Design And Implementation Of Drainage Inspection System Based On Mobile Terminal

Based on the development of geographic information technology and Internet of things technology,the flexibility of network communication,the popularity of mobile terminal equipment,the traditional mobile inspection method gradually can not meet the needs of users.In the current drainage inspection system,there are some problems,such as backward management mode,poor current situation of inspection data,poor scalability of system architecture,lack of path planning function in inspection system,etc.(1)Starting from the actual needs of drainage inspection,this paper mainly studies the system architecture,system function and database design,and completes the overall design of the inspection system.(2)The development of drainage inspection system web end.The web side uses HTML to write the front-end interface,the front-end page uses HTTP protocol,uses Ajax to call restful API interface asynchronously,and uses JSON for data interaction.The basic information management module,patrol task management module and report statistics query module are developed.It realizes the management of inspection information,issue inspection task,task status query and other functions.The server uses SSM(Spring + spring MVC + mybatis)framework to build,uses rest service mode,uses HTTP as the communication protocol,and uses JSON data format for data interaction between server and web.(3)The development of mobile patrol app is based on Android platform,using H5 and native technology to develop patrol data acquisition module,task flow view module,patrol information reporting module,map visualization module,information query module,etc.(4)Optimization and implementation of patrol path algorithm.Using the method of "clustering first,then path",this paper proposes a hybrid algorithm of simulated annealing and tabu search,which takes advantage of the better local optimization ability of tabu search algorithm and the better global optimization ability of simulated annealing algorithm,The quality and efficiency of the solution to find the shortest path are improved.This paper has 41 pictures,4 tables and 60 references.