Benchmark for AI-based Diagnosis and Reconfiguration

该数据集是为了评估模块化流程工厂中基于人工智能的诊断、重组和规划而设计的模拟模型，特别关注一个混合模块，该模块包含了参数化的故障类型，如堵塞、泄漏和泵的退化。此外，该数据集还包括了用于评估集成了大型语言模型代理和数字孪生环境的 方法论框架的参数化故障类型。该数据集基于一个四桶系统，其中包括一个中央泵和可控阀门，其任务是处理和控制流程工厂混合模块中的故障。

This dataset is a simulation model developed to evaluate AI-based diagnosis, reorganization and planning in modular process plants, with particular focus on a hybrid module that incorporates parameterized fault types including clogging, leakage, and pump degradation. Additionally, this dataset includes parameterized fault types for assessing a methodological framework that integrates large language model (LLM) agents and digital twin environments. This dataset is based on a four-tank system equipped with a central pump and controllable valves, whose purpose is to handle and control faults within the hybrid modules of process plants.