Computer Room Environment Monitoring System And Data Analysis Platform Based On Internet Of Things

The computer room is the very important infrastructure supporting high-education information construction and network switching equipments,and its safety and operating status will affect the campus network security and normal operation of informatization systems,so the real-time remote monitoring engine room environment and the establishment of alarm and early warning mechanism becomes more and more important.Therefore,in order to ensure the safe and stable operation of the equipments in the room,and the reliability of the data,those data should be collected,analyzed and precessed in real time.In recent years,the Internet of Things has developed rapidly with its unique"object-connected" Internet technology,whose application scope and field become more widespread.The IoT technology has clear structure and is easy to layout,and is suitable for a variety of sensors monitoring.In this paper,the proposed scheme is based on the Internet of Things technology,using 4G mobile phone as the master device,through the low-power Bluetooth 4.0 module for environmental parameters of the acquisition and transmission,and transmits the collected data through the network to the server for storage and analysis.At the same time,we use the mobile phone camera to upload real-time images,so that managers can view the room status in real time.The data analysis platform will analyze the uploaded data,and display dynamic curves,and calculate the threshold and forecast value of each environment variable through the mathematical statistics and fitting algorithm,so as to carry out the alarm and warning of the environment of the room and ensure the normal running of network equipment,and escort the university information construction.The research results of this paper have been applied to the monitoring of datacenter in our university,which has played an important role in reducing the occurrence of environmental accidents in the room.The solutions proposed in this paper are equipped with detailed alarm and early warning functions,and also show significant potential applications.