分布式恒流粉尘采样系统研究

发布时间：2018-08-19 14:19

【摘要】：文章介绍了粉尘给人类和环境带来的危害,目前国内外应用的粉尘采样原理和技术。我国现有的粉尘采样器计量标准将采样流量误差制定在±5%的范围内,这已经不能满足当前的精度要求。而国内外开发的粉尘采样器在实际工作中不能满足自动化、智能化的需求。针对以上问题,本文设计出精度高、体积小、便于携带的分布式智能恒流量粉尘采样器。文章分析了普通PID控制算法、智能PID控制算法的特点,针对粉尘采样流量的变化具有时变性、非线性,采用模糊神经网络PID控制算法,通过混合信号处理器实现稳定、快速、精确的恒流量采样的目标。同时选择ZigBee网络技术和GPS定位结合实现定位,建立分布式检测系统。分布式恒流粉尘采样器的开发设计,能够提高粉尘采样精度,建立自动化、智能化、分布式粉尘采样检测系统。
[Abstract]:This paper introduces the harm of dust to human and environment, and the dust sampling principle and technology applied at home and abroad. The current measurement standard of dust sampler in China sets the sampling flow error in the range of 卤5%, which can no longer meet the current precision requirements. The dust sampler developed at home and abroad can not meet the needs of automation and intelligence. Aiming at the above problems, a distributed intelligent constant flow dust sampler with high precision, small volume and easy to carry is designed in this paper. In this paper, the characteristics of ordinary PID control algorithm and intelligent PID control algorithm are analyzed. Aiming at the time-varying and nonlinear dust sampling flow, the fuzzy neural network PID control algorithm is used to achieve stability and speed through mixed signal processor. Accurate constant flow sampling target. At the same time, the ZigBee network technology and GPS positioning are selected to realize the localization, and the distributed detection system is established. The development and design of distributed constant current dust sampler can improve the precision of dust sampling and establish an automatic, intelligent and distributed dust sampling and detection system.
【学位授予单位】：长春工业大学
【学位级别】：硕士
【学位授予年份】：2013
【分类号】：TP274;X964

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