平台架构

简介

本指南介绍 UiPath Process Mining的架构。 通常， UiPath Process Mining 用于加载数据并在网页浏览器中向最终用户呈现结果。

System architecture

UiPath Process Mining 包含多个用于开发流程改进应用程序的组件。

有关 UiPath Process Mining系统架构的概述，请参见下图。

以下是 UiPath Process Mining元素的说明。

Apps / Discovery Accelerator

Process Mining 提供了即用型应用程序和发现加速器，用于深入了解流程、执行根本原因分析以及持续监控。

使用 AppOne， Purchase-to-Pay Discovery Accelerator 和 Order-to-Cash Discovery Accelerator 用户可以立即开始分析流程，而无需从头开始创建新应用程序。

AppOne 是通用流程的默认仪表板模板。 UiPath Process Mining 中的新 Process Mining 应用程序和发现加速器使用 AppOne 创建，然后根据特定需求进行配置。

应用程序和发现加速器的功能可以使用您的组织在其自己的品牌标识下的特定功能进行扩展。 如果完全需要其他应用程序，则可以使用 UiPath Process Mining 的完整功能来创建全新的应用程序。

GIT

Git 用于在 UiPath Process Mining 平台上存储仪表板和协作开发。 对于单服务器部署，可以使用内置 Git 服务器，无需任何其他设置。 对于多服务器部署，可以使用组织内的（现有）Git 服务器或基于云的 Git 服务器（例如，来自 UiPath Process Mining 或 GitHub）。

特蕾西

TRACY is a technique that defines the layout of process graphs. TRACY lets process graphs look more like how you would draw a process yourself. When drawing a process, you normally begin with the start activity and finish with the end activity of the process. In between, you try to position all other activities in their executed order. TRACY takes the overall flow of the process into account and displays this as the main flow in your process graph. With TRACY all the activities of the process are positioned and ordered in a way that makes sense. This helps users to more easily understand their processes.

When changing data, TRACY minimizes changes to the process graph. When users add process filters to display happy paths or to filter out data, TRACY keeps the layout of the process graph as stable as possible. When analyzing a process, the process graph now always looks about the same, no matter which dashboard is used, or which filters apply. This makes analyzing the process easier.

TRACY smoothly animates the transitions between filter states. This helps users to understand what happens when filtering.

In-memory database

The in-memory database stores all data for fast access by the process mining algorithms. In this way, the data can be accessed very quickly without using the input databases.

数据源

UiPath Process Mining 支持可以选择分隔符和引号的文本文件，例如 .txt、.csv、.tsv 文件。ASCII 文本文件支持采用 Latin-1 (ISO-8859-1) 编码，并且支持带和不带 BOM 的 UTF-8 文件。

Also, Excel files (.XLSX and .XLS) can be imported. The sheet or range within the file can be specified. For sheets, an autodetect is performed for the actual data range, of the auto-detect fails the range needs to be specified in Excel and then used. Unicode within Excel is fully supported.

All databases that can be accessed via a 64-bit ODBC driver can be used as a data source. Below is a list of commonly used databases.

• MSSQL
• Oracle
• MySQL
• MariaDB
• PostgreSQL
• Firebird
• 访问

Script datasources (R/Python)

UiPath Process Mining 包含的功能支持使用可用作数据源的外部工具（例如 R 脚本和 Python）处理数据。 应用程序开发者可以定义需要将哪些属性导出到外部流程。

请参阅使用通用脚本数据源。