Transformer Equipment Temperature Monitoring Based on the Network Framework of Django

In order to improve the visualization and efficiency of transformer temperature monitoring, a real-time transformer temperature detection system based on Django network framework is designed, in which the temperature acquisition module is composed of temperature sensor and zigbee network module and is controlled by Raspberry Pi microcomputer. The server and the monitoring system are partly based on the B / S architecture design, and the python language is used to collect, store, send and display the data. Users through the web browser to view the data displayed in the form of charts to facilitate data analysis and warning of transformer equipment.