CN114637320A - A cable monitoring system that determines inspection parameters based on historical fault data - Google Patents

Abstract

The embodiment of the invention discloses a cable monitoring system for determining routing inspection parameters according to historical fault data, which comprises: the fault information acquisition module is configured to acquire historical fault information of each cable line recorded in the database; the acquisition parameter determining module is configured to determine acquisition parameters of the unmanned aerial vehicle based on the historical fault information, wherein the acquisition parameters comprise the precision of a shot image, the flight height and the flight speed; and the inspection control module is configured to control the unmanned aerial vehicle to inspect along each cable line, determine the cable line where the unmanned aerial vehicle is located currently according to the acquired position data of the unmanned aerial vehicle, and control the unmanned aerial vehicle to monitor cables based on acquisition parameters corresponding to the cable line where the unmanned aerial vehicle is located. According to the scheme, the problems that in the prior art, the cable inspection efficiency is low, the flexibility is poor and the pertinence is not strong are solved, the equipment inspection efficiency is improved, the cable inspection can be efficiently carried out, and the potential fault hazard can be found in the shortest time.

Description

A cable monitoring system that determines inspection parameters based on historical fault data

technical field

The embodiments of the present application relate to the technical field of cables, and in particular, to a cable monitoring system that determines inspection parameters according to historical fault data.

Background technique

With the widespread use of cables, more and more cable devices are used in various fields. As one of the important power transportation equipment, how to monitor it efficiently has become the main research topic.

In the related art, drones are installed to perform automatic cable inspection, but a single inspection method is mostly used in the inspection process. Low can not efficiently predict cable faults and needs to be improved.

SUMMARY OF THE INVENTION

The embodiment of the present invention provides a cable monitoring system for determining inspection parameters according to historical fault data, solves the characteristics of low cable inspection efficiency, poor flexibility, and poor pertinence in the prior art, and improves equipment inspection efficiency , which can efficiently carry out cable inspection and find hidden faults in the shortest time.

In a first aspect, an embodiment of the present invention provides a cable monitoring system for determining inspection parameters according to historical fault data, and the cable monitoring system includes:

The fault information acquisition module is configured to acquire the historical fault information of each cable line recorded in the database;

an acquisition parameter determination module, configured to determine the acquisition parameters of the UAV based on the historical fault information, the acquisition parameters including the accuracy of the captured image, the flight height and the flight speed;

The inspection control module is configured to control the UAV to perform inspection along each cable line, determine the cable line where the UAV is currently located according to the obtained position data of the UAV, and based on the cable where the UAV is located The acquisition parameters corresponding to the lines control the UAV to perform cable monitoring.

Optionally, the fault information acquisition module is configured as:

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

The acquisition parameter determination module is configured as:

The flight height and flight speed of the UAV are determined according to the fault location, and the accuracy of the captured image of the UAV is determined according to the failure type.

Optionally, the inspection control module is configured as:

Controlling the drone to perform patrol inspection along each cable line with the first flight altitude, the first flight speed and the first image shooting accuracy;

The current cable line where the drone is located is determined according to the obtained position of the drone and the cable division area, wherein the cable division areas of each cable do not overlap each other.

Optionally, the inspection control module is configured as:

When it is determined based on the historical fault information that the current collection area of the drone is a fault area, the drone is controlled to monitor the cable line at the second flight altitude, the second flight speed and the second image shooting accuracy, and the The second flight height is lower than the first flight height, the second flight speed is lower than the first flight speed, and the second image capturing accuracy is higher than the first image capturing accuracy.

In a second aspect, an embodiment of the present invention also provides a cable monitoring method for determining inspection parameters according to historical fault data, the method comprising:

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

Determine the acquisition parameters of the UAV based on the historical fault information, the acquisition parameters include the accuracy of the captured image, the flight altitude and the flight speed;

Control the drone to perform patrol inspection 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 location based on the collection parameters corresponding to the cable line. UAV for cable monitoring.

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

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

The determining of the acquisition parameters of the UAV based on the historical fault information includes:

The flight height and flight speed of the UAV are determined according to the fault location, and the accuracy of the captured image of the UAV is determined according to the failure type.

Optionally, the controlling the drone to perform patrol inspection along each cable line, including:

Controlling the drone to perform patrol inspection along each cable line with the first flight altitude, the first flight speed and the first image shooting accuracy;

The determining of the cable line where the drone is currently located according to the acquired position data of the drone includes:

The current cable line where the drone is located is determined according to the obtained position of the drone and the cable division area, wherein the cable division areas of each cable do not overlap each other.

Optionally, controlling the UAV to perform 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 collection area of the drone is a fault area, the drone is controlled to monitor the cable line at the second flight altitude, the second flight speed and the second image shooting accuracy, and the The second flight height is lower than the first flight height, the second flight speed is lower than the first flight speed, and the second image capturing accuracy is higher than the first image capturing accuracy.

In a third aspect, an embodiment of the present invention also provides a cable monitoring system device for determining inspection parameters according to historical fault data, the device comprising:

one or more processors;

storage means for storing one or more programs,

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 according to the embodiment of the present invention.

In a fourth aspect, the embodiments of the present invention further provide a storage medium for storing computer-executable instructions, where the computer-executable instructions, when executed by a computer processor, are used to perform the determination based on historical fault data described in the embodiments of the present invention A cable monitoring method for inspection parameters.

In the embodiment of the present invention, the fault information acquisition module is configured to acquire 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 drone based on the historical fault information, and the acquisition parameter The parameters include the accuracy of the captured image, the flight height and the flight speed; the inspection control module is configured to control the drone to perform inspection along each cable line, and determine the no-nonsense according to the obtained position data of the drone. The cable line where the human-machine is currently located, and the UAV is controlled to perform cable monitoring based on the acquisition parameters corresponding to the cable line where it is located. This solution solves the characteristics of low cable inspection efficiency, poor flexibility and poor pertinence in the prior art, improves equipment inspection efficiency, can efficiently conduct cable inspection, and find hidden faults in the shortest time.

Description of drawings

1 is a flowchart of a cable monitoring method for determining inspection parameters according to historical fault data according to an embodiment of the present invention;

2 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;

3 is a block diagram of a module structure of a cable monitoring system for determining inspection parameters according to historical fault data according to an embodiment of the present invention;

FIG. 4 is a schematic structural diagram of a cable monitoring system device for determining inspection parameters according to historical fault data according to an embodiment of the present invention.

Detailed ways

The embodiments of the present invention will be further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that, the specific embodiments described herein are only used to explain the embodiments of the present invention, but are not intended to limit the embodiments of the present invention. In addition, it should be noted that, for the convenience of description, the drawings only show some but not all structures related to the embodiments of the present invention.

1 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:

Step S101: Obtain historical fault information of each cable line recorded in the database.

In one embodiment, historical fault information for the cable line is recorded. Exemplarily, when the cable line is faulty, 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 location of a geographic coordinate area; the fault types include temperature fault types, deformation fault types, foreign object fault types, and the like.

Step S102: Determine acquisition parameters of the UAV based on the historical fault information, where the acquisition parameters include the accuracy of the captured image, the flight height and the flight speed.

In one embodiment, the acquisition parameters of the UAV are correspondingly determined according to the historical fault information recorded in the database. The acquisition parameter is the acquisition parameter at the fault location recorded by the UAV in the historical fault information, and the fault location is the location of the area delineated based on the fault point, which can be a circle with the fault point as the center and the preset length as the radius The predetermined length may be 20 meters or 50 meters, for example.

Among them, the acquisition parameters include the accuracy of the captured image, the flight altitude and the flight speed. Specifically, the flight height is the height of the UAV from the ground, the flight speed is the flight speed of the UAV relative to the ground, and the captured image accuracy is the image accuracy obtained by the camera mounted on the UAV. Image resolution, size, etc.

Step S103, controlling the UAV to perform patrol inspection along each cable line, determining the cable line where the UAV is currently located according to the obtained position data of the UAV, and based on the collection corresponding to the cable line where the UAV is located. Parameters control the drone for cable monitoring.

In one embodiment, the system platform sends the control command to the drone or sends the control command to the drone remote control device and forwards it to the drone for flight control of the drone, so as to realize the inspection of the cable line. Specifically, the inspection process may be inspection of cable lines one by one or one area by one area, and real-time photography and return of images above the cable lines by drones to achieve the purpose of inspection.

In one embodiment, when controlling the drone to perform patrol inspection, firstly, patrol inspection is performed along each cable line with the first flight altitude, the first flight speed, and the first image shooting accuracy set by default. It may be a collection parameter during patrol inspection of a non-faulty area determined based on historical fault data.

During the inspection process according to the default acquisition parameters, the UAV obtains the position of the UAV in real time, and determines the cable line where the UAV is currently located according to the obtained position data of the UAV. The method includes: 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 each other.

Optionally, when the cable area is divided, it is divided into non-overlapping areas, that is, when the UAV flies along the flight path, inspection is performed in the non-overlapping areas to improve the inspection efficiency. Specifically, when multiple staggered cable lines are included at the same time, the multiple cable lines correspond to one cable division area, that is, when the drone inspects the cable division area, it can inspect multiple cable lines at one time. For example, when shooting multiple cable lines that are intricately interlaced, after flying out of the cable division area where the multiple cable lines are interlaced, a single cable line will be inspected, and the inspection method of inspecting a single cable line will be restored. .

In one embodiment, controlling the UAV to perform 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 The drone monitors the cable line with a second flight altitude, a second flight speed and a second image capture accuracy, the second flight altitude is lower than the first flight altitude, and the second flight speed is lower than the first flight altitude The flight speed, the shooting accuracy of the second image is higher than the shooting accuracy of the first image. Specifically, during the inspection process, the second flight altitude, the second flight speed, and the second image shooting accuracy are used for inspection and shooting for the location area where the fault occurs. In this inspection method, the drone flies The altitude is lowered, the flight speed is slowed down, and higher-precision image capture and return are performed. Exemplarily, the second flight height is half of the first flight height, wherein the first flight height 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 The rate can be 1080P. Correspondingly, the picture resolution of the first image shooting accuracy may be 720P.

It can be seen from the above that the historical fault information of each cable line recorded in the database is obtained; the acquisition parameters of the UAV are determined based on the historical fault information, and the acquisition parameters include the accuracy of the captured image, the flight height and the flight speed; The drone conducts inspections along each cable line, determines the cable line where the drone is currently located according to the obtained position data of the drone, and controls the unmanned aerial vehicle based on the acquisition parameters corresponding to the cable line. It solves the characteristics of low cable inspection efficiency, poor flexibility and poor pertinence in the existing technology, improves the equipment inspection efficiency, can efficiently conduct cable inspection, and find hidden faults in the shortest time. .

FIG. 2 is a flowchart of another cable monitoring method for determining inspection parameters according to historical fault data according to an embodiment of the present invention. As shown in FIG. 2 , a specific and complete example is given. Specifically include:

Step S201 , acquiring the fault location and fault type of each cable line recorded in the database.

Step S202: Determine the flight height and flight speed of the UAV according to the fault location, and determine the accuracy of the captured image of the UAV according to the failure type.

In one embodiment, different fault types correspond to different precisions of the captured images. Optionally, for the type of the foreign object, the picture of the captured image is zoomed in for shooting; for the type of deformation, the picture of the captured image is correspondingly reduced. Among them, the foreign object type refers to the type of failure of the cable line caused by the sundries other than the cable, and the deformation type refers to the type of cable failure caused by the deformation of the cable line.

Step S203, controlling the UAV to perform patrol inspection along each cable line with the first flight altitude, the first flight speed and the first image shooting accuracy, and determine the location of the UAV according to the obtained position of the UAV and the cable division area. The cable line where the UAV is currently located, wherein the cable division areas of each cable do not overlap each other.

Step S204, when it is determined based on the historical fault information that the current collection area of the drone is a fault area, control the drone to monitor the cable line with the second flight altitude, the second flight speed and the second image shooting accuracy , the second flight height is lower than the first flight height, the second flight speed is lower than the first flight speed, and the second image capturing accuracy is higher than the first image capturing accuracy.

As can be seen from the above, the historical fault information of each cable line recorded in the database is obtained; the acquisition parameters of the UAV are determined based on the historical fault information, and the acquisition parameters include the accuracy of the captured image, the flight altitude and the flight speed; The UAV performs patrol inspection along each cable line, determines the current cable line where the UAV is located according to the obtained position data of the UAV, and controls the UAV based on the acquisition parameters corresponding to the cable line. Human-machine monitoring of cables solves the characteristics of low cable inspection efficiency, poor flexibility and poor pertinence in the existing technology, improves equipment inspection efficiency, can efficiently conduct cable inspection, and find faults in the shortest time. hidden danger.

3 is a block diagram of a 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 implement the cable monitoring method for determining inspection parameters according to historical fault data provided by the above-mentioned embodiment, with Execute the corresponding functional modules and beneficial effects of the method. As shown in FIG. 3, the device specifically includes: a fault information acquisition module 101, a collection parameter determination module 102, and an inspection control module 103, wherein,

The fault information acquisition module 101 is configured to acquire historical fault information of each cable line recorded in the database;

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

The inspection control module 103 is configured to control the UAV to perform inspection along each cable line, determine the cable line where the UAV is currently located according to the obtained position data of the UAV, and based on the location data of the UAV The acquisition parameters corresponding to the cable lines control the UAV to perform cable monitoring.

It can be seen from the above solution that the fault information acquisition module is configured to acquire 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, and the acquisition parameters Including the accuracy, flight height and flight speed of the captured image; the inspection control module is configured to control the drone to perform inspection along each cable line, and determine the unmanned aerial vehicle according to the obtained position data of the drone The cable line where the drone is currently located, and the UAV is controlled to perform cable monitoring based on the acquisition parameters corresponding to the cable line where it is located. This solution solves the characteristics of low cable inspection efficiency, poor flexibility and poor pertinence in the prior art, improves equipment inspection efficiency, can efficiently conduct cable inspection, and find hidden faults in the shortest time.

In a possible embodiment, the fault information acquisition module is configured as:

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

The acquisition parameter determination module is configured as:

The flight height and flight speed of the UAV are determined according to the fault location, and the accuracy of the captured image of the UAV is determined according to the failure type.

In a possible embodiment, the inspection control module is configured as:

Controlling the drone to perform patrol inspection along each cable line with the first flight altitude, the first flight speed and the first image shooting accuracy;

The current cable line where the drone is located is determined according to the obtained position of the drone and the cable division area, wherein the cable division areas of each cable do not overlap each other.

In a possible embodiment, the inspection control module is configured as:

When it is determined based on the historical fault information that the current collection area of the drone is a fault area, the drone is controlled to monitor the cable line at the second flight altitude, the second flight speed and the second image shooting accuracy, and the The second flight height is lower than the first flight height, the second flight speed is lower than the first flight speed, and the second image capturing accuracy is higher than the first image capturing accuracy.

FIG. 4 is a schematic structural diagram of a cable monitoring system device for determining inspection parameters according to historical fault data according to an embodiment of the present invention. As shown in FIG. 4 , 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, and one processor 201 is taken as an example in FIG. Connection, in Figure 4, the connection through the bus is taken as an example. As a computer-readable storage medium, the memory 202 can be used to store software programs, computer-executable programs, and modules, such as program instructions/modules corresponding to the cable monitoring method for determining inspection parameters based on historical fault data in the embodiment 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, the above-mentioned cable monitoring method for determining inspection parameters based on historical fault data. The input device 203 may be used to receive input numerical or character information, and to generate key signal input related to user settings and function control of the device. The output device 204 may include a display device such as a display screen.

Embodiments of the present invention further provide a storage medium containing computer-executable instructions, when the computer-executable instructions are executed by a computer processor for executing a cable monitoring method for determining inspection parameters according to historical fault data, the method include:

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

Determine the acquisition parameters of the UAV based on the historical fault information, the acquisition parameters include the accuracy of the captured image, the flight altitude and the flight speed;

Control the drone to perform patrol inspection 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 location based on the collection parameters corresponding to the cable line. UAV for cable monitoring.

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

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

The determining of the acquisition parameters of the UAV based on the historical fault information includes:

The flight height and flight speed of the UAV are determined according to the fault location, and the accuracy of the captured image of the UAV is determined according to the failure type.

Optionally, the controlling the drone to perform patrol inspection along each cable line, including:

Controlling the drone to perform patrol inspection along each cable line with the first flight altitude, the first flight speed and the first image shooting accuracy;

The determining of the cable line where the drone is currently located according to the acquired position data of the drone includes:

The current cable line where the drone is located is determined according to the obtained position of the drone and the cable division area, wherein the cable division areas of each cable do not overlap each other.

Optionally, controlling the UAV to perform 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 collection area of the drone is a fault area, the drone is controlled to monitor the cable line at the second flight altitude, the second flight speed and the second image shooting accuracy, and the The second flight height is lower than the first flight height, the second flight speed is lower than the first flight speed, and the second image capturing accuracy is higher than the first image capturing accuracy.

It is worth noting that in the above-mentioned embodiment of the cable monitoring system device for determining inspection parameters based on historical fault data, the units and modules included are only divided according to functional logic, but are not limited to the above-mentioned division, as long as they can It is enough to realize the corresponding functions; in addition, the specific names of the functional units are only for the convenience of distinguishing from each other, and are not used to limit the protection scope of the embodiments of the present invention.

Note that the above are only preferred embodiments and applied technical principles of the embodiments of the present invention. Those skilled in the art will understand that the embodiments of the present invention are not limited to the specific embodiments described herein, and various obvious changes, readjustments and substitutions can be made to 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 detail through the above embodiments, the embodiments of the present invention are not limited to the above embodiments, and may also include more other equivalents without departing from the concept of the embodiments of the present invention. Examples, the scope of the embodiments of the invention is determined by the scope of the appended claims.

Claims (10)

1. Confirm the cable monitoring system who patrols and examines parameter according to historical fault data, its characterized in that includes:

the fault information acquisition module is configured to acquire historical fault information of each cable line recorded in the database;

the acquisition parameter determining module is configured to determine acquisition parameters of the unmanned aerial vehicle based on the historical fault information, wherein the acquisition parameters comprise the precision of a shot image, the flight height and the flight speed;

and the inspection control module is configured to control the unmanned aerial vehicle to inspect along each cable line, determine the cable line where the unmanned aerial vehicle is located currently according to the acquired position data of the unmanned aerial vehicle, and control the unmanned aerial vehicle to monitor cables based on acquisition parameters corresponding to the cable line where the unmanned aerial vehicle is located.

2. The cable monitoring system according to claim 1, wherein the fault information acquisition module is configured to:

acquiring fault positions and fault types of all cable lines recorded in a database;

the acquisition parameter determination module is configured to:

and determining the flight height and the flight speed of the unmanned aerial vehicle according to the fault position, and determining the accuracy of the shot image of the unmanned aerial vehicle according to the fault type.

3. The cable monitoring system according to claim 1, wherein the routing inspection control module is configured to:

controlling the unmanned aerial vehicle to perform inspection along each cable line at a first flying height, a first flying speed and a first image shooting precision;

and determining a cable line where the unmanned aerial vehicle is located currently according to the acquired position of the unmanned aerial vehicle and the cable division areas, wherein the cable division areas of the cables are not mutually overlapped.

4. The cable monitoring system according to claim 3, wherein the routing inspection control module is configured to:

when determining that the current acquisition area of the unmanned aerial vehicle is a fault area based on the historical fault information, controlling the unmanned aerial vehicle to monitor a cable line by using a second flying height, a second flying speed and a second image shooting precision, wherein the second flying height is smaller than the first flying height, the second flying speed is smaller than the first flying speed, and the second image shooting precision is higher than the first image shooting precision.

5. According to the cable monitoring method of historical fault data determination patrolling parameter, its characterized in that includes:

acquiring historical fault information of each cable line recorded in a database;

determining acquisition parameters of the unmanned aerial vehicle based on the historical fault information, wherein the acquisition parameters comprise the precision of a shot image, the flight height and the flight speed;

and controlling the unmanned aerial vehicle to patrol along each cable line, determining the cable line where the unmanned aerial vehicle is located currently according to the acquired position data of the unmanned aerial vehicle, and controlling the unmanned aerial vehicle to carry out cable monitoring based on acquisition parameters corresponding to the cable line where the unmanned aerial vehicle is located.

6. The cable monitoring method for determining routing inspection parameters according to historical fault data of claim 5, wherein the obtaining of historical fault information of each cable line recorded in the database includes:

acquiring fault positions and fault types of all cable lines recorded in a database;

the determining of the acquisition parameters of the unmanned aerial vehicle based on the historical fault information comprises:

and determining the flight height and the flight speed of the unmanned aerial vehicle according to the fault position, and determining the accuracy of the shot image of the unmanned aerial vehicle according to the fault type.

7. The cable monitoring method for determining inspection parameters according to historical fault data of claim 5, wherein the controlling the unmanned aerial vehicle to inspect along various cable lines comprises:

controlling the unmanned aerial vehicle to perform inspection along each cable line at a first flying height, a first flying speed and a first image shooting precision;

the determining the cable line where the unmanned aerial vehicle is located according to the acquired position data of the unmanned aerial vehicle includes:

and determining a cable line where the unmanned aerial vehicle is located currently according to the acquired position of the unmanned aerial vehicle and the cable division areas, wherein the cable division areas of the cables are not mutually overlapped.

8. The cable monitoring method for determining routing inspection parameters according to historical fault data of claim 7, wherein the controlling the unmanned aerial vehicle to perform cable monitoring based on the acquisition parameters corresponding to the cable line includes:

when determining that the current acquisition area of the unmanned aerial vehicle is a fault area based on the historical fault information, controlling the unmanned aerial vehicle to monitor a cable line by using a second flying height, a second flying speed and a second image shooting precision, wherein the second flying height is smaller than the first flying height, the second flying speed is smaller than the first flying speed, and the second image shooting precision is higher than the first image shooting precision.

9. 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 of determining inspection parameters from historical fault data according to any one of claims 5 to 8.

10. A storage medium storing computer executable instructions which when executed by a computer processor are for performing a cable monitoring method of determining inspection parameters from historical fault data according to any one of claims 5 to 8.

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