| In order to provide comfortable environment for production,living,working,and learning,buildings consume a lot of energy during the operation phase.Therefore,reasonable energy consumption management during the operation phase of the building is an effective way to save energy.Due to the lack of information on the internal environment,occupants,and equipments of the building,most of the current energy-saving strategies for buildings restrain the behavior of occupants.Occupants are forced to obey the energy-saving renovation measures passively.These measures bring great inconvenience to the building occupants.In response to this problem,this research uses the Internet of Things,modern communication technology,BIM technology and various sensors to propose a high-precision and cost-effective indoor multi-dimensional information monitoring and visualization method,and build a visualized operation and maintenance monitoring platform for buildings that includes indoor environmental information and indoor personnel location.This platform analyzes the internal relationship between building energy performance,indoor environment,and occupant information,proposes a humanized energy-saving strategy that meets the requirements of indoor occupant behaviors and thermal comfort.This study compares indoor positioning technologies in terms of positioning accuracy,transmission distance,cost,technical stability,and layout complexity and determines the Wi-Fi signal-based indoor positioning method to obtain occupants’ locations.The Wi-Fi signal is processed by median filtering.Using the logarithmic distance path loss model and the maximum likelihood method to calculate occupants’ locations.The technical framework of HTML5+CSS3+Java Script+ECharts is used to establish the front-end interface of indoor multi-dimensional information integration and visualization,and realize the visualization of building environment,energy consumption,space utilization,occupants’ locations,and occupants’ thermal comfort.Choosing a university library and a comprehensive experiment building in Dalian as case studies to verify the feasibility,reliability,and accuracy of this method.Based on the monitored multi-dimensional information inside the building,analyzing the staying time,quantity change,gathering patterns and thermal comfort to put forward suggestions on energy saving,daily operation,and building layout.The proposed indoor multi-dimensional information monitoring and visualization method can be applied to various types of buildings to collect information about the building indoor environment,energy consumption and occupancy in a long time,revealing the correlation between indoor occupancy and building performance.The established building operation and maintenance data can refine the BIM model and support the continuous building energy consumption assessment and optimization management.The visualized management of multi-dimensional information is conducive to grasping the status of building operation and maintenance,scientifically optimizing equipments and adjusting operation strategies.This research has scientific and practical significance for promoting the development of green buildings and responding to the national sustainable development strategy. |
