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Weather Monitoring System using IOT

Weather Monitoring System

Price : 10

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Course Duration
Approx 10

Course Price
₹ 10

Course Level

Course Content

 

In IoT enabled weather monitoring system project, NODMCU measures 4 weather parameters using respective 4 sensors. These sensors are temperature sensor, humidity sensor, light sensor and rain level sensor. These 4 sensors are directly connected to NODMCU since it has an inbuilt Analog to digital converter. NODMCU calculates and displays these weather parameters on an app display. Then it sends these parameters to the Internet using IOT techniques. The process of sending data to the internet using Wi-Fi is repeated after constant time intervals. Then the user needs to visit a particular app to view this data. The project connects and stores the data on a web server. Thus the user gets Live reporting of weather conditions. Internet connectivity or Internet connection with Wi-Fi is compulsory in this IOT weather monitoring project.

 

 

Weather

 

The above is our proposed block diagram for weather monitoring system. We are using NODMCU LoLin as controller to control all the sensors and actuators. We are using DHT11 sensor to detect temperature and humidity. The BMP180 sensor is used to detect pressure. The MQ135 gas sensor is used to detect air quality. In order know detect whether its raining or not we used rain drop sensor. The NODMCU LoLin controller has inbuilt wifi and which is used to send all the data to the blynk server. We can monitor this system through blynk in any android phone and where we can see all the sensors data.

1.     NODMCU ESP8266

2.     Air Quality Sensor (MQ-135)

3.     DHT11( Temperature & Humidity Sensor)

4.     BMP 180 (Pressure Sensor)

5.     Rain  Drop Sensor

6.     Jumper Wires

7.     Bread Board (170 Points)

8.     5V DC Adapter

IOT weather monitoring system project using NODMCU is fully automated. It does not require any human attention. You can get a prior alert of the weather conditions. Suppose you are planning to visit a place and you want to know the weather parameters over that place, then you can just visit a website IOT portal. Future enhancements to this IOT project. By keeping the weather station in the environment for monitoring enables self protection (i.e., smart environment) to the environment. To implement this need to use the sensor devices in the environment for collecting the data and analysis. By using sensor devices in the environment, we can bring the environment into real life. Then the collected data and analysis results will be available to the user through the Wi-Fi. The smart way to monitor environment an efficient, low cost embedded system is presented in this project. It also sent the sensor parameters to the cloud. This data will be helpful for future analysis and it can be easily shared to other users also

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