Versatile IoT system for Cloud-based sensor monitoring


In this age of automation, the acquisition and monitoring of sensor data is essential to ensure the correct condition and functioning of machines and systems without the need of manual verification. This paper  describes the development, assembling and configuration of a system for sensor data acquisition and Cloud-based monitoring. The acquisition system is versatile, allowing the usage from one to six sensors and the replacement of those with little additions to the code. The monitoring system has versions for PHP and Java both on Portuguese and English language. The collected data is read and processed by a microcontroller board and sent to the Internet by a Raspberry Pi. Then, the monitoring system displays it as charts with several different search modes and options to facilitate and give more accuracy for sensor monitoring. All the software is free and open-source, allowing adaptations to suit the user's needs.


ANDREOLA, A. T.; SENTER, M. J. D.; TODERO, E. L.; CARDOSO, G. Low cost data acquisition system for wind prospecting. In: 2016 12th IEEE International Conference on Industry Applications (INDUSCON). [S.l.: s.n.], 2016. p. 1–6.
CISCO. The Internet of Things. 2011. Disponível em: . Acesso em: 23 jul. 2017.
GALANTE, A. C.; GARCIA, R. F. Sistema de aquisição de dados de sensores de baixo custo baseado
no arduíno. In: Congresso Brasileiro de Agricultura de Precisão. [S.l.: s.n.], 2014. v. 6.
JUCÁ, S. C.; CARVALHO, P. C.; BRITO, F. Sanusb:software educacional para o ensino da tecnologia
de microcontroladores. Ciências & Cognição, v. 14, n. 3, 2009. ISSN 1806-5821. Disponível em:
JUCÁ, S. C. S.; PEREIRA, R. I. S. Aplicações Práticas de Microcontroladores utilizando Software Livre. 1. ed. [S.l.]: Imprima, 2017.
KHERA, N.; SINGH, S.; SHARMA, A.; KUMAR, S. Development of photovoltaic module tracking and web based data acquisition system. In: 2016 2nd International Conference on Applied and Theoretical Computing and Communication Technology (iCATccT). [S.l.: s.n.], 2016. p. 100–103.
MICROCHIP. PIC18F2455/2550/4455/4550 Data Sheet. 2006. Disponível em: "http://ww1.microchip.
com/downloads/en/devicedoc/39632c.pdf". Acesso em: 23 jul. 2017.
MORGAN, J. A Simple Explanation Of ’The Internet Of Things’. 2014. Disponível em: "". Acesso em: 23 jul. 2017.
MUTHA, V. R.; KUMAR, N.; PAREEK, P. Real time standalone data acquisition system for environmental data. In: 2016 IEEE 1st International Conference on Power Electronics, Intelligent Control and Energy Systems (ICPEICES). [S.l.: s.n.], 2016. p. 1–4.
QUEIROZ, T. A. F.; DIAS, D. L.; ARAÚJO, P. H. M.; FIGUEIREDO, R. P.; JUCÁ, S. C. S. Sistema embarcado linux para análise de sensores de temperatura dht11 e lm35. ERIPI 2016, 2016.
SILVA, A. A. M.; COSTA, L. S. 2017. Disponível em: "
AAAXItAk386cTAV8C628sga0a?dl=0". Acesso em: 28 jul. 2017.
______________. 2017. Disponível em: " com/watch?v=j68Pd2bpm3M". Acesso em: 28 jul. 2017.
______________. 2017. Disponível em: "". Acesso em: 28 jul. 2017.
SMAR. Sistemas de Supervisão e Aquisição de Dados. 2017. Disponível em:
"". Acesso em: 23 jul. 2017.
How to Cite
SILVA, Ayrton Alexsander Monteiro et al. Versatile IoT system for Cloud-based sensor monitoring. Journal of Mechatronics Engineering, [S.l.], v. 1, n. 1, p. 2 - 10, apr. 2018. ISSN 2595-3230. Available at: <>. Date accessed: 21 oct. 2020. doi:
Electronics and Photonics