Cable monitoring system for determining inspection parameters based on historical fault data

Abstract

An embodiment of the present invention discloses a cable monitoring system for determining inspection parameters according to historical fault data. The system includes: a fault information acquisition module configured to acquire historical fault information of each cable line recorded in a database; a collection parameter determination module configured to determine the collection parameters of a drone based on the historical fault information, where the collection parameters include the accuracy of captured images, flight altitude, and flight speed; an inspection control module configured to control the drone to perform inspections along each cable line, determine the cable line where the drone is currently located according to the obtained position data of the drone, and control the drone to perform cable monitoring based on the collection parameters corresponding to the cable line where it is located. This solution solves the problems in the prior art of low cable inspection efficiency, poor flexibility, and weak pertinence, improves the equipment inspection efficiency, can perform cable inspections efficiently, and discovers potential faults in the shortest time.

Description

Technical Field

[0001] The embodiments of the present application relate to the technical field of cables, and in particular, to a cable monitoring system for determining inspection parameters according to historical fault data. Background Art

[0002] With the wide use of cables, more and more cable devices are applied in various fields. As one of the important power transmission devices, how to monitor it efficiently has become the main research topic.

[0003] In the related art, drones are set up for automatic cable inspection. However, in the inspection process, a single inspection method is mostly used. For example, the drone is controlled to perform cable inspection along the inspection path at a fixed height. The inspection efficiency is low and the cable fault prediction cannot be carried out efficiently, which needs to be improved. Summary of the Invention

[0004] The embodiments of the present invention provide a cable monitoring system for determining inspection parameters according to historical fault data, which solves the problems of low cable inspection efficiency, poor flexibility and weak pertinence in the prior art, improves the equipment inspection efficiency, can perform cable inspection efficiently, and discovers potential fault hazards in the shortest time.

[0005] In a first aspect, the embodiments of the present invention provide a cable monitoring system for determining inspection parameters according to historical fault data, and the cable monitoring system includes:

[0006] A fault information acquisition module configured to acquire the historical fault information of each cable line recorded in the database;

[0007] An acquisition parameter determination module configured to determine the acquisition parameters of the drone based on the historical fault information, where the acquisition parameters include the accuracy of the captured image, the flight altitude and the flight speed;

[0008] An inspection control module configured to control the drone to perform inspections along each cable line, determine the cable line where the drone is currently located according to the acquired position data of the drone, and control the drone to perform cable monitoring based on the acquisition parameters corresponding to the cable line where it is located.

[0009] Optionally, the fault information acquisition module is configured to:

[0010] Acquire the fault location and fault type of each cable line recorded in the database;

[0011] The acquisition parameter determination module is configured to:

[0012] Determine the flight altitude and flight speed of the drone according to the fault location, and determine the accuracy of the captured image of the drone according to the fault type.

[0013] Optionally, the inspection control module is configured to:

[0014] Control the drone to perform inspections along each cable line at a first flight altitude, a first flight speed, and a first image capture accuracy;

[0015] Determine the cable line where the drone is currently located based on the obtained position of the drone and the cable division areas, where the cable division areas of each cable do not overlap with each other.

[0016] Optionally, the inspection control module is configured to:

[0017] When it is determined based on the historical fault information that the current acquisition area of the drone is a fault area, control the drone to monitor the cable line at a second flight altitude, a second flight speed, and a second image capture accuracy, where the second flight altitude is less than the first flight altitude, the second flight speed is less than the first flight speed, and the second image capture accuracy is higher than the first image capture accuracy.

[0018] In a second aspect, an embodiment of the present invention further provides a cable monitoring method for determining inspection parameters based on historical fault data, and the method includes:

[0019] Obtain the historical fault information of each cable line recorded in the database;

[0020] Determine the acquisition parameters of the drone based on the historical fault information, where the acquisition parameters include the accuracy of the captured image, the flight altitude, and the flight speed;

[0021] Control the drone to perform inspections along each cable line, determine the cable line where the drone is currently located based on the obtained position data of the drone, and control the drone to perform cable monitoring based on the acquisition parameters corresponding to the cable line where it is located.

[0022] Optionally, the obtaining the historical fault information of each cable line recorded in the database includes:

[0023] Obtain the fault positions and fault types of each cable line recorded in the database;

[0024] The determining the acquisition parameters of the drone based on the historical fault information includes:

[0025] Determine the flight altitude and flight speed of the drone according to the fault position, and determine the accuracy of the captured image of the drone according to the fault type.

[0026] Optionally, the controlling the drone to perform inspections along each cable line includes:

[0027] Control the drone to perform inspections along each cable line at a first flight altitude, a first flight speed, and a first image capture accuracy;

[0028] Determining the cable line where the drone is currently located according to the obtained position data of the drone includes:

[0029] Determine the cable line where the drone is currently located according to the obtained position of the drone and the cable division area, wherein the cable division areas of each cable do not overlap with each other.

[0030] Optionally, controlling the drone to perform cable monitoring based on the acquisition parameters corresponding to the cable line where it is located includes:

[0031] When it is determined based on the historical fault information that the current acquisition area of the drone is a fault area, control the drone to monitor the cable line at a second flight altitude, a second flight speed, and a second image capture accuracy, where the second flight altitude is less than the first flight altitude, the second flight speed is less than the first flight speed, and the second image capture accuracy is higher than the first image capture accuracy.

[0032] In a third aspect, an embodiment of the present invention further provides a cable monitoring system device for determining inspection parameters according to historical fault data. The device includes:

[0033] One or more processors;

[0034] A storage device for storing one or more programs,

[0035] When the one or more programs are executed by the one or more processors, the one or more processors implement the cable monitoring method for determining inspection parameters according to historical fault data described in the embodiments of the present invention.

[0036] In a fourth aspect, an embodiment of the present invention further provides a storage medium storing computer-executable instructions, and the computer-executable instructions are used to execute the cable monitoring method for determining inspection parameters according to historical fault data described in the embodiments of the present invention when executed by a computer processor.

[0037] In an embodiment of the present invention, a fault information acquisition module is configured to acquire historical fault information of each cable line recorded in a database; a collection parameter determination module is configured to determine collection parameters of a drone based on the historical fault information, where the collection parameters include the accuracy of a captured image, flight altitude, and flight speed; an inspection control module is configured to control the drone to perform inspections along each cable line, determine the cable line where the drone is currently located according to the obtained position data of the drone, and control the drone to perform cable monitoring based on the collection parameters corresponding to the cable line where it is located. This solution solves the problems of low efficiency, poor flexibility, and lack of pertinence in cable inspection in the prior art, improves the equipment inspection efficiency, can efficiently perform cable inspection, and discover potential faults in the shortest time. Description of the Drawings

[0038] Figure 1 It is a flowchart of a cable monitoring method for determining inspection parameters according to historical fault data provided by an embodiment of the present invention;

[0039] Figure 2 It is a flowchart of another cable monitoring method for determining inspection parameters according to historical fault data provided by an embodiment of the present invention;

[0040] Figure 3 It is a block diagram of the module structure of a cable monitoring system for determining inspection parameters according to historical fault data provided by an embodiment of the present invention;

[0041] Figure 4 It is a schematic diagram of the structure of a cable monitoring system device for determining inspection parameters according to historical fault data provided by an embodiment of the present invention. Detailed Embodiment

[0042] The following further elaborates on the embodiments of the present invention in conjunction with the drawings and embodiments. It can be understood that the specific embodiments described herein are only used to explain the embodiments of the present invention, rather than limiting the embodiments of the present invention. Additionally, it should be noted that for the sake of description, only parts related to the embodiments of the present invention are shown in the drawings, rather than all structures.

[0043] Figure 1 It is a flowchart of a cable monitoring method for determining inspection parameters according to historical fault data provided by an embodiment of the present invention, which can be executed by an intelligent cable monitoring system, and specifically includes the following steps:

[0044] Step S101: Acquire historical fault information of each cable line recorded in the database.

[0045] In one embodiment, historical fault information of a cable line is recorded. Exemplarily, when a cable line fails, the fault location and fault type of the cable line can be recorded accordingly. The fault location can be the relative position of a specific cable line or the geographical coordinate area location; the fault types include temperature fault types, deformation fault types, foreign object fault types, etc.

[0046] Step S102, determine the acquisition parameters of the drone based on the historical fault information, where the acquisition parameters include the accuracy of the captured image, the flight altitude, and the flight speed.

[0047] In one embodiment, the acquisition parameters of the drone are determined according to the historical fault information recorded in the database. Among them, the acquisition parameters are the acquisition parameters of the drone at the fault location recorded in the historical fault information, and the fault location is the area location delimited based on the fault point, which can be a circular area with the fault point as the center and a preset length as the radius. The preset length can be, for example, 20 meters or 50 meters.

[0048] Among them, the acquisition parameters include the accuracy of the captured image, the flight altitude, and the flight speed. Specifically, the flight altitude is the height of the drone from the ground, the flight speed is the flight speed of the drone relative to the ground, and the accuracy of the captured image is the image accuracy obtained by the camera carried by the drone for image capture. Exemplarily, it can be the image resolution, size, etc.

[0049] Step S103, control the drone to conduct inspections along each cable line, determine the cable line where the drone is currently located according to the obtained position data of the drone, and control the drone to conduct cable monitoring based on the acquisition parameters corresponding to the cable line where it is located.

[0050] In one embodiment, the system platform sends a control instruction to the drone or sends a control instruction to the drone remote control device for forwarding to the drone to control the flight of the drone, so as to realize the inspection of the cable line. Specifically, the inspection process can be to conduct inspections of the cable line one by one or by area, and the inspection purpose is achieved by the drone taking and transmitting real-time images above the cable line.

[0051] In one embodiment, when controlling the drone to conduct inspections, first conduct inspections along each cable line at the first flight altitude, first flight speed, and first image capture accuracy set by default. The acquisition parameters set by default can be the acquisition parameters for inspecting non-fault areas determined based on historical fault data.

[0052] During the inspection of the UAV according to the default acquisition parameters, the real-time position of the UAV is obtained, and the cable line where the UAV is currently located is determined according to the obtained position data of the UAV. Specifically, it includes: determining the cable line where the UAV is currently located according to the obtained position of the UAV and the cable division area, where the cable division areas of each cable do not overlap with each other.

[0053] Optionally, when dividing the cable area, it is divided into non-overlapping areas, that is, when the UAV flies along the flight path, it conducts inspections in non-overlapping areas to improve the inspection efficiency. Specifically, when there are multiple intersecting cable lines at the same time, these multiple cable lines correspond to a cable division area. That is, when the UAV conducts inspections in this cable division area, it can conduct inspections on multiple cable lines at one time. For example, when taking pictures of multiple intersecting cable lines, after flying away from the cable division area where the multiple cable lines intersect, it conducts inspections on a single cable line and resumes the inspection method of inspecting a single cable line.

[0054] In one embodiment, controlling the UAV to conduct cable monitoring based on the acquisition parameters corresponding to the cable line where it is located includes: when it is determined based on the historical fault information that the current acquisition area of the UAV is a fault area, controlling the UAV to monitor the cable line at a second flight altitude, a second flight speed, and a second image shooting accuracy. The second flight altitude is less than the first flight altitude, the second flight speed is less than the first flight speed, and the second image shooting accuracy is higher than the first image shooting accuracy. Specifically, during the inspection process, for the position area where a fault occurs, the inspection is carried out at the second flight altitude, the second flight speed, and the second image shooting accuracy. In this inspection method, the flight altitude of the UAV decreases, the flight speed slows down, and higher-precision images are taken and transmitted. Exemplarily, the second flight altitude is half of the first flight altitude, where the first flight altitude is three times the average height of the cable; the second flight speed is half of the first flight speed; the picture resolution of the second image shooting accuracy can be 1080P. Correspondingly, the picture resolution of the first image shooting accuracy can be 720P.

[0055] As described above, historical fault information of each cable line in the database is obtained; acquisition parameters of the unmanned aerial vehicle (UAV) are determined based on the historical fault information, where the acquisition parameters include the accuracy of the captured images, the flight altitude, and the flight speed; the UAV is controlled to perform inspections along each cable line, the cable line where the UAV is currently located is determined according to the obtained position data of the UAV, and the UAV is controlled to perform cable monitoring based on the acquisition parameters corresponding to the cable line where it is located, solving the problems of low efficiency, poor flexibility, and lack of pertinence in cable inspections in the prior art, improving the equipment inspection efficiency, enabling efficient cable inspections, and discovering potential faults in the shortest time.

[0056] Figure 2 The flowchart of another cable monitoring method for determining inspection parameters according to historical fault data provided by an embodiment of the present invention is shown as Figure 2 shown, and a specific and complete example is given. Specifically, it includes:

[0057] Step S201: Obtain the fault locations and fault types of each cable line recorded in the database.

[0058] Step S202: Determine the flight altitude and flight speed of the UAV according to the fault location, and determine the accuracy of the captured images of the UAV according to the fault type.

[0059] In one embodiment, different fault types correspond to different accuracies of the captured images. Optionally, for the foreign object type, the captured image is magnified; for the deformation type, the captured image is correspondingly reduced. Among them, the foreign object type refers to the type of fault where the cable line fails due to foreign objects outside the cable, and the deformation type is the type of cable fault caused by the deformation of the cable line.

[0060] Step S203: Control the UAV to perform inspections along each cable line at a first flight altitude, a first flight speed, and a first image capture accuracy, and determine the cable line where the UAV is currently located according to the obtained position of the UAV and the cable division areas, where the cable division areas of each cable do not overlap.

[0061] Step S204: When it is determined based on the historical fault information that the current acquisition area of the UAV is a fault area, control the UAV to perform cable line monitoring at a second flight altitude, a second flight speed, and a second image capture accuracy, where the second flight altitude is less than the first flight altitude, the second flight speed is less than the first flight speed, and the second image capture accuracy is higher than the first image capture accuracy.

[0062] As can be seen from the above, by obtaining the historical fault information of each cable line recorded in the database; determining the acquisition parameters of the unmanned aerial vehicle (UAV) based on the historical fault information, where the acquisition parameters include the accuracy of the captured images, flight altitude, and flight speed; controlling the UAV to conduct inspections along each cable line, determining the cable line where the UAV is currently located according to the obtained position data of the UAV, and controlling the UAV to conduct cable monitoring based on the acquisition parameters corresponding to the cable line where it is located, the problems in the prior art of low cable inspection efficiency, poor flexibility, and lack of pertinence are solved, the equipment inspection efficiency is improved, cable inspection can be carried out efficiently, and potential fault hazards can be discovered in the shortest time.

[0063] Figure 3 This is a block diagram of the module structure of a cable monitoring system for determining inspection parameters according to historical fault data provided by an embodiment of the present invention, which is used to execute the cable monitoring method for determining inspection parameters according to historical fault data provided by the above embodiment, and has corresponding functional modules and beneficial effects for executing the method. As Figure 3 shown, the device specifically includes: a fault information acquisition module 101, an acquisition parameter determination module 102, and an inspection control module 103, where

[0064] The fault information acquisition module 101 is configured to obtain the historical fault information of each cable line recorded in the database;

[0065] The acquisition parameter determination module 102 is configured to determine the acquisition parameters of the UAV based on the historical fault information, where the acquisition parameters include the accuracy of the captured images, flight altitude, and flight speed;

[0066] The inspection control module 103 is configured to control the UAV to conduct inspections along each cable line, determine the cable line where the UAV is currently located according to the obtained position data of the UAV, and control the UAV to conduct cable monitoring based on the acquisition parameters corresponding to the cable line where it is located.

[0067] As can be seen from the above solution, the fault information acquisition module is configured to obtain the historical fault information of each cable line recorded in the database; the acquisition parameter determination module is configured to determine the acquisition parameters of the UAV based on the historical fault information, where the acquisition parameters include the accuracy of the captured images, flight altitude, and flight speed; the inspection control module is configured to control the UAV to conduct inspections along each cable line, determine the cable line where the UAV is currently located according to the obtained position data of the UAV, and control the UAV to conduct cable monitoring based on the acquisition parameters corresponding to the cable line where it is located. This solution solves the problems in the prior art of low cable inspection efficiency, poor flexibility, and lack of pertinence, improves the equipment inspection efficiency, can conduct cable inspection efficiently, and discovers potential fault hazards in the shortest time.

[0068] In a possible embodiment, the fault information acquisition module is configured to:

[0069] Obtain the fault locations and fault types of each cable line recorded in the database;

[0070] The acquisition parameter determination module is configured to:

[0071] Determine the flight altitude and flight speed of the drone according to the fault location, and determine the accuracy of the captured images of the drone according to the fault type.

[0072] In a possible embodiment, the inspection control module is configured to:

[0073] Control the drone to perform inspections along each cable line at a first flight altitude, a first flight speed, and a first image capture accuracy;

[0074] Determine the cable line where the drone is currently located according to the obtained position of the drone and the cable division area, wherein the cable division areas of each cable do not overlap with each other.

[0075] In a possible embodiment, the inspection control module is configured to:

[0076] When it is determined based on the historical fault information that the current acquisition area of the drone is a fault area, control the drone to monitor the cable line at a second flight altitude, a second flight speed, and a second image capture accuracy, where the second flight altitude is less than the first flight altitude, the second flight speed is less than the first flight speed, and the second image capture accuracy is higher than the first image capture accuracy.

[0077] Figure 4 The figure is a schematic structural diagram of a cable monitoring system device for determining inspection parameters according to historical fault data provided by an embodiment of the present invention. As Figure 4 shown, the device includes a processor 201, a memory 202, an input device 203, and an output device 204; the number of processors 201 in the device can be one or more. Figure 4 Taking one processor 201 as an example; the processor 201, the memory 202, the input device 203, and the output device 204 in the device can be connected through a bus or other means. Figure 4Take the bus connection as an example. The memory 202, as a computer-readable storage medium, can be used to store software programs, computer-executable programs, and modules, such as the program instructions / modules corresponding to the cable monitoring method for determining inspection parameters according to historical fault data in the embodiments of the present invention. The processor 201 executes various functional applications and data processing of the device by running the software programs, instructions, and modules stored in the memory 202, that is, implements the above-mentioned cable monitoring method for determining inspection parameters according to historical fault data. The input device 203 can be used to receive input digital or character information, and generate key signal inputs related to the user settings and function controls of the device. The output device 204 may include display devices such as a display screen.

[0078] The embodiments of the present invention further provide a storage medium containing computer-executable instructions, and the computer-executable instructions are used to execute a cable monitoring method for determining inspection parameters according to historical fault data when executed by a computer processor. The method includes:

[0079] Obtain the historical fault information of each cable line recorded in the database;

[0080] Determine the acquisition parameters of the unmanned aerial vehicle based on the historical fault information, where the acquisition parameters include the accuracy of the captured images, the flight altitude, and the flight speed;

[0081] Control the unmanned aerial vehicle to conduct inspections along each cable line, determine the cable line where the unmanned aerial vehicle is currently located according to the obtained position data of the unmanned aerial vehicle, and control the unmanned aerial vehicle to perform cable monitoring based on the acquisition parameters corresponding to the cable line where it is located.

[0082] Optionally, the obtaining the historical fault information of each cable line recorded in the database includes:

[0083] Obtain the fault location and fault type of each cable line recorded in the database;

[0084] The determining the acquisition parameters of the unmanned aerial vehicle based on the historical fault information includes:

[0085] Determine the flight altitude and flight speed of the unmanned aerial vehicle according to the fault location, and determine the accuracy of the captured images of the unmanned aerial vehicle according to the fault type.

[0086] Optionally, the controlling the unmanned aerial vehicle to conduct inspections along each cable line includes:

[0087] Control the unmanned aerial vehicle to conduct inspections along each cable line at a first flight altitude, a first flight speed, and a first image capture accuracy;

[0088] Determining the cable line where the drone is currently located according to the obtained position data of the drone includes:

[0089] Determining the cable line where the drone is currently located according to the obtained position of the drone and the cable division area, wherein the cable division areas of each cable do not overlap with each other.

[0090] Optionally, controlling the drone to perform cable monitoring based on the acquisition parameters corresponding to the cable line where it is located includes:

[0091] When it is determined based on the historical fault information that the current acquisition area of the drone is a fault area, controlling the drone to monitor the cable line at a second flight altitude, a second flight speed, and a second image capture accuracy, where the second flight altitude is less than the first flight altitude, the second flight speed is less than the first flight speed, and the second image capture accuracy is higher than the first image capture accuracy.

[0092] It should be noted that in the embodiments of the cable monitoring system device for determining the inspection parameters according to historical fault data, the various units and modules included are only divided according to functional logic, but are not limited to the above division, as long as the corresponding functions can be realized; in addition, the specific names of the functional units are only for the convenience of mutual distinction and do not limit the protection scope of the embodiments of the present invention.

[0093] Note that the above is only the preferred embodiment of the embodiments of the present invention and the applied technical principle. Those skilled in the art will understand that the embodiments of the present invention are not limited to the specific embodiments described here, and various obvious changes, re-adjustments, and substitutions can be made by those skilled in the art without departing from the protection scope of the embodiments of the present invention. Therefore, although the embodiments of the present invention have been described in more detail through the above embodiments, the embodiments of the present invention are not limited to the above embodiments only. Without departing from the concept of the embodiments of the present invention, more other equivalent embodiments can be included, and the scope of the embodiments of the present invention is determined by the scope of the appended claims.

Claims

1. A cable monitoring system for determining inspection parameters based on historical fault data, characterized in that, including: a fault information acquisition module configured to acquire the fault locations and fault types of each cable line recorded in a database; an acquisition parameter determination module configured to determine the flight altitude and flight speed of a drone according to the fault location, and determine the accuracy of the captured image of the drone according to the fault type, where the acquisition parameters include the accuracy of the captured image, the flight altitude, and the flight speed; an inspection control module configured to control the drone to perform inspections along each cable line at a first flight altitude, a first flight speed, and a first image capture accuracy, determine the cable line where the drone is currently located according to the obtained position of the drone and the cable division area, where the cable division areas of each cable do not overlap with each other, and when it is determined based on the historical fault information that the current acquisition area of the drone is a fault area, control the drone to monitor the cable line at a second flight altitude, a second flight speed, and a second image capture accuracy, where the second flight altitude is less than the first flight altitude, the second flight speed is less than the first flight speed, and the second image capture accuracy is higher than the first image capture accuracy.

2. A cable monitoring method for determining inspection parameters based on historical fault data, characterized in that, including: acquire the fault locations and fault types of each cable line recorded in the database; determine the flight altitude and flight speed of the drone according to the fault location, and determine the accuracy of the captured image of the drone according to the fault type, where the acquisition parameters include the accuracy of the captured image, the flight altitude, and the flight speed; control the drone to perform inspections along each cable line at a first flight altitude, a first flight speed, and a first image capture accuracy, determine the cable line where the drone is currently located according to the obtained position of the drone and the cable division area, where the cable division areas of each cable do not overlap with each other, and when it is determined based on the historical fault information that the current acquisition area of the drone is a fault area, control the drone to monitor the cable line at a second flight altitude, a second flight speed, and a second image capture accuracy, where the second flight altitude is less than the first flight altitude, the second flight speed is less than the first flight speed, and the second image capture accuracy is higher than the first image capture accuracy.

3. A cable monitoring device that optimizes a path based on image data, the device comprising: one or more processors; a storage device for storing one or more programs, which when executed by the one or more processors cause the one or more processors to implement the cable monitoring method for determining inspection parameters according to historical fault data as described in claim 2.

4. A storage medium storing computer-executable instructions, where the computer-executable instructions are used to execute the cable monitoring method for determining inspection parameters according to historical fault data as described in claim 2 when executed by a computer processor.

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