CN115575768A - Power transmission line fault positioning method and device based on inspection unmanned aerial vehicle - Google Patents

Power transmission line fault positioning method and device based on inspection unmanned aerial vehicle Download PDF

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Publication number
CN115575768A
CN115575768A CN202211381332.XA CN202211381332A CN115575768A CN 115575768 A CN115575768 A CN 115575768A CN 202211381332 A CN202211381332 A CN 202211381332A CN 115575768 A CN115575768 A CN 115575768A
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transmission line
power transmission
signal
aerial vehicle
unmanned aerial
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Inventor
张英
饶成成
成国雄
朱凌
缪钟灵
刘琦
张丽萍
陈海登
廖如超
王年孝
林俊省
黄庆淡
高天舒
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Guangdong Power Grid Co Ltd
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Guangdong Power Grid Co Ltd
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Priority to CN202211381332.XA priority Critical patent/CN115575768A/en
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    • GPHYSICS
    • G01MEASURING; TESTING
    • G01RMEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
    • G01R31/00Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
    • G01R31/08Locating faults in cables, transmission lines, or networks
    • G01R31/081Locating faults in cables, transmission lines, or networks according to type of conductors
    • G01R31/085Locating faults in cables, transmission lines, or networks according to type of conductors in power transmission or distribution lines, e.g. overhead
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01RMEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
    • G01R31/00Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
    • G01R31/08Locating faults in cables, transmission lines, or networks
    • G01R31/088Aspects of digital computing
    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y04INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
    • Y04SSYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
    • Y04S10/00Systems supporting electrical power generation, transmission or distribution
    • Y04S10/50Systems or methods supporting the power network operation or management, involving a certain degree of interaction with the load-side end user applications
    • Y04S10/52Outage or fault management, e.g. fault detection or location

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  • General Physics & Mathematics (AREA)
  • Engineering & Computer Science (AREA)
  • Mathematical Physics (AREA)
  • Theoretical Computer Science (AREA)
  • Locating Faults (AREA)

Abstract

The application discloses a power transmission line fault positioning method and device based on an inspection unmanned aerial vehicle, wherein a signal generator sends a preset current signal to a power transmission line, the preset current signal is used for carrying out abnormity detection on the power transmission line, a signal collector on the unmanned aerial vehicle collects the current signal on the power transmission line along the line direction of the power transmission line, and the current signal collected by the signal collector is analyzed so as to be combined with the signal collector on the unmanned aerial vehicle by utilizing the preset current signal to determine whether the power transmission line has a fault; if the signal collector collects the preset current signal, fault location is carried out on the power transmission line through the signal locator on the unmanned aerial vehicle according to the current signal on the power transmission line, fault location information is obtained, and the fault location information is returned to the ground terminal so that the fault location can be determined by combining the signal locator with the signal collector, manual inspection by a user is not needed, and the fault location efficiency is improved.

Description

Power transmission line fault positioning method and device based on inspection unmanned aerial vehicle
Technical Field
The application relates to the technical field of power transmission line fault inspection, in particular to a power transmission line fault positioning method and device based on inspection unmanned aerial vehicle.
Background
The transmission line is a high-voltage line used for transmitting electric energy, the overhead line is widely distributed, and line equipment is exposed to the environment of nature for a long time and runs, and is easy to be attacked by various weather conditions (such as storm, flood scouring, ice and snow sealing, cloud and fog, lightning stroke and the like) and other external force damages (such as tree and bamboo toppling and colliding with a lead, grounding short circuit caused by birds and beasts and the like), so that the inspection and the inspection of the line are enhanced in the running process of the line, the defects of the equipment and the factors endangering the safe running of the line are discovered at any time, and the hidden danger is repaired and eliminated in time.
At present, power transmission line inspection is mainly implemented by observing, inspecting and measuring each part of a power transmission line through naked eyes or by means of a telescope and other equipment by inspection personnel so as to master the operation condition of the power transmission line and discover potential safety hazards of the line in time. However, in severe weather, the manual inspection mode is influenced by strong wind, heavy rain or heavy snow, so that the fault positioning is slow, and the inspection efficiency is influenced.
Disclosure of Invention
The application provides a power transmission line fault positioning method and device based on an inspection unmanned aerial vehicle, and aims to solve the technical problem that the current power transmission line fault inspection mode is slow in fault positioning.
In order to solve the technical problem, in a first aspect, the application provides a power transmission line fault positioning method based on inspection unmanned aerial vehicle, including:
sending a preset current signal to a power transmission line through a signal generator, wherein the preset current signal is used for carrying out abnormity detection on the power transmission line;
collecting current signals on the power transmission line along the line direction of the power transmission line through a signal collector on the unmanned aerial vehicle;
analyzing the current signal acquired by the signal acquisition device;
if the signal collector collects the preset current signal, fault location is carried out on the power transmission line through a signal locator on the unmanned aerial vehicle according to the current signal on the power transmission line, and fault location information is obtained;
and returning the fault positioning information to the ground terminal.
In some implementations, the signal collector is a current sensing sensor, and the signal collector on the unmanned aerial vehicle collects the current signal on the power transmission line along the line direction of the power transmission line, including:
and acquiring current signals on the three-phase cable of the power transmission line through the current induction sensor.
In some implementation manners, the fault locating, performed on the power transmission line according to the current signal on the power transmission line by the signal locator on the unmanned aerial vehicle, to obtain fault locating information includes:
sampling current signals collected by the signal collector by using a binary search algorithm through a signal locator on the unmanned aerial vehicle according to current abnormal phases of a three-phase cable to obtain a target current array, wherein the target current array is a current signal set with the line direction as the sequence, and the target current array comprises preset current signals;
determining the fault direction of the power transmission line according to the target current array;
and determining the fault positioning information of the power transmission line according to a plurality of fault directions obtained by executing the binary search algorithm for a plurality of times.
In some implementations, the determining the fault direction of the power transmission line according to the target current array includes:
determining whether a middle element of the target current array is the preset current signal;
and if the intermediate element is not the preset current signal, determining the position relation between the intermediate element and the preset current signal to obtain the fault direction.
In some implementations, the analyzing the current signal collected by the signal collector includes:
calculating the grounding resistance of the power transmission line based on the current signal acquired by the signal acquisition device;
and if the grounding resistance of the power transmission line is increased, judging that the signal collector collects the preset current signal.
In some implementations, the calculating the ground resistance of the power transmission line based on the current signal collected by the signal collector includes:
calculating the grounding resistance of the power transmission line according to the current signal acquired by the signal acquisition device by using a preset resistance calculation formula, wherein the preset resistance calculation formula is as follows:
Figure BDA0003927434050000031
wherein R is a ground resistance, I is a current signal, U 1 For measuring voltage of current abnormal phase, U 2 Is the measured voltage of the non-current abnormal phase.
In some implementations, the returning the fault location information to the ground terminal includes:
through wireless transmitter on the unmanned aerial vehicle will fault locating information wireless transmission extremely ground terminal, wireless transmission includes any one or more in 4GDTU, GPRS, 5GDTU, lora and zigbee.
In a second aspect, the present application further provides a transmission line fault location device based on unmanned aerial vehicle patrols and examines, include:
the device comprises a sending module, a receiving module and a processing module, wherein the sending module is used for sending a preset current signal to the power transmission line through a signal generator, and the preset current signal is used for carrying out abnormity detection on the power transmission line;
the acquisition module is used for acquiring a current signal on the power transmission line along the line direction of the power transmission line through a signal acquisition device on the unmanned aerial vehicle;
the analysis module is used for analyzing the current signals collected by the signal collector;
the positioning module is used for positioning the fault of the power transmission line according to the current signal on the power transmission line through a signal positioner on the unmanned aerial vehicle to obtain fault positioning information if the signal collector collects the preset current signal;
and the return module is used for returning the fault positioning information to the ground terminal.
In a third aspect, the application further provides an unmanned aerial vehicle device, which includes a processor and a memory, where the memory is used to store a computer program, and when the computer program is executed by the processor, the power transmission line fault location method based on the inspection unmanned aerial vehicle according to the first aspect is implemented.
In a fourth aspect, the present application further provides a computer-readable storage medium, which stores a computer program, and when the computer program is executed by a processor, the method for locating a power transmission line fault based on an inspection unmanned aerial vehicle according to the first aspect is implemented.
Compared with the prior art, the application has the following beneficial effects at least:
the method comprises the steps that a signal generator sends a preset current signal to a power transmission line, the preset current signal is used for carrying out abnormity detection on the power transmission line, a signal collector on an unmanned aerial vehicle collects the current signal on the power transmission line along the line direction of the power transmission line, and the current signal collected by the signal collector is analyzed, so that whether the power transmission line has a fault or not is determined by combining the preset current signal with the signal collector on the unmanned aerial vehicle; if the signal collector collects the preset current signal, the fault location information is obtained by performing fault location on the power transmission line according to the current signal on the power transmission line through the signal locator on the unmanned aerial vehicle, and the fault location information is returned to the ground terminal so as to determine the fault location by combining the signal locator with the signal collector, so that manual inspection by a user is not needed, inconvenience caused by handheld detection equipment and section-by-section troubleshooting of a traditional fault location device is effectively overcome, maintenance personnel can control the unmanned aerial vehicle to locate the line fault in a proper environment, and the fault location efficiency is improved.
Drawings
Fig. 1 is a schematic flow chart of a power transmission line fault positioning method based on an inspection unmanned aerial vehicle according to an embodiment of the present application;
fig. 2 is a schematic structural diagram of a power transmission line fault positioning device based on an inspection unmanned aerial vehicle according to an embodiment of the present application;
fig. 3 is a schematic structural diagram of a computer device according to an embodiment of the present application.
Detailed Description
The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only a part of the embodiments of the present application, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
Referring to fig. 1, fig. 1 is a schematic flow chart of a power transmission line fault positioning method based on an inspection unmanned aerial vehicle according to an embodiment of the present application. The power transmission line fault positioning method based on the inspection unmanned aerial vehicle can be applied to computer equipment, and the computer equipment comprises but is not limited to equipment such as a smart phone, a notebook computer, a tablet computer, a desktop computer, a physical server and a cloud server. As shown in fig. 1, the method for locating the power transmission line fault based on the inspection unmanned aerial vehicle of the embodiment includes steps S101 to S105, which are detailed as follows:
step S101, sending a preset current signal to a power transmission line through a signal generator, wherein the preset current signal is used for carrying out abnormity detection on the power transmission line.
In this step, the preset current signal is an S signal, so that a special current signal (i.e., an S signal) is injected into the system by using a short circuit of a primary side during a single-phase ground fault and the ground phase PT which is temporarily in an inoperative state, and the ground fault location is realized by detecting and tracking a path of the signal by adopting a tracking principle. Optionally, the signal generator sends the preset current signal to the power transmission line periodically.
And S102, collecting current signals on the power transmission line along the line direction of the power transmission line through a signal collector on the unmanned aerial vehicle.
In this step, the signal collector may be a current sensing sensor. Unmanned aerial vehicle removes with transmission line's line direction to gather the electric current signal on the transmission line through signal collector, thereby need not the user and climb the cable and carry out artifical fault detection. It can be understood that the current signal collected by the signal collector includes the preset current signal and the normal transmission current signal.
In some embodiments, the step S102 includes: and acquiring current signals on the three-phase cable of the power transmission line through the current induction sensor.
In this embodiment, the current condition of the three-phase power of the power transmission line is acquired through the current induction sensor, so that the fault detection of the power transmission line can be realized by utilizing the characteristic that the S signal does not circulate in the normal grounding phase and circulates in the fault grounding phase.
And step S103, analyzing the current signal acquired by the signal acquisition device.
In this step, the current signal is analyzed to determine whether the current signal collected by the signal collector is a preset current signal, so as to determine a fault.
In some embodiments, the step S103 includes:
calculating the grounding resistance of the power transmission line based on the current signal acquired by the signal acquisition device;
and if the grounding resistance of the power transmission line is increased, judging that the signal collector collects the preset current signal.
In this embodiment, when the S signal passes through the fault ground phase, the ground resistance is increased, and the current value is gradually decreased, so that whether the current signal collected by the signal collector is the preset current signal is determined by calculating the ground resistance, thereby realizing fault detection.
Optionally, a preset resistance calculation formula is used to calculate the ground resistance of the power transmission line according to the current signal collected by the signal collector, and the preset resistance calculation formula is:
Figure BDA0003927434050000061
wherein R is a ground resistance, I is a current signal, U 1 For measuring voltage of current abnormal phase, U 2 Is the measured voltage of the non-current abnormal phase.
In this optional embodiment, the current abnormal phase is a fault grounding phase in the three-phase power of the power transmission line, and the non-current abnormal phase is a phase other than the fault grounding phase in the three-phase power of the power transmission line.
And step S104, if the signal collector collects the preset current signal, fault location is carried out on the power transmission line through a signal locator on the unmanned aerial vehicle according to the current signal on the power transmission line, and fault location information is obtained.
In the step, based on a binary search algorithm, the current signals at different positions on the transmission line are collected in the sampling period with the same generation period of the signal generator, and the fault position is determined according to the current signals at different positions.
In some embodiments, the step S104 includes:
sampling current signals collected by the signal collector by using a binary search algorithm through a signal locator on the unmanned aerial vehicle according to current abnormal phases of a three-phase cable to obtain a target current array, wherein the target current array is a current signal set with a line direction as a sequence, and the target current array comprises preset current signals;
determining the fault direction of the power transmission line according to the target current array;
and determining the fault positioning information of the power transmission line according to a plurality of fault directions obtained by executing the binary search algorithm for a plurality of times.
In this embodiment, the current abnormal phase is a fault grounding phase, a binary search algorithm is used, and current signals are collected at different positions of the power transmission line in a sampling period with the same sending period of the signal generator, so as to obtain a current array, a fault direction is determined, and the binary search algorithm is executed again based on the fault direction until fault location information of the power transmission line is determined.
Optionally, the determining the fault direction of the power transmission line according to the target current array includes:
determining whether a middle element of the target current array is the preset current signal;
and if the intermediate element is not the preset current signal, determining the position relation between the intermediate element and the preset current signal to obtain the fault direction.
In this optional embodiment, for example, the power transmission line includes a segment a to a segment D, and the binary search algorithm is executed for the first time: acquiring current signals from the sections A to D of the power transmission line to obtain a target current array 1, determining whether a middle element of the target current array 1 is a preset current signal, if not, indicating that the fault position is between the sections (B + C)/2 to D, executing a second binary search algorithm on the sections (B + C)/2 to D, if so, indicating that the fault position is between the sections A to (B + C)/2, executing the second binary search algorithm on the sections A to (B + C)/2, and repeating until the fault position is determined, so as to obtain fault positioning information.
And step S105, returning the fault positioning information to the ground terminal.
In this step, optionally, the fault location information is wirelessly transmitted to the ground terminal through a wireless transmitter on the drone, where the wireless transmission includes any one or more of 4GDTU, GPRS, 5GDTU, lora, and zigbee, and the ground terminal includes but is not limited to a smartphone, a tablet computer, a laptop computer, a desktop computer, and the like.
In order to execute the power transmission line fault positioning method based on the inspection unmanned aerial vehicle corresponding to the method embodiment, corresponding functions and technical effects are achieved. Referring to fig. 2, fig. 2 shows a structural block diagram of a transmission line fault positioning device based on an inspection unmanned aerial vehicle according to an embodiment of the present application. For the convenience of explanation, only show the part relevant with this embodiment, the transmission line fault positioner based on patrol and examine unmanned aerial vehicle that this application embodiment provided includes:
the transmission module 201 is configured to transmit a preset current signal to the power transmission line through the signal generator, where the preset current signal is used to perform anomaly detection on the power transmission line.
And the acquisition module 202 is used for acquiring current signals on the power transmission line along the line direction of the power transmission line through a signal acquisition device on the unmanned aerial vehicle.
And the analysis module 203 is used for analyzing the current signal acquired by the signal acquisition device.
And the positioning module 204 is configured to perform fault positioning on the power transmission line according to the current signal on the power transmission line through the signal positioner on the unmanned aerial vehicle to obtain fault positioning information if the signal collector collects the preset current signal.
And a returning module 205, configured to return the fault location information to the ground terminal.
In some embodiments, the signal collector is a current sensing sensor, and the collecting module 202 is configured to:
and acquiring current signals on the three-phase cable of the power transmission line through the current induction sensor.
In some embodiments, the positioning module 204 includes:
the sampling unit is used for sampling the current signals acquired by the signal acquisition device according to the current abnormal phase of the three-phase cable by utilizing a binary search algorithm through a signal positioner on the unmanned aerial vehicle to obtain a target current array, wherein the target current array is a current signal set with the line direction as the sequence, and the target current array comprises the preset current signals;
the first determining unit is used for determining the fault direction of the power transmission line according to the target current array;
and the second determining unit is used for determining the fault positioning information of the power transmission line according to a plurality of fault directions obtained by executing the binary search algorithm for a plurality of times.
In some embodiments, the first determining unit is configured to:
determining whether a middle element of the target current array is the preset current signal;
and if the intermediate element is not the preset current signal, determining the position relation between the intermediate element and the preset current signal to obtain the fault direction.
In some embodiments, the analysis module 203 comprises:
the computing unit is used for computing the grounding resistance of the power transmission line based on the current signal acquired by the signal acquisition unit;
and the judging unit is used for judging that the signal collector collects the preset current signal if the grounding resistance of the power transmission line is increased.
In some embodiments, the computing unit is to:
calculating the grounding resistance of the power transmission line according to the current signal acquired by the signal acquisition device by using a preset resistance calculation formula, wherein the preset resistance calculation formula is as follows:
Figure BDA0003927434050000091
wherein R is a ground resistance, I is a current signal, U 1 For measuring voltage of current abnormal phase, U 2 Is the measured voltage of the non-current abnormal phase.
In some embodiments, the return module 205 is configured to:
through wireless transmitter on the unmanned aerial vehicle will fault locating information wireless transmission extremely ground terminal, wireless transmission includes any one or more in 4GDTU, GPRS, 5GDTU, lora and zigbee.
The transmission line fault positioning device based on the inspection unmanned aerial vehicle can implement the transmission line fault positioning method based on the inspection unmanned aerial vehicle. The alternatives in the above-described method embodiments are also applicable to this embodiment and will not be described in detail here. The rest of the embodiments of the present application may refer to the contents of the above method embodiments, and in this embodiment, details are not repeated.
Fig. 3 is a schematic structural diagram of an unmanned aerial vehicle device provided in an embodiment of the present application. As shown in fig. 3, the unmanned aerial vehicle device 3 of this embodiment includes: at least one processor 30 (only one shown in fig. 3), a memory 31, and a computer program 32 stored in the memory 31 and executable on the at least one processor 30, the processor 30 implementing the steps of any of the above-described method embodiments when executing the computer program 32.
Unmanned aerial vehicle equipment 3 can be computing equipment such as smart mobile phone, panel computer, desktop computer and high in the clouds server. The drone device may include, but is not limited to, a processor 30, a memory 31. Those skilled in the art will appreciate that fig. 3 is merely an example of the drone device 3 and does not constitute a limitation to the drone device 3, and may include more or fewer components than shown, or combine certain components, or different components, for example, and may also include input output devices, network access devices, etc.
The Processor 30 may be a Central Processing Unit (CPU), and the Processor 30 may be other general purpose Processor, a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), an off-the-shelf Programmable Gate Array (FPGA) or other Programmable logic device, discrete Gate or transistor logic device, discrete hardware component, etc. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like.
The memory 31 may in some embodiments be an internal storage unit of the drone device 3, such as a hard disk or a memory of the drone device 3. In other embodiments, the memory 31 may also be an external storage device of the drone device 3, such as a plug-in hard disk, a Smart Media Card (SMC), a Secure Digital (SD) Card, a Flash memory Card (Flash Card), and the like, which are provided on the drone device 3. Further, the memory 31 may also include both an internal storage unit and an external storage device of the drone device 3. The memory 31 is used for storing an operating system, an application program, a BootLoader (BootLoader), data, and other programs, such as program codes of the computer program. The memory 31 may also be used to temporarily store data that has been output or is to be output.
In addition, an embodiment of the present application further provides a computer-readable storage medium, where a computer program is stored, and when the computer program is executed by a processor, the computer program implements the steps in any of the method embodiments described above.
The embodiment of the present application provides a computer program product, which, when running on an unmanned aerial vehicle device, enables the unmanned aerial vehicle device to implement the steps in the above method embodiments when executed.
In several embodiments provided herein, it will be understood that each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved.
The functions, if implemented in the form of software functional modules and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present application, or portions thereof, which substantially or substantially contribute to the prior art, may be embodied in the form of a software product stored in a storage medium, including instructions for causing a drone device to perform all or part of the steps of the method according to the various embodiments of the present application. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and other various media capable of storing program codes.
The above-mentioned embodiments are provided to further explain the objects, technical solutions and advantages of the present application in detail, and it should be understood that the above-mentioned embodiments are only examples of the present application and are not intended to limit the scope of the present application. It should be understood that any modifications, equivalents, improvements and the like, which come within the spirit and principle of the present application, may occur to those skilled in the art and are intended to be included within the scope of the present application.

Claims (10)

1. A power transmission line fault positioning method based on an inspection unmanned aerial vehicle is characterized by comprising the following steps:
sending a preset current signal to a power transmission line through a signal generator, wherein the preset current signal is used for carrying out abnormity detection on the power transmission line;
collecting current signals on the power transmission line along the line direction of the power transmission line through a signal collector on the unmanned aerial vehicle;
analyzing the current signal acquired by the signal acquisition device;
if the signal collector collects the preset current signal, fault location is carried out on the power transmission line through a signal locator on the unmanned aerial vehicle according to the current signal on the power transmission line, and fault location information is obtained;
and returning the fault positioning information to the ground terminal.
2. The transmission line fault location method based on the inspection unmanned aerial vehicle of claim 1, wherein the signal collector is a current induction sensor, and the collecting of the current signal on the transmission line along the line direction of the transmission line by the signal collector on the unmanned aerial vehicle comprises:
and acquiring current signals on the three-phase cable of the power transmission line through the current induction sensor.
3. The electric transmission line fault location method based on the inspection unmanned aerial vehicle of claim 1, wherein the fault location of the electric transmission line is performed by the signal locator on the unmanned aerial vehicle according to the current signal on the electric transmission line to obtain fault location information, and the method comprises the following steps:
sampling current signals collected by the signal collector by using a binary search algorithm through a signal locator on the unmanned aerial vehicle according to current abnormal phases of a three-phase cable to obtain a target current array, wherein the target current array is a current signal set with a line direction as a sequence, and the target current array comprises preset current signals;
determining the fault direction of the power transmission line according to the target current array;
and determining the fault positioning information of the power transmission line according to a plurality of fault directions obtained by executing the binary search algorithm for a plurality of times.
4. The transmission line fault location method based on the inspection unmanned aerial vehicle of claim 3, wherein the determining the fault direction of the transmission line according to the target current array comprises:
determining whether a middle element of the target current array is the preset current signal;
and if the intermediate element is not the preset current signal, determining the position relation between the intermediate element and the preset current signal to obtain the fault direction.
5. The inspection unmanned aerial vehicle-based power transmission line fault location method according to claim 1, wherein the analyzing of the current signals collected by the signal collector includes:
calculating the grounding resistance of the power transmission line based on the current signal acquired by the signal acquisition device;
and if the grounding resistance of the power transmission line is increased, judging that the signal collector collects the preset current signal.
6. The transmission line fault location method based on the inspection unmanned aerial vehicle of claim 5, wherein the calculating the grounding resistance of the transmission line based on the current signal collected by the signal collector comprises:
calculating the grounding resistance of the power transmission line according to the current signal acquired by the signal acquisition device by using a preset resistance calculation formula, wherein the preset resistance calculation formula is as follows:
Figure FDA0003927434040000021
wherein R is a ground resistance, I is a current signal, U 1 For measuring voltage of current abnormal phase, U 2 Is the measured voltage of the non-current abnormal phase.
7. The power transmission line fault location method based on the inspection unmanned aerial vehicle of claim 1, wherein the returning of the fault location information to the ground terminal comprises:
through wireless transmitter on the unmanned aerial vehicle will fault locating information wireless transmission extremely ground terminal, wireless transmission includes any one or more in 4GDTU, GPRS, 5GDTU, lora and the zigbee.
8. The utility model provides a transmission line fault positioning device based on unmanned aerial vehicle patrols and examines, its characterized in that includes:
the transmission module is used for transmitting a preset current signal to the power transmission line through the signal generator, wherein the preset current signal is used for carrying out abnormity detection on the power transmission line;
the acquisition module is used for acquiring a current signal on the power transmission line along the line direction of the power transmission line through a signal acquisition device on the unmanned aerial vehicle;
the analysis module is used for analyzing the current signals collected by the signal collector;
the positioning module is used for positioning the fault of the power transmission line according to the current signal on the power transmission line through a signal positioner on the unmanned aerial vehicle to obtain fault positioning information if the signal collector collects the preset current signal;
and the return module is used for returning the fault positioning information to the ground terminal.
9. An unmanned aerial vehicle device comprising a processor and a memory, the memory being used to store a computer program which, when executed by the processor, implements the inspection unmanned aerial vehicle-based power transmission line fault location method of any one of claims 1 to 7.
10. A computer-readable storage medium, characterized in that it stores a computer program, which when executed by a processor implements the inspection drone-based transmission line fault location method according to any one of claims 1 to 7.
CN202211381332.XA 2022-11-04 2022-11-04 Power transmission line fault positioning method and device based on inspection unmanned aerial vehicle Pending CN115575768A (en)

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CN117074869A (en) * 2023-10-16 2023-11-17 盛隆电气集团有限公司 Distribution line fault positioning method and system

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN117074869A (en) * 2023-10-16 2023-11-17 盛隆电气集团有限公司 Distribution line fault positioning method and system
CN117074869B (en) * 2023-10-16 2023-12-19 盛隆电气集团有限公司 Distribution line fault positioning method and system

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