基于GIS的西双版纳边境地区防疫视频监控点部署方法  

GIS-based study on the deployment of video monitoring points for epidemic prevention in the Xishuangbanna border area

作　　者：李益敏[1,2] 杨一铭 赵志芳 吴博闻[1] LI Yimin;YANG Yiming;ZHAO Zhifang;WU Bowen(College of Earth Science,Yunnan University,Kunming 650500,China;Yunnan University Research Center of Domestic High-Resolution Satellite Remote Sensing Geological Engineering,Kunming 650500,China;Key Laboratory of Sanjiang Metallogeny and Resources Exploration,Ministry of Natural Resources,Kunming 650500,China)

机构地区：[1]云南大学地球科学学院,昆明650500 [2]云南省高校国产高分卫星遥感地质工程研究中心,昆明650500 [3]自然资源部三江成矿作用及资源勘查利用重点实验室,昆明650500

出　　处：《自然资源遥感》2022年第4期194-202,共9页Remote Sensing for Natural Resources

基　　金：云南省科技厅-云南大学联合基金重点项目“‘天空地’协同的高山峡谷区重大地质灾害隐患识别监测预警研究”(编号:2019FY003017);中国地质调查局地质调查项目“重要区域地质灾害监测评价与综合遥感地质调查”(编号:DD20221824)共同资助。

摘　　要：在边境地区部署防疫视频监控点,是应对突发事件的重要举措,对区域性公共卫生安全有着重要意义。过去,视频监控点的部署多关注城市,鲜有研究结合边境地区特点、突发事件应对需求,开展视频监控点部署方法研究。本研究以西双版纳州为例,构建了边境地区防疫视频监控点部署方法框架,选取监控点布置适宜性、限制性因子多轮选址监控点,并在监控效能低的区域,合理增加监控点,最终得到西双版纳州防疫监控点适宜部署地。结果表明:研究得到的防疫视频监控部署点可实现对西双版纳州边境内侧5 km范围内93.3%面积的观测,可较全面地掌握边境人员流动信息。研究提出的边境防疫视频监控点部署方法相对传统的单维度适宜性选址方法、数学建模选址方法和算法选址方法,更贴合边境地区实际,可发挥监控点部署的整体协调水平。同时规避传统方法应用复杂等问题。本研究提出的防疫视频监控点的选址方法,为当前边境地区的新冠防疫工作提供了理论参考与技术支持,从而确保区域公共卫生安全和国家可持续发展。The deployment of video monitoring points for epidemic prevention in border areas is an important measure to deal with emergencies and has great significance for regional public health security.The deployment of video monitoring points mainly focused on cities in the past.Few studies concerned the deployment of video monitoring points based on the characteristics of border areas and emergency response needs.This study constructed a framework for the deployment of video monitoring points for epidemic prevention in the border area of Xishuangbanna Dai Autonomous Prefecture.The suitability and limiting factors of monitoring points were determined for the multi-round selection of monitoring points.More monitoring points were deployed properly in areas with low monitoring efficiency.Finally,the appropriate deployment sites for epidemic prevention monitoring points in Xishuangbanna were determined.The results are as follows.With the video monitoring points for epidemic prevention determined in this study,93.3% of the area within 5 km of the Xishuangbanna border can be observed.Thus,information on people flow at the border can be comprehensively obtained.Compared with the conventional site selection methods using single-dimensional suitability,mathematical modeling,and algorithms,the proposed deployment method of video monitoring points for border epidemic prevention is more suitable for the actual situation of border areas and can give full play to the overall coordination level of the deployment of monitoring points.Besides,this proposed method avoids the complex application of conventional methods.Therefore,the site selection method of video monitoring points for epidemic prevention proposed in this study provides theoretical reference and technical support for current COVID-19 prevention in border areas,so as to ensure regional public health security and national sustainable development.

关 键 词：地理信息系统 视频监控点 选址方法 可视域分析 边境 

分 类 号：TP79[自动化与计算机技术—检测技术与自动化装置]