Breaking down information silos in industry requires the integration of different protocols and from different eras. And in industry 4.0, it is necessary to adopt the new standards and Open Source tools that allow digitization to be addressed at low cost and reusable over time.
Informatics for supervision
and industrial digitization
Our way of working computing for industrial automation
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.
… dateando
Offering different solutions to each department of a company in the industrial sector
Maintenance
Checklists and planners. Document Management and Instructions. Alarm management. Industrial indicators (MTBF, MTTR)
Operators
Assistant to the worker and Access to instructions. Digitalization and elimination of papers and Excels
Products that we develop in computing for industrial automation
Digitization and Supervision of industrial processes
Industrial SCADA platform, On Premise or in the cloud
dateando
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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