ansys出现 Upstream data is required in order to perform this operation.
创作声明:本文部分内容由AI辅助生成(AIGC),仅供参考
Python内容推荐
基于 XGBoost 的光伏阵列多类型复合故障诊断研究(Python代码实现)
内容概要:本文围绕基于XGBoost的光伏阵列多类型复合故障诊断方法展开研究,提出了一种结合机器学习与电气特征分析的智能故障诊断框架。研究系统梳理了光伏阵列常见的多种故障类型(如短路、断路、阴影遮挡、组件老化等),通过构建高质量故障数据集并进行精细化特征工程,提取电流、电压、功率及其变化率等关键电气参数作为模型输入特征。采用XGBoost这一高性能集成学习算法构建多分类诊断模型,充分利用其在处理非线性关系、高维特征及防止过拟合方面的优势,实现对复合故障的精准识别。文中详述了从数据预处理、特征选择、模型训练到性能验证的全流程,并通过Python代码完成算法实现与仿真实验,结果表明该方法在复杂工况下具备优异的诊断准确率、鲁棒性与泛化能力,显著提升了光伏发电系统运维的自动化与智能化水平; 适合人群:具备一定Python编程能力和机器学习理论基础,从事新能源发电、电力系统监控、智能运维或相关领域研究的科研人员、工程技术人员及高校研究生; 使用场景及目标:①应用于光伏电站实时在线监测系统,实现故障早期预警与快速定位;②作为智能诊断模块集成于运维平台,降低人工巡检成本与停机损失;③为科研工作者复现高水平(SCI级)故障诊断模型提供完整的算法思路与可运行代码参考;④推动XGBoost等先进机器学习算法在工业实际场景中的转化与落地应用; 阅读建议:此资源融合了理论分析与代码实践,建议读者在学习过程中同步运行所提供的Python代码,深入理解数据清洗、特征构造与模型调优的关键步骤,掌握交叉验证、混淆矩阵等评估方法,并可进一步拓展至与其他集成学习模型(如LightGBM、CatBoost)的对比实验,以全面把握不同算法在故障诊断任务中的性能差异与适用边界。
Learning Angular, 2nd Edition-Packt Publishing(2017).epub
Chapter 1, Creating our First Component in Angular, covers Semantic versioning. This is an important concept to grasp, so you know whether to adopt new releases based on your needs. This chapter also introduces the reader to the Angular CLI and the reader will be taking their first steps into writing an Angular application. Chapter 2, IDEs and Plugins, introduces you to the most popular IDEs. The most common Angular plugins and snippets are also described to further boost developer productivity. Chapter 3, Introducing TypeScript, introduces TypeScript, which is the chosen language for coding Angular apps. There is more to TypeScript than just adding types. Your code can be made elegant and more secure, and using the right features will save you from typing quite a lot. Chapter 4, Implementing Properties and Events in our Components, covers how to send data to components and how to bind methods to them so that the components have the ability to communicate upstream. Chapter 5, Enhancing our Component with Pipes and Directives, shows how you can make your component more consistent and reusable with the help of pipes and directives. Chapter 6, Building an Application with Angular Components, dives right into our goal of building a real application. We address how to think and how to use the most common structural directives in order to control how the data should be displayed and act when being manipulated by UI elements. Chapter 7, Asynchronous Data Services with Angular, introduces the RxJS library, which not only helps us with AJAX but also facilitates reactive application patterns. All things async become one concept under RxJS, the possibilities that this introduces are endless. Chapter 8, Firebase, explains Firebase, which is a product by Google that allows you to have backend as a service. Firebase lets you focus on building Angular apps while it takes care of almost everything else. The best part is Firebase's reactive nature, which makes chat-like applications as well as collaboration apps a breeze to create. Chapter 9, Routing, explains the concept of routing, so you can scale your application seamlessly. Chapter 10, Forms in Angular, covers the two main ways of dealing with forms and user input: template-driven and the reactive approach. Chapter 11, Angular Material, takes you through Angular Material, which not only offers a beautiful interface but also comes with a bunch of components that will make it a piece of cake to quickly assemble an impressive application. Chapter 12, Animating Components with Angular, covers how well Angular supports the developer in leveraging and controlling quite advanced animations. Chapter 13, Unit Testing in Angular, explains unit testing in Angular. The Angular team has really added first-class support for testing, so you, with a very few lines of code, are able to test all the possible constructs your mind can dream up. Everything from component, service, and directives to E2E testing. Appendix A, SystemJS, covers SystemJS, which is a module loader and used to be the only way to set up an Angular application. It's still a valid way to set up your project. This Appendix will cover the core parts of SystemJS and zoom in on the Angular set up bit in particular. Appendix B, Webpack with Angular, aims at showing the developer how to set up your Angular project with Webpack. There definitely exists a user base that wants complete control of every aspect of a web project. If that is you, then this appendix is for you.
cm obtain upstream parametre.ppt
cm obtain upstream parametre.ppt 仅供参考
Bitter Java
Bitter Java
Proxy Pattern Informatization Research Based On SaaS
Abstract—Based on demands in proxy pattern, this article proposes informatization solution of proxy pattern which includes enterprise management, proxy management, franchisee management and supply chain management, then discusses basic functions, system architecture of the platform as well as metadata services, security strategies, and finally gives a multi-user data model -shared database, shared architecture. Keywords-Proxy Pattern; Informatization; Multi-User Data Model I. INTRODUCTION SaaS is the abbreviation of software as a service. It is a brand innovative software application pattern which starts in the 21st century along with the development and application of Internet technology. Through providing the software services over the Internet, manufactures deploy the application software on his own server, while the user customizes the services over the Internet according to the actual demand, at the same time defrays the expense according to the kind and hours of service used. What is a proxy pattern? It refers to that someone obtains the sale proxy of production enterprise or purchase proxy of users through a form of contract, and gets the commission after finishing the transaction [1]. Generally speaking, it is suitable for a new market or marketing of specialized product, such as jewelry industry, they always need special supply chain management, technology and local market, some requirements should be possessed by distributor. But it is not easy to find such one, so using a proxy pattern and establishing a proxy service center is very useful to open the target market rapidly, meanwhile fully control the logistics of both supply and demand, as shown in Figure 1: Figure 1. Proxy pattern service schema As a public service platform of the supply chain, the proxy service center is an extremely important intermediate link. On one hand, it enables every enterprise in each link of the proxy pattern to be a node in the supply chain network; on the other hand it realizes the exchange and sharing of data, information and knowledge among supply, product, and sales enterprises. The proxy service center which carries on the product logistics between supplier and franchisee has a function of managing retailers and franchisees. So this pattern can grasps the supply condition quickly, control the logistics flexibly. At present, there are already relatively mature networks in many industries. Therefore, it has a very vital practical significance to promote the informatization platform based on the proxy pattern. II. FUNCTION STUDIES OF INFORMATIZATION PLATFORM The proxy pattern informatization mainly provides a stable, completely functional service platform which integrates application systems configuring on the unified service architecture. The service vendor who is responsible for maintenance and management of the software provides the software service over the Internet for users. Users need not purchase, construct and maintain infrastructure and the application procedure. According to informatization demands in proxy industry, functions of this platform includes enterprise informatization, franchisee informatization, proxy service center informatization, supply chain informatization and SaaS website service, which is shown in Figure 2: Figure 2. Proxy pattern informatization platform A. Enterprise informatization Enterprise informatization will be realized in this module which is mainly composed of general information management systems and management information systems for specific industry. The former includes OA system, personnel management system, attendance system, human resources management system and financial system .etc; the latter are suitable for the different industries, such as production management, workshop management, inventory management etc. Each system can realize seamless integration through web services; users in different industries can customize a combination of modules, share the synthesis statistical report, and establish basic data set .etc. This has fully manifested the superiorities of the SaaS application, which not only meets individual demands of various enterprises, but also makes these enterprises to be a link in the industry chain as well as realize its own informatization. Thus, every enterprise can share the information in upstream and downstream which is a great advantage for enterprise development. B. Proxy service center informatization As one important part of the informatization platform, the proxy service center carries on the product logistics between suppliers and franchisees. The realization of proxy pattern informatization may break the phenomenon of information island, which makes the proxy service center to be an important information channel on the entire industrial chain, thus it is more advantageous for information communication and sharing among enterprises. Informatization management for the proxy service center includes functions like statistics, inquiry, finance, user management. The center requires comprehensive statistic and inquire abilities, so as to fully grasp upstream and downstream information of the industrial chain. C. Franchisee service informatization Under the proxy pattern, franchisee manages one or several brands through the proxy service center, technically accepts the instruction of the brands, and engages in the operating activities according to the business pattern in the contract. As a different from branch business, franchisee has independent operation system and informatization platform. Informatization management for franchisee will be realized in this module, which includes functions like inventory, statistics, sales, finance .etc. So it not only realizes franchisee informatization service, but integrates franchisees into the industry informatization process. D. SaaS website service SaaS website service is a show window of service vendor and a communication channel of users, through which users submit their informatization demands. After satisfying the demand of users, the supplier gives feedback to users, so as to interact with user on line. Functions like company introduction, product synopsis, informatization diagnosis, product experience, service support will be included in this module. III. SYSTEM ARCHITECTURE Above we discuss the basic functions of informatization platform in proxy industry, the remainder of this article will detail the system architecture that can help us plan and build SaaS application. A well-designed SaaS application is distinguished by three qualities: scalability, configurability, and multi-user efficiency [2]. • Scalability, which is maximum enhancing concurrency, so as to high-efficiently use the application resources. • Configurability, refers to that each user can configure appearance and behaviors of the application with metadata, simultaneously guarantees easy use of the configuration and no expense. • Multi-user efficiency, this requires an architecture that maximizes the sharing of resources across users, but that is still able to differentiate data belonging to different users [3]. In a SaaS application, keys to determine these characteristics are metadata service and data security service, which are also the focus of users [4]. Neither can a common B/S architecture guarantee the data security of users, nor can satisfy flexible business requirement. Therefore, this article proposes the following SaaS platform system architecture based on proxy pattern, as Figure 3 shows: Figure 3. SaaS system architecture under proxy pattern In this architecture, the service vendor hosts multiple users on a load-balanced farm of identical instances (SCM instance, ERP instance, franchisee instance, agent instance etc.) with the same code library. Each instance serves for a certain amount of users with different demands, and with configurable metadata providing a unique user experience and feature set for each user [5]. Identical instances can maximize resource sharing. From users’ perspectives, the application is used as usual. As a unified interface of users, the load-balanced server will be responsible to manage these application instances. SaaS can meet various kinds of service requirement changes as well as behavior differences of business logic, which is realized mainly through metadata services. Configurable and customizable of the metadata make the platform highly scalable. According to his own business process, the user can define his fields, menu, form of report, formulas, jurisdiction, views, workflow and business rules, customize kinds of service for him, thus fully meet enterprises' individual demands and realize fast response to demand changes. The security service is most important in SaaS architecture, which is specially concerned by users. From user access to security data itself, we give a solution through authentication, authorization and means of hybrid encryption. In order to realize logon security, we want to consider a hybrid approach that combines centralized and decentralized authentication system—using the centralized approach to authenticate and manage smaller users, and the federated approach for large enterprises that demand, and will pay for, the single sign-on experience [6]. After the user logs on, access to resources and business functions in a SaaS application is managed by using roles that map to specific job functions within an organization. Each role is given one or more permission that enable users assigned to the role to perform actions in accordance with any relevant business rules, roles are managed within the SaaS application itself; they can contain individual user accounts, as well as user groups. Individual user accounts and groups can be assigned several different roles as required [7]. When the user access data resources, we have another protection—data encryption. A key wrapping system that combines the advantages of symmetric and asymmetric methods is used in this platform. Three keys are created for each user as part of the provisioning process: a symmetric key and an asymmetric key pair consisting of a public key and a private key. The symmetric key is used to encrypt the user's critical data for storage [8].A asymmetric key pair is used to encrypt and decrypt the symmetric key, so as to add another layer of security. IV. MULTI-USER DATA MODEL The multi-user data model is a very important link in SaaS platform design. A good data model has a good scalability, can share the data and information well, and satisfy the users’ individual needs. The simplest data model is storing users’ data in separate databases. Computing resources and application code are generally shared between all the users on a server, but each user has its own set of data that remains logically isolated from data that belongs to all other users[7].This model makes it easy to extend the application’s data model to meet all users’ individual needs, and restoring a user’s data from backups in a failure is a relatively simple thing[9].But usually this model expands software and hardware investment and equipment maintenance cost, which is similar to traditional single user model. The second data model is shared database, separate schema in which houses multiple users in the same database, with each user having his own set of tables that are grouped into a schema created specifically for the user. Each user can use SQL statement to operate his own data table [10]. This model can guarantee logic independence and security of users’ data, while it will increase complexity to backup and restoring of the data. In order to solve the problem of two kinds mentioned above, shared database, shared schema will be used in our platform based on standardization, unification in proxy industry, in which the same database and the same set of tables are used to host multiple users’ data. Different users’ data are stored in the same table, and distinguished by different UserID. This approach has the lowest hardware and backup costs, but it has the highest sharing, because it allows you to serve the largest number of users per database server. Some proxy industry like jewelry, there are so many nodes (they are almost small and medium-sized enterprises) that we can obtain considerable clients if we can effectively guarantee data security which is the key issue of SaaS application. What is more important, the shared schema ensures logic independence of users’ data, fully share and use all users’ data resources, is advantageous to integrate entire operation process in proxy pattern; on the other hand, different enterprises with the same service may have a different business requirement, they can flexibly extend the data model according to their own demands. Now we will discuss how to realize the extension of the data model. Generally speaking, there are two schemes: reallocated fields and Name-Value pairs [11]. Reallocated fields was used to reserve some fields in advance for user extension, when new requirement was put forward, we use one field or several fields to storage extension data [12].This scheme well realizes scalability of the data to some extent, but how many fields are reallocated at last is a problem hard to control for a large number of clients in SaaS application, while this problem is decided in scheme design. So we give up this scheme, and use Name-Value pairs to realize data extension, as shown in Figure 4: Figure 4. Name-Value pairs for Multi-User data model The scheme Name-Value pairs separate the data for extension with original data table, the extension data is stored in a unified extension table which changes transverse column of the extension table for longitudinal data sets, each extension field of original data record is stored by one extension data line, then we associate the record in original data table with the record in configuration table. Thus, extension data records are formed [13]. We will store users’ data in original data table, which contains only RecordID in the form record of the default data model, the only RecordID corresponds with one line or several lines in configuration table. A user can create records in configuration table as many as possible according to the business needs, which associate the extension table through ConfigID; then customized field values will be stored in extension table, and the table is consistent with the main data table through UserID. The scheme above allows each user to create as many custom fields as necessary so as to fully meet its diversified business needs, and it won’t waste too much storage space. V. CONCLUSIONS At present, SaaS application is vigorously promoted in many industries which can save the cost for the users, reduce the risk, and speed up the informatization process of the entire industry. Based on the informatization demands in proxy industry, this article expands SaaS application from the common management software to informatization of the entire industry, proposes basic function and the multi-user system architecture of the SaaS platform under the proxy pattern, then designs multi-user data model as well as data security services which makes the data achieve a good sharing and scalability, and effectively guarantees the data security. REFERENCES [1] Liyun Feng, Distribution Channel Management, Economy & Management Publishing House, Beijing, 2002. [2] Frederick Chong, and Gianpaolo Carraro Roger Wolter, Multi-Tenant Data Architecture, Microsoft Corporation, Washington, June 2006. [3] Wenbin Yu, Xiaohui Huang, and Min Yu,”A Solution of Shared Database and Architecture’s SaaS Based on XML”, Computer and Modernization, 8-10, April 2008. [4] Zongzuo Chang, Yue Xu, and Gang Dai,” The multi-tenant data architecture study based on the SaaS model for the public service platform”, Computer Systems and Application, 7-11, Feb. 2008. [5] Zongzuo Chang, Yue Xu, and Gang Dai,” The multi-tenant data architecture study based on the SaaS model for the public service platform”, Computer Systems and Application, 7-11, Feb. 2008. [6] Frederick Chong, and Gianpaolo Carraro Roger Wolter, Architecture Strategies for Catching the Long Tail, Microsoft Corporation, Washington, April 2006. [7] Frederick Chong, and Gianpaolo Carraro Roger Wolter, Architecture Strategies for Catching the Long Tail, Microsoft Corporation, Washington, April 2006. [8] Frederick Chong, and Gianpaolo Carraro Roger Wolter, Multi-Tenant Data Architecture, Microsoft Corporation, Washington, June 2006. [9] Frederick Chong, and Gianpaolo Carraro Roger Wolter, Multi-Tenant Data Architecture, Microsoft Corporation, Washington, June 2006. [10] Wenbin Yu, Xiaohui Huang, and Min Yu,”A Solution of Shared Database and Architecture’s SaaS Based on XML”, Computer and Modernization, 8-10, April 2008. [11] Frederick Chong, and Gianpaolo Carraro Roger Wolter, Multi-Tenant Data Architecture, Microsoft Corporation, Washington, June 2006. [12] Wei Ye .etc,Software Revolution in Internet Age:SaaS Architecture Design,Publishing House of Electronics Industry,Beijing,2009, 102. [13] Wei Ye .etc,Software Revolution in Internet Age:SaaS Architecture Design,Publishing House of Electronics Industry,Beijing,2009,104-105.
PCIe-Base-r3-0-Errata-2014-10-23-clean.pdf
PCIe-Base-r3-0-Errata-2014-10-23-clean.pdf
Nginx中报错:Permission denied与Connection refused的解决
主要给大家介绍了在Nginx中报错:13: Permission denied与111: Connection refused的解决方法,文中介绍的非常详细,相信对大家具有一定的参考价值,需要的朋友们下面来一起看看吧。
coroutine using phxrpc
coroutine example, using phxrpc coroutine framework, receive data from upstream and set redis, qps 12w
Code Complete
这是被称之为程序员必读的书,介绍各种编程的技巧,非常适合开发人员参考的书
PCIe简介,介绍了PCIe的一些基本概念
https://blog.csdn.net/linjiasen/article/details/104354670?spm=1001.2014.3001.5502 介绍一下PCIe的基本概念
Nginx实现异步访问mysql的配置方法
主要介绍了Nginx实现异步访问mysql的配置方法,本文先是讲解了安装配置方法,然后给出了使用方法,需要的朋友可以参考下
网络性能测试工具
Throughput Test is a utility for testing the performance of a wireless or wired network This utility continuously sends TCP and UDP data streams across your network and computes important metrics such as upstream and downstream throughput values packet loss and round trip time and displays the results in both numeric and chart formats TamoSoft Throughput Test supports both IPv4 and IPv6 connections and allows the user to evaluate network performance depending on the Quality of Service QoS settings ">Throughput Test is a utility for testing the performance of a wireless or wired network This utility continuously sends TCP and UDP data streams across your network and computes important metrics such as upstream and downstream throughput values packet loss and round trip time and displays the [更多]
Nginx负载均衡与反向代理.docx
Nginx负载均衡与反向代理
rabbitmq-server-windows-3.6.12.zip
RabbitMQ 3.6.12 is a maintenance release. Upgrades and Compatibility See the "Upgrading clusters" section of the documentation for general documentation on upgrades. This release has no other known incompatibilities with versions 3.6.7 through 3.6.11. See the upgrade and compatibility sections in the 3.6.7 release notes if upgrading from an earlier release. Core Server Bug Fixes Process responsible for running the autoheal partition handling strategy could run into a deadlock with its peers, preventing autoheal from completing. GitHub issue: rabbitmq-server#1346 Garbage collection of mirrored queue metrics on nodes that did not host a master or mirror for a queue affected delivery and acknowledgement rates. This could result in rates being 0 or negative when they should not be. GitHub issue: rabbitmq-server#1340 Stats emission could prevent queue mirrors from performing garbage collection and consume memory even when they were empty. GitHub issue: rabbitmq-common#220 (continuation to rabbitmq-common#196) RABBITMQ_SCHEDULER_BIND_TYPE and RABBITMQ_DISTRIBUTION_BUFFER_SIZE now can be set via rabbitmq-env.conf. GitHub issue: rabbitmq-server#1338 Shovel Management Plugin Bug Fixes Passwords in source and destination URIs are now redacted out. GitHub issue: rabbitmq-federation-management#15 Federation Management Plugin Bug Fixes Passwords in upstream URIs are now redacted out. GitHub issue: rabbitmq-federation-management#15 Upgrading To upgrade a non-clustered RabbitMQ simply install the new version. All configuration and persistent message data are retained. When upgrading using definitions export/import from versions earlier than 3.6.0, see http://rabbitmq.com/passwords.html. To upgrade a RabbitMQ cluster, follow the instructions in RabbitMQ documentation.
koa上传excel文件并解析的实现方法
主要介绍了koa上传excel文件并解析的实现方法,小编觉得挺不错的,现在分享给大家,也给大家做个参考。一起跟随小编过来看看吧
nginx从编译安装到配置文件说明中文详细介绍
Nginx配置文件主要分成四部分:main(全局设置)、server(主机设置)、upstream(上游服务器设置,主要为反向代理、负载均衡相关配置)和 location(URL匹配特定位置后的设置)
RK3288 JTAG配置指南 V1.0-201703161
前言概述产品版本芯片名称内核版本RK3288RK3288读者对象本文档(本指南)主要适用于以下工程师:技术支持工程师软件开发工程师修订记录日期版本作者修改说明洪
USB 基本知识
USB的重要关键字: 1、端点:位于USB设备或主机上的一个数据缓冲区,用来存放和发送USB的各种数据,每一个端点都有惟一的确定地址,有不同的传输特性(如输入端点、输出端点、配置端点、批量传输端点) 2、帧:时间概念,在USB中,一帧就是1MS,它是一个独立的单元,包含了一系列总线动作,USB将1帧分为好几份,每一份中是一个USB的传输动作。 3、上行、下行:设备到主机为上行,主机...
详解Nginx 13: Permission denied 解决方案
主要介绍了详解Nginx 13: Permission denied 解决方案,小编觉得挺不错的,现在分享给大家,也给大家做个参考。一起跟随小编过来看看吧
ArcGIS教程:水流长度
水流长度工具的主要用途是计算给定盆地内最长水流的长度。该度量值常用于计算盆地的聚集时间。这可使用 UPSTREAM 选项来完成。该工具也可通过将权重栅格用作下坡运动的阻抗,来创建假设降雨和径流事件的距离-面积图。
最新推荐







