Assessment of Energy Use Based on an Implementation of IoT, Cloud Systems, and Artificial Intelligence
| Autor: | Adriana Florescu, Ciprian Mihai Coman, Constantin Daniel Oancea |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: |
Technology
Control and Optimization Industry 4.0 Computer science Reliability (computer networking) data analysis Energy Engineering and Power Technology 02 engineering and technology Data acquisition 0202 electrical engineering electronic engineering information engineering Use case Product (category theory) Electrical and Electronic Engineering Engineering (miscellaneous) sensor network Pace reliability virtual platform Renewable Energy Sustainability and the Environment 020208 electrical & electronic engineering Go to market Systems engineering data prediction 020201 artificial intelligence & image processing electrical installation Wireless sensor network Energy (miscellaneous) |
| Zdroj: | Energies Volume 14 Issue 11 Energies, Vol 14, Iss 3202, p 3202 (2021) |
| ISSN: | 1996-1073 |
| DOI: | 10.3390/en14113202 |
| Popis: | Nowadays products are developed at a rapid pace, with shorter and shorter times between concept and go to market. With the advancement in technology, product designers and manufacturers can use new approaches to obtain information about their products and transform it into knowledge that they can use to improve the product. We developed the Poket Framework platform to facilitate the generation of product knowledge. In order to increase the reliability and safety in operation of electrical equipment, an evaluation is proposed, through tests and studies, using the original Poket Framework platform. Thus, several tests and studies were performed, which included testing and analyzing the correct integration in several use cases and remote data acquisition, and testing and analysis of the Poket Framework using literature established data sets of household appliances and electrical systems. Possible evolutions and Poket platform extensions are also considered. |
| Databáze: | OpenAIRE |
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