Designing And Implementation Of Data Analysis Subsystem In Soil And Water Conservation Monitoring Platform

The harm of soil and water loss in my country has reached a very serious level.It not only causes the destruction of land resources,but also leads to the deterioration of agricultural production environment,the imbalance of ecological balance,frequent floods and droughts,and affects the development of various industries.Therefore,it is necessary to establish a monitoring platform for soil and water conservation.,and analyze the monitoring data to assist decision-making.The main goal of this paper is to design and implement a data analysis subsystem for soil and water conservation monitoring,providing efficient data analysis and visualization functions for soil and water conservation researchers.Starting from the needs of system users,this paper summarizes the functional requirements of the system through context analysis,data flow analysis,and role use case analysis,and summarizes the non-functional requirements of the system,such as performance,scalability,and security.Then,the system outline design is completed according to the demand analysis,the system software layered architecture design is discussed,and the functional modules are divided according to the layered mode.Then,given the database entity relationship diagram and library table design,completed the interface definition and the design of the main interface.This paper discusses the detailed design and implementation of the main modules such as data extraction,processing,visualization,and system management,and optimizes the performance of key modules.Then,the deployment process of the system is given,the construction of the test environment is completed,the function and performance test are carried out,and the correctness of the system function realization and the stability of the performance are verified.This paper summarizes the work of this project and illustrates the advantages of the data processing and visualization scheme adopted in this paper.The system can quickly orchestrate the data processing process and complete data visualization efficiently and flexibly.Finally,the problems existing in the system and the next steps are presented.