Abstract

Interoperability plays an important role in Industry 4.0. Interoperability in the engineering process allows the automation of the engineering phase, reducing the human effort involved and the associated engineering costs. It improves the quality of the engineering process and its overall efficiency. Nevertheless, the diversity of available standards, devices, and systems leads to great levels of heterogeneity and makes it difficult to achieve the aforementioned interoperability. As the lack of interoperability increases, a generic solution to the problem is increasingly demanded by the industry. This paper approaches the interoperability problem from a service interface perspective. A novel approach is presented to address service interface heterogeneity. The proposed solution is based on service interface translation, which is achieved via the generation of service interfaces. A new system, the consumer interface generator system, has been designed and implemented to generate interface instances to solve the interoperability mismatches between service consumers and providers at runtime. In this paper, the autonomous consumer interface generation process, the system architecture, and the generated interface instance are described. The proposed approach has been validated through practical experimentation, including the implementation of a system prototype and a testbed.

Highlights

  • The emergence of the Fourth Industrial Revolution, Industry 4.0, represents a major paradigm shift for manufacturing industry scenarios

  • The number of connected devices and systems has increased in an attempt to achieve the Industry 4.0 benefits estimated by analysts

  • This situation has led to an increase in heterogeneity and a lack of interoperability

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Summary

Introduction

The emergence of the Fourth Industrial Revolution, Industry 4.0, represents a major paradigm shift for manufacturing industry scenarios. Industry 4.0 focuses on the digitization and integration of all physical processes across the entire organization [1]. Decentralized manufacturing, far from the previous centrally controlled automation, enables smart factories to effectively handle growing complexities and increase production efficiency. The Industrial Internet of Things (IIoT) and cyber-physical systems (CPSs) are attempts to make Industry 4.0 scalable, robust, flexible, and secure. The IIoT covers all aspects of networked intelligent manufacturing systems, including a wide range of application domains and user requirements. To fully obtain the potential of these technologies, interoperability between heterogeneous systems is an essential requirement

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