摘要
矿山地质环境监测数据库管理系统的运用是矿山地质环境监测工作向信息化迈进的重要一步,对解决多源、多格式海量数据的存储、查询、分析以及未来对接大数据平台进行灾害智能预测具有重要意义。通过分析现阶段矿山地质环境监测常用设备、监测方法、监测数据资料等,利用SQLite3建立了关系型数据库,同时基于Tkinter和Django开发了B/S+C/S架构的数据库管理系统,实现了从数据采集到成果输出的全流程管理。
The application of mine geological environment monitoring database management system is an important step in the informatization of mine geological environment monitoring work.It is of great significance to solve the storage,query,analysis and the intelligent prediction of disasters in the future docking big data platformof multi-source and multi-format massive data.By analyzing the common equipment,monitoring methods and monitoring data of mine geological environment monitoring at the present stage,a relational database is established by using SQLite3.At the same time,a database management system with B/S+C/S architecture is developed based on Tkinter and Django,which realizes the whole process management from data acquisition to result output.
作者
游昆鹏
胡高峰
罗才严
YOU Kunpeng;HU Gaofeng;LUO Caiyan(Shaanxi Fengxian Sifang Gold Mine Co.,Ltd.)
出处
《现代矿业》
CAS
2023年第10期215-218,共4页
Modern Mining
