Atmospheric environmental parameter detection method, device, equipment and medium

Abstract

The application discloses an atmospheric environment parameter detection method, device, equipment and medium, relates to the atmospheric environment monitoring technical field, and is applied to a laser radar system including a seed laser assembly, a first and a second detection system; comprising: generating first and second lasers satisfying a preset carbon dioxide and water vapor absorption difference maximum condition by using first and second seed lasers in the seed laser assembly; dividing the first and second lasers into first and second beams; emitting a first detection beam obtained by processing the first beam by using the first detection system to the atmosphere, receiving a return signal, and inverting carbon dioxide concentration and wind field data; emitting a second detection beam obtained by processing the second beam by using the second detection system to the atmosphere, receiving a return signal, and inverting water vapor concentration information; the first and second detection beams contain two frequency laser components; and integrating the inverted information into atmospheric environment parameters. The core pain point of the separated observation is solved to realize multi-parameter accurate collaborative detection.

Description

Technical Field

[0001] This invention relates to the field of atmospheric environment monitoring technology, and in particular to methods, devices, equipment and media for detecting atmospheric environmental parameters. Background Technology

[0002] In the field of atmospheric environmental monitoring, atmospheric wind fields, water vapor, and carbon dioxide are key atmospheric environmental parameters describing the state and processes of the Earth system. Acquiring the three-dimensional distribution of these parameters with high precision and high spatiotemporal resolution is of paramount importance for improving the accuracy of numerical weather prediction, carbon source and sink assessment (carbon cycle research), climate change research, air pollution monitoring, and aerospace safety.

[0003] Currently, a separate observation scheme combining Doppler wind lidar and differential absorption lidar is used. However, this scheme has significant drawbacks: First, there is a spatiotemporal mismatch. The detection paths, timing, and sampling spaces of the three independent devices differ, which can introduce huge errors in scenarios with non-uniform and rapidly changing atmospheres, making it difficult and inaccurate to physically correlate wind field and gas concentration data. Second, the system is complex, costly, and difficult to maintain. The three independent devices require their own hardware and control systems, resulting in high procurement costs, large footprints, and high power consumption. It also makes it difficult to achieve long-term stable operational observations, limiting the deployment of mobile platforms. Third, data fusion is highly uncertain. The spatiotemporal mismatch requires extensive interpolation, assumptions, and model corrections for subsequent data fusion, significantly reducing data reliability. Fourth, there is a lack of collaborative observation capabilities, failing to meet the basic physical requirement for key scientific questions such as carbon dioxide flux that "wind speed and concentration data come from the same air mass," making it difficult to achieve direct flux measurement.

[0004] In summary, how to solve the core pain points of separate observation in order to achieve accurate and coordinated detection of multiple parameters is a problem that needs to be solved in this field. Summary of the Invention

[0005] In view of this, the purpose of this invention is to provide a method, device, equipment, and medium for detecting atmospheric environmental parameters, addressing the core challenges of separate observations to achieve accurate and coordinated detection of multiple parameters. The specific solution is as follows:

[0006] In a first aspect, this application discloses a method for detecting atmospheric environmental parameters, applied to a lidar system, the lidar system comprising a seed laser component, a first detection system, and a second detection system; the method includes:

[0007] The seed laser assembly is used to generate a primary laser; the seed laser assembly includes a first seed laser for generating a first laser and a second seed laser for generating a second laser; the primary laser includes the first laser and the second laser, and the first laser and the second laser have different frequencies and satisfy a preset condition of extremely large differences in the absorption of carbon dioxide and water vapor;

[0008] The original laser is split into a first beam and a second beam; both the first beam and the second beam contain the first laser and the second laser.

[0009] The first detection system is used to process the first beam and the resulting first detection beam containing two frequency laser components is emitted into the atmosphere. The first echo signal and the second echo signal reflected back by the atmosphere from the two frequency laser components in the first detection beam are received. The carbon dioxide concentration and wind field data are inverted based on the difference between the first echo signal and the second echo signal.

[0010] The second detection system processes the second beam and emits the resulting second detection beam containing two frequency laser components into the atmosphere. The third and fourth echo signals reflected back from the atmosphere in response to the two frequency laser components in the second detection beam are received. The water vapor concentration information is inverted based on the intensity ratio of the third and fourth echo signals.

[0011] The carbon dioxide concentration, the wind field data, and the water vapor concentration information are integrated into atmospheric environmental parameters.

[0012] Optionally, the frequencies of the first laser and the second laser correspond to the absorption peak frequency and absorption valley frequency of carbon dioxide in a preset wavelength band, respectively, wherein the preset wavelength band is the 1592nm wavelength band.

[0013] Optionally, the condition for maximum difference in the absorption of carbon dioxide and water vapor is that the difference in carbon dioxide absorption cross-section and the difference in water vapor absorption between the first laser and the second laser are not less than the first preset absorption threshold and the second preset absorption threshold, respectively.

[0014] Optionally, the lidar system further includes an optical switch and a beam splitter. The input terminal of the optical switch is connected to the output terminal of the first seed laser and the output terminal of the second seed laser, respectively. The output terminal of the optical switch is connected to the input terminal of the beam splitter. The optical switch is used to alternately connect the optical path between the first seed laser and the beam splitter and the optical path between the second seed laser and the beam splitter based on a preset time interval. The output terminal of the beam splitter is connected to the input terminal of the second detection system and the input terminal of the second detection system, respectively.

[0015] Optionally, the step of processing the first beam using the first detection system and emitting the resulting first detection beam containing two frequency laser components into the atmosphere includes:

[0016] The first detection system is used to split the first beam after power amplification into a first sub-beam and a second sub-beam, and the power of the second sub-beam is amplified to obtain a first detection beam containing two frequency laser components, and the first detection beam is emitted into the atmosphere.

[0017] Accordingly, the inversion of carbon dioxide concentration and wind field data based on the difference between the first echo signal and the second echo signal includes:

[0018] The first sub-beam is mixed with the first echo signal and the second echo signal respectively to obtain the first mixed signal and the second mixed signal;

[0019] The intensity of the first echo signal in the first mixing signal and the intensity of the second echo signal in the second mixing signal are determined, and the carbon dioxide concentration is inverted based on the ratio between the intensity of the first echo signal and the intensity of the second echo signal.

[0020] Wind field data were retrieved based on the Doppler frequency shift in the first and second mixing signals.

[0021] Optionally, the first detection system includes a first amplifier for power amplification of the first beam, a second amplifier for power amplification of the second sub-beam, a large-mode-field fiber for transmitting the first detection beam to a fiber optic circulator, the fiber optic circulator for directional optical path switching and transmission of the first detection beam, a transmitting optics device for collimating the first detection beam, a wedge-shaped rotating mirror for transmitting the collimated first detection beam to the atmosphere, a telescope for receiving the first echo signal and the second echo signal, a balanced detector for mixing, and a filter for noise reduction of the first mixing signal and the second mixing signal.

[0022] Optionally, the step of retrieving water vapor concentration information based on the intensity ratio of the third echo signal and the fourth echo signal includes:

[0023] Based on the intensity ratio between the third echo signal and the fourth echo signal, environmental interference signals in the third echo signal are filtered out to obtain the filtered third echo signal.

[0024] The water vapor concentration information is retrieved based on the filtered third echo signal and the second probe beam.

[0025] Secondly, this application discloses an atmospheric environmental parameter detection device applied to a lidar system, the lidar system comprising a seed laser component, a first detection system, and a second detection system; the device comprises:

[0026] A laser generation module is used to generate a primary laser using the seed laser assembly; the seed laser assembly includes a first seed laser for generating a first laser and a second seed laser for generating a second laser; the primary laser includes the first laser and the second laser, the first laser and the second laser having different frequencies and satisfying a preset condition of extremely large differences in the absorption of carbon dioxide and water vapor;

[0027] A laser beam splitting module is used to split the original laser into a first beam and a second beam; both the first beam and the second beam contain the first laser and the second laser.

[0028] The first detection module is used to process the first beam using the first detection system, and emit the resulting first detection beam containing two frequency laser components into the atmosphere, receive the first echo signal and the second echo signal reflected back by the atmosphere from the two frequency laser components in the first detection beam, and retrieve carbon dioxide concentration and wind field data based on the difference between the first echo signal and the second echo signal.

[0029] The second detection module is used to process the second beam using the second detection system, and emit the resulting second detection beam containing two frequency laser components into the atmosphere, and receive the third echo signal and the fourth echo signal reflected back by the atmosphere from the two frequency laser components in the second detection beam, and invert water vapor concentration information based on the intensity ratio of the third echo signal and the fourth echo signal.

[0030] The parameter integration module is used to integrate the carbon dioxide concentration, the wind field data, and the water vapor concentration information into atmospheric environmental parameters.

[0031] Thirdly, this application discloses an electronic device, including:

[0032] Memory, used to store computer programs;

[0033] A processor is used to execute the computer program to implement the steps of the aforementioned disclosed method for detecting atmospheric environmental parameters.

[0034] Fourthly, this application discloses a computer-readable storage medium for storing a computer program; wherein, when the computer program is executed by a processor, it implements the steps of the aforementioned disclosed atmospheric environmental parameter detection method.

[0035] The beneficial effects of this application are as follows: This application is applied to a lidar system, which includes a seed laser component, a first detection system, and a second detection system; the method includes: generating a primary laser using the seed laser component; the seed laser component includes a first seed laser for generating a first laser and a second seed laser for generating a second laser; the primary laser includes the first laser and the second laser, which have different frequencies and satisfy a preset condition of extremely large differences in the absorption of carbon dioxide and water vapor; splitting the primary laser into a first beam and a second beam; both the first beam and the second beam contain the first laser and the second laser; processing the first beam using the first detection system, and obtaining... A first detection beam containing two frequency laser components is emitted into the atmosphere. First and second echo signals reflected back from the atmosphere in response to the two frequency laser components in the first detection beam are received. Carbon dioxide concentration and wind field data are retrieved based on the difference between the first and second echo signals. The second detection system processes the second beam and emits the resulting second detection beam containing the two frequency laser components into the atmosphere. Third and fourth echo signals reflected back from the atmosphere in response to the two frequency laser components in the second detection beam are received. Water vapor concentration information is retrieved based on the intensity ratio of the third and fourth echo signals. The carbon dioxide concentration, wind field data, and water vapor concentration information are integrated into atmospheric environmental parameters.Therefore, this application generates a primary laser containing two different frequencies and satisfying the preset condition of extremely large differences in the absorption of carbon dioxide and water vapor by configuring a seed laser assembly containing a first seed laser and a second seed laser. The primary laser is then divided into a first beam and a second beam, each containing laser components of the two frequencies. This achieves a common source of light for multi-parameter detection, fundamentally ensuring the spatiotemporal consistency of the detection of carbon dioxide concentration, wind field data, and water vapor concentration, eliminating the mismatch in detection path, time, and sampling space caused by independent light sources in separate observation schemes. The first detection system processes the first beam and then emits a first detection beam containing laser components of the two frequencies. Based on the differences in the received two types of echo signals, carbon dioxide concentration and wind field data are synchronously inverted, achieving dual-parameter collaborative detection with a single detection system, eliminating the need for multiple sets of [equipment / systems]. Independent wind and carbon dioxide detection equipment simplifies the overall system architecture. A second detection system processes the second beam and emits a second detection beam containing two laser frequencies. Based on the intensity ratio of the two types of received echo signals, water vapor concentration information is retrieved. Relying on the beam-splitting design of the same-source laser, synchronous parallel detection of water vapor, carbon dioxide, and wind field parameters is achieved, avoiding system redundancy caused by building a separate water vapor detection light source link. The three types of parameters are directly integrated into atmospheric environmental parameters without additional interpolation, assumptions, or model corrections, reducing the uncertainty of data fusion and improving the reliability and scientific validity of atmospheric environmental parameters. This meets the demand for co-source collaborative observation data for key scientific issues such as carbon dioxide flux, while reducing the cost and difficulty of equipment procurement, deployment, and maintenance, and enhancing the operational application potential and mobile platform adaptability of the lidar system. Attached Figure Description

[0036] To more clearly illustrate the technical solutions in the embodiments of this application 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 embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on the provided drawings without creative effort.

[0037] Figure 1 This is a flowchart of an atmospheric environmental parameter detection method disclosed in this application;

[0038] Figure 2 This is a schematic diagram of a specific carbon dioxide absorption curve disclosed in this application;

[0039] Figure 3 This is a schematic diagram of a specific water vapor absorption curve disclosed in this application;

[0040] Figure 4 This is a schematic diagram of a specific atmospheric environmental parameter detection system disclosed in this application;

[0041] Figure 5 This is a schematic diagram of the structure of an atmospheric environmental parameter detection device disclosed in this application;

[0042] Figure 6 This is a structural diagram of an electronic device disclosed in this application. Detailed Implementation

[0043] The technical solutions of the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative effort are within the scope of protection of the present invention.

[0044] In the field of atmospheric environmental monitoring, atmospheric wind fields, water vapor, and carbon dioxide are key atmospheric environmental parameters describing the state and processes of the Earth system. Acquiring the three-dimensional distribution of these parameters with high precision and high spatiotemporal resolution is of paramount importance for improving the accuracy of numerical weather prediction, carbon source and sink assessment (carbon cycle research), climate change research, air pollution monitoring, and aerospace safety.

[0045] Currently, a separate observation scheme combining Doppler wind lidar and differential absorption lidar is used. However, this scheme has significant drawbacks: First, there is a spatiotemporal mismatch. The detection paths, timing, and sampling spaces of the three independent devices differ, which can introduce huge errors in scenarios with non-uniform and rapidly changing atmospheres, making it difficult and inaccurate to physically correlate wind field and gas concentration data. Second, the system is complex, costly, and difficult to maintain. The three independent devices require their own hardware and control systems, resulting in high procurement costs, large footprints, and high power consumption. It also makes it difficult to achieve long-term stable operational observations, limiting the deployment of mobile platforms. Third, data fusion is highly uncertain. The spatiotemporal mismatch requires extensive interpolation, assumptions, and model corrections for subsequent data fusion, significantly reducing data reliability. Fourth, there is a lack of collaborative observation capabilities, failing to meet the basic physical requirement for key scientific questions such as carbon dioxide flux that "wind speed and concentration data come from the same air mass," making it difficult to achieve direct flux measurement.

[0046] To address this, this application provides an atmospheric environment parameter scheme that solves the core pain point of separate observations and enables precise and coordinated detection of multiple parameters.

[0047] See Figure 1 As shown in the figure, this application discloses an atmospheric environmental parameter detection method applied to a lidar system. The lidar system includes a seed laser component, a first detection system, and a second detection system. The method includes:

[0048] Step S11: Generate a primary laser using the seed laser assembly; the seed laser assembly includes a first seed laser for generating a first laser and a second seed laser for generating a second laser; the primary laser includes the first laser and the second laser, the first laser and the second laser having different frequencies and satisfying a preset condition of extremely large differences in the absorption of carbon dioxide and water vapor.

[0049] A primary laser is generated using a seed laser assembly comprising a first seed laser for generating a first laser and a second seed laser for generating a second laser. This seed laser assembly produces a continuous, single-frequency, narrow-linewidth laser (dual-wavelength). Both the first and second seed lasers are high-frequency stable, narrow-linewidth seed lasers, meaning their linewidths are both no greater than 3kHz and their maximum wavelength deviation range is ±1pm. The primary laser integrates the first and second lasers, which are two lasers with different frequencies. These two lasers satisfy the pre-defined condition of extremely large differences in carbon dioxide and water vapor absorption, simultaneously adapting to the differential absorption detection requirements for both carbon dioxide concentration inversion and water vapor concentration inversion. This provides a homogeneous laser source with compatible frequency characteristics for subsequent first and second detection systems, fundamentally ensuring the spatiotemporal consistency of the three parameters—carbon dioxide concentration, wind field data, and water vapor concentration—avoiding the spatiotemporal mismatch problem caused by separate light sources. It also simplifies the light source architecture for multi-parameter detection, eliminating the need for separate seed laser modules for different detection systems, thus reducing system hardware costs and integration complexity.

[0050] In this embodiment, the frequencies of the first laser and the second laser correspond to the absorption peak frequency and absorption valley frequency of carbon dioxide in a preset band, respectively, and the preset band is the 1592nm band.

[0051] The frequencies of the first and second lasers correspond to the absorption peak and valley frequencies of carbon dioxide in the preset 1592nm band, respectively. The laser at the absorption peak frequency is selectively and strongly absorbed by carbon dioxide, while the laser at the absorption valley frequency is hardly absorbed, resulting in a significant difference in absorption characteristics. This frequency matching design within the 1592nm band provides a core frequency foundation for retrieving carbon dioxide concentration based on the differential absorption principle. Furthermore, the 1592nm band adapts to atmospheric transmission characteristics, reducing non-target attenuation of the laser in the atmosphere and ensuring the signal effectiveness for long-distance detection. This frequency design also allows for direct compatibility with the optical components and detectors of subsequent detection systems, improving the overall detection accuracy and stability of the system.

[0052] In this embodiment, the condition for maximizing the difference in carbon dioxide and water vapor absorption is that the difference in carbon dioxide absorption cross-section and the difference in water vapor absorption between the first laser and the second laser are not less than the first preset absorption threshold and the second preset absorption threshold, respectively.

[0053] For example Figure 2 and Figure 3 As shown, the absorption cross-section of carbon dioxide at a wavelength of 1592nm reveals a difference between the on (first laser) and off (second laser) absorption cross-sections, allowing for carbon dioxide detection. At this wavelength, frequency harmonics are used to obtain the water vapor wavelength, and the difference between the on and off absorption cross-sections allows for water vapor concentration detection. In wind measurement, based on the Doppler principle, this seed wavelength can be used for synchronous wind field measurement. This wavelength was chosen because 1592nm falls within the safe range for the human eye and has suitable aerosol scattering efficiency. This wavelength is effectively scattered by aerosols without being strongly absorbed or scattered by the atmosphere like shorter wavelengths, ensuring sufficient echo signal strength. The preset condition for maximum difference in carbon dioxide and water vapor absorption is that the difference in carbon dioxide absorption cross-section between the first and second lasers is not less than a first preset absorption threshold, and the difference in water vapor absorption is not less than a second preset absorption threshold. This condition quantifies the threshold differences in absorption characteristics between the two lasers for carbon dioxide and water vapor, ensuring that the first and second lasers correspond to the strong and weak absorption states of the gases, respectively, forming a significant and stable distinction in absorption characteristics. The application based on the differential absorption principle provides a quantitative basis for frequency matching, ensuring the accuracy of inverting carbon dioxide and water vapor concentrations based on the intensity difference of two laser echo signals. This avoids inversion errors caused by insufficient differences in absorption characteristics. At the same time, this quantitative condition can serve as a standard for laser frequency selection and calibration, improving the standardization and repeatability of system light source design and reducing the risk of decreased detection accuracy due to frequency deviation.

[0054] Step S12: The original laser is split into a first beam and a second beam; both the first beam and the second beam contain the first laser and the second laser.

[0055] In this embodiment, the lidar system further includes an optical switch and a beam splitter. The input terminal of the optical switch is connected to the output terminal of the first seed laser and the output terminal of the second seed laser, respectively. The output terminal of the optical switch is connected to the input terminal of the beam splitter. The optical switch is used to alternately connect the optical path between the first seed laser and the beam splitter and the optical path between the second seed laser and the beam splitter based on a preset time interval. The output terminal of the beam splitter is connected to the input terminal of the second detection system and the input terminal of the second detection system, respectively.

[0056] For example Figure 4As shown, the lidar system also includes an optical switch and a beam splitter. The input end of the optical switch is connected to the output ends of the first seed laser and the second seed laser, respectively. The output end of the optical switch is connected to the input end of the beam splitter. The optical switch is used to alternately connect the optical paths between the first seed laser and the beam splitter and between the second seed laser and the beam splitter based on a preset time interval. The output end of the beam splitter is connected to the input ends of the first detection system and the second detection system, respectively. The alternating output of the first laser and the second laser is achieved by the timing switching of the optical switch, that is, the optical switch achieves wavelength switching. Then, the beam splitter splits the two frequencies of lasers that are alternately output into a first beam and a second beam that both contain the timing characteristics of the two frequencies, providing the first detection system and the second detection system with the same source and consistent timing of laser sources. The timing control of the optical switch precisely regulates the output rhythm of the two laser frequencies, ensuring the timing matching of the on / off dual-frequency lasers during subsequent detection. At the same time, the beam splitting function of the beam splitter enables the laser supply from a single light source link to the dual detection system, eliminating the need to configure light source switching and beam splitting devices for the two detection systems separately. This simplifies the system's optical path architecture, reduces hardware integration difficulty, and the co-source beam splitting design further ensures the spatiotemporal consistency of the detection data between the first and second detection systems, reducing detection errors caused by independent light sources.

[0057] Step S13: Process the first beam using the first detection system, and emit the resulting first detection beam containing two frequency laser components into the atmosphere. Receive the first echo signal and the second echo signal reflected back from the atmosphere in response to the two frequency laser components in the first detection beam. Invert carbon dioxide concentration and wind field data based on the difference between the first echo signal and the second echo signal.

[0058] The first detection system is a carbon dioxide-wind transceiver system. It processes a first beam to obtain a first detection beam, which contains two laser frequencies. This first detection beam is emitted into the atmosphere, and the system receives the first and second echo signals reflected back from the atmosphere in response to these two frequencies. The carbon dioxide concentration and wind field data are then retrieved based on the difference between the two echo signals. This single detection system achieves simultaneous detection of carbon dioxide concentration and wind field data, eliminating the need for two separate detection devices, simplifying the system architecture. Furthermore, the use of a dual-frequency laser source ensures the spatiotemporal consistency of the two parameter data, improving the reliability of the retrieval results and meeting the application requirements of collaborative observation.

[0059] In this embodiment, the step of processing the first beam using the first detection system and emitting the resulting first detection beam containing two frequency laser components into the atmosphere includes: using the first detection system to divide the first beam after power amplification into a first sub-beam and a second sub-beam, and amplifying the power of the second sub-beam to obtain a first detection beam containing two frequency laser components, and emitting the first detection beam into the atmosphere.

[0060] The first detection system amplifies the power of the first beam, splitting it into a first sub-beam and a second sub-beam. The second sub-beam is then amplified a second time, resulting in a first detection beam containing two laser frequencies and whose power meets the atmospheric detection threshold. This first detection beam is then emitted into the atmosphere. This graded amplification ensures the power intensity of the first detection beam meets the requirements for long-distance atmospheric detection. The first sub-beam is reserved as the local oscillator light for subsequent coherent detection, eliminating the need for an additional local oscillator light source, simplifying the system's light source architecture. Simultaneously, it ensures that the local oscillator light and the detection laser originate from the same source, guaranteeing signal matching and detection accuracy in subsequent mixing processing. This achieves the integration of laser emission and coherent reception functions within a single detection link.

[0061] In this embodiment, the step of retrieving carbon dioxide concentration and wind field data based on the difference between the first echo signal and the second echo signal includes: mixing the first sub-beam with the first echo signal and the second echo signal respectively to obtain a first mixed signal and a second mixed signal; determining the intensity of the first echo signal in the first mixed signal and the intensity of the second echo signal in the second mixed signal, and retrieving the carbon dioxide concentration based on the ratio between the intensity of the first echo signal and the intensity of the second echo signal; and retrieving wind field data based on the Doppler frequency shift in the first mixed signal and the second mixed signal.

[0062] First, using the first sub-beam as the local oscillator, it is mixed with the first and second echo signals to generate a first mixed signal and a second mixed signal. On one hand, the intensity of the first and second echo signals is extracted from the two mixed signals, and the carbon dioxide concentration is obtained by calculating their intensity ratio and applying the differential absorption principle. On the other hand, the Doppler frequency shift is analyzed from the first and second mixed signals, and the wind field data is obtained based on the relevant laws of the Doppler effect. By using the mixing design of the same source local oscillator and the echo signals, the intensity and frequency shift information required for inversion can be obtained simultaneously, achieving coordinated and accurate inversion of carbon dioxide concentration and wind field data under the same detection link. This eliminates the need to construct an independent inversion link, simplifying the system's data processing architecture. Furthermore, the same source signal ensures the spatiotemporal consistency of the two types of parameters, effectively reducing data fusion errors and improving the reliability of multi-parameter detection.

[0063] In this embodiment, the first detection system includes a first amplifier for power amplification of a first beam, a second amplifier for power amplification of a second sub-beam, a large-mode-field fiber for transmitting the first detection beam to a fiber optic circulator, the fiber optic circulator for directional optical path switching and transmission of the first detection beam, a transmitting optics device for collimating the first detection beam, a wedge-shaped rotating mirror for transmitting the collimated first detection beam to the atmosphere, a telescope for receiving the first echo signal and the second echo signal, a balanced detector for frequency mixing, and a filter for noise reduction of the first mixed signal and the second mixed signal.

[0064] For example Figure 4 As shown, the first detection system mainly includes an optical receiving unit and a signal detection and acquisition unit, specifically including a first amplifier (i.e., the anti-amplifier A), a first coupler, an acousto-optic modulator (AOM), a second amplifier (main amplifier), a large mode field optical fiber, an optical fiber circulator, transmitting optical devices, a wedge-shaped rotating mirror, a telescope, a second coupler (2×2), a balanced detector, and a filter.

[0065] The first amplifier is used to amplify the power of the first beam. The first coupler splits the amplified first beam into two paths, namely the first sub-beam and the second sub-beam. The first sub-beam is used as the local oscillator and transmitted to the second coupler.

[0066] The second sub-beam first passes through an acousto-optic modulator, which performs frequency shifting and pulse shaping on the second sub-beam. Specifically, it first introduces a fixed frequency shift into the emitted light (i.e., the second sub-beam) so that the subsequent echo signal and the local oscillator light can generate a fixed intermediate frequency, which is convenient for heterodyne detection. Next, the continuous laser output from the first seed laser or the second seed laser (i.e., the second sub-beam) is converted into a pulsed laser with a specific width and repetition frequency, and then injected into the subsequent second amplifier in sequence.

[0067] The second amplifier amplifies the power of the second sub-beam. Its output is spliced ​​to a large-mode-field fiber, which is then plugged into a fiber circulator. The large-mode-field fiber transmits the first probe beam to the fiber circulator with low loss. The fiber circulator performs directional optical path switching and transmission of the first probe beam, coupling it to the lidar transmitting optics. The transmitting optics collimate the first probe beam. A wedge-shaped rotating mirror outside the optical window enables detection in multiple scanning modes. The wedge-shaped rotating mirror then transmits the collimated first probe beam into the atmosphere. The telescope receives the first and second echo signals and sends them to the fiber circulator. The fiber circulator sends the echo signals to the second coupler. The second coupler combines the echo signals with the local oscillator light (i.e., generates a coherent beat frequency signal) and transmits it to the balanced detector. The second coupler combines the local oscillator light with the returned signal light with a 90° phase difference, outputting two complementary phase beams to the balanced detector to suppress common-mode noise and improve the signal-to-noise ratio. The balanced detector performs a mixing operation, mixing the first and second echo signals with the local oscillator light to obtain a first mixed signal and a second mixed signal. The mixed optical signal is then converted into an electrical signal, outputting a beat frequency signal containing Doppler frequency shift and intensity information. A filter reduces noise in the first and second mixed signals. The final denoised mixed signal is then fed into an algorithm block for digitization and signal processing to extract CO2 absorption intensity and Doppler frequency shift information, thereby retrieving carbon dioxide concentration and wind field data. Through precise adaptation and coordinated operation of various functional components, the power intensity, beam quality, and transmission stability of the first detection beam are ensured to meet the requirements of long-distance atmospheric detection. Simultaneously, the system efficiently completes the reception, purification, and mixing of echo signals, providing high-quality signal support for the accurate retrieval of carbon dioxide concentration and wind field data. This achieves end-to-end integration of transmission, reception, and signal processing within a single detection system, simplifying the system architecture and improving detection reliability.

[0068] Understandably, the main reasons for acousto-optic modulators to generate pulsed light are: 1) To suppress amplified spontaneous emission noise and improve the signal-to-noise ratio. If continuous laser light is directly injected into an fiber amplifier, the amplification medium will generate broad-spectrum spontaneous emission under pumping, which will be amplified subsequently, forming strong background noise that drowns out the seed signal. By pre-forming the continuous light into narrow pulses using an acousto-optic modulator and injecting the seed light only within the pulse window, the accumulation time of spontaneous emission noise can be greatly limited, allowing the amplifier gain to focus on the seed pulse, thereby outputting a high-purity, high-signal-to-noise-ratio amplified laser pulse; 2) Pulsed light can increase peak power and enhance long-range detection and anti-interference capabilities. Pulsed operation can release laser energy in a short time, thereby obtaining higher peak power. Higher peak power is beneficial for achieving effective detection over longer distances and can improve the echo signal strength. At the same time, pulse time gating technology can suppress continuous ambient background light interference at the receiver, further improving the system's detection sensitivity and stability; 3) To achieve timing and energy control. The acousto-optic modulator can respond to external electrical signals and quickly and accurately modulate the width, shape, and intensity of each pulse. This flexibility allows the system to optimize pulse parameters based on actual detection needs (such as different distances and different gas concentrations).

[0069] Furthermore, carbon dioxide concentration can be retrieved based on the ratio between the intensity of the first echo signal and the intensity of the second echo signal, using wind field data. For example, the influence of aerosol scattering can be corrected using wind field data, and carbon dioxide concentration information can be retrieved based on the intensity ratio of the third echo signal and the fourth echo signal, thus improving the retrieval accuracy of carbon dioxide concentration.

[0070] Step S14: Process the second beam using the second detection system, and emit the resulting second detection beam containing two frequency laser components into the atmosphere. Receive the third and fourth echo signals reflected back from the atmosphere in response to the two frequency laser components in the second detection beam. Invert water vapor concentration information based on the intensity ratio of the third and fourth echo signals.

[0071] For example Figure 4As shown, the second detection system, also known as the water vapor transceiver system, mainly includes an optical receiving unit and a signal detection and acquisition unit. Specifically, the second detection system processes the second beam. This system includes an amplifier, which performs power amplification after two stages of amplification. The second detection system also includes a frequency doubling crystal, which performs frequency doubling conversion on the amplified second beam to generate a laser adapted to the water vapor detection wavelength, thus obtaining the second detection beam. The second detection system also includes a beam expander and a reflector, which are used to collimate the second detection beam and emit the collimated second detection beam into the atmosphere, respectively. The second detection system also includes a Cassegrain telescope, a filter, and a photomultiplier tube (PMT). The Cassegrain telescope receives the third and fourth echo signals reflected back from the atmosphere from the two frequency laser components in the second detection beam. The filter and PMT are located at the focal point of the Cassegrain telescope. The filter removes interference light from the third and fourth echo signals, and the PMT converts the filtered third and fourth echo signals from optical to electrical signals. Then, the water vapor concentration information is retrieved based on the intensity ratio of the electrical third and fourth echo signals.

[0072] By adapting and coordinating the various hardware components of the water vapor transceiver system, the amplification, wavelength conversion, directional emission, echo reception, and signal purification of the second beam are achieved, ensuring the adaptability of the water vapor detection laser and the high quality of the echo signal. Relying on the same-source laser beam splitting design, the synchronous detection of water vapor, carbon dioxide, and wind field parameters is realized without the need to build a separate water vapor detection light source and transmission link, simplifying the overall system architecture. At the same time, it improves the accuracy of water vapor concentration inversion and the spatiotemporal consistency of data, ensuring the reliability of multi-parameter fusion.

[0073] In this embodiment, the step of retrieving water vapor concentration information based on the intensity ratio of the third echo signal and the fourth echo signal includes: filtering out environmental interference signals in the third echo signal based on the intensity ratio between the third echo signal and the fourth echo signal to obtain a filtered third echo signal; and retrieving water vapor concentration information based on the filtered third echo signal and the second probe beam.

[0074] The intensity ratio is calculated by calculating the ratio of the echo power between the third and fourth echo signals. This ratio cancels out environmental interference signals in the first echo signal (i.e., the echo signal reflected from the on laser), resulting in a filtered third echo signal (i.e., the differential ratio signal). Water vapor concentration information is then determined based on the differential signal ratio and the on laser in the second detection beam. Since the water vapor absorption of the off laser is extremely low, the signal intensity variation in the fourth echo signal is mainly caused by environmental interference factors such as dust, aerosol scattering, and circuit noise in the atmosphere. This environmental interference is consistent with that faced by the first echo signal. Therefore, the ratio of the echo power between the fourth and first echo signals effectively eliminates the influence of non-target interference factors such as ambient stray light and atmospheric scattering on the echo signal, improving the purity and stability of the differential ratio signal and ensuring the accuracy of water vapor concentration inversion. Furthermore, relying on the ratio calculation logic of the differential absorption detection principle simplifies the signal processing flow, eliminating the need for additional complex interference compensation algorithms, reducing the difficulty of data processing and computational consumption, and improving the efficiency and reliability of water vapor concentration information acquisition.

[0075] Furthermore, water vapor concentration information can be retrieved based on the intensity ratio of the third and fourth echo signals and wind field data. For example, the influence of aerosol scattering can be corrected using wind field data, and water vapor concentration information can be retrieved based on the intensity ratio of the third and fourth echo signals, thereby improving the retrieval accuracy of water vapor concentration.

[0076] Step S15: Integrate the carbon dioxide concentration, the wind field data, and the water vapor concentration information into atmospheric environmental parameters.

[0077] An integrated laser emitting unit is employed, emitting laser light through two high-stability, narrow-linewidth 1592nm seed lasers. After being switched on / off by an optical switch, the beams are split into two streams by a beam splitter, which then enter the carbon dioxide-wind transceiver system and the water vapor transceiver system, respectively. This ensures that the detection optical paths are almost completely overlapped, and the detection signals for wind, water vapor, and carbon dioxide originate from the same time, the same path, and the same sampling volume. There are no differences in detection paths, times, or sampling volumes among multiple devices in separate systems, thus achieving inherent physical consistency of the three parameters. This design abandons the current independent lidar system design, integrating the measurement functions of three key parameters—atmospheric wind field, water vapor concentration, and carbon dioxide concentration—into a unified system. The core architecture combines parallel seed sources with serial processing, sharing core components such as the seed laser emitting unit. This eliminates the need for three separate lasers, optical telescopes, detectors, and control systems, significantly reducing the number and complexity of system components. This lowers the costs of equipment procurement, operation, and maintenance, while also reducing system size, weight, and overall power consumption, making it easier to deploy on various platforms.

[0078] This embodiment uses a 1592nm seed laser as a unified detection basis to simultaneously acquire carbon dioxide concentration (based on the differential absorption principle), wind field data (based on the Doppler measurement principle), and water vapor concentration (based on the differential absorption principle after the second harmonic of 1592nm) at the same time, along the same path, and in the same sampling volume. Relying on the physical consistency of the three types of parameters, key quantities such as carbon dioxide flux and water and heat flux are directly correlated and calculated. Combined with a data fusion method without spatiotemporal interpolation, comprehensive atmospheric environmental parameters with both accuracy and scientific validity are integrated.

[0079] This embodiment can utilize wind field data to invert water vapor concentration and carbon dioxide concentration information, surpassing the technical synergy gains of superimposing individual functions. It is not simply an integration of three detection functions, but rather uses synchronously acquired high-precision wind field data to invert key auxiliary information such as atmospheric turbulence intensity in real time. This information can be used to specifically optimize the data inversion logic of differential absorption lidar, such as accurately correcting interference caused by aerosol scattering, thereby improving the inversion accuracy of water vapor and carbon dioxide concentration detection. This achieves mutual empowerment and overall improvement of the measurement performance of each parameter.

[0080] The beneficial effects of this application are as follows: This application is applied to a lidar system, which includes a seed laser component, a first detection system, and a second detection system; the method includes: generating a primary laser using the seed laser component; the seed laser component includes a first seed laser for generating a first laser and a second seed laser for generating a second laser; the primary laser includes the first laser and the second laser, which have different frequencies and satisfy a preset condition of extremely large differences in the absorption of carbon dioxide and water vapor; splitting the primary laser into a first beam and a second beam; both the first beam and the second beam contain the first laser and the second laser; processing the first beam using the first detection system, and obtaining... A first detection beam containing two frequency laser components is emitted into the atmosphere. First and second echo signals reflected back from the atmosphere in response to the two frequency laser components in the first detection beam are received. Carbon dioxide concentration and wind field data are retrieved based on the difference between the first and second echo signals. The second detection system processes the second beam and emits the resulting second detection beam containing the two frequency laser components into the atmosphere. Third and fourth echo signals reflected back from the atmosphere in response to the two frequency laser components in the second detection beam are received. Water vapor concentration information is retrieved based on the intensity ratio of the third and fourth echo signals. The carbon dioxide concentration, wind field data, and water vapor concentration information are integrated into atmospheric environmental parameters.Therefore, this application generates a primary laser containing two different frequencies and satisfying the preset condition of extremely large differences in the absorption of carbon dioxide and water vapor by configuring a seed laser assembly containing a first seed laser and a second seed laser. The primary laser is then divided into a first beam and a second beam, each containing laser components of the two frequencies. This achieves a common source of light for multi-parameter detection, fundamentally ensuring the spatiotemporal consistency of the detection of carbon dioxide concentration, wind field data, and water vapor concentration, eliminating the mismatch in detection path, time, and sampling space caused by independent light sources in separate observation schemes. The first detection system processes the first beam and then emits a first detection beam containing laser components of the two frequencies. Based on the differences in the received two types of echo signals, carbon dioxide concentration and wind field data are synchronously inverted, achieving dual-parameter collaborative detection with a single detection system, eliminating the need for multiple sets of [equipment / systems]. Independent wind and carbon dioxide detection equipment simplifies the overall system architecture. A second detection system processes the second beam and emits a second detection beam containing two laser frequencies. Based on the intensity ratio of the two types of received echo signals, water vapor concentration information is retrieved. Relying on the beam-splitting design of the same-source laser, synchronous parallel detection of water vapor, carbon dioxide, and wind field parameters is achieved, avoiding system redundancy caused by building a separate water vapor detection light source link. The three types of parameters are directly integrated into atmospheric environmental parameters without additional interpolation, assumptions, or model corrections, reducing the uncertainty of data fusion and improving the reliability and scientific validity of atmospheric environmental parameters. This meets the demand for co-source collaborative observation data for key scientific issues such as carbon dioxide flux, while reducing the cost and difficulty of equipment procurement, deployment, and maintenance, and enhancing the operational application potential and mobile platform adaptability of the lidar system.

[0081] See Figure 5 As shown in the figure, this application discloses an atmospheric environmental parameter detection device applied to a lidar system. The lidar system includes a seed laser component, a first detection system, and a second detection system. The device includes:

[0082] The laser generation module 11 is used to generate a primary laser using the seed laser assembly; the seed laser assembly includes a first seed laser for generating a first laser and a second seed laser for generating a second laser; the primary laser includes the first laser and the second laser, and the first laser and the second laser have different frequencies and satisfy a preset condition of extremely large differences in the absorption of carbon dioxide and water vapor.

[0083] The laser beam splitter module 12 is used to split the original laser into a first beam and a second beam; both the first beam and the second beam contain the first laser and the second laser.

[0084] The first detection module 13 is used to process the first beam using the first detection system, and emit the resulting first detection beam containing two frequency laser components into the atmosphere, receive the first echo signal and the second echo signal reflected back by the atmosphere from the two frequency laser components in the first detection beam, and invert carbon dioxide concentration and wind field data based on the difference between the first echo signal and the second echo signal.

[0085] The second detection module 14 is used to process the second beam using the second detection system, and emit the resulting second detection beam containing two frequency laser components into the atmosphere, and receive the third echo signal and the fourth echo signal reflected back by the atmosphere from the two frequency laser components in the second detection beam, and invert water vapor concentration information based on the intensity ratio of the third echo signal and the fourth echo signal.

[0086] The parameter integration module 15 is used to integrate the carbon dioxide concentration, the wind field data, and the water vapor concentration information into atmospheric environmental parameters.

[0087] Furthermore, embodiments of this application also provide an electronic device. Figure 6 This is a structural diagram of an electronic device 20 according to an exemplary embodiment. The content of the diagram should not be construed as limiting the scope of this application.

[0088] Figure 6 This is a schematic diagram of the structure of an electronic device provided in an embodiment of this application. Specifically, it may include: at least one processor 21, at least one memory 22, a power supply 23, a communication interface 24, an input / output interface 25, and a communication bus 26. The memory 22 stores a computer program, which is loaded and executed by the processor 21 to implement the relevant steps in the atmospheric environmental parameter detection method performed by the electronic device disclosed in any of the foregoing embodiments.

[0089] In this embodiment, the power supply 23 is used to provide operating voltage for various hardware devices on the electronic device; the communication interface 24 can create a data transmission channel between the electronic device and external devices, and the communication protocol it follows can be any communication protocol applicable to the technical solution of this application, and is not specifically limited here; the input / output interface 25 is used to acquire external input data or output data to the outside world, and its specific interface type can be selected according to specific application needs, and is not specifically limited here.

[0090] The processor 21 may include one or more processing cores, such as a quad-core processor or an octa-core processor. The processor 21 may be implemented using at least one hardware form selected from DSP (Digital Signal Processing), FPGA (Field-Programmable Gate Array), and PLA (Programmable Logic Array). The processor 21 may also include a main processor and a coprocessor. The main processor, also known as a CPU (Central Processing Unit), is used to process data in the wake-up state; the coprocessor is a low-power processor used to process data in the standby state. In some embodiments, the processor 21 may integrate a GPU (Graphics Processing Unit), which is responsible for rendering and drawing the content to be displayed on the screen. In some embodiments, the processor 21 may also include an AI (Artificial Intelligence) processor, which is used to handle computational operations related to machine learning.

[0091] In addition, the memory 22, as a carrier for resource storage, can be a read-only memory, random access memory, disk or optical disk, etc. The resources stored on it include operating system 221, computer program 222 and data 223, etc., and the storage method can be temporary storage or permanent storage.

[0092] The operating system 221 manages and controls the various hardware devices and computer programs 222 on the electronic device to enable the processor 21 to perform calculations and processing on the massive amounts of data 223 in the memory 22. The operating system can be Windows, Unix, Linux, etc. The computer program 222, in addition to including a computer program capable of performing the atmospheric environmental parameter detection method executed by the electronic device as disclosed in any of the foregoing embodiments, may further include computer programs capable of performing other specific tasks. The data 223 may include data received by the electronic device from external devices, as well as data collected by its own input / output interface 25.

[0093] Furthermore, this application also discloses a computer-readable storage medium for storing a computer program; wherein, when the computer program is executed by a processor, it implements the aforementioned atmospheric environmental parameter detection method. Specific steps of this method can be found in the corresponding content disclosed in the foregoing embodiments, and will not be repeated here.

[0094] The various embodiments in this specification are described in a progressive manner, with each embodiment focusing on its differences from other embodiments. Similar or identical parts between embodiments can be referred to interchangeably. For the apparatus disclosed in the embodiments, since it corresponds to the method disclosed in the embodiments, the description is relatively simple; relevant parts can be referred to in the method section.

[0095] Those skilled in the art will further recognize that the units and algorithm steps of the various examples described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, computer software, or a combination of both. To clearly illustrate the interchangeability of hardware and software, the components and steps of the various examples have been generally described in terms of functionality in the foregoing description. Whether these functions are implemented in hardware or software depends on the specific application and design constraints of the technical solution. Those skilled in the art can use different methods to implement the described functions for each specific application, but such implementation should not be considered beyond the scope of this application. The steps of the methods or algorithms described in conjunction with the embodiments disclosed herein can be implemented directly in hardware, software modules executed by a processor, or a combination of both. The software module may be located in random access memory (RAM), memory, read-only memory (ROM), electrically programmable programmable read-only memory (EPROM), electrically erasable programmable read-only memory (EEPROM), register, hard disk, removable disk, CD-ROM (Compact Disc Read-Only Memory), or any other form of storage medium known in the art.

[0096] Finally, it should be noted that in this document, relational terms such as "first" and "second" are used only to distinguish one entity or operation from another, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Furthermore, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a process, method, article, or apparatus. Without further limitations, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, method, article, or apparatus that includes said element.

[0097] The present invention provides a detailed description of an atmospheric environmental parameter detection method, apparatus, device, and medium. Specific examples have been used to illustrate the principles and implementation methods of the present invention. The descriptions of the above embodiments are only intended to help understand the method and core ideas of the present invention. At the same time, those skilled in the art will recognize that, based on the ideas of the present invention, there will be changes in the specific implementation methods and application scope. Therefore, the content of this specification should not be construed as a limitation of the present invention.

Claims

1. A method of detecting an atmospheric environmental parameter, characterized in that, The application is applied to a laser radar system, the laser radar system comprises a seed laser assembly, a first detection system and a second detection system; the method comprises: Generating original laser by using the seed laser assembly; the seed laser assembly comprises a first seed laser for generating first laser and a second seed laser for generating second laser; the original laser comprises the first laser and the second laser, and the first laser and the second laser are different in frequency and meet a preset carbon dioxide and water vapor absorption difference maximum condition; Dividing the original laser into a first light beam and a second light beam; the first light beam and the second light beam both comprise the first laser and the second laser; Processing the first light beam by using the first detection system, emitting the obtained first detection light beam comprising two frequency laser components to the atmosphere, receiving first echo signal and second echo signal reflected by the atmosphere to the two frequency laser components in the first detection light beam, and inversely calculating carbon dioxide concentration and wind field data based on the difference between the first echo signal and the second echo signal; Processing the second light beam by using the second detection system, emitting the obtained second detection light beam comprising two frequency laser components to the atmosphere, and receiving third echo signal and fourth echo signal reflected by the atmosphere to the two frequency laser components in the second detection light beam, and inversely calculating water vapor concentration information based on the intensity ratio of the third echo signal and the fourth echo signal; Integrating the carbon dioxide concentration, the wind field data and the water vapor concentration information into atmospheric environmental parameters.

2. The method according to claim 1, characterized in that The frequency of the first laser and the frequency of the second laser correspond to the absorption peak frequency and the absorption valley frequency of carbon dioxide in a preset waveband respectively, and the preset waveband is a 1592 nm waveband.

3. The method according to claim 2, wherein The preset carbon dioxide and water vapor absorption difference maximum condition is that the difference between the carbon dioxide absorption cross section of the first laser and the second laser and the difference between the water vapor absorption degree are not less than a first preset absorption threshold and a second preset absorption threshold respectively.

4. The method according to claim 3, characterized in that The laser radar system further comprises an optical switch and a beam splitter, the input end of the optical switch is connected with the output end of the first seed laser and the output end of the second seed laser respectively, the output end of the optical switch is connected with the input end of the beam splitter, and the optical switch is used for alternately connecting the optical path between the first seed laser and the beam splitter and the optical path between the second seed laser and the beam splitter based on a preset time interval, and the output end of the beam splitter is connected with the input end of the second detection system and the input end of the second detection system respectively.

5. The method according to claim 1, wherein The processing of the first light beam by using the first detection system and the emission of the obtained first detection light beam comprising two frequency laser components to the atmosphere comprise: Dividing the first light beam after power amplification into a first sub-light beam and a second sub-light beam by using the first detection system, power amplifying the second sub-light beam to obtain a first detection light beam comprising two frequency laser components, and emitting the first detection light beam to the atmosphere; Correspondingly, the carbon dioxide concentration and the wind field data are retrieved based on the difference between the first echo signal and the second echo signal, including: The first sub-beam is mixed with the first echo signal and the second echo signal respectively to obtain a first mixed signal and a second mixed signal; The first echo signal intensity in the first mixed signal and the second echo signal intensity in the second mixed signal are determined, and the carbon dioxide concentration is retrieved based on the ratio between the first echo signal intensity and the second echo signal intensity; The wind field data is retrieved based on the Doppler shift amount in the first mixed signal and the second mixed signal.

6. The method according to claim 5, wherein The first detection system includes a first amplifier for power amplifying the first light beam, a second amplifier for power amplifying the second sub-beam, a large-mode-field fiber for transmitting the first detection light beam to a fiber circulator, the fiber circulator for directional optical path switching and emission of the first detection light beam, emission optics for collimating processing of the first detection light beam, a wedge-shaped turning mirror for emitting the collimated first detection light beam to the atmosphere, a telescope for receiving the first echo signal and the second echo signal, a balanced detector for mixing, and a filter for noise reduction of the first mixed signal and the second mixed signal.

7. The method according to any one of claims 1 to 6, wherein The water vapor concentration information is retrieved based on the intensity ratio of the third echo signal and the fourth echo signal, including: The ambient interference signal in the third echo signal is filtered out based on the intensity ratio between the third echo signal and the fourth echo signal to obtain a filtered third echo signal; The water vapor concentration information is retrieved based on the filtered third echo signal and the second detection light beam.

8. An atmospheric environmental parameter detecting device, characterized by comprising: Applied to a laser radar system, the laser radar system includes a seed laser assembly, a first detection system and a second detection system; the device includes: A laser generation module for generating original laser using the seed laser assembly; the seed laser assembly includes a first seed laser for generating a first laser and a second seed laser for generating a second laser; the original laser includes the first laser and the second laser, and the first laser and the second laser have different frequencies and satisfy a preset carbon dioxide and water vapor absorption difference degree maximum condition; A laser beam splitting module for splitting the original laser into a first light beam and a second light beam; the first light beam and the second light beam both contain the first laser and the second laser; A first detection module for processing the first light beam using the first detection system, emitting the obtained first detection light beam containing two frequency laser components into the atmosphere, receiving the first echo signal and the second echo signal reflected by the atmosphere against the two frequency laser components in the first detection light beam, and retrieving carbon dioxide concentration and wind field data based on the difference between the first echo signal and the second echo signal; a second detection module, configured to process the second light beam by using the second detection system, emit a second detection light beam containing two frequency laser components to the atmosphere, and receive third echo signals and fourth echo signals reflected by the atmosphere to the two frequency laser components in the second detection light beam, and inversely calculate water vapor concentration information based on intensity ratios of the third echo signals and the fourth echo signals; a parameter integration module, configured to integrate the carbon dioxide concentration, the wind field data, and the water vapor concentration information into atmospheric environmental parameters.

9. An electronic device, comprising: comprising: a memory, configured to store a computer program; a processor, configured to execute the computer program to implement steps of the atmospheric environmental parameter detection method according to any one of claims 1 to 7.

10. A computer-readable storage medium, characterized in that, a memory, configured to store a computer program; wherein the computer program is executed by a processor to implement steps of the atmospheric environmental parameter detection method according to any one of claims 1 to 7.

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