Raman Spectrum Detection System Automatic Calibration
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Solution Overview
Problem
Raman spectrometers face challenges in maintaining consistent performance due to environmental changes and physical disturbances, leading to variations in detected spectra, especially when using expensive lasers with stable frequency and power, which are also prone to attenuation over time.
Innovation Solution
A Raman spectrum detection system with an automatic calibration device using a standard sample and a restoring unit, such as a spring, to adjust and stabilize the system's characteristics, comprising a light source, external light path system, and control device for analyzing and calibrating spectrum data to maintain accurate object identification.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a laser with stable frequency and power is used for excitation, then the Raman spectrum detection accuracy is improved, but the system cost increases significantly
Solution Approach 1:
The patent replaces expensive, stable lasers with cheaper, unstable light sources (such as LEDs or inexpensive lasers). Instead of relying on the light source stability, the system uses frequent calibration with standard samples to compensate for the instability, effectively making the light source a 'disposable' component that doesn't need to be expensive or highly stable
Solution Approach 2:
The system performs self-calibration using built-in standard samples. The calibration process is automated and integrated into the detection system, allowing it to self-correct for light source instability without external intervention or expensive stable lasers
2Adaptability or versatility
If the Raman spectrometer is frequently moved for on-site detection, then the adaptability to different environments is improved, but the system performance stability deteriorates due to shaking and path changes
Solution Approach 1:
The system performs preliminary calibration using standard samples before actual detection. This pre-calibration establishes a baseline that compensates for environmental variations and mechanical disturbances, allowing the system to maintain stability even when frequently moved
Solution Approach 2:
The system uses feedback from calibration measurements on standard samples to continuously adjust and correct for environmental changes. By repeatedly measuring known standards and comparing against reference data, the system can compensate for shaking, temperature changes, and optical path variations
3Duration of action of moving object
If the laser power attenuates after use, then the duration of operation is extended, but the detection precision deteriorates
Solution Approach 1:
The system continuously monitors light source performance by measuring standard samples and compares against reference values. When attenuation is detected, the system automatically adjusts calibration parameters to compensate, maintaining detection precision throughout the operational duration
Solution Approach 2:
The system performs self-diagnosis and self-correction for laser attenuation by repeatedly calibrating with built-in standards. This automated compensation allows extended operation without sacrificing precision, as the system continuously adapts to the deteriorating light source
Data Source
AI summary
A Raman spectrum detection system including a light source for emitting excitation light that excites a detected object to emit Raman light; an external light path system for irradiating light emitted from the light source on the detected object and collecting the Raman light emitted by the detected object; a light detection device for receiving the Raman light collected by the external light path system and detecting the Raman light to obtain spectrum data thereof; a control device for controlling the excitation light source to provide the excitation light, controlling the light detection device to detect the Raman light, receiving the spectrum data output from the light detection device, and analyzing said spectrum data to identify the detected object; and an automatic calibration device for holding the standard sample and for automatically calibrating the system.