
Networked Autonomy: The M2M and C2M Logic for Industries
Not every automated machine fits within a Machine-to-Machine (M2M) communication system. While the presence of a PLC is essential for operation, it is not sufficient on its own. To be
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Not every automated machine fits within a Machine-to-Machine (M2M) communication system. While the presence of a PLC is essential for operation, it is not sufficient on its own. To be
Industrial data architecture is a set of technologies, processes, and standards that organize and manage all types of variables generated in manufacturing environments. Through a well-designed architecture, it is possible
For communication between a manufacturing asset and a data acquisition sensor to be effective and deliver benefits, it is crucial to have an in-depth understanding of the equipment
A study released in 2022 by the National Confederation of Industry (CNI) indicates that 69% of manufacturing companies have already adopted at least one digital technology from a list of
A time series is a sequence of data points, or observations, that are indexed and arranged in chronological order. Typically, these data are collected at successive, equally spaced
In the manufacturing industry, the use of programming codes is essential to automate processes and enable them to operate efficiently at different scales. Within this context, APIs (Application Programming
Retrofit in the manufacturing industry refers to the process of modernizing and updating machinery and equipment that are obsolete or inadequate for current production processes. This may involve
Mass balance analysis is an essential tool in process engineering, used to quantify input losses throughout production systems. Its application allows tracking the behavior of raw materials, products
The integration of Cybersecurity and IoT (Internet of Things) in industries is the main responsible for creating cyber-physical systems. They are formed by the combination of networked physical
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