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雾霾分布视觉传感联动联控系统技术实现 被引量:3

The united control system of fog and haze distribution based on vision sensing
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摘要 雾霾区域动态分布可反映污染源变化分布、道路交通状况,涉及民生健康与行车安全.目前点站式能见度、PM2.5监测仪器价格昂贵,且取样空间有限,使得监测结果过于稀疏,难以覆盖路段、区域范围.为此,在现有的省域环境监测中心、交通信息中心两系统的基础上,提出了雾霾视觉传感区域分布预警安全联动联控系统,基于信息汇聚立体网络架构,构建大数据中心为各应用系统提供统一信息服务接口,解决异构系统兼容及信息共享问题;基于大量路网监控视频资源,研究视频能见度检测模型,分析能见度与颗粒物的相关性,进而揭示能见度区域表象数据与PM2.5的内在关系,实现雾霾高危区域监测预警及其辅助决策.用于交通安全的实验系统已在宁淮高速南段应用,对老山丘陵雾霾多发地段的行车安全起了重要作用. The dynamic regional distribution of fog and haze reflects pollution source distribution and road traffic situation.It is related to people's health and driving safety.But the current instruments on visibility and PM2.5 are expensive and the measurement range is so limited.So it's too costly to increase monitoring points to cover the whole region which makes the sampling data is too sparse to form the regional distribution of fog and haze.Therefore,this paper designs the united control system of fog and haze distribution and security early-warning by means of vision sensing,on the basis of the existing environment monitoring system and the intelligent traffic system(ITS).A new three-dimensional information aggregation network framework is introduced and the massive data center is construction to provide a kind of unified information service interface for the compatibility,information share and interactive among the heterogeneous application systems.The distribution of visibility is obtained based on the camera calibra-tion method and video visibility detection model,taking advantage of a large number of video surveillance of the road network.The intrinsic relationship reveals the regional distribution of PM2.5 with the visibility distribution data through the analysis of correlation on the visibility and particles.The paper also descripts the data processing of the information fusion center in detail and gives some early-warning or auxiliary decision advice for fog and haze monitoring.The experimental system for traffic safety has been applied to the Ning Huai Expressway southern section and plays an important role in the haze black spot of Laoshan hills.
出处 《南京大学学报(自然科学版)》 CAS CSCD 北大核心 2015年第2期234-242,共9页 Journal of Nanjing University(Natural Science)
基金 国家自然科学青年基金(61105015) 国家科技重大专项(2011ZX03005-004-03) 国家水体污染控制与治理科技重大专项(2012ZX07506-004-003)
关键词 视觉传感 能见度检测 信息汇聚 vision sensing visibility detection information fusion
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参考文献15

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