Our approach to the IoT architecture is reflected in the IoT architecture diagram that presents the diagram of an IoT system and explains how it is connected to store, collect, and process data.
Sensing/Actuating: A "thing" is an object equipped with sensors that collect data. The data transferred through the network and the actuators allow things to perform. For example, turn the light on or off, open or close the door, increase or decrease the speed of motor rotation, etc.
Data Acquisition Systems: Although this stage in the IoT architecture still means working near sensors and actuators, Internet getaways and data acquisition systems also appear here. Specifically, the latest sensor network connections and general output, while Internet getaways run through Wi-Fi, wired LANs and perform additional processing.
The importance of this stage is to process a large amount of information collected in the previous stage and reduce it to the optimum size for further analysis. Also, the necessary conversion in terms of time and structure occurs here.
Edge Analytics: During this phase, between the stages of the IoT architecture, the prepared data is transferred to the world of IT. In particular, Edge IT systems perform improved analysis and preprocessing here. For example, it relates to machine learning and visualization technologies. At the same time, additional processing can take place here before the data center entry phase.
Data Center/ Cloud (Analysis, management, and storage of data): The main processes of the last stage of the IoT architecture take place in the data center or in the cloud. Precisely, it allows in-depth processing, as well as a follow-up review for comments. Here, the skills of IT professionals and occupational technology are needed. In other words, the phase already includes the highest-level analytical skills, both in the digital and human world. As a result, data from other sources can be included here to ensure an in-depth analysis.