Data underlying the MSc Thesis: : Digital Platforms for Industrial Metaverse Applications: A Framework to Identify Data Quality Insufficiencies

<strong>Nvidia Omniverse Data Quality Gate</strong>This project contains the source code to an Nvidia Omniverse extension capable of flawlessly identifying the six most critical data quality insufficiencies within the 3D environment of an automitve manufacturer's virtual factory models, perform an applicable analysis of the data obtained from this identification and derive concrete KPIs.<br><strong>Project Description</strong><em>Problem: </em>Data quality assessments of virtual factory models visualised in the Nvidia Omniverse 3D environment have to be conducted fully manually. This procedure is time-consuming and prone to errors, causing the benefits of the Nvidia Omniverse in the automotive manufacturing sector to be outweighed by the costs of ensuring sufficient data quality.<br><em>Objective:</em>This software extension to the Nvidia Omniverse is capable of automatically identifying the most critical insufficiencies within a virtual factory model and performing an analysis of the results to compute adequate KPIs. Based on these KPIs, minimum data quality requirements are to be defined that need to be met by virtual factory models coming from the Factory Assembler to be published for visualisation in the Nvidia Omniverse. Thereby, a data quality gate is created that ensures a certain quality standard of data in the Nvidia Omniverse.<br><em>Get Started:</em>1. In the Omniverse App open extension manager: Window → Extensions.2. In the Extension Manager Window open a settings page, with a small gear button in the top left bar.3. In the settings page there is a list of Extension Search Paths. Add file path to `exts` subfolder there as another search path4. Now you can find omniverse.quality.gate extension in the top left search bar. Select and enable it.5. "Nvidia Omniverse Data Quality Gate" window will pop up in bottom right corner. Extension Manager watches for any file changes and updates extension following a hotreload.<br><em>Functionalities:</em>`quality_checks.py`: Identification functions for each of the six data quality insufficiency checks (+ relevant reoccuring functions enbaling these checks)`ui_window.py`: All UI specifications including window set-up and automatic data analysis to create KPI dashboard<br><br>

**英伟达欧米尼沃斯（Nvidia Omniverse）数据质量关卡**
本项目包含一款英伟达欧米尼沃斯（Nvidia Omniverse）扩展插件的源代码，该插件可精准识别某汽车制造商虚拟工厂模型的3D环境中六大最关键的数据质量缺陷，对识别出的数据开展针对性分析，并推导具体关键绩效指标（Key Performance Indicator, KPI）。

**项目说明**
*问题：* 当前针对英伟达欧米尼沃斯（Nvidia Omniverse）3D环境中可视化的虚拟工厂模型开展数据质量评估时，需完全依靠人工操作。该流程耗时冗长且极易出现失误，导致英伟达欧米尼沃斯在汽车制造领域的应用效益被保障足够数据质量所需的成本所抵消。

*目标：* 这款面向英伟达欧米尼沃斯（Nvidia Omniverse）的软件扩展插件，可自动识别虚拟工厂模型中的各类关键质量缺陷，并对检测结果开展分析以计算合理的关键绩效指标。基于这些指标，需定义最低数据质量要求，供来自工厂装配系统的虚拟工厂模型在发布至英伟达欧米尼沃斯进行可视化展示时遵循。由此构建一套数据质量关卡，保障英伟达欧米尼沃斯中的数据达到既定质量标准。

*快速入门：*
1. 在欧米尼沃斯应用中打开扩展管理器：点击「窗口」→「扩展」。
2. 在扩展管理器窗口中打开设置页面，点击顶部左侧栏的小齿轮按钮即可进入。
3. 在设置页面中存在扩展搜索路径列表，将`exts`子文件夹的文件路径添加为额外搜索路径。
4. 此时即可在顶部左侧的搜索栏中找到`omniverse.quality.gate`扩展插件，选中并启用它。
5. 「英伟达欧米尼沃斯数据质量关卡」窗口将在右下角弹出。扩展管理器会监控所有文件变更，并通过热重载功能更新扩展插件。

*功能特性：*
- `quality_checks.py`：包含六大数据质量缺陷检测的识别函数，以及支撑此类检测的相关复用函数。
- `ui_window.py`：涵盖所有界面规范，包括窗口搭建与自动数据分析以生成关键绩效指标仪表盘。