The Internet of Things (IoT) is a term you are hearing more and more. It refers to the future of the Web, but also of our society in general. If all of this is still very vague for you, here is how you can better understand this type of innovation.
The IoT refers to the interconnections between the internet, objects, places, and various environments. In other words, it is the exchange of information and data between a large number of connected objects and the internet network.
A “connected object” generally has a sensitivity to its environment by means of sensors such as temperature, position, heartbeats, etc. This object is linked to an information display mode, onboard – directly on the object, or remote – via a dashboard displayed on the screen of a computer or tablet. It can also show more or less interactivity with other objects, make “decisions” on its own and manage other objects, whether they are connected or not.
The Concept of IoT
The IoT refers to all the sensors and objects – excluding smartphones and tablets – connected to the internet in order to inform the user of the status of the device to which they are associated. However, the concept is not limited to hardware, it also includes connectivity, as well as software, to complete data analysis on a cloud platform.
The objects are deployed both to the general public, to allow the user to manage their home or their health, and to manufacturers to optimize their business processes.
Thanks to or because of the IoT, a huge amount of data are circulating on the internet and this will continue to grow over the next few years. Indeed, specialists estimate that 150 billion connected devices will be in working order by 2025, therefore our way of life will be even more closely linked to the internet and its connected objects which will be a part of our lives.
The IoT brings together three things and those are objects connected directly to the internet, connections between the devices themselves without human intervention thanks to Wi-Fi, Bluetooth or 4G and smart connected devices, such as smartphones or tablets.
The large amount of data produced by connected objects requires a gigantic big data storage and information processing system. Remote solutions on servers and algorithms receive data from objects to store, analyze, process and automate them.
The outcome is that the IoT refers to all connected devices that exchange, aggregate, and store data on the internet. This network of objects allows their data to be shared through a cloud platform, without human intervention.
As a result of the optimization of interactions between humans and devices and the multiplication of data flows, connected objects offer the possibility of defining the precise needs of an individual, so as to offer a unique good or service.
How does it work?
Obviously, the way the IoT works is extremely technical. Everything works mainly thanks to sensors placed on connected objects which are themselves part of large infrastructures made up of connected devices and various networks.
The sensors capture and collect a large amount of data that passes through a wireless network to an IoT platform. All this data can then be analyzed to get the most out of it and propose appropriate solutions to a given situation.
The IoT works mainly with sensors and connected objects placed in or on physical infrastructures. These sensors release data that will be fed back using a wireless network on IoT platforms. They can be analyzed and enriched to get the most out of them.
These data management and data visualization platforms are the new IoT solutions allowing territories, companies, or even users to analyze data and draw conclusions in order to be able to adopt practices and behaviors.
Take for example a connected thermostat: its sensors measure the temperature, send the data via the internet network to a platform. This analyzes these data and acts by increasing the temperature by operating the boiler.
Indeed, data is a gold mine for IoT, as it is captured and transformed into intelligent data. The purpose of analyzing raw data, temperature, vibration, humidity, etc. is to make them usable.
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