基于“云-管-边-端”物联网架构的碳排放监测

邢方圆; 贺诗波; 孙铭阳; 陈积明

doi:10.11959/j.issn.2096-3750.2022.00281

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基于“云-管-边-端”物联网架构的碳排放监测

理论与技术 | 更新时间：2024-08-16

- 基于“云-管-边-端”物联网架构的碳排放监测
- Carbon emission monitoring based on internet of things with cloud-tube-edge-end structure
- 物联网学报 2022年6卷第4期页码：53-64
- 作者机构：
  
  1. 东南大学网络空间安全学院，江苏南京 211189
  2. 浙江大学控制科学与工程学院，浙江杭州 310027
- 作者简介：
  
  [ "邢方圆（1991- ），女，博士，东南大学副研究员，主要研究方向为物联网及无线通信网络" ]
  [ "贺诗波（1983- ），男，博士，浙江大学教授，主要研究方向为工业物联网、大数据网络科学、人工智能" ]
  [ "孙铭阳（1988- ），男，博士，浙江大学研究员，主要研究方向为低碳电力系统智能优化与决策、人工智能系统安全与隐私保护" ]
  [ "陈积明（1978- ），男，博士，浙江大学教授，主要研究方向为网络优化与控制、网络系统安全、工业大数据与物联网" ]
- 基金信息：
  
  国家自然科学基金资助项目;The National Natural Science Foundation of China(U1909207);国家自然科学基金资助项目;The National Natural Science Foundation of China(U20A20159);国家自然科学基金资助项目;The National Natural Science Foundation of China(62103371)
- DOI：10.11959/j.issn.2096-3750.2022.00281
  中图分类号： TP393
- 纸质出版日期：2022-12-30，
  
  网络出版日期：2022-12，
- 稿件说明：
移动端阅览
邢方圆, 贺诗波, 孙铭阳, 等. 基于“云-管-边-端”物联网架构的碳排放监测[J]. 物联网学报, 2022,6(4):53-64.

FANGYUAN XING, SHIBO HE, MINGYANG SUN, et al. Carbon emission monitoring based on internet of things with cloud-tube-edge-end structure. [J]. Chinese journal on internet of things, 2022, 6(4): 53-64.
邢方圆, 贺诗波, 孙铭阳, 等. 基于“云-管-边-端”物联网架构的碳排放监测[J]. 物联网学报, 2022,6(4):53-64. DOI： 10.11959/j.issn.2096-3750.2022.00281.

FANGYUAN XING, SHIBO HE, MINGYANG SUN, et al. Carbon emission monitoring based on internet of things with cloud-tube-edge-end structure. [J]. Chinese journal on internet of things, 2022, 6(4): 53-64. DOI： 10.11959/j.issn.2096-3750.2022.00281.

摘要

近年来，我国积极参与全球气候治理进程。碳排放的精准、快速与可靠监测是实现碳排放态势感知、整体布局优化的核心基础，目前该方向的研究仍缺乏系统性梳理。首先，调研了碳排放监测的发展进程，归纳了国内外的现行标准。然后，分别探究了基于终端设备与基于物联网的碳排放监测方法，总结出基于物联网的监测方法具有结构清晰、设计灵活、传输可靠等优势。最后，基于“云-管-边-端”物联网架构提出一种工业碳排放监测体系，并总结了实现“云-管-边-端”4 个方面的潜在关键技术，旨在对未来碳排放监测的相关研究提供一定参考。

Abstract

In recent years

China has participated in the global climate governance with a positive stance.The accurate

rapid

and reliable monitoring is fundamental for the situation awareness and layout optimization of the carbon emission.However

the state-of-the-art review with systematic studies of this topic has hardly been identified.The development process and the existing standards of carbon emission monitoring were investigated.The terminal equipment-based methods and the internet of things (IoT)-based applications for carbon emission monitoring were explored

and the IoT-based methods were concluded which hold the advantages including clear structure

flexible design

and reliable transmission.Based on the IoT

an industrial carbon emission monitoring method using the “cloud-tube-edge-end” IoT structure was established.The enabling technologies that can implement the functions of the “cloud-tube-edge-end” were summarized

which are expected to provide guidance for future carbon emission monitoring.

关键词

物联网碳排放云-管-边-端实时监测

Keywords

IoTcarbon emissioncloud-tube-edge-endreal-time monitoring

references

潘晓滨, 朱旭 . 我国碳排放许可制的必要性分析[J]. 资源节约与环保, 2021(1): 144-145.

PAN X B, ZHU X . Analysis on the necessity of carbon emission permit system in China[J]. Resources Economization ＆ Environmental Protection, 2021(1): 144-145.

刘佳, 余星, 鞠学泉 . 关于建立上海市碳排放监测、报告体系的设想[J]. 上海节能, 2014(2): 12-18.

LIU J, YU X, JU X Q . Conceiving of Shanghai's building carbon emission monitoring and reporting system[J]. Shanghai Energy Conservation, 2014(2): 12-18.

任亚运, 傅京燕 . 碳交易的减排及绿色发展效应研究[J]. 中国人口·资源与环境, 2019,29(5): 11-20.

REN Y Y, FU J Y . Research on the effect of carbon emissions trading on emission reduction and green development[J]. China Population,Resources and Environment, 2019,29(5): 11-20.

李鹏, 吴文昊, 郭伟 . 连续监测方法在全国碳市场应用的挑战与对策[J]. 环境经济研究, 2021,6(1): 77-92.

LI P, WU W H, GUO W . The challenges and recommendations of application of the measurement-based monitoring methodology in national carbon market[J]. Journal of Environmental Economics, 2021,6(1): 77-92.

US EPA. Mandatory reporting of greenhouse gases final rule[R]. 2009.

孙天晴, 刘克, 杨泽慧 ,等. 国外碳排放MRV体系分析及对我国的借鉴研究[J]. 中国人口·资源与环境, 2016,26(S1): 17-21.

SUN T Q, LIU K, YANG Z H ,et al. Analysis and reference of foreign carbon emissions MRV system to China[J]. China Population,Re-sources and Environment, 2016,26(S1): 17-21.

董文福, 刘泓汐, 王秀琴 ,等. 美国温室气体强制报告制度综述[J]. 中国环境监测, 2011,27(2): 18-22.

DONG W F, LIU H X, WANG X Q ,et al. Review of mandatory re-porting of greenhouse gases in America[J]. Environmental Monitoring in China, 2011,27(2): 18-22.

周颖, 张宏伟, 刘兰翠 ,等. 欧盟和美国温室气体排放监测对中国的借鉴意义[J]. 中国环境监测, 2013,29(5): 1-5.

ZHOU Y, ZHANG H W, LIU L C ,et al. The green house gas monitor-ing in EU and America and their significance as reference to China[J]. Environmental Monitoring in China, 2013,29(5): 1-5.

滕飞, 冯相昭 . 日本碳市场测量、报告与核查系统建设的经验及启示[J]. 环境保护, 2012,40(10): 72-74.

TENG F, FENG X Z . The experience and enlightenment of Japan's carbon market measurement,reporting and verification system con-struction[J]. Environmental Protection, 2012,40(10): 72-74.

全国碳排放管理标准化技术委员会. 温室气体排放核算与报告要求:煤炭生产企业:GB/T 32151.11-2018[S]. 2018.

National Technical Committee on Carbon Emission Management of Standardization Administration. GHG emission accounting and reporting requirements:coal producing enterprises:GB/T 32151.11- 2018[S]. 2018.

全国碳排放管理标准化技术委员会. 温室气体排放核算与报告要求：纺织服装企业:GB/T 32151.12-2018[S]. 2015.

National Technical Committee on Carbon Emission Management of Standardization Administration. GHG emission accounting and re-porting requirements:textile and garment enterprise:GB/T 32151.12-2018[S]. 2018.

高春艳, 牛建广, 王斐然 . 钢材生产阶段碳排放核算方法和碳排放因子研究综述[J]. 当代经济管理, 2021,43(8): 33-38.

GAO C Y, NIU J G, WANG F R . Review of carbon emission account-ing methods and carbon emission factor in steel production[J]. Con-temporary Economic Management, 2021,43(8): 33-38.

余碧莹, 赵光普, 安润颖 ,等. 碳中和目标下中国碳排放路径研究[J]. 北京理工大学学报(社会科学版), 2021,23(2): 17-24.

YU B Y, ZHAO G P, AN R Y ,et al. Research on China's CO2emission pathway under carbon neutral target[J]. Journal of Beijing Institute of Technology (Social Sciences Edition), 2021,23(2): 17-24.

田文爽, 李欣, 白鹏翔 . 流程模拟技术在合成氨工业CO2排放核算中的应用[J]. 石油石化绿色低碳, 2020,5(6): 69-74.

TIAN W S, LI X, BAI P X . Application of process simulation in CO2 emission accounting of ammonia industry[J]. Green Petroleum ＆ Pe-trochemicals, 2020,5(6): 69-74.

姚聪林, 朱红春, 姜周华 ,等. 全废钢连续加料电弧炉短流程碳排放计算及分析[J]. 材料与冶金学报, 2020,19(4): 259-264.

YAO C L, ZHU H C, JIANG Z H ,et al. CO2emissions calculation and analysis of electric arc furnace with continuous feeding of only scrap[J]. Journal of Materials and Metallurgy, 2020,19(4): 259-264.

黄小菲 . 能源产业结构优化研究[J]. 产业创新研究, 2020(22): 76-78.

HUANG X F . Research on energy industry structure optimization[J]. Industrial Innovation, 2020(22): 76-78.

王霂晗, 朱林, 张晶杰 ,等. 欧盟火电厂二氧化碳排放在线监测系统质量保证体系对中国的启示[J]. 中国电力, 2020,53(3): 154-158,176.

WANGM H, ZHU L, ZHANG J J ,et al. Practice of quality assurance system of carbon dioxide emission on-line monitoring system in the European union[J]. Electric Power, 2020,53(3): 154-158,176.

王小龙, 王强, 王小峰 ,等. 燃煤电厂关键排放因子对碳排放量影响研究[J]. 山东化工, 2019,48(23): 239-243.

WANG X L, WANG Q, WANG X F ,et al. A study on the influence of key emission factors of coal-fired power plant on carbon emission[J]. Shandong Chemical Industry, 2019,48(23): 239-243.

王芹, 冯景春, 冯开 . 气相色谱法及其应用[J]. 广东化工, 2014,41(12): 202,208.

WANG Q, FENG J C, FENG K . Gas chromatography and its applica-tion[J]. Guangdong Chemical Industry, 2014,41(12): 202,208.

袁超, 何保山, 韩小贤 ,等. 二氧化碳气体检测研究进展[J]. 江西农业学报, 2009,21(6): 133-136,140.

YUAN C, HE B S, HAN X X ,et al. Research advance in detection of carbon dioxide[J]. Acta Agriculturae Jiangxi, 2009,21(6): 133-136,140.

徐寅 . 气相色谱法在大气污染监测中的运用[J]. 绿色科技, 2017(8): 89-90.

XU Y . Application of gas chromatography in air pollution monitor-ing[J]. Journal of Green Science and Technology, 2017(8): 89-90.

刘顺, 张慧丽 . 一氧化碳非分散红外法性能指标确定方法的探讨[J]. 环境保护与循环经济, 2019,39(2): 74-76.

LIU S, ZHANG H L . Discussion on determination method of perfor-mance index of carbon monoxide nondispersive infrared method[J]. Environmental Protection and Circular Economy, 2019,39(2): 74-76.

袁博, 袁宇鹏, 张祖伟 ,等. 基于差分吸收检测技术的非分散红外CO2呼吸气体传感器[J]. 重庆邮电大学学报(自然科学版), 2021,33(1): 118-125.

YUAN B, YUAN Y P, ZHANG Z W ,et al. Non-dispersive infrared CO2breathing gas sensor based on differential absorption detection technology[J]. Journal of Chongqing University of Posts and Tele-communications (Natural Science Edition), 2021,33(1): 118-125.

周阳, 尹强, 毛沅文 ,等. 傅里叶变换红外光谱法测定食品添加剂二氧化碳中的二氧化氮[J]. 化学分析计量, 2020,29(S1): 27-30.

ZHOU Y, YIN Q, MAOY W ,et al. Determination of nitrogen dioxide in food additive carbon dioxide by Fourier transform infrared spec-troscopy[J]. Chemical Analysis and Meterage, 2020,29(S1): 27-30.

国家质量监督检验检疫总局,中国国家标准化管理委员会. 大气二氧化碳(CO2)光腔衰荡光谱观测系统:GB/T 34415—2017[S]. 2017.

General Administration of Quality Supervision,Inspection and Qua-rantine of the People's Republic of China,Standardization Administra-tion of the People's Republic of China. Cavity ring-down spectroscopy system for measurement of atmospheric carbon dioxide:GB/T 34415—2017[S]. 2017.

王星, 周泽义 . 基于光腔衰荡光谱法测量CO2结果的不确定度分析[J]. 计量技术, 2016(11): 3-6.

WANG X, ZHOU Z Y . Uncertainty analysis of CO2 measurement results based on optical cavity ring-down spectroscopy[J]. Measure-ment Technique, 2016(11): 3-6.

李青原, 李静, 魏鑫 ,等. 基于光腔衰荡光谱的便携式呼气异戊二烯分析仪性能评估[J]. 光谱学与光谱分析, 2021,41(8): 2415-2419.

LI Q Y, LI J, WEI X ,et al. Performance evaluation of a portable breath isoprene analyzer based on cavity ringdown spectroscopy[J]. Spec-troscopy and Spectral Analysis, 2021,41(8): 2415-2419.

国家质量监督检验检疫总局,中国国家标准化管理委员会. 温室气体二氧化碳测量离轴积分腔输出光谱法:GB/T 34286—2017[S]. 2017.

General Administration of Quality Supervision,Inspection and Qua-rantine of the People's Republic of China,Standardization Administra-tion of the People's Republic of China. Greenhouse gas—Carbon dio-xide measurement—Off-axis integrated cavity output spectroscopy method:GB/T 34286—2017[S]. 2017.

董洋, 王静静, 周心禺 ,等. 基于离轴积分腔输出光谱的深海可燃冰探测技术[J]. 中国激光, 2020,47(8): 0811003.

DONG Y, WANG J J, ZHOU X Y ,et al. Detection of methane hydrate in deep sea based on off-axis integrated cavity output spectroscopy[J]. Chinese Journal of Lasers, 2020,47(8): 0811003.

周子昕, 黄印博, 卢兴吉 ,等. 再入射离轴积分腔输出光谱干涉噪声处理方法[J]. 量子电子学报, 2019,36(6): 651-657.

ZHOU Z X, HUANG Y B, LU X J ,et al. Method of suppressing in-terference noise for re-injection off-axis integrated cavity output spec-troscopy[J]. Chinese Journal of Quantum Electronics, 2019,36(6): 651-657.

宋雪梅, 刘建国, 张玉钧 ,等. 可调谐半导体激光吸收光谱法监测二氧化碳的通量[J]. 光谱学与光谱分析, 2011,31(1): 184-187.

SONG X M, LIU J G, ZHANG Y J ,et al. Monitoring the flux of car-bon dioxide gas with tunable diode laser absorption spectroscopy[J]. Spectroscopy and Spectral Analysis, 2011,31(1): 184-187.

祝仰坤 . 波长调制吸收光谱的关键技术研究[D]. 南京:东南大学, 2019.

ZHU Y K . Research on key technology of wavelength modulation spectroscopy[D]. Nanjing:Southeast University, 2019.

朴植 . 基于STM32的物联网通用中继节点的设计与实现[D]. 成都:电子科技大学, 2017.

PIAO Z . The design and implementation of IoT gateway based on STM32[D]. Chengdu:University of Electronic Science and Technology of China, 2017.

毛明健 . 环境监测物联网关键技术研究[D]. 重庆:重庆大学, 2019.

MAO M J . Research on key technologies of internet of things for environment monitoring[D]. Chongqing:Chongqing University, 2019.

LAZARESCU M T . Design of a WSN platform for long-term environmental monitoring for IoT applications[J]. IEEE Journal on Emerging and Selected Topics in Circuits and Systems, 2013,3(1): 45-54.

WU F, RÜDIGER C, YUCEM R . Real-time performance of a self-powered environmental IoT sensor network system[J]. Sensors (Basel,Switzerland), 2017,17(2): 282.

TANG J, DONG T T, LI L H ,et al. Intelligent monitoring system based on internet of things[J]. Wireless Personal Communications, 2018,102(2): 1521-1537.

FUERTES W, CARRERA D, VILLACÍS C ,et al. Distributed system as internet of things for a new low-cost,air pollution wireless monitoring on real time[C]// Proceedings of 2015 IEEE/ACM 19th International Symposium on Distributed Simulation and Real Time Applications (DS-RT). Piscataway:IEEE Press, 2015: 58-67.

IBRAHIM M, ELGAMRI A, BABIKER S ,et al. Internet of things based smart environmental monitoring using the Raspberry-Pi computer[C]// Proceedings of 2015 Fifth International Conference on Digital Information Processing and Communications (ICDIPC). Piscataway:IEEE Press, 2015: 159-164.

段仲渊 . 城市交通排放监测平台建设与应用[J]. 交通与运输, 2019,32(S1): 154-159.

DUAN Z Y . Construction and application of urban traffic emission monitoring platform[J]. Traffic ＆ Transportation, 2019,32(S1): 154-159.

徐巧年 . 基于物联网的肉羊养殖基地环境监测系统设计[J]. 信息技术与信息化, 2020(9): 34-36.

XU Q N . Design of environmental monitoring system for Mutton sheep breeding base based on internet of things[J]. Information Tech-nology and Informatization, 2020(9): 34-36.

AL-ZINATI M, ALRASHDAN R, AL-DUWAIRI B, ,et al. A re-organizing bio surveillance framework based on fog and mobile edge computing[J]. Multimedia Tools and Applications, 2021,80(11): 16805-16825.

林彦廷 . 基于无线传感器技术的水环境监测系统设计与实现[D]. 长沙：湖南大学, 2018.

LIN Y T . Design and implementation of water environment monitoring system based on wireless sensor technology[D]. Changsha:Hunan University, 2018.

周凌晞, 刘立新, 张晓春 ,等. 我国温室气体本底浓度网络化观测的初步结果[J]. 应用气象学报, 2008,19(6): 641-645.

ZHOU L X, LIU L X, ZHANG X C ,et al. Preliminary results on network observation of greenhouse gases at China GAW stations[J]. Journal of Applied Meteorological Science, 2008,19(6): 641-645.

中国电力企业联合会. 中国电力行业年度发展报告 2016[J]. 电器工业, 2016(9): 18-23.

China Electricity Council. Annual development report of power indus-try in China[J]. China Electrical Equipment Industry, 2016(9): 18-23.

LAMAN , HAUGEN . Implementing OPC-UA services for industrial cyber-physical systems in service-oriented architecture[C]// Proceedings of IECON 2019 - 45th Annual Conference of the IEEE Industrial Electronics Society. Piscataway:IEEE Press, 2019: 5486-5492.

LEE Y K, LEE S J, LEE H ,et al. Implementation of distributed smart factory platform based on edge computing and OPC UA[C]// Proceedings of IECON 2019 - 45th Annual Conference of the IEEE Industrial Electronics Society. Piscataway:IEEE Press, 2019: 4235-4239.

GROßMANN D, BREGULLA M, BANERJEE S ,et al. OPC UA server aggregation—The foundation for an Internet of portals[C]// Proceedings of the 2014 IEEE Emerging Technology and Factory Automation. Piscataway:IEEE Press, 2014: 1-6.

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