基于物联网实验室环境远程监测系统的研究

RESEARCH ON REMOTE MONITORING SYSTEM OF LABORATORY ENVIRONMENT BASED ON INTERNET OF THINGS

摘要:

实验室环境对电子仪器及设备的使用安全和寿命以及实验室消防安全有着非常重大的影响,传统实验室环境监控需要安排人员进行24h值班和巡检,人力投入和安装布线成本非常高。针对上述问题,采用高性能低功耗离子式烟雾传感器NIS-07和温湿度复合传感器DTH11进行环境数据的采集,采用无线网络模块完成数据的传输,并通过微处理器将采集的数据上传服务器,同时采用基于BP神经网络PID控制算法实现在线动态温湿度调控。服务器端使用Tomcat web服务器,采用MySQL数据库进行数据存储,并通过Java编程语言实现传感器数据的存储、分析、处理以及客户端数据的更新。客户端通过Web网页或APP对实验室环境进行实时监控,从而实现精确和高效的实验室环境远程集中管理。

Abstract:

The laboratory environment has a very significant impact on the safety and life of electronic instruments and equipment, as well as the fire safety of the laboratory. Traditional laboratory environmental monitoring requires personnel to be on duty and inspection for 24 hours, and the labor investment and installation and wiring costs are very high. In response to the above problems,uses high-performance and low-power ionic smoke sensor NIS-07 and temperature and humidity composite sensor DTH11 to collect environmental data, uses a wireless network module to complete the data transmission, and uploads the collected data to the server through the microprocessor At the same time, the PID control algorithm based on BP neural network is used to realize online dynamic temperature and humidity control. The server uses Tomcat web server and MySQL database for data storage, and realizes the storage, analysis and processing of sensor data and the update of client data through the Java programming language. The client monitors the laboratory environment in real time through the Web page or APP, so as to realize accurate and efficient remote centralized management of the laboratory environment.