The underlying architecture of Iotsnap
Iotsnap was born in order to answer every need in the IoT field, however, in this page we will proceede to illustrate its architecture by referring to the manufacturing sector, where the main objective is to bring together the material and digital contexts.
In Industry 4.0, raw data from machines can gain business value once it is translated into a graphical dashboard that can be easily interpreted, allowing knowledge to be extracted from industrial devices. Let’s imagine the path of the data through the architecture of the Iotsnap platform.
It starts with the extraction of raw data from the sensors of industrial machinery, through IoT gateways: the data can be acquired from different production plants and from different geographical areas (and in compliance with the corresponding local regulations). The data is stored in Time Series mode on a container-based Cloud, to allow sharing and accessibility at any time and from any device.
Through Artificial Intelligence and Machine Learning, the archived data is displayed in an IoT dashboard, i.e. an interactive dashboard from which it is possible to monitor the progress of the system at a glance and determine the efficiency of the entire production plant . The IoT dashboard, accessible from any device, allows you to carry out predictive analysis and remote assistance, thanks to the integration with chatbots and augmented reality.
The platform can also be integrated with management application systems such as ERP, MES, PLM and MOM, whose data can be integrated and displayed in the IoT dashboard for an even more complete view of the production plant and the information connected to customers.
Iotsnap is also available in multi-customer-cloud: the platform can communicate with different instances in different structures and with individual machines installed, to allow different customers to choose what to share with other users, when and for what purpose.