Research and Application of Distributed Data Mining Method for Improving Rural Power Grid Enterprises in Production and Operation Status Evaluation

With the reform of rural network enterprise system,the speed of transfer property rights in rural power enterprises is accelerated.The evaluation of the operation and development status of rural power enterprises is directly related to the future development and investment direction of rural power enterprises.At present,the evaluation of the production and operation of rural network enterprises and the development status of power network only relies on the experience of the evaluation personnel,sets the reference index,and forms the evaluation results through artificial scoring.Due to the strong subjective consciousness of the evaluation results,the practical guiding significance is weak.Therefore,distributed data mining method in rural power enterprises status evaluation was proposed which had been applied in many fields,such as food science,economy or chemical industry.The distributed mathematical model was established by using principal component analysis(PCA)and regression analysis.By screening various technical indicators and determining their relevance,the reference value of evaluation results was improved.Combined with statistical program for social sciences(SPSS)data analysis software,the operation status of rural network enterprises was evaluated,and the rationality,effectiveness and economy of the evaluation was verified through comparison with current evaluation results and calculation examples of actual grid operation data.

Statecharts for Distributed Product Data Management System Modelling

Product data management (PDM) has been accepted as an important tool for the manufacturing industries. In recent years, more and mor e researches have been conducted in the development of PDM. Their research area s include system design, integration of object-oriented technology, data distri bution, collaborative and distributed manufacturing working environment, secur ity, and web-based integration. However, there are limitations on their rese arches. In particular, they cannot cater for PDM in distributed manufacturing e nvironment. This is especially true in South China, where many Hong Kong (HK) ma nufacturers have moved their production plants to different locations in Pearl R iver Delta for cost reduction. However, they retain their main offices in HK. Development of PDM system is inherently complex. Product related data cover prod uct name, product part number (product identification), drawings, material speci fications, dimension requirement, quality specification, test result, log size, production schedules, product data version and date of release, special tooling (e.g. jig and fixture), mould design, project engineering in charge, cost spread sheets, while process data includes engineering release, engineering change info rmation management, and other workflow related to the process information. Accor ding to Cornelissen et al., the contemporary PDM system should contains manageme nt functions in structure, retrieval, release, change, and workflow. In system design, development and implementation, a formal specification is nece ssary. However, there is no formal representation model for PDM system. Theref ore a graphical representation model is constructed to express the various scena rios of interactions between users and the PDM system. Statechart is then used to model the operations of PDM system, Fig.1. Statechart model bridges the curr ent gap between requirements, scenarios, and the initial design specifications o f PDM system. After properly analyzing the PDM system, a new distributed PDM (DPDM) system is proposed. Both graphical representation and statechart models are constructed f or the new DPDM system, Fig.2. New product data of DPDM and new system function s are then investigated to support product information flow in the new distribut ed environment. It is found that statecharts allow formal representations to capture the informa tion and control flows of both PDM and DPDM. In particular, statechart offers a dditional expressive power, when compared to conventional state transition diagr am, in terms of hierarchy, concurrency, history, and timing for DPDM behavioral modeling.

Web-services-based Integration Design of PDM and DNC Systems

In a networked manufacturing environment, product data integration is the foundation of collaborative manufacturing among manufacturing enterprises. It is very important to build an effective integration mechanism for product data sharing of manufacturing enterprises in geographically dispersed, heterogeneous system platform. In order to integrate enterprise level product data management (PDM) system and shop floor level distributed numerical control (DNC) system, based on the description of Web services technology, a Web-services-based integration approach is presented for facilitating seamless sharing of product data between PDM and DNC systems in a networked manufacturing environment. In order to verify the validity of the proposed approach, an example-based integration development has been implemented with Java 2 Software Development Kit and Java Web Services Developer Pack in Windows 2000 Professional environment.

Study on the Prediction System of Shrimp Field Distribution in the East China Sea Based on Big Data Analysis of Fishing Trajectories

In recent years,China has paid more and more attention to the development of marine economy and the management and protection of fishery resources.The management departments at all levels regulate and manage the fishing behavior of fishing vessels through the data of fishing trajectories.In this paper,the distribution of shrimp farms in the East China Sea is predicted by studying the trajectories and behavior patterns of shrimp boats in the system of fishing trajectories.At the same time,a set of shrimp farm distribution management system based on Back Propagation algorithm is established.It can monitor the trajectories of fishing boats and the distribution of shrimp groups in real time,which effectively improves the work efficiency and management mode of the management department.It also plays a positive role in regulating the behavior of fishing boats at sea.

Implementation and Validation of the Optimized Deduplication Strategy in Federated Cloud Environment

Cloud computing technology is the culmination of technical advancements in computer networks,hardware and software capabilities that collectively gave rise to computing as a utility.It offers a plethora of utilities to its clients worldwide in a very cost-effective way and this feature is enticing users/companies to migrate their infrastructure to cloud platform.Swayed by its gigantic capacity and easy access clients are uploading replicated data on cloud resulting in an unnecessary crunch of storage in datacenters.Many data compression techniques came to rescue but none could serve the purpose for the capacity as large as a cloud,hence,researches were made to de-duplicate the data and harvest the space from exiting storage capacity which was going in vain due to duplicacy of data.For providing better cloud services through scalable provisioning of resources,interoperability has brought many Cloud Service Providers(CSPs)under one umbrella and termed it as Cloud Federation.Many policies have been devised for private and public cloud deployment models for searching/eradicating replicated copies using hashing techniques.Whereas the exploration for duplicate copies is not restricted to any one type of CSP but to a set of public or private CSPs contributing to the federation.It was found that even in advanced deduplication techniques for federated clouds,due to the different nature of CSPs,a single file is stored at private as well as public group in the same cloud federation which can be handled if an optimized deduplication strategy be rendered for addressing this issue.Therefore,this study has been aimed to further optimize a deduplication strategy for federated cloud environment and suggested a central management agent for the federation.It was perceived that work relevant to this is not existing,hence,in this paper,the concept of federation agent has been implemented and deduplication technique following file level has been used for the accomplishment of this approach.

一种基于NAND Flash存储芯片的文件系统设计与实现

主要介绍一种采用NAND Flash存储芯片的基于预分配存储空间和冗余管理数据技术的文件系统设计,通过该文件系统实现对大批量数据的读写访问,满足系统对可用性和可恢复性的要求。

Statistically Dual Distributions and Estimation

The reconstruction of a parameter by the measurement of a random variable depending on the parameter is one of the main tasks in statistics. In statistical inference, the concept of a confidence distribution and, correspondingly, confidence density has often been loosely referred to as a distribution function on the parameter space that can represent confidence intervals of all levels for a parameter of interest. In this short note, the notion of statistically dual distributions is discussed. Based on properties of statistically dual distributions, a method for reconstructing the confidence density of a parameter is proposed.

An Efficient SDFRM Security System for Blockchain Based Internet of Things

Blockchain has recently sparked interest in both the technological and businessfirms.The Internet of Things's(IoT)core principle emerged due to the connectivity of several new technologies,including wireless technology,the Inter-net,embedded automation systems,and micro-electromechanical devices.Manu-facturing environments and operations have been successfully converted by implementing recent advanced technology like Cloud Computing(CC),Cyber-Physical System(CSP),Information and Communication Technologies(ICT)and Enterprise Model,and other technological innovations into the fourth indus-trial revolution referred to as Industry 4.0.Data management is defined as the pro-cess of accumulation in order to make better business decisions,and process,secure and store information about a company.In the incipient model,there are interconnected contrivances and Machine-to-Machine(M2M)interactions,and transaction data are stored on the Blockchain.Security is a challenging aspect that must be punctiliously considered during the design and development phases of a CSP.In this research article,we proposed a Secure and Distributed Framework for Resource Management(SDFRM)in Industry 4.0 environments within a distribu-ted and collaborative Industry 4.0 system,the dynamic and trust-based Distributed Management Framework(DMF)of shared resource access.Such issues are focused by taking into account of the traditional characteristics of IoT/Industrial Internet of Things’(IIoT)-predicated environments,an SDFRM in Industry 4.0 environments within a distributed and collaborative Industry 4.0 system.Also,to ensure strong privacy over the procedures associated with Access Control(AC),a privacy-preserving method is proposed and integrated into the DMF.The proposed DMF,based on blockchain technology and peer-to-peer networks,allows dynamic access management and system governance without using third parties who could be attacked.We worked hard to design and implement the pro-posal to demonstrate its viability and evaluate its performance.Our proposal out-performs the Multichain Blockchain in terms of successful storage transactions with an achieved average throughput of 98.15%.

基于栅格数据的辽中南城市群人居环境自然适宜性测评

以辽中南城市群为研究对象,基于1km×1km栅格数据,建立了基于地形起伏度、植被、水文、温湿指数的人居环境自然适宜性综合评价模型,对人居环境自然适宜性进行了综合评价与合理分区。研究结果表明:①辽中南城市群人居环境自然适宜性受地形条件限制较小,受水文、植被、气候条件限制较大。②辽中南城市群人居环境自然适宜性指数范围为19.03~84.15,在空间上总体呈现出西高东低的态势。③中度适宜地区分布最广,高度适宜地区与不适宜地区面积最小。④辽中南城市群64.48%的人口分布在中高度适宜地区。

战略需求导向下的资金集中管理模式变革研究——基于美的集团的纵向案例分析

基于美的集团纵向单案例,分析企业资金集中管理模式随战略需求变化而动态调整的实施效果。研究发现,从机会成长阶段—规模成长阶段—优化升级阶段,美的集团战略需求呈现出“异地扩张—产业扩张—国际化与多元化扩张”的变化态势,其资金集中管理模式经历了“结算中心异地结算模式—数据大集中模式—财务公司”的动态调整,资金集中管理模式对应职能也在动态调整中完成了“异地资金管理能力—跨业务协调能力—金融发展能力”的叠加。美的集团根据战略需求变化动态调整资金集中管理模式是资金集中管理活动成功的关键,这一研究发现对战略需求影响资金集中管理模式的理论解释提供了案例依据,也为集团企业的资金集中管理模式选择提供了启示。

基于边端协作的分布式数据分级管理技术

随着智能应用在嵌入式装备系统中的不断普及与发展,对大数据的有效利用和深度融合提出了更高的要求。然而,嵌入式装备类型多样、大数据多源异构,由于缺乏统一的组织管理,业务应用间存在数据壁垒,并出现了数据孤岛现象,导致大数据利用与开发困难。因此,在嵌入式装备系统中,如何有效组织管理数据是亟待解决的难点。为此,以嵌入式装备系统的数据统一管理和共享利用为导向,基于边侧与端侧协作技术,从数据管理架构、数据分级协同管理方案、数据请求调度策略三个方面,探讨了嵌入式装备系统中分布式数据协作管理技术的可行性,以促进数据到信息、信息到知识、知识到决策的快速转化,同时,通过管与用的紧密结合,推动嵌入式装备系统中数据应用的开发。

联合冷却系统的分布式绿色数据中心能量管理

为响应可持续发展的号召,建设绿色数据中心并降低其电力消耗和二氧化碳排放成为亟需解决的问题。建立考虑冷却系统的数据中心模型,将描述数据中心电力成本、带宽成本、碳排放成本和冷却成本的成本函数转化为成本最小化问题,通过有效的工作负载调度和合理启停服务器数量降低数据中心运营成本。由于电力价格和碳排放率随时间变化,难以准确预测,利用李雅普诺夫优化框架的特点提出一种在线控制策略,该策略的优点是仅需知道系统的当前信息。提出一种交替方向乘子法(ADMM),使控制中心可以协调各数据中心之间的工作负载分配(数据中心之间只需交换工作负载决策),可有效降低计算复杂度并保护用户隐私。基于真实数据的仿真计算结果表明,提出的算法可有效降低数据中心的运营成本。

基于POI数据的南京主城区城市功能混合度研究

提高城市用地混合使用的程度,建设多样化、多功能的城市空间,是塑造城市活力、促进可持续健康发展的重要方式。以南京主城区为对象,首先指出香农多样性指数在测度功能混合度时存在一定局限性,其次尝试用混合程度和混合质量两个指标来评判地块功能混合度的高低,最后对主城区用地功能混合度进行识别,总结空间分布特征并分析相关影响因素。研究发现:南京主城区的功能混合度总体呈现“中心集聚、多点散布”的高混合度地块空间分布特征,局部呈现中心区片状集聚、沿主要道路线状集聚以及围绕地铁站点状集聚的特征。根据混合度特征分析,宏观层面的影响因素包括城市建设发展时序、商业中心体系规划等,而中微观层面的分布形态则与市场因素、用地布局、地铁站点等密切相关。

基于Rucio的高能物理网格数据管理的研究和应用

【目的】近年来,高能物理网格数据规模和用户需求产生重大变革,需要研究和应用新兴网格数据管理技术以应对需求变化。【方法】基于新型网格数据管理系统Rucio,利用其高伸缩性、模块化和可扩展性的软件特点,发挥其分布式数据恢复、自适应的数据复制的功能特性,为多个国内主导的国际合作实验设计了面向实验需求的网格数据管理解决方案。【结果】实现了分布式数据统一命名、数据增删改查等基础管理功能、多站点数据副本管理、原始数据分发管理、实验软件数据管理接口嵌入等多种功能,并先后进入了测试应用阶段。【结论】本研究为未来国内主导的国际合作的高能物理实验网格数据管理方案的设计和开发进行了探索和尝试,希望进一步在网格架构上开展深入研究,实现国内实验通用标准的网格数据管理方案。

全过程工程咨询的数据协同管理模式研究

为凸显全过程工程咨询模式的核心价值和优势,需要克服多参与方、多阶段、多专业数据衔接不畅问题,实现全过程、多专业之间的数据高效协同管理。本研究通过分析全过程工程咨询项目的数据分类和数据交互需求,针对典型全过程工程咨询项目数据协调方面存在问题,从“物理-事理-人理”方面提出数据协同分析框架,提出构建“一套数字基座平台、一个数据协同管理组织、一套协同管理机制”的实体集中型数据协同管理模式,旨在为业内同行的全过程工程咨询数据管理提供有益参考。

融合群体智慧的分布式智能电网高效发展管理策略

针对不同资源禀赋下分布式智能电网建设策略难以精准投资的问题,提出了一种融合群体智慧的分布式智能电网高效发展管理策略。首先,依托海量分布式智能电网发展规划数据,利用Ward凝层聚类,从运行、规划及发展3个方面构建分布式智能电网发展最优指标集;其次,结合指标类型拟合其概率分布函数,确定各指标阈值区间,实现指标的客观打分;然后,构建基于群体智慧的分布式智能电网发展精准投资评估体系,利用指标横纵差异度驱动群体智慧重新赋权,实现分布式智能电网建设策略的合理评估;最后,通过计算发展规划投入产出比形成闭环反馈,实现分布式智能电网高效发展管理。通过对某省10 000组发展规划数据的分析评估,验证了所建体系的合理性。

基于Greenplum的铁路数据共享平台设计

实现铁路既有信息系统数据共享,加快数据集成应用开发,是我国铁路信息化建设继续深入推进的必由之路。文章针对铁路企业既有数据资产来源广、数据源类型多种多样等特点,基于分布式数据仓库Greenplum,开发了适用于集中存储和管理铁路企业多源异构数据的数据共享平台。平台提供数据目录管理、数据采集、数据共享、运行监控管理与数据安全防护等功能,实现对铁路多源异构数据的自动采集、处理及规范化集中存储。平台采用高可靠、易扩展的架构设计及可视化技术,为平台管理员提供简便易用的可视化配置与运行管理工具,为铁路企业应用开发单位提供便捷高效、稳定可靠、安全合规的数据共享服务,较好地满足铁路企业数据集成应用开发的需要,也为铁路企业大数据应用构建起坚实的基座。该平台已在中国铁路兰州局集团有限公司启动试运行,创建了企业既有信息系统数据资产目录,已采集76种业务数据,为十多个信息系统提供稳定、高效的数据共享服务。

不同服务器负载方案下数据中心热管理的数值模拟

为了满足钢铁企业对数据中心热管理的要求,针对不同的服务器负载方案进行模拟研究,考虑了4类服务器功率负载方案(均匀、离散、分段和集群),共研究了11组服务器负载算例.结果表明:均匀和集中下层的负载方案散热效果较好,在集中下层的负载方案中,热通道内冷热气流掺混均匀,气流组织最佳.同时,提出了基于活动服务器温度平均的负载优化措施,改善后的集中下层负载方案表现较好,节能潜力较大.

配网抢修智慧指挥全流程管控系统设计

为了扩大配网抢修过程中的管控规模、降低风险和损失,设计了配网抢修智慧指挥全流程管控系统。在硬件部分,针对系统实际应用功能设计硬件整体结构,根据IEC 61850标准,利用电缆和三轴磁传感模块优化电子互感器的接口电路,以提升电流与电压信号的传输性能。在软件部分,基于多维数据云调控技术进行数据采集与融合,完成配网抢修智慧指挥全流程管控系统设计,以实现抢修看板可视化管控。测试结果表明,所提方法与理想方法之间的关联度指标优于其他对比方法。该设计可降低配网抢修风险。

CTC系统与SMIS调车数据交互服务平台设计与实现

为解决调度集中(CTC,Centralized Traffic Control)系统无法获取调车作业计划数据、仍使用人工排列调车进路方式的问题,在现有CTC系统与车站综合管理信息系统(SMIS,Synthesized Management Information System)应用基础上,构建调车数据交互服务平台,并对该平台的总体架构、功能应用及平台支撑下的流程设计展开研究。通过基于边缘计算的数据采集与处理、调车作业计划数据安全防护等关键技术,高效地实现了调车作业计划的数据采集、数据分发、数据集成及平台监控等功能。调车数据交互服务平台已在中国铁路武汉局集团有限公司部分车站投入使用,显著提升了作业人员的工作效率,保障了调车作业进路排列的准确性和安全性。