An Implementation Environmental Monitoring Real-time IoT Technology

Fahmi, Nurul; Prayitno, Eko; Musri, Tengku; Supria, Supria; Ananda, Faisal

doi:10.1109/icecet55527.2022.9872654

Cited by 4 publications

(1 citation statement)

References 5 publications

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“…Atualmente, devido às mudanças do clima, a sociedade tem demonstrado maior interesse em buscar dados climáticos para o desenvolvimento de políticas de controle e utilização dos recursos naturais de forma sustentável, visando preservar os recursos naturais finitos para as gerações futuras (SHAMRAT, 2021;FAHMI, 2022). A coleta e análise de dados meteorológicos é de interesse dos mais diversos setores, por ser um tipo de informação indispensável em diversas atividades, os dados climáticos são de suma importância para o atual conceito de desenvolvimento que leva em conta a sustentabilidade ambiental.…”

Section: Importância Da Coleta De Dados Meteorológicos No Ambiente Es...unclassified

Ensino Da Meteorologia Como Prática Interdisciplinar No Ensino Médio

Dill,

Silva,

Lima Junior

et al. 2024

Amor Mundi

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Um grande desafio da atualidade dos educadores é tornar o aprendizado significativo diante da abundância de informações disponíveis online. Diante disso, a interdisciplinaridade surge como uma abordagem atrativa, e a meteorologia se destaca como uma ferramenta eficaz nesse contexto, pois permite a integração de conceitos de física, matemática, química e geografia. Estudos destacam que a coleta de dados meteorológicos surgem como ferramenta facilitadora da prática interdisciplinar escolar no ensino da meteorologia, permitindo a integração de conceitos de física, matemática, química e geografia. Além disso, as estações meteorológicas podem ser consideradas laboratórios a céu aberto, fortalecendo a relação da teoria e da prática e contribuindo para a formação integral do aluno. Essa abordagem facilita discussões sobre qualidade da água, condições climáticas na escola e diferenciação entre clima e tempo. Ao integrar o ensino da meteorologia na educação básica, os alunos desenvolvem habilidades técnicas, relacionam conceitos e compreendem a importância da coleta de dados meteorológicos na pesquisa científica.

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Section: Importância Da Coleta De Dados Meteorológicos No Ambiente Es...unclassified

Ensino Da Meteorologia Como Prática Interdisciplinar No Ensino Médio

Dill,

Silva,

Lima Junior

et al. 2024

Amor Mundi

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Integration of Modbus Ethernet Communication for Real-Time Electrical Power Consumption, Temperature, and Humidity Monitoring System

Le,

Nguyen,

Bui

et al. 2024

Preprint

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Effective management of electrical energy requires monitoring, controlling, and storing parameters gathered from power measurement devices including voltage, current, and power factor. This assessment of the quality of electrical energy is essential for management organizations, power companies, and individual consumers to develop efficient electricity usage plans. In this paper, we propose a hardware implementation for data collection and online communication software integrated with a system for collecting data on consumption of electrical energy. The EM115-Mod CT multifunction industrial meters by the FINECO, the KLEA 220P three-phase multifunction meter by the KLEMSAN, and the ME96SS–ver.B by MITSUBISHI are firstly utilized. Finally, the collected data of voltage, current, electrical consumption, temperature, and humidity can be stored on the SD card and transmitted to the cloud for real-time monitoring on mobile devices facilitated by the ESP-WROOM-32 microcontroller from the Espressif system. The obtained results showed that the temperature and the humidity changed gradually with time and remained within the standard range of temperature and relative humidity.

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Monitoring and Predicting Air Quality with IoT Devices

Banciu,

Florea,

Bogdan

2024

Processes

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The growing concern about air quality and its influence on human health has prompted the development of sophisticated monitoring and forecast systems. This article gives a thorough investigation into forecasting the air quality index (AQI) with an Internet of Things (IoT) device that analyzes temperature, humidity, PM10, and PM2.5 levels. The dataset used for this analysis comprises 5869 data points across six critical parameters essential for accurate air quality prediction. The data from these sensors is sent to the ThingSpeak cloud platform for storage and preliminary analysis. The system forecasts AQI using a TensorFlow-based regression model, delivering real-time insights. The combination of IoT technology and machine learning improves the accuracy and responsiveness of air quality monitoring systems, making it a useful tool for environmental management and public health protection. This work presents comparatively the effectiveness of feedforward neural network models trained with the ‘adam’ and ‘RMSprop’ optimizers over different epochs, as well as the machine learning algorithm random forest with varying numbers of estimators to forecast AQI. The models were trained using both types of regression analysis: linear regression and random forest regression. The findings show that the model achieves a high degree of accuracy, with the predictions closely aligning with the actual AQI values, thus having the potential to significantly reduce the negative health impact associated with poor air quality, protecting public health and alerting users when pollution levels are higher than allowed. Specifically, the random forest model with 100 estimators delivers the best overall performance for both AQI 10 and AQI 2.5, achieving the lowest Mean Absolute Error (MAE) of 0.2785 for AQI 10 and 0.2483 for AQI 2.5. This integration of IoT technology and advanced predictive analysis addresses the significant worldwide issue of air pollution by identifying the pollution hotspots and allowing decision-makers for quick reactions, and the development of effective strategies to reduce pollution sources.

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An Implementation Environmental Monitoring Real-time IoT Technology

Cited by 4 publications

References 5 publications

Ensino Da Meteorologia Como Prática Interdisciplinar No Ensino Médio

Ensino Da Meteorologia Como Prática Interdisciplinar No Ensino Médio

Integration of Modbus Ethernet Communication for Real-Time Electrical Power Consumption, Temperature, and Humidity Monitoring System

Monitoring and Predicting Air Quality with IoT Devices

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