基于端云协同建筑全生命周期碳排放核算系统设计与实现

张艳玲 ,  刘文彦 ,  孙良庆 ,  阎俏 ,  苏晨辉 ,  郝敬全

山东建筑大学学报 ›› 2026, Vol. 41 ›› Issue (4) : 107 -115.

PDF (5175KB)
山东建筑大学学报 ›› 2026, Vol. 41 ›› Issue (4) : 107 -115. DOI: 10.12077/sdjz.2026.04.013
工程实践

基于端云协同建筑全生命周期碳排放核算系统设计与实现

作者信息 +

Design and implementation of a carbon emission calculation system for the whole life cycle of buildings based on edge-cloud collaboration

Author information +
文章历史 +
PDF (5299K)

摘要

为提高建筑碳排放核算的精准度与实时性,设计一种建筑全生命周期碳排放核算系统,遵循“本地计算+云端协同”模式设计,本地端装设碳排放测算节点,实现了数据采集、碳排放计算以及数据上传等功能,兼容材料测算、台班测算、能耗测算三种碳排放计算模式;云端软件平台采用微服务架构设计,包含公共微服务和特色应用微服务两个集群,每个服务项目独立部署、维护和拓展,实现建筑全生命周期碳排放数据的分布采集计算和统一管理。该系统采用端云协同的工作模式,可保证在网络不稳定或断网时本地仍能正常开展碳排放计算,有效降低服务器压力,减少对云端算力的依赖,提升数据处理的实时性与可靠性。

Abstract

To improve both the accuracy and real-time capability of building carbon emission accounting, a whole-life-cycle carbon emission accounting system for buildings. The system was developed based on a “local computing+cloud collaboration”. At the local end, carbon emission accounting nodes were deployed to realize data acquisition, carbon emission calculation and data uploading functions. The nodes were support by three calculation modes: material-based mode, equipment-shift accounting and energy-consumption-based accounting. The cloud software platform adopts a microservice architecture, consisting of two clusters, public microservices and specialized application microservices. Each service is independently deployed, maintained, and extended, achieving distributed collection and calculation as well as centralized management of whole-life-cycle building carbon emission data. The system adopts an edge-cloud collaborative workflow, ensures that local terminals can continue carbon emission calculations when the network was unstable or disconnected, effectively reduce server load, reduce reliance on cloud computing power, and enhance the real-time capability and reliability of data processing.

关键词

碳排放 / 测算节点 / 微服务 / 全生命周期 / 分布式采集

Key words

carbon emission / calculation node / microservice / whole life cycle / distributed data collection

引用本文

引用格式 ▾
张艳玲,刘文彦,孙良庆,阎俏,苏晨辉,郝敬全. 基于端云协同建筑全生命周期碳排放核算系统设计与实现[J]. 山东建筑大学学报, 2026, 41(4): 107-115 DOI:10.12077/sdjz.2026.04.013

登录浏览全文

4963

注册一个新账户 忘记密码

参考文献

[1]

中国建筑节能协会 . 2023中国建筑与城市基础设施碳排放研究报告[EB/OL]. (2023-12-27)[2025-09-17]. https://www.airventec.com.cn/archives/19802.html.

[2]

国务院办公厅 . 加快构建碳排放双控制度体系工作方案[EB/OL]. (2024-08-02)[2025-09-17]. http://www.scio.gov.cn/zdgz/jj/202408/t20240805_857904_m.html.

[3]

崔萍, 张来伟, 李骥, . 工业园区综合能源系统评价及碳排放核算研究综述[J]. 山东建筑大学学报, 2024, 39(1): 126-134.

[4]

刘昭, 邓云峰, 王晓涛 . 国内外建筑生命周期碳排放评价研究进展[J]. 气候变化研究快报, 2013, 2(3): 121-127.

[5]

Dabous S A, Shanableh A, Al-Ruzouq R, et al. A spatio-temporal framework for sustainable planning of buildings based on carbon emissions at the city scale[J]. Sustainable Cities and Society, 2022, 82: 103890.

[6]

Wang J J, Wei J J, Zhang W R, et al. High-resolution temporal and spatial evolution of carbon emissions from building operations in Beijing[J]. Journal of Cleaner Production, 2022, 376: 134272.

[7]

苏斌, 范丽佳, 范苑, . 建筑建造阶段实际碳排放计算分析:以广州某超高层办公楼为例[J]. 建筑科学, 2025, 41(4): 39-46.

[8]

Huang Z J, Zhou H, Miao Z J, et al. Life-cycle carbon emissions (LCCE) of buildings: Implications, calculations, and reductions[J]. Engineering, 2024, 35: 115-139.

基金资助

山东省重点研发计划项目(2024TSGC0023)

泰山产业领军人才工程项目(2023)

AI Summary AI Mindmap
PDF (5175KB)

0

访问

0

被引

详细

导航
相关文章

AI思维导图

/