The Safety Monitoring System of University Laboratory Based on Cloud Platform
1. School of Computer and Communication Engineering, Dalian Jiaotong University, Dalian 116028, China
2. School of of Automation and Electrical Engineering, Dalian Jiaotong University, Dalian 116028, China
| Abstract: | The unified laboratory fire monitoring system aims to centrally monitor laboratory environmental data across the province or even the country, perceive real-time changes in the laboratory's internal environment, accurately assess fire risks, and take timely disaster relief measures. In addition, once a fire occurs in the laboratory, an alarm message can be issued in a timely manner, which can better extinguish the fire in a timely manner to reduce losses or automatically take fire extinguishing measures to avoid the occurrence of a fire. For this purpose, this article designs a cloud platform university laboratory security monitoring system based on ZigBee. This system can monitor the temperature, humidity, and smoke concentration in laboratory rooms of different colleges and universities, and conduct safety monitoring of the rooms. When the monitoring values exceed the safety range, real-time alarms will be given. This system consists of four parts: terminal data acquisition module, ZigBee coordinator, ESP8266 wireless gateway communication module, OneNET cloud platform, and third-party web application. The system collects monitoring data in the laboratory through various sensors and wirelessly transmits the data to the cloud through ZigBee networking. The cloud then transmits the data to the web, thereby achieving real-time monitoring and alerting of the security situation in each laboratory. This article provides a human-machine interaction page on the local web end and a cloud platform monitoring interface. The effectiveness of the system is verified by the measured data validation. |
| Keywords: | Cloud Platform; Security Monitoring; ZigBee; CC2530; ESP8266; DHT11 |
| DOI: | 10.57237/j.cst.2022.01.009 |
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Received: 28 March 2023
Accepted: 19 May 2023
Published Online: 25 May 2023
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