The invention discloses a traffic industry carbon emission high-frequency monitoring and tracing method based on multivariate big data, and relates to the technical field of traffic industry carbon emission monitoring, and the method comprises the steps: obtaining annual regional traffic industry fossil energy use data, calculating the total amount of carbon emission caused by the annual fossil energy, and calculating the total amount of carbon emission; based on the total carbon emission amount of fossil energy in the annual traffic industry and a traffic jam index carbon emission factor; annual national thermal power generation fossil energy input data and national power trans-provincial interaction data are obtained, annual regional thermal power generation carbon emission is calculated, and trans-regional carbon emission flow and traffic industry power utilization carbon emission factors considering regional power exchange are calculated; based on a traffic jam index carbon emission factor and a regional electricity utilization carbon emission factor, high-frequency monitoring is carried out on the total daily/hour-level carbon emission amount of the traffic industry, and tracing is carried out according to electric power emission or fossil energy combustion emission. According to the method, carbon responsibility sharing and implementation can be promoted, the popularization and application cost is low, the operability is high, and the time granularity is low.

    本发明公开了一种基于多元大数据的交通行业碳排放高频监测与溯源方法,涉及交通行业碳排放监测技术领域,包括获取年度区域交通行业化石能源使用数据,计算年度化石能源引致的碳排放总量,基于年度交通行业化石能源碳排放总量及交通拥堵指数碳排放因子;获取年度全国火力发电化石能源投入数据与全国电力跨省交互数据,核算年度区域火力发电碳排放,并计算考虑区域电量交换的跨区碳排放流动量与交通行业用电碳排放因子;基于交通拥堵指数碳排放因子与区域用电碳排放因子,对交通行业的日度/小时级碳排放总量进行高频监测,并依据电力排放或化石能源燃烧排放进行溯源。本发明有助于推动碳责任分担与落实,推广应用成本低、操作性强、时间颗粒度低。


    Access

    Download


    Export, share and cite



    Title :

    Traffic industry carbon emission high-frequency monitoring and tracing method based on multivariate big data


    Additional title:

    一种基于多元大数据的交通行业碳排放高频监测与溯源方法


    Contributors:
    ZHOU CHUNLI (author) / CHEN HAO (author) / TANG HUIZHEN (author) / ZHU DEYAN (author) / WANG RENHAO (author) / JIN MURONG (author) / LIN JINLIN (author) / ZHANG WENFENG (author) / TANG JIAYI (author)

    Publication date :

    2024-03-15


    Type of media :

    Patent


    Type of material :

    Electronic Resource


    Language :

    Chinese


    Classification :

    IPC:    G06F ELECTRIC DIGITAL DATA PROCESSING , Elektrische digitale Datenverarbeitung / G06Q Datenverarbeitungssysteme oder -verfahren, besonders angepasst an verwaltungstechnische, geschäftliche, finanzielle oder betriebswirtschaftliche Zwecke, sowie an geschäftsbezogene Überwachungs- oder Voraussagezwecke , DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES / G08G Anlagen zur Steuerung, Regelung oder Überwachung des Verkehrs , TRAFFIC CONTROL SYSTEMS



    Carbon emission monitoring method and system based on traffic flow data

    WU ZHONG / PI HAOSHU / HAN WEI et al. | European Patent Office | 2024

    Free access

    Traffic carbon emission monitoring system and monitoring method

    HAN JIE / LI XINYUE / LIN HAN et al. | European Patent Office | 2022

    Free access

    Monitoring device for traffic carbon emission

    LIU XIAOFEI / SHAO SHEGANG / WANG DAN et al. | European Patent Office | 2023

    Free access

    Traffic jam tracing method based on multi-source data

    REN GANG / HAI TIANRUI / WANG YAKUN et al. | European Patent Office | 2021

    Free access

    Traffic carbon emission analysis system and method based on traffic model data

    WANG XUECHENG / FENG ZHENHUA / CAO ZILONG et al. | European Patent Office | 2023

    Free access