BiDrac industry 4.0 framework: application to an automotive paint shop process

Journal Article (2021)


Control Engineering Practice





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To implement an Industry 4.0 Framework in an ongoing industrial manufacturing process to prepare it for complex Artificial Intelligence use cases is not an easy task. The automotive industry is undergoing a large transformation due to a variety of disruptive factors through the introduction of CASE (Connected, Autonomous, Shared, Electrified) technologies. Production improvements will enable future development of CASE capabilities. This paper presents an Industry 4.0 framework, named BiDrac, that integrates computing, communication and control under an Industrial Cyber–Physical​ System (ICPS) ecosystem. It combines Artificial Intelligence and Industrial Internet of Things (IIoT) inside the Industry 4.0 paradigm for the Predictive Maintenance of an Automotive Paint Shop Process inside an Industrial Cloud (IC) as an open platform that provides community of cloud-based solutions to enable the development of new digital solutions. Several real use cases of the proposed platform have been included in the results section to illustrate the potential of the proposed framework.



Author keywords

Cyber–Physical System (ICPS), Artificial Intelligence, Cloud computing, Industry 4.0, Predictive Maintenance, Automotive, Paint Shop

Scientific reference

E. Sanz, J. Blesa and V. Puig. BiDrac industry 4.0 framework: application to an automotive paint shop process. Control Engineering Practice, 109: 104757, 2021.