Neural Network Laser Temperature Determination
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Solution Overview
Problem
Existing methods for determining the temperature of a laser medium are complex, expensive, and often limited to specific types of lasers, making them unsuitable for universal application.
Innovation Solution
A computer-implemented method using an artificial neural network to determine the temperature of a laser medium by comparing it to a known reference temperature, while accounting for velocity-dependent Doppler shifts.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If traditional temperature sensing methods (fluorescence intensity ratio, transmission monitoring, thermal radiation) are used, then temperature determination is achieved, but the methods are complex, expensive, and limited to specific laser types
Solution Approach 1:
The patent applies universality by developing a temperature measurement method that works across different laser types (solid-state, ring, semiconductor) without requiring type-specific equipment. The method uses universal laser parameters (frequency, power, temporal characteristics) that can be measured with standard equipment, making the system adaptable to various laser configurations while maintaining simple implementation.
2Measurement precision
If separate thermometers are used for temperature measurement, then accurate temperature determination is achieved, but space, integration, power supply, and signal processing requirements increase
Solution Approach 1:
The patent applies self-service by enabling the laser medium itself to serve as the temperature sensor. Instead of requiring external thermometers, the method uses the laser's own operational parameters (frequency shifts, power output, temporal characteristics) which are inherently affected by temperature changes. This eliminates the need for separate sensing components and their associated integration requirements while maintaining measurement accuracy.
3Ease of operation
If thermal radiation methods are used, then temperature can be measured remotely, but detection difficulties arise due to environment, medium, geometry, and surface properties
Solution Approach 1:
The patent applies the intermediary principle by using the laser's own emitted radiation characteristics as an intermediary to infer temperature. Instead of directly detecting thermal radiation from the laser medium (which suffers from low signal-to-background ratio), the method uses the laser's frequency, power, and temporal characteristics as intermediary parameters that are systematically affected by temperature. This intermediary approach avoids the detection difficulties of direct thermal radiation measurement.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This method provides a simple, reliable, and universally applicable means to determine the temperature of a laser medium, overcoming the limitations of existing technologies.
Implementation Method 1
A suitable correction for potentially significant velocity-dependent Doppler shifts is taken into account
Data Source
Figure 1a~1b
Figure 2
Figure 3a~3b
AI summary
The invention relates to a computer-implemented method for determining the temperature of a laser medium, comprising the following steps: I. Providing the laser measurement data (D1) of a laser with a laser medium at a first position (P1) of the laser medium II. Transferring the laser measurement data (d1) from step I to an input layer of a trained artificial neural network N III. Applying the trained artificial neural network N to the laser data from step II to determine the temperature value of the laser medium, so that temperature data (T) are generated IV. Outputting the temperature data (T) from step III as the temperature of the laser medium