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1、文献原文design and realization of power gird knowledge visualizationgenny mabstract一the correct, high efficiency power gird operating condition display is guarantee of the power system operating stability.now, power gird operating condition display is not intuitive,vivid ,and efficiency is not high.the
2、paper proposes the concept of power grid knowledge visualizationdesigns power gird visualization platform.using power grid visualization technology based on pfcm(probabilistic fuzzy cognitive map),power grid operating fundamental data can be transform into power grid operating knowledge. base on vr(
3、virtual reality) technology,display the knowledge in graphics mode which can be easy to understand and analysis.keywords-knowledge visualization; power grid operating condition display; pfcm, virtual reality; soa1. introductiondata and information of power grid operating condition is complex and rea
4、l-time.how to display it and make it can be accepted effectively is research hotspot.h a picture is worth a thousand words!n this sentence reflects that the key of power grid operating condition display is visualization. by the graphic display mode, visualization shows us power grid operating data.
5、human has an advantage over computer since human have unbelievable ability of logical contrastive analysis. computer security incident faster than people throwing 10,000 times 1, human's instinct is more effective than computer when find the tendency and profound reasons from a picture. however,
6、 current power grid operating condition display system faced a commonly problem to be solved:power grid operating condition display based on two-dimensional or three-dimensional has disadvantages.for example, display data quantity is too small, lack of display usage and high-level abstractions infor
7、mation," cant see clearly, don*t understand, cant see through!n, disadvantages lead to human's perception ability low, and can't make correct decisions and warning for potential security threats, so the former methods cant satisfy the vivid and visual requirements 2.in view of the above
8、 problems, this paper proposes a power grid operating condition displaymethod based on power grid knowledge visualization platform.2. power grid knowledge visualization platform architecturepower grid knowledge visualization can be defined as the process that transform the tacit knowledge such as po
9、wer grid real-time data to explicit knowledge with the technology of knowledge extraction, knowledge reasoning and virtual reality, ect;also the process of data and information extraction and data and information innovation. platform architecture as shown in figure 1 which is based on soa (service o
10、riented architecture). link the presentation logic layer, business logic layer, the client layer, the bottom database to each other with the service bus technology, in order to deal with the visualization of the power grid the client layer achieved the connection of the knowledge visualization platf
11、orm client and serve匚it includes all the system client or equipment of the platform.these devices can be connected through the provided api services by the platform;the presentation logic layer achieved the knowledge visualization cessing it extract the power grid real-time datas as knowledg
12、e,than visualize the knowledge,achieve the element by servlet and jsp,at the same time, it encapsulates all the the presentation logic of visualization of the power grid and client of service and access system.the business logic layer provides kinds of the power grid knowledge visualization business
13、 services needed by platform clientjncluding the platform running configuration, the model supporting plug-ins, the platform console features, bottom rendering function;the bottom database provides the power grid real-time data needed by the visualization of the power grid knowledge,through the conn
14、ection of the platform service bus data api and the database of scada dms.3. the power grid knowledge extractionthe power grid knowledge visualization requires three steps. step one is to extract in the power grid knowledge mining and the knowledge unit required to establish the visualization proces
15、s; step two : the knowledge unit is to implement the knowledge inferring model by establishing knowledge graph; step three: the model output through the opengl function, can display in the form of pie charts and histograms. taken the running situation of local power grid equipment for example, the d
16、etailed realization of the power grid knowledge visualization was discussed.suppose the local power grid equipment consists of & the form in which we show the number of breaker, overcurrent protection and distance protection are x,y and z respectively.1.1 create the operating condition of power
17、grid attribute list and related identifiable matrix sfigure2:figure2.discerniblematrixmd2.1createthepowergridknowledgeoperatinguni tltfirstlymakeasingleattributejudgmetable consists of n samples, can be get order-n*n discernible matrix as shown as figure 2:figure 2. discernible matrix md2.1 create t
18、he power grid knowledge operating unitit firstly make a single attribute judgment of the discernible matrix md, and build up the disjunctive expression for all matrix element respectively; then carry out conjunction calculations for all disjunctive expression and turn it into disjunctive normal form
19、, the elements in set k join the disjunctive expression in order to conjunction one by one;finally, by judging the conjunction result and so the knowledge unit rmai was found3. the processes are described in detail within figure 3.4. the power grid knowledge reasoningcreation of the power grid opera
20、ting knowledge unit is for establish a data basis but the effect of knowledge unit is original data key information mining.knowledge unit is not be displayed in manner of visual forms that can be accepted by human.creat the cognitive map using knowledge unit4,and show the cognitive map in vr technol
21、ogy,then the whole realization and application of knowledge visualization process is completed.1.1 create the mathematical model based on pfcmusing pfcm (probabilistic fuzzy cognitive map) can effective resolve uncertainty of experts1 knowledge and uncertain reasoning or issue of the causal relation
22、ship between the concepts. uncertainty of causality is blent into fcm by pfcm.pfcm enhance fcnts abilities that simulate causality5.the mathematical model is:i?lnin the formula(l),n is quantity of all concepts, vcj(t+1) stand for state value of result concept cj at the time of t+1, vci(t) stand for
23、state value of reason concept ci at the time of t,vcm(t) stand for state value of relevant concept cm at the time of t6j. wij(t) stand for causal relation intensity between concept ci and concept cj at the time of t,r stand for impact factors that state value of this moment react on the next moment,
24、 f(x) stand for threshold function of concept cj.-12figure 3. power grid knowledge unit building process2.1 create the knowledge reasoning model based on pfcm:the knowledge reasoning model based on pfcm is:suppose a knowledge unit contains n information points,so the pfcm model should contains n nod
25、es,then establish state matrix c that is 1 ?n and establish relationship weight matrix w that is n?n:c?c 1 ,c2,c3,.,cn(2)13in the state matrix: cl,c2,c3, ,cn are state value of n information points.its state transition function is:y=c*w (4) then it gets status output of every node:yj?wijci,j?l,2,小(5
26、)yj is knowledge action union of all forward information points based on relationship weights act on state cj of information point j7.so a state output function of information point can obtain a result that is the new state of information point j. cj?fj(y)?fj(?wijci) (6)state transition of knowledge
27、 unit is reasoning,matrix calculation and state output function carry out each step of reasoning8-suppose n=6,x=3,y= 1 ,z=2,then it can get a result of knowledge reasoning modefs relationship weight matrix w based on pfcm. matrix and pfcm is shown in figure 4:i?lnni?lfigure 4. relationship weight ma
28、trix w and pfcm5. vr displayit can get result value after calculation of knowledge reasoning model.the reslut values is shown in tablell: 5 times calculation, 1 second distance every time.as shown in figure 5,platform's vr display system is based on three-dimensional coordinate, knowledge value
29、that is displaied and other data need to be classified. the classification is connected to the x and y coordinate axis.it can be observed for around 360 degrees through rotate z coordinate axis.platform build three-dimensional model and general dynamic interactive system, providing interactive windo
30、ws and tools for users.take a sf6 breaker cb1 for example: x axis includes attributes” equipment name11/1 equipment specifications11,hequipment manufacturerequipment remarks11; y axis includes attributesh operating state蔦” operating log,7, maintenance recordsn.move mouse to attributes column can che
31、ck specific attributes, y axis's noperating loghandh operating statenshow us knowledge value in graphic form.it can be choosen to see in many formsike” line charts",' pie chart","histogram”,etc.when there is a problem with cb1, platform's vr display system can show users w
32、hich part of cb1 has a problem.from the figure 5, it can be seen arc extinguish chamber that broken down is marked with red color. platformfs vr display system show us the fault reason that is gas-leakage-rate of sf6 exceeded standards.the reason that exceeded standards can be deduced by checking op
33、erating state and operating log. when the problem appears, click the "maintenance recordsn of breaker model to check its historical maintenance and edit its maintenance log.also move the mouse to x axis's and check equipment specific attributes, make maintenance plan according to the hequip
34、ment specifications", contact with equipment manufacturer for maintenance according to the nequipment manufacturer11.6. conclusionthis paper proposes a new method of power grid operating condition display - power grid knowledge visualization. this method fetches power grid information with the
35、knowledge, and transform the information into power grid operating unit. it establish reasoning model after establish the mathematical model of knowledge visualization based on pfcm,and display reasoning model with vr technology.then implement vr display of power grid knowledge visualization. the fi
36、nal display result of power grid operating condition is image, vivid and intuitionistic, it can be observed, understood, decided more effective.文献译文屯网知识的可视化设计gennym摘要正确高效率的电网工作状态是电力系统运行稳定性的保障。如今,电网知识学习 方式不直观,不生动,且效率不高。木文提出了电网知识可视化的概念,使用基 于pfcmc概率模糊认知地图)电网口j视化技术,设计了屯网知识的可视化平台。 在vr (虚拟现实)技术的基础上,以图形模式的
37、方法来展示知识,可以很容易 理解和分析。关键词:知识可视化;电网运行状态显示;pfcm,虚拟现实;soa1. 引言电网的数据和运行条件信息是复杂和实时的。如何展示使其能够冇效地被人们学 习接受是研究的热点。“一张图片胜过千言万语! ”这句话反映了电网的运行状态 显示的关键是可视化。通过图形显示模式,可视化向我们展示了电网的运行数据。 人类比起计算机來说,在逻辑对比分析中具有令人难以置信的能力和优势。计算 机安全事故的发生比人类快10000倍1,当从一个图片发现趋势或者深刻含义 时,人类的直觉往往比计算机更灵敏。然而,口前的电网的运行条件显示系统面 临的一个普遍问题需要解决:基于二维或三维的电网
38、运行条件显示方而冇他们的缺点。例如,显示的数据量太 小,缺乏显示使用和深层次的抽象信息,“看不清楚,看不明白,无法看透!” 等缺点导致人们的学习能力降低,不能为潜在的安全威胁做出正确的决策和警 告,所以前者的方法不能满足生动的视觉需求2。鉴于上述问题,提出了基于电网知识可视化平台的电网运行条件的显示方法。2. 电网知识可视化平台架构电网知识可视化可以被定义为隐性知识,如电网实时数据与知识提取技术的显性 知识转化过程,知识推理和虚拟现实等;当然也包括数据和信息提取、数据和信 息的创新的处理。基于soa (面向服务的架构)的平台架构如图1所示。链接表示逻辑层,业务 逻辑层,客户端层,底层数据库与该
39、服务总线技术的交互,以便处理电网的可视 化和客户端层获得了知识可视化平台中客户端和服务器的链接。在平台中它包括 所冇的系统的客户端或设备。这些设备可以通过提供的api服务的平台进行连接; 表示逻辑层是对取得的知识可视化的核心处理,提取出电网实时资料和可视化的知 识,通过servlet和jsp单元实现,与此同时封装了所有知识可视化服务和访问 系统中电网和客户端的业务逻辑。业务逻辑层提供各种所需的平台客户端中电网 知识可视化的服务,包括平台运行配置客户端所冇可视化的表示逻辑,并支持插 件模式,平台控制台、底部渲染功能;通过平台服务总线数据api的连接和 scada, dms的数据库,底层数据库提供
40、所需的电网知识可视化的实时数据。 图1 可视化平台架构3. 电网知识提取电网知识可视化需要三个步骤。第一步:挖掘屯网知识和建立可视化过程所需的 知识单元;第二步:通过知识单元实现建立知识图形的推理模型;第三步:通过 opengl函数模型输出,最后以饼状图和柱状图的形式显示。例如,我们选取局部电网中的运行情况,以此来详细的讨论怎样实现电网知识的 可视化。假设本地电网设备冇8个,其中,我们以x, y和z分别显示断路器, 过流保护和距离保护的数量。1.1创建电网属性列表的运转状态及相关矩阵首先选择一个示例,根据电网实时操作信息集,以断路器,过流保护和距离保护 条件屈性中的动作信息,创造条件属性列表s,条件是屈性列表中包括数n(n二 x + y+z)的实吋操作。表1中为信息样本,我们在其中列出断路器cb1, cb2cb
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