Microcontroller - based consumer level weather prediction system

dc.contributor.advisorSudantha BH
dc.contributor.authorKavinda MGA
dc.date.accept2022
dc.date.accessioned2022
dc.date.available2022
dc.date.issued2022
dc.description.abstractWeather conditions are important to people in planning their activities. Since weather conditions changed unexpectedly, monitoring weather conditions are very important these days. Weather stations are built to fulfil that purpose. But, if your area is not covered by that kind of weather station, you will not get accurate weather forecasts. Therefore, it can be caused to facing unexpected weather conditions. A system proposed in this paper will collect weather-related data and a live preview of those data can be seen on a display. All the outputs will display in a Nextion Display, which provides a smooth and fast response due to its internal microcontroller. Then those captured data will be logged in to a remote server. Also, this outdoor unit is powered by solar energy as a sustainable energy source. From this unit, temperature, humidity, atmospheric pressure, precipitation, wind speed and direction will be measured. Upcoming weather can be determined using the changes in atmospheric pressure. Based on those data, by using the zambretti algorithm, the upcoming weather condition will be predicted. This weather prediction system will be developed with microcontrollers which come affordable yet more powerful to handle this kind of system. Therefore, weather data will be captured by using Arduino Mega 2560 microcontroller board. Then it will be transmitted wirelessly to the indoor unit that handles the processing of those data, displays predicted data and the data logging to an Adafruit IO Internet of Things (IoT) cloud service. Those tasks will be handled by the ESP32 microcontroller board.en_US
dc.identifier.accnoTH4811en_US
dc.identifier.citationKavinda, M.G.A. (2022). Microcontroller - based consumer level weather prediction system [Master's theses, University of Moratuwa]. Institutional Repository University of Moratuwa. http://dl.lib.uom.lk/handle/123/20258
dc.identifier.degreeMsc. in Information Technologyen_US
dc.identifier.departmentDepartment of Information Technologyen_US
dc.identifier.facultyITen_US
dc.identifier.urihttp://dl.lib.uom.lk/handle/123/20258
dc.language.isoenen_US
dc.subjectARDUINOen_US
dc.subjectESP32en_US
dc.subjectWEATHER PREDICTIONen_US
dc.subjectDATA LOGGINGen_US
dc.subjectCOMPUTER SCIENCE - Dissertationen_US
dc.subjectINFORMATION TECHNOLOGY - Dissertationen_US
dc.titleMicrocontroller - based consumer level weather prediction systemen_US
dc.typeThesis-Abstracten_US

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