| The progress of technology and social development will certainly provoke the rise of people’s demand for electricity,and the problems of safe production,transformation,transmission and distribution of electricity will become more and more prominent.The high-voltage DC transmission is an important work in the production and construction,so it is particularly important to ensure the stable work of high-voltage DC transmission.The safe and reliable operation of the high-voltage DC converter valve(thyristor)is a vital part of DC transmission,to ensure its safe operation of the fire problem must be considered,so the design of a fire monitoring system to monitor its operation is an urgent consideration.The Internet of Things(IoT)technology is booming with the development of 4G/5G communication technology.Combining IoT technology with HVDC converter valve fire monitoring,using its simplicity,intelligence and other features to achieve the reduction of monitoring cost is a feasible method.This paper integrates sensor technology,cloud platform technology,Petri network model and NB-IoT to realize the intelligence of fire monitoring system.The vertical design of this paper is divided into three parts:perception layer,network layer and application layer,where the perception layer realizes the data collection of temperature and humidity,smoke and flame in the valve hall,the network layer is the NB-IoT communication module and the cloud platform and other devices to realize the uploading and sending of data transmission,and the application layer is to realize the display and processing of data.The horizontal design of this paper is to integrate the sensing layer of the system using Petri network and design a system model that gives three operating states of health,warning and danger according to the collected system data to realize control actions and achieve no false alarm and no missed alarm processing for fire monitoring.The system design as a whole consists of two parts:hardware and software.The main task of the hardware part is to complete the hardware selection and design of both the acquisition terminal and data communication.The acquisition terminal uses STM32F103 as the control core and ME3616 as the feather for data communication.The system sensing terminal hardware selection and design consists of four parts:main control,servo,acquisition and power supply,and the network communication hardware is mainly NB-IoT module.The software part is composed of four parts:acquisition program design,petri network control strategy design,Ali cloud platform development and Android cell phone client development.The system can be tested to show that the cloud side of the high-voltage DC converter valve fire monitoring system can complete data transfer and storage,and the data at the collection end can be processed and displayed at the management end after being transferred from the cloud side,and the improvement of the traditional single threshold control is completed based on the Petri net model,and the ideal control of multiple information factors is completed,and the accuracy and reliability of the system is greatly improved,and the successful detection rate is increased by The successful detection rate is improved by about 4%-21%compared with the traditional single threshold.The system design meets the requirements and provides a solution for HVDC converter valve fire monitoring,which has some practical application value.Figure[75]Table[7]Reference[65]... |
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