| Mineral resources are the important material basis for improving national economy and promoting social development.With the development of China’s social economy,people’s demand for mineral resources is increasing day by day.The excessive exploitation of mineral resources has brought about a series of environmental problems.In order to improve the monitoring and management level of mineral resources exploitation,relevant departments use remote sensing technology to monitor the mine development status,mine geological environment,etc,and obtain a large number of remote sensing monitoring results data which provide technical support and decision-making basis for related departments in mineral resources planning,mining order readjustment and comprehensive improvement of mining environment,etc.In the process of reviewing remote sensing monitoring polygon attribute data,the staff should combine the field survey results to objectively evaluate the polygon data.The verified polygon data can effectively verify the achievements of mine restoration work in China,and also provide a data basis for the formulation of the next step of mine restoration work.The existing audit work of polygon attribute data is carried out in the way of manual audit of Excel file.Due to the large amount of data,complex types,numerous polygon attributes and complex constraints,there are problems such as heavy work intensity and error-prone of staffs.In order to ensure the quality of polygon data,the review of polygon attributes requires multiple levels of staff to review repeatedly before submission,and the work efficiency is very low.The staffs who hold Excel files can change the polygon data at will,which is difficult to ensure the safety and consistency of the data.Therefore,it is necessary to provide an informatization platform for remote sensing monitoring polygon attribute data.The main problems faced by the online audit system of remote sensing monitoring polygon attribute data are as follows: how to describe the polygon data to ensure that it meets the work requirements;how to construct the security control framework and the system role authority model to enable the staff to perform their respective duties;and how to construct an audit system to make it have better expansibility.For this reason,the following research is carried out in this paper.Firstly,the characteristics of remote sensing monitoring polygon data are analyzed.The polygon attribute data and polygon image are normalized in many aspects.Then the work flow of polygon attribute data audit is abstracted and summarized into six stages: data preparation of administrator,data preliminary review of local user,data confirmation of technical staff,data recheck of local user,data final review of expert,and report generation of administrator.Combined with the work requirements of the polygon attribute data audit and the system security requirements,Shiro framework is adopted to verify the identity of the logged user,and the log mechanism is adopted to record the detailed operation of the user on the data.The audit staffs are divided according to the region and level.Based on RBAC(Role-Based Access Control)model,a role-based access control model based on user groups is proposed to assign corresponding operation permissions for system users.Finally,Spring Boot framework is used as the overall framework of the backend system,and Mybatis framework is used for database access.The front end is built with Layui and other various components.Through the analysis and determination of the system structure,the components and connectors of the system are divided in detail,and the overall architecture of the system is designed.And then through the detailed system design and database design,complete the construction of the system.Finally,the above system construction method is applied to the actual system development.According to the current practical application,the purpose and significance of this paper are explained. |
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