下面是小编为大家整理的毕业论文-智慧消防系统监控分机软件设计与实现,供大家参考。
I 智慧消防系统监控分机软件的设计与实现 摘 要 近年来，由于城市人口越来越密集，城市区域面积日益扩大，建筑物也随之增多，因建筑材料极易燃烧，重大火灾事故频频发生。如何有效预防火灾、及时控制火灾的蔓延成为人们思考的重要问题。目前消防系统存在维护难，火灾探测不准确、信息孤岛等缺点，无法主动有效预防火灾，一旦发生火灾将造成巨大损失。针对以上不足，智慧消防系统是解决问题的关键。智慧消防采用物联网，人工智能，大数据、云计算等新技术，有效整合各个设备信息，实时智能分析处理火灾隐患数据，实现国家智慧消防防控。
智慧消防系统监控分机主要解决火灾探测、系统联动以及性能稳定三个关键问题。本文采用 BP 神经网络、遗传算法、模糊逻辑推理等智能算法研究了火灾智能探测功能，并通过多传感器和图像两方面火灾对火灾进行进行联合探测，提高探测的及时性和准确性。在系统联动方面，本文根据报警与联动的逻辑关系，制定联动设备启动顺序，采用一应一答的方式，实现联动控制。在稳定性方面，本文结合实际应用情况，主要分析解决网络异常以及程序异常情况下的数据处理方法。
本文构建的智慧消防系统分为终端设备、监控分机和消防管理平台三部分。主要工作包括监控分机的需求分析、总体结构设计、软件设计与实现。围绕需求和关键问题对监控分机软件进行详细的设计与实现，包括存储功能，通信功能、火灾探测功能，报警功能、联动控制功能、异常处理功能及界面操作功能。在通信方面，使用 FIFO+HASH 结构实现 CAN 数据帧的拆分和重组，通过双队列结构实现数据的优先级处理。报警分为火灾报警和故障报警，在火灾报警中采用联合判断+人工确认的机制，提高火灾探测的准确性。
最后，设计测试方案，对监控分机软件的功能和性能进行测试。测试结果表明，本文所设计的监控分机软件符合要求。
关键词：智慧消防，监控分机，遗传算法，BP 神经网络，联合探测
Abstract
II Design and Implementation of IntelligentFire Control System Monitoring Software Abstract In recent years, the city’s population is more and more intensive, city area is expanding and the number of buildings is also increasing. Because building materials are easily burning, the significant fire events occur frequently. How to prevent the fire effectively, to control the spread of fire has become an important problem what people are thinking. Currently, the fire protection system has some shortcomings, difficult maintenance, inaccurate fire detection, information islands, so on, it can’t effectively prevent fire automatically. Breaking out of fire will cause huge losses. In view of the above shortcomings, intelligent fire control system is the key to solve the problem. The intelligent fire control adopts techniques of networking, artificial intelligence, big data, cloud computing and so on, the effective integration of various information processing equipment, real time intelligent analysis and processing of fire hidden data achieve intelligent fire control of nation.
The intelligent fire control monitoring system mainly solves three key issues, fire detection, system linkage and stable performance. This paper uses the BP neural network, genetic algorithm, fuzzy logic inference algorithm to study the function of intelligent fire detection, and take the joint detection on fire by two aspects of Multi-sensor and image, improving the timeliness and the accuracy in the system. In system linkage, this paper according to the logical relationship between alarm and linkage, establish the startup sequence of a linkage device, and take a way of one answer realizing the linkage control. In stability, combined with the practical application, it mainly analyze the method of data processing under the condition of solving network exceptions and program exception. The intelligent fire control system developed in this paper is divided into three parts, the terminal equipment, the monitor subsystem and fire management platform. The main work includes the demand analysis of the monitor extension, the overall structure design, design and implementation of software. Based on the needs and key problems, design and implement of extension monitor software, including storage
Abstract
III function, communication function, fire detection function, alarm function, gang control function, exception handling function and interface function. In communication, using the structure of FIFO and HASH to realize the split and reform of CAN data frame, using dual queue structure to realize the priority of data processing. The alarming is divided into fire alarm and fault alarm, the fire alarm takes the mechanism of joint judgment and artificial confirmation to improve the accuracy of fire detection. Finally, the test scheme is designed to test the function and performance of the software. The test results show that the software designed in this paper meets the requirements.
Keywords: intelligent fire control, monitoring extension, genetic algorithm, BP neural network, joint detection
目录
IV
目 录
图录 ............................................................................................................................... VII 表录 ................................................................................................................................. X 注释表 ............................................................................................................................ XI 第 1 章 绪论 .................................................................................................................... 1 1.1 研究背景和意义 ................................................................................................. 1 1.2 国内外发展状况 ................................................................................................. 2 1.2.1 国外发展状况 ............................................................................................ 2 1.2.2 国内发展状况 ............................................................................................ 3 1.2.3 火灾探测算法发展现状 ............................................................................ 4 1.2.4 目前消防系统存在的问题 ........................................................................ 5 1.3 论文的主要工作 ................................................................................................. 5 1.4 论文组织结构 ..................................................................................................... 6 第 2 章 监控分机总体分析与设计 ................................................................................ 7 2.1 智慧消防系统概述 ............................................................................................. 7 2.1.1 智慧消防系统的功能 ................................................................................ 7 2.1.2 智慧消防系统的结构 ................................................................................ 7 2.2 监控分机需求分析 ........................................................................................... 10 2.2.1 功能需求分析 .......................................................................................... 10 2.2.2 性能需求分析 .......................................................................................... 13 2.3 监控分机的总体结构设计 ............................................................................... 13 2.4 监控分机软件的方案设计 ............................................................................... 15 2.4.1 监控分机软件架构 .................................................................................. 15 2.4.2 监控分机应用程序框架的设计 .............................................................. 15 2.4.3 监控分机系统软件选型 .......................................................................... 17 2.5 监控分机关键问题研究 ................................................................................... 19 2.5.1 火灾探测技术 .......................................................................................... 19
目录
V 2.5.2 系统联动 .................................................................................................. 20 2.5.3 稳定性 ...................................................................................................... 20 2.6 本章小结 ........................................................................................................... 20 第 3 章 监控分机火灾探测技术的研究 ...................................................................... 21 3.1 火灾探测技术研究 ........................................................................................... 21 3.2 火灾多传感器探测研究 ................................................................................... 22 3.2.1 遗传算法优化 BP 神经网研究 ................................................................ 23 3.2.2 仿真分析 .................................................................................................. 25 3.3 火灾图像探测研究 ........................................................................................... 28 3.3.1 火灾图像探测研究 .................................................................................. 28 3.3.2 仿真分析 .................................................................................................. 30 3.4 火灾联合判断 ................................................................................................... 31 3.5 火灾联合探测技术在监控分机上的应用 ....................................................... 33 3.6 监控分机在实验大楼中的应用举例 ............................................................... 34 3.7 本章小结 ........................................................................................................... 36 第 4 章 监控分机软件详细设计与实现 ...................................................................... 37 4.1 监控分机软件功能设计 ................................................................................... 37 4.2 数据存储功能的设计与实现 ........................................................................... 38 4.3 通信功能的设计与实现 ................................................................................... 42 4.3.1 监控分机通信协议设计 .......................................................................... 42 4.3.2 通讯 I/O 模块设计与实现 ....................................................................... 44 4.4 火灾探测功能的实现 ....................................................................................... 48 4.4.1 传感器 BP 神经网络训练的实现 ............................................................ 48 4.4.2 图片 BP 神经网络训练的实现 .............
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