Smart firefighting construction in China: Status,problems, and reflections

“Smart firefighting” construction as a part of the “smart city” has been a concern of the public security and fire agencies at all levels. In this study, the status, problems, and reflections of “smart firefighting” construction in China are discussed. A recent survey indicates that China has launched its smart firefighting construction and initially created a new perspective on its regional smart firefighting work based on three main aspects: intelligent disaster perception by Internet of Things (IoT) construction, intelligent disaster prevention by big data construction, and intelligent disaster disposal by emergency rescue platform construction. However, the current smart firefighting construction in China still has some prominent problems such as the data interconnectivity and normalized management of various platforms, the extensibility of smart firefighting platforms, and the intelligent level of smart firefighting researches, which need to be solved urgently. Therefore, we argue that smart firefighting construction in China should establish data interconnectivity, industrial normalized management, 2D/3D geographic information interaction and extension, high-integration fire protection theory, and many other aspects in the near future and truly realize firefighting visualization and efficient data applications for 4D time space. This study could provide valuable reference for smart firefighting and smart city construction.     

EDT机床监控系统的研究开发

介绍可编程控制器FX2N－80MR在EDT机床逻辑控制系统中的应用，详细介绍了EDT机床监控系统的构成，功能及其实现方法。     

Simulation by Slepian method of plastic displacements of Gaussian process excited multistory shear frame

The object of study is a stationary Gaussian white noise excited multi-degree-of-freedom (MDOF) linear elastic, ideal plastic, linearly damped, statically determinate oscillator with several potential elements of ideal plastic yielding. Specifically the study is exemplified for a plane multistory shear frame with rigid traverses where all the connecting columns except the columns in one or more of the bottom floors have finite symmetrical yield limits. The white noise excitation acts on the mass of the first floor making the movement of the elastic bottom floors simulate a ground motion that interacts with the structure above the bottom floors. The method of study is so-called Slepian model simulation and is in principle the same for other statically determinate MDOF elasto-plastic oscillators of the considered type. The method is fast as compared to direct simulation and provides results that give good insight in the behavior of the plastic displacement response process.     

拼接式彩色等离子体大屏幕显示驱动电路的研究

针对拼接结构的高分辨率彩色等离子体大屏幕系统的应用，指出了刷新型电路模式的不足之处，提出了一种混合型模式的驱动电路。从彩色模块ＡＣＰＤＰ的结构特性出发，详细讨论了该电路的工作原理，驱动波形以及放电过程。     

基于联合损失胶囊网络的换衣行人重识别

目前的行人重识别（Re-ID）研究主要集中在短时间情形,即一个人的衣着不太可能发生改变的情况。然而现实中更常见的是长时间的情况,这时一个人有很大的机会更换衣服,Re-ID模型应该考虑这种情况。为此,研究了一种基于联合损失胶囊网络的换衣行人重识别方法。所提方法基于换衣行人重识别胶囊网络ReIDCaps,使用与传统的标量神经元相比包含更多信息的矢量胶囊,用其长度表示行人身份信息,用其方向表示行人衣着信息;采用软嵌入注意力（SEA）防止模型过拟合;使用特征稀疏表示（FSR）机制提取具有判别性的特征;增加标签平滑正则化交叉熵损失与Circle Loss的联合损失以提高模型的泛化能力和鲁棒性。在三个换衣行人重识别数据集Celeb-reID、Celeb-reID-light和NKUP上进行实验,实验结果表明所提方法与目前已有的Re-ID方法相比具有一定优势。     

一种基于小波变换的发电机缺陷分析方法

发电机是一个涉及多状态信息的复杂系统,对其进行缺陷分析时往往需要同时考虑多组状态量间的相互关联。现阶段,这一工作通常由人工实现,效率较低,且受主观因素影响较大。为此,本文提出一种基于连续小波变换的相关性分析方法,通过自动计算发电机多组状态量之间在不同时间范围和频域范围内的局部数据相关性,为进行发电机缺陷分析时所需的相关性信息提供有力支撑,并对所提出的算法进行了仿真验证。结果表明,所提方法可以实现状态量之间局部相关性的有效分析,分析结果具有良好的鲁棒性,可以有效的提升技术人员分析发电机缺陷的工作效率和准确性。     

基于模糊推理的电参数选择优化模型

对电火花加工工艺设计中的主要问题－电参数的选择进行讨论,建立了基于模糊理论的电参数选择模型,同时采用“优先级别－权系统法”建立多目标规划模型,实现对电规准选择的优化。     

考虑地震输入机制的强度折减动力有限元方法

为研究边坡在地震作用下的稳定安全性和地震波在边坡介质中的传播,基于强度折减原理,提出了能计入无限地基辐射阻尼效应的边坡地震动力显式有限元方法和与之对应的边坡失稳判定标准。编写相应的计算机程序与ANSYS/LS-DYNA计算软件实现了无缝连接。经典算例表明,本文强度折减方法和失稳判据的正确性以及ANSYS/LS-DYNA无反射吸能边界的适用性,边坡工程实例分析表明上述方法在边坡动力稳定分析中具有一定的可行性。     

Creating geometrically robust designs for highly sensitive problems using topology optimization

Resonance and wave-propagation problems are known to be highly sensitive towards parameter variations. This paper discusses topology optimization formulations for creating designs that perform robustly under spatial variations for acoustic cavity problems. For several structural problems, robust topology optimization methods have already proven their worth. However, it is shown that direct application of such methods is not suitable for the acoustic problem under consideration. A new double filter approach is suggested which makes robust optimization for spatial variations possible. Its effect and limitations are discussed. In addition, a known explicit penalization approach is considered for comparison. For near-uniform spatial variations it is shown that highly robust designs can be obtained using the double filter approach. It is finally demonstrated that taking non-uniform variations into account further improves the robustness of the designs.     

On the similarities between micro/nano lithography and topology optimization projection methods

The aim of this paper is to incorporate a model for micro/nano lithography production processes in topology optimization. The production process turns out to provide a physical analogy for projection filters in topology optimization. Blueprints supplied by the designers cannot be directly used as inputs to lithographic processes due to the proximity effect which causes rounding of sharp corners and geometric interaction of closely spaced design elements. Therefore, topology optimization is applied as a tool for proximity effect correction. Furthermore, it is demonstrated that the robust projection filter can be used to account for uncertainties due to lithographic production processes which results in manufacturable blueprint designs and eliminates the need for subsequent corrections.