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基于STM32的智能绿色风扇的设计与实现

摘要

传统家用及小型场景风扇多为人工手动操控模式,存在智能化程度低、温控调节滞后、能耗利用率差、无人体感应适配、缺少安全监测与定时管控功能等缺陷,无法根据环境温度、人员状态及场景安全状况实现自适应智能化运行,难以满足当下节能化、智能化、自动化的通风温控需求。本文提出一种基于STM32F103C8T6单片机的智能绿色风扇设计与实现方案。系统集成环境温度检测、人体感应识别、时钟定时控制、烟雾火灾监测、本地参数设置、人机交互显示、WiFi无线远程管控等核心功能。通过DS18B20温度检测模块、D203S人体热释电模块、DS1302时钟模块、MQ-2烟雾检测模块分别实时采集环境温度、现场人员状态、系统时间及环境烟雾浓度数据,依托MX1508直流电机驱动模块控制风扇运行状态与转速。系统可根据预设温度阈值实现自适应调速控制,温度高于最大阈值且检测到有人时风扇高速运转,温度处于上下阈值区间且有人时风扇低速运转,温度低于最小阈值时风扇自动停机;同时具备火灾安全防护与定时启停功能,检测到烟雾火灾隐患时立即关停风扇,支持自定义风扇启停时间。设备搭载独立按键,可手动设置温度控制阈值、切换设备运行模式,手动模式下可自主调节风扇运行速度;搭配OLED显示屏实时本地展示环境温度、人体感应状态、风扇挡位及运行速度等核心参数。系统通过ESP8266-12F WiFi模块将实时监测数据同步上传至手机移动端,用户可远程查看环境温度、现场人员状态等数据,同时可远程设置温度阈值、风扇定时启停时间,实现风扇远程启停与调速控制。本系统有效解决了传统风扇手动操控繁琐、温控适配性差、能耗较高、无安全防护、管控不便等问题,实现了风扇运行的温度自适应调节、人体感应智能启停、定时精准管控、火灾安全防护及移动端远程智能化控制,兼顾了使用便捷性与节能安全性,可广泛适用于家庭、小型办公场所等场景,具备较高的实用价值与推广应用前景。

关键词:STM32单片机;智能风扇;温度自适应控制;物联网远程管控;安全监测

Abstract

Traditional fans used in household and small scenarios are mostly controlled manually, which have defects such as low intelligence level, delayed temperature adjustment, poor energy utilization efficiency, absence of human induction adaptation, and lack of safety monitoring and timing management functions. They cannot realize adaptive and intelligent operation according to ambient temperature, personnel status and scenario safety conditions, and fail to meet the current energy-saving, intelligent and automatic ventilation and temperature control requirements. This paper proposes a design and implementation scheme of an intelligent green fan based on STM32F103C8T6 microcontroller. The system integrates core functions including ambient temperature detection, human body induction recognition, clock timing control, smoke fire monitoring, local parameter setting, human-computer interaction display and WiFi wireless remote management. The DS18B20 temperature detection module, D203S human pyroelectric module, DS1302 clock module and MQ-2 smoke detection module are used to collect real-time data of ambient temperature, on-site personnel status, system time and ambient smoke concentration respectively, and the MX1508 DC motor drive module controls the operating state and speed of the fan. The system can realize adaptive speed regulation according to the preset temperature threshold. When the temperature is higher than the maximum threshold and people are detected, the fan runs at high speed; when the temperature is between the upper and lower thresholds and people are present, the fan runs at low speed; when the temperature is lower than the minimum threshold, the fan stops automatically. Meanwhile, it is equipped with fire safety protection and timing start-stop functions, which can immediately shut down the fan when fire hazards are detected, and support customized fan start-stop time. Equipped with independent keys, the device can manually set temperature control thresholds and switch equipment operation modes, and the fan operation speed can be adjusted independently in manual mode. The OLED display screen is matched to locally display core parameters such as ambient temperature, human induction state, fan gear and operating speed in real time. The system synchronously uploads real-time monitoring data to the mobile terminal through the ESP8266-12F WiFi module. Users can remotely view data such as ambient temperature and on-site personnel status, remotely set temperature thresholds and fan timing start-stop time, and realize remote start-stop and speed regulation control of the fan. This system effectively solves the problems of cumbersome manual operation, poor temperature control adaptability, high energy consumption, lack of safety protection and inconvenient management of traditional fans. It realizes temperature adaptive adjustment, human induction intelligent start-stop, accurate timing management, fire safety protection and mobile terminal remote intelligent control of fan operation, taking into account operational convenience, energy saving and safety. It can be widely used in families, small office places and other scenarios, and has high practical value and promotion and application prospects.

Keywords: STM32 Microcontroller; Intelligent Fan; Temperature Adaptive Control; IoT Remote Management; Safety Monitoring

目  录

基于STM32的智能绿色风扇的设计与实现

摘要

Abstract

第1章 绪论

1.1 研究背景及研究意义

1.1.1 研究背景

1.1.2 研究意义

1.2 国内外研究现状

1.2.1 国内研究现状

1.2.2 国外研究现状

1.2.3 研究现状总结

第2章 系统总体方案设计

2.1 系统方案设计

2.2 主要模块方案选择

2.2.1 主控模块方案选择

2.2.2 温度检测模块方案选择

2.2.3 人体感应模块方案选择

2.2.4 时钟定时模块方案选择

2.2.5 烟雾检测模块方案选择

2.2.6 电机驱动模块方案选择

2.2.7 显示模块方案选择

2.2.8 WiFi通信模块方案选择

第3章 系统硬件电路设计

3.1 主控模块电路

3.2 DS18B20温度检测模块电路

3.3 D203S人体热释电模块电路

3.4 DS1302时钟定时模块电路

3.5 MQ-2烟雾检测模块电路

3.6 MX1508电机驱动模块电路

3.7 OLED显示模块电路

3.8 按键设置模块电路

3.9 ESP8266-12F WiFi无线通信模块电路

第4章 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 OLED显示屏子流程设计

4.4 独立按键子流程设计

4.5 温度检测模块子流程设计

4.6 人体热释电感应模块子流程设计

4.7 烟雾检测模块子流程设计

4.8 时钟模块子流程设计

4.9 直流电机速度调节子流程设计

4.10 WiFi模块子流程设计

第5章 系统仿真测试

5.1 仿真测试环境与方案

5.2 环境温度采集与风扇调速仿真测试

5.3 人体感应识别功能仿真测试

5.4 时钟定时管控功能仿真测试

5.5 烟雾火灾安全防护仿真测试

5.6 按键参数设置与模式切换仿真测试

5.7 OLED人机交互显示仿真测试

5.8 WiFi云端通信与远程管控仿真测试

5.9 仿真测试小结

第6章 系统实物测试

6.1 整体实物测试

6.2 环境温度检测与风扇调速功能测试

6.3 人体感应检测模块功能测试

6.4 DS1302时钟定时模块功能测试

6.5 MQ-2烟雾检测安全防护模块测试

6.6 独立按键设置与模式切换功能测试

6.7 OLED显示模块功能测试

6.8 ESP8266-12F WiFi云端通信模块测试

6.9 整体实物测试小结

第7章 总结与展望

7.1 总结

7.2 未来展望

致谢

参考文献

附录1:原理图

附录2:pcb图

附录3:主程序

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