摘要：Increasing attention has been paid to the air pollution more recently. Smog chamber has been proved as a necessary and effective tool to study atmospheric processes, including photochemical smog and haze formation. A novel smog chamber was designed to study the atmospheric photochemical reaction mechanism of typical volatile organic compounds(VOCs) as well as the aging of aerosols. The smog chamber system includes an enclosure equipped with black lights as the light source, two parallel reactors(2 m^3 of each) with separate control of light source and temperature, with a series of coupled instruments for online monitoring of gas phase and particle phase reactants and products. Chamber characterization, including air source stability, effective light intensity, temperature stability, as well as gas phase and particle phase wall losses, were carried out before further research. The results showed that our smog chamber systems developed by other domestic and international groups. It was also observed that the wall loss of aromatic VOCs varied with different functional groups as well as the isomerism. The results of preliminary simulation experiment from styrene-NO_x demonstrated that the chamber can be well utilized to simulate gas-particle conversion progresses in the atmosphere.

摘要：为了提高信息管理软件异常识别的准确率,基于深度神经网络设计了一种信息管理软件自动化测试方法。利用Markov链构建信息管理软件任务剖面模型,提取用于信息管理软件自动化测试的任务流。深度优先遍历剖面,融合自动化测试操作行为的变化条件、后置条件、操作概率等信息。在此基础上,提取信息管理软件自动测试的任务流。结合已知的软件任务状态转移概率计算极限概率,将重要性显著的用例与参数信息作为优先测试的信息,完成网络训练。建立软件异常自动化识别模型,根据异常识别结果对软件异常位置进行定位,完成信息管理软件自动化测试。测试结果表明,该方法的软件自动化测试结果更准确、自动化效率更高,具有一定的应用价值。

摘要：为精准检索所需数据,提升电力调度工作的智能化水平,提出基于模糊分簇的电力调度大数据检索方法。采用模糊分簇聚类对电力调度大数据样本数据分簇,为各簇设置一个参考节点。计算电力调度大数据对象值参考节点的一维距离信息,利用近似位置信息iDistance,缩小检索范围并快速定位到目标数据,实现高效检索。实验结果显示,模糊分簇的聚类结果较好,各个簇之间不存在明显重叠或交叉,且检索结果可精准响应不同检索目标,并给出深度分析结果。

摘要：边缘计算技术的应用为解决云服务计算负载拥堵过重的问题提供了一种新思路。为此,对传统集中器进行改进,设计了新型智能集中器,使其具备边缘计算功能。新型智能集中器在保留传统集中器功能的基础上,从嵌入式和模块化方向入手,融合边缘计算的功能,构建核心计算处理模块、通信接口模块以及LTE/5G等硬件模块,构建软件容器引擎技术,建立通用软件架构,实现智能集中器的软硬件解耦。软件平台独立于硬件平台发展,满足日益增长的电网侧和用户侧需求,助力计量自动化向计量智能化发展。

摘要：卫星导航欺骗信号是卫星导航系统服务的重要威胁之一,严重影响导航、定位、授时(positioning,navigating,timing,PNT)服务,如何提升导航系统服务的安全性,已成为卫星导航服务亟待解决的问题.卫星导航信号认证是卫星导航系统端提升民用信号防欺骗的新兴技术手段,也是目前各大卫星导航系统的重要发展方向和研究热点.星基增强系统(Satellite-Based Augmentation System,SBAS)作为卫星导航系统的核心增强系统,目前正在国际民航组织(International Civil Aviation Organization,ICAO)框架下推进SBAS电文认证标准,以期在未来提供SBAS电文认证服务.伴随着我国北斗星基增强系统(BeiDou Satellite-Based Augmentation System,BDSBAS)建设完成以及下一代北斗导航系统的设计与研制,BDSBAS需要考虑在ICAO下提供SBAS电文认证服务,为用户提供更加安全可信的PNT服务.本文首先阐述了SBAS电文认证概念,然后梳理了SBAS电文认证发展历程,进一步分析了SBAS电文认证技术面临的热点问题,以期为BDSBAS电文认证服务设计提供技术支撑.