Aircraft remote detection method and system based on semiconductor laser radar

Abstract

The application discloses a kind of based on semiconductor laser radar aircraft remote detection method and system, it is related to semiconductor laser radar technical field.The method includes: constructing multiple coupling semiconductor laser emitter and distributed semiconductor laser radar system, based on remote detection task construction laser beam emission parameter intelligent adjustment model and emit laser beam, collect target reflected laser signal and extract target key feature information, to target key feature information is fused to generate the semiconductor laser radar remote detection information of aircraft and it is fused with sensor remote detection data to generate remote detection information, real-time monitoring the power usage state of distributed semiconductor laser radar system and adjusting power distribution situation.The present application can realize seamless coverage to 360 degrees around aircraft, eliminate the blind area problem of traditional single radar detection, and multiple coupling semiconductor laser emitter can provide high-power, high-stability laser emitter for semiconductor laser radar.

Description

Technical Field

[0001] This invention relates to the field of semiconductor lidar technology, and in particular to a method and system for remote detection of aircraft based on semiconductor lidar. Background Technology

[0002] In the field of long-range aircraft detection, traditional technologies are insufficient to meet the demands of today's complex flight environments and high-precision detection requirements. Conventional radar systems operate based on specific electromagnetic frequency bands, and their sensitivity to small, low-reflectivity targets is limited by wavelength and signal processing methods when conducting long-range detection. With advancements in semiconductor technology, semiconductor lidar has been gradually applied to long-range aircraft detection. However, at long distances, the laser signal is significantly attenuated due to absorption and scattering by molecules and aerosols in the atmosphere, resulting in a substantial reduction in detection range and accuracy. Furthermore, a single semiconductor lidar unit is limited by its optical field of view, making it difficult to achieve comprehensive coverage of a large airspace surrounding the aircraft, resulting in detection blind spots. Consequently, its detection accuracy and resolution fall short of the ever-increasing demand for precise perception of the aircraft's surrounding environment, and its overall detection performance is far from meeting expectations. Summary of the Invention

[0003] This invention provides a method for long-range detection of aircraft based on semiconductor lidar, comprising:

[0004] Step S1: The control center generates prohibited installation location information for the aircraft's semiconductor lidar based on the aircraft information; obtains the aircraft's semiconductor lidar layout information based on the prohibited installation location information and the remote detection mission; obtains the aircraft's semiconductor lidar mounting matching performance information based on the aircraft information, the remote detection mission, and the aircraft's semiconductor lidar layout information, and constructs a multi-coupled semiconductor laser emitter; constructs a distributed semiconductor lidar system based on the aircraft's semiconductor lidar layout information, mounting matching performance information, and the multi-coupled semiconductor laser emitter.

[0005] Step S2: The control center acquires remote detection target information, electromagnetic information of the remote detection area, and environmental information of the remote detection area based on the remote detection mission, and constructs an intelligent adjustment model for laser beam emission parameters. The laser beam emission parameters of the distributed semiconductor lidar system are adjusted in real time through the intelligent adjustment model and a laser beam is emitted to the remote detection area through a multi-coupled semiconductor laser emitter.

[0006] Step S3: The control center collects the target reflected laser signal through the quantum dot photodetector of the distributed semiconductor lidar system and converts it into the target reflected electrical signal. The target reflected electrical signal is converted into the target reflected digital signal through analog-to-digital conversion technology. The information processors of each semiconductor lidar in the distributed semiconductor lidar system extract the key feature information of the target and transmit it to the central information processing unit of the distributed semiconductor lidar system. The central information processing unit performs feature fusion on the key feature information of the target to generate the semiconductor lidar remote detection information of the aircraft.

[0007] Step S4: The control center acquires remote detection data from the remote detection sensors on the aircraft, and uses a remote detection fusion algorithm to fuse the remote detection information from the aircraft's semiconductor lidar and the remote detection data from the sensors to generate remote detection information.

[0008] Step S5: The control center monitors the power usage status of the distributed semiconductor lidar system in real time to obtain power consumption information, obtains the remote detection time of the aircraft according to the remote detection mission, and adjusts the power allocation according to the power consumption information and the remote detection time of the aircraft.

[0009] The above-described method for remote detection of aircraft based on semiconductor lidar includes the following steps: A control center generates prohibited installation location information for the aircraft's semiconductor lidar based on aircraft information; obtains the aircraft's semiconductor lidar layout information based on the prohibited installation location information and the remote detection mission; obtains the aircraft's semiconductor lidar mounting matching performance information based on the aircraft information, the remote detection mission, and the aircraft's semiconductor lidar layout information, and constructs a multi-coupled semiconductor laser emitter; and constructs a distributed semiconductor lidar system based on the aircraft's semiconductor lidar layout information, mounting matching performance information, and the multi-coupled semiconductor laser emitter, including the following sub-steps:

[0010] Step S11: The control center obtains the semiconductor lidar layout information and onboard matching performance information of the aircraft based on the aircraft information and remote detection mission;

[0011] Step S12: The control center constructs a multi-coupled semiconductor laser emitter based on the matching performance information of the aircraft's semiconductor lidar.

[0012] Step S13: The control center constructs a distributed semiconductor lidar system based on the aircraft's semiconductor lidar layout information, performance matching information, and multi-coupled semiconductor laser emitters.

[0013] The above-described method for remote detection of aircraft based on semiconductor lidar includes the following sub-steps: The control center acquires information about the remote detection target, electromagnetic information of the remote detection area, and environmental information of the remote detection area based on the remote detection mission, and constructs an intelligent adjustment model for laser beam emission parameters. The laser beam emission parameters of the distributed semiconductor lidar system are adjusted in real time using this intelligent adjustment model, and a laser beam is emitted into the remote detection area via a multi-coupled semiconductor laser emitter.

[0014] Step S21: The control center obtains remote detection target information, electromagnetic information of the remote detection area, and environmental information of the remote detection area based on the remote detection mission;

[0015] Step S22: The control center constructs an intelligent adjustment model for laser beam emission parameters based on remote detection target information, electromagnetic information of the remote detection area, environmental information of the remote detection area, and the distributed semiconductor lidar system.

[0016] Step S23: The control center adjusts the laser beam emission parameters of the distributed semiconductor lidar system in real time through the intelligent adjustment model of laser beam emission parameters, and emits laser beams to the remote detection area in real time through the multi-coupled semiconductor laser emitters of each semiconductor lidar in the distributed semiconductor lidar system.

[0017] The aforementioned method for long-range aircraft detection based on semiconductor lidar involves the following steps: A control center collects reflected laser signals from the target using quantum dot photodetectors in a distributed semiconductor lidar system and converts them into reflected electrical signals. Analog-to-digital conversion (ADC) is then used to convert these electrical signals into digital signals. Information processors in each semiconductor lidar unit within the distributed system extract key target feature information and transmit it to the central information processing unit. The central information processing unit performs feature fusion on this key feature information to generate remote detection information for the aircraft using semiconductor lidar.

[0018] Step S31: The control center collects the target reflected laser signal through the quantum dot photodetectors of each semiconductor lidar in the distributed semiconductor lidar system and converts it into the target reflected digital signal.

[0019] Step S32: The control center extracts key feature information of the target based on the target reflected digital signal through the information processors of each semiconductor lidar in the distributed semiconductor lidar system and transmits it to the central information processing unit of the distributed semiconductor lidar system.

[0020] Step S33: The control center performs feature fusion through the central information processing unit of the distributed semiconductor lidar system based on the key feature information of the target to generate remote detection information of the aircraft's semiconductor lidar.

[0021] The above-described method for remote detection of aircraft based on semiconductor lidar includes the following sub-steps: The control center acquires remote detection data from the remote detection sensors mounted on the aircraft, and then fuses the remote detection information from the aircraft's semiconductor lidar and the sensor data using a remote detection fusion algorithm to generate remote detection information.

[0022] Step S41: The control center acquires remote detection data from the remote detection sensors carried by the aircraft.

[0023] Step S42: The control center uses a remote detection fusion algorithm to fuse the remote detection information from the aircraft's semiconductor lidar and the remote detection data from the sensors to generate remote detection information.

[0024] The above-described method for remote detection of aircraft based on semiconductor lidar includes the following sub-steps: The control center monitors the power usage status of the distributed semiconductor lidar system in real time to obtain power consumption information; the remote detection time of the aircraft is obtained according to the remote detection mission; and the power allocation is adjusted based on the power consumption information and the remote detection time of the aircraft.

[0025] Step S51: The control center monitors the power usage status of the distributed semiconductor lidar system in real time and obtains power consumption information;

[0026] Step S52: The control center adjusts the power distribution based on the remote detection time of the aircraft obtained from the remote detection mission and the power consumption information.

[0027] The present invention also provides a remote detection system for aircraft based on semiconductor lidar, comprising:

[0028] The distributed semiconductor lidar system construction module generates prohibited installation location information for the aircraft's semiconductor lidar based on aircraft information; obtains the aircraft's semiconductor lidar layout information based on the prohibited installation location information and remote detection mission; obtains the aircraft's semiconductor lidar mounting matching performance information based on the aircraft information, remote detection mission, and aircraft's semiconductor lidar layout information, and constructs a multi-coupled semiconductor laser emitter; and constructs a distributed semiconductor lidar system based on the aircraft's semiconductor lidar layout information, mounting matching performance information, and multi-coupled semiconductor laser emitter.

[0029] The laser beam adjustment and emission module acquires information about the remote detection target, electromagnetic information of the remote detection area, and environmental information of the remote detection area based on the remote detection mission, and constructs an intelligent adjustment model for laser beam emission parameters. The intelligent adjustment model for laser beam emission parameters adjusts the laser beam emission parameters of the distributed semiconductor lidar system in real time and emits a laser beam to the remote detection area through a multi-coupled semiconductor laser emitter.

[0030] The reflection signal collection and processing module collects the target reflected laser signal through the quantum dot photodetector of the distributed semiconductor lidar system and converts it into the target reflected electrical signal. It then converts the target reflected electrical signal into the target reflected digital signal through analog-to-digital conversion technology. The information processors of each semiconductor lidar in the distributed semiconductor lidar system extract the key feature information of the target and transmit it to the central information processing unit of the distributed semiconductor lidar system. The central information processing unit performs feature fusion on the key feature information of the target to generate the semiconductor lidar remote detection information of the aircraft.

[0031] The remote detection information generation module acquires remote detection data from the remote detection sensors on the aircraft and uses a remote detection fusion algorithm to fuse the remote detection information from the aircraft's semiconductor lidar and the remote detection data from the sensors to generate remote detection information.

[0032] The power monitoring and adjustment module monitors the power usage status of the distributed semiconductor lidar system in real time to obtain power consumption information. Based on the remote detection mission, it obtains the remote detection time of the aircraft and adjusts the power distribution according to the power consumption information and the remote detection time of the aircraft.

[0033] As described above, in a remote aircraft detection system based on semiconductor lidar, the distributed semiconductor lidar system construction module specifically includes:

[0034] The layout information and payload matching performance information acquisition submodule acquires the semiconductor lidar layout information and payload matching performance information of the aircraft based on aircraft information and remote detection missions;

[0035] A multi-coupled semiconductor laser emitter construction submodule is used to construct a multi-coupled semiconductor laser emitter based on the matching performance information of the aircraft's semiconductor lidar.

[0036] The distributed semiconductor lidar system construction submodule constructs a distributed semiconductor lidar system based on the aircraft's semiconductor lidar layout information, performance matching information, and multi-coupled semiconductor laser emitters.

[0037] As described above, in a remote detection system for aircraft based on semiconductor lidar, the laser beam adjustment and emission module specifically includes:

[0038] The remote detection target and area information acquisition submodule acquires remote detection target information, remote detection area electromagnetic information, and remote detection area environmental information based on the remote detection mission.

[0039] The intelligent adjustment model construction submodule for laser beam emission parameters constructs an intelligent adjustment model for laser beam emission parameters based on remote detection target information, electromagnetic information of the remote detection area, environmental information of the remote detection area, and the distributed semiconductor lidar system.

[0040] The laser beam emission submodule adjusts the laser beam emission parameters of the distributed semiconductor lidar system in real time through an intelligent laser beam emission parameter adjustment model, and emits laser beams to the remote detection area in real time through the multi-coupled semiconductor laser emitters of each semiconductor lidar in the distributed semiconductor lidar system.

[0041] As described above, in a remote detection system for aircraft based on semiconductor lidar, the reflected signal collection and processing module specifically includes:

[0042] The reflection signal collection submodule collects the target reflected laser signal through the quantum dot photodetectors of each semiconductor lidar in the distributed semiconductor lidar system and converts it into the target reflected digital signal;

[0043] The target key feature information extraction and transmission submodule extracts the target key feature information from the target reflected digital signal through the information processors of each semiconductor lidar in the distributed semiconductor lidar system and transmits it to the central information processing unit of the distributed semiconductor lidar system.

[0044] The semiconductor lidar remote detection information generation submodule generates remote detection information for the aircraft by performing feature fusion through the central information processing unit of the distributed semiconductor lidar system based on the key feature information of the target.

[0045] As described above, in a remote detection system for aircraft based on semiconductor lidar, the remote detection information generation module specifically includes:

[0046] The remote sensor data acquisition submodule acquires remote sensor data based on the remote sensor onboard the aircraft.

[0047] The remote detection information generation submodule uses a remote detection fusion algorithm to fuse remote detection information from the aircraft's semiconductor lidar and remote detection data from sensors to generate remote detection information.

[0048] As described above, in a remote detection system for aircraft based on semiconductor lidar, the power monitoring and adjustment module specifically includes:

[0049] The power consumption information acquisition submodule monitors the power usage status of the distributed semiconductor lidar system in real time and obtains power consumption information.

[0050] The power distribution adjustment submodule adjusts the power distribution based on the remote detection time of the aircraft obtained from the remote detection mission and the power consumption information.

[0051] The beneficial effects achieved by this invention are as follows: By meticulously designing the spatial layout of each radar node in a distributed semiconductor lidar system, and utilizing its flexible field-of-view combination characteristics, this invention achieves seamless coverage of a 360° wide field of view around the aircraft, eliminating the blind spot problem of traditional single-radar detection. Each node works collaboratively to detect targets from different directions. The multi-coupled semiconductor laser emitter provides each semiconductor lidar node with a high-power, high-stability laser source, emitting a concentrated, highly directional laser beam to accurately determine the three-dimensional coordinates of remotely detected targets with centimeter-level accuracy and minimal error control. Compared to traditional radar, at the same detection distance, the detection accuracy is improved several times, providing extremely precise data support for aircraft to complete long-range detection missions.

[0052] When some semiconductor lidar nodes in a distributed semiconductor lidar system fail due to external interference, equipment malfunctions, or other reasons, the system automatically adjusts its detection strategy based on an adaptive topology reconstruction algorithm. The remaining normally functioning nodes are then reassigned detection tasks to maintain basic detection capabilities for critical areas. Attached Figure Description

[0053] 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 some embodiments recorded in the present invention. For those skilled in the art, other drawings can be obtained based on these drawings.

[0054] Figure 1 This is a flowchart of a remote detection method for aircraft based on semiconductor lidar provided in Embodiment 1 of this application;

[0055] Figure 2 This is a schematic diagram of a remote detection system for aircraft based on semiconductor lidar provided in Embodiment 2 of this application. Detailed Implementation

[0056] 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, not all, of the embodiments of the present invention. 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.

[0057] Example 1

[0058] like Figure 1 As shown, Embodiment 1 of this application provides a method for remote detection of aircraft based on semiconductor lidar, the method comprising the following steps:

[0059] Step S1: The control center generates prohibited installation location information for the aircraft's semiconductor lidar based on the aircraft information; obtains the aircraft's semiconductor lidar layout information based on the prohibited installation location information and the remote detection mission; obtains the aircraft's semiconductor lidar mounting matching performance information based on the aircraft information, the remote detection mission, and the aircraft's semiconductor lidar layout information, and constructs a multi-coupled semiconductor laser emitter; constructs a distributed semiconductor lidar system based on the aircraft's semiconductor lidar layout information, mounting matching performance information, and the multi-coupled semiconductor laser emitter.

[0060] Furthermore, the control center generates prohibited installation location information for the aircraft's semiconductor lidar based on the aircraft information, and obtains the aircraft's semiconductor lidar layout information based on the prohibited installation location information and the remote detection mission; based on the aircraft information, the remote detection mission, and the aircraft's semiconductor lidar layout information, it obtains the aircraft's semiconductor lidar mounting matching performance information and constructs a multi-coupled semiconductor laser emitter; constructing a distributed semiconductor lidar system based on the aircraft's semiconductor lidar layout information, mounting matching performance information, and multi-coupled semiconductor laser emitter includes the following sub-steps:

[0061] Step S11: The control center obtains the semiconductor lidar layout information and onboard matching performance information of the aircraft based on the aircraft information and remote detection mission;

[0062] Specifically, aircraft information includes, but is not limited to, aircraft performance information, aircraft type and structural information, and information on the electronic equipment carried by the aircraft. Based on the aircraft type and structural information and the information on the electronic equipment carried by the aircraft, information on the location of airflow interference and electromagnetic interference on the aircraft is obtained, along with information on prohibited installation locations that could interfere with the aircraft's flight mission and the operation of the semiconductor lidar. Based on this prohibited installation location information and the long-range detection mission, the layout of the semiconductor lidar is planned, obtaining semiconductor lidar layout information. This enables the semiconductor lidar to achieve omnidirectional, blind-spot-free detection and minimizes the impact of airflow interference and electromagnetic interference from the aircraft's electronic equipment.

[0063] Based on the aircraft's performance information, long-range detection mission, and semiconductor lidar layout information, the matching performance information of the aircraft's semiconductor lidar is obtained. The matching performance of the aircraft's semiconductor lidar includes, but is not limited to, the semiconductor lidar's mode, wavelength, transmission power, transmission frequency, pulse width, receiving sensitivity, size, weight, and power consumption.

[0064] Step S12: The control center constructs a multi-coupled semiconductor laser emitter based on the matching performance information of the aircraft's semiconductor lidar.

[0065] Specifically, a multi-coupled semiconductor laser emitter couples multiple semiconductor lasers using coupling technology, thereby improving the quality of the laser beam and increasing and stabilizing the output power.

[0066] Based on the matching performance information of the aircraft's semiconductor lidar, a preset coupling matching value for the multi-coupled semiconductor laser emitter is set, and the coupling matching formula for the multi-coupled semiconductor laser emitter is used. Calculate the coupling matching value of the semiconductor laser, where, For coupling matching value, The number of semiconductor lasers participating in a multi-coupled semiconductor laser emitter. Weights for pattern matching Matching weights to the model field diameter. For mode polarization matching weights, , For the first The mode field diameter of a semiconductor laser For the diameter of the ideal mode field, This represents the maximum permissible deviation of the model field diameter. For the first The mode polarization value of a semiconductor laser For ideal polarization values, For wavelength matching weights, For the first The wavelength of a semiconductor laser The center wavelength, For the maximum allowable wavelength deviation, For power matching weights, for The maximum power of a semiconductor laser. for The minimum power of a semiconductor laser. For the first The power of a semiconductor laser This represents the maximum permissible power non-uniformity.

[0067] A multi-coupled semiconductor laser emitter is constructed by coupling multiple semiconductor lasers with a coupling matching value greater than a preset coupling matching value using coupling technology.

[0068] Step S13: The control center constructs a distributed semiconductor lidar system based on the aircraft's semiconductor lidar layout information, performance matching information, and multi-coupled semiconductor laser emitters;

[0069] Specifically, based on the performance information of the aircraft's semiconductor lidar and the multi-coupled semiconductor laser emitter, a matching semiconductor lidar component is selected and a semiconductor lidar is constructed. The semiconductor lidar includes, but is not limited to, multi-coupled semiconductor laser emitters, quantum dot photodetectors, and information processors.

[0070] Based on the layout information of semiconductor lidar, semiconductor lidar is installed on the aircraft and each semiconductor lidar is equipped with a data communication interface to connect with the central information processing unit, thus constructing a distributed semiconductor lidar system. The distributed semiconductor lidar system includes multiple semiconductor lidars, a central information processing unit, and a power system.

[0071] Step S2: The control center acquires remote detection target information, electromagnetic information of the remote detection area, and environmental information of the remote detection area based on the remote detection mission, and constructs an intelligent adjustment model for laser beam emission parameters. The laser beam emission parameters of the distributed semiconductor lidar system are adjusted in real time through the intelligent adjustment model and a laser beam is emitted to the remote detection area through a multi-coupled semiconductor laser emitter.

[0072] Furthermore, the control center acquires information about the remote detection target, electromagnetic information of the remote detection area, and environmental information of the remote detection area based on the remote detection mission, and constructs an intelligent adjustment model for laser beam emission parameters. This intelligent adjustment model is used to adjust the laser beam emission parameters of the distributed semiconductor lidar system in real time, and the laser beam is emitted into the remote detection area via a multi-coupled semiconductor laser emitter. The process includes the following sub-steps:

[0073] Step S21: The control center obtains remote detection target information, electromagnetic information of the remote detection area, and environmental information of the remote detection area based on the remote detection mission;

[0074] Specifically, based on the remote detection mission, regional positioning information and remote detection target information are obtained; electromagnetic information of the remote detection area is obtained through electromagnetic spectrum monitoring technology based on the regional positioning information; geographical environmental information of the remote detection area is obtained through positioning technology based on the regional positioning information; meteorological environmental information and atmospheric environmental information of the remote detection area are obtained through remote sensing technology based on the regional positioning information. The environmental information of the remote detection area includes, but is not limited to, geographical environmental information, meteorological environmental information, and atmospheric environmental information.

[0075] Step S22: The control center constructs an intelligent adjustment model for laser beam emission parameters based on remote detection target information, electromagnetic information of the remote detection area, environmental information of the remote detection area, and the distributed semiconductor lidar system.

[0076] Specifically, based on the remote detection target information, the electromagnetic information of the remote detection area, and the environmental information of the remote detection area, a remote detection target impact dataset, a remote detection area electromagnetic information impact dataset, and a remote detection area environmental impact dataset are constructed respectively. A laser beam emission factor dataset is constructed based on the distributed semiconductor lidar system. Based on the above datasets, an algorithm for adjusting laser beam emission parameters is then implemented. Calculate the laser beam emission adjustment parameters, where, Adjusting the parameter set for laser beam emission. This represents the number of semiconductor lidar units in a distributed semiconductor lidar system. For the first Laser beam emission influence coefficient of a semiconductor lidar For the first The number of laser beam emission factors in a semiconductor lidar. For the first The first semiconductor lidar The initial emission value of the laser beam emission factor. The launch adjustment factor is used to adjust the impact of remote detection targets. The number of influencing parameters in the dataset for remotely detected targets. For the first The impact value of a remotely detected target. For the first The first semiconductor lidar The emission factor of a laser beam is affected by the remote detection target, which influences the emission adjustment factor. The emission adjustment factor is used to determine the electromagnetic influence in the remote detection area. The number of influence parameters in the electromagnetic influence dataset for remote detection areas. For the first Electromagnetic influence values ​​for a remotely detected area. For the first The first semiconductor lidar Electromagnetic influence emission adjustment factor in the remote detection area of ​​a laser beam emission factor The emission adjustment factor is used to adjust the emission based on the environmental impact of the remote detection area. The number of impact parameters in the remote detection area environmental impact dataset. For the first Environmental impact values ​​for remotely detected areas. For the first The first semiconductor lidar The emission adjustment factor is influenced by the environmental factors in the remote detection area of ​​the laser beam emission factor.

[0077] Based on remote detection target information, electromagnetic information of the remote detection area, environmental information of the remote detection area, and a set of intelligent adjustment parameters for laser beam emission, training, testing, and validation datasets are constructed. A training model is built using the training dataset through deep learning technology. The generalization ability of the training model is evaluated using the testing dataset. The training model is adjusted and optimized using the validation dataset. Through this training process, an intelligent adjustment model for laser beam emission parameters is constructed. This model can output laser beam emission parameters in real time based on the input remote detection target information, electromagnetic information of the remote detection area, and environmental information of the remote detection area.

[0078] Step S23: The control center adjusts the laser beam emission parameters of the distributed semiconductor lidar system in real time through the intelligent adjustment model of laser beam emission parameters, and emits laser beams to the remote detection area in real time through the multi-coupled semiconductor laser emitters of each semiconductor lidar in the distributed semiconductor lidar system.

[0079] Specifically, the flight path of the aircraft is obtained through positioning technology. Based on the flight path, electromagnetic and environmental information within the flight area during the flight process is obtained in real time. The above information, combined with remote detection target information, is input into the laser beam emission parameter intelligent adjustment model in real time to obtain the laser beam emission parameters of the distributed semiconductor lidar system. The multi-coupled semiconductor laser emitter emits a laser beam to the remote detection area in real time according to the laser beam emission parameters.

[0080] Step S3: The control center collects the target reflected laser signal through the quantum dot photodetector of the distributed semiconductor lidar system and converts it into the target reflected electrical signal. The target reflected electrical signal is converted into the target reflected digital signal through analog-to-digital conversion technology. The information processors of each semiconductor lidar in the distributed semiconductor lidar system extract the key feature information of the target and transmit it to the central information processing unit of the distributed semiconductor lidar system. The central information processing unit performs feature fusion on the key feature information of the target to generate the semiconductor lidar remote detection information of the aircraft.

[0081] Furthermore, the control center collects the target reflected laser signal through the quantum dot photodetector of the distributed semiconductor lidar system and converts it into a target reflected electrical signal. Analog-to-digital conversion technology is then used to convert the target reflected electrical signal into a target reflected digital signal. The information processors of each semiconductor lidar in the distributed semiconductor lidar system extract key target feature information and transmit it to the central information processing unit of the distributed semiconductor lidar system. The central information processing unit performs feature fusion on the key target feature information to generate the aircraft's semiconductor lidar remote detection information, including the following sub-steps:

[0082] Step S31: The control center collects the target reflected laser signal through the quantum dot photodetectors of each semiconductor lidar in the distributed semiconductor lidar system and converts it into the target reflected digital signal.

[0083] Specifically, in a distributed semiconductor lidar system, the laser beam emitted by a multi-coupled semiconductor laser emitter encounters the target object and is reflected back by a quantum dot photodetector. The collected target reflected light signal is converted into a target reflected electrical signal using photoelectric effect technology. The target reflected electrical signal is amplified using electrical signal amplification technology. Finally, the amplified target reflected electrical signal is converted into a target reflected digital signal and noise is removed using analog-to-digital conversion technology and noise reduction filtering technology.

[0084] Step S32: The control center extracts key feature information of the target based on the target reflected digital signal through the information processors of each semiconductor lidar in the distributed semiconductor lidar system and transmits it to the central information processing unit of the distributed semiconductor lidar system.

[0085] Specifically, in a distributed semiconductor lidar system, the information processors of each semiconductor lidar analyze the target reflection digital signal and extract the key target feature information of the remotely detected target based on the remotely detected target information, and transmit it to the central information processing unit of the distributed semiconductor lidar system through a data communication interface.

[0086] Step S33: The control center performs feature fusion through the central information processing unit of the distributed semiconductor lidar system based on the key feature information of the target to generate the semiconductor lidar remote detection information of the aircraft.

[0087] Specifically, the central information processing unit of the distributed semiconductor lidar system constructs a remote detection target feature set based on the key target feature information transmitted by each semiconductor lidar. ,in, For remote detection target feature set, For the first A feature set of a remotely detected target The number of remotely detected targets. For the first The first feature set of the remote detection target One characteristic, For the first The number of features in the feature set of a remotely detected target is determined by the feature information fusion formula. The feature sets of remotely detected targets are fused, where... For the first Fusion feature information of remote detection targets, For the first The number of features of a remotely detected target For the first The first remote detection target The weight coefficients of each feature, For the first The first remote detection target Features. Based on the fusion features of remotely detected targets. Construct a feature fusion set for remote detection targets, and generate remote detection information for the aircraft's semiconductor lidar based on the feature fusion set.

[0088] Step S4: The control center acquires remote detection data from the remote detection sensors on the aircraft, and uses a remote detection fusion algorithm to fuse the remote detection information from the aircraft's semiconductor lidar and the remote detection data from the sensors to generate remote detection information.

[0089] Furthermore, the control center acquires remote detection data from the remote detection sensors on board the aircraft, and uses a remote detection fusion algorithm to fuse the remote detection information from the aircraft's semiconductor lidar and the remote detection data from the sensors to generate remote detection information, including the following sub-steps:

[0090] Step S41: The control center acquires remote detection data from the remote detection sensors carried by the aircraft.

[0091] Specifically, the remote detection sensors carried by the aircraft include, but are not limited to, infrared sensors, ultraviolet sensors, and multispectral cameras; remote detection data is acquired through these sensors.

[0092] Step S42: The control center uses a remote detection fusion algorithm to fuse the remote detection information from the aircraft's semiconductor lidar and the remote detection data from the sensors to generate remote detection information.

[0093] Specifically, through remote detection fusion algorithms The system fuses remote detection information from the aircraft's semiconductor lidar with remote detection data from sensors. For remote detection and fusion of information sets, The number of remotely detected targets. These are the weighting coefficients for the remote detection information of semiconductor lidar. For the first The fusion feature information of semiconductor lidar for remote detection of multiple targets The weighting coefficients for remote detection information from infrared sensors. For the first Remote detection information from infrared sensors of a remotely detected target. The weighting coefficients for remote detection information from ultraviolet sensors. For the first Remote detection information from ultraviolet sensors of remotely detected targets. These are the weighting coefficients for the remote detection information from the multispectral camera. For the first Multispectral camera remote detection information of a remotely detected target. Based on the remote detection fusion information set. Generate remote detection information.

[0094] Step S5: The control center monitors the power usage status of the distributed semiconductor lidar system in real time to obtain power consumption information, obtains the remote detection time of the aircraft according to the remote detection mission, and adjusts the power allocation according to the power consumption information and the remote detection time of the aircraft.

[0095] Furthermore, the control center monitors the power usage status of the distributed semiconductor lidar system in real time to obtain power consumption information, acquires the remote detection time of the aircraft based on the remote detection mission, and adjusts the power allocation according to the power consumption information and the remote detection time of the aircraft, including the following sub-steps:

[0096] Step S51: The control center monitors the power usage status of the distributed semiconductor lidar system in real time and obtains power consumption information;

[0097] Specifically, the power consumption of the distributed semiconductor lidar system is monitored in real time based on the working status of each component in the distributed semiconductor lidar system, and power consumption information is obtained.

[0098] Step S52: The control center adjusts the power distribution based on the remote detection time of the aircraft obtained from the remote detection mission and the power consumption information.

[0099] Specifically, the remaining power is obtained based on power consumption information, the remote detection time of the aircraft is obtained based on the remote detection mission, the remaining remote detection time of the aircraft is obtained based on the remote detection time of the aircraft, and the power distribution is adjusted based on the remaining power and the remaining remote detection time of the aircraft so that the remaining power can complete the remote detection mission.

[0100] Example 2

[0101] like Figure 2 As shown, Embodiment 2 of this application provides a remote detection system for aircraft based on semiconductor lidar, comprising:

[0102] The distributed semiconductor lidar system construction module 21 generates prohibited installation location information for the aircraft's semiconductor lidar based on aircraft information; obtains the aircraft's semiconductor lidar layout information based on the prohibited installation location information and the remote detection mission; obtains the aircraft's semiconductor lidar mounting matching performance information based on the aircraft information, the remote detection mission, and the aircraft's semiconductor lidar layout information, and constructs a multi-coupled semiconductor laser emitter; and constructs a distributed semiconductor lidar system based on the aircraft's semiconductor lidar layout information, mounting matching performance information, and multi-coupled semiconductor laser emitter.

[0103] Furthermore, the distributed semiconductor lidar system construction module 21 includes the following sub-modules:

[0104] The layout information and payload matching performance information acquisition submodule acquires the semiconductor lidar layout information and payload matching performance information of the aircraft based on aircraft information and remote detection missions;

[0105] Specifically, aircraft information includes, but is not limited to, aircraft performance information, aircraft type and structural information, and information on the electronic equipment carried by the aircraft. Based on the aircraft type and structural information and the information on the electronic equipment carried by the aircraft, information on the location of airflow interference and electromagnetic interference on the aircraft is obtained, along with information on prohibited installation locations that could interfere with the aircraft's flight mission and the operation of the semiconductor lidar. Based on this prohibited installation location information and the long-range detection mission, the layout of the semiconductor lidar is planned, obtaining semiconductor lidar layout information. This enables the semiconductor lidar to achieve omnidirectional, blind-spot-free detection and minimizes the impact of airflow interference and electromagnetic interference from the aircraft's electronic equipment.

[0106] Based on the aircraft's performance information, long-range detection mission, and semiconductor lidar layout information, the matching performance information of the aircraft's semiconductor lidar is obtained. The matching performance of the aircraft's semiconductor lidar includes, but is not limited to, the semiconductor lidar's mode, wavelength, transmission power, transmission frequency, pulse width, receiving sensitivity, size, weight, and power consumption.

[0107] A multi-coupled semiconductor laser emitter construction submodule is used to construct a multi-coupled semiconductor laser emitter based on the matching performance information of the aircraft's semiconductor lidar.

[0108] Specifically, a multi-coupled semiconductor laser emitter couples multiple semiconductor lasers using coupling technology, thereby improving the quality of the laser beam and increasing and stabilizing the output power.

[0109] Based on the matching performance information of the aircraft's semiconductor lidar, a preset coupling matching value for the multi-coupled semiconductor laser emitter is set, and the coupling matching formula for the multi-coupled semiconductor laser emitter is used. Calculate the coupling matching value of the semiconductor laser, where, For coupling matching value, The number of semiconductor lasers participating in a multi-coupled semiconductor laser emitter. Weights for pattern matching Matching weights to the model field diameter. For mode polarization matching weights, , For the first The mode field diameter of a semiconductor laser For the diameter of the ideal mode field, This represents the maximum permissible deviation of the model field diameter. For the first The mode polarization value of a semiconductor laser For ideal polarization values, For wavelength matching weights, For the first The wavelength of a semiconductor laser The center wavelength, For the maximum allowable wavelength deviation, For power matching weights, for The maximum power of a semiconductor laser. for The minimum power of a semiconductor laser. For the first The power of a semiconductor laser This represents the maximum permissible power non-uniformity.

[0110] A multi-coupled semiconductor laser emitter is constructed by coupling multiple semiconductor lasers with a coupling matching value greater than a preset coupling matching value using coupling technology.

[0111] The distributed semiconductor lidar system construction submodule constructs a distributed semiconductor lidar system based on the aircraft's semiconductor lidar layout information, performance matching information, and multi-coupled semiconductor laser emitters.

[0112] Specifically, based on the performance information of the aircraft's semiconductor lidar and the multi-coupled semiconductor laser emitter, a matching semiconductor lidar component is selected and a semiconductor lidar is constructed. The semiconductor lidar includes, but is not limited to, multi-coupled semiconductor laser emitters, quantum dot photodetectors, and information processors.

[0113] Based on the layout information of semiconductor lidar, semiconductor lidar is installed on the aircraft and each semiconductor lidar is equipped with a data communication interface to connect with the central information processing unit, thus constructing a distributed semiconductor lidar system. The distributed semiconductor lidar system includes multiple semiconductor lidars, a central information processing unit, and a power system.

[0114] The laser beam adjustment and emission module 22 acquires information about the remote detection target, electromagnetic information of the remote detection area, and environmental information of the remote detection area based on the remote detection mission, and constructs an intelligent adjustment model for laser beam emission parameters. It then adjusts the laser beam emission parameters of the distributed semiconductor lidar system in real time through the intelligent adjustment model and emits a laser beam to the remote detection area through a multi-coupled semiconductor laser emitter.

[0115] Furthermore, the laser beam adjustment and emission module 22 includes the following sub-modules:

[0116] The remote detection target and area information acquisition submodule acquires remote detection target information, remote detection area electromagnetic information, and remote detection area environmental information based on the remote detection mission.

[0117] Specifically, based on the remote detection mission, regional positioning information and remote detection target information are obtained; electromagnetic information of the remote detection area is obtained through electromagnetic spectrum monitoring technology based on the regional positioning information; geographical environmental information of the remote detection area is obtained through positioning technology based on the regional positioning information; meteorological environmental information and atmospheric environmental information of the remote detection area are obtained through remote sensing technology based on the regional positioning information. The environmental information of the remote detection area includes, but is not limited to, geographical environmental information, meteorological environmental information, and atmospheric environmental information.

[0118] The intelligent adjustment model construction submodule for laser beam emission parameters constructs an intelligent adjustment model for laser beam emission parameters based on remote detection target information, electromagnetic information of the remote detection area, environmental information of the remote detection area, and the distributed semiconductor lidar system.

[0119] Specifically, based on the remote detection target information, the electromagnetic information of the remote detection area, and the environmental information of the remote detection area, a remote detection target impact dataset, a remote detection area electromagnetic information impact dataset, and a remote detection area environmental impact dataset are constructed respectively. A laser beam emission factor dataset is constructed based on the distributed semiconductor lidar system. Based on the above datasets, an algorithm for adjusting laser beam emission parameters is then implemented. Calculate the laser beam emission adjustment parameters, where, Adjusting the parameter set for laser beam emission. This represents the number of semiconductor lidar units in a distributed semiconductor lidar system. For the first Laser beam emission influence coefficient of a semiconductor lidar For the first The number of laser beam emission factors in a semiconductor lidar. For the first The first semiconductor lidar The initial emission value of the laser beam emission factor. The launch adjustment factor is used to adjust the impact of remote detection targets. The number of influencing parameters in the dataset for remotely detected targets. For the first The impact value of a remotely detected target. For the first The first semiconductor lidar The emission factor of a laser beam is affected by the remote detection target, which influences the emission adjustment factor. The emission adjustment factor is used to determine the electromagnetic influence in the remote detection area. The number of influence parameters in the electromagnetic influence dataset for remote detection areas. For the first Electromagnetic influence values ​​for a remotely detected area. For the first The first semiconductor lidar Electromagnetic influence emission adjustment factor in the remote detection area of ​​a laser beam emission factor The emission adjustment factor is used to adjust the emission based on the environmental impact of the remote detection area. The number of impact parameters in the remote detection area environmental impact dataset. For the first Environmental impact values ​​for remotely detected areas. For the first The first semiconductor lidar The emission adjustment factor is influenced by the environmental factors in the remote detection area of ​​the laser beam emission factor.

[0120] Based on remote detection target information, electromagnetic information of the remote detection area, environmental information of the remote detection area, and a set of intelligent adjustment parameters for laser beam emission, training, testing, and validation datasets are constructed. A training model is built using the training dataset through deep learning technology. The generalization ability of the training model is evaluated using the testing dataset. The training model is adjusted and optimized using the validation dataset. Through this training process, an intelligent adjustment model for laser beam emission parameters is constructed. This model can output laser beam emission parameters in real time based on the input remote detection target information, electromagnetic information of the remote detection area, and environmental information of the remote detection area.

[0121] The laser beam emission submodule adjusts the laser beam emission parameters of the distributed semiconductor lidar system in real time through the intelligent adjustment model of laser beam emission parameters, and emits laser beams to the remote detection area in real time through the multi-coupled semiconductor laser emitters of each semiconductor lidar in the distributed semiconductor lidar system.

[0122] Specifically, the flight path of the aircraft is obtained through positioning technology. Based on the flight path, electromagnetic and environmental information within the flight area during the flight process is obtained in real time. The above information, combined with remote detection target information, is input into the laser beam emission parameter intelligent adjustment model in real time to obtain the laser beam emission parameters of the distributed semiconductor lidar system. The multi-coupled semiconductor laser emitter emits a laser beam to the remote detection area in real time according to the laser beam emission parameters.

[0123] The reflection signal collection and processing module 23 collects the target reflected laser signal through the quantum dot photodetector of the distributed semiconductor lidar system and converts it into the target reflected electrical signal. It then converts the target reflected electrical signal into the target reflected digital signal through analog-to-digital conversion technology. The information processors of each semiconductor lidar in the distributed semiconductor lidar system extract the key feature information of the target and transmit it to the central information processing unit of the distributed semiconductor lidar system. The central information processing unit performs feature fusion on the key feature information of the target to generate the semiconductor lidar remote detection information of the aircraft.

[0124] Furthermore, the reflected signal collection and processing module 23 includes the following sub-modules:

[0125] The reflection signal collection submodule collects the target reflected laser signal through the quantum dot photodetectors of each semiconductor lidar in the distributed semiconductor lidar system and converts it into the target reflected digital signal;

[0126] Specifically, in a distributed semiconductor lidar system, the laser beam emitted by a multi-coupled semiconductor laser emitter encounters the target object and is reflected back by a quantum dot photodetector. The collected target reflected light signal is converted into a target reflected electrical signal using photoelectric effect technology. The target reflected electrical signal is amplified using electrical signal amplification technology. Finally, the amplified target reflected electrical signal is converted into a target reflected digital signal and noise is removed using analog-to-digital conversion technology and noise reduction filtering technology.

[0127] The target key feature information extraction and transmission submodule extracts the target key feature information from the target reflected digital signal through the information processors of each semiconductor lidar in the distributed semiconductor lidar system and transmits it to the central information processing unit of the distributed semiconductor lidar system.

[0128] Specifically, in a distributed semiconductor lidar system, the information processors of each semiconductor lidar analyze the target reflection digital signal and extract the key target feature information of the remotely detected target based on the remotely detected target information, and transmit it to the central information processing unit of the distributed semiconductor lidar system through a data communication interface.

[0129] The semiconductor lidar remote detection information generation submodule generates remote detection information of the aircraft by performing feature fusion through the central information processing unit of the distributed semiconductor lidar system based on the key feature information of the target.

[0130] Specifically, the central information processing unit of the distributed semiconductor lidar system constructs a remote detection target feature set based on the key target feature information transmitted by each semiconductor lidar. ,in, For remote detection target feature set, For the first A feature set of a remotely detected target The number of remotely detected targets. For the first The first feature set of the remote detection target One characteristic, For the first The number of features in the feature set of a remotely detected target is determined by the feature information fusion formula. The feature sets of remotely detected targets are fused, where... For the first Fusion feature information of remote detection targets, For the first The number of features of a remotely detected target For the first The first remote detection target The weight coefficients of each feature, For the first The first remote detection target Features. Based on the fusion features of remotely detected targets. Construct a feature fusion set for remote detection targets, and generate remote detection information for the aircraft's semiconductor lidar based on the feature fusion set.

[0131] The remote detection information generation module 24 acquires remote detection data from the remote detection sensors on the aircraft, and uses a remote detection fusion algorithm to fuse the remote detection information from the aircraft's semiconductor lidar and the remote detection data from the sensors to generate remote detection information.

[0132] Furthermore, the remote detection information generation module 24 includes the following sub-modules:

[0133] The remote sensor data acquisition submodule acquires remote sensor data based on the remote sensor onboard the aircraft.

[0134] Specifically, the remote detection sensors carried by the aircraft include, but are not limited to, infrared sensors, ultraviolet sensors, and multispectral cameras; remote detection data is acquired through these sensors.

[0135] The remote detection information generation submodule fuses the remote detection information from the aircraft's semiconductor lidar and the remote detection data from the sensors using a remote detection fusion algorithm to generate remote detection information.

[0136] Specifically, through remote detection fusion algorithms The system fuses remote detection information from the aircraft's semiconductor lidar with remote detection data from sensors. For remote detection and fusion of information sets, The number of remotely detected targets. These are the weighting coefficients for the remote detection information of semiconductor lidar. For the first The fusion feature information of semiconductor lidar for remote detection of multiple targets The weighting coefficients for remote detection information from infrared sensors. For the first Remote detection information from infrared sensors of a remotely detected target. The weighting coefficients for remote detection information from ultraviolet sensors. For the first Remote detection information from ultraviolet sensors of remotely detected targets. These are the weighting coefficients for the remote detection information from the multispectral camera. For the first Multispectral camera remote detection information of a remotely detected target. Based on the remote detection fusion information set. Generate remote detection information.

[0137] The power monitoring and adjustment module 25 monitors the power usage status of the distributed semiconductor lidar system in real time to obtain power consumption information, obtains the remote detection time of the aircraft according to the remote detection mission, and adjusts the power distribution according to the power consumption information and the remote detection time of the aircraft.

[0138] Furthermore, the power monitoring and adjustment module 25 includes the following sub-modules:

[0139] The power consumption information acquisition submodule monitors the power usage status of the distributed semiconductor lidar system in real time and obtains power consumption information.

[0140] Specifically, the power consumption of the distributed semiconductor lidar system is monitored in real time based on the working status of each component in the distributed semiconductor lidar system, and power consumption information is obtained.

[0141] The power distribution adjustment submodule adjusts the power distribution based on the remote detection time of the aircraft obtained from the remote detection mission and the power consumption information.

[0142] Specifically, the remaining power is obtained based on power consumption information, the remote detection time of the aircraft is obtained based on the remote detection mission, the remaining remote detection time of the aircraft is obtained based on the remote detection time of the aircraft, and the power distribution is adjusted based on the remaining power and the remaining remote detection time of the aircraft so that the remaining power can complete the remote detection mission.

[0143] The specific embodiments described above further illustrate the purpose, technical solution, and beneficial effects of the present invention. It should be understood that the above description is only a specific embodiment of the present invention and is not intended to limit the scope of protection of the present invention. Any modifications, equivalent substitutions, improvements, etc., made on the basis of the technical solution of the present invention should be included within the scope of protection of the present invention.

Claims

1. A method for long-range detection of aircraft based on semiconductor lidar, characterized in that, include: Step S1: The control center generates prohibited installation location information for the aircraft's semiconductor lidar based on the aircraft information; obtains the aircraft's semiconductor lidar layout information based on the prohibited installation location information and the remote detection mission; obtains the aircraft's semiconductor lidar mounting matching performance information based on the aircraft information, the remote detection mission, and the aircraft's semiconductor lidar layout information, and constructs a multi-coupled semiconductor laser emitter; constructs a distributed semiconductor lidar system based on the aircraft's semiconductor lidar layout information, mounting matching performance information, and the multi-coupled semiconductor laser emitter, including the following sub-steps: Step S11: The control center obtains the semiconductor lidar layout information and onboard matching performance information of the aircraft based on the aircraft information and remote detection mission; Step S12: The control center constructs a multi-coupled semiconductor laser emitter based on the matching performance information of the aircraft's semiconductor lidar. Specifically, a multi-coupled semiconductor laser emitter couples multiple semiconductor lasers using coupling technology, thereby improving the quality of the laser beam and increasing and stabilizing the output power. Based on the matching performance information of the aircraft's semiconductor lidar, a preset coupling matching value for the multi-coupled semiconductor laser emitter is set, and the coupling matching formula for the multi-coupled semiconductor laser emitter is used. Calculate the coupling matching value of the semiconductor laser, where, For coupling matching value, The number of semiconductor lasers participating in a multi-coupled semiconductor laser emitter. Weights for pattern matching For the model field diameter matching weight, For mode polarization matching weights, , For the first The mode field diameter of a semiconductor laser For the diameter of the ideal mode field, This represents the maximum permissible deviation of the model field diameter. For the first The mode polarization value of a semiconductor laser For ideal polarization values, For wavelength matching weights, For the first The wavelength of a semiconductor laser The center wavelength, For the maximum allowable wavelength deviation, For power matching weights, for The maximum power of a semiconductor laser. for The minimum power of a semiconductor laser. For the first The power of a semiconductor laser This represents the maximum permissible power non-uniformity. A multi-coupled semiconductor laser emitter is constructed by coupling multiple semiconductor lasers with a coupling matching value greater than a preset coupling matching value using coupling technology. Step S13: The control center constructs a distributed semiconductor lidar system based on the aircraft's semiconductor lidar layout information, performance matching information, and multi-coupled semiconductor laser emitters; Step S2: The control center acquires remote detection target information, electromagnetic information of the remote detection area, and environmental information of the remote detection area based on the remote detection mission, and constructs an intelligent adjustment model for laser beam emission parameters. The laser beam emission parameters of the distributed semiconductor lidar system are adjusted in real time through the intelligent adjustment model and a laser beam is emitted to the remote detection area through a multi-coupled semiconductor laser emitter. Step S3: The control center collects the target reflected laser signal through the quantum dot photodetector of the distributed semiconductor lidar system and converts it into the target reflected electrical signal. The target reflected electrical signal is converted into the target reflected digital signal through analog-to-digital conversion technology. The information processors of each semiconductor lidar in the distributed semiconductor lidar system extract the key feature information of the target and transmit it to the central information processing unit of the distributed semiconductor lidar system. The central information processing unit performs feature fusion on the key feature information of the target to generate the semiconductor lidar remote detection information of the aircraft. Step S4: The control center acquires remote detection data from the remote detection sensors on the aircraft, and uses a remote detection fusion algorithm to fuse the remote detection information from the aircraft's semiconductor lidar and the remote detection data from the sensors to generate remote detection information. Step S5: The control center monitors the power usage status of the distributed semiconductor lidar system in real time to obtain power consumption information, obtains the remote detection time of the aircraft according to the remote detection mission, and adjusts the power allocation according to the power consumption information and the remote detection time of the aircraft.

2. The method for long-range detection of aircraft based on semiconductor lidar as described in claim 1, characterized in that, The control center acquires information about the remote detection target, electromagnetic information of the remote detection area, and environmental information of the remote detection area based on the remote detection mission, and constructs an intelligent adjustment model for laser beam emission parameters. This model is used to adjust the laser beam emission parameters of the distributed semiconductor lidar system in real time, and the laser beam is emitted into the remote detection area via a multi-coupled semiconductor laser emitter. The process includes the following sub-steps: Step S21: The control center obtains remote detection target information, electromagnetic information of the remote detection area, and environmental information of the remote detection area based on the remote detection mission; Step S22: The control center constructs an intelligent adjustment model for laser beam emission parameters based on remote detection target information, electromagnetic information of the remote detection area, environmental information of the remote detection area, and the distributed semiconductor lidar system. Step S23: The control center adjusts the laser beam emission parameters of the distributed semiconductor lidar system in real time through the intelligent adjustment model of laser beam emission parameters, and emits laser beams to the remote detection area in real time through the multi-coupled semiconductor laser emitters of each semiconductor lidar in the distributed semiconductor lidar system.

3. The method for long-range detection of aircraft based on semiconductor lidar as described in claim 1, characterized in that, The control center collects the target reflected laser signal through the quantum dot photodetector of the distributed semiconductor lidar system and converts it into a target reflected electrical signal. Analog-to-digital conversion (ADC) is then used to convert the electrical signal into a digital signal. The information processors of each semiconductor lidar unit in the distributed semiconductor lidar system extract key target feature information and transmit it to the central information processing unit. The central information processing unit performs feature fusion on the key target feature information to generate the aircraft's semiconductor lidar long-range detection information, including the following sub-steps: Step S31: The control center collects the target reflected laser signal through the quantum dot photodetectors of each semiconductor lidar in the distributed semiconductor lidar system and converts it into the target reflected digital signal. Step S32: The control center extracts key feature information of the target based on the target reflected digital signal through the information processors of each semiconductor lidar in the distributed semiconductor lidar system and transmits it to the central information processing unit of the distributed semiconductor lidar system. Step S33: The control center performs feature fusion through the central information processing unit of the distributed semiconductor lidar system based on the key feature information of the target to generate remote detection information of the aircraft's semiconductor lidar.

4. The method for long-range detection of aircraft based on semiconductor lidar as described in claim 1, characterized in that, The control center acquires remote detection data from the remote detection sensors on board the aircraft, and uses a remote detection fusion algorithm to fuse the remote detection information from the aircraft's semiconductor lidar and the remote detection data from the sensors to generate remote detection information. This process includes the following sub-steps: Step S41: The control center acquires remote detection data from the remote detection sensors carried by the aircraft. Step S42: The control center uses a remote detection fusion algorithm to fuse the remote detection information from the aircraft's semiconductor lidar and the remote detection data from the sensors to generate remote detection information.

5. A long-range detection system for aircraft based on semiconductor lidar, characterized in that, include: The distributed semiconductor lidar system construction module generates prohibited installation location information for the aircraft's semiconductor lidar based on aircraft information; obtains the aircraft's semiconductor lidar layout information based on the prohibited installation location information and the remote detection mission; obtains the aircraft's semiconductor lidar mounting matching performance information based on the aircraft information, the remote detection mission, and the aircraft's semiconductor lidar layout information, and constructs a multi-coupled semiconductor laser emitter; and constructs a distributed semiconductor lidar system based on the aircraft's semiconductor lidar layout information, mounting matching performance information, and the multi-coupled semiconductor laser emitter, including the following sub-modules: The layout information and payload matching performance information acquisition submodule acquires the semiconductor lidar layout information and payload matching performance information of the aircraft based on aircraft information and remote detection missions; A multi-coupled semiconductor laser emitter construction submodule is used to construct a multi-coupled semiconductor laser emitter based on the matching performance information of the aircraft's semiconductor lidar. Specifically, a multi-coupled semiconductor laser emitter couples multiple semiconductor lasers using coupling technology, thereby improving the quality of the laser beam and increasing and stabilizing the output power. Based on the matching performance information of the aircraft's semiconductor lidar, a preset coupling matching value for the multi-coupled semiconductor laser emitter is set, and the coupling matching formula for the multi-coupled semiconductor laser emitter is used. Calculate the coupling matching value of the semiconductor laser, where, For coupling matching value, The number of semiconductor lasers participating in a multi-coupled semiconductor laser emitter. Weights for pattern matching For the model field diameter matching weight, For mode polarization matching weights, , For the first The mode field diameter of a semiconductor laser For the diameter of the ideal mode field, This represents the maximum permissible deviation of the model field diameter. For the first The mode polarization value of a semiconductor laser For ideal polarization values, For wavelength matching weights, For the first The wavelength of a semiconductor laser The center wavelength, For the maximum allowable wavelength deviation, For power matching weights, for The maximum power of a semiconductor laser. for The minimum power of a semiconductor laser. For the first The power of a semiconductor laser This represents the maximum permissible power non-uniformity. A multi-coupled semiconductor laser emitter is constructed by coupling multiple semiconductor lasers with a coupling matching value greater than a preset coupling matching value using coupling technology. The distributed semiconductor lidar system construction submodule constructs a distributed semiconductor lidar system based on the aircraft's semiconductor lidar layout information, performance matching information, and multi-coupled semiconductor laser emitters. The laser beam adjustment and emission module acquires information about the remote detection target, electromagnetic information of the remote detection area, and environmental information of the remote detection area based on the remote detection mission, and constructs an intelligent adjustment model for laser beam emission parameters. The intelligent adjustment model for laser beam emission parameters adjusts the laser beam emission parameters of the distributed semiconductor lidar system in real time and emits a laser beam to the remote detection area through a multi-coupled semiconductor laser emitter. The reflection signal collection and processing module collects the target reflected laser signal through the quantum dot photodetector of the distributed semiconductor lidar system and converts it into the target reflected electrical signal. It then converts the target reflected electrical signal into the target reflected digital signal through analog-to-digital conversion technology. The information processors of each semiconductor lidar in the distributed semiconductor lidar system extract the key feature information of the target and transmit it to the central information processing unit of the distributed semiconductor lidar system. The central information processing unit performs feature fusion on the key feature information of the target to generate the semiconductor lidar remote detection information of the aircraft. The remote detection information generation module acquires remote detection data from the remote detection sensors on the aircraft and uses a remote detection fusion algorithm to fuse the remote detection information from the aircraft's semiconductor lidar and the remote detection data from the sensors to generate remote detection information. The power monitoring and adjustment module monitors the power usage status of the distributed semiconductor lidar system in real time to obtain power consumption information. Based on the remote detection mission, it obtains the remote detection time of the aircraft and adjusts the power distribution according to the power consumption information and the remote detection time of the aircraft.

6. The aircraft remote detection system based on semiconductor lidar as described in claim 5, characterized in that, The laser beam adjustment and emission module specifically includes: The remote detection target and area information acquisition submodule acquires remote detection target information, remote detection area electromagnetic information, and remote detection area environmental information based on the remote detection mission. The intelligent adjustment model construction submodule for laser beam emission parameters constructs an intelligent adjustment model for laser beam emission parameters based on remote detection target information, electromagnetic information of the remote detection area, environmental information of the remote detection area, and the distributed semiconductor lidar system. The laser beam emission submodule adjusts the laser beam emission parameters of the distributed semiconductor lidar system in real time through an intelligent laser beam emission parameter adjustment model, and emits laser beams to the remote detection area in real time through the multi-coupled semiconductor laser emitters of each semiconductor lidar in the distributed semiconductor lidar system.

7. The aircraft remote detection system based on semiconductor lidar as described in claim 5, characterized in that, The reflected signal collection and processing module specifically includes: The reflection signal collection submodule collects the target reflected laser signal through the quantum dot photodetectors of each semiconductor lidar in the distributed semiconductor lidar system and converts it into the target reflected digital signal; The target key feature information extraction and transmission submodule extracts the target key feature information from the target reflected digital signal through the information processors of each semiconductor lidar in the distributed semiconductor lidar system and transmits it to the central information processing unit of the distributed semiconductor lidar system. The semiconductor lidar remote detection information generation submodule generates remote detection information for the aircraft by performing feature fusion through the central information processing unit of the distributed semiconductor lidar system based on the key feature information of the target.

8. The aircraft remote detection system based on semiconductor lidar as described in claim 5, characterized in that, The remote detection information generation module specifically includes: The remote sensor data acquisition submodule acquires remote sensor data based on the remote sensor onboard the aircraft. The remote detection information generation submodule uses a remote detection fusion algorithm to fuse remote detection information from the aircraft's semiconductor lidar and remote detection data from sensors to generate remote detection information.

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