Sistema de Medição de Nível por Ultrassom baseado na Máxima Verossimilhança e Ferramentas de IoT

  • Alan R. D. do Nascimento Departamento de Engenharia Elétrica, Universidade Federal da Paraíba, PB
  • Lucas D. de Oliveira Departamento de Engenharia Elétrica, Universidade Federal da Paraíba, PB
  • Juan M. M. Villanueva Departamento de Engenharia Elétrica, Universidade Federal da Paraíba, PB
  • José H. B. da Silva Departamento de Engenharia Elétrica, Universidade Federal da Paraíba, PB
  • João S. da S. Junior Departamento de Engenharia Elétrica, Universidade Federal da Paraíba, PB
Keywords: Level Measurement, Maximum Likelihood, Ultrasonic Sensor, Flight time, Data Fusion, Internet of Things, IoT

Abstract

Tank level measurement is extremely important for the correct functioning of hydraulic systems. Generally, the ease of implementation combined with the costs involved are prioritized, which leads to the installation of a single sensor. However, this can decrease the reliability of the results and make the system dependent on the good functioning and durability of the sensor, generating frequent maintenance and recalibration expenses. In this sense, a solution consists of using multiple redundant sensors, enabling the use of fault detection techniques and data fusion for a more accurate estimation. In this article, an ultrasound level measurement system and data fusion based on Maximum Likelihood is presented, together with online supervisory monitoring. In this way, the process of construction and integration of hardware and software is described, as well as its experimental results and cost survey.
Published
2022-10-19
Section
Articles