Grupo de I+D+i en procesamiento de señales aplicando a sensores inteligentes

Permanent URI for this communityhttp://48.217.138.120/handle/20.500.12272/8894

Browse

Start date: 2010End date: 2019

Search Results

Now showing 1 - 2 of 2
  • Thumbnail Image
    Item
    Normalizing Transducer Signals: An Overview of a Proposed Standard
    (2015-05-15) Monte, Gustavo Eduardo; Liu, Zheng; Huang, Victor; Abate, Francesco; Pietrosanto, Antonio; Paciello, Vincenzo
    This paper presents an overview of the proposed standard ISO/IEC/IEEE P21451-001 for sensor signals that is currently under development. The IoT, Internet of Things, is a reality. Most of things have sensors embedded without drawing distinction between industrial and consumer products. Things can be easily identified and the protocols that govern the traffic over the nets are well defined. However, what is difficult to define is the information that a thing with sensors should report. Therefore, the objective of this standard is to define a first approach to describe sensor signals, in a way that can be applied to any sensor extracting information from samples. The paper is divided into two main sections. The first one describes the basic algorithms that extract knowledge from samples. The second one shows the internal structure of the working group for normalizing these algorithms and the remaining challenges.
  • Thumbnail Image
    Item
    Smart sensing of systems thermal behavior using low cost infrared cameras
    (2019-12-09) Monte, Gustavo Eduardo; Marasco, Damian; Bufanio, Rubèn; Solorzano, Lucas
    Diagnosis through the analysis of thermal images is widely used and is one of the favorite tools of predictive maintenance. Due to the high cost of infrared cameras, this analysis is carried out through periodic manual inspections reusing the sensor element for several applications. The recent appearance of low-cost infrared cameras has enabled the development of static applications that observe and analyze the thermal behavior of critical systems over time. This work presents a proposal of an intelligent thermal sensor that acquires and processes low resolution images in real time with energy restrictions. The proposed thermal image processing is based on the analysis of local maxima and spatial and temporal gradients centered on these maxima. The standard IEEE 21451-001-2017 was applied used for signal processing. The image acquisition and processing are executed into a 16-bit microcontroller resulting in a compact thermal sensor with low cost and low power consumption and with the ability to understand and classify the thermal evolution of the observed system.