An Efficient Memory Management for Mobile Operating Systems Based on Prediction of Relaunch Distance

Recently,various mobile apps have included more features to improve user convenience.Mobile operating systems load as many apps into memory for faster app launching and execution.The least recently used(LRU)-based termination of cached apps is a widely adopted approach when free space of the main memory is running low.However,the LRUbased cached app termination does not distinguish between frequently or infrequently used apps.The app launch performance degrades if LRU terminates frequently used apps.Recent studies have suggested the potential of using users’app usage patterns to predict the next app launch and address the limitations of the current least recently used(LRU)approach.However,existing methods only focus on predicting the probability of the next launch and do not consider how soon the app will launch again.In this paper,we present a new approach for predicting future app launches by utilizing the relaunch distance.We define the relaunch distance as the interval between two consecutive launches of an app and propose a memory management based on app relaunch prediction(M2ARP).M2ARP utilizes past app usage patterns to predict the relaunch distance.It uses the predicted relaunch distance to determine which apps are least likely to be launched soon and terminate them to improve the efficiency of the main memory.

Development Methodologies for Network Softwarization: A Comparison of DevOps, NetOps, and Verification

This white paper explores three popular development methodologies for network softwarization: DevOps, NetOps, and Verification. The paper compares and contrasts the strengths and weaknesses of each approach and provides recommendations for organizations looking to adopt network softwarization.

Research and Design of IPv6 Network Management and Operations Support System

IPv6 is the foundation of the development of Next Generation Internet (NGI). An IPv6 network management and operations support system is necessary for real operable NGI. Presently there are no approved standards yet and relevant equipment interfaces are not perfect. A Network Management System (NMS) at the network layer helps implement the integrated management of a network with equipment from multiple vendors, including the network resources and topology, end-to-end network performance, network failures and customer Service Level Agreement (SLA) management. Though the NMS will finally realize pure IPv6 network management, it must be accommodated to the management of relevant IPv4 equipment. Therefore, modularized and layered structure is adopted for the NMS in order to implement its smooth transition.

Modeling the Proposal of the Simultaneous Purchases and Sales of Electricity and Gas for the Energy Market in a Microgrid Using the Harmony Search Algorithm

The use of different energy carriers together,known as an energy hub,has been a hot topic of research in recent years amongst scientists and researchers.The term energy hub refers to the simultaneous operation of various infrastructures for energy generation and transfer,which has gained momentum in the form of microgrids(MGs).This paper introduces a new strategy for the optimal performance of an MG consisting of different energy carriers for each day.In a smart distribution network(DN),MGs can reduce their own costs in the previous-day market by bidding on sales and purchases.The sales and purchases bidding problem is challenging due to different uncertainties,however.This paper proposes a two-stage strategy for making an optimal bid on electricity sales and purchases with electricity and gas price dependency in the previous-day and real-time markets for an energy hub.In this model,the MG behavior regarding the electricity and gas energy sales/purchase,the simultaneous effects of electricity and gas prices,as well as the energy carriers’dependence on one another are all examined.Due to the inherent uncertainty in the sources of clean energy production,the probabilistic model and the production and reduction scenario have been used in the paper to cover this issue.In the proposed grid,energy sales/purchases are presented in a multi-carrier MG in a two-stage model.This model is solved by using the harmony search algorithm in MATLAB.Numeric results demonstrate the benefits of this model in reducing energy hub costs of operation.

Identification of Key Links in Electric Power Operation Based-Spatiotemporal Mixing Convolution Neural Network

As the scale of the power system continues to expand,the environment for power operations becomes more and more complex.Existing risk management and control methods for power operations can only set the same risk detection standard and conduct the risk detection for any scenario indiscriminately.Therefore,more reliable and accurate security control methods are urgently needed.In order to improve the accuracy and reliability of the operation risk management and control method,this paper proposes a method for identifying the key links in the whole process of electric power operation based on the spatiotemporal hybrid convolutional neural network.To provide early warning and control of targeted risks,first,the video stream is framed adaptively according to the pixel changes in the video stream.Then,the optimized MobileNet is used to extract the feature map of the video stream,which contains both time-series and static spatial scene information.The feature maps are combined and non-linearly mapped to realize the identification of dynamic operating scenes.Finally,training samples and test samples are produced by using the whole process image of a power company in Xinjiang as a case study,and the proposed algorithm is compared with the unimproved MobileNet.The experimental results demonstrated that the method proposed in this paper can accurately identify the type and start and end time of each operation link in the whole process of electric power operation,and has good real-time performance.The average accuracy of the algorithm can reach 87.8%,and the frame rate is 61 frames/s,which is of great significance for improving the reliability and accuracy of security control methods.

中国油气管网运行关键技术及展望

管道是连接油气产业链上下游的关键纽带,是现代能源体系和现代综合交通体系的重要组成部分。在油气体制深化改革和“碳达峰、碳中和”战略目标下,油气管道正朝着大型化、网络化、多元化的方向发展,为大规模复杂管网的运行管理带来了新的机遇和挑战。基于我国油气管网发展现状,聚焦系统分析、仿真优化、运行监测和新型管道输送4个关键领域,剖析了油气管网运行相关研究的发展动态以及面临的难点,包括管网系统可靠性和韧性评估技术、管网运行仿真和调运优化技术、管道本体监测与修复技术以及氢气、甲醇、液氨、LNG管道输送技术等。针对“全国一张网”新阶段和“多能源互补”新动向,总结了数字孪生、智能调控、智能预警、多网融合等前瞻性技术攻关方向,旨在推动我国油气管网安全、高效、绿色转型。最后,提出展望:现阶段,需要立足我国能源资源禀赋,加快适应新形势下的管网运营模式,发挥油气管网在“全国一张网”发展新阶段下的能源大动脉作用;未来,需要稳步推进多元介质的管网灵活输送,挖掘油气管网在综合立体交通和综合能源系统中的发展潜力。

面向6G的数字孪生网络综述:架构、应用和挑战

数字孪生网络(digital twin network,DTN)是一种利用数字孪生(digital twin,DT)技术创建物理网络设施的孪生虚拟数字网络。通过DT技术,DTN将从多个方面提升6G网络的能力,包括智能故障管理、智能网络优化和管理、网络智慧内生,助力实现极简化、智能化和自动化的网络。通过对DTN进行全面研究,描述了DTN的主要特征和定义,阐述了DTN的架构、协议及接口和生命周期管理,并阐述其在模型管理与部署、资源管理与调度、安全与隐私保护、智能网络运维和智能交通这几个方面的应用,分析了DTN的挑战与未来。

我国水库大坝安全挑战与运维思考

水库大坝是国家水网的重要调蓄结点,是防御水旱灾害、优化水资源配置、复苏河湖生态环境、提升国家水安全保障能力的“重器”。新形势下我国水库大坝运行管理面临的潜在风险日益突出,针对运行管理信息化、智能化水平不高,安全保障技术装备存在薄弱环节,应急管理水平与技术能力不足等问题与挑战,从大坝防洪韧性、安全管理、诊断加固、应急处置等方面提出安全对策,旨在为提升大坝安全水平提供有益思路。

适应四网融合的市域(郊)铁路列控系统互联互通设计方案研究

近年来,“四网融合”发展已成为国家对轨道交通发展的重大战略,信号系统互联互通是实现“四网融合”的关键条件。从信号系统应用情况看,近期市域(郊)铁路信号系统列控制式大多数采用CTCS2+ATO,城市轨道交通线路信号系统主要采用CBTC,有必要对这两种列控系统互联互通设计方案进行研究。依托实际工程应用需求,采用重点内容举例和类比分析方法。首先,分析了互联互通土建及设备系统需要具备的工程条件,并对两种典型列控系统情况进行说明;之后,结合国内互联互通线路接驳及车站配线工程需求,阐述互联互通主要设计原则、制式转换最关键的共管区设计要点,以举例分析方式对停车和不停车切换的典型运营场景进行说明;最后,根据不同的设备设置方式,从调度指挥、车载列控和联锁设备几个方面,提出了完全独立和完全融合两种系统互联互通的建议方案;系统阐述互联互通需要具备的工程条件、共管区结合列控系统统一布置的设计要点,按两套车载设备同时在线和作业流程研究典型运营场景,提出了完全独立和完全融合两种方案的调度信息处理、车辆接口方式和联锁处理策略。

Optimal Operation of Flexible Distribution Networks for Security Improvement Considering Active Management

This paper presents a stochastic optimal operation problem of gas turbine integrated distribution networks in the presence of active management schemes,which is formulated as a multi-objective chance-constrained mixed integer nonlinear programming problem.The control variables are the on-load tap-changer tap position,the power provided by the distributed generation(DG),the DG power factor angle,the load participating in demand side management and the switch status.The objectives defined in this paper are to simultaneously minimize the expectation cost and variation coefficient of security distance.Uncertainties related to DG output and load fluctuation and fault power restoration under contingencies are also considered in the optimization problem.The collaboration of normal boundary intersection and the dynamic niche differential evolution algorithm is proposed to handle the optimal operation mode.Simulation results are presented and demonstrate the effectiveness of the proposed model.Compared with the operation result without the consideration of security,the security-constrained operation can reduce the expectation cost.Therefore,the proposed optimization is reasonable and valuable.

基于RPA技术的网络安全运营自动化实践应用研究

研究了围绕网络与信息系统的全生命周期,面向网络安全运营全流程场景,以机器人流程自动化(robotic process automation,RPA)技术和自适应网络安全技术建立能力框架,以期解决网络安全运营工作人工依赖性高、网络安全能力平台相对割裂、网络安全运营工作要点缺失等普适性痛点问题。构建了基于RPA技术的网络安全运营自动化平台,实现主要日常性网络安全工作的自动化转型,并将剩余人力资源配置到暂时不能自动化的领域,如业务层网络安全分析、业务网络安全渗透、漏洞挖掘、自动化运营脚本编制等方面,最终达到缓解人力不足,解决人员缺失,避免网络安全工作覆盖面不全、效能不高等目的。

超高压输变电设备的智能化网络运维管理分析

阐述超高压输变电系统的设计平台架构、智能化网络运维管理特点。分析关键技术与解决方法,包括管控分级、差异化运维、基准态分析,保障设备可靠运行。

城市运行“一网统管”标准体系构建研究

城市运行“一网统管”作为城市治理新模式,是提升城市治理能力和治理水平的重要抓手。本文以“一网统管”建设思路为主线,运用标准化的理论和方法,提出构建“一网统管”标准体系的原则,从总体、基础设施、数据汇聚、运行管理服务、业务应用、建设运维、安全保障七个维度搭建出标准体系结构,阐述了各类标准的主要内容,提出标准研制重点方向,为“一网统管”高质量发展提供标准化技术支撑。

基于辅助微应用的配网标准化作业管理

智能电网是现代电力系统的发展方向,配网标准化作业在智能电网建设中起着重要的作用。基于配网作业安全生产管理环境和企业自身特点,围绕“小场景、微创新、深应用、大作为”的管理提升理念,将标准化作业与数字化技术相结合,在配网标准化作业管理中借助智能穿戴设备、标准化作业管控系统等辅助微应用,建立作业现场集约管控、作业工单线上交互、作业现场实时监督、故障问题智能处置的配网标准化作业管控系统,将配网作业相关工作从“线下”转向“线上”,依托数字化和智能化为作业班组减负,也进一步管控作业现场规范性和合规性,让配网现场作业的工作步骤有迹可循、有章可依,切实提升标准化作业水平。

基于四网融合的既有铁路市域化运营改造与发展研究——以西户铁路为例

针对四网融合背景下既有铁路市域化运营改造的相关问题,以西户铁路为例,研究既有铁路市域化运营改造的新思路与新模式。首先结合市域铁路的功能定位,在梳理既有铁路开行市域列车建设模式和运营特点的基础上,提出现阶段利用既有铁路开行市域列车存在技术标准不完善、线网融合程度低、客流强度不高、运营亏损严重等问题;然后以西户铁路开行市域列车为例进行研究,分析运输组织模式、客流特征、交通接驳方式等内容,深入探讨单线市域铁路客货混跑模式的适用性;最后论述市域铁路高质量发展的优化策略,提出统筹前期规划、优化交通衔接、提升运营效率、加快用地开发、打破管理壁垒等建议方案,为后续既有铁路改造提升提供参考。

银行业DAO数字化安全运营体系研究

在网络威胁呈爆发式增长的当下,随着业务模式数字化重塑与业务持续性增长,银行业面临因网络安全防线持续扩大所导致的安全设备冗杂、安全运营任务繁重、实战能力不足等问题.对银行业金融机构在安全运营中所面临的挑战进行分析,提出了融合平战一体化安全运营机制的银行业DAO(defence,ability and operation)数字化安全运营体系,重点研究纵深化防护基础、原子化能力中枢、数字化运营总台3层次架构,以及针对常态化、高强度、无间断防护目标的平战一体机制实施路径.

考虑配电网脆弱性的储能双层优化配置模型

针对大规模分布式电源并网时配电网调控能力不足导致的配网脆弱性差、供需不平衡及运维成本增加等问题,立足储能设备的灵活响应特性,提出1种计及储能配置和运行耦合的双层协同优化模型。上层模型考虑储能系统配置成本、网络运行损耗成本和主网购电成本,探究储能最优配置方案;下层模型以优化电网综合脆弱性为目标感知电网运行的改善潜力,修正上层储能配置方案并制定储能能量管理策略。引入混沌理论及动态惯性权重策略优化算法性能,以改进的混沌粒子群算法求解优化模型。算例分析表明,所提储能配置方案及运行优化策略有效改善了电网运行脆弱性,提高了配电网运行水平。

城市治理现代化建设的路径依赖、模式演进和创新实践——以上海市松江区为例

城市治理体制和治理能力现代化建设已成为基本国策,城市治理精细化的能力体现的是“绣花功夫”,展现的是基层政府的综合治理水平和治理能力建设。在提炼概括松江区开展城乡治理现代化的发展路径和模式演进的基础上,分析松江区创建“四位一体”“1+18+304+1322”网格化治理体系和工作方法,提出了上海城市治理现代化建设的依赖路径和演进模式。

接触网智能监测系统在城市轨道交通供电系统运维中的应用研究

研究了接触网智能监测系统在城市轨道交通供电系统运维中所使用的关键技术,分析了无线通信技术、数据处理与分析技术、故障诊断与预测技术等的应用优势及使用范围,并以供电系统运维实践为例,探讨了接触网智能监测系统的应用方法,总结出使用接触网智能监测系统进行能源管理优化、系统安全监控及故障预警诊断的策略方案,为供电系统运维带来了新的可能性。

基于标准齿轮减速箱的故障混合预测分析模型

在制药生产线中,搅拌器是主反应器的主要组件,体积最大,结构相对复杂,与其他设备存在串联关系。如果发生故障,一方面需要停掉整个生产线对其进行故障诊断与维修,从而造成非计划停机的设备闲置损失;另一方面,突发性的非计划停机,会造成设备中的化学材料反应物质浪费。针对此问题,提出一种基于标准齿轮减速箱的故障混合预测分析模型。通过对振动信号进行特征提取以及变分模态分解,将转换的频域特征数据和幅值数据按照时间序列融合,并将数据分为故障数据、设备带病运行数据以及设备健康运行数据3类,通过自注意力网络层进行特征提取。实验表明,该模型可以准确预测设备的故障,且在测试集的准确率达到83.61%,验证了实验的有效性与优越性。