Low-cost Raspberry Pi-based Remote Laboratory for IoT, LoRa and Python']Python Programming Education

被引：0
|
作者：
Garzon Soto, Jose [1 ]
Gaona Pena, Jason [1 ]
Alvarez Ariza, Jonathan [1 ]
Gonzalez Gil, Sergio [1 ]
机构：
[1] Corp Univ Minuto Dios UNIMINUTO, Dept Technol Elect, Bogota, Colombia
来源：
2024 XVI CONGRESO DE TECNOLOGIA, APRENDIZAJE Y ENSENANZA DE LA ELECTRONICA, TAEE 2024 | 2024年
关键词：
Remote laboratory; IoT; LoRa; !text type='python']python[!/text; Raspberry Pi;
D O I：
10.1109/TAEE59541.2024.10604947
中图分类号：
G40 [教育学];
学科分类号：
040101 ; 120403 ;
摘要：
This paper presents a low-cost Raspberry Pi-based remote lab for learning concepts related to the Internet of Things (IoT), LoRa protocol and Python programming. To interact with the lab, a user interface has been developed in which students can program using Python language instructions directly or through graphical blocks for those who are new to the mentioned topics and programming. The laboratory has devices such as temperature, humidity and ambient light sensor, 3D printing robotic arm, LoRa module, among others, with which students can interact and experiment. The laboratory has been used by 41 first semester students of systems engineering and has the potential to be an active learning tool in the indicated topics.
引用
收藏
页数：7
相关论文
共 47 条
  • [21] Low-Cost Sensor for Lycopene Content Measurement in Tomato Based on Raspberry Pi 4
    Villasenor-Aguilar, Marcos-Jesus
    Padilla-Medina, Jose-Alfredo
    Prado-Olivarez, Juan
    Botello-Alvarez, Jose-Erinque
    Bravo-Sanchez, Micael-Gerardo
    Barranco-Gutierrez, Alejandro-Israel
    PLANTS-BASEL, 2023, 12 (14):
  • [22] A Low-cost Real-time IoT based Air Pollution Monitoring using LoRa
    Walling, Supongmen
    Sengupta, Jayasree
    Das Bit, Sipra
    13TH IEEE INTERNATIONAL CONFERENCE ON ADVANCED NETWORKS AND TELECOMMUNICATION SYSTEMS (IEEE ANTS), 2019,
  • [23] Low-Cost, Open-Source Automation System for Education, with Node-RED and Raspberry Pi
    Degreef, Phaedra
    Van Merode, Dirk
    Tabunshchyk, Galyna
    SMART INDUSTRY & SMART EDUCATION, 2019, 47 : 458 - 465
  • [24] Low-cost Remote Laboratory Concept based on NI myDAQ and NI ELVIS for Electronic Engineering Education
    Klinger, Thomas
    Kreiter, Christian
    Pester, Andreas
    Madritsch, Christian
    PROCEEDINGS OF THE 2020 IEEE GLOBAL ENGINEERING EDUCATION CONFERENCE (EDUCON 2020), 2020, : 106 - 109
  • [25] JarPi: A Low-Cost Raspberry Pi Based Personal Assistant for Small-Scale Fishermen
    Vora, Megh Hitesh
    Bekaroo, Girish
    Santokhee, Aditya
    Juddoo, Suraj
    Roopowa, Divesh
    2017 IEEE 4TH INTERNATIONAL CONFERENCE ON SOFT COMPUTING & MACHINE INTELLIGENCE (ISCMI), 2017, : 159 - 163
  • [26] Low-cost and Unobtrusive Respiratory Condition Monitoring based on Raspberry Pi and Recurrent Neural Network
    Wang, Yunlu
    Hu, Menghan
    Yang, Chaohua
    Li, Na
    Zhang, Jian
    Li, Qingli
    Zhai, Guangtao
    Yang, Simon X.
    2021 IEEE INTERNATIONAL SYMPOSIUM ON CIRCUITS AND SYSTEMS (ISCAS), 2021,
  • [27] Schistoscope: Smartphone versus Raspberry Pi based low-cost diagnostic device for urinary Schistosomiasis
    Diehl, Jan Carel
    Oyibo, Prosper
    Agbana, Temitope
    Jujjavarapu, Satyajith
    Van, G-Young
    Vdovin, Gleb
    Oyibo, Wellington
    2020 IEEE GLOBAL HUMANITARIAN TECHNOLOGY CONFERENCE (GHTC), 2020,
  • [28] A low-cost Raspberry Pi based time domain reflectometer for fault detection in electric fences
    Kiarie, Gabriel
    Wa Maina, Ciira
    Nyachionjeka, Kumbirayi
    IET SCIENCE MEASUREMENT & TECHNOLOGY, 2024, 18 (08) : 399 - 416
  • [29] A Low-Cost IoT Based Buildings Management System (BMS) Using Arduino Mega 2560 And Raspberry Pi 4 For Smart Monitoring and Automation
    Uzair, Muhammad
    Al-Kafrawi, Salah Yacoub
    Al-Janadi, Karam Manaf
    Al-Bulushi, Ibrahim Abdulrahman
    INTERNATIONAL JOURNAL OF ELECTRICAL AND COMPUTER ENGINEERING SYSTEMS, 2022, 13 (03) : 219 - 236
  • [30] Compact, Accurate and Low-cost Hand Tracking System based on LEAP Motion Controllers and Raspberry Pi
    Placidi, Giuseppe
    Di Matteo, Alessandro
    Mignosi, Filippo
    Polsinelli, Matteo
    Spezialetti, Matteo
    PROCEEDINGS OF THE 11TH INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION APPLICATIONS AND METHODS (ICPRAM), 2021, : 652 - 659
12345