An Industry 4.0 Approach for Photovoltaic Plants Monitoring
| Autor: | Antonio Miranda de la Torre, Pablo Barredo Gil, Gabriel Díaz Orueta, Juan Luis Carús Candás, Miguel Ángel Fernández |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2018 |
| Předmět: |
Big Data
Industry 4.0 Computer science business.industry Big data Photovoltaic system Volume (computing) lcsh:A internet of things Manufacturing engineering photovoltaic Key (cryptography) ComputerSystemsOrganization_SPECIAL-PURPOSEANDAPPLICATION-BASEDSYSTEMS lcsh:General Works business Software architecture Internet of Things |
| Zdroj: | Proceedings, Vol 2, Iss 23, p 1409 (2018) |
| ISSN: | 2504-3900 |
| Popis: | The exploitation of photovoltaic energy has experienced a great growth worldwide in recent years. Photovoltaic installations are characterized by the presence of a large number of devices and elements. This situation makes the operation and performance of a photovoltaic installation dependent of a large number of parameters and variables. Moreover, due to the size of some photovoltaic installations, a high volume of heterogeneous data is produced. Traditional approaches cannot tackle with such a huge amount of generated data. Through the adoption of a software architecture based on Industry 4.0. Key Enabling Technologies (such as Internet of Things and Big Data, among others), it is possible to improve the monitoring and operation procedures of photovoltaic plants. |
| Databáze: | OpenAIRE |
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