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

Nvidia Omniverse Data Quality GateThis 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. Project DescriptionProblem: 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. Objective: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. Get Started: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. Functionalities:`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

英伟达欧米尼沃斯（Nvidia Omniverse）数据质量网关
本项目包含一款英伟达欧米尼沃斯（Nvidia Omniverse）扩展程序的源代码，该程序可精准识别汽车制造商虚拟工厂模型3D环境中六种最严重的数据质量缺陷，对识别获取的数据开展适配性分析，并推导具体的关键绩效指标（KPIs）。

## 项目说明
### 问题现状
在英伟达欧米尼沃斯（Nvidia Omniverse）3D环境中可视化的虚拟工厂模型，其数据质量评估目前需完全手动完成。该流程耗时耗力且易引入人为误差，导致保障数据质量所需的成本超过了英伟达欧米尼沃斯在汽车制造领域所能带来的实际收益。

### 项目目标
本面向英伟达欧米尼沃斯的软件扩展程序，可自动识别虚拟工厂模型中最严重的数据质量缺陷，并对分析结果进行处理以计算适配的关键绩效指标。基于这些指标，需定义最低数据质量要求，供来自工厂装配工具的、即将发布至英伟达欧米尼沃斯进行可视化的虚拟工厂模型遵循。由此可构建一道数据质量网关，确保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：依次点击「窗口」→「扩展」。
2. 在扩展管理器窗口中，点击左上角工具栏的小齿轮按钮打开设置页面。
3. 在设置页面中找到「扩展搜索路径」列表，将`exts`子文件夹的文件路径添加为新的搜索路径。
4. 此时可在左上角的搜索栏中找到`omniverse.quality.gate`扩展程序，选中并启用它。
5. 右下角将弹出「英伟达欧米尼沃斯数据质量网关」窗口。扩展管理器会监听所有文件变更，并通过热重载机制更新扩展程序。

## 功能模块
- `quality_checks.py`：包含六种数据质量缺陷检查的识别函数，以及支撑各类检查的复用辅助函数
- `ui_window.py`：涵盖所有UI相关配置，包括窗口搭建与自动数据分析功能，用于生成关键绩效指标仪表盘