汽车玻璃智能除雾系统设计

汽车玻璃智能除雾系统设计(论文14000字,源程序,电路图,答辩PPT)
摘要：针对目前因挡风玻璃起雾造成驾驶员视线模糊不清，从而引发道路交通事故的问题，本论文设计了一种汽车玻璃智能除雾系统。该系统联合利用温湿度检测和红外线探测方式对汽车玻璃是否起雾进行实时检测。在温湿度检测模块中，通过测得的车内某一点的温湿度来计算出此时的露点温度，再将露点温度与汽车玻璃温度进行比较，从而判断玻璃是否有起雾迹象；红外线探测模块通过接收到的红外线强度来检测玻璃起雾的程度。该系统能够自动检测挡风玻璃是否起雾，并在检测到玻璃起雾后，能自动打开汽车的暖风系统对玻璃进行除雾。本设计采用STM32作为除雾系统的核心，其他模块包括：电源、温湿度检测模块、红外线探测模块等。
关键词：挡风玻璃；除雾；STM32；温湿度；红外线

The design of vehicle intelligent defogging system
Abstract:An intelligent deicing system for automotive glass is designed to solve the traffic accident caused by the blurred vision due to the fogged-up windshield. The windshield is real-time monitored through the temperature and humidity detection and infrared detection to estimate whether the glass is fogging or not.In the temperature and humidity detection module，the temperature of the dew point at this point is calculated by measuring the temperature and humidity of a certain point in the vehicle. And then the dew point temperature and the glass temperature were compared to determine whether the glass will be fogging.The infrared detection module detects the degree of glass fogging by the intensity of infrared rays received.The system can automatically detect whether the windshield is fogging, and after detecting the glass fogging, it will turn on the car's heater system to defrost the glass. The design uses STM32 as the core of the vehicle intelligent demisting system, other modules include: temperature and humidity detection module, infrared detection module, power and so on.
Keywords: windshield; defogging; STM32; temperature and humidity；infrared ray
 

目 录
1 引言    1
1.1研究意义    1
1.2 研究现状    2
1.3 本文工作内容    3
2 设计方案论证    4
2.1 设计目的    4
2.2 本设计的技术方案    4
2.2.1单片机主控芯片的选择    5
2.2.2 温湿度检测模块及露点温度计算    5
2.2.3 红外探测模块的设计    6
2.2.4 汽车暖风控制模块设计    6
2.2.5 LED显示模块模块设计    6
2.2.7电源模块设计    6
2.3 本设计所带来的优点和效果    6
3系统硬件设计与实现    7
3.1系统硬件概述    7
3.2 主要单元电路设计    9
3.2.1电源电路    9
3.2.2 单片机最小系统    10
3.2.3红外探测电路    11
3.2.4温湿度检测电路    12
3.2.5汽车暖风控制电路    12
3.2.6 LED显示模块设计    13
4 系统软件设计与实现    14
4.1 整体设计    14
4.2温湿度采集设计    16
4.3 A/D采集设计    16
5 系统调试    17
5.1 软件调试    18
5.2 硬件调试    18
6 结论    22
参考文献：    23
致谢    23