Development of a system for monitoring and teleoperation cnc machine tools through the internet adherent to industry 4.0

As empresas vêm passando por constantes mudanças organizacionais a fim de se manterem competitivas. A indústria manufatureira investe fortemente em insumos como as tecnologias de informação e comunicação (TIC). Padrões como MTConnect e OPC-UA estão criando o caminho para o desenvolvimento da nova era industrial, este trabalho apresenta a arquitetura de um framework implementado na forma de um sistema cliente-servidor baseado na internet para o monitoramento e a teleoperação máquinas-ferramenta CNC, e que apresenta atributos em conformidade com a “Indústria 4.0”. A concepção do framework foi realizada através de uma abordagem metodológica que envolveu o uso de diagramas IDEF0 e a metodologia de Projeto axiomático para o refinamento do modelo. O trabalho de implementação computacional fundamentou-se na integração de servidores na forma de serviços através de um sistema na web, o CyberDNCCompanies have been undergoing constant organizational changes in order to remain competitive. The manufacturing industry invests heavily in inputs such as information and communication technologies (ICT). Standards such as MTConnect and OPC-UA are creating the path to the development of the new industrial era, this paper presents the architecture of a framework implemented as an Internet-based client-server system for monitoring and teleoperation CNC machine tools, and which features attributes in accordance with "Industry 4.0". The design of the framework was carried out through a methodological approach that involved the use of IDEF0 diagrams and the Axiomatic Design methodology for the refinement of the model. The computational implementation work was based on the integration of servers in the form of services through a web system, the CyberDNC

Development of a supervisory internet of things (IoT) system for factories of the future

Big data is of great importance to stakeholders, including manufacturers, business partners, consumers, government. It leads to many benefits, including improving productivity and reducing the cost of products by using digitalised automation equipment and manufacturing information systems. Some other benefits include using social media to build the agile cooperation between suppliers and retailers, product designers and production engineers, timely tracking customers’ feedbacks, reducing environmental impacts by using Internet of Things (IoT) sensors to monitor energy consumption and noise level. However, manufacturing big data integration has been neglected. Many open-source big data software provides complicated capabilities to manage big data software for various data-driven applications for manufacturing. In this research, a manufacturing big data integration system, named as Data Control Module (DCM) has been designed and developed. The system can securely integrate data silos from various manufacturing systems and control the data for different manufacturing applications. Firstly, the architecture of manufacturing big data system has been proposed, including three parts: manufacturing data source, manufacturing big data ecosystem and manufacturing applications. Secondly, nine essential components have been identified in the big data ecosystem to build various manufacturing big data solutions. Thirdly, a conceptual framework is proposed based on the big data ecosystem for the aim of DCM. Moreover, the DCM has been designed and developed with the selected big data software to integrate all the three varieties of manufacturing data, including non-structured, semi-structured and structured. The DCM has been validated on three general manufacturing domains, including product design and development, production and business. The DCM cannot only be used for the legacy manufacturing software but may also be used in emerging areas such as digital twin and digital thread. The limitations of DCM have been analysed, and further research directions have also been discussed