Temperature Interpolation for Machine Tool Data Loss Recovery
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Solution Overview
Problem
Conventional methods for compensating thermal displacement in machine tools fail to effectively interpolate lost temperature data due to power or network failures, leading to inaccuracies in thermal displacement estimation.
Innovation Solution
A temperature interpolation device that utilizes a calculation parameter setting unit, a temperature data reading/writing unit, and a past temperature estimation unit to apply Lagrange's interpolation formula or exponential functions based on recorded data in a nonvolatile storage medium to estimate and interpolate lost temperature data, ensuring accurate thermal displacement compensation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If temperature data is continuously recorded in volatile memory for real-time thermal displacement compensation, then the response speed and accuracy of thermal displacement compensation is improved, but the reliability deteriorates when power failure or network failure causes data loss
Solution Approach 1:
The patent applies preliminary action by continuously recording temperature data in non-volatile memory (hard disk drive) in advance before power failure occurs. This ensures that even when power is lost, the temperature history data is preserved and can be used for interpolation, preventing data loss and maintaining reliability
Solution Approach 2:
The patent creates a copy of temperature data storage by maintaining temperature records in both volatile memory (for real-time access) and non-volatile memory (for reliability). This dual-storage approach allows the system to use the non-volatile copy as backup when the primary volatile storage fails due to power interruption
2Device complexity
If linear interpolation is used to recover lost temperature data, then the device complexity is reduced, but the manufacturing precision deteriorates due to inaccurate temperature estimation
Solution Approach 1:
The patent applies dynamics by selecting different interpolation methods based on the characteristics of the lost data period. When the loss period is short, linear interpolation is used for simplicity; when the loss period is long or temperature changes are significant, more accurate methods like Lagrange interpolation or exponential function-based interpolation are employed, optimizing the balance between complexity and precision
Solution Approach 2:
The patent changes the interpolation parameters (method selection) based on the duration of data loss and temperature variation characteristics. By dynamically adjusting the interpolation approach according to actual conditions, the system achieves high precision without always requiring complex algorithms
3Reliability
If the system checks time information at frequent intervals to detect data loss, then the reliability of data loss detection is improved, but the productivity deteriorates due to increased processing overhead
Solution Approach 1:
The patent applies partial action by performing time information checks at predetermined intervals rather than continuously. This interval-based checking provides sufficient reliability for detecting data loss events while avoiding the excessive processing overhead that would result from continuous monitoring, thus maintaining system productivity
Data Source
AI summary
A temperature interpolation device includes: a temperature data reading/writing unit which continues to record both time information and temperature data in a nonvolatile storage medium in the operation of a target device whose temperature data is read, and which checks the time information recorded in the nonvolatile storage medium at predetermined time intervals so as to determine whether or not data is lost in a predetermined time section; and a past temperature estimation unit which uses, when the temperature data reading/writing unit determines that the data is lost, the data recorded in the nonvolatile storage medium and a calculation parameter recorded in a calculation parameter setting unit so as to estimate and interpolate the lost data with a temperature interpolation formula.