We create IoT solutions with diverse uses, for clients across many industries. But there are a few ingredients that make up every IoT solution from Telenor Connexion. Below, we look at those most basic parts, and consider the factors that shape what an IoT solution looks like and how it functions.
An IOT solution can be divided into six parts: a thing or product that will be connected, a connecting device, connectivity, a platform, an application and the actual result – data from the thing.
The most fundamental piece of an IOT solution is the thing that will be connected. Normally, the thing is already in operation, but once connectivity is added the initial benefits will be savings from reduced maintenance and service needs, increased revenues from new IoT-enabled services and improved offerings based on real end-user data.
The connecting device
Next a device is needed to connect the thing. This is normally a piece of hardware built into, or attached to the thing, enabling a connection to the cloud. The type of connecting device depends on if the thing is stationary or mobile, and what markets the thing will be located in.
Connectivity is what guarantees the access to the thing and connecting device.
The type of connectivity used (mobile networks, Wi-Fi, LAN, and Low Power Wide Area) depends on what the thing will be used for, and how it will be used. Important considerations are security, reliability, cost and scalability.
When the thing is connected and ready to supply data, one needs a platform to collect the data. The data contains the output from the thing. For example, if the thing is a connected truck, the output data would relate to location and performance, including information regarding the connectivity signal strength and firmware versions.
The next step is to actually use the incoming data, which is done in an application.
This is where the analytics and management of the thing takes place. To achieve user friendliness, it is very important to have the end-user in focus when the application is set up.
Finally, the system should deliver data that turns into real customer value to an end user. This places high focus on that the data is analysed and can be integrated into the rest of the organization/ operations in an efficient way.