Water vapor-based calibration system of laser photoacoustic spectrometry oil gas detection device

Abstract

The invention relates to a water vapor-based calibration system for a device for detecting gas in oil through laser photoacoustic spectrometry, and the system comprises an automatic calibration module which is used for switching a gas detection device to be in a calibration mode; the water vapor generator is communicated with the photoacoustic cell in the gas detection device and is used for generating water vapor to enter the photoacoustic cell; the mass flow controller is used for controlling the flow of the water vapor generated by the water vapor generator entering the photoacoustic cell; the data processing module is used for storing factory calibration parameters, receiving real-time photoacoustic signals and storing the real-time photoacoustic signals as real-time calibration data, and the real-time photoacoustic signals are generated when the gas detection device is in a calibration mode and light waves emitted by a laser in the gas detection device excite a photoacoustic cell absorbing water vapor. And the wavelength deviation and the signal intensity deviation are calibrated based on the real-time calibration data and factory calibration parameters. The system provided by the invention does not need to depend on characteristic gas, can be automatically operated, and can ensure long-term accurate and stable operation of the oil gas online monitoring device.

Description

Technical Field

[0001] The present invention relates to the field of on-line gas detection, and particularly to a calibration system for a gas detection device in oil based on laser photoacoustic spectroscopy using water vapor. Background Art

[0002] Laser photoacoustic spectroscopy technology plays an important role in the on-line detection of transformer oil-gas. Compared with traditional gas detection methods, photoacoustic spectroscopy technology has the advantages of high detection sensitivity, low detection limit, and no consumables. Since photoacoustic spectroscopy generally uses a mid-infrared broadband light source plus a narrowband filter and is realized by mechanical modulation of a chopper, the overall signal level is relatively high, but it is greatly affected by water vapor, there are many mutual interferences among the measured gases, and it is also affected by other unmeasured gases and mechanical modulation interference. The interference of water vapor and other gases will reduce the signal intensity and affect the detection sensitivity. The mutual interference among the measured gases will reduce the selectivity for the target gas; the interference of mechanical modulation may cause signal fluctuations and affect the stability of the equipment.

[0003] The narrow bandwidth and near-infrared band characteristics of DFB lasers make them have strong anti-interference ability, less affected by water vapor, other gases, and mechanical modulation, which is beneficial to improving the sensitivity of the equipment. Therefore, DFB lasers are widely used in on-line detection devices for transformer oil-gas. However, the disadvantage of DFB lasers is that as the light source laser, after long-term use, the working wavelength will drift, the output optical power will decay, and the hardware does not match the original calibration data, ultimately resulting in deviations in the monitoring data.

[0004] Therefore, the technology of recalibrating gas detection equipment based on laser photoacoustic spectroscopy is extremely crucial. Traditional calibration methods rely on standard gases of characteristic oil-gas as calibration sources. To detect multiple gases, multiple sets of standard gases need to be equipped. Characteristic gases such as acetylene, methane, ethylene, etc. are flammable and explosive, which makes it difficult to frequently replace gases during calibration, increasing the calibration operation difficulty. The stacking of multiple flammable and explosive gases on-site increases the complexity of on-site maintenance. Summary of the Invention

[0005] The present invention provides a calibration system for a gas detection device in oil based on laser photoacoustic spectroscopy using water vapor. It does not rely on standard gases of characteristic gases as calibration sources. By introducing a water vapor generator, the water vapor absorption wavelength (λ0) and calibration coefficient (x0) of each laser are recorded during factory calibration, and during subsequent use, the absorption coefficient (x1) is recalculated through an automatic calibration module to generate a calibration compensation factor (f = x1 / x0) for correcting the wavelength drift and power decay of the laser. This method does not require manual intervention or standard gases, and can ensure the long-term accuracy and stability of the monitoring device.

[0006] The solution of the present invention to the above technical problems is as follows: A calibration system for a gas detection device in oil based on laser photoacoustic spectroscopy of water vapor, comprising an automatic calibration module, a water vapor generator, a mass flow controller, and a data processing module;

[0007] The automatic calibration module is used to switch the gas detection device to the calibration mode;

[0008] The water vapor generator is connected to the photoacoustic cell in the gas detection device and is used to generate water vapor and enter the photoacoustic cell;

[0009] The mass flow controller is used to control the flow rate of the water vapor generated by the water vapor generator entering the photoacoustic cell;

[0010] The data processing module is used to store the factory calibration parameters, receive the real-time photoacoustic signal, store the real-time photoacoustic signal as real-time calibration data. The real-time photoacoustic signal is generated when the gas detection device is in the calibration mode, and the light wave emitted by the laser in the gas detection device excites the photoacoustic cell after absorbing water vapor. And based on the real-time calibration data and the factory calibration parameters, the wavelength deviation and the signal intensity deviation are calibrated.

[0011] Preferably, the system further includes a main control board, which is used to send a tuning instruction to the laser, control the start and stop of the water vapor generator and the mass flow controller, and send a calculation instruction and an adjustment instruction to the data processing module.

[0012] Preferably, the factory calibration parameters include the factory phase difference and the factory calibration coefficient;

[0013] The factory phase difference is determined by the working wavelength of any characteristic gas recorded by the laser when the gas detection device leaves the factory, and the maximum absorption wavelength of water vapor determined by the laser scanning when the water vapor generator generates water vapor with a standard concentration;

[0014] The factory calibration coefficient is determined by the standard water vapor concentration generated by the water vapor generator when the gas detection device leaves the factory and the standard signal intensity generated after the photoacoustic cell absorbs the water vapor with the standard concentration and is excited by the light wave.

[0015] Preferably, the factory phase difference α0 = λ g - λ0, λ g is any characteristic gas working wavelength recorded by the laser in the gas detection device when leaving the factory, and λ0 is the maximum absorption wavelength of water vapor determined by the laser scanning when the water vapor generator generates water vapor with a standard concentration when leaving the factory, which is called the factory water vapor wavelength;

[0016] The factory calibration coefficient x0 = standard water vapor concentration / standard signal intensity.

[0017] Preferably, the real-time calibration data includes a real-time calibration coefficient, an automatic calibration compensation factor, and a calibrated water vapor wavelength:

[0018] The real-time calibration coefficient x1 is determined by the data processing module receiving the water vapor generation concentration data generated by the water vapor generator multiple times and the corresponding multiple real-time signal intensity data when the gas detection device is in the calibration mode, specifically as follows:

[0019]

[0020] where N is the total number of received data, C n is the water vapor generation concentration at the nth time, and S n is the real-time signal intensity corresponding to the water vapor generated at the nth time;

[0021] The automatic calibration compensation factor f is determined by the real-time calibration coefficient and the factory calibration coefficient, specifically as follows:

[0022] f = x1 / x0

[0023] The calibrated water vapor wavelength λ1 is determined by the data processing module recording the average value of the wavelengths at the multiple strongest photoacoustic signals when the gas detection device is in the calibration mode. The wavelengths at the multiple strongest photoacoustic signals are generated after the water vapor in the photoacoustic cell is excited by the light waves dynamically adjusted and emitted by the laser in the gas detection device near the factory water vapor wavelength.

[0024] Preferably, the data processing module is used to calibrate the wavelength deviation and the signal intensity deviation based on the real-time calibration data and the factory calibration parameters, specifically including:

[0025] When there is no offset between the positions of the factory water vapor wavelength λ0 and the calibrated water vapor wavelength λ1, the data processing module is used to keep the characteristic gas working wavelength λ g unchanged, and multiply the corresponding output signal intensity by the automatic calibration compensation factor f as the new signal intensity for correction;

[0026] If there is an offset between the positions of the factory water vapor wavelength λ0 and the calibrated water vapor wavelength λ1, the data processing module is used to correct the characteristic gas working wavelength λ g1 by replacing the characteristic gas working wavelength λ g at the factory, and the corrected characteristic gas working wavelength λ g1 The expression is as follows:

[0027] λ g1 = α0 + λ1

[0028] λ g1 The corresponding output signal intensity is multiplied by the automatic calibration compensation factor f as the new signal intensity for correction.

[0029] The present invention also provides a calibration method for a laser photoacoustic spectroscopy oil gas detection device based on water vapor, including the following steps:

[0030] The automatic calibration module switches the gas detection device to the calibration mode;

[0031] A water vapor generator is connected to the photoacoustic cell in the gas detection device, and the generated standard concentration of water vapor enters the photoacoustic cell in the gas detection device after the flow rate is controlled by a mass flow controller;

[0032] The data processing module stores the factory calibration parameters, receives the real-time photoacoustic signal, stores the real-time photoacoustic signal as real-time calibration data, and calibrates the wavelength deviation and signal intensity deviation based on the real-time calibration data and the factory calibration parameters; the real-time photoacoustic signal is generated when the gas detection device is in the calibration mode and the light wave emitted by the laser in the gas detection device excites the photoacoustic cell after absorbing water vapor.

[0033] Preferably, a machine learning algorithm is introduced to analyze the historical calibration data, predict the performance decay trend of the laser, and achieve preventive calibration;

[0034] Increase the adaptive calibration period: Dynamically adjust the calibration frequency according to the device usage environment and historical data.

[0035] Preferably, the factory calibration parameters include the factory phase difference and the factory calibration coefficient;

[0036] The factory phase difference is determined by the working wavelength of any characteristic gas recorded by the laser when the gas detection device leaves the factory and the maximum absorption wavelength of water vapor determined by the laser scan when the water vapor generator generates standard concentration of water vapor;

[0037] The factory calibration coefficient is determined by the standard water vapor concentration generated by the water vapor generator when the gas detection device leaves the factory and the standard signal intensity generated after the corresponding photoacoustic cell absorbs the standard concentration of water vapor and is excited by the light wave.

[0038] Preferably, the factory phase difference α0 = λ g - λ0, λ g is the working wavelength of any characteristic gas recorded by the laser in the gas detection device when leaving the factory, and λ0 is the maximum absorption wavelength of water vapor determined by the laser scan when the water vapor generator generates standard concentration of water vapor when leaving the factory, which is called the factory water vapor wavelength;

[0039] The factory calibration coefficient x0 = standard water vapor concentration / standard signal intensity.

[0040] Preferably, the real-time calibration data includes a real-time calibration coefficient, an automatic calibration compensation factor, and a calibrated water vapor wavelength:

[0041] The real-time calibration coefficient x1 is determined by the data processing module receiving the water vapor generation concentration data generated by the water vapor generator multiple times and the corresponding multiple real-time signal intensity data when the gas detection device is in the calibration mode, specifically as follows:

[0042]

[0043] Wherein, N is the total number of times of receiving data, C n is the water vapor generation concentration at the nth time, and S n is the real-time signal intensity corresponding to the water vapor generated at the nth time;

[0044] The automatic calibration compensation factor f is determined by the real-time calibration coefficient and the factory calibration coefficient, and is specifically as follows:

[0045] f = x1 / x0

[0046] The calibrated water vapor wavelength λ1 is determined by the average value of the wavelengths at the positions of multiple strongest photoacoustic signals recorded by the data processing module when the gas detection device is in the calibration mode. The wavelengths at the positions of the multiple strongest photoacoustic signals are generated after the water vapor in the photoacoustic cell is excited by the light waves dynamically adjusted and emitted by the laser in the gas detection device near the factory water vapor wavelength.

[0047] Preferably, if there is no offset between the positions of the factory water vapor wavelength λ0 and the calibrated water vapor wavelength λ1, the data processing module keeps the characteristic gas working wavelength λ g unchanged, and multiplies the corresponding output signal intensity by the automatic calibration compensation factor f as the new signal intensity for correction;

[0048] If there is an offset between the positions of the factory water vapor wavelength λ0 and the calibrated water vapor wavelength λ1, then the data processing module corrects the characteristic gas working wavelength λ g1 by replacing the characteristic gas working wavelength λ g at the factory. The corrected characteristic gas working wavelength λ g1 has the following expression:

[0049] λ g1 = α0 + λ1

[0050] λ g1 The corresponding output signal intensity is multiplied by the automatic calibration compensation factor f as the new signal intensity for correction.

[0051] The present invention also provides a computer storage medium. The computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the steps of the calibration method for the laser photoacoustic spectroscopy oil-in-gas detection device based on water vapor as described above are implemented.

[0052] The present invention also provides an electronic device, including a memory and a processor: the memory is used to store computer-executable instructions, the processor is used to execute the computer-executable instructions, and when the computer-executable instructions are executed by the processor, the steps of the calibration method for the laser photoacoustic spectroscopy oil-in-gas detection device based on water vapor as described above are implemented.

[0053] The beneficial effects of the present invention are as follows: The present invention does not rely on the standard gas of the characteristic gas as the calibration source. By introducing water vapor as the calibration medium, the working wavelength and signal intensity of any characteristic gas are corrected according to the water vapor absorption wavelength and signal concentration recorded during factory production and calibration, simplifying the calibration process and reducing the difficulty and risk of calibration operation;

[0054] Combined with the full-automatic calibration algorithm of the data processing module, the collected data is calculated multiple times, significantly improving the calibration reliability of the laser photoacoustic spectroscopy gas detection device in oil;

[0055] In summary, the calibration method provided by the present invention is simple to operate and has low risk, is suitable for high-risk scenarios such as substations, supports the detection of multiple gases, and enables flexible use of the extended system.

[0056] The above description is only an overview of the technical solution of the present invention. In order to understand the technical means of the present invention more clearly and implement it according to the content of the specification, the following takes the preferred embodiments of the present invention and combines the accompanying drawings to describe in detail as follows. The specific implementation manners of the present invention are given in detail by the following embodiments and their accompanying drawings. BRIEF DESCRIPTION OF THE DRAWINGS

[0057] The accompanying drawings described herein are used to provide a further understanding of the present invention, and constitute a part of the present invention. The illustrative embodiments and descriptions thereof of the present invention are used to explain the present invention and do not constitute an improper limitation of the present invention. In the drawings:

[0058] Figure 1 A calibration system module diagram of a laser photoacoustic spectroscopy gas detection device in oil based on water vapor is provided for Embodiment 1;

[0059] Figure 2 A calibration method flow chart of a laser photoacoustic spectroscopy gas detection device in oil based on water vapor is provided for Embodiment 2. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0060] The principles and features of the present invention are described below with reference to the accompanying drawings. The examples given are only used to explain the present invention and are not intended to limit the scope of the present invention.

[0061] Embodiment 1

[0062] This embodiment provides a calibration system for a laser photoacoustic spectroscopy gas detection device in oil based on water vapor, including an automatic calibration module, a water vapor generator, a mass flow controller, a data processing module, and a main control board;

[0063] The automatic calibration module is used to switch the gas detection device to the calibration mode.

[0064] A water vapor generator, which is connected to the photoacoustic cell in the gas detection device and is used to generate water vapor and enter the photoacoustic cell.

[0065] A mass flow controller, which is used to control the flow rate of the water vapor generated by the water vapor generator entering the photoacoustic cell.

[0066] A data processing module, which is used to store the factory calibration parameters, receive the real-time photoacoustic signal, store the real-time photoacoustic signal as real-time calibration data. The real-time photoacoustic signal is generated when the gas detection device is in the calibration mode and the light wave emitted by the laser in the gas detection device excites the photoacoustic cell after absorbing water vapor, and calibrates the wavelength deviation and signal intensity deviation based on the real-time calibration data and the factory calibration parameters;

[0067] The factory calibration parameters include the factory phase difference α0 and the factory calibration coefficient x0;

[0068] α0 = λ g - λ0, λ g is any characteristic gas working wavelength recorded by the laser in the gas detection device at the factory, and λ0 is the maximum absorption wavelength of water vapor determined by the laser scanning when the water vapor generator generates water vapor with a standard concentration at the factory;

[0069] The factory calibration coefficient x0 = standard water vapor concentration / standard signal intensity;

[0070] In this embodiment, methane gas is used as the characteristic gas, λ g = 1651nm, λ0 = 1652nm, the factory phase difference α0 = 1nm; it is set that the water vapor concentration generated by the water vapor generator is the dew point temperature of 18°C, which is equivalent to a water vapor concentration of 20884 ppm, and the measured signal value is 9.86 μV. The factory calibration coefficient x0 = 20884 / 9.86 = 2118.1 ppm / μV.

[0071] The real-time calibration data includes a real-time calibration coefficient, an automatic calibration compensation factor, and a calibrated water vapor wavelength;

[0072] The real-time calibration coefficient x1 is determined by the data processing module receiving the water vapor generation concentration data generated by the water vapor generator multiple times and the corresponding multiple real-time signal intensity data when the gas detection device is in the calibration mode, specifically as follows:

[0073]

[0074] where N is the total number of received data, C n is the water vapor generation concentration at the nth time, and S n is the real-time signal intensity corresponding to the water vapor generated at the nth time.

[0075] The automatic calibration compensation factor f is determined by the real-time calibration coefficient and the factory calibration coefficient, specifically as follows:

[0076] f = x1 / x0

[0077] The calibrated water vapor wavelength λ1 is determined by the data processing module recording the average value of the wavelengths at the positions of the strongest photoacoustic signals multiple times when the gas detection device is in the calibration mode. The wavelengths at the positions of the strongest photoacoustic signals multiple times are generated after the water vapor in the photoacoustic cell is excited by the light waves dynamically adjusted and emitted by the laser in the gas detection device near the factory water vapor wavelength.

[0078] During the actual calibration process, when the water vapor concentration is 20884 ppm, the average real-time signal intensity is 9.07 μV, x1 = 2302.5 ppm / μV, and f = 0.92. The position where the maximum value of the actually measured water vapor is located, that is, the calibrated water vapor wavelength λ1 = 1651.8 nm.

[0079] When the positions of the factory water vapor wavelength λ0 and the calibrated water vapor wavelength λ1 shift, the working wavelength λ of the characteristic gas is corrected g1 for the working wavelength λ of the characteristic gas at the time of factory g and replaced, and the working wavelength λ of the corrected characteristic gas g1 = α0 + λ1 = λ g +(λ1 - − λ0)=1651+(1651.8 - 1652)=1650.8 nm;

[0080] λ g1 The signal intensity corresponding to the output is multiplied by the automatic calibration compensation factor f = 0.92 as the new methane characteristic signal intensity for correction.

[0081] The main control board is used to send a tuning instruction to the laser, control the start and stop of the water vapor generator and the mass flow controller, and send a calculation instruction and a correction instruction to the data processing module.

[0082] Embodiment 2

[0083] This embodiment provides a calibration method for a laser photoacoustic spectroscopy oil gas detection device based on water vapor, including the following steps:

[0084] S1. When it is at the periodic calibration time or the data processing module detects abnormal data, the automatic calibration module switches the gas detection device to the calibration mode.

[0085] S2. The standard concentration water vapor generated by the water vapor generator enters the photoacoustic cell in the gas detection device after the flow rate is controlled by the mass flow controller.

[0086] S3. The data processing module stores the factory calibration parameters, including the factory phase difference α0 and the factory calibration coefficient x0;

[0087] Factory phase difference α0 = λ g -λ0, λ g is an arbitrary characteristic gas working wavelength recorded by the laser in the gas detection device at the time of factory production. λ0 is the maximum absorption wavelength of water vapor determined by the laser scanning when the water vapor generator generates standard concentration water vapor at the time of factory production, which is called the factory water vapor wavelength;

[0088] Factory calibration coefficient x0 = standard water vapor concentration / standard signal intensity.

[0089] In this embodiment, methane gas is used as the characteristic gas, λ g = 1651nm, λ0 = 1652nm, factory phase difference α0 = 1nm; it is set that the water vapor concentration generated by the water vapor generator is the dew point temperature of 18°C, which is equivalent to a water vapor concentration of 20884 ppm, and the measured signal value is 9.86 μV. The factory calibration coefficient x0 = 20884 / 9.86 = 2118.1 ppm / μV.

[0090] S4. The data processing module stores the real-time photoacoustic signal as real-time calibration data. The real-time photoacoustic signal is generated when the light wave emitted by the laser in the gas detection device excites the photoacoustic cell after absorbing water vapor when the gas detection device is in the calibration mode;

[0091] The real-time calibration data includes a real-time calibration coefficient, an automatic calibration compensation factor, and a calibrated water vapor wavelength;

[0092] The real-time calibration coefficient x1 is determined by the data processing module receiving the water vapor generation concentration data generated by the water vapor generator multiple times and the corresponding multiple real-time signal intensity data when the gas detection device is in the calibration mode, as follows:

[0093]

[0094] where N is the total number of received data, C n is the water vapor generation concentration at the nth time, and S n is the real-time signal intensity corresponding to the water vapor generation at the nth time.

[0095] The automatic calibration compensation factor f is determined by the real-time calibration coefficient and the factory calibration coefficient, as follows:

[0096] f = x1 / x0

[0097] The calibrated water vapor wavelength λ1 is determined by the data processing module recording the average value of the wavelengths at the multiple strongest photoacoustic signal positions when the gas detection device is in the calibration mode. The wavelengths at the multiple strongest photoacoustic signal positions are generated after the photoacoustic cell absorbs water vapor and is excited by the light wave dynamically adjusted and emitted by the laser in the gas detection device near the factory water vapor wavelength.

[0098] During the actual calibration process, the water vapor concentration is also 20884 ppm, its average real-time signal intensity is 9.07 μV, x1 = 2302.5 ppm / μV, f = 0.92; the position where the maximum value of the actually measured water vapor is located, that is, the calibration water vapor wavelength λ1 = 1651.8 nm.

[0099] S5. The data processing module calibrates the wavelength deviation and signal intensity deviation based on the real-time calibration data and the factory calibration parameters, including:

[0100] If there is no offset in the positions of the factory water vapor wavelength λ0 and the calibration water vapor wavelength λ1, the data processing module keeps the working wavelength λ of the characteristic gas g unchanged, and multiplies the corresponding output signal intensity by the automatic calibration compensation factor f as the new signal intensity for correction;

[0101] In this embodiment, when there is an offset in the positions of the factory water vapor wavelength λ0 and the calibration water vapor wavelength λ1, the working wavelength λ of the characteristic gas is corrected g1 to replace the working wavelength λ of the characteristic gas at the factory g for replacement, and the corrected working wavelength λ of the characteristic gas g1 = α0 + λ1 = λ g +(λ1 - − λ0) = 1651 + (1651.8 - 1652) = 1650.8 nm;

[0102] λ g1 The corresponding output signal intensity is multiplied by the automatic calibration compensation factor f = 0.92 as the new methane characteristic signal intensity for correction.

[0103] Embodiment 3

[0104] This embodiment provides a computer storage medium. The computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the steps of the calibration method for the laser photoacoustic spectroscopy oil-in-gas detection device based on water vapor as described in Embodiment 2 are implemented.

[0105] Embodiment 4

[0106] The present invention also provides an electronic device, including a memory and a processor: the memory is used to store computer-executable instructions, the processor is used to execute the computer-executable instructions, and when the computer-executable instructions are executed by the processor, the steps of the calibration method for the laser photoacoustic spectroscopy oil-in-gas detection device based on water vapor as described in Embodiment 2 are implemented.

[0107] Those skilled in the art should understand that the embodiments of the present invention can be provided as a method, a system, or a computer program product. Therefore, the present invention can take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware aspects. Moreover, the present invention can take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) that contain computer-usable program code.

[0108] The present invention is described with reference to the flowcharts and / or block diagrams of methods, apparatuses (systems), and computer program products according to embodiments of the present invention. It should be understood that each flow and / or block in the flowchart and / or block diagram, and the combination of flows and / or blocks in the flowchart and / or block diagram, can be realized by computer program instructions. These computer program instructions can be provided to the processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing devices to generate a machine, so that the instructions executed by the processor of the computer or other programmable data processing devices generate means for realizing the functions specified in one Figure 1 flow or multiple flows and / or blocks Figure 1 block or multiple blocks.

[0109] These computer program instructions can also be stored in a computer-readable memory that can direct a computer or other programmable data processing device to work in a specific manner, so that the instructions stored in the computer-readable memory generate a manufactured article including instruction means, and the instruction means realizes the functions specified in one Figure 1 flow or multiple flows and / or blocks Figure 1 block or multiple blocks.

[0110] These computer program instructions can also be loaded onto a computer or other programmable data processing device, so that a series of operation steps are executed on the computer or other programmable device to generate a computer-implemented process, and thus the instructions executed on the computer or other programmable device provide steps for realizing the functions specified in one Figure 1 flow or multiple flows and / or blocks Figure 1 block or multiple blocks.

Claims

1. A calibration system for a laser photoacoustic spectroscopy oil-gas detection device based on water vapor, characterized in that, It includes an automatic calibration module, a water vapor generator, a mass flow controller, and a data processing module; The automatic calibration module is used to switch the gas detection device to the calibration mode; The water vapor generator is connected to the photoacoustic cell in the gas detection device and is used to generate water vapor and input it into the photoacoustic cell; The mass flow controller is used to control the flow rate of the water vapor generated by the water vapor generator into the photoacoustic cell; The data processing module is used to store the factory calibration parameters, receive the real-time photoacoustic signal, store the real-time photoacoustic signal as real-time calibration data. The real-time photoacoustic signal is generated when the gas detection device is in the calibration mode, and is generated by the light wave emitted by the laser in the gas detection device exciting the photoacoustic cell after absorbing water vapor, and calibrates the wavelength deviation and signal intensity deviation based on the real-time calibration data and the factory calibration parameters.

2. The calibration system for a gas detection device in oil based on water vapor laser photoacoustic spectroscopy according to claim 1, characterized in that, The factory calibration parameters include the factory phase difference and the factory calibration coefficient; The factory phase difference is determined by the working wavelength of any characteristic gas recorded by the laser when the gas detection device leaves the factory and the maximum absorption wavelength of water vapor determined by the laser scanning when the water vapor generator generates water vapor with a standard concentration; The factory calibration coefficient is determined by the standard water vapor concentration generated by the water vapor generator when the gas detection device leaves the factory and the standard signal intensity generated after the corresponding photoacoustic cell absorbs the water vapor with the standard concentration and is excited by the light wave; 3. The calibration system for a laser photoacoustic spectroscopy oil-in-gas detection device based on water vapor according to claim 2, wherein The factory phase difference α0 = λ g -λ0, λ g is the working wavelength of any characteristic gas recorded by the laser in the gas detection device at the time of factory, and λ0 is the maximum absorption wavelength of water vapor determined by the laser scanning when the water vapor generator generates water vapor with a standard concentration at the time of factory; The factory calibration coefficient x0 = standard water vapor concentration / standard signal intensity.

4. The calibration system for the oil gas detection device based on water vapor laser photoacoustic spectroscopy according to claim 3, characterized in that, The real-time calibration data includes a real-time calibration coefficient, an automatic calibration compensation factor, and a calibrated water vapor wavelength: The real-time calibration coefficient x1 is determined by the data processing module receiving the water vapor generation concentration data generated by the water vapor generator multiple times and the corresponding multiple real-time signal intensity data when the gas detection device is in the calibration mode. Specifically as follows: where N is the total number of times of receiving data, C n is the water vapor generation concentration at the nth time, S n is the real-time signal intensity corresponding to the water vapor generated at the nth time; The automatic calibration compensation factor f is determined by the real-time calibration coefficient and the factory calibration coefficient. Specifically as follows: f = x1 / x0 The calibrated water vapor wavelength λ1 is determined by the data processing module recording the average value of the wavelengths at the multiple strongest photoacoustic signals when the gas detection device is in the calibration mode. The wavelengths at the multiple strongest photoacoustic signals are generated by the photoacoustic cell absorbing water vapor and being excited by the light wave dynamically adjusted and emitted by the laser in the gas detection device near the factory water vapor wavelength.

5. The calibration system for the oil-in-gas detection device based on water vapor laser photoacoustic spectroscopy according to claim 4, characterized in that, The data processing module is used to calibrate the wavelength deviation and signal intensity deviation based on the real-time calibration data and the factory calibration parameters. Specifically including: The data processing module is used to keep the working wavelength λ of the characteristic gas unchanged when there is no offset between the positions of the factory water vapor wavelength λ0 and the calibrated water vapor wavelength λ1, and the signal intensity corresponding to the output is multiplied by the automatic calibration compensation factor f as the new signal intensity for correction; g When there is no offset between the positions of the factory water vapor wavelength λ0 and the calibrated water vapor wavelength λ1, the data processing module keeps the working wavelength λ of the characteristic gas unchanged, and multiplies the corresponding output signal intensity by the automatic calibration compensation factor f as the new signal intensity for correction; The data processing module is used to correct the working wavelength λ of the characteristic gas when the positions of the factory-produced water vapor wavelength λ0 and the calibrated water vapor wavelength λ1 are offset. g1 For the working wavelength λ of the characteristic gas at the time of factory production g Perform replacement to correct the working wavelength λ of the characteristic gas g1 The expression is as follows: λ g1 = α0 + λ1 λ g1 The signal strength of the corresponding output is multiplied by the automatic calibration compensation factor f and corrected as the new signal strength.

6. A calibration method for a gas detection device in oil based on laser photoacoustic spectroscopy of water vapor, characterized in that, Including the following steps: The automatic calibration module switches the gas detection device to the calibration mode; The water vapor generator is connected to the photoacoustic cell in the gas detection device, and the generated water vapor with a standard concentration enters the photoacoustic cell in the gas detection device through the mass flow controller controlling the flow rate; The data processing module stores the factory calibration parameters, receives the real-time photoacoustic signal, stores the real-time photoacoustic signal as real-time calibration data, and calibrates the wavelength deviation and signal intensity deviation based on the real-time calibration data and the factory calibration parameters. The real-time photoacoustic signal is generated when the gas detection device is in the calibration mode, and is generated by the light wave emitted by the laser in the gas detection device exciting the photoacoustic cell after absorbing water vapor.

7. The calibration method for the oil-in-gas detection device based on water vapor laser photoacoustic spectroscopy according to claim 6, characterized in that, The factory calibration parameters include the factory phase difference and the factory calibration coefficient; The factory phase difference is determined by the working wavelength of any characteristic gas recorded by the laser when the gas detection device leaves the factory and the maximum absorption wavelength of water vapor determined by the laser scanning when the water vapor generator generates water vapor with a standard concentration; The factory calibration coefficient is determined by the standard water vapor concentration generated by the water vapor generator when the gas detection device leaves the factory and the standard signal intensity generated after the photoacoustic cell absorbs the water vapor with the standard concentration and is excited by light waves; 8. The calibration method for a gas detection device in oil based on laser photoacoustic spectroscopy using water vapor according to claim 7, characterized in that The factory phase difference α0 = λ g -λ0, λ g is the working wavelength of any characteristic gas recorded by the laser in the gas detection device at the time of factory, and λ0 is the maximum absorption wavelength of water vapor determined by the laser scanning when the water vapor generator generates water vapor with a standard concentration at the time of factory; The factory calibration coefficient x0 = standard water vapor concentration / standard signal intensity.

9. The calibration method for a gas detection device in oil based on laser photoacoustic spectroscopy using water vapor according to claim 8, characterized in that, The real-time calibration data includes the real-time calibration coefficient, the automatic calibration compensation factor, and the calibrated water vapor wavelength: The real-time calibration coefficient x1 is determined by the data processing module receiving the water vapor generation concentration data generated by the water vapor generator multiple times and the corresponding multiple real-time signal intensity data when the gas detection device is in the calibration mode, specifically as follows: Among them, N is the total number of times of receiving data, and C n is the water vapor generation concentration at the nth time, and S n is the real-time signal intensity corresponding to the water vapor generated at the nth time; The automatic calibration compensation factor f is determined by the real-time calibration coefficient and the factory calibration coefficient, specifically as follows: f = x1 / x0 The calibrated water vapor wavelength λ1 is determined by the data processing module recording the average value of the wavelengths at the multiple strongest photoacoustic signals when the gas detection device is in the calibration mode. The wavelengths at the multiple strongest photoacoustic signals are generated after the photoacoustic cell absorbs water vapor and is excited by the light waves dynamically adjusted and emitted by the laser in the gas detection device near the factory water vapor wavelength.

10. The calibration method of the oil-in-gas detection device based on laser photoacoustic spectroscopy using water vapor according to claim 9, characterized in that, When there is no offset in the positions of the factory water vapor wavelength λ0 and the calibrated water vapor wavelength λ1, the data processing module keeps the working wavelength λ of the characteristic gas g unchanged, and multiplies the signal intensity corresponding to its output by the automatic calibration compensation factor f to correct it as the new signal intensity, which specifically includes: The data processing module is used to correct the working wavelength λ of the characteristic gas when there is an offset between the position of the water vapor wavelength λ0 at the time of factory production and the calibrated water vapor wavelength λ1 g1 For the working wavelength λ of the characteristic gas at the time of factory production g Perform replacement to correct the working wavelength λ of the characteristic gas g1 The expression is as follows: λ g1 = α0 + λ1 λ g1 The signal strength corresponding to the output is multiplied by the automatic calibration compensation factor f and corrected as the new signal strength.

11. A computer storage medium, the computer-readable storage medium stores a computer program, characterized in that, When the computer program is executed by the processor, it implements the steps of the calibration method for a gas detection device in oil based on laser photoacoustic spectroscopy using water vapor according to any one of claims 6 - 10.

12. An electronic device, characterized in that, It includes a memory and a processor: the memory is used to store computer-executable instructions, the processor is used to execute the computer-executable instructions, and when the computer-executable instructions are executed by the processor, it implements the steps of the calibration method for a gas detection device in oil based on laser photoacoustic spectroscopy using water vapor according to any one of claims 6 - 10.

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