基于可视域分析的管道巡检标准点的设置方法及验证
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摘要
为了提高管道GPS巡检标准点的有效性,结合管道巡检工作的管理要求,应用地理信息系统(geographic information system,GIS)的可视域分析功能,在管道沿线三维场景环境下,对巡检点的可视域进行分析、计算和表达,从而为管道巡检标准点的设置和调整提供依据。实例应用结果表明:该方法弥补了现有移动巡检系统不能判定巡检标准点与管道路由位置关系的不足,避免了在巡检过程中巡检人员的视线因地形起伏或地物遮挡而无法进行有效巡检的弊端,提高了管道线路的巡检质量,降低了管理成本。
To improve the effectiveness of standard points for GPS pipeline inspection, viewsheds of such points were analyzed, computed and expressed under 3D simulation environment along pipeline by combing the management requirements of pipeline inspection and using the viewshed analysis function of GIS, so as to provide reference for setting and adjusting the standard points for pipeline inspection. Application results show that this technique effectively makes up the deficiency of the mobile inspection system that may not accurately determine positions between the standard inspection points and the pipeline route. Accordingly, topographic reliefs or surface features may no longer present barriers for highefficiency inspection. The technique can promote quality of pipeline inspections and also effectively reduce the management costs.
To improve the effectiveness of standard points for GPS pipeline inspection, viewsheds of such points were analyzed, computed and expressed under 3D simulation environment along pipeline by combing the management requirements of pipeline inspection and using the viewshed analysis function of GIS, so as to provide reference for setting and adjusting the standard points for pipeline inspection. Application results show that this technique effectively makes up the deficiency of the mobile inspection system that may not accurately determine positions between the standard inspection points and the pipeline route. Accordingly, topographic reliefs or surface features may no longer present barriers for highefficiency inspection. The technique can promote quality of pipeline inspections and also effectively reduce the management costs.
引文
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[2]李勇,刘甲军,叶延磊.燃气智能巡检系统的应用研究[J].测绘通报,2012(增刊1):677-679.LI Y,LIU J J,YE Y L.The application of the gas intelligence inspection system[J].Bulletin of Surveying and Mapping,2012(S1):677-679.
[3]魏东,池聪伶.三维地形可视域分析的显示技术[J].沈阳工业大学学报,2009,31(4):458-461.WEI D,CHI C L.Displaying technology of 3D terrain viewshed analysis[J].Journal of Shenyang Uiversity of Technology,2009,31(4):458-461.
[4]亢晓丽,亢晓琛.大规模DEM数据并行可视域分析算法研究[J].计算机测量与控制,2014,22(6):1970-1971.KANG X L,KANG X C.Parallel viewshed analysis on large scale DEM data[J].Computer Measurement&Control,2014,22(6):1970-1971.
[5]汤国安.我国数字高程模型与数字地形分析研究进展[J].地理学报,2014,69(9):1305-1325.TANG G A.Progress of DEM and digital terrain analysis in China[J].Acta Geographica Sinica,2014,69(9):1305-1325.
[6]张斌,张泽建,郭黎,等.基于DEM的地形可视域分析关键技术[J].计算机科学,2013,40(9):284-287.ZHANG B,ZHANG Z J,GUO L,et al.Key technologies of terrain viewshed analysis based on DEM[J].Computer Science,2013,40(9):284-287.
[7]尹长林,许文强.基于3D GIS的城市规划可视性分析模型研究[J].测绘科学,2011,36(4):142-144.YIN C L,XU W Q.Visibility analysis model of urban planning based on 3D GIS[J].Science of Surveying and Mapping,2011,36(4):142-144.
[8]吴六爱,范晓乐.基于可视域范围的行人流疏散仿真研究[J].物流科技,2015(12):17-20.WU L A,FAN X L.Simulation of pedestrian evacuation flow based on the visual field[J].Logistics Sci-Tech,2015(12):17-20.
[9]刘骝,张立强,张良,等.基于改进的LOS算法实现对复杂地形场景的可视域分析[J].中国科学,2011,41(6):675-685.LIU L,ZHANG L Q,ZHANG L,et al.An improved line-ofsight method for visibility analysis in 3D complex landscapes[J].Science China Press,2011,41(6):675-685.
[10]刘向阳,周淼,郭腾峰.公路行车视距分析与验证[J].中国公路学报,2010,23(增刊2):36-41.LIU X Y,ZHOU M,GUO T F.Analysis and verification of highway sight distance[J].China Journal of Highway and Transport,2010,23(S2):36-41.
[11]张刚,汤国安,宋效东,等.基于DEM的分布式并行通视分析算法研究[J].地理与地理信息科学,2013,29(4):81-85.ZHANG G,TANG G A,SONG X D,et al.Research on distributed parallel visibility analysis algorithm based on DEM[J].Geography and Geo-Information Science,2013,29(4):81-85.
[12]李伟,景还涛,王莉,等.森林防火监测站选址及可视域分析[J].测绘科学,2015,40(1):77-80.LI W,JING H T,WANG L,et al.Site selection of forest fire monitoring stations and visualization analysis[J].Science of Surveying and Mapping,2015,40(1):77-80.