室内有害气体检测控制系统的研究

发布时间：2018-04-15 09:31

  本文选题：室内环境质量 + 有害气体　； 参考：《华北理工大学》2015年硕士论文

【摘要】：室内环境质量(Indoor Environmental Quality,IEQ)对人的身体健康至关重要,不仅体现在温、湿度上,更体现在有害气体(甲醛、氨气)的浓度大小上。受经济发展水平的限制,我国目前的室内环境监控技术相对落后。虽然现有的室内监控系统自动化程度有所提高,但准确度及抗干扰能力都很难保证,经常出现错报、误报现象,并且无法高效准确地分析室内环境的总体质量。针对室内甲醛、氨气以及温、湿度对人体健康的影响,设计了一种气体浓度和温湿度检测及控制的实时在线监控系统。该系统的下位机以STM32F103单片机和传感器为核心,上位机界面采用Visual Basic6.0开发,二者通过RS-485进行信息交流与通信。采用了中位值平均滤波算法,其能够有效地滤除传感器在采集信号过程中的随机干扰成分。提出了两种基于自适应加权与模糊集理论的多传感器数据融合算法。自适应加权数据融合不仅能充分利用传感器的原始数据,对测量数据的均方误差、测量精度等信息进行融合,而且可以在总方差最小的前提下,使融合后的值达到最优。由于室内各个因素对身体健康的影响程度不一样,利用模糊集理论的决策级数据融合的权重向量可以更加清楚地了解室内环境质量。通过对系统进行测试,其结果表明:人们不仅能通过人性化的监控界面及时了解室内甲醛、氨气以及温、湿度的当前值及质量等级,而且可以更加方便地查看融合后的室内综合质量等级及系统的运行情况。系统的各项指标均达到了预期的要求,并具有很强的抗干扰能力和很高的可信度。
[Abstract]:Indoor Environmental quality (IEQ) is very important to human health, not only in temperature and humidity, but also in the concentration of harmful gases (formaldehyde and ammonia).Limited by the level of economic development, China's current indoor environment monitoring technology is relatively backward.Although the degree of automation of the existing indoor monitoring system has been improved, the accuracy and anti-interference ability are difficult to guarantee, there are often false alarms and false positives, and the overall quality of indoor environment can not be analyzed efficiently and accurately.Aiming at the effect of indoor formaldehyde, ammonia gas, temperature and humidity on human health, a real-time on-line monitoring system for the detection and control of gas concentration and temperature and humidity is designed.The lower computer of this system is based on STM32F103 single chip computer and sensor, and the upper computer interface is developed by Visual Basic6.0. They communicate and communicate with each other through RS-485.The median average filter algorithm is used to filter the random interference components in the signal acquisition process.Two multisensor data fusion algorithms based on adaptive weighting and fuzzy set theory are proposed.The adaptive weighted data fusion can not only make full use of the original data of the sensor, but also make the value of the fusion optimal under the premise of minimum total variance, such as the mean square error and the measurement precision of the measured data.Because the degree of influence of indoor factors on body health is different, the weight vector of decision level data fusion based on fuzzy set theory can better understand indoor environmental quality.By testing the system, the results show that people can not only know the current value and quality grade of indoor formaldehyde, ammonia, temperature and humidity through the humanized monitoring interface.Moreover, it is more convenient to view the integrated indoor quality grade and the operation of the system.Each index of the system meets the expected requirements, and has strong anti-interference ability and high credibility.
【学位授予单位】：华北理工大学
【学位级别】：硕士
【学位授予年份】：2015
【分类号】：X84;TP274
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本文编号：1753549