Fastening Tool Decision Logic Using Multi-Signal Correlation
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Solution Overview
Problem
Existing tool systems for fastening members, such as bolts or nuts, face accuracy issues in determining the proper fastening state due to factors like 'galling,' which can lead to incorrect go/no-go decisions based solely on fastening torque and image comparisons.
Innovation Solution
A tool system comprising a fastening unit, sensor unit, storage device, and decider that detects physical quantities during the fastening operation, using criterion information and actually measured correlations between multiple feature quantities to improve decision accuracy, including features like average battery voltage and impact cycles.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If fastening state decision is made based solely on fastening torque and image comparison, then the decision process is simple, but the accuracy decreases when galling occurs
Solution Approach 1:
The patent transitions from single-dimensional decision-making (torque only) to multi-dimensional decision-making by incorporating multiple feature quantities (torque, impact cycle, average battery voltage) to determine fastening state, thereby improving accuracy while managing complexity through systematic integration
Solution Approach 2:
The fastening unit is designed to perform multiple functions: fastening operations, physical quantity detection (torque, impact cycle, battery voltage), and integrated decision-making, reducing the need for separate systems and managing overall complexity
2Measurement precision
If multiple feature quantities are measured and analyzed, then the decision accuracy improves, but the device complexity increases
Solution Approach 1:
Multiple sensors (torque sensor, impact cycle detector, battery voltage meter) are merged into a single integrated fastening unit that performs fastening operations and simultaneously detects multiple physical quantities, reducing overall system complexity while maintaining measurement precision
Solution Approach 2:
The fastening unit autonomously performs multiple functions including fastening, detection of multiple physical quantities, and decision-making based on criterion information, eliminating the need for external complex processing systems
3Reliability
If criterion information based on multiple feature quantities is used, then the reliability of fastening decision improves, but the information processing requirement increases
Solution Approach 1:
Criterion information is pre-established based on correlations between multiple feature quantities before actual fastening operations, allowing the system to make reliable decisions by comparing measured values against pre-defined criteria without performing complex real-time analysis
Data Source
AI summary
A tool system includes a fastening unit, a sensor unit, a storage device, and a decider. The sensor unit detects a physical quantity while the fastening unit is performing a fastening operation. The storage device stores criterion information. The criterion information has been set based on a criterion correlation between a plurality of criterion feature quantities used as criteria for making a decision about the fastening state of the fastening member. The decider makes the decision about the fastening state of the fastening member in accordance with not only the criterion information but also an actually measured correlation. The actually measured correlation is a correlation between a plurality of actually measured feature quantities based on the physical quantity detected by the sensor unit.