Airborne cloud drop spectrometer based on bright field illumination microscopic imaging

Abstract

An airborne cloud drop spectrometer based on bright field illumination microscopic imaging comprises an area light source, a microscope lens and an image sensor which are coaxially arranged in a shell, the area between the area light source and the microscope lens serves as a sampling area, and a hollow structure is arranged on the shell surrounding the sampling area and facing the windward side; the area light source, the microscope lens and the image sensor are respectively and electrically connected with the core board, and the shell is provided with a power interface and a communication interface which are electrically connected with the core board. According to the utility model, bright field microscopic amplification imaging and photoelectric detection technologies are utilized, the cloud droplet spectrum can be dynamically measured in real time, higher-precision identification and measurement are realized, the light source form is simple, the exposure time is short, the layout of the light path and the overall structure is compact, the power consumption is low, and higher integration is realized.

Description

Technical Field

[0001] This utility model relates to a cloud and fog droplet spectrometer, specifically an airborne cloud and fog droplet spectrometer based on bright-field illumination micro-imaging. Background Technology

[0002] Droplet spectrum refers to the distribution of the number of particles per unit volume as a function of particle size. In meteorology, droplet spectrum usually refers to cloud and fog droplet spectrum and precipitation droplet spectrum. The particle size and spectral distribution of cloud and fog droplets are key physical quantities for studying and defining the microphysical structure of clouds and fog. They are directly related to the intensity of clouds and fog, and direct measurement of cloud and fog droplet spectrum is a prerequisite for conducting cloud and fog microphysical research. Existing airborne cloud and fog droplet spectrum methods often use lasers as the light source, measuring the scattering distribution of cloud and fog droplet particles and indirectly estimating the cloud and fog droplet spectrum by comparing it with the scattering distribution data of standard spherical particles. This method suffers from problems such as low measurement accuracy, large equipment size, and high power consumption. Summary of the Invention

[0003] To address the aforementioned technical problems, this utility model provides an airborne cloud and fog droplet spectrometer based on bright field illumination micro-imaging, which can achieve real-time dynamic high-precision identification and measurement of cloud and fog droplet spectra through airborne installation.

[0004] According to this utility model, an airborne cloud and fog droplet spectrometer based on bright-field illumination micro-imaging is proposed, comprising: an airborne cloud and fog droplet spectrometer based on bright-field illumination micro-imaging, characterized in that it includes a surface light source, a microscope head, and an image sensor coaxially disposed within a housing, the area between the surface light source and the microscope head serving as a sampling area, and a hollow structure disposed on the housing surrounding the sampling area and facing the windward side; the surface light source, microscope head, and image sensor are electrically connected to a core board, and a power interface and a communication interface electrically connected to the core board are disposed on the housing.

[0005] Furthermore, the surface light source is an LED surface light source, and the exposure time of the LED surface light source is on the order of nanoseconds.

[0006] Furthermore, the LED surface light source is a white LED with a color temperature of 2700K.

[0007] Furthermore, the image sensor is either a CCD image sensor or a CMOS image sensor.

[0008] Compared with the prior art, the advantages of this utility model are as follows: by using bright-field microscopic magnification imaging and photoelectric detection technology, it is possible to measure the cloud and fog droplet spectrum in real time, with higher accuracy in identification and measurement. Moreover, the light source is simple, the exposure time is short, the optical path and overall structure are compact, the power consumption is low, and it has high integrability.

[0009] The above description is merely an overview of the technical solution of this utility model. In order to better understand the technical means of this utility model and to implement it in accordance with the contents of the specification, and to make the above and other objects, features and advantages of this utility model more apparent and understandable, preferred embodiments are described below in detail with reference to the accompanying drawings. Attached Figure Description

[0010] Figure 1 This is a schematic diagram of the structure of an airborne cloud and fog droplet spectrometer based on bright-field microscopy according to the present invention;

[0011] Figure Labels

[0012] Surface light source-1, sampling area-2, microscope lens-3, image sensor-4, core board-5, power interface-6, communication interface-7. Detailed Implementation

[0013] The technical solution of this utility model will now be clearly and completely described with reference to the accompanying drawings. Obviously, the described embodiments are only some, not all, of the embodiments of this utility model. Based on the embodiments of this utility model, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this utility model.

[0014] This invention provides an embodiment of an airborne cloud and fog droplet spectrometer based on bright-field illumination microscopic imaging. For example... Figure 1 As shown, it includes a surface light source 1, a microscope head 3, and an image sensor 4 coaxially arranged inside the housing. The area between the surface light source 1 and the microscope head 3 serves as a sampling area 2. A hollow structure is provided on the housing surrounding the sampling area 2 and facing the windward side. The surface light source 1, microscope head 3, and image sensor 4 are electrically connected to the core board 5, respectively. The housing is provided with a power interface 6 and a communication interface 7 that are electrically connected to the core board 5.

[0015] Specifically, a surface light source 1, a microscope head 3, and an image sensor 4 are coaxially arranged inside the housing. The light beam emitted by the surface light source 1 passes through the sampling area 2, is transmitted to the microscope head 3, received by the microscope head 3, and focused by the lens onto the front of the image sensor 4. After focusing, the beam is further transmitted and diverged, finally incident on the surface of the image sensor 4, making the image sensor 4 appear uniformly bright within the imaging field of view, i.e., a bright field of view. The area between the surface light source 1 and the microscope head 3 serves as the sampling area 2. A perforated structure is provided on the housing surrounding the sampling area 2 and facing the windward side, meaning that the sampling area 3 is exposed to the atmospheric environment, allowing cloud droplets and particles in the atmosphere to be... The light can enter the sampling area 3, thereby realizing the identification and measurement of cloud and fog droplet spectra; the core board 5 is electrically connected to the image sensor 4 and the microscope head 3, so that the microscope head 3 transmits the received light signal to the image sensor 4. The image sensor 4 converts the light signal into an electrical signal and transmits the electrical signal to the core board 5 for analysis and processing. The housing is provided with a power interface 6 and a communication interface 7 that are electrically connected to the core board 5, so that the core board 5 transmits the processing results to the terminal device for display via the communication interface 7. This utility model utilizes bright-field microscopic magnification imaging and photoelectric detection technology to dynamically measure cloud and fog droplet spectra in real time, and has higher accuracy in identification and measurement.

[0016] Furthermore, surface light source 1 is an LED surface light source with an exposure time in the nanosecond range. The LED surface light source is a white LED lamp with a color temperature of 2700K.

[0017] Specifically, the nanosecond-level exposure of the light source can effectively reduce particle trailing and significantly improve the accuracy of airborne dynamic measurement of cloud and fog particles.

[0018] Furthermore, the image sensor 4 can be either a CCD image sensor or a CMOS image sensor. Specifically, the image sensor 4 is used to receive the image formed by refracted and scattered light entering the microscope lens 3. The image sensor 4 converts the received light into an electrical signal and transmits it to the core board 5 for analysis and processing. After processing, the electrical signal can be used for the identification and measurement of cloud and fog droplet spectra.

[0019] Using the aforementioned airborne cloud droplet spectrometer, during operation, the LED surface light source emits a beam of light at a fixed angle. The beam enters the sampling area 2 at a certain angle and then enters the microscope head 3. The microscope head 3 images the diffuse image of the LED surface light source onto the image sensor 4, resulting in a uniform and bright field of view. When there are cloud particles to be detected in the sampling area 2, the particles block the beam emitted by the LED surface light source and refract and scatter the incident beam. The refracted and scattered light is received by the microscopic magnification imaging lens 4 and imaged on the surface of the image sensor 4. A clear outline image of the particles can be obtained against a bright background. The image sensor 4 converts the light signal into an electrical signal and transmits it to the core board 5 for analysis and processing. Through image recognition and analysis, the identification and measurement of cloud droplet spectra are achieved.

[0020] The characteristic of a bright field of view is that when there are no particles to be measured in the sampling area, the field of view is bright, which can significantly improve the resolution of the measurement of small particles. The bright state in the field of view is due to the microscope head 3 imaging the diffuse image of the LED surface light source onto the image sensor 4. This utility model is designed based on this principle. The bright field of view of this utility model means that the light from the LED surface light source enters the microscope head 3 and the microscope head 3 can receive the light. The cloud and fog particles block the emitted beam of the LED surface light source, and the cloud and fog particles refract and scatter the incident beam of the LED surface light source. The refracted and scattered light is received by the microscope head and imaged on the surface of the image sensor 4, so that a clear outline image of the cloud and fog particles can be obtained against a bright background. Moreover, the illumination method of the bright field of view can effectively reduce the exposure time of the light source, making the exposure time of the light source in the nanosecond range. Due to the airborne mode, the particles in the sampling area have a large moving speed. The nanosecond exposure of the bright field of view can effectively reduce particle tailing and significantly improve the accuracy of airborne dynamic measurement of cloud and fog particles. Therefore, this cloud and fog droplet spectrometer can improve the resolution of the measured cloud and fog droplet spectrum, thereby improving the measurement accuracy.

[0021] Since the number and diameter of cloud droplets in the air cannot be directly observed with the naked eye, a cloud droplet spectrometer is used to magnify the scattering signal of cloud droplets to an LED surface light source. This signal is then magnified by a microscope lens 3, and an image sensor 4 converts the magnified image into an electrical signal, which is transmitted in real time to the core board 5 for processing. This process yields the number and diameter of the cloud droplets, allowing for statistical analysis of the cloud droplet spectrum distribution. This cloud droplet spectrometer can monitor the number and diameter of cloud droplets in the air in real time, thereby enabling real-time identification of the cloud droplet spectrum.

[0022] This invention can also be used to monitor the droplet spectra of other types of particles similar to cloud and fog droplets.

[0023] Although embodiments of the present invention have been shown and described, it will be understood by those skilled in the art that various changes, modifications, substitutions and alterations can be made to these embodiments without departing from the principles and spirit of the present invention, the scope of which is defined by the appended claims and their equivalents.

Claims

1. An airborne cloud and fog droplet spectrometer based on bright-field illumination microscopic imaging, characterized in that, The device includes a surface light source, a microscope head, and an image sensor coaxially mounted within a housing. The area between the surface light source and the microscope head serves as a sampling area. A perforated structure is provided on the housing surrounding the sampling area and facing the windward side. The surface light source, microscope head, and image sensor are electrically connected to a core board, and a power interface and a communication interface electrically connected to the core board are provided on the housing.

2. The airborne cloud and fog droplet spectrometer based on bright-field illumination microscopic imaging according to claim 1, characterized in that, The surface light source is an LED surface light source, and the exposure time of the LED surface light source is in the nanosecond range.

3. An airborne cloud and fog droplet spectrometer based on bright-field illumination microscopic imaging according to claim 2, characterized in that, The LED surface light source is a white LED with a color temperature of 2700K.

4. The airborne cloud and fog droplet spectrometer based on bright-field illumination microscopic imaging according to claim 1, characterized in that, The image sensor can be either a CCD image sensor or a CMOS image sensor.

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