| Revista: | Latin-American Journal of Computing (LAJC) |
| Base de datos: | |
| Número de sistema: | 000565124 |
| ISSN: | 1390-9134 |
| Autores: | Álvarez Urdiales, Ronald1 Álvarez Villacís, Ronald2 García, Angélica1 |
| Instituciones: | 1Escuela Superior Politécnica del Litoral, 2Universidad de Especialidades Espíritu Santo., |
| Año: | 2019 |
| Volumen: | 6 |
| Número: | 2 |
| Paginación: | 47-52 |
| País: | Ecuador |
| Idioma: | Inglés |
| Resumen en inglés | Given the inherent need to have technological tools to reduce the number of incidents caused by the operation of heavy machinery, this document briefly describes the design of a prototype Accident Prevention System for industrial vehicles using Radio Frequency Identification Technology (RFID). ) that warns about the proximity of people to the area of operation of industrial equipment, the deployment of Open Source technology provides the necessary resources for a Raspberry Pi 3 B + control device to execute information processing through a control interface that will activate an alarm and through a management module the RFID components (TAGS and Readers) will be managed and the reports of the readings will be obtained. Finally, considering factors such as frequency, the operating environment, the type of modulation, the antenna height, the radiation pattern of the antenna, the antenna gain and the receiver gain influence the propagation of the waves radio will perform a predictive investigation in different scenarios by means of an estimation of the coverage based on the model of propagation of loss in free space to verify the reliability of the prototype that operates with Ultra Narrow Band technology and employs techniques of Spread Spectrum by Jump Frequency. |
| Keyword: | FHSS, UNB, RFID, radio wave, Propagation |
| Texto completo: | Texto completo (Ver PDF) |
