Acquisition, transmission and management of data in industrial practice in the digital age

Abstract

Digital technologies permeate all aspects of industrial production and Logistics systems, accelerating the generation of large amounts of industrial data. Industry 4.0 and Industrial Internet of Things offers great development opportunities, new perspectives, a new paradigm of autonomous and decentralized production control. The information on the current status of industrial processes is invaluable in present times. Among others, it enables deliberate and rational management of available resources. Therefore, acquisition, transmission and management of data is an important issue in the systems for collecting data from production lines and a key element in the decision-making process. In industrial practice, the data acquisition process uses the information obtained from various sensors placed directly in production lines. The current level of microelectronics development enables acquisition and transfer of data from technological processes in real time. This article presents selected popular methods of automatic acquisition and transfer of data directly from production lines in the course of implementation of manufacturing processes. A review of all the issues discussed is supported by examples. Particular attention is paid to the nature and importance of data acquisition in the decisionmaking process. It was emphasized that the information itself is very important, but the value of information and the way it is processed and managed are also important. Data management in the unit optimizes the decision-making process and the work of the entire unit. On the other hand, data is a resource, the loss of which may result in the loss of competitive position or the loss of development opportunities.