CN116679754A - Unmanned aerial vehicle-based power fault inspection method and device, medium and electronic equipment - Google Patents

Abstract

The embodiment of the application discloses an unmanned aerial vehicle-based power failure inspection method, an unmanned aerial vehicle-based power failure inspection device, a medium and electronic equipment. The method comprises the following steps: determining a target unmanned aerial vehicle responsible for inspecting the target power equipment from the candidate unmanned aerial vehicles according to a target area where the target power equipment is located; controlling the target unmanned aerial vehicle to go to the target area, and collecting a field image of the target power equipment; and determining a fault inspection result of the target power equipment based on the field image of the target power equipment. The technical scheme of the application can improve the automation degree of the power failure inspection, reduce the cost of the power failure inspection and improve the efficiency of the power failure inspection.

Description

Unmanned aerial vehicle-based power fault inspection method and device, medium and electronic equipment

Technical Field

The application relates to the technical field of computers, in particular to the field of electric power safety, and particularly relates to an electric power fault inspection method, device, medium and electronic equipment based on an unmanned aerial vehicle.

Background

The power grid consists of a large number of power transmission lines, most of the power transmission lines are arranged in an outdoor environment, the power transmission lines outside are easy to be damaged by external force, and power failures such as line short circuit, line open circuit, line disconnection, tower inversion and the like occur, so that the power failure accident is caused by tripping of the power transmission lines.

The construction factors are main external forces causing the damage of the power transmission line, and the construction area and the hidden danger area are obviously increased along with the promotion of infrastructure projects in urban areas and peripheral areas, so that the assault type construction and the assault type construction point are wide in multiple surfaces, and the difficulty of power transmission line fault inspection is gradually improved.

In the related art, the power transmission line fault inspection is mainly performed manually, and although video monitoring is also erected in a key area, manual screening is still needed to judge whether a fault occurs on site. At present, the defects of increasingly complex and huge power grid, such as high hysteresis, high consumption, low efficiency and the like of manual mode are increasingly obvious, and the requirements of electric power safety are difficult to meet.

Disclosure of Invention

The application provides an unmanned aerial vehicle-based power failure inspection method, an unmanned aerial vehicle-based power failure inspection device, a medium and electronic equipment, which can achieve the purposes of improving the automation degree of power failure inspection, reducing inspection cost and improving inspection efficiency.

According to a first aspect of the application, there is provided an unmanned aerial vehicle-based power failure inspection method, the method comprising:

determining a target unmanned aerial vehicle responsible for inspecting the target power equipment from the candidate unmanned aerial vehicles according to a target area where the target power equipment is located;

controlling the target unmanned aerial vehicle to go to the target area, and collecting a field image of the target power equipment;

and determining a fault inspection result of the target power equipment based on the field image of the target power equipment.

According to a second aspect of the present application, there is provided an unmanned aerial vehicle-based power failure inspection device, the device comprising:

the unmanned aerial vehicle selection module is used for determining a target unmanned aerial vehicle responsible for inspecting the target power equipment from the candidate unmanned aerial vehicles according to the target area where the target power equipment is located;

the on-site image acquisition module is used for controlling the target unmanned aerial vehicle to go to the target area and acquiring on-site images of the target power equipment;

and the fault inspection result determining module is used for determining a fault inspection result of the target power equipment based on the field image of the target power equipment.

According to a third aspect of the present application, an embodiment of the present application provides a computer readable storage medium, on which a computer program is stored, which when executed by a processor implements the unmanned aerial vehicle-based power failure inspection method according to the embodiment of the present application.

According to a fourth aspect of the present application, an embodiment of the present application provides an electronic device, including a memory, a processor, and a computer program stored on the memory and executable on the processor, where the processor implements the unmanned aerial vehicle-based power failure inspection method according to the embodiment of the present application when the processor executes the computer program.

According to the technical scheme, under the condition that the power equipment fails, a target unmanned aerial vehicle responsible for inspecting the target power equipment is determined based on a target area where the target power equipment is located; acquiring a field image of the target power equipment through the target unmanned aerial vehicle; and determining a fault inspection result of the target power equipment based on the field image of the target power equipment. According to the application, the unmanned aerial vehicle and the image processing technology are used for power failure inspection, so that the automation degree of power failure inspection is improved, the cost of power failure inspection is reduced, the efficiency of power failure inspection is improved, and the fault emergency response time is shortened.

It should be understood that the description in this section is not intended to identify key or critical features of the embodiments of the application or to delineate the scope of the application. Other features of the present application will become apparent from the description that follows.

Drawings

In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings required for the description of the embodiments will be briefly described below, and it is apparent that the drawings in the following description are only some embodiments of the present application, and other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.

Fig. 1A is a flowchart of a power failure inspection method based on an unmanned aerial vehicle according to a first embodiment;

fig. 1B is a schematic structural diagram of a target power device provided according to a first embodiment;

fig. 2 is a flowchart of a power failure inspection method based on a drone according to a second embodiment;

fig. 3 is a schematic structural diagram of an unmanned aerial vehicle-based power failure inspection device according to a third embodiment of the present application;

fig. 4 is a schematic structural diagram of an electronic device according to a fourth embodiment of the present application.

Detailed Description

In order that those skilled in the art will better understand the present application, a technical solution in the embodiments of the present application will be clearly and completely described below with reference to the accompanying drawings in which it is apparent that the described embodiments are only some embodiments of the present application, not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the present application without making any inventive effort, shall fall within the scope of the present application.

It should be noted that the terms "first," "second," "target," and "candidate" in the description and claims of the present application and the above figures are used for distinguishing between similar objects and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used may be interchanged where appropriate such that the embodiments of the application described herein may be implemented in sequences other than those illustrated or otherwise described herein. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.

Example 1

Fig. 1A is a flowchart of an unmanned aerial vehicle-based power failure inspection method according to an embodiment, where the embodiment is applicable to the case of inspecting a target power device in a power transmission line, and the method may be configured to be executed by an unmanned aerial vehicle-based power failure inspection device, where the unmanned aerial vehicle-based power failure inspection device is implemented in a form of hardware and/or software, and may be integrated in an electronic device running the system.

As shown in fig. 1A, the method includes:

s110, determining a target unmanned aerial vehicle responsible for inspecting the target power equipment from the candidate unmanned aerial vehicles according to a target area where the target power equipment is located;

the target power equipment refers to power equipment with faults in a power transmission line. The target area in which the target power device is located is determined according to the geographic location of the target power device.

Optionally, one transmission line includes a plurality of candidate power devices. Determining the operation state of the candidate power equipment according to the equipment operation data of the candidate power equipment; and determining the candidate power equipment with the running state being abnormal as the target power equipment.

The candidate unmanned aerial vehicle is used for power failure inspection. The target unmanned aerial vehicle is generated in the candidate unmanned aerial vehicle and is responsible for carrying out inspection on the target power equipment.

And the power inspection platform determines the target unmanned aerial vehicle responsible for inspecting the target power equipment from the candidate unmanned aerial vehicles according to the target area where the target power equipment is located. Optionally, according to whether the candidate unmanned aerial vehicle is in an idle state, determining the target unmanned aerial vehicle responsible for inspecting the target power equipment from the candidate unmanned aerial vehicle according to the relative distance between the current position of the candidate unmanned aerial vehicle and the target area or the inspection area in charge of the candidate unmanned aerial vehicle. The power inspection platform is used for carrying out inspection management on power equipment in the power transmission line.

In an alternative embodiment, determining a target unmanned aerial vehicle responsible for patrol of the target power device from the candidate unmanned aerial vehicles according to a target area in which the target power device is located, includes: determining a patrol area in charge of the candidate unmanned aerial vehicle; matching a target area where the target power equipment is located with a patrol area in charge of the candidate unmanned aerial vehicle to obtain an area matching result; and determining the target unmanned aerial vehicle responsible for inspecting the target power equipment from the candidate unmanned aerial vehicles based on the region matching result.

The inspection area refers to an area, which needs to be inspected, of the power transmission line. Generally, a patrol area refers to a geographical area in which power equipment is provided. Each candidate drone has a patrol area of responsibility. And the inspection area is allocated to the candidate unmanned aerial vehicle in advance according to actual service requirements, and fault inspection is carried out on the power equipment of the inspection area which is responsible for the candidate unmanned aerial vehicle through the candidate unmanned aerial vehicle. And matching the target area where the target power equipment is located with the inspection area which is in charge of the candidate unmanned aerial vehicle to obtain an area matching result. Optionally, the region matching result includes: match success and match failure. And determining the candidate unmanned aerial vehicle with the successful matching result as the target unmanned aerial vehicle. The target area where the target power equipment is located belongs to the patrol area which is responsible for the target unmanned aerial vehicle. That is, the target unmanned aerial vehicle is used for patrol inspection of the target power equipment in the target area.

According to the technical scheme, the inspection area which is responsible for the candidate unmanned aerial vehicle is determined, the target area where the target power equipment is located is matched with the inspection area which is responsible for the candidate unmanned aerial vehicle, the target unmanned aerial vehicle which is responsible for inspecting the target power equipment is determined from the candidate unmanned aerial vehicle according to the obtained area matching result, the target unmanned aerial vehicle is used for performing fault inspection on the target power equipment, and technical support is provided for using the unmanned aerial vehicle for power fault inspection.

S120, controlling the target unmanned aerial vehicle to go to the target area, and collecting a field image of the target power equipment;

optionally, the power inspection platform generates an inspection start instruction for the target unmanned aerial vehicle based on a target area where the target power equipment is located. And sending a patrol start instruction to the target unmanned aerial vehicle, and responding to the patrol start instruction, the target unmanned aerial vehicle goes to a target area where the target power equipment is located. And acquiring a field image of the target power equipment through the target unmanned aerial vehicle. The field image of the target power equipment refers to an actual scene picture of the target power equipment captured by the target unmanned aerial vehicle.

In an alternative embodiment, the controlling the target drone to travel to the target area, acquiring a live image of the target power device, includes: determining a power device in a target power facility, and a deployment location of the power device in the target power facility; determining a shooting position of a target unmanned aerial vehicle based on a deployment position of the power device in the target power equipment; and controlling the target unmanned aerial vehicle to go to the target area, and acquiring a field image of a power device in the target power equipment based on the shooting position.

The target power equipment is typically distribution network equipment in a transmission line. The target power equipment is composed of power devices. Fig. 1B is a schematic structural diagram of a target power device according to the first embodiment. Referring to fig. 1B, a, B, C, D, and E in fig. 1B are power devices in the target power equipment, respectively referring to a line, a utility pole, an isolation knife, a fuse knife, and a transformer. The failure of the target power equipment is mostly caused by the power devices constituting the target power equipment. The failure cause of the target power equipment is checked, and whether the target power equipment fails or not needs to be checked first.

The method comprises determining a power device in the target power equipment, optionally determining a deployment location of the power device in the target power equipment according to a device type and a device function of the power device. And determining the shooting position of the target unmanned aerial vehicle according to the deployment position of the power device in the target power equipment. The power devices in the target power equipment all have corresponding shooting positions. The number of shooting positions is related to the number of power devices in the target power apparatus. On-site images of the power devices disposed at the respective positions in the target power equipment can be acquired based on the photographing positions.

And performing fault inspection on the target power equipment by adopting an image processing technology, wherein the effectiveness and the accuracy of the fault inspection are closely related to the image quality of the field image. The size of the target power equipment is generally larger, the field image of the target power equipment is acquired according to the granularity of the power equipment, the image quality of the phenomenon image can be ensured, meanwhile, the requirement on an image acquisition device in the target unmanned plane can be reduced, and the effectiveness and the accuracy of fault inspection can be effectively ensured.

S130, determining a fault inspection result of the target power equipment based on the field image of the target power equipment.

The live image of the target power device is used to reflect the actual scene picture of the target power device. The live image of the target power device may reflect an outline of the target power device.

Based on the fault inspection result of the target power device, at least one of a device fault range, a device fault cause, and a device fault level may be determined.

Optionally, the fault inspection model is used for processing the field image of the target power equipment, and the fault inspection result of the target power equipment can be determined based on the fault inspection model. Optionally, the fault patrol model is constructed based on a neural network. The fault inspection model is obtained by training in advance based on a supervised learning mode. The fault inspection model can perform preprocessing, feature extraction, image segmentation and image classification on the field image of the target power equipment. Wherein the image classification is used to determine whether there is an abnormality in the appearance of the target power device included in the live image.

Optionally, the fault inspection model is deployed in the candidate unmanned aerial vehicle, and the candidate unmanned aerial vehicle is endowed with the image analysis capability, so that the candidate unmanned aerial vehicle not only has the image acquisition capability but also has the image classification capability. After the target unmanned aerial vehicle collects the field image of the target power equipment, the field image of the target power equipment is classified to obtain a fault inspection result of the target power equipment, and the fault inspection result of the target power equipment is fed back to the power inspection platform through the target unmanned aerial vehicle.

It can be understood that the image classification needs more calculation resources, if the target unmanned aerial vehicle is insufficient to support the image classification, the fault inspection model is deployed to the electric power inspection platform in advance. The method comprises the steps that a target unmanned aerial vehicle collects field images of target power equipment, the target unmanned aerial vehicle feeds the field images of the target power equipment back to a power inspection platform, the power inspection platform classifies the field images of the target power equipment, and a fault inspection result of the target power equipment is determined.

Optionally, determining the fault inspection result of the target power equipment by combining the field image of the target power equipment with the reference image of the target power equipment. The reference image of the target power equipment is acquired under the normal condition of the target power equipment. Optionally, matching the field image of the target power equipment with a reference image of the target power equipment, and determining a fault inspection result of the target power equipment according to the obtained image matching result. Optionally, in the case where the target power apparatus includes at least two power devices, image matching is performed at granularity of the power devices.

According to the technical scheme, under the condition that the power equipment fails, a target unmanned aerial vehicle responsible for inspecting the target power equipment is determined based on a target area where the target power equipment is located; acquiring a field image of the target power equipment through the target unmanned aerial vehicle; and determining a fault inspection result of the target power equipment based on the field image of the target power equipment. According to the application, the unmanned aerial vehicle and the image processing technology are used for power failure inspection, so that the automation degree of power failure inspection is improved, the cost of power failure inspection is reduced, the efficiency of power failure inspection is improved, and the fault emergency response time is shortened.

In an alternative embodiment, after determining the fault patrol result of the target power device, the method further comprises: extracting the equipment fault grade of the target power equipment from the fault inspection result; selecting a matched target alarm mode for the target power equipment from candidate alarm modes based on the equipment fault level; and carrying out equipment fault warning based on the target warning mode.

The fault inspection result comprises equipment fault grade, and the equipment fault grade is used for quantifying the severity degree of the fault of the target power equipment. Optionally, the level of equipment failure is proportional to the severity of the target power equipment failure. Illustratively, the more severe the target power device failure, the higher the device failure level of the target power device.

The candidate alert mode refers to a means for fault alerting. Alternatively, candidate alert modes may be classified into several classes according to immediacy and effectiveness. The candidate alarm modes correspond to the equipment fault levels, and each equipment fault level has the candidate alarm mode matched with the equipment fault level. The higher the equipment failure level, the higher the requirements for the instantaneity and effectiveness of the candidate alert mode. The target alarm mode is generated from the candidate alarm modes and is matched with the equipment fault level of the target power equipment.

Optionally, the power inspection platform extracts the equipment fault grade of the target power equipment from the fault inspection result, and selects a matched target alarm mode for the target power equipment from the candidate alarm modes based on the equipment fault grade; and carrying out equipment fault warning based on the target warning mode. Exemplary candidate alert means include: telephone alarms, short message alarms, light alarms, voice alarms, etc. The timeliness and effectiveness of the telephone alarm and the short message alarm are higher than those of the lamplight alarm and the sound alarm. Telephone alarms and short message alarms support remote alarms. The light alarm and the sound alarm are more suitable for on-site alarm. According to the technical scheme, the matched target alarm mode is selected for the target power equipment from the candidate alarm modes, equipment fault alarm is carried out based on the target alarm mode, and response time of fault processing is shortened.

Example two

Fig. 2 is a flowchart of a power failure inspection method based on a drone according to a second embodiment. The present embodiment is further optimized on the basis of the above embodiment.

As shown in fig. 2, the method includes:

s210, determining a target unmanned aerial vehicle responsible for inspecting the target power equipment from the candidate unmanned aerial vehicles according to a target area where the target power equipment is located;

s220, controlling the target unmanned aerial vehicle to go to the target area, and collecting a field image of the target power equipment;

s230, determining a reference image of a power device in the target power equipment;

the power device is an integral part of the target power equipment. The power device is the smallest inspection unit in the power failure inspection, that is, the power device performs the failure inspection on the target power equipment at the granularity of the power device.

The power inspection platform is pre-stored with reference images of the power devices in the target power equipment. The reference image is acquired under the condition that the target power equipment operates normally.

Optionally, the target unmanned aerial vehicle may acquire reference images of the power devices in all the power equipment in the inspection area.

S240, comparing the field image of the power device in the target power equipment with a reference image of the power device in the target power equipment to obtain an appearance comparison result of the power device;

optionally, the field image of the power device in the target power equipment is acquired by the target unmanned aerial vehicle. The reference image of the power device in the target power equipment is associated with the acquisition time. And selecting a reference image which is closest to the current time from the reference images of the power devices in the target power equipment, and comparing the reference image with the field images of the power devices in the target power equipment to obtain an appearance comparison result of the power devices. By the aid of the method, the influence of aging of the image acquisition device and the power device on the appearance comparison result can be reduced, and the effectiveness and accuracy of the appearance comparison result are improved.

Optionally, the field image of the power device in the target power equipment is compared with the reference image of the power device in the target power equipment in terms of contour, texture, color, etc.

S250, determining a fault inspection result of the target power equipment based on the appearance comparison result of the power device.

And carrying out fault inspection on the target power equipment, and mainly carrying out inspection on the fault of the target power equipment caused by external force. It will be appreciated that damage to the target electrical device by external forces is primarily manifested as damage to the appearance of the device, such as an appearance failure.

Based on the appearance comparison result of the electric power device, whether the electric power device is damaged or not can be determined, and then the fault inspection result of the target electric power equipment is determined.

According to the technical scheme, the reference image of the power device in the target power equipment is compared with the field image of the power device in the target power equipment to obtain the appearance comparison result of the power device, and the fault inspection result of the target power equipment is determined based on the appearance comparison result of the power device.

In an optional embodiment, the determining, based on the appearance comparison result of the power device, a fault inspection result of the target power device includes: determining a fault device in the power device of the target power equipment based on the appearance comparison result of the power device; determining the equipment fault grade of the target power equipment according to the number of the fault devices and the device types of the fault devices; and determining a fault inspection result of the target power equipment according to the equipment fault grade.

The appearance comparison result is used for determining the image similarity between a reference image of the power device in the target power equipment and a field image of the power device in the target power equipment. The lower the image similarity, the greater the likelihood that the power devices in the target power equipment will be damaged. Based on the appearance comparison result of the electric device, it can be determined whether the electric device is damaged. A faulty device refers to a power device where damage occurs.

The number of devices of the fault device may determine the degree of external damage to the target power equipment and the range of external damage. The greater the number of fault devices, the greater the degree of external damage to the target power device, while the greater the range of external damage.

It is known that different types of power devices play different roles in the target power equipment, and that different types of power device damage have different effects on the target power equipment. Illustratively, transformer breakage has a greater impact on the target power equipment than pole breakage, which is more important relative to the pole. And determining the equipment fault grade of the target power equipment according to the number of the devices of the fault devices and the types of the devices of the fault devices.

Alternatively, the greater the number of devices of the faulty device and the more important the device type of the faulty device, the higher the equipment fault level of the target power equipment.

Optionally, the fault inspection result of the target power device further includes a device fault reason, and the device fault reason is determined based on the device identifier of the fault device.

According to the technical scheme, the feasible fault inspection result determining method is provided, and data support is provided for the unmanned aerial vehicle and the image processing technology to be used for power fault inspection.

In an optional embodiment, the determining, according to the equipment fault level, a fault inspection result of the target power equipment includes: and generating a fault inspection result of the target power equipment based on the field image of the target power equipment under the condition that the equipment fault grade is larger than or equal to a preset grade threshold or the equipment fault grade cannot be determined.

The preset level threshold is used for quantifying the necessity of adding the field image of the target power equipment to the fault inspection result. This is because image transmission requires consumption of a large amount of communication resources, and image transmission is reduced as much as possible, if allowed. The preset level threshold is determined according to actual service requirements, and is not limited herein.

The equipment fault level is greater than or equal to a preset level threshold value, so that potential consequences caused by the fault of the target power equipment are serious, the fault level belongs to serious accidents, and the field image of the target power equipment needs to be added into the fault inspection result of the target power equipment, so that the follow-up manual review of the fault inspection result is facilitated.

Under the condition that the equipment fault grade cannot be determined, manual intervention is needed, and the field image of the target power equipment is added to the fault inspection result of the target power equipment, so that the follow-up manual auxiliary determination of the fault inspection result is facilitated.

According to the technical scheme, when the equipment fault grade is larger than or equal to the preset grade threshold value or the equipment fault grade cannot be determined, the on-site image of the target power equipment is added to the fault inspection result of the target power equipment, so that the fault tolerance and the robustness of the power fault inspection are improved.

Example III

Fig. 3 is a schematic structural diagram of an unmanned aerial vehicle-based power failure inspection device according to a third embodiment of the present application, where the present embodiment may be applicable to an inspection of a target power device in a power transmission line, where the device may be implemented by software and/or hardware and may be integrated in an electronic device such as an intelligent terminal.

As shown in fig. 3, the apparatus may include:

the unmanned aerial vehicle selection module 310 is configured to determine, from among the candidate unmanned aerial vehicles, a target unmanned aerial vehicle responsible for inspecting the target power equipment according to a target area in which the target power equipment is located;

a field image acquisition module 320, configured to control the target unmanned aerial vehicle to go to the target area, and acquire a field image of the target power device;

the fault inspection result determining module 330 is configured to determine a fault inspection result of the target power device based on the field image of the target power device.

According to the technical scheme, under the condition that the power equipment fails, a target unmanned aerial vehicle responsible for inspecting the target power equipment is determined based on a target area where the target power equipment is located; acquiring a field image of the target power equipment through the target unmanned aerial vehicle; and determining a fault inspection result of the target power equipment based on the field image of the target power equipment. According to the application, the unmanned aerial vehicle and the image processing technology are used for power failure inspection, so that the automation degree of power failure inspection is improved, the cost of power failure inspection is reduced, the efficiency of power failure inspection is improved, and the fault emergency response time is shortened.

Optionally, the fault patrol result determining module 330 includes: a reference image determination sub-module for determining a reference image of a power device in the target power equipment; the image comparison sub-module is used for comparing the field image of the power device in the target power equipment with the reference image of the power device in the target power equipment to obtain an appearance comparison result of the power device; and the fault inspection result determining submodule is used for determining the fault inspection result of the target power equipment based on the appearance comparison result of the power device.

Optionally, the fault inspection result determining sub-module includes: a faulty device determining unit configured to determine a faulty device in the electric devices of the target electric equipment based on the appearance comparison result of the electric devices; a fault level determining unit, configured to determine an equipment fault level of the target power equipment according to the number of devices of the fault device and the device type of the fault device; and the fault inspection result determining unit is used for determining the fault inspection result of the target power equipment according to the equipment fault grade.

Optionally, the fault inspection result determining unit is specifically configured to generate, when the equipment fault level is greater than or equal to a preset level threshold, or the equipment fault level cannot be determined, a fault inspection result of the target power equipment based on a field image of the target power equipment.

Optionally, the unmanned aerial vehicle selection module 310 includes: the inspection area determining submodule is used for determining an inspection area which is responsible for the candidate unmanned aerial vehicle; the inspection area matching module is used for matching the target area where the target power equipment is located with the inspection area which is in charge of the candidate unmanned aerial vehicle to obtain an area matching result; and the unmanned aerial vehicle selecting sub-module is used for determining a target unmanned aerial vehicle responsible for inspecting the target power equipment from the candidate unmanned aerial vehicles based on the region matching result.

Optionally, the field image acquisition module 320 includes: a deployment location determination sub-module for determining a power device in a target power facility, and a deployment location of the power device in the target power facility; a shooting position determining sub-module for determining a shooting position of a target unmanned aerial vehicle based on a deployment position of the electric power device in the target electric power equipment; and the on-site image acquisition sub-module is used for controlling the target unmanned aerial vehicle to go to the target area and acquiring on-site images of the power devices in the target power equipment based on the shooting position.

Optionally, the apparatus further includes: the fault level extraction module is used for extracting the equipment fault level of the target power equipment from the fault inspection result after determining the fault inspection result of the target power equipment; the alarm mode selection module is used for selecting a matched target alarm mode for the target power equipment from candidate alarm modes based on the equipment fault level; and the fault alarm module is used for carrying out equipment fault alarm based on the target alarm mode.

The unmanned aerial vehicle-based power failure inspection device provided by the embodiment of the application can execute the unmanned aerial vehicle-based power failure inspection method provided by any embodiment of the application, and has the corresponding performance module and beneficial effects of executing the unmanned aerial vehicle-based power failure inspection method.

In the technical scheme of the disclosure, the related user data are collected, stored, used, processed, transmitted, provided, disclosed and the like, all conform to the regulations of related laws and regulations and do not violate the popular regulations of the public order.

Example IV

Fig. 4 illustrates a schematic diagram of an electronic device 410 that may be used to implement an embodiment. The electronic device 410 comprises at least one processor 411, and a memory communicatively coupled to the at least one processor 411, such as a Read Only Memory (ROM) 412, a Random Access Memory (RAM) 413, etc., wherein the memory stores computer programs executable by the at least one processor, and the processor 411 may perform various suitable actions and processes in accordance with the computer programs stored in the Read Only Memory (ROM) 412 or the computer programs loaded from the storage unit 418 into the Random Access Memory (RAM) 413. In the RAM 413, various programs and data required for the operation of the electronic device 410 may also be stored. The processor 411, the ROM 412, and the RAM 413 are connected to each other through a bus 414. An input/output (I/O) interface 415 is also connected to bus 414.

Various components in the electronic device 410 are connected to the I/O interface 415, including: an input unit 416 such as a keyboard, a mouse, etc.; an output unit 417 such as various types of displays, speakers, and the like; a storage unit 418, such as a magnetic disk, optical disk, or the like; and a communication unit 419 such as a network card, modem, wireless communication transceiver, etc. The communication unit 419 allows the electronic device 410 to exchange information/data with other devices through a computer network such as the internet and/or various telecommunication networks.

The processor 411 may be a variety of general and/or special purpose processing components having processing and computing capabilities. Some examples of processor 411 include, but are not limited to, a Central Processing Unit (CPU), a Graphics Processing Unit (GPU), various specialized Artificial Intelligence (AI) computing chips, various processors running machine learning model algorithms, digital Signal Processors (DSPs), and any suitable processor, controller, microcontroller, etc. The processor 411 performs the various methods and processes described above, such as the unmanned-based power failure patrol method.

In some embodiments, the drone-based power failure routing method may be implemented as a computer program tangibly embodied on a computer-readable storage medium, such as storage unit 418. In some embodiments, some or all of the computer program may be loaded and/or installed onto the electronic device 410 via the ROM 412 and/or the communication unit 419. When the computer program is loaded into RAM 413 and executed by processor 411, one or more steps of the drone-based power failure inspection method described above may be performed. Alternatively, in other embodiments, the processor 411 may be configured to perform the drone-based power failure patrol method in any other suitable manner (e.g., by means of firmware).

Various implementations of the systems and techniques described here above can be implemented in digital electronic circuitry, integrated circuit systems, field Programmable Gate Arrays (FPGAs), application Specific Integrated Circuits (ASICs), application Specific Standard Products (ASSPs), systems On Chip (SOCs), complex Programmable Logic Devices (CPLDs), computer hardware, firmware, software, and/or combinations thereof. These various embodiments may include: implemented in one or more computer programs, the one or more computer programs may be executed and/or interpreted on a programmable system including at least one programmable processor, which may be a special purpose or general-purpose programmable processor, that may receive data and instructions from, and transmit data and instructions to, a storage system, at least one input device, and at least one output device.

A computer program for carrying out methods of the present application may be written in any combination of one or more programming languages. These computer programs may be provided to a processor of a general purpose computer, special purpose computer, or other programmable data processing apparatus, such that the computer programs, when executed by the processor, cause the functions/acts specified in the flowchart and/or block diagram block or blocks to be implemented. The computer program may execute entirely on the machine, partly on the machine, as a stand-alone software package, partly on the machine and partly on a remote machine or entirely on the remote machine or server.

In the context of the present application, a computer-readable storage medium may be a tangible medium that can contain, or store a computer program for use by or in connection with an instruction execution system, apparatus, or device. The computer readable storage medium may include, but is not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any suitable combination of the foregoing. Alternatively, the computer readable storage medium may be a machine readable signal medium. More specific examples of a machine-readable storage medium would include an electrical connection based on one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.

To provide for interaction with a user, the systems and techniques described here can be implemented on an electronic device having: a display device (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to a user; and a keyboard and a pointing device (e.g., a mouse or a trackball) through which a user can provide input to the electronic device. Other kinds of devices may also be used to provide for interaction with a user; for example, feedback provided to the user may be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user may be received in any form, including acoustic input, speech input, or tactile input.

The systems and techniques described here can be implemented in a computing system that includes a background component (e.g., as a data processing server), or that includes a middleware component (e.g., an application server), or that includes a front-end component (e.g., a user computer having a graphical user interface or a web browser through which a user can interact with an implementation of the systems and techniques described here), or any combination of such background, middleware, or front-end components. The components of the system can be interconnected by any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include: local Area Networks (LANs), wide Area Networks (WANs), blockchain networks, and the internet.

The computing system may include clients and servers. The client and server are typically remote from each other and typically interact through a communication network. The relationship of client and server arises by virtue of computer programs running on the respective computers and having a client-server relationship to each other. The server can be a cloud server, also called a cloud computing server or a cloud host, and is a host product in a cloud computing service system, so that the defects of high management difficulty and weak service expansibility in the traditional physical hosts and VPS service are overcome.

It should be appreciated that various forms of the flows shown above may be used to reorder, add, or delete steps. For example, the steps described in the present application may be performed in parallel, sequentially, or in a different order, so long as the desired results of the technical solution of the present application are achieved, and the present application is not limited herein.

The above embodiments do not limit the scope of the present application. It will be apparent to those skilled in the art that various modifications, combinations, sub-combinations and alternatives are possible, depending on design requirements and other factors. Any modifications, equivalent substitutions and improvements made within the spirit and principles of the present application should be included in the scope of the present application.

Claims (10)

1. An unmanned aerial vehicle-based power failure inspection method is characterized by comprising the following steps:

determining a target unmanned aerial vehicle responsible for inspecting the target power equipment from the candidate unmanned aerial vehicles according to a target area where the target power equipment is located;

controlling the target unmanned aerial vehicle to go to the target area, and collecting a field image of the target power equipment;

and determining a fault inspection result of the target power equipment based on the field image of the target power equipment.

2. The method of claim 1, wherein the determining a fault patrol result of the target power device based on the field image of the target power device comprises:

determining a reference image of a power device in the target power equipment;

comparing the field image of the power device in the target power equipment with a reference image of the power device in the target power equipment to obtain an appearance comparison result of the power device;

and determining a fault inspection result of the target power equipment based on the appearance comparison result of the power device.

3. The method of claim 2, wherein determining a fault patrol result of the target power device based on the appearance comparison result of the power device comprises:

determining a fault device in the power device of the target power equipment based on the appearance comparison result of the power device;

determining the equipment fault grade of the target power equipment according to the number of the fault devices and the device types of the fault devices;

and determining a fault inspection result of the target power equipment according to the equipment fault grade.

4. The method of claim 3, wherein determining a fault patrol result of the target power device according to the device fault level comprises:

and generating a fault inspection result of the target power equipment based on the field image of the target power equipment under the condition that the equipment fault grade is larger than or equal to a preset grade threshold or the equipment fault grade cannot be determined.

5. The method of claim 1, wherein the determining the target drone responsible for inspecting the target power device from the candidate drones according to the target area in which the target power device is located, comprises:

determining a patrol area in charge of the candidate unmanned aerial vehicle;

matching a target area where the target power equipment is located with a patrol area in charge of the candidate unmanned aerial vehicle to obtain an area matching result;

and determining the target unmanned aerial vehicle responsible for inspecting the target power equipment from the candidate unmanned aerial vehicles based on the region matching result.

6. The method of claim 1, wherein the controlling the target drone to travel to the target area, acquiring a field image of the target power device, comprises:

determining a power device in a target power facility, and a deployment location of the power device in the target power facility;

determining a shooting position of a target unmanned aerial vehicle based on a deployment position of the power device in the target power equipment;

and controlling the target unmanned aerial vehicle to go to the target area, and acquiring a field image of a power device in the target power equipment based on the shooting position.

7. The method of claim 1, wherein after determining the fault patrol result of the target power device, the method further comprises:

extracting the equipment fault grade of the target power equipment from the fault inspection result;

selecting a matched target alarm mode for the target power equipment from candidate alarm modes based on the equipment fault level;

and carrying out equipment fault warning based on the target warning mode.

8. Electric power trouble inspection device based on unmanned aerial vehicle, characterized in that, the device includes:

the unmanned aerial vehicle selection module is used for determining a target unmanned aerial vehicle responsible for inspecting the target power equipment from the candidate unmanned aerial vehicles according to the target area where the target power equipment is located;

the on-site image acquisition module is used for controlling the target unmanned aerial vehicle to go to the target area and acquiring on-site images of the target power equipment;

and the fault inspection result determining module is used for determining a fault inspection result of the target power equipment based on the field image of the target power equipment.

9. A computer readable storage medium, on which a computer program is stored, characterized in that the program, when being executed by a processor, implements the unmanned aerial vehicle-based power failure inspection method according to any one of claims 1-7.

10. An electronic device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the processor implements the unmanned aerial vehicle-based power failure patrol method according to any one of claims 1-7 when the computer program is executed by the processor.