Our industrial platform is something more than a SCADA since it not only takes care of the functions of all classic SCADA (animations in real time, alarms and historical) but also combines a high treatment of databases and new web technologies to offer a system powerful, versatile and scalable.
Our work methodology for the digitization and supervision of industrial processes
01.
ACQUIRING
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. .
02.
REGISTERING
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.
03.
INTEGRATING
The integration of the different sources will allow us to draw conclusions from the data, achieving a complete vision and ending information silos.
04.
ANALYZING
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.
05.
VISUALIZING
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.
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We develop the digitization and supervision of industrial processes in these sectors
Industry
- Local or complex systems, unifying several factories in distributed systems
- Redundant systems
- Unique integration with databases and programming scripts
Remote control of the water cycle
- Remote station monitoring systems
- Web and mobile
- Integration of PLCs, RTUs and dataloggers from different manufacturers
Departments of your company that we help through the digitization and supervision of industrial processes
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Industrial Computing for the acquisition and unification of all the sources of your company. Decisions are easier if you have all the data.
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