Big data & analytics.
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Manufacturing Big Data and Industrial Analytics are the specialisations of methods and tools that are used for handling and processing large amounts of data in the manufacturing and Supply Chain Management fields.
Big Data Management Manufacturing includes new Data analytics & Visualization, simulation, and forecasting tools, that are necessary to highlight the information processed in the data and to maximize the effectiveness in decision making.
IoT and BigData are considered, often together, two of the enabling technologies for Industry 4.0 or Enterprise 4.0 thanks to the “Cyber Physical Convergence”. Following a logical “bottom-up” approach, the essential elements of these technologies can be illustrated as follows.
CYBER PHYSICAL SYSTEMThe synergy between IoT and Big Data technologies is one of the foundations of Cyber-Physical Convergence (and of the corresponding Cyber-Physical Production Systems - CPPS). Cyber-Physical Convergence is defined by a circular process (Information Value Loop) between the physical and the cyber world (Internet). Thanks to IoT technologies,...
Internet of things
The miniaturisation of sensing and wireless communication technologies now makes it possible to include devices (embedded systems) for the collection of information in the physical environment and their communication on the network in almost any physical object. Each physical object has (or may have) the capacity to generate information on its state or the state of the physical environment that surrounds it;
The availability of high-capacity extensive pervasive networks (eg. lte, wifi, zigbee, bluetooth) allows for the collection of this information and to connect virtually any physical object on the internet. This allows for, on the one hand, the collection and sharing of data that is generated by the devices embedded in the physical objects, and on the other hand configurate them and also remotely act on the physical objects and their surrounding environment;
Users’ personal devices (smartphones, tablets, wearable objects like smartwatches) can also generate data, then communicate this on the internet and receive remote orders, according to exactly the same pattern;
These three elements together (the pervasiveness of embedded systems, pervasiveness of the networks, the pervaisveness of personal devices that are attached to the internet) constitutes the technological basis of the internet of things.
With the widespread use of IoT devices we are witnessing the so-called “data deluge”, this is the availability of an enormous amount of “raw” data that is generated by the devices in the physical environment.
If on the one hand the presence of such a large quantity of data provides such exceptional opportunities, on the other hand, it becomes even more necessary to couple with technology-specific technologies. These are needed for the management, data integration and the knowledge extraction of the raw data that is generated by IoT devices, commonly known as BigData Analytics (which, in turn, generally require high capacity computing infrastructure to both store and analyse such quantities of data, this is currently provided through cloud storage and computing platforms).