Excavator Automatic Weighing Calibration via Coefficient Matrix
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Solution Overview
Problem
Manual weighing calibration in excavators is costly and prone to human errors, affecting the accuracy of automatic weighing results.
Innovation Solution
An automatic weighing calibration method and system for excavators that involves obtaining a reference data set under no-load conditions, filtering out abnormal data, and calibrating a coefficient matrix for the weighing model using geometric, pressure, and dynamic data to perform automatic calibration without manual intervention.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual weighing calibration is performed, then the accuracy of automatic weighing results can be maintained, but the cost increases and human errors may occur
Solution Approach 1:
The system performs automatic weighing calibration using the excavator's own working data without requiring external manual intervention. The calibration process is self-executed by the control unit comparing actual weighing data with model calculated data, eliminating the need for manual calibration operations and reducing associated costs while maintaining accuracy.
Solution Approach 2:
The patent replaces manual mechanical calibration operations with an automated computational system. The control unit uses software algorithms to automatically compare weighing model calculations with actual sensor data, substituting human operators and manual procedures with an automated electronic calibration system that reduces costs and eliminates human error.
2Measurement precision
If manual weighing calibration is performed, then the accuracy of automatic weighing results can be maintained, but human errors may occur affecting calibration quality
Solution Approach 1:
The system performs self-calibration without human intervention, using automated algorithms to compare actual weighing data with model predictions. This self-service approach eliminates human factors such as操作 errors, fatigue, and subjectivity, ensuring consistent and reliable calibration quality while maintaining high measurement precision.
Solution Approach 2:
The calibration process uses feedback mechanisms where the control unit continuously compares actual weighing sensor data with data calculated from the weighing model, automatically adjusting and optimizing the calibration parameters. This closed-loop feedback system ensures high reliability by systematically identifying and correcting deviations without human error.
3Quantity of substance
If automatic weighing calibration is implemented, then calibration costs are reduced and human errors are eliminated, but the system requires sophisticated data processing
Solution Approach 1:
The control unit serves multiple functions: it controls excavator operations, collects working data, performs weighing calculations, and executes calibration processes. By making the control unit multi-functional, the system avoids adding separate dedicated calibration hardware, thereby reducing overall device complexity while enabling automatic calibration that lowers costs and eliminates human errors.
Solution Approach 2:
The system uses the excavator's own operational data and existing control systems to perform self-calibration, eliminating the need for external calibration equipment and complex dedicated hardware. This self-service approach reduces device complexity by leveraging existing resources while achieving cost-effective, error-free calibration.
Data Source
AI summary
An automatic weighting calibration method for an excavator includes: firstly, obtaining a reference data set of the excavator under no-load working state; the reference data set includes a plurality of reference data groups, and each reference data group includes geometry data of the excavator, pressure data of an oil cylinder, dynamic data and no-load weighing data; and then, calibrating a coefficient matrix of the weighing model to realize the automatic weighing calibration for the excavator based on the reference data set. The weighing model is configured to automatically weigh the excavator.