Industrial Robot Noise Visualization by Motion Parameter
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Solution Overview
Problem
Current interfaces for industrial robot development lack the precision and reliability needed to convey noise-related information effectively, leading to a dependency on costly and time-consuming real-world testing.
Innovation Solution
A method and device for providing structured noise emission indications of industrial robots, allowing visualization of noise emissions as a function of robot-motion parameters, enabling better decision-making and reducing the need for real-world testing by harmonizing parameters across interacting subsystems.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional interface methods are used to convey noise information, then the implementation is simple, but the precision and reliability of noise indications are insufficient
Solution Approach 1:
The noise information is segmented by robot-motion parameters, creating separate visualizations for each parameter value. This allows precise noise indications for specific motion conditions while maintaining a structured, manageable interface organization.
Solution Approach 2:
The interface adds a new dimension of organization by structuring noise visualizations along the robot-motion parameter axis. This transforms noise information from a single aggregate value into a multi-dimensional dataset that can be explored along different parameter dimensions.
2Reliability
If real-world testing is conducted to obtain accurate noise data, then the reliability of noise indications is high, but the development cost and time increase significantly
Solution Approach 1:
Noise measurements are performed in advance during offline robot development, and the results are stored and structured by robot-motion parameters. This preliminary action allows accurate noise indications to be available during programming and operation without requiring additional real-world testing at later stages.
Solution Approach 2:
The system creates a virtual model of noise emissions that replicates real-world measurements. This copied noise data, structured by robot-motion parameters, can be used in simulation and programming phases to predict actual noise behavior without repeated physical testing.
3Loss of information
If aggregate noise visualizations are used, then the interface is simple, but the ability to analyze noise dependence on robot-motion parameters is lost
Solution Approach 1:
The aggregate noise visualization is segmented into separate visualizations for each robot-motion parameter value. This segmentation preserves the dependence information between noise and parameters while organizing the complexity in a structured, navigable manner.
Solution Approach 2:
The visualization system is made dynamic, allowing users to navigate and select different robot-motion parameter values to view corresponding noise characteristics. This dynamic interaction enables comprehensive parameter dependence analysis without presenting all data statically at once.
Data Source
AI summary
A method of indicating noise emissions of an industrial robot, including: obtaining at least one robot program containing commands to the industrial robot; obtaining a plurality of values of at least one robot-motion parameter; recording, for each of the values of the robot-motion parameter, an acoustic quantity indicative of noise emitted by the industrial robot while executing said at least one robot program; and displaying, by means of a graphical user interface on a visual display, a visualization of the acoustic quantity indicated as a function of the robot-motion parameter.