保证重要负荷不间断供电的配电网储能规划方法

以台风灾害为例提出了保证重要负荷不间断供电的配电网储能规划方法。首先,基于配电网韧性量化,给出了配电网应急响应期间内的年综合失负荷成本模型;其次,为描述灾害的时空特性以及灾害攻击造成的线路故障不确定性,构建了多阶段多区域配电线路故障状态不确定集;最后,考虑规划决策集、多阶段多区域配电线路故障状态不确定集和系统运行集,建立了以线路加固年投资成本、储能配置年投资成本和年综合失负荷成本最小为优化目标的两阶段鲁棒优化模型,并采用column-and-constraint generation (C&CG)算法求解。以IEEE33节点配电网算例和广东某地区实际电网算例仿真分析,结果表明所提规划方法具有较好的韧性提升效果和经济效益,能够有效保证灾害期间重要负荷不间断供电。     

质量功能配置中工程特性最终重要度的确定方法

针对质量功能配置中顾客需求和工程特性之间的关联关系,以及各项工程特性之间的自相关关系均具有不确定、不分明和模糊等特性,分别提出关联关系和自相关关系确定的粗糙集方法,进而确定工程特性的初始重要度.对工程特性表现的改进比率的实现进行效率和风险分析,提出实现工程特性表现的改进比率的重要性概念及其计算公式.基于工程特性的初始重要度、实现工程特性表现的改进比率的重要性和"技术点"的合成,提出一种工程特性最终重要度的确定方法.以全自动洗衣机的产品研发为实例,说明所提方法的应用.     

电力无线专网频谱监测系统规划及评估方法研究

电力无线专网频谱监测系统对保障电力无线专网的服务质量和提高专网管理水平具有重要意义,科学合理的规划部署和成效评估有利于降低系统建设成本并提高系统监测性能。文中面向电力无线专网应用场景,考虑业务分布特征和监测需求,设计了基于电力业务分布特征的监测系统规划流程,综合考虑监测能力、建设成本、使用效率等因素,构建多维度的规划成效评估指标体系,提出基于复合权重的部署成效评估计算方法并进行案例分析。分析结果表明,所提评估方法可综合评估不同规划算法在系统部署中的适配性,有利于形成科学的部署方案,促进频谱监测资源的最优化利用,指导频谱监测系统建设。     

基于VMware vSphere的分布式协同软件测试平台构建

为了解决复杂分布式软件测试中经常需要多机器间协同配合以完成测试工作的问题,提出一种基于VMware vSphere的协同软件测试平台的设计方法.探讨了测试平台的技术选型及架构设计,并对平台设计中的关键技术进行了分析和说明.结果表明,该平台对测试中可预见的虚拟机操作提供了充分的自动化支持,使诸多需要多机器协同配合的复杂测试用例实现了自动化,对缩短软件开发周期,降低软件研发成本,提高软件质量具有一定借鉴价值.     

基于信息的质量功能配置公理化研究

在研究公理化设计方法中的独立性公理和信息公理的基础上，对传统的质量功能配置中质量屋的实现过程进行了量化描述，根据质量屋创建特点，提出了信息相关性假说和传递距离假说，并给出量化指标，经过编程计算，证明提出的公理及其量化指标，在分析用户需求信息和技术需求信息的相关性，以及判定技术需求重要性方面有着明显的优点。     

Survey on computation offloading in mobile edge computing

Computation offloading in mobile edge computing would transfer the resource intensive computational tasks to the edge network.It can not only solve the shortage of mobile user equipment in resource storage,computation performance and energy efficiency,but also deal with the problem of resource occupation,high latency and network load compared to cloud computing.Firstly the architecture of MEC was introduce and a comparative analysis was made according to various deployment schemes.Then the key technologies of computation offloading was studied from three aspects of decision on computation offloading,allocation of computing resource within MEC and system implement of MEC.Based on the analysis of MEC deployment scheme in 5G,two optimization schemes on computation offloading was proposed in 5G MEC.Finally,the current challenges in the mobility management was summarized,interference management and security of computation offloading in MEC.     

Resource optimization algorithm of combination of NFV and SDN for application of multiple services

Various services of internet of things (IoT) require flexible network deployment to guarantee different quality of service (QoS).Aiming at the problem of IoT service function chain deployment,network function virtualization (NFV) and software defined networking (SDN) were combined to optimize resources.Considering forwarding cost and traffic load balance,a joint optimization model of virtual network function placement and service function chain routing was given and was proved to be NP-Hard.In order to solve this model,two heuristic algorithms were proposed.One was the service chain deployment algorithm of first routing then placing (FRTP) and the other was the placing followed by routing (PFBR) based on node priority.Simulation results demonstrate that FRTP and PFBR algorithm can significantly balance network traffic load while alleviating congestion and improving the acceptance ratio of the chain requests compared with other algorithms.     

基于QFD与TRIZ技术工具的产品概念设计方法

为消除产品概念设计过程中可能产生的二层问题的负面影响，提出了一种基于质量功能配置与创造性解决问题理论的三种技术工具综合的产品概念设计方法。该方法通过质量功能配置的质量屋分析确定需要改善的零部件；在对零部件进行负相关分析的基础上，应用创造性解决问题理论技术工具提出解决一对质量特性负相关的方案；然后通过多次循环的质量功能配置分析与创造性解决问题理论技术工具应用，预测可能产生的二层问题并降低其负面影响，进而形成有效的产品概念设计方案。通过在某全自动洗衣机研发过程中的实际应用，验证了该方法的有效性和实用性。     

基于OC4J的民航气象数据库服务平台部署

对民航气象数据库系统的概况和OC4J的基本内容进行了简要的介绍,并详细说明了民航气象数据库服务器的OC4J的安装过程、数据库系统参数的配置以及环境变量的设置,还阐述了利用OC4J对民航气象数据库服务平台进行工程实例部署的过程,总结了OC4J与其他Web服务组件相比所具有的特点和适用的范围,对今后类似工程实例的部署具有一定的借鉴意义。     

Survivability-oriented optimal node density for randomly deployed wireless sensor networks

The survivability is usually critical for wireless sensor networks,which are often deployed in the unattended harsh environment.Lots of technical schemes to improve the survivability depend on the redundant resources of the sensor networks.The amount of resources is usually determined by the node density during the deployment phase.For the random deployment and random node failures,the quantitative relation between the survivability and the node density is studied.Based on the conditional survivability,the node density to meet the required survivability level is presented.Finally,the survivability for unpredictable failures and the optimal node density to maximize the price–performance ratio are also discussed.