Publicação
Development of a sensory data concentrator for network broadcasting
| Resumo: | This work is part of the ON-SURF project, which is involved in surface engineering in manufacturing processes such as metal stamping and plastic injection. On this matter, ON-SURF explores surface optimization procedures, aiming to improve the cost-benefit of the molds and the quality control of the produced parts. To this end, a data acquisition system was created to monitor the pressure and temperature of these surfaces, meeting the requirements of modularity and scalability, so that it can be expanded or contracted depending on the number of sensors required. This project consists of three different modules, in which one is responsible for the signal conditioning of the sensors, the other module, where the Olimex ESP32-PoE-ISO microcontroller was used, acquires, digitizes and sends this signal to a concentrator through Ethernet, while the last module, which was implemented in a Raspberry Pi and is the focus of this dissertation, is the data concentrator, responsible for gathering, processing and storing the data in a database. Some robustness tests were performed to verify the system. It was concluded that each conditioning module can support up to eight sensors simultaneously, with a sampling rate for 1kHz data acquisition, transferring to the concentrator using UDP protocol, with virtually zero packet losses, at a speed of 2000 packets per second. |
|---|---|
| Autores principais: | Girardi Neto, João Valter |
| Assunto: | On-surf concentrator modular scalable data acquisition |
| Ano: | 2022 |
| País: | Portugal |
| Tipo de documento: | dissertação de mestrado |
| Tipo de acesso: | acesso aberto |
| Instituição associada: | Instituto Politécnico de Bragança |
| Idioma: | inglês |
| Origem: | Biblioteca Digital do IPB |
| Resumo: | This work is part of the ON-SURF project, which is involved in surface engineering in manufacturing processes such as metal stamping and plastic injection. On this matter, ON-SURF explores surface optimization procedures, aiming to improve the cost-benefit of the molds and the quality control of the produced parts. To this end, a data acquisition system was created to monitor the pressure and temperature of these surfaces, meeting the requirements of modularity and scalability, so that it can be expanded or contracted depending on the number of sensors required. This project consists of three different modules, in which one is responsible for the signal conditioning of the sensors, the other module, where the Olimex ESP32-PoE-ISO microcontroller was used, acquires, digitizes and sends this signal to a concentrator through Ethernet, while the last module, which was implemented in a Raspberry Pi and is the focus of this dissertation, is the data concentrator, responsible for gathering, processing and storing the data in a database. Some robustness tests were performed to verify the system. It was concluded that each conditioning module can support up to eight sensors simultaneously, with a sampling rate for 1kHz data acquisition, transferring to the concentrator using UDP protocol, with virtually zero packet losses, at a speed of 2000 packets per second. |
|---|