Design And Implementation Of Environment Monitoring System In Digital Twin Community

As the urbanization level in our country continues to improve,digital twin community technology provides a new approach for modern community governance.Environmental monitoring is a crucial component of community governance as it accurately monitors and evaluates the environmental conditions in real-time to ensure the health and safety of people and the ecological environment.The device linkage function can better reflect the relationship between devices in the environmental monitoring system,assisting users in understanding the trends of environmental events,and enhancing the system’s intelligence.However,the current widely used device linkage method does not consider the spatial distribution characteristics of the equipment,resulting in low efficiency of equipment association and inaccurate association results.Therefore,how to efficiently and accurately establish spatial semantic associations for IoT devices,and based on this,implement the device linkage module in the environmental monitoring system providing users with intelligent applications is a problem worthy of research.This thesis first designs an environmental monitoring system in the digital twin community.The system integrates the BIM model as the spatial data base of the system,modularly encapsulates the management methods of IoT device resources,space areas,and device linkage rules,realizes a unified management interface,and designs a user-friendly management interface with detailed functions.Combined with 3D visualization technology,it can intuitively present the situation of the community environment.In the progress of designing device linkage module,this thesis proposes a spatial semantic association method for IoT devices,which improves the time efficiency of large-scale device association by constructing a spatial semantic association network for device association rules and establishing a spatial index for device data.In addition,the method defines a membership function to describe the degree to which the spatial relationship between devices satisfies the association rules,which can well deal with fuzzy association rules and automatically infer the association strength between devices.Finally,this thesis evaluates the environmental monitoring system in terms of its functionality and performance.The tests indicate that all functional modules achieve the expected results,and the system performance meets the actual requirements.