Name
Abstract | ||
|---|---|---|
Industry 4.0 transition is producing a remarkable change in the Smart Factories management. Modern companies can provide new services following products inside the shop floors along the entire production chain. To achieve the goal of servitization that the Industry 4.0 world requires, a modernization of current production chains is needed. This common demand comes mostly from manufacturing sector, where complex work machines collaborate with human workers. The data produced by the machines must be processed quickly, to allow the implementation of reactive services such as predictive maintenance, and remote control, always taking care of the safety of nearby people. This paper proposes a multi-layer architecture to monitor legacy production machines during their operations inside customers plants. The platform provides near real-time delivery of data collected from the machines with a high grade of customization according to customer needs. The performed tests show the scalability of the platform for a productive ecosystem with many machines at work, confirming its feasibility within different production facilities with different needs. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1109/WFCS.2019.8757952 | 2019 15th IEEE International Workshop on Factory Communication Systems (WFCS) |
Keywords | Field | DocType |
Industry 4.0,Smart Manufacturing,Big Data,Cloud-enabled Data Collection,Apache Kafka | Architecture,Remote control,Computer science,Computer network,Manufacturing engineering,Predictive maintenance,Big data,Industry 4.0,Cloud computing,Scalability,Personalization | Conference |
ISBN | Citations | PageRank |
978-1-7281-1269-5 | 0 | 0.34 |
References | Authors | |
4 | 7 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Filippo Bosi | 1 | 0 | 0.34 |
| A. Corradi | 2 | 2429 | 183.23 |
| Luca Foschini | 3 | 884 | 89.16 |
| Stefano Monti | 4 | 23 | 3.69 |
| Lorenzo Patera | 5 | 2 | 1.73 |
| Luca Poli | 6 | 0 | 0.68 |
| Michele Solimando | 7 | 1 | 1.38 |