CN118348457A - Fault positioning method, device, equipment and medium for electrical equipment - Google Patents
Fault positioning method, device, equipment and medium for electrical equipment Download PDFInfo
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Abstract
The embodiment of the application discloses a fault positioning method, device, equipment and medium for electrical equipment. Wherein the method comprises the following steps: acquiring operation data of target electrical equipment, and performing abnormality detection on the operation data; if the operation data are abnormal, acquiring a target image of the target electrical equipment through a target image acquisition device; and determining the fault position of the target electrical equipment according to the difference comparison result of the target image and the standard image. In the technical scheme, the working state of the target electrical equipment can be directly reflected by the operation data, and the abnormality can be detected at the first time after the fault of the target electrical equipment by detecting the abnormality of the operation data; according to the technical scheme, the difference comparison is carried out on the target image and the standard image, so that the position of the fault can be accurately positioned, and the timeliness and accuracy of fault positioning are improved.
Description
Technical Field
The present invention relates to the field of fault detection technologies of electrical devices, and in particular, to a fault positioning method, device, equipment, and medium for an electrical device.
Background
The transformer has the functions of controlling voltage rise and fall, electric energy transmission and the like in a power system; the circuit breaker can cut off the fault part from the power grid when the power equipment or the circuit breaks down so as to ensure the normal operation of the non-fault part of the power grid.
The electrical equipment such as a transformer and a circuit breaker is very important equipment in a power transportation network, and fault positioning of the electrical equipment such as the transformer and the circuit breaker is usually completed by a manual inspection method, however, in the manual inspection process, the inspection is usually performed once in one inspection period, and fault discovery and fault positioning are not timely and accurate enough.
Disclosure of Invention
The invention provides a fault positioning method, device, equipment and medium for electrical equipment, which can accurately and timely determine the fault position of the electrical equipment.
According to an aspect of the present invention, there is provided a fault locating method of an electrical apparatus, the method comprising:
acquiring operation data of target electrical equipment, and performing abnormality detection on the operation data;
if the operation data are abnormal, acquiring a target image of the target electrical equipment through a target image acquisition device;
and determining the fault position of the target electrical equipment according to the difference comparison result of the target image and the standard image.
According to another aspect of the present invention, there is provided a fault locating device of an electrical apparatus, including:
the abnormality detection module is used for acquiring operation data of the target electrical equipment and detecting abnormality of the operation data;
the image acquisition module is used for acquiring a target image of the target electrical equipment through a target image acquisition device if the operation data are abnormal;
And the fault position determining module is used for determining the fault position of the target electrical equipment according to the difference comparison result of the target image and the standard image.
According to another aspect of the present invention, there is provided an electronic apparatus including:
at least one processor; and
A memory communicatively coupled to the at least one processor; wherein,
The memory stores a computer program executable by the at least one processor to enable the at least one processor to perform the fault localization method of the electrical device according to any one of the embodiments of the present invention.
According to another aspect of the present invention, there is provided a computer readable storage medium storing computer instructions for causing a processor to execute the fault locating method of an electrical apparatus according to any embodiment of the present invention.
The technical scheme of the embodiment of the application comprises the following steps: acquiring operation data of target electrical equipment, and performing abnormality detection on the operation data; if the operation data are abnormal, acquiring a target image of the target electrical equipment through a target image acquisition device; and determining the fault position of the target electrical equipment according to the difference comparison result of the target image and the standard image. In the technical scheme, the working state of the target electrical equipment can be directly reflected by the operation data, and the abnormality can be detected at the first time after the fault of the target electrical equipment by detecting the abnormality of the operation data; according to the technical scheme, the effect of accurately positioning the position of the fault can be achieved by performing difference comparison on the target image and the standard image.
It should be understood that the description in this section is not intended to identify key or critical features of the embodiments of the invention or to delineate the scope of the invention. Other features of the present invention 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. 1 is a flowchart of a fault locating method of an electrical device according to a first embodiment of the present application;
fig. 2 is a flowchart of a fault locating method of an electrical device according to a second embodiment of the present application;
fig. 3 is a schematic structural view of a fault locating device for an electrical apparatus according to a third embodiment of the present application;
Fig. 4 is a schematic structural diagram of an electronic device implementing a fault locating method of an electrical device according to an 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 the like in the description and claims of the present invention and in 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 invention 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. 1 is a flowchart of a fault locating method for an electrical device according to an embodiment of the present application, where the fault locating method may be applicable to a case of locating a fault of a transformer or a circuit breaker, and the method may be performed by a fault locating device for an electrical device, where the fault locating device for an electrical device may be implemented in hardware and/or software, and the fault locating device for an electrical device may be configured in an electronic device with data processing capability. As shown in fig. 1, the method includes:
s110, acquiring operation data of the target electrical equipment, and detecting abnormality of the operation data.
Wherein the electrical device may be a device in an electrical power system, the electrical device may be used for generating electricity, transporting electrical energy, etc., the electrical device including but not limited to: transformers, circuit breakers, generators, and the like. The operational data may be data related to the electrical device during operation, the operational data may be data that varies in real time, and the operational data may be electrical parameters of the electrical device, such as voltage, current, power, frequency, etc., by way of example; the job data may be collected by corresponding sensors.
In the embodiment of the application, the abnormality detection result of the electrical equipment can be obtained by detecting the abnormality of the operation data, namely, if the electrical equipment fails, the operation data is abnormal. For example, if the operation data of the transformer is a voltage, and the voltage is stabilized at about 220V under normal conditions, if the transformer fails, the voltage may be lowered or raised.
Specifically, in general, the operation data is time-varying, and the operation data of the target electrical device can be continuously acquired, and then the acquired operation data is subjected to real-time abnormality detection. Further, in one possible scheme, the abnormality detection of the job data may be that, every time a new job data is obtained, the new job data is subjected to threshold judgment, that is, whether the new job data is greater than or less than an abnormality threshold is judged, so as to obtain an abnormality detection result. In another implementation scheme, the operation data can be continuously acquired, and after the data amount in the operation data reaches a certain value, the operation data are uniformly subjected to abnormality detection, for example, an abnormality detection result is determined according to the magnitude relation between the slope of the operation data in a coordinate system and a slope threshold value; the clustering result may be obtained according to the distribution of the job data, and the abnormality detection result may be determined according to the number of data not within the clustering range.
In an embodiment of the present application, optionally, the detecting the abnormality of the job data includes: and if the operation data is located outside the standard data interval, determining that the detection result is that the operation data is abnormal.
The standard data interval reflects an interval of operation data under normal conditions, and the standard data interval can be determined according to actual conditions, which is not limited by the embodiment of the application. For example, taking a transformer as an example, if the normal operating voltage of a certain transformer is 220V, the standard data interval may be 210-230V.
And S120, if the operation data is abnormal, acquiring a target image of the target electrical equipment through a target image acquisition device.
The image collector can collect image data of the electrical equipment, and can be an infrared image collector, an ultrasonic imaging instrument, a shooting camera and the like.
In the embodiment of the application, taking a transformer substation as an example, the transformer substation comprises a plurality of electric devices such as transformers and circuit breakers, and a plurality of image collectors can be arranged, so that each electric device is provided with a corresponding image collector.
Specifically, after abnormality detection is performed on the operation data, if abnormality is detected in the operation data, the target electrical equipment may fail, and further a target image collector corresponding to the target electrical equipment is determined, and a target image of the target electrical equipment is collected through the target image collector, so that a failure position is determined according to the target image.
S130, determining the fault position of the target electrical equipment according to the difference comparison result of the target image and the standard image.
The standard image may be an image of the target electrical equipment in a normal operation state, and when the standard image and the target image are acquired, the distance between the target image collector and the target electrical equipment and the shooting angle may be consistent, so as to facilitate the difference comparison of the two images.
Specifically, the difference comparison is performed on the target image and the standard image to obtain a difference comparison result, the difference comparison result reflects the position with the difference in the two images, and the position with the difference is further determined to be the fault position of the target electrical equipment.
The technical scheme of the embodiment of the application comprises the following steps: acquiring operation data of target electrical equipment, and performing abnormality detection on the operation data; if the operation data are abnormal, acquiring a target image of the target electrical equipment through a target image acquisition device; and determining the fault position of the target electrical equipment according to the difference comparison result of the target image and the standard image. In the technical scheme, the working state of the target electrical equipment can be directly reflected by the operation data, and the abnormality can be detected at the first time after the fault of the target electrical equipment by detecting the abnormality of the operation data; according to the technical scheme, the effect of accurately positioning the position of the fault can be achieved by performing difference comparison on the target image and the standard image.
Example two
Fig. 2 is a flowchart of a fault locating method for an electrical device according to a second embodiment of the present application, where the embodiment of the present application is optimized based on the foregoing embodiment.
As shown in fig. 2, the method in the embodiment of the present application specifically includes the following steps:
s210, acquiring operation data of the target electrical equipment, wherein the operation data is time series data.
The time-series data may be operation data collected at different times, for example, a preset time interval may be 1 second, the target electrical device is a transformer, and the operation data may be represented by 8-point 220V, 8-point 0-minute 1-second 220V, 8-point 0-minute 2-second 221V, and the like.
S220, if the ratio of the number of the abnormal operation data to the total number of the operation data is greater than a preset threshold value in the target time period, determining that the operation data is abnormal; the abnormal operation data is operation data with values outside the standard data interval.
The duration of the target time period may be determined according to the actual situation, which is not limited in the embodiment of the present application, specifically, the duration of the target time period may be determined according to the acquisition frequency of the job data, and if the acquisition frequency of the job data is 2 seconds, for example, the duration of the target time period may be 1 minute. The number of abnormal job data refers to the total number of abnormal job data within the target period. The total number of job data refers to the number of all job data within the target period. The preset threshold may be determined according to practical situations, which is not limited in the embodiment of the present application, and may be, for example, 30%. The standard data section reflects the section in which normal job data is located.
Specifically, each job data is traversed according to a time sequence in a target time period, whether the job data is abnormal job data is judged, the total number of the job data is counted, the number of the abnormal job data is counted, and the ratio of the number of the abnormal job data to the total number of the job data is calculated; if the ratio is greater than a preset threshold, the operation data is abnormal, namely the target electrical equipment fails.
In an embodiment of the present application, optionally, in the target period, if a ratio of the number of abnormal job data to the total number of job data is greater than a preset threshold, determining that the job data is abnormal includes: if the job data corresponding to the target time point is detected to be located outside the standard data interval; judging whether the ratio of the number of the abnormal operation data to the total number of the operation data is larger than a preset threshold value or not in a target time period after the target time point; if yes, determining that the operation data is abnormal.
For example, in the process of continuously acquiring the job data, if it is detected at the target time point that the corresponding job data is located outside the standard data interval, a timing program is started: and determining the job data with the data value not in the standard data interval as abnormal job data in the target time period, and calculating the ratio of the number of the abnormal job data to the total number of the job data after the target time period is over, so as to determine whether the job data is abnormal.
In the embodiment of the application, a plurality of factors possibly exist for the electrical equipment, such as pulse, and the data value offset is possibly caused, but the influence time of most of the factors is short, and the influence of equipment faults on the data is usually continuous, so that on the basis of the standard data interval, the erroneous judgment can be avoided by combining the abnormal data proportion monitoring in the target time period.
And S230, if the operation data is abnormal, determining a target image collector corresponding to the target electrical equipment.
In an embodiment of the present application, optionally, a determining process of the target image collector includes: determining an image collector corresponding to the target electrical equipment as a target image collector based on a pre-stored corresponding relation between the electrical equipment and the image collector; the electrical device and the image collector are stored in the form of key value pairs.
For example, device parameters of the target electrical device may be obtained; the equipment parameters comprise equipment identification, equipment position and the like; a target image collector disposed at the target electrical device is activated based on the device parameters.
In the embodiment of the application, data association can be performed on each electrical device and the image collector thereof in advance, and the electrical devices and the corresponding image collectors thereof can be stored in an associated mode in the form of key value pairs. And the corresponding target image collector can be accurately positioned by the target electrical equipment.
In the embodiment of the application, optionally, the target image collector is an electric leakage ultrasonic imager.
The power leakage ultrasonic imager is equipment capable of carrying out ultrasonic imaging on the power leakage phenomenon, can position a discharge position of the equipment and evaluate the discharge capacity through an ultrasonic sensor and a camera, and can be used for imaging a discharge point of the equipment, such as ultrasonic imagers in various power fields, which are proposed by SMI company.
In the embodiment of the application, faults caused by the appearance/external damage of the equipment often only occupy part, so that the geometric and internal characteristics of an object can be displayed on a picture through the power leakage ultrasonic imager. And thus can identify faults inside the device.
For example, in the electrical field, in high voltage power stations or some plants where electrical equipment is present, point discharge or power leakage may occur under certain conditions, where human testing and maintenance is difficult. The power leakage ultrasonic imaging instrument can conveniently and rapidly acquire the image of the fault position.
S240, acquiring a target image of the target electrical equipment through a target image acquisition device.
Specifically, if the number of the target image collectors is one, the target image of the target electrical equipment can be directly obtained through shooting. If the number of the target image collectors is two, and one front side and one back side of the target electrical device are photographed, the target image may be an image photographed by the two target image collectors, respectively. If the number of the target image collectors is two, the target image may be an image obtained by fusing images captured by a plurality of target image collectors.
In the embodiment of the application, optionally, the number of the target image collectors is a plurality of target image collectors; correspondingly, the step of collecting the target image of the target electrical equipment by the target image collector comprises the following steps: collecting a plurality of images to be spliced of the target electrical equipment through a plurality of target image collectors; respectively extracting characteristic points in each image to be spliced; performing feature matching on the feature points based on a feature matching algorithm; according to the feature matching result, determining a transformation matrix of each image to be spliced relative to the reference image; and carrying out image fusion on each image to be spliced based on the transformation matrix to obtain a target image.
For example, in some preferred embodiments, when the number of target image collectors is a plurality of image fusions, the following steps may be implemented: extracting features of the image data of each acquisition device; and matching the extracted features, performing geometric transformation according to the matching result, finally performing image fusion, and taking the fused image as final image data.
Wherein, the feature extraction is: before image stitching is performed, feature points in the image need to be extracted first. Common feature point extraction algorithms include SIFT (scale invariant feature transform) and SURF (speeded up robust features), etc. The feature matching is as follows: and (5) finding out the corresponding relation among the images by calculating the similarity of the feature points in the images. Common feature matching algorithms include feature point-based matching and region-based matching. The geometric transformation is: when the images are spliced, geometric transformation is needed, so that characteristic points among the images can be aligned. Common geometric transformations include similarity transformations, affine transformations, projective transformations, and the like. The image fusion is: after the image alignment is completed, the images need to be fused so that the stitched images look natural. Methods commonly used for image fusion include seamless fusion, multi-band fusion, multi-level fusion, and the like.
S250, determining the fault position of the target electrical equipment according to the difference comparison result of the target image and the standard image.
In an embodiment of the present application, optionally, the determining process of the difference comparison result includes: performing difference comparison on the target image and the standard image, and marking a difference position in the standard image; correspondingly, determining the fault position of the target electrical equipment according to the difference comparison result of the target image and the standard image comprises the following steps: in the standard image, determining a target pixel point corresponding to the difference position; determining a target equipment position corresponding to the target pixel point according to the corresponding relation between the pixel point in the standard image and the equipment position; and determining the position of the target equipment part on the target electrical equipment as the fault position of the target electrical equipment.
The two images can be subjected to special extraction and comparison by a computer vision technology, so that a difference comparison result is obtained. For example, the images may be feature extracted by a deep learning algorithm, such as a convolutional neural network, to more accurately distinguish differences between the images. In other embodiments, specialized tools may also be used: there are some third party tools dedicated to comparing image differences, such as DiffImg, image Comparer, and Beyond computer. These tools enable automated analysis and highlighting of all differences between two images.
Specifically, performing difference comparison on the target image and the standard image, marking a difference position in the standard image, taking the standard image marked with the difference position as a difference comparison result, and further determining a target pixel point corresponding to the difference position; determining a target equipment position corresponding to the target pixel point according to the corresponding relation between the pixel point and the equipment position in the standard image, wherein the number of the target equipment positions corresponding to the target pixel point is also possibly a plurality of because the number of the target pixel point is usually more; and determining the position of the target equipment part on the target electrical equipment as the fault position of the target electrical equipment.
In the embodiment of the application, in an alternative scheme, the semantic segmentation technology can be combined, the semantic segmentation recognition is performed on the images of different parts by predefining and training the images of all parts/components of the electrical equipment, and then the names of specific parts/components are used as output results.
The technical scheme of the embodiment of the application comprises the following steps: acquiring operation data of target electrical equipment, wherein the operation data is time sequence data; if the ratio of the number of the abnormal operation data to the total number of the operation data is larger than a preset threshold value in the target time period, determining that the operation data is abnormal; the abnormal operation data are operation data with values outside a standard data interval; if the operation data are abnormal, determining a target image collector corresponding to the target electrical equipment; collecting a target image of the target electrical equipment through a target image collector; and determining the fault position of the target electrical equipment according to the difference comparison result of the target image and the standard image. According to the technical scheme, the abnormal detection result is accurately obtained based on the operation data in the target time period, the target image collector corresponding to the target electrical equipment can be rapidly determined through the key value pair, and further difference comparison is carried out on the target image and the standard image, so that the position of the fault can be accurately positioned, and the timeliness and the accuracy of fault positioning are improved.
Example III
Fig. 3 is a schematic structural diagram of a fault locating device for an electrical apparatus according to a third embodiment of the present application, where the fault locating device can execute the fault locating method for an electrical apparatus according to any embodiment of the present application, and has functional modules and beneficial effects corresponding to the execution method. As shown in fig. 3, the apparatus includes:
an anomaly detection module 310, configured to obtain operation data of a target electrical device, and perform anomaly detection on the operation data;
the image acquisition module 320 is configured to acquire, if the operation data is abnormal, a target image of the target electrical device through a target image acquirer;
and the fault position determining module 330 is configured to determine a fault position of the target electrical device according to a difference comparison result between the target image and the standard image.
The embodiment of the application discloses a fault positioning device of electrical equipment, which comprises: an anomaly detection module 310, configured to obtain operation data of a target electrical device, and perform anomaly detection on the operation data; the image acquisition module 320 is configured to acquire, if the operation data is abnormal, a target image of the target electrical device through a target image acquirer; and the fault position determining module 330 is configured to determine a fault position of the target electrical device according to a difference comparison result between the target image and the standard image. In the technical scheme, the working state of the target electrical equipment can be directly reflected by the operation data, and the abnormality can be detected at the first time after the fault of the target electrical equipment by detecting the abnormality of the operation data; according to the technical scheme, the difference comparison is carried out on the target image and the standard image, so that the position of the fault can be accurately positioned, and the timeliness and accuracy of fault positioning are improved.
In the embodiment of the present application, optionally, the job data is time-series data;
Accordingly, the anomaly detection module 310 includes:
The abnormality detection unit is used for determining that the operation data is abnormal if the ratio of the number of the abnormal operation data to the total number of the operation data is larger than a preset threshold value in a target time period; the abnormal operation data is operation data with values outside the standard data interval.
In an embodiment of the present application, optionally, the anomaly detection unit includes:
the interval judging subunit is used for judging whether the operation data corresponding to the target time point is located outside the standard data interval or not;
the ratio judging subunit is used for judging whether the ratio of the number of the abnormal operation data to the total number of the operation data is larger than a preset threshold value in a target time period after a target time point;
And the abnormality determination subunit is used for determining that the operation data has abnormality if yes.
In an embodiment of the present application, optionally, the apparatus further includes: the determining module of the target image collector specifically comprises:
a target image collector determining unit, configured to determine, as a target image collector, an image collector corresponding to a target electrical device based on a pre-stored correspondence between the electrical device and the image collector; the electrical device and the image collector are stored in the form of key value pairs.
In the embodiment of the application, optionally, the number of the target image collectors is a plurality of target image collectors;
accordingly, the image acquisition module 320 includes:
The image acquisition unit to be spliced is used for acquiring a plurality of images to be spliced of the target electrical equipment through a plurality of target image collectors;
the characteristic point extraction unit is used for respectively extracting characteristic points in each image to be spliced;
the feature matching unit is used for carrying out feature matching on the feature points based on a feature matching algorithm;
The transformation matrix determining unit is used for determining a transformation matrix of each image to be spliced relative to the reference image according to the feature matching result;
And the image fusion unit is used for carrying out image fusion on the images to be spliced based on the transformation matrix to obtain a target image.
In the embodiment of the application, optionally, the target image collector is an electric leakage ultrasonic imager.
In an embodiment of the present application, optionally, the apparatus further includes: the difference comparison result determining module specifically comprises:
a difference position marking unit for performing difference comparison on the target image and the standard image, and marking a difference position in the standard image;
accordingly, the fault location determination module 330 includes:
the target pixel point determining unit is used for determining target pixel points corresponding to the difference positions in the standard image;
A target equipment position determining unit, configured to determine a target equipment position corresponding to a target pixel point according to a correspondence between the pixel point in a standard image and the equipment position;
And the fault position determining unit is used for determining the position of the target equipment part on the target electrical equipment as the fault position of the target electrical equipment.
The fault positioning device for the electrical equipment provided by the embodiment of the application can execute the fault positioning method for the electrical equipment provided by any embodiment of the application, and has the corresponding functional modules and beneficial effects of the execution method.
Example IV
Fig. 4 shows a schematic diagram of the structure of an electronic device 10 that may be used to implement an embodiment of the invention. Electronic devices are intended to represent various forms of digital computers, such as laptops, desktops, workstations, personal digital assistants, servers, blade servers, mainframes, and other appropriate computers. Electronic equipment may also represent various forms of mobile devices, such as personal digital processing, cellular telephones, smartphones, wearable devices (e.g., helmets, glasses, watches, etc.), and other similar computing devices. The components shown herein, their connections and relationships, and their functions, are meant to be exemplary only, and are not meant to limit implementations of the inventions described and/or claimed herein.
As shown in fig. 4, the electronic device 10 includes at least one processor 11, and a memory, such as a Read Only Memory (ROM) 12, a Random Access Memory (RAM) 13, etc., communicatively connected to the at least one processor 11, in which the memory stores a computer program executable by the at least one processor, and the processor 11 may perform various appropriate actions and processes according to the computer program stored in the Read Only Memory (ROM) 12 or the computer program loaded from the storage unit 18 into the Random Access Memory (RAM) 13. In the RAM 13, various programs and data required for the operation of the electronic device 10 may also be stored. The processor 11, the ROM 12 and the RAM 13 are connected to each other via a bus 14. An input/output (I/O) interface 15 is also connected to bus 14.
Various components in the electronic device 10 are connected to the I/O interface 15, including: an input unit 16 such as a keyboard, a mouse, etc.; an output unit 17 such as various types of displays, speakers, and the like; a storage unit 18 such as a magnetic disk, an optical disk, or the like; and a communication unit 19 such as a network card, modem, wireless communication transceiver, etc. The communication unit 19 allows the electronic device 10 to exchange information/data with other devices via a computer network, such as the internet, and/or various telecommunication networks.
The processor 11 may be a variety of general and/or special purpose processing components having processing and computing capabilities. Some examples of processor 11 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 11 performs the respective methods and processes described above, such as a fault locating method of an electrical apparatus.
In some embodiments, the fault localization method of the electrical device may be implemented as a computer program tangibly embodied on a computer-readable storage medium, such as the storage unit 18. In some embodiments, part or all of the computer program may be loaded and/or installed onto the electronic device 10 via the ROM 12 and/or the communication unit 19. When the computer program is loaded into the RAM 13 and executed by the processor 11, one or more steps of the fault localization method of the electrical device described above may be performed. Alternatively, in other embodiments, the processor 11 may be configured to perform the fault localization method of the electrical device by any other suitable means (e.g. by means of firmware).
Various implementations of the systems and techniques described here above may 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 invention 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 invention, 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 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 invention may be performed in parallel, sequentially, or in a different order, so long as the desired results of the technical solution of the present invention are achieved, and the present invention is not limited herein.
The above embodiments do not limit the scope of the present invention. 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 invention should be included in the scope of the present invention.
Claims (10)
1. A fault locating method of an electrical apparatus, comprising:
acquiring operation data of target electrical equipment, and performing abnormality detection on the operation data;
if the operation data are abnormal, acquiring a target image of the target electrical equipment through a target image acquisition device;
and determining the fault position of the target electrical equipment according to the difference comparison result of the target image and the standard image.
2. The method of claim 1, wherein the job data is time-series data;
correspondingly, the abnormality detection of the job data includes:
If the ratio of the number of the abnormal operation data to the total number of the operation data is larger than a preset threshold value in the target time period, determining that the operation data is abnormal; the abnormal operation data is operation data with values outside the standard data interval.
3. The method according to claim 2, wherein determining that the job data is abnormal if a ratio of the number of abnormal job data to the total number of job data is greater than a preset threshold value within the target period of time comprises:
if the job data corresponding to the target time point is detected to be located outside the standard data interval;
judging whether the ratio of the number of the abnormal operation data to the total number of the operation data is larger than a preset threshold value or not in a target time period after the target time point;
If yes, determining that the operation data is abnormal.
4. The method of claim 1, wherein the determining of the target image collector comprises:
Determining an image collector corresponding to the target electrical equipment as a target image collector based on a pre-stored corresponding relation between the electrical equipment and the image collector; the electrical device and the image collector are stored in the form of key value pairs.
5. The method of claim 1, wherein the number of target image collectors is a plurality;
correspondingly, the step of collecting the target image of the target electrical equipment by the target image collector comprises the following steps:
Collecting a plurality of images to be spliced of the target electrical equipment through a plurality of target image collectors;
Respectively extracting characteristic points in each image to be spliced;
performing feature matching on the feature points based on a feature matching algorithm;
according to the feature matching result, determining a transformation matrix of each image to be spliced relative to the reference image;
And carrying out image fusion on each image to be spliced based on the transformation matrix to obtain a target image.
6. The method of claim 1, wherein the target image collector is a power leakage ultrasound imager.
7. The method of claim 1, wherein the determining of the difference comparison result comprises:
Performing difference comparison on the target image and the standard image, and marking a difference position in the standard image;
Correspondingly, determining the fault position of the target electrical equipment according to the difference comparison result of the target image and the standard image comprises the following steps:
In the standard image, determining a target pixel point corresponding to the difference position;
Determining a target equipment position corresponding to the target pixel point according to the corresponding relation between the pixel point in the standard image and the equipment position;
And determining the position of the target equipment part on the target electrical equipment as the fault position of the target electrical equipment.
8. A fault locating device for an electrical apparatus, comprising:
the abnormality detection module is used for acquiring operation data of the target electrical equipment and detecting abnormality of the operation data;
the image acquisition module is used for acquiring a target image of the target electrical equipment through a target image acquisition device if the operation data are abnormal;
And the fault position determining module is used for determining the fault position of the target electrical equipment according to the difference comparison result of the target image and the standard image.
9. An electronic device, the electronic device comprising:
at least one processor; and
A memory communicatively coupled to the at least one processor; wherein,
The memory stores a computer program executable by the at least one processor to enable the at least one processor to perform the fault localization method of the electrical device of any one of claims 1-7.
10. A computer readable storage medium storing computer instructions for causing a processor to perform the fault localization method of an electrical device according to any one of claims 1-7.
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| CN120185217A (en) * | 2025-05-23 | 2025-06-20 | 航天规划设计集团有限公司 | An information management method and system for electrical equipment monitoring |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN120185217A (en) * | 2025-05-23 | 2025-06-20 | 航天规划设计集团有限公司 | An information management method and system for electrical equipment monitoring |
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