Application of Data Fusion Techniques and IoT Tools in an Ultrasonic Level Measurement System

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 costs. In this sense, a solution consists of using multiple redundant sensors enabling the use of fault detection and data fusion techniques for a more accurate estimation. In this article, a low-cost non-invasive ultrasonic level measurement system using data fusion techniques and online supervisory monitoring is presented. In this way, the process of construction and integration of hardware and software is described, as well as its experimental results.