西部人居环境学刊2025，Vol.40Issue(5)：51-58,8.DOI:10.13791/j.cnki.hsfwest.20240522001
室内环境质量动态权重评价模型研究
A dynamic weight assessment model for Indoor Environmental Quality(IEQ)
摘要
Abstract
This study develops an advanced dynamic weighting evaluation model for Indoor Environmental Quality(IEQ)assessment that addresses the critical limitations of conventional fixed-weight approaches.Indoor environmental quality,encompassing thermal,visual,acoustic environments and indoor air quality,plays a pivotal role in occupant comfort and well-being.Traditional IEQ evaluation models have predominantly relied on static weighting schemes that fail to capture the dynamic interactions between environmental factors and their varying influence on overall comfort perception under different conditions.The research is initiated to overcome the recognized shortcomings of existing evaluation methods that cannot adequately represent the nonlinear relationships between individual IEQ factors and overall comfort.While numerous studies have attempted to develop reliable IEQ weight models,most maintain fixed weights for each environmental parameter regardless of actual conditions.This conventional approach proves insufficient as substantial evidence demonstrates that the relative importance of different factors changes significantly depending on environmental states,particularly when certain parameters reach extreme or uncomfortable levels.Our comprehensive methodology combines extensive field investigations with sophisticated mathematical modeling techniques.The research team conducted thorough subjective and objective surveys across various building types in cold climate regions,establishing a robust database of 1 468 samples.This carefully compiled database captures detailed occupant responses to diverse environmental conditions,providing the essential foundation for model development.The study employed standardized CBE occupant survey protocols to ensure data consistency and reliability throughout the research process.The core innovation of this study lies in its novel application of variable-weight theory to IEQ assessment.The proposed dynamic weighting model represents a significant advancement through several key features.It establishes state-dependent weighting functions that automatically adjust factor importance based on real-time environmental conditions.The model incorporates specialized penalty-type variable-weight mechanisms that specifically address extreme discomfort scenarios,and develops a systematic approach for determining critical thresholds and tuning parameters through empirical data analysis.Rigorous model validation is conducted through carefully designed experiments under 50 distinct environmental conditions,systematically varying temperature,illumination,noise levels and CO2 concentrations.These controlled experiments spanned the complete spectrum from optimal comfort conditions to severely compromised IEQ states,generating comprehensive performance evaluation data.The validation process included detailed comparisons between the dynamic model's predictions,traditional constant-weight model outputs,and actual occupant voting results.The research findings demonstrate several important outcomes.The dynamic weighting model shows marked improvement in evaluation accuracy,particularly in extreme environmental conditions where traditional models typically fail.The study reveals clear nonlinear relationships between individual factor weights and their respective comfort levels,such as the substantial increase in thermal environment weight when temperatures fall outside comfort ranges.The model successfully identifies critical thresholds where specific parameters become disproportionately influential on overall satisfaction.Comparative analysis confirms that the dynamic model's predictions align much more closely with actual occupant voting patterns than conventional approaches.This research makes substantial theoretical contributions to building science by providing empirical evidence supporting the nonlinear nature of comfort perception in built environments.It develops a comprehensive mathematical framework for implementing variable-weight theory in IEQ assessment and establishes methodological standards for integrating large-scale occupant surveys with mathematical modeling.The study significantly advances our understanding of how different IEQ factors interact under varying conditions,offering new insights into environmental comfort dynamics.The practical applications of this research hold considerable importance for both building design and operation.Design professionals can utilize the model to optimize environmental systems by identifying priority parameters under specific conditions.Facility managers gain a sophisticated diagnostic tool for addressing comfort issues in occupied buildings.The model supports more nuanced energy efficiency strategies by identifying when environmental parameters can be adjusted without significantly impacting comfort.Additionally,it provides a robust framework for post-occupancy evaluation and building performance assessment.Future research directions identified by this study include extending the model to different climate zones and building types,investigating potential cross-cultural differences in comfort perception,integrating with smart building technologies for real-time IEQ optimization,and exploring additional environmental parameters that may influence comfort.These avenues promise to further enhance our understanding and management of indoor environmental quality.This research represents a fundamental shift in IEQ assessment methodology,moving from static,linear models to dynamic systems that better reflect the complex reality of human comfort perception.By successfully bridging mathematical modeling techniques with architectural science,it opens new possibilities for data-driven,human-centric building design that can simultaneously enhance occupant well-being and promote sustainable resource use.The model's robust validation and practical applicability make it particularly valuable in contemporary architectural practice and research,where both human health and environmental responsibility are increasingly prioritized.The study establishes a new standard for IEQ assessment frameworks that more accurately capture the dynamic nature of human-environment interactions in built spaces.关键词
室内环境质量/综合舒适度/室内环境质量模型/变权模型/动态权重Key words
Indoor Environmental Quality(IEQ)/occupant overall satisfaction/IEQ model/variable-weight model/dynamic weighting分类
土木建筑引用本文复制引用
周涵宇,徐雅冰,赵蓬雯,王立雄,刘刚..室内环境质量动态权重评价模型研究[J].西部人居环境学刊,2025,40(5):51-58,8.基金项目
山东省自然科学基金青年科学基金项目(ZR2023QE340) （ZR2023QE340）
