Anti-interference detection method for ultrasonic sonoluminescence detection system

Abstract

The invention provides an anti-interference detection method for an ultrasonic sonoluminescence detection system, and relates to the technical field of sonoluminescence detection. The ultrasonic sonoluminescence detection system comprises an ultrasonic generation unit, a sample, a sample container, an optical detection unit, a data analysis processing unit and a control monitoring unit, the ultrasonic generation unit is directly contacted with a sample liquid, the sample liquid is a fluorescent dye solution, the optical detection unit is placed around the sample container, and the data analysis processing unit is connected with the control monitoring unit. The output end of the optical detection unit is electrically connected with the input end of the data analysis and processing unit, and the optical detection unit converts an optical signal emitted by a sample into an electric signal and transmits the electric signal to the data analysis and processing unit. According to the method, data visualization and key feature extraction are performed through MATLAB, and feature classification is performed in combination with a machine learning algorithm, so that signal change and interference can be identified more accurately, and real-time response and adjustment are facilitated.

Description

Technical Field

[0001] The invention relates to the technical field of sonoluminescence detection, in particular to an anti-interference detection method for an ultrasonic sonoluminescence detection system. Background Art

[0002] Ultrasonic sonoluminescence detection is a detection technology that uses ultrasonic stimulation to induce light emission in samples. This technology combines ultrasonic and optical detection methods to achieve in-depth analysis of material properties and behaviors. It is widely used in materials science, chemical reactions and biomedicine. The basic principle of ultrasonic sonoluminescence detection is that when ultrasonic waves pass through liquid or gas media, local pressure fluctuations will occur, forming tiny bubbles. These bubbles collapse or oscillate periodically under the action of ultrasonic waves, causing the temperature and pressure inside the bubbles to change dramatically, which in turn triggers an optical phenomenon, namely sonoluminescence. By monitoring the emitted light signals, researchers can obtain information about the properties of the material, the reaction dynamics and its behavior under different conditions.

[0003] At present, many existing sonoluminescence detection systems lack sufficient environmental analysis and interference source identification in the experimental environment, resulting in significant impact of environmental vibration and electromagnetic interference on the experimental results. If these factors are not effectively controlled, it may lead to a decrease in signal stability and reliability, thereby affecting the final detection results and data credibility. Summary of the invention

[0004] In view of the deficiencies of the prior art, the present invention provides an anti-interference detection method for an ultrasonic sonoluminescence detection system, which solves the problems of the conventional sonoluminescence detection process.

[0005] To achieve the above objectives, the present invention is implemented through the following technical solutions: an ultrasonic sonoluminescence detection system, comprising an ultrasonic generating unit, a sample and a sample container, an optical detection unit, a data analysis and processing unit and a control and monitoring unit, wherein the ultrasonic generating unit is in direct contact with the sample liquid, the sample solution is a fluorescent dye solution, the optical detection unit is placed around the sample container, the output end of the optical detection unit is electrically connected to the input end of the data analysis and processing unit, the optical detection unit converts the light signal emitted by the sample into an electrical signal and transmits it to the data analysis and processing unit, and the ultrasonic generating unit, the optical detection unit and the data analysis and processing unit are all electrically connected to the output end of the control and monitoring unit.

[0006] Preferably, the ultrasonic generating unit includes an ultrasonic generator and an ultrasonic probe, the ultrasonic generator and the ultrasonic probe are connected via a cable, the ultrasonic generator is a Branson 5800 series, the ultrasonic probe is a TC-501, the ultrasonic generator sends an electrical signal to the ultrasonic probe, and the ultrasonic probe converts the electrical signal into ultrasonic waves that directly act on the sample solution.

[0007] Preferably, the optical detection unit includes a photodetector and an optical filter, the photodetector selects a photodiode, the optical filter and the photodetector are placed in sequence around the outside of the sample container, the optical filter is placed on the inside of the photodetector, and the optical filter and the photodetector are directly coupled through a physical connection.

[0008] Preferably, the data analysis and processing unit includes a signal amplifier, a data collector, a computer and a display. The photodetector converts the captured light signal into an electrical signal and transmits it directly to the signal amplifier. The signal amplifier converts the obtained analog signal into a digital signal through an analog-to-digital converter and transmits it to the data collector. The data collector transmits the obtained data to the computer for analysis and storage. The computer uses MATLAB software to visualize the digital signal data and extract features. The visualized data analysis results are displayed to researchers through a display.

[0009] Preferably, the control and monitoring unit includes a controller and a monitoring sensor. The controller is electrically connected to the ultrasonic generator, the optical detector, the signal amplifier and the analog-to-digital converter, and is used to control the frequency, power and pulse width of the ultrasonic waves emitted by the ultrasonic generator. The monitoring sensor includes a temperature sensor and a pressure sensor, and is used to monitor the temperature and pressure of the experimental environment. The data monitored by the monitoring sensor will be fed back to the controller, and the working status of other parts will be dynamically adjusted through the control system.

[0010] An ultrasonic sonoluminescence anti-interference detection method, using the ultrasonic sonoluminescence detection system, comprises the following steps: Step 1, performing environmental analysis and identifying potential electromagnetic interference sources, and collecting information on the type, frequency and intensity of the interference sources; Step 2: Select a 300KHz ultrasonic generator, control the start of the ultrasonic generator through computer software, adjust the frequency and phase in real time, and conduct the ultrasonic wave into the prepared fluorescent dye solution through an ultrasonic probe; Step 3: Reduce the impact of vibration by using a vibration-damping table and apply electromagnetic shielding to reduce electromagnetic interference to ensure stable operation of the equipment; Step 4: Use a waveform shaping circuit to adjust the output signal, especially when a pulse signal appears, to ensure that its rise and fall times meet the requirements, thereby reducing unnecessary frequency components; Step 5: The photoelectric detector receives the light signal passing through the optical filter on the four sides of the sample container and converts it into an electrical signal, and then converts the electrical signal into a digital signal through a signal amplifier and an analog-to-digital converter and transmits it to a computer; Step 5: The computer uses a window function to process the signal in the time domain, uses fast Fourier transform to analyze the frequency components, and applies a suitable filter to effectively remove noise; Step 6: By averaging the data collected multiple times, the fluctuation caused by random noise is reduced and the signal-to-noise ratio of the signal is improved; Step 7: The computer uses MATLAB software to visualize the digital signal and extract key features through signal processing technology, such as the peak value, average value, standard deviation, frequency characteristics and phase information of the signal. By comparing and analyzing the extracted features, it is possible to identify whether there is a significant signal change and detect possible interference sources; Step 8: Apply machine learning algorithms to classify features and distinguish normal signals from interference signals to ensure the reliability of the results. Based on the noise level obtained in the experiment, a reasonable signal strength threshold is established. This threshold is used to determine whether the collected data is valid. Step 9. Track the data collection and processing status in real time by monitoring the temperature and pressure sensors of the monitoring system. If there is any abnormality, make adjustments immediately to ensure the continuity and effectiveness of signal collection. Calibrate sensors and other measuring equipment regularly to ensure that all equipment operates in the best condition and eliminate errors gradually generated by the system.

[0011] Preferably, the shock absorbing platform in step three is directly fixed to the experimental ground by bolts or the like, and the electromagnetic shielding means in step three is to install a metal shielding box around the entire experiment.

[0012] Preferably, the machine learning algorithm in step eight uses a decision tree for classification.

[0013] The present invention provides an anti-interference detection method for an ultrasonic sonoluminescence detection system. It has the following beneficial effects: 1. Through systematic environmental analysis and identification of potential electromagnetic interference sources, the present invention can better understand the experimental environment, take timely measures to reduce the impact of interference, introduce shock-absorbing platforms and electromagnetic shielding technology, significantly improve the stability of the equipment, reduce the impact of environmental vibration and electromagnetic interference, and thus improve signal quality.

[0014] 2. The present invention ensures the accuracy of the output signal by using a waveform shaping circuit, especially when processing pulse signals, it can effectively reduce unnecessary frequency components and has higher signal clarity than traditional methods. Combined with fast Fourier transform and appropriate filters, it can perform more in-depth signal analysis and noise removal, thereby improving the signal-to-noise ratio.

[0015] 3. The present invention uses MATLAB to perform data visualization and key feature extraction, and combines machine learning algorithms for feature classification, which can more accurately identify signal changes and interference, and facilitate real-time response and adjustment. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] Figure 1 It is a schematic diagram of the system flow of the present invention. DETAILED DESCRIPTION

[0017] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0018] Example: like Figure 1 As shown, an embodiment of the present invention provides an ultrasonic sonoluminescence detection system, including an ultrasonic generating unit, a sample and a sample container, an optical detection unit, a data analysis and processing unit and a control and monitoring unit. The ultrasonic generating unit is in direct contact with the sample liquid, and a fluorescent dye solution is selected as the sample solution. The optical detection unit is placed around the sample container, and the output end of the optical detection unit is electrically connected to the input end of the data analysis and processing unit. The optical detection unit converts the light signal emitted by the sample into an electrical signal and transmits it to the data analysis and processing unit. The ultrasonic generating unit, the optical detection unit and the data analysis and processing unit are all electrically connected to the output end of the control and monitoring unit. The detection process will be repeated many times. During the process, any significant changes in the data signals of the ultrasonic generating unit, the optical detection unit and the data analysis and processing unit will be fed back to the control and monitoring unit through electrical signals, so that the sensor status can be tracked in real time and abnormal feedback can be performed. Compared with traditional methods, it is more intelligent and efficient, and reduces the need for manual intervention.

[0019] The ultrasonic generating unit includes an ultrasonic generator and an ultrasonic probe. The ultrasonic generator and the ultrasonic probe are connected by a cable. The ultrasonic generator is the Branson 5800 series and the ultrasonic probe is the TC-501. The ultrasonic generator sends an electrical signal to the ultrasonic probe, which converts the electrical signal into ultrasonic waves to directly act on the sample solution. The Branson 5800 series ultrasonic generator integrates digital signal processing technology and can achieve precise frequency regulation and power control to meet the needs of various experimental environments. The design of the TC-501 probe ensures that ultrasonic energy can be efficiently transmitted to the sample solution. When acting on the sample, it can fully stimulate the molecular movement in the solution, enhance the sonoluminescence effect, and use the ultrasonic generator to make corresponding power and frequency adjustments. Through such an efficient ultrasonic generating unit, researchers can more accurately control the effect of ultrasonic waves on the sample, thereby obtaining more reliable test results and experimental data.

[0020] The optical detection unit includes a photodetector and an optical filter. The photodetector selects a photodiode. The optical filter and the photodetector are placed in a circle on the outside of the sample container in sequence. The optical filter is placed on the inside of the photodetector. The optical filter and the photodetector are directly coupled through a physical connection. The photodiode has the characteristics of high sensitivity and fast response, and can accurately detect weak light signals. The selection of the photodiode enables the system to clearly identify the sonoluminescent signal in the noise background of the signal, providing a reliable foundation for subsequent data analysis. It is placed on the inside of the photodetector to ensure that only light signals of a specific wavelength can enter the detector. The coupling connection between the two is fixed by directly clamping them with corresponding clamps.

[0021] The data analysis and processing unit includes a signal amplifier, a data collector, a computer and a display. The photodetector converts the captured light signal into an electrical signal and transmits it directly to the signal amplifier. The signal amplifier converts the obtained analog signal into a digital signal through an analog-to-digital converter and transmits it to the data collector. The data collector transmits the obtained data to the computer for analysis and storage. The computer uses MATLAB software to visualize the digital signal data and extract features. The visualized data analysis results are displayed to researchers through the display. MATLAB's powerful mathematical calculation and data processing capabilities enable researchers to conduct in-depth analysis of the obtained digital signals and extract important characteristic parameters such as peak value, frequency distribution and signal-to-noise ratio.

[0022] The control and monitoring unit includes a controller and a monitoring sensor. The controller is electrically connected to the ultrasonic sounder, optical detector, signal amplifier and analog-to-digital converter, and is used to control the frequency, power and pulse width of the ultrasonic waves emitted by the ultrasonic generator. The monitoring sensor includes a temperature sensor and a pressure sensor, which are used to monitor the temperature and pressure of the experimental environment. The data monitored by the monitoring sensor will be fed back to the controller, and the working status of other parts will be dynamically adjusted through the control system. Through this closed-loop feedback mechanism, the control and monitoring unit can not only improve the stability of the system, but also effectively prevent the occurrence of unexpected situations during the experiment, and ensure the repeatability and reliability of the experimental results.

[0023] An ultrasonic sonoluminescence anti-interference detection method, using an ultrasonic sonoluminescence detection system, comprises the following steps: Step 1: Conduct environmental analysis and identify potential sources of electromagnetic interference, and collect information on the type, frequency, and intensity of the interference sources; Step 2: Select a 300KHz ultrasonic generator, control the start of the ultrasonic generator through computer software, adjust the frequency and phase in real time, and conduct the ultrasonic wave into the prepared fluorescent dye solution through an ultrasonic probe; Step 3: Reduce the impact of vibration by using a vibration-damping table and apply electromagnetic shielding to reduce electromagnetic interference to ensure stable operation of the equipment; Step 4: Use a waveform shaping circuit to adjust the output signal, especially when a pulse signal appears, to ensure that its rise and fall times meet the requirements, thereby reducing unnecessary frequency components; Step 5: The photoelectric detector receives the light signal passing through the optical filter on the four sides of the sample container and converts it into an electrical signal, and then converts the electrical signal into a digital signal through a signal amplifier and an analog-to-digital converter and transmits it to a computer; Step 5: The computer uses a window function to process the signal in the time domain, uses fast Fourier transform to analyze the frequency components, and applies a suitable filter to effectively remove noise; Step 6: By averaging the data collected multiple times, the fluctuation caused by random noise is reduced and the signal-to-noise ratio of the signal is improved; Step 7: The computer uses MATLAB software to visualize the digital signal and extract key features through signal processing technology, such as the peak value, average value, standard deviation, frequency characteristics and phase information of the signal. By comparing and analyzing the extracted features, it is possible to identify whether there is a significant signal change and detect possible interference sources; Step 8: Apply machine learning algorithms to classify features and distinguish normal signals from interference signals to ensure the reliability of the results. Based on the noise level obtained in the experiment, a reasonable signal strength threshold is established. This threshold is used to determine whether the collected data is valid. Step 9. Track the data collection and processing status in real time by monitoring the temperature and pressure sensors of the monitoring system. If there is any abnormality, make adjustments immediately to ensure the continuity and effectiveness of signal collection. Calibrate sensors and other measuring equipment regularly to ensure that all equipment operates in the best condition and eliminate errors gradually generated by the system.

[0024] The shock-absorbing platform in step three is directly fixed to the experimental ground by bolts or the like, and the electromagnetic shielding means in step three is to install a metal shielding box around the entire experiment.

[0025] The machine learning algorithm in step eight uses decision trees for classification.

[0026] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. An ultrasonic sonoluminescence detection system, characterized in that: It includes an ultrasonic generating unit, a sample and a sample container, an optical detection unit, a data analysis and processing unit and a control and monitoring unit. The ultrasonic generating unit is in direct contact with the sample liquid. The sample solution is a fluorescent dye solution. The optical detection unit is placed around the sample container. The output end of the optical detection unit is electrically connected to the input end of the data analysis and processing unit. The optical detection unit converts the light signal emitted by the sample into an electrical signal and transmits it to the data analysis and processing unit. The ultrasonic generating unit, the optical detection unit and the data analysis and processing unit are all electrically connected to the output end of the control and monitoring unit.

2. The ultrasonic sonoluminescence detection system according to claim 1, characterized in that: The ultrasonic generating unit includes an ultrasonic generator and an ultrasonic probe. The ultrasonic generator and the ultrasonic probe are connected via a cable. The ultrasonic generator is a Branson 5800 series, and the ultrasonic probe is a TC-501. The ultrasonic generator sends an electrical signal to the ultrasonic probe, and the ultrasonic probe converts the electrical signal into ultrasonic waves to directly act on the sample solution.

3. The ultrasonic sonoluminescence detection system according to claim 1, characterized in that: The optical detection unit includes a photodetector and an optical filter. The photodetector selects a photodiode. The optical filter and the photodetector are sequentially placed around the outside of the sample container. The optical filter is placed on the inside of the photodetector. The optical filter and the photodetector are directly coupled through a physical connection.

4. The ultrasonic sonoluminescence detection system according to claim 3, characterized in that: The data analysis and processing unit includes a signal amplifier, a data collector, a computer and a display. The photodetector converts the captured light signal into an electrical signal and transmits it directly to the signal amplifier. The signal amplifier converts the obtained analog signal into a digital signal through an analog-to-digital converter and transmits it to the data collector. The data collector transmits the obtained data to the computer for analysis and storage. The computer uses MATLAB software to visualize the digital signal data and extract features. The visualized data analysis results are displayed to researchers through a display.

5. The ultrasonic sonoluminescence detection system according to claim 4, characterized in that: The control and monitoring unit includes a controller and a monitoring sensor. The controller is electrically connected to an ultrasonic generator, an optical detector, a signal amplifier and an analog-to-digital converter, and is used to control the frequency, power and pulse width of the ultrasonic waves emitted by the ultrasonic generator. The monitoring sensor includes a temperature sensor and a pressure sensor, and is used to monitor the temperature and pressure of the experimental environment. The data monitored by the monitoring sensor will be fed back to the controller, and the working status of other parts will be dynamically adjusted through the control system.

6. An ultrasonic sonoluminescence anti-interference detection method, using an ultrasonic sonoluminescence detection system as claimed in any one of claims 1 to 5, characterized in that: The following steps are involved: Step 1: Conduct environmental analysis and identify potential sources of electromagnetic interference, and collect information on the type, frequency, and intensity of the interference sources; Step 2: Select a 300KHz ultrasonic generator, control the start of the ultrasonic generator through computer software, adjust the frequency and phase in real time, and conduct the ultrasonic wave into the prepared fluorescent dye solution through an ultrasonic probe; Step 3: Reduce the impact of vibration by using a vibration-damping table and apply electromagnetic shielding to reduce electromagnetic interference to ensure stable operation of the equipment; Step 4: Use a waveform shaping circuit to adjust the output signal, especially when a pulse signal appears, to ensure that its rise and fall times meet the requirements, thereby reducing unnecessary frequency components; Step 5: The photoelectric detector receives the light signal passing through the optical filter on the four sides of the sample container and converts it into an electrical signal, and then converts the electrical signal into a digital signal through a signal amplifier and an analog-to-digital converter and transmits it to a computer; Step 5: The computer uses a window function to process the signal in the time domain, uses fast Fourier transform to analyze the frequency components, and applies a suitable filter to effectively remove noise; Step 6: By averaging the data collected multiple times, the fluctuation caused by random noise is reduced and the signal-to-noise ratio of the signal is improved; Step 7: The computer uses MATLAB software to visualize the digital signal and extract key features through signal processing technology, such as the peak value, average value, standard deviation, frequency characteristics and phase information of the signal. By comparing and analyzing the extracted features, it is possible to identify whether there is a significant signal change and detect possible interference sources; Step 8: Apply machine learning algorithms to classify features and distinguish normal signals from interference signals to ensure the reliability of the results. Based on the noise level obtained in the experiment, a reasonable signal strength threshold is established. This threshold is used to determine whether the collected data is valid. Step 9. By monitoring the temperature and pressure sensors of the system, track the data collection and processing status in real time. If there is any abnormality, make adjustments immediately to ensure the continuity and effectiveness of signal collection. Regularly calibrate sensors and other measuring equipment to ensure that all equipment operates in the best condition and eliminate errors gradually generated by the system.

7. The ultrasonic sonoluminescence anti-interference detection method according to claim 6, characterized in that: The shock-absorbing platform in step three is directly fixed to the experimental ground by bolts or the like, and the electromagnetic shielding means in step three is to install a metal shielding box around the entire experiment.

8. The ultrasonic sonoluminescence anti-interference detection method according to claim 6, characterized in that: The machine learning algorithm in step eight uses a decision tree for classification.

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