Research And Application Of Big Data Technology And Case-based Reasoning In Approval Of City Construction

City construction is an important part of city management, which is the basic stage work to create favorable conditions for the management of the city. City construction information system has accumulated lots of historical data in the years of operation, but also has many defects. With the vigorous development of Internet of things technology, network communication technology, cloud computing technology and mobile Internet technology, the era of big data has come. In the age of big data, how to mine these data and improve defects of existing urban construction information system by using big data technology is a topic worthy of study.In view of the shortcomings of existing systems such as relying on artificial approval, low efficiency and information is not open, etc., on the theoretical basis of cloud computing, big data technology and case-based reasoning technology (CBR), We establish the intelligent approval system of city construction based on big data technology and CBR technology.The paper introduces the concept of "Case approval cloud" and puts forward the city construction approval model based on CBR technology,by which the the storage and computation of the urban construction approval data are concentrated in the cloud. In this system, we use the distributed database of hbase, making the data storage capacity of the system wich high scalability; we design the intelligent approval system of city construction based on CBR technology using the distributed programming framework of MapReduce, making full use of the large mount of historical approval data; we use the distributed full-text retrieval system of SorCloud to retieve the approval data with a high response speed.The cloud computing center for case approval consists of approval management module, intelligent approval module and approval case management. The approval management module comprises enterprise information management, project information management, land information management and case approval information management. The intelligent approval module includes the input of new cases, the retrieval of similar cases, the distributed full-text retrieval of approval cases and the statistical analysis of the cases retrieved. The case management module includes the system case management and standby case management, mainly to complete the maintenance of the approval case base. This paper put forward the "weighted integration model" to carry on the statistical analysis of the retrieved cases to obtain useful guidance to the new case.The system adopts open source cloud computing framework Hadoop as the development platform, using HBase, Solr and MapReduce technology to complete the prototype development of intelligent approval system of city construction. Finally we give the implementation of the system and the performance tests of some key modules of the system.