This paper analyzes different facilities useful for pasta industry. These proposed topics are studied during the development of a research industry project involving the design of tools suitable for production sensing and actuation processes allowing automation. After a discussion about architecture design containing facilities, the attention has been focused on production traceability, image vision quality inspection and predictive maintenance. The predictive maintenance has been implemented by an artificial neural network algorithm able to predict humidity in a controlled environment. The proposed model is suitable for Industry 4.0 implementing internet of things -IoT- devices.
Sensing and Quality Monitoring Facilities Designed for Pasta Industry Including Traceability, Image Vision and Predictive Maintenance
Massaro A;
2019-01-01
Abstract
This paper analyzes different facilities useful for pasta industry. These proposed topics are studied during the development of a research industry project involving the design of tools suitable for production sensing and actuation processes allowing automation. After a discussion about architecture design containing facilities, the attention has been focused on production traceability, image vision quality inspection and predictive maintenance. The predictive maintenance has been implemented by an artificial neural network algorithm able to predict humidity in a controlled environment. The proposed model is suitable for Industry 4.0 implementing internet of things -IoT- devices.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
