|Demonstration level:||Level 0 - Level not specified|
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Comment: The smart mold helps to improve the follow up of the production (QA). The plant operator will able to react more quickly to production deviations, therefore reducing strongly the scrap rates.
- Production operators: real-time data and alerts, both at the work cell level, enterprise and cloud
- Production managers and moldmakers: historical data analysis
The smart mold provides Human Machine Interaction at several levels:
Comment: Data visualization based on FIWARE Wirecloud widgets
Comment: The data acquisition is performed by the monitoring core, performed in C. The BBB + Mikrobus + Thermoclicks provide access to the data gathered by the sensors. Sensors: -Temperature: MIKROELEKTRONIKA Thermocouple Type-K Glass Braid Insulated -Pressure: KISTLER 6190C
Comment: Usage of the UA-Modeler tool to model the OPC-UA address space, containing the variables describing the acquired data.
Comment: The monitoring core has been developed in C. The OPC-UA layer has been developed in Node.js
Comment: The device platform supports a Linux distribution.
Comment: OPC-UA for M2M communication, and NGSI for data publishing on the cloud
Comment: All the information is stored in a single context in the Orion Context Broker.
Comment: OPC-UA, NGSI, RAMI 4.0, EUROMAP Engineering: SysML, BPMN
Comment: 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
Comment: 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.
Comment: The smart mold publishes data to a production manager workstation, which in the context of a factory gathers all the data from all the work cells i.e. injection presses and provided an enterprise-level view of the deployed molds in production.
Comment: 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
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