地质灾害无人机调查数据管理云平台建设
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摘要
随着移动通信、无人机、计算机网络等技术的快速发展,野外数据采集PAD、无人机遥感、云计算等新技术、新方法在地质灾害调查中被广泛应用。然而,在实际应用过程中也出现一些新的问题,如大数据传输与存储效率低,高精度海量遥感影像流程化处理过程繁琐,三维模型生成及可视化效果不佳等。针对上述问题,本文基于云数据库、云服务器等大数据存储及处理技术构建地质灾害无人机调查数据管理云平台,开发适用于大疆系列微型无人机的航线控制系统,实现无人机高分遥感海量数据全流程化一键式处理,快速生成地质灾害体高精度遥感影像及三维模型,并通过云服务器自动发布并提供在线可视化服务,本文研究成果极大地提高了地质灾害调查工作的效率和精度。
With the rapid development of mobile communication,unmanned aerial vehicles(UAV),computer networks and other information technologies,new methods,such as field data acquisition PAD,UAV remote sensing and cloud computing are widely used in geological hazard investigation.However,there are some new problems encountered in the practical application,such as inefficiency of massive data transmission and storage,cumbersome processing for high-precision remote sensing image,ineffective generation and display of three-dimensional model.In view of the above problems,this paper elaborates construction of cloud platform,which is based on massive data storage and processing technology,such as cloud database and cloud server,for geological hazards' data from UAV survey.A route control system for Dajiang micro-UAV was also developed.The platform enable key processing of massive high-resolution RS data and rapid generation of high-resolution RS image,as well as 3D model.Online visualization service is provided by the cloud automatically-publishing server.This platform greatly improves the efficiency and precision of the geological hazard investigation work.
With the rapid development of mobile communication,unmanned aerial vehicles(UAV),computer networks and other information technologies,new methods,such as field data acquisition PAD,UAV remote sensing and cloud computing are widely used in geological hazard investigation.However,there are some new problems encountered in the practical application,such as inefficiency of massive data transmission and storage,cumbersome processing for high-precision remote sensing image,ineffective generation and display of three-dimensional model.In view of the above problems,this paper elaborates construction of cloud platform,which is based on massive data storage and processing technology,such as cloud database and cloud server,for geological hazards' data from UAV survey.A route control system for Dajiang micro-UAV was also developed.The platform enable key processing of massive high-resolution RS data and rapid generation of high-resolution RS image,as well as 3D model.Online visualization service is provided by the cloud automatically-publishing server.This platform greatly improves the efficiency and precision of the geological hazard investigation work.
引文
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[14]韩冰.雅安地区滑坡灾害监测预警研究[D].北京:中国地质大学,2016:59-61.HAN Bing. Research on landslide monitoring andearly warning in Ya'an Area[D]. Beijing:ChinaUniversity of Geosciences,2016:59-61.
[2]毕凯,李英成,丁晓波,等.轻小型无人机航摄技术现状及发展趋势[J].测绘通报,2015,(3):27-31.BI Kai,LI Yingcheng,DING Xiaobo,et al. Aerialphotogrammetric technology of light small UAV:statusand trend of development[J]. Bulletin of Surveyingand Mapping,2015,(3):27-31.
[3]臧克,孙永华,李京,等.微型无人机遥感系统在汶川地震中的应用[J].自然灾害学报,2010,19(3):162-166.ZANG Ke,SUN Yonghua,LI Jing,et al. Application ofminiature unmanned aerial vehicle remote sensingsystem to Wenchuan earthquake[J]. Journal ofNatural Disasters,2010,19(3):162-166.
[4]崔红霞,林宗坚,孙杰.无人机遥感监测系统研究[J].测绘通报,2005(5):11-14.CUI Hongxia,LIN Zongjian,SUN Jie. Research onUAV remote sensing system[J]. Bulletin of Surveyingand Mapping,2005(5):11-14.
[5]李德仁,李明.无人机遥感系统的研究进展与应用前景[J].武汉大学学报(信息科学版),2014,39(5):505-513.LI Deren,LI Ming. Research advance and applicationprospect of unmanned aerial vehicle remote sensingsystem[J]. Geomatics and Information Science ofWuhan University,2014,39(5):505-513.
[6]陈康,郑纬民.云计算:系统实例与研究现状[J].软件学报,2009,20(5):1337-1348.CHEN Kang, ZHENG Weimin. Cloud computing:System instances and current research[J]. Journal ofSoftware,2009,20(5):1337-1348.
[7]李乔,郑啸.云计算研究现状综述[J].计算机科学,2011,38(4):31-37.LI Qiao,ZHENG Xiao. Research survey of cloudcomputing[J]. Computer Science,2011,38(4):31-37.
[8]李清泉,李德仁.大数据GIS[J].武汉大学学报(信息科学版),2014,39(6):641-644.LI Qingquan,LIDeren. Big data GIS[J]. Geomaticsand Information Science of Wuhan University,2014,39(6):641-644.
[9]肖建华,王厚之,彭清山,等.地理时空大数据管理与应用云平台建设[J].测绘通报2016(4):38-42.XIAO Jianhua,WANG Houzhi,PENG Qingshan,etal. Research on the construction of cloud platform forthe spatio-temporal big data management andapplication[J]. Bulletin of Surveying and Mapping,2016(4):38-42.
[10]陈祖煜,杨峰,赵宇飞,等.水利工程建设管理云平台建设与工程应用[J].水利水电技术,2017,48(1):1-6.CHEN Zuyu,YANG Feng,ZHAO Yufei,et al.Construction and engineering application of cloudplatform for construction management of waterresources project[J]. Water Resources andHydropower Engineering,2017,48(1):1-6.
[11]方巍,文学志,潘吴斌,等.云计算:概念、技术及应用研究综述[J].南京信息工程大学学报(自然科学版),2012,4(4):351-361.FANG Wei,WEN Xuezhi,PAN Wubin,et al. Cloudcomputing conceptions, key technologies andapplication[J]. Journal of Nanjing University ofInformation Science&Technology(Natural ScienceEdition),2012,4(4):351-361.
[12]王佳隽,吕智慧,吴杰,等.云计算技术发展分析及其应用探讨[J].计算机工程与设计,2010,31(20):4404-4409.WANG Jiajun,LYU Zhihui,WU Jie,et al. Cloudcomputing technology development analysis andapplications discussion[J]. Computer Engineeringand Design,2010,31(20):4404-4409.
[13]戴元顺.云计算技术简述[J].信息通信技术,2010(2):29-35.DAI Yuanshun. The brief review of cloud computingtechnologies[J]. Information and CommunicationsTechnologies,2010(2):29-35.
[14]韩冰.雅安地区滑坡灾害监测预警研究[D].北京:中国地质大学,2016:59-61.HAN Bing. Research on landslide monitoring andearly warning in Ya'an Area[D]. Beijing:ChinaUniversity of Geosciences,2016:59-61.
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