CN113971521A - License issuing method, device and storage medium - Google Patents
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Abstract
The application relates to a license issuing method, equipment and a storage medium, belonging to the technical field of computers, wherein the method comprises the following steps: responding to the received permission issuing request, and acquiring the item type of the to-be-issued permission item; collecting related materials of the license issue to be approved through a material collecting page under the condition that the event type is a preset type; extracting information to be examined in the related materials; determining whether the information to be examined meets the examination rule corresponding to the item type; under the condition that the information to be examined conforms to the examination rule corresponding to the item type, acquiring item permission corresponding to the item type; sending the item permission to a sending end which permits the approval sending request; the problem that the efficiency of checking the materials manually is low, and when the materials are not carried completely by the user, the user needs to prepare the materials again, so that the efficiency of licensing is low can be solved; because the automatic approval can be realized for the preset type of matters and the permission of the matters is automatically distributed, the permission issuing efficiency can be improved.
Description
[ technical field ] A method for producing a semiconductor device
The application relates to a license issuing method, equipment and a storage medium, belonging to the technical field of computers.
[ background of the invention ]
Currently, the business for undertaking needs to be approved by the government for execution. Such as: the network taxi booking service needs to obtain the network taxi booking license.
The way in which governments issue licenses is typically: the user carries the paper material to a business window and audits related business personnel; comparing and checking the paper materials manually by service personnel; and issuing a license for the user after the audit is passed.
However, manual review of materials is inefficient, and when the user is not carrying the materials completely, the user is also required to prepare the materials again, resulting in a problem of inefficient licensing.
[ summary of the invention ]
The application provides a method, equipment and a storage medium for license approval, which can solve the problems that the efficiency of manually checking and approving materials is low, and when a user carries the materials incompletely, the user needs to prepare the materials again, so that the efficiency of license approval is low. The application provides the following technical scheme:
in a first aspect, a method for license issue is provided, where the method includes:
responding to the received permission issuing request, and acquiring the item type of the to-be-issued permission item;
determining whether the event type is a preset type, wherein the preset type of event is an event which does not need manual participation and allows automatic approval;
collecting the related materials of the to-be-approved license issue through a material collection page under the condition that the event type is the preset type;
extracting the information to be examined in the related materials;
determining whether the information to be examined meets an examination rule corresponding to the item type;
under the condition that the information to be examined accords with the examination rule corresponding to the item type, acquiring the item permission corresponding to the item type;
and sending the transaction permission to the sender of the permission approval request.
Optionally, before determining whether the event type is a preset type, the method further includes:
acquiring item information of each item through an information acquisition page;
and under the condition that the item information indicates that the corresponding item does not need to be transacted manually, determining the item type of the item as the preset type.
Optionally, the transaction information includes: a transaction form, wherein the determining that the item type of the item is the preset type under the condition that the item information indicates that the corresponding item does not need to be manually transacted includes:
and under the condition that the transaction form comprises online transaction, determining the item type of the item as the preset type.
Optionally, the transaction information includes: the related material information corresponding to the event, before collecting the related material of the to-be-checked license event through a material collection page if the event type is the preset type, further includes:
generating the material collection page based on the related material information to collect the related material indicated by the related material information.
Optionally, the item information includes an approval criterion, and before determining whether the to-be-reviewed information conforms to the review rule corresponding to the item type, the method further includes:
and extracting the examination rule based on the examination and approval basis.
Optionally, the extracting the information to be examined from the related material includes:
inputting the related materials into a pre-trained information extraction model to obtain the information to be examined; the information extraction model is obtained by training sample related materials and information labels corresponding to the sample materials.
Optionally, the information extraction model includes an optical character recognition model and a semantic understanding model, and the step of inputting the relevant materials into a pre-trained information extraction model to obtain the information to be reviewed includes:
inputting the related material into the optical character recognition model to obtain text information corresponding to image information in the related material, wherein the file processing result further comprises the text information; the optical character recognition model is used for converting the information in the image format into the information in the text format;
and inputting the text information corresponding to the related materials into the semantic understanding model to obtain a classification result of the text information, wherein the classification result comprises the information to be examined.
Optionally, the to-be-issued license issue includes a network reserved taxi license issue item, the preset type of item includes the network reserved taxi license issue item, and the related material includes: the system comprises a motor vehicle sales invoice image, an identity card front-back image, a driving license certificate image, a motor vehicle commercial insurance electronic insurance policy, a motor vehicle traffic accident liability compulsory insurance electronic insurance policy, a driving license certificate image, a motor vehicle registration certificate image, a vehicle navigation installation bill image and a motor vehicle purchase tax receipt payment book image.
In a second aspect, an electronic device is provided, the device comprising a processor and a memory; the memory stores therein a program that is loaded and executed by the processor to implement the license issuance method provided by the first aspect.
In a third aspect, a computer-readable storage medium is provided, in which a program is stored, and the program is used for implementing the license issuing method provided in the first aspect when executed by a processor.
The beneficial effects of this application include at least: acquiring the item type of the license items to be approved by responding to the received license approval request; determining whether the event type is a preset type, wherein the preset type of event is an event which does not need manual participation and allows automatic approval; collecting related materials of the license issue to be approved through a material collecting page under the condition that the event type is a preset type; extracting information to be examined in related materials; determining whether the information to be examined meets the examination rule corresponding to the item type; under the condition that the information to be examined conforms to the examination rule corresponding to the item type, acquiring item permission corresponding to the item type; sending the item permission to a sending end which permits the approval sending request; the problem that the efficiency of manually checking the materials is low, and when the materials are not completely carried by the user, the user needs to prepare the materials again, so that the efficiency of licensing is low can be solved; because automatic approval can be realized for the preset type of matters and the permission of the matters is automatically distributed, the permission approval efficiency can be improved.
In addition, the permission is automatically issued when the event type is the preset type, so that the conditions that the permission is issued are ensured to be all the conditions without manual participation, and the legality of the permission is ensured.
The foregoing description is only an overview of the technical solutions of the present application, and in order to make the technical solutions of the present application more clear and clear, and to implement the technical solutions according to the content of the description, the following detailed description is made with reference to the preferred embodiments of the present application and the accompanying drawings.
[ description of the drawings ]
Fig. 1 is a schematic structural diagram of a license issuance system according to an embodiment of the present application;
fig. 2 is a flowchart of a license issuance method according to an embodiment of the present application;
FIG. 3 is a schematic view of a material collection page provided by one embodiment of the present application;
FIG. 4 is a schematic diagram of an information collection page provided by one embodiment of the present application;
fig. 5 is a block diagram of a license issuing device according to an embodiment of the present application;
fig. 6 is a block diagram of an electronic device provided by an embodiment of the application.
[ detailed description ] embodiments
The following detailed description of embodiments of the present application will be made with reference to the accompanying drawings and examples. The following examples are intended to illustrate the present application but are not intended to limit the scope of the present application.
Optionally, the license issuing method provided in each embodiment is used in an electronic device for example to explain, the electronic device is a terminal or a server, the terminal may be a mobile phone, a computer, a tablet computer, and the like, and the embodiment does not limit the type of the electronic device.
First, a number of nouns to which the partial application relates will be introduced.
Optical Character Recognition (OCR) technology: the image information can be processed to obtain text information in the image. OCR is generally divided into two major steps, image processing and character recognition, respectively. Image processing is the pre-processing of an original image, generally including: graying, binaryzation, noise reduction, inclination correction, character segmentation and the like. The character recognition comprises the steps of extracting character features after preprocessing an original image; and inputting the character features into a classifier for classification and identification to obtain text information corresponding to the image information. Where classifiers are typically obtained through supervised learning, it is possible to determine the textual information for a word based on the characteristics of the word.
Natural Language Processing (NLP): the acquired text information can be converted into data which can be understood by a machine, and key information in the text information can be extracted. The NLP is mainly applied to the aspects of machine translation, automatic summarization, information extraction, text classification, question answering, text semantic comparison, voice recognition, Chinese OCR and the like.
Fig. 1 is a schematic structural diagram of a license issuance system according to an embodiment of the present application. The permission issuing system is used for providing permission issuing service, and the permission issuing system can provide the permission issuing service through a webpage; or the license issuing service may be provided by the application program, and the embodiment does not limit the manner in which the license issuing system provides the license issuing service. As shown in fig. 1, the system includes at least a user device 110, a server 120, and a government system 130.
A communication connection is established between the user equipment 110 and the server 120. The server 120 is used to provide the license issuance service for the user equipment 110.
In this embodiment, the user device 110 is configured to log in the server 120 using the user information, and send a permission issuing request to the server 120, where the permission issuing request includes the user information; accordingly, the server 120 receives the license issuance request.
Optionally, the user information may be a pre-registered user account and password, or a mobile phone number, or an identity card number, and the like, and the implementation manner of the user information is not limited in this embodiment.
Thereafter, the server 120 is configured to: responding to the received permission issuing request, and acquiring the item type of the to-be-issued permission item; determining whether the item type is a preset type; collecting related materials of the license issue to be approved through a material collecting page under the condition that the event type is a preset type; extracting information to be examined in related materials; determining whether the information to be examined meets the examination rule corresponding to the item type; under the condition that the information to be examined conforms to the examination rule corresponding to the item type, acquiring item permission corresponding to the item type; and sending the transaction permission to a sender of the permission approval request. The transmitting end is the user equipment 110.
The preset type of events are events which do not need manual participation and allow automatic approval.
The materials collection page is used to collect all relevant materials used by the pending approval process.
The transaction license corresponding to the transaction type is acquired by the server 120 through an interface with the government system 130.
Specifically, the server 120 is configured to send an event permission feedback to the government affairs system 130, where the license event permission feedback carries an approval result of the event to be approved, the user identifier, and the event type.
Accordingly, the government system 130 is configured to receive event admission feedback; generating an item license according to the user identification and the item type corresponding to the user information under the condition that the approval result in the item license feedback indicates that the approval is passed; the transaction license is returned to the server 120 for the server 120 to send to the user device 110.
The user identifier includes a user identification number, and may also include a contact information of the user, and the implementation manner of the user identifier is not limited in this embodiment.
Optionally, in this application, the to-be-approved licensing issue includes a network-reserved taxi license approval issue, the preset-type issue includes a network-reserved taxi license approval issue, and the related materials include: the system comprises a motor vehicle sales invoice image, an identity card front-back image, a driving license certificate image, a motor vehicle commercial insurance electronic insurance policy, a motor vehicle traffic accident liability compulsory insurance electronic insurance policy, a driving license certificate image, a motor vehicle registration certificate image, a vehicle navigation installation bill image and a motor vehicle purchase tax collection payment book image.
In other embodiments, the outstanding approval event may also be other events that require government approval, such as: business approval, etc., the present embodiment does not limit the implementation manner of the issue approval item.
It should be added that, in this embodiment, one user device 110 and one government affair system 130 are taken as an example for description, in actual implementation, the number of the user devices 110 may be multiple, the number of the government affair systems 130 may be multiple, different types of admission matters to be issued correspond to different government affair systems, and this embodiment does not limit the implementation manner of the user devices 110 and the government affair systems 130.
The document approval method provided by the present application is described below.
Fig. 2 is a flowchart of a license issuing method according to an embodiment of the present application, where the present application takes the server 120 in the license issuing system shown in fig. 1 as an example to describe the method, and the method at least includes the following steps:
Optionally, the permission approval request carries the user information and the transaction name of the to-be-approved transaction. The user information is used to indicate the requester of the transaction license.
The server stores the corresponding relation between the transaction name and the transaction type, so that the server can search the corresponding relation for the transaction type corresponding to the transaction name in the permission approval request.
Optionally, in this embodiment, the event type includes a preset type and other types, where the preset type of event is an event that allows automatic approval without human intervention; the other type is a matter that requires manual involvement in issuing a license.
Executing step 203 if the transaction type is a preset type; if the transaction type is not the preset type, the automatic issuance of the license is not permitted, and the flow ends.
Optionally, before determining whether the event type is the preset type, that is, before step 202, the method further includes: acquiring item information of each item through an information acquisition page; and determining the event type of the event as a preset type under the condition that the event information indicates that the corresponding event does not need to be handled manually.
The information collection page is used for collecting the item information of each item required to be approved by the government. The matters required to be approved by the government comprise preset types of matters.
Optionally, the information collection page is a page sent by the server to the government system, in other words, the event information is filled in by the approver.
Optionally, the transaction information includes: the form is handled. Determining the event type of the event as a preset type under the condition that the event information indicates that the event corresponding to the event does not need to be manually participated in, wherein the determining comprises the following steps: in the case where the transaction form includes online transaction, the transaction type of the transaction is determined to be a preset type.
In the case where the transaction form includes only manual transaction, the type of the event of the determined event is not a preset type.
Optionally, the transaction information includes: and relevant material information corresponding to the matters. The server is further configured to generate a material collection page based on the related material information to collect the related material indicated by the related material information.
Wherein the related material information includes but is not limited to: the material name and/or template image of the related material, etc. are not limited in this embodiment.
Generating a material collection page based on the related material information, comprising: and setting related material information and input controls of related materials indicated by the related material information on the page, wherein the page distance between the related material information and the corresponding input controls is smaller than the page distance between the related material information and other input controls.
Such as: the item is a network reservation taxi license verification item, and correspondingly, the related materials comprise: the image of the motor vehicle sales invoice, the image of the front and back sides of the identity card, the image of the driving license certificate, the electronic insurance policy of the commercial insurance of the motor vehicle, the electronic insurance policy of the motor vehicle traffic accident liability compulsory insurance policy, the image of the driving license certificate, the image of the motor vehicle registration certificate, the image of the vehicle navigation installation sheet and the image of the motor vehicle purchase tax collection payment book are compared with the figure 3, and the material collection page comprises the following images: the input control part 31 of the image of the motor vehicle sales invoice and the corresponding related material information 'motor vehicle sales invoice' 32, the input control part 33 of the positive image of the ID card and the corresponding related material information 'transactor ID card figure' 34, the input control part 35 of the positive image of the ID card and the corresponding related material information 'transactor ID card' 36, the input control part 37 of the image of the driving license card and the corresponding related material information 'network reservation taxi driver card' 38, the input control part 39 of the electronic insurance policy of the motor vehicle business and the corresponding related material information 'motor vehicle business insurance policy (electronic insurance policy)' 310, the input control part 311 of the electronic insurance policy of the motor vehicle traffic accident liability and the corresponding related material information 'motor vehicle traffic accident liability mandatory insurance policy' 312, the input control part 313 of the image of the driving certificate and the corresponding related material information 'motor vehicle driving license' 314, An input control 315 of a vehicle registration certificate image and corresponding related material information 'vehicle registration certificate' 316, an input control 317 of a vehicle navigation installation sheet image and corresponding related material information 'vehicle GPS installation sheet' 318, an input control 319 of a vehicle purchase tax payment book image and corresponding related material information 'vehicle purchase tax payment book (electronic tax payment voucher)' 320.
The material collection page shown in fig. 3 is only illustrative, and in actual implementation, the implementation manner of the input control and the page layout manner in the material collection page may also be other manners, or the page layout manner may also be set by a user in a customized manner, and the implementation manner of the material collection page is not limited in this embodiment.
Optionally, the transaction information further comprises approval evidence. Wherein, the approval basis includes but is not limited to: the embodiment does not limit the implementation manner of the approval foundation according to the legal foundation, the government regulation foundation and the like. The server is also used for extracting the examination rule based on the examination and approval basis.
Specifically, extracting the review rule based on the approval foundation includes: and performing semantic recognition on the approval basis by using a semantic recognition network corresponding to the current item to obtain an approval rule indicated by the approval basis.
The semantic recognition networks corresponding to different matters are different. Each semantic recognition network is obtained by using sample approval basis and rule label training of corresponding affair items.
It should be added that the event information may also include other contents, such as: the transaction type, the transaction code, the administrative level, the intermediary service, the government information, the window transaction information, the standard transaction information, the transaction flow information, the transaction time limit information and/or the charging condition, etc. in this embodiment, the content included in the transaction information is not limited.
Such as: referring to the information collection page shown in fig. 4, the item information collected by the information collection page includes: basic information 41, departmental information 42, window transactions 43, acceptance criteria 44, transaction material 45, transaction flow 46 and transaction time limit 47. The basic information 41 includes a transaction form of the transaction, the acceptance criteria 44 includes approval criteria (i.e., acceptance conditions) of the transaction, and the transaction material 45 includes material information related to the transaction.
And step 203, collecting the related materials of the license issue to be approved through the material collection page under the condition that the transaction type is the preset type.
The server sends the material collection page to the user equipment, and the user equipment uploads the related materials through the material collection page.
And step 204, extracting the information to be examined in the related materials.
In one example, extracting information to be reviewed in the relevant material includes: inputting the related materials into a pre-trained information extraction model to obtain information to be examined; the information extraction model is obtained by training the sample related material and the information label corresponding to the sample material.
Optionally, the information extraction model comprises an optical character recognition model and a semantic understanding model. Correspondingly, inputting the relevant materials into a pre-trained information extraction model to obtain the information to be examined, wherein the information to be examined comprises the following steps: inputting the related materials into an optical character recognition model to obtain text information corresponding to the image information in the related materials, wherein the file processing result also comprises the text information; the optical character recognition model is used for converting the information in the image format into the information in the text format; and inputting the text information corresponding to the related materials into a semantic understanding model to obtain a classification result of the text information, wherein the classification result comprises the information to be checked.
Alternatively, the image cannot be identified due to the semantic understanding model. Based on this, in the present embodiment, the information extraction model includes an optical character recognition model and a semantic understanding model. Text information in the image is identified through the optical character identification model, and then semantic identification is carried out on the text information, so that text classification can be realized.
The optical character recognition model is used to convert information in an image format to information in a text format. Optionally, the optical character recognition model is derived based on supervised learning using the sample document images.
The semantic understanding model can extract information which needs to be examined and approved from the related materials from the text information to obtain the information to be examined. Wherein the text information includes text in a table and text in a non-table in the related material.
Illustratively, the semantic understanding model is obtained by performing supervised learning by using the sample text information and the actual pending information corresponding to the sample text information. The semantic understanding model may be an NLP model.
Optionally, the review rule is a mathematical model with the information to be reviewed as model parameters. Determining whether the information to be examined meets the examination rule corresponding to the item type, wherein the examination rule comprises the following steps: after substituting the information to be examined into the mathematical model, determining whether the mathematical model is established, and if so, determining that the mathematical model conforms to the examination rule; if not, determining that the examination rule is not met.
Such as: the mathematical model corresponding to the examination rule is as follows: if the sum of the motor vehicle invoice amount and the electronic payment certificate is more than or equal to 120000 yuan, the information to be checked comprises the motor vehicle invoice amount and the electronic payment certificate; after the server substitutes the motor vehicle invoice amount and the electronic payment certificate into the mathematical model corresponding to the examination rule, whether the mathematical model is established or not is determined, and if the mathematical model is established, the examination rule is determined to be met; if not, determining that the examination rule is not met.
And step 206, under the condition that the information to be examined conforms to the examination rule corresponding to the item type, acquiring the item permission corresponding to the item type.
The server accesses the government system through the interface and sends the item permission feedback to the government system, and the license item permission feedback carries the approval result, the user identification and the item type of the item to be approved and issued.
Correspondingly, the government affair system is used for receiving the matter permission feedback; under the condition that the approval result in the item permission feedback indicates that the approval is passed, generating item permission according to the user identification and the item type corresponding to the user information; the transaction license is returned to the server.
The user identifier includes a user identification number, and may also include a contact information of the user, and the implementation manner of the user identifier is not limited in this embodiment.
In summary, the license issuance method provided in this embodiment obtains the transaction type of the to-be-issued license transaction by responding to the received license issuance request; determining whether the event type is a preset type, wherein the preset type of event is an event which does not need manual participation and allows automatic approval; collecting related materials of the to-be-approved license items through a material collection page under the condition that the item type is a preset type; extracting information to be examined in the related materials; determining whether the information to be examined meets the examination rule corresponding to the item type; under the condition that the information to be examined conforms to the examination rule corresponding to the item type, acquiring item permission corresponding to the item type; sending the item permission to a sending end which permits the approval sending request; the problem that the efficiency of checking the materials manually is low, and when the materials carried by the user are not complete, the user needs to prepare the materials again, so that the efficiency of licensing is low can be solved; because the automatic approval can be realized for the preset type of matters and the permission of the matters is automatically distributed, the permission issuing efficiency can be improved.
In addition, the permission is automatically issued when the event type is the preset type, so that the conditions that the permission is issued are ensured to be all the conditions without manual participation, and the legality of the permission is ensured.
Fig. 5 is a block diagram of a license issuing device according to an embodiment of the present application. The device may be the server 120 in the license issuing system shown in fig. 1. The device at least comprises the following modules: a type acquisition module 510, a type judgment module 520, a material collection module 530, an information extraction module 540, an information review module 550, a license acquisition module 560, and a license issuance module 570.
A type obtaining module 510, configured to obtain, in response to the received license issuance request, a transaction type of the to-be-verified license transaction;
a type determining module 520, configured to determine whether the event type is a preset type, where the preset type of event is an event that does not require human intervention and allows automatic issuance of a license;
a material collecting module 530, configured to collect, through a material collecting page, the relevant material of the to-be-approved transaction if the transaction type is the preset type;
an information extraction module 540, configured to extract information to be examined in the related material;
an information examination module 550, configured to determine whether the information to be examined meets an examination rule corresponding to the item type;
a permission obtaining module 560, configured to obtain an item permission corresponding to the item type when the to-be-reviewed information conforms to the review rule corresponding to the item type;
and the license issuing module 570 is used for sending the transaction license to the sending end of the license issuing request.
For relevant details reference is made to the above-described method embodiments.
It should be noted that: in the license issuing device provided in the foregoing embodiment, when performing license issuing, only the division of each function module is described as an example, and in practical applications, the function distribution may be completed by different function modules according to needs, that is, the internal structure of the license issuing device is divided into different function modules, so as to complete all or part of the functions described above. In addition, the license issuing device and the license issuing method provided by the above embodiments belong to the same concept, and specific implementation processes thereof are detailed in the method embodiments and are not described herein again.
Fig. 6 is a block diagram of an electronic device provided by an embodiment of the application. The electronic device may be the server 120 in the license issuing system shown in fig. 1. The electronic device comprises at least a processor 601 and a memory 602.
Processor 601 may include one or more processing cores such as: 4 core processors, 8 core processors, etc. The processor 601 may be implemented in at least one hardware form of a DSP (Digital Signal Processing), an FPGA (Field-Programmable Gate Array), and a PLA (Programmable Logic Array). The processor 601 may also include a main processor and a coprocessor, where the main processor is a processor for Processing data in the wake-up state, and is also called a Central Processing Unit (CPU); a coprocessor is a low power processor for processing data in a standby state. In some embodiments, the processor 601 may be integrated with a GPU (Graphics Processing Unit), which is responsible for rendering and drawing the content required to be displayed on the display screen. In some embodiments, processor 601 may also include an AI (Artificial Intelligence) processor for processing computational operations related to machine learning.
The memory 602 may include one or more computer-readable storage media, which may be non-transitory. The memory 602 may also include high-speed random access memory, as well as non-volatile memory, such as one or more magnetic disk storage devices, flash memory storage devices. In some embodiments, a non-transitory computer readable storage medium in the memory 602 is used to store at least one instruction for execution by the processor 601 to implement the license issuance method provided by the method embodiments herein.
In some embodiments, the electronic device may further include: a peripheral interface and at least one peripheral. The processor 601, the memory 602 and the peripheral interface may be connected by a bus or signal lines. Each peripheral may be connected to the peripheral interface via a bus, signal line, or circuit board. Illustratively, peripheral devices include, but are not limited to: radio frequency circuit, touch display screen, audio circuit, power supply, etc.
Of course, the electronic device may include fewer or more components, which is not limited by the embodiment.
Optionally, the present application further provides a computer-readable storage medium, in which a program is stored, and the program is loaded and executed by a processor to implement the license issuing method of the foregoing method embodiment.
Optionally, the present application further provides a computer product, which includes a computer-readable storage medium, in which a program is stored, and the program is loaded and executed by a processor to implement the license issuing method of the above-mentioned method embodiment.
The technical features of the embodiments described above may be arbitrarily combined, and for the sake of brevity, all possible combinations of the technical features in the embodiments described above are not described, but should be considered as being within the scope of the present specification 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 invention. 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 patent shall be subject to the appended claims.
Claims (10)
1. A method for license issuance, the method comprising:
responding to the received permission issuing request, and acquiring the item type of the to-be-issued permission item;
determining whether the event type is a preset type, wherein the preset type of event is an event which does not need manual participation and allows automatic approval;
collecting the related materials of the to-be-approved license transaction through a material collection page under the condition that the transaction type is the preset type;
extracting the information to be examined in the related materials;
determining whether the information to be examined meets an examination rule corresponding to the item type;
under the condition that the information to be examined accords with the examination rule corresponding to the item type, acquiring the item permission corresponding to the item type;
and sending the transaction permission to the sender of the permission approval request.
2. The method of claim 1, wherein before determining whether the transaction type is a preset type, further comprising:
acquiring item information of each item through an information acquisition page;
and under the condition that the item information indicates that the corresponding item does not need to be transacted manually, determining the item type of the item as the preset type.
3. The method of claim 2, wherein the transaction information comprises: a transaction form, wherein the determining that the item type of the item is the preset type under the condition that the item information indicates that the corresponding item does not need to be manually transacted includes:
and under the condition that the transaction form comprises online transaction, determining the item type of the item as the preset type.
4. The method of claim 2, wherein the transaction information comprises: the related material information corresponding to the event, before collecting the related material of the to-be-approved license event through a material collection page if the event type is the preset type, further includes:
generating the material collection page based on the related material information to collect the related material indicated by the related material information.
5. The method of claim 2, wherein the transaction information includes approval criteria, and before determining whether the information to be reviewed complies with the review rule corresponding to the transaction type, the method further comprises:
and extracting the examination rule based on the examination and approval basis.
6. The method of claim 1, wherein said extracting information to be reviewed from said related material comprises:
inputting the related materials into a pre-trained information extraction model to obtain the information to be examined; the information extraction model is obtained by training sample related materials and information labels corresponding to the sample materials.
7. The method of claim 6, wherein the information extraction model comprises an optical character recognition model and a semantic understanding model, and the inputting the relevant materials into a pre-trained information extraction model to obtain the information to be examined comprises:
inputting the related material into the optical character recognition model to obtain text information corresponding to image information in the related material, wherein the file processing result further comprises the text information; the optical character recognition model is used for converting the information in the image format into the information in the text format;
and inputting the text information corresponding to the related materials into the semantic understanding model to obtain a classification result of the text information, wherein the classification result comprises the information to be examined.
8. The method according to any one of claims 1 to 7, wherein the to-be-issued license issue includes a network reservation taxi license issue, the preset type of issue includes the network reservation taxi license issue, and the related material includes: the system comprises a motor vehicle sales invoice image, an identity card front-back image, a driving license certificate image, a motor vehicle commercial insurance electronic insurance policy, a motor vehicle traffic accident liability compulsory insurance electronic insurance policy, a driving license certificate image, a motor vehicle registration certificate image, a vehicle navigation installation bill image and a motor vehicle purchase tax payment book image.
9. An electronic device, characterized in that the device comprises a processor and a memory; the memory has stored therein a program that is loaded and executed by the processor to implement the license issuing method according to any one of claims 1 to 8.
10. A computer-readable storage medium, characterized in that the storage medium has stored therein a program which, when executed by a processor, is adapted to implement the license issuing method according to any one of claims 1 to 8.
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| CN202111245281.3A CN113971521A (en) | 2021-10-26 | 2021-10-26 | License issuing method, device and storage medium |
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Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2020024407A1 (en) * | 2018-08-03 | 2020-02-06 | 平安科技（深圳）有限公司 | Electronic device, method for intelligently processing car insurance claim, and storage medium |
| CN112488672A (en) * | 2020-12-17 | 2021-03-12 | 深圳市中博科创信息技术有限公司 | Method for realizing government affair second batch business and business system |
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Patent Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2020024407A1 (en) * | 2018-08-03 | 2020-02-06 | 平安科技（深圳）有限公司 | Electronic device, method for intelligently processing car insurance claim, and storage medium |
| CN112488672A (en) * | 2020-12-17 | 2021-03-12 | 深圳市中博科创信息技术有限公司 | Method for realizing government affair second batch business and business system |
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