CN117251420A - Distribution network defect file automatic supervision method and device, electronic equipment and storage medium - Google Patents
Distribution network defect file automatic supervision method and device, electronic equipment and storage medium Download PDFInfo
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Abstract
The invention discloses a distribution network defect file automatic supervision method, a distribution network defect file automatic supervision device, electronic equipment and a storage medium. The method is characterized by comprising the following steps: requesting a defect data file from a power grid management platform; receiving at least one defect data file issued by a defect management module of a power grid management platform; and performing defect analysis supervision on the defect data file, determining a target problem file, and outputting the problem reason of the target problem file. The automatic supervision and analysis of the defect data files are realized, and the automatic filtering and inspection of the defect data files are sequentially performed, so that manpower and material resources are effectively saved, the supervision efficiency is improved, the error of manual inspection is avoided, and the supervision accuracy of the defect data files is improved.
Description
Technical Field
The invention relates to the field of distribution network file processing, in particular to an automatic supervision method and device for distribution network defect files, electronic equipment and a storage medium.
Background
The interconnection informatization is used as the most critical part in the distribution network, the distribution network staff informatizes the defect data file of the distribution network defect through internet communication, and the defect data file can be uploaded and continuously tracked and recorded in the first time through interconnection and intercommunication between the mobile equipment and the power grid management platform. After the elimination of the distribution network defects is finally completed, generating a continuous and complete defect data file on a power grid management platform, wherein the power grid management platform is required to check the defect data file filled by staff, so that the defect data file is prevented from being filled with errors and unreal information; in the prior art, error information is recorded in the filling process through an automatic error correction mechanism in a power grid management platform, so that workers can perform key manual supervision on the error information, but the manual supervision is low in efficiency and easy to miss.
Disclosure of Invention
The invention provides an automatic supervision method, an automatic supervision device, electronic equipment and a storage medium for a distribution network defect file, which are used for realizing automatic supervision of the distribution network defect file and improving the investigation efficiency and accuracy of the distribution network defect registration file.
According to an aspect of the present invention, there is provided a method for automatically supervising a distribution network defect file, including:
requesting a defect data file from a power grid management platform;
receiving at least one defect data file issued by a defect management module of a power grid management platform;
and performing defect analysis supervision on the defect data file, determining a target problem file, and outputting the problem reason of the target problem file.
According to another aspect of the present invention, there is provided an automatic supervision apparatus for a distribution network defect file, including:
the data request module is used for requesting the defect data file from the power grid management platform;
the data receiving module is used for receiving at least one defect data file issued by the defect management module of the power grid management platform;
and the automatic supervision module is used for carrying out defect analysis supervision on the defect data file, determining a target problem file and outputting the problem reason of the target problem file.
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, and the computer program is executed by the at least one processor, so that the at least one processor can execute the automatic supervision method for the distribution network defect file according to any embodiment 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 implement the automatic supervision method for a distribution network defect file according to any one of the embodiments of the present invention when executed.
The technical scheme of the embodiment of the invention requests the defect data file from the power grid management platform; at least one defect data file issued by a defect management module of the power grid management platform is received, the defect data file is directly acquired through the connection power grid management platform, data transmission is not needed manually, the risk of data tampering is reduced, the efficiency of acquiring the defect data file is improved, and the automatic supervision efficiency is further improved; the defect data file is subjected to defect analysis supervision, the target problem file is determined, the problem reason of the target problem file is output, the defect data file is automatically subjected to comprehensive defect analysis supervision, the supervision efficiency and accuracy can be effectively improved, and after the target problem file is determined, the reasons with defects can be sequentially output, so that the supervision effectiveness is effectively improved. The defect data file automatic supervision and analysis device solves the rapid problem that the defect data file filled by the distribution network staff cannot be rapidly and accurately supervised in the prior art, achieves automatic supervision and analysis of the defect data file, and effectively saves manpower and material resources by sequentially automatically filtering and checking the defect data file, so that supervision efficiency is improved, errors of manual checking are avoided, and supervision accuracy of the defect data file is improved.
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 invention, 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 invention, 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 an automatic supervision method for a distribution network defect file according to an embodiment of the present invention;
FIG. 2 is a flowchart of another method for automatically supervising a distribution network defect file according to a second embodiment of the present invention;
fig. 3 is a schematic structural diagram of an automatic supervision device for a distribution network defect file according to a third embodiment of the present invention;
fig. 4 is a schematic structural diagram of an electronic device for implementing the automatic supervision method of the distribution network defect file according to the embodiment of the present invention.
Detailed Description
In order that those skilled in the art will better understand the present invention, a technical solution in the embodiments of the present invention 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 invention, not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the present invention without making any inventive effort, shall fall within the scope of the present invention.
Example 1
Fig. 1 is a flowchart of an automatic supervision method for a distribution network defect file according to an embodiment of the present invention, where the method may be performed by an automatic supervision device for a distribution network defect file, and the automatic supervision device for a distribution network defect file may be implemented in a form of hardware and/or software, and the automatic supervision device for a distribution network defect file may be configured in an electronic device. As shown in fig. 1, the method includes:
s110, requesting the defect data file from the power grid management platform.
The power grid management platform can be a power grid management platform asset domain; the asset domain of the power grid management platform can be connected with a plurality of different types of power grid services in series, each service of the power grid can be mathematically connected, each service can be transversely cooperated, data of the power distribution network can be shared in circulation in each service module, the power grid management platform can provide service data sharing service, and further the service data sharing service provided by the power grid management platform can be connected with the power grid management platform to request the data which can be shared by the power grid management platform.
The defect data file may be a defect list file for a worker to register defects existing in the distribution line in the distribution network process.
Optionally, in an embodiment of the present invention, each defect data file includes a device list recording defects, a defect list, a defect elimination list, an acceptance list, an attachment list, and a flow tracking list. The equipment list records equipment detailed information of power distribution network equipment with defects, such as equipment model numbers, equipment classification types, equipment places, equipment types, equipment identifications, equipment defect phenomena, equipment defect grades, equipment management power grids, equipment defect types, defect discovery time and the like of the power distribution network equipment; the defect list records specific analysis information of the defects, such as a worker who finds the recorded defects, time for filling the defects and specific description of the defects; the defect eliminating list records belief information of the workers for eliminating the defects of the power distribution network equipment, such as defect eliminating workers for eliminating the defects, defect eliminating specific time, defect reasons, defect equipment parts, defect eliminating treatment measures, defect eliminating situation description and defect eliminating results; the acceptance list records specific information reported by the staff for acceptance after eliminating the defects of the power distribution network equipment, for example, the acceptance list can comprise the personnel of the acceptance staff, the acceptance department, the acceptance time, the acceptance result and comments; the attachment list may be an image attachment uploaded by a worker, for example, the attachment list may include a defect original image uploaded during defect registration, a process defect elimination image uploaded during defect elimination registration, an acceptance image uploaded during acceptance registration, and an image of the distribution network device before defect transmission; the flow tracking inventory may record process information for each inventory, including, for example, execution time, executives for each flow.
Optionally, in the embodiment of the present invention, a power grid worker sequentially checks each part of a power distribution network device and each part of the power distribution network device in a cruising route according to the cruising route by using an unmanned aerial vehicle, records images of the power distribution network device, performs defect registration on the power distribution network device according to defects after finding that the power distribution network device has defects, generates a device list and a defect list, photographs the defect images by using the unmanned aerial vehicle, performs defect processing on the power distribution network device having defects according to the device list and the defect list, uploads the defect list and processes the defect eliminating images, fills in a checking list when checking and photographs the corresponding checking and accepting images by using a checking and accepting staff, and stores all the images in the accessory list by using a power grid management platform, and generates a corresponding flow tracking list according to the whole defect finding to the checking and accepting flow.
Specifically, a data request is submitted through a data sharing mode provided by the power grid management platform, and a defect data file in the power grid management platform is requested.
S120, receiving at least one defect data file issued by a defect management module of the power grid management platform.
The defect management module can be a business module arranged in an asset domain of the power grid management platform; in the power grid management platform, data among all service modules can be shared in a circulating way, and a defect data file can be directly issued through the defect management module.
Optionally, in the embodiment of the present invention, the defect management module is configured to manage defect data files registered in the power distribution network, the defect management module provides a filling page of the defect data files for a worker, sequentially receives the defect data that the worker fills in and reports in different times according to a file identification number of the defect data file for the same defect data file, correspondingly stores the defect data in the same data storage space according to the file identification number, and respectively identifies each defect data file according to the file identification number.
Optionally, the power distribution network of each region is managed in the power grid management platform, a large number of defect data files exist in the defect management module, and when the defect management module receives the data request, a plurality of defect data files can be sequentially issued according to the data transmission capability.
Specifically, after the power grid management platform receives the request defect data file, the request stream is transferred to the defect management module, the defect data file is issued through the defect management module, and then a plurality of defect data files issued by the power grid management platform through the defect management model are received.
S130, performing defect analysis supervision on the defect data file, determining a target problem file, and outputting the problem reason of the target problem file.
The defect analysis supervision may be to detect all the lists in the defect data file, determine whether the contents in each list file have a violation phenomenon, and if the contents in each list in the defect data file have a violation phenomenon, determine the defect data file as a target problem file. Illustratively, the defect data file includes a device list, a defect elimination list, an acceptance list, an attachment list, and a flow tracking list, in which device type and device defect phenomena are detected as non-conforming; detecting a defect description and defect equipment mismatch in the defect list; detecting that the defect eliminating measures and the ideal defect treating measures are not consistent in the defect eliminating list; detecting that the original defect image and the device in the processing defect image are not the same device in the accessory list; detecting the confusion of the execution time corresponding to the execution node in the flow tracking list, and determining the defect file as a target problem file if the violation phenomenon exists in any one list file in the defect data file.
The problem cause may be, among other things, a problem detected in defect analysis supervision in the description defect data file. Optionally, after defect analysis supervision is performed on the defect data file, a response problem reason is output for problems existing in each manifest file in the defect data file.
Optionally, before defect analysis supervision is performed on the defect data file, problem reasons which are set according to all possible problems of the defect data file are set in advance, and by establishing a problem reason list, problem reasons which are output correspondingly for each problem are set in sequence, and when the defect data file is detected to have problems, the problem reasons which are output correspondingly are obtained according to the problem inquiry problem reason list, and then the corresponding problem reasons are output. It should be noted that, if there is more than one problem in the defect data file, the problem causes are sequentially output according to all the problems in the defect data file.
Specifically, aiming at the received defect data files, performing defect analysis supervision on each defect data file, determining the determined data file as a target problem file under the condition that the defect data file has problems, and outputting the problem reason of the target problem file; if the defect data file is not problematic, the defect data file is considered to be supervised by defect analysis.
The technical scheme of the embodiment of the invention requests the defect data file from the power grid management platform; at least one defect data file issued by a defect management module of the power grid management platform is received, the defect data file is directly acquired through the connection power grid management platform, data transmission is not needed manually, the risk of data tampering is reduced, the efficiency of acquiring the defect data file is improved, and the automatic supervision efficiency is further improved; the defect data file is subjected to defect analysis supervision, the target problem file is determined, the problem reason of the target problem file is output, the defect data file is automatically subjected to comprehensive defect analysis supervision, the supervision efficiency and accuracy can be effectively improved, and after the target problem file is determined, the reasons with defects can be sequentially output, so that the supervision effectiveness is effectively improved. The defect data file automatic supervision and analysis device solves the rapid problem that the defect data file filled by the distribution network staff cannot be rapidly and accurately supervised in the prior art, achieves automatic supervision and analysis of the defect data file, and effectively saves manpower and material resources by sequentially automatically filtering and checking the defect data file, so that supervision efficiency is improved, errors of manual checking are avoided, and supervision accuracy of the defect data file is improved.
Example two
Fig. 2 is a flowchart of another method for automatically supervising a distribution network defect file according to a second embodiment of the present invention, where the relationship between the present embodiment and the above embodiment is a specific method for performing defect analysis supervision on a defect data file. As shown in fig. 2, the automatic supervision method for the distribution network defect file includes:
s210, requesting a defect data file from a power grid management platform.
S220, receiving at least one defect data file issued by a defect management module of the power grid management platform.
S230, analyzing the defect data file, and obtaining an execution node, an executor, a defect registration file and a defect elimination registration file of the defect data file.
The executing nodes and the executives can be the nodes and the executives when each list in the flow tracking list is filled. The device list, defect list and acceptance list are recorded in real time in the flow tracking list in the defect data file, the device list is recorded in 9 am, the device list executing node is completed, the artificial A is recorded and executed, the defect list is recorded in 11 am, the defect list executing node is completed, the artificial B is recorded and executed, the defect list is filled and executed in 13 pm, the defect list executing node is completed, the artificial B is recorded and executed, the acceptance list is filled and executed in 17 pm, the acceptance list executing node is completed, and the artificial C is recorded and executed, so that the recording of the flow tracking list of the whole defect data file is completed.
Wherein the defect registration file may include a device list and a defect list in the defect data file; the defect registration file may include a defect list and an acceptance list in the defect data file. In the process of registering and filling the equipment list, the defect list and the acceptance list, corresponding images are shot and stored in the accessory list, and further, when the equipment list, the defect list and the acceptance list are acquired, the images stored in the accessory list can be directly acquired.
Specifically, when defect analysis supervision is performed on the defect data file, in order to improve defect analysis supervision efficiency, the defect data file is analyzed, the defect data file is divided into an execution node, an executor, a defect registration file and a defect elimination registration file, and data is subjected to split supervision, so that defect analysis supervision efficiency is improved.
S240, performing defect analysis supervision on the execution node, the executor, the defect registration file and the defect elimination registration file of the defect data file respectively to determine the target problem file.
Optionally, in another optional embodiment of the present invention, the performing defect analysis supervision on the execution node, the executor, the defect registration file, and the defect elimination registration file of the defect data file includes:
Acquiring the execution time corresponding to the execution node, and performing defect analysis supervision on the execution time;
acquiring the number of the executives corresponding to the executives, and performing defect analysis supervision on the number of the executives;
acquiring an original defect image and a defect attribute corresponding to the defect registration file, and performing defect analysis supervision on the defect attribute according to the original defect image; the defect attribute comprises equipment category, equipment defect phenomenon, equipment defect grade, equipment defect type and equipment management unit;
acquiring a processing defect elimination image and defect elimination attributes corresponding to the defect elimination registration file, and sequentially carrying out defect analysis supervision on the processing defect elimination image and the defect elimination attributes; wherein, the defect eliminating attribute comprises defect reason, defect equipment part and defect eliminating treatment measures.
The execution time can be a submitting time point after the completion of registration and filling of any one of the equipment list, the defect list and the acceptance list in the flow tracking list; for example, after the executive first completes the device list registration fill at 9 a.m., the flow tracking list records the device list-9 a.m. -a.
Wherein, the number of executives can be the number of names of the executives appearing in the flow tracking list of the defect data file; for example: recording 9 am to fill up the equipment list, completing the equipment list executing node, recording and executing artificial A, 11 am to fill up the defect list, completing the defect list executing node, recording and executing artificial B, 13 pm to fill up the defect list, completing the defect list executing node, recording and executing artificial B, 17 pm to fill up the acceptance list, completing the acceptance list executing node, and recording and executing artificial C; the number of executives in the defect data file is 3. The method comprises the steps of recording 9 am to fill up equipment lists, completing equipment list executing nodes, recording and executing artificial A, 11 am to fill up defect lists, completing defect list executing nodes, recording and executing artificial B, 13 pm to fill up defect eliminating lists, completing defect eliminating list executing nodes, recording and executing artificial D, 17 pm to fill up acceptance lists, completing acceptance list executing nodes, and recording and executing artificial C; the number of executives in the defect data file is 4.
Optionally, in another optional embodiment of the present invention, the performing defect analysis supervision on the execution time includes: and determining the defect data file as the target problem file in the case that the execution time has an execution time error.
Optionally, in the flow tracking list of the defect data file, the execution time of each execution node should follow a time rule, the execution node corresponding to the device list is earlier than the execution node corresponding to the other list, the execution node corresponding to the defect list is later than the execution node corresponding to the device list, earlier than the execution node corresponding to the other list, the execution node corresponding to the defect eliminating list is earlier than the execution node corresponding to the acceptance list, later than the execution node corresponding to the other list, and the execution node corresponding to the acceptance list is later than the execution node corresponding to the other list. On the basis of the time law, if the execution time corresponding to one execution node does not follow the time law, the problem of execution time error of the defect data file is considered; for example, if the execution node corresponding to the acceptance list is earlier than the execution node corresponding to any one of the other lists, the execution time of the defect data file is considered to have an execution time error, and the defect data file is determined to be the target problem file, and the problem is output because: there is an error in the execution time of the executing node.
Optionally, when the flow tracking list records each execution node, the list file corresponding to part of defects cannot be registered in time due to the influence of the working environment, so that the execution time corresponding to the execution node is allowed to not follow a time rule, and the situation that the corresponding execution time cannot be timely eliminated due to the fact that communication signals are not smooth is prevented, and serious economic loss is caused. Therefore, the embodiment of the invention also provides a function of whether the defect elimination button is advanced in the flow tracking list, and if the function of the defect elimination button is in an opened state, the defect data file is considered to be supervised through defect analysis under the condition that the defect data file has execution time errors.
Optionally, in another optional embodiment of the present invention, the performing defect analysis supervision on the number of executives includes:
and under the condition that the number of executives is smaller than a preset number of people threshold, determining the defect data file as the target problem file.
The preset people number threshold value can be a preset defect analysis supervision rule, and the number of executives of the defect data file cannot be smaller than the preset people number threshold value.
Optionally, in the defect data file, each executing node should ideally correspond to a different executor; in general, in order to improve defect elimination efficiency, the number of workers is reduced, and then the number of workers is preset in a defect data file, and the executor data is not smaller than a preset number threshold. If the number of executives is smaller than the preset number of people threshold, the defect data file is considered as a target problem file, and the problem reason is output: the number of executives is not compliant. For example, the preset number of people threshold may be set to 2 staff, the equipment list and the acceptance list corresponding to the registered defect are found to be the same staff, the specific defect situation and the staff performing defect elimination are determined to be the same staff, the number of executives in the flow tracking list is 2, and the number of executives is not less than the preset number of people threshold; if the executives of each execution node in the flow tracking list are found to be the same person, the number of the executives is smaller than a preset number threshold value, and the defect data file is determined to be a target problem file.
Optionally, in another optional embodiment of the present invention, the performing defect analysis supervision on the defect attribute according to the original defect image includes:
determining an ideal equipment category, an ideal defect appearance and an ideal defect grade according to the original defect image; determining an ideal defect type and an ideal tuning unit according to the ideal equipment category, the ideal defect appearance and the ideal defect grade; and determining the defect data file as the target problem file in the case that the ideal equipment category, the ideal defect appearance, the ideal defect level, the ideal defect type and the ideal tuning unit are different from the equipment category, the equipment defect phenomenon, the equipment defect level, the equipment defect type and the equipment tuning unit.
The original defect image can be an equipment image shot when the defect of the power distribution network equipment is found. Optionally, when cruising through unmanned aerial vehicle, when finding through unmanned aerial vehicle camera equipment that distribution network equipment exists the defect, shoot and record distribution network equipment corresponding original defect image.
Wherein, the defect attribute can be attribute information corresponding to each list in the defect registration file; it should be noted that, the attribute information is preset in each manifest file to provide personnel for filling, and the trap attribute includes at least one of equipment category, equipment defect phenomenon, equipment defect grade, equipment defect type and equipment management unit. Alternatively, the device class may be a generic class of distribution network devices, for example: the device class may be a distribution transformer; the equipment defect phenomenon can be a phenomenon corresponding to equipment defects of the power distribution network, for example, the equipment defect appearance can be that an equipment joint generates heat, burns red and changes color; the device defect level may be the urgency of the defect, for example, device defect registration may be urgent, general, and others; the type of the equipment defect can be determined according to the phenomenon of the equipment defect, for example, the appearance of the equipment defect is that the joint of the equipment heats up to be red and changes color, and the type of the equipment defect is that the joint heats up; the device management unit may be a management unit corresponding to the device.
The defect eliminating attribute may be attribute information corresponding to each list in the defect eliminating registration file, and the defect eliminating attribute includes at least one of defect reason, defect equipment part and defect eliminating treatment measure. Alternatively, defect causes are typically filled in the defect list, and the defect causes may be causes causing defects in the device, and exemplary causes causing redness in the joint may be: poor contact; the defective device location may be a specific location where the device is defective, such as: the low-voltage sleeve in the transformer is a low-voltage sleeve at a defect part; the defect eliminating treatment measure can be a treatment mode for eliminating equipment defects, and the defect eliminating treatment measure of the working personnel can be power failure replacement aiming at high-temperature discoloration of a low-voltage sleeve in the transformer.
The ideal device class may be a device class obtained by performing image recognition on the original defect image; the ideal defect appearance may be a defect appearance obtained by performing image recognition on the original defect image; the ideal defect may be a defect obtained by image recognition of an original defect image.
Optionally, an original defect image is obtained through the accessory list, image recognition is carried out on the original defect image, equipment in the original defect image is recognized, equipment types corresponding to the equipment are determined, defect extraction is carried out on the defects through the defect recognition model, and ideal defect appearance and ideal defect of the equipment defects in the original defect image are determined. The defect recognition model can be an image recognition model obtained based on training of a neural network, and the neural network model is obtained by automatically learning the existing defect sample image and automatically simulating defects of the power distribution network equipment as the defect sample image and performing deep learning algorithm training; the defect identification model can identify the defect appearance of the equipment in the image and judge the equipment defect corresponding to the defect appearance.
The ideal defect type can be defect type obtained through original defect image identification, extraction and analysis; the ideal tuning unit can be obtained by identifying, extracting and analyzing the original defect image. Optionally, in an embodiment of the present invention, a device classification list is stored in the power grid management platform, and after the ideal device class, the ideal defect appearance and the ideal defect registration are obtained, the power grid management platform requests to query the device classification list from the power grid management platform according to the ideal device class, the ideal defect appearance and the ideal defect registration, and returns the type defect class and the ideal management unit through the device classification list.
Optionally, when the ideal equipment category, the ideal defect appearance, the ideal defect level, the ideal defect type and the ideal adjustment unit are obtained, the ideal equipment category and the equipment category are respectively compared, the ideal defect appearance and the equipment defect appearance are respectively compared, the ideal defect type and the equipment defect type are respectively compared, the ideal defect level and the equipment defect are respectively compared, the ideal adjustment unit and the equipment adjustment unit are respectively compared, whether each item of ideal information and registration information are identical or not is judged, when any item of comparison is different and different exists, the defect data file is determined to be a target problem file, and the problem is output because: the registration information is incorrect.
Optionally, in another optional embodiment of the present invention, the performing defect analysis supervision on the processed defect elimination image and defect elimination data includes:
determining at least one ideal defect treatment measure according to the defect cause and the defect equipment position, and respectively acquiring an image record identifier of the treatment defect elimination image and an image record identifier of the original defect image; the image record mark comprises an image shooting position and image annotation information; determining the defect data file as the target problem file when any one of the following exists: the defect eliminating treatment measure is different from any ideal defect treating measure; the image record identification of the processing defect image is different from the image record identification of the original defect image; the processing defect eliminating image is different from the preset standard defect eliminating image.
The ideal defect treatment measure can be a defect treatment measure output by the power grid management platform according to a defect reason and a defect equipment position through a large model. Optionally, training a defect processing language model through a large amount of data and computing resources in the power grid management platform, and training aiming at the defect processing measures according to defect processing measures in a large amount of defect data files of the power grid management platform as a large corpus to obtain the defect processing language model. And then, uploading the defect reason and the defect equipment level to a defect processing language model, and outputting at least one ideal defect processing measure according to the defect reason and the defect equipment level through the defect processing language model.
The image record identifier may be identifier information corresponding to the image obtained by shooting, and the image record identifier of the image can effectively determine the image shooting information. The image record identification comprises an image shooting position and image annotation information, wherein the image shooting position can be a position when the power distribution network equipment is shot and can be used for determining the position information of the power distribution network equipment; the image annotation information may be information for annotating the photographed power distribution network device in the image, and the image annotation information may include at least one of a power distribution network device name, a power distribution network device photographing time, a power distribution network device type, a photographing angle, and a photographing device identification.
Optionally, in the embodiment of the invention, a worker shoots according to a fixed cruising route through the unmanned aerial vehicle, so that when the unmanned aerial vehicle camera equipment shoots the power distribution network equipment, the positioning system and the cruising route of the unmanned aerial vehicle can identify the image shooting position when the power distribution network equipment is shot, and further the position information of the power distribution network equipment can be determined; and the shot image is automatically marked with image marking information. The power distribution network equipment can be an A city B street No. 12 transformer, the unmanned aerial vehicle flies to the position above the A city B street No. 12 transformer according to a fixed cruising route, shooting equipment carried by the unmanned aerial vehicle is adjusted to shoot the power distribution network equipment to obtain an image, the corresponding record is the A city B street No. 12 transformer, meanwhile, the unmanned aerial vehicle obtains the shooting angle of the shooting equipment, and the shooting obtained image is marked with: a city B street No. 12 transformer, high angle shooting, angle of 150 degrees, shooting at 10 am, unmanned aerial vehicle sign. The unmanned aerial vehicle identification can be an identification number preset by the power grid management platform for the unmanned aerial vehicle.
Optionally, comparing the defect eliminating measure with at least one ideal defect eliminating measure, if the defect eliminating measure is not successfully compared with any one ideal defect eliminating measure, considering that the defect eliminating measure in the defect data file has a problem of improper operation, determining the defect data file as a target problem file, and outputting the problem because: the defect eliminating operation is improper.
Optionally, after the defect elimination is completed, image shooting is performed on the power distribution network equipment with defects eliminated by the defect elimination staff to obtain a processed defect elimination image, image shooting position and image labeling information are determined on the processed defect elimination image, an address and an equipment pattern corresponding to the power distribution network equipment with defects eliminated are determined through the image shooting position and the image labeling information of the processed defect elimination image, further, the address and the equipment pattern of the power distribution network equipment obtained according to the original defect image are compared, if the comparison of the address and the equipment pattern of the original defect elimination image and the address and the equipment pattern of the processed defect elimination image fails, the power distribution network equipment with defects eliminated in the defect data file is considered to be unmatched, the defect data file is determined as a target problem file, and the output problem is because: eliminating equipment mismatch. When the equipment styles are compared, as the angles of processing the defect eliminating image shot by the defect eliminating staff and the original defect image shot are different, the two images can be respectively identified through the defect processing language model, and the equipment styles corresponding to the processing defect eliminating image and the original defect image are determined, so that the equipment styles are compared.
Optionally, in another optional embodiment of the present invention, after the defect removing staff completes defect removing, the unmanned aerial vehicle shoots the power distribution network device according to the cruising route and the same shooting position and shooting angle according to the selection of the original defect image, the acquired image updates the processed defect removing image as a new processed defect removing image, and the processed defect removing image and the original defect removing image are matched through pixels, so that device style comparison is realized.
The technical scheme of the embodiment of the invention requests the defect data file from the power grid management platform; at least one defect data file issued by a defect management module of the power grid management platform is received, the defect data file is directly acquired through the connection power grid management platform, data transmission is not needed manually, the risk of data tampering is reduced, the efficiency of acquiring the defect data file is improved, and the automatic supervision efficiency is further improved; the defect data file is subjected to defect analysis supervision, the target problem file is determined, the problem reason of the target problem file is output, the defect data file is automatically subjected to comprehensive defect analysis supervision, the supervision efficiency and accuracy can be effectively improved, and after the target problem file is determined, the reasons with defects can be sequentially output, so that the supervision effectiveness is effectively improved. The defect data file automatic supervision and analysis device solves the rapid problem that the defect data file filled by the distribution network staff cannot be rapidly and accurately supervised in the prior art, achieves automatic supervision and analysis of the defect data file, and effectively saves manpower and material resources by sequentially automatically filtering and checking the defect data file, so that supervision efficiency is improved, errors of manual checking are avoided, and supervision accuracy of the defect data file is improved.
Example III
Fig. 3 is a schematic structural diagram of an automatic supervision device for a distribution network defect file according to a fourth embodiment of the present invention. As shown in fig. 3, the apparatus includes: a data request module 310, a data receiving module 320, and an automatic supervision module 330, wherein,
a data request module 310, configured to request a defect data file from a grid management platform;
the data receiving module 320 is configured to receive at least one defect data file issued by the defect management module of the power grid management platform;
the automatic supervision module 330 is configured to perform defect analysis supervision on the defect data file, determine a target problem file, and output a problem reason of the target problem file.
The technical scheme of the embodiment of the invention requests the defect data file from the power grid management platform; at least one defect data file issued by a defect management module of the power grid management platform is received, the defect data file is directly acquired through the connection power grid management platform, data transmission is not needed manually, the risk of data tampering is reduced, the efficiency of acquiring the defect data file is improved, and the automatic supervision efficiency is further improved; the defect data file is subjected to defect analysis supervision, the target problem file is determined, the problem reason of the target problem file is output, the defect data file is automatically subjected to comprehensive defect analysis supervision, the supervision efficiency and accuracy can be effectively improved, and after the target problem file is determined, the reasons with defects can be sequentially output, so that the supervision effectiveness is effectively improved. The defect data file automatic supervision and analysis device solves the rapid problem that the defect data file filled by the distribution network staff cannot be rapidly and accurately supervised in the prior art, achieves automatic supervision and analysis of the defect data file, and effectively saves manpower and material resources by sequentially automatically filtering and checking the defect data file, so that supervision efficiency is improved, errors of manual checking are avoided, and supervision accuracy of the defect data file is improved.
Optionally, the automatic supervision module is specifically configured to:
analyzing the defect data file to obtain an execution node, an executor, a defect registration file and a defect elimination registration file of the defect data file;
and respectively carrying out defect analysis supervision on the execution node, the executor, the defect registration file and the defect elimination registration file of the defect data file, and determining the target problem file.
Optionally, the automatic supervision module is specifically further configured to:
acquiring the execution time corresponding to the execution node, and performing defect analysis supervision on the execution time;
acquiring the number of the executives corresponding to the executives, and performing defect analysis supervision on the number of the executives;
acquiring an original defect image and a defect attribute corresponding to the defect registration file, and performing defect analysis supervision on the defect attribute according to the original defect image; the defect attribute comprises equipment category, equipment defect phenomenon, equipment defect grade, equipment defect type and equipment management unit;
acquiring a processing defect elimination image and defect elimination attributes corresponding to the defect elimination registration file, and sequentially carrying out defect analysis supervision on the processing defect elimination image and the defect elimination attributes; wherein, the defect eliminating attribute comprises defect reason, defect equipment part and defect eliminating treatment measures.
Optionally, the automatic supervision module is specifically further configured to:
and determining the defect data file as the target problem file in the case that the execution time has an execution time error.
Optionally, the automatic supervision module is specifically further configured to:
and under the condition that the number of executives is smaller than a preset number of people threshold, determining the defect data file as the target problem file.
Optionally, the automatic supervision module is specifically further configured to:
determining an ideal equipment category, an ideal defect appearance and an ideal defect grade according to the original defect image;
determining an ideal defect type and an ideal tuning unit according to the ideal equipment category, the ideal defect appearance and the ideal defect grade;
and determining the defect data file as the target problem file in the case that the ideal equipment category, the ideal defect appearance, the ideal defect level, the ideal defect type and the ideal tuning unit are different from the equipment category, the equipment defect phenomenon, the equipment defect level, the equipment defect type and the equipment tuning unit.
Optionally, the automatic supervision module is specifically further configured to:
Determining at least one ideal defect treatment measure according to the defect cause and the defect equipment position, and respectively acquiring an image record identifier of the treatment defect elimination image and an image record identifier of the original defect image; the image record mark comprises an image shooting position and image annotation information;
determining the defect data file as the target problem file when any one of the following exists:
the defect eliminating treatment measure is different from any ideal defect treating measure;
and the image record identification of the processing defect image is different from the image record identification of the original defect image.
The automatic supervision device for the distribution network defect file provided by the embodiment of the invention can execute the automatic supervision method for the distribution network defect file provided by any embodiment of the invention, 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 various methods and processes described above, such as the distribution network defect file automatic supervision method.
In some embodiments, the distribution network defect file automatic supervision method may be implemented as a computer program, which is 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 RAM 13 and executed by processor 11, one or more steps of the automatic supervision method of a distribution network defect file described above may be performed. Alternatively, in other embodiments, the processor 11 may be configured to perform the distribution network defect file automatic supervision method in any other suitable way (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), load 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.
Example five
The present embodiment provides a computer readable storage medium having stored thereon a computer program which, when executed by a processor, implements the steps of a distribution network defect file automatic supervision method according to any embodiment of the present invention, the method comprising:
requesting a defect data file from a power grid management platform;
receiving at least one defect data file issued by a defect management module of a power grid management platform;
and performing defect analysis supervision on the defect data file, determining a target problem file, and outputting the problem reason of the target problem file.
The computer storage media of embodiments of the invention may take the form of any combination of one or more computer-readable media. The computer readable medium may be a computer readable signal medium or a computer readable storage medium. The computer readable storage medium may be, for example, but not limited to: an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or a combination of any of the foregoing. More specific examples (a non-exhaustive list) of the computer-readable storage medium would include the following: an electrical connection having 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. In this document, a computer readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device.
The computer readable signal medium may include a propagated data signal with computer readable program code embodied therein, either in baseband or as part of a carrier wave. Such a propagated data signal may take any of a variety of forms, including, but not limited to, electro-magnetic, optical, or any suitable combination of the foregoing. A computer readable signal medium may also be any computer readable medium that is not a computer readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device.
Program code embodied on a computer readable medium may be transmitted using any appropriate medium, including but not limited to: wireless, wire, fiber optic cable, RF, etc., or any suitable combination of the foregoing.
Computer program code for carrying out operations of the present invention may be written in one or more programming languages, including an object oriented programming language such as Java, smalltalk, C ++ and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The program code may execute entirely on the user's computer, partly on the user's computer, as a stand-alone software package, partly on the user's computer and partly on a remote computer or entirely on the remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer through any kind of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or may be connected to an external computer (for example, through the Internet using an Internet service provider).
It will be appreciated by those of ordinary skill in the art that the modules or steps of the invention described above may be implemented in a general purpose computing device, they may be centralized on a single computing device, or distributed over a network of computing devices, or they may alternatively be implemented in program code executable by a computer device, such that they are stored in a memory device and executed by the computing device, or they may be separately fabricated as individual integrated circuit modules, or multiple modules or steps within them may be fabricated as a single integrated circuit module. Thus, the present invention is not limited to any specific combination of hardware and software.
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. An automatic supervision method for a distribution network defect file is characterized by comprising the following steps:
requesting a defect data file from a power grid management platform;
receiving at least one defect data file issued by a defect management module of a power grid management platform;
and performing defect analysis supervision on the defect data file, determining a target problem file, and outputting the problem reason of the target problem file.
2. The method of claim 1, wherein said performing defect analysis supervision on said defect data file to determine said target problem file comprises:
analyzing the defect data file to obtain an execution node, an executor, a defect registration file and a defect elimination registration file of the defect data file;
and respectively carrying out defect analysis supervision on the execution node, the executor, the defect registration file and the defect elimination registration file of the defect data file, and determining the target problem file.
3. The method of claim 2, wherein performing defect analysis supervision on the execution node, the executor, and the defect registration file and the defect elimination registration file of the defect data file, respectively, comprises:
acquiring the execution time corresponding to the execution node, and performing defect analysis supervision on the execution time;
Acquiring the number of the executives corresponding to the executives, and performing defect analysis supervision on the number of the executives;
acquiring an original defect image and a defect attribute corresponding to the defect registration file, and performing defect analysis supervision on the defect attribute according to the original defect image; the defect attribute comprises equipment category, equipment defect phenomenon, equipment defect grade, equipment defect type and equipment management unit;
acquiring a processing defect elimination image and defect elimination attributes corresponding to the defect elimination registration file, and sequentially carrying out defect analysis supervision on the processing defect elimination image and the defect elimination attributes; wherein, the defect eliminating attribute comprises defect reason, defect equipment part and defect eliminating treatment measures.
4. A method according to claim 3, wherein said performing defect analysis supervision of said execution time comprises:
and determining the defect data file as the target problem file in the case that the execution time has an execution time error.
5. The method of claim 3, wherein the performing defect analysis supervision on the executive number comprises:
and under the condition that the number of executives is smaller than a preset number of people threshold, determining the defect data file as the target problem file.
6. A method according to claim 3, wherein said defect analysis supervision of said defect attributes from said original defect image comprises:
determining an ideal equipment category, an ideal defect appearance and an ideal defect grade according to the original defect image;
determining an ideal defect type and an ideal tuning unit according to the ideal equipment category, the ideal defect appearance and the ideal defect grade;
and determining the defect data file as the target problem file in the case that the ideal equipment category, the ideal defect appearance, the ideal defect level, the ideal defect type and the ideal tuning unit are different from the equipment category, the equipment defect phenomenon, the equipment defect level, the equipment defect type and the equipment tuning unit.
7. A method according to claim 3, wherein said defect analysis supervision of said processed defect elimination image and defect elimination data comprises:
determining at least one ideal defect treatment measure according to the defect cause and the defect equipment position, and respectively acquiring an image record identifier of the treatment defect elimination image and an image record identifier of the original defect image; the image record mark comprises an image shooting position and image annotation information;
Determining the defect data file as the target problem file when any one of the following exists:
the defect eliminating treatment measure is different from any ideal defect treating measure;
and the image record identification of the processing defect image is different from the image record identification of the original defect image.
8. An automatic supervision device for distribution network defect files, which is characterized by comprising:
the data request module is used for requesting the defect data file from the power grid management platform;
the data receiving module is used for receiving at least one defect data file issued by the defect management module of the power grid management platform;
and the automatic supervision module is used for carrying out defect analysis supervision on the defect data file, determining a target problem file and outputting the problem reason of the target problem file.
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 distribution network defect file automatic supervision method of any one of claims 1-7.
10. A computer readable storage medium, wherein the computer readable storage medium stores computer instructions for causing a processor to implement the distribution network defect file automatic supervision method according to any one of claims 1-7 when executed.
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