Unmanned aerial vehicle-based electrified inspection method and system for OPGW (Optical Fiber Composite Overhead Ground Wire) optical cable

Abstract

The invention relates to the field of optical cable dumb resource operation and maintenance, in particular to a live inspection method and system for an OPGW optical cable based on an unmanned aerial vehicle, and the method comprises the steps: obtaining the real-time optical cable data of a target optical cable, and obtaining the specific signal receiving strength received by the target optical cable; dynamically optimizing the specific signal emission intensity of the unmanned aerial vehicle according to the specific signal receiving intensity, the environmental noise parameter and the distance between the unmanned aerial vehicle and the target optical cable; when the unmanned aerial vehicle flies, the routing position point of the target optical cable and the corresponding optical cable distance are obtained according to the specific signal receiving strength, and the routing trend of the target optical cable is obtained. Compared with the prior art, the specific signal emission intensity of the unmanned aerial vehicle is dynamically adjusted by analyzing the receiving intensity of the specific signal received by the target optical cable, the environment noise parameter and the relation between the distance between the unmanned aerial vehicle and the target optical cable, so that the target optical cable can effectively receive the specific sound wave signal; therefore, the data can be effectively acquired to realize the live-line inspection of the target optical cable.

Description

Technical Field

[0001] The present invention relates to the field of optical cable dumb resource operation and maintenance, and more specifically, to a live inspection method and system for OPGW optical cables based on unmanned aerial vehicles. Background Art

[0002] As the scale of the power grid continues to expand, the number of optical fiber composite overhead ground wires (OPGW cables) is also increasing, and the corresponding inspection demand for the optical fiber composite overhead ground wires is also increasing. The optical fiber composite overhead ground wires are usually installed in the air through optical cable racks, so in the prior art, drones are usually used to conduct live inspections of the optical fiber composite overhead ground wires. However, in actual operations, due to the complex setting environment of the optical fiber composite overhead ground wires, drones will be affected by external interference during the optical cable census, resulting in low accuracy in the optical cable census. Summary of the invention

[0003] The present invention aims to overcome at least one defect (shortcoming) of the above-mentioned prior art and provide a method and system for live inspection of OPGW optical cables based on drones, which are used to effectively improve the accuracy of live inspection and route survey of OPGW optical cables.

[0004] The technical solution adopted by the present invention is:

[0005] In a first aspect, the present invention provides a live inspection method for an OPGW optical cable based on a drone, the method comprising:

[0006] Get the real-time flight path of the drone;

[0007] Acquire the real-time sound wave emission position of the UAV according to the real-time flight path;

[0008] Acquiring real-time optical cable data of the target optical cable corresponding to the real-time acoustic wave emission position;

[0009] From the real-time optical cable data, a specific signal reception intensity of a specific acoustic wave signal received by the target optical cable corresponding to the real-time acoustic wave emission position is obtained; the specific acoustic wave signal is an acoustic wave signal of a specific signal emission intensity emitted by the UAV at the real-time acoustic wave emission position;

[0010] Collecting environmental noise parameters of the UAV at the real-time sound wave emission position, and collecting the real-time distance between the UAV and the target optical cable; the environmental noise parameters at least include environmental noise intensity and environmental noise frequency;

[0011] According to the real-time sound wave emission position and the corresponding specific signal reception strength, or the routing position point of the target optical cable;

[0012] According to the routing position point of the target optical cable and the corresponding real-time optical cable data, obtaining the optical cable distance of the routing position point corresponding to the target optical cable;

[0013] Obtaining the routing direction of the target optical cable according to the routing position point and the corresponding optical cable distance;

[0014] The specific signal transmission strength is dynamically adjusted according to the corresponding specific signal reception strength, environmental noise parameters and the real-time distance between the UAV and the target optical cable.

[0015] By controlling the drone to emit the specific sound wave signal at the real-time sound wave emission position during flight, and obtaining the real-time optical cable data of the target optical cable corresponding to the real-time sound wave emission position, the specific sound wave signal can be extracted from the real-time optical cable data. Usually, the drone will inspect the optical cable at a certain distance above the optical cable, so that the specific sound wave signal emitted by the drone is interfered by the environment, which will cause the specific signal receiving intensity of the specific sound wave signal received by the target optical cable to be too low, affecting the live inspection of the target optical cable. Therefore, during the flight of the drone, according to the corresponding specific signal receiving intensity, environmental noise intensity and the real-time distance between the drone and the target optical cable, the specific signal emission intensity of the specific sound wave signal is dynamically adjusted to ensure that the specific sound wave signal emitted by the drone can be effectively received by the target optical cable during flight, thereby generating effective optical cable data to achieve the route survey and live inspection of the target optical cable.

[0016] Furthermore, the specific signal transmission strength is dynamically adjusted according to the corresponding specific signal reception strength, the environmental noise parameter and the real-time distance between the UAV and the target optical cable, specifically including:

[0017] Determining whether the ambient noise intensity is greater than a preset noise threshold;

[0018] If the environmental noise intensity is greater than the preset noise threshold, the specific signal reception intensity, the environmental noise parameter and the real-time distance between the UAV and the target optical cable are input into a pre-trained real-time acoustic wave adjustment model, and the real-time acoustic wave adjustment model is used to output a predicted signal emission intensity;

[0019] A parameter update instruction is transmitted to the drone according to the predicted signal transmission strength, so that the drone updates the specific signal transmission strength according to the predicted signal transmission strength.

[0020] By utilizing the real-time sound wave adjustment model obtained based on neural network pre-training, the specific signal emission intensity required for the specific sound wave signal under the corresponding external environmental interference can be quickly and effectively obtained based on the potential relationship between the specific signal reception intensity, the environmental noise intensity and the real-time distance between the UAV and the target optical cable.

[0021] Furthermore, the real-time sound wave adjustment model is constructed according to the signal strength adjustment formula; the real-time sound wave adjustment model is trained with the maximum actual sound wave signal-to-noise ratio as the optimization target, and is optimized by minimizing the error function to calculate the difference between the target sound wave signal-to-noise ratio and the actual sound wave signal-to-noise ratio;

[0022] The actual acoustic wave signal-to-noise ratio is expressed as:

[0023]

[0024] Where P signal Indicates the specific signal receiving strength, P noise Indicates the intensity of ambient noise;

[0025] The signal strength adjustment formula is expressed as:

[0026]

[0027] Where P max is the maximum value of the acoustic signal that the drone can emit, D is the real-time distance between the drone and the target optical cable, k is the path loss factor, and the path loss factor is determined according to the environment of the drone and the optical cable characteristics of the target optical cable; P is the predicted signal emission intensity; SNR target Indicates the preset target signal reception strength.

[0028] Furthermore, the method also includes dynamically adjusting the specific sound wave frequency of the specific sound wave signal according to the specific signal reception strength, environmental noise parameters and the real-time distance between the UAV and the target optical cable.

[0029] In addition to affecting the specific signal reception strength of the specific sound wave signal received by the target optical cable, environmental interference will also affect the specific frequency of the specific sound wave signal. When the specific frequency of the specific sound wave signal overlaps with the frequency band of environmental noise, it will be affected by the interference of environmental noise. Therefore, the specific sound wave frequency of the specific sound wave signal is dynamically adjusted according to the specific signal reception strength, environmental noise intensity and the real-time distance between the drone and the target optical cable, thereby effectively avoiding the environmental noise frequency band, improving the quality of the specific sound wave signal received by the target optical cable, and effectively realizing the live inspection of the target optical cable.

[0030] Furthermore, the specific sound wave frequency of the specific sound wave signal is dynamically adjusted according to the specific signal reception strength, environmental noise parameters and the real-time distance between the UAV and the target optical cable, specifically including:

[0031] Determining whether the specific signal reception strength is lower than a preset signal strength;

[0032] If the specific signal reception strength is lower than the preset signal strength, the specific signal reception strength, the environmental noise parameter and the real-time distance between the UAV and the target optical cable are input into a pre-trained real-time sound wave adjustment model, and the real-time sound wave adjustment model is used to output a predicted sound wave frequency;

[0033] A parameter update instruction is transmitted to the drone according to the predicted sound wave frequency, so that the drone updates the specific sound wave frequency according to the predicted sound wave frequency.

[0034] Furthermore, the real-time sound wave adjustment model is constructed according to the frequency adjustment formula, with minLoss(P noise (f)) Training for optimization objectives;

[0035] The minLo(P noise (f)) represents the minimum ambient noise intensity at the predicted sound wave frequency f;

[0036] The frequency adjustment formula is expressed as:

[0037] f=f base +Δf

[0038] In the formula, f base is the basic transmission frequency of the specific sound wave signal, △f is the frequency offset, which is predicted by the real-time sound wave adjustment model according to the distribution of the ambient noise frequency; f is the predicted sound wave frequency.

[0039] Further, the obtaining of the routing position of the target optical cable according to the real-time acoustic wave emission position and the corresponding specific signal reception strength specifically includes:

[0040] According to the specific signal receiving strength corresponding to each of the real-time sound wave emission positions, a signal peak position point is obtained; the signal peak position point is the real-time sound wave emission position corresponding to the change trend of the specific signal receiving strength from enhancement to weakening;

[0041] The signal peak position point is used as the routing position point of the target optical cable.

[0042] When the UAV approaches the target optical cable, the receiving strength of the specific signal received by the target optical cable gradually increases. When the UAV moves away from the target optical cable, the receiving strength of the specific signal received by the target optical cable gradually decreases. Therefore, by obtaining the signal peak position point, the routing position point closest to the target optical cable in each position area during the flight of the UAV can be obtained.

[0043] Further, obtaining the signal peak position point according to the specific signal reception strength corresponding to each of the real-time sound wave emission positions specifically includes:

[0044] Screening the specific signal reception strengths to obtain the specific signal reception strengths exceeding a preset specific strength;

[0045] The signal peak position point is obtained according to the specific signal reception strength exceeding the preset specific strength.

[0046] In order to effectively obtain the change of the specific signal reception strength and reduce the amount of calculation, a preset specific strength is set according to the overall situation of the specific signal reception strength to filter the collected specific signal reception strength.

[0047] Furthermore, the real-time flight path is dynamically optimized according to the specific signal reception strength and the real-time ambient wind speed during the flight of the UAV.

[0048] By dynamically optimizing the real-time flight path, the UAV can better adjust the real-time flight path of the UAV, thereby better realizing the live inspection of the target optical cable.

[0049] In a second aspect of the present invention, a live inspection system for OPGW optical cables based on a drone is provided, the system comprising:

[0050] Optical cable inspection and analysis equipment, used to connect to the target optical cable;

[0051] A drone, wherein the drone is equipped with an optical cable identifier, and the optical cable identifier is used to emit a specific sound wave signal;

[0052] The terminal platform is used to implement the above-mentioned live inspection method of OPGW optical cable based on drone.

[0053] According to a third aspect of the present invention, there is provided a live inspection device for OPGW optical cables based on a drone, the device comprising:

[0054] Path acquisition module, used to obtain the real-time flight path of the drone;

[0055] An acoustic wave acquisition module, used to acquire the real-time acoustic wave emission position of the UAV according to the real-time flight path;

[0056] A data acquisition module, used to acquire real-time optical cable data of the target optical cable corresponding to the real-time acoustic wave emission position;

[0057] A signal detection module, used for obtaining, from the real-time optical cable data, a specific signal reception strength of a specific sound wave signal received by the target optical cable corresponding to the real-time sound wave emission position; the specific sound wave signal is a sound wave signal emitted by the drone at the real-time sound wave emission position;

[0058] An environment acquisition module, used to acquire the environment noise parameters of the UAV at the real-time sound wave emission position, and acquire the real-time distance between the UAV and the target optical cable; the environment noise parameters at least include the environment noise intensity and the environment noise frequency;

[0059] A position acquisition module, used to acquire the routing position point of the target optical cable according to the real-time sound wave emission position and the corresponding specific signal reception strength;

[0060] A distance acquisition module, used for acquiring the optical cable distance corresponding to the target optical cable at the routing position point according to the routing position point of the target optical cable and the corresponding real-time optical cable data;

[0061] A routing acquisition module, used for acquiring the routing direction of the target optical cable according to the routing position point and the corresponding optical cable distance;

[0062] The parameter adjustment module is used to dynamically adjust the corresponding specific signal transmission intensity according to the specific signal reception intensity, environmental noise parameters and the real-time distance between the UAV and the target optical cable.

[0063] Compared with the prior art, the present invention has the following beneficial effects:

[0064] 1. The present invention controls the unmanned aerial vehicle to transmit the specific acoustic wave signal at the real-time acoustic wave transmitting position during flight, and obtains the real-time optical cable data of the target optical cable corresponding to the real-time acoustic wave transmitting position, so that the specific acoustic wave signal can be extracted from the real-time optical cable data; and during the flight of the unmanned aerial vehicle, the specific signal transmitting intensity of the specific acoustic wave signal is dynamically adjusted according to the corresponding specific signal receiving intensity, environmental noise parameters and the real-time distance between the unmanned aerial vehicle and the target optical cable, so as to ensure that the specific acoustic wave signal transmitted by the unmanned aerial vehicle can be effectively received by the target optical cable during flight, thereby generating effective optical cable data, so as to realize the route census and live inspection of the target optical cable.

[0065] 2. The present invention also dynamically adjusts the specific sound wave frequency of the specific sound wave signal according to the corresponding specific signal reception strength, environmental noise parameters and the real-time distance between the UAV and the target optical cable, so that the UAV can dynamically avoid the frequency band of environmental noise, thereby further improving the accuracy of the live inspection and route survey of the target optical cable.

[0066] 3. The present invention uses a neural network to pre-train the real-time sound wave adjustment model according to the signal strength adjustment formula and the frequency adjustment formula, and uses the real-time sound wave adjustment model to obtain the connection relationship in the environmental impact to adjust the specific signal emission intensity and the specific sound wave frequency of the specific sound wave signal, thereby more accurately realizing the live inspection and route survey of the target optical cable. BRIEF DESCRIPTION OF THE DRAWINGS

[0067] Figure 1 It is a flow chart of the steps of the live inspection method of the present invention.

[0068] Figure 2 A flow chart of the steps for dynamic optimization of specific signal emission intensity of the present invention.

[0069] Figure 3 A flow chart of the steps for dynamic optimization of a specific sound wave frequency according to the present invention.

[0070] Figure 4 The present invention is a flowchart of the steps of dynamically optimizing the specific signal emission intensity and the specific sound wave frequency.

[0071] Figure 5 A flow chart of the steps for obtaining a routing location point of the present invention.

[0072] Figure 6 A flow chart of the steps for obtaining the target optical cable of the present invention.

[0073] Figure 7It is a system structure diagram of the live inspection system of the present invention.

[0074] Figure 8 It is a device structure diagram of the live inspection device of the present invention.

[0075] Fig. 9 It is a device structure diagram of the electronic device of the present invention.

[0076] The accompanying drawings are marked with: optical cable patrol analysis equipment 11, drone 12, optical cable identifier 13, terminal platform 14, path acquisition module 21, sound wave acquisition module 22, data acquisition module 23, signal detection module 24, environment acquisition module 25, position acquisition module 26, distance acquisition module 27, route acquisition module 28, parameter adjustment module 29, memory 31, processor 32, bus 33, communication interface 34. DETAILED DESCRIPTION

[0077] The drawings of the present invention are only for illustrative purposes and should not be construed as limiting the present invention. In order to better illustrate the following embodiments, some parts of the drawings may be omitted, enlarged or reduced, and do not represent the size of the actual product; it is understandable to those skilled in the art that some well-known structures and their descriptions in the drawings may be omitted.

[0078] Example 1

[0079] As the scale of the power grid continues to expand, the number of optical fiber composite overhead ground wires (OPGW optical cables) is also increasing, and the corresponding inspection needs of the optical fiber composite overhead ground wires are also increasing. The optical fiber composite overhead ground wires are usually installed in the air through optical cable racks. It is difficult to achieve a census of the optical fiber composite overhead ground wires using conventional optical cable inspection methods, so the optical fiber composite overhead ground wires are usually inspected live by drones 12. The live inspection of the optical fiber composite overhead ground wires mainly includes conducting a route census of the optical fiber composite overhead ground wires without power failure, specifically using drones 12 to send acoustic wave signals to the optical fiber composite overhead ground wires, and recording the position of the drone 12 when the acoustic wave signal is received to achieve a route census of the optical fiber composite overhead ground wires.

[0080] However, in actual operation, since the main setting environment of the fiber-optic composite overhead ground wire is the city and is constrained by conditions such as buildings, the drone 12 will be interfered and blocked by the outside world during the optical cable survey, and will be further interfered by various environmental factors, making it difficult for the target optical cable to receive the sound wave signal emitted by the drone 12, thereby reducing the efficiency of live inspection.

[0081] In order to solve the above problems in the prior art, Figure 1As shown, this embodiment provides a live inspection method for OPGW optical cables based on a drone 12, and the method may specifically include:

[0082] S1: Obtain the real-time flight path of the UAV 12;

[0083] In this embodiment, the real-time flight path is the real-time route of the live inspection flight of the drone 12. It is understandable that in order to better realize the live inspection of the target optical cable, in a preferred implementation of this embodiment, the real-time flight path can be dynamically optimized. By dynamically optimizing the real-time flight path, the drone 12 can fly along the target optical cable while flying according to the real-time flight path, thereby accurately realizing the live inspection of the target optical cable. In this embodiment, the target optical cable is the optical fiber composite overhead ground wire, that is, the OPGW optical cable.

[0084] In this embodiment, the drone 12 can perform automatic cruising and positioning, so that the drone 12 can maintain the relative position and height with the target optical cable as much as possible. Specifically, the relative height between the drone 12 and the target optical cable is 0.5 to 1m, and the relative height is avoided from dropping or rising suddenly during the flight. Preferably, the drone 12 also has good wind resistance and flight stability, and uses attitude control algorithms and multi-sensor fusion technology to ensure that the drone 12 can fly stably under different environmental conditions; in addition, the drone 12 also has good load-bearing and endurance capabilities, so that the drone 12 can carry certain instruments and equipment to achieve various functions.

[0085] S2: Acquire the real-time sound wave emission position of the UAV 12 according to the real-time flight path;

[0086] In this embodiment, the real-time sound wave emission position is included in the real-time flight path. The real-time sound wave emission position is the position where the drone 12 emits a specific sound wave signal on the real-time flight path; correspondingly, the specific sound wave signal is the sound wave signal emitted by the drone 12 at the real-time sound wave emission position.

[0087] In this embodiment, the drone 12 is equipped with an optical cable identifier 13, and the drone 12 can generate a sound wave signal of a specific frequency through the optical cable identifier 13, and transmit it at a certain transmission time interval. The specific frequency is usually a high-frequency square wave signal to ensure that the propagation of the specific sound wave signal in the target optical cable can effectively generate vibration.

[0088] Specifically, the drone 12 will continue to fly according to the real-time flight path, but when it flies to the real-time sound wave emission position, the drone 12 will hover at the real-time sound wave emission position and emit the specific sound wave signal. After the specific sound wave signal is emitted, the drone 12 continues to fly according to the real-time flight path until the next real-time sound wave emission position. It can be understood that the real-time sound wave emission position is set according to the emission time interval of the specific sound wave signal, so the real-time sound wave emission position can be adjusted by adjusting the emission time interval of the specific sound wave signal.

[0089] S3: Acquiring real-time optical cable data of the target optical cable corresponding to the real-time acoustic wave emission position;

[0090] In this embodiment, the target optical cable is connected to the optical cable line inspection and analysis device 11, and the optical cable line inspection and analysis device 11 is equipped with a Φ-OTDR system, so that the optical cable line inspection and analysis device 11 can collect signals in the target optical cable, perform real-time analysis and processing on the signals, obtain the real-time optical cable data in the target optical cable, and then extract various status information on the target optical cable from the real-time optical cable data.

[0091] Specifically, the optical cable line inspection and analysis device 11 emits a pulsed laser into the target optical cable, obtains real-time optical cable data in the target optical cable, extracts the Rayleigh scattering signal from the real-time optical cable data, and uses Φ-OTDR technology to perform precise calculations based on the phase change of the Rayleigh scattering signal, thereby reconstructing the propagation path of the specific acoustic wave signal, and identifying the position and state of the specific acoustic wave signal received by the target optical cable.

[0092] S4: acquiring, from the real-time optical cable data, a specific signal receiving strength of a specific sound wave signal received by the target optical cable corresponding to the real-time sound wave transmitting position;

[0093] As described above, after the specific acoustic wave signal is emitted, it acts on the target optical cable and diffuses evenly along the length of the optical fiber in the target optical cable, causing the optical fiber to produce a tiny mechanical vibration, thereby causing the refractive index of the optical fiber to change slightly, causing the propagation characteristics of the light in the optical fiber to be affected, forming a Rayleigh scattering signal, which is finally reflected in the real-time optical cable data of the target optical cable. Therefore, the specific signal reception intensity of the specific acoustic wave signal received by the target optical cable at each time point can be obtained from the real-time optical cable data, and the position where the target optical cable receives the specific acoustic wave signal can also be obtained.

[0094] It is understandable that the specific signal emission intensity of the specific sound wave signal emitted by the drone 12 is determined, but the specific signal reception intensity of the specific sound wave signal received by the target optical cable will change with the relationship between the drone 12 and the target optical cable, as well as environmental interference. The live inspection of the drone 12 utilizes the automatic cruise function of the drone 12 to make the drone 12 fly above the optical cable to be inspected and in a horizontal area at a relative height from the optical cable, wherein when the drone 12 is directly above the optical cable to be inspected, or close to directly above the inspection optical cable, the specific signal reception intensity of the specific sound wave signal received by the optical cable to be inspected is the strongest.

[0095] Therefore, in theory, if the drone 12 flies in the direction where the specific sound wave signal is the strongest, it means that the drone 12 is flying directly above the target optical cable, that is, it can directly find the routing direction of the target optical cable. However, during the actual flight of the drone 12, due to the interference of the environment, the reception strength of the specific signal received by the target optical cable is not stable, and the routing position of the target optical cable cannot be accurately obtained. Therefore, when conducting live inspections, it is necessary to dynamically adjust and optimize the parameters of the specific sound wave signal emitted by the drone 12 according to the environmental conditions of the drone 12.

[0096] S5: collecting environmental noise parameters of the drone 12 at the real-time sound wave emission position, and collecting the real-time distance between the drone 12 and the target optical cable;

[0097] In this embodiment, the environmental noise parameters include at least environmental noise intensity and environmental noise frequency;

[0098] As described above, after the specific sound wave signal is emitted, it will be disturbed by environmental factors, and these environmental factors can be analyzed and obtained through the environmental noise parameters and the corresponding real-time distance between the drone 12 and the target optical cable. Therefore, in this embodiment, by collecting the environmental noise parameters of each real-time sound wave emission position and the corresponding real-time distance between the drone 12 and the target optical cable during the flight of the drone 12, the environmental conditions of the real-time sound wave emission position are analyzed in real time, thereby realizing the dynamic optimization adjustment of the specific sound wave signal.

[0099] In a specific implementation of this embodiment, in order to better perform live inspection of the target optical cable, the specific signal receiving strength of the specific sound wave signal received on the target optical cable must meet certain strength requirements. Therefore, it is necessary to dynamically adjust the specific signal transmission intensity based on the corresponding specific signal receiving strength, environmental noise parameters and the real-time distance between the drone 12 and the target optical cable.

[0100] Specifically, Figure 2 As shown, the dynamic adjustment of the specific signal transmission strength may specifically include:

[0101] A1: Determine whether the ambient noise intensity is greater than a preset noise threshold;

[0102] In order to improve the signal-to-noise ratio and ensure the receiving strength of the specific signal received by the target optical cable, a preset noise threshold is set. When the ambient noise intensity exceeds the preset noise threshold, it means that the signal-to-noise ratio of the target optical cable is small and cannot meet the needs of data analysis and processing. At this time, it is necessary to adjust the specific signal emission intensity of the specific sound wave signal.

[0103] A2: If the environmental noise intensity is greater than the preset noise threshold, the specific signal reception intensity, the environmental noise parameter and the real-time distance between the UAV 12 and the target optical cable are input into a pre-trained real-time acoustic wave adjustment model, and the real-time acoustic wave adjustment model outputs a predicted signal transmission intensity;

[0104] Since the influence of environmental factors is very complex, the results obtained by optimization through manual calculation may not be accurate, which will affect the accuracy of the live inspection of the target optical cable. Therefore, in this embodiment, a neural network is used to pre-train a real-time sound wave adjustment model. Through the real-time sound wave adjustment model, the influence of environmental interference is analyzed according to the input specific signal reception strength, the environmental noise parameters and the real-time distance between the UAV 12 and the target optical cable, and the optimal specific signal transmission intensity is predicted.

[0105] Specifically, the real-time sound wave adjustment model is constructed according to the signal strength adjustment formula; the real-time sound wave adjustment model is trained with the maximum actual sound wave signal-to-noise ratio as the optimization target, and is optimized by minimizing the error function to calculate the difference between the target sound wave signal-to-noise ratio and the actual sound wave signal-to-noise ratio;

[0106] Wherein, the actual acoustic wave signal-to-noise ratio is expressed as:

[0107]

[0108] Where P signal Indicates the specific signal receiving strength, Pnoise Indicates the intensity of ambient noise;

[0109] The signal strength adjustment formula is expressed as:

[0110]

[0111] Where P max is the maximum value of the acoustic signal that the drone 12 can emit, D is the real-time distance between the drone 12 and the target optical cable, k is the path loss factor, and the path loss factor is determined according to the environment of the drone 12 and the optical cable characteristics of the target optical cable; P is the predicted signal emission intensity; SNR target Indicates the preset target signal reception strength.

[0112] A3: transmitting a parameter update instruction to the drone 12 according to the predicted signal emission strength, so that the drone 12 updates the specific signal emission strength according to the predicted signal emission strength.

[0113] In another specific implementation of this embodiment, the environmental noise will have a certain frequency band. When the specific sound wave frequency of the specific sound wave signal emitted by the drone 12 falls into the frequency band of the environmental noise, the specific sound wave signal will be seriously interfered by the environmental noise, causing the signal-to-noise ratio of the specific sound wave signal received on the target optical cable to be reduced, thereby reducing the accuracy of the live inspection of the target optical cable. Therefore, it is necessary to dynamically adjust the specific sound wave frequency to prevent the specific sound wave frequency from falling into the frequency band of the environmental noise.

[0114] Specifically, Figure 3 As shown, the dynamic adjustment of the specific sound wave frequency may specifically include:

[0115] B1: Determine whether the specific signal reception strength is lower than a preset signal strength;

[0116] As mentioned above, if the specific sound wave frequency falls into the frequency band of ambient noise, even if the ambient noise intensity is not very high, the specific sound wave signal will be seriously interfered with by the ambient noise. Therefore, the specific signal receiving strength is judged by setting a preset signal strength. When the specific signal receiving strength is lower than the preset signal strength, it means that the specific sound wave signal is seriously interfered with by the ambient noise.

[0117] B2: If the specific signal reception strength is lower than the preset signal strength, the specific signal reception strength, the environmental noise parameter and the real-time distance between the drone 12 and the target optical cable are input into a pre-trained real-time sound wave adjustment model, and the real-time sound wave adjustment model outputs a predicted sound wave frequency;

[0118] Since the environmental noise situation is complicated, in this embodiment, a neural network is used to pre-train a real-time sound wave adjustment model. Through the real-time sound wave adjustment model, the frequency band of the environmental noise is analyzed and predicted according to the input specific signal reception strength, the environmental noise parameters and the real-time distance between the UAV 12 and the target optical cable, and then the optimal specific sound wave frequency that needs to be emitted by the specific sound wave signal is predicted.

[0119] Specifically, the real-time sound wave adjustment model is constructed according to the frequency adjustment formula, with minLoss(P noise (f)) is trained for optimization purposes; the real-time sound wave adjustment model can be trained by supervised learning.

[0120] Among them, minLoss() represents the loss function minimized in the current optimization process, which is used to measure whether the optimization goal is achieved; therefore, the minLoss(P noise (f)) represents the minimum ambient noise intensity at the predicted sound wave frequency f;

[0121] The frequency adjustment formula is expressed as:

[0122] f=f base +Δf

[0123] In the formula, f base is the basic transmission frequency of the specific sound wave signal, △f is the frequency offset, which is predicted by the real-time sound wave adjustment model according to the distribution of the ambient noise frequency; f is the predicted sound wave frequency.

[0124] B3: transmitting a parameter update instruction to the drone 12 according to the predicted sound wave frequency, so that the drone 12 updates the specific sound wave frequency according to the predicted sound wave frequency.

[0125] In a preferred implementation of this embodiment, in order to better ensure the live inspection of the target optical cable, the above two implementations can be combined, that is, the specific signal emission intensity and the specific sound wave frequency of the specific sound wave signal are dynamically adjusted according to the specific signal reception strength, environmental noise parameters and the real-time distance between the drone 12 and the target optical cable.

[0126] Specifically, Figure 4 As shown, the dynamic adjustment of the specific signal emission intensity and the specific sound wave frequency may specifically include:

[0127] C1: determining whether the ambient noise intensity is greater than a preset noise threshold, and / or determining whether the specific signal reception intensity is lower than a preset signal intensity;

[0128] C2: If the environmental noise intensity is greater than the preset noise threshold, and / or the specific signal reception intensity is lower than the preset signal intensity, the specific signal reception intensity, the environmental noise parameter and the real-time distance between the UAV 12 and the target optical cable are input into a pre-trained real-time acoustic wave adjustment model, and the real-time acoustic wave adjustment model outputs a predicted signal emission intensity and a predicted acoustic wave frequency;

[0129] C3: transmitting a parameter update instruction to the drone 12 according to the predicted signal emission intensity and the predicted sound wave frequency, so that the drone 12 updates the specific signal emission intensity and the specific sound wave frequency according to the predicted signal emission intensity.

[0130] It can be understood that the real-time sound wave adjustment model is constructed according to the signal strength adjustment formula and the frequency adjustment formula, with the maximum sound wave signal-to-noise ratio and minLoss (P noise (f)) is trained to optimize the objective.

[0131] S6: according to the real-time sound wave emission position and the corresponding specific signal reception strength, or the routing position point of the target optical cable;

[0132] In this embodiment, if Figure 5 As shown, the specific steps of obtaining the target optical cable routing location point may include:

[0133] S61: acquiring a signal peak position point according to the specific signal reception strength corresponding to each of the real-time sound wave emission positions;

[0134] As described above, in this embodiment, the real-time optical cable data in the target optical cable can be analyzed to obtain the specific signal reception strength of the specific sound wave signal received by the target optical cable at each time point; at the same time, the real-time sound wave emission position of the drone 12 at each time point can also be obtained, and then the real-time sound wave emission positions of the drone 12 are associated with the specific signal reception strength, and then the change of the specific signal reception strength during the flight of the drone 12 is obtained.

[0135] Specifically, in the present embodiment, the signal peak position point is the real-time sound wave emission position corresponding to the change trend of the specific signal reception strength from enhancement to weakening; as mentioned above, when the specific signal reception strength weakens, it indicates that the UAV 12 has deviated from the routing direction of the target optical cable. It can be understood that when the change trend of the specific signal reception strength changes, that is, the turning point from enhancement to weakening, the specific signal reception strength corresponding to the turning point is the largest, so the real-time sound wave emission position corresponding to the turning point is closest to the routing direction of the target optical cable.

[0136] S62: Using the signal peak position point as the routing position point of the target optical cable.

[0137] As described above, the signal peak position point is located in the routing direction of the target optical cable, so using the signal peak position point as the routing position point can more conveniently and directly obtain the routing situation of the target optical cable.

[0138] In a preferred embodiment, before obtaining the signal peak position point according to the specific signal reception strength, the specific signal reception strength is further screened to obtain the specific signal reception strength exceeding the preset specific strength; then the signal peak position point is obtained according to the specific signal reception strength exceeding the preset specific strength. The preset specific strength is set according to the overall situation of the specific signal reception strength, and is used to screen the specific signal reception strength, reduce the number of the real-time sound wave emission positions used to obtain the routing position point, and improve the calculation efficiency of the routing position point.

[0139] S7: acquiring the optical cable distance of the routing position point corresponding to the target optical cable according to the routing position point of the target optical cable and the corresponding real-time optical cable data;

[0140] In this embodiment, the routing position point is associated with the real-time acoustic wave emission position, and then the position where the specific acoustic wave signal acts on the target optical cable, that is, the optical cable distance of the target optical cable, can be obtained from the corresponding real-time optical cable data through Φ-OTDR technology according to the time point of the real-time acoustic wave emission position, thereby realizing the association between the routing position point and the optical cable distance.

[0141] S8: Obtaining the routing direction of the target optical cable according to the routing position point and the corresponding optical cable distance;

[0142] Specifically, after the routing position points are associated with the optical cable distances, all the routing position points can be fitted and connected in series according to the corresponding associated optical cable distances, and the final fitted line is the routing direction of the target optical cable.

[0143] As described above, in a preferred real-time mode of this embodiment, the real-time flight path of the drone 12 can be dynamically optimized, the purpose of which is to reduce the flight time of the drone 12 and improve the efficiency of the live inspection of the target optical cable. The dynamic optimization of the real-time flight path is to enable the drone 12 to fly along the routing direction of the target optical cable as much as possible. As described above, when the drone 12 is close to the target optical cable, the specific signal receiving strength received by the target optical cable increases, and when the drone 12 is away from the target optical cable, the specific signal receiving strength decreases. Therefore, in this embodiment, the real-time flight path can be dynamically adjusted according to the specific signal receiving strength.

[0144] At the same time, since the live inspection of the optical cable is a long-duration task, and in this embodiment, the UAV 12 is equipped with the optical cable identifier 13, which increases a certain weight, thereby reducing the endurance of the UAV 12. Therefore, the UAV 12 needs to ensure stable flight as much as possible during the flight to reduce the extra power consumption during the flight. Among them, an important factor affecting the stable flight of the UAV 12 is the wind speed in the flight environment of the UAV 12. Therefore, in this embodiment, the real-time environmental wind speed of the UAV 12 at the real-time sound wave emission position is obtained, and then the real-time flight path of the UAV 12 can be adjusted according to the environmental wind speed, and the path that will increase the flight power consumption of the UAV 12, such as flying against the wind, is minimized, thereby improving the endurance of the UAV 12.

[0145] Furthermore, when there are multiple optical cables on the flight path of the drone 12, the other optical cables will have a certain impact on the live inspection of the target optical cable. Therefore, in the actual operation process, it is necessary to first determine the target optical cable from the multiple optical cables, such as Figure 6 As shown, the determination of the target optical cable may specifically include:

[0146] D1: Obtaining a corresponding detection sound wave emission position according to each optical cable to be detected within a preset starting range; the detection sound wave emission position is directly above the corresponding optical cable to be detected and is at a preset flight distance from the optical cable to be detected;

[0147] Similar to the specific sound wave signal, the detection sound wave signal is a sound wave signal of a certain frequency emitted by the optical cable identifier 13 carried by the drone 12, so that the signal status of the detection sound wave signal received by the target optical cable can be easily obtained from the real-time optical cable data.

[0148] D2: sending a target detection instruction to the drone 12 according to the preset detection intensity and the detection sound wave emission position, so that the drone 12 emits a detection sound wave signal of the preset detection intensity at each of the detection sound wave emission positions according to the target detection instruction;

[0149] D3: Compare the detection signal strength with the preset detection strength, and determine the target optical cable from the optical cables to be detected according to the comparison result.

[0150] Since the drone 12 emits the detection sound wave signal directly above each of the optical cables to be detected, and only the target optical cable is connected to the optical cable line inspection analysis device 11, only the real-time optical cable data in the target optical cable can be obtained. Therefore, when the detection sound wave signal is emitted directly above the target optical cable, the detection sound wave signal can be obtained from the real-time optical cable data. Conversely, when the detection sound wave signal is emitted directly above other optical cables to be detected outside the target optical cable, the detection sound wave signal cannot be obtained in the real-time optical cable data, or the detection sound wave signal can be obtained, but the detection signal intensity is smaller than the preset detection intensity. Therefore, the target optical cable can be determined based on the comparison result of the detection signal intensity and the preset detection intensity, thereby improving the efficiency of the live inspection of the target optical cable.

[0151] It should be noted that the preset starting position can be a certain area range of the starting point of the real-time flight path of the drone 12, or it can be a certain area range of any real-time sound wave emission position on the real-time flight path of the drone 12. Regardless of which of the above situations, the purpose is to enable the drone 12 to better fly along the routing direction of the target optical cable in the future.

[0152] Example 2

[0153] Based on the same inventive concept as in Example 1, Figure 7 As shown, this embodiment provides a live inspection system for OPGW optical cables based on a drone 12, and the system may include:

[0154] The optical cable line inspection and analysis device 11 is used to connect to the target optical cable; in this embodiment, the target optical cable is the optical fiber composite overhead ground wire, that is, the OPGW optical cable.

[0155] The drone 12 is equipped with an optical cable identifier 13, and the optical cable identifier 13 is used to emit a specific sound wave signal. In a preferred implementation of the present embodiment, the optical cable identifier can be externally mounted on the drone 12. In another preferred implementation, the optical cable identifier can be integrated into the drone 12.

[0156] The terminal platform 14 is respectively connected to the optical cable line inspection analysis device 11 and the drone 12 for communication, and is used to implement the live inspection method of the OPGW optical cable based on the drone 12 described in Example 1.

[0157] Example 3

[0158] Based on the same inventive concept as in Example 1, Figure 8 As shown, this embodiment provides a live inspection device for OPGW optical cables based on a drone 12, and the device may include:

[0159] A path acquisition module 21 is used to acquire the real-time flight path of the UAV 12;

[0160] In this embodiment, the real-time flight path is the real-time route of the live inspection flight of the drone 12. It is understandable that in order to better realize the live inspection of the target optical cable, in a preferred implementation of this embodiment, the real-time flight path can be dynamically optimized. By dynamically optimizing the real-time flight path, the drone 12 can fly along the target optical cable while flying according to the real-time flight path, thereby accurately realizing the live inspection of the target optical cable. In this embodiment, the target optical cable is the optical fiber composite overhead ground wire, that is, the OPGW optical cable.

[0161] In this embodiment, the drone 12 can perform automatic cruising and positioning, so that the drone 12 can maintain the relative position and height with the target optical cable as much as possible. Specifically, the relative height between the drone 12 and the target optical cable is 0.5 to 1m, and the relative height is avoided from dropping or rising suddenly during the flight. Preferably, the drone 12 also has good wind resistance and flight stability, and uses attitude control algorithms and multi-sensor fusion technology to ensure that the drone 12 can fly stably under different environmental conditions; in addition, the drone 12 also has good load-bearing and endurance capabilities, so that the drone 12 can carry certain instruments and equipment to achieve various functions.

[0162] The sound wave acquisition module 22 is used to acquire the real-time sound wave emission position of the UAV 12 according to the real-time flight path;

[0163] In this embodiment, the real-time sound wave emission position is included in the real-time flight path. The real-time sound wave emission position is the position where the drone 12 emits a specific sound wave signal on the real-time flight path; correspondingly, the specific sound wave signal is the sound wave signal emitted by the drone 12 at the real-time sound wave emission position.

[0164] In this embodiment, the drone 12 is equipped with an optical cable identifier 13, and the drone 12 can generate a sound wave signal of a specific frequency through the optical cable identifier 13, and transmit it at a certain transmission time interval. The specific frequency is usually a high-frequency square wave signal to ensure that the propagation of the specific sound wave signal in the target optical cable can effectively generate vibration.

[0165] Specifically, the drone 12 will continue to fly according to the real-time flight path, but when it flies to the real-time sound wave emission position, the drone 12 will hover at the real-time sound wave emission position and emit the specific sound wave signal. After the specific sound wave signal is emitted, the drone 12 continues to fly according to the real-time flight path until the next real-time sound wave emission position. It can be understood that the real-time sound wave emission position is set according to the emission time interval of the specific sound wave signal, so the real-time sound wave emission position can be adjusted by adjusting the emission time interval of the specific sound wave signal.

[0166] A data acquisition module 23 is used to acquire real-time optical cable data of the target optical cable corresponding to the real-time acoustic wave emission position;

[0167] In this embodiment, the target optical cable is connected to the optical cable line inspection and analysis device 11, and the optical cable line inspection and analysis device 11 is equipped with a Φ-OTDR system, so that the optical cable line inspection and analysis device 11 can collect signals in the target optical cable, perform real-time analysis and processing on the signals, obtain the real-time optical cable data in the target optical cable, and then extract various status information on the target optical cable from the real-time optical cable data.

[0168] Specifically, the optical cable line inspection and analysis device 11 emits a pulsed laser into the target optical cable, obtains real-time optical cable data in the target optical cable, extracts the Rayleigh scattering signal from the real-time optical cable data, and uses Φ-OTDR technology to perform precise calculations based on the phase change of the Rayleigh scattering signal, thereby reconstructing the propagation path of the specific acoustic wave signal, and identifying the position and state of the specific acoustic wave signal received by the target optical cable.

[0169] The signal detection module 24 is used to obtain the specific signal reception strength of the specific sound wave signal received by the target optical cable corresponding to the real-time sound wave emission position from the real-time optical cable data; the specific sound wave signal is the sound wave signal emitted by the drone 12 at the real-time sound wave emission position;

[0170] As described above, after the specific acoustic wave signal is emitted, it acts on the target optical cable and diffuses evenly along the length of the optical fiber in the target optical cable, causing the optical fiber to produce a tiny mechanical vibration, thereby causing the refractive index of the optical fiber to change slightly, causing the propagation characteristics of the light in the optical fiber to be affected, forming a Rayleigh scattering signal, which is finally reflected in the real-time optical cable data of the target optical cable. Therefore, the specific signal reception intensity of the specific acoustic wave signal received by the target optical cable at each time point can be obtained from the real-time optical cable data, and the position where the target optical cable receives the specific acoustic wave signal can also be obtained.

[0171] It is understandable that the specific signal emission intensity of the specific sound wave signal emitted by the drone 12 is determined, but the specific signal reception intensity of the specific sound wave signal received by the target optical cable will change with the relationship between the drone 12 and the target optical cable, as well as environmental interference. The live inspection of the drone 12 utilizes the automatic cruise function of the drone 12 to make the drone 12 fly above the optical cable to be inspected and in a horizontal area at a relative height from the optical cable, wherein when the drone 12 is directly above the optical cable to be inspected, or close to directly above the inspection optical cable, the specific signal reception intensity of the specific sound wave signal received by the optical cable to be inspected is the strongest.

[0172] Therefore, in theory, if the drone 12 flies in the direction where the specific sound wave signal is the strongest, it means that the drone 12 is flying directly above the target optical cable, that is, it can directly find the routing direction of the target optical cable. However, during the actual flight of the drone 12, due to the interference of the environment, the reception strength of the specific signal received by the target optical cable is not stable, and the routing position of the target optical cable cannot be accurately obtained. Therefore, when conducting live inspections, it is necessary to dynamically adjust and optimize the parameters of the specific sound wave signal emitted by the drone 12 according to the environmental conditions of the drone 12.

[0173] An environment acquisition module 25 is used to acquire environmental noise parameters of the drone 12 at the real-time sound wave emission position, and to acquire the real-time distance between the drone 12 and the target optical cable;

[0174] In this embodiment, the environmental noise parameters include at least environmental noise intensity and environmental noise frequency;

[0175] As described above, after the specific sound wave signal is emitted, it will be disturbed by environmental factors, and these environmental factors can be analyzed and obtained through the environmental noise parameters and the corresponding real-time distance between the drone 12 and the target optical cable. Therefore, in this embodiment, by collecting the environmental noise parameters of each real-time sound wave emission position and the corresponding real-time distance between the drone 12 and the target optical cable during the flight of the drone 12, the environmental conditions of the real-time sound wave emission position are analyzed in real time, thereby realizing the dynamic optimization adjustment of the specific sound wave signal.

[0176] In a specific implementation of this embodiment, in order to better perform live inspection of the target optical cable, the specific signal receiving strength of the specific sound wave signal received on the target optical cable must meet certain strength requirements. Therefore, it is necessary to dynamically adjust the specific signal transmission intensity based on the corresponding specific signal receiving strength, environmental noise parameters and the real-time distance between the drone 12 and the target optical cable.

[0177] Therefore, the device can dynamically adjust the emission intensity of the specific sound wave through the sound wave adjustment module 29;

[0178] Specifically, the dynamic adjustment of the specific signal transmission strength may include:

[0179] First, determine whether the ambient noise intensity is greater than a preset noise threshold;

[0180] In order to improve the signal-to-noise ratio and ensure the receiving strength of the specific signal received by the target optical cable, a preset noise threshold is set. When the ambient noise intensity exceeds the preset noise threshold, it means that the signal-to-noise ratio of the target optical cable is small and cannot meet the needs of data analysis and processing. At this time, it is necessary to adjust the specific signal emission intensity of the specific sound wave signal.

[0181] If the environmental noise intensity is greater than the preset noise threshold, the specific signal reception intensity, the environmental noise parameter and the real-time distance between the drone 12 and the target optical cable are input into a pre-trained real-time acoustic wave adjustment model, and the real-time acoustic wave adjustment model is used to output a predicted signal emission intensity;

[0182] Since the influence of environmental factors is very complex, the results obtained by optimization through manual calculation may not be accurate, which will affect the accuracy of the live inspection of the target optical cable. Therefore, in this embodiment, a neural network is used to pre-train a real-time sound wave adjustment model. Through the real-time sound wave adjustment model, the influence of environmental interference is analyzed according to the input specific signal reception strength, the environmental noise parameters and the real-time distance between the UAV 12 and the target optical cable, and the optimal specific signal transmission intensity is predicted.

[0183] Specifically, the real-time sound wave adjustment model is constructed according to the signal strength adjustment formula; the real-time sound wave adjustment model is trained with the maximum actual sound wave signal-to-noise ratio as the optimization target, and is optimized by minimizing the error function to calculate the difference between the target sound wave signal-to-noise ratio and the actual sound wave signal-to-noise ratio;

[0184] Wherein, the actual acoustic wave signal-to-noise ratio is expressed as:

[0185]

[0186] Where P signal Indicates the specific signal receiving strength, P noise Indicates the intensity of ambient noise;

[0187] The signal strength adjustment formula is expressed as:

[0188]

[0189] Where P max is the maximum value of the acoustic signal that the drone 12 can emit, D is the real-time distance between the drone 12 and the target optical cable, k is the path loss factor, and the path loss factor is determined according to the environment of the drone 12 and the optical cable characteristics of the target optical cable; P is the predicted signal emission intensity; SNR target Indicates the preset target signal reception strength.

[0190] Finally, a parameter update instruction is transmitted to the drone 12 according to the predicted signal emission strength, so that the drone 12 updates the specific signal emission strength according to the predicted signal emission strength.

[0191] In another specific implementation of this embodiment, the environmental noise will have a certain frequency band. When the specific sound wave frequency of the specific sound wave signal emitted by the drone 12 falls into the frequency band of the environmental noise, the specific sound wave signal will be seriously interfered by the environmental noise, causing the signal-to-noise ratio of the specific sound wave signal received on the target optical cable to be reduced, thereby reducing the accuracy of the live inspection of the target optical cable. Therefore, it is necessary to dynamically adjust the specific sound wave frequency to prevent the specific sound wave frequency from falling into the frequency band of the environmental noise.

[0192] Therefore, the device can dynamically adjust the specific sound wave frequency through the sound wave adjustment module 29

[0193] Specifically, the dynamic adjustment of the specific sound wave frequency may include:

[0194] First, determining whether the specific signal reception strength is lower than a preset signal strength;

[0195] As mentioned above, if the specific sound wave frequency falls into the frequency band of ambient noise, even if the ambient noise intensity is not very high, the specific sound wave signal will be seriously interfered with by the ambient noise. Therefore, the specific signal receiving strength is judged by setting a preset signal strength. When the specific signal receiving strength is lower than the preset signal strength, it means that the specific sound wave signal is seriously interfered with by the ambient noise.

[0196] If the specific signal reception strength is lower than the preset signal strength, the specific signal reception strength, the environmental noise parameter and the real-time distance between the drone 12 and the target optical cable are input into a pre-trained real-time sound wave adjustment model, and the real-time sound wave adjustment model is used to output a predicted sound wave frequency;

[0197] Since the environmental noise situation is complicated, in this embodiment, a neural network is used to pre-train a real-time sound wave adjustment model. Through the real-time sound wave adjustment model, the frequency band of the environmental noise is analyzed and predicted according to the input specific signal reception strength, the environmental noise parameters and the real-time distance between the UAV 12 and the target optical cable, and then the optimal specific sound wave frequency that needs to be emitted by the specific sound wave signal is predicted.

[0198] Specifically, the real-time sound wave adjustment model is constructed according to the frequency adjustment formula, with minLoss(P noise (f)) is trained for optimization purposes; the real-time sound wave adjustment model can be trained by supervised learning.

[0199] Among them, minLoss() represents the loss function minimized in the current optimization process, which is used to measure whether the optimization goal is achieved; therefore, the minLoss(P noise (f)) represents the minimum ambient noise intensity at the predicted sound wave frequency f;

[0200] The frequency adjustment formula is expressed as:

[0201] f=f base +Δf

[0202] In the formula, f baseis the basic transmission frequency of the specific sound wave signal, △f is the frequency offset, which is obtained by predicting the real-time sound wave adjustment model according to the distribution of the ambient noise frequency; f is the predicted sound wave frequency.

[0203] Finally, a parameter update instruction is transmitted to the drone 12 according to the predicted sound wave frequency, so that the drone 12 updates the specific sound wave frequency according to the predicted sound wave frequency.

[0204] In a preferred implementation of this embodiment, in order to better ensure the live inspection of the target optical cable, the above two implementations can be combined, that is, the specific signal emission intensity and the specific sound wave frequency of the specific sound wave signal are dynamically adjusted according to the specific signal reception strength, environmental noise parameters and the real-time distance between the drone 12 and the target optical cable.

[0205] Therefore, the device can dynamically adjust the specific signal emission intensity and the specific sound wave frequency through the sound wave adjustment module 29.

[0206] Specifically, the dynamic adjustment of the specific signal emission intensity and the specific sound wave frequency may include:

[0207] First, determine whether the environmental noise intensity is greater than a preset noise threshold, and / or determine whether the specific signal reception intensity is lower than a preset signal intensity;

[0208] If the ambient noise intensity is greater than the preset noise threshold, and / or the specific signal reception intensity is lower than the preset signal intensity, the specific signal reception intensity, the ambient noise parameter and the real-time distance between the drone 12 and the target optical cable are input into a pre-trained real-time acoustic wave adjustment model, and the real-time acoustic wave adjustment model outputs a predicted signal emission intensity and a predicted acoustic wave frequency;

[0209] Finally, a parameter update instruction is transmitted to the drone 12 according to the predicted signal emission intensity and the predicted sound wave frequency, so that the drone 12 updates the specific signal emission intensity and the specific sound wave frequency according to the predicted signal emission intensity.

[0210] It can be understood that the real-time sound wave adjustment model is constructed according to the signal strength adjustment formula and the frequency adjustment formula, with the maximum sound wave signal-to-noise ratio and minLoss (P noise (f)) is trained to optimize the objective.

[0211] A position acquisition module 26, configured to acquire a routing position point of the target optical cable according to the real-time acoustic wave emission position and the corresponding specific signal reception strength;

[0212] In this embodiment, obtaining the target optical cable routing location point may specifically include:

[0213] First, according to the specific signal receiving strength corresponding to each of the real-time sound wave emission positions, a signal peak position point is obtained;

[0214] As described above, in this embodiment, the real-time optical cable data in the target optical cable can be analyzed to obtain the specific signal reception strength of the specific sound wave signal received by the target optical cable at each time point; at the same time, the real-time sound wave emission position of the drone 12 at each time point can also be obtained, and then the real-time sound wave emission positions of the drone 12 are associated with the specific signal reception strength, and then the change of the specific signal reception strength during the flight of the drone 12 is obtained.

[0215] Specifically, in the present embodiment, the signal peak position point is the real-time sound wave emission position corresponding to the change trend of the specific signal reception strength from enhancement to weakening; as mentioned above, when the specific signal reception strength weakens, it indicates that the UAV 12 has deviated from the routing direction of the target optical cable. It can be understood that when the change trend of the specific signal reception strength changes, that is, the turning point from enhancement to weakening, the specific signal reception strength corresponding to the turning point is the largest, so the real-time sound wave emission position corresponding to the turning point is closest to the routing direction of the target optical cable.

[0216] Next, the signal peak position point is used as the routing position point of the target optical cable.

[0217] As described above, the signal peak position point is located in the routing direction of the target optical cable, so using the signal peak position point as the routing position point can more conveniently and directly obtain the routing situation of the target optical cable.

[0218] In a preferred embodiment, before obtaining the signal peak position point according to the specific signal reception strength, the specific signal reception strength is further screened to obtain the specific signal reception strength exceeding the preset specific strength; then the signal peak position point is obtained according to the specific signal reception strength exceeding the preset specific strength. The preset specific strength is set according to the overall situation of the specific signal reception strength, and is used to screen the specific signal reception strength, reduce the number of the real-time sound wave emission positions used to obtain the routing position point, and improve the calculation efficiency of the routing position point.

[0219] A distance acquisition module 27, configured to acquire the optical cable distance of the routing position point corresponding to the target optical cable according to the routing position point of the target optical cable and the corresponding real-time optical cable data;

[0220] In this embodiment, the routing position point is associated with the real-time acoustic wave emission position, and then the position where the specific acoustic wave signal acts on the target optical cable, that is, the optical cable distance of the target optical cable, can be obtained from the corresponding real-time optical cable data through Φ-OTDR technology according to the time point of the real-time acoustic wave emission position, thereby realizing the association between the routing position point and the optical cable distance.

[0221] A routing acquisition module 28, configured to acquire the routing direction of the target optical cable according to the routing position point and the corresponding optical cable distance;

[0222] Specifically, after the routing position points are associated with the optical cable distances, all the routing position points can be fitted and connected in series according to the corresponding associated optical cable distances, and the final fitted line is the routing direction of the target optical cable.

[0223] As described above, in a preferred real-time mode of this embodiment, the real-time flight path of the drone 12 can be dynamically optimized, the purpose of which is to reduce the flight time of the drone 12 and improve the efficiency of the live inspection of the target optical cable. The dynamic optimization of the real-time flight path is to enable the drone 12 to fly along the routing direction of the target optical cable as much as possible. As described above, when the drone 12 is close to the target optical cable, the specific signal receiving strength received by the target optical cable increases, and when the drone 12 is away from the target optical cable, the specific signal receiving strength decreases. Therefore, in this embodiment, the real-time flight path can be dynamically adjusted according to the specific signal receiving strength.

[0224] At the same time, since the live inspection of the optical cable is a long-duration task, and in this embodiment, the UAV 12 is equipped with the optical cable identifier 13, which increases a certain weight, thereby reducing the endurance of the UAV 12. Therefore, the UAV 12 needs to ensure stable flight as much as possible during the flight to reduce the extra power consumption during the flight. Among them, an important factor affecting the stable flight of the UAV 12 is the wind speed in the flight environment of the UAV 12. Therefore, in this embodiment, the real-time environmental wind speed of the UAV 12 at the real-time sound wave emission position is obtained, and then the real-time flight path of the UAV 12 can be adjusted according to the environmental wind speed, and the path that will increase the flight power consumption of the UAV 12, such as flying against the wind, is minimized, thereby improving the endurance of the UAV 12.

[0225] Furthermore, when there are multiple optical cables on the flight path of the drone 12, the other optical cables will have a certain impact on the live inspection of the target optical cable. Therefore, in the actual operation process, it is necessary to first determine the target optical cable from the multiple optical cables. The determination of the target optical cable may specifically include:

[0226] First, according to each optical cable to be detected within a preset starting range, a corresponding detection sound wave emission position is obtained; the detection sound wave emission position is directly above the corresponding optical cable to be detected and is at a preset flight distance from the optical cable to be detected;

[0227] Similar to the specific sound wave signal, the detection sound wave signal is a sound wave signal of a certain frequency emitted by the optical cable identifier 13 carried by the drone 12, so that the signal status of the detection sound wave signal received by the target optical cable can be easily obtained from the real-time optical cable data.

[0228] Next, according to the preset detection intensity and the detection sound wave emission position, a target detection instruction is sent to the drone 12, so that the drone 12 emits a detection sound wave signal of the preset detection intensity at each of the detection sound wave emission positions according to the target detection instruction;

[0229] Finally, the detection signal strength is compared with the preset detection strength, and the target optical cable is determined from the optical cables to be detected according to the comparison result.

[0230] Since the drone 12 emits the detection sound wave signal directly above each of the optical cables to be detected, and only the target optical cable is connected to the optical cable line inspection analysis device 11, only the real-time optical cable data in the target optical cable can be obtained. Therefore, when the detection sound wave signal is emitted directly above the target optical cable, the detection sound wave signal can be obtained from the real-time optical cable data. Conversely, when the detection sound wave signal is emitted directly above other optical cables to be detected other than the target optical cable, the detection sound wave signal cannot be obtained in the real-time optical cable data, or the detection sound wave signal can be obtained, but the detection signal intensity is smaller than the preset detection intensity. Therefore, the target optical cable can be determined based on the comparison result of the detection signal intensity and the preset detection intensity, thereby improving the efficiency of the live inspection of the optical cable.

[0231] It should be noted that the preset starting position can be a certain area range of the starting point of the real-time flight path of the drone 12, or it can be a certain area range of any real-time sound wave emission position on the real-time flight path of the drone 12. Regardless of which of the above situations, the purpose is to enable the drone 12 to better fly along the routing direction of the target optical cable in the future.

[0232] Example 4

[0233] Based on the same inventive concept as in Example 1, Figure 7 As shown, this embodiment provides an electronic device, including a memory 31 and a processor 32, wherein the memory 31 stores computer-readable instructions, and the processor 32 executes the computer-readable instructions to implement the live inspection method of the OPGW optical cable based on the drone 12 of this embodiment.

[0234] Preferably, the electronic device further includes a bus 33 and a communication interface 34 , and the processor 32 , the communication interface 34 and the memory 31 are connected via the bus 33 .

[0235] The memory 31 may include a high-speed random access memory (RAM), and may also include a non-volatile memory, such as at least one disk storage. The communication connection between the system network element and at least one other network element is realized through at least one communication interface 34 (which may be wired or wireless), and the Internet, wide area network, local area network, metropolitan area network, etc. may be used. The bus 33 may be an ISA bus, a PCI bus, or an EISA bus, etc. The bus 33 may be divided into an address bus, a data bus, a control bus, etc. (not fully drawn in the figure).

[0236] The processor 32 may be an integrated circuit chip with signal processing capability. In the specific implementation process, each step in the above method embodiment may be completed by the hardware integrated logic circuit or software instructions in the processor 32. The above processor 32 may be a general-purpose processor, including a central processing unit (CPU), a network processor (NP), etc.; it may also be a digital signal processor (DSP), an application-specific integrated circuit (ASIC), a field-programmable gate array (FPGA), or other programmable logic devices, discrete gates or transistor logic devices, discrete hardware components, which may implement or execute the methods, steps, and logic block diagrams disclosed in the embodiments of the present invention. The general-purpose processor may be a microprocessor or the processor 32 may also be any conventional processor 32, etc. The steps of the method disclosed in conjunction with the embodiments of the present invention may be directly embodied as being executed by a hardware decoding processor, or may be executed by a combination of hardware and software modules in a decoding processor. The software module may be located in a storage medium mature in the art, such as a random access memory, a flash memory, a read-only memory, a programmable read-only memory, or an electrically erasable programmable memory, a register, etc. The storage medium is located in the memory 31, and the processor 32 reads the information in the memory 31 and completes the steps of the method of the above embodiment in combination with its hardware.

[0237] An embodiment of the present invention further provides a computer-readable storage medium, which stores computer-executable instructions. When the computer-executable instructions are called and executed by the processor 32, the computer-executable instructions prompt the processor 32 to implement the above-mentioned live inspection method of OPGW optical cable based on the drone 12. The specific implementation can be found in the embodiment, which will not be repeated here.

[0238] If the functions are implemented in the form of software functional units and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, or the part that contributes to the prior art or the part of the technical solution, can be embodied in the form of a software product. The computer software product is stored in a storage medium, including several instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the methods described in each embodiment of the present invention. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), disk or optical disk, etc., which can store program codes.

[0239] Obviously, the above embodiments of the present invention are merely examples for clearly illustrating the technical solution of the present invention, and are not intended to limit the specific implementation methods of the present invention. Any modifications, equivalent substitutions and improvements made within the spirit and principles of the claims of the present invention shall be included in the protection scope of the claims of the present invention.

Claims

1. A live inspection method for OPGW optical cables based on drones, characterized in that: The method comprises: Get the real-time flight path of the drone; Acquire the real-time sound wave emission position of the UAV according to the real-time flight path; Acquiring real-time optical cable data of the target optical cable corresponding to the real-time acoustic wave emission position; From the real-time optical cable data, a specific signal reception intensity of a specific acoustic wave signal received by the target optical cable corresponding to the real-time acoustic wave emission position is obtained; the specific acoustic wave signal is an acoustic wave signal of a specific signal emission intensity emitted by the UAV at the real-time acoustic wave emission position; Collecting environmental noise parameters of the UAV at the real-time sound wave emission position, and collecting the real-time distance between the UAV and the target optical cable; the environmental noise parameters at least include environmental noise intensity and environmental noise frequency; According to the real-time sound wave emission position and the corresponding specific signal reception strength, or the routing position point of the target optical cable; According to the routing position point of the target optical cable and the corresponding real-time optical cable data, obtaining the optical cable distance of the routing position point corresponding to the target optical cable; Obtaining the routing direction of the target optical cable according to the routing position point and the corresponding optical cable distance; The specific signal transmission strength is dynamically adjusted according to the corresponding specific signal reception strength, environmental noise parameters and the real-time distance between the UAV and the target optical cable.

2. The method for live inspection of OPGW optical cables based on drones according to claim 1 is characterized in that: The specific signal transmission strength is dynamically adjusted according to the corresponding specific signal reception strength, the environmental noise parameter and the real-time distance between the UAV and the target optical cable, specifically including: Determining whether the ambient noise intensity is greater than a preset noise threshold; If the environmental noise intensity is greater than the preset noise threshold, the specific signal reception intensity, the environmental noise parameter and the real-time distance between the UAV and the target optical cable are input into a pre-trained real-time acoustic wave adjustment model, and the real-time acoustic wave adjustment model is used to output a predicted signal emission intensity; A parameter update instruction is transmitted to the drone according to the predicted signal transmission strength, so that the drone updates the specific signal transmission strength according to the predicted signal transmission strength.

3. The method for live inspection of OPGW optical cables based on drones according to claim 2 is characterized in that: The real-time sound wave adjustment model is constructed according to the signal strength adjustment formula; the real-time sound wave adjustment model is trained with the maximum actual sound wave signal-to-noise ratio as the optimization target, and is optimized by minimizing the error function to calculate the difference between the target sound wave signal-to-noise ratio and the actual sound wave signal-to-noise ratio; The actual acoustic wave signal-to-noise ratio is expressed as: Where P signal Indicates the specific signal receiving strength, P noise Indicates the intensity of ambient noise; The signal strength adjustment formula is expressed as: Where P max is the maximum value of the acoustic signal that the drone can emit, D is the real-time distance between the drone and the target optical cable, k is the path loss factor, and the path loss factor is determined according to the environment of the drone and the optical cable characteristics of the target optical cable; P is the predicted signal emission intensity; SNR target Indicates the preset target signal reception strength.

4. A live inspection method for OPGW optical cables based on drones according to any one of claims 1 to 3, characterized in that: The method also includes dynamically adjusting the specific sound wave frequency of the specific sound wave signal according to the specific signal reception strength, environmental noise parameters and the real-time distance between the UAV and the target optical cable.

5. The method for live inspection of OPGW optical cables based on drones according to claim 4 is characterized in that: The specific sound wave frequency of the specific sound wave signal is dynamically adjusted according to the specific signal reception strength, environmental noise parameters and the real-time distance between the UAV and the target optical cable, specifically including: Determining whether the specific signal reception strength is lower than a preset signal strength; If the specific signal reception strength is lower than the preset signal strength, the specific signal reception strength, the environmental noise parameter and the real-time distance between the UAV and the target optical cable are input into a pre-trained real-time sound wave adjustment model, and the real-time sound wave adjustment model is used to output a predicted sound wave frequency; A parameter update instruction is transmitted to the drone according to the predicted sound wave frequency, so that the drone updates the specific sound wave frequency according to the predicted sound wave frequency.

6. The method for live inspection of OPGW optical cables based on drones according to claim 5 is characterized in that: The real-time sound wave adjustment model is constructed according to the frequency adjustment formula, with minLoss(P noise (f)) Training for optimization objectives; The minLoss(P noise (f)) represents the minimum ambient noise intensity at the predicted sound wave frequency f; The frequency adjustment formula is expressed as: f=f base +Δf In the formula, f base is the basic transmission frequency of the specific sound wave signal, △f is the frequency offset, which is predicted by the real-time sound wave adjustment model according to the distribution of the ambient noise frequency; f is the predicted sound wave frequency.

7. The method for live inspection of OPGW optical cables based on drones according to claim 1 is characterized in that: The step of obtaining the routing position of the target optical cable according to the real-time acoustic wave emission position and the corresponding specific signal reception strength specifically includes: According to the specific signal receiving strength corresponding to each of the real-time sound wave emission positions, a signal peak position point is obtained; the signal peak position point is the real-time sound wave emission position corresponding to the change trend of the specific signal receiving strength from enhancement to weakening; The signal peak position point is used as the routing position point of the target optical cable.

8. The method for live inspection of OPGW optical cables based on drones according to claim 1 is characterized in that: The obtaining of the signal peak position point according to the specific signal receiving strength corresponding to each of the real-time sound wave emission positions specifically includes: Screening the specific signal reception strengths to obtain the specific signal reception strengths exceeding a preset specific strength; The signal peak position point is obtained according to the specific signal reception strength exceeding the preset specific strength.

9. A live inspection method for OPGW optical cables based on drones according to any one of claims 1-3 or 7-8, characterized in that: The real-time flight path is dynamically optimized according to the specific signal reception strength and the real-time environmental wind speed during the flight of the UAV.

10. A live inspection system for OPGW optical cables based on drones, characterized in that: The system comprises: Optical cable inspection and analysis equipment, used to connect to the target optical cable; A drone, wherein the drone is equipped with an optical cable identifier, and the optical cable identifier is used to emit a specific sound wave signal; The terminal platform is used to implement the live inspection method of OPGW optical cable based on drone as described in any one of items 1-9 above.

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