基于红外吸收原理的SF6气体泄漏检测技术应用研究

SF6分解气体在线监测装置在长期运行过程中可能会发生SF6泄漏,严重时会影响一次设备的安全运行,需要对其泄漏状态进行检测.通过比较现有SF6气体泄漏检测方法,本文提出采用非分散红外吸收传感器检测SF6气体泄漏,搭建传感器检测电路及泄漏模拟实验平台,研究传感器对不同泄漏速度、不同泄漏点的响应特性,以及布置位置、进气口朝向对传感器检测特性的影响.结果显示,随着泄漏速度增大,传感器响应增加并最终趋于稳定,且不同位置传感器对三种泄漏点的响应速度、响应值不同,其中3号位置的传感器对三种泄漏点都具有较好的响应特性,是传感器安装的优选位置;同时传感器侧向安装响应速度更快.该技术能对不同速度的SF6泄漏进行实时检测,通过传感器多点布置可以实现对泄漏区域的定位.     

全自动电力用油抗氧化安定性检测系统的研究

采用全自动电力用油检测技术,通过全自动铜丝预处理装置、多工位金属浴加热方式以及自动控制系统,准确控制氧弹的自动充放气、漏气检测等功能,具备自动控制、多重保护和远程监控等作用,大幅度地提高了试验效率和准确性.     

Memristor-based chaotic neural networks for associative memory

In chaotic neural networks, the rich dynamic behaviors are generated from the contributions of spatio-temporal summation, continuous output function, and refractoriness. However, a large number of spatio-temporal summations in turn make the physical implementation of a chaotic neural network impractical. This paper proposes and investigates a memristor-based chaotic neural network model, which adequately utilizes the memristor with unique memory ability to realize the spatio-temporal summations in a simple way. Furthermore, the associative memory capabilities of the proposed memristor-based chaotic neural network have been demonstrated by conventional methods, including separation of superimposed pattern, many-to-many associations, and successive learning. Thanks to the nanometer scale size and automatic memory ability of the memristors, the proposed scheme is expected to greatly simplify the structure of chaotic neural network and promote the hardware implementation of chaotic neural networks.     

一体化锅炉水处理剂的制备及性能研究

利用自制SW-56共聚物，复配有机磷酸盐和焦亚硫酸钠除氧剂及消泡剂，成功制备XF-4一体化锅炉水处理剂。对XF-4锅炉水处理剂的阻垢、缓蚀进行了试验研究，表明其具有优良的阻垢能力，可以明显抑制热水锅炉积垢现象；加入改性除氧剂能降低锅炉水中溶解氧的含量，使腐蚀控制较理想；配方中的消泡剂组分可防止锅炉水表面起泡，抑制高悬浮物下的携带作用。     

Maximum error-bounded Piecewise Linear Representation for online stream approximation

Given a time series data stream, the generation of error-bounded Piecewise Linear Representation (error-bounded PLR) is to construct a number of consecutive line segments to approximate the stream, such that the approximation error does not exceed a prescribed error bound. In this work, we consider the error bound in \(L_\infty \) norm as approximation criterion, which constrains the approximation error on each corresponding data point, and aim on designing algorithms to generate the minimal number of segments. In the literature, the optimal approximation algorithms are effectively designed based on transformed space other than time-value space, while desirable optimal solutions based on original time domain (i.e., time-value space) are still lacked. In this article, we proposed two linear-time algorithms to construct error-bounded PLR for data stream based on time domain, which are named OptimalPLR and GreedyPLR, respectively. The OptimalPLR is an optimal algorithm that generates minimal number of line segments for the stream approximation, and the GreedyPLR is an alternative solution for the requirements of high efficiency and resource-constrained environment. In order to evaluate the superiority of OptimalPLR, we theoretically analyzed and compared OptimalPLR with the state-of-art optimal solution in transformed space, which also achieves linear complexity. We successfully proved the theoretical equivalence between time-value space and such transformed space, and also discovered the superiority of OptimalPLR on processing efficiency in practice. The extensive results of empirical evaluation support and demonstrate the effectiveness and efficiency of our proposed algorithms.     

聚糖菌反硝化影响因素及内碳源转化特性

在SBR反应器中以乙酸钠为碳源、\mathrm{N}{\mathrm{O}}_3^{-}-N为电子受体成功富集了反硝化聚糖菌，并采用批次实验进一步考察了进水C/N比（3.3,6.7,10）、电子受体（\mathrm{N}{\mathrm{O}}_3^{-}-N、\mathrm{N}{\mathrm{O}}_2^{-}-N）、碳源类型（乙酸钠、葡萄糖）对反硝化聚糖菌活性的影响及内碳源转化特性。实验结果表明，进水C/N比越高，系统\mathrm{N}{\mathrm{O}}_x^{-}-N去除率越高，厌氧段合成PHB越多，但进水C/N比过高会导致普通反硝化菌占优势，影响内碳源反硝化效率，进水C/N比为6.7较为合适；以\mathrm{N}{\mathrm{O}}_3^{-}-N为电子受体长期培养的DGAOs系统未经\mathrm{N}{\mathrm{O}}_2^{-}-N驯化，对\mathrm{N}{\mathrm{O}}_2^{-}-N同样具有良好的反硝化性能，在投加与\mathrm{N}{\mathrm{O}}_3^{-}-N相同浓度的\mathrm{N}{\mathrm{O}}_2^{-}-N后，系统\mathrm{N}{\mathrm{O}}_x^{-}-N去除率达89.6%；当以葡萄糖为碳源时，DPAOs在厌氧段合成的PHB的量仅为以乙酸钠为碳源时合成PHB量的79.5%，且厌氧段葡萄糖利用率仅为72.8%，远远小于乙酸钠的利用率。     

一种新的基于隐喻地图的RPA路径规划算法

智能化地制定机器人流程自动化(robotic process automation, RPA)执行路径有利于企业节约相关人力成本以及提高RPA的推广,提出基于改进深度双Q网络(double deep Q-learning algorithms, DDQN)算法进行RPA路径规划。首先针对存在RPA的作业环境即Web页面,不满足深度增强算法的探索条件的问题,借助隐喻地图的思想,通过构建虚拟环境来满足路径规划实验要求。同时为了提高DDQN算法探索效率,提出利用样本之间的位置信息的杰卡德系数,将其作为样本优先度结合基于排名的优先级(rank-based prioritization)构建新的采样方式。通过随机采用任务样本在虚拟环境上进行验证,证明其符合实验要求。进一步比较改进DDQN、深度Q网络(deep Q network, DQN)、DDQN、PPO以及SAC-Discrete算法的实验结果,结果显示改进算法的迭代次数更少、收敛速度更快以及回报值更高,验证了改进DDQN的有效性和可行性。     

A Novel Fluorescence Probe 9-（4-（1,2-diamine）benzeneN 1-phenyl）acridine for Nitric Oxide Determination

A novel fluorescent probe 9-(4-(1,2-diamine)benzene-N1-phenyl)acridine(DABPA) was synthesized for the detection of nitric oxide(NO) and characterized by IR, 1H-NMR and EI-MS spectroscopy. Based on a photoelectron transfer mechanism, the fl uorescence intensities of DABPA were investigated with the different concentrations of NO. Under the optimal experimental conditions, the fl uorescence intensity of DABPA had a good linear relationship(R2=0.9977) with NO concentration in the range from 1×10-7 to 1.5×10-6 mol/L with a detection limit of 1×10-8 mol/L. The cytotoxicity induced by DABPA was evaluated by the MTT(3-(4,5-dimethylthiazol-2-yl)-2,5diphenyl tetrazolium bromide) assay for biological application. Furthermore, the probe DABPA had also been successfully applied to real-time image NO produced in PC12 cells in the presence of L-arginine.     

企业产学研合作原始创新系统的演化机制

为了掌握以企业为主导的产学研合作原始创新系统演化的一般规律,引导其良性发展,从理论上分析了企业产学研合作原始创新的内涵、系统结构、系统自组织产生的条件、系统自组织演化的路径及结果等问题。运用哈肯模型建立企业产学研合作原始创新系统的演化方程,通过实证分析得出了系统演化中的关键变量,并进一步分析了系统的演化机制。该研究为探索我国企业产学研合作原始创新系统的发展规律提供了理论参考。     

基于遗传算法的箱型结构焊接顺序优化

基于遗传算法原理,建立了箱型结构热-机耦合非线性三维优化仿真模型,以焊接变形为目标函数,进行了焊接顺序数值仿真优化.通过仿真计算优化结果与试验数据比较,证明所提出的优化方法与热-机模型结合是可行的,对于给定的焊接条件,通过选择合适的目标函数,采用遗传算法可以确定最优焊接顺序.这为针对工程具体问题设计焊接工艺提供了可靠的依据.