绿色建筑设计决策支持系统研究——基于本体与案例推理技术融合视角
摘要:近年来,我国绿色建筑发展迅猛,但绿色建筑设计存在设计决策难、知识表示不统一、知识难以共享等问题,严重制约了我国绿色建筑的进一步发展。基于人工智能的研究范式,将本体和案例推理技术引入到绿色建筑设计决策中,建立绿色建筑设计本体、绿色建筑设计案例库以及绿色建筑案例检索机制,基于构建的决策原理开发绿色建筑设计决策支持系统,并开展案例研究验证系统有效性。本研究成果能够显著提高绿色建筑设计人员的工作效率和设计质量,推动我国绿色建筑的发展,助力建筑业“双碳”目标的如期实现。
关键词:行业发展绿色建筑设计决策支持本体案例推理
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参考文献[1] 中国建筑节能协会建筑能耗与碳排放数据专委会.2022中国建筑能耗与碳排放研究报告[R].重庆,2022.
[2] 中华人民共和国住房和城乡建设部.“十四五”建筑节能与绿色建筑发展规划[R].北京,2022.
[3] Mauro G M,Hamdy M,Vanoli G P,etal. A new methodology for investigating the costoptimality of energy retrofitting a building category[J]. Energy and Buildings,2015,107:456-478.
[4] 徐晓萌.绿色建筑在规划设计中的问题及解决措施[J].建筑技术,2015(1):83-85.
[5] 仇保兴.绿色建筑发展误区及推广路径[J].建筑,2019(13):20-22.
[6] Xu J,He M,Jiang Y. A novel framework of knowledge transfer system for construc6tion projects based on knowledge graph and transfer learning[J].Expert Systems with Applications,2022,199:116964.
[7] 周子骞,高雯,贺秋时,等.建筑设计领域人工智能探索——从生成式设计到智能决策[J].工业建筑,2022(7):159-172+47.
[8] 孟洁.基于案例推理的建筑方案设计流程研究[D].哈尔滨:哈尔滨工业大学,2015.
[9] 仇保兴.新常态·新绿建——中国绿色建筑的现状与发展前景[J].建设科技,2015(12):8-11.
[10] 孙澄,韩昀松,任惠.面向人工智能的建筑计算性设计研究[J].建筑学报,2018(9):98-104.
[11] Finnie G,Sun Z. R5 model for case-based reasoning[J]. Knowledge-Based Systems,2003(1):59-65.
[2] 中华人民共和国住房和城乡建设部.“十四五”建筑节能与绿色建筑发展规划[R].北京,2022.
[3] Mauro G M,Hamdy M,Vanoli G P,etal. A new methodology for investigating the costoptimality of energy retrofitting a building category[J]. Energy and Buildings,2015,107:456-478.
[4] 徐晓萌.绿色建筑在规划设计中的问题及解决措施[J].建筑技术,2015(1):83-85.
[5] 仇保兴.绿色建筑发展误区及推广路径[J].建筑,2019(13):20-22.
[6] Xu J,He M,Jiang Y. A novel framework of knowledge transfer system for construc6tion projects based on knowledge graph and transfer learning[J].Expert Systems with Applications,2022,199:116964.
[7] 周子骞,高雯,贺秋时,等.建筑设计领域人工智能探索——从生成式设计到智能决策[J].工业建筑,2022(7):159-172+47.
[8] 孟洁.基于案例推理的建筑方案设计流程研究[D].哈尔滨:哈尔滨工业大学,2015.
[9] 仇保兴.新常态·新绿建——中国绿色建筑的现状与发展前景[J].建设科技,2015(12):8-11.
[10] 孙澄,韩昀松,任惠.面向人工智能的建筑计算性设计研究[J].建筑学报,2018(9):98-104.
[11] Finnie G,Sun Z. R5 model for case-based reasoning[J]. Knowledge-Based Systems,2003(1):59-65.
Research on Green Building Design Decision Support System:Based on the Fusion Perspective of Ontology and Case-based Reasoning Technology
Abstract: In recent years,green buildings have developed rapidly in China. However,the design decision-making of green buildings encounters some problems such as difficulty in design decisions,inconsistent knowledge representation,and difficulty in knowledge sharing,which seriously restricts the development of green buildings in China. From the perspective of intelligent decision-making,this study introduces ontology and case-based reasoning technology into green building design decision-making. This study establishes the green building design ontology,case base,and case retrieval mechanism. A green building design decision support system is developed and a case demonstration is conducted to verify its effectiveness. The results of this research can significantly improve the work efficiency and design effects of green building designers,promote the development of green buildings in our country,and help government realize the “carbon peaking and carbon neutrality goals” in the construction industry.
Keywords: industry development; green building design; decision-making; ontology; case-based reasoning
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