The Control System Design And Control Strategy Research Of The Fire Fighting Door And Windows

With the development of social economy,modern cities are developing in the direction of concentration of production,concentration of population,centralization of buildings and concentration of wealth.It leads to the increase of fire hazards and a serious challenge to the fire control.The intelligent control of large buildings,such as large stores,leisure places,hospitals,schools,and so on,sets a higher request to the intelligent building.This paper introduces a control system of door and window for fire fighting,which monitors the environmental signals and alarms the fire in time.At the same time,it can also realize the intelligent control of the doors and windows of large buildings.First,this paper proposes a network topology based on CAN bus.And it focuses on the analysis of the technical advantages of CAN bus and the frame structure of the CAN bus.Through the detailed exposition of the CAN bus,the feasibility of using the CAN bus as the communication bus is verified.Then,this paper introduces the design of the hardware of the fire fighting control system,and it discusses the principle of each part of the system in detail.The design of the hardware is divided into three parts: the design of the main control board,the design of the driving board and the design of the peripheral module.Then this paper designs the communication protocol of the system,the ModBus protocol is used as the communication protocol of the system.At the end of this part,we discuss the mechanism of system communication and the detailed analysis of the specific steps of this system.Then we describe the multi-information fusion algorithm.In this part,we introduce the principle of the multi-information fusion algorithm,and then we propose a fusion algorithm for the multi-information fusion algorithm in this system.The system uses BP neural network to fuse the temperature,the concentration of carbon monoxide and the concentration of smoke.Then the D-S evidence theory is used to fuse the results of the BP network.Multi-information fusion algorithm overcomes the shortcomings of the traditional single sensor,and it enhances the sensitivity and reliability of fire detection.Finally,this paper summarizes the design of the system and clarifies the direction of future research.