消防环境感知与智能检测处理分析

发布时间：2018-02-05 23:45

本文关键词： 物联网传感器火灾探测数据分析监测　出处：《南京邮电大学》2017年硕士论文　论文类型：学位论文

【摘要】：随着一个国家的意识形态与基本经济状况的发展,人们对火灾的预防与控制的关注程度也在发展。早期的智慧消防系统的可靠性、灵敏性和可扩展性较差,并且在后续的火灾应急管理以及救援扑灭中无法发挥更进一步的作用;新型火灾感知系统也有提供火灾数据的高级功能,却无法对火灾数据进行提炼,导致火灾数据不直观,更容易导致信息过载等问题的产生。因此,在现有的新型火灾探测系统基础上,除了保证其可靠性灵敏性,应开发消防系统的数据智能处理分析功能。本文设计了一种室内环境下的火灾检测报警方法。该方法旨在辅助火灾监测,分析火灾数据和火灾形势预警。该火灾监测报警方法的特征主要归结为:多类型传感器现场检测、云端火灾信息处理和异地监控报警。多类型的传感器现场检测具体为温度、火焰、烟雾传感器数据;云端信息处理包括监测环境是否发生火灾的判断、自动进行报警控制、火灾是否发生轰燃、火灾持续时间;异地监控报警采用网页实现实时数据的图标显示、报警器远程开关控制。本文提出一种用于火灾多传感器输入组合的朴素贝叶斯分类算法作为特征提取算法,在该特征提取算法的基础上结合火灾模型,提出室内火灾场景下的火灾特征数据分析。本文实现了一种基于该方法的智慧消防系统,并对该系统进行了软硬件的实现并进行了系统调试。该系统包括消防环境感知模块、智能检测处理分析模块和客户端。此系统的应用设计在室内环境下,消防环境感知模块能够通过多类型、多位置的传感器节点实现有效的火灾感知,并将采集的环境信息汇总上传;智能检测处理分析模块的主要工作包括数据的上传处理路径的设计实现以及火灾检测处理算法的设计,该模块能够通过相关通信协议将环境信息上传至服务器和数据库,服务器通过本文中设计的算法进行计算判断是否发生了火灾,并将结果上传至数据库保存;为了实现系统的设计思想,客户端部分设计了一个火灾监控网页,在联网环境下实现了异地监控。由此实现了消防环境感知与智能检测处理分析的架构。
[Abstract]:With the development of ideology and basic economic situation of a country, people pay more attention to the prevention and control of fire. The early intelligent fire protection system has poor reliability, sensitivity and expansibility. And in the follow-up fire emergency management and rescue and extinguishing can not play a further role; The new fire sensing system also has the advanced function of providing fire data, but it can not refine the fire data, which leads to fire data is not intuitive, more easily lead to information overload and other problems. On the basis of the existing new fire detection system, besides ensuring its reliability and sensitivity. In this paper, a fire detection and alarm method in indoor environment is designed. The purpose of this method is to assist in fire monitoring. Analysis of fire data and fire situation warning. The main characteristics of the fire monitoring and alarm method are: multi-type sensor field detection. Cloud fire information processing and remote monitoring and alarm. Multiple types of sensors field detection for temperature, flame, smoke sensor data; Cloud information processing includes monitoring the judgment of fire in the environment, automatic alarm control, fire flashover or not, fire duration; Remote monitoring and alarm uses webpage to display the icon of real-time data and alarm remote switch control. This paper presents a naive Bayesian classification algorithm for fire multi-sensor input combination as feature extraction algorithm. Based on the feature extraction algorithm and fire model, the fire feature data analysis in indoor fire scene is proposed. A intelligent fire fighting system based on this method is implemented in this paper. The system includes fire protection environment perception module intelligent detection processing and analysis module and client. The application of this system is designed in indoor environment. The fire protection environment sensing module can realize the effective fire sensing through multi-type and multi-position sensor nodes, and upload the collected environmental information together. The main work of the intelligent detection processing and analysis module includes the design and implementation of the data upload processing path and the design of fire detection and processing algorithm. The module can upload the environmental information to the server and database through the related communication protocol. The server calculates whether there is a fire or not by the algorithm designed in this paper and uploads the results to the database to save; In order to realize the design idea of the system, the client part designs a fire monitoring web page, realizes the remote monitoring under the network environment, thus realizes the fire protection environment perception and the intelligent detection processing analysis frame.
【学位授予单位】：南京邮电大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：TP212.9;TU892

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