Industrial computing has historically evolved more slowly than the general. Our knowledge of industrial protocols and general computing allows us to use the new products based on Open Source that are revolutionizing industrial management, as well as unifying the tower of Babel that companies have become over the years
Our work methodology for industrial computing
Data acquisition ranges from current solutions in the industry, those coming from automata (PLC), dataloggers for telemanagement systems or data acquisition systems (SAD), to the new options in sensors and communications that the IoT brings us. .
Depending on the needs, data storage could be local in the company’s facilities or using the new Cloud options for large amounts of information.
The integration of the different sources will allow us to draw conclusions from the data, achieving a complete vision and ending information silos.
The generated data obtains value when we have unified and contextualized it. Even more so when we relate them to each other directly (ratios) or through data mining techniques that allow us to discover associations and correlations.
The visualization is based on our experience in SCADA supervision systems that allow us to see the status of the facilities in real time, as well as the alarm and historical log.