一种新型高精度温度控制方法

为控制环境温度剧烈变化,对于精密仪器设备对温度精度和系统稳定性要求也随之提高,提出了一种参数自学习比例-周期控温算法,能够自动辨识系统参数和控制参数,并具有自学习能力。当环境温度快速变化时,可以采用相应的控制策略,达到理想的控制效果,适用于控制系统参数未知的场合,同时对环境温度的变化具有较强的自适应能力。仿真结果表明,算法控制精度高、自适应能力强,确实能够满足精密仪器设备对温度的精度和稳定性的要求。     

基于最优模糊PID温度控制方法研究

针对某智能大厦空调的温度控制系统,引入了一种新的模糊推理方法,设计了模糊PID控制器.该模糊推理方法将优化和反馈的思想引入推理过程中,依据不同的优化指标进行推理,使推理过程更为有效,论文给出了应用该推理方法的具体过程.以建立起的温度系统模型为基础,设计了基于最优模糊推理的温度系统模糊PID控制器,进行了仿真研究,仿真结果和实际运行表明了该控制方法具有强鲁棒性和良好控制品质.     

数据融合技术在消防车检测系统中的研究

文中主要研究消防车检测系统中温度工作状态参数,给出了基于DSP TMS320LF2407为核心的硬件构成,提出了基于多传感器数据检测与数据融合技术的温度采集方法。在多传感器采集数据基础上,采用分布图法去除疏失误差,同时采用自适应加权数据融合算法的方法对采集的数据进行融合。实测表明,采用这种方法可以提高温度采集的精度,同时有效地解决了由于传感器失效引起的误差和单点采集温度的不足。有效地保证了消防车检测系统的实时性和准确性。有一定良好的应用前景。     

基于单片机的温室自动控制系统

介绍一种基于单片机的温室温度自动控制系统。热敏电阻采集温室内的温度,单片机控制温度在液晶屏上实时显示,利用上位机进行实时监控,通过串行通信将采集到的数据送至上位机,应用系统自带的超级终端软件实现温室温度在上位机中的实时显示。     

纸机密闭气罩控制系统的设计与实现

该文简介了纸机密闭气罩的装置结构与工艺流程,重点描述了该密闭气罩控制系统的设计,该控制系统由PLC控制变频器运行。作者对所涉及的系统硬件、软件设计等问题进行了较为详细的阐述。该控制系统已经应用于中小型纸机,生产实践表明,该纸机的产量和稳定性明显地得到了提高。     

多点测温与长线传输在分布式测温系统中的研究

针对分布式温度测量系统中多点温度测量问题,设计了长线传输电路.详细阐述了利用一个I/O端口连接多个传感器来编制公用程序的方法,以实现多个温度测量的方法,较好地解决了多个I/O口多点测温的设计问题;给出了单总线温度传感器多点测温硬件连接方法,解决了数字温度传感器在长线传输中温度的正确读取以及电路设计的关键问题.     

The effects of temperature, relative humidity and reducing gases on the ultraviolet response of ZnO based film bulk acoustic-wave resonator

This study investigated the influence of temperature, relative humidity and reducing gases on the ultraviolet (UV) response of ZnO based film bulk acoustic-wave resonator (FBAR). As temperature increased, the UV response of the FBAR degraded. This was attributed to the softening of the ZnO film with increasing temperature. Water molecules can replace adsorbed oxygen on the ZnO surface. At high relative humidity, more oxygen was replaced by water. In this way, the density of the ZnO film increased and less oxygen was left on the surface to be desorbed by UV, both of which contributed to a lower UV response. Reducing gases, such as acetone, can react with the surface adsorbed oxygen and reduce the density of the ZnO film, resulting in UV response degradation.     

台达机电产品在塑料薄膜生产线上的应用

本文主要介绍了台达机电产品（触摸屏、PLC、变频器、温控器等）在塑料薄膜生产线上的整合应用。该控制系统操作界面友好简单,结合台达HMI、PLC和变频器等工控产品,实现了设备的技术升级与高效节能,体现出台达自动化产品较高的性价比。运行实践证明,台达产品稳定可靠,控制效率高,值得业界同行借鉴和推广。     

Testing a MODIS Global Disturbance Index across North America

Large-scale ecosystem disturbances (LSEDs) have major impacts on the global carbon cycle as large pulses of CO₂ and other trace gases from terrestrial biomass loss are emitted to the atmosphere during disturbance events. The high temporal and spatial variability of the atmospheric emissions combined with the lack of a proven methodology to monitor LSEDs at the global scale make the timing, location and extent of vegetation disturbance a significant uncertainty in understanding the global carbon cycle. The MODIS Global Disturbance Index (MGDI) algorithm is designed for large-scale, regular, disturbance mapping using Aqua/Moderate Resolution Imaging Spectroradiometer (MODIS) Land Surface Temperature (LST) and Aqua/MODIS Enhanced Vegetation Index (EVI) data. The MGDI uses annual maximum composite LST data to detect fundamental changes in land-surface energy partitioning, while avoiding the high natural variability associated with tracking LST at daily, weekly, or seasonal time frames. Here we apply the full Aqua/MODIS dataset through 2006 to the improved MGDI algorithm across the woody ecosystems of North America and test the algorithm by comparison with confirmed, historical wildfire events and the windfall areas of documented major hurricanes. The MGDI accurately detects the location and extent of wildfire throughout North America and detects high and moderate severity impacts in the windfall area of major hurricanes. We also find detections associated with clear-cut logging and land-clearing on the forest-agricultural interface. The MGDI indicates that 1.5% (195,580 km²) of the woody ecosystems within North America was disturbed in 2005 and 0.5% (67,451 km²) was disturbed in 2006. The interannual variability is supported by wildfire detections and official burned area statistics.     

Identification and quantification of different vapours using a single polymer chemoresistor and the novel dual transient temperature modulation technique

This paper presents a novel signal processing technique for a square wave temperature modulated carbon black/polymer composite sensor. The technique consists of only two mathematical operations: summing the off- and on-transients of the conductance signals, and subtracting the steady-state conductance signal. The technique has been verified through its application to a carbon black/polyvinylpyrrolidone composite chemoresistor. Identification of water, methanol and ethanol vapours was successfully demonstrated using the peak time of the resultant curves. Furthermore, quantification of those vapours was found to be possible using the height of the peak heights, which was linearly proportional to concentration. The technique does not require zero-gas calibration and thus is superior to previously reported techniques.