CN117176592B - Multi-bank link artificial intelligent gateway processing method, system, medium and equipment - Google Patents
Multi-bank link artificial intelligent gateway processing method, system, medium and equipment Download PDFInfo
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Abstract
The application provides a multi-bank link artificial intelligent gateway processing method, a system, a medium and equipment, wherein the method comprises the following steps: driving a multi-bank link to process a plurality of sample communication tasks according to a preset plurality of sample gateway communication schemes, and obtaining a first processing score according to the processing duration and the flow request waiting number of the corresponding sample communication tasks processed by the sample gateway communication schemes; obtaining second processing scores of each bank on each sample gateway communication scheme; obtaining a comprehensive treatment score according to the first treatment score and the second treatment score; training according to a link architecture, a sample communication task, a sample gateway communication scheme and a comprehensive processing score to obtain an artificial intelligent gateway processing model; inputting the communication tasks of the banks on the same day into an artificial intelligent gateway processing model to obtain a target gateway communication scheme; and driving the gateway of the multi-bank link to transmit the flow request according to the target gateway communication scheme. The data transmission efficiency between banks is improved.
Description
Technical Field
The application relates to the technical field of multi-bank link gateway processing, in particular to a multi-bank link artificial intelligent gateway processing method, a system, a medium and equipment.
Background
In banking industry in China, isolated network construction has become an important means for banks to protect own network security. For example, the gateway of each bank is divided into different isolated network domains based on the service security requirement, but the requirement of data exchange still exists objectively between each bank, and the data interaction between a plurality of banks can be realized through the link architecture of gateway connection, but no standard communication scheme exists between the gateways of each bank in the prior art, so that the data interaction efficiency between each bank is low.
Disclosure of Invention
The invention aims to overcome the defects and shortcomings in the prior art and provide a multi-bank link artificial intelligent gateway processing method, a system, a medium and equipment, which can improve the transmission efficiency of flow requests among multi-bank link gateways.
A first aspect of an embodiment of the present application provides a multi-bank link artificial intelligence gateway processing method, applied to a multi-bank link, where the multi-bank link is a link architecture of gateway connection of a plurality of banks, the processing method includes:
Driving the multi-bank link to process a plurality of sample communication tasks according to a preset plurality of sample gateway communication schemes, and acquiring processing time length of the corresponding sample communication tasks processed according to the sample gateway communication schemes and the waiting quantity of flow requests needing to wait for link transmission; the traffic request of each sample communication task has different task amounts, and the priority of each gateway transmission traffic request of each sample gateway communication scheme is different;
according to the processing time length of each sample gateway communication scheme for processing the corresponding sample communication task and the corresponding flow request waiting quantity, a first processing score of each sample gateway communication scheme corresponding to the sample communication task is obtained;
obtaining manual scores of each bank on each sample gateway communication scheme to obtain second processing scores;
obtaining a comprehensive treatment score according to the first treatment score and the second treatment score;
training a first network model according to the link architecture, each sample communication task, each sample gateway communication scheme corresponding to each sample communication task and the corresponding comprehensive processing score to obtain an artificial intelligent gateway processing model;
Inputting the current day communication tasks of the banks to the artificial intelligent gateway processing model to obtain a target gateway communication scheme with highest comprehensive processing score output by the artificial intelligent network;
and driving the gateway of the multi-bank link to transmit the flow request according to the target gateway communication scheme.
Further, the step of obtaining a first processing score of each sample gateway communication scheme corresponding to the sample communication task according to the processing duration of each sample gateway communication scheme for processing the corresponding sample communication task and the corresponding traffic request waiting number includes:
acquiring a duration score corresponding to each sample gateway communication scheme according to the processing duration of each sample gateway communication scheme of the same sample communication task and a preset duration scoring rule; wherein, the shorter the processing time length is, the higher the time length score is;
obtaining waiting quantity scores corresponding to the sample gateway communication schemes according to the flow request waiting quantity of the sample gateway communication schemes of the same sample communication task and preset waiting quantity scoring rules; wherein the smaller the number of waits, the higher the duration score;
And calculating to obtain the first score according to the time length score and the waiting quantity score.
Further, the step of calculating the first score according to the duration score and the waiting number score includes:
acquiring a duration weight and a waiting number weight corresponding to each sample communication task according to the task quantity of the flow request of the sample communication task and a preset relation between the task quantity and the weight; the more the task quantity of the flow request of the sample communication task is, the larger the duration weight is, and the smaller the waiting quantity weight is; the smaller the task amount of the flow request of the sample communication task is, the smaller the duration weight is, and the larger the waiting number weight is;
and calculating to obtain the first score according to the duration score, the duration weight, the waiting number score and the waiting number weight.
Further, the first network model includes an initial solution prediction model and an initial solution scoring model; the artificial intelligent gateway processing model comprises a target scheme prediction model and a target scheme scoring model;
the step of training the first network model according to the link architecture, each sample communication task, each sample gateway communication scheme corresponding to each sample communication task, and the corresponding integrated processing score to obtain an artificial intelligent gateway processing model includes:
Taking the link architecture and each sample communication task as input, taking each sample gateway communication scheme corresponding to each sample communication task as output, and training the initial scheme prediction model to obtain the target scheme prediction model;
taking the link architecture, each sample communication task and each sample gateway communication scheme corresponding to each sample communication task as input, taking the comprehensive processing score corresponding to each sample gateway communication scheme as output, and scoring the initial scheme to obtain the target scheme scoring model;
and obtaining the artificial intelligent gateway processing model according to the target scheme prediction model and the target scheme scoring model.
Further, the step of inputting the current day communication tasks of the banks to the artificial intelligent gateway processing model to obtain the target gateway communication scheme with the highest comprehensive processing score output by the artificial intelligent network comprises the following steps:
the target scheme prediction model outputs a plurality of candidate gateway communication schemes according to the link architecture and the current day communication tasks of the banks;
The target scheme scoring model outputs scheme scores of the candidate gateway communication schemes according to the link architecture, the current day communication tasks of the banks and the candidate gateway communication schemes;
and determining the candidate gateway communication scheme with the highest scheme score as the target gateway communication scheme.
Further, the current day communication tasks of the banks are obtained through the following steps:
acquiring historical day transaction data, historical day communication tasks and corresponding historical date and time of the plurality of banks;
training a second network model according to the historical daily transaction data, the historical daily communication task and the historical date and time to obtain a communication task prediction model;
and inputting the date and time of the current day transaction data into the communication task prediction model to obtain the current day communication task.
Further, the step of obtaining a composite treatment score from the first treatment score and the second treatment score includes:
and carrying out weighted summation according to the first processing score, the preset first scoring weight, the second processing score and the preset second scoring weight to obtain the comprehensive processing score.
A second aspect of the embodiments of the present application provides a multi-bank link artificial intelligence gateway processing system, applied to a multi-bank link, where the multi-bank link is a link architecture of gateway connection of a plurality of banks, the processing system includes:
the data acquisition module is used for driving the multi-bank link to process a plurality of sample communication tasks according to a plurality of preset sample gateway communication schemes and acquiring processing time length of the corresponding sample communication tasks processed according to the sample gateway communication schemes and the waiting quantity of flow requests needing to wait for link transmission; the traffic request of each sample communication task has different task amounts, and the priority of each gateway transmission traffic request of each sample gateway communication scheme is different;
the first score acquisition module is used for acquiring a first processing score of each sample gateway communication scheme corresponding to the sample communication task according to the processing duration of each sample gateway communication scheme and the corresponding flow request waiting quantity;
the second score acquisition module is used for acquiring the manual scores of the banks on the sample gateway communication schemes to obtain second processing scores;
The comprehensive score acquisition module is used for acquiring a comprehensive treatment score according to the first treatment score and the second treatment score;
the artificial intelligent gateway processing model acquisition module is used for training a first network model according to the link architecture, each sample communication task, each sample gateway communication scheme corresponding to each sample communication task and the corresponding comprehensive processing score to obtain an artificial intelligent gateway processing model;
the target gateway communication scheme acquisition module is used for inputting the current day communication tasks of the banks to the artificial intelligent gateway processing model to obtain the target gateway communication scheme with the highest comprehensive processing score output by the artificial intelligent network;
and the target gateway communication scheme execution module is used for driving the gateway of the multi-bank link to transmit the flow request according to the target gateway communication scheme.
A third aspect of the embodiments of the present application provides a computer readable storage medium storing a computer program which, when executed by a processor, implements the steps of a multi-banking link artificial intelligence gateway processing method as described above.
A fourth aspect of the embodiments of the present application provides a computer device comprising a memory, a processor and a computer program stored in the memory and executable by the processor, the processor implementing the steps of the multi-banking link artificial intelligence gateway processing method as described above when the computer program is executed.
Compared with the prior art, the method and the device have the advantages that the artificial intelligent gateway processing model is obtained according to the link architecture of the multi-bank link, the sample communication tasks, the sample gateway communication schemes corresponding to the sample communication tasks and the comprehensive processing scoring training, so that the target gateway communication scheme with the highest comprehensive processing scoring corresponding to the current day communication tasks of a plurality of banks is obtained through the artificial intelligent gateway processing model, the gateway of the multi-bank link is driven to transmit the flow request according to the target gateway communication scheme, and the technical effect of improving the data interaction efficiency among the banks is achieved. The comprehensive processing score combines the first processing score calculated according to the processing duration and the flow request waiting quantity and the second processing score calculated by the manual scoring, namely the comprehensive processing score is compatible with factors such as the processing duration, the flow request waiting quantity and the evaluation of staff corresponding to each bank on each sample gateway communication scheme, so that the artificial intelligent gateway processing model obtained through training synthesizes objective demands of the processing duration and the flow request waiting quantity and subjective demands of staff corresponding to each bank, and the output target gateway communication scheme can improve data transmission efficiency and satisfaction of the staff.
In order that the present application may be more clearly understood, specific embodiments thereof will be described below with reference to the accompanying drawings.
Drawings
Fig. 1 is a flowchart of a multi-banking-link artificial intelligent gateway processing method according to an embodiment of the present application.
Fig. 2 is a flowchart of steps S21-S23 of a multi-banking-link artificial-intelligence gateway processing method according to an embodiment of the present application.
Fig. 3 is a schematic diagram of module connection of a multi-banking-link artificial-intelligence gateway processing system according to an embodiment of the present application.
1. A data acquisition module; 2. a first score acquisition module; 3. a second score acquisition module; 4. a comprehensive score acquisition module; 5. an artificial intelligent gateway processing model acquisition module; 6. a target gateway communication scheme acquisition module; 7. and the target gateway communication scheme execution module.
Detailed Description
For the purpose of making the objects, technical solutions and advantages of the present application more apparent, the following detailed description of the embodiments of the present application will be given with reference to the accompanying drawings.
It should be understood that the described embodiments are merely some, but not all, of the embodiments of the present application. All other embodiments, which can be made by one of ordinary skill in the art without undue burden from the embodiments of the present application, are within the scope of the embodiments of the present application.
When the following description refers to the accompanying drawings, the same numbers in different drawings refer to the same or similar elements, unless otherwise indicated. In the description of this application, it should be understood that the terms "first," "second," "third," and the like are used merely to distinguish between similar objects and are not necessarily used to describe a particular order or sequence, nor should they be construed to indicate or imply relative importance. The specific meaning of the terms in this application will be understood by those of ordinary skill in the art as the case may be. As used in this application and the appended claims, the singular forms "a," "an," and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise. The word "if"/"if" as used herein may be interpreted as "at … …" or "at … …" or "in response to a determination".
Furthermore, in the description of the present application, unless otherwise indicated, "a plurality" means two or more. "and/or", describes an association relationship of an association object, and indicates that there may be three relationships, for example, a and/or B, and may indicate: a exists alone, A and B exist together, and B exists alone. The character "/" generally indicates that the context-dependent object is an "or" relationship.
Referring to fig. 1, a flowchart of a multi-bank link artificial intelligent gateway processing method according to a first embodiment of the present application is applied to a multi-bank link, where the multi-bank link is a link architecture of gateway connection of a plurality of banks, and the processing method includes:
s1: driving the multi-bank link to process a plurality of sample communication tasks according to a preset plurality of sample gateway communication schemes, and acquiring processing time length of the corresponding sample communication tasks processed according to the sample gateway communication schemes and the waiting quantity of flow requests needing to wait for link transmission; the traffic request of each sample communication task has different task amounts, and the traffic request transmission priority of each gateway of each sample gateway communication scheme is different.
Wherein one sample communication task corresponds to at least two sample gateway communication schemes. For example, the plurality of banks include a bank a, a bank B, a bank C, a bank D and a bank E, in one sample communication task, the objects that the bank needs to perform data interaction include a bank B, a bank C and a bank D, the objects that the bank B needs to perform data interaction include a bank a, a bank D and a bank E, the objects that the bank C needs to perform data interaction include a bank a and a bank B, the objects that the bank D needs to perform data interaction include a bank B and a bank C, at this time, the data interaction of each bank is implemented by the transmission of the traffic requests between the gateways, the priorities of the traffic requests transmitted corresponding to different sample gateway communication schemes are different, so the processing time length of each sample gateway communication scheme for the sample communication task is also different, and the number of traffic requests waiting for the link transmission appearing in the processing process is also different.
In each sample gateway communication scheme, the transmission of the flow requests is prioritized, when a certain flow request is transmitted, if the flow request cannot be transmitted immediately, the transmission requirement corresponding to the flow request cannot be met, which belongs to the flow request waiting for transmission, and the waiting quantity of the flow requests is the total quantity of the flow requests waiting for transmission.
S2: and according to the processing time length of each sample gateway communication scheme for processing the corresponding sample communication task and the corresponding flow request waiting quantity, obtaining a first processing score of each sample gateway communication scheme corresponding to the sample communication task.
The first processing score may be obtained according to a processing duration, the corresponding waiting number of the flow requests, and a preset scoring rule, and belongs to objective scores.
S3: and obtaining the manual score of each bank on each sample gateway communication scheme to obtain a second processing score.
The second processing score is a personal score of the related staff, belongs to subjective scores, and reflects satisfaction degree of the related staff on the sample gateway communication task corresponding to the sample gateway communication scheme processing. When a plurality of related persons appear in one bank for scoring, the average value of the scores of the plurality of related persons can be used as a second processing score so as to improve the fairness of the second processing score. The relevant person may be a line length of the bank, a network administrator and/or a bank manager, etc.
S4: and obtaining a comprehensive treatment score according to the first treatment score and the second treatment score.
The comprehensive treatment score combines the objective first treatment score and the subjective second treatment score, so that the comprehensive treatment score combines objectivity and subjectivity of related personnel of each bank.
S5: and training a first network model according to the link architecture, each sample communication task, each sample gateway communication scheme corresponding to each sample communication task and the corresponding comprehensive processing score to obtain an artificial intelligent gateway processing model.
S6: and inputting the current day communication tasks of the banks into the artificial intelligent gateway processing model to obtain the target gateway communication scheme with the highest comprehensive processing score output by the artificial intelligent network.
S7: and driving the gateway of the multi-bank link to transmit the flow request according to the target gateway communication scheme.
Compared with the prior art, the method and the device have the advantages that the artificial intelligent gateway processing model is obtained according to the link architecture of the multi-bank link, the sample communication tasks, the sample gateway communication schemes corresponding to the sample communication tasks and the comprehensive processing scoring training, so that the target gateway communication scheme with the highest comprehensive processing scoring corresponding to the current day communication tasks of a plurality of banks is obtained through the artificial intelligent gateway processing model, the gateway of the multi-bank link is driven to transmit the flow request according to the target gateway communication scheme, and the technical effect of improving the data interaction efficiency among the banks is achieved. The comprehensive processing score combines the first processing score calculated according to the processing duration and the flow request waiting quantity and the second processing score calculated by the manual scoring, namely the comprehensive processing score is compatible with factors such as the processing duration, the flow request waiting quantity and the evaluation of staff corresponding to each bank on each sample gateway communication scheme, so that the artificial intelligent gateway processing model obtained through training synthesizes objective demands of the processing duration and the flow request waiting quantity and subjective demands of staff corresponding to each bank, and the output target gateway communication scheme can improve data transmission efficiency and satisfaction of the staff.
Referring to fig. 2, in one possible embodiment, the step S2: the step of obtaining a first processing score of each sample gateway communication scheme corresponding to the sample communication task according to the processing duration of each sample gateway communication scheme processing the corresponding sample communication task and the corresponding flow request waiting quantity, comprises the following steps:
s21: acquiring a duration score corresponding to each sample gateway communication scheme according to the processing duration of each sample gateway communication scheme of the same sample communication task and a preset duration scoring rule; wherein the shorter the processing duration, the higher the duration score.
S22: obtaining waiting quantity scores corresponding to the sample gateway communication schemes according to the flow request waiting quantity of the sample gateway communication schemes of the same sample communication task and preset waiting quantity scoring rules; wherein the smaller the number of waits, the higher the duration score.
S23: and calculating to obtain the first score according to the time length score and the waiting quantity score.
In one possible embodiment, the step S23: the step of calculating the first score according to the duration score and the waiting number score comprises the following steps:
S231: acquiring a duration weight and a waiting number weight corresponding to each sample communication task according to the task quantity of the flow request of the sample communication task and a preset relation between the task quantity and the weight; the more the task quantity of the flow request of the sample communication task is, the larger the duration weight is, and the smaller the waiting quantity weight is; the smaller the task amount of the flow request of the sample communication task is, the smaller the duration weight is, and the larger the waiting number weight is.
Wherein the sum of the duration weight and the waiting number weight is 1.
S232: and calculating to obtain the first score according to the duration score, the duration weight, the waiting number score and the waiting number weight.
In this embodiment, if the traffic request of the sample communication task has a smaller task amount, the processing duration of each sample gateway communication scheme is very short, so that the difference of the processing durations of each sample gateway communication scheme is difficult to be represented, at this time, the smoothness of traffic request transmission is more important than the processing duration, and when the traffic request of the sample communication task has a larger task amount, the difference of the processing durations of each sample gateway communication scheme can be obviously represented, at this time, the processing duration is more important than the smoothness of traffic request transmission, so that the accuracy of the obtained first score can be improved by obtaining the duration weight and the waiting number weight according to the traffic request of the sample communication task.
In one possible embodiment, the step S5: a step of obtaining a composite treatment score from the first treatment score and the second treatment score, comprising:
and carrying out weighted summation according to the first processing score, the preset first scoring weight, the second processing score and the preset second scoring weight to obtain the comprehensive processing score.
The sum of the first scoring weight and the second scoring weight is 1, specifically, the values of the first scoring weight and the second scoring weight may be set by a user, for example, setting the first scoring weight to 0.5, setting the second scoring weight to 0.5, setting the first scoring weight to 0.7, setting the second scoring weight to 0.3, and so on.
In one possible embodiment, the first network model includes an initial solution prediction model and an initial solution scoring model; the artificial intelligent gateway processing model comprises a target scheme prediction model and a target scheme scoring model;
the S5: training a first network model according to the link architecture, each sample communication task, each sample gateway communication scheme corresponding to each sample communication task, and the corresponding comprehensive processing score to obtain an artificial intelligent gateway processing model, including:
S51: and taking the link architecture and each sample communication task as input, taking each sample gateway communication scheme corresponding to each sample communication task as output, and training the initial scheme prediction model to obtain the target scheme prediction model.
S52: and taking the link architecture, each sample communication task and each sample gateway communication scheme corresponding to each sample communication task as input, taking the comprehensive processing score corresponding to each sample gateway communication scheme as output, and obtaining the target scheme scoring model for the initial scheme scoring model.
S53: and obtaining the artificial intelligent gateway processing model according to the target scheme prediction model and the target scheme scoring model.
In one possible embodiment, the step S6: inputting the current day communication tasks of the banks to the artificial intelligent gateway processing model to obtain a target gateway communication scheme with the highest comprehensive processing score output by the artificial intelligent network, wherein the method comprises the following steps of:
s61: and the target scheme prediction model outputs a plurality of candidate gateway communication schemes according to the link architecture and the current day communication tasks of the banks.
S62: and the target scheme scoring model outputs scheme scores of the candidate gateway communication schemes according to the link architecture, the current day communication tasks of the banks and the candidate gateway communication schemes.
S63: and determining the candidate gateway communication scheme with the highest scheme score as the target gateway communication scheme.
In this embodiment, the target gateway communication scheme with the highest scheme score may be obtained through the target scheme prediction model and the target scheme scoring model of the artificial intelligent gateway processing model, so as to obtain the target gateway communication scheme meeting the user requirement with the highest objective score based on rule scoring and the highest subjective score based on artificial scoring.
In a possible embodiment, the current day communication tasks of the plurality of banks are obtained by:
acquiring historical day transaction data, historical day communication tasks and corresponding historical date and time of the plurality of banks;
and training a second network model according to the historical daily transaction data, the historical daily communication task and the historical date and time to obtain a communication task prediction model.
And inputting the date and time of the current day transaction data into the communication task prediction model to obtain the current day communication task.
Referring to fig. 3, a second aspect of the embodiments of the present application provides a multi-bank link artificial intelligent gateway processing system, which is applied to a multi-bank link, where the multi-bank link is a link architecture of gateway connection of a plurality of banks, and the processing system includes:
the data acquisition module 1 is used for driving the multi-bank link to process a plurality of sample communication tasks according to a preset plurality of sample gateway communication schemes, and acquiring processing time length of the corresponding sample communication tasks processed according to the sample gateway communication schemes and the waiting quantity of flow requests needing to wait for link transmission; the traffic request of each sample communication task has different task amounts, and the priority of each gateway transmission traffic request of each sample gateway communication scheme is different;
a first score obtaining module 2, configured to obtain a first processing score of each sample gateway communication scheme corresponding to the sample communication task according to a processing duration of each sample gateway communication scheme for processing the corresponding sample communication task and the corresponding traffic request waiting number;
a second score obtaining module 3, configured to obtain a second processing score by obtaining a manual score of each bank on each sample gateway communication scheme;
A comprehensive score obtaining module 4, configured to obtain a comprehensive processing score according to the first processing score and the second processing score;
the artificial intelligent gateway processing model obtaining module 5 is configured to train the first network model according to the link architecture, each sample communication task, each sample gateway communication scheme corresponding to each sample communication task, and the corresponding comprehensive processing score, so as to obtain an artificial intelligent gateway processing model;
the target gateway communication scheme obtaining module 6 is used for inputting the current day communication tasks of the banks to the artificial intelligent gateway processing model to obtain the target gateway communication scheme with the highest comprehensive processing score output by the artificial intelligent network;
and the target gateway communication scheme execution module 7 is used for driving the gateway of the multi-bank link to transmit the flow request according to the target gateway communication scheme.
It should be noted that, when the multi-bank-link artificial intelligent gateway processing system provided in the second embodiment of the present application executes the multi-bank-link artificial intelligent gateway processing method, only the division of the above functional modules is used for illustration, in practical application, the above functional allocation may be completed by different functional modules according to needs, that is, the internal structure of the device is divided into different functional modules, so as to complete all or part of the functions described above. In addition, the multi-banking-link artificial intelligent gateway processing system provided in the second embodiment of the present application and the multi-banking-link artificial intelligent gateway processing method in the first embodiment of the present application belong to the same concept, and detailed implementation processes of the multi-banking-link artificial intelligent gateway processing system are shown in method embodiments and are not described herein again.
A third aspect of the embodiments of the present application provides a computer readable storage medium storing a computer program which, when executed by a processor, implements the steps of a multi-banking link artificial intelligence gateway processing method as described above.
A fourth aspect of the embodiments of the present application provides a computer device comprising a memory, a processor and a computer program stored in the memory and executable by the processor, the processor implementing the steps of the multi-banking link artificial intelligence gateway processing method as described above when the computer program is executed.
The above-described apparatus embodiments are merely illustrative, wherein the components illustrated as separate components may or may not be physically separate, and the components shown as units may or may not be physical units, may be located in one place, or may be distributed over a plurality of network units. Some or all of the modules may be selected according to actual needs to achieve the purposes of the present application. Those of ordinary skill in the art will understand and implement the present invention without undue burden.
It will be appreciated by those skilled in the art that embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present application is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems) and computer program products according to embodiments of the application. It will be understood that each flow and/or block of the flowchart illustrations and/or block diagrams, and combinations of flows and/or blocks in the flowchart illustrations and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks. These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart block or blocks and/or block diagram block or blocks.
In one typical configuration, a computing device includes one or more processors (CPUs), input/output interfaces, network interfaces, and memory.
The memory may include volatile memory in a computer-readable medium, random Access Memory (RAM) and/or nonvolatile memory, etc., such as Read Only Memory (ROM) or flash RAM. Memory is an example of a computer-readable medium.
Computer readable media, including both non-transitory and non-transitory, removable and non-removable media, may implement information storage by any method or technology. The information may be computer readable instructions, data structures, modules of a program, or other data. Examples of storage media for a computer include, but are not limited to, phase change memory (PRAM), static Random Access Memory (SRAM), dynamic Random Access Memory (DRAM), other types of Random Access Memory (RAM), read Only Memory (ROM), electrically Erasable Programmable Read Only Memory (EEPROM), flash memory or other memory technology, compact disc read only memory (CD-ROM), digital Versatile Discs (DVD) or other optical storage, magnetic cassettes, magnetic tape magnetic disk storage or other magnetic storage devices, or any other non-transmission medium, which can be used to store information that can be accessed by a computing device. Computer-readable media, as defined herein, does not include transitory computer-readable media (transmission media), such as modulated data signals and carrier waves.
It should also be noted that the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising one … …" does not exclude the presence of other like elements in a process, method, article or apparatus that comprises an element.
The foregoing is merely exemplary of the present application and is not intended to limit the present application. Various modifications and changes may be made to the present application by those skilled in the art. Any modifications, equivalent substitutions, improvements, etc. which are within the spirit and principles of the present application are intended to be included within the scope of the claims of the present application.
Claims (9)
1. The multi-bank link artificial intelligent gateway processing method is characterized by being applied to multi-bank links, wherein the multi-bank links are link architectures for gateway connection of a plurality of banks, and the processing method comprises the following steps:
Driving the multi-bank link to process a plurality of sample communication tasks according to a preset plurality of sample gateway communication schemes, and acquiring processing time length of the corresponding sample communication tasks processed according to the sample gateway communication schemes and the waiting quantity of flow requests needing to wait for link transmission; the traffic request of each sample communication task has different task amounts, and the priority of each gateway transmission traffic request of each sample gateway communication scheme is different;
according to the processing time length of each sample gateway communication scheme for processing the corresponding sample communication task and the corresponding flow request waiting quantity, a first processing score of each sample gateway communication scheme corresponding to the sample communication task is obtained;
obtaining manual scores of each bank on each sample gateway communication scheme to obtain second processing scores;
obtaining a comprehensive treatment score according to the first treatment score and the second treatment score;
training a first network model according to the link architecture, each sample communication task, each sample gateway communication scheme corresponding to each sample communication task and the corresponding comprehensive processing score to obtain an artificial intelligent gateway processing model;
Inputting the current day communication tasks of the banks to the artificial intelligent gateway processing model to obtain a target gateway communication scheme with highest comprehensive processing score output by the artificial intelligent network;
driving the gateway of the multi-bank link to transmit a flow request according to the target gateway communication scheme;
wherein the first network model comprises an initial solution prediction model and an initial solution scoring model; the artificial intelligent gateway processing model comprises a target scheme prediction model and a target scheme scoring model;
the step of training the first network model according to the link architecture, each sample communication task, each sample gateway communication scheme corresponding to each sample communication task, and the corresponding integrated processing score to obtain an artificial intelligent gateway processing model includes:
taking the link architecture and each sample communication task as input, taking each sample gateway communication scheme corresponding to each sample communication task as output, and training the initial scheme prediction model to obtain the target scheme prediction model;
taking the link architecture, each sample communication task and each sample gateway communication scheme corresponding to each sample communication task as input, taking the comprehensive processing score corresponding to each sample gateway communication scheme as output, and scoring the initial scheme to obtain the target scheme scoring model;
And obtaining the artificial intelligent gateway processing model according to the target scheme prediction model and the target scheme scoring model.
2. The multi-banking-link artificial-intelligence gateway processing method according to claim 1, wherein the step of obtaining a first processing score of each of the sample gateway communication schemes corresponding to the sample communication task according to a processing duration of each of the sample gateway communication schemes to process the corresponding sample communication task and the corresponding traffic request waiting number includes:
acquiring a duration score corresponding to each sample gateway communication scheme according to the processing duration of each sample gateway communication scheme of the same sample communication task and a preset duration scoring rule; wherein, the shorter the processing time length is, the higher the time length score is;
obtaining waiting quantity scores corresponding to the sample gateway communication schemes according to the flow request waiting quantity of the sample gateway communication schemes of the same sample communication task and preset waiting quantity scoring rules; wherein the smaller the number of waits, the higher the duration score;
and calculating to obtain the first score according to the time length score and the waiting quantity score.
3. The multi-banking link artificial intelligence gateway processing method according to claim 2, wherein the step of calculating the first score according to the duration score and the waiting number score includes:
acquiring a duration weight and a waiting number weight corresponding to each sample communication task according to the task quantity of the flow request of the sample communication task and a preset relation between the task quantity and the weight; the more the task quantity of the flow request of the sample communication task is, the larger the duration weight is, and the smaller the waiting quantity weight is; the smaller the task amount of the flow request of the sample communication task is, the smaller the duration weight is, and the larger the waiting number weight is;
and calculating to obtain the first score according to the duration score, the duration weight, the waiting number score and the waiting number weight.
4. The multi-bank link artificial intelligent gateway processing method according to claim 2, wherein the step of inputting the current day communication tasks of the banks to the artificial intelligent gateway processing model to obtain the target gateway communication scheme with the highest comprehensive processing score output by the artificial intelligent network comprises the steps of:
The target scheme prediction model outputs a plurality of candidate gateway communication schemes according to the link architecture and the current day communication tasks of the banks;
the target scheme scoring model outputs scheme scores of the candidate gateway communication schemes according to the link architecture, the current day communication tasks of the banks and the candidate gateway communication schemes;
and determining the candidate gateway communication scheme with the highest scheme score as the target gateway communication scheme.
5. The multi-banking-link artificial intelligence gateway processing method according to claim 1, wherein the current-day communication tasks of the plurality of banks are obtained by:
acquiring historical day transaction data, historical day communication tasks and corresponding historical date and time of the plurality of banks;
training a second network model according to the historical daily transaction data, the historical daily communication task and the historical date and time to obtain a communication task prediction model;
and inputting the date and time of the current day transaction data into the communication task prediction model to obtain the current day communication task.
6. The multi-banking link artificial intelligence gateway processing method of claim 1, wherein the step of obtaining a composite processing score based on the first processing score and the second processing score comprises:
And carrying out weighted summation according to the first processing score, the preset first scoring weight, the second processing score and the preset second scoring weight to obtain the comprehensive processing score.
7. A multi-bank link artificial intelligence gateway processing system, characterized by being applied to a multi-bank link, wherein the multi-bank link is a link architecture of gateway connection of a plurality of banks, the processing system comprising:
the data acquisition module is used for driving the multi-bank link to process a plurality of sample communication tasks according to a plurality of preset sample gateway communication schemes and acquiring processing time length of the corresponding sample communication tasks processed according to the sample gateway communication schemes and the waiting quantity of flow requests needing to wait for link transmission; the traffic request of each sample communication task has different task amounts, and the priority of each gateway transmission traffic request of each sample gateway communication scheme is different;
the first score acquisition module is used for acquiring a first processing score of each sample gateway communication scheme corresponding to the sample communication task according to the processing duration of each sample gateway communication scheme and the corresponding flow request waiting quantity;
The second score acquisition module is used for acquiring the manual scores of the banks on the sample gateway communication schemes to obtain second processing scores;
the comprehensive score acquisition module is used for acquiring a comprehensive treatment score according to the first treatment score and the second treatment score;
the artificial intelligent gateway processing model acquisition module is used for training a first network model according to the link architecture, each sample communication task, each sample gateway communication scheme corresponding to each sample communication task and the corresponding comprehensive processing score to obtain an artificial intelligent gateway processing model;
the target gateway communication scheme acquisition module is used for inputting the current day communication tasks of the banks to the artificial intelligent gateway processing model to obtain the target gateway communication scheme with the highest comprehensive processing score output by the artificial intelligent network;
the target gateway communication scheme execution module is used for driving the gateway of the multi-bank link to transmit the flow request according to the target gateway communication scheme;
wherein the first network model comprises an initial solution prediction model and an initial solution scoring model; the artificial intelligent gateway processing model comprises a target scheme prediction model and a target scheme scoring model;
The step of training the first network model according to the link architecture, each sample communication task, each sample gateway communication scheme corresponding to each sample communication task, and the corresponding integrated processing score to obtain an artificial intelligent gateway processing model includes:
taking the link architecture and each sample communication task as input, taking each sample gateway communication scheme corresponding to each sample communication task as output, and training the initial scheme prediction model to obtain the target scheme prediction model;
taking the link architecture, each sample communication task and each sample gateway communication scheme corresponding to each sample communication task as input, taking the comprehensive processing score corresponding to each sample gateway communication scheme as output, and scoring the initial scheme to obtain the target scheme scoring model;
and obtaining the artificial intelligent gateway processing model according to the target scheme prediction model and the target scheme scoring model.
8. A computer-readable storage medium storing a computer program, characterized in that: the computer program when executed by a processor performs the steps of the multi-banking artificial intelligence gateway processing method of any of claims 1 to 6.
9. A computer device, characterized by: comprising a memory, a processor and a computer program stored in the memory and executable by the processor, the processor implementing the steps of the multi-banking artificial intelligence gateway processing method according to any of claims 1 to 6 when the computer program is executed.
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