Identifying Internet of Things (IoT) solutions in the complex process of industrial machinery maintenance
Identifying Internet of Things (IoT) solutions in the complex process of industrial machinery maintenance
Author(s): Mohammad Ehsanifar, Fatemeh Dekamini, Milad Bajelan, Cristi Spulbăr, Ramona Birău, Sina Shalibeik, Toni CălugăruSubject(s): Business Economy / Management, Energy and Environmental Studies, ICT Information and Communications Technologies
Published by: Editura Universitaria Craiova
Keywords: Internet of Things (IoT); heating system; optimization to reduce power consumption; power management;
Summary/Abstract: Today, the Internet of Things (IoT) is used as an optimization tool in many aspects of monitoring. It seems that IoT is a suitable approach to transfer data related to various activities, including industrial activities, and ultimately leads to cost optimization and increase the life of some equipment. Accordingly, this study examines the identification of IoT solutions in the maintenance of industrial machinery. Research Method: The method used was estimative and fuzzy in MATLAB software environment. The required data for estimation were collected in DTA format and with the opinion of experts using industrial equipment in the form of pairwise comparison matrices. Findings: Findings from estimation in fuzzy environment showed that the best possible solutions for identifying and using IoT tools in repair and maintenance of machines based on ranking and respectively to the components of heating system monitoring, direction optimization Reducing power consumption and managing power consumption, creating data transmission firewalls to ensure security and safety, as well as providing automation of inspection equipment along with critical event management. Results: Also, for the most optimal use of the Internet of Things in the repair and maintenance of industrial machinery, it is necessary that sensors continuously provide data related to intelligent air conditioning, equipment consumption management in the cloud computing space to engineers and repair technicians.
Journal: Revista de Științe Politice. Revue des Sciences Politiques
- Issue Year: 2021
- Issue No: 70
- Page Range: 27-55
- Page Count: 29
- Language: English