Data Extraction in Collaborative Robots

Data extraction in industrial environments is essential to understand equipment performance and make informed decisions. Collaborative robots, or cobots, continuously generate information about their operation. Collecting and analyzing this data allows identifying improvement opportunities and anticipating potential issues.

The data provided by collaborative robots are essential for:

Anticipate failures through predictive maintenance
Adjust processes to optimize cycle times
Reduce unplanned downtime
Improve operator safety

Having reliable data enables more efficient maintenance and greater production continuity, providing accurate information for performance analysis.

DataCollector as a data extraction tool

Data Collector is an application developed to integrate with the Siemens Industrial Edge. . It facilitates data extraction from Universal Robots collaborative robots using the RTDE protocol.

Its main features include:

Capture of all available robot variables
Simple configuration of the connection via MQTT to local or cloud brokers
Flexible output format options: Edge Databus (for direct integration with other Siemens applications) or standard JSON (for general use).

Practical applications of Data Collector include:

Overload prevention through continuous monitoring of applied forces.
Efficiency analysis by observing movement sequences and execution times.
Integration with data analysis tools to gain a broader view of the production process.

Data extraction from collaborative robots provides valuable information for process optimization and efficient equipment maintenance. Tools like Data Collector facilitate this process, making information accessible and enabling data-driven decision-making.

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