BEinCPPS mapped on
RAMI 4.0 Hierarchy Axis

General desciption of RAMI 4.0 Hierarchy Axis:

On the right horizontal axis of RAMI 4.0 are the hierarchy levels from IEC 62264, the international standards series for enterprise IT and control systems. These hierarchy levels represent the different functionalities within factories or facilities. The IEC 62264 standard is based upon ANSI/ISA-95. To represent the Industry 4.0 environment, these functionalities have been expanded to include work pieces, labeled 'Product', and the connection to the Internet of Things and services, labeled 'Connected World'.  (From https://www.isa.org).  

Industry 4.0 promotes a less hierarchical approach of lexible systems and machines were functions are distributed through the network.   The network can cross company boundaries ('Connected World'). Participants interact across hierarchical levels: participants are able to communicate with each other. Products are part of the network. See also https://www.plattform-i40.de/PI40/Redaktion/EN/Downloads/Publikation/rami40-an-introduction.html

  • Results:
    The experiment involves the "CPS-ization" of a mechanical piece of equipment used in the plastic injection process: the mold. It will be enabled with sensors to capture the physical properties relevant during the injection process, mainly temperature and pressure. In certain variations of the smart mold, it will also drive electrical actuators to perform in-mold mechanical movements, such as piece ejection or product version-switching. Sensors: -Temperature: MIKROELEKTRONIKA Thermocouple Type-K Glass Braid Insulated -Pressure: KISTLER 6190C Actuators: -Stepper motor: SM2863-5155
    On the Field level is deployed Whirlpool-specific hardware (Controller and Actuator boards) and software (the Test Executor) that are directly connected to the Product under test.
  • Results:
    The mold is mounted on top of an press machine, which performs the actual raw material conversion and performs the actual injection process. The smart mold communicates with the press to raise pre-configured alerts when the sensors detect abnormal situations, as well as to guide mechanical movements.
    Online results of Product testing are also used for the early detection of problems in the manufacturing plant.
  • Results:
    The Smart Mold, as a true cyber-physical system, publishes data through a cloud infrastructure. In this cloud space, different applications are made available: -Visualization dashboards through widgets, to allow real-time visualization of production data -Data persistence: Store the physical data acquired by the sensors to enable historical analysis -Integration with information systems (ERP/MES): To trigger mainteinance operations for the mold when these are required