基于单片机的电子鼻研究(附原理图)(任务书,开题报告,论文11000字,原理图)
摘要
鼻子是人类识别气味的重要器官，但是鼻子对于气体的识别功能是模糊的、主观的，而且受环境影响很大，对于一种特定的气味人类要经过反复训练接触才能够记住气体的气味信息。在传感器技术与计算机技术等一些高新技术快速发展背景下，在人类对嗅觉过程理解不断加深前提下，在某些特殊行业比如化工工业控制、环境检测保护、公安消防预警和医学临床诊断等众多领域行业要求下，电子鼻技术应运而生。
本课题主要研究方法如下：以人类嗅觉系统工作过程为参照，模仿其嗅觉细胞、嗅泡、大脑嗅觉中枢三个工作流程，设计出相对应的气敏传感器整列、信号预处理系统、模式识别系统的电子鼻系统。识别原理是气敏传感器对不同气体的反应速度以及反应峰值是不同的，单片机根据不同反应结果分析出气体性质。具体做法是以STC89C52单片机为核心，气体采集电路、模数转换电路、报警电路、显示电路协调工作，可以实现对二氧化碳气体、丁烷气体和乙醇蒸气的检测识别以及上限值报警。
关键词：单片机气敏传感器气体检测识别
Research of electronic nose based on microcontrollers
Abstract
The nose is an important organ of human odor recognition, smelling the human olfactory system is divided into three steps, first, when the gas molecules and olfactory cell adsorption reaction, the second stage is the olfactory bulb cells responsible for the reaction results before a period of pretreatment process, the last of the nervous system to transfer the results to the brain olfactory center analysis recognition. The recognition function of the nose is vague, subjective and influenced by the environment. For a particular kind of smell, human beings have to be trained repeatedly to keep in mind the smell information of the gas. In the background of the rapid development of sensor technology and computer technology and other high-tech, in the process of deepening understanding of the human sense of smell premise, in some special industries such as chemical industry, environmental protection, detection and control of public security fire warning and medical diagnosis and many other fields of industry came into being under the requirement of electronic nose technology.
The main research methods of this paper are as follows: Based on the working process of human olfactory system, an electronic nose based on MCU is designed to imitate the process of human olfactory system. The specific approach is based on the STC89C52 microcontroller as the core, other peripheral circuits such as gas collecting circuit, analog-to-digital conversion circuit, alarm circuit, display circuit coordination, so as to realize the carbon dioxide gas, butane gas and ethanol vapor detection and limit alarm.
Key Words：Microcontrollers;Gassensor;Gas detection and recognition
目录
摘要 I
Abstract II
第一章绪论 1
1.1课题介绍 1
1.2课题背景 1
1.3课题研对象发展现状与前景 1
1.4课题目的 2
1.5课题要解决的问题 2
第二章课题部分元器件介绍及选型说明 4
2.1引言 4
2.2单片机芯片 4
2.3 MQ3气敏传感器 5
2.4 ADC0832转换芯片 8
第三章电子鼻系统硬件设计 10
3.1 引言 10
3.2 硬件设计 10
3.3硬件介绍 11
3.3.1 MQ3气敏传感器模块设计 12
3.3.2 显示模块 12
3.3.3供电模块 14
3.3.4下载模块 15
3.3.5按键模块 17
3.3.6 报警模块 18
第四章电子鼻系统软件设计 20
4.1引言 20
4.2 Keil5开发软件的说明 20
4.3程序编译 20
4.3.1关于引脚与变量的定义 20
4.3.2关于函数的声明 21
4.4 Proteus软件的仿真 26
4.4.1关于Proteus8.6的介绍 26
4.4.2使用Proteus软件进行仿真的好处 27
4.4.3 Proteus仿真结果 27
第五章气体检测识别实验 29
5.1引言 29
5.2实验演示 29
5.3实验演示结果 30
5.3.1对二氧化碳气体的检测识别 30
5.3.2对丁烷气体的检测识别 31
5.3.3对乙醇气体的检测识别 32
第六章毕业设计总结 33
总结与展望 33
致谢 34
参考文献 35
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