项目编号：mcuclub-dz-256
设计简介：
项目名：气象监测（实物）
项目编号：mcuclub-dz-256
单片机类型：STM32F103C8T6
具体功能：
1、通过DHT11检测温湿度
2、通过MQ-2监测烟雾值
3、通过MQ-135监测有害气体值
4、通过雨水检测模块检测雨量
5、通过光敏电阻检测光照值
6、通过OLED显示屏显示数据
7、通过WIFI模块，手机端可获取测量数据
总字数：14595
实物链接：点击跳转
设计说明书链接：点击跳转
开题报告链接：点击跳转
答辩PPT链接：点击跳转
摘 要
随着科技的发展，气象观测系统逐渐走向智能自动化。传统气象站存在体积大、传输距离端、操作复杂等原因，若依然采用传统方法进行气象预报，步进会造成严重的数据资源浪费，还会造成自然灾害的频率增加。因此，气象领域迫切需要某种高效提升气象监测与预报效率的自动化设备。
在分析天气预报需求后，本文设计并开发了一款自动气象监测预报系统，该系统可对温度、湿度、烟雾值、有害气体浓度、雨量、光照强度等六个气象参数进行采集，并通过传感器对实时气温进行精细监测。本系统主要由气象数据监测端与无线通信WiFi端两部分构成，监测端的主控芯片将传感器采集的数据处理后，通过无线通信端传输至云端服务器的数据库中，用户可通过手机端实时监测当前气象信息，也可以通过显示屏实时监测当前气象信息，各模块相互配合，共同完成气象监测系统的开发。
经过对系统的总体测试结果表明: 系统的气象监测功能满足气象局对自动气象站的可靠性与低功耗需求，基于深度学习的气温预测模型研究也拓展了区域化气温预报方法，同时表现出良好的预测能力。本系统兼具良好的应用与发展前景。
关键词：STM32单片机；气象监测；传感器；WiFi；数据采集
Abstract
With the development of technology, meteorological observation systems are gradually moving towards intelligent automation. Traditional weather stations have reasons such as large size, transmission distance, and complex operation. If traditional methods are still used for weather forecasting, stepping will cause serious waste of data resources and increase the frequency of natural disasters. Therefore, there is an urgent need for some efficient automated equipment in the meteorological field to improve the efficiency of meteorological monitoring and forecasting.
After analyzing the requirements for weather forecasting, this article designs and develops an automatic meteorological monitoring and forecasting system. The system can collect six meteorological parameters, including temperature, humidity, smoke value, harmful gas concentration, rainfall, and light intensity, and fine monitor real-time temperature through sensors. This system mainly consists of two parts: the meteorological data monitoring end and the wireless communication WiFi end. The main control chip of the monitoring end processes the data collected by the sensor and transmits it to the database of the cloud server through the wireless communication end. Users can monitor the current meteorological information in real time through the mobile phone end or through the display screen. Each module works together to complete the development of the meteorological monitoring system.
The overall test results of the system show that the meteorological monitoring function of the system meets the reliability and low power consumption requirements of the meteorological bureau for the Automatic weather station. The research on the temperature prediction model based on deep learning also expands the regional temperature prediction method, and shows good prediction ability. This system has both good application and development prospects.
Key words: STM32 microcontroller; Meteorological monitoring; Sensors; WiFi; data acquisition
目 录
1.绪论
1.1 研究背景及其研究意义
1.2 国内外研究现状
1.3 研究目标和组织结构
1.4 系统设计原则
2.系统方案设计
2.1 整体方案设计
2.2 主要器件选型选择
2.2.1 主控芯片方案选择
2.2.2 显示模块方案选择
2.2.3 烟雾检测模块方案选择
3.硬件电路设计
3.1 主控模块电路
3.2 MQ-135空气子良检测模块电路
3.3 MQ-2烟雾检测模块电路设计
3.4 光照强度检测模块电路
3.5 雨滴监测模块
3.6 DHT11温湿度检测模块电路
3.7 显示模块电路
3.8 WIFI无线传输模块电路
4.系统程序设计
4.1 编程软件介绍
4.2 系统主流程设计
4.3 温湿度检测模块子流程
4.4 OLED显示流程设计
4.5 WiFi模块子流程设计
5.实物调试
5.1 实物总体设计
5.2有害气体浓度浓度模块实物测试
5.3光照强度模块实物测试
5.4雨量模块实物测试
5.5烟雾浓度模块实物测试
5.6温湿度监测实物测试
总结
参考文献
致谢
附录
附录A：原理图
附录B：PCB
附录C：程序