Innovative measurement technologies supported by digital data processing algorithms for improved processes and products

Polish Metrology

Project title: Innovative measurement technologies supported by digital data processing algorithms for improved processes and products

Agreement number: PM/SP/0063/2021/1

Project implementation period: 14.07.2022 - 14.07.2024

Principal Investigator: dr hab. inż. Dariusz Mazurkiewicz, prof. uczelni

Project value: 999.851,60 PLN

Funds granted for Lublin University of Technology: 645 673,60 PLN

Funds granted for Bialystok University of Technology: 169 378,00 PLN

Funds granted for Rzeszow University of Technology: 184 800,00 PLN 

Abstract: Recognizing the essence of the challenges arising from the presented research and development priorities, the consortium partners prepared a project aimed at developing an innovative measurement technique with the support of processing algorithms, inference, and generation of executive actions for improved industrial processes and products (engineering and technical sciences, mechanical engineering). The developed solution based on application metrology, big data processing techniques, as well as artificial intelligence and digital twin modelling (DT), using the complementarity of resources and competences of the consortium partners, aims to develop innovative measurement techniques focused on the use of innovations in the industry in the area of metrological technologies. The expected beneficial scientific and research and economic effects from the implementation of the planned works result from the impact of the technology used to increase efficiency, improve the quality of processes and products and the stability of production processes, but also from a significant impact on increasing the level of automation of measurement and processing of its results through the use of techniques digital. The indirect goal of the project is also to initiate the development of modern solutions supporting the development of technologies supporting the implementation of the idea of Industry 4.0, including the processing of large sets of measurement data (Big Data), technological solutions in the field of Internet of Things technology, and the broadly understood digitization of production.

     The direct and indirect goals of the project will be achieved through the implementation of two tasks, the first of which concerns research and development in the field of three types of measurement techniques of a strictly applicative nature: 1.developing a new, effective method for measuring and assessing the accuracy of a free surface, 2.development, validation and calibration of the measurement system for the dynamic analysis of machines, and 3. development of models for the optimal choice of time after which the workpiece can be measured with an inspection probe on a CNC machine tool. The second research task, based on the results achieved during the implementation of the first task, as well as based on additional measurements in laboratory and industrial conditions and digital modelling with the use of a digital twin, is aimed at developing the concept of an integrated system implementing the idea: "from measurement to execution" , typical of an implementation in Industry 4.0. A method of processing measurement data will be developed using techniques typical for machine learning, also by analyzing the possibility of increasing the accuracy of measurements in industrial conditions of selected physical quantities based on algorithms taking into account the current metrological properties of measurement paths of these quantities in the full scope of processing (including the result of the developed methods of calibrating sensors and measuring lines in laboratory conditions). The planned effect of the implementation of this research task will also be to increase the reliability of measurements in industrial conditions of selected physical quantities on the basis of algorithms taking into account the current metrological properties of the measurement paths of these quantities for the currently measured value (as a result of the developed methods of controlling sensors and measurement lines in-situ).