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Application of ecological ideas in indoor environmental art design based on hybrid conformal prediction algorithm framework
Environmental Impact Assessment Review ( IF 6.122 ) Pub Date : 2021-01-01 , DOI: 10.1016/j.eiar.2020.106494
Yunkai Xu , Yi Guo , Awais Khan Jumani , Saleh F.A. Khatib

Abstract This manuscript illustrates the computational intelligence used in indoor environmental art design to enhance the natural living environment and increase the quality of life for residents. The framework is responsible for indoor environmental art ecological design concepts of three areas of environmental coordination, reprocessing and people-oriented planning and development. These design concepts are paying attention to the development of ecological architecture, protecting the environment material implementation, and the natural environment, to provide designers with certain new concepts of the art design. The indoor environmental art design characteristics such as a reasonable plan to build indoor, rational, and scientific spaces, using artistic creativity to create an indoor environment to preserve and ensure the safety of the rational activity. In this framework, the Hybrid Conformal Prediction Algorithm Framework (HCPAF) used to achieve the features of the indoor environmental art design. In the interior design process, designers require to learn something about the needs of the consumer by incorporating the idea of sustainable products into the architecture. Artificial intelligence helps to improve the creativity of designers by taking care of the continuous development that saves designers ‘energy and time to create ideas in HCPAF. Concerning the environmental dimensions of city building, the interior architecture of urban design is ultimately the essential material. The environmental art design is aimed at human living spaces where the reasonable and extensive use of resources is avoided, that the natural environment, the social environment, is artistically used. The simulation analysis of the proposed method gives the result of design accuracy as 98%, design execution as 92%, and the error rate of 6% has been evaluated.

中文翻译:

基于混合共形预测算法框架的生态理念在室内环境艺术设计中的应用

摘要 本手稿说明了室内环境艺术设计中使用的计算智能,以改善自然生活环境并提高居民的生活质量。该框架负责环境协调、再加工和以人为本的规划开发三个领域的室内环境艺术生态设计理念。这些设计理念关注生态建筑的发展、保护环境材料的实施、保护自然环境,为设计师提供一定的艺术设计新理念。合理规划营造室内、合理、科学空间等室内环境艺术设计特点,用艺术创造力创造室内环境,以保存和保证理性活动的安全。在这个框架中,混合保形预测算法框架(HCPAF)用于实现室内环境艺术设计的特征。在室内设计过程中,设计师需要通过将可持续产品的理念融入建筑中来了解消费者的需求。人工智能通过关注持续发展来帮助提高设计师的创造力,从而节省设计师在 HCPAF 中创造想法的精力和时间。就城市建设的环境维度而言,城市设计的室内建筑最终是必不可少的材料。环境艺术设计是针对人类生活空间,避免资源的合理、粗放利用,艺术地利用自然环境、社会环境。对所提方法进行仿真分析,结果设计准确率为98%,设计执行率为92%,错误率为6%。
更新日期:2021-01-01
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