An integrated energy data analytics approach for machine tools

Efficiency and the reduction of energy consumption in the manufacturing industry are crucial issues for green and sustainable manufacturing. In particular, the machine tool field, which is a representative resources of the manufacturing industry and consumes a large amount of energy, requires the development of a technology capable of monitoring and analyzing data from an energy point of view in addition to existing manufacturing indicators such as productivity improvement and processing quality; however, existing studies have focused on one-dimensional areas such as monitoring energy consumption or developing predictive models in an experimental environment. Therefore, it is necessary to establish a practical and integrated environment by developing more systematic methodologies and supporting systems. In this paper, an integrated approach to the energy consumption of machine tools based on a data analysis is introduced. During the development of the approach, the real-time data processing methods of various sources, such as sensors and computer numerical control interfaces were investigated in a real environment, and the energy consumption models of the target machine's tools and feeds were defined. An energy data-based comparative analysis method for diagnosing an abnormal state was also developed. In addition, practicality was confirmed through the implementation of the developed approach and the actual application process. Through the results of this paper, a more efficient energy data management and consumption plan can be established, and the convergence of advanced information communication technology can be expected to be the basis for green and sustainable manufacturing.