摘要感知时代的来临与工业 4。0 的兴起为传感器技术、无线传感网技术和物联网技术 在工业领域的发展创造了契机和前景。作为工业的重要领域，现代船舶的自动化程度 日趋提高。船舶上各个工作区域和生活区域的温度是船舶环境安全和船舶设备正常运 行的重要指标，因此必须对船舶温度进行实时监控。81303

本研究使用开源硬件平台 Arduino 和树莓派开发了无线传感器网络高温报警系 统。本文主要研究工作包含以下几点：一是设计感知层传感器节点，实现感知层数据 采集和处理；二是基于 ZigBee 无线传感网技术，设计系统网络层，实现感知数据传 输；三是设计自控平台层总控制节点，实现总控制节点对温度的处理和逻辑判断，然 后控制显示模块、报警模块和制动模块；四是设计实现应用层，包括非联网用户互动 界面和联网数据上传到物联网平台。整个系统在传感器类型和传感器节点数量方面具 有低成本和高扩展性，适合于一系列船舶高温环境下的监测应用。同时可以扩展到任 何高温区温度监测应用中。考虑到不同温度监测环境对精度要求不同，传感器网络节 点在部署上仍需改进，且监测区域的温度数据需要进行算法处理，再送至总控制节点， 以减少数据冗余度。系统在移动端应用上仍需改进和优化，系统可扩展本地数据库和 云端数据库支持功能，增强系统可用性。

本文详细介绍了该系统的技术平台、整体设计以及硬件子系统和软件子系统的设 计与实现。同时通过一些实验结果和测试结果来验证系统的实用性和可靠性，具有实 际应用意义。

毕业论文关键词：Arduino；树莓派；无线传感网；高温监测

Abstract The coming of perception age and the rise of industrial 4。0 create an opportunity and prospects for the development of sensor technology, wireless sensor network technology and networking technology in the industry。 As an important domain of industry, the level of automation of modern ships is rising。 The temperature of each work area and living area on the ship is an important indicator of environmental safety and normal operation, so we have to monitor the ship's temperature in real time。

This study developed a wireless sensor network monitoring and alarm system using open-source hardware platforms, Arduino and Raspberry Pi。 The main work of this paper includes the following points: First, design sensor nodes of the sensing layer to collect and process data from the sensing layer。 Second, design the network layer of the system which based  on  the   ZigBee   wireless   sensor   network   technology   to   transmit   sensory data 。Third ,design the master control node of the automation platform layer to process the temperature data and determines logically, then to control the display module,  alarm module and brake module。 Fourth, design and implement the functions of the application layer, including non-networked interactive user interface and the data uploaded to the platform of Internet of Things。 The system is low-cost and highly scalable both in terms of the type of sensors and the number of sensor nodes, which makes it well suited for a wide variety of monitoring applications related to high-temperature environment of the ship。 At the same  time  it  can  be  extended  to  any  hot  zone  temperature  monitoring applications。 Taking into account the different temperature monitoring environment on the accuracy requirements are different, Node sensor network still need to be improved on the deployment and the temperature data of monitoring areas need to be  a  reasonable algorithm processing, and then sent to the master control  node  to  reduce  data redundancy。 The system still needs improve and optimize the mobile application and expands the functions of the local database and cloud database support to enhance system availability。