人工智能支持的工业能力市场

Eric Brandt, Felix Brandt, Konstantin Clemens, Dirk Reichelt
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引用次数: 0

摘要

目前在工业环境中数字化生产过程的努力面临着一些挑战。虽然已经有了广泛的映射组件和产品的标准,但仍然缺乏沟通具体产品需求和工厂或生产车间给定能力的解决方案。以前的方法依赖于标准化的特征目录或严格定义的符号学,不能提供令人满意的解决方案。更可取的是无干预的数据交换和在产品需求和设置条件之间进行调解的协商过程。为此,本文提出了一种市场体系结构,其组件将工业系统的能力与产品需求进行比较,并根据它们是否适合满足期望的需求来评估它们。本文详细研究了利用GCN快速识别化合物相等性的方法,并将其转移到工业环境中。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
AI-Supported Marketplace For Industrial Capabilities
The current efforts to digitize production processes in the industrial environment are associated with several challenges. While there is already a wide range of standards for mapping components and products, there is still a lack of solutions for communicating concrete product requirements and given capabilities of a plant or production hall. Previous approaches, which rely on standardized feature catalogs or rigidly defined semiotics, do not offer a satisfactory solution. More desirable is an intervention-free data exchange and a negotiation process that mediates between product requirements and setup conditions. To this end, this paper proposes an architecture of a marketplace whose components compare the capabilities of an industrial system with the product requirements and evaluate them in terms of their suitability to meet the desired requirements. An approach for the rapid recognition of equality in chemical compounds using GCN is examined in detail and transferred to an industrial context.
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