Aerial operation processing method and system

Abstract

The invention relates to the technical field of aviation operation processing, and discloses an aviation operation processing method and system, and the method comprises the steps: obtaining characteristic parameters, controlling a communication signal through simulation ground, carrying out the periodic frequency sweeping in a preset frequency range, and obtaining the resonance reflection coefficients of F frequency points in the preset frequency range; dividing the taxiway into K uniform sub-regions according to a fixed interval, and determining the region signal intensity of the K sub-regions; determining resonance sensitive coordinates according to the region signal intensity of each sub-region and the resonance reflection coefficients of the F frequency points; fitting the frequency spectrum of the reference signal and the resonance reflection coefficients of the F frequency points to obtain a final resonance loss factor; and in a monitoring time period, acquiring an actual signal frequency spectrum of the taxiway, and calculating signal amplitudes of F frequency points and an offset value of a resonance center frequency in combination with the final resonance loss factor.

Description

Technical Field

[0001] The present invention relates to the technical field of aviation operation processing, and more particularly, to an aviation operation processing method and system. Background Art

[0002] The safe operation of airport taxiways is crucial for ensuring efficient flight takeoffs and landings and ensuring smooth ground traffic flow. Taxiway condition monitoring includes structural integrity and communication signal stability. Existing structural integrity monitoring relies on manual or machine vision inspections, while communication signal stability monitoring relies on VHF signal analysis using a spectrum analyzer. Both structural integrity and communication signal stability impact the safe takeoff and landing of aircraft, and thus impact aviation operations.

[0003] In airport taxiways, metal lamps are arranged in a fixed-space array to form an artificial magnetic conductor surface in the VHF band. Their Bragg resonance characteristics selectively couple with the dual-tone frequencies of communication signals. Existing technologies do not address this physical connection, resulting in the following problems: Structural anomalies and signal anomalies cannot be identified through the same data source, and separate data collection and determination are required, resulting in high costs for anomaly monitoring. The present invention provides an aviation operation processing method and system to solve the technical problems raised in the background technology.

[0004] In a first aspect, the present invention provides an aerial work processing method, comprising: Step 1: Get characteristic parameters, including: lamp spacing , direct signal strength , relative dielectric constant , signal reflection coefficient and signal incident angle ; Based on the distance between lamps , relative dielectric constant and signal incident angle Calculate the resonance center frequency by combining the improved PRAM-3 model ; Step 2: By simulating the ground control communication signal, periodically sweep the frequency within the preset frequency range to obtain the resonant reflection coefficients of F frequency points within the preset frequency range. ; Step 3: Divide the taxiway into K uniform sub-areas at fixed intervals and select them based on the direct signal strength. , signal reflection coefficient and the resonant reflection coefficient at F frequency points , determine the regional signal strength of K sub-regions ; Step 4: Based on the regional signal strength of each sub-region Resonance reflection coefficient at F frequency points , determine the resonance sensitive coordinates ; Step 5: In the resonance sensitive coordinates At, get: Get the reference signal spectrum of the taxiway ; The reference signal spectrum and the resonant reflection coefficient at F frequency points Fitting process to obtain the final resonance loss factor ; Step 6: Obtain the actual signal spectrum of the taxiway during the monitoring period , combined with the final resonance loss factor , calculate the signal amplitude of F frequency points and the offset value of the resonance center frequency; Step 7: Perform structural anomaly detection and communication signal anomaly detection on the signal amplitudes of the F frequency points and the offset values ​​of the resonance center frequencies to generate an anomaly monitoring result.

[0005] Furthermore, the improved PRAM-3 model includes direct field intensity, horizontal reflected wave field intensity, vertical reflected wave field intensity and periodic scattered field intensity; the direct field intensity, horizontal reflected wave field intensity, vertical reflected wave field intensity and periodic scattered field intensity are weighted and fused to form the improved PRAM-3 model; among which, the periodic scattered field intensity represents the scattering of signals by the artificial magnetic conductor generated by the taxiway lamps.

[0006] Further, including: based on the distance between lamps , relative dielectric constant and signal incident angle Calculate the resonance center frequency using the PRAM-3 model ,as follows: Among them, the resonant center frequency is the first-order Bragg center frequency of the PRAM-3 model, represents the speed of light, It represents the effective refractive index, which is used to reflect the equivalent refractive characteristics of ground control communication signals propagating on the taxiway.

[0007] Furthermore, by simulating the ground control communication signal, periodic frequency sweep is performed in the preset frequency range to obtain the resonant reflection coefficients of F frequency points in the preset frequency range. ,include: The preset frequency ranges are: , and determine F frequency points at fixed frequency intervals within the preset frequency range; Determine the resonant reflection coefficient at the fth frequency point based on the PRAM-3 model ,as follows: in, represents the imaginary unit, , Represents the preset initial resonance loss factor, Indicates the frequency of the fth frequency point.

[0008] Furthermore, based on the direct signal strength , signal reflection coefficient and the resonant reflection coefficient at F frequency points , determine the regional signal strength of K sub-regions ; For the improved PRAM-3 model, the vertical reflected wave field strength of the taxiway is approximately 0; The signal reflection coefficient , direct signal strength and the resonant reflection coefficient at F frequency points They are used as the horizontal reflected wave intensity, direct field intensity and periodic scattered field intensity in the improved PRAM-3 model respectively, so as to obtain the regional signal intensity of each sub-area based on the improved PRAM-3 model. .

[0009] Furthermore, based on the regional signal strength of each sub-region Resonance reflection coefficient at F frequency points , determine the resonance sensitive coordinates ,include: in, Indicates the regional signal strength of sub-region k, 1≤k≤K, k is a positive integer, Represents the resonant reflection coefficient at the fth frequency point, 1≤f≤F, f is a positive integer, represents the signal strength of sub-region k Resonance reflection coefficient at frequency point f The partial derivative of Indicates that it will cause The largest k-th sub-region is used as the resonance sensitive coordinate M.

[0010] Furthermore, the reference signal spectrum and the resonant reflection coefficient at F frequency points Fitting process to obtain the final resonance loss factor ,include: Collect the reference signal spectrum at the resonance sensitive coordinate M ; Among them, the reference signal spectrum The reference signal frequency includes F frequency points , Indicates the reference signal frequency at the fth frequency point; By adjusting the initial resonance loss factor The value of corresponds to changing the resonant reflection coefficient of F frequency points , forming the theoretical signal spectrum , to minimize , Indicates adjustment of the initial resonance loss factor The resonant reflection coefficient of the fth frequency point is updated after taking the value of ; Minimize The corresponding initial resonance loss factor , as the final resonance loss factor .

[0011] Furthermore, during the monitoring period, the actual signal spectrum of the taxiway is obtained. , combined with the final resonance loss factor , calculate the signal amplitude of F frequency points and the offset value of the resonant center frequency, including: Based on the final resonance loss factor , get the updated resonance reflection coefficient of the fth frequency point ; Update the resonance reflection coefficient Combined with direct signal strength and signal reflection coefficient , through the improved PRAM-3 model, the reference frequency of the fth frequency point is obtained ; Extract the actual signal spectrum The actual frequency of the fth frequency point at time t ; Calculate the actual frequency and reference frequency The difference between and is used to obtain the signal amplitude at time t; The average value of the signal amplitude at each moment is taken as the signal amplitude at the fth frequency point to obtain the signal amplitude of F frequency points; Based on real-time signal spectrum Extract the resonance peak frequency at time t by the centroid method ; Calculate the resonance peak frequency and resonant center frequency The difference between , gets the offset value at time t; The average value of the deviation values ​​at each moment is taken as the deviation value of the resonance center frequency.

[0012] Furthermore, based on the signal amplitudes at F frequency points and the offset values ​​of the resonant center frequency, structural anomaly detection and communication signal anomaly detection are performed respectively to form an anomaly monitoring result, including: Based on the expert method, the signal amplitude threshold of each frequency point and the offset threshold of the resonance center frequency are set respectively; Structural anomaly detection includes: comparing the signal amplitude of each frequency point with the signal amplitude threshold of the corresponding frequency point. If the signal amplitude of any frequency point is greater than or equal to the corresponding signal amplitude threshold, a structural anomaly determination is made. The communication signal abnormality detection includes: comparing the offset value of the resonance center frequency with the offset threshold value, and if the offset value ≥ the offset threshold value, obtaining a communication signal abnormality determination.

[0013] In a second aspect, an aviation operation processing system is applied to any of the aviation operation processing methods described above, comprising: Frequency calculation module, used to obtain characteristic parameters, including: lamp spacing , direct signal strength , relative dielectric constant , signal reflection coefficient and signal incident angle ; Based on the distance between lamps , relative dielectric constant and signal incident angle Calculate the resonance center frequency by combining the improved PRAM-3 model ; The frequency sweep coefficient module is used to simulate the ground control communication signal and perform periodic frequency sweep in the preset frequency range to obtain the resonant reflection coefficients of F frequency points in the preset frequency range. ; Sub-area field strength module is used to divide the taxiway into K uniform sub-areas at fixed intervals and calculate the sub-areas based on the direct signal strength. , signal reflection coefficient and the resonant reflection coefficient at F frequency points , determine the regional signal strength of K sub-regions ; Sensitive coordinate module, used to determine the signal strength of each sub-area Resonance reflection coefficient at F frequency points , determine the resonance sensitive coordinates ; Base factor module for resonant sensitive coordinates At, get: Get the reference signal spectrum of the taxiway ; The reference signal spectrum and the resonant reflection coefficient at F frequency points Fitting process to obtain the final resonance loss factor ; The real spectrum parameter module is used to obtain the actual signal spectrum of the taxiway during the monitoring period , combined with the final resonance loss factor , calculate the signal amplitude of F frequency points and the offset value of the resonance center frequency; The abnormal result module is used to perform structural abnormality detection and communication signal abnormality detection based on the signal amplitude of F frequency points and the offset value of the resonance center frequency, and form abnormal monitoring results.

[0014] The beneficial effects of the present invention are as follows: by deeply integrating the electromagnetic resonance characteristics of the taxiway periodic structure with the ground control communication signal model, synchronous, high-sensitivity, and low-false alarm rate monitoring of the taxiway structural integrity and communication link reliability is achieved based on the improved PRAM-3 model, avoiding the complexity brought about by the traditional reliance on two independent systems, dual-path calculation and multi-signal decoupling, and significantly improving monitoring efficiency and accuracy. BRIEF DESCRIPTION OF THE DRAWINGS

[0015] Figure 1 It is a module diagram of an aviation operation processing system of the present invention. DETAILED DESCRIPTION

[0016] The subject matter described herein will now be discussed with reference to exemplary embodiments. It should be understood that these embodiments are discussed solely to enable those skilled in the art to better understand and implement the subject matter described herein, and that the functions and arrangements of the elements discussed may be varied without departing from the scope of this specification. Various examples may omit, substitute, or add various processes or components as needed. In addition, features described with respect to some examples may also be combined in other examples.

[0017] A method for processing an aerial operation, comprising: Step 1: Get characteristic parameters, including: lamp spacing , direct signal strength , relative dielectric constant , signal reflection coefficient and signal incident angle ; Based on the distance between lamps , relative dielectric constant and signal incident angle Calculate the resonance center frequency by combining the improved PRAM-3 model ; It should be noted that the lamps on the taxiway were measured on site using a high-precision distance meter. The distances between adjacent lamps were measured in sequence according to the design layout to obtain the lamp spacing. . Luminaire spacing Refers to the physical distance between adjacent lamps on the taxiway, which affects the resonant center frequency. The key structural parameters of the lattice are closely related to the spatial periodic interaction of the signal.

[0018] Use a professional signal strength tester to measure the signal strength at a location near the taxiway where the direct path is unobstructed. The instrument directly reads and records the direct signal strength. Direct signal strength It indicates the electric field strength when the signal propagates directly from the transmitter to the receiver without interference such as reflection and scattering. It is an important parameter to measure the initial signal strength.

[0019] Collect ground material samples and measure them in the laboratory using a dielectric constant tester. Place the sample in the test equipment and determine the relative dielectric constant based on the measurement results at different frequencies. . Relative dielectric constant It describes the polarization characteristics of media such as taxiway ground materials under the action of electric fields, reflects the medium's response ability to electric fields, and affects the phase and amplitude changes during signal propagation.

[0020] The reflection coefficient is measured on the taxiway site using a reflection coefficient meter. The signal reflection coefficient is calculated by transmitting a signal with known characteristics, receiving the reflected signal and analyzing its relationship with the incident signal. Signal reflection coefficient It characterizes the amplitude and phase relationship between the reflected signal and the incident signal when the signal is reflected by the ground, reflecting the ground's ability and characteristics to reflect signals.

[0021] Use a high-precision angle measuring instrument to measure the angle of the incident direction between the signal transmitting end and the reflecting surface to obtain the signal incident angle . Signal incident angle It refers to the angle between the incident direction and the normal of the reflecting surface when the signal is incident on the ground or other reflecting surfaces. It has a significant impact on the path and intensity of the reflected signal.

[0022] In one embodiment of the present invention, an improved PRAM-3 model includes direct field intensity, horizontal reflected wave field intensity, vertical reflected wave field intensity, and periodic scattered field intensity. The direct field intensity, horizontal reflected wave field intensity, vertical reflected wave field intensity, and periodic scattered field intensity are weighted and fused to form the improved PRAM-3 model. The periodic scattered field intensity represents the scattering of signals by artificial magnetic conductors generated by taxiway lighting.

[0023] It should be noted that the improved PRAM-3 model, based on the traditional three-ray propagation model (direct radiation + horizontal ground reflection + vertical sidewall reflection), adds a Bragg resonance scattering component generated by the periodic metal lamp array along the taxiway centerline. The four physical components are superimposed at the receiving point by complex vectors and jointly determine the received field strength. The improved PRAM-3 model is as follows: The direct field strength refers to the free space propagation wave from the ground control station transmitting antenna to the monitoring point antenna. Its amplitude is proportional to the transmitting power, transmitting antenna gain and propagation distance. The phase delay of the propagation distance is determined by the wavelength.

[0024] The horizontal reflected wave intensity refers to the wave reaching the monitoring point after a signal is reflected once from the taxiway's concrete or asphalt surface. The reflection intensity is determined by the angle of incidence and the relative dielectric constant of the surface material, corresponding to the classic Fresnel reflection coefficient. Due to the greater distance from the return point, the phase difference is greater than that of direct radiation by the corresponding distance.

[0025] The vertical reflected wave intensity refers to the component of the signal arriving after reflection from vertical surfaces such as the taxiway hangars and jet bridges. The reflection coefficient is also determined by the incident polarization direction, the dielectric constant of the material, and the angle of incidence. In a typical taxiway scenario without tall sidewalls, this vertical reflected wave intensity can be approximated to zero.

[0026] The periodic scattered field intensity refers to the scattered waves generated when the signal undergoes Bragg resonance with the metal lamps arranged at equal intervals along the center line of the taxiway.

[0027] In one embodiment of the present invention, the calculation formula of the improved PRAM-3 model is as follows: in, Indicates the direct field strength, Indicates the horizontal reflected wave field strength, represents the vertical reflected wave field strength, represents the periodic scattered field intensity; middle , ;in, Indicates the transmission power of the ground control station, represents the transmit antenna gain, represents the direct path distance between the transmitting antenna and the receiving antenna (the center of the slideway), 30 represents the empirical conversion factor for converting power to field strength in free space, It represents the phase delay when the direct wave reaches the receiving point. Represents the speed of light.

[0028] middle Indicates the ground reflection field strength, usually taken as the same as the direct amplitude ; represents the signal reflection coefficient (ground), represents the ground reflection phase delay, , It represents the total propagation distance from the transmitting antenna to the ground reflection point and then to the receiving antenna.

[0029] middle Indicates the intensity of the field reflected from the wall, usually taken to be the same as the direct amplitude ; Indicates the signal reflection coefficient (wall), represents the phase delay of the wall reflection. Since the vertical reflection field strength can be approximately zero in a typical taxiway scenario, the vertical reflection wave field strength is not described in detail.

[0030] middle , (corresponding to the calculation formula of the resonance reflection coefficient), , (corresponding to the calculation formula of the resonant center frequency), represents the periodic scattering phase delay, It represents the sum of the distance from the transmitting antenna to the equivalent periodic structure surface (metal lamp array) of the taxiway centerline, plus the distance from the periodic structure surface to the receiving end.

[0031] In one embodiment of the present invention, the following steps are included: , relative dielectric constant and signal incident angle Calculate the resonance center frequency using the PRAM-3 model ,as follows: Among them, the resonant center frequency is the first-order Bragg center frequency of the PRAM-3 model, represents the speed of light, It represents the effective refractive index, which is used to reflect the equivalent refractive characteristics of ground control communication signals propagating on the taxiway.

[0032] It should be noted that when the signal wavelength λ is equal to the array spacing When a certain relationship is met, Bragg scattering occurs, that is, the interference superposition of reflected waves between adjacent units is the strongest. The first-order Bragg center frequency satisfies: By calculation , it can lock the specific frequency point where the resonance deep groove or peak caused by the lamp array occurs during spectrum scanning, making monitoring more efficient without the need to blindly scan the preset frequency range.

[0033] Step 2: By simulating the ground control communication signal, periodically sweep the frequency within the preset frequency range to obtain the resonant reflection coefficients of F frequency points within the preset frequency range. ; In one embodiment of the present invention, by simulating the ground control communication signal, periodically sweeping the frequency within a preset frequency range, the resonance reflection coefficients of F frequency points within the preset frequency range are obtained. ,include: The preset frequency ranges are: , and determine F frequency points at fixed frequency intervals within the preset frequency range; Determine the resonant reflection coefficient at the fth frequency point based on the PRAM-3 model ,as follows: in, represents the imaginary unit, , Represents the preset initial resonance loss factor, Indicates the frequency of the fth frequency point.

[0034] It represents the complex reflection response of the equivalent periodic structure of the taxiway centerline to the ground control communication signal at the fth frequency point, including the amplitude suppression or enhancement and phase shift of this frequency.

[0035] Initial resonance loss factor Indicates the steepness of the resonance peak of the equivalent periodic structure surface.

[0036] When the simulated ground control communication signal is swept within the preset range, the corresponding frequency of each frequency point f is directly calculated. , there is no need to actually measure the equivalent periodic structure surface.

[0037] Step 3: Divide the taxiway into K uniform sub-areas at fixed intervals and select them based on the direct signal strength. , signal reflection coefficient and the resonant reflection coefficient at F frequency points , determine the regional signal strength of K sub-regions ; In one embodiment of the present invention, based on the direct signal strength , signal reflection coefficient and the resonant reflection coefficient at F frequency points , determine the regional signal strength of K sub-regions ; For the improved PRAM-3 model, the vertical reflected wave field strength of the taxiway is approximately 0; The signal reflection coefficient , direct signal strength and the resonant reflection coefficient at F frequency points They are used as the horizontal reflected wave intensity, direct field intensity and periodic scattered field intensity in the improved PRAM-3 model respectively, so as to obtain the regional signal intensity of each sub-area based on the improved PRAM-3 model. .

[0038] It should be noted that the taxiway is divided into K sub-areas at fixed intervals, so that the length and width of the taxiway are discretized into several adjacent sub-areas of equal area to achieve high-resolution perception of the spatial field strength distribution.

[0039] In a typical open taxiway scenario, vertical reflection sources such as sidewalls and hangars have limited height, making their contribution to the monitoring antenna negligible. Therefore, the vertical reflection wave intensity from the taxiway is approximated to zero. Removing this term from the model significantly simplifies the computation and avoids meaningless small-scale interference. The model remains unchanged, focusing on the three dominant terms: direct reflection, ground reflection, and periodic scattering.

[0040] Based on the improved PRAM-3 model, we get: in, Indicates the regional signal strength of the k-th sub-region at the f-th frequency point.

[0041] Step 4: Based on the regional signal strength of each sub-region Resonance reflection coefficient at F frequency points , determine the resonance sensitive coordinates ; In one embodiment of the present invention, the signal strength of each sub-area is determined based on the Resonance reflection coefficient at F frequency points , determine the resonance sensitive coordinates ,include: in, Indicates the regional signal strength of sub-region k, 1≤k≤K, k is a positive integer, Represents the resonant reflection coefficient at the fth frequency point, 1≤f≤F, f is a positive integer, represents the signal strength of sub-region k Resonance reflection coefficient at frequency point f The partial derivative of Indicates that it will cause The largest k-th sub-region is used as the resonance sensitive coordinate M.

[0042] It should be noted that in the K sub-areas, a monitoring point that can best amplify the resonance change signal needs to be selected. This monitoring point should be The smallest deviation has the greatest response, so that when an actual fault or deviation occurs, it will be reflected first and most obviously.

[0043] For the kth sub-area, the composite field strength at the fth frequency point is , focusing on the influence of periodic scattering on the total field strength, that is, The partial derivative of , Indicates that at the fth frequency point, the resonant scattering coefficient When a small change occurs, the amplitude change of the regional signal strength in the kth region occurs.

[0044] Due to the phase Due to the difference in phase superposition direction, the partial derivatives vary depending on the geometric position of the sub-region.

[0045] Since the actual monitoring is performed simultaneously at F discrete frequency points, in order to obtain the area most sensitive to changes in the preset frequency range, it is necessary to accumulate the absolute value of the partial derivatives at each frequency point: and select Coordinates of the largest subregion.

[0046] Step 5: In the resonance sensitive coordinates At, get: Get the reference signal spectrum of the taxiway ; The reference signal spectrum and the resonant reflection coefficient at F frequency points Fitting process to obtain the final resonance loss factor ; In one embodiment of the present invention, the reference signal spectrum and the resonant reflection coefficient at F frequency points Fitting process to obtain the final resonance loss factor ,include: Collect the reference signal spectrum at the resonance sensitive coordinate M ; Among them, the reference signal spectrum The reference signal frequency includes F frequency points , Indicates the reference signal frequency at the fth frequency point; By adjusting the initial resonance loss factor The value of corresponds to changing the resonant reflection coefficient of F frequency points , forming the theoretical signal spectrum , to minimize , Indicates adjustment of the initial resonance loss factor The resonant reflection coefficient of the fth frequency point is updated after taking the value of ; Minimize The corresponding initial resonance loss factor , as the final resonance loss factor .

[0047] It should be noted that when scanning the preset frequency range for the first time and calculating the regional signal strength, the model must first have an available resonant reflection coefficient , in order to obtain the theoretical signal spectrum Therefore, the initial resonance loss factor is artificially set , the initial resonance loss factor Based on the empirical value of the manufacturing material structure of the lamp, the empirical value is preferably 20~40.

[0048] It should be noted that minimizing It can be processed based on the gradient descent method.

[0049] Step 6: Obtain the actual signal spectrum of the taxiway during the monitoring period , combined with the final resonance loss factor , calculate the signal amplitude of F frequency points and the offset value of the resonance center frequency; In one embodiment of the present invention, the actual signal spectrum of the taxiway is obtained during the monitoring period. , combined with the final resonance loss factor , calculate the signal amplitude of F frequency points and the offset value of the resonant center frequency, including: Based on the final resonance loss factor , get the updated resonance reflection coefficient of the fth frequency point ; Update the resonance reflection coefficient Combined with direct signal strength and signal reflection coefficient , through the improved PRAM-3 model, the reference frequency of the fth frequency point is obtained ; Extract the actual signal spectrum The actual frequency of the fth frequency point at time t ; Calculate the actual frequency and reference frequency The difference between and is used to obtain the signal amplitude at time t; The average value of the signal amplitude at each moment is taken as the signal amplitude at the fth frequency point to obtain the signal amplitude of F frequency points; Based on real-time signal spectrum Extract the resonance peak frequency at time t by the centroid method ; Calculate the resonance peak frequency and resonant center frequency The difference between , gets the offset value at time t; The average value of the deviation values ​​at each moment is taken as the deviation value of the resonance center frequency.

[0050] It should be noted that the resonant center frequency Is determined by the distance between lamps , relative dielectric constant and signal incident angle The natural oscillation frequency is determined by fixed parameters such as the resonant center frequency. When the spacing between lamps is shifted, the unit size changes, the ground humidity or the material ages, the effective refractive index changes. A measurable drift will occur. The offset value of the resonant center frequency can quantify these structural changes without being misled by factors such as amplitude noise and transmission loss. Therefore, by simply monitoring the offset value of the resonant center frequency, subtle anomalies at the physical structure level can be detected at an early stage and clearly attributed to physical causes.

[0051] It should be noted that the periodic structure of the lamp responds to the scattering of different frequencies at the resonant center frequency. The signal amplitude changes reflect the material and environment: for example, dust, corrosion or surface coating changes will change the final resonance loss factor. , so that the scattering response is at the resonant center frequency The signal amplitude at multiple frequencies shows a characteristic of becoming wider and shallower or narrower and deeper near the edge of the spectrum, resulting in synchronized changes in signal amplitude at multiple frequency points. Therefore, the signal amplitude at F frequency points can reflect changes in loss or scattering intensity, and the overall shift in the spectrum shape can improve the reliability of anomaly detection.

[0052] Step 7: Perform structural anomaly detection and communication signal anomaly detection on the signal amplitudes of the F frequency points and the offset values ​​of the resonance center frequencies to generate an anomaly monitoring result.

[0053] In one embodiment of the present invention, structural anomaly detection and communication signal anomaly detection are performed for the signal amplitudes and the offset values ​​of the resonant center frequencies at F frequency points, respectively, to form an anomaly monitoring result, including: Based on the expert method, the signal amplitude threshold of each frequency point and the offset threshold of the resonance center frequency are set respectively; Structural anomaly detection includes: comparing the signal amplitude of each frequency point with the signal amplitude threshold of the corresponding frequency point. If the signal amplitude of any frequency point is greater than or equal to the corresponding signal amplitude threshold, a structural anomaly determination is made. The communication signal abnormality detection includes: comparing the offset value of the resonance center frequency with the offset threshold value, and if the offset value ≥ the offset threshold value, obtaining a communication signal abnormality determination.

[0054] It should be noted that the signal amplitude threshold represents the pre-set maximum safe receiving amplitude for the f-th frequency point. When the structure is intact and the environment is normal, the signal amplitude will not exceed the maximum safe receiving amplitude. When the lamp loss decreases, the reflection increases, or strong external interference occurs, the signal amplitude at certain frequency points will exceed the signal amplitude threshold.

[0055] It's important to note that the resonant center frequency offset threshold represents the maximum tolerable offset for resonant center frequency drift. This maximum offset represents the normal range of fluctuations due to factors such as array period and material refraction. If the structure shifts or the carrier frequency is abnormal, a resonant center frequency offset exceeding this maximum offset indicates an anomaly at the communication frequency level.

[0056] The signal amplitude threshold is used for structural health monitoring, and the resonance center frequency offset threshold is used for communication link monitoring. The two do not interfere with each other and cover all common fault scenarios.

[0057] In summary, the present invention solves the following technical problems: Minor physical changes, such as structural degradation of lamps, cracking of asphalt surfaces, and changes in concrete moisture content, often manifest initially as only a slight shift in the resonant peak bandwidth or center frequency, which is difficult to detect with the human eye or a single inspection. Monitoring signal amplitude and offset can identify potential hazards from subtle changes in the spectrum curve before they become dangerous, mitigating the risk of unplanned downtime.

[0058] At large hub airports, aircraft, ground handling vehicles, and refueling trucks operate simultaneously on taxiways, making VHF channels susceptible to multipath fading, sudden interference, and frequency drift. Simultaneously monitoring signal amplitude at multiple frequency points can distinguish amplitude fluctuations caused by multipath cancellation and lamp resonance. The offset value can also identify carrier frequency drift, preventing signal anomalies during landing.

[0059] like Figure 1 As shown, an aviation operation processing system is applied to any of the aviation operation processing methods described above, comprising: Frequency calculation module, used to obtain characteristic parameters, including: lamp spacing , direct signal strength , relative dielectric constant , signal reflection coefficient and signal incident angle ; Based on the distance between lamps , relative dielectric constant and signal incident angle Calculate the resonance center frequency by combining the improved PRAM-3 model ; The frequency sweep coefficient module is used to simulate the ground control communication signal and perform periodic frequency sweep in the preset frequency range to obtain the resonant reflection coefficients of F frequency points in the preset frequency range. ; Sub-area field strength module is used to divide the taxiway into K uniform sub-areas at fixed intervals and calculate the sub-areas based on the direct signal strength. , signal reflection coefficient and the resonant reflection coefficient at F frequency points , determine the regional signal strength of K sub-regions ; Sensitive coordinate module, used to determine the signal strength of each sub-area Resonance reflection coefficient at F frequency points , determine the resonance sensitive coordinates ; Base factor module for resonant sensitive coordinates At, get: Get the reference signal spectrum of the taxiway ; The reference signal spectrum and the resonant reflection coefficient at F frequency points Fitting process to obtain the final resonance loss factor ; The real spectrum parameter module is used to obtain the actual signal spectrum of the taxiway during the monitoring period , combined with the final resonance loss factor , calculate the signal amplitude of F frequency points and the offset value of the resonance center frequency; The abnormal result module is used to perform structural abnormality detection and communication signal abnormality detection based on the signal amplitude of F frequency points and the offset value of the resonance center frequency, and form abnormal monitoring results.

[0060] The above describes the embodiments of this embodiment, but this embodiment is not limited to the above specific implementation methods. The above specific implementation methods are merely illustrative and not restrictive. Ordinary technicians in this field can also make many forms based on the inspiration of this embodiment, all of which are protected by this embodiment.

Claims

1. A method for handling aerial operations, characterized in that: include: Step 1: Get characteristic parameters, including: lamp spacing , direct signal strength , relative dielectric constant , signal reflection coefficient and signal incident angle ; Based on the distance between lamps , relative dielectric constant and signal incident angle Calculate the resonance center frequency by combining the improved PRAM-3 model ; Step 2: By simulating the ground control communication signal, periodically sweep the frequency within the preset frequency range to obtain the resonant reflection coefficients of F frequency points within the preset frequency range. ; Step 3: Divide the taxiway into K uniform sub-areas at fixed intervals and select them based on the direct signal strength. , signal reflection coefficient and the resonant reflection coefficient at F frequency points , determine the regional signal strength of K sub-regions ; Step 4: Based on the regional signal strength of each sub-region Resonance reflection coefficient at F frequency points , determine the resonance sensitive coordinates ; Step 5: In the resonance sensitive coordinate At, get: Get the reference signal spectrum of the taxiway ; The reference signal spectrum and the resonant reflection coefficient at F frequency points Fitting process to obtain the final resonance loss factor ; Step 6: Obtain the actual signal spectrum of the taxiway during the monitoring period , combined with the final resonance loss factor , calculate the signal amplitude of F frequency points and the offset value of the resonance center frequency; Step 7: Perform structural anomaly detection and communication signal anomaly detection on the signal amplitudes of the F frequency points and the offset values ​​of the resonance center frequencies, respectively, to generate anomaly detection results.

2. The method for handling aerial operations according to claim 1, characterized in that: The improved PRAM-3 model includes direct field intensity, horizontal reflected wave field intensity, vertical reflected wave field intensity, and periodic scattered field intensity. The direct field intensity, horizontal reflected wave field intensity, vertical reflected wave field intensity, and periodic scattered field intensity are weighted and fused to form the improved PRAM-3 model. Among them, the periodic scattered field intensity represents the scattering of signals by artificial magnetic conductors generated by taxiway lighting.

3. The method for handling aerial operations according to claim 2, characterized in that: include: Based on the distance between luminaires , relative dielectric constant and signal incident angle Calculate the resonance center frequency using the PRAM-3 model ,as follows: Among them, the resonant center frequency is the first-order Bragg center frequency of the PRAM-3 model, represents the speed of light, It represents the effective refractive index, which is used to reflect the equivalent refractive characteristics of ground control communication signals propagating on the taxiway.

4. The method for handling aerial operations according to claim 3, wherein: By simulating the ground control communication signal, periodically sweeping the frequency within the preset frequency range, the resonant reflection coefficients of F frequency points within the preset frequency range are obtained. ,include: The preset frequency ranges are: , and determine F frequency points at fixed frequency intervals within the preset frequency range; Determine the resonant reflection coefficient at the fth frequency point based on the PRAM-3 model ,as follows: in, represents the imaginary unit, , Represents the preset initial resonance loss factor, Indicates the frequency of the fth frequency point.

5. The method for handling aerial operations according to claim 4, characterized in that: Based on direct signal strength , signal reflection coefficient and the resonant reflection coefficient at F frequency points , determine the regional signal strength of K sub-regions ; For the improved PRAM-3 model, the vertical reflected wave field strength of the taxiway is approximately 0; The signal reflection coefficient , direct signal strength and the resonant reflection coefficient at F frequency points They are used as the horizontal reflected wave intensity, direct field intensity and periodic scattered field intensity in the improved PRAM-3 model respectively, so as to obtain the regional signal intensity of each sub-area based on the improved PRAM-3 model. .

6. The method for handling aerial operations according to claim 5, characterized in that: Based on the regional signal strength of each sub-area Resonance reflection coefficient at F frequency points , determine the resonance sensitive coordinates ,include: in, Indicates the signal strength of sub-region k, 1≤k≤K, k is a positive integer, Represents the resonant reflection coefficient at the fth frequency point, 1≤f≤F, f is a positive integer, represents the signal strength of sub-region k Resonance reflection coefficient at frequency point f The partial derivative of Indicates that it will cause The largest k-th sub-region is used as the resonance sensitive coordinate M.

7. The method for handling aerial work according to claim 6, characterized in that: The reference signal spectrum and the resonant reflection coefficient at F frequency points Fitting process to obtain the final resonance loss factor ,include: Collect the reference signal spectrum at the resonance sensitive coordinate M ; Among them, the reference signal spectrum The reference signal frequency includes F frequency points , Indicates the reference signal frequency at the fth frequency point; By adjusting the initial resonance loss factor The value of corresponds to changing the resonant reflection coefficient of F frequency points , forming the theoretical signal spectrum , to minimize , Indicates adjustment of the initial resonance loss factor The resonant reflection coefficient of the fth frequency point is updated after taking the value of ; Minimize The corresponding initial resonance loss factor , as the final resonance loss factor .

8. The method for handling aerial work according to claim 7, characterized in that: During the monitoring period, obtain the actual signal spectrum of the taxiway , combined with the final resonance loss factor , calculate the signal amplitude of F frequency points and the offset value of the resonant center frequency, including: Based on the final resonance loss factor , get the updated resonance reflection coefficient of the fth frequency point ; Update the resonance reflection coefficient Combined with direct signal strength and signal reflection coefficient , through the improved PRAM-3 model, the reference frequency of the fth frequency point is obtained ; Extract the actual signal spectrum The actual frequency of the fth frequency point at time t ; Calculate the actual frequency and reference frequency The difference between and is used to obtain the signal amplitude at time t; The average value of the signal amplitude at each moment is taken as the signal amplitude at the fth frequency point to obtain the signal amplitude of F frequency points; Based on real-time signal spectrum Extract the resonance peak frequency at time t by the centroid method ; Calculate the resonance peak frequency and the resonant center frequency The difference between , gets the offset value at time t; The average value of the deviation values ​​at each moment is taken as the deviation value of the resonance center frequency.

9. The method for handling aerial operations according to claim 8, characterized in that: Based on the signal amplitudes at F frequency points and the offset values ​​of the resonant center frequency, structural anomaly detection and communication signal anomaly detection are performed respectively to form anomaly monitoring results, including: Based on the expert method, the signal amplitude threshold of each frequency point and the offset threshold of the resonance center frequency are set respectively; Structural anomaly detection includes: comparing the signal amplitude of each frequency point with the signal amplitude threshold of the corresponding frequency point. If the signal amplitude of any frequency point is greater than or equal to the corresponding signal amplitude threshold, a structural anomaly determination is made. The communication signal abnormality detection includes: comparing the offset value of the resonance center frequency with the offset threshold value, and if the offset value ≥ the offset threshold value, obtaining a communication signal abnormality determination.

10. An aviation operation processing system, applied to an aviation operation processing method according to any one of claims 1 to 9, characterized in that: include: Frequency calculation module, used to obtain characteristic parameters, including: lamp spacing , direct signal strength , relative dielectric constant , signal reflection coefficient and signal incident angle ; Based on the distance between lamps , relative dielectric constant and signal incident angle Calculate the resonance center frequency by combining the improved PRAM-3 model ; The frequency sweep coefficient module is used to simulate the ground control communication signal and perform periodic frequency sweep in the preset frequency range to obtain the resonant reflection coefficients of F frequency points in the preset frequency range. ; Sub-area field strength module is used to divide the taxiway into K uniform sub-areas at fixed intervals and to calculate the sub-areas based on the direct signal strength. , signal reflection coefficient and the resonant reflection coefficient at F frequency points , determine the regional signal strength of K sub-regions ; Sensitive coordinate module, used to determine the signal strength of each sub-area Resonance reflection coefficient at F frequency points , determine the resonance sensitive coordinates ; Base factor module for resonant sensitive coordinates At, get: Get the reference signal spectrum of the taxiway ; The reference signal spectrum and the resonant reflection coefficient at F frequency points Fitting process to obtain the final resonance loss factor ; The real spectrum parameter module is used to obtain the actual signal spectrum of the taxiway during the monitoring period , combined with the final resonance loss factor , calculate the signal amplitude of F frequency points and the offset value of the resonance center frequency; The abnormal result module is used to perform structural abnormality detection and communication signal abnormality detection based on the signal amplitude of F frequency points and the offset value of the resonance center frequency, and form abnormal monitoring results.

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