A cloud and precipitation particle comprehensive measurement system, method, device and storage medium

Abstract

The application discloses a cloud and precipitation particle comprehensive measurement system, method, equipment and storage medium, and relates to the technical field of computers, and comprises an optical unit, a detection unit, an acquisition and control unit and a data processing unit. The detection unit comprises a spectrum detector, a cloud particle imaging detector and a precipitation particle imaging detector. The optical unit is used for forming a laser screen through a single laser light source and a composite light path assembly. The coincident area of the screen and the coincident fields of view of the three detectors is used as a sampling space. The scattered light, cloud particle transmission shadow light and precipitation particle transmission shadow light generated by particles passing through the sampling space are guided to corresponding detectors. The detection unit is used for synchronously acquiring the three detectors based on a trigger signal of the acquisition and control unit, and generating particle spectrum data, one-dimensional cloud particle images and one-dimensional precipitation particle images. The data processing unit is used for generating particle size spectrum, two-dimensional cloud particle images and two-dimensional precipitation particle images, and obtaining measurement results through fusion processing.

Description

Technical Field

[0001] This invention relates to the field of computer technology, and in particular to a comprehensive measurement system, method, device and storage medium for clouds and precipitation particles. Background Technology

[0002] Currently, clouds play a crucial role in the entire Earth-atmosphere system, and their microphysical properties have a profound impact on climate change, weather forecasting, and weather modification operations. In-situ measurements are currently the primary means of obtaining high-precision particle spectrum distribution and number concentration parameters; however, existing equipment is mostly single-function and lacks comprehensive integration capabilities. Specifically, existing cloud and precipitation particle detection equipment generally suffers from low integration and limited functionality. In traditional solutions, cloud particle spectrometers, cloud particle imaging spectrometers, and precipitation particle imaging spectrometers are typically three independent devices that require separate installation, power supply, and communication.

[0003] In summary, how to achieve comprehensive measurement of clouds and precipitation particles is an urgent problem to be solved. Summary of the Invention

[0004] In view of this, the purpose of this invention is to provide a comprehensive cloud and precipitation particle measurement system, method, device, and storage medium, capable of achieving comprehensive cloud and precipitation particle measurement. The specific solution is as follows: In a first aspect, this application discloses a comprehensive cloud and precipitation particle measurement system, comprising an optical unit, a detection unit, an acquisition and control unit, and a data processing unit. The detection unit includes a spectral detector and two imaging detectors, namely a cloud particle imaging detector and a precipitation particle imaging detector. The optical unit is used to form a laser light curtain through a single laser light source and a composite optical path assembly, and to use the overlapping area of ​​the laser light curtain and the target field of view as a single sampling space. The scattered light generated by particles passing through the sampling space, the shadow light transmitted by cloud particles, and the shadow light transmitted by precipitation particles are respectively guided to the spectral detector and the two imaging detectors. The target field of view is the overlapping field of view of the spectral detector and the two imaging detectors. The detection unit is used to respond to the acquisition trigger signal sent by the acquisition and control unit, and control the spectral detector and the two imaging detectors to perform acquisition operations synchronously; the spectral detector is used to acquire the scattered light and generate particle spectrum data, the cloud particle imaging detector is used to acquire the cloud particle transmitted shadow light and generate a one-dimensional cloud particle image, and the precipitation particle imaging detector is used to acquire the precipitation particle transmitted shadow light and generate a one-dimensional precipitation particle image. The data processing unit is used to determine the particle size spectrum based on the particle spectrum data, determine the two-dimensional cloud particle image based on the one-dimensional cloud particle image, determine the two-dimensional precipitation particle image based on the one-dimensional precipitation particle image, and perform fusion processing on the particle size spectrum, the two-dimensional cloud particle image and the two-dimensional precipitation particle image according to the multi-source fusion algorithm to obtain the comprehensive measurement results of cloud and precipitation particles.

[0005] Optionally, the composite optical path assembly includes an emission shaping optical path assembly and a beam-splitting receiving optical path assembly. The emission shaping optical path assembly includes a beam-shaping lens comprising a Powell prism and a cylindrical mirror in sequence. The beam-splitting receiving optical path assembly includes a scattered light receiving optical path placed in the forward small-angle scattering region of the laser light curtain and equipped with a preset receiving field stop; a cloud particle transmission light imaging optical path located directly behind the laser light curtain and equipped with a preset high-magnification imaging lens; and a precipitation particle transmission light imaging optical path located directly behind the laser light curtain and equipped with a preset low-magnification imaging lens. The beam shaping lens is used to homogenize and shape the initial laser beam to form the laser light curtain. The scattered light receiving optical path is used to guide the scattered light generated by the particles passing through the sampling space to the spectral detector through the preset receiving field aperture; The cloud particle transmission light imaging optical path is used to guide the cloud particle transmission shadow light generated by the particles passing through the sampling space to the cloud particle imaging detector through the preset high-magnification imaging lens. The precipitation particle transmission light imaging optical path is used to guide the precipitation particle transmission shadow light generated by the particles passing through the sampling space to the precipitation particle imaging detector through the preset low-magnification imaging lens.

[0006] Optionally, the beam-splitting receiving optical path assembly further includes a narrowband filter corresponding to the spectral detector; wherein, The narrowband filter is used to filter out background light from the scattered light.

[0007] Optionally, the acquisition and control unit includes a field-programmable gate array (FPGA) timing controller; the FPGA timing controller includes programmable logic devices and a delay calibration module; wherein, The programmable logic device is used to generate acquisition trigger signals for the spectral detector and the two imaging detectors; The delay calibration module is used to adjust the corresponding signal transmission time according to the transmission delay of each acquisition trigger signal, so that the acquisition time of the spectral detector and the two imaging detectors correspond to the same time reference.

[0008] Optionally, the acquisition and control unit is further configured to determine the detection signal-to-noise ratio of the spectral detector, the cloud particle imaging detector, and the precipitation particle imaging detector respectively based on the particle spectrum data, the one-dimensional cloud particle image, and the one-dimensional precipitation particle image, and adjust the digital filtering information and trigger level threshold of the corresponding detectors according to the detection signal-to-noise ratio; The acquisition and control unit is also used to determine the minimum cloud particle size based on the particle spectrum data and the one-dimensional cloud particle image. If the minimum cloud particle size is less than a first preset cloud particle size threshold, the gain of the spectral detector is increased according to a preset gain adjustment rule, and the sampling strategy of the cloud particle imaging detector is adjusted according to a preset sampling strategy adjustment rule. The acquisition and control unit is further configured to determine the maximum precipitation particle size based on the particle spectrum data and the one-dimensional precipitation particle image. If the maximum precipitation particle size is less than a first preset precipitation particle size threshold, the gain of the spectral detector is reduced according to the preset gain adjustment rule, and the sampling strategy of the precipitation particle imaging detector is adjusted according to the preset sampling strategy adjustment rule.

[0009] Optionally, the data processing unit is used to perform iterative inversion processing on the particle spectrum data using the forward Mie scattering principle and Kalman filtering to obtain a first particle size distribution, thereby constructing a particle spectrum distribution image. It then uses the slice maximum method and a deep learning segmentation network to process the one-dimensional cloud particle image and the one-dimensional precipitation particle image to obtain a second cloud particle size distribution and a second precipitation particle size distribution, thereby reconstructing the two-dimensional cloud particle image and the two-dimensional precipitation particle image. Finally, it performs weighted fusion on the particle spectrum distribution image, the two-dimensional cloud particle image, and the two-dimensional precipitation particle image to obtain a comprehensive measurement result of cloud and precipitation particles.

[0010] Optionally, the data processing unit is further configured to compare the first particle size distribution with the second cloud particle size distribution to obtain a temporary cloud particle size, and when the temporary cloud particle size is greater than a second preset cloud particle size threshold, adjust the learning parameters in the inversion process, and use the new learning parameters to perform iterative inversion processing to obtain a new first particle size distribution in order to construct a new particle spectrum distribution image. The data processing unit is further configured to compare the first particle size distribution with the second precipitation particle size distribution to obtain the temporary precipitation particle size, and adjust the weighting weight of the weighted fusion process according to the magnitude of the cloud particle size deviation and the precipitation particle size deviation; the cloud particle size deviation is the deviation between the temporary cloud particle size and the second preset cloud particle size threshold; the precipitation particle size deviation is the deviation between the temporary precipitation particle size and the second preset precipitation particle size threshold.

[0011] Secondly, this application discloses a method for comprehensive measurement of cloud and precipitation particles, applied to a comprehensive cloud and precipitation particle measurement system. The comprehensive cloud and precipitation particle measurement system includes an optical unit, a detection unit, an acquisition and control unit, and a data processing unit. The detection unit includes a spectral detector and two imaging detectors, namely a cloud particle imaging detector and a precipitation particle imaging detector. The method includes: A laser light curtain is formed by a single laser source and a composite optical path assembly in the optical unit. The overlapping area of ​​the laser light curtain and the target field of view is used as a single sampling space. The scattered light generated by particles passing through the sampling space, the shadow light transmitted by cloud particles, and the shadow light transmitted by precipitation particles are guided to the spectral detector and the two imaging detectors, respectively. The target field of view is the overlapping field of view of the spectral detector and the two imaging detectors. The detection unit, in response to the acquisition trigger signal sent by the acquisition and control unit, controls the spectral detector and the two imaging detectors to synchronously perform acquisition operations; the spectral detector is used to acquire the scattered light and generate particle spectrum data, the cloud particle imaging detector is used to acquire the cloud particle transmitted shadow light and generate a one-dimensional cloud particle image, and the precipitation particle imaging detector is used to acquire the precipitation particle transmitted shadow light and generate a one-dimensional precipitation particle image. The data processing unit determines the particle size spectrum based on the particle spectrum data, determines the two-dimensional cloud particle image based on the one-dimensional cloud particle image, and determines the two-dimensional precipitation particle image based on the one-dimensional precipitation particle image. The particle size spectrum, the two-dimensional cloud particle image, and the two-dimensional precipitation particle image are fused according to a multi-source fusion algorithm to obtain a comprehensive measurement result of cloud and precipitation particles.

[0012] Thirdly, this application discloses an electronic device, including: Memory, used to store computer programs; A processor is used to execute the computer program to implement the aforementioned disclosed method for integrated measurement of clouds and precipitation particles.

[0013] 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 aforementioned comprehensive measurement method for clouds and precipitation particles.

[0014] As can be seen, this application proposes a comprehensive cloud and precipitation particle measurement system, including an optical unit, a detection unit, an acquisition and control unit, and a data processing unit. The detection unit includes a spectral detector and two imaging detectors, namely a cloud particle imaging detector and a precipitation particle imaging detector. The optical unit is used to form a laser light curtain using a single laser source and a composite optical path assembly. The overlapping area of ​​the laser light curtain and the target field of view is used as a single sampling space. Scattered light, cloud particle transmitted shadow light, and precipitation particle transmitted shadow light generated by particles passing through the sampling space are guided to the spectral detector and the two imaging detectors, respectively. The target field of view is the overlapping field of view of the spectral detector and the two imaging detectors. The detection unit is used in response to the acquisition and control unit... The acquisition trigger signal sent by the control unit controls the spectral detector and the two imaging detectors to synchronously perform acquisition operations. The spectral detector is used to acquire the scattered light and generate particle spectrum data, the cloud particle imaging detector is used to acquire the cloud particle transmitted shadow light and generate a one-dimensional cloud particle image, and the precipitation particle imaging detector is used to acquire the precipitation particle transmitted shadow light and generate a one-dimensional precipitation particle image. The data processing unit is used to determine the particle size spectrum based on the particle spectrum data, determine the two-dimensional cloud particle image based on the one-dimensional cloud particle image, determine the two-dimensional precipitation particle image based on the one-dimensional precipitation particle image, and perform fusion processing on the particle size spectrum, the two-dimensional cloud particle image, and the two-dimensional precipitation particle image according to a multi-source fusion algorithm to obtain the comprehensive measurement result of cloud and precipitation particles. Therefore, this application proposes a comprehensive cloud and precipitation particle measurement system that synchronously acquires scattered light, cloud particle transmitted shadow light, and precipitation particle transmitted shadow light in the same sampling space, ensuring synchronous measurement of particle spectrum, cloud particle imaging, and precipitation particle imaging. The subsequent fusion of the measured content through a multi-source fusion algorithm achieves comprehensive cloud and precipitation particle measurement. Attached Figure Description

[0015] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on the provided drawings without creative effort.

[0016] Figure 1 This is a schematic diagram of a cloud and precipitation particle integrated measurement system disclosed in this application; Figure 2 This is a schematic diagram of the structure of a cloud and precipitation particle integrated measurement system disclosed in this application; Figure 3 This is a schematic diagram of a comprehensive cloud and precipitation particle measurement process disclosed in this application; Figure 4 This is a flowchart of a specific cloud and precipitation particle integrated measurement method disclosed in this application; Figure 5 This is a structural diagram of an electronic device disclosed in this application. Detailed Implementation

[0017] The technical solutions of the embodiments of the present invention 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 skilled in the art without creative effort are within the scope of protection of the present invention.

[0018] Currently, clouds play a crucial role in the entire Earth-atmosphere system, and their microphysical properties have a profound impact on climate change, weather forecasting, and weather modification operations. In-situ measurements are currently the primary means of obtaining high-precision particle spectrum distribution and number concentration parameters; however, existing equipment is mostly single-function and lacks comprehensive integration capabilities. Specifically, existing cloud and precipitation particle detection equipment generally suffers from low integration and limited functionality. In traditional solutions, cloud particle spectrometers, cloud particle imaging spectrometers, and precipitation particle imaging spectrometers are typically three independent devices that require separate installation, power supply, and communication.

[0019] Therefore, this application proposes a comprehensive cloud and precipitation particle measurement scheme that can achieve comprehensive cloud and precipitation particle measurement.

[0020] This application discloses a comprehensive measurement system for clouds and precipitation particles. See also... Figure 1 As shown, it includes an optical unit 11, a detection unit 12, an acquisition and control unit 13, and a data processing unit 14. The detection unit includes a spectral detector 121 and two imaging detectors, namely a cloud particle imaging detector 122 and a precipitation particle imaging detector 123; wherein, The optical unit is used to form a laser light curtain through a single laser light source 111 and a composite optical path assembly 112, and to use the overlapping area of ​​the laser light curtain and the target field of view as a single sampling space. The scattered light generated by particles passing through the sampling space, the shadow light transmitted by cloud particles, and the shadow light transmitted by precipitation particles are respectively guided to the spectral detector and the two imaging detectors. The target field of view is the overlapping field of view of the spectral detector and the two imaging detectors. The detection unit is used to respond to the acquisition trigger signal sent by the acquisition and control unit, and control the spectral detector and the two imaging detectors to perform acquisition operations synchronously; the spectral detector is used to acquire the scattered light and generate particle spectrum data, the cloud particle imaging detector is used to acquire the cloud particle transmitted shadow light and generate a one-dimensional cloud particle image, and the precipitation particle imaging detector is used to acquire the precipitation particle transmitted shadow light and generate a one-dimensional precipitation particle image. The data processing unit is used to determine the particle size spectrum based on the particle spectrum data, determine the two-dimensional cloud particle image based on the one-dimensional cloud particle image, determine the two-dimensional precipitation particle image based on the one-dimensional precipitation particle image, and perform fusion processing on the particle size spectrum, the two-dimensional cloud particle image and the two-dimensional precipitation particle image according to the multi-source fusion algorithm to obtain the comprehensive measurement results of cloud and precipitation particles.

[0021] It should be noted that the acquisition and control unit may also include a DSP signal processing unit, which is used to perform preliminary noise reduction and data packaging on the content transmitted to the data processing unit.

[0022] It should be noted that this application integrates three independent payloads (spectral detector and two imaging detectors) into one device, significantly reducing size and weight, greatly alleviating the load burden on platforms such as UAVs, improving portability, and achieving a highly integrated and lightweight design. Furthermore, a single device can simultaneously acquire particle spectra, cloud particle images, precipitation particle images, and environmental parameters, reducing development costs and maintenance difficulty, and improving field operation efficiency.

[0023] It should be noted that the single light source and single optical path design eliminates the spatiotemporal deviation between multiple devices, and the APD and CCD data are strictly synchronized, providing more reliable and accurate data support for the study of cloud microphysics processes.

[0024] In this embodiment, the composite optical path assembly includes an emission shaping optical path assembly and a beam-splitting and receiving optical path assembly. The emission shaping optical path assembly includes a beam-shaping lens comprising a Powell prism and a cylindrical mirror in sequence. The beam-splitting and receiving optical path assembly includes a scattered light receiving optical path placed in the forward small-angle scattering region of the laser light curtain and equipped with a preset receiving field stop; a cloud particle transmission light imaging optical path located directly behind the laser light curtain and equipped with a preset high-magnification imaging lens; and a precipitation particle transmission light imaging optical path located directly behind the laser light curtain and equipped with a preset low-magnification imaging lens. The beam-shaping lens is used to shape the initial... The laser beam is homogenized and shaped to form the laser light curtain; the scattered light receiving optical path is used to guide the scattered light generated by particles passing through the sampling space to the spectral detector through the preset receiving field stop; the cloud particle transmitted light imaging optical path is used to guide the cloud particle transmitted shadow light generated by particles passing through the sampling space to the cloud particle imaging detector through the preset high-magnification imaging lens; the precipitation particle transmitted light imaging optical path is used to guide the precipitation particle transmitted shadow light generated by particles passing through the sampling space to the precipitation particle imaging detector through the preset low-magnification imaging lens.

[0025] In this embodiment, the emission shaping optical path assembly includes a beam shaping lens comprising a Powell prism and a cylindrical mirror in sequence; the beam splitting and receiving optical path assembly includes a scattered light receiving optical path placed in the forward small-angle scattering region of the laser light curtain and equipped with a preset receiving field stop, a cloud particle transmission light imaging optical path located directly behind the laser light curtain and equipped with a preset high-magnification imaging lens, and a precipitation particle transmission light imaging optical path located directly behind the laser light curtain and equipped with a preset low-magnification imaging lens; wherein, the beam shaping lens is used to homogenize and shape the initial laser beam to form the laser light curtain; the scattered light receiving optical path is used to guide the scattered light generated by particles passing through the sampling space to the spectral detector through the preset receiving field stop; the cloud particle transmission light imaging optical path is used to guide the cloud particle transmission shadow light generated by particles passing through the sampling space to the cloud particle imaging detector through the preset high-magnification imaging lens; and the precipitation particle transmission light imaging optical path is used to guide the precipitation particle transmission shadow light generated by particles passing through the sampling space to the precipitation particle imaging detector through the preset low-magnification imaging lens.

[0026] In this embodiment, the beam-splitting receiving optical path assembly further includes a narrowband filter corresponding to the spectral detector; wherein the narrowband filter is used to filter out background light in the scattered light.

[0027] It should be noted that the optical path component of this application utilizes the matching design of the optical narrow field of view and the emission field of view to guide optical signals with different physical characteristics to different detectors through spatial position differences (the forward small-angle scattering area or directly behind the laser light curtain) and aperture or filter components, while ensuring the detection efficiency of cloud particle spectrum, cloud particle imaging and precipitation particle imaging.

[0028] It should be noted that the spectral detector is a high quantum efficiency avalanche photodiode (APD), the cloud particle imaging detector is a 64-element linear array CCD1, the precipitation particle imaging detector is a 64-element linear array CCD2, and the single laser source is a red semiconductor laser.

[0029] It should be noted that the forward small-angle scattering zone can be 15° to 30°; specifically, the APD path (scattered light receiving optical path): the APD is placed in the forward small-angle scattering zone, and a specific receiving field stop is set in the optical path to allow only scattered light within this angle range to pass through, and after passing through a narrow-band filter (to filter out ambient background stray light) it is focused on the APD.

[0030] It should be noted that both the preset high-magnification imaging lens and the preset low-magnification imaging lens are cemented doublet achromatic lenses. Specifically, the CCD (imaging) path is as follows: the CCD is located directly behind the laser light curtain (0° transmission direction). The imaging lens (cemented doublet achromatic lens) is used to image the particle shadows of the sampling area onto the CCD target surface. Specifically, the distinction between CCD1 and CCD2: although both receive transmitted light, they are physically separated by magnification design and detection field of view size: CCD1 (cloud particles): with a high-magnification lens, small field of view, high resolution, corresponding to small particles; CCD2 (precipitation particles): with a low-magnification lens, large field of view, corresponding to large particles.

[0031] It should be noted that the APD detects scattered light, while the CCD detects transmitted / shadow light. In terms of optical path design, the scattered light receiving probe and the transmitted light imaging lens are at a specific angle (such as an L-shaped or T-shaped layout) to physically avoid interference and achieve spatial isolation. The optical unit design ensures that the laser light curtain, the APD receiving field of view, and the CCD imaging field of view are strictly coincident in space (confocal / common field of view design). Only particles that pass through this unique effective sampling area will simultaneously generate scattered light received by the APD and shadow received by the CCD, thus achieving field of view matching.

[0032] In this embodiment, the acquisition actions of the detection units (APD and CCD) are uniformly controlled by the acquisition and control unit (FPGA / DSP). The optical unit is responsible for guiding the signal to the corresponding detector, but the timing of acquisition is determined by the acquisition and control unit. Specifically, the acquisition and control unit includes a field-programmable gate array timing controller; the field-programmable gate array timing controller includes a programmable logic device and a delay calibration module; wherein, the programmable logic device is used to generate acquisition trigger signals for the spectral detector and the two imaging detectors; the delay calibration module is used to adjust the corresponding signal transmission time according to the transmission delay of each acquisition trigger signal, so that the acquisition time of the spectral detector and the two imaging detectors corresponds to the same time reference.

[0033] It should be noted that the two imaging detectors are time-triggered and require strict synchronization. The system uses a high-precision timing synchronization system and delay line calibration to ensure that the APD and CCD complete synchronous triggering within microseconds, achieving strict correspondence between spectral and image data. Furthermore, the acquisition mode is not a simple continuous acquisition, but a time-triggered synchronous acquisition. For example, the CCD records slices rapidly at a frequency of 1Hz, and the APD synchronously captures the scattered signal.

[0034] It should be noted that the FPGA is the core of the system. It generates the laser trigger signal and, based on delay line calibration, sends synchronous acquisition trigger signals (microsecond-level synchronization) to the APD and CCD. Simultaneously, it controls the acquisition timing of the temperature and humidity sensors (located inside the acquisition and control unit). The temperature and humidity signals acquired by the sensors serve as environmental information (air temperature, relative humidity). These environmental parameters are integrated into subsequent multi-source data fusion algorithms for cross-validation spectral inversion and imaging reconstruction results, improving the accuracy of data inversion. Specific details are not provided here.

[0035] It should be noted that the acquisition and control unit may also include a signal conditioning circuit and a power management module. The power management module is used for power management. The signal conditioning circuit includes a low-noise amplifier and a comparator, which are responsible for amplifying, filtering and shaping the weak analog signal output by the detector, converting the signal into a digital signal suitable for FPGA / DSP processing, while suppressing environmental noise and improving the signal-to-noise ratio.

[0036] It should be noted that anti-icing and defogging devices, as well as shock-resistant devices, can be designed. These devices are designed synchronously with high-precision timing systems to support operation in complex meteorological environments. Specifically, for the anti-icing and defogging device, heating elements and airflow guides can be specifically configured. When conducting detection in complex meteorological environments with high altitude, low temperature, and high humidity, the instrument's optical window or sampling area is highly susceptible to icing due to low temperatures or fogging due to temperature differences. This can severely obstruct the optical path, leading to distorted measurement data or even equipment malfunction. To ensure stable operation, heating elements are used to raise the temperature of key components, and airflow guides are used to disperse or isolate cold, humid air, effectively preventing the formation of ice and fog, and ensuring that the instrument can still perform stable and reliable in-situ detection even in harsh environments. It should be noted that the heating elements and airflow guides can be integrated into the optical unit.

[0037] In this embodiment, the data processing unit, based on a nonlinear mapping model and utilizing the forward Mie scattering principle and Kalman filtering, iteratively inverts the particle spectrum data to obtain a first particle size distribution, thereby constructing a particle spectrum distribution image. It then uses the slice maximum method and a deep learning segmentation network to process the one-dimensional cloud particle image and the one-dimensional precipitation particle image to obtain a second cloud particle size distribution and a second precipitation particle size distribution, thereby reconstructing the two-dimensional cloud particle image and the two-dimensional precipitation particle image. Finally, it performs weighted fusion of the particle spectrum distribution image, the two-dimensional cloud particle image, and the two-dimensional precipitation particle image to obtain a comprehensive measurement result of cloud and precipitation particles. The nonlinear mapping model is a model characterizing the functional relationship between scattered light power and particle size.

[0038] It should be noted that the nonlinear mapping model characterizes the functional relationship between the scattered light power (P) and the particle size (D). Since Mie scattering exhibits oscillations when the particle size approaches the wavelength of light, this is a nonlinear mapping relationship. Specifically, based on Mie theory, the relationship between the scattered light power P and the particle size D can be expressed as: , ;in, The intensity of the incident laser; The wavelength of the laser; For detection distance; , To scatter angle The Mie scattering intensity function related to particle size D (involving Bessel functions).

[0039] Beneficial effects: Kalman filtering is introduced to iteratively optimize the inversion process. Specifically, due to the presence of noise in actual detection, the direct inversion error is large. The system uses the state equation of Kalman filtering to predict the particle spectrum distribution and combines it with the observation equation (measured scattering power) for correction. Specifically, parameters such as the system response coefficient or background noise basis in the model are corrected in real time, so that the system can quickly converge to the true particle size value in the nonlinear mapping, making the inversion results more accurate and stable.

[0040] It should be noted that to reconstruct the two-dimensional morphology of particles, it is necessary to know the maximum contour and combine time-series information from multiple slices with deep learning algorithms to stitch together the one-dimensional slices. Therefore, the slice maximum value and segmentation network are introduced: the slice maximum value refers to the maximum diameter (or maximum width) of the particle contour extracted from the image slices recorded by the CCD, which is used to calculate the particle diameter; the deep learning segmentation network is not only based on maximum contour reconstruction, but is used for image reconstruction. It combines multiple one-dimensional slices recorded by the CCD (the diameter is calculated by the slice maximum value method) through algorithms to reconstruct a high-resolution two-dimensional image of particles.

[0041] It's important to note that the reconstruction relies on a series of slice data (time series) continuously captured by the linear CCD as the same particle passes through the laser light curtain, rather than multiple different particles captured in a single session. During reconstruction, since the particle passes through the light curtain at a velocity *v*, and the CCD scans at a frequency *f* (1 Hz), the system stacks and stitches consecutive 1D slices along the time axis based on *v* and *f* to form a 2D image. The segmentation network's role is to remove noise and repair edges in the slices before or after stitching, thereby obtaining a high-resolution image.

[0042] In this embodiment, the data processing unit is further configured to compare the first particle size distribution with the second cloud particle size distribution to obtain a temporary cloud particle size, and when the temporary cloud particle size is greater than a second preset cloud particle size threshold, adjust the learning parameters in the inversion process, and use the new learning parameters to perform iterative inversion processing to obtain a new first particle size distribution, so as to construct a new particle spectrum distribution image; correspondingly, the data processing unit is further configured to compare the first particle size distribution with the second precipitation particle size distribution to obtain a temporary precipitation particle size, and adjust the weighting weight of the weighted fusion process according to the magnitude of the cloud particle size deviation and the precipitation particle size deviation; the cloud particle size deviation is the deviation between the temporary cloud particle size and the second preset cloud particle size threshold; the precipitation particle size deviation is the deviation between the temporary precipitation particle size and the second preset precipitation particle size threshold.

[0043] It should be noted that the preset cloud particle size threshold can be 10%; it should be noted that the parameters to be learned in the inversion process are the system response coefficient K(t) or the background noise basis B(t) in the nonlinear mapping model; specifically, when there is a deviation, the estimated values ​​of K(t) and B(t) are updated using Kalman gain, so that the inversion of D at the next moment is more accurate.

[0044] In one specific embodiment, branch 1 (spectral branch): inputs APD data and outputs particle size distribution. Branch 2 (Image Branch): Input CCD image, output particle size distribution. Verification: Calculation and Statistical differences (e.g., root mean square error); weight adjustment: if both are consistent, output results (generally = =0.5), if the deviation exceeds the threshold (e.g., large particle imaging is accurate, small particle scattering is accurate), the network will automatically adjust the weights, for example, increasing the weight of CCD data when detecting large particles. When detecting tiny cloud droplets (which are difficult for CCD to clearly distinguish), increase the weight of APD data. Parameter correction: At the same time, the deviation signal is fed back to the APD inversion model to correct its learning parameters.

[0045] In this embodiment, high-precision detection of particles with different particle sizes can be achieved under the same optical path by adjusting the sampling strategy of the imaging detector and the gain of the spectral detector. Specifically, the acquisition and control unit is further configured to determine the detection signal-to-noise ratio (SNR) of the spectral detector, the cloud particle imaging detector, and the precipitation particle imaging detector respectively based on the particle spectrum data, the one-dimensional cloud particle image, and the one-dimensional precipitation particle image, and adjust the digital filtering information and trigger level threshold of the corresponding detectors according to the detection SNR. The acquisition and control unit is also configured to determine the minimum [missing information] based on the particle spectrum data and the one-dimensional cloud particle image. The cloud particle size is determined by the following: if the minimum cloud particle size is less than a first preset cloud particle size threshold, the gain of the spectral detector is increased according to a preset gain adjustment rule, and the sampling strategy of the cloud particle imaging detector is adjusted according to a preset sampling strategy adjustment rule. The acquisition and control unit is also used to determine the maximum precipitation particle size based on the particle spectrum data and the one-dimensional precipitation particle image. If the maximum precipitation particle size is less than the first preset precipitation particle size threshold, the gain of the spectral detector is decreased according to the preset gain adjustment rule, and the sampling strategy of the precipitation particle imaging detector is adjusted according to the preset sampling strategy adjustment rule.

[0046] It should be noted that the signal-to-noise ratio is calculated by the data processing unit, specifically by real-time monitoring the ratio of the signal strength output by the detector to the background noise level when there are no particles.

[0047] It should be noted that the preset sampling strategy adjustment rules are as follows: 1. When small cloud particles (particle size <50μm, weak signal) are detected, the high-voltage bias is increased and the gain is improved for the APD, and the exposure time (integration time) is increased for the CCD to improve sensitivity. This improves the ability to capture weak scattered light and small shadows, preventing missed detections. 2. When heavy precipitation particles (particle size >2000μm, strong signal / fast speed) are detected, the gain is reduced for the APD to prevent signal saturation and overflow, and the exposure time is reduced and the frame rate is increased for the CCD (sampling strategy). This prevents detector saturation (blinding) caused by strong light and ensures that fast-moving particles are imaged without motion blur. 3. When there is high ambient noise (low signal-to-noise ratio), digital filtering is activated or the trigger level threshold is adjusted for the APD / CCD. This suppresses background light interference and ensures data purity. It should be noted that the dynamic adjustment mechanism enables the instrument to see both small cloud droplets and withstand the strong light impact of large raindrops, achieving an ultra-wide measurement range coverage of 2-6200μm.

[0048] It should be noted that the data processing unit adopts a high and low temperature resistant embedded industrial control computer, which undertakes the functions of real-time data reception, storage, image reconstruction, and parameter inversion. Specifically, the data processing unit includes a communication interface module (RS485 / 422), an industrial-grade SSD storage module, a high and low temperature resistant embedded engineering machine, and a visualization and reconstruction module. The communication interface module realizes data transmission between the acquisition and control unit and the data processing unit; the high and low temperature resistant embedded engineering machine has the functions of inversion, image reconstruction, and weighted fusion; and the visualization and reconstruction module has the function of visualizing all results.

[0049] As can be seen, this application proposes a comprehensive cloud and precipitation particle measurement system, including an optical unit, a detection unit, an acquisition and control unit, and a data processing unit. The detection unit includes a spectral detector and two imaging detectors, namely a cloud particle imaging detector and a precipitation particle imaging detector. The optical unit is used to form a laser light curtain using a single laser source and a composite optical path assembly. The overlapping area of ​​the laser light curtain and the target field of view is used as a single sampling space. Scattered light, cloud particle transmitted shadow light, and precipitation particle transmitted shadow light generated by particles passing through the sampling space are guided to the spectral detector and the two imaging detectors, respectively. The target field of view is the overlapping field of view of the spectral detector and the two imaging detectors. The detection unit is used in response to the acquisition and control unit... The acquisition trigger signal sent by the control unit controls the spectral detector and the two imaging detectors to synchronously perform acquisition operations. The spectral detector is used to acquire the scattered light and generate particle spectrum data, the cloud particle imaging detector is used to acquire the cloud particle transmitted shadow light and generate a one-dimensional cloud particle image, and the precipitation particle imaging detector is used to acquire the precipitation particle transmitted shadow light and generate a one-dimensional precipitation particle image. The data processing unit is used to determine the particle size spectrum based on the particle spectrum data, determine the two-dimensional cloud particle image based on the one-dimensional cloud particle image, determine the two-dimensional precipitation particle image based on the one-dimensional precipitation particle image, and perform fusion processing on the particle size spectrum, the two-dimensional cloud particle image, and the two-dimensional precipitation particle image according to a multi-source fusion algorithm to obtain the comprehensive measurement result of cloud and precipitation particles. Therefore, this application proposes a comprehensive cloud and precipitation particle measurement system that synchronously acquires scattered light, cloud particle transmitted shadow light, and precipitation particle transmitted shadow light in the same sampling space, ensuring synchronous measurement of particle spectrum, cloud particle imaging, and precipitation particle imaging. The subsequent fusion of the measured content through a multi-source fusion algorithm achieves comprehensive cloud and precipitation particle measurement.

[0050] See Figure 2 The diagram shows a schematic of a cloud and precipitation particle integrated measurement system. The system includes an optical unit (21), a detection unit (22), an APD (23), a linear CCD1 (24), a linear CCD2 (25), a power supply and communication interface (26), an acquisition and control unit (module) (27), a power management module (28), an FPGA (29), a DSP (30), a data processing unit (31), a storage module (32), a communication module (33), and an air inlet / outlet (34). The data processing unit (31) includes a storage module (i.e., industrial-grade SSD storage) and a communication module (i.e., a communication interface module). The power supply and communication interface are used for power supply and information transmission of the entire system. The functions of other parts have been described in the above embodiments and will not be described in detail here.

[0051] See Figure 3 The diagram illustrates a comprehensive cloud and precipitation particle measurement process. In the diagram, the ground control station sends detection commands to the electromechanical management computer via an airborne data link terminal. The electromechanical management computer then sends signals to the in-situ cloud and precipitation particle comprehensive measurement instrument. The instrument begins detection and sends the detected data to the integrated processing unit (data processing unit). The integrated processing unit integrates the data and sends it back to the ground control station via the airborne data link terminal. The ground control station manually determines whether the detection data meets the conditions for rain enhancement. If the conditions are met, an ignition command is sent to the flare distributors at attachment points 3 and 4 via the airborne data link terminal. The flare distributors then perform catalytic operations. Specific details have been described in the above embodiments and will not be repeated here.

[0052] Accordingly, this application also discloses a method for comprehensive measurement of cloud and precipitation particles, applied to a comprehensive cloud and precipitation particle measurement system. The comprehensive cloud and precipitation particle measurement system includes an optical unit, a detection unit, an acquisition and control unit, and a data processing unit. The detection unit includes a spectral detector and two imaging detectors, namely a cloud particle imaging detector and a precipitation particle imaging detector. See [link to relevant documentation]. Figure 4 As shown, the method includes: Step S11: A laser light curtain is formed by the single laser light source and the composite optical path component in the optical unit. The overlapping area of ​​the laser light curtain and the target field of view is taken as a single sampling space. The scattered light generated by particles passing through the sampling space, the shadow light transmitted by cloud particles, and the shadow light transmitted by precipitation particles are guided to the spectral detector and the two imaging detectors, respectively. The target field of view is the overlapping field of view of the spectral detector and the two imaging detectors.

[0053] Step S12: In response to the acquisition trigger signal sent by the acquisition and control unit, the detection unit controls the spectral detector and the two imaging detectors to synchronously perform acquisition operations; the spectral detector is used to acquire the scattered light and generate particle spectrum data, the cloud particle imaging detector is used to acquire the cloud particle transmitted shadow light and generate a one-dimensional cloud particle image, and the precipitation particle imaging detector is used to acquire the precipitation particle transmitted shadow light and generate a one-dimensional precipitation particle image.

[0054] Step S13: The data processing unit determines the particle size spectrum based on the particle spectrum data, determines the two-dimensional cloud particle image based on the one-dimensional cloud particle image, determines the two-dimensional precipitation particle image based on the one-dimensional precipitation particle image, and performs fusion processing on the particle size spectrum, the two-dimensional cloud particle image, and the two-dimensional precipitation particle image according to the multi-source fusion algorithm to obtain the comprehensive measurement results of cloud and precipitation particles.

[0055] For more detailed information on the working process of each of the above steps, please refer to the relevant content disclosed in the foregoing embodiments, which will not be repeated here.

[0056] Furthermore, embodiments of this application also provide an electronic device. Figure 5 This is a structural diagram of an electronic device 40 according to an exemplary embodiment. The content of the diagram should not be construed as limiting the scope of this application.

[0057] Figure 5 This is a schematic diagram of the structure of an electronic device 40 provided in an embodiment of this application. Specifically, the electronic device 40 may include: at least one processor 41, at least one memory 42, a display screen 43, an input / output interface 44, a communication interface 45, a power supply 46, and a communication bus 47. The memory 42 stores a computer program, which is loaded and executed by the processor 41 to implement the relevant steps in the cloud and precipitation particle integrated measurement method disclosed in any of the foregoing embodiments. Furthermore, the electronic device 40 in this embodiment may specifically be an electronic computer.

[0058] In this embodiment, the power supply 46 is used to provide operating voltage for each hardware device on the electronic device 40; the communication interface 45 can create a data transmission channel between the electronic device 40 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 44 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.

[0059] Furthermore, the memory 42, as a carrier for resource storage, can be a read-only memory, random access memory, disk, or optical disk, etc. The resources stored thereon may include computer programs 421, and the storage method may be temporary storage or permanent storage. In addition to including computer programs capable of performing the cloud and precipitation particle integrated measurement method executed by electronic device 40 as disclosed in any of the foregoing embodiments, the computer program 421 may further include computer programs capable of performing other specific tasks.

[0060] Furthermore, embodiments of this application also disclose a computer-readable storage medium for storing a computer program; wherein, when the computer program is executed by a processor, it implements the aforementioned comprehensive measurement method for clouds and precipitation particles.

[0061] For the specific steps of this method, please refer to the relevant content disclosed in the foregoing embodiments, which will not be repeated here.

[0062] The various embodiments in this application are described in a progressive manner. Each embodiment focuses on the differences from other embodiments. For the same or similar parts between the various embodiments, refer to each other. As for the apparatus disclosed in the embodiments, since it corresponds to the method disclosed in the embodiments, the description is relatively simple. For the relevant parts, refer to the description in the method section.

[0063] 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.

[0064] The steps of the methods or algorithms described in conjunction with the embodiments disclosed herein can be implemented directly by hardware, a software module executed by a processor, or a combination of both. The software module can be located in random access memory (RAM), main memory, read-only memory (ROM), electrically programmable ROM, electrically erasable programmable ROM, registers, hard disk, removable disk, CD-ROM, or any other form of storage medium known in the art.

[0065] 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.

[0066] The above provides a detailed description of the cloud and precipitation particle integrated measurement method, apparatus, equipment, and storage medium provided in this application. Specific examples have been used to illustrate the principles and implementation methods of this application. The descriptions of the above embodiments are only for the purpose of helping to understand the method and core ideas of this application. At the same time, for those skilled in the art, there will be changes in the specific implementation methods and application scope based on the ideas of this application. Therefore, the content of this specification should not be construed as a limitation of this application.

Claims

1. A comprehensive measurement system for clouds and precipitation particles, characterized in that, It includes an optical unit, a detection unit, an acquisition and control unit, and a data processing unit. The detection unit includes a spectral detector and two imaging detectors, namely a cloud particle imaging detector and a precipitation particle imaging detector; wherein, The optical unit is used to form a laser light curtain through a single laser light source and a composite optical path assembly, and to use the overlapping area of ​​the laser light curtain and the target field of view as a single sampling space. The scattered light generated by particles passing through the sampling space, the shadow light transmitted by cloud particles, and the shadow light transmitted by precipitation particles are respectively guided to the spectral detector and the two imaging detectors. The target field of view is the overlapping field of view of the spectral detector and the two imaging detectors. The detection unit is used to respond to the acquisition trigger signal sent by the acquisition and control unit, and control the spectral detector and the two imaging detectors to perform acquisition operations synchronously; the spectral detector is used to acquire the scattered light and generate particle spectrum data, the cloud particle imaging detector is used to acquire the cloud particle transmitted shadow light and generate a one-dimensional cloud particle image, and the precipitation particle imaging detector is used to acquire the precipitation particle transmitted shadow light and generate a one-dimensional precipitation particle image. The data processing unit is used to determine the particle size spectrum based on the particle spectrum data, determine the two-dimensional cloud particle image based on the one-dimensional cloud particle image, determine the two-dimensional precipitation particle image based on the one-dimensional precipitation particle image, and perform fusion processing on the particle size spectrum, the two-dimensional cloud particle image and the two-dimensional precipitation particle image according to the multi-source fusion algorithm to obtain the comprehensive measurement results of cloud and precipitation particles.

2. The cloud and precipitation particle integrated measurement system according to claim 1, characterized in that, The composite optical path assembly includes an emission shaping optical path assembly and a beam-splitting receiving optical path assembly. The emission shaping optical path assembly includes a beam-shaping lens comprising a Powell prism and a cylindrical mirror in sequence. The beam-splitting receiving optical path assembly includes a scattered light receiving optical path placed in the forward small-angle scattering region of the laser light curtain and equipped with a preset receiving field stop; a cloud particle transmission light imaging optical path located directly behind the laser light curtain and equipped with a preset high-magnification imaging lens; and a precipitation particle transmission light imaging optical path located directly behind the laser light curtain and equipped with a preset low-magnification imaging lens. The beam shaping lens is used to homogenize and shape the initial laser beam to form the laser light curtain. The scattered light receiving optical path is used to guide the scattered light generated by the particles passing through the sampling space to the spectral detector through the preset receiving field aperture; The cloud particle transmission light imaging optical path is used to guide the cloud particle transmission shadow light generated by the particles passing through the sampling space to the cloud particle imaging detector through the preset high-magnification imaging lens. The precipitation particle transmission light imaging optical path is used to guide the precipitation particle transmission shadow light generated by the particles passing through the sampling space to the precipitation particle imaging detector through the preset low-magnification imaging lens.

3. The cloud and precipitation particle integrated measurement system according to claim 2, characterized in that, The beam-splitting receiving optical path assembly further includes a narrowband filter corresponding to the spectral detector; wherein... The narrowband filter is used to filter out background light from the scattered light.

4. The cloud and precipitation particle integrated measurement system according to claim 1, characterized in that, The acquisition and control unit includes a field-programmable gate array (FPGA) timing controller; the FPGA timing controller includes programmable logic devices and a delay calibration module; wherein... The programmable logic device is used to generate acquisition trigger signals for the spectral detector and the two imaging detectors; The delay calibration module is used to adjust the corresponding signal transmission time according to the transmission delay of each acquisition trigger signal, so that the acquisition time of the spectral detector and the two imaging detectors correspond to the same time reference.

5. The cloud and precipitation particle integrated measurement system according to claim 1, characterized in that, The acquisition and control unit is also used to determine the detection signal-to-noise ratio of the spectral detector, the cloud particle imaging detector and the precipitation particle imaging detector respectively based on the particle spectrum data, the one-dimensional cloud particle image and the one-dimensional precipitation particle image, and adjust the digital filtering information and trigger level threshold of the corresponding detector according to the detection signal-to-noise ratio; The acquisition and control unit is also used to determine the minimum cloud particle size based on the particle spectrum data and the one-dimensional cloud particle image. If the minimum cloud particle size is less than a first preset cloud particle size threshold, the gain of the spectral detector is increased according to a preset gain adjustment rule, and the sampling strategy of the cloud particle imaging detector is adjusted according to a preset sampling strategy adjustment rule. The acquisition and control unit is further configured to determine the maximum precipitation particle size based on the particle spectrum data and the one-dimensional precipitation particle image. If the maximum precipitation particle size is less than a first preset precipitation particle size threshold, the gain of the spectral detector is reduced according to the preset gain adjustment rule, and the sampling strategy of the precipitation particle imaging detector is adjusted according to the preset sampling strategy adjustment rule.

6. The cloud and precipitation particle integrated measurement system according to any one of claims 1 to 5, characterized in that, The data processing unit is used to perform iterative inversion processing on the particle spectrum data based on a nonlinear mapping model and using the forward Mie scattering principle and Kalman filtering to obtain a first particle size distribution, thereby constructing a particle spectrum distribution image. It then uses the slice maximum method and a deep learning segmentation network to process the one-dimensional cloud particle image and the one-dimensional precipitation particle image to obtain a second cloud particle size distribution and a second precipitation particle size distribution, thereby reconstructing the two-dimensional cloud particle image and the two-dimensional precipitation particle image. Finally, it performs weighted fusion of the particle spectrum distribution image, the two-dimensional cloud particle image, and the two-dimensional precipitation particle image to obtain a comprehensive measurement result of cloud and precipitation particles. The nonlinear mapping model is a model characterizing the functional relationship between scattered light power and particle size.

7. The cloud and precipitation particle integrated measurement system according to claim 6, characterized in that, The data processing unit is also used to compare the first particle size distribution with the second cloud particle size distribution to obtain a temporary cloud particle size, and when the temporary cloud particle size is greater than a second preset cloud particle size threshold, to adjust the learning parameters in the inversion process, and to use the new learning parameters to perform iterative inversion processing to obtain a new first particle size distribution in order to construct a new particle spectrum distribution image. The data processing unit is further configured to compare the first particle size distribution with the second precipitation particle size distribution to obtain the temporary precipitation particle size, and adjust the weighting weight of the weighted fusion process according to the magnitude of the cloud particle size deviation and the precipitation particle size deviation; the cloud particle size deviation is the deviation between the temporary cloud particle size and the second preset cloud particle size threshold; the precipitation particle size deviation is the deviation between the temporary precipitation particle size and the second preset precipitation particle size threshold.

8. A method for comprehensive measurement of clouds and precipitation particles, characterized in that, An application is made to a comprehensive cloud and precipitation particle measurement system, the system comprising an optical unit, a detection unit, an acquisition and control unit, and a data processing unit. The detection unit includes a spectral detector and two imaging detectors, namely a cloud particle imaging detector and a precipitation particle imaging detector. The method includes: A laser light curtain is formed by a single laser source and a composite optical path assembly in the optical unit. The overlapping area of ​​the laser light curtain and the target field of view is used as a single sampling space. The scattered light generated by particles passing through the sampling space, the shadow light transmitted by cloud particles, and the shadow light transmitted by precipitation particles are guided to the spectral detector and the two imaging detectors, respectively. The target field of view is the overlapping field of view of the spectral detector and the two imaging detectors. The detection unit, in response to the acquisition trigger signal sent by the acquisition and control unit, controls the spectral detector and the two imaging detectors to synchronously perform acquisition operations; the spectral detector is used to acquire the scattered light and generate particle spectrum data, the cloud particle imaging detector is used to acquire the cloud particle transmitted shadow light and generate a one-dimensional cloud particle image, and the precipitation particle imaging detector is used to acquire the precipitation particle transmitted shadow light and generate a one-dimensional precipitation particle image. The data processing unit determines the particle size spectrum based on the particle spectrum data, determines the two-dimensional cloud particle image based on the one-dimensional cloud particle image, and determines the two-dimensional precipitation particle image based on the one-dimensional precipitation particle image. The particle size spectrum, the two-dimensional cloud particle image, and the two-dimensional precipitation particle image are fused according to a multi-source fusion algorithm to obtain a comprehensive measurement result of cloud and precipitation particles.

9. An electronic device, characterized in that, include: Memory, used to store computer programs; A processor is configured to execute the computer program to implement the cloud and precipitation particle integrated measurement method as described in claim 8.

10. A computer-readable storage medium, characterized in that, Used to store computer programs; wherein, when the computer programs are executed by a processor, they implement the cloud and precipitation particle integrated measurement method as described in claim 8.

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