Show simple item record

dc.contributor.advisor Sudantha BH
dc.contributor.author Kavinda MGA
dc.date.accessioned 2022
dc.date.available 2022
dc.date.issued 2022
dc.identifier.citation Kavinda, 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.uri http://dl.lib.uom.lk/handle/123/20258
dc.description.abstract Weather 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.language.iso en en_US
dc.subject ARDUINO en_US
dc.subject ESP32 en_US
dc.subject WEATHER PREDICTION en_US
dc.subject DATA LOGGING en_US
dc.subject COMPUTER SCIENCE - Dissertation en_US
dc.subject INFORMATION TECHNOLOGY - Dissertation en_US
dc.title Microcontroller - based consumer level weather prediction system en_US
dc.type Thesis-Abstract en_US
dc.identifier.faculty IT en_US
dc.identifier.degree Msc. in Information Technology en_US
dc.identifier.department Department of Information Technology en_US
dc.date.accept 2022
dc.identifier.accno TH4811 en_US


Files in this item

This item appears in the following Collection(s)

Show simple item record