Industrial Robot Position Compensation Using IoT Error Prediction
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Solution Overview
Problem
Existing methods for regulating repeated positioning accuracy in industrial robots are labor-intensive, time-consuming, and prone to errors due to the complexity of manual data handling and calculation, which affects manufacturing efficiency and accuracy.
Innovation Solution
An Industrial Internet of Things (IoT) system comprising a management platform, sensor network platform, and object platform, which facilitates rapid error detection and compensation through a machine learning-based error prediction model, enabling point-by-point positioning accuracy measurement and automated data processing across multiple sub-platforms.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If manual repeated positioning operations are performed to detect and compensate errors, then positioning accuracy can be improved, but the process becomes time-consuming and labor-intensive
Solution Approach 1:
The system performs preliminary error detection and compensation by establishing an error compensation table in advance through automated repeated positioning operations. The IoT platform pre-calculates compensation values for multiple compensation points across all motion axes, so that when positioning errors occur during actual manufacturing, the robot can directly apply pre-computed compensation without time-consuming manual measurement and calculation.
2Manufacturing precision
If manual error compensation table replacement is performed, then positioning accuracy can be improved, but the complexity of data handling and calculation increases
Solution Approach 1:
The system implements self-service by enabling the industrial robot to automatically perform repeated positioning operations and collect its own error data without external intervention. The IoT platform automatically processes the collected coordinate data, calculates compensation values using predefined algorithms, and updates the error compensation table. This eliminates the need for manual data handling and complex calculations by external personnel.
3Manufacturing precision
If comprehensive error compensation is performed across multiple compensation points, then positioning accuracy can be improved, but the workload and cost increase
Solution Approach 1:
The system replaces manual mechanical operations with automated electronic and software-based processes. An automated measurement device collects coordinate data electronically, the IoT platform processes this data through computational algorithms to generate compensation values, and these values are automatically uploaded to update the error compensation table. This substitution of manual mechanical work with automated electronic systems significantly reduces both the workload and time required for comprehensive error compensation across multiple points.
Data Source
AI summary
Provided is Industrial Internet of Things for determining positioning error, including: a management platform, a sensor network platform, and an object platform interacting in turn. The management platform is configured to: obtain an initial position coordinate and a target position coordinate; obtain at least one reference compensation coordinate and a corresponding error based on the initial position coordinate and the target position coordinate; determine a positioning error of each compensation point by an error prediction model based on the initial position coordinate, the target position coordinate, at least one reference compensation coordinate, and corresponding error; and generate a group of new compensation parameters based on the positioning error and store it, and send it to the sensor network platform; the sensor network platform is configured to send new compensation parameters to a corresponding object platform; and the object platform is configured to perform positioning compensation based on new compensation parameters.