Research On Plants Visibility Detection Methods In Medical Buildings Based On Building Information Modeling Collision Detection Technology

Green plants are related to human health.Scholars have verified the beneficial impact of natural landscape on people’s physical and mental health through quantitative research and qualitative research.The healing effect of natural landscape is closely related to vision.However,there is no efficient and accurate method to detect the visibility of green plants in the healthcare environment.This study takes the healthcare environment and bedridden patients as the research objects.Combined with literature analysis and field research,this study proposes the existing problems of healthcare environment design.Aiming at research problems,the Building Information Modeling(BIM)technology is used to develop the optimization design tool.In order to solve the problems of high time cost and low accuracy in detecting the visibility of plant landscape in the design of medical buildings,human-machine cooperation is adopted.It is hoped that the results of the research can provide guidance for the healthcare environment design,and improve the application system of BIM technology to reduce the workload of architects.This paper includes five chapters:Chapter one is introduction,introducing the background and significance of the research on the plant visibility in hospitals.This part points out the relationship between plant visibility and human vision,and analyzes the existing problems in the landscape design of hospitals in China.Chapter one summarizes the application and research of BIM technology,and puts forward the secondary development of BIM technology for the plants visibility detection.The logic and method of this study are presented.Chapter two is the theoretical framework of BIM secondary development.On the basis of analyzing the advantages and disadvantages of green looking ratio calculation methods,three theoretical methods for plants visibility detecting in hospitals were proposed.Its research object is bedridden patients,and its theoretical basis is BIM collision detection principle.The feasibility of the three methods was analyzed through expert interview.The second chapter is the theoretical framework of BIM secondary development.Taking bedridden patients as the typical research object,three methods for plants visibility detection in hospital are proposed based on BIM collision detection.The feasibility analysis of this three methods is conducted through expert interviews.The third chapter is the development and introduction of the plants visibility detection program.This chapter introduces the technologies and functions of this detection program.The fourth chapter verifies the function of the detection program of the plants visibility through control experiment,and evaluates the program by questionnaire survey.The application scenario of the plants visibility program is also described.The fifth chapter is the summary,follow-up research and prospect of this study.By summarizing the results of this study,the shortcomings of the current research and future research on the plants visibility detection program are put forward.The result of this study is EB-Detect 1.0,which helps architects and landscape architects to establish a better visual relationship between bedridden patients and landscape plants.At the same time improve the work efficiency and detection accuracy.Compared with manual detection,EB-Detect 1.0 improved the detection accuracy by11% and took only 31.9% of the manual detection time.In addition,EB-Detect 1.0significantly improves the detection accuracy and efficiency of subjects with shorter years of study and work,which largely compensates for their lack of software proficiency.The questionnaire results of post-use evaluation showed that the respondents were generally satisfied with the experience of EB-Detect 1.0 as well as the improvement of work efficiency and design quality.