What is the Internet of Things…!
It is a way that helps code and data to be invoked in the real world.
Designing an IoT (Internet of Things) system involves several steps, including selecting the appropriate sensor, microcontroller, and communication methods to collect, process, and transmit data from one point to another point.
First, you’ll need to choose a sensor that can measure the physical phenomenon you’re interested in, such as temperature, humidity, or motion. This is the entry point where real-world activity is measured in the IOT system. There are many different types of sensors available, each with their own advantages and disadvantages. For example, a thermistor is a good choice for measuring temperature, while a PIR sensor can detect motion.
Once you’ve selected a sensor, you’ll need to connect it to a microcontroller such as Arduino. Arduino is a popular open-source platform for building electronics projects. It consists of a microcontroller board and a software development environment that makes it easy to program the board. There are several different versions of Arduino available, including the Arduino Uno, the Arduino Mega, and the Arduino Nano.
The Arduino can be used to collect data from the sensor, process it, and then send it to another device such as a Raspberry Pi using wired or wireless communication methods. For example, you could use an Ethernet shield to connect the Arduino to the internet and send data to a cloud-based storage system, or you could use a wireless module such as a Wi-Fi or Bluetooth module to transmit the data wirelessly. Because Arduino alone can’t do much, it can not handle cache, multi-thread, local storage, freedom to use any latest programing language, etc.
The Raspberry Pi can also be used to validate the data received from the Arduino and send it to the cloud storage system. The Raspberry Pi is a low-cost, credit-card-sized computer that can be used for a variety of projects. It can run a variety of operating systems, including Linux, which makes it a versatile option for IoT projects. and next, it will send data to some cloud storage which can store and back up your data.
Now, Big data and ML algorithms come into the picture. it can query from the cloud, augment, parse data, run analysis, and ML algo for prediction.
summary, to design an IoT system that uses a sensor to collect data from the real world, you’ll need to choose a sensor, connect it to an Arduino microcontroller, and use wired or wireless communication methods to send the data to a Raspberry Pi, which can then validate and send the data to a cloud-based storage system.