66 resultados para microcontrollers
Resumo:
Building installations of cold water are key parts in any model of housing, are homes or condos. However, these systems are subject to failure, which can range from a leak in a device until faults in the structure of water reservoirs and distribution system. These faults are responsible for great economic and environmental costs. In order to reduce these losses, this work proposes the development of a system able to detect the presence and identify some types of water leaks that may occur. For implementation and testing, consumption model was used in a simulator capable of reproducing a similar behavior to a real model and its consequent failures. The detection of leaks is done based on an expert like model having two detection modules, one active and one passive, which use an array of sensors and actuators (valves) to do the sensing. For testing and implementation has been developed a software capable of coupling the system simulator and detector. From the results it can be seen that the system proposed in this work, as well as functioning satisfactorily, can be easily implemented in microcontrollers or embedded systems due to its simplicity.
Resumo:
This work deals with the specification and the implementation of a protocol for controlling communication between two programmable interface microcontrollers (PIC), using power line communication (PLC), making communication more secure and economically viable. The Protocol was implemented in C language, with reference to some protocols developed for automotive use. A circuit to test the communication between the PLC and the Protocol was also implemented.
Resumo:
In questa tesi viene elaborata un'applicazione ultra-low power (ULP) basata su microcontrollore, per implementare la procedura di controllo di diversi circuiti di un tag RFID. Il tag preso in considerazione è pensato per lavorare in assenza di batteria, da cui la necessita' di ridurre i consumi di potenza. La sua attivazione deve essere inoltre comandata attraverso un'architettura Wake up Radio (WuR), in cui un segnale di controllo radio indirizza e attiva il circuito. Nello specifico, la rete di decodifica dell'indirizzo è stata realizzata mediante il modulo di comunicazione seriale del microcontrollore. Nel Capitolo 1 verrà introdotto il tema dell'Energy Harvesting. Nel Capitolo 2 verrà illustrata l'architettura del sistema nel suo complesso. Nel Capitolo 3 verrà spiegato dettagliatamente il funzionamento del microcontrollore scelto. Il Capitolo 4 sarà dedicato al firmware implementato per svolgere le operazioni fondamentali imputate al micro per i compiti di controllo. Verrà inoltre introdotto il codice VHDL sviluppato per emulare l'output del modulo WuR mediante un FPGA della famiglia Cyclone II. Nel Capitolo 5 verrà presentata una stima dei consumi del microcontrollore in funzione dei parametri di configurazione del sistema. Verrà inoltre effettuato un confronto con un altro microcontrollore che in alcune condizioni potrebbe rappresentare iun'alternativa valida di progetto. Nei Capitoli 6 e 7 saranno descritti possibili sviluppi futuri e conclusioni del progetto. Le specifiche di progetto rilevanti della tesi sono: 1. minimo consumo energetico possibile del microcontrollore ULP 2. elevata rapidità di risposta per la ricezione dei tag, per garantire la ricezione di un numero maggiore possibile di indirizzi (almeno 20 letture al secondo), in un range di tempo limitato 3. generazione di un segnale PWM a 100KHz di frequenza di commutazione con duty cycle 50% su cui basare una modulazione in back-scattering.
Resumo:
Tese (doutorado)—Universidade de Brasília, Instituto de Química, Programa de Pós-Graduação em Química, 2015.
Resumo:
The aim of TinyML is to bring the capability of Machine Learning to ultra-low-power devices, typically under a milliwatt, and with this it breaks the traditional power barrier that prevents the widely distributed machine intelligence. TinyML allows greater reactivity and privacy by conducting inference on the computer and near-sensor while avoiding the energy cost associated with wireless communication, which is far higher at this scale than that of computing. In addition, TinyML’s efficiency makes a class of smart, battery-powered, always-on applications that can revolutionize the collection and processing of data in real time. This emerging field, which is the end of a lot of innovation, is ready to speed up its growth in the coming years. In this thesis, we deploy three model on a microcontroller. For the model, datasets are retrieved from an online repository and are preprocessed as per our requirement. The model is then trained on the split of preprocessed data at its best to get the most accuracy out of it. Later the trained model is converted to C language to make it possible to deploy on the microcontroller. Finally, we take step towards incorporating the model into the microcontroller by implementing and evaluating an interface for the user to utilize the microcontroller’s sensors. In our thesis, we will have 4 chapters. The first will give us an introduction of TinyML. The second chapter will help setup the TinyML Environment. The third chapter will be about a major use of TinyML in Wake Word Detection. The final chapter will deal with Gesture Recognition in TinyML.
Resumo:
The technological enhancement of industrial automation and manufacturing is stricty connected to the innovations of communication technologies. The main impact of the last century is due to the introduction of FieldBus systems. Indeed, they have been fundamental for the lowest levels of the automation hierarchy. Besides factory automation, many processes nowadays would not be feasible without Fieldbus based networks. Indeed, these systems are employed in a large variety of application areas from energy distribution to in-vehicle networking but also in rail-way applications and avionics. In the following document, the main activities executed during the internship in I.M.A. S.p.A. are reported. The objective of the thesis is to develop an EtherCAT (Ethernet Fieldbus) slave integrated with peripherals for motion control applications. The slave is created by exploiting a micro-controller of Renesas Electronics called RX72M. Since, for the specific application the MCU lacks of several components needed for motion control, external devices are employed for developing the project.