Banca de QUALIFICAÇÃO: MOHAMAD SADEQUE ABOU ALI

Uma banca de QUALIFICAÇÃO de MESTRADO foi cadastrada pelo programa.
STUDENT : MOHAMAD SADEQUE ABOU ALI
DATE: 29/08/2025
TIME: 10:30
LOCAL: GOOGLE MEET
TITLE:

Device for Alarm Detection in Onshore Wells Using the Internet of Things Paradigm

KEY WORDS:

LoRa; Mesh; IoT;Industry.

PAGES: 55
BIG AREA: Ciências Exatas e da Terra
AREA: Ciência da Computação
SUBÁREA: Sistemas de Computação
SPECIALTY: Hardware
SUMMARY:

The evolution of industrial automation has been marked by significant advances in process control and monitoring, with emphasis on the use of Programmable Logic Controllers (PLCs) and supervisory systems. However, in remote industrial environments, such as onshore oil wells, challenges remain related to communication infrastructure and the high costs of deploying and maintaining conventional technologies. The presence of legacy systems, limitations in cellular network coverage, and the economic infeasibility of installing wired solutions make continuous and efficient monitoring a complex task. In this context, this work proposes the development of an embedded device, based on Internet of Things (IoT) concepts, capable of integrating with industrial equipment using protocols such as Modbus, performing local signal processing, and transmitting alarms through a LoRa wireless mesh network. The solution aims to expand monitoring coverage, reduce operational costs, and increase the resilience of the communication system, providing a viable and low-cost alternative for industrial applications in hard-to-reach regions. The proposed design includes the use of an ESP32 microcontroller from Espressif and a LoRaMesh EndDevice communication module from Radioenge, in addition to other components intended to meet the signal and equipment requirements of industrial environments, as well as a battery-powered supply set to provide autonomy to the device. Part of this proposal has been tested in work discussed throughout the text and represents the current stage of development. A distance test was conducted between two nodes, measuring signal strength (RSSI) and signal-to-noise ratio (SNR) to assess communication performance under different LoRa parameter configurations. The findings of this work have the potential to deliver significant benefits to industry, enhancing safety and optimizing remote process monitoring.

COMMITTEE MEMBERS:
Presidente - 3374361 - JEAN MARIO MOREIRA DE LIMA
Interno - 2668551 - ANDRE MORAIS GURGEL
Externo à Instituição - ALCEMY GABRIEL VITOR SEVERINO - IFRN