| The indoor environment is closely related to users' behavior in addition to the influence of outdoor weather conditions.In order to study the influence of human behavior on the indoor environment,this study analyzes the motivation of personnel behavior by means of actual survey,experiment and theoretical research,and establishes a multiple discriminant analysis model of personnel behavior based on the real-time monitoring parameters of personnel trajectory and environment,and puts forward the relationship between the behavior of the representation and the environmental parameters.Based on the method of visual description,the interface design of visual platform for personnel track and environment real-time monitoring and evaluation is designed.The research results in this paper provide a theoretical and practical reference value for further research in related fields in the future.The main contents of this study are as follows:First of all,based on the office environment,the theory and experimental research method are used to study the basis and method of personnel behavior identification.In the research process,the personnel behavior discrimination experiment is carried out by the personnel wireless positioning system,and the error analysis and correction of the personnel moving track data collected by the personnel trajectory wireless positioning system are carried out.The research results show that the accuracy of personnel positioning after modification can be controlled within the range of 0.15 m.Secondly,using the real-time monitoring system of the indoor environment of the Internet of things and the wireless positioning system of the personnel trajectory,the experimental system of the relationship between the personnel behavior and the environment is constructed.Based on the long time monitoring of the personnel trajectory and the real-time monitoring data of the environment,a multiple discriminant model of personnel behavior(MDA)is established.The weight analysis method and bootstrap method are used to verify the MDA model of personnel behavior.The results show that the comprehensive accuracy of the model is 94.51%,and the correlation between the model calculation results and the measured results is 0.864.On this basis,the visual description method of personnel behavior and environment association is proposed,and the human-computer interaction interface of the real-time monitoring and evaluation visualization platform of personnel trajectory and environment is further designed,which provides a feasible research tool for future research.Finally,a case study was carried out on a campus environment in winter and summer on the basis of an indoor environment analysis method considering the impact of personnel behavior.In the study,the behaviors of summer window opening and air conditioning were selected,and outdoor heating and cleaning behaviors were also introduced.The results show that the proposed method can directly reflect the effects of different seasons on the indoor environment and the different effects of different workers' characteristics on the regional environment.This paper focuses on the description method of people's behavior discrimination and behavior on environmental impact,but there are still some problems,such as the behavior discrimination for different buildings,the realization of real-time monitoring platform,and the intelligent processing of large data need to be further improved in the future. |
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