Cognitive Solutions in Process Industry: H2020 CAPRI Project

International Conference on Innovative Intelligent Industrial Production and Logistics Pub Date : 1900-01-01 DOI:10.5220/0011562000003329

Cristina Vega, D. Gómez, Aníbal Reñones

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Abstract

: The CAPRI project is a H2020 project that develops Cognitive Solutions (CS) to the Process Industry and a Cognitive Automation Platform (CAP) towards the Digital Transformation of process industries. CAPRI enables cognitive tools to provide to the existing process industries flexibility of operation, improving the performance and quality control of its products and flows. The project is developing and testing different CS’s at each automation level, from sensors to planning. The content of this paper is focused on the CAPRI asphalt production applying different CS’s for the sensors and control levels. Specifically the paper discusses a cognitive sensor for measuring filler quantity to the filter at drying process (noted as CAS2) and cognitive control concept applied to optimize the operation of the rotary dryer (noted as CAC1). The paper explains also how the CS’s are being integrated by means of an open source architecture based on FIWARE. The paper provides also open access to the data and algorithms used as part of the commitment of CAPRI with open science.

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过程工业认知解决方案:H2020 CAPRI项目

CAPRI项目是一个H2020项目，旨在为过程工业开发认知解决方案(CS)和面向过程工业数字化转型的认知自动化平台(CAP)。CAPRI使认知工具能够为现有流程工业提供操作的灵活性，改进其产品和流程的性能和质量控制。该项目正在开发和测试每个自动化级别的不同CS，从传感器到规划。本文的主要内容是在CAPRI沥青生产中应用不同CS的传感器和控制水平。具体来说，本文讨论了用于测量干燥过程中过滤器填充量的认知传感器(CAS2)和用于优化旋转干燥机操作的认知控制概念(CAC1)。本文还解释了CS是如何通过基于FIWARE的开源架构进行集成的。本文还提供了作为CAPRI开放科学承诺的一部分使用的数据和算法的开放访问。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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International Conference on Innovative Intelligent Industrial Production and Logistics

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