Research And Implementation Of Urban Dangerous Housing Supervision System Based On WebGIS

In recent years,due to various factors such as natural disasters,aging housing,and municipal construction,many places in the country have continuously suffered the collapse of dangerous buildings or partial collapse accidents,causing huge losses of property to the people.In the management of dilapidated buildings,the traditional management method is mainly the responsibility of the housing management department,and the combination of multiple departments to complete the renovation of dangerous buildings.However,as the number of dangerous buildings increases year by year,the registration of dangerous buildings is slow,the document review cycle is too long,and the renovation process is slow.Such phenomena have become increasingly evident.At present,the management of urban dilapidated buildings in China is mainly based on manual management,and some cities have adopted some informatization methods,such as building a dangerous house identification system or a demolition system.However,due to the limitations of system functions,it is difficult to adapt to the multi-sectoral coordination in dilapidated housing management.The actual needs of the job.In view of the above problems,combined with JavaEE technology,WebGIS technology and mobile development technology,this paper designed and implemented a WebGIS-based urban dilapidated housing supervision system.The main tasks are as follows:1.A detailed business requirement analysis was conducted on the Dangerous Housing Supervision System,and the business processes and functions of each subsystem were given.The system architecture,database logical model and conceptual model were designed.2.Based on the multi-sectoral coordination of supervision of the needs of dilapidated houses,based on WebGIS technology,combined with the SOA hierarchical service architecture,through the SSM framework and the Spring MVC framework,the functions of all business modules are refined,and a dangerous house management subsystem and a dangerous house identification subsystem are designed.Dangerous house disposal subsystem realizes the collaborative management of work between different departments.3.In order to improve the efficiency and scientificity of the identification of dangerous buildings,a hierarchical clustering model based on the K-means algorithm was proposed to quickly predict the grade of dangerous houses.In order to improve the scientificity of the daily supervision and management of dangerous houses,a task-based method was proposed.Staff assignment evaluation model.4.Aiming at the low efficiency of data collection and monitoring for dangerous buildings,the design and implementation of a mobile terminal based on React Native's cross-platform technology,and combined with the task allocation model proposed in this paper,the rapid and scientific task allocation and data collection of inspection personnel is realized.The system studied and implemented in this paper has been successfully applied in practical work.From the perspective of using effects,it meets the requirements of relevant government departments for supervision and decision making of urban dilapidated houses,and has achieved the system design goals.