基于STM32的森林防火监测终端的设计与开发

发布时间：2018-05-08 23:01

本文选题：森林火灾 + 环境监测　；参考：《西安科技大学》2017年硕士论文

【摘要】：森林在维护地球生态平衡中起着重要作用,森林火灾对森林环境造成的危害不可估计,开发森林防火监测系统,实时监控森林环境的参数指标,实现森林火灾的智能监控与报警,具有重要的社会意义。充分分析森林防火监测系统的实际需求,设计了由环境数据采集节点、环境监测终端和环境数据服务器三部分组成的森林环境监测系统。森林环境数据采集节点由CC2530控制,外围拓展湿温度、烟雾浓度、一氧化碳浓度、火焰等环境数据采集模块,各个采集节点通过ZigBee组成无线传感器网络,将采集到的湿温度、烟雾浓度、一氧化碳浓度、火焰等信息发送到环境监测终端;环境监测终端开发中选用STM32作为主控制器,将数据采集节点上传的数据进行汇总和处理分析,然后通过GPRS模块发送到远程服务器端;服务器端接收环境监测终端上传的环境数据,存入数据库同时对数据进行对比分析,建立基于BP神经网络的火灾预警模型,运用数据融合算法将传感器采集的数据融合后对森林火灾发生的概率进行预测,判断森林环境处于明火、阴燃和无火中的何种状态,并将实际值与期望值进行对比,误差满足系统要求。这三部分分工明确、协调工作,实现森林环境数据共享、异常报警等。测试结果表明,森林防火监测系统运行稳定,能够实现对森林中的湿温度、烟雾浓度、一氧化碳浓度、火焰等环境数据的采集,并实现数据的远程发送、远程报警等功能。数据采集节点能实现森林环境各项参数的采集和数据上传;环境监测终端可以实现对多采集节点发送数据的处理分析;远程监控服务器可以实现环境监测终端上传数据的接收,同时进行分析判断及危险报警提示,为森林正常环境的维持提供可靠保障。
[Abstract]:The forest fire plays an important role in maintaining the ecological balance of the earth. The harm caused by forest fire to the forest environment can not be estimated. It is of great social significance to develop the forest fire monitoring system, monitor the parameters of the forest environment in real time, and realize the intelligent monitoring and alarm of the forest fire. The forest environment monitoring system consists of three parts: environmental data acquisition node, environmental monitoring terminal and environmental data server. The forest environment data acquisition node is controlled by CC2530, and the peripheral data acquisition module is developed on the periphery of wet temperature, smoke concentration, carbon monoxide concentration, flame and so on. Each collection node is composed of ZigBee. The wireless sensor network sends the information of wet temperature, smoke concentration, carbon monoxide concentration and flame to environmental monitoring terminal. In the development of environmental monitoring terminal, STM32 is selected as the main controller, and the data uploaded by data acquisition node is collected and processed and analyzed, and then sent to the remote server side through the GPRS module; The terminal receives the environmental data uploaded by the environmental monitoring terminal, and puts it into the database at the same time to compare and analyze the data, establish a fire warning model based on the BP neural network, and use the data fusion algorithm to pretest the probability of the forest fire after the data fusion of the sensor, and judge the forest environment in the fire, the smoldering and the fire free. In what state, the actual value is compared with the expected value, and the error meets the requirements of the system. The three parts have a clear division of labor, coordinated work, the sharing of forest environment data, the abnormal alarm, etc. test results show that the forest fire monitoring system runs steadily, and can achieve wet temperature, smoke concentration, carbon monoxide concentration and fire in the forest. The data collection and remote alarm can be realized. The data acquisition node can realize the collection and data uploading of various parameters of the forest environment; the environment monitoring terminal can realize the processing and analysis of the data sent by the multiple acquisition nodes; the remote monitoring server can realize the data uploaded by the environmental monitoring terminal. Receiving, analyzing, judging and warning the danger at the same time, providing reliable guarantee for the maintenance of normal forest environment.

【学位授予单位】：西安科技大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：TP274;S762

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