Design And Implementation Of Sounding Resource Adaptive Planning System

People have been studying the law of atmospheric movement through meteorological detection for a long time.With the development of the times,the data scale generated by meteorological detection is also larger,and there are higher requirements for the storage and reading of meteorological data.Sounding resources are particularly important in meteorological exploration.Sounding resources mainly include radiosonde frequency information and meteorological station channel information.Radiosonde sends data to the meteorological station through signal transmission.The frequency attribute needs to be set for signal transmission,and the meteorological station receives data through a channel.Now the planning of sounding resources is mostly in the state of manual management.The planning of sounding resources still uses the method of manual setting,which is easy to cause uneven distribution of sounding resources,error of received data,data redundancy and loss.People are threatened by natural disasters,which requires more efficient and accurate transmission of meteorological observation data.In the process of the meteorological observation,it is easy to be affected by external factors,resulting in inaccurate data.At the same time,in case of bad weather,the data is often easy to be lost,resulting in data errors and deviations.At present,radiosonde detection is mostly used in meteorological exploration,and if there is a conflict between frequency of radiosonde in data transmission,it is easy to cause data error and loss,and the data transmission between radiosonde and receiving station will also be limited by equipment attributes.The planning of radiosonde resources will greatly affect the efficiency and accuracy of meteorological data transmission.Based on the above practical problems,this paper proposes an adaptive planning system for radiosonde resources,develops and adopts open-source frameworks such as Spring Boot,Vue,and MyBatis,uses the genetic algorithm to reasonably plan the frequency attributes of radiosonde,and uses curve fitting to fuse radiosonde data.The improved simulated annealing algorithm is used to solve the resource planning problem between the radiosonde and the receiving station.MySQL is used to manage the data,and Redis is used to store the data with high reading speed.This paper first introduces the background and research significance of sounding resource planning and management,then summarizes the technical architecture of sounding resource adaptive planning system,analyzes the functional and non-functional requirements of sounding resource planning and management,and carries out the overall design of the whole system,describes the system architecture diagram,summarizes the functional modules,designs the table structure and ER diagram of a database.Each functional module is designed and implemented in detail,and then functional test and non-functional test are carried out.Finally,some problems are pointed out and solutions are put forward.The current system has been officially launched.The system can manage the management personnel,radiosonde and other resources,reasonably plan the radiosonde resources,effectively process the wrong data,and the operation effect meets the demand,which provides a new solution and idea for the planning of meteorological radiosonde resources.