• ISSN: 1674-7461
  • CN: 11-5823/TU
  • Hosted by: China Society and Technology Association
  • Organizer: China Graphics Society
  • Guidance: China Academy of Building Research

Research on Green Construction Evaluation Index and Influencing Factors
Zhu Houhong, Ci Xiaole, Zhu Jiadi
2020,12(5):135-142. doi: 10.16670/j.cnki.cn11-5823/tu.2020.05.23
This article is based on the Green Construction Guidelines and Evaluation Standards for Green Construction of Construction Engineering, with the help of the group standard Management Specification of Green Construction Monitoring and Controlling Informatization Based on BIM drawn up by the research group and the green construction monitoring and management platform developed to study the green construction evaluation index and influencing factors. This research analyzes the green construction informatization indicators under the green construction monitoring and management platform and the influencing factors, which plays a certain role in advancing the research of green construction related standards and informatization evaluation.
key words: Green Construction, Sub-item Evaluation Index, Influencing Factors, Green Construction Monitoring and Management Platform
Research on Information Model of Green Construction Evaluation Index and Influencing Factors Based on Green Construction Management and Control Platform
Ci Xiaole, Zhu Houhong, Zhu Jiadi
2020,12(6):141-148. doi: 10.16670/j.cnki.cn11-5823/tu.2020.06.22
Green construction and information technology have been made great progress in China. As a quantitative embodiment of green construction effects, green construction evaluation is a direction worthy of research on how to combine with information technology to achieve automatic and intelligent evaluation. This article is based on the Green Construction Guidelines、Evaluation Standards for Green Construction of Construction Engineering (GB/T50640) and Code for Green Construction of Building (GB/T50905), with the help of the green construction monitoring and management platform developed by the research group to build an information model of green construction evaluation index and influencing factors. Combined with the original green construction information model on site, the model can be imported into the platform to assess the green construction effect through comparing indicator data carried by the model and the field data collected by the platform. The results show that each factor makes a difference in its corresponding green construction index. This study analyzes their correlations, which can be used as a reference for the evaluation of green construction and its automatic intelligence.
key words: Green Construction, Information Model, Green Construction Monitoring and Management Platform, Green Construction Evaluation

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