germany . 2004, 9. p307- 311. Essen . Germany
[41] Jian Li, Wenhui Dong, Zhibin Mei and Zhuofu Wang. Research on Evaluation of Fire Detection Algorithms. Proceedings of 8th IAFSS Symposium, BEIJING CHINA, 2005, 9
[42]汤正华,王殊.多传感器多判据探测器在火灾探测中的应用.传感器技术, 2001, 20(3) :33– 381
[43]陈南.智能建筑中火灾信息探测算法分析及应用.仪器仪表学报, 2003, 24(4):695-696
[44]张晶,李心广.基于人工智能技术的火灾探测信息融合系统.工业仪表与自动化装置, 2004(4):65-68
[45]李永志,欧盟大力发展生物燃料.全球科技经济瞭望, 2004(12): 42-44
[46]李兵,德国大力发展绿色燃料.全球科技经济瞭望, 2005(7): 60-62
[47]何德功.生物发电一举两得.《中国环境报》, 2004年12月10日
[48]石元春.发展生物质产业.《科技日报》, 2005年3月2日
[49]辛欣.未来全球能源的新亮点—生物质能.国际资料信息, 2005(12): 9-12
[50]吴创之,马隆龙.生物质能现代化利用技术.北京:化学工业出版社, 2003
[51]戎茜,生物能源的研究和利用现状.生物学通报, 2006, 41(12): 24-25
[52]阮文权,邹华,赵明星等.生物能源开启新能源时代之门.生物技术世界,2006(4): 86-88
[53]周凤起.对我国可再生能源发展的战略思考.中国科学院院刊, 2006, 21(4): 287-294
[54] Edward M Z. Gas sensor theory and application. J. Sensor, 1997, 10
[55]潘小青,刘庆成.气体传感器及其发展.东华理工学院学报, 2004(1): 89-93
[56]王建业,纪新明,吴飞蝶,周嘉,黄宜平.光声光谱法探测微量气体.传感技术学报, 2006(8): 1206-1211
[57]气体传感器在气体泄漏事故处置中的应用. Available from: URL: http://www.cechinamag.com/Article/html/2006-01/2006129101828.htm
[58]刘瑾,杨海马.光谱吸收型光纤多气体传感系统.仪表技术与传感器, 2006(2): 29-32
[59]司福祺,刘建国,谢品华,陈小宁,刘文清.相关检测技术在CO气体监测系统中的应用.光电工程, 2006(7): 74-77
[60]孟宗.透射式光纤甲烷气体监测系统的研究.仪器仪表学报, 2005(8): 49-50
[61]黄中华,王俊德.傅立叶变换红外光谱在大气遥感监测中的应用.光谱学与光谱分析, 2002, 22(2): 235-238
[62]朱言彬,传感器技术的最新进展和市场机遇,传感器技术,2000,Vol.19,No.3,pp.1-4
[63]电子市场.气体传感器的研究及发展方向. Available from: URL: http://www.dzsc.com/news/html/2006-9-12/17006.html
[64]环商数据.新型气体传感器的探究方向与发展. Available from: URL: http://www.worldbydata.com/fenx/fenxview-4752~4.htm
[65]谢望.气体传感器技术的现状和发展趋势.仪器仪表用户, 2006(5): 33-35
[66] Lilienthal A, Duckett T. Building gas concentration gridmaps with a mobile robot.Robotics and Autonomous Systems, 2004, 48(1): 3-16
[67] Ishida H, Nakayama G, Nakamoto T, et al. Controlling a gas/odor plume tracking robot based on transient responses of gas sensors. Proceedings of the IEEE International Conference on Sensors, USA, IEEE, 2002: 1665-1670
[68] Lilienthal A, Reimann D, ZellA. Gas source tracing with a mobile robot using an adapted moth strategy. Proceedings of American Mathematical Society 2003, Berlin, New York: Springer, 2003, 150-160
[69] Atema J. Eddy chemotaxis and odor landscapes: exploration of nature with animal sensors. Biological Bulletin, 1996, 191: 129-138
[70] Russell R A. An odor sensing robot draws inspiration from the insect world. Proceedings of the 2nd International Conference on Bioelectromagnetism USA: IEEE, 1998: 49-50
[71]孟庆浩,李飞.主动嗅觉研究现状.机器人, 2006, 28(1): 89-96
[72] Frank Gockel. Fire sensor modeling and simulation. Proceedings of AUBE 01’, Gaithersburg Maryland USA, 2001, 3
[73] Faouzi Derbel. Performance improvement of fire detectors by means of gas sensors and neural networks. Fire Safety Journal , 2004 , 39 (3): 383-398
[74] Daniel T. Gottuk and Lawrence A. McKenna. Spot and Aspirated Laser Smoke Detection in Telecommunications Facilities. Fire Technology, 2002, 38: 147-178
[75] Hagen B, Milke JA. The use of gaseous fire signatures as a means to detect fires. Fire Safety Journal, 2000, 34: 55-67
[76] Letian W, Chenghua Z, Wag J. A new type of intelligent point photoelectric smoke-heat combined fire detector. AUBE’99 Proceedings of the 11th International Conference on Automatic Fire Detection, 1999, 262-271
[77] Stephen M., Olenick, Douglas J., Carpenter. An updated international survey of computer models for fire and smoke. Journal of fire protection engineering, Vol.13, No.3, 2003
[78] T. Flie?, H.-J. Jentschel, K. Lenkheit. A new synthesis method for signals for testing of flame-detection algorithms. Fire Safety Journal, 2002, 37:151~164
[79] Thomas C., Michelle D., William G.. The fire simulator/detector evaluator: design,operation and performance. Proceedings of AUBE 01’, Gaithersburg Maryland USA, 2001, 3
[80] Rose P S, Hart S J, Street T T, Tatem P A, Williams W, Hammond M H, Gottuk D T, Wright M T, Wong J T. Real-time probabilistic neural network performance and optimization for fire detection and nuisance alarm rejection. Proceedings from the 12th international conference on automatic fire detection, March 2001
[81] H Luck, U Sievert. Does an over—all modeling make array sense in automatic fire detection. Proceedings of AUBE 99’, Duisburg Germany, 1999, 3
[82]厉剑,董文辉,梅志斌.火灾探测器工程适应性综合评估方法构想. 2003火灾科学与消防工程国际学术会议论文集,中国消防协会, 2003, 10
[83] B.J.Meacham and R.L.PCuster. Performance-based fire safety engineering: an introduction of basic concepts. Journal of fire protection engineering, Vol.7, No.2, 1995
[84] H.P.Morgan. Moves towards performance-based standards in the U.K. and in the European committee for standardization. International Journal on performance-based fire code, Vol.1, No.3, 1999
[85] G..V.Hadjisophocleous and N.Benichou. Development of performance-based codes, performance criteria and fire safety engineering methods. International Journal on Engineering Performance-based fire code, Vol.2, No.4, 2000, p127-142
[86] SFPE engineering guide to performance– based fire protection: analysis and design of buildings. First Edition, National Fire Protection Association, Society of Fire Protection Engineers, USA, 2000
[87]范维澄,王清安等.火灾学简明教程.合肥:中国科学技术大学出版社,1995.
[88]郑晋丽.隧道火灾模拟和烟气控制.地下工程与隧道. 1999, (2): 38~42
[89]公安部四川消防科研所.地下商业街烟气流动特性试验研究报告. 2000
[90] LI Jian,Dong Wenhui,Mei Zhibin. Evaluating fire detectors using fuzzy analytic hierarchy process. Proceedings of AUBE’04 International Conference Duisberg Germany . 2004, 9. p307- 311
[91] Jian Li, Wenhui Dong, Zhibin Mei and Zhuofu Wang. Research on Evaluation of Fire Detection Algorithms. Proceedings of 8th IAFSS Symposium, BEIJING CHINA,2005, 9
[92] Liekhus KL, Zlochower IA, Cashdollar KL, Djordjevic SM, Loehr CA. Flammability of gas mixtures containing volatile organic compounds and hydrogen. J. Loss Prev Process Ind 2000,13: 377-384
[93] Shebeko YuN, Fan W, Bolodian IA, Navzenya V Yu. An analytical evaluation of flammability limits of gaseous mixtures of combustible-oxidizer-diluent. Fire Safety J., 2002, 37: 549-568
[94] Takahashi A, Urano Y, Tokuhashi K, Kondo S. Effect of vessel size and shape on experimental flammability limits of gases. J Hazardous Mater 2003, A105: 27-37
[95] Lonnermark A, Ingason H. Gas temperatures in heavy goods vehicle fires in tunnels. Fire Safety J. 2005, 40:506-527
[96] Lemaire T. Runehamar tunnel fire tests: radiation, fire spread and back layering. International symposium on catastrophic tunnel fires(CTF), SP Report 2004: 05, 105-116, Sweden, 20-21 November, 2003
[97]夏东海等.火灾场景的假说体系研究.消防科学与技术, 2004, vol. 23, no.3, pp 26-29
[98]夏东海等.消防应急广播系统的性能化设计.消防科学与技术, 2002, vol. 21, no.4, pp121-124
[99]夏东海,王殊,朱明.建筑火灾探测报警的性能化设计电气与智能建筑, 2004年第8期
[100]夏东海,王殊,朱明.建筑火灾探测报警系统性能化设计及火灾场景分析.电气与智能建筑, 2005年第9期
[101]规划新能源未来15年三步走生物质能源将占15%.中国改革报. Available from: URL: http://news.xinhuanet.com/fortune/2006-04/25/content_469786.htm
[102]我国能源产业存在六问题政府应力促新能源发展.中国改革报. Available from: URL: http://news.xinhuanet.com/fortune/2006-04/25/content_469742.htm
[103]欧洲生物燃气应用规模不断扩大. Available from: URL: http://energy.worldenergy.com.cn/2007/0829/content_21973.htm
[104]德将把生物燃气并入城市天然气管网. Available from: URL: http://www.ntem.tj.cn:80/ntem/show.jsp?informationid=200606131012501507&classid=200706041622209192
[105]德国生物燃气巨头欲投资重庆.国际燃气网. Available from: URL: http://www.in-en.com/gas/html/gas-0936093689138822.html
[106]以色列牛粪发电环保节能一举两得.中央电视台. Available from: URL: http://www.in-en.com/power/html/power-200720070810115961.html
[107]姚向君,王革华,田宜水编.国外生物质能的政策与实践.北京:化工工业出版社, 2006
[108]美华裔开创廉价氢气科技利用生物体制干净燃料. Available from: URL: http://www.bionews.com.cn/Chinese/news/content/view/2475/36/
[109]生物制氢技术-微生物电解池. Available from: URL: http://www.greenedia.com/sectors/directory/biopact-blog/67264
[110]美国:微生物生产汽油的研究. Available from: URL: http://www.biobased.org/list2.php?storyid=13557
[111]美国科学家研究用深海微生物生产生物燃料. Available from: URL: http://www.qibebt.ac.cn/Info_www/news/ColumnIndex.asp?ColumnCode=021
[112] W.F.休斯等著,徐燕侯等译.流体动力学.北京:科学出版社, 2002
[113]许贤良编著.流体力学.北京:国防工业出版社, 2006
[114]刘树红,吴玉林.应用流体力学.北京:清华大学出版社, 2006
[115]张兆顺著.湍流.北京:国防工业出版社, 2002
[116]张兆顺等编著.湍流理论与模拟.北京:清华大学出版社, 2005
[117]张兆顺,崔桂香等.走近湍流.力学与实践, 2002, 24(1): 17-25
[118]余常昭著.环境流体力学导论.北京:清华大学出版社, 1992
[119]芩可法等著.燃烧理论与污染控制.北京:机械工业出版社, 2004
[120]刘平,袁林旺等.连续点源烟气空间扩散的模拟.环境科学与技术, 2006, 3
[121]孟志鹏,王淑兰.可爆性气体泄漏扩散时均湍流场的数值模拟.安全与环境学报, 2003, 3
[122]王海蓉,马晓茜. LNG重气连续点源泄漏扩散的数值模拟研究.天然气工业, 2006, 9
[123]郝吉明等主编.大气污染控制工程.北京:高等教育出版社, 2001
[124]曹文俊.空气污染气象学.北京:气象出版社, 2004
[125] W.罗迪(德国).湍浮力射流与羽流.北京:海洋出版社, 1991
[126]余常昭著.紊动射流.北京:高等教育出版社, 1983
[127] Dougal Drysdale. An Introduction to Fire Dynamics [M].Second Edition. John Wiley & Sons, Chichester, England, 1999
[128]邱雁,周心权.水平巷道火灾浮羽流及顶板射流积分模型.辽宁工程技术大学学报(自然科学版), 2003, 22(5):585-588
[129]林松.燃烧规律与图痕.消防科学与技术, 2004, 4
[130]张和平,姜锡权等.中庭建筑天井内火灾烟气运动特性的盐水实验模拟.实验力学, 1999, 14(1): 69-78
[131]孙占辉,杨锐等.大空间中庭及周边房间烟气运动和消防设计.清华大学学报(自然科学版), 2006, 46(9): 1572-1576
[132] Huo R, Chow W K, Jin X H, et al. Experimental studies on natural smoke filling in atrium due to a shop fire. Building and Environment, 2005, 49(9): 1185-1193
[133] Zhang W, Hamer A, et al. Turbulence statistics in a fire room model by large eddy simulation. Fire Safety J. 2002, 37: 721-752
[134] Yang J, Dong G W, Peng Y N, et al. Generalized optimization of polarimetric contrast enhancement. IEEE Trans GRS, 2004, 42(3): 171-174
[135] Waldschmidt C, Kuhnert C, Schulteis S, et al. Compact MIMO-arrays based on polarization-diversity. Antennas and Propagation Society International Symposium, 2003, IEEE, Columbus, USA, June 2003, 2: 499-502
[136] Ian F. Akyildiz, Weilian Su, Yogesh Sankarasubramaniam, and Erdal Cayirci. A survey on sensor networks. IEEE Communications Magazine, August 2002
[137] Q. Liu.λ-Level rough equality and the inference of rough paramodulation. In Proc. Second International Conf. on Rough Sets and Current Trends in Computing, Canada, Oct. 2000, pp. 19-22
[138]李永祯,王雪松,肖顺平,庄钊文.基于极化起伏度的微弱信号检测.信号处理, 2006, 22(1): 100-104
[139] Hairong Q, Yingyue X, Xiaoling W. Mobile-agent-based collaborative processing in sensor networks. Proceedings of the IEEE, Special Issue on Sensor Networks and Applications, Volume: 91, Issue: 8, Pages: 1172–1183, Aug. 2003
[140] Bennett V, Danisch L. Field installation details of a wireless shape-acceletation array system for geotechnical applications. In Proceedings of SPIE, v6529 PART 2, Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2007, 2007, p 652930
[141]张覃铁.电子鼻:传感器阵列、系统及应用研究.华中科技大学博士论文, 2006, 4
[142] Mitzner K D, Sternhagen J. Development of a micromachined hazardous gas ensor array. Sensors and Actuators, B: Chemical, v 93, Aug 1, 2003, p 92-99
[143] Hewish M. Little Brother is Watching you: Unattended Ground Sensors. Defense Review, 2001, 34 (6): 46~52
[144] Vatte A, Munchmeyer W, Arndt D. Gas sensor arrays for monitoring gases in the environment of municipal sewage plants. VDI Berichte, n 1850, 2004, p 127-135
[145] Smith G J, Morgenthaler G W. Space habitat envviromental health risk assessment and management. Proceeings of the lnternational conferece on engineering, construction, and operations in Space, v2, 1996, p1008-1019.
[146] Monekosso D N, Remagnino P. Monitoring behavior with an array of sensor. Computational Intelligence, v 23, n 4, 2007, p 420-438
[147] Borromeo S, Rodriguez S C, Machado F. A reconfigurable, wearable, wireless ECG system. EMBC’07, 2007, p 1659-1662
[148] Yamasaki H, Hiranaka Y. Multi-dimensional intelligent sensing system using sensor array. Sensors and Actuators, A: Physical, v 35, n 1, 1992, p 1-8
[149] Michalopoulos P, Hourdakis J. Review of non-intrusive advanced sensor devices for advanced traffic management systems and recent advances in video detection. Journal of System and Control Engineering, v 215, n 4, 2001, p 345-355
[150] Johnson T J, Brown R L. Distribution structural health monitoring with a smart sensor array. Mechanical Systems and Signal Processing, v 18, n 3, 2004, p 555-572
[151] Sensor Webs. http://sensorwebs.jpl.nasa.gov/
[152] Yin N, Jiang J, Zhang G. Embedded ARM processor FPGA technology in star sensor. Journal of Beijing University of Aeronautics and Astronautics, v31, n 3, 2005, p 341-345
[153] Bonabeau E, Dorigo M, Theraulaz G. Swarm intelligence: from nature to artificialsystems. New York: Oxford Univ. Press, 1999
[154] Kennedy J, Eberhart Russell C. Swarm intelligence. Morgan Kaufmann, 2001
[155]史忠植著.智能科学.北京:清华大学出版社, 2006
[156]段海滨著.蚁群算法原理及其应用.北京:科学出版社, 2005
[157] Baumgartner U, Magele C, Renhart W. Pareto optimality and particle swarm optimization. IEEE Transactions on Magnetics, 2004, 40(2): 1172-1175
[158] Ciuprina C, et al. Use of intelligent-particle swarm optimization in electromagnetics. IEEE Transactions on Magnetics, 2002, 38(2): 1037-1040
[159] Clerc M, Kennedy J. The particle swarm: explosion, stability, and convergence in a multi-dimensional complex space. IEEE Transactions on Evolutionary Computation, 2002, 6(1): 58-73
[160] Coello C, Carlos A. Handling multiple objectives with particle swarm optimization. IEEE Transactions on Evolutionary Computation, 2004, 8(3): 256-279
[161] Eberhart R C, Shi Y. Particle swarm optimization: developments, applications and resources. Proc. Congress on Evolutionary Computation, Soul: IEEE, 2001, 81-86
[162] Mark W, Renata S, Zheng Y F. An approach to multimodal biomedical image registration utilizing particle swarm optimization. IEEE Transactions on Evolutionary Computation, 2004, Particle Swarm Optimization, 8(3): 289-301
[163] Sousa, Tiago, et al. Particle swarm based data mining algorithms for classification tasks. Parallel Computing, 2004, 30(5): 767-783
[164]吴启迪,汪镭著.智能微粒群算法研究及应用.南京:江苏教育出版社, 2005
[165]谢晓锋,张文俊.微粒群算法综述.控制与决策, 2003, 18(2): 129-133
[166]杨燕, Kamel M.微粒群优化算法研究现状及其进展.计算机工程, 2004, 30(21): 3-9
[167]张燕,康琦,汪镭等.微粒群优化算法及其改进形式综述.计算机工程与应用, 2005, 41(2): 1-3
[168] Pawlak Z. Rough sets: theoretical aspects of reasoning about data. Kluwer Academic Publishers, 1991
[169] Pawlak Z. Rough sets and intelligent data analysis. Information Science, 2002, 147, 1-12
[170] Tay Francis E H, Shen L X. Economic and financial predication using rough sets model. European Journal of Operational Research, 2002, 141(3): 641-659
[171] Greco S, Matarazzo B, Slowinski R. Rough approximation by dominance relations. International Journal of Intelligent Systems, 2002, 17(2): 153-171
[172] Wu W Z, Zhang W X, Li H Z. Knowledge acquisition in incomplete fuzzy information systems via rough set approach. Expert Systems, 2003, 20:280-286
[173] Hou T H, Huang C C. Application of fuzzy logic and variable precision rough set approach in a remote monitoring manufacturing process for diagnosis rule induction. Journal of Intelligent manufacturing, 2004, 15(3): 395-408
[174] Mi J S, Leng Y, Wu W Z. An uncertainty measure in partition-based fuzzy rough sets. International Journal of General Systems, 2005, 34(1): 77-90
[175] Shao M W, Zhang W X. Dominance relation and rules in an incomplete ordered information system. International Journal of Intelligent Systems, 2005, 20: 13-27
[176]王国胤编著. Rough集理论与知识获取.西安:西安交通大学出版社, 2001
[177]刘清著. Rough集及Rough推理.北京:科学出版社, 2001
[178]张文修,吴伟志等编著.粗糙集理论与方法.北京:科学出版社, 2001
[179]张文修,仇国芳著.基于粗糙集的不确定决策.北京:清华大学出版社, 2005
[180] Beard AN, Drysdale DD, Bishop SR. Model of fire in a tunnel. Bull Inst Math 1996, 32:139-42
[181] Gockel F. Fire sensor modelling and simulation. Proceedings AUBE’01 conference, National Institute of Standards and Technology, MD, USA, 2001
[182] Faouzi Derbel. Performance improvement of fire detectors by means of gas sensors and neural network. Fire Safety Journal, Elsevier Ltd., 2004, vol.39, no. 3, pp. 383-398
[183] Maegerle R. Fire protection systems for traffic tunnels under test. In Proceedings of 12th International Conference on Automatic Fire Detection AUBE 01’, March 2001, pp. 324–337
[184] Fire dynamics simulator—Technical Reference Guide, NIST, Gaithersburg, USA, 2001
[185] FDS database files. Available from: URL: http://fire.nist.gov/fds/, 2005
[186] Vauquelin O., Megret O.. Smoke experiments in case of fire in a tunnel. Fire Safety Journal, Elsevier Ltd., 2004, Vol. 37, no.5, pp. 525-533
[187] Wu Y, Bakar M Z A. Control of smoke flow in tunnel fires using longitudinal ventilation systems-a study of the critical velocity. Fire Safety Journal, 2000, 35 : 363～390
[188]张祉道.公路隧道的火灾事故通风.现代隧道技术, 2003 , 40 (1) : 34-43
[189]卢平,丛北华,廖光煊,范维澄,厉培德.纵向通风水平隧道火灾烟气流动特性研究.中国工程科学, 2004, 6(10): 59-64
[190] ITA working group 4. Fire and life safety for underground facilities: present status of fire and life safety principles related to underground facilities. Tunnelling and Underground Space Technology, 1996, vol.13, no.3: pp.217-269
[191] Wu Feng, Deng Jun. Experimental study on the fire smoke flow in underground business street. China Safety Science Journal, 2005, Vol.15, No.12: pp. 60-65
[192] Vauquelin O., Megret O.. Smoke experiments in case of fire in a tunnel. Fire Safety J., 2002, Vol. 37(5): pp. 525-533
[193]张贤达,保铮.通信信号处理.北京:国防工业出版社, 2000
[194]张贤达.现代信号处理.北京:清华大学出版社, 2002
[195] Krim H, Viberg M. Two decades of array signal processing research. IEEE Signal Processing Magazine, 1996, 13(4): 67-94
[196] Haykin S. Array signal processing. Prentice-Hall, Englewood Cliffs, NJ. 1995
[197] Meng Y, Stoica P, Wong K M. Estimation of the direction of arrival of spatially dispersed signals in array processing. IEEE Proc-F, 1996, 43(1): 1-9
[198] Trump T, Ottersten B. Estimation of nominal direction of arrival and angular spread using an array of sensors. Signal Processing, 1996, 50(1): 57-69
[199]王永良等著.空间谱估计理论与算法.北京:清华大学出版社, 2004
[200] Delichatsios MA. Smoke yields from turbulent buoyant jet flames. Fire Safety J., 1993, 20: 299-311
[201] Puri R, Santoro RJ, Smyth KC. The oxidation of soot and carbon monoxide in hydrocarbon diffusion flames. Combust Flame, 1994, 97:125-144
[202] Shu Wang, Martin Berentsen, Thomas Kaiser. Signal processing algorithms for firelocalization using temperature sensor arrays. Fire Safety J., 2005, 40: 689-697
[203] Puri R, Santoro RJ, Smyth KC. Erratum. The oxidation of soot and carbon monoxide in hydrocarbon diffusion flames. Combust Flame, 1995, 102: 226-238
[204] Tien CL, Lee KY, Stretton AJ. Radiation Heat Transfer [M]. In: SFPE handbook of fire protection engineering, 2nd ed. Quincy, MA: National Fire Protection Association, 1995
[205] Reilly PTA, Gieray RA, Whitten WB, Ramsey JM. Fullerene evolution in flame-generated soot. J. Am Chem Soc, 2000,122:11596-11601
[206] Markstein GH. Radiant emission and smoke points for laminar diffusion flames of fuel mixtures. In Proc Combust Inst. 1986; 21:1107-1114
[207] Orloff L, De Ris J, Delichatsios MA. Radiation from buoyant turbulent diffusion flames. Combust Sci Tech., 1992, 84:177-186
[208] Liu F, Guo H, Smallwood GJ, Gulder OL. Numerical modelling of soot formation and oxidation in laminar coflow non-smoking and smoking ethylene diffusion flames. Combust Theory Modelling, 2003, 7: 301-315
[209] Christopher W. Lautenberger, John L. de Ris, Nicholas A. Dembsey, Jonathan R. Barnett, Howard R. Baum. A simplified model for soot formation and oxidation in CFD simulation of non-premixed hydrocarbon flames. Fire Safety J., 2005, 40: 141-176
[210] Feuillet J P, Allensworth W S. Nonambiguous beamforming for a high resolution twin-line array. J. Acoust. Soc. Am., 1995, 97(5):32-92
[211] Schurman I W. Reverberation rejection with a dual-line array. IEEE J. Oceanic Eng., 1996, 21(2):193-204
[212]李启虎.用双线列阵区分左右舷目标的延时估计方法及其实现.声学学报, 2006, 31(6): 485-487
[213]朱明,王殊.微弱气体浓度检测的弛豫平滑处理算法.应用科学学报,已被录用
[214]鄢舒,王殊.多原子分子气体中声波弛豫衰减谱的重建算法.物理学报,已被录用
[215] G.. C. Carter. Coherence and Time Delay Estimation. Proceeding of the IEEE. 1987. Vol.75 No.2:236～255
[216]何友等著.多传感器信息融合及应用.北京:清华大学出版社, 2000
[217] Thomas Kaiser. Fire Detection with Temperature Sensor Arrays. IEEE Carnahan Conference proceedings. 2000. 262～268