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Software-in-the-loop testbed for multi-agent-systems in a discrete event simulation: Integration of the Java Agent Development Framework into Plant Simulation

机译:离散事件仿真中用于多代理系统的软件在环测试床:将Java Agent开发框架集成到Plant Simulation中

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Today's research projects propose a modular manufacturing environment for production sites, which adapt itself autonomously and makes manufacturing decisions without human interaction. Therefore, it is necessary that the next generations of production lines, especially the intralogistics transportation systems, are designed more adaptable and flexible. The object in this paper is a cyber-physical material flow system with flexible, autonomous and collaborative vehicles combined with centralized sensors to digitize the workspace. For this purpose, an interface was developed which allows a discrete event simulation tool to communicate with a Multi-Agent-System. Thereby, the decision-making of the agents is integrated directly into the simulation process of the discrete event simulation software. The architecture of this interface is presented as well as a test of its functionality. The architecture is implemented with the Java Agent Development Framework and Plant Simulation as the discrete event simulation tool. The result is an interface, which allows to transfer data from the simulation, in case of an event, to the agent platform. The Multi-Agent-System solves the event specific problem due to its ontology and responses it to the simulation. Therefore, it is possible to integrate the ontology implemented in the physical system as software-in-the-loop in the simulation environment. Furthermore, the possibility is given to improve the ontology iteratively based on historical production data. Different strategies of agents can be combined and improved through machine-learning algorithms by using real production data from the task specific hardware. This leads into a continuous improvement process.
机译:今天的研究项目为生产现场提出了一种模块化的制造环境,该环境可以自动调整自身,并在无需人工干预的情况下做出制造决策。因此,有必要对下一代生产线,尤其是内部物流运输系统进行设计,使其更具适应性和灵活性。本文的目标是一种网络物理物质流系统,该系统具有灵活,自主和协作的车辆,并结合了集中式传感器以数字化工作空间。为此,开发了一个接口,该接口允许离散事件仿真工具与Multi-Agent-System进行通信。从而,将代理商的决策直接集成到离散事件仿真软件的仿真过程中。给出了此接口的体系结构以及其功能的测试。该体系结构是使用Java Agent开发框架和Plant Simulation作为离散事件模拟工具来实现的。结果是一个接口,该接口允许在发生事件的情况下将数据从仿真传输到代理平台。 Multi-Agent-System通过其本体解决了特定于事件的问题,并将其响应到模拟。因此,有可能将在物理系统中实现的本体集成为仿真环境中的循环软件。此外,有可能根据历史生产数据迭代地改进本体。可以使用来自特定任务硬件的实际生产数据,通过机器学习算法来组合和改进不同的代理策略。这导致了持续的改进过程。

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