Abstract:
In recent years, the development of a machine-to-machine communication and
Industrial Internet of Things has paved the way for developing intelligent and self-governing
autonomous machines in smart industries. These autonomous machines are capable of
collecting data from various sensing devices and other interconnected machine systems by
utilising OPC UA communication protocols. Currently, these machines have the capabilities
to send and receive data which is just sufficient for autonomous decision making. However,
current low-level machine-to-machine communication involves only in processing data, and
taking corresponding actions are limited to an individual machine system instead of sending
commands to other interconnected machines. This paper primarily focusses on enhancing such
limitation in the machine-to-machine communication in OPC UA protocols, and on making
multiple decisions respective to received data and delivering commanding actions to the smart
machines connected in vertical (higher-level machines) and horizontal machines (same level
machines) in the process of making advanced machine-to-machine communication in smart
factory. Moreover, the presented framework concept was developed and verified using python
OPC UA server-client instances.