Low cost embedded weather station with intelligent system

Shaout, Adnan; Li, Yulong; Zhou, Mohan; Awad, S.S.

doi:10.1109/icenco.2014.7050439

Cited by 17 publications

(7 citation statements)

References 13 publications

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“…Various weather station with forecasting capabilities are nowadays available on the market or have been developed as research activities. In [29], an Arduino based weather station is presented. The system collects data from various weather sensors processing them using a neural network.…”

Section: Embedded Weather Forecasting Systemsmentioning

confidence: 99%

PortWeather: A Lightweight Onboard Solution for Real-Time Weather Prediction

Karvelis

Mazzei

Biviano

et al. 2020

Sensors

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Maritime journeys significantly depend on weather conditions, and so meteorology has always had a key role in maritime businesses. Nowadays, the new era of innovative machine learning approaches along with the availability of a wide range of sensors and microcontrollers creates increasing perspectives for providing on-board reliable short-range forecasting of main meteorological variables. The main goal of this study is to propose a lightweight on-board solution for real-time weather prediction. The system is composed of a commercial weather station integrated with an industrial IOT-edge data processing module that computes the wind direction and speed forecasts without the need of an Internet connection. A regression machine learning algorithm was chosen so as to require the smallest amount of resources (memory, CPU) and be able to run in a microcontroller. The algorithm has been designed and coded following specific conditions and specifications. The system has been tested on real weather data gathered from static weather stations and onboard during a test trip. The efficiency of the system has been proven through various error metrics.

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Section: Embedded Weather Forecasting Systemsmentioning

confidence: 99%

PortWeather: A Lightweight Onboard Solution for Real-Time Weather Prediction

Karvelis

Mazzei

Biviano

et al. 2020

Sensors

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“…En el trabajo de (Mangundu, Mateus, Zodi, & Johson, 2018) se desarrolló un sistema de monitoreo de lluvia utilizando redes de sensores inalámbricos, las mediciones son enviadas a un servidor web público a través del Servicio General de Radio por Paquetes (GPRS). (Shaout, Li, Zhou, & Awad, 2015) presenta un diseño integrado de una estación meteorológica de bajo costo, con la medición de tres parámetros climáticos; velocidad del viento, dirección del viento y la temperatura. Los parámetros medidos se utilizan para medir la temperatura del viento y el índice de apósito mediante el cálculo y un sistema inteligente incorporado.…”

Section: B Estaciones De Monitoreo Basadas En Iotunclassified

Propuesta de una Plataforma de Bajo Costo Basada en Internet de las Cosas para Agricultura Inteligente

et al. 2020

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La agricultura tradicional se ve afectada en rendimiento y calidad por diferentes factores ambientales externos. Para enfrentar este problema se vuelve necesaria la innovación tecnológica, permitiendo de esta manera, optimizar recursos invertidos en los cultivos, para volverlos más productivos y rentables. Una de las alternativas de innovación para el sector agrícola es la implementación de Internet de las Cosas (IoT). Es así que este trabajo propone la implementación de una solución de hardware y software de bajo costo, que permita almacenar y analizar datos ambientales de los cultivos de manera centralizada y remota, para posteriormente realizar pronósticos con mayor precisión en indicadores ambientales como la humedad y la temperatura. Para el desarrollo de esta propuesta se utilizaron microcontroladores NodeMCU ESP8266, sensores de temperatura/humedad AM2302, sensores de lluvia MH-RD, y se desarrolló un dashboard para analizar los datos en tiempo real utilizando la herramienta node-red. Para que el sistema interactúe con los sensores remotos, se usó una conexión inalámbrica wifi por medio del protocolo MQTT. Las pruebas de esta propuesta se las realizaron en las parcelas agrícolas de la Universidad de las Fuerzas Armadas ESPE Sede Santo Domingo. Los resultados obtenidos mediante la operación del prototipo tuvieron mayor precisión en comparación de un termohigrómetro y la aplicación google weather.

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“…Otros desarrollos similares basan su funcionamiento en dispositivos microcontrolados, implementando estaciones meteorológicas de bajo costo como se explica en [7] y [8], en los cuales se integran sensores comerciales de la línea estudiantil para la medición de variables, y donde además se utilizan sistemas de comunicación inalámbrica, como los mostrados en [9] y [10] donde por medio de enlaces de radio y celular, se transmite la información adquirida a locaciones remotas con el fin de almacenarla y analizarla posteriormente.…”

Section: Estado Del Arteunclassified

Prototype of a System for Acquisition, Transmission and Visualization of Hydrometeorological Data Based on Raspberry Pi

Pérez¹,

Vargas²

2018

Proceedings of the 16th LACCEI International Multi-Conference for Engineering, Education, and Technology: “Innovation in Educat

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This document describes the implementation of the prototype of an acquisition, transmission and visualization system for hydrometeorological data, based on a single board computer (Raspberry Pi 2 Model B).The system includes 8 analog inputs, 2 digital inputs and 1 serial input with SDI-12 protocol. The information obtained from the sensors is acquired and stored in a local database. The measured data is displayed on a touch screen by means of a graphical interface for the configuration of parameters, management of the database, visualization of images and analysis of hydrometeorological data. According to a periodic condition defined by the user, the information is transmitted wirelessly to Hydras3, the national visualization system used in Colombia by the "Instituto de Hidrología Meteorología y Estudios Ambientales (IDEAM)". This is specialized software used for experts to analysis in the area of hydrology and meteorology. Additionally, the system integrates a camera that allows the capture and storage of images used to record different types of atmospheric phenomena, clouds, and climate changes such as melting or hydrological variables such as river levels and lakes.

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Low cost embedded weather station with intelligent system

Cited by 17 publications

References 13 publications

PortWeather: A Lightweight Onboard Solution for Real-Time Weather Prediction

PortWeather: A Lightweight Onboard Solution for Real-Time Weather Prediction

Propuesta de una Plataforma de Bajo Costo Basada en Internet de las Cosas para Agricultura Inteligente

Prototype of a System for Acquisition, Transmission and Visualization of Hydrometeorological Data Based on Raspberry Pi

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