Remote Calibration of Digital Torque Tools via Fatigue Data
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Solution Overview
Problem
Conventional calibration methods for digital torque tools require physical transportation to specialized facilities, leading to lengthy calibration times and high costs, with no existing methods for remote precision calibration or data registration.
Innovation Solution
A calibration method and system that transmits usage records to a remote platform, calculates the average degree of fatigue, and updates the digital torque tool's memory with calibration data, allowing for remote precision calibration using a simple hardware platform.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional calibration methods using automatic torque testers or torque balance testers are used, then calibration accuracy can be maintained, but calibration time increases to two to four weeks and shipping costs are incurred
Solution Approach 1:
The digital torque tool performs self-calibration by comparing its sensor readings with pre-stored standard torque values in its own memory, eliminating the need for external calibration facilities. The tool uses its internal processing unit to calculate error values and generate calibration data autonomously
Solution Approach 2:
The system uses pre-stored standard torque curves and characteristic curves copied into the tool's memory as reference data. These copied standard values serve as the basis for comparison and calibration without requiring physical standard torque devices during field operation
2Ease of manufacture
If conventional calibration methods are used, then calibration can be performed with standard equipment, but the tool must be sent to specialized facilities incurring shipping costs and extended calibration time
Solution Approach 1:
The calibration function is integrated into the tool itself, allowing it to perform calibration operations in the field without requiring transport to external facilities. The processing unit and memory work together to enable autonomous calibration execution
Solution Approach 2:
The digital torque tool is designed with multiple functions including both measurement and calibration capabilities. The same sensor, processing unit, and display that perform measurement tasks also execute calibration operations, eliminating the need for separate calibration equipment
3Device complexity
If torque balance testers are used for calibration, then simple error value comparison is possible, but calibration data cannot be registered into the tool's memory
Solution Approach 1:
The system merges the functions of error comparison and data registration into a single integrated calibration process. The processing unit simultaneously calculates error values from sensor readings and updates the characteristic curve in memory, combining multiple calibration steps into one operation
Solution Approach 2:
The system implements feedback by comparing real-time sensor readings with pre-stored standard values, calculating error values, and using these errors to generate calibration data that updates the tool's memory. This closed-loop feedback ensures accurate calibration data registration
Data Source
AI summary
A calibration method/system and verification method for digital torque tools are disclosed, in which the calibration method comprises the steps of: transmitting a data containing usage records of a digital torque tool at a client end to a remote calibration platform; comparing the data of usage records with statistic data stored in the calibration platform so as to obtain a data relating to average degree of fatigue; performing a calculation based upon the data of usage record and the data of average degree of fatigue so as to obtain a calibration data; transmitting the calibration data to the client end while allowing the calibration data to overwrite the corresponding original torque data of the digital torque tool.