基于STM32单芯片微处理器的智能消毒控制系统的设计,使用YOLO算法
Xueyi Wang1, Xianrong Li2, Haiying Du2
1College of Innovation and Entrepreneurship Education, Dalian Minzu University, Dalian, 116600, Liaoning, China. 20010359@dlnu.edu.cn.
Scientific reports
|December 31, 2024
概括
本研究介绍了使用STM32微控制器和YOLO算法对公共所的智能消毒系统. 该系统根据人群密度动态调整消毒,降低病毒传播风险.
科学领域:
- 工程 工程师 工程师 工程师
- 计算机科学 计算机科学
- 公共卫生 公共卫生
背景情况:
- 随着COVID-19的蔓延,公共场所需要加强卫生和防疫措施.
- 公共场所的传统消毒方法往往是低效的,缺乏动态适应.
研究的目的:
- 为公共空间,特别是公共所设计和实施智能闭环消毒控制系统.
- 根据实时人群密度和环境因素,动态优化消毒策略.
主要方法:
- 使用STM32微控制器作为中央控制单元.
- 集成模块用于图像采集,喷雾,消毒剂水平控制,访问控制,语音广播,显示和数据存储.
- 采用你只看一次 (YOLO) 算法来准确识别人类目标和估计人群密度.
- 实施的比例集成差异化 (PID) 和逻辑控制,用于管理消毒剂度和液体水平.
- 开发了一种基于人群密度值进行优化的门禁系统.
主要成果:
- 该系统通过传感器和图像处理有效监控消毒剂水平和人群密度.
- YOLO算法实现了动态人群密度评估,为实时喷策略的调整提供了信息.
- 基于人群密度的优化访问控制参数,提高安全性和效率.
- 实现了智能,全周期,闭环消毒控制.
结论:
- 开发的智能消毒系统为公共所的卫生设施提供了一个动态和优化的方法.
- 该系统通过基于占用率的智能消毒管理,有效降低病毒传播风险.
- 微控制器,人工智能算法和传感器网络的整合为公共卫生挑战提供了强大的解决方案.
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