Development of a mobile online solar powered smart weather and air quality station | |
| Author | Karthikeya, Nandanavanam VBS Sudarsan |
| Call Number | AIT Thesis no.RS-18-20 |
| Subject(s) | Climatic changes--Thailand Weather forecasting--Data processing Global Positioning System Global system for mobile communications |
| Note | A thesis submitted in partial fulfillment of the requirements for the degree of Master of Science in Remote Sensing and Geographic Information System, School of Engineering and Technology |
| Publisher | Asian Institute of Technology |
| Abstract | Weather is one of the most exciting phenomena among various researches done across the globe, as it directly impacts our daily life at the local level and governs the climate change at the global scale. In the recent years, the need for online weather monitoring systems has increased, and these weather monitoring systems give information about weather data, climate variability and alerts for various parameters such as temperature, rainfall, pressure, humidity, wind speed and direction. Most of the weather stations calculate the weather data and climate change data only at that area where the weather station is located. The Weather station and Air quality (W &AQ) built in this research work are assembled with sensors such as BMP280, DTH22, PM2.5, Anemometer, rain gauge, GPS module, GSM module and gives the weather data. By using the GPS module, the longitude and latitude data can be obtained, and with that data, the user can get the location of that weather station. By using the GPRS/GSM modules, weather data is transferred to the server in near real time and corresponding. This server also allows the user to add widgets, which gives the climatic variability information, on the home screen of their smartphones. After comparing base station parameters value data and TMD data, the correlation coefficient of 10 days of data obtained correlation values for the parameters like Temperature, Pressure, Humidity and Rain value like 0.9015, 0.9311, 0.9169 and 0.975 per cent values are matched while comparing with the TMD data and W &AQ. Comparing day and night times during the week, in the daytime temperature, humidity, heat index and wind speed are higher on an average whereas during night times pressure and PM2.5 are higher. The W &AQ is low cost efficient comparatively with all the other station's sensors are advanced, and all the weather stations are static base weather station in this research is dynamic it can carry anywhere and by using GPS sensor can get the location of the base station. The W &AQ has the latest version sensors and they are cost efficient, a sensor code is combined and written as on sensor code as per the Arduino IDE format and then uploaded to the Arduino microcontroller. W &AQ has the GSM and GPS modules by using those modules W &AQ can use dynamically not like any other weather stations. Other weather stations are static those stations cannot move and take anywhere the user want. By using GSM module, the sensor data is pushed to the web server and displayed in the mobile application and by using GPS module user can get the Latitude and Longitude data which the user can search in google maps with those coordinates. In this thesis study by using the W&AQ Weekdays and Weekends weather data is compared and Day and night weather data of all the parameters are compared. The coefficient correlation between W &AQ data with TMD data. When W &AQ compared with other weather station that is existed in every detailed aspect W &AQ is cost-efficient and has the more accuracy till now no other weather station are interfaced with GPS module and PM 2.5. This W&AQ is useful for agricultural, health department and every human wants this type of W &AQ for their use to know when the climate change suddenly they can know by W&AQ. It has an Alert system by setting up the Upper threshold and Lower threshold in the widgets if the reading is greater or less than those thresholds user get the alert notification for that parameter. The W &AQ is installed above RS&GIS department in AIT and it is pushing the sensor data to the web server and displaying on Smartphone mobile application. Limitations of this W &AQ are GPS module relates to another Arduino microcontroller not along with the other sensors are interfaced with another Arduino microcontroller. GSM module is also used for GPS module to get the data through the server, but the major limitation is this two Arduino microcontroller cannot use GSM module at once it can be used alternatively, for switching the one Arduino to an Arduino micro controller it takes about 2 to 5 minutes to get the data. By this thesis study on which days the weather parameters are higher and with time, they are higher than has been calculated in the Thesis study. |
| Year | 2018 |
| Type | Thesis |
| School | School of Engineering and Technology |
| Department | Department of Information and Communications Technologies (DICT) |
| Academic Program/FoS | Remote Sensing (RS) |
| Chairperson(s) | Tripathi, Nitin Kumar |
| Examination Committee(s) | Pal, Indrajit ;Miyazaki, Hiroyuki |
| Scholarship Donor(s) | AIT Fellowship |
| Degree | Thesis (M. Eng.) - Asian Institute of Technology, 2018 |