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计算机系统应用英文版:2022,31(5):94-101
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基于分布式微服务架构的重型车污染物排放监管平台设计
(1.武汉科技大学, 武汉 430081;2.中国环境科学研究院, 北京 100012)
Design of Monitoring Platform of Heavy-duty Vehicle Pollutant Emission Based on Distributed Micro-service Architecture
(1.Wuhan University of Science and Technology, Wuhan 430081, China;2.Chinese Research Academy of Environmental Sciences, Beijing 100012, China)
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Received:July 12, 2021    Revised:August 04, 2021
中文摘要: 随着汽车尾气污染问题日益严峻, 生态环境部要求所有国六重型车安装远程排放管理车载终端以监测其尾气排放. 本文设计了一种基于分布式微服务架构的重型车污染物排放分区监管平台, 该平台采集特定区域内所有安装车载终端的重型车实时数据, 对重型车主要尾气污染物氮氧化物、颗粒物进行定量分析, 同时提出了一种判定污染物所属具体行政区的算法, 从而实现了各行政区域内重型车污染物排放总量统计和展示. 最终该平台部署于淄博市生态环境局, 运行正常且数据可靠, 为环保部门的精准监管和治理提供了有力的数据支撑.
Abstract:As the problem of vehicle exhaust pollution becomes increasingly serious, the Ministry of Ecology and Environment of the People’s Republic of China requires all China VI heavy-duty vehicles to install onboard remote emission management terminals to monitor their exhaust emissions. This study designs a zoning monitoring platform of heavy-duty vehicle pollutant emissions based on a distributed micro-service architecture. The platform collects real-time data of all the heavy-duty vehicles with onboard terminals in a designated area and quantifies the main exhaust pollutants of heavy-duty vehicles, namely nitrogen oxides and particulates. Meanwhile, an algorithm determining the specific administrative district to which a pollutant belongs is proposed to count and display the total pollutant emissions of heavy-duty vehicles in each administrative district. The platform is deployed in the Zibo Environmental Protection Bureau. Operating normally with reliable data, it has provided strong data support for the precise monitoring and governance of environmental protection departments.
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钱枫,刘梦杰,王明达,王洁,杨栋,胡蝶,夏俊,程书瑾.基于分布式微服务架构的重型车污染物排放监管平台设计.计算机系统应用,2022,31(5):94-101
QIAN Feng,LIU Meng-Jie,WANG Ming-Da,WANG Jie,YANG Dong,HU Die,XIA Jun,CHENG Shu-Jin.Design of Monitoring Platform of Heavy-duty Vehicle Pollutant Emission Based on Distributed Micro-service Architecture.COMPUTER SYSTEMS APPLICATIONS,2022,31(5):94-101