Clussoft高性能软件使用手册
Clussoft高性能软件使用手册目录1 Clussoft简介 .............................................................................................................................- 3 -1.1 打印帮助说明................................................................................................................- 3 -1.2 查看所有可用软件包....................................................................................................- 3 -1.3 查看软件组....................................................................................................................- 4 -2 软件安装...................................................................................................................................- 6 -2.1 基本配置........................................................................................................................- 6 -2.1.1 设置安装根目录.................................................................................................- 6 -2.1.2 初始化集群环境.................................................................................................- 6 -2.2 根目录结构说明............................................................................................................- 6 -2.3 编译器安装说明............................................................................................................- 7 -2.4 MPI安装说明.................................................................................................................- 7 -2.5 数学库安装说明............................................................................................................- 7 -2.6 测试工具安装说明........................................................................................................- 8 -2.7 应用软件安装说明........................................................................................................- 8 -2.8 安装软件组....................................................................................................................- 9 -2.9 查看可用软件............................................................................................................. - 10 -3 软件使用说明........................................................................................................................ - 12 -3.1 设置软件环境变量..................................................................................................... - 12 -3.1.1 手动加载.......................................................................................................... - 12 -3.1.2 Moudle管理 ..................................................................................................... - 12 -3.2 clusbench使用说明..................................................................................................... - 12 -3.2.1 查看帮助.......................................................................................................... - 12 -3.2.2 单机Linpack测试........................................................................................... - 13 -3.2.3 整机Linpack测试........................................................................................... - 14 -3.2.4 内存测试.......................................................................................................... - 14 -3.3 appbench使用说明 ..................................................................................................... - 15 -3.3.1 查看帮助.......................................................................................................... - 15 -3.3.2 运行lammps测试 ........................................................................................... - 15 -4 Clussoft开发说明 .................................................................................................................. - 18 -4.1 架构说明..................................................................................................................... - 18 -4.2 开发说明..................................................................................................................... - 18 -1Clussoft简介Clussoft可以很方便的部署HPC比较流行的软件，目前该功能已集成在Gridview-3.2.*上，为了与Gridview 中的统一，我们重新编写了Clussoft，使用方式上与yum 比较类似，相比于上一版扩展性更强。
目前，Clussoft提供的自动化软件安装主要分为编译器、数学库、MPI、测试工具和应用软件等五大分类，为了简化安装又从上述几大类软件选取了部分软件分成Applications, base和benchmark三类软件组。
下面就最新版clussoft的使用作详细说明。
1.1打印帮助说明./clussoft --help # 查看基本帮助信息1.2查看所有可用软件包./clussoft -a结果如下图所示：第一列为软件名称和版本，第二列为软件分组，第三列为安装类型（share为共享安装，安装在共享目录下，如/public; distributed 为分布式安装，每个节点安装一份，放在本地磁盘）。
1.3查看软件组Clussoft提供类似yum组安装方式，可一键完成某个组中所有软件的安装，例如，./clussoft -L目前，clussoft分为Applications、base和benchmark三个分组，Applications包含常用应用软件，例如分子动力学、量子化学、开发工具和气象海洋等软件；base包含常用编译器、MPI和数学库等，benchmark包含集群性能测试工具包，如Linpack测试和应用测试。
UV-Solution中文说明书1
1.软件功能及窗口介绍1.1. 软件功能本软件包含以下功能：●波长扫描功能●时间扫描功能●定波长测量波长扫描功能1.根据设定以指定波长间隔进行打印。
也可以指定波长进行打印（最高达12点）。
.2.扫描的方式有：透过率（％T）；吸光度（Abs）；样品光束能量（E（S））；参比光束能量（E（R））（仅当连接U-2800和U-2810）3.提供扫描开始和结束的快捷键。
扫描开始：F4；扫描结束：F64.可以设置重复测量的间隔时间。
并可进行长达99次的重复测量。
时间扫描功能1.比率计算功能。
（动力学测定）2.根据设定以指定时间间隔进行打印。
也可以指定时间进行打印（最高达12点）。
定波长测量功能1.包含如下测量及计算功能：定波长分析；面积分析；峰高及峰面积分析；最多达20点的标准样品，一、二、三阶及折线方式回归；2.标准曲线重新测量功能；光标读取标准曲线功能。
3.标准曲线打印功能及保存功能。
4.标准曲线及样品测量数据同时显示，随时观察每个样品的测量结果。
5.显示标准曲线的相关系数值，可以很方便地判定所回归的标准曲线的质量。
并且提供双波长及三波长的回归功能。
6.统计计算功能。
可以进行样品的多次平均测定，可以进行标准样品偏离值（SD）的测定。
7.可以设定极限值，并自动标定出大于极限值的点。
8.定波长测量中可以显示光谱值。
用定波长测量的计算功能可以显示波长扫描中的峰高，峰面积及差值。
数据处理功能测量后经保存的数据可以进行各种数据处理。
1.图谱数据光标检索功能。
2.峰谷值自动判定功能。
3.图谱缩放功能。
4.数据平滑（数据滤波）功能。
5.数据微分处理功能。
6.图谱与图谱，图谱与常数的运算功能。
7.面积计算功能。
8.文件导出功能。
数据可转换成TXT（文本文件）,图型可转换成Windows的位图文件。
9.显示字体及打印字体的设置功能。
10.数据列表功能。
11.设定参数打印功能。
12.数据分类打印功能。
如：峰值列表等。
13.坐标栅格打印功能。
ClusVis 1.2.0 用户手册说明书
Package‘ClusVis’October12,2022Type PackageTitle Gaussian-Based Visualization of Gaussian and Non-GaussianModel-Based ClusteringVersion1.2.0Author Christophe Biernacki[aut],Matthieu Marbac[aut,cre],Vincent Vandewalle[aut]Maintainer Matthieu Marbac<*************************>Description Gaussian-Based Visualization of Gaussian and Non-Gaussian Model-Based Cluster-ing done on any type of data.Visualization is based on the probabilities of classification. License GPL(>=2)Imports Rcpp,MASS,parallel,mgcv,mvtnorm,Rmixmod,VarSelLCM(>=2.1)LinkingTo Rcpp,RcppArmadillo,mvtnormByteCompile trueEncoding UTF-8LazyLoad yesLazyData trueCollate'clusvis.R''estimation.R''smartinit.R''RcppExports.R''plot.R''clusvismixmod.R''clusvisvarsellcm.R''modessearch.R'Depends R(>=3.4)RoxygenNote6.1.1NeedsCompilation yesRepository CRANDate/Publication2019-06-2408:30:15UTCR topics documented:ClusVis-package (2)clusvis (4)1clusvisMixmod (6)clusvisVarSelLCM (8)congress (9)plotDensityClusVisu (10)Index12 ClusVis-package Gaussian-Based Visualization of Gaussian and Non-Gaussian Model-Based Clustering.DescriptionThe main function for parameter inference is clusvis.Moreover,specific functions clusvisVarSelLCM and clusvisMixmod are implemented to visualize the results of the R package VarSelLCM and Rmixmod.After parameter inference,visualization is done with function plotDensityClusVisu. DetailsPackage:ClusVisType:PackageVersion: 1.1.0Date:2018-04-18License:GPL-3LazyLoad:yesAuthor(s)Biernacki,C.and Marbac,M.and Vandewalle,V.Examples##Not run:##First example:R package Rmixmod#Package loadingrequire(Rmixmod)#Data loading(categorical data)data("congress")#Model-based clustering with4componentsset.seed(123)res<-mixmodCluster(congress[,-1],4,strategy=mixmodStrategy(nbTryInInit=500,nbTry=25))#Inference of the parameters used for results visualization#(specific for Rmixmod results)#It is better because probabilities of classification are generated#by using the model parametersresvisu<-clusvisMixmod(res)#Component interpretation graphplotDensityClusVisu(resvisu)#Scatter-plot of the observation membershipsplotDensityClusVisu(resvisu,add.obs=TRUE)##Second example:R package Rmixmod#Package loadingrequire(Rmixmod)#Data loading(categorical data)data(birds)#Model-based clustering with3componentsresmixmod<-mixmodCluster(birds,3)#Inference of the parameters used for results visualization(general approach) #Probabilities of classification are not sampled from the model parameter,#but observed probabilities of classification are used for parameter estimation resvisu<-clusvis(log(resmixmod@bestResult@proba),resmixmod@bestResult@parameters@proportions)#Inference of the parameters used for results visualization#(specific for Rmixmod results)#It is better because probabilities of classification are generated#by using the model parametersresvisu<-clusvisMixmod(resmixmod)#Component interpretation graphplotDensityClusVisu(resvisu)#Scatter-plot of the observation membershipsplotDensityClusVisu(resvisu,add.obs=TRUE)##Third example:R package VarSelLCM#Package loadingrequire(VarSelLCM)#Data loading(categorical data)data("heart")#Model-based clustering with3componentsres<-VarSelCluster(heart[,-13],3)#Inference of the parameters used for results visualization#(specific for VarSelLCM results)#It is better because probabilities of classification are generated#by using the model parametersresvisu<-clusvisVarSelLCM(res)#Component interpretation graphplotDensityClusVisu(resvisu)#Scatter-plot of the observation membershipsplotDensityClusVisu(resvisu,add.obs=TRUE)##End(Not run)clusvis This function estimates the parameters used for visualizationDescriptionThis function estimates the parameters used for visualizationUsageclusvis(logtik.estim,prop=rep(1/ncol(logtik.estim),ncol(logtik.estim)),logtik.obs=NULL,maxit=10^3,nbrandomInit=12,nbcpu=1)Argumentslogtik.estim matrix.It contains the probabilities of classification used for parameter infer-ence(should be sampled from the model parameter or computed from the ob-servations).prop vector.It contains the class proportions(by default,classes have same propor-tion).logtik.obs matrix.It contains the probabilities of classification of the clustered sample.If missing,logtik.estim is used.maxit numeric.It limits the number of iterations for the Quasi-Newton algorithm(de-fault1000).nbrandomInit numeric.It defines the number of random initialization of the Quasi-Newton algorithm.nbcpu numeric.It specifies the number of CPU(only for linux)ValueReturns a listExamples##Not run:##First example:R package Rmixmod#Package loadingrequire(Rmixmod)#Data loading(categorical data)data("congress")#Model-based clustering with4componentsset.seed(123)res<-mixmodCluster(congress[,-1],4,strategy=mixmodStrategy(nbTryInInit=500,nbTry=25)) #Inference of the parameters used for results visualization#(specific for Rmixmod results)#It is better because probabilities of classification are generated#by using the model parametersresvisu<-clusvisMixmod(res)#Component interpretation graphplotDensityClusVisu(resvisu)#Scatter-plot of the observation membershipsplotDensityClusVisu(resvisu,add.obs=TRUE)##Second example:R package Rmixmod#Package loadingrequire(Rmixmod)#Data loading(categorical data)data(birds)#Model-based clustering with3componentsresmixmod<-mixmodCluster(birds,3)#Inference of the parameters used for results visualization(general approach)#Probabilities of classification are not sampled from the model parameter,#but observed probabilities of classification are used for parameter estimationresvisu<-clusvis(log(resmixmod@bestResult@proba),resmixmod@bestResult@parameters@proportions)#Inference of the parameters used for results visualization#(specific for Rmixmod results)#It is better because probabilities of classification are generated#by using the model parametersresvisu<-clusvisMixmod(resmixmod)#Component interpretation graphplotDensityClusVisu(resvisu)#Scatter-plot of the observation membershipsplotDensityClusVisu(resvisu,add.obs=TRUE)##Third example:R package VarSelLCM#Package loadingrequire(VarSelLCM)#Data loading(categorical data)data("heart")#Model-based clustering with3componentsres<-VarSelCluster(heart[,-13],3)#Inference of the parameters used for results visualization#(specific for VarSelLCM results)#It is better because probabilities of classification are generated#by using the model parametersresvisu<-clusvisVarSelLCM(res)#Component interpretation graphplotDensityClusVisu(resvisu)#Scatter-plot of the observation membershipsplotDensityClusVisu(resvisu,add.obs=TRUE)##End(Not run)clusvisMixmod This function estimates the parameters used for visualization of model-based clustering performs with R package Rmixmod.To achieve theparameter infernece,it automatically samples probabilities of classi-fication from the model parametersDescriptionThis function estimates the parameters used for visualization of model-based clustering performs with R package Rmixmod.To achieve the parameter infernece,it automatically samples probabili-ties of classification from the model parametersUsageclusvisMixmod(mixmodResult,sample.size=5000,maxit=10^3,nbrandomInit=4*mixmodResult@bestResult@nbCluster,nbcpu=1,loccont=NULL)ArgumentsmixmodResult[MixmodCluster]It is an instance of class MixmodCluster returned by function mixmodCluster of R package Rmixmod.sample.size numeric.Number of probabilities of classification sampled for parameter infer-ence.maxit numeric.It limits the number of iterations for the Quasi-Newton algorithm(de-fault1000).nbrandomInit numeric.It defines the number of random initialization of the Quasi-Newtonalgorithm.nbcpu numeric.It specifies the number of CPU(only for linux).loccont numeric.Index of the column containing continuous variables(only for mixed-type data).ValueReturns a listExamples##Not run:##First example:R package Rmixmod#Package loadingrequire(Rmixmod)#Data loading(categorical data)data("congress")#Model-based clustering with4componentsset.seed(123)res<-mixmodCluster(congress[,-1],4,strategy=mixmodStrategy(nbTryInInit=500,nbTry=25)) #Inference of the parameters used for results visualization#(specific for Rmixmod results)#It is better because probabilities of classification are generated#by using the model parametersresvisu<-clusvisMixmod(res)#Component interpretation graphplotDensityClusVisu(resvisu)#Scatter-plot of the observation membershipsplotDensityClusVisu(resvisu,add.obs=TRUE)##Second example:R package Rmixmod#Package loadingrequire(Rmixmod)#Data loading(categorical data)data(birds)#Model-based clustering with3componentsresmixmod<-mixmodCluster(birds,3)#Inference of the parameters used for results visualization(general approach)#Probabilities of classification are not sampled from the model parameter,8clusvisVarSelLCM #but observed probabilities of classification are used for parameter estimationresvisu<-clusvis(log(resmixmod@bestResult@proba),resmixmod@bestResult@parameters@proportions)#Inference of the parameters used for results visualization#(specific for Rmixmod results)#It is better because probabilities of classification are generated#by using the model parametersresvisu<-clusvisMixmod(resmixmod)#Component interpretation graphplotDensityClusVisu(resvisu)#Scatter-plot of the observation membershipsplotDensityClusVisu(resvisu,add.obs=TRUE)##End(Not run)clusvisVarSelLCM This function estimates the parameters used for visualization of model-based clustering performs with R package Rmixmod.To achieve theparameter infernece,it automatically samples probabilities of classi-fication from the model parametersDescriptionThis function estimates the parameters used for visualization of model-based clustering performs with R package Rmixmod.To achieve the parameter infernece,it automatically samples probabili-ties of classification from the model parametersUsageclusvisVarSelLCM(varselResult,sample.size=5000,maxit=10^3,nbrandomInit=4*varselResult@model@g,nbcpu=1,loccont=NULL) ArgumentsvarselResult[VSLCMresults]It is an instance of class VSLCMresults returned by function VarSelCluster of R package VarSelLCM.sample.size numeric.Number of probabilities of classification sampled for parameter infer-ence.maxit numeric.It limits the number of iterations for the Quasi-Newton algorithm(de-fault1000).nbrandomInit numeric.It defines the number of random initialization of the Quasi-Newton algorithm.nbcpu numeric.It specifies the number of CPU(only for linux).loccont numeric.Index of the column containing continuous variables(only for mixed-type data).congress9ValueReturns a listExamples##Not run:#Package loadingrequire(VarSelLCM)#Data loading(categorical data)data("heart")#Model-based clustering with3componentsres<-VarSelCluster(heart[,-13],3)#Inference of the parameters used for results visualization#(specific for VarSelLCM results)#It is better because probabilities of classification are generated#by using the model parametersresvisu<-clusvisVarSelLCM(res)#Component interpretation graphplotDensityClusVisu(resvisu)#Scatter-plot of the observation membershipsplotDensityClusVisu(resvisu,add.obs=TRUE)##End(Not run)congress Real categorical data set:Congressional Voting Records Data SetDescriptionThis data set includes votes for each of the U.S.House of Representatives Congressmen on the16 key votes identified by the CQA.The CQA lists nine different types of votes:voted for,paired for,and announced for(these three simplified to yea),voted against,paired against,and announced against(these three simplified to nay),voted present,voted present to avoid conflict of interest,and did not vote or otherwise make a position known(these three simplified to an unknown disposition). ReferencesCongressional Quarterly Almanac,98th Congress,2nd session1984,V olume XL:Congressional Quarterly Inc.Washington,D.C.,1985.Schlimmer,J.C.(1987).Concept acquisition through representational adjustment.Doctoral disser-tation,Department of Information and Computer Science,University of California,Irvine,CA.Website:https:///ml/datasets/congressional+voting+records10plotDensityClusVisuExamplesdata(congress)plotDensityClusVisu Function for visualizing the clustering resultsDescriptionFunction for visualizing the clustering resultsUsageplotDensityClusVisu(res,dim=c(1,2),threshold=0.95,add.obs=FALSE,positionlegend="topright",xlim=NULL,ylim=NULL,colset=c("darkorange1","dodgerblue2","black","chartreuse2","darkorchid2","gold2","deeppink2","deepskyblue1","firebrick2","cyan1","red","yellow"))Argumentsres object return by function clusvis or clusvisdim numeric.This vector of size two choose the axes to represent.threshold numeric.It contains the thersholds used for computing the level curves.add.obs boolean.If TRUE,coordinnates of the observations are plotted.positionlegend character.It specifies the legend location.xlim numeric.It specifies the range of x-axis.ylim numeric.It specifies the range of y-axis.colset character.It specifies the colors of the observations per class.Examples##Not run:#Package loadingrequire(Rmixmod)#Data loading(categorical data)data("congress")#Model-based clustering with4componentsset.seed(123)res<-mixmodCluster(congress[,-1],4,strategy=mixmodStrategy(nbTryInInit=500,nbTry=25))#Inference of the parameters used for results visualization#(specific for Rmixmod results)#It is better because probabilities of classification are generated#by using the model parametersresvisu<-clusvisMixmod(res)plotDensityClusVisu11 #Component interpretation graphplotDensityClusVisu(resvisu)#Scatter-plot of the observation membershipsplotDensityClusVisu(resvisu,add.obs=TRUE)##End(Not run)Index∗datasetscongress,9∗packageClusVis-package,2ClusVis(ClusVis-package),2clusvis,2,4,10ClusVis-package,2clusvisMixmod,2,6clusvisVarSelLCM,2,8congress,9MixmodCluster,6plotDensityClusVisu,2,10VSLCMresults,812。
CS3000 系统应用软件操作说明书
CS3000 系统应用软件操作说明书总目录一、前言-------------------------------------------------------------------------- -3-二、流程图画面总目录 ---------------------------------------------------------- -4-三、软件操作说明 --------------------------------------------------------------- -14-1、画面操作 ----------------------------------------------------------------- -14-1-1 总貌画面 ---------------------------------------------------------- -14-1-2 流程图画面 ------------------------------------------------------- -14-1-3 控制分组画面 ---------------------------------------------------- -15-2、仪表操作 ----------------------------------------------------------------- -16-2-1 开关仪表面板 ---------------------------------------------------- -16-2-2 调节仪表面板 ---------------------------------------------------- -173、报表操作 ----------------------------------------------------------------- -17-四、系统操作说明 --------------------------------------------------------------- -18-1、人机接口 ---------------------------------------------------------------- -18-1-1 人机接口功能 ----------------------------------------------------- -18-1-2 窗口类型 ----------------------------------------------------------- -181-3 窗口操作 ----------------------------------------------------------- -19-1-4 典型的操作监视窗口 -------------------------------------------- -192、系统基本维护 ---------------------------------------------------------- -30-2-1 系统维护窗口 ------------------------------------------------------ -30-2-2 过程报告书 --------------------------------------------------------- -332-3 历史报告书 --------------------------------------------------------- -33-3、操作员键盘---------------------------------------------------------------- -34-五、后记------------------------------------------------------------------------------ -35-前言神马特品工业丝计算机分散控制系统采用横河西仪有限公司提供的CENTUM-CS3000 控制系统。
IRSoft PC-Software 指导手册说明书
说明
使用
IRSoft 软件用于分析、处理和存放 testo 880 热成像仪 （下称“ 仪器” ）所记录的图像。它还集成了清晰的数据表达报告 功能。 可通过仪器控制器对连接好的热成像仪进行设置。
系统要求
操作系统 软件可以在以下操作系统中运行： • Windows® XP ServicePack 2 (SP2) • Windows Vista 有限功能范围： • Windows® 2000 SP4（无仪器控制器） • Windows® XP，无 SP2 计算机 要使软件顺畅工作，应满足以下要求： • 1.2 GHz 以上的 Pentium 处理器或同等性能的处理器 • 256 MB RAM • 100 MB 硬盘剩余空间 • CD-ROM 驱动器 • USB 2.0 接口 • Internet Explorer 5.5 Service Pack 1 或更高版本
6.7.1. 用户界面 .................................................................................................33 6.7.2. 功能和命令..............................................................................................34 6.7.3. 编辑报告模板 ..........................................................................................34
3 说明 ...................................................................................................6 3.1. 使用 ........................................................................................ 6 3.2. 系统要求 .................................................................................... 6
岛津LCsolution软件快速参考说明书
8.1 查看和使用 [ 数据管理器 ]................................................................................. 32 8.2 查看数据 ........................................................................................................... 34 8.3 使用 CLASS-Agent 查看数据 ........................................................................... 36
岛津 LCsolution
色谱数据系统 快速参考说明书
使用产品前请仔细阅读本说明书。 请妥善保管本说明书以备今后参考。
岛津企业管理（中国）有限公司 分析仪器事业部 分析中心
1
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目录
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3 4 5
6 7 8
索引
在阅读此文档前....................................................................................................1
对羟基苯甲酸酯混合物
1.2
LCsolution 的数据结构
本节简要描述了 LCsolution 的数据结构。 各种 LCsolution 数据参数保存在数据文件中，例如在数据采集和数据分析 （元数据）中的仪器和分析条 件。由于可以从数据文件本身参照分析条件和参数，这样就确保了数据的可跟踪性。此外，仅使用数据文 件即可重新分析数据。
VISUAL SLOPE软件操作说明书
微软极品Sysinternals Suite工具包使用指南
注册表项和Windows 服务等资源具有哪种访问权限。
AccessChk 能够通过直观的界面和输出快速回答这些问题。
AccessEnum这一简单但强大的安全工具可以向您显示，谁可以用何种访问权限访问您系统中的目录、文件和注册表项。
使用此工具可查找权限漏洞。
AdExplorerActive Directory Explorer 是一个高级的Active Directory (AD) 查看器和编辑器。
AdInsight一种LDAP（轻型目录访问协议）实时监视工具，旨在对Active Directory 客户端应用程序进行故障排除。
AdRestore恢复已删除的Server 2003 Active Directory 对象。
Autologon登录过程中跳过密码屏幕。
Autoruns查看哪些程序被配置为在系统启动和您登录时自动启动。
Autoruns 还能够完整列出应用程序可以配置自动启动设置的注册表和文件位置。
BgInfo此完全可配置程序会自动生成桌面背景，其中包含有关系统的IP 地址、计算机名称、网络适配器及更多内容的重要信息。
BlueScreen此屏幕保护程序不仅精确模拟“蓝屏”，而且也模拟重新启动（完成CHKDSK），并可在Windows NT 4、Windows 2000、Windows XP、Server 2003 和Windows 9x 上工作。
CacheSetCacheSet 是一个允许您利用NT 提供的功能来控制缓存管理器的工作集大小的程序。
它与NT 的所有版本都兼容。
ClockRes查看系统时钟的分辨率，亦即计时器最大分辨率。
Contig您是否希望迅速对您频繁使用的文件进行碎片整理？使用Contig 优化单个的文件，或者创建连续的新文件。
CoreinfoCoreinfo 是一个新的命令行实用工具，可向您显示逻辑处理器与物理处理器之间的映射、NUMA 节点和它们所处的插槽，以及分配给每个逻辑处理器的缓存。
LXM26 调试软件Somove使用说明
LXM26 调试软件Somove使用说明安装LXM26调试软件调试软件如果没有安装Somove，需要先安装Somove下载地址：/download/WW/EN/results/3541958-SoftwareFirmware/155 5898-Software--Released/?showAsIframe=true安装好Somove 后需要安装Lexium26 的DTM下载地址：软件注册如果尚未注册软件系统会自动提示注册，注册是免费的。
连接电脑Lexium26通过CN3口（modbus485）和电脑进行通讯，施耐德标准通讯线缆型号是TCSMCNAM3M002P，此电缆连接电脑一端为USB口在第一次进行调试时，需要查明电脑分配给此调试电缆的COM口，打开硬件管理器就可以看到，此处为COM4确认COM口后，需要在Somove里面设定对应的COM口，单击编辑链接选择modbus串行，并单击最右边编辑图标选择对应的COM端口，单击应用并确定然后电脑和伺服驱动器的通讯就可以开始了，单击连接选择Lexium26 ，并单击连接参数上载后后可以进行Somove在线调试我的设备用途：我的设备页面用于显示伺服驱动器和电机的基本信息，包括➢驱动器型号➢驱动器序列号➢驱动器固件版本➢电机型号➢驱动器额定/峰值电流➢电机额定/峰值转速➢电机额定/峰值扭矩…参数列表用于：参数列表页面用于设置驱动器P参数，可以按照P参数组开设置，也可以按照操作模式来设置。
相关参数说明可以在Lexium26手册第九章查询错误内存用途：错误内存界面用来查看伺服的故障历史，可以显示当前故障，已经5次历史故障，并且指明故障原因和处理方式。
可视化用途:可视化界面用于显示以下信号的状态或者数值➢数字输出/输出➢模拟量输入/输出➢指定参数的数值指定参数显示需要1.选定要显示的参数2.在右侧区域用鼠标选择显示区域示波器用途：可同时捕捉驱动器内部的最多4个变量，例如电流、电压、位置误差、实际速度等，并绘制成以时间为横坐标的曲线图，以此观察驱动器及电机的运行性能是否符合要求，并相应的做出控制环参数调整。
Cutler-Hammer SVDrive2 软件说明书
What is SVDrive2?SVDrive2 is a Windows-based software tool for SV9000 adjustable frequency drives. With SVDrive2 you can upload parameters from the drive, modify their values, save to a file, download back to the drive, print on paper or to a file, set references, start and stop the motor, examine signals in graphical format (trend page) and monitor actual parameter values.You can use SVDrive2 either off-line or on-line. In the off-line mode, the changes you make are stored only on your computer and do not affect the drive. In the on-line mode you are directly accessing the drive parameters and all changes you make will be stored in the drive.What do you need?A PC, preferably at least a Pentium 166 with > 8 M memory and running Windows 3.1, Windows95 or Windows NT.A RS232 cable to connect the drive and the PC.WARNING!!. Use only Cutler-Hammer supplied cables (catalog number SVDRIVECABLE). Any other cable may cause damage to your PC or to the drive.Files used with SVDrive2There are several file types, each with a different purpose, associated with the SV9000 drive. ApplicationsThese software modules are part of the system software. They define the various SVReady applications built into the drive. As a part of the system software they cannot be modified in the field. Each application has an .AP2 file associated with it, defining the application type and the names of the parameters that are part of it.For a description of the various applications available, see the SV9000 User’s Manual and the SVReady ManualParameter listsThese are PC files containing the parameter values used in an application. They have the extension .PAR, and are only used by the SVDrive software. A modified application would automatically be saved with this extension.Online and offline modesThe program has two modes of operation: online and offline. In online mode you are connected directly to the drive and access all parameters directly. In offline you are not connected to the drive. Changes to parameters can be saved for download to the drive at a later time.Working offlineWorking offline, you can change application parameters and save them to a file for later downloading to a drive. On opening SVDrive2 you will see a taskbar which looks like the one below. The taskbar has pull-down menus and buttons for rapid access to the various windows and functions available.To load a new application from the hard disk, go to (File|New), click on the application of your choice and SVDrive will open the Parameter page with the new application loaded. You can change the parameters you wish and store them in a file. Using the Open File button you can open either a new application (with default values) or an existing parameter set.Note that when offline, any new application that you load, default parameter values are displayed for power, voltage and enclosure type. Be sure to change these to whatever the correct values are for your particular drive. The default values used for the motor and the utility line, in parameter group 1, are based on these values. The pull-down menus will show only the choices appropriate to the values in the other windows, i.e. if you choose C in the enclosure window, the power window will show ratings up to 30 Hp and the voltage window will show the available voltages.Note that if you choose a 400 V drive, the ratings will be in kW not Hp.On the Parameter page you can change the parameters for the application you are working on. First choose the correct parameter group, then the parameter you want to change within the group. The present value is shown by the parameter name. The value can be changed in the box to the right. Numerical values can be changed by typing the correct value or by using the up and down arrows. Other values can be changed using the pull-down menu for the parameter and choosing the desired one. The program will ask you to confirm any changes outside the allowed limits. The language used for the parameters is changed in the Language box.The Parameter window is the only window that will work off-line. All other windows require connection to a drive.The remaining buttons offer shortcuts to their respective functions. The Upload and Download buttons require connection to a drive. These functions can also be reached from either the File or Drive pull-down menus.To load a set of stored parameters click on the Open File button or go to (File|Open) and open the required parameter file. The corresponding application will be automatically loaded.To restore the default values, go to (File|Default). The parameters for the application displayed will be restored to their default values.Online modeOn the Parameter page (see above) you can toggle between on-line and off-line modes.The program is automatically in online mode if:1. You upload parameters from the drive2. You download parameters to the drive.3. You load a new application from the driveWhen you are in on-line mode, the changes you make to parameters are immediately stored in the drive.On the Parameter page you can change the parameters in the application you are working on. First choose the correct parameter group, then the parameter you want to change within the group. The present value is shown by the parameter name. The value can be changed in the box to the right. Numerical values can be changed by typing the correct value or by using the up and down arrows, other values can be changed using the pull-down menu for the parameter and choosing the desired setting. The program will ask you to confirm any changes outside the allowed limits. The language used for the parameters is changed in the Language box.Changing the active application in the driveIn the Online Mode you can check which application is active in the drive and you can change the active application.1. Select the Drive|Application menu.2. The active application is highlighted in the Application list.3. You can change the active application by double-clicking the application name or by clicking the name and pressing the OK button. If you don't want to change the active application, press Cancel.The language button defines the language of the parameter descriptions.Changing the active application on your PCYou can change the active application on your PC by choosing:- File|New. A list of all available application files is shown. (Note that you may have to browse for the files, which have the extension .AP2)1. Choose the application file from the Application list.2. Double-click the application you wish to load or select application and press OK. A new application with default parameter values is loaded. Note that the program switches to off-line mode.Note: You have to choose the correct .AP2 file to be able to later download to the drive. The correct .AP2 file depends on the system software version as follows:System software sm90_xx(standard software for SVGraphic panel only)System software sm95_xx(standard software for SVGraphic panel and SVMulti-line panel)smfa052.ap2 = Basicsmfa053.ap2 = Standard smfa054.ap2 = Local/Remote smfa055.ap2 = PI-Control smfa056.ap2 = Multi-Purpose smfa057.ap2 = Multi-Step smfa045.ap2 = PFC Control smfa067.ap2 = Basicsmfa068.ap2 = Standard smfa069.ap2 = Local/Remote smfa070.ap2 = PI-Control smfa071.ap2 = Multi-Purpose smfa072.ap2 = Multi-Step smfa045.ap2 = PFC ControlThe available application files.or- File|Open. A previously saved parameter file (extension .par) is loaded and the application is changed to the application corresponding to that parameter set.orDrive|Upload. Parameters are loaded from the drive and the application is changed to the active application in the drive.Changing the communications port1. Select the Drive|Ports menu.2. Select new communications port.The port chosen is stored in SVDrive’s .INI-file, so you don't have to change the port every time you start the program. If you have other devices connected to this port, disconnect them. Changing the language in the driveYou can change the language of the parameter display in the application by clickingDrive|Application and selecting the language from the dropdown list on the parameter page. The parameter names will be displayed in the language you chose.If you operate in Offline mode, you can change the language of the parameters by selecting the language from the dropdown list on the parameter page.Note that you can still change the language shown by your PC by choosing the language from the Language dropdown list on the parameter page even if you are in Online mode, but this won’t change the language in the drive. Every time you upload the parameters from the drive, the language will change to the language in the drive.Changing the measurement intervalThe measurement interval is used to tell the drive how often it should send new data to the PC. If your PC seems to be very slow when you are using SVDrive2, try to select a longer measurement interval.1. Choose Drive|Ports.2. Select the new measurement interval.Changing the language of SVDrive2You can change the language that is used in SVDrive2’s menus and buttons etc. by choosing File|Preferences and choosing the language from the dropdown list.Downloading new parameter sets1. If the motor is running, stop it.2. Press the download button or choose Drive|Download.When you download, all the parameters in the active application on your PC are written to the drive. The program will ask you to confirm the download.WindowActual values Takes you to the actual values page.With the Actual Values page you can monitor five signal values at a time. These can be freely chosen from a pull down menu that opens as you click the boxes.If the connection to the drive is lost for some reason, you can reconnect by choosing a signal from one of the boxes.The Actual Value pageFault Takes you to the fault page.The Fault page is automatically shown in on-line mode when a fault or an alarm occurs. The Active fault and the fault history are shown on the same page.The fault remains active until you clear it with the Reset Active button.You can clear the fault history by clicking the Reset History button.Note that the Fault page is shown automatically only if you are in Online mode, or you have opened the operating page, the trend page or the actual values page.The Fault pageOperating Takes you to the operating page.The Operating page allows you to start and stop the motor, change the references, and use the programmable push-buttons, if the panel is the active control device. You can also define the active control device on this pageIf the connection to the drive is lost, you can reconnect by pressing the button between the pictures of the PC and drive.You can control the drive in two modes: Panel mode and RS232 mode.The operating page in Panel modeThe Panel mode acts like a graphical interface to the drive. You can change the reference by clicking on the + and – buttons to increase or decrease the speed, when this is the control device. (Panel Control radio button enabled )In the RS232 mode, the speed of the drive is set by entering a number for the set speed value. Trend Takes you to the trend page.With the trend page you can display three measured signals from the drive. However, only one signal is shown at a time. You can change between these three signals by choosing a signal from the Channel: box. Click on the Signal name: box to choose a signal. You can start and stop the trend by clicking the start/stop symbols:You can also change the minimum and maximum of the value axis and the length of the time axis.Signal value and time on the position of the marker are shown in the trend box. Click arrow buttons or directly on the trend box to see the value and time at that position.If the connection to the drive is lost for some reason, you can reconnect by choosing a signal in the Signal name: windowNote!You can not Save or Open parameter files when the Trend page is opened.The Info pageChoose Drive|Info to get information about the drive software.On the info page you will see:You can also change the file in the option card by choosing new file from the dropdown list and then pressing the Change button.MenusFileNew...Loads a new application with default values from file.Default Loads the default values of the active application from file.Open...Loads a saved parameter file.Save Saves parameters to file.Save As...Asks the file name and saves parameters to file.Print To...Print parameters to file or to a printer.Print Preview Provides preview of parameters before printing and allows comments to made on the printoutPreferences Use this dialog to configure SVDrive2's default language setting for the pull down menus and selection boxes.Exit Exits the program.DriveApplication:Provides for changing the application in the drive.Upload:Uploads the parameters from the drive to your computer.Download:Downloads the parameters from your computer to the drive.Info:Displays the software used in the drive.Power:Provides for changing the rating to match your drive’s rating.Model:Provides for changing the model to match your drive’s model.Voltage:Provides for changing the voltage to match your drives voltage.Ports:Allows you to change the communications port or the Measurement Interval. Printing parametersTo print the drive’s parameters on paper:1. Upload the parameters to your PC.2. Press the print button.orSelect File|Print to... and choose the Printer button and then OK.orSelect Print Preview... and then OK.You can also print the parameters to a file by choosing File in the File|Print to... window.The command prints the parameter set from the application active on your computer, so if you are working off-line, the printed and saved parameter set will not necessarily be the same as the parameters active in the drive.Making comments on your printoutUsing the Print preview, you can make comments on the printout using the Comment button. There is room for 60 characters.。