基于模糊神经网络的智能火灾自动探测技术
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摘要
本文在综述神经网络和模糊逻辑的基础上,结合火灾报警系统
    自身的特性,提出一种火灾探测特征模型及一种能够给出火灾预报
    概率的智能算法。这种算法结合了神经网络和模糊逻辑各自的特点。
    它判断的依据是一段时间内探测信号整体的变化趋势。因此,这种
    算法能够较为准确地给出火警预报概率,仿真研究证明了方法的可
    行性。
     在火灾智能报警算法的基础上,本文设计并调试了一块硬件接
    口板。接口板主要完成工控机与外界数据交换的功能。接口板为ISA
    总线标准,以485通讯协议与外界接口。本文实现了接口板的锁存
    工作方式。
     本文还编制了火灾报警系统的上位机软件。上位机软件通过接
    口板获取各回路探测器的信息,并将其反应在软件界面上;同时,
    用户可以将不同的指令通过接口板发送出去,控制每一个探测器的
    运行状态。在上位机软件整体框架的基础上,本文完成了部分关键
    模块程序的编制,如通讯模块、数据库操作模块等。实验证明了设
    计的合理性。
Combining with the character of fire alarm system, this paper puts
     forward a fire detection model and an intelligent arithmetic that can
     present a fire prediction probability on the base of summarizing neural
     network and fuzzy logic. The arithmetic combines with the character of
     neural network and fuzzy logic. It judges on the detection signal changing
     trend in a period. So, the arithmetic could present fire prediction
     probability precisely, and simulation research proves the method feasibility.
    
     The paper designs and debugs a hardware interface board on the base
     of the fire intelligent alarm arithmetic. The board fulfills the exchanging
     data function between industrial controlling computer and outside. The
     board bus standard is ISA, communicating according to 485 protocol. The
     paper fulfills the board locking work mode.
    
     The paper programs the software of fire alarm system. Through interface
     board, the software could get each ioop detector information and response
     information to software interface. At the same time, through interface
     board, user could send out various commands to control any detector
     running status. The paper fulfills part key module programs on the base
     of software whole frame, i. e. communication module, database operation
     module and so on. Experiments prove the rationality of design.
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