水坝监测软件系统的设计与实现
摘要
对地质灾害的预防和测量,历来受到各个国家的重视,而最近全球频发的地质灾害说明了提前预知的重要性。前置准确的预警不仅能够保证人民的人身财产安全,也对国家稳定发展提供了可靠的保证,这就要求我们要有更快更准确的方法来进行提前预防。然而,在一些特殊的应用环境中,例如高电磁干扰、易燃易爆、强腐蚀环境等,传统的基于电的温度检测系统很难满足需要,而采用光纤技术的温度传感器在这方面具有其独特的优势。根据实现方法的不同,光纤传感器具有各自的特点和相应的适用范围。
在此背景下,本文综合了发达国家的一些发展经验,对在坝体上铺设的光纤应变传感器得到的温度数据和应变数据进行了分析,并采用C#语言予以软件实现。该软件是在详细做了需求分析,并规划了合理的系统结构基础上开发的,能够对采集到的数据进行各种形式的分析,同时可以形成不同温度和应变下的折线对比图等,从而达到及时发现可能存在的地质灾害隐患的目的。
The prevention and measurement of geological disaster have been subjected to various national attentions, and the recent frequent geological disasters in the world show the importance of prediction. Since the prediction can not only ensure people’s personal and property safety but also provide reliable guarantee to the national stability and development, it requires us to apply faster and more accurate approach to prevention in advance. However, in some special application situations, such as high electromagnetic interference, inflammable and explosive, or highly corrosive environment, the traditional electric temperature detection system can not meet the practical needs while in this area temperature sensor using optical fiber technology has its unique advantages. According to different implementations, fiber-optic sensors have their own characteristics and the corresponding application situation.
In such a research background, by integrating the development experience of some developed countries, this paper makes the analysis of the temperature data and strain data from the fiber optic strain sensor on the dam, which is realized by the software using C# language. Developed on the basis of demand analysis and reasonable system architecture, this software can make analysis of various forms of collected data and form the line comparison chart under different temperature and strain, so as to detect the hidden geological dangers.
在此背景下,本文综合了发达国家的一些发展经验,对在坝体上铺设的光纤应变传感器得到的温度数据和应变数据进行了分析,并采用C#语言予以软件实现。该软件是在详细做了需求分析,并规划了合理的系统结构基础上开发的,能够对采集到的数据进行各种形式的分析,同时可以形成不同温度和应变下的折线对比图等,从而达到及时发现可能存在的地质灾害隐患的目的。
The prevention and measurement of geological disaster have been subjected to various national attentions, and the recent frequent geological disasters in the world show the importance of prediction. Since the prediction can not only ensure people’s personal and property safety but also provide reliable guarantee to the national stability and development, it requires us to apply faster and more accurate approach to prevention in advance. However, in some special application situations, such as high electromagnetic interference, inflammable and explosive, or highly corrosive environment, the traditional electric temperature detection system can not meet the practical needs while in this area temperature sensor using optical fiber technology has its unique advantages. According to different implementations, fiber-optic sensors have their own characteristics and the corresponding application situation.
In such a research background, by integrating the development experience of some developed countries, this paper makes the analysis of the temperature data and strain data from the fiber optic strain sensor on the dam, which is realized by the software using C# language. Developed on the basis of demand analysis and reasonable system architecture, this software can make analysis of various forms of collected data and form the line comparison chart under different temperature and strain, so as to detect the hidden geological dangers.
引文
[1]周福星.光纤传感器的应用与发展[EB/OL]. (2011-2-10). [2011-2-10]
[2]魏德荣,赵花城.分布式光纤监测技术在我国的发展[EB/OL]. (2006-2-22).[2010-12-13]
[3] A.D.Kersey, and A.Dandridge. Distributed and Multiplexed Fiber-Optic Sensor System. Journal of the Institution of Electronic and Radio Engineers, 2008 (5): 99-11
[4] A.Zur, A.Katzir. Theory of Noncontact Point Thermal Sensing by Fiber-Optic Radiometry. Applied Optics, 1992
[5] R.Stierlin, J.Ricka, B.Zysset,R.Battig. Distributed Optical-Fiber Temperature Sensors using SinglePhoton Counting Detection. Applied Optics, 1987(8): 1368-1371
[6]侯培国.分布式光纤温度传感系统的理论与实验研究[D].秦皇岛:燕山大学, 2003
[7]刘高平.光纤温度传感器在水库水位监测中的应用[J].电子测量与仪器学报, 2008.5
[8]唐晋生.一种监测水坝变形的光外差光纤传感器设计[J].西南交通大学学报,2004.2
[9]徐洪钟,施斌,张丹.基于小波分析的BOTDR光纤传感器信号处理方法[J].光电子与激光, 2003, 14(7):737-740
[10]秦建华.设备管理信息系统的开发[J].计算机应用, 2001, 21(8):225-226
[11]李晓波.光纤光栅传感器在结构应变检测中的应用研究[J].工程质量, 2008.9
[12]孟庆文.基于P-OTDR分布式光纤传感器若干问题的研究[D].北京交通大学硕士论文, 2008
[13]陈雪峰.应用光纤光栅传感器监测弹性材料内部应变[J].黑龙江大学自然科学学报, 2008.3
[14]耿军平,许家栋,韦高.基于布里渊散射的分布式光纤传感器的进展[J].测试技术学报, 2004, 16(2):57-91
[15]常胜,李伟良.分布式光纤温度传感检测技术及其应用[J].广东电力,2002, 15(4):36-38
[16]王海晕.基于Visual C# .Net教学研究项目管理系统的开发[J].计算机与数字工程, 2006.10
[17]哈斯乌力吉,吕志伟,何伟明.介质参数对受激布里渊散射特性的影响[J].强激光与粒子束, 2005, 17(1):51-54
[18]刘迪仁.基于连续光抽运的布里渊光时域分析仪新技术[J].光学仪器, 2005,27(3):70-73
[19]王国营.大型水坝实时监测系统的设计与实现[J].计算机工程与应用, 2006
[20]张在宣,刘天夫,张步新.激光喇曼型分布光纤温度传感器系统[J].光学学报, 1995
[21]肖韶荣.半导体光强反射式光纤温度传感器[J].光学精密工程, 1999.2
[22]李存磊.温度对盘装光缆中光纤应变的影响[J].光通信技术, 2008.1
[23]万生鹏,何赛灵.基于布里渊散射的光纤传感系统性能分析[J].传感技术学报, 2004,(02)
[24]孙毅,赵泰,侯思祖.基于OTDR的光纤在线监测系统实验研究[J].华北电力大学学报, 2004,(05)
[25]肖建红.水坝对河流生态系统服务功能影响及其评价研究[D].南京市:河海大学, 2006.9
[26] Wang Yutian, Liu Zhanwei. Distributed Optical Fiber Sensor for Multi-point Temperature Measurement. Semiconductor Photonics and Technology, 2004.3
[27] Liu Tiegen, Li Chuan. A distributed optical fiber bi-directional strain-displacement sensor. Progress in Natural Science, 2003(01)
[28] KRONVANG Brian. Linking monitoring and modelling for river basin management: Danish experience with combating nutrient loadings to the aquatic environment from point and non-point sources. Science in China(Series E:Technological Sciences), 2009.11
[29] Guo Jinsong. Artificial neural network modeling of water quality of the Yangtze River system: a case study in reaches crossing the city of Chongqing. Journal of Chongqing University(English Edition), 2009.1
[30] Vuorinen Esa . In-situ SEM observation on fracture behavior of austempered silicon alloyed steel. China Foundry, 2009.3
[31]张华. The real-time measurement of welding temperature field and closed-loop control of isotherm width. Science in China, Ser.E, 1999.2
[32]毛玮明. Compensation of 50 km SMFOptical Transmission Systemswith a Linearly Chirped Fiber Grating. Tsinghua Science and Technology, 1999.4
[33] Han Jing. Fabrication of TiO_2 Thin Film by Electrostatic Self-Assembly Method on Optical Fiber. Journal of Rare Earths, 2005.1
[34] Liang Rui. Four-bit all-optical quantization based on Raman self-fre-quency shift and spectral compression. Optoelectronics Letters, 2009.6
[35] Cao Zhenxin. Distributed optical fiber surface plasmon resonance sensors. Chinese Optics Letters, 2006.3
[36] Wang Yannian. Application of Golay codes to distributed optical fiber sensor for long-distance oil pipeline leakage and external damage detection. Chinese Optics Letters, 2006.3
[37] Gao Jianzhong. Full distributed fiber optical sensor for intrusion detection in application to buried pipelines. Chinese Optics Letters, 2009.11
[38]宋牟平.Optical coherent detection Brillouin distributed optical fiber sensor based on orthogonal polarization diversity reception. Chinese Optics Letters, 2005.5
[39] DISTRIBUTED OPTICAL FIBER SENSOR FOR LONG-DISTANCE OIL PIPELINE HEALTH. Mechanical Engineering Letters ,2006.1
[40] Zhang Ning. A novel multipriority reservation protocol for plastic optical fiber access network. Chinese Optics Letters,2003.7
[41]黄梯云.管理信息系统(修订版)[M].北京:高等教育出版社, 2000
[42]廖延虎.光纤光学[M].北京:清华大学出版社, 2000
[43]曾登高. .NET系统架构与开发.北京:电子工业出版社, 2003.4
[44]陈惠贞,陈俊荣. ASP.NET程序设计[M].中国铁道出版社, 2004
[2]魏德荣,赵花城.分布式光纤监测技术在我国的发展[EB/OL]. (2006-2-22).[2010-12-13]
[3] A.D.Kersey, and A.Dandridge. Distributed and Multiplexed Fiber-Optic Sensor System. Journal of the Institution of Electronic and Radio Engineers, 2008 (5): 99-11
[4] A.Zur, A.Katzir. Theory of Noncontact Point Thermal Sensing by Fiber-Optic Radiometry. Applied Optics, 1992
[5] R.Stierlin, J.Ricka, B.Zysset,R.Battig. Distributed Optical-Fiber Temperature Sensors using SinglePhoton Counting Detection. Applied Optics, 1987(8): 1368-1371
[6]侯培国.分布式光纤温度传感系统的理论与实验研究[D].秦皇岛:燕山大学, 2003
[7]刘高平.光纤温度传感器在水库水位监测中的应用[J].电子测量与仪器学报, 2008.5
[8]唐晋生.一种监测水坝变形的光外差光纤传感器设计[J].西南交通大学学报,2004.2
[9]徐洪钟,施斌,张丹.基于小波分析的BOTDR光纤传感器信号处理方法[J].光电子与激光, 2003, 14(7):737-740
[10]秦建华.设备管理信息系统的开发[J].计算机应用, 2001, 21(8):225-226
[11]李晓波.光纤光栅传感器在结构应变检测中的应用研究[J].工程质量, 2008.9
[12]孟庆文.基于P-OTDR分布式光纤传感器若干问题的研究[D].北京交通大学硕士论文, 2008
[13]陈雪峰.应用光纤光栅传感器监测弹性材料内部应变[J].黑龙江大学自然科学学报, 2008.3
[14]耿军平,许家栋,韦高.基于布里渊散射的分布式光纤传感器的进展[J].测试技术学报, 2004, 16(2):57-91
[15]常胜,李伟良.分布式光纤温度传感检测技术及其应用[J].广东电力,2002, 15(4):36-38
[16]王海晕.基于Visual C# .Net教学研究项目管理系统的开发[J].计算机与数字工程, 2006.10
[17]哈斯乌力吉,吕志伟,何伟明.介质参数对受激布里渊散射特性的影响[J].强激光与粒子束, 2005, 17(1):51-54
[18]刘迪仁.基于连续光抽运的布里渊光时域分析仪新技术[J].光学仪器, 2005,27(3):70-73
[19]王国营.大型水坝实时监测系统的设计与实现[J].计算机工程与应用, 2006
[20]张在宣,刘天夫,张步新.激光喇曼型分布光纤温度传感器系统[J].光学学报, 1995
[21]肖韶荣.半导体光强反射式光纤温度传感器[J].光学精密工程, 1999.2
[22]李存磊.温度对盘装光缆中光纤应变的影响[J].光通信技术, 2008.1
[23]万生鹏,何赛灵.基于布里渊散射的光纤传感系统性能分析[J].传感技术学报, 2004,(02)
[24]孙毅,赵泰,侯思祖.基于OTDR的光纤在线监测系统实验研究[J].华北电力大学学报, 2004,(05)
[25]肖建红.水坝对河流生态系统服务功能影响及其评价研究[D].南京市:河海大学, 2006.9
[26] Wang Yutian, Liu Zhanwei. Distributed Optical Fiber Sensor for Multi-point Temperature Measurement. Semiconductor Photonics and Technology, 2004.3
[27] Liu Tiegen, Li Chuan. A distributed optical fiber bi-directional strain-displacement sensor. Progress in Natural Science, 2003(01)
[28] KRONVANG Brian. Linking monitoring and modelling for river basin management: Danish experience with combating nutrient loadings to the aquatic environment from point and non-point sources. Science in China(Series E:Technological Sciences), 2009.11
[29] Guo Jinsong. Artificial neural network modeling of water quality of the Yangtze River system: a case study in reaches crossing the city of Chongqing. Journal of Chongqing University(English Edition), 2009.1
[30] Vuorinen Esa . In-situ SEM observation on fracture behavior of austempered silicon alloyed steel. China Foundry, 2009.3
[31]张华. The real-time measurement of welding temperature field and closed-loop control of isotherm width. Science in China, Ser.E, 1999.2
[32]毛玮明. Compensation of 50 km SMFOptical Transmission Systemswith a Linearly Chirped Fiber Grating. Tsinghua Science and Technology, 1999.4
[33] Han Jing. Fabrication of TiO_2 Thin Film by Electrostatic Self-Assembly Method on Optical Fiber. Journal of Rare Earths, 2005.1
[34] Liang Rui. Four-bit all-optical quantization based on Raman self-fre-quency shift and spectral compression. Optoelectronics Letters, 2009.6
[35] Cao Zhenxin. Distributed optical fiber surface plasmon resonance sensors. Chinese Optics Letters, 2006.3
[36] Wang Yannian. Application of Golay codes to distributed optical fiber sensor for long-distance oil pipeline leakage and external damage detection. Chinese Optics Letters, 2006.3
[37] Gao Jianzhong. Full distributed fiber optical sensor for intrusion detection in application to buried pipelines. Chinese Optics Letters, 2009.11
[38]宋牟平.Optical coherent detection Brillouin distributed optical fiber sensor based on orthogonal polarization diversity reception. Chinese Optics Letters, 2005.5
[39] DISTRIBUTED OPTICAL FIBER SENSOR FOR LONG-DISTANCE OIL PIPELINE HEALTH. Mechanical Engineering Letters ,2006.1
[40] Zhang Ning. A novel multipriority reservation protocol for plastic optical fiber access network. Chinese Optics Letters,2003.7
[41]黄梯云.管理信息系统(修订版)[M].北京:高等教育出版社, 2000
[42]廖延虎.光纤光学[M].北京:清华大学出版社, 2000
[43]曾登高. .NET系统架构与开发.北京:电子工业出版社, 2003.4
[44]陈惠贞,陈俊荣. ASP.NET程序设计[M].中国铁道出版社, 2004