Maintenance management is easier by digitizing it on a single platform that allows us to create checklists, enter data in forms, schedule actions, send messages between users and manage documents with work instructions or machine plans. All this on the same platform in which we visualize the plant and obtain the alarms in real time.
Our work methodology with maintenance teams
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 help the maintenance departments of these sectors
We work for companies in the industrial sector and the integral water cycle, helping them in their work to make it easier and more productive thanks to the digitization and integration of all sources of information.
Industry
- Organize all your work on one platform
- View and evaluate incidents
Remote control of the water cycle
- Viewing the status of stations anytime, anywhere
- Receive alarms by SMS or email, manage alarm thresholds
Products we develop for maintenance departments
Industrial Computing
Document management. Summary of incidents.
Industrial Hardware & IoT
Unification of data and energy consumption
Data management and analytics
Reports with alarm summary
Digitization and Supervision of industrial processes
Industrial indicators: MTBF, MTTR