羊毛混纺面料生产流程的碳图谱建模与应用

纺织行业绿色转型从原材料生产、纺纱、织造、染整到最终产品循环供应网络的链路长、碳足迹流向和分布极为复杂,面向全生命周期的绿色化碳追溯和管理非常困难。以羊毛混纺面料生产为研究对象,采用流程挖掘和图谱等工业智能技术,提出一种面料生产的碳图谱建模、碳排放量化和应用方法。首先,建立羊毛混纺面料各级工序流程中能量流、物料流、人员流和碳流4个维度的生产流程工序级别碳排放量化模型;其次,在量化模型基础上提出了一种羊毛混纺面料生产流程知识的碳图谱建模方法,可实现以订单为线索的面料生产流程工序碳排放计算;最后,利用流程挖掘技术生成直接跟随图,可视分析面料生产过程的全局碳排放分布与流向,可实现全局和局部碳排放多角度监测。以上海某纺织企业生产流程为例,进一步验证本文所提出的羊毛混纺面料生产流程碳排放图谱的有效性,以期为企业的碳减排工作提供指导和决策参考。

低碳乡村的碳图谱建构与时空特征分析——以长三角地区为例

低碳减排是我国乡村振兴与可持续发展的重要内容。目前,低碳评估研究多集中于区域、城镇层面,聚焦于乡村层面的研究较为有限。在梳理相关理论的基础上,针对性地提出乡村"碳图谱"的概念,建构以微观宅基地、工厂等为基本单元的碳排放测算模型,并采用图与谱的形式对时空特征进行可视化的表达与解析,以期为低碳乡村的营建规划提供参考与经验。以长三角地区乡村为实证样本,结果表明:乡村碳图谱具有明显的"倾向性"分布、"周期性"变化、"类型化"结构的特征。差异化的产业类型,导致不同乡村的碳图谱时空特征和趋势分异明显,需相对应地提出优化策略机制。

基于产住元胞的乡村碳图谱建构与优化策略解析——以浙江地区发达乡村为例

随着乡村的社会经济增长与就地城镇化转型,低碳建设已成为城乡人居环境可持续发展的重要保障。本文以乡村的产住元胞为小微单元因子,建构碳排放量化评估模型,并借助GIS模拟与解析乡村碳空间图谱的范式特征。以浙江地区的发达乡村为实证样本,结果表明:不同产住类型主导的乡村碳空间图谱差异明显,具有分散式点状、梯度式层推和核域式集聚分布等特征。进而,探讨现阶段乡村增汇减排面临的困境,并提出乡村碳排放的优化路径与策略机制,以期为低碳乡村的营建规划提供参考与经验。

基于无人机+BIM技术的低碳乡村碳图谱数据平台建构与时空特征分析

在“双碳”背景下,乡村振兴和低碳建设成为乡村规划和建设的重要议题。选取京津冀发展先行区某域,对乡村发展过程中碳排放的时空分布特征进行监测,对实现低碳乡村建设具有重要意义。本研究利用无人机热成像技术,结合BIM模型技术,提出了一种面向乡村的碳图谱构建方法,实现了基于热成像无人机数据的低碳乡村碳图谱构建,并结合BIM模型技术,建立了一套低碳乡村时空特征分析方法,为实现低碳乡村建设提供了一种新思路。针对乡村特点加强无人机技术创新适应低空经济应用场景,针对碳图谱大数据平台整合资源拓展产科教融合共同体建设。

发达村镇产住混合社区碳空间解析与导控——以浙江省为例

随着城市“高碳现象”向村镇同化迁移,低碳村镇社区营建已成为村镇人居环境适宜性发展的重要手段。文章以浙江省发达村镇为例展开实证研究,以产住空间异质的“社区元胞”为基本碳载体,建构碳排放空间图谱,并借助量化数据的方法,解析发达村镇碳空间特征及产住空间形态范式。结果表明:不同主导产业的村镇社区碳空间图谱差异明显;故通过对产住空间范式解析,提出不同产业类型下的低碳社区营建导则,以期对村镇低碳社区的建设提供新的视角与思路。

Potentials and Challenges of Carbon Knowledge Graph in Sustainable Textile Production for Carbon Traceability:A Review

Textile production has received considerable attention owing to its significance in production value,the complexity of its manufacturing processes and the extensive reach of its supply chains.However,textile industry consumes substantial energy and materials and emits greenhouse gases that severely harm the environment.In addressing this challenge,the concept of sustainable production offers crucial guidance for the sustainable development of the textile industry.Low-carbon manufacturing technologies provide robust technical support for the textile industry to transition to a low-carbon model by optimizing production processes,enhancing energy efficiency and minimizing material waste.Consequently,low-carbon manufacturing technologies have gradually been implemented in sustainable textile production scenarios.However,while research on low-carbon manufacturing technologies for textile production has advanced,these studies predominantly concentrate on theoretical methods,with relatively limited exploration of practical applications.To address this gap,a thorough overview of carbon emission management methods and tools in textile production,as well as the characteristics and influencing factors of carbon emissions in key textile manufacturing processes is presented to identify common issues.Additionally,two new concepts,carbon knowledge graph and carbon traceability,are introduced,offering strategic recommendations and application directions for the low-carbon development of sustainable textile production.Beginning with seven key aspects of sustainable textile production,the characteristics of carbon emissions and their influencing factors in key textile manufacturing process are systematically summarized.The aim is to provide guidance and optimization strategies for future emission reduction efforts by exploring the carbon emission situations and influencing factors at each stage.Furthermore,the potential and challenges of carbon knowledge graph technology are summarized in achieving carbon traceability,and several research ideas and suggestions are proposed.