The Design And Implementation Of Cloud Service Platform For Property Management

With the development of the times,the modern communities are developing in the direction of intelligence and functional diversification.The traditional property equipment maintenance and management model is that property maintenance staff regular patrol the public equipment of the community regularly,which takes more manpower and material resources.Equipment repair is reported to the property company by property workers and owners after discovering,and the equipment maintenance personnel will do off-line maintenance,which leads to the problem of not timely report of equipment repair.This paper presents a cloud service platform for property management to meet these requirements.The cloud service platform for property management is the third party platform which integrates the real estates,the property centers and the property maintenance personnel.The platform gathers the maintenance resources of multiproperty centers,accepts the commission of multi-community repair,realizes the mapping of repair requirements and maintenance resources,and assigns the repa ir tasks to equipment maintenance personnel for maintenance services.It mainly provides four functions: multi-cell and multi-type sensor data acquisition and storage,the intelligent detection of lamp faults,the community equipment maintenance scheduling and the public equipment maintenance process management.The acquisition and storage of multi-estate and multi-type sensor data storage provides the data source for the intelligent detection algorithm of street lamp faults.In the realization of the function,the sensor data is collected based on the ZigBee protocol of wireless sensor network.The sensor monitoring data in residential area has the characteristics of multi-source and heterogeneous,while the relational database mode is fixed.Each table needs a predefined mode and the cost of changing its structure dynamically due to sensor changes is high.Then the flexible format and document-oriented MongoDB database is used to store real-time sensor data,and the storage scheme is modeled and designed.The intelligent detection of street lamp faults in residential area is the trigger condition of equipment maintenance service.Image segmentation technology is used to segment real-time monitoring image and reference image.By comparing and calculating multiple street lamp areas in the image,the running state and damage degree of multiple street lamps can be judged.An image brightness partition algorithm based on K-means clustering and a binary image segmentation algorithm based on region growth are proposed to form an intelligent detection algorithm for street lamp faults in residential areas.The community equipment maintenance scheduling is the optimization scheme of maintenance personnel scheduling generated dynamically by property centers according to the type and location of equipment to be maintained.Firstly,the model of maintenance scheduling based on the shortest time is designed.Secondly,the model is solved by using genetic algorithm,and then the shortest time maintenance scheduling algorithm based on genetic algorithm is realized.The public equipment maintenance process management is the tracking of maintenance process,the maintenance process is divided into four parts: equipment repair,maintenance personnel review,off-line maintenance and submission of receipts,confirmation of maintenance results feedback.Firstly,the main business process of equipment maintenance management is described.Secondly,the maintenance process is analyzed from different user roles.Thirdly,the business documents involved in the system are analyzed and designed.In the end,maintenance process of the equipment is realized.