基于视频分析的沥青拌和料配比监控系统
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摘要
沥青拌和料配比的好坏直接影响沥青路面质量的优劣,但在长期的道路施工过程中,一直没有一种有效的监控手段来防止拌和料的配比信息被篡改。论文在对国内外各类监控系统进行充分调研和分析的基础上,设计了基于视频分析的沥青拌和料配比监控系统,实现了沥青拌和料配比信息的快速、实时监控。
论文主要研究了沥青拌和料配比监控系统的视频采集、视频处理及结果分析、显示、存储等关键技术问题。在综合分析现场及实际情况后,详细介绍了视频监控系统的工作原理、硬件组成结构、软件设计及实现方法,并对视频采集和分析技术进行了重点研究,然后提出了高速数字信号处理器平台下应用视频采集技术实现对沥青混合料实际配比及拌和站机械操作动作的捕获方法。最后设计了基于无线网络与有线网络相结合的信息传输模块,实现了拌和料配比的远程监控,据此可以快速准确的完成沥青拌和站拌料配比信息的远程监控及报警。
本文设计的沥青拌和料配比监控系统已经用于高速公路建设施工现场的数据信息监控,实现了沥青混合料的配比和温度信息的快速采集、海量数据信息的交互式检索与显示。该系统为沥青道路建设施工信息管理、道路施工进度和道路施工性能评估、提供了快速有效的技术手段,可有效提升交通行业沥青道路施工质量的评估和管理水平。
The asphalt mixing material ratio has a direct impact on the quality of the asphalt pavement, but there is not an effective monitoring method to prevent the mixing material ratio information from being tampered until now. On the basis of analyzing various domestic and international monitoring systems, this paper designs the asphalt mixing materials ratio monitoring system based on video analysis. This realizes the rapid and real-time monitoring of asphalt mixing materials ratio information.
This paper mainly studies the video collection, video processing and analysis of the results, display, storage, and other key technical problems of the asphalt mixing material ratio monitoring system. After comprehensive analysis of field and actual circumstances, this paper introduces the working principle, hardware structure, the software design and realization method of video monitoring system in detail. And the video collection and analysis techniques are mainly studied. Under the platform of the high speed digital signal processor, this paper puts forward a method that using the video collection technologies to realize the method of capturing actual ratio of asphalt mixture and mixing station mechanical operation action. Finally, this paper designs the information transmission algorithm based on combining of wireless network and wired network to realize the remote monitoring of the mixing materials ratio. This can finish the remote monitoring and warning of the asphalt mixing and station's mixing materials ratio information rapidly and accurately.
The asphalt mixing material ratio monitoring system proposed by papers has been used in highway construction site data information monitoring. It realizes the rapid collection of proportion and temperature information of asphalt mixture, the interactive retrieval and display of massive data information The system provides fast and effective techniques for asphalt pavement construction information management, road construction schedule and road construction performance evaluation. It can effectively enhance the assessment and management level of the asphalt road construction in transportation.
论文主要研究了沥青拌和料配比监控系统的视频采集、视频处理及结果分析、显示、存储等关键技术问题。在综合分析现场及实际情况后,详细介绍了视频监控系统的工作原理、硬件组成结构、软件设计及实现方法,并对视频采集和分析技术进行了重点研究,然后提出了高速数字信号处理器平台下应用视频采集技术实现对沥青混合料实际配比及拌和站机械操作动作的捕获方法。最后设计了基于无线网络与有线网络相结合的信息传输模块,实现了拌和料配比的远程监控,据此可以快速准确的完成沥青拌和站拌料配比信息的远程监控及报警。
本文设计的沥青拌和料配比监控系统已经用于高速公路建设施工现场的数据信息监控,实现了沥青混合料的配比和温度信息的快速采集、海量数据信息的交互式检索与显示。该系统为沥青道路建设施工信息管理、道路施工进度和道路施工性能评估、提供了快速有效的技术手段,可有效提升交通行业沥青道路施工质量的评估和管理水平。
The asphalt mixing material ratio has a direct impact on the quality of the asphalt pavement, but there is not an effective monitoring method to prevent the mixing material ratio information from being tampered until now. On the basis of analyzing various domestic and international monitoring systems, this paper designs the asphalt mixing materials ratio monitoring system based on video analysis. This realizes the rapid and real-time monitoring of asphalt mixing materials ratio information.
This paper mainly studies the video collection, video processing and analysis of the results, display, storage, and other key technical problems of the asphalt mixing material ratio monitoring system. After comprehensive analysis of field and actual circumstances, this paper introduces the working principle, hardware structure, the software design and realization method of video monitoring system in detail. And the video collection and analysis techniques are mainly studied. Under the platform of the high speed digital signal processor, this paper puts forward a method that using the video collection technologies to realize the method of capturing actual ratio of asphalt mixture and mixing station mechanical operation action. Finally, this paper designs the information transmission algorithm based on combining of wireless network and wired network to realize the remote monitoring of the mixing materials ratio. This can finish the remote monitoring and warning of the asphalt mixing and station's mixing materials ratio information rapidly and accurately.
The asphalt mixing material ratio monitoring system proposed by papers has been used in highway construction site data information monitoring. It realizes the rapid collection of proportion and temperature information of asphalt mixture, the interactive retrieval and display of massive data information The system provides fast and effective techniques for asphalt pavement construction information management, road construction schedule and road construction performance evaluation. It can effectively enhance the assessment and management level of the asphalt road construction in transportation.
引文
[1]于黎明.沥青混凝土搅拌设备监控系统研究[D].长安大学,2009.
[2]JTGF40-2004.公路沥青路面施工技术规范[S].中华人民共和国交通部,2004.
[3]甘家锦,李泽滔.基于GPRS的无线智能监控系统[J].云南大学学报(自然科学版),2009,31(S2)：317-320.
[4]Jan Axelson[美]那怡超译.并行端口大全[M].北京：中国电力出版社,2001：13-25.
[5]邵丹,韩家伟.YUV与RGB之间的转换[J].长春大学学报,2004,14(4)：51-53
[6]朱辉生VC中基于SOCKET的网络编程[J].计算机应用与软件,2004,21(4)：118-119.
[7]陈兵旗著.Visual C++实用图像处理[M].北京：清华大学出版社,2004：16-45.
[8]何斌编著.Visual C++数字图像处理[M].北京：人民邮电出版社,2001：20-56.
[9]张宏林编著Visual C++数字图像模式识别技术及工程实践[M].北京：人民邮电出版社,2003：20-67.
[12]刘波,余建辉,韩宗兴.沥青混合料搅拌设备远程监控系统研究与应用[J].工程机械,2010,41(10)：45-46.
[13]龚振雄等,特征描绘法[M].北京：清华大学出版社,1998：20-65.
[14]张新红,吴金强.基于GPRS的远程数据采集及监控系统[J].机械管理开发,2008,23(01)：93-95.
[15]李杨,曾宪文.基于GPRS和GPS技术的工业设备远程监测系统[J].上海电机学院学报,2009,12(02)：125-128.
[16]李美莲.基于GPRS的远程监控终端的研究[J].科技信息,2010,4(16)233-233.
[17]孙学宏,车进,张成.基于GPRS的水利数据采集及远程监控系统研究[D].安徽农业科学,2009.
[18]李富年.基于GPS/GPRS的车辆移动监控终端的设计与实现[J].现代电子技术,2007,30(13)：191-194.
[19]罗三定,杨金平,李国富.改进的模板匹配算法[J].计算机工程与应用,2010,46(03)：169-171.
[20]宋曦,周荫清.一种基于模板匹配的目标识别方法[J].遥测遥控,2010,36(02)：52-56.
[21]ZhongQiYue,William Bekking,and Isabelle Morin.Application of Digital Image Processing to Quantitative Study of Asphalt Concrete Micro structure [J],TRR 2001,4(9)：53-60.
[22]李云,鲍苏苏,杨璐.二值图象中物体区域的选定及外边缘跟踪技术[J].华南师范大学学报.2000,5(3)：45-47.
[23]杨淑莹,边奠英.VC++图像处理程序设计(第二版)[M].北京：清华大学出版社.2005：98-103.
[24]夏良正,李久贤.数字图像处理(第二版)[M].江苏：东南大学出版社.2005：143-151.
[25]朱辉生.VC中基于SOCKET的网络编程[J].计算机应用与软件,2004,21(4)：118-119.
[26]胡学龙,许开宇.数字图像处理[M].电子工业出版社.2006：34-68.
[27]汪林川,基于计算机视觉的嵌入式监控系统的设计与实现[D].成都：电子科技大学,2005.
[28]郑南宁.计算机视觉与模式识别[D].北京：国防工业出社,1998.
[29]夏玲,王伟平.客户端与服务器端的Socket通信[J].电脑知识与技术,2009,5(4)812-813.
[30]Microsoft Corporation.Microsoft Developer Network[M],2005:43-67.
[31]W.Richard Stevens [W.R.斯蒂文斯]TCP/IP详解[M].机械工业出版社,2000：12-19.
[32]冯博琴,陈文革.计算机网络[M](第2版).高等教育出版社,2004：67-86
[33]孙即祥等.模式识别中的特征提取与计算机视觉不变量[M].北京：国防工业出版社,2001：223-287.
[34]王耀男,李树涛,毛建旭,计算机图像处理与识别技术[M].高等教育出版社,2005：25.
[35]CowellJR.Syntactic pattern recognizer for vehicle identification numbers[J],Image and V ision Computing,1995,13(1):13-19.
[36]Naito Takashi, Tsukada Toshihiko, Yamada Keiichi, Kozuka Kazu-hiro,Yamamioto Shin Robust.License plate recognition method for passing vehicles under outside environment,IEEE Transactions on Vehicular Technology 496 Nov 2000 IEEE
[2]JTGF40-2004.公路沥青路面施工技术规范[S].中华人民共和国交通部,2004.
[3]甘家锦,李泽滔.基于GPRS的无线智能监控系统[J].云南大学学报(自然科学版),2009,31(S2)：317-320.
[4]Jan Axelson[美]那怡超译.并行端口大全[M].北京：中国电力出版社,2001：13-25.
[5]邵丹,韩家伟.YUV与RGB之间的转换[J].长春大学学报,2004,14(4)：51-53
[6]朱辉生VC中基于SOCKET的网络编程[J].计算机应用与软件,2004,21(4)：118-119.
[7]陈兵旗著.Visual C++实用图像处理[M].北京：清华大学出版社,2004：16-45.
[8]何斌编著.Visual C++数字图像处理[M].北京：人民邮电出版社,2001：20-56.
[9]张宏林编著Visual C++数字图像模式识别技术及工程实践[M].北京：人民邮电出版社,2003：20-67.
[12]刘波,余建辉,韩宗兴.沥青混合料搅拌设备远程监控系统研究与应用[J].工程机械,2010,41(10)：45-46.
[13]龚振雄等,特征描绘法[M].北京：清华大学出版社,1998：20-65.
[14]张新红,吴金强.基于GPRS的远程数据采集及监控系统[J].机械管理开发,2008,23(01)：93-95.
[15]李杨,曾宪文.基于GPRS和GPS技术的工业设备远程监测系统[J].上海电机学院学报,2009,12(02)：125-128.
[16]李美莲.基于GPRS的远程监控终端的研究[J].科技信息,2010,4(16)233-233.
[17]孙学宏,车进,张成.基于GPRS的水利数据采集及远程监控系统研究[D].安徽农业科学,2009.
[18]李富年.基于GPS/GPRS的车辆移动监控终端的设计与实现[J].现代电子技术,2007,30(13)：191-194.
[19]罗三定,杨金平,李国富.改进的模板匹配算法[J].计算机工程与应用,2010,46(03)：169-171.
[20]宋曦,周荫清.一种基于模板匹配的目标识别方法[J].遥测遥控,2010,36(02)：52-56.
[21]ZhongQiYue,William Bekking,and Isabelle Morin.Application of Digital Image Processing to Quantitative Study of Asphalt Concrete Micro structure [J],TRR 2001,4(9)：53-60.
[22]李云,鲍苏苏,杨璐.二值图象中物体区域的选定及外边缘跟踪技术[J].华南师范大学学报.2000,5(3)：45-47.
[23]杨淑莹,边奠英.VC++图像处理程序设计(第二版)[M].北京：清华大学出版社.2005：98-103.
[24]夏良正,李久贤.数字图像处理(第二版)[M].江苏：东南大学出版社.2005：143-151.
[25]朱辉生.VC中基于SOCKET的网络编程[J].计算机应用与软件,2004,21(4)：118-119.
[26]胡学龙,许开宇.数字图像处理[M].电子工业出版社.2006：34-68.
[27]汪林川,基于计算机视觉的嵌入式监控系统的设计与实现[D].成都：电子科技大学,2005.
[28]郑南宁.计算机视觉与模式识别[D].北京：国防工业出社,1998.
[29]夏玲,王伟平.客户端与服务器端的Socket通信[J].电脑知识与技术,2009,5(4)812-813.
[30]Microsoft Corporation.Microsoft Developer Network[M],2005:43-67.
[31]W.Richard Stevens [W.R.斯蒂文斯]TCP/IP详解[M].机械工业出版社,2000：12-19.
[32]冯博琴,陈文革.计算机网络[M](第2版).高等教育出版社,2004：67-86
[33]孙即祥等.模式识别中的特征提取与计算机视觉不变量[M].北京：国防工业出版社,2001：223-287.
[34]王耀男,李树涛,毛建旭,计算机图像处理与识别技术[M].高等教育出版社,2005：25.
[35]CowellJR.Syntactic pattern recognizer for vehicle identification numbers[J],Image and V ision Computing,1995,13(1):13-19.
[36]Naito Takashi, Tsukada Toshihiko, Yamada Keiichi, Kozuka Kazu-hiro,Yamamioto Shin Robust.License plate recognition method for passing vehicles under outside environment,IEEE Transactions on Vehicular Technology 496 Nov 2000 IEEE
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