基于双模态控制的异步电机并联运行方法的研究

针对两台电机参数和负载不一致的情形,在原有单台电机磁场定向矢量控制模型的基础上,结合平均的思想,推导出适合一个逆变器控制两台电机的磁场定向控制模型。该数学模型在矢量控制思想的核心下,利用定子电流的q轴分量控制电机的平均转矩,d轴分量控制平均转子磁通。由于PI控制和模糊滑模变结构控制在交流调试系统中的局限性,利用它们的各自优点,采用双模态控制方法对交流异步电动机系统进行控制。仿真结果表明,无论在启动时负荷不均衡、运行时负荷不均衡还是运行时负荷均衡情况下,该系统都能平稳运行,且具有较好的动态、稳态性能。该方案的研究对轨道交通意义较大。     

位阻胺选择性配方溶剂尾气处理装置工业应用

为了解决常规甲基二乙醇胺(MDEA)脱硫溶剂在低压下脱硫效果不理想,导致排放尾气中SO_2浓度升高的问题,利用位阻胺与H_2S反应具有良好活性、同时能较好抑制位阻胺与CO_2反应的特点,研究开发出了位阻胺选择性脱硫配方溶剂,并在处理量为1×10~4m~3/d的装置上进行中间放大试验的基础上,在中国石油西南油气田公司川中油气矿龙岗天然气净化厂硫磺回收加氢尾气脱硫装置上进行了工业应用。在工业应用期间,考察了溶剂在不同吸收塔板数、不同贫液入塔温度、不同溶液循环量等条件下的吸收性能,还考察了脱硫溶液的再生性能,确定了较适宜的工艺操作参数。应用1年后的考核结果表明:(1)该位阻胺选择性脱硫配方溶剂在进尾气脱硫吸收塔气体中H_2S含量为0.77%～3.96%、CO_2含量为23.91%～32.79%的气质条件下,可使净化尾气中H_2S含量低于30 mg/m~3;(2)与装置原用的常规MDEA相比,净化尾气中H_2S含量降低58.45%;(3)该位阻胺选择性脱硫配方溶剂的再生性能良好,再生后贫液中H_2S和CO_2含量均小于0.12 g/L。     

喷淋水幕抑制化工聚集区火灾效果研究

为了揭示不同工况下喷淋水幕对化工聚集区火灾抑制效果影响规律,建立了FDS数值模型,通过改变单一变量分别模拟水幕开合状态、不同水幕排数、不同水幕喷头高度下火灾发展过程,分析不同工况条件下火源温度变化规律和烟气蔓延规律。结果表明：喷淋水幕开启后,位于储罐上方及水幕帘后的测点温度峰值同比下降19%及36%,可有效抑制高温烟气层蔓延;双排水幕帘相比单排水幕帘在抑制火源温度及烟气蔓延更具成效;初始喷头高度5.8 m时,相比其他高度在降低温度、加速烟气沉降方面更具优势。     

实时全息干涉计量术的发展近况和趋势

本文综述了实时全息干涉计量术的发展近况。介绍了实时全息干涉计量术的某些新方法,新装置及其所依据的原理并论述其发展趋势。     

合成孔径雷达图象结构特征检测的改进算法

本义研究合成孔径雷达（ＳＡＲ）图象结构特征检测。首先讨论了 ＳＡＲ图象结构检测的原理,然后在分析Ｌｏｐｅｓ等人的算法的基础上,提出了一个改进的结构检测算法,给出改进算法的实现流程,并利用模拟和实测ＳＡＲ图象进行试验比较,充分验证了改进方法的优越性和实用性。     

Mussel‐Inspired Hydrogels for Self‐Adhesive Bioelectronics

Wearable and implantable bioelectronics are receiving a great deal of attention because they offer huge promise in personalized healthcare. Currently available bioelectronics generally rely on external aids to form an attachment to the human body, which leads to unstable performance in practical applications. Self‐adhesive bioelectronics are highly desirable for ameliorating these concerns by offering reliable and conformal contact with tissue, and stability and fidelity in the signal detection. However, achieving adequate and long‐term self‐adhesion to soft and wet biological tissues has been a daunting challenge. Recently, mussel‐inspired hydrogels have emerged as promising candidates for the design of self‐adhesive bioelectronics. In addition to self‐adhesiveness, the mussel‐inspired chemistry offers a unique pathway for integrating multiple functional properties to all‐in‐one bioelectronic devices, which have great implications for healthcare applications. In this report, the recent progress in the area of mussel‐inspired self‐adhesive bioelectronics is highlighted by specifically discussing: 1) adhesion mechanism of mussels, 2) mussel‐inspired hydrogels with long‐term and repeatable adhesion, 3) the recent advance in development of hydrogel bioelectronics by reconciling self‐adhesiveness and additional properties including conductivity, toughness, transparency, self‐healing, antibacterial properties, and tolerance to extreme environment, and 4) the challenges and prospects for the future design of the mussel‐inspired self‐adhesive bioelectronics.     

Face anti-spoofing based on multi-modal and multi-scale features fusion

Face anti-spoofing is used to assist face recognition system to judge whether the detected face is real face or fake face. In the traditional face anti-spoofing methods, features extracted by hand are used to describe the difference between living face and fraudulent face. But these handmade features do not apply to different variations in an unconstrained environment. The convolutional neural network (CNN) for face deceptions achieves considerable results. However, most existing neural network-based methods simply use neural networks to extract single-scale features from single-modal data, while ignoring multi-scale and multi-modal information. To address this problem, a novel face anti-spoofing method based on multi-modal and multi-scale features fusion ( MMFF) is proposed. Specifically, first residual network ( Resnet )-34 is adopted to extract features of different scales from each modality, then these features of different scales are fused by feature pyramid network (FPN), finally squeeze-and-excitation fusion ( SEF) module and self-attention network ( SAN) are combined to fuse features from different modalities for classification. Experiments on the CASIA-SURF dataset show that the new method based on MMFF achieves better performance compared with most existing methods.     

激光器强度噪声对光纤水听器相位载波解调的影响

相位载波(PGC)调制解调技术作为光纤水听器主要的检测技术之一,已经应用于许多光纤水听器阵列系统之中,该方案对光源提出了窄线宽、可调谐、低噪声等较高的要求。实验中发现,光源弛豫噪声对系统噪声性能产生了较大的影响。在理论分析光源弛豫噪声对相位载波解调影响的基础上,提出了通过调节抽运功率,控制弛豫振荡中心频率为相位载波调制频率的半倍频的奇数倍,来降低系统解调噪声的方法,实验验证了理论结果,解调噪声由最高的—86.7 dB减小到—106 dB。实验进一步采用了光电负反馈方法来抑制弛豫噪声,在弛豫振荡峰处抑制噪声约25 dB,得到了约—100 dB的较为平坦的激光器噪声谱级,使得相位载波解调噪声达到—110 dB,基本满足了光纤水听器系统的要求。     

640×512小型化红外探测器杜瓦组件可靠性研究

在SWaP3(Size,Weight,and Power,Performance and Price)概念的驱使下,第三代制冷红外探测器向着高性能、小型化和轻量化的方向发展.作为军用核心电子元器件,制冷红外探测器的可靠性成为研究的重点.以浙江珏芯微电子有限公司所研制的640×512/15μm小型化杜瓦组件为研究对象,开...     

Priority-MECE: A Mobile Edge Cloud Ecosystem Based on Priority Tasks Offloading

Mobile Networks and Applications - With the rapid development of Internet of things, the traditional city model is no longer applicable. Therefore, the emerging concept of smart city meets the...