Robot Controller Anomaly Detection at Program Nodes
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Industrial robots are prone to anomalies and errors due to unique applications and lack of effective existing anomaly detection methods, which often require precise models, processor power, and memory, necessitating external controllers, and are not adaptable to diverse operational elements.
Innovation Solution
A robot system with an integrated anomaly detection block in the robot controller that evaluates operation parameters at specific program nodes, allowing for localized anomaly detection without external systems, using node condition sets tailored to different operational elements.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If model-based anomaly detection methods are used, then anomaly detection capability is improved, but processor power and memory requirements increase
Solution Approach 1:
The robot operation program is divided into multiple program nodes, each representing a separate operational element. Anomaly detection is performed locally at each program node rather than globally across the entire system. This segmentation allows the anomaly detection block to process smaller, localized data sets at each node, reducing the overall computational burden on the processor while maintaining comprehensive anomaly detection coverage across all operational elements.
2Reliability
If dedicated external controllers are used for anomaly detection, then anomaly detection accuracy is improved, but device complexity increases
Solution Approach 1:
The anomaly detection block is merged with the existing robot controller, eliminating the need for separate dedicated external controllers. The anomaly detection functionality is integrated into the controller that already manages robot operation, allowing it to utilize the same processor and memory resources. This integration reduces device complexity by removing redundant hardware components while maintaining anomaly detection accuracy through the program node-based evaluation approach.
3Adaptability or versatility
If general anomaly detection methods are used, then applicability is improved, but adaptability to specific operational elements decreases
Solution Approach 1:
Different program nodes representing different operational elements can have customized anomaly detection criteria and parameters tailored to their specific requirements. Each program node's anomaly evaluation can be optimized for its particular operational characteristics (e.g., motion parameters for movement nodes, force parameters for interaction nodes), thereby achieving both general applicability across all nodes and specialized precision for each specific operational element.
Data Source
AI summary
The invention relates to a robot system for detection of an operation anomaly. The robot system comprises: an industrial robot; a robot controller configured to control operation of said industrial robot; a robot operation program which is executable by said robot controller to operate said industrial robot according to a robot operation cycle; respective program nodes integrated in said robot operation program, wherein each of said respective program nodes is associated with a separate operational element of said robot operation cycle; wherein said robot controller is configured to obtain reference data based on operation parameters associated with execution of said robot operation program; and an anomaly detection block which for at least one of said respective program nodes is configured to evaluate an operation anomaly of said robot operation parameters relative to a representation of said reference data.