Trazador inteligente en tiempo real para productos perecederos

  1. Garrido López, Javier 1
  2. Jiménez Buendía, Manuel 1
  3. Toledo Moreo, Ana 1
  4. Soto Vallés, Fulgencio
  5. Torres Sánchez, Roque 1
  1. 1 Universidad Politécnica de Cartagena
    info

    Universidad Politécnica de Cartagena

    Cartagena, España

    ROR https://ror.org/02k5kx966

Journal:
Jornadas de Automática
  1. Cruz Martín, Ana María (coord.)
  2. Arévalo Espejo, V. (coord.)
  3. Fernández Lozano, Juan Jesús (coord.)

ISSN: 3045-4093

Year of publication: 2024

Issue: 45

Type: Article

DOI: 10.17979/JA-CEA.2024.45.10860 DIALNET GOOGLE SCHOLAR lock_openOpen access editor

Abstract

During postharvest and before consumption, perishable products may show quality losses due to poor storage conditions. The monitoring of key environmental conditions during this period can be used to predict these losses. In this project, the design, construction and testing of an autonomous, portable and compact datalogger for real-time wireless monitoring of environmental parameters during the supply chain is presented. The tracker incorporates in a single device sensors to measure temperature, relative humidity, CO2 concentration, luminosity and vibrations, as well as wireless communication capability for data transmission, which simplifies existing solutions that employ more than one device and are cost prohibitive. Strategies have been employed to optimize energy consumption, achieving one month of autonomy to cover entire periods of food transport. The datalogger uses NB-IoT and relies on other wireless technologies in case it is not available to send data to a cloud platform. Autonomy tests, comparison with other commercial dataloggers and satisfactory field tests have been performed to validate its performance and real-time data transmission during a refrigerated transport.

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Data source: Dialnet