Publicação
An interoperable framework for industrial IoT systems integration towards Zero-Defect Manufacturing
| Resumo: | Industry 4.0 promotes the advance of several key areas in manufacturing, and emerging technologies and trends are helping to resurface quality approaches such as Zero-Defect Manufacturing (ZDM) to achieve smart manufacturing. Industrial metrology, and associated activities such as Quality Assurance (QA) are receiving constant pressure to enhance integration, interoperability, and availability of measurement information to other operations. ZDM relies on inspection activities for the generation of data for part verification. These inspection activities are performed by measuring systems located in the machines, in-line or in a laboratory. These measurement systems are being increasingly integrated with manufacturing equipment to allow shorter and automated quality control loops. That increases the need for a clear bidirectional communication with enterprise systems (e.g., Manufacturing Execution System), promoting a trusted Internet of Things (IoT) environment where reliable measurement data is accurate and available to different stakeholders. This thesis addresses the integration of measuring devices in an IoT architecture with the support of standards. It provides a framework based on IEC 62264 for Quality Operations Management (QOM) and ISO 23952:2020 - Quality Information Framework (QIF) to describe the activities of QA and provides a generic interface using OPC UA to receive and send information to the QOM activities, enabling the integration with upper systems such as an ERP and the creation of quality oriented Key Performance Indicators (KPIs). This thesis shows that an OPC UA information model for the Industrial Metrology domain, can be used, in association with a standard for enterprise-control integration (IEC 62264) to design an IoT system to help in achieving ZDM. An experimental scenario in the steel manufacturing industry is provided, demonstrating, how the generic interface can support custom software applications by using metrology data as a support, reducing product and process defects leading to ZDM. |
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| Autores principais: | Sousa, João Pedro Ribeiro de |
| Assunto: | Quality Assurance Internet of Things (IoT) Information Modelling Zero-Defect Manufacturing (ZDM) Interoperability Industrial Metrology Garantia de Qualidade Internet das Coisas (IoT) Modelação da Informação Manufatura Zero Defeitos Interoperabilidade Metrologia Industrial Engenharia e Tecnologia::Engenharia Mecânica |
| Ano: | 2022 |
| País: | Portugal |
| Tipo de documento: | tese de doutoramento |
| Tipo de acesso: | acesso aberto |
| Instituição associada: | Universidade do Minho |
| Idioma: | inglês |
| Origem: | RepositóriUM - Universidade do Minho |
| Resumo: | Industry 4.0 promotes the advance of several key areas in manufacturing, and emerging technologies and trends are helping to resurface quality approaches such as Zero-Defect Manufacturing (ZDM) to achieve smart manufacturing. Industrial metrology, and associated activities such as Quality Assurance (QA) are receiving constant pressure to enhance integration, interoperability, and availability of measurement information to other operations. ZDM relies on inspection activities for the generation of data for part verification. These inspection activities are performed by measuring systems located in the machines, in-line or in a laboratory. These measurement systems are being increasingly integrated with manufacturing equipment to allow shorter and automated quality control loops. That increases the need for a clear bidirectional communication with enterprise systems (e.g., Manufacturing Execution System), promoting a trusted Internet of Things (IoT) environment where reliable measurement data is accurate and available to different stakeholders. This thesis addresses the integration of measuring devices in an IoT architecture with the support of standards. It provides a framework based on IEC 62264 for Quality Operations Management (QOM) and ISO 23952:2020 - Quality Information Framework (QIF) to describe the activities of QA and provides a generic interface using OPC UA to receive and send information to the QOM activities, enabling the integration with upper systems such as an ERP and the creation of quality oriented Key Performance Indicators (KPIs). This thesis shows that an OPC UA information model for the Industrial Metrology domain, can be used, in association with a standard for enterprise-control integration (IEC 62264) to design an IoT system to help in achieving ZDM. An experimental scenario in the steel manufacturing industry is provided, demonstrating, how the generic interface can support custom software applications by using metrology data as a support, reducing product and process defects leading to ZDM. |
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