摘要
我国的煤层气产业已进入高速增长期,及时掌握煤层气田的生产情况对于安全开采有重要的意义。因此,本文针对煤层气田的特点,提出一种基于3G的视频监控系统。
我国的煤层气田分布在广袤的大地上,多数气田在人迹罕至的地方。若以传统方法建立煤层气视频监控系统将会面临电缆敷设难、后期维护成本高等困难。本文借助以高传输速率为优势的3G网络,构建无线视频监控系统可以在煤层气田视频监控领域得到广泛的应用。
首先,对比各种3G网络和视频压缩算法,最终确定煤层气视频监控系统采用中国联通WCDMA网络,压缩算法选择目前最适宜网络传输的H.264算法。实践证明,在联通WCDMA网络高传输速率的保障下,视频信号经H.264算法压缩后具有很好的传输效率。WCDMA网络中的终端不具备公网IP地址,这样监控中心就无法访问到终端设备,通过在前端设备和监控中心之间建立VPN虚拟专用网的方法很好地解决了这一问题,并保障了网络传输的安全。该煤层气视频监控系统由前端视频采集设备、视频服务器、3G路由器和监控中心软件组成。使用C#语言编写了功能齐全的视频监控软件：最后,提出一种利用帧差法的图片存储策略来解决大量图片占用系统存储资源的问题,即通过比较不同时刻图片的灰度值来判断所监控的场景是否有变化,有变化则存储,没有则不存储。这种存储策略将大大节省系统的存储空间,提高了视频管理的效率。
相信随着3G网络的不断完善,该无线监控系统将较好的满足很多应用领域的需求。
Our CBM industry has entered a period of rapid growth, it is important to grasp the situation of coal-bed methane fields of the video for the safety of CBM. Therefore, this paper presents a 3G-based video surveillance system based on the characteristics of CBM.
Our coal bed gas fields are located in the land of the vast and majority of fields are located in inaccessible places.If CBM video surveillance system is established by the traditional methods, the problems such as cable laying face difficult and high maintenance cost will appear. The wireless monitoring system which is built by the 3G networks that has the advantage of high transmission rate will be used widely.
Firstly, the comparison of 3G networks and the compression of video algorithms make us choose the China Unicorn's WCDMA network and the H.264 network algorithm which is best for the network transmission. The video signal compressed by the H.264 algorithm appears good transmission efficiency with the support of WCDMA, Which is proved by practice. The terminal in WCDMA does not have the public IP address, so that the monitoring center can not access to the terminal device. Building the VPN between the monitoring center and the front-end equipment will solve this problem and protect the network security. This CBM system consists of front-end video capture devices, video servers,3G routers, and center software. The full-featured video surveillance software is written in C#. Finally, an image storage strategy using the frame difference method is presented to save the system's memory resources. Whether there is a change of scene is determined by the gray value of the monitor pictures at different times. Practice has proved that this strategy will greatly reduce the system memory storage space and improve the efficiency of the system.
With the development of the 3G network's high-speed data transfer rate, this system will meet the needs of many applications.
引文
[1]宋衍茹,李云海.油田视频监控系统的现状分析及建议[J].油气田地面工程,2008,27(11)：53-54.
[2]杨庆.安全监控系统在长输管线中的应用[J].油气田地面工程,2009,28(8)：77-78.
[3]党进,高湘.工业视频监控及周界报警系统在王家沟油库中的应用[J].油气田地面工程,2010,29(9)：64-65.
[4]李佐儒.分布式数字监控系统及其在安全生产管理中的应用[D].成都：四川大学,2003
[5]San Murugesan, Murali Raman.3G Mobile Multimedia Services (MMS) Utilization in Indonesia:an Exploratory Research[C].2010 IEEE International Symposium on Technology and Society.2010.
[6]李爱民.地铁列车视频监控系统的研究与实现[D].广州：华南理工大学,2006
[7]曹贝贞,李志康,薛松.基于无线技术的数字视频监控系统[J].计算机工程,2007,1：74.77.
[8]Poovendren Govender, Sarel Roets. A Self Optimising Algorithm for WCDMA Neighbour Lists using Fuzzy Logic[C]. Second International Conference on Computational Intelligence.2009.
[9]郑宇晟,梁雄健.中国移动通信企业定价发展及在3G中的策略[J].移动通信,2006(1)：49-51.
[10]赵胜男.3G无线视频监控业务发展状况及策略分析[J].电信科学,2010,6：155.
[11]吴为刚,傅海.HSUPA打造3G信息高速公路[J].电信技术,2009,21(7)：42-44.
[12]梁笃国.对网络视频监控市场和技术发展的思考[J].电信技术,2009,10(12)：50.
[13]杨志伟,冯宗哲,郭宝龙.实时视频网络传输系统实现技术[J].电讯技术,2007,4：61.
[14]WIEGAND T, SCHWARZ H, JOCH A. Rate-constrained coder control and comparison of video coding standards[J]. IEEE Trans on Circuits and Systems for Video Technology,2003,3(7):688.
[15]JIANGM Q, LNGN. On enhancing H.264/AVC video rate control by PSNR-based frame complexity estimation[J]. IEEE Trans Con-sumer Electronics,2005,51(1):281.
[16]陈刚,杨华舒,刘海波.3G无线网络视频监控系统在水利工程中应用[J].人民黄河,2010,3(32)：98.
[17]何浩,王玲,马文科.基于H.264无线网络视频监控系统的设计[J].电视技术,2008,10：212.
[18]赵阿群,吉逸,顾冠群.支持VPN的隧道技术研究[J].通信学报,2006,6(21)：86.
[19]侯小东.金融行业的VPN解决方案[J].计算机安全,2004.
[20]王军,许建龙,孙树森.视频监控系统没计与实现[J].浙江大学学报.2008,25(3)：75.
[21]张伟男,唐伦,陈前斌.基于3G传输的视频监控系统的后台设计[J].电视技术,2008,32(11)：56-60.
[22]李小三.海底观测网络摄像系统设计与实现[J].杭州：浙江大学,2011.
[23]郑阿奇,梁敬东.C#实用教程[M].北京：电子工业出版社,2008.
[24]赵春江.C#数字图像处理算法典型实例[M].北京：人民邮电出版社,2009.
[25]丁贵广,计文平,郭宝龙.Visual C++数字图像编码[M].北京：机械工业出版社.2006.
[26]张鸷.网络视频监控软件系统的设计与实现[D].大连：大连理工大学电信学院,2009.
[27]陆其明.DirectShow开发指南[M].北京：清华大学出版社,2003.
[28]孙凤杰,崔维新,张晋报.远程数字视频监控与图像识别技术在电力系统中的应用[J].电网技术,2005,5(29)：81-82.
[29]Chen Lifen, Liao Hym, Lin Jc. A new LDA-basod face recognition system which can solve the small sample size problem[J]. PaRem Rccognition,2000,33(10):1713-1726.
[30]刘桂阳,史国滨,于成江.利用ACCESS数据库存储图片方法研究[J].黑龙江八一农垦大学学报,2004,16(4)：80-81.
[31]杨自勇.基于Web的机舱监测系统研究[D].大连：大连海事大学,2005.
[32]周禄.智能视频监控中运动目标识别技术的研究[D].成都：成都理工大学,2009.
[33]胡越.基于LCOS的激光投影仪系统的显示图像均匀度分析调试[D].上海：华东师范大学,2010.
[34]洪子泉,杨静宇.用于图像识别的图像代数特征抽取[J].自动化学报,1992,8(2)：238.
[35]屠添翼,石跃祥.视频监控系统中的图像采集和视频有效存储[J].计算机应用研究,2005,8：241.