CN110543608A - License plate learning management method and device, computer equipment and storage medium - Google Patents
License plate learning management method and device, computer equipment and storage medium Download PDFInfo
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- CN110543608A CN110543608A CN201910773405.1A CN201910773405A CN110543608A CN 110543608 A CN110543608 A CN 110543608A CN 201910773405 A CN201910773405 A CN 201910773405A CN 110543608 A CN110543608 A CN 110543608A
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Abstract
The invention relates to the technical field of computer technology, in particular to a license plate learning management method, a license plate learning management device, computer equipment and a storage medium, wherein the license plate learning management method comprises the following steps: s10: if a user license plate application request is acquired, license plate field information and corresponding license plate type information are acquired from the user license plate application request; s20: acquiring a license plate credit calculation mode according to the license plate field information, and acquiring a user credit calculation formula according to the license plate type information; s30: acquiring learning behavior data of the user license plate, and inputting the learning behavior data of the user license plate into the user credit calculation formula to obtain the user license plate credit; s40: and acquiring a license plate credit standard corresponding to the license plate field information, and generating a license plate acquisition message if the user license plate credit reaches the license plate credit standard. The invention has the effect of uniformly managing various license plate learning exams.
Description
Technical Field
The present invention relates to the field of computer technology, and in particular, to a license plate learning management method, apparatus, computer device, and storage medium.
Background
At present, a plurality of learning websites are arranged on a network, and after logging in a corresponding website, a user can learn corresponding contents, learn related courses in the learning website and upload daily professional activities to the learning website to obtain credits of a professional license plate test by watching videos in the website.
the existing professional license plates are various in types, when a user wants to take a corresponding professional license plate, the user needs to search a learning website of a corresponding license plate examination, however, if the user needs to learn the various professional license plates, the user needs to search a plurality of corresponding learning websites, so that the efficiency is influenced, and therefore, an improvement space exists.
Disclosure of Invention
the invention aims to provide a license plate learning management method, a license plate learning management device, computer equipment and a storage medium for uniformly managing various license plate learning exams.
the above object of the present invention is achieved by the following technical solutions:
a license plate learning management method, the license plate learning management method comprising:
S10: if a user license plate application request is acquired, license plate field information and corresponding license plate type information are acquired from the user license plate application request;
S20: acquiring a license plate credit calculation mode according to the license plate field information, and acquiring a user credit calculation formula according to the license plate type information;
s30: acquiring learning behavior data of the user license plate, and inputting the learning behavior data of the user license plate into the user credit calculation formula to obtain the user license plate credit;
S40: and acquiring a license plate credit standard corresponding to the license plate field information, and generating a license plate acquisition message if the user license plate credit reaches the license plate credit standard.
by adopting the technical scheme, the obtained license plate field information and the corresponding license plate type information are integrated in advance to obtain the license plate credit calculation formula corresponding to each license plate field information, so that when a user submits a license plate application request, the license plate field information and the license plate type information of the license plate can be obtained according to the application of the user, the user credit calculation formula corresponding to the user is obtained, the user can obtain license plate examination credit calculation modes in different fields in a unified platform in time, and the license plate examination credit calculation method is favorable for improving the efficiency of applying and examining the license plate; meanwhile, the data of the license plate learning behaviors of the user is input into the formula for calculating the scores of the user, the learning direction of the user can be associated with the working and living direction of the user on weekdays, namely the latitude of the score calculated by the user is increased, and the contents learned by the user when the license plate is examined can be better applied to daily working and living after the user examines the license plate.
The invention is further configured to: step S20 includes:
s21: acquiring license plate field type information and small license plate type information corresponding to each license plate field type information;
s22: and acquiring the credit standard data of each small license plate category information, and forming the credit standard data of each small license plate category information into the license plate credit calculation mode.
through adopting above-mentioned technical scheme, photo field kind information divide into a plurality of small license plate classification information, can divide each license plate field kind information according to the condition of difference for the license plate credit calculation mode that obtains can be more accurate.
the invention is further configured to: step S22 includes:
s221: acquiring corresponding core credit data and non-core credit data according to the small license plate category information;
s222: and composing the core credit data and the non-core credit data into the license plate credit standard.
by adopting the technical scheme, each small license plate category information is subdivided into core credit data and non-core data, so that the structure of license plate credit marking is more reasonable, and the method is also beneficial to planning the learning time arrangement of a user in the learning process.
The invention is further configured to: step S30 includes:
S31: acquiring learning behavior data of the user license plate according to a preset time period;
S32: and uploading the learning behavior data of the user license plate to the user credit calculation formula to obtain the user license plate credit.
by adopting the technical scheme, the user can upload corresponding user license plate learning behavior data according to the preset time period, the user can continuously learn to take out the license plate, and the user can be better applied to actual life work after taking out the license plate.
the invention is further configured to: after step S30 and before step S40, the license plate learning management method further includes:
s301: judging whether the acquired user license plate learning behavior data meets the license plate credit calculation mode within the preset time period;
S302: if not, generating a temporary license plate deregistration message.
by adopting the technical scheme, when the user fails to upload the corresponding user license plate learning behavior data in the preset time period, the temporary license plate deregistration message is generated, and the continuous learning of the user when checking the license plate can be supervised.
The second aim of the invention is realized by the following technical scheme:
a license plate learning management apparatus, the license plate learning management apparatus comprising:
The request acquisition module is used for acquiring license plate field information and corresponding license plate type information from the user license plate application request if the request of the user license plate application is acquired;
The custom credit calculation module is used for acquiring a license plate credit calculation mode according to the license plate field information and acquiring a user credit calculation formula according to the license plate type information;
The credit calculation module is used for acquiring the learning behavior data of the user license plate and inputting the learning behavior data of the user license plate into the user credit calculation formula to obtain the credit of the user license plate;
and the credit comparison module is used for acquiring the license plate credit standard corresponding to the license plate field information, and if the user license plate credit reaches the license plate credit standard, generating a license plate acquisition message.
by adopting the technical scheme, the obtained license plate field information and the corresponding license plate type information are integrated in advance to obtain the license plate credit calculation formula corresponding to each license plate field information, so that when a user submits a license plate application request, the license plate field information and the license plate type information of the license plate can be obtained according to the application of the user, the user credit calculation formula corresponding to the user is obtained, the user can obtain license plate examination credit calculation modes in different fields in a unified platform in time, and the license plate examination credit calculation method is favorable for improving the efficiency of applying and examining the license plate; meanwhile, the data of the license plate learning behaviors of the user is input into the formula for calculating the scores of the user, the learning direction of the user can be associated with the working and living direction of the user on weekdays, namely the latitude of the score calculated by the user is increased, and the contents learned by the user when the license plate is examined can be better applied to daily working and living after the user examines the license plate.
The third object of the invention is realized by the following technical scheme:
A computer device comprising a memory, a processor and a computer program stored in said memory and executable on said processor, said processor implementing the steps of the license plate learning management method when executing said computer program.
the fourth object of the invention is realized by the following technical scheme:
a computer-readable storage medium, storing a computer program which, when executed by a processor, implements the steps of the license plate learning management method described above.
in conclusion, the beneficial technical effects of the invention are as follows:
1. the obtained license plate field information and the corresponding license plate type information are integrated in advance to obtain a license plate credit calculation formula corresponding to each license plate field information, so that when a user submits a license plate application request, the license plate field information and the license plate type information of a license plate can be obtained according to the application of the user, the user credit calculation formula corresponding to the user is obtained, the user can timely obtain license plate examination credit calculation modes in different fields in a unified platform, and the license plate examination credit calculation method is favorable for improving the license plate application and examination efficiency;
2. The license plate learning behavior data of the user is input into the user score calculation formula, the learning direction of the user can be associated with the working and living direction of the user on weekdays, namely, the latitude of the user for calculating the score is increased, and therefore the user can better apply the content learned in license plate examination to daily working and living after the license plate is examined.
Drawings
Fig. 1 is a flow chart of a license plate learning management method according to an embodiment of the present invention;
fig. 2 is a flowchart of the implementation of step S20 in the license plate learning management method according to an embodiment of the present invention;
Fig. 3 is a flowchart of the implementation of step S22 in the license plate learning management method according to an embodiment of the present invention;
fig. 4 is a flowchart illustrating an implementation of step S30 in the license plate learning management method according to an embodiment of the present invention;
fig. 5 is a flow chart of another implementation of the license plate learning management method according to an embodiment of the present invention;
fig. 6 is a schematic block diagram of a license plate learning management apparatus according to an embodiment of the present invention;
FIG. 7 is a schematic diagram of a computer device according to an embodiment of the invention.
Detailed Description
the present invention will be described in further detail with reference to the accompanying drawings.
the first embodiment is as follows:
In an embodiment, as shown in fig. 1, the present invention discloses a license plate learning management method, which specifically includes the following steps:
s10: and if the license plate application request of the user is obtained, obtaining license plate field information and corresponding license plate type information from the license plate application request of the user.
in this embodiment, the license plate refers to a professional certificate that most professionals who need to perform regulated activities need to hold before going on duty, such as doctors, lawyers, accountants, engineers, financial management, brokers, agents, brokers, and insurance business workers. The request for applying the license plate of the user is triggered by the user to apply for the request for holding the license plate of a certain professional field. The license plate field information refers to the professional field to which the license plate specifically applied for examination by the user belongs. The license plate type information is specific content in the license plate domain information. For example, the license plate field information may be a surgeon, and the corresponding license plate type information may be that the doctor needs to take license plates for different parts to perform an operation: eyes, ears, mouth, nose, body, hands and feet, which are classified into a plurality of license plate kinds of information according to the position where the operation is performed.
specifically, after the user selects the license plate field information and the license plate type information, the license plate application request of the user is composed and triggered, and further, when the license plate application request of the user is obtained, the license plate field information and the corresponding license plate type information are obtained from the license plate application request of the user.
s20: and acquiring a license plate credit calculation mode according to the license plate field information, and acquiring a user credit calculation formula according to the license plate type information.
in this embodiment, the license plate credit calculation mode is a preset calculation method for obtaining the credit of the license plate in the license plate field information. The user credit calculation formula is a calculation formula of credits required to be acquired in response to a license plate application request of each user corresponding to license plate type information selected by each user. The license plate credit calculation mode can be established by related departments of each professional field and uploaded to the system.
Specifically, after license plate field information and license plate type information in a user license plate application request of a user are acquired, a user credit calculation formula of the user is obtained according to a credit calculation mode of the license plate field information and the license plate type information selected by the user.
For example, the license plate field information selected by the user is the license plate of the surgeon, and the license plate type information of eyes, ears, mouth, nose, body, hands and feet is included in the license plate of the surgeon. And the user selects the license plates corresponding to the eyes, the hands and the body of the surgeon, and then obtains the credit calculation mode of the surgeon, wherein the credit calculation mode comprises the credit calculation modes of the eyes, the ears, the mouth and the nose, the credit calculation modes of the hands and the feet and the credit calculation mode of the body. The user credit calculation formula of the user comprises the above three credit calculation modes.
S30: and acquiring the learning behavior data of the user license plate, and inputting the learning behavior data of the user license plate into a user credit calculation formula to obtain the user license plate credit.
in this embodiment, the license plate learning behavior data of the user refers to the daily learning behavior data of the user. The user license plate credit is the accumulated credit when the user examines the license plate.
Specifically, the learning behavior data of the user license plate is obtained, and the learning behavior data of the user license plate is input into a user credit calculation formula to obtain the user license plate credit. The method for obtaining the learning behavior data of the license plate of the user may be that the user continuously learns on the learning website according to a certain time period, the learning duration in the time period is used as the learning behavior data of the license plate of the user, or the behaviors in daily work learning are uploaded to the learning website, such as research in the industry, paper publication, presentation, teaching or teaching of related subjects, opinion providing by consulting files in the employment field, and presentation of lunch meetings.
S40: and acquiring a license plate credit standard corresponding to the license plate field information, and generating a license plate acquisition message if the license plate credit of the user reaches the license plate credit standard.
in this embodiment, the license plate credit standard refers to the total credit number corresponding to the license plate. The license plate credit standard is provided with a settlement period, for example, one year, each time period may be every month, and in the settlement period, if the credit of the user reaches the corresponding license plate credit standard in every month, the license plate acquisition message is generated to notify the user that the corresponding license plate can be acquired, or notify the user that the user can take a final license plate examination.
in this embodiment, the license plate credit calculation formula corresponding to each license plate field information is obtained by integrating each obtained license plate field information and the corresponding license plate type information in advance, so that when a user submits a license plate application request, the license plate field information and the license plate type information of a license plate can be obtained according to the application of the user, the user credit calculation formula corresponding to the user is obtained, the user can obtain license plate examination credit calculation modes in different fields in a unified platform in time, and the license plate examination credit calculation method is favorable for improving the efficiency of applying and taking the license plate; meanwhile, the data of the license plate learning behaviors of the user is input into the formula for calculating the scores of the user, the learning direction of the user can be associated with the working and living direction of the user on weekdays, namely the latitude of the score calculated by the user is increased, and the contents learned by the user when the license plate is examined can be better applied to daily working and living after the user examines the license plate.
In one embodiment, as shown in fig. 2, in step S20, the license plate score calculation mode is obtained by the following correction:
s21: and acquiring the small license plate category information corresponding to each license plate field information.
In this embodiment, the small license plate information refers to the license plate type included in each license plate field information, and it can be understood that the license plate field information is the large license plate information corresponding to the small license plate information.
Specifically, the category information of the small license plate corresponding to the domain information of each license plate is obtained. For example, the license plate field information is license plate type information of eyes, ears, mouth, nose, body, hands and feet in a surgeon, wherein the eyes, the ears, the mouth and the nose are all parts of the head, and can be classified into small license plate type information, the hands and the feet are four limbs of a human body, and can be classified into small license plate type information, and the body is classified into small license plate type information.
S22: and acquiring the credit standard data of each small license plate category information, and forming the credit standard data of each small license plate category information into a license plate credit calculation mode.
In this embodiment, the score standard data refers to the score required for obtaining the category information of each small license plate.
specifically, the credit standard data of each small license plate category information is obtained, and the credit standard data of each small license plate category information is combined into a license plate credit calculation mode of the license plate field information.
in one embodiment, as shown in fig. 3, in step S22, the method for obtaining the score standard data of each small license plate category information and forming the score standard data of each small license plate category information into a license plate score calculation mode specifically includes the following steps:
s221: and acquiring corresponding core credit data and non-core credit data according to the small license plate category information.
In this embodiment, the core score data is the score of courses that must be selected in the license plate category information. The non-core credit data refers to credits occupied by curriculum which can be selected for repair in the small license plate category information.
specifically, if the small license plate category information includes a core course and a non-core course, core credit data and non-core data of the small license plate category information are respectively obtained.
S222: and forming the core credit data and the non-core credit data into license plate credit standard.
specifically, the core credit data and the non-core credit data are combined into a license plate credit standard.
such as a doctor's license plate, a lawyer's license plate, or an engineer's license plate. There are problems that continue to develop professionally in each field. In the core and non-core concepts, the core subject of the doctor license plate is medical skill, the core subject of the lawyer license plate is the basis of the regulation, and the core subject of the engineer license plate is the building engineering. Some of their common topics, such as english, are non-core topics.
In an embodiment, as shown in fig. 4, in step S30, the method includes the following steps:
S31: and acquiring the learning behavior data of the license plate of the user according to a preset time period.
in particular, the time period may also be adjusted according to the actual situation according to a preset time period, typically one month.
specifically, according to the preset time period, learning behavior data of the license plate of the user is obtained. It can be understood that the obtaining method may be that the user completes the corresponding course learning in the time period, or uploads the corresponding work learning activities as required, and so on.
s32: and uploading the learning behavior data of the user license plate to a user credit calculation formula to obtain the user license plate credit.
Specifically, the learning behavior data of the user license plate is uploaded to a user credit calculation formula to obtain the credit of the user license plate in the time period, and further, the credit of the user license plate of the user is accumulated in a credit settlement period.
In one embodiment, as shown in fig. 5, after step S30 and before step S40, the license plate learning management method further includes:
S301: and judging whether the acquired learning behavior data of the user license plate meets the license plate credit calculation mode within a preset time period.
specifically, on the last day of the time period, the user license plate score obtained by calculating the user license plate learning behavior of the user is compared with the score calculation mode, and if the user license plate score exceeds the score calculation mode, the user license plate score is judged to be satisfied, otherwise, the user license plate score is judged not to be satisfied.
S302: if not, generating a temporary license plate deregistration message.
specifically, if not, a temporary license plate deregistration message is generated, and the user needs to perform the learning of the license plate again. The re-learning mode can be divided into a course for re-repairing the time period or a learning record for logging off the history according to the actual license plate, and the learning is started from the beginning.
it should be understood that, the sequence numbers of the steps in the foregoing embodiments do not imply an execution sequence, and the execution sequence of each process should be determined by its function and inherent logic, and should not constitute any limitation to the implementation process of the embodiments of the present invention.
Example two:
In an embodiment, a license plate learning management apparatus is provided, which corresponds to the license plate learning management methods in the above embodiments one to one. As shown in fig. 6, the license plate learning management apparatus includes a request acquisition module 10, a custom score calculation module 20, a score calculation module 30, and a score comparison module 40. The functional modules are explained in detail as follows:
A request obtaining module 10, configured to obtain license plate field information and corresponding license plate type information from a user license plate application request if the request is obtained;
The custom credit calculation module 20 is used for acquiring a license plate credit calculation mode according to the license plate field information and acquiring a user credit calculation formula according to the license plate type information;
The credit calculation module 30 is configured to obtain the learning behavior data of the user license plate, and input the learning behavior data of the user license plate into a user credit calculation formula to obtain a credit of the user license plate;
And the credit comparison module 40 is used for acquiring the license plate credit standard corresponding to the license plate field information, and generating a license plate acquisition message if the license plate credit of the user reaches the license plate credit standard.
preferably, the custom score calculating module 20 includes:
a small license plate obtaining module 21, configured to obtain small license plate category information corresponding to each license plate field information;
And the custom calculation submodule 22 is used for acquiring the credit standard data of each small license plate category information and forming a license plate credit calculation mode by the credit standard data of each small license plate category information.
Preferably, the custom calculation submodule 22 includes:
the credit data acquisition unit 221 is configured to acquire corresponding core credit data and non-core credit data according to the license plate category information;
and a calculating unit 222, configured to combine the core credit data and the non-core credit data into a license plate credit standard.
Preferably, the credit calculation module 30 includes:
The behavior obtaining submodule 31 is configured to obtain learning behavior data of the license plate of the user according to a preset time period;
and the credit calculation submodule 32 is used for uploading the learning behavior data of the user license plate to a user credit calculation formula to obtain the credit of the user license plate.
Preferably, the license plate learning management apparatus further includes:
The credit score judging submodule 301 is configured to judge whether the acquired user license plate learning behavior data meets a license plate credit score calculation mode within a preset time period;
And a deregistration sub-module 302, configured to generate a temporary license plate deregistration message if the license plate is not registered.
for specific limitations of the license plate learning management apparatus, reference may be made to the above limitations of the license plate learning management method, which are not described herein again. The modules in the license plate learning management device can be wholly or partially realized by software, hardware and 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.
Example three:
in one embodiment, a computer device is provided, which may be a server, the internal structure of which may be as shown in fig. 7. The computer device includes a processor, a memory, a network interface, and a database connected by a system bus. Wherein the processor of the computer device is configured to provide computing and control capabilities. The memory of the computer device comprises a nonvolatile 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 operation of an operating system and computer programs in the non-volatile storage medium. The database of the computer device is used for storing the learning records of the user. The network interface of the computer device is used for communicating with an external terminal through a network connection. The computer program is executed by a processor to implement a license plate learning management method.
In one embodiment, a computer device is provided, comprising a memory, a processor, and a computer program stored on the memory and executable on the processor, the processor implementing the following steps when executing the computer program:
S10: if a user license plate application request is obtained, license plate field information and corresponding license plate type information are obtained from the user license plate application request;
S20: acquiring a license plate credit calculation mode according to the license plate field information, and acquiring a user credit calculation formula according to the license plate type information;
s30: acquiring learning behavior data of the user license plate, and inputting the learning behavior data of the user license plate into a user credit calculation formula to obtain a user license plate credit;
s40: and acquiring a license plate credit standard corresponding to the license plate field information, and generating a license plate acquisition message if the license plate credit of the user reaches the license plate credit standard.
example four:
in one embodiment, a computer-readable storage medium is provided, having a computer program stored thereon, which when executed by a processor, performs the steps of:
S10: if a user license plate application request is obtained, license plate field information and corresponding license plate type information are obtained from the user license plate application request;
s20: acquiring a license plate credit calculation mode according to the license plate field information, and acquiring a user credit calculation formula according to the license plate type information;
S30: acquiring learning behavior data of the user license plate, and inputting the learning behavior data of the user license plate into a user credit calculation formula to obtain a user license plate credit;
s40: and acquiring a license plate credit standard corresponding to the license plate field information, and generating a license plate acquisition message if the license plate credit of the user reaches the license plate credit standard.
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, storage, database, or other medium used in the embodiments provided herein may include non-volatile and/or volatile memory, among others. Non-volatile memory can include read-only memory (ROM), Programmable ROM (PROM), Electrically Programmable ROM (EPROM), Electrically Erasable Programmable ROM (EEPROM), or flash memory. Volatile memory can include Random Access Memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in a variety of forms such as Static RAM (SRAM), Dynamic RAM (DRAM), Synchronous DRAM (SDRAM), Double Data Rate SDRAM (DDRSDRAM), Enhanced SDRAM (ESDRAM), Synchronous Link DRAM (SLDRAM), Rambus Direct RAM (RDRAM), direct bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM).
It will be apparent to those skilled in the art that, for convenience and brevity of description, only the above-mentioned division of the functional units and modules is illustrated, and in practical applications, the above-mentioned function distribution may be performed by different functional units and modules according to needs, that is, the internal structure of the apparatus is divided into different functional units or modules to perform all or part of the above-mentioned functions.
The above-mentioned embodiments are only used for illustrating the technical solutions of the present invention, and not for limiting the same; although the present invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; such modifications and substitutions do not substantially depart from the spirit and scope of the embodiments of the present invention, and are intended to be included within the scope of the present invention.
Claims (10)
1. A license plate learning management method, characterized in that the license plate learning management method comprises:
S10: if a user license plate application request is acquired, license plate field information and corresponding license plate type information are acquired from the user license plate application request;
s20: acquiring a license plate credit calculation mode according to the license plate field information, and acquiring a user credit calculation formula according to the license plate type information;
s30: acquiring learning behavior data of the user license plate, and inputting the learning behavior data of the user license plate into the user credit calculation formula to obtain the user license plate credit;
s40: and acquiring a license plate credit standard corresponding to the license plate field information, and generating a license plate acquisition message if the user license plate credit reaches the license plate credit standard.
2. The license plate learning management method of claim 1, wherein the step S20 includes:
s21: acquiring small license plate category information corresponding to each license plate field information;
S22: and acquiring the credit standard data of each small license plate category information, and forming the credit standard data of each small license plate category information into the license plate credit calculation mode.
3. The license plate learning management method of claim 2, wherein the step S22 includes:
S221: acquiring corresponding core credit data and non-core credit data according to the small license plate category information;
s222: and composing the core credit data and the non-core credit data into the license plate credit standard.
4. the license plate learning management method of claim 1, wherein the step S30 includes:
S31: acquiring learning behavior data of the user license plate according to a preset time period;
s32: and uploading the learning behavior data of the user license plate to the user credit calculation formula to obtain the user license plate credit.
5. the license plate learning management method of claim 4, wherein after step S30 and before step S40, the license plate learning management method further comprises:
S301: judging whether the acquired user license plate learning behavior data meets the license plate credit calculation mode within the preset time period;
S302: if not, generating a temporary license plate deregistration message.
6. A license plate learning management apparatus characterized by comprising:
The request acquisition module is used for acquiring license plate field information and corresponding license plate type information from the user license plate application request if the request of the user license plate application is acquired;
The custom credit calculation module is used for acquiring a license plate credit calculation mode according to the license plate field information and acquiring a user credit calculation formula according to the license plate type information;
The credit calculation module is used for acquiring the learning behavior data of the user license plate and inputting the learning behavior data of the user license plate into the user credit calculation formula to obtain the credit of the user license plate;
and the credit comparison module is used for acquiring the license plate credit standard corresponding to the license plate field information, and if the user license plate credit reaches the license plate credit standard, generating a license plate acquisition message.
7. The license plate learning management device of claim 6, wherein the custom credit calculation module comprises:
The license plate acquisition module is used for acquiring the category information of the license plates corresponding to the license plate field information;
And the custom calculation submodule is used for acquiring the credit standard data of each small license plate type information and forming the credit standard data of each small license plate type information into the license plate credit calculation mode.
8. The license plate learning management apparatus of claim 7 wherein the custom computation submodule comprises:
The credit data acquisition unit is used for acquiring corresponding core credit data and non-core credit data according to the small license plate category information;
and the computing unit is used for forming the core credit data and the non-core credit data into the license plate credit standard.
9. A computer arrangement comprising a memory, a processor and a computer program stored in the memory and executable on the processor, wherein the steps of the license plate learning management method according to any one of claims 1 to 5 are implemented when the computer program is executed by the processor.
10. a computer-readable storage medium, in which a computer program is stored, which, when being executed by a processor, carries out the steps of the license plate learning management method according to any one of claims 1 to 5.
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| CN201910773405.1A CN110543608A (en) | 2019-08-21 | 2019-08-21 | License plate learning management method and device, computer equipment and storage medium |
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| CN201910773405.1A CN110543608A (en) | 2019-08-21 | 2019-08-21 | License plate learning management method and device, computer equipment and storage medium |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| US20180295141A1 (en) * | 2017-04-07 | 2018-10-11 | Amdocs Development Limited | System, method, and computer program for detecting regular and irregular events associated with various entities |
| CN109523436A (en) * | 2018-10-25 | 2019-03-26 | 平安科技（深圳）有限公司 | User's learning management method, apparatus, computer installation, storage medium |
| CN109727164A (en) * | 2018-11-27 | 2019-05-07 | 广州市炬海软件科技有限公司 | A kind of continued medical education management system |
| CN110609947A (en) * | 2018-06-15 | 2019-12-24 | 翟红鹰 | Learning content recommendation method, terminal and storage medium of intelligent learning system |
| CN111835861A (en) * | 2020-07-21 | 2020-10-27 | 平安国际智慧城市科技股份有限公司 | Examination system data processing method and device, computer equipment and storage medium |
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Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20180295141A1 (en) * | 2017-04-07 | 2018-10-11 | Amdocs Development Limited | System, method, and computer program for detecting regular and irregular events associated with various entities |
| CN110609947A (en) * | 2018-06-15 | 2019-12-24 | 翟红鹰 | Learning content recommendation method, terminal and storage medium of intelligent learning system |
| CN109523436A (en) * | 2018-10-25 | 2019-03-26 | 平安科技（深圳）有限公司 | User's learning management method, apparatus, computer installation, storage medium |
| CN109727164A (en) * | 2018-11-27 | 2019-05-07 | 广州市炬海软件科技有限公司 | A kind of continued medical education management system |
| CN111835861A (en) * | 2020-07-21 | 2020-10-27 | 平安国际智慧城市科技股份有限公司 | Examination system data processing method and device, computer equipment and storage medium |
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Application publication date: 20191206 |