Now a days many weather reporting applications are available which gives us information for protection about climatic changes that are going to take place by which man can be aware of present and future climatic changes. Most of the weather reporting applications extracts the data from accurate weather system. Here we are building our own weather reporting system which would give us the information about present temperature, humidity, rain etc. We can even set up this in our home and get alerts for time-to-time changes in climate which would help us in planning our daily work easily. It would be helpful for a farmer in this agricultural activity by which he can protect his crops according to climatic changes. It would help in transportation giving information of weather conditions. Internet of things, IoT, as an important part of the new generation of information technology, have developed rapidly both in theory and practice since proposed and derived many applications such as smart home, intelligent environmental monitoring. Things not only liberated a lot of manpower, but also achieved a standardized, automated management. The main aim of this project is to design a smart way of weather monitoring system using cloud storage technology based on wireless Wi-Fi communication and wireless voice alert based on RF technology. The weather parameters are monitored using sensing devices like rain sensor, temperature and humidity sensors. Then the collected data and analysis results will be available to the user through Wi-Fi to the cloud storage and provides thing speak. When the system detects any abnormal condition, it will give the voice alert wirelessly through speaker. The status of the project will display on LCD. This data will be helpful for future references. The smart way to monitor environment this device is an efficient low-cost embedded system.

   

The major building blocks of this project are:

1. Adapter power supply.
2. Raspberry pi4.
3. DHT22 sensor
4. Rain sensor.
5. LCD display.
6. SD Card.
7. RF transmitter, receiver.

Software’s used in the project:

1. Raspbian OS.
2. Python language.
3. Express SCH for Circuit Design.
4. THINGSPEAK CLOUD.

   

   

Block diagram:    

   

   

 

     

 

video: