Shenyang Institute of Automation,Chinese Academy Of Sciences
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一种使用太赫兹波进行声音探测与感知的方法及系统
No full text本发明涉及使用太赫兹波对声音进行感知与检测的方法及系统。包括：太赫兹发射源，隔声箱体，增益天线和太赫兹探测器。隔声箱体表面使用阻尼材料覆盖以达到隔绝声音的目的。太赫兹波由发射源发出，经过增益天线后收束直接或者透过隔声箱体照射到发声物体表面。太赫兹探测器测量反射回来的太赫兹波强度并通过时频分析原理对声音进行恢复。本发明不需要昂贵的麦克风阵列探测以及对工艺要求较高的光学光纤探测方法，通过对处于有或无隔声环境下的未知声音物体发射太赫兹波，并采集回波数据解析以及对相位信息的时频分析，获取被测声源的振动状态和发声频率。实现有或无隔声环境下更快、更精确的太赫兹波声音感知与探测
一种大型结构件零位测量及调整的控制方法
No full text本发明提出一种航天发动机大结构件零位测量及调整自动化的控制方法，可由主控，测量及调整三个系统相互配合实现；所述主控系统，用于调度测量系统和调整系统，实现整个装备的自动化运行，并将最终结果反馈给车间信息系统；所述测量系统，用于测量大结构件的特征位置，并提取出其轴线的空间位置，通过观测调整机构压头靶板得出压头的空间位置，并根据轴线空间位置计算出形成零位平面三个压头分别需要伸出的距离；所述调整系统，根据测量系统计算出的结果，驱动三个压头形成一组零位平面，通过整体升降机构控制和力位检测实现对大结构件零位平面的精确定位
基于Q学习的流程制造车间滚揉结扎工序段生产优化方法
No full text基于Q学习的流程制造车间滚揉结扎工序段生产优化方法涉及流程制造业生产优化领域，通过建立流程制造车间滚揉结扎工序段模型，可以对实际的生产车间滚揉结扎工序段情况进行模拟生产；获取流程制造车间的生产数据，定义Q学习参数，生成记录动作‑时间‑Q值的自增长式Q表，每当遇到新状态时，将此状态记录在Q表中；基于Q学习的生产优化方法，针对其动态生产线的特点提出的，通过Q学习不断与制造车间模型进行交互训练得到的Q表来控制滚揉工序中滚揉锅的开启命令，解决了流程制造车间滚揉结扎工序段生产优化问题
一种横列式双倾转旋翼飞行器飞管系统
No full text本实用新型涉及一种横列式双倾转旋翼飞行器飞管系统,包括：设在飞机本体上的飞控系统、以及通过总线与其连接的倾转控制系统、信息采集系统；所述飞控系统包括FPGA芯片和与其分别连接的飞控机载计算机、传感器组、数字跳频电台、直升机舵机、固定翼舵机；所述飞控系统通过数字跳频电台与地面站连接；所述倾转控制系统包括倾转机载计算机和与其分别连接的调制解调芯片、倾转电机，调制解调芯片还连接倾转角度传感器。飞控系统中所有信息采集和发送任务由FPGA芯片及周围电路实现，提高了机载计算机的使用效率。倾转控制系统中，通过使用旋转变压器对旋翼短舱倾转角度进行测量，具有安装简单、精度高、响应快的特点
一种抗硫性Ce-Mn-Zr催化剂及其制备方法与应用
No full text本发明公布了一种抗硫性Ce‑Mn‑Zr催化剂及其制备方法与应用。所述Ce‑Mn‑Zr催化剂包含过渡金属为ZrO2、MnO2和CeO2。本发明通过掺杂Zr得到Ce‑Mn‑Zr催化剂，利用Zr对催化剂尺寸大小具有稳定作用，以及抑制团簇的作用，以增加催化剂活性位点的分散性，从而暴露更多的活性位点来延缓催化剂的中毒过程。另外，本发明所述Ce‑Mn‑Zr催化剂具有较高的抗硫性，能够在SO2存在的情况下长时间进行SCR脱硝工作
Vibration analysis model of fiber-metal laminated plates with microporous viscoelastic layer
No full textApplication of Machine Learning in Forest Fire Prediction
No full text森林火灾的发生对社会经济和自然环境造成了威胁，因此及时预测森林火灾的发生具有重要意义。目前，机器学习被广泛用于各个行业，基于此本文应用神经网络、随机森林、逻辑回归3种机器学习算法，建立森林火灾预测模型，并用此模型对阿尔及利亚Bejaia地区和Sidi Bel-abbesl地区采集到的数据进行预测。实验结果证明，3种机器学习算法对森林火灾风险预测均有较好表现，综合准确率可达95.9%，其中随机森林算法在准确度方面表现最好，逻辑回归算法在运算效率方面表现最好，利用该森林火灾预测模型在防范森林火灾方面具有一定的可行性。</p
Residual Stress Distribution and Dynamic Stress Variation in Aluminum Alloy Round Rods after Laser Shock Peening
No full textLaser shock peening is an advanced surface treatment technology that can significantly improve the performance of metallic components. To study the residual stress distribution and the propagation law of the dynamic stress in a round rod structure after laser shock peening, a laser shock peening finite element model was established for aluminum alloy round rod fatigue test samples. The residual stress distribution of the sample after laser shock peening with different spot sizes was analyzed in three directions. The propagation law of the dynamic stress was analyzed by a simulation of the dynamic stress change process. The accuracy of the model was experimentally verified. The results showed that as the spot size increased, the range of surface residual stress gradually increased in the axial direction. The degree of residual stress range increase in the circumference direction was smaller than the increase in the axial direction. The convergence of the unloaded tensile stress wave and the reflected tensile stress wave led to the formation of tensile residual stress in the round rod center. The compressive stress generated at the impact edge increased the final compressive residual stress. As the spot size decreased, the fatigue life of the samples increased. These conclusions can not only guide the selection of process parameters for a curved surface structure but also provide a reference for the analysis of the laser-induced shock wave propagation mechanism for specific structures
Dual Aligned Siamese Dense Regression Tracker
No full textAnchor or anchor-free based Siamese trackers have achieved the astonishing advancement. However, their parallel regression and classification branches lack the tracked target information link and interaction, and the corresponding independent optimization maybe lead to task-misalignment, such as the reliable classification prediction with imprecisely localization and vice versa. To address this problem, we develop a general Siamese dense regression tracker (SDRT) with both task and feature alignments. It consists of two cooperative and mutual-guidance core branches: dense local regression with RepPoint representation, the global and local multi-classifier fusion with aligned features. They complement and boost each other to constrain the results with well-localized followed to also be well-classified. Specifically, a dense local regression with RepPoint representation, directly estimates and averages multiple dense local bounding box offsets for accurate localization. And then, the refined bounding boxes can be used to learn the global and local affine alignment features for reliable multi-classifier fusion. The classified scores in turn guide the assigned positive bounding boxes for the regression task. The mutual guidance operations can bridge the connection between classification and regression substantially, since the assigned labels of one task depend on the prediction quality of the other task. The proposed tracking module is general, and it can boost both the anchor or anchor-free based Siamese trackers to some extent. The extensive tracking comparisons on six tracking benchmarks verify its favorable and competitive performance over states-of-the-arts tracking modules.</p
Extraction algorithm for longitudinal and transverse mechanical information of AFM
No full textThe atomic force microscope (AFM) can measure nanoscale morphology and mechanical properties and has a wide range of applications. The traditional method for measuring the mechanical properties of a sample does so for the longitudinal and transverse properties separately, ignoring the coupling between them. In this paper, a data processing and multidimensional mechanical information extraction algorithm for the composite mode of peak force tapping and torsional resonance is proposed. On the basis of a tip-sample interaction model for the AFM, longitudinal peak force data are used to decouple amplitude and phase data of transverse torsional resonance, accurately identify the tip-sample longitudinal contact force in each peak force cycle, and synchronously obtain the corresponding characteristic images of the transverse amplitude and phase. Experimental results show that the measured longitudinal mechanical characteristics are consistent with the transverse amplitude and phase characteristics, which verifies the effectiveness of the method. Thus, a new method is provided for the measurement of multidimensional mechanical characteristics using the AFM. © 2022 Author(s).</p