Decisions are easier if you have all the data. That is why we cannot stop obtaining data in more difficult cases, such as machines with old protocols or without a network connection. One of the bases of Industry 4.0 is therefore that these assets form part of this network and be able to access them.
Our work methodology for industrial hardware
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.