Smart Cloud Equipment Tracking and Control System

The extensive development of technology for various industrial production processes in the 21st century resulted in the occurrence of numerous specialized companies and research centers. Using a large number of devices and instruments for quality task implementation requires the consideration of the individual features of the employed devices and their proper maintenance. This can be achieved through timely instrument calibration and adjustment based on automated tracking systems. These operations largely depend on maintenance staff, thus, cloud platforms and network resources can solve the problem and promote the development of autonomous Industry 4.0 systems. As a solution, this article proposes a smart system structure with a cloud processor for a database of instrument data. The system is linked to physical objects with QR codes, and the database control and monitoring are implemented through a chatbot program. The authors analyzed the key integration areas of the smart equipment tracking and control system. The suggested system structure was used to test the prototype of a control and monitoring program for the state of industrial and laboratory equipment. The authors reviewed error control coding techniques for the recovery of facility information based on the Reed-Solomon code algorithm. The data obtained from live experiments confirmed the efficiency of cloud platform application and the economic feasibility of the proposed solution to the equipment control parameter monitoring problem under various situations.