CN112418813A - AEO qualification intelligent rating management system and method based on intelligent analysis and identification and storage medium - Google Patents
AEO qualification intelligent rating management system and method based on intelligent analysis and identification and storage medium Download PDFInfo
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Abstract
The application relates to the technical field of management methods, and discloses an AEO qualification intelligent rating management system, method and storage medium based on intelligent analysis and identification, wherein the method comprises the following steps: presetting reminding deadline information of each file to be audited based on the AEO audit requirement; inputting a file to be checked and submitting time information; acquiring the sending time of the time reminding information and feeding back the time reminding information; analyzing the type and format of the file to be audited; correcting the image imaging problem of the file to be examined; judging the submission information of the audit file; detecting the position, the range and the layout of a text in a file to be checked; identifying text content on the basis of text detection; text extraction, namely extracting required fields and/or elements from a text recognition result; and calling the text to extract the information. The system helps enterprises to carry out integrated record management on all AEO information, meets the evaluation requirements of customs on AEO qualification, and forms records by combining character recognition and extraction of files to be examined, thereby being convenient for multiplexing.
Description
Technical Field
The application relates to the technical field of management methods, in particular to an AEO qualification intelligent rating management system and method based on intelligent analysis and recognition and a storage medium.
Background
AEO is a World Customs Organization (WCO) that sets forth a set of standards that protect and facilitate increasing international business, international trade. At present, customs service enterprises generally arrange materials in a manual mode, so that the workload is large, and the error rate is high.
Disclosure of Invention
In order to reduce the manual workload and improve the matching degree with the evaluation requirement of the AEO qualification, the application provides an intelligent grading management system, method and storage medium of the AEO qualification based on intelligent analysis and identification.
In a first aspect, the present application provides an AEO qualification intelligent rating management system based on intelligent parsing and recognition, including:
presetting reminding deadline information of each file to be audited based on the AEO audit requirement;
inputting a file to be checked, wherein the check file comprises a picture class and a non-picture class, and the non-picture class is converted into a picture format and is stored together with the picture class file;
acquiring the submission time information of a file to be audited;
acquiring the sending time of the time reminding information according to the submission time information and the reminding deadline information and feeding back the time reminding information;
analyzing the file, and analyzing the type and format of the file to be examined;
image preprocessing, namely correcting the image imaging problem of the file to be examined;
judging the submission information of the audit file;
if the file submission information is not checked, feeding back the time reminding information;
if the submission information of the audit file is yes, the following steps are carried out:
detecting characters, namely detecting the position, the range and the layout of a text in a file to be examined;
character recognition, namely recognizing the text content on the basis of text detection;
text extraction, namely extracting required fields and/or elements from a text recognition result;
and calling the text to extract the information.
By adopting the technical scheme, the method comprises the steps of firstly obtaining the submission time information of the files to be audited, obtaining the submission time of each audition file, reducing the influence caused by delayed submission deadline of the audition files due to the fact that the submission time is not timely, presetting the reminding deadline information, obtaining the time reminding information according to the reminding deadline information, wherein the reminding deadline information specifically refers to a certain time period away from the submission time, obtaining the time reminding information according to the reminding deadline information, judging the submission information of the audition files when the time length away from the submission time is less than or equal to the reminding deadline, judging whether the audition files are uploaded before the submission information, feeding back the time reminding information if the submission information is not uploaded, informing a worker of the audition files to be submitted, reducing subsequent work caused by untimely submission of the audition files, and improving the work efficiency, meanwhile, the system also helps logistics enterprises to carry out integrated record management of all information, meets the evaluation requirements of customs on AEO qualification, and can record, inquire, trace, early warn and analyze; in addition, by combining character recognition and extraction of the file to be audited, various information in the file to be audited can be rapidly converted into electronic data for storage management and application, and reuse is facilitated.
In some embodiments, the image pre-processing comprises:
inputting an image of a file to be checked into a pre-trained image correction network for geometric change and/or distortion correction to obtain a corrected first target image;
performing small-angle correction on the first target image through a CV algorithm and an affine transformation matrix to obtain a second target image;
removing the blur of the second target image through a denoising algorithm to obtain a third target image;
and carrying out binarization processing on the third target image to obtain a binarized image.
In some embodiments, the method for obtaining audit file submission information includes:
if the user uploads the audit file before the sending time of the time reminding information, the submission information of the audit file is yes;
and if the user does not upload the audit file before the sending time of the time reminding information, judging whether the file submitting information is negative.
In some embodiments, the method for obtaining the sending time of the time reminding information according to the submission time information and the reminding time limit information comprises the following steps:
and analyzing the submission time information and the reminding time limit information, and subtracting the time corresponding to the submission time information and the time corresponding to the reminding time limit information to obtain the sending time of the time reminding information.
In some embodiments, the method for feeding back the time reminding information comprises:
presetting a plurality of identity identification information and a plurality of account space information corresponding to the identity identification information;
acquiring identity identification information to be reminded according to the identity identification information;
and feeding back the time reminding information to account space information corresponding to the identification information to be reminded.
In some embodiments, the method further comprises, after the step of,
receiving a file to be checked and storing the check file;
obtaining internal audit condition information according to the audit file;
feeding back internal audit condition information and acquiring internal audit opinion information;
obtaining internal audit result information according to the internal audit opinion information;
when the internal audit result information does not pass, feeding back the internal audit opinion information, and receiving the file to be audited again;
and counting the internal audit passing rate and feeding back.
In some embodiments, the manner of feeding back the internal audit opinion information according to the internal audit result information includes:
defining the identity identification information corresponding to the account space information of the uploaded audit file as identity identification information to be audited;
and if the internal audit result information is not passed, returning the audit file to the account space information corresponding to the to-be-audited identity identification information corresponding to the audit file, and feeding back the internal audit opinion information to the account space information corresponding to the to-be-audited identity identification information corresponding to the audit file.
In some embodiments, the text recognition comprises: performing character recognition on text contents in the rectangular text box through a pre-trained character recognition network to acquire text content information;
the text extraction comprises:
generating a basic semantic analysis engine based on a preset semantic database, wherein the semantic database comprises a field basic corpus, a field dictionary and a field knowledge map;
performing field analysis processing on the text content information based on a basic semantic analysis engine;
extracting required fields and/or elements in text content from a data set based on extraction requirements, wherein the extraction requirements comprise: sequence labeling extraction, deep learning extraction and table extraction.
In a second aspect, the present application provides an AEO qualification intelligent rating management system based on intelligent parsing identification, including,
the reminding information unit is used for acquiring the submission time information of the audit file and reminding the user according to the actual situation;
the receiving unit is used for receiving the audit file;
the file analysis unit is used for analyzing the type and the format of the file to be examined;
the image preprocessing unit is used for correcting the image imaging problem of the analyzed file to be examined;
the processing unit is used for processing the audit file and feeding back and uploading various information;
the character recognition unit is used for recognizing the text content on the basis of text detection;
the text extraction unit extracts required fields and/or elements from the text recognition result; and the number of the first and second groups,
a memory and a processor, the memory having stored thereon a computer program that can be loaded by the processor and that executes the above-described AEO qualification intelligent rating management method based on intelligent analytics recognition.
In a third aspect, the present application provides a computer readable storage medium storing a computer program that can be loaded by a processor and execute the AEO qualification intelligent rating management method based on intelligent parsing identification as described above.
In summary, the system, method and storage medium for managing AEO qualification intelligent rating based on intelligent parsing and recognition provided by the present application include at least one of the following beneficial technical effects:
1. the system helps logistics enterprises to carry out integrated record management on all AEO information, meets the evaluation requirements of customs on AEO qualification, and can record, inquire, trace, early warn and analyze;
2. by combining the character recognition and extraction of the file to be audited and the character recognition and extraction of the file to be audited, various information in the file to be audited can be rapidly converted into electronic data for storage management and application, and the original pure manual entry mode is converted into an entry mode which takes the character recognition input as a main mode and takes the manual entry as an auxiliary mode, so that the workload of operators is greatly reduced, the input quantity of system operators is also reduced for enterprises, and besides, the inevitable manual errors in the manual entry can be reduced, and the possibility of data errors is reduced;
3. by combining character recognition and extraction of the file to be checked and data updating operation caused by information change, the complicated work of character recognition can be weakened well, and the timeliness of updating is enhanced;
4. by combining the character recognition and extraction of the file to be audited, the material template can be automatically recorded to form records, and the reuse is convenient.
Drawings
Fig. 1 is a block diagram of an AEO qualification intelligent rating management system based on intelligent parsing and recognition provided in the present application.
In the figure, 1, a reminding information unit; 2. a receiving unit; 3. a file parsing unit; 4. an image preprocessing unit; 5. a processing unit; 6. a character recognition unit; 7. a text extraction unit; 8. a memory; 9. a processor.
Detailed Description
The present application is described in further detail below with reference to the attached drawings.
The embodiment of the application provides an AEO qualification intelligent rating management system and method based on intelligent analysis and identification and a storage medium.
The AEO qualification intelligent rating management method based on intelligent analysis and recognition comprises the following steps:
presetting reminding time limit information: and presetting reminding time limit information of each file to be checked based on the AEO review requirement, and storing.
Presetting reminding time limit information: the information content of the reminding deadline information comprises a certain time period from the expiration date of the submission of the audit file, the time period can be preset and changed by a system administrator, and the time period is used for internal audit and modification of the audit file in the follow-up process so as to improve the passing rate of the AEO audit file.
Inputting a file: inputting a submitted audit file, wherein the submitted audit file comprises a photo class and a non-photo class, the non-photo class comprises a photocopy and a PDF file, meanwhile, the non-photo class is converted into a picture format and is stored together with the photo class file, the input submitted audit file is stored in a file library at the same time, and model training is carried out based on manual marking so as to obtain an image correction network, a feature extraction network, a character recognition network and a deep learning extraction data set.
Acquiring the submission time information of the file to be audited: the information content of the submission time information is the expiration date of the submission auditing file specified by AEO, if the information content is later than the expiration date, the application is automatically invalidated and cannot be audited, the submission time information is automatically acquired from an official system in a data sharing mode or other modes when acquired, and the acquired submission time information is stored in a memory where the system is located so as to be convenient for subsequent use.
Acquiring the sending time of the time reminding information according to the submission time information and the reminding deadline information, feeding back the time reminding information,
the method for acquiring the sending time of the time reminding information according to the submission time information and the reminding deadline information comprises the following steps:
and analyzing the submission time information and the reminding time limit information, and subtracting the time corresponding to the submission time information and the time corresponding to the reminding time limit information to obtain the sending time of the time reminding information.
The method for feeding back the time reminding information comprises the following steps:
presetting a plurality of identity identification information and a plurality of account space information corresponding to the identity identification information;
when a system is constructed, a plurality of pieces of identity identification information are preset, so that a plurality of users can conveniently log in the system to upload and process audit files, and the files and information corresponding to the identity identification information are stored in a plurality of pieces of account space information, so that the system can conveniently identify the identity identification information;
acquiring identity identification information to be reminded according to the identity identification information;
the method comprises the steps that an audit file to be uploaded corresponds to each specific identification information, and the corresponding identification information of the audit file which is not uploaded before a time reminding message is sent is defined as identification information to be reminded;
feeding back the time reminding information to account space information corresponding to the identification information to be reminded;
the content of the time reminding information is used for reminding a user to upload pictures, characters or other reminding contents of the audit file in time, and the time reminding information is transmitted to account space information corresponding to the identification information to be reminded, so that the user can conveniently check the time reminding information at any time, and the user can conveniently receive a notice at the first time after the user is online.
Receiving the audit file, generating an internal audit passing rate according to the received audit file, and feeding back the internal audit passing rate, wherein the method specifically comprises the following steps:
receiving the audit file and storing the audit file; the next operation is convenient;
acquiring internal audit condition information according to the audit file, wherein the internal audit condition information comprises manual filling or character recognition of a specific position of the file through limiting a file format, and storing the internal audit condition information into a memory;
in the embodiment of the application, the internal audit condition information is fed back, and the internal audit opinion information is obtained, and in the embodiment of the application, the internal audit file can be input through an external input mode, for example, the input is performed through a keyboard character input mode, and the internal audit file can be internally audited by a worker, and the internal audit opinion information is input.
Obtaining internal audit result information according to the internal audit opinion information, wherein the internal audit result information is the result of whether the audit file passes the internal audit or not, and the character format of the internal audit opinion information can be specified by performing character recognition on the internal audit opinion information, for example, the characters after the internal audit opinion information is set as a period are the internal audit result information, and the information of the input audit opinion is specified;
when the internal audit result information is failed, receiving the audit file again, and feeding back the internal audit opinion information;
when the internal audit result information is failed, feeding back the internal audit result information and the internal audit opinion information to account space information of the identity identification information corresponding to the audit file, so that a subsequent uploader can modify and upload the audit file according to the internal audit opinion information conveniently;
and when the internal audit result information is passed, sending the audit file to a customs system for external audit.
Meanwhile, the character recognition is carried out on the uploaded files to be checked, and the character recognition comprises the following steps:
the method comprises the steps of file analysis, wherein the type and the format of a file to be checked are analyzed, and in the embodiment of the application, the file analysis supports the processing of files in JPG (Java native page), PNG (public network group), TIF (terminal information function) and PDF (Portable document Format);
image preprocessing, namely correcting the image imaging problem of the file to be examined; the method specifically comprises the following steps:
inputting the image of the file to be checked into a pre-trained image correction network for geometric change and/or distortion correction to obtain a corrected first target image, namely:
regressing the network parameters of the space transformation corresponding to the first target image by utilizing a positioning network in the image correction network;
calculating the position of a pixel point in the corrected first target image in the first target image by using a grid generator in the image correction network and the network parameters;
outputting the corrected first target image by using a sampler in the image correction network and the calculated position;
then, the user can use the device to perform the operation,
performing small-angle correction on the first target image through a CV algorithm and an affine transformation matrix to obtain a second target image;
removing the blur of the second target image through a denoising algorithm to obtain a third target image;
carrying out binarization processing on the third target image to obtain a binarized image;
after image preprocessing, the following steps are carried out:
the method comprises the following steps of character detection, wherein the position, the range and the layout of a text in a file to be checked are detected, the position, the range and the layout generally comprise layout analysis, character line detection and the like, and the character detection mainly solves the problems of where characters exist and how large the range of the characters exists. The method comprises the following specific steps:
inputting the binary image into a pre-trained feature extraction network;
extracting output information of at least two convolution layers in the feature extraction network, and fusing the output information;
inputting the fused information into a full-connection layer in the feature extraction network, and outputting 2k vertical direction coordinates and coordinate scores of k anchors corresponding to the text region of the binarized image and k boundary regression results to realize text positioning and obtain a rectangular text box;
the processing algorithm adopted by the character detection comprises the following steps: fast-RCNN, Mask-RCNN, FPN, PANET, Unet, IoUNet, YOLO, SSD;
then the step of character recognition is entered,
the character recognition is used for recognizing the text content on the basis of character detection, and the problem mainly solved by the character recognition is what each character is. In this embodiment of the present application, character recognition is performed on text contents in a rectangular text box through a pre-trained character recognition network to obtain text content information, and a processing algorithm adopted in the method includes: CRNN, AttentionOCR, RNNLM, BERT;
and then extracting required fields and/or elements from the text recognition result through text extraction, wherein the required fields and/or elements comprise:
generating a basic semantic analysis engine based on a preset semantic database, wherein the semantic database comprises a field basic corpus, a field dictionary and a field knowledge map;
performing field analysis processing on the text content information based on a basic semantic analysis engine;
extracting required fields and/or elements in text content from a data set based on extraction requirements, wherein the extraction requirements comprise: sequence labeling extraction, deep learning extraction and table extraction,
the processing algorithm adopted by the text extraction comprises the following steps: CRF, HMM, HAN, DPCNN, BilSTM + CRF, BERT + CRF, Regex.
And finally, outputting the result, outputting the final character recognition result or the text extraction processing result, or generating the recognized JSON format message for storage management and application, thereby facilitating multiplexing.
The application also discloses an AEO qualification intelligent rating management system based on intelligent analysis and identification, as shown in FIG. 1, comprising:
the reminding information unit 1 is used for acquiring the submission time information of the audit file and reminding the user according to the actual situation;
the receiving unit 2 receives the audit file;
the file analysis unit 3 analyzes the type and format of the file to be examined;
the image preprocessing unit 4 is used for correcting the image imaging problem of the analyzed file to be examined;
the processing unit 5 is used for processing the audit file and feeding back and uploading various information;
a character recognition unit 6 for recognizing the text content based on the text detection;
a text extraction unit 7 for extracting required fields and/or elements from the text recognition result; and the number of the first and second groups,
a memory 8 and a processor 9, the memory 8 having stored thereon a computer program capable of being loaded by the processor 9 and executing the above-mentioned AEO qualification intelligent rating management method based on intelligent parsing identification.
The embodiment of the application provides a storage medium, wherein the storage medium stores an instruction set, and the instruction set is suitable for a processor 9 to load and execute the steps of the AEO qualification intelligent rating management method based on intelligent analysis and identification.
The computer storage medium includes, for example: various media capable of storing program codes, such as a usb disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk, or an optical disk.
The above embodiments are only used to describe the technical solutions of the present application in detail, but the above embodiments are only used to help understanding the method and the core idea of the present application, and should not be construed as limiting the present application. Those skilled in the art should also appreciate that various modifications and substitutions can be made without departing from the scope of the present disclosure.
Claims (10)
1. An AEO qualification intelligent rating management method based on intelligent analysis and identification is characterized by comprising the following steps:
presetting reminding deadline information of each file to be audited based on the AEO audit requirement;
inputting a file to be checked, wherein the check file comprises a picture class and a non-picture class, and the non-picture class is converted into a picture format and is stored together with the picture class file;
acquiring the submission time information of a file to be audited;
acquiring the sending time of the time reminding information according to the submission time information and the reminding deadline information and feeding back the time reminding information;
analyzing the file, and analyzing the type and format of the file to be examined;
image preprocessing, namely correcting the image imaging problem of the file to be examined;
judging the submission information of the audit file;
if the file submission information is not checked, feeding back the time reminding information;
if the submission information of the audit file is yes, the following steps are carried out:
detecting characters, namely detecting the position, the range and the layout of a text in a file to be examined;
character recognition, namely recognizing the text content on the basis of text detection;
text extraction, namely extracting required fields and/or elements from a text recognition result;
and calling the text to extract the information.
2. The AEO qualification intelligent rating management method based on intelligent analytical recognition of claim 1, wherein the image preprocessing comprises:
inputting an image of a file to be checked into a pre-trained image correction network for geometric change and/or distortion correction to obtain a corrected first target image;
performing small-angle correction on the first target image through a CV algorithm and an affine transformation matrix to obtain a second target image;
removing the blur of the second target image through a denoising algorithm to obtain a third target image;
and carrying out binarization processing on the third target image to obtain a binarized image.
3. The AEO qualification intelligent rating management method based on intelligent parsing identification according to claim 1, wherein the method for obtaining audit file submission information comprises:
if the user uploads the audit file before the sending time of the time reminding information, the submission information of the audit file is yes;
and if the user does not upload the audit file before the sending time of the time reminding information, judging whether the file submitting information is negative.
4. The AEO qualification intelligent rating management method based on intelligent parsing identification of claim 1, wherein the method for obtaining the sending time of the time reminding information according to the submission time information and the reminding deadline information comprises:
and analyzing the submission time information and the reminding time limit information, and subtracting the time corresponding to the submission time information and the time corresponding to the reminding time limit information to obtain the sending time of the time reminding information.
5. The AEO qualification intelligent rating management method based on intelligent parsing identification according to claim 1, wherein the method for feeding back the time reminding information comprises:
presetting a plurality of identity identification information and a plurality of account space information corresponding to the identity identification information;
acquiring identity identification information to be reminded according to the identity identification information;
and feeding back the time reminding information to account space information corresponding to the identification information to be reminded.
6. The AEO qualification intelligent rating management method based on intelligent analytics recognition of claim 5, further comprising,
receiving a file to be checked and storing the check file;
obtaining internal audit condition information according to the audit file;
feeding back internal audit condition information and acquiring internal audit opinion information;
obtaining internal audit result information according to the internal audit opinion information;
when the internal audit result information does not pass, feeding back the internal audit opinion information, and receiving the file to be audited again;
and counting the internal audit passing rate and feeding back.
7. The AEO qualification intelligent rating management method based on intelligent parsing identification as claimed in claim 6, wherein the feedback of the internal audit opinion information according to the internal audit result information comprises:
defining the identity identification information corresponding to the account space information of the uploaded audit file as identity identification information to be audited;
and if the internal audit result information is not passed, returning the audit file to the account space information corresponding to the to-be-audited identity identification information corresponding to the audit file, and feeding back the internal audit opinion information to the account space information corresponding to the to-be-audited identity identification information corresponding to the audit file.
8. The AEO qualification intelligent rating management method based on intelligent parsing identification as claimed in claim 1, wherein the text recognition comprises: performing character recognition on text contents in the rectangular text box through a pre-trained character recognition network to acquire text content information;
the text extraction comprises:
generating a basic semantic analysis engine based on a preset semantic database, wherein the semantic database comprises a field basic corpus, a field dictionary and a field knowledge map;
performing field analysis processing on the text content information based on a basic semantic analysis engine;
extracting required fields and/or elements in text content from a data set based on extraction requirements, wherein the extraction requirements comprise: sequence labeling extraction, deep learning extraction and table extraction.
9. An AEO qualification intelligent rating management system based on intelligent analysis and recognition is characterized by comprising,
the reminding information unit (1) is used for acquiring the submission time information of the audit file and reminding the user according to the actual situation;
a receiving unit (2) that receives the audit file;
the file analysis unit (3) analyzes the type and the format of the file to be examined;
the image preprocessing unit (4) is used for correcting the image imaging problem of the analyzed file to be examined;
the processing unit (5) is used for processing the audit file and feeding back and uploading various information;
a character recognition unit (6) for recognizing the text content on the basis of the text detection;
a text extraction unit (7) for extracting required fields and/or elements from the text recognition result; and the number of the first and second groups,
a memory (8) and a processor (9), the memory (8) having stored thereon a computer program which can be loaded by the processor (9) and which executes the AEO qualification intelligent rating management method based on intelligent analytics recognition as claimed in any one of claims 1 to 8.
10. A computer-readable storage medium storing a computer program that can be loaded by a processor and that executes the AEO qualification intelligent rating management method based on intelligent analytics recognition as claimed in any one of claims 1 to 8.
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