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Vol.12,No.5                        环 境 工 程 技 术 学 报                                  第 12 卷,第 5 期
            Sep.,2022                     Journal of Environmental Engineering Technology          2022 年 9 月

            刘柏音,刘孝富,孙启宏,等.基于物联网的固定源大气污染物排放现场执法监管信息系统设计与应                       用  [J].环境工程技术学报,2022,12(5):1687-
            1694.
            LIU B Y,LIU X F,SUN Q H,et al.Design and application of on-site law enforcement and supervision information system for air pollutants emission from
            stationary sources based on IoT[J].Journal of Environmental Engineering Technology,2022,12(5):1687-1694.

                    基于物联网的固定源大气污染物排放现场执法

                                      监管信息系统设计与应用


                                             刘柏音,刘孝富 ,孙启宏,罗镭
                                                             *
                                                     中国环境科学研究院
            摘要 固定源大气环境执法工作亟需依托智能执法系统实现对企业违法排污行为精准定位以及污染物排放浓度快速监测取
            证。针对现行大气环境执法系统重管理、轻取证的普遍功能缺陷,采用物联网理念,有机组合筛选多尺度大气监测技术,依托多
            元数据传输与融合技术,实现机载、车载、便携式监测设备数据与执法系统的实时通信,通过系统数据库与内嵌分析计算模型,
            解决大气排放异常区域识别、现场大气污染物浓度快速监测执法取证、暗查式执法取证、执法流程引导、违法识别与超标判定、
            远程执法指挥等信息化智能执法功能,形成新一代软硬件结合的固定源大气污染物排放现场执法监管系统。该执法系统在钢
            铁、重金属等行业进行了大气环境执法示范,通过监测传感器物联采样,现场发现了企业排污口超标、厂界大气浓度超标、排气
            口批建一致性违规等问题,提出处罚意见并备案,显著提高了环境执法工作的执法效率与精准度。
            关键词 系统平台;环境执法;大气污染源;物联              网  (IoT)
            中图分类号:X32,X51    文章编号:1674-991X(2022)05-1687-08  doi:10.12153/j.issn.1674-991X.20210340

               Design and application of on-site law enforcement and supervision information

                   system for air pollutants emission from stationary sources based on IoT

                                                            *
                                       LIU Baiyin,  LIU Xiaofu ,  SUN Qihong,  LUO Lei
                                         Chinese Research Academy of Environmental Sciences
            Abstract It is urgent for the law enforcement of the air pollutants emissions from stationary sources to rely on an
            intelligent  law  enforcement  system  to  accurately  locate  the  illegal  emission  behavior  of  enterprises,  and  quickly
            monitor and obtain the pollutant emission concentrations as the evidence. Aiming at the common functional defects
            of the current air environment law enforcement system, known as "paying more attention to the management than
            the evidence", a new-generation intelligent law enforcement and supervision system with integrated hardware and
            software  was  put  forward.  The  concept  of  IoT  was  adopted  in  the  new  system,  combined  with  multi-scale  air
            monitoring technologies. The ability of real-time data transmission between airborne, on-board, portable monitoring
            equipment and the law enforcement system was achieved, which relied on multiple data transmission and integration
            technology.  Through  a  database  with  embedded  analysis  and  calculation  models,  intelligent  law  enforcement
            functions were realized, such as identification of areas with air pollutants emission anomalies, rapid monitoring and
            evidence  collection  of  on-site  air  pollutant  concentrations,  covert  inspection  and  evidence  collection,  law
            enforcement process guidance, recognition of law and standard violations, remote command of the law enforcement,
            etc.  Air  environment  law  enforcement  demonstration  was  carried  out  in  iron  and  steel,  heavy  metals  and  other
            industries.  Through  IoT  monitoring  sensor  sampling,  multiple  on-site  violations  were  discovered,  such  as  the
            exceeding of emission standards from outlets, excessive air pollutant concentrations at the factory boundary, and the
            inconsistency of approval and construction of exhaust outlets. Penalty opinions were put forward and filed for the
            record provided. This process significantly improved the efficiency and accuracy of environmental law enforcement.


            收稿日期:2021-07-19
            基金项目:国家重点研发计划项目(2016YFC0208206)
            作者简介:刘柏音(1984—),女,高级工程师,主要研究方向为生态环境数据挖掘与信息系统构建,liuby@craes.org.cn
            * 责任作者:刘孝富(1985—),男,正高级工程师,博士,主要研究方向为遥感与生态环境数据挖掘,liuxf@craes.org.cn
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