GCSQX-01型高侧石中央隔离带清洗车

<正>公路中央隔离带的清洗一般是由人工或使用简单清洁设备来完成的,劳动强度大、作业效率低、清洁效果不明显。钢制隔离带通常是由波形板与钢管铆接而成的,截面规则,灰尘附着在隔离带表面,一般的护栏清洗车就可以将其清洗干净。而高侧石隔     

大规模风电接入电网及市场消纳问题分析

目前风电外送与接入是电网企业与风电开发企业矛盾比较集中的焦点问题.我国风电场主要分布在距负荷中心较远的地区,电网结构相对薄弱,电网建设对风电开发存在一定的制约.在我国西北、华北以及东北(尤其是内蒙古东部地区)风电基地集中地区,风电发出的电力无法正常并网,已经成为未来风电发展所面临的最大问题.针对这一难题,以电网运行管理者的视角,从风电侧和电网侧两个方面,对风电并网问题进行了深入研究,找出其中的难点,并作进一步分析.在国外相关实际做法的基础上,对发电侧、负荷侧以及并网风电管理等方面,提出了提高发电机组调峰能力、适当建设快速调节机组、实施峰谷电价等旨在促进我国风电健康有序发展的实用化建议.     

电力设备风险管理方法的探讨

介绍了几种设备状态的分析和评估方法,希望有助于今后在这些方面更深入的研究,使得这种资产管理的方式在各个行业得到更为广泛的应用。     

电子式电能表中滤波器的设计

电能计量是电力交易结算的基础,计量的准确性至关重要。电子式电能表虽然已得到广泛应用,但在谐波分量大、含有大型动态冲击负荷的情况下,其计量的准确性会受到影响。因此,在经典电子式电能表计量算法的基础上,提出了一种基于数字滤波器的改进方法,利用Matlab中FDA Tool功能,设计了相应的数字滤波器用于提高电能计量的精度。仿真结果表明,在有谐波和动态负荷情况下,该方法可使有功电能、基波电能的计量误差控制在±1%范围内,验证了该方法的有效性。     

绿色材料在家电中的应用研究

在节能环保、低碳循环技术发展的大趋势下,绿色材料的开发应用已成为家电业发展的主流方向之一。本文介绍了绿色材料的概念,阐述分析了生物基材料、无毒性材料、抑霉抗菌材料等绿色材料在家电领域的应用现状,探讨了家电用绿色材料的发展前景。     

自动化控制系统及安全连锁在医药工业生产中的应用

本文重点介绍自动化设计和自动化改造,使企业在实现自动化以后,突破生产过程关键参数的检测问题;完善了被控对象的控制方案问题,而且合理地建立企业网络信息平台,同时做好了各环节的基础工作,使化学制药的自动化建设变成现实。真正在经济效益、技术进步、生产安全上,取得了明显的效果。     

暂态稳定预防控制和优化新进展

暂态稳定预防控制和优化近年来吸引了越来越多的研究兴趣,取得了一定进展。文中建立了暂态稳定预防控制和优化问题的数学优化模型,考查了问题的可行域性质,并由此探讨了解的存在性。最后简要综述了现有的计算方法,特别是近年来发展的方法。     

A signal-decomposed and interference-annihilated approach to hyperspectral target detection

A hyperspectral imaging sensor can reveal and uncover targets with very narrow diagnostic wavelengths. However, it comes at a price that it can also extract many unknown signal sources such as background and natural signatures as well as unwanted man-made objects, which cannot be identified visually or a priori. These unknown signal sources can be referred to as interferers, which generally play a more dominant role than noise in hyperspectral image analysis. Separating such interferers from signals and annihilating them subsequently prior to detection may be a more realistic approach. In many applications, the signals of interest can be further divided into desired signals for which we want to extract and undesired signals for which we want to eliminate to enhance signal detectability. This paper presents a signal-decomposed and interference-annihilated (SDIA) approach in applications of hyperspectral target detection. It treats interferers and undesired signals as separate signal sources that can be eliminated prior to target detection. In doing so, a signal-decomposed interference/noise (SDIN) model is suggested in this paper. With the proposed SDIN model, the orthogonal subspace projection-based model and the signal/background/noise model can be included as its special cases. As shown in the experiments, the SDIN model-based SDIA approach generally can improve the performance of the commonly used generalized-likelihood ratio test and constrained energy minimization approach on target detection and classification.     

Photonic Crystal Palette of Binary Block Copolymer Blends for Full Visible Structural Color Encryption

Structural color (SC) arising from a periodically ordered self-assembled block copolymer (BCP) photonic crystal (PC) is useful for reflective-mode sensing displays owing to its capability of stimuli-responsive structure alteration. However, a set of PC inks, each providing a precisely addressable SC in the full visible range, has rarely been demonstrated. Here, a strategy for developing BCP PC inks with tunable structures is presented. This involves solution-blending of two lamellar-forming BCPs with different molecular weights. By controlling the mixing ratio of the two BCPs, a thin 1D BCP PC film is developed with alternating in-plane lamellae whose periodicity varies linearly from ≈46 to ≈91 nm. Subsequent preferential swelling of one-type lamellae with either solvent or non-volatile ionic liquid causes the photonic band gap of the films to red-shift, giving rise to full-visible-range SC correlated with the pristine nanostructures of the blended films in both liquid and solid states. The BCP PC palette of solution-blended binary solutions is conveniently employed in various coating processes, allowing facile development of BCP SC on the targeted surface. Furthermore, full-color SC paintings are realized with their transparent PC inks, facilitating low-power pattern encryption.     

Hyperspectral Imagery Visualization Using Double Layers

Displaying the abundant information contained in a hyperspectral image is a challenging problem. Almost any visualization approach reduces the information content. However, we want to maximize the amount of object or material information presented. A visualization approach that uses classification as an intermediate step may maximize the information transfer. In our research, we are particularly interested in the display of mixed-pixel classification results, since most pixels in a remotely sensed hyperspectral image are mixed pixels. In this paper, we propose a visualization technique that employs two layers to integrate the mixture information (i.e., endmembers and their abundances) in each pixel. Images can be displayed with any desired level of details.