摘要
为了实现对井下有毒有害气体情况的实时可视化监测和预警,基于Spring Boot框架搭建一个井下空气质量实时监测与智能报警系统。该系统使用B/S架构,使前端和后端相分离,采用LayuiAdmin模板和Layu.js等技术完成在前端页面上的开发。利用Spring Boot框架搭建后端服务器,简化了配置,提高了开发效率。数据库为MySQL,可利用MyBatis技术实现对库中数据的改查增删。系统可以在数据库中查询6种有毒有害气体监测数据,实现数据查询分析、报警管理和设备管理等功能。
In order to realize the real-time visual display and early warning of the toxic and harmful gas in the underground,a real-time monitoring and intelligent alarm system for underground air quality is built based on the Spring Boot framework.The system uses B/S architecture to separate the front-end and back-end,and uses LayuiAdmin template and Layu.js to complete the development on the front-end page.Use Spring Boot framework to build back-end server,simplify configuration and improve development efficiency.The database is MySQL and MyBatis technology is used to modify,check,add and delete data in the data base.This system can query 6 kinds of toxic and harmful gas monitoring data in the database,and realize the functions of data query and analysis,alarm management and equipment management.
作者
杨凯
杨超宇
YANG Kai;YANG Chaoyu(School of Economics and Management,Anhui University of Science and Technology,Huainan Anhui 232001,China)
出处
《信息与电脑》
2021年第7期144-147,共4页
Information & Computer
基金
国家自然科学基金项目“多源传感器环境下基于异构特征信息融合的行为识别”(项目编号:61873004)。
