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基于STM32的智慧工厂的设计与实现

摘要

规模化智慧工厂管控场景下,厂区人员入侵、门窗开合状态、环境温湿度参数是保障工厂生产安全、设备稳定运行与环境达标管控的核心指标。传统工厂人工巡检管控模式存在监测实时性差、安防预警滞后、环境调控响应迟缓、人工运维成本高、无法实现全天候智能化管控等缺陷,依靠人工巡查的管控方式难以满足现代化智慧工厂的自动化、精细化管理需求。本文提出一种基于STM32F103C8T6单片机与物联网云平台的智慧工厂设计与实现方案。系统集成人体红外安防检测、门窗状态监测、环境温湿度自动调控、本地人机交互、远程视频监控、WiFi无线数据传输、自定义参数阈值、云端数据同步与远程控制等核心功能。通过D203S人体热释电传感器实时检测厂区人员活动状态,搭配KY-003霍尔传感器实时监测工厂门窗开合情况,设备布防状态下检测到异常入侵与门窗开启动作时,即刻触发本地声光报警,并同步实现手机端弹窗震动预警;依托DHT11温湿度检测模块实时采集工厂环境温湿度数据,将监测数据与用户预设温度阈值自动比对,实现智能温控调控,高温时自动启动风扇完成降温作业,低温时联动继电器模块开启加热片与风扇,实现热风升温调控,保障工厂环境温度恒定。系统搭载独立按键,支持布防撤防切换、温度阈值自定义设置、风扇与加热设备手动控制,搭配OLED显示屏实时本地展示设备布防状态、厂区温湿度数据、门窗开关状态及现场人员监测状态;同时搭载摄像头模块实现工厂现场实时画面远程查看与历史画面回放功能,通过ESP8266 WiFi通信模块将现场监测数据、设备运行状态实时上传至物联网云平台,完成数据云端同步,手机移动端可实时接收设备数据、远程切换布防撤防模式、修改温湿度调控阈值、手动控制风扇与加热设备启停。本系统有效解决了传统工厂人工巡检管控效率低、安防预警不及时、环境调控智能化程度低、远程管控不便等痛点,实现智慧工厂安防监测、环境调控、设备管控的全天候自动化运行与远程可视化管理,显著提升工厂智能化、精细化管控水平,具备良好的工业应用价值与推广前景。

关键词:STM32单片机;智慧工厂;物联网;环境智能调控;安防监测;远程控制

Abstract

In the scenario of large-scale smart factory management and control, factory personnel intrusion, door and window opening and closing status, and environmental temperature and humidity parameters are core indicators to ensure factory production safety, stable equipment operation and standard environmental management. The traditional manual inspection and management mode of factories has defects such as poor real-time monitoring, lagging security early warning, slow response of environmental regulation, high manual operation and maintenance costs, and inability to realize all-weather intelligent management. The manual inspection-based management method cannot meet the automatic and refined management requirements of modern smart factories. This paper proposes a design and implementation scheme of a smart factory based on STM32F103C8T6 microcontroller and IoT cloud platform. The system integrates core functions including human infrared security detection, door and window status monitoring, automatic environmental temperature and humidity regulation, local human-computer interaction, remote video monitoring, WiFi wireless data transmission, custom parameter thresholds, cloud data synchronization and remote control. The D203S human pyroelectric sensor is used to real-time detect the activity status of factory personnel, and the KY-003 Hall sensor is adopted to monitor the opening and closing status of factory doors and windows in real time. When abnormal intrusion and door or window opening actions are detected under the system arming state, local sound and light alarms will be triggered immediately, and pop-up window and vibration early warnings will be synchronized on the mobile terminal. The DHT11 temperature and humidity detection module collects real-time environmental temperature and humidity data of the factory, and automatically compares the monitored data with the user-preset temperature thresholds to realize intelligent temperature regulation. The fan is automatically started for cooling at high temperatures, and the relay module is linked to turn on the heating sheet and fan to realize hot air heating at low temperatures, ensuring a constant factory environmental temperature. Equipped with independent keys, the system supports arming and disarming switching, custom setting of temperature thresholds, and manual control of fans and heating equipment. The OLED display screen locally displays the equipment arming status, factory temperature and humidity data, door and window switching status and on-site personnel monitoring status in real time. Meanwhile, the camera module realizes remote viewing of real-time factory on-site pictures and playback of historical pictures. The ESP8266 WiFi communication module uploads real-time on-site monitoring data and equipment operating status to the IoT cloud platform for data cloud synchronization. The mobile terminal can receive equipment data in real time, remotely switch arming and disarming modes, modify temperature and humidity regulation thresholds, and manually control the start and stop of fans and heating equipment. This system effectively solves the pain points of low efficiency of manual inspection and management, untimely security early warning, low intelligence of environmental regulation and inconvenient remote management in traditional factories. It realizes the all-weather automatic operation and remote visual management of security monitoring, environmental regulation and equipment control of smart factories, greatly improves the intelligent and refined management level of factories, and has excellent industrial application value and promotion prospects.

Keywords: STM32 Microcontroller; Smart Factory; Internet of Things; Intelligent Environmental Regulation; Security Monitoring; Remote Control

目  录

基于STM32的智慧工厂的设计与实现

摘要

Abstract

目  录

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 人体检测模块方案选择

2.2.3 门窗状态检测模块方案选择

2.2.4 温湿度检测模块方案选择

2.2.5 执行驱动模块方案选择

2.2.6 显示模块方案选择

2.2.7 无线通信模块方案选择

2.2.8 视频监控模块方案选择

2.2.9 声光报警模块方案选择

第3章 系统硬件电路设计

3.1 主控模块电路

3.2 D203S人体热释电检测模块电路

3.3 KY-003霍尔门窗检测模块电路

3.4 DHT11温湿度检测模块电路

3.5 SRD-05VDC-SL-C继电器驱动模块电路

3.6 OLED显示模块电路

3.7 按键设置模块电路

3.8 声光报警模块电路

3.9 V720视频监控模块电路

3.10 ESP8266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 声光报警模块子流程设计

4.6 温湿度检测模块子流程设计

4.7 人体热释电感应模块子流程设计

4.8 霍尔模块子流程设计

4.9 WiFi模块子流程设计

4.10 继电器模块子流程设计

第5章 系统仿真制作与功能测试

5.1 仿真测试环境与方案

5.2 工厂环境温湿度采集仿真测试

5.3 厂区安防状态监测仿真测试

5.4 智能温控调控功能仿真测试

5.5 人机交互功能仿真测试

5.6 安防声光报警功能仿真测试

5.7 视频监控功能仿真测试

5.8 云端数据交互与远程控制仿真测试

5.9 仿真测试小结

第6章 系统实物制作与功能测试

6.1 整体实物测试

6.2 温湿度检测模块功能测试

6.3 厂区安防检测模块功能测试

6.4 智能温控执行模块功能测试

6.5 视频监控模块功能测试

6.6 OLED显示模块功能测试

6.7 独立按键模块功能测试

6.8 声光报警模块功能测试

6.9 WiFi云端通信模块功能测试

6.10 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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