Ergonomic Data Processing System Automation
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current ergonomic data processing in production environments is largely manual and subjective, failing to provide an automated and comprehensive evaluation of loads on workers, as it separates the analysis of physical postures and force measurements without synchronizing or combining them effectively.
Innovation Solution
A system and method that integrates first and second ergonomic data from independent detection devices, such as motion and force sensors, using a processing unit to assign and synchronize these data sets automatically, enabling a machine learning algorithm-based evaluation to assess ergonomic compliance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Extent of automation
If manual processing and subjective evaluation are used for ergonomic data, then flexibility and adaptability are maintained, but productivity and measurement precision deteriorate
Solution Approach 1:
The patent combines multiple independent detection devices (motion capture system and force measurement system) into a unified ergonomic evaluation system. The reception unit receives data from both devices and merges them into a comprehensive evaluation, eliminating the need for separate manual processing of motion and force data while maintaining system manageability through modular architecture.
Solution Approach 2:
The patent introduces a processing unit as an intermediary between detection devices and final evaluation. This unit automatically assigns motion data to corresponding force measurement data using time stamps and synchronization, mediating the integration of heterogeneous data streams without requiring complex manual coordination or sacrificing automation.
2Measurement precision
If separate processing of motion and force data is maintained, then device complexity is reduced, but measurement precision and reliability deteriorate
Solution Approach 1:
The patent merges motion capture data and force measurement data into a unified ergonomic evaluation. The processing unit combines these previously separate data streams, assigning them to each other through time stamp correlation, thereby enabling precise joint evaluation of posture and force without requiring complex manual integration procedures.
Solution Approach 2:
The system establishes feedback loops where motion data and force data are continuously cross-referenced and assigned to each other. The processing unit uses time stamps and synchronization mechanisms to create feedback between the two data streams, ensuring that ergonomic evaluations are based on correlated motion-force pairs rather than isolated measurements.
3Productivity
If subjective evaluation methods are used, then adaptability to different work scenarios is maintained, but productivity and evaluation speed deteriorate
Solution Approach 1:
The system enables self-service automated evaluation where the processing unit independently performs data assignment, synchronization, and ergonomic assessment without requiring subjective human intervention. The algorithm automatically correlates motion and force data using time stamps and evaluates ergonomic compliance based on predefined criteria, significantly increasing evaluation speed while maintaining consistent automated processing.
Data Source
AI summary
A system for processing ergonomic data includes a reception unit configured to receive first ergonomic data from a first detection device and second ergonomic data from a second detection device. The first and second ergonomic data are mutually independent. The system also includes a processing unit. The processing unit is configured to assign the first ergonomic data to the second ergonomic data in an automated manner and, on the basis of mutually assigned data, to execute a further processing of ergonomic data thus assigned.