Humidity, Temperature,Wind speed and Pressure are four basic parameters to build any Weather Station and to measure environmental conditions and through Humidity,temperature,Wind speed and pressure we can easily find the fog and frost which have a big impact or affect on garden plants. Th
Weather Station
Humidity, Temperature,Wind speed and Pressure are four basic parameters to build any Weather Station and to measure environmental conditions and through Humidity,temperature,Wind speed and pressure we can easily find the fog and frost which have a big impact or affect on garden plants. This IoT based Project aims to show the current Humidity, Temperature,Wind speed and Pressure parameters on the LCD as well on the Internet server using Raspberry Pi, which makes it a Raspberry Pi Weather Station.
We have used DHT11 Humidity & temperature sensor for sensing the temperature and BM180 Pressure sensor module for measuring barometric pressure and Anomometer to find the wind speed. This Celsius scale Thermometer and percentage scale Humidity meter displays the ambient temperature and humidity through a LCD display and barometric pressure is displayed in millibar or hPa (hectopascal).
The aim of this project is to create an online weather system which enables a user to check real-time weather parameters of a place anytime and anywhere with just a few buttons click. In this project, a weather station will be built to collect weather parameters.Through this we can easily find the fog and frost which have a great imapct on green plants.Our main objective is to protect the green houses,Poultry Farms and Agriculture farm houses from unwanted weather,temperature,Humidity to achieve our goals because as we know air pressure,temperature and humidity have a greater impact on these places if these things are not to our according then these components have a bad imapct on these places.
It is an IoT based project which uses 3 sensors name as BMP180,DH11 and Anemometer and a raspberry pi and all these are connected with each other through wires .DH 11 calculate humidity and temperatureand BMP180 calculate Atmospheric pressure where Anemometer calculate the wind speed all these calculate their own part and sent to raspberry pi through wires and we know an LCD also connected to Raspberry and if we want to see Humidity,pressure temperature and wind speed and further frost,fog we can easily see it on LCD display.So, we can easily implement it on paultry farms, Agriculture Farm houses,Green houses to see Humidity temperature, air pressure,,wind speed and further fog and frost.fog and frost can easily be find through the relationship between humidity and Wind speed.we can set the values of fog and frost on Raspberry to find out the fog and frost so that we can find it easily.
As we know that it is a weather station which can easily find the Humidity,Temperature,Air pressure and wind speed which have great imapct on our Agriculture Farm Houses,Poultry Farms,Data centers and green houses etc.Each factor have its own impact on our society or places mentioned privous such as Agriculture farm houses and Poultry Farms need accurate temperature,Air pressure or humidity which is beneficial for their products means increase or decrease in humidity and Wind speed cause fog,frost,mist ets in these places so that if we know the percentage of humidity,temperature,air pressure and wind speed so, we can easily control it that is a main benifit of this project.
We use Raspberry Pi,DH11 sensor,BMP 180 sensor and Anemometer sensor to identify the Humidity,Temperature,Air Pressure and Wind speed and these sensors are connected with Rasberry Pi through wires.Each sensor have its own work such as DH11 sensor calculate humidity and temperature and BMP 180 calculate Atmospheric pressure and Anemometer measures the wind speed.As we know these are connected with Raspberry Pi through wires and an LCD also connected to Raspberry so sensors calculates it's task and sent to Raspberry through wire and all these values are display on LCD which is connected with Raspberry
| Item Name | Type | No. of Units | Per Unit Cost (in Rs) | Total (in Rs) |
|---|---|---|---|---|
| Raspberry Pi. | Equipment | 1 | 15000 | 15000 |
| DH11 sensor | Equipment | 2 | 1000 | 2000 |
| BMP180 sensor | Equipment | 2 | 1000 | 2000 |
| Anemometer | Equipment | 1 | 15000 | 15000 |
| Wires | Equipment | 350 | 20 | 7000 |
| LED Display | Equipment | 1 | 9000 | 9000 |
| Total in (Rs) | 50000 |
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