基于QQ物联的空气质量检测系统

发布时间：2018-05-20 12:07

本文选题：嵌入式应用 + 物联网　；参考：《长安大学》2017年硕士论文

【摘要】：近年来随着经济发展,工业污染、土地沙漠化日趋严重,大气颗粒物污染问题愈加突出;伴随复合型家装材料的广泛应用,室内空气的甲醛、苯污染问题同样不可忽视,空气质量问题已引起越来越多的人关注。室外大环境空气质量信息已有机构发布。而人们身边小环境以及室内空气检测手段较少,检测的价格也更高,检测结果无法联网,不能远程实时监测,无法满足普通家庭对室内和身边空气质量信息及时获取的需求。针对此现状,本文设计并实现了一套基于QQ物联平台的空气质量检测系统。系统可分为感知、传输和应用三个层面。感知层设计基于各类传感器,完成系统的数据采集,硬件核心处理器采用意法半导体公司基于ARM Cortex-M3内核的STM32微处理器,各传感器直连STM32。各个传感器的驱动基于STM32标准外设库编写,各模块的通信传输均利用DMA实现快速处理。传感器包括激光空气粉尘传感器和可定量测量甲醛浓度的电化学传感器,以及数字温湿度传感器、小型气压传感器等。传输层设计了将室内空气质量检测系统的感知层数据接入QQ物联云平台,并引入了事件队列状态机的处理方法,保证系统的响应及时性。应用层完成了对手机终端的“手机QQ”APP内嵌的控制页面的应用设计,利用用户基础好的手机QQ作为前端载体,使检测设备成为一个“QQ好友”;手机终端可以与像访问QQ好友一样可随时对空气数据进行远程查看,空气质量信息也可通过QQ账户体系、好友关系实现快速分享,加强了用户与设备之间的联动,最终实现了将嵌入式空气检测设备变成QQ的一个智能设备的转变。经过与市面成熟的检测系统对比,本系统测量数据准确性高、成本低,功能丰富,便携性好,使用门槛低,对提高生活品质、预防由于空气等方面带来的疾病具有重要意义与商业价值。
[Abstract]:In recent years, with the economic development, industrial pollution, land desertification is becoming more and more serious, the problem of atmospheric particulate pollution has become more and more prominent, with the extensive application of composite household materials, the indoor air formaldehyde and benzene pollution can not be ignored. Air quality has attracted more and more attention. Outdoor ambient air quality information has been released. But the small environment around people and indoor air detection means are less, the detection price is also higher, the test results can not be connected to the Internet, can not be remote real-time monitoring, can not meet the needs of ordinary families for indoor and nearby air quality information timely access. In view of this situation, this paper designs and implements an air quality inspection system based on QQ platform. The system can be divided into three levels: perception, transmission and application. The sensor layer is designed based on all kinds of sensors to complete the data acquisition of the system. The hardware core processor adopts the STM32 microprocessor based on ARM Cortex-M3 kernel of Italy Semiconductor Company, and each sensor is connected directly to STM32. The driver of each sensor is based on the STM32 standard peripheral library, and the communication transmission of each module is realized by DMA. The sensors include laser air dust sensor, electrochemical sensor for quantitative measurement of formaldehyde concentration, digital temperature and humidity sensor, small pressure sensor and so on. In the transmission layer, the perceptual layer data of the indoor air quality detection system is connected to the QQ platform, and the event queue state machine is introduced to ensure the timely response of the system. The application layer has completed the application design of the "Mobile QQ" APP embedded control page of the mobile phone terminal, using the user-based Mobile QQ as the front-end carrier, making the detection equipment become a "QQ friend"; Mobile terminals can remotely view air data at any time like visiting QQ friends, air quality information can also be shared quickly through QQ account system, and the linkage between users and devices is strengthened. The final realization of the embedded air detection device into QQ a smart device transformation. Compared with the mature detection system, this system has high accuracy, low cost, rich function, good portability, low threshold of use, and can improve the quality of life. Prevention of diseases caused by air is of great significance and commercial value.
【学位授予单位】：长安大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：X51;X84

【参考文献】