Design Of Box-type Substation Fire Monitoring System Based On ZigBee And NB-IoT

In recent years,China’s power industry has developed rapidly.Government departments have actively promoted the construction of new energy power generation projects and high-voltage transmission grids and have continuously accelerated the transformation of urban and rural old power grids.In 2018,the State Grid Corporation put forward a new round of power grid renovation plan.As a large number of equipment used in the transformation of the distribution network,the box-type substation has become a key node for the normal power supply of the power grid.Intelligent monitoring of box-type substations is essential to ensure the stable operation of box-type substations.Therefore,this article uses wireless communication technology and sensor technology to design a box-type substation fire monitoring system based on ZigBee and NB-IoT.In the system design process,according to the research status of domestic and foreign box-type substation monitoring systems,the overall architecture of the box-type substation monitoring system was designed;the advantages of ZigBee technology and NB-IoT communication technology in the system are analyzed,and the functions of cloud platform are explained.Comprehensive consideration of the operating environment,cost control and power consumption control,the CC2530 was chosen as the main control chip for the ZigBee module,which controls the temperature and humidity,smoke,CO concentration and flame sensors to collect data.The remote communication part uses ZigBee and NB-IoT heterogeneous networks to transmit data,where the BC26 chip is selected for the NB-IoT communication module and uses the MQTT protocol to communicate with the Ali Cloud platform.The system was modelled and optimized using Petri net theory,and the functionality and effectiveness of the improved monitoring system was verified.The software part mainly designs the data collection program for temperature and humidity,smoke,CO gas and other sensors,the ZigBee terminal networking program,and the NB module remote data transmission program;completes the functional configuration of the Ali Cloud platform,so that the platform can realize the data visualization display and intelligent alarm function.According to the Petri net model,the traditional single threshold control is improved to achieve integrated control of multiple sources of information,improving the system’s data detection accuracy and response speed,compared with traditional single threshold detection,the accuracy is significantly improved.The system was tested under laboratory test conditions,and the data acquisition accuracy of the system sensor,data transmission performance of the NB module,data visualization processing capability of the cloud platform and intelligent alarm function were tested respectively.The experimental results show that the sensors collect data accurately,the data transmission is stable and reliable,and the system can achieve accurate data collection,wireless data transmission and remote monitoring functions.Figure[77]table[5]reference[81]...