CN115797291A - Circuit terminal identification method and device, computer equipment and storage medium - Google Patents
Circuit terminal identification method and device, computer equipment and storage medium Download PDFInfo
- Publication number
- CN115797291A CN115797291A CN202211541542.0A CN202211541542A CN115797291A CN 115797291 A CN115797291 A CN 115797291A CN 202211541542 A CN202211541542 A CN 202211541542A CN 115797291 A CN115797291 A CN 115797291A
- Authority
- CN
- China
- Prior art keywords
- terminal
- information
- result
- identification result
- information identification
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
- 238000000034 method Methods 0.000 title claims abstract description 58
- 238000004590 computer program Methods 0.000 claims abstract description 30
- 238000001514 detection method Methods 0.000 claims abstract description 25
- 238000007781 pre-processing Methods 0.000 claims description 13
- 230000008569 process Effects 0.000 description 11
- 238000010586 diagram Methods 0.000 description 9
- 238000013473 artificial intelligence Methods 0.000 description 7
- 238000012545 processing Methods 0.000 description 7
- 238000012015 optical character recognition Methods 0.000 description 6
- 238000013461 design Methods 0.000 description 4
- 230000002349 favourable effect Effects 0.000 description 4
- 230000006870 function Effects 0.000 description 4
- 238000011835 investigation Methods 0.000 description 4
- 238000004891 communication Methods 0.000 description 3
- 230000000694 effects Effects 0.000 description 3
- 238000005516 engineering process Methods 0.000 description 3
- 101001018259 Homo sapiens Microtubule-associated serine/threonine-protein kinase 1 Proteins 0.000 description 2
- 101000693728 Homo sapiens S-acyl fatty acid synthase thioesterase, medium chain Proteins 0.000 description 2
- 102100025541 S-acyl fatty acid synthase thioesterase, medium chain Human genes 0.000 description 2
- 239000003086 colorant Substances 0.000 description 2
- OKTJSMMVPCPJKN-UHFFFAOYSA-N Carbon Chemical compound [C] OKTJSMMVPCPJKN-UHFFFAOYSA-N 0.000 description 1
- 102100032202 Cornulin Human genes 0.000 description 1
- 101000920981 Homo sapiens Cornulin Proteins 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000005540 biological transmission Effects 0.000 description 1
- 230000008859 change Effects 0.000 description 1
- 238000013136 deep learning model Methods 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 229910021389 graphene Inorganic materials 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 230000000877 morphologic effect Effects 0.000 description 1
- 238000003062 neural network model Methods 0.000 description 1
- 230000003287 optical effect Effects 0.000 description 1
- 238000005457 optimization Methods 0.000 description 1
- 230000004044 response Effects 0.000 description 1
- 230000003068 static effect Effects 0.000 description 1
- 238000012549 training Methods 0.000 description 1
Images
Landscapes
- Image Analysis (AREA)
Abstract
The application relates to a loop terminal identification method, a loop terminal identification device, a computer device, a storage medium and a computer program product. The method comprises the following steps: acquiring a field shooting image aiming at a target loop terminal strip and a principle drawing file corresponding to the target loop terminal strip; inputting the field shot image into a pre-trained information recognition model to obtain a terminal row information recognition result of the field shot image and a drawing information recognition result corresponding to a principle drawing file; comparing the terminal block information identification result with a drawing information identification result to obtain a comparison result of each terminal in a target loop terminal block; and generating a recognition result aiming at the target circuit terminal block according to the comparison result. By adopting the method, the detection efficiency of the loop terminal can be improved.
Description
Technical Field
The present application relates to the field of artificial intelligence technologies, and in particular, to a method and an apparatus for identifying a loop terminal, a computer device, a storage medium, and a computer program product.
Background
With the development of electronic power technology, loop terminals are increasingly used in various fields, which play a role in connection with the transmission of electrical signals and conduction.
In the conventional technology, when a loop terminal is detected, information is mainly checked manually. However, in this detection method, the position, content, and form shape of information such as a drawing number, a cable number, a terminal number, and the like in a related drawing are not fixed, and it is difficult to perform identification by a fixed method, so that an information checking process is complicated, and detection efficiency of a loop terminal is low.
Disclosure of Invention
In view of the above, it is necessary to provide a loop terminal identification method, apparatus, computer device, computer readable storage medium, and computer program product capable of improving the detection efficiency of the loop terminal in view of the above technical problems.
In a first aspect, the present application provides a loop terminal identification method. The method comprises the following steps:
acquiring a field shooting image aiming at a target loop terminal strip and a principle drawing file corresponding to the target loop terminal strip;
inputting the field shot image into a pre-trained information recognition model to obtain a terminal row information recognition result of the field shot image and a drawing information recognition result corresponding to the principle drawing file;
comparing the terminal row information identification result with the drawing information identification result to obtain a comparison result of each terminal in the target circuit terminal row;
and generating an identification result aiming at the target circuit terminal strip according to the comparison result.
In one embodiment, the obtaining of the drawing information identification result corresponding to the principle drawing file includes:
acquiring a target drawing number corresponding to the principle drawing file;
and acquiring a drawing information identification result corresponding to the target drawing number from drawing information identification results corresponding to a plurality of preset drawing numbers, and taking the drawing information identification result corresponding to the principle drawing file as the drawing information identification result.
In one embodiment, before obtaining a drawing information identification result corresponding to the target drawing number from drawing information identification results corresponding to a plurality of preset drawing numbers as a drawing information identification result corresponding to the principle drawing file, the method further includes:
acquiring preset principle drawing files corresponding to a plurality of preset drawing numbers;
preprocessing a preset principle drawing file corresponding to each preset drawing number to obtain each preprocessed preset principle drawing file;
and performing information identification on each preprocessed preset principle drawing file to obtain a drawing information identification result corresponding to each preprocessed preset principle drawing file, wherein the drawing information identification result is correspondingly used as the drawing information identification result corresponding to each preset drawing number.
In one embodiment, the performing information identification on each preprocessed preset principle drawing file to obtain a drawing information identification result corresponding to each preprocessed preset principle drawing file includes:
acquiring a gray scale map corresponding to the preprocessed preset principle drawing file;
inputting the gray-scale image into a pre-trained text detection model for text positioning to obtain a target table area in the gray-scale image;
performing information recognition on the target table area through a pre-trained text recognition model to obtain a target table information recognition result;
and taking the target form information identification result as a drawing information identification result corresponding to the preprocessed preset principle drawing file.
In one embodiment, the inputting the live images into a pre-trained information recognition model to obtain the terminal information recognition result of the live images includes:
performing text positioning on the field shot image through the pre-trained information recognition model to obtain a target character area in the field shot image;
and performing character recognition on the target character area through the pre-trained information recognition model to obtain a corresponding character recognition result which is used as a terminal information recognition result of the field shot image.
In one embodiment, the comparing the terminal block information identification result with the drawing information identification result to obtain a comparison result of each terminal in the target circuit terminal block includes:
comparing each terminal information identification result in the terminal row information identification result with each terminal information identification result in the drawing information identification result to obtain a comparison result of each terminal in the target loop terminal row; each terminal information identification result at least comprises a loop number, a cable core number, a terminal row number and a terminal number;
the generating of the identification result for the target circuit terminal strip according to the comparison result comprises:
confirming that the identification result aiming at the target circuit terminal row is successfully compared under the condition that the information comparison result of each terminal is a correct comparison result;
and confirming that the identification result of the target circuit terminal row is a comparison failure when the information comparison result of at least one terminal is an error comparison result.
In a second aspect, the present application further provides a loop terminal identification device. The device comprises:
the information acquisition module is used for acquiring a field shooting image aiming at a target circuit terminal strip and a principle drawing file corresponding to the target circuit terminal strip;
the information identification module is used for inputting the field shot image into a pre-trained information identification model, obtaining a terminal row information identification result of the field shot image and obtaining a drawing information identification result corresponding to the principle drawing file;
the information comparison module is used for comparing the terminal block information identification result with the drawing information identification result to obtain a comparison result of each terminal in the target loop terminal block;
and the result generation module is used for generating an identification result aiming at the target circuit terminal strip according to the comparison result.
In a third aspect, the present application also provides a computer device. The computer device comprises a memory storing a computer program and a processor implementing the following steps when executing the computer program:
acquiring a field shooting image aiming at a target loop terminal strip and a principle drawing file corresponding to the target loop terminal strip;
inputting the field shot image into a pre-trained information recognition model to obtain a terminal row information recognition result of the field shot image and obtain a drawing information recognition result corresponding to the principle drawing file;
comparing the terminal row information identification result with the drawing information identification result to obtain a comparison result of each terminal in the target circuit terminal row;
and generating an identification result aiming at the target loop terminal strip according to the comparison result.
In a fourth aspect, the present application further provides a computer-readable storage medium. The computer-readable storage medium having stored thereon a computer program which, when executed by a processor, performs the steps of:
acquiring a field shooting image aiming at a target loop terminal strip and a principle drawing file corresponding to the target loop terminal strip;
inputting the field shot image into a pre-trained information recognition model to obtain a terminal row information recognition result of the field shot image and a drawing information recognition result corresponding to the principle drawing file;
comparing the terminal block information identification result with the drawing information identification result to obtain a comparison result of each terminal in the target loop terminal block;
and generating an identification result aiming at the target loop terminal strip according to the comparison result.
In a fifth aspect, the present application further provides a computer program product. The computer program product comprising a computer program which when executed by a processor performs the steps of:
acquiring a field shooting image aiming at a target loop terminal strip and a principle drawing file corresponding to the target loop terminal strip;
inputting the field shot image into a pre-trained information recognition model to obtain a terminal row information recognition result of the field shot image and obtain a drawing information recognition result corresponding to the principle drawing file;
comparing the terminal row information identification result with the drawing information identification result to obtain a comparison result of each terminal in the target circuit terminal row;
and generating a recognition result aiming at the target circuit terminal block according to the comparison result.
The identification method, the identification device, the computer equipment, the storage medium and the computer program product of the loop terminal are characterized in that a field shooting image aiming at a target loop terminal row and a principle drawing file corresponding to the target loop terminal are obtained; inputting the field shooting image into a pre-trained information recognition model to obtain a terminal row information recognition result of the field shooting image and a drawing information recognition result corresponding to the principle drawing file; then comparing the terminal row information identification result with the drawing information identification result to obtain a comparison result of each terminal in the terminal row of the target circuit; and finally, generating an identification result aiming at the target circuit terminal block according to the comparison result. Therefore, a field shooting image aiming at the target loop terminal row is obtained, and a principle drawing file corresponding to the target loop terminal can be accurately identified and obtained; inputting the on-site shot image into a pre-trained information recognition model, so that the terminal strip information of the on-site shot image is recognized through the preset information recognition model, and the terminal strip information recognition result of the on-site shot image can be accurately obtained; after the principle drawing file corresponding to the target loop terminal is obtained, a drawing information identification result corresponding to the principle drawing file can be obtained in a targeted mode; then, comparing the terminal block information identification result with the drawing information identification result to obtain a comparison result of each terminal in the target circuit terminal block, and effectively utilizing related known information to carry out one-by-one comparison so as to quickly and accurately obtain the comparison result of each terminal in the target circuit terminal block; finally, according to the comparison result, generating an identification result aiming at the target loop terminal strip; adopt the difference and sameness between scene shooting image of artificial intelligence mode contrast and the principle drawing file promptly, be favorable to accurately deriving the identification result fast, and whole process need not artifical manual detection to loaded down with trivial details processes such as having avoided carrying out information investigation through artifical manual, and then improved the detection efficiency of return circuit terminal.
Drawings
FIG. 1 is a diagram of an exemplary embodiment of a loop terminal identification method;
FIG. 2 is a schematic flow chart diagram illustrating a method for identifying loop terminals in one embodiment;
FIG. 3 is a schematic illustration of a live shot image in one embodiment;
FIG. 4 is a diagram illustrating the recognition effect of the terminal strip information of the live view image according to one embodiment;
FIG. 5 is a schematic diagram of a loop terminal identification smart identification system in one embodiment;
FIG. 6 is a flowchart illustrating the steps of preprocessing a pre-defined schematic drawing document according to one embodiment;
FIG. 7 is a flowchart illustrating steps for performing information recognition on a preprocessed predefined schematic drawing document according to one embodiment;
FIG. 8 is a schematic flow chart illustrating a method for identifying a loop terminal according to another embodiment;
FIG. 9 is a schematic flow chart illustrating a method for identifying loop terminals in accordance with another embodiment;
FIG. 10 is a block diagram showing the structure of a circuit terminal identification device according to an embodiment;
FIG. 11 is a diagram of the internal structure of a computer device in one embodiment.
Detailed Description
In order to make the objects, technical solutions and advantages of the present application more clearly understood, the present application is further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the present application and are not intended to limit the present application.
The loop terminal identification method provided by the embodiment of the application can be applied to the application environment shown in fig. 1. Fig. 1 provides an artificial intelligence platform, which includes a client 101 and a server 102, where the client 101 communicates with the server 102 through a network. Specifically, referring to fig. 1, a client 101 captures a target circuit terminal block through an application program such as mobile phone software or an applet, obtains a field captured image for the target circuit terminal block, obtains a principle drawing file corresponding to the target circuit terminal from a local database, and uploads the field captured image for the target circuit terminal block and the principle drawing file corresponding to the target circuit terminal to a server 102. The server 102 inputs the on-site shot image into a pre-trained information identification model to obtain a terminal row information identification result of the on-site shot image, obtains a drawing information identification result corresponding to a principle drawing file, and compares the terminal row information identification result with the drawing information identification result to obtain a comparison result of each terminal in a target circuit terminal row; and generating a recognition result aiming at the target circuit terminal block according to the comparison result. Further, the server 102 may also return the identification result for the target loop terminal strip to the client 101, and display the identification result for the target loop terminal strip through an interface of the client 101. The client 101 may be, but is not limited to, various personal computers, notebook computers, smart phones, and tablet computers. The server side 102 may be implemented by an independent server or a server cluster composed of a plurality of servers.
In one embodiment, as shown in fig. 2, a method for identifying a loop terminal is provided, which is described by taking the method as an example applied to the server side in fig. 1, and includes the following steps:
step S201, a live shot image for the target circuit terminal block and a schematic drawing file corresponding to the target circuit terminal block are acquired.
The loop terminal block refers to a loop terminal combination in which a plurality of loop terminals are arranged in a certain order. The target loop terminal strip refers to a loop terminal strip which the client currently needs to identify.
The schematic drawing file refers to a file containing loop terminal design drawing information, such as a PDF file.
Specifically, the server side responds to an identification request which is initiated by a user through the client side and aims at the target circuit terminal strip, generates an information acquisition instruction, and acquires a field shooting image aiming at the target circuit terminal strip and a principle drawing file corresponding to the target circuit terminal strip according to the information acquisition instruction.
For example, a user needs to identify the wiring condition of the terminal block with the terminal block number X102, the server generates an information acquisition instruction in response to a loop terminal identification request initiated by the user, and acquires a live shot image of the target loop terminal block X102 and a schematic drawing file corresponding to the target loop terminal block X102 according to the information acquisition instruction.
Step S202, inputting the scene shooting image into the pre-trained information recognition model, obtaining the terminal row information recognition result of the scene shooting image, and obtaining the drawing information recognition result corresponding to the principle drawing file.
The information recognition model refers to an artificial intelligence model with text positioning and character recognition functions, such as a neural network model, a deep learning model, and the like.
As shown in fig. 3, the figure is a field shot image, and the number of the number tube in the figure is: 701A/=21VG20+ Q1-W351/01/-X102:1L, the expression means that the cable No. 01 core of the cable with the cable number 21VG20+ Q1-W351 is accessed to the No. 1L terminal of the X102 terminal row, and the number of the loop is 701A.
As shown in fig. 4, the terminal strip information identification result is a terminal strip information identification effect diagram containing key information such as a loop number, a cable core number, a terminal strip number, a terminal number, and the like.
The drawing information identification result contains key information such as a drawing number, a loop number, a cable core number, a terminal row number and a terminal number.
Specifically, the server side obtains a pre-trained information recognition model, sets the model as a target model, and inputs the field shooting image into the target model for analysis and processing to obtain a terminal strip information recognition result of the field shooting image; and searching and acquiring a drawing information identification result corresponding to the principle drawing file according to the principle drawing file corresponding to the target loop terminal block.
And step S203, comparing the terminal block information identification result with the drawing information identification result to obtain a comparison result of each terminal in the target circuit terminal block.
The comparison result comprises a correct comparison result and an incorrect comparison result, the correct comparison result means that the corresponding information is consistent, and the incorrect comparison result means that the corresponding information is inconsistent.
Specifically, the server side analyzes and compares corresponding information one by one between each terminal information identification result in the terminal row information identification result and each terminal information identification result in the drawing information identification result, and summarizes to obtain a comparison result of each terminal in the target loop terminal row.
For example, the server side summarizes and outputs the comparison result in a form of a table for the loop terminal row X102, the comparison result is divided into two rows of upper and lower identification situations of output drawing numbers, loop numbers, cable core numbers, terminal row numbers and terminal numbers, the identification result comparison is performed through a system program, the correct and wrong wiring situations are distinguished by different ground colors, and the correct and wrong identification numbers can be counted.
And step S204, generating a recognition result aiming at the target circuit terminal strip according to the comparison result.
The identification result comprises a successful comparison result and a failed comparison result, the successful comparison means that the information comparison result of each terminal is a correct comparison result, and the failed comparison means that the information comparison result of at least one terminal is an incorrect comparison result.
Specifically, the server side analyzes and counts the obtained comparison result, and correspondingly generates an identification result for the target circuit terminal strip according to the statistical result obtained by analyzing and counting.
For example, the server side analyzes and counts the obtained comparison results, and if the obtained statistical result is that the information comparison result of each terminal is a correct comparison result, the identification result for the target circuit terminal row is generated as a successful comparison.
It should be noted that the identification method of the loop terminal can be applied to the loop terminal identification intelligent identification system shown in fig. 5.
In the identification method of the loop terminal, a field shot image aiming at a target loop terminal row is obtained first, and a principle drawing file corresponding to the target loop terminal can be accurately identified and obtained; inputting the field shot image into a pre-trained information recognition model to obtain a terminal strip information recognition result of the field shot image, so that the terminal strip information of the field shot image is recognized through the preset information recognition model, and the terminal strip information recognition result of the field shot image can be accurately obtained; after the principle drawing file corresponding to the target loop terminal is obtained, the drawing information identification result corresponding to the principle drawing file can be obtained in a targeted manner; then, comparing the terminal row information identification result with the drawing information identification result to obtain a comparison result of each terminal in the target circuit terminal row, and effectively utilizing related known information to compare one by one so as to quickly and accurately obtain the comparison result of each terminal in the target circuit terminal row; finally, according to the comparison result, generating an identification result aiming at the target circuit terminal block; adopt the mode of artificial intelligence to compare the difference and sameness between scene shooting image and the principle drawing file promptly, be favorable to accurately deriving the identification result fast, and whole process need not artifical manual detection to avoid carrying out loaded down with trivial details processes such as information investigation through artifical manual, and then improved the detection efficiency of return circuit terminal.
In an embodiment, in the step S202, the drawing information identification result corresponding to the principle drawing file is obtained, which specifically includes the following contents: acquiring a target drawing number corresponding to the principle drawing file; and acquiring a drawing information identification result corresponding to the target drawing number from the drawing information identification results corresponding to the plurality of preset drawing numbers as a drawing information identification result corresponding to the principle drawing file.
The target drawing number is a preset number corresponding to the principle drawing file; the preset drawing number refers to a number preset for distinguishing different drawings.
Specifically, the server side searches a target drawing number corresponding to a principle drawing file according to the principle drawing file; and inquiring a drawing information identification result corresponding to a plurality of preset drawing numbers in a database, and identifying and acquiring a drawing information identification result corresponding to the target drawing number from the drawing information identification result to be used as a drawing information identification result corresponding to the principle drawing file.
For example, the server searches for a target drawing number of 001 corresponding to the principle drawing file according to the principle drawing file; and inquiring the drawing information identification results corresponding to a plurality of preset drawing numbers in the database, and identifying and acquiring the drawing information identification result corresponding to the target drawing number 001 from the drawing information identification results as the drawing information identification result corresponding to the principle drawing file.
In the embodiment, a target drawing number corresponding to a principle drawing file is obtained, and a drawing information identification result corresponding to the target drawing number is obtained from drawing information identification results corresponding to a plurality of preset drawing numbers and is used as a drawing information identification result corresponding to the principle drawing file; therefore, the drawing information identification result corresponding to the principle drawing file can be accurately identified and obtained through the objective identification of the drawing number.
In one embodiment, before obtaining a drawing information identification result corresponding to a target drawing number from drawing information identification results corresponding to a plurality of preset drawing numbers as a drawing information identification result corresponding to a principle drawing file, the following is included: acquiring preset principle drawing files corresponding to a plurality of preset drawing numbers; preprocessing a preset principle drawing file corresponding to each preset drawing number to obtain each preprocessed preset principle drawing file; and performing information identification on each preprocessed preset principle drawing file to obtain a drawing information identification result corresponding to each preprocessed preset principle drawing file, and correspondingly using the drawing information identification result as the drawing information identification result corresponding to each preset drawing number.
The preset principle drawing file refers to a preset file containing loop terminal design drawing information.
The preprocessing comprises the operations of converting the format of the picture file, rotating the angle and the like.
Specifically, as shown in fig. 6, the server side obtains a plurality of preset principle drawing files corresponding to preset drawing numbers, selects the obtained preset principle drawing files, converts the preset principle drawing files into pictures in a PNG format, rotates the pictures counterclockwise by 90 °, and then obtains the preprocessed preset principle drawing files; performing information identification on each preprocessed preset principle drawing file to obtain a drawing information identification result corresponding to each preprocessed preset principle drawing file; and finally, storing the preprocessed preset principle drawing file and the corresponding drawing information identification result, and uniformly renaming the preset principle drawing file and the corresponding drawing information identification result as a drawing number.
In the embodiment, a preset principle drawing file corresponding to a plurality of preset drawing numbers is obtained; preprocessing a preset principle drawing file corresponding to each preset drawing number to obtain each preprocessed preset principle drawing file; performing information identification on each preprocessed preset principle drawing file to obtain a drawing information identification result corresponding to each preprocessed preset principle drawing file; the preprocessing of the preset principle drawing file is beneficial to improving the effect of subsequent information identification, so that the drawing information identification result corresponding to each preprocessed preset principle drawing file can be obtained more accurately.
In one embodiment, the information identification is performed on each preprocessed preset principle drawing file to obtain a drawing information identification result corresponding to each preprocessed preset principle drawing file, which specifically includes the following contents: acquiring a gray scale image corresponding to the preprocessed preset principle drawing file; inputting the gray level image into a pre-trained text detection model for text positioning to obtain a target table area in the gray level image; performing information identification on the target table area through a pre-trained text identification model to obtain a target table information identification result; and taking the target form information identification result as a drawing information identification result corresponding to the preprocessed preset principle drawing file.
The grayscale map is an image represented by grayscale, and many geophysical observation data are represented by grayscale in addition to a common satellite image and an aerial photograph.
The Text detection model is used for optimizing various Text detection algorithms (DB, EAST and SAST), and public data sets such as icdar2013, icdar2017, COCO-Text and ArT are additionally added in SAST model training for optimization.
The text recognition model is preferably used for various text recognition algorithms (CRNN, rosetta, STAR-Net, RARE and SRN) on the premise of priority accuracy.
Specifically, as shown in fig. 7, the client performs layout recognition on a preprocessed preset principle drawing file, and locates an area of interest where the form is located; converting a preset principle drawing file into a grey-scale image, adaptively identifying horizontal lines and vertical lines in the image through morphological operation in image processing, calculating focal coordinates of the horizontal lines and the vertical lines, removing similar pixel points through sorting, only taking the last point of a similar value, calibrating a table profile according to the horizontal lines, the vertical lines and the focal points, determining a table area, removing a table frame line on the basis of an original image, identifying table contents, and obtaining a target table information identification result; and taking the target form information identification result as a drawing information identification result corresponding to the preprocessed preset principle drawing file.
In the embodiment, the calculated amount of image processing can be reduced by acquiring the gray-scale image corresponding to the preprocessed preset principle drawing file, so that subsequent analysis and processing are facilitated; inputting the gray scale image into a pre-trained text detection model for text positioning to obtain a target table area in the gray scale image, thereby accurately obtaining the position information of the target table area; performing information identification on the target form area through a pre-trained text identification model to obtain a target form information identification result, and taking the target form information identification result as a drawing information identification result corresponding to a preprocessed preset principle drawing file; therefore, a drawing information recognition result corresponding to the preprocessed preset principle drawing file is accurately obtained based on the text detection model, the text recognition model and other artificial intelligent algorithm models.
In an embodiment, in step S102, the live image is input into a pre-trained information recognition model, and a terminal row information recognition result of the live image is obtained, where the result specifically includes the following contents: performing text positioning on the field shot image through a pre-trained information recognition model to obtain a target character area in the field shot image; and performing character recognition on the target character area through a pre-trained information recognition model to obtain a corresponding character recognition result which is used as a terminal row information recognition result of the live shooting image.
The information recognition model comprises a text detection model and a character recognition model, and has functions of text positioning and character recognition, and the character recognition model has an OCR (optical character recognition) function.
Specifically, the server side obtains a pre-trained information recognition model, and then inputs the field shooting image into a text detection model in the pre-trained information recognition model for text positioning to obtain a target character area in the field shooting image; and then carrying out character recognition on the target character area through a character recognition model in the pre-trained information recognition model to obtain a terminal row information recognition result of the field shot image.
For example, the server side inputs the field shooting image into a text detection model in a pre-trained information recognition model to perform text target positioning, so as to obtain a target character area in the field shooting image; and performing OCR recognition on the target character area through a character recognition model in the pre-trained information recognition model to obtain a terminal row information recognition result of the field shot image.
In the embodiment, the pre-trained information recognition model is used for carrying out text positioning on the field shot image to obtain a target character area in the field shot image; performing character recognition on the target character area through the pre-trained information recognition model to obtain a corresponding character recognition result, wherein the character recognition result is used as a terminal information recognition result of the field shot image; and carrying out text positioning on the live shooting image to obtain a target character area, and carrying out character recognition on the obtained target character area so as to accurately and effectively obtain a terminal strip information recognition result of the live shooting image.
In an embodiment, in step S103, comparing the terminal row information identification result with the drawing information identification result to obtain a comparison result of each terminal in the target circuit terminal row, where the comparison result specifically includes the following contents: comparing the information of each terminal information identification result in the terminal row information identification result with the information of each terminal information identification result in the drawing information identification result to obtain a comparison result of each terminal in the target circuit terminal row;
in the step S104, an identification result for the target circuit terminal block is generated according to the comparison result, which specifically includes the following contents: under the condition that the information comparison result of each terminal is a correct comparison result, confirming that the identification result aiming at the terminal row of the target circuit is successful in comparison; and confirming that the identification result of the target circuit terminal row is a comparison failure when the information comparison result of at least one terminal is an error comparison result.
Wherein, every terminal information identification result includes information such as return circuit number, cable core number, terminal row number and terminal number.
Specifically, the server side analyzes and compares each terminal information identification result in the terminal row information identification result with each terminal information identification result in the drawing information identification result to obtain comparison results of a plurality of terminals, and then summarizes the comparison results into the comparison result of each terminal in the target loop terminal row; the server side identifies all comparison results of each terminal in the target circuit terminal row, and confirms that the identification result aiming at the target circuit terminal row is successful in comparison under the condition that the information comparison result of each terminal is a correct comparison result; and confirming that the identification result of the target circuit terminal row is a comparison failure when the information comparison result of at least one terminal is an error comparison result.
In the embodiment, the information of each terminal information identification result in the terminal row information identification result is compared with the information of each terminal information identification result in the drawing information identification result, so that the comparison result of each terminal in the target circuit terminal row is effectively obtained; under the condition that the information comparison result of each terminal is a correct comparison result, confirming that the identification result aiming at the terminal row of the target circuit is successful in comparison; confirming that the identification result aiming at the target circuit terminal row is a comparison failure under the condition that the information comparison result of at least one terminal is an error comparison result; therefore, the identification result aiming at the target circuit terminal block is accurately obtained according to the comparison result.
In an embodiment, as shown in fig. 8, another method for identifying a loop terminal is provided, which is described by taking the application of the method to the server side in fig. 1 as an example, and specifically includes the following steps:
step S801 includes acquiring a target drawing number corresponding to a principle drawing file, acquiring preset principle drawing files corresponding to a plurality of preset drawing numbers, and preprocessing the preset principle drawing file corresponding to each preset drawing number to obtain each preprocessed preset principle drawing file.
Step S802, acquiring a gray scale image corresponding to the preprocessed preset principle drawing file; and inputting the gray-scale image into a pre-trained text detection model for text positioning to obtain a target table area in the gray-scale image.
Step S803, carrying out information recognition on the target table area through a pre-trained text recognition model to obtain a target table information recognition result; and taking the target form information identification result as a drawing information identification result corresponding to the preprocessed preset principle drawing file.
Step S804, a field shot image for the target circuit terminal block and a principle drawing file corresponding to the target circuit terminal block are acquired.
Step S805, performing text positioning on the field shot image through a pre-trained information recognition model to obtain a target character area in the field shot image; and performing character recognition on the target character area through a pre-trained information recognition model to obtain a corresponding character recognition result which is used as a terminal row information recognition result of the field shot image.
Step S806, obtaining a drawing information identification result corresponding to the target drawing number from the drawing information identification results corresponding to the plurality of preset drawing numbers, as a drawing information identification result corresponding to the principle drawing file.
Step S807, comparing information of each terminal information identification result in the terminal row information identification result with information of each terminal information identification result in the drawing information identification result to obtain a comparison result of each terminal in the target loop terminal row; each terminal information identification result at least comprises a loop number, a cable core number, a terminal row number and a terminal number.
Step S808, confirming that the identification result aiming at the target loop terminal row is successfully compared under the condition that the information comparison result of each terminal is a correct comparison result; and confirming that the identification result of the target circuit terminal row is a comparison failure when the information comparison result of at least one terminal is an error comparison result.
In the identification method of the loop terminal, a field shot image aiming at a target loop terminal row is obtained first, and a principle drawing file corresponding to the target loop terminal can be accurately identified and obtained; the pre-trained information recognition model is used for carrying out text positioning on the field shooting image to obtain a target character area in the field shooting image, character recognition is carried out on the target character area through the pre-trained information recognition model to obtain a terminal strip information recognition result of the field shooting image, so that the terminal strip information of the field shooting image is recognized through the pre-trained information recognition model, and the terminal strip information recognition result of the field shooting image can be accurately obtained; after a principle drawing file corresponding to a target loop terminal is obtained, operations such as preprocessing, text positioning, information identification and the like are performed on the principle drawing file, and a drawing information identification result corresponding to the principle drawing file can be obtained in a targeted manner; then, comparing the terminal row information identification result with the drawing information identification result to obtain a comparison result of each terminal in the target circuit terminal row, and effectively utilizing related known information to carry out one-by-one comparison so as to accurately obtain the comparison result of each terminal in the target circuit terminal row; finally, according to the comparison result, generating an identification result aiming at the target circuit terminal row, wherein the identification result comprises successful comparison and failed comparison; adopt the difference and sameness between scene shooting image of artificial intelligence mode contrast and the principle drawing file promptly, be favorable to accurately deriving the identification result fast, and whole process need not artifical manual detection to loaded down with trivial details processes such as having avoided carrying out information investigation through artifical manual, and then improved the detection efficiency of return circuit terminal. .
In order to clarify the identification method of the loop terminal provided in the embodiments of the present application more clearly, the following describes the identification method of the loop terminal in a specific embodiment. In an embodiment, as shown in fig. 9, the present application further provides a method for identifying a loop terminal, which specifically includes the following steps:
and step S901, the server receives the information such as the on-site real shot pictures and the drawing numbers returned by the client.
And S902, performing OCR recognition on the live real shot picture to obtain a live picture recognition result.
And step S903, comparing the identification result of the field picture with the identification result of the drawing corresponding to the drawing number.
And step S904, counting error information and sending the error information to the client, wherein if all the error information is correct, the sending comparison is successful.
In the identification method of the circuit terminal, the content to be identified in the design drawing includes: drawing number, cable serial number, terminal row serial number, terminal serial number, cable core number, return circuit number. The contents to be identified by the field number management comprise: cable number, terminal row number, terminal number, cable core number, loop number. The specific recognition idea is as follows: firstly, identifying the design drawing content, and forming a database according to the form of keywords. Then specific number pipe is shot on the scene, through cable serial number and cable core number on the number pipe which root core of which cable is discerned, through terminal row number, terminal number and return circuit number discernment wiring whether correct.
Further, the output results and the identification requirements are: the comparison result is output in a form of a table, the comparison result is divided into an upper line and a lower line of output drawing numbers, cable numbers, terminal row numbers, terminal numbers, cable core numbers and loop number identification conditions, the identification result comparison is carried out through a system program, correct and wrong wiring conditions are distinguished by different ground colors, and correct and wrong identification numbers can be counted. The identification program needs to have a batch identification function, and the wiring condition of the whole terminal strip can be identified by only taking one picture of one terminal strip as far as possible.
In the identification method of the loop terminal, information such as a field real shot picture, a drawing number and the like returned by a client is received, and a principle drawing file corresponding to a target loop terminal can be accurately identified and obtained; performing OCR recognition on the on-site real shot picture, and accurately obtaining an OCR recognition result of the terminal row information of the on-site real shot picture; then, comparing the on-site picture recognition result with the drawing recognition result to obtain a comparison result of each terminal in the target circuit terminal row, and effectively utilizing related known information to compare one by one so as to accurately obtain the comparison result of each terminal in the target circuit terminal row; finally, the statistical error information is sent to the client, and if all the statistical error information is correct, the statistical error information is sent and compared successfully; adopt the mode of artificial intelligence to compare the difference and sameness between scene shooting image and the principle drawing file promptly, be favorable to accurately deriving the identification result fast, and whole process need not artifical manual detection to avoid carrying out loaded down with trivial details processes such as information investigation through artifical manual, and then improved the detection efficiency of return circuit terminal.
It should be understood that, although the steps in the flowcharts related to the embodiments as described above are sequentially displayed as indicated by arrows, the steps are not necessarily performed sequentially as indicated by the arrows. The steps are not limited to being performed in the exact order illustrated and, unless explicitly stated herein, may be performed in other orders. Moreover, at least a part of the steps in the flowcharts related to the embodiments described above may include multiple steps or multiple stages, which are not necessarily performed at the same time, but may be performed at different times, and the execution order of the steps or stages is not necessarily sequential, but may be rotated or alternated with other steps or at least a part of the steps or stages in other steps.
Based on the same inventive concept, the embodiment of the present application further provides a loop terminal identification device for implementing the loop terminal identification method. The solution of the problem provided by the device is similar to the solution described in the above method, so the specific limitations in the embodiment of the device for identifying one or more loop terminals provided below can be referred to the limitations of the method for identifying the loop terminal in the above description, and are not described herein again.
In one embodiment, as shown in fig. 10, there is provided an identification device of a loop terminal, including: an information acquisition module 1001, an information identification module 1002, an information comparison module 1003 and a result generation module 1004, wherein:
an information acquisition module 1001 configured to acquire a live shot image of a target circuit terminal block and a schematic drawing file corresponding to the target circuit terminal block.
The information recognition module 1002 is configured to input the field captured image into a pre-trained information recognition model, obtain a terminal strip information recognition result of the field captured image, and obtain a drawing information recognition result corresponding to the principle drawing file.
And the information comparison module 1003 is configured to compare the terminal block information identification result with the drawing information identification result to obtain a comparison result of each terminal in the target circuit terminal block.
And a result generating module 1004 for generating a recognition result for the target circuit terminal strip according to the comparison result.
In one embodiment, the information identification module 1002 is further configured to obtain a target drawing number corresponding to the principle drawing file; and acquiring a drawing information identification result corresponding to the target drawing number from the drawing information identification results corresponding to the plurality of preset drawing numbers as a drawing information identification result corresponding to the principle drawing file.
In one embodiment, the identification device of the loop terminal further comprises a preprocessing module, which is used for acquiring preset principle drawing files corresponding to a plurality of preset drawing numbers; preprocessing a preset principle drawing file corresponding to each preset drawing number to obtain each preprocessed preset principle drawing file; and performing information identification on each preprocessed preset principle drawing file to obtain a drawing information identification result corresponding to each preprocessed preset principle drawing file, and correspondingly using the drawing information identification result as a drawing information identification result corresponding to each preset drawing number.
In one embodiment, the preprocessing module is further configured to obtain a grayscale map corresponding to the preprocessed preset principle drawing file; inputting the gray level image into a pre-trained text detection model for text positioning to obtain a target table area in the gray level image; performing information identification on the target table area through a pre-trained text identification model to obtain a target table information identification result; and taking the target form information identification result as a drawing information identification result corresponding to the preprocessed preset principle drawing file.
In one embodiment, the information recognition module 1002 is further configured to perform text positioning on the live image through a pre-trained information recognition model to obtain a target text region in the live image; and performing character recognition on the target character area through a pre-trained information recognition model to obtain a corresponding character recognition result which is used as a terminal information recognition result of the live shooting image.
In one embodiment, the information comparing module 1003 is further configured to compare each terminal information identification result in the terminal row information identification result with each terminal information identification result in the drawing information identification result to obtain a comparison result of each terminal in the target circuit terminal row; each terminal information identification result at least comprises a loop number, a cable core number, a terminal row number and a terminal number.
The result generating module 1004 is further configured to, in a case that the information comparison result of each terminal is a correct comparison result, confirm that the identification result for the target circuit terminal row is a successful comparison; and confirming that the identification result of the target circuit terminal row is a comparison failure when the information comparison result of at least one terminal is an error comparison result.
The modules in the circuit terminal identification device may be implemented in whole or in part by software, hardware, or a combination thereof. The modules can be embedded in a hardware form or independent from a processor in the computer device, and can also be stored in a memory in the computer device in a software form, so that the processor can call and execute operations corresponding to the modules.
In one embodiment, a computer device is provided, which may be a server, and its internal structure diagram may be as shown in fig. 11. The computer device includes a processor, a memory, an Input/Output interface (I/O for short), and a communication interface. The processor, the memory and the input/output interface are connected through a system bus, and the communication interface is connected to the system bus through the input/output interface. Wherein the processor of the computer device is configured to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, a computer program, and a database. The internal memory provides an environment for the operating system and the computer program to run on the non-volatile storage medium. The database of the computer equipment is used for storing data such as drawing numbers, principle drawing files, drawing information identification results and the like. The input/output interface of the computer device is used for exchanging information between the processor and an external device. The communication interface of the computer device is used for connecting and communicating with an external terminal through a network. The computer program is executed by a processor to implement a loop terminal identification method.
Those skilled in the art will appreciate that the architecture shown in fig. 11 is merely a block diagram of some of the structures associated with the disclosed aspects and is not intended to limit the computing devices to which the disclosed aspects apply, as particular computing devices may include more or less components than those shown, or may combine certain components, or have a different arrangement of components.
In one embodiment, a computer device is provided, comprising a memory and a processor, the memory having a computer program stored therein, the processor implementing the following steps when executing the computer program:
acquiring a field shooting image aiming at a target loop terminal strip and a principle drawing file corresponding to the target loop terminal strip;
inputting the field shot image into a pre-trained information recognition model to obtain a terminal row information recognition result of the field shot image and a drawing information recognition result corresponding to a principle drawing file;
comparing the terminal row information identification result with the drawing information identification result to obtain a comparison result of each terminal in the target circuit terminal row;
and generating a recognition result aiming at the target circuit terminal block according to the comparison result.
In one embodiment, the processor when executing the computer program further performs the steps of: acquiring a target drawing number corresponding to the principle drawing file; and acquiring a drawing information identification result corresponding to the target drawing number from the drawing information identification results corresponding to the plurality of preset drawing numbers as a drawing information identification result corresponding to the principle drawing file.
In one embodiment, the processor, when executing the computer program, further performs the steps of: acquiring preset principle drawing files corresponding to a plurality of preset drawing numbers; preprocessing a preset principle drawing file corresponding to each preset drawing number to obtain each preprocessed preset principle drawing file; and performing information identification on each preprocessed preset principle drawing file to obtain a drawing information identification result corresponding to each preprocessed preset principle drawing file, and correspondingly using the drawing information identification result as the drawing information identification result corresponding to each preset drawing number.
In one embodiment, the processor, when executing the computer program, further performs the steps of: acquiring a gray scale image corresponding to the preprocessed preset principle drawing file; inputting the gray level image into a pre-trained text detection model for text positioning to obtain a target table area in the gray level image; performing information recognition on the target table area through a pre-trained text recognition model to obtain a target table information recognition result; and taking the target form information identification result as a drawing information identification result corresponding to the preprocessed preset principle drawing file.
In one embodiment, the processor, when executing the computer program, further performs the steps of: performing text positioning on the field shot image through a pre-trained information recognition model to obtain a target character area in the field shot image; and performing character recognition on the target character area through a pre-trained information recognition model to obtain a corresponding character recognition result which is used as a terminal information recognition result of the field shot image.
In one embodiment, the processor when executing the computer program further performs the steps of: comparing each terminal information identification result in the terminal row information identification result with each terminal information identification result in the drawing information identification result to obtain a comparison result of each terminal in the target loop terminal row; each terminal information identification result at least comprises a loop number, a cable core number, a terminal row number and a terminal number; under the condition that the information comparison result of each terminal is a correct comparison result, confirming that the identification result aiming at the terminal row of the target circuit is successful in comparison; and confirming that the identification result of the target circuit terminal row is a comparison failure when the information comparison result of at least one terminal is an error comparison result.
In an embodiment, a computer-readable storage medium is provided, on which a computer program is stored which, when being executed by a processor, carries out the steps of the above-mentioned method embodiments.
In an embodiment, a computer program product is provided, comprising a computer program which, when executed by a processor, carries out the steps in the method embodiments described above.
It should be noted that, the user information (including but not limited to user equipment information, user personal information, etc.) and data (including but not limited to data for analysis, stored data, displayed data, etc.) referred to in the present application are information and data authorized by the user or sufficiently authorized by each party, and the collection, use and processing of the related data need to comply with the relevant laws and regulations and standards of the relevant country and region.
It will be understood by those skilled in the art that all or part of the processes of the methods of the embodiments described above can be implemented by hardware instructions of a computer program, which can be stored in a non-volatile computer-readable storage medium, and when executed, can include the processes of the embodiments of the methods described above. Any reference to memory, database, or other medium used in the embodiments provided herein may include at least one of non-volatile and volatile memory. The nonvolatile Memory may include Read-Only Memory (ROM), magnetic tape, floppy disk, flash Memory, optical Memory, high-density embedded nonvolatile Memory, resistive Random Access Memory (ReRAM), magnetic Random Access Memory (MRAM), ferroelectric Random Access Memory (FRAM), phase Change Memory (PCM), graphene Memory, and the like. Volatile Memory can include Random Access Memory (RAM), external cache Memory, and the like. By way of illustration and not limitation, RAM can take many forms, such as Static Random Access Memory (SRAM) or Dynamic Random Access Memory (DRAM), among others. The databases referred to in various embodiments provided herein may include at least one of relational and non-relational databases. The non-relational database may include, but is not limited to, a block chain based distributed database, and the like. The processors referred to in the embodiments provided herein may be general purpose processors, central processing units, graphics processors, digital signal processors, programmable logic devices, quantum computing based data processing logic devices, etc., without limitation.
All possible combinations of the technical features in the above embodiments may not be described for the sake of brevity, but should be considered as being within the scope of the present disclosure as long as there is no contradiction between the combinations of the technical features.
The above-mentioned embodiments only express several embodiments of the present application, and the description thereof is more specific and detailed, but not construed as limiting the scope of the present application. It should be noted that, for a person skilled in the art, several variations and modifications can be made without departing from the concept of the present application, which falls within the scope of protection of the present application. Therefore, the protection scope of the present application shall be subject to the appended claims.
Claims (10)
1. A method of identifying a loop terminal, the method comprising:
acquiring a field shooting image aiming at a target loop terminal strip and a principle drawing file corresponding to the target loop terminal strip;
inputting the field shot image into a pre-trained information recognition model to obtain a terminal row information recognition result of the field shot image and a drawing information recognition result corresponding to the principle drawing file;
comparing the terminal row information identification result with the drawing information identification result to obtain a comparison result of each terminal in the target circuit terminal row;
and generating an identification result aiming at the target loop terminal strip according to the comparison result.
2. The method of claim 1, wherein obtaining the drawing information identification corresponding to the schematic drawing file comprises:
acquiring a target drawing number corresponding to the principle drawing file;
and acquiring a drawing information identification result corresponding to the target drawing number from drawing information identification results corresponding to a plurality of preset drawing numbers, and taking the drawing information identification result corresponding to the principle drawing file as the drawing information identification result.
3. The method of claim 2, wherein before obtaining the drawing information identification result corresponding to the target drawing number from the drawing information identification results corresponding to a plurality of preset drawing numbers as the drawing information identification result corresponding to the principle drawing file, further comprising:
acquiring preset principle drawing files corresponding to a plurality of preset drawing numbers;
preprocessing a preset principle drawing file corresponding to each preset drawing number to obtain each preprocessed preset principle drawing file;
and performing information identification on each preprocessed preset principle drawing file to obtain a drawing information identification result corresponding to each preprocessed preset principle drawing file, and taking the drawing information identification result corresponding to each preprocessed preset drawing number as the drawing information identification result corresponding to each preset drawing number.
4. The method according to claim 3, wherein the performing information identification on each preprocessed preset principle drawing file to obtain a drawing information identification result corresponding to each preprocessed preset principle drawing file comprises:
acquiring a gray scale map corresponding to the preprocessed preset principle drawing file;
inputting the gray-scale image into a pre-trained text detection model for text positioning to obtain a target table area in the gray-scale image;
performing information recognition on the target table area through a pre-trained text recognition model to obtain a target table information recognition result;
and taking the target form information identification result as a drawing information identification result corresponding to the preprocessed preset principle drawing file.
5. The method of claim 1, wherein the inputting the live photographic image into a pre-trained information recognition model to obtain a terminal block information recognition result of the live photographic image comprises:
performing text positioning on the field shot image through the pre-trained information recognition model to obtain a target character area in the field shot image;
and performing character recognition on the target character area through the pre-trained information recognition model to obtain a corresponding character recognition result, wherein the character recognition result is used as a terminal information recognition result of the field shot image.
6. The method of claim 1, wherein comparing the terminal block information identification result with the drawing information identification result to obtain a comparison result of each terminal in the terminal block of the target circuit comprises:
comparing information of each terminal information identification result in the terminal row information identification result with information of each terminal information identification result in the drawing information identification result to obtain a comparison result of each terminal in the target circuit terminal row; each terminal information identification result at least comprises a loop number, a cable core number, a terminal row number and a terminal number;
the generating of the identification result aiming at the target loop terminal strip according to the comparison result comprises the following steps:
confirming that the identification result aiming at the target circuit terminal row is successfully compared under the condition that the information comparison result of each terminal is a correct comparison result;
and confirming that the identification result of the target circuit terminal row is a comparison failure when the information comparison result of at least one terminal is an error comparison result.
7. An apparatus for identifying a loop terminal, the apparatus comprising:
the information acquisition module is used for acquiring a field shooting image aiming at a target circuit terminal strip and a principle drawing file corresponding to the target circuit terminal strip;
the information identification module is used for inputting the field shot image into a pre-trained information identification model, obtaining a terminal row information identification result of the field shot image and obtaining a drawing information identification result corresponding to the principle drawing file;
the information comparison module is used for comparing the terminal row information identification result with the drawing information identification result to obtain a comparison result of each terminal in the target circuit terminal row;
and the result generation module is used for generating an identification result aiming at the target circuit terminal strip according to the comparison result.
8. A computer device comprising a memory and a processor, the memory storing a computer program, characterized in that the processor, when executing the computer program, implements the steps of the method of any of claims 1 to 6.
9. A computer-readable storage medium, on which a computer program is stored which, when being executed by a processor, carries out the steps of the method according to any one of claims 1 to 6.
10. A computer program product comprising a computer program, characterized in that the computer program realizes the steps of the method of any one of claims 1 to 6 when executed by a processor.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202211541542.0A CN115797291B (en) | 2022-12-01 | 2022-12-01 | Loop terminal identification method, loop terminal identification device, computer equipment and storage medium |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202211541542.0A CN115797291B (en) | 2022-12-01 | 2022-12-01 | Loop terminal identification method, loop terminal identification device, computer equipment and storage medium |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN115797291A true CN115797291A (en) | 2023-03-14 |
| CN115797291B CN115797291B (en) | 2024-07-23 |
Family
ID=85445161
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202211541542.0A Active CN115797291B (en) | 2022-12-01 | 2022-12-01 | Loop terminal identification method, loop terminal identification device, computer equipment and storage medium |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN115797291B (en) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116188962A (en) * | 2023-04-27 | 2023-05-30 | 南方电网数字电网研究院有限公司 | Error identification method and device for electric energy metering device and computer equipment |
Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108320287A (en) * | 2018-03-12 | 2018-07-24 | 国网江苏省电力公司电力科学研究院 | A kind of transformer station secondary system equipment screen cabinet wiring automatic inspection system and method |
| CN109446689A (en) * | 2018-11-07 | 2019-03-08 | 国网江苏省电力有限公司电力科学研究院 | DC converter station electrical secondary system drawing recognition methods and system |
| CN111563509A (en) * | 2020-04-30 | 2020-08-21 | 贵州电网有限责任公司 | Tesseract-based substation terminal row identification method and system |
| CN112633343A (en) * | 2020-12-16 | 2021-04-09 | 国网江苏省电力有限公司检修分公司 | Power equipment terminal strip wiring checking method and device |
| CN113255499A (en) * | 2021-05-18 | 2021-08-13 | 中国能源建设集团安徽省电力设计院有限公司 | Digital automatic modeling method for secondary circuit of transformer substation cable |
| CN113837169A (en) * | 2021-09-29 | 2021-12-24 | 平安科技（深圳）有限公司 | Text data processing method and device, computer equipment and storage medium |
| CN114155471A (en) * | 2021-12-08 | 2022-03-08 | 中国南方电网有限责任公司超高压输电公司广州局 | Design drawing and object verification method, device, computer equipment and system |
-
2022
- 2022-12-01 CN CN202211541542.0A patent/CN115797291B/en active Active
Patent Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108320287A (en) * | 2018-03-12 | 2018-07-24 | 国网江苏省电力公司电力科学研究院 | A kind of transformer station secondary system equipment screen cabinet wiring automatic inspection system and method |
| CN109446689A (en) * | 2018-11-07 | 2019-03-08 | 国网江苏省电力有限公司电力科学研究院 | DC converter station electrical secondary system drawing recognition methods and system |
| CN111563509A (en) * | 2020-04-30 | 2020-08-21 | 贵州电网有限责任公司 | Tesseract-based substation terminal row identification method and system |
| CN112633343A (en) * | 2020-12-16 | 2021-04-09 | 国网江苏省电力有限公司检修分公司 | Power equipment terminal strip wiring checking method and device |
| CN113255499A (en) * | 2021-05-18 | 2021-08-13 | 中国能源建设集团安徽省电力设计院有限公司 | Digital automatic modeling method for secondary circuit of transformer substation cable |
| CN113837169A (en) * | 2021-09-29 | 2021-12-24 | 平安科技（深圳）有限公司 | Text data processing method and device, computer equipment and storage medium |
| CN114155471A (en) * | 2021-12-08 | 2022-03-08 | 中国南方电网有限责任公司超高压输电公司广州局 | Design drawing and object verification method, device, computer equipment and system |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116188962A (en) * | 2023-04-27 | 2023-05-30 | 南方电网数字电网研究院有限公司 | Error identification method and device for electric energy metering device and computer equipment |
| CN116188962B (en) * | 2023-04-27 | 2023-09-19 | 南方电网数字电网研究院有限公司 | Error identification method and device for electric energy metering device and computer equipment |
Also Published As
| Publication number | Publication date |
|---|---|
| CN115797291B (en) | 2024-07-23 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN110569721B (en) | Recognition model training method, image recognition method, device, equipment and medium | |
| CN108304882B (en) | Image classification method and device, server, user terminal and storage medium | |
| CN111680551B (en) | Method, device, computer equipment and storage medium for monitoring livestock quantity | |
| CN109960742B (en) | Local information searching method and device | |
| US11714921B2 (en) | Image processing method with ash code on local feature vectors, image processing device and storage medium | |
| CN108564102A (en) | Image clustering evaluation of result method and apparatus | |
| CN111027576B (en) | Cooperative significance detection method based on cooperative significance generation type countermeasure network | |
| CN114120299B (en) | Information acquisition method, device, storage medium and equipment | |
| CN115526892B (en) | Image defect duplicate removal detection method and device based on three-dimensional reconstruction | |
| CN110807472B (en) | Image recognition method and device, electronic equipment and storage medium | |
| CN114049568B (en) | Target object deformation detection method, device, equipment and medium based on image comparison | |
| CN112819073B (en) | Classification network training, image classification method and device and electronic equipment | |
| CN109325539B (en) | Insulator string drop detection method and device | |
| CN114550051A (en) | Vehicle loss detection method and device, computer equipment and storage medium | |
| CN112232971A (en) | Anti-fraud detection method, anti-fraud detection device, computer equipment and storage medium | |
| CN112580668A (en) | Background fraud detection method and device and electronic equipment | |
| CN111179270A (en) | Image co-segmentation method and device based on attention mechanism | |
| JP2022185143A (en) | Text detection method, and text recognition method and device | |
| CN115797291B (en) | Loop terminal identification method, loop terminal identification device, computer equipment and storage medium | |
| CN110135428B (en) | Image segmentation processing method and device | |
| CN111222558A (en) | Image processing method and storage medium | |
| CN113157956B (en) | Picture searching method, system, mobile terminal and storage medium | |
| CN114677611B (en) | Data identification method, storage medium and device | |
| CN113704276A (en) | Map updating method and device, electronic equipment and computer readable storage medium | |
| CN117095275A (en) | Asset inventory method, system, device and storage medium for data center |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |