IoT-Based UPS Monitoring System Using MQTT Protocols

Alqinsi, Padlan; Edward, Ian Joseph Matheus; Ismail, Nanang; Darmalaksana, Wahyudin

doi:10.1109/icwt.2018.8527815

Cited by 29 publications

(10 citation statements)

References 6 publications

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“…The data collected were majorly to control the Solar PV module wipers to prevent dust build-up and for controlling the solar tracker to get Optimal and sunlight. Authors in [12] employed a voltage sensor to measure the input and output voltage of an un-interrupted power supply. The accuracy of the measurement was found to be comparable to that of a clamp meter.…”

Section: Related Workmentioning

confidence: 99%

Cellular Internet of Things Based Power Monitoring System for Networking Devices

Agbolade¹,

Sunmola²

2021

EJECE

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Voltage and frequency stability is critical for network devices like routers, switches and radios. Prolonged exposure of these devices to extreme voltage or frequency makes them susceptible to damage. Since these devices are usually operated round the clock and oftentimes in remote places, it becomes necessary to monitor the quality of the power delivered to them. In this work, we developed a power monitoring system to provide remote access to the supply voltage and frequency of network equipment powered by an uninterrupted power supply system. We develop an instrumentation system to monitor the grid frequency, grid voltage, as well as the UPSS output voltage. We equally present a complete system that processes sensors’ data and make them available to a remote server over a cellular network with a robust email and SMS notification system. Sensors data collated over one month show consistent results with correlation of 0.95 with an overall system power consumption of 83 mA.

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Section: Related Workmentioning

confidence: 99%

Cellular Internet of Things Based Power Monitoring System for Networking Devices

Agbolade¹,

Sunmola²

2021

EJECE

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“…These are electro chemical sensors that generally possess a small heater inside the sensors which is sensitive in detecting gases of different ranges according to their concentration in the outdoor environment and the recorded values of sensors are noticed in NodeMCU. This firmware utilizes MQTT protocol [6].…”

Section: Architecturementioning

confidence: 99%

“…NODEMCU AND MQTT PROTOCOLThe uniqueness of employing IOT in Machine to machine communication(M2M) is that there are various gas sensors present and a single storing device is present. MQTT[6]…”

mentioning

confidence: 99%

Novel Computational and Forecasting Strategy For Environment Quality Monitoring using Deep Learning

Shakeela*¹,

Kiran²,

Kumar³

et al. 2019

IJRTE

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Air pollution is the serious issue that one must think about and is caused by harmful gases present in the atmosphere such as Carbon Dioxide, Carbon Monoxide, Sulphur Dioxide etc. since level of pollution varies from one place to another. According to WHO (World Health Organization) air pollution is the fifth major cause for deaths after heart diseases, high blood pressure, poor nutrition and tobacco smoking. Monitoring and detection of the amount of harmful gases over particular area can reduce the chances of endanger to human beings and warn to take precautionary measures and do necessary remedies to regulate the emission of poisonous atmospheric gases. The present paper deals with the monitoring of the disastrous gases using gas sensor which is embedded with NodeMCU. The observed levels sent through internet to cloud platforms using MQTT protocols. The data is stored in the ThingSpeak cloud which can be further analyzed from anywhere in world. Data is processed using Machine learning (ML) algorithm called Long Short-Term Memory Network (LSTM) which is the state-of-theart technique in the field of data analytics and majorly used for data forecasting.

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“…Também são analisadas as possíveis aplicações para redes de baixo custo e os méritos da tecnologia utilizada. Alqinsi et al constroem um sistema de monitoramento através do protocolo MQTT (Message Queue Telemetry Transport) [Alqinsi et al, 2018]. Saha e Majumdar desenvolvem um sistema de monitoramento para centros de dados baseado em nuvem [Saha e Majumdar, 2017].…”

Section: Introductionunclassified

“…Este artigo propõe o LabSensing, um sistema para sensoriamento de dados em laboratórios científicos complementar a trabalhos anteriores [Kodali e Gorantla, 2017, Alqinsi et al, 2018, Saha e Majumdar, 2017. O LabSensing reúne conceitos de IoT e de Computação na Borda e os aplica a sistemas implementados em redes locais.…”

Section: Introductionunclassified

LabSensing: Um Sistema de Sensoriamento para Laboratórios Científicos com Computação Inteligente nas Bordas

Bochie

Campista

2019

Anais Estendidos Do XXXVII Simpósio Brasileiro De Redes De Computadores E Sistemas Distribuídos (SBRC Estendido 2019)

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Este trabalho propõe o LabSensing, um sistema de sensoriamento distribuído para monitoramento de laboratórios científicos. O LabSensing utiliza uma estratégia de comunicação assíncrona para transferência de dados e reduz o tráfego injetado na rede através de políticas de eliminação de dados redundantes nas bordas. As motivações técnicas que levaram à escolha das ferramentas, assim como o processo e desenvolvimento do sistema a partir da arquitetura proposta são discutidos. Os resultados experimentais mostram o funcionamentodo sistema e a efetividade obtida com a computação nas bordas para redução da carga de dados na rede.

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IoT-Based UPS Monitoring System Using MQTT Protocols

Cited by 29 publications

References 6 publications

Cellular Internet of Things Based Power Monitoring System for Networking Devices

Cellular Internet of Things Based Power Monitoring System for Networking Devices

Novel Computational and Forecasting Strategy For Environment Quality Monitoring using Deep Learning

LabSensing: Um Sistema de Sensoriamento para Laboratórios Científicos com Computação Inteligente nas Bordas

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