广东工业大学跨系统业务组件智能装配编排算法数据集

该数据集用于支撑课题二指标2.2基于组件的跨系统业务流程融合集成方法，数据内容分为三个文件，分别对应业务组件智能装配大模型智能体三个步骤的案例库，第一个是任务拆分文件，是用来帮助大模型理解应用任务需求语义，对应用任务进行分解各个子任务、第二个是组件匹配文件，用来帮助大模型匹配相关服务组件、第三个是工作流生成文件，用来帮助大模型构建组件协同工作流。数据来源为广东工业大学自行研发产生，数据生成地点为广东工业大学信息物理融合系统实验室，采集时间为2024年3月到2024年8月，数据量约为60KB,包含1个数据集说明文件，3个图表文件。

This dataset is developed to support Indicator 2.2 of Task 2: Component-based Cross-system Business Process Fusion and Integration Method. It consists of three files, which serve as the case bases for the three steps of the intelligent assembly Large Language Model (LLM) Agent for business components:
1. Task splitting case base: This file helps the LLM comprehend the semantics of application task requirements and decompose the corresponding overall tasks into multiple sub-tasks.
2. Component matching case base: This file assists the LLM in matching relevant service components.
3. Workflow generation case base: This file helps the LLM construct a collaborative workflow for components.

This dataset was independently developed by Guangdong University of Technology. It was generated in the Cyber-Physical Systems Laboratory of Guangdong University of Technology, with data collected from March 2024 to August 2024. The total data volume is approximately 60 KB, including 1 dataset description file and 3 chart files.

搜集汇总

背景与挑战

背景概述

该数据集由广东工业大学信息物理融合系统实验室于2024年3月至8月研发产生，旨在支撑基于组件的跨系统业务流程融合集成方法研究。数据内容包含三个文件，分别对应任务拆分、组件匹配和工作流生成步骤的案例库，用于辅助大模型实现业务组件的智能装配与编排，总数据量约为60KB。