A multi-sensor data calibration processing method, system and medium

Abstract

The present application relates to the technical field of sensor data calibration, and specifically relates to a multi-sensor data calibration processing method, system and medium, the method comprising: obtaining at least two sensor data and standard second harmonic signal data; obtaining the second harmonic signal data corresponding to the laser intensity signal from the sensor data; determining the harmonic abnormal feature, the first difference rate and the second difference rate according to the second harmonic signal data and the standard second harmonic signal data; determining the calibration error parameter according to the harmonic abnormal feature, the first difference rate and the second difference rate; based on the calibration error parameter, the initial detected target gas concentration is calibrated to obtain the calibrated target gas concentration. The present application can correct the initial detected target gas concentration according to the calibration error parameter, improve the calibration accuracy, and further reduce the deviation between the sensor detected gas concentration and the real gas concentration.

Description

Technical Field

[0001] This invention relates to the technical field of sensor data calibration, and specifically to a multi-sensor data calibration processing method, system, and medium. Background Technology

[0002] Large quantities of flammable gases, such as methane and carbon monoxide, are commonly generated in production and daily life. By installing multiple sensors, the concentration of flammable gases in the air can be accurately detected, helping people to detect gas leaks early and effectively prevent potential fire and explosion hazards. Currently common sensors include catalytic sensors, electrochemical sensors, and laser sensors. Among them, laser sensors are widely used for flammable gas concentration detection due to their non-contact and fast response characteristics.

[0003] Currently, flammable gases such as methane and carbon monoxide are commonly produced in home kitchens. Laser sensors, combined with tunable semiconductor laser absorption spectroscopy, detect the concentration of flammable gases in the air by scanning the characteristic absorption peaks (second harmonic amplitude) of the target gas with a laser of a specific wavelength. However, the temperature in the kitchen is usually unstable, which will cause changes in the absorption spectrum characteristics, resulting in a deviation between the detected flammable gas concentration and the actual flammable gas concentration.

[0004] In other words, the gas concentration detected by existing laser sensors is affected by temperature, resulting in low accuracy. Summary of the Invention

[0005] To address the technical problem of discrepancies between the gas concentration detected by existing laser sensors and the actual gas concentration, the present invention aims to provide a multi-sensor data calibration and processing method, system, and medium. The specific technical solution adopted is as follows:

[0006] In a first aspect, one embodiment of the present invention provides a multi-sensor data calibration processing method, the method comprising:

[0007] Acquire at least two sensor data and standard second harmonic signal data; the sensor data includes a laser intensity signal; the laser intensity signal is used to characterize the laser energy intensity not absorbed by the target gas; the standard second harmonic signal data is used to characterize the ideal second harmonic signal characteristics of a target gas at a specific concentration under standard temperature;

[0008] Obtain the second harmonic signal data corresponding to the laser intensity signal from the sensor data;

[0009] Based on the second harmonic signal data and the standard second harmonic signal data, harmonic anomaly characteristics, a first difference rate, and a second difference rate are determined. The harmonic anomaly characteristics characterize the degree to which the second harmonic signal deviates from the waveform of the standard second harmonic signal. The first difference rate characterizes the degree of difference between the second harmonic signal and the standard second harmonic signal in the second harmonic peak integral area. The second difference rate characterizes the degree of difference between the second harmonic signal and the standard second harmonic signal in the second harmonic peak amplitude.

[0010] Based on the harmonic anomaly characteristics, the first difference rate, and the second difference rate, the calibration error parameters are determined.

[0011] Based on the calibration error parameters, the initial detected target gas concentration is calibrated to obtain the calibrated target gas concentration.

[0012] In one embodiment, obtaining the second harmonic signal data corresponding to the laser intensity signal from the sensor data includes:

[0013] The laser intensity signal is modulated and demodulated to obtain the second harmonic signal data corresponding to the laser intensity signal; the second harmonic signal data includes: the first half-width at half maximum (WHM), the first integral area, and the first amplitude of the second harmonic peak; the first WHM is the half-width at half maximum corresponding to the highest peak of the second harmonic peak; the first integral area is the area of ​​the region enclosed by the highest peak of the second harmonic peak and the horizontal coordinate; the first amplitude is the amplitude corresponding to the highest peak of the second harmonic peak.

[0014] In one embodiment, the standard second harmonic signal data includes: the second half-width at half-maximum (WHM), the second integral area, and the second amplitude of the standard second harmonic peak. The step of determining harmonic anomaly characteristics, a first difference rate, and a second difference rate based on the second harmonic signal data and the standard second harmonic signal data includes:

[0015] Determine the initial difference rate based on the first half-width and the second half-width;

[0016] Based on the waveform consistency between the second harmonic signal and the standard second harmonic signal, and the initial difference rate, harmonic anomaly characteristics are determined; the waveform consistency is used to characterize the degree of similarity between the second harmonic signal and the standard second harmonic signal.

[0017] The first difference rate is determined based on the first integral area and the second integral area;

[0018] A second difference rate is determined based on the first amplitude and the second amplitude.

[0019] In one embodiment, determining the initial difference rate based on the first half-width and the second half-width includes:

[0020] Determine the half-width variation rate based on the first half-width and the second half-width;

[0021] The initial difference rate is determined based on the half-width at half-maximum (WHM) change rate.

[0022] In one embodiment, the sensor data further includes temperature data, and determining the calibration error parameter based on the harmonic anomaly characteristics, the first difference rate, and the second difference rate includes:

[0023] The temperature direction indication factor is determined based on the difference between the temperature data and the standard temperature.

[0024] The calibration error parameters are obtained by weighting the harmonic anomaly characteristics, the first difference rate, and the second difference rate using the temperature direction indicator factor.

[0025] In one embodiment, determining the harmonic anomaly characteristics based on the waveform consistency between the second harmonic signal and the standard second harmonic signal, and the initial difference rate, includes:

[0026] The first abnormal feature is determined based on the abnormal feature parameters and waveform consistency.

[0027] Based on the first abnormal feature and the initial difference rate, the harmonic abnormal feature is determined.

[0028] In one embodiment, the step of calibrating the initially detected target gas concentration based on the calibration error parameter to obtain the calibrated target gas concentration includes:

[0029] The calibration error parameters are weighted by adjusting the scaling factor to obtain the correction coefficient;

[0030] The initial target gas concentration is weighted based on the correction coefficient to obtain the calibrated target gas concentration.

[0031] Secondly, another embodiment of the present invention provides a multi-sensor data calibration processing system, the system comprising:

[0032] An acquisition module is used to acquire at least two sensor data and standard second harmonic signal data; the sensor data includes a laser intensity signal; the laser intensity signal is used to characterize the laser energy intensity not absorbed by the target gas; the standard second harmonic signal data is used to characterize the ideal second harmonic signal characteristics of a target gas of a specific concentration at a standard temperature; and the second harmonic signal data corresponding to the laser intensity signal is acquired from the sensor data.

[0033] The determination module is used to determine harmonic anomaly characteristics, a first difference rate, and a second difference rate based on the second harmonic signal data and the standard second harmonic signal data. The harmonic anomaly characteristics characterize the degree to which the second harmonic signal deviates from the waveform of the standard second harmonic signal. The first difference rate characterizes the degree of difference between the second harmonic signal and the standard second harmonic signal in the second harmonic peak integral area. The second difference rate characterizes the degree of difference between the second harmonic signal and the standard second harmonic signal in the second harmonic peak amplitude. Based on the harmonic anomaly characteristics, the first difference rate, and the second difference rate, calibration error parameters are determined.

[0034] The module is used to calibrate the initially detected target gas concentration based on the calibration error parameters to obtain the calibrated target gas concentration.

[0035] Thirdly, in another embodiment of the present invention, an electronic device is provided, including a processor, a memory, and a computer program stored in the memory and executable on the processor, wherein the computer program, when executed by the processor, implements the steps of the method described in the first aspect.

[0036] Fourthly, in another embodiment of the present invention, a computer-readable storage medium is provided, on which a computer program is stored, which, when executed by a processor, implements the steps of the method described in the first aspect.

[0037] The present invention has the following beneficial effects:

[0038] This invention first acquires data from at least two sensors and standard second harmonic signal data; it then acquires the second harmonic signal data corresponding to the laser intensity signal from the sensor data; based on the second harmonic signal data and the standard second harmonic signal data, it determines harmonic anomaly characteristics, a first difference rate, and a second difference rate; based on the harmonic anomaly characteristics, the first difference rate, and the second difference rate, it determines calibration error parameters; based on the calibration error parameters, it calibrates the initially detected target gas concentration to obtain the calibrated target gas concentration. In this embodiment, the invention can determine harmonic anomaly characteristics, a first difference rate, and a second difference rate based on the second harmonic signal data and the standard second harmonic signal data, then determine calibration error parameters based on these characteristics, and finally correct the initially detected target gas concentration based on the calibration error parameters, thereby improving calibration accuracy and reducing the deviation between the gas concentration detected by the sensor and the actual gas concentration. Attached Figure Description

[0039] To more clearly illustrate the technical solutions and advantages in the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0040] Figure 1 This is a schematic flowchart illustrating a multi-sensor data calibration processing method according to an embodiment of the present invention.

[0041] Figure 2 This is a schematic diagram of the structure of a multi-sensor data calibration and processing system provided in one embodiment of the present invention;

[0042] Figure 3 This is a schematic diagram of the structure of an electronic device provided in one embodiment of the present invention. Detailed Implementation

[0043] To further illustrate the technical means and effects adopted by the present invention to achieve its intended purpose, the following, in conjunction with the accompanying drawings and preferred embodiments, details the specific implementation, structure, features, and effects of a multi-sensor data calibration processing method, system, and medium proposed according to the present invention. In the following description, different "one embodiment" or "another embodiment" do not necessarily refer to the same embodiment. Furthermore, specific features, structures, or characteristics in one or more embodiments can be combined in any suitable form.

[0044] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention pertains.

[0045] The specific scheme of the multi-sensor data calibration processing method provided by the present invention will be described in detail below with reference to the accompanying drawings.

[0046] This invention proposes a multi-sensor data calibration processing method; please refer to [link / reference]. Figure 1 The diagram illustrates a schematic flowchart of a multi-sensor data calibration processing method according to an embodiment of the present invention, which includes the following steps:

[0047] Step S101: Acquire at least two sensor data and standard second harmonic signal data; the sensor data includes laser intensity signal; the laser intensity signal is used to characterize the laser energy intensity that is not absorbed by the target gas; the standard second harmonic signal data is used to characterize the ideal second harmonic signal characteristics of a target gas at a specific concentration under standard temperature.

[0048] Sensor data refers to the raw detection data collected by multiple sensors, including laser intensity signals and temperature data (used for subsequent temperature interference calibration). The concentration of the target gas can be obtained through sensor data.

[0049] The laser intensity signal refers to the electrical signal corresponding to the laser energy intensity detected by the receiver after the laser sensor emits a laser of a specific wavelength and passes through an environment containing the target gas. It is used to characterize the remaining laser energy intensity that has not been absorbed by the target gas. The higher the gas concentration, the more laser energy is absorbed, and the lower the amplitude of the signal.

[0050] The target gas refers to the combustible gas to be detected (such as methane or carbon monoxide), whose characteristic absorption peak matches the specific wavelength of laser emitted by the laser sensor.

[0051] Standard second harmonic signal data refers to reference signal data pre-stored in a data storage medium. It can be the set of ideal second harmonic signal features corresponding to a specific concentration of target gas at a standard temperature (25 degrees Celsius). It includes core features such as standard half-width, standard integral area, and standard amplitude, and is used to quantify temperature interference and calculate calibration parameters.

[0052] The standard temperature refers to the preset reference temperature for gas detection (e.g., 25 degrees Celsius). At this temperature, the gas spectral absorption characteristics are stable and there is no signal distortion caused by temperature. This is a prerequisite for generating a standard second harmonic signal.

[0053] A specific concentration refers to the target gas concentration value corresponding to the current detection scenario (such as a specific value within the concentration range of 0-25%). Standard second harmonic signal data will be pre-stored according to different concentrations to ensure accurate matching with the gas concentration being detected.

[0054] Ideal second harmonic signal characteristics refer to the second harmonic signal characteristics of a target gas of a specific concentration under standard temperature conditions without temperature interference. These characteristics include waveform, full width at half maximum (FWHM), integral area, and amplitude. They are used to measure whether the actual detection signal is affected by temperature.

[0055] In an embodiment of the present invention, on the one hand, the laser intensity signal is acquired by a sensor as the raw detection data; on the other hand, the ideal second harmonic signal data of a target gas of a specific concentration at a pre-stored standard temperature is called as a calibration benchmark, which is used to quantify temperature interference, derive calibration parameters, and achieve accurate correction of gas concentration by comparing the two types of data.

[0056] For example, at least one sensor may include multiple temperature sensors and multiple laser sensors, and the number of sensors is not limited in the embodiments of the present invention.

[0057] Step S102: Obtain the second harmonic signal data corresponding to the laser intensity signal from the sensor data.

[0058] Second harmonic signal data refers to the derived signal data extracted after modulating and demodulating the laser intensity signal. It includes features such as the half-width at half-maximum (broadening at the highest point of the peak), integral area (area of ​​the region enclosed by the highest peak and the horizontal axis), and amplitude (intensity value corresponding to the highest peak). It is intermediate data used to calculate the concentration of the target gas.

[0059] In an embodiment of the present invention, a laser intensity signal is extracted from the raw data collected by multiple sensors, and then the laser intensity signal is modulated and demodulated using wavelength modulation technology to finally obtain second harmonic signal data containing key features, which is used for subsequent quantification of temperature interference, calculation of calibration error parameters, and accurate derivation of gas concentration.

[0060] Further, the step of acquiring the second harmonic signal data corresponding to the laser intensity signal from the sensor data includes:

[0061] The laser intensity signal is modulated and demodulated to obtain the second harmonic signal data corresponding to the laser intensity signal. The second harmonic signal data includes: the first half-width at half-maximum (WWHM), the first integral area, and the first amplitude of the second harmonic peak. The first WWHM is the half-width at half-maximum corresponding to the highest peak of the second harmonic peak. The first integral area is the area of ​​the region enclosed by the highest peak of the second harmonic peak and the horizontal axis. The first amplitude is the amplitude corresponding to the highest peak of the second harmonic peak.

[0062] For example, the laser intensity signal can be processed using wavelength modulation technology. That is, the laser can be modulated at a frequency of 10kHz and the signal can be demodulated at a frequency of 20kHz. The second harmonic signal carrying gas concentration information can be separated and extracted from the original laser intensity signal, and irrelevant interference can be filtered out.

[0063] For example, the first half-width refers to the half-width at half-width (WHM) corresponding to the highest peak in the second harmonic signal (i.e., the lateral width of the signal waveform at half the height of the highest peak). It is a key parameter characterizing the degree of signal broadening and is significantly affected by temperature (high temperature will lead to increased broadening, while low temperature will lead to decreased broadening).

[0064] For example, the first integral area refers to the area enclosed by the highest peak in the second harmonic signal and the horizontal axis (time / wavelength axis), which is used to reflect the total energy of the signal and is less affected by temperature.

[0065] For example, the first amplitude refers to the intensity value (vertical peak value) corresponding to the highest peak in the second harmonic signal, which has a stable positive correlation with the target gas concentration and is easily affected by temperature changes, thus deviating from the true value.

[0066] The highest peak of the second harmonic refers to the core peak with the greatest intensity in the second harmonic signal (not a secondary peak or noise peak). Its characteristics (full width at half maximum, integral area, amplitude) directly reflect the absorption characteristics of the target gas, avoiding interference from secondary signals.

[0067] In an embodiment of the present invention, the original laser intensity signal collected by the laser sensor is modulated and demodulated using wavelength modulation technology to extract the second harmonic signal data carrying target gas information; then, the first half-width, first integral area, and first amplitude (excluding secondary peak interference) corresponding to the highest peak are extracted from the second harmonic signal data for comparison with the standard second harmonic signal, thereby quantifying temperature interference and determining calibration error parameters.

[0068] Step S103: Based on the second harmonic signal data and the standard second harmonic signal data, determine the harmonic anomaly characteristics, the first difference rate, and the second difference rate; the harmonic anomaly characteristics are used to characterize the degree to which the second harmonic signal deviates from the waveform of the standard second harmonic signal; the first difference rate is used to characterize the degree of difference between the second harmonic signal and the standard second harmonic signal in the second harmonic peak integral area; the second difference rate is used to characterize the degree of difference between the second harmonic signal and the standard second harmonic signal in the second harmonic peak amplitude.

[0069] Harmonic anomaly characteristics refer to dimensionless parameters calculated from the waveform consistency between the second harmonic signal and the standard second harmonic signal, and the first difference rate corresponding to the full width at half maximum (FWHM). These parameters characterize the degree of waveform anomaly caused by temperature changes, where the second harmonic signal deviates from the standard second harmonic signal. The larger the value, the more severe the waveform distortion.

[0070] The first difference rate refers to the absolute value of the rate of change of the second harmonic signal and the standard second harmonic signal on the integral area of ​​the second harmonic peak. It is used to characterize the degree of difference between the two on the integral area (energy distribution). The higher the value, the more significant the influence of temperature on the signal energy distribution.

[0071] The second difference rate refers to the absolute value of the rate of change of the second harmonic signal and the standard second harmonic signal in the peak amplitude of the second harmonic. It is used to characterize the degree of difference between the two in peak intensity. The higher the value, the more obvious the interference of temperature on the signal peak.

[0072] It should be noted that the calculation order of the first difference rate and the second difference rate is not limited in the embodiments of the present invention.

[0073] The area of ​​the second harmonic peak integral refers to the area enclosed by the highest peak in the second harmonic signal and the horizontal axis. It is used to characterize the total energy of the signal, is less affected by temperature, and is an important reference dimension for quantifying amplitude differences.

[0074] The second harmonic peak amplitude refers to the intensity value corresponding to the highest peak in the second harmonic signal. It is positively correlated with the concentration of the target gas and is easily affected by temperature changes.

[0075] In an embodiment of the present invention, the actual detected second harmonic signal data is compared with the standard second harmonic signal data. The temperature interference is quantified in multiple dimensions by calculation, first difference rate and second difference rate. The harmonic anomaly feature is used to characterize the degree of waveform distortion, the first difference rate is used to characterize the degree of difference in integral area (energy distribution) and the second difference rate is used to characterize the degree of difference in amplitude (peak intensity).

[0076] Further, the standard second harmonic signal data includes: the second half-width, second integral area, and second amplitude of the standard second harmonic peak. Based on the second harmonic signal data and the standard second harmonic signal data, harmonic anomaly characteristics, a first difference rate, and a second difference rate are determined, including:

[0077] Determine the initial difference rate based on the first half-width and the second half-width.

[0078] The first half-width at half-maximum (HWHM) refers to the HWHM corresponding to the highest peak in the second harmonic signal obtained after the laser sensor detects the target gas (such as methane or carbon monoxide) and modulates it (i.e., the lateral width of the signal waveform at half the height of the highest peak). It is a characteristic parameter of the actual detected signal after being affected by ambient temperature interference, and is denoted as... .

[0079] The second half-width refers to the full width at half maximum (WHM) of the highest peak in the standard second harmonic signal pre-stored in the data storage medium. This standard signal is an ideal signal characteristic parameter consistent with the current preliminary detection concentration at a standard temperature (25 degrees Celsius), denoted as h.

[0080] The initial difference rate is a dimensionless parameter that can be calculated from the first half-width and the second half-width. It is used to characterize the degree of difference between the current second harmonic signal and the standard second harmonic signal at half-width, reflecting the signal broadening / narrowing interference caused by temperature.

[0081] In embodiments of the present invention, based on the first half-width (actual half-width) of the current detected signal and the second half-width (ideal half-width) of the standard signal, a strategy for calculating the absolute value of the rate of change is employed. The difference in second harmonic signal broadening caused by temperature interference was obtained.

[0082] Harmonic anomaly characteristics are determined based on the waveform consistency between the second harmonic signal and the standard second harmonic signal, and the initial difference rate; waveform consistency is used to characterize the degree of similarity between the second harmonic signal and the standard second harmonic signal.

[0083] Waveform consistency refers to the degree of similarity between a second harmonic signal and a standard second harmonic signal, calculated using similarity metrics such as the Pearson correlation coefficient. To avoid negative values ​​for the Pearson correlation coefficient, a different approach is used. The method maps the Pearson correlation coefficient p to the range of 0-1, and the mapped Pearson correlation coefficient is denoted as the waveform consistency. The larger the value, the more similar the waveforms are and the smaller the temperature interference; the smaller the value, the more severe the waveform distortion and the greater the temperature interference.

[0084] In embodiments of the present invention, the waveform similarity (waveform consistency) between the second harmonic signal and the standard second harmonic signal and the difference in their half-width at half-maximum (initial difference rate) are used to determine the waveform consistency. Calculations are performed to obtain harmonic anomaly characteristics that can quantify the degree of signal waveform distortion caused by temperature interference.

[0085] The first difference rate is determined based on the first integral area and the second integral area.

[0086] The first integral area refers to the area enclosed by the highest peak and the horizontal axis in the second harmonic signal obtained after modulation and demodulation of the target gas (such as methane or carbon monoxide) detected by the laser sensor (reflecting the total energy of the current signal). It is a characteristic parameter of the actual detected signal after interference from ambient temperature, denoted as... .

[0087] The second integral area refers to the area enclosed by the highest peak and the horizontal axis in the standard second harmonic signal pre-stored in the data storage medium. This standard signal is an ideal signal characteristic parameter consistent with the current preliminary detection concentration at a standard temperature (25 degrees Celsius), denoted as... .

[0088] The first difference rate is a dimensionless parameter that can be calculated from the first integral area and the second integral area, and is calculated based on the absolute value of the rate of change. The value is used to characterize the degree of difference between the current second harmonic signal and the standard second harmonic signal in terms of the integral area (energy distribution). The higher the value, the more significant the interference of temperature on the signal energy distribution.

[0089] In an embodiment of the present invention, the difference in energy distribution of the second harmonic signal caused by temperature interference is quantified based on the first integral area (actual energy distribution) of the current detection signal and the second integral area (ideal energy distribution) of the standard signal, according to the method for calculating the absolute value of the rate of change.

[0090] The second difference rate is determined based on the first amplitude and the second amplitude.

[0091] The first amplitude refers to the intensity value (vertical peak value) corresponding to the highest peak in the second harmonic signal obtained after modulation and demodulation of the target gas (such as methane or carbon monoxide) detected by the current laser sensor. It is a characteristic parameter of the actual detection signal after interference from ambient temperature, denoted as... This parameter is positively correlated with the target gas concentration, but it is prone to deviating from the true value due to temperature changes.

[0092] For example, the second amplitude value may include: the intensity value corresponding to the highest peak in the standard second harmonic signal, which is pre-stored in the data storage medium under the first scenario (same concentration standard signal), at a standard temperature (25 degrees Celsius), and consistent with the current preliminary detection concentration (denoted as ). In the second scenario (with the same integral area standard signal), the intensity value corresponding to the highest peak of the reference standard second harmonic signal selected from all standard second harmonic signals that has the closest integral area to the current second harmonic signal (denoted as ); ).

[0093] The second difference rate can be a dimensionless parameter calculated by comparing the first amplitude with the second amplitude of a standard signal with the same integral area. This is based on the principle of calculating the absolute value of the rate of change (…). This yields the degree of difference in amplitude (peak intensity) between the current second harmonic signal and the reference standard second harmonic signal. The higher the value, the more significant the interference of temperature on the signal peak.

[0094] For example, the higher the degree of abnormality of the second harmonic signal waveform of the i-th laser sensor, the greater the deviation of the measured second harmonic signal from the actual second harmonic signal. In this case, the first difference rate and the second difference rate are also greater. The first difference rate and the second difference rate are calculated from the perspectives of the same integral area and the same amplitude, respectively, to represent the difference rate between the second harmonic signal detected by the i-th laser sensor and the standard harmonic signal. The greater the difference, the greater the deviation between the initially measured gas concentration and the actual concentration.

[0095] In an embodiment of the present invention, based on the first amplitude (actual peak intensity) of the current detected signal and the second amplitude (ideal peak intensity) of the reference standard second harmonic signal that is closest to the integral area of ​​the current signal, the peak difference of the second harmonic signal caused by temperature interference can be obtained by the absolute value calculation method of the rate of change. That is, the second difference rate can quantify the temperature interference from the peak intensity dimension.

[0096] Further, determining the initial difference rate based on the first half-width and the second half-width includes:

[0097] Determine the half-width variation rate based on the first half-width and the second half-width.

[0098] The initial difference rate is determined based on the rate of change of half-width at half-maximum.

[0099] It should be noted that the half-width ratio is a dimensionless parameter calculated from the first half-width and the second half-width. Its core purpose is to quantify the difference between the current second harmonic signal and the standard second harmonic signal in the half-width. The calculation principle is the rate of change, and then the initial difference rate is obtained by the absolute value of the half-width ratio.

[0100] Furthermore, the determination of harmonic anomaly characteristics based on the waveform consistency between the second harmonic signal and the standard second harmonic signal, and the initial difference rate, includes:

[0101] The first abnormal feature is determined based on the abnormal feature parameters and waveform consistency.

[0102] For example, abnormal feature parameters refer to Waveform consistency refers to Based on the abnormal feature parameters and waveform consistency, the first abnormal feature obtained refers to .

[0103] Based on the first anomalous feature and the initial difference rate, the harmonic anomalous features are determined.

[0104] For example, the characteristics of harmonic anomalies can be represented as:

[0105] ;

[0106] In the formula, This represents the harmonic anomaly characteristics of the second harmonic signal acquired by the i-th laser sensor. This represents the waveform consistency of the second harmonic signal acquired by the i-th laser sensor. This represents the initial difference rate of the second harmonic signal acquired by the i-th laser sensor. For abnormal characteristic parameters, to avoid the denominator being 0 which would render the calculation meaningless, the value range is from 0.01 to 0.1. The value of is not specifically restricted, for example, The value can be 0.05. The smaller the waveform consistency and the larger the initial difference rate, the larger the harmonic anomaly characteristic value, indicating that the second harmonic signal corresponding to the current measured gas concentration is more significant due to temperature changes.

[0107] It should be noted that the dimensions are as follows: is the normalized Pearson correlation coefficient, dimensionless; These are anomalous characteristic parameters, dimensionless; Calculated based on the principle of rate of change, it is dimensionless; therefore, the harmonic anomaly characteristics... Dimensionless.

[0108] For example, due to temperature changes, the waveform of the second harmonic signal acquired by the laser sensor will change, reducing its similarity to the standard second harmonic signal and thus decreasing waveform consistency. The value is small because the amplitude of the measured second harmonic signal is the same as that of the standard second harmonic signal with the same gas concentration. The waveform difference is mainly reflected in the harmonic broadening. The smaller the value, the more accurate the calculation of the first difference rate with respect to half-width. The two are relatively large, and therefore negatively correlated; thus, the first difference rate can be considered. Waveform consistency Calculation of harmonic anomaly characteristics using ratios This is used to characterize the significance of the second harmonic signal abnormality corresponding to the currently measured gas concentration due to temperature changes. and negative correlation and Positive correlation.

[0109] Step S104: Determine the calibration error parameters based on the harmonic anomaly characteristics, the first difference rate, and the second difference rate.

[0110] The calibration error parameter is a dimensionless parameter calculated based on harmonic anomaly characteristics, first difference rate, second difference rate, and temperature direction indicator factor. It ranges from (-1, 1) and is used to characterize the correction value of temperature change on the gas concentration initially measured by the laser sensor. The larger the absolute value, the greater the deviation that needs to be corrected.

[0111] Furthermore, the sensor data also includes temperature data, and the determination of calibration error parameters based on harmonic anomaly characteristics, a first difference rate, and a second difference rate includes:

[0112] The temperature direction indicator factor is determined based on the difference between the temperature data and the standard temperature.

[0113] Temperature data refers to the actual temperature value of the current detection environment (such as a home kitchen) collected by a temperature sensor. It is the raw data that reflects the true state of the ambient temperature.

[0114] The standard temperature refers to the preset reference temperature for gas concentration detection (e.g., 25 degrees Celsius). At this temperature, the gas spectral absorption characteristics are stable and there is no signal distortion caused by temperature. It serves as a reference for generating standard second harmonic signals and measuring temperature interference.

[0115] The difference refers to the calculated difference between the current ambient temperature data and the standard temperature (i.e., temperature data - standard temperature). Its positive or negative sign directly reflects the direction of deviation of the current temperature from the standard temperature (too high / too low), and the magnitude of the value reflects the degree of deviation.

[0116] Temperature direction indicator factor is denoted as It is a dimensionless parameter determined based on the difference between temperature data and standard temperature. It takes only 0, 1 or -1 and is used to determine the direction of concentration calibration (upward / downward / no calibration required). It is a key factor in calculating calibration error parameters.

[0117] In an embodiment of the present invention, the difference between the current ambient temperature data and the standard temperature (25°C) is used as the basis for judgment. The direction of temperature interference is locked by the positive or negative value of the difference, and then the value of the temperature direction indicator factor is determined (difference > 0 takes 1, difference < 0 takes -1, difference = 0 takes 0). This provides a calibration direction for subsequent calibration error parameter calculation, ensuring that the concentration calibration can accurately match the actual impact of temperature interference (calibrate upwards at high temperatures, calibrate downwards at low temperatures, and do not calibrate at normal temperatures).

[0118] The calibration error parameters are obtained by weighting the harmonic anomaly characteristics, the first difference rate, and the second difference rate using a temperature direction indicator factor.

[0119] For example, the calibration error parameter can be expressed as:

[0120] ;

[0121] In the formula, Let represent the calibration error parameter of the i-th laser sensor, with a range of (-1, 1). Represents the hyperbolic tangent function. The temperature direction indicator factor is used in everyday production and life, such as in kitchens. Increased temperature leads to a decrease in the amplitude and broadening of the second harmonic signal, resulting in a lower detected concentration of combustible gases; conversely, decreased temperature leads to an increase in the amplitude and narrowing of the second harmonic signal, resulting in a higher detected concentration of combustible gases. Therefore... The value can be 0, 1, or -1, determined by the difference between the current temperature measured by the temperature sensor and the standard temperature. If the difference is greater than 0, it indicates that the current temperature is high, which will lead to an underestimation of the gas concentration in the initial detection. Set the value to 1, and adjust the temperature upwards; if the difference is less than 0, it indicates that the current temperature is low, which will lead to an initially higher gas concentration. Set the value to -1 to adjust the temperature downwards; if the difference is 0, it means the current temperature is the same as the standard temperature, and the gas concentration detection accuracy of the laser sensor is basically unaffected by temperature, so no calibration is required. Take 0, This represents the weighting coefficient, which ranges from 0 to 1. In the embodiments of this invention, this value is not limited; for example, the weighting coefficient can be 0.5. , Let represent the first difference rate and the second difference rate of the second harmonic signal acquired by the i-th laser sensor, respectively. The larger the harmonic anomaly characteristics, the larger the first difference rate, and the larger the second difference rate, the higher the calibration error parameter. The larger the value, the greater the absolute value of the correction value for the gas concentration initially measured by the laser sensor under the influence of temperature changes.

[0122] It should be noted that, This represents a temperature direction indicator factor, which is dimensionless. , All parameters are calculated based on the principle of rate of change and are dimensionless; therefore, the calibration error parameters... Dimensionless.

[0123] For example, the higher the degree of abnormality in the second harmonic signal waveform of the laser sensor, the greater the deviation of the measured second harmonic signal from the actual second harmonic signal. Consequently, the second and third difference rates are also larger. The second and third difference rates are calculated from the perspectives of the same amplitude and the same integral area, respectively, to determine the difference rate between the second harmonic signal detected by the i-th laser sensor and the standard harmonic signal. Therefore, a weighted fusion method is used to represent the degree of difference between the initially measured second harmonic signal and the standard second harmonic signal. Multiplying the harmonic feature with the weighted fusion feature means that when the signal exhibits consistent temperature drift characteristics in shape and energy distribution, the model outputs a larger correction value, thereby improving the robustness of the calibration, avoiding erroneous calibration caused by single-feature noise, and obtaining accurate calibration error parameters for the laser sensor. This represents the correction value for the gas concentration initially measured by the laser sensor under the influence of temperature changes, where... , , All with Proportional.

[0124] Step S105: Based on the calibration error parameters, the initial detected target gas concentration is calibrated to obtain the calibrated target gas concentration.

[0125] The initial detected target gas concentration refers to the target gas concentration value initially derived from the amplitude of the second harmonic signal of the laser sensor, combined with the preset positive correlation between amplitude and concentration at standard temperature (obtained through least squares fitting). (Denotes as...) This value is uncorrected and may be distorted due to the ambient temperature deviating from the standard temperature (25℃) (too small at high temperatures and too large at low temperatures).

[0126] The target gas refers to the combustible gas to be detected (such as methane, carbon monoxide, etc.), but is not limited in the embodiments of the present invention.

[0127] Correction processing refers to the process of applying a correction strategy based on calibration error parameters. This involves adjusting the initial detection concentration proportionally. Specifically, it corrects for deviations in the initial concentration based on the degree and direction of temperature interference, making the result closer to the true concentration.

[0128] The corrected target gas concentration refers to the final gas concentration value obtained after correction processing. It has eliminated the detection distortion caused by temperature changes and can accurately reflect the quantitative result of the true concentration of the target gas in the environment. It can be directly used in scenarios such as gas leak monitoring and risk warning.

[0129] In the embodiments of the present invention, based on the calibration error parameters, the initial detection concentration that has not undergone temperature correction is specifically adjusted through a correction strategy, and finally a correction result that eliminates temperature interference and reflects the true concentration of the target gas is output. This can correct the distorted detection value affected by temperature and obtain an accurate true concentration value, thus solving the problem of concentration detection accuracy of laser sensors in temperature fluctuation environments.

[0130] Further, the calibration process based on calibration error parameters to obtain the calibrated target gas concentration includes:

[0131] The calibration error parameters are weighted by adjusting the proportional coefficient to obtain the correction coefficient.

[0132] For example, assume the adjustment ratio is The correction factor is .

[0133] The initial target gas concentration is weighted based on the correction coefficient to obtain the calibrated target gas concentration.

[0134] For example, suppose the initial target gas concentration is The corrected target gas concentration is .

[0135] For example, the i-th laser sensor initially detects a methane concentration of... The calibrated concentration is , To adjust the proportional parameter and avoid excessive concentration adjustments, its preset range is (0.2, 0.4). This range is not limited in the embodiments of the present invention, and its value is related to the temperature sensitivity coefficient of the sensor, which can be obtained through experimental calibration. In the implementation of the present invention, The value is 0.3. If the temperature is higher than the standard temperature, the measured methane concentration will be... Small A value greater than 0 indicates that the methane concentration has been calibrated using a coefficient. If the temperature is lower than the standard temperature, the measured methane concentration will be lower. Large Less than 0, methane concentration calibrated by coefficient. If the temperature is equal to the standard temperature, the initially measured methane concentration is not affected by temperature. The value is equal to 0, so no calibration of the methane concentration is required.

[0136] It should be noted that if the ambient temperature is high, the spectral absorption coefficient of the gas decreases, resulting in a lower gas concentration detected by the laser sensor. Conversely, if the ambient temperature is low, the spectral absorption coefficient of the gas increases, resulting in a higher gas concentration detected by the laser sensor. Therefore, the detection results of the laser sensor need to be corrected according to the ambient temperature.

[0137] For example, the initial gas concentration can be determined based on the positive correlation between the first amplitude of the second harmonic signal data and the gas concentration; the positive correlation is obtained by measuring the corresponding second harmonic amplitude by changing the gas concentration at a standard temperature, and then fitting it using the least squares method; then, target standard second harmonic signal data with the same initial detection concentration is retrieved from the standard second harmonic signal data for comparison with the second harmonic signal data.

[0138] In summary, this invention first acquires data from at least two sensors and standard second harmonic signal data; it then acquires the second harmonic signal data corresponding to the laser intensity signal from the sensor data; based on the second harmonic signal data and the standard second harmonic signal data, it determines harmonic anomaly characteristics, a first difference rate, and a second difference rate; based on the harmonic anomaly characteristics, the first difference rate, and the second difference rate, it determines calibration error parameters; based on the calibration error parameters, it calibrates the initially detected target gas concentration to obtain the calibrated target gas concentration. This embodiment of the invention can determine harmonic anomaly characteristics, a first difference rate, and a second difference rate based on the second harmonic signal data and the standard second harmonic signal data, and then determine calibration error parameters based on these characteristics. Finally, it corrects the initially detected target gas concentration based on the calibration error parameters, improving calibration accuracy and reducing the deviation between the gas concentration detected by the sensor and the actual gas concentration.

[0139] This invention proposes a multi-sensor data calibration and processing system; please refer to [link / reference]. Figure 2 The diagram illustrates the structure of a multi-sensor data calibration processing system 200 according to an embodiment of the present invention. The system includes:

[0140] The acquisition module 201 is used to acquire at least two sensor data and standard second harmonic signal data; the sensor data includes a laser intensity signal; the laser intensity signal is used to characterize the laser energy intensity that is not absorbed by the target gas; the standard second harmonic signal data is used to characterize the ideal second harmonic signal characteristics of a target gas of a specific concentration at a standard temperature; and the second harmonic signal data corresponding to the laser intensity signal is acquired from the sensor data.

[0141] The determining module 202 is used to determine harmonic anomaly characteristics, a first difference rate, and a second difference rate based on the second harmonic signal data and the standard second harmonic signal data. The harmonic anomaly characteristics characterize the degree to which the second harmonic signal deviates from the waveform of the standard second harmonic signal. The first difference rate characterizes the degree of difference between the second harmonic signal and the standard second harmonic signal in the second harmonic peak integral area. The second difference rate characterizes the degree of difference between the second harmonic signal and the standard second harmonic signal in the second harmonic peak amplitude. Based on the harmonic anomaly characteristics, the first difference rate, and the second difference rate, a calibration error parameter is determined.

[0142] The module 203 is used to calibrate the initially detected target gas concentration based on the calibration error parameters to obtain the calibrated target gas concentration.

[0143] It should be noted that the system provided in the above embodiments is only an example of the division of the above functional modules. In practical applications, the above functions can be assigned to different functional modules as needed, that is, the internal structure of the computer device can be divided into different functional modules to complete all or part of the functions described above. In addition, the multi-sensor data calibration processing system provided in the above embodiments and the embodiment of a multi-sensor data calibration processing method belong to the same concept. The specific implementation process is detailed in the method embodiment and will not be repeated here.

[0144] This invention also provides an electronic device. Please refer to [link to relevant documentation]. Figure 3 The electronic device may include a processor 301, a memory 302, and a program 3021 stored in the memory 302 and capable of running on the processor 301.

[0145] When program 3021 is executed by processor 301, it can achieve the following: Figure 1 Any steps in the corresponding method embodiments and the achievement of the same beneficial effects will not be repeated here.

[0146] Those skilled in the art will understand that all or part of the steps of the methods described in the above embodiments can be implemented by hardware related to program instructions, and the program can be stored in a readable medium.

[0147] This invention also provides a readable storage medium storing a computer program, which, when executed by a processor, can perform the above-described functions. Figure 1 Any step in the corresponding method embodiment can achieve the same technical effect, and will not be repeated here to avoid repetition.

[0148] The computer-readable storage medium of this invention can be any combination of one or more computer-readable media. The computer-readable medium can be a computer-readable signal medium or a computer-readable storage medium. For example, a computer-readable storage medium can be an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination thereof. More specific examples of computer-readable storage media (a non-exhaustive list) include: an electrical connection having one or more wires, a portable computer disk, a hard disk, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), optical fiber, portable compact disk read-only memory (CD-ROM), optical storage device, magnetic storage device, or any suitable combination thereof. In this document, a computer-readable storage medium can be any tangible medium that contains or stores a program that can be used by or in conjunction with an instruction execution system, apparatus, or device.

[0149] Computer-readable signal media may include data signals propagated in baseband or as part of a carrier wave, carrying computer-readable program code. Such propagated data signals may take various forms, including but not limited to electromagnetic signals, optical signals, or any suitable combination thereof. Computer-readable signal media may also be any computer-readable medium other than computer-readable storage media, capable of sending, propagating, or transmitting programs for use by or in connection with an instruction execution system, apparatus, or device.

[0150] The program code contained on the storage medium can be transmitted using any suitable medium, including but not limited to wireless, wire, optical fiber, RF, etc., or any suitable combination thereof.

[0151] Computer program code for performing the operations of this invention can be written in one or more programming languages ​​or a combination thereof, including object-oriented programming languages ​​such as Java, Smalltalk, and C++, as well as conventional procedural programming languages ​​such as "C" or similar programming languages. The program code can be executed entirely on the user's computer, partially on the user's computer, as a standalone software package, partially on the user's computer and partially on a remote computer, or entirely on a remote computer or terminal. In cases involving remote computers, the remote computer can be connected to the user's computer via any type of network—including a local area network (LAN) or a wide area network (WAN)—or can be connected to an external computer (e.g., via the Internet using an Internet service provider).

[0152] This invention also provides a computer program product that, when run on a computer, causes the computer to perform the aforementioned related steps to implement the multi-sensor data calibration processing method provided in the above embodiments.

[0153] It should be noted that the order of the above embodiments of the present invention is merely for descriptive purposes and does not represent the superiority or inferiority of the embodiments. The processes depicted in the accompanying drawings do not necessarily require a specific or sequential order to achieve the desired result. In some embodiments, multitasking and parallel processing are also possible or may be advantageous.

[0154] The various embodiments in this specification are described in a progressive manner. The same or similar parts between the various embodiments can be referred to each other. Each embodiment focuses on describing the differences from other embodiments.

Claims

1. A multi-sensor data calibration processing method, characterized in that, The method includes: Acquire at least two sensor data and standard second harmonic signal data; the sensor data includes a laser intensity signal; the laser intensity signal is used to characterize the laser energy intensity not absorbed by the target gas; the standard second harmonic signal data is used to characterize the ideal second harmonic signal characteristics of a target gas at a specific concentration under standard temperature; Obtain the second harmonic signal data corresponding to the laser intensity signal from the sensor data; Based on the second harmonic signal data and the standard second harmonic signal data, harmonic anomaly characteristics, a first difference rate, and a second difference rate are determined. The harmonic anomaly characteristics characterize the degree to which the second harmonic signal deviates from the waveform of the standard second harmonic signal. The first difference rate characterizes the degree of difference between the second harmonic signal and the standard second harmonic signal in the second harmonic peak integral area. The second difference rate characterizes the degree of difference between the second harmonic signal and the standard second harmonic signal in the second harmonic peak amplitude. Based on the harmonic anomaly characteristics, the first difference rate, and the second difference rate, the calibration error parameters are determined. Based on the calibration error parameters, the initial detected target gas concentration is calibrated to obtain the calibrated target gas concentration.

2. The multi-sensor data calibration processing method according to claim 1, characterized in that, The step of obtaining the second harmonic signal data corresponding to the laser intensity signal from the sensor data includes: The laser intensity signal is modulated and demodulated to obtain the second harmonic signal data corresponding to the laser intensity signal; the second harmonic signal data includes: the first half-width at half maximum (WHM), the first integral area, and the first amplitude of the second harmonic peak; the first WHM is the half-width at half maximum corresponding to the highest peak of the second harmonic peak; the first integral area is the area of ​​the region enclosed by the highest peak of the second harmonic peak and the horizontal coordinate; the first amplitude is the amplitude corresponding to the highest peak of the second harmonic peak.

3. The multi-sensor data calibration processing method according to claim 2, characterized in that, The standard second harmonic signal data includes: the second half-width, second integral area, and second amplitude of the standard second harmonic peak. The determination of harmonic anomaly characteristics, a first difference rate, and a second difference rate based on the second harmonic signal data and the standard second harmonic signal data includes: Determine the initial difference rate based on the first half-width and the second half-width; Based on the waveform consistency between the second harmonic signal and the standard second harmonic signal, and the initial difference rate, harmonic anomaly characteristics are determined; the waveform consistency is used to characterize the degree of similarity between the second harmonic signal and the standard second harmonic signal. The first difference rate is determined based on the first integral area and the second integral area; A second difference rate is determined based on the first amplitude and the second amplitude.

4. The multi-sensor data calibration processing method according to claim 3, characterized in that, The step of determining the initial difference rate based on the first half-width and the second half-width includes: Determine the half-width variation rate based on the first half-width and the second half-width; The initial difference rate is determined based on the half-width at half-maximum (WHM) change rate.

5. The multi-sensor data calibration processing method according to claim 1, characterized in that, The sensor data also includes temperature data. The step of determining the calibration error parameters based on the harmonic anomaly characteristics, the first difference rate, and the second difference rate includes: The temperature direction indication factor is determined based on the difference between the temperature data and the standard temperature. The calibration error parameters are obtained by weighting the harmonic anomaly characteristics, the first difference rate, and the second difference rate using the temperature direction indicator factor.

6. The multi-sensor data calibration processing method according to claim 3, characterized in that, The determination of harmonic anomaly characteristics based on the waveform consistency between the second harmonic signal and the standard second harmonic signal, and the initial difference rate, includes: The first abnormal feature is determined based on the abnormal feature parameters and waveform consistency. Based on the first abnormal feature and the initial difference rate, the harmonic abnormal feature is determined.

7. The multi-sensor data calibration processing method according to claim 1, characterized in that, The step of calibrating the initially detected target gas concentration based on the calibration error parameter to obtain the calibrated target gas concentration includes: The calibration error parameters are weighted by adjusting the scaling factor to obtain the correction coefficient; The initial target gas concentration is weighted based on the correction coefficient to obtain the calibrated target gas concentration.

8. A multi-sensor data calibration and processing system, characterized in that, The system includes: An acquisition module is used to acquire at least two sensor data and standard second harmonic signal data; the sensor data includes a laser intensity signal; the laser intensity signal is used to characterize the laser energy intensity not absorbed by the target gas; the standard second harmonic signal data is used to characterize the ideal second harmonic signal characteristics of a target gas of a specific concentration at a standard temperature; and the second harmonic signal data corresponding to the laser intensity signal is acquired from the sensor data. The determination module is used to determine harmonic anomaly characteristics, a first difference rate, and a second difference rate based on the second harmonic signal data and the standard second harmonic signal data. The harmonic anomaly characteristics characterize the degree to which the second harmonic signal deviates from the waveform of the standard second harmonic signal. The first difference rate characterizes the degree of difference between the second harmonic signal and the standard second harmonic signal in the second harmonic peak integral area. The second difference rate characterizes the degree of difference between the second harmonic signal and the standard second harmonic signal in the second harmonic peak amplitude. Based on the harmonic anomaly characteristics, the first difference rate, and the second difference rate, calibration error parameters are determined. The module is used to calibrate the initially detected target gas concentration based on the calibration error parameters to obtain the calibrated target gas concentration.

9. The multi-sensor data calibration and processing system according to claim 8, characterized in that, The acquisition module includes: The acquisition submodule is used to modulate and demodulate the laser intensity signal to acquire the second harmonic signal data corresponding to the laser intensity signal; the second harmonic signal data includes: the first half-width at half maximum (WHM), the first integral area, and the first amplitude of the second harmonic peak; the first WHM is the half-width at half maximum corresponding to the highest peak of the second harmonic peak; the first integral area is the area of ​​the region enclosed by the highest peak of the second harmonic peak and the horizontal coordinate; the first amplitude is the amplitude corresponding to the highest peak of the second harmonic peak.

10. A readable storage medium, characterized in that, When the instructions in the readable storage medium are executed by the processor of the electronic device, the processor is enabled to perform the multi-sensor data calibration processing method as described in any one of claims 1 to 7.

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