Financial transaction management system

Abstract

The invention relates to a financial transaction management system, and the system comprises a content identification mechanism which is used for employing an intelligent identification model to identify a predicted value of the number of interactive bank users corresponding to a set bank operation point on the day; and the dynamic configuration mechanism is used for dynamically configuring the quantity of financial business tellers of the set bank operation point on the day based on the received predicted numerical value of the quantity of the interactive bank users corresponding to the set bank operation point on the day. The financial transaction management system is compact in design and wide in application. As the deep convolutional inverse graph network after multiple learning can be adopted as an intelligent identification model, the predicted value of the number of interactive bank users corresponding to the set bank operation point on the day is intelligently predicted, and the number of financial business tellers of the set bank operation point on the day is dynamically configured. Therefore, the financial interaction requirement is met, and limited financial service teller resources are fully utilized.

Description

Technical Field

[0001] The present invention relates to the field of financial management, and in particular to a financial transaction management system. Background Art

[0002] Financial management refers to the management of monetary funds by the state in order to achieve the goals of balancing the supply and demand of money, stabilizing the value of money and economic growth. The major of financial management mainly cultivates and trains applied and professional professionals in financial management with certain innovation awareness, innovation ability and practical work ability. Financial management mainly studies theoretical knowledge in finance, investment, securities, insurance, futures and options, etc., and requires students to be familiar with national financial laws and regulations, and master certain core skills such as financial product marketing, network marketing, customer resource development and management.

[0003] In the prior art, for a same bank that is responsible for multiple bank branches, the number of its financial service tellers is limited, and it is necessary to dynamically allocate the financial service tellers on duty at each bank branch on that day based on the number of interactive bank users corresponding to each bank branch on that day, so as to achieve full mobilization and use of financial service tellers among multiple bank branches. However, the number of interactive bank users corresponding to each bank branch in the future is difficult to effectively predict, which makes it difficult to implement the above dynamic allocation plan. Summary of the invention

[0004] In order to solve the technical problems in the related fields, the present invention provides a financial transaction management system, which introduces an object building component for constructing a deep convolutional inverse graph network after multiple learning, and outputs the deep convolutional inverse graph network after multiple learning as an intelligent identification model, obtains the number of registered bank users of a set bank business point, the floor area of ​​the business area of ​​the set bank business point, the number of business channels of the set bank business point, and the total number of other bank business points around the set bank business point, and obtains the number of interactive bank users corresponding to each day before the set bank business point, where the interactive bank user refers to a bank user who has banking business interaction behavior with the set bank business point, thereby providing sufficient and comprehensive basic information for the intelligent prediction of the number of interactive bank users corresponding to the set bank business point on the day, and also introduces a dynamic configuration mechanism for dynamically configuring the number of financial business tellers of the set bank business point on the day based on the predicted value of the number of interactive bank users corresponding to the set bank business point on the day of intelligent prediction, wherein the number of financial business tellers of the set bank business point on the day of dynamic configuration is monotonically positively correlated with the received predicted value of the number of interactive bank users corresponding to the set bank business point on the day of the set bank business point, thereby taking into account both the satisfaction of financial interaction needs and the full utilization of limited financial business teller resources.

[0005] According to the present invention, there is provided a financial transaction management system, the system comprising: An object building component, used for constructing a deep convolutional inverse graphics network after multiple learning, and outputting the deep convolutional inverse graphics network after multiple learning as an intelligent identification model, wherein the deep convolutional inverse graphics network is learned multiple times to obtain the deep convolutional inverse graphics network after multiple learning; An information parsing component, used to obtain the number of registered bank users of a set bank business point, the floor area of ​​the business area of ​​the set bank business point, the number of business channels of the set bank business point, and the total number of other bank business points around the set bank business point; A data capture component is used to obtain the number of interactive bank users corresponding to each day before the set bank business point, where the interactive bank user refers to a bank user who has a banking business interactive behavior with the set bank business point; a content identification mechanism, connected to the object component component, the information analysis component and the data capture component respectively, for inputting the number of interactive bank users corresponding to each day before the set bank business point, the number of registered bank users of the set bank business point, the floor area of ​​the business area of ​​the set bank business point, the number of business channels of the set bank business point and the total number of other bank business points around the set bank business point into the intelligent identification model in parallel, and executing the intelligent identification model to obtain a predicted value of the number of interactive bank users corresponding to the set bank business point on the day output by the intelligent identification model; A dynamic configuration mechanism, connected to the content identification mechanism, for dynamically configuring the number of financial service tellers at the set bank business point on the day based on the received predicted value of the number of interactive bank users corresponding to the set bank business point on the day; The object building component is used to construct a deep convolutional inverse graphics network after multiple learning, and output the deep convolutional inverse graphics network after multiple learning as an intelligent identification model, wherein the deep convolutional inverse graphics network is learned multiple times to obtain the deep convolutional inverse graphics network after multiple learning, including: the number of times the deep convolutional inverse graphics network is learned is proportional to the number of registered bank users of the set bank business point; Among them, the information analysis component is used to obtain the number of registered bank users of the set bank business point, the floor area of ​​the business area of ​​the set bank business point, the number of business channels of the set bank business point, and the total number of other bank business points around the set bank business point, including: the other bank business points around the set bank business point are other bank business points within the coverage of a circle with the center position of the set bank business point as the center and the set radius value as the radius.

[0006] It can be seen that the present invention has at least the following three significant substantive features: Substantive feature 1: Introducing an object building component for constructing a deep convolutional inverse graphics network after multiple learnings, and outputting the deep convolutional inverse graphics network after multiple learnings as an intelligent identification model, wherein the deep convolutional inverse graphics network is learned multiple times to obtain the deep convolutional inverse graphics network after multiple learnings, and the number of times the deep convolutional inverse graphics network is learned is proportional to the number of registered bank users of a set bank business point, thereby customizing intelligent identification models of different structures for different set bank business points; Substantive feature 2: Obtain the number of registered bank users of the set bank business point, the floor area of ​​the business area of ​​the set bank business point, the number of business channels of the set bank business point, and the total number of other bank business points around the set bank business point, as well as the number of interactive bank users corresponding to each day before the set bank business point. Interactive bank users refer to bank users who have banking business interactive behaviors with the set bank business point, thereby providing sufficient and comprehensive basic information for the intelligent prediction of the number of interactive bank users corresponding to the set bank business point on the day; Substantive feature three: Introducing a dynamic configuration mechanism to dynamically configure the number of financial business tellers at the bank business point set on the day based on the predicted value of the number of interactive bank users corresponding to the bank business point on the day of the intelligent prediction, wherein the dynamically configured number of financial business tellers at the bank business point set on the day is monotonically positively correlated with the received predicted value of the number of interactive bank users corresponding to the bank business point on the day of the set day, thereby taking into account both the satisfaction of financial interaction needs and the full utilization of limited financial business teller resources.

[0007] The financial transaction management system of the present invention is compact in design and widely used. Since a deep convolutional inverse graph network that has completed multiple learnings can be used as an intelligent identification model, the predicted value of the number of interactive bank users corresponding to the bank business point on the day can be intelligently predicted, and then the number of financial business tellers of the bank business point set on the day can be dynamically configured, thereby taking into account the satisfaction of financial interaction needs and the full utilization of limited financial business teller resources. BRIEF DESCRIPTION OF THE DRAWINGS

[0008] The embodiments of the present invention will be described below with reference to the accompanying drawings, wherein: Figure 1 FIG. 1 is a diagram showing the internal structure of a financial transaction management system according to a first embodiment of the present invention.

[0009] Figure 2 FIG. 1 is a diagram showing the internal structure of a financial transaction management system according to a second embodiment of the present invention.

[0010] Figure 3FIG. 1 is a diagram showing the internal structure of a financial transaction management system according to a third embodiment of the present invention. DETAILED DESCRIPTION

[0011] The implementation scheme of the financial transaction management system of the present invention will be described in detail below with reference to the accompanying drawings.

[0012] Figure 1 This is an internal structure diagram of a financial transaction management system according to a first embodiment of the present invention, wherein the system comprises: An object building component, used for constructing a deep convolutional inverse graphics network after multiple learning, and outputting the deep convolutional inverse graphics network after multiple learning as an intelligent identification model, wherein the deep convolutional inverse graphics network is learned multiple times to obtain the deep convolutional inverse graphics network after multiple learning; By way of example, a CPLD chip may be used to implement the object building component, which is used to construct a deep convolutional inverse graphics network after multiple learnings, and output the deep convolutional inverse graphics network after multiple learnings as an intelligent identification model, wherein the deep convolutional inverse graphics network is learned multiple times to obtain the deep convolutional inverse graphics network after multiple learnings; An information parsing component, used to obtain the number of registered bank users of a set bank business point, the floor area of ​​the business area of ​​the set bank business point, the number of business channels of the set bank business point, and the total number of other bank business points around the set bank business point; A data capture component is used to obtain the number of interactive bank users corresponding to each day before the set bank business point, where the interactive bank user refers to a bank user who has a banking business interactive behavior with the set bank business point; a content identification mechanism, connected to the object component component, the information analysis component and the data capture component respectively, for inputting the number of interactive bank users corresponding to each day before the set bank business point, the number of registered bank users of the set bank business point, the floor area of ​​the business area of ​​the set bank business point, the number of business channels of the set bank business point and the total number of other bank business points around the set bank business point into the intelligent identification model in parallel, and executing the intelligent identification model to obtain a predicted value of the number of interactive bank users corresponding to the set bank business point on the day output by the intelligent identification model; A dynamic configuration mechanism, connected to the content identification mechanism, for dynamically configuring the number of financial service tellers at the set bank business point on the day based on the received predicted value of the number of interactive bank users corresponding to the set bank business point on the day; The object building component is used to construct a deep convolutional inverse graphics network after multiple learning, and output the deep convolutional inverse graphics network after multiple learning as an intelligent identification model, wherein the deep convolutional inverse graphics network is learned multiple times to obtain the deep convolutional inverse graphics network after multiple learning, including: the number of times the deep convolutional inverse graphics network is learned is proportional to the number of registered bank users of the set bank business point; The information parsing component is used to obtain the number of registered bank users of the set bank business point, the floor area of ​​the business area of ​​the set bank business point, the number of business channels of the set bank business point, and the total number of other bank business points around the set bank business point, including: the other bank business points around the set bank business point are other bank business points within the coverage of a circle with the center position of the set bank business point as the center and the set radius value as the radius; The dynamically configuring the number of financial service tellers at the set bank business point on the day based on the received predicted value of the number of interactive bank users corresponding to the set bank business point on the day includes: the dynamically configured number of financial service tellers at the set bank business point on the day is monotonically positively correlated with the received predicted value of the number of interactive bank users corresponding to the set bank business point on the day; Among them, the number of interactive bank users corresponding to each day before the set bank business point is obtained. The interactive bank users refer to bank users who have banking business interactive behaviors with the set bank business point, including: the number of each day before the day is monotonically positively correlated with the area occupied by the business area of ​​the set bank business point; Among them, the number of each interactive bank user corresponding to each day before the set bank business point, the number of registered bank users of the set bank business point, the floor area of ​​the business area of ​​the set bank business point, the number of business channels of the set bank business point and the total number of other bank business points around the set bank business point are input into the intelligent identification model in parallel, and the intelligent identification model is executed to obtain the predicted value of the number of interactive bank users corresponding to the set bank business point on that day output by the intelligent identification model, including: executing a numerical processing process in the early morning of the same day, inputting the number of each interactive bank user corresponding to each day before the set bank business point, the number of registered bank users of the set bank business point, the floor area of ​​the business area of ​​the set bank business point, the number of business channels of the set bank business point and the total number of other bank business points around the set bank business point in parallel into the intelligent identification model, and executing the intelligent identification model to obtain the predicted value of the number of interactive bank users corresponding to the set bank business point on that day output by the intelligent identification model.

[0013] Figure 2 FIG. 1 is a diagram showing the internal structure of a financial transaction management system according to a second embodiment of the present invention.

[0014] exist Figure 2 In, with Figure 1 Differently, the financial transaction management system shown in the second embodiment of the present invention may further include: a state monitoring mechanism, connected to the content identification mechanism, the object assembly component, the information parsing component and the data capture component, respectively, for measuring the instantaneous internal heat of each of the content identification mechanism, the object assembly component, the information parsing component and the data capture component; The state monitoring mechanism is respectively connected with the content identification mechanism, the object component, the information parsing component and the data capture component, and is used to respectively measure the instantaneous internal heat of each of the content identification mechanism, the object component, the information parsing component and the data capture component. The state monitoring mechanism includes a plurality of heat measurement units, which are respectively connected with the content identification mechanism, the object component, the information parsing component and the data capture component, so as to respectively measure the instantaneous internal heat of each of the content identification mechanism, the object component, the information parsing component and the data capture component. Wherein, the state monitoring mechanism comprises a plurality of heat measurement units, which are respectively connected to the content identification mechanism, the object component, the information parsing component and the data capture component to respectively measure the instantaneous internal heat of the content identification mechanism, the object component, the information parsing component and the data capture component, comprising: the plurality of heat measurement units are a plurality of heat sensors, which are respectively connected to the content identification mechanism, the object component, the information parsing component and the data capture component to respectively measure the instantaneous internal heat of the content identification mechanism, the object component, the information parsing component and the data capture component; The plurality of heat measurement units are a plurality of heat sensors, which are respectively connected to the content identification mechanism, the object component, the information analysis component and the data capture component to respectively measure the instant internal heat of the content identification mechanism, the object component, the information analysis component and the data capture component, including: the plurality of heat sensors have the same internal structure; Among them, the multiple heat measurement units are multiple heat sensors, which are used to connect with the content identification mechanism, the object component part, the information analysis component and the data capture component respectively to complete the measurement of the real-time internal heat of the content identification mechanism, the object component part, the information analysis component and the data capture component respectively, and also include: the multiple heat sensors have the same heat measurement upper limit value and heat measurement lower limit value.

[0015] Figure 3 FIG. 1 is a diagram showing the internal structure of a financial transaction management system according to a third embodiment of the present invention.

[0016] exist Figure 3 In, with Figure 1 Differently, the financial transaction management system shown in the third embodiment of the present invention may further include: 51 single-chip microcomputer chip, respectively connected to the plurality of heat measurement units of the content identification mechanism, the object assembly component, the information parsing component and the data capture component, for realizing on-site configuration of the real-time working mode of the content identification mechanism, the object assembly component, the information parsing component and the data capture component; Among them, the 51 single-chip microcomputer chip is respectively connected to the multiple heat measurement units of the content identification mechanism, the object component, the information parsing component and the data capture component, and is used to realize the on-site configuration of the real-time working mode of the content identification mechanism, the object component, the information parsing component and the data capture component, including: the 51 single-chip microcomputer chip is a processor with multiple serial communication interfaces; And wherein, the 51 single-chip microcomputer chip is respectively connected to a plurality of heat measurement units of the content identification mechanism, the object component part, the information analysis component and the data capture component, and is used to realize the on-site configuration of the real-time working mode of the content identification mechanism, the object component part, the information analysis component and the data capture component, including: the 51 single-chip microcomputer chip has built-in registers, timers and static storage devices.

[0017] In addition, in the financial transaction management system, the number of financial business tellers at the dynamically configured bank business point set on the day and the predicted value of the number of interactive bank users corresponding to the set bank business point on the day received are monotonically positively correlated, including: using a numerical mapping function to represent the numerical mapping relationship of the monotonically positive correlation between the number of financial business tellers at the dynamically configured bank business point set on the day and the predicted value of the number of interactive bank users corresponding to the set bank business point on the day received; And wherein, a numerical mapping relationship in which a numerical mapping function is used to represent the monotonically positive correlation between the number of financial business tellers at a dynamically configured bank business point on the day and the predicted value of the number of interactive bank users corresponding to the set bank business point on the day received includes: in the numerical mapping function, the predicted value of the number of interactive bank users corresponding to the set bank business point on the day received is the input parameter, and the number of financial business tellers at the dynamically configured bank business point on the day set is the output parameter.

[0018] It should be understood by those skilled in the art that various modifications, combinations, sub-combinations and substitutions may be achieved depending on design requirements and other factors insofar as they are within the scope of the appended claims or the equivalents thereof.

Claims

1. A financial transaction management system, characterized in that: The system comprises: An object building component, used for constructing a deep convolutional inverse graphics network after multiple learning, and outputting the deep convolutional inverse graphics network after multiple learning as an intelligent identification model, wherein the deep convolutional inverse graphics network is learned multiple times to obtain the deep convolutional inverse graphics network after multiple learning; An information parsing component, used to obtain the number of registered bank users of a set bank business point, the floor area of ​​the business area of ​​the set bank business point, the number of business channels of the set bank business point, and the total number of other bank business points around the set bank business point; A data capture component is used to obtain the number of interactive bank users corresponding to each day before the set bank business point, where the interactive bank user refers to a bank user who has a banking business interactive behavior with the set bank business point; a content identification mechanism, connected to the object component component, the information analysis component and the data capture component respectively, for inputting the number of interactive bank users corresponding to each day before the set bank business point, the number of registered bank users of the set bank business point, the floor area of ​​the business area of ​​the set bank business point, the number of business channels of the set bank business point and the total number of other bank business points around the set bank business point into the intelligent identification model in parallel, and executing the intelligent identification model to obtain a predicted value of the number of interactive bank users corresponding to the set bank business point on the day output by the intelligent identification model; A dynamic configuration mechanism, connected to the content identification mechanism, for dynamically configuring the number of financial service tellers at the set bank business point on the day based on the received predicted value of the number of interactive bank users corresponding to the set bank business point on the day; The object building component is used to construct a deep convolutional inverse graphics network after multiple learning, and output the deep convolutional inverse graphics network after multiple learning as an intelligent identification model, wherein the deep convolutional inverse graphics network is learned multiple times to obtain the deep convolutional inverse graphics network after multiple learning, including: the number of times the deep convolutional inverse graphics network is learned is proportional to the number of registered bank users of the set bank business point; Among them, the information analysis component is used to obtain the number of registered bank users of the set bank business point, the floor area of ​​the business area of ​​the set bank business point, the number of business channels of the set bank business point, and the total number of other bank business points around the set bank business point, including: the other bank business points around the set bank business point are other bank business points within the coverage of a circle with the center position of the set bank business point as the center and the set radius value as the radius.

2. The financial transaction management system according to claim 1, characterized in that: Dynamically configuring the number of financial service tellers at the set bank business point on the day based on the received predicted value of the number of interactive bank users corresponding to the set bank business point on the day includes: the dynamically configured number of financial service tellers at the set bank business point on the day is monotonically positively correlated with the received predicted value of the number of interactive bank users corresponding to the set bank business point on the day; Among them, the number of interactive bank users corresponding to each day before the set bank business point is obtained. The interactive bank users refer to bank users who have banking business interactive behaviors with the set bank business point, including: the number of each day before the day is monotonically positively correlated with the area occupied by the business area of ​​the set bank business point; Among them, the number of each interactive bank user corresponding to each day before the set bank business point, the number of registered bank users of the set bank business point, the floor area of ​​the business area of ​​the set bank business point, the number of business channels of the set bank business point and the total number of other bank business points around the set bank business point are input into the intelligent identification model in parallel, and the intelligent identification model is executed to obtain the predicted value of the number of interactive bank users corresponding to the set bank business point on that day output by the intelligent identification model, including: executing a numerical processing process in the early morning of the same day, inputting the number of each interactive bank user corresponding to each day before the set bank business point, the number of registered bank users of the set bank business point, the floor area of ​​the business area of ​​the set bank business point, the number of business channels of the set bank business point and the total number of other bank business points around the set bank business point in parallel into the intelligent identification model, and executing the intelligent identification model to obtain the predicted value of the number of interactive bank users corresponding to the set bank business point on that day output by the intelligent identification model.

3. The financial transaction management system according to claim 2, characterized in that: The system further comprises: a state monitoring mechanism, connected to the content identification mechanism, the object assembly component, the information parsing component and the data capture component, respectively, for measuring the instantaneous internal heat of each of the content identification mechanism, the object assembly component, the information parsing component and the data capture component; Among them, the state monitoring mechanism is respectively connected with the content identification mechanism, the object component part, the information parsing component and the data capture component, and is used to respectively measure the real-time internal heat of the content identification mechanism, the object component part, the information parsing component and the data capture component. The state monitoring mechanism includes a plurality of heat measurement units, which are respectively connected with the content identification mechanism, the object component part, the information parsing component and the data capture component, so as to complete the respective measurements of the real-time internal heat of the content identification mechanism, the object component part, the information parsing component and the data capture component.

4. The financial transaction management system according to claim 3, characterized in that: The state monitoring mechanism includes a plurality of heat measuring units, which are used to respectively connect with the content identification mechanism, the object component part, the information parsing component and the data capture component to complete the respective measurement of the real-time internal heat of the content identification mechanism, the object component part, the information parsing component and the data capture component. The plurality of heat measuring units are a plurality of heat sensors, which are used to respectively connect with the content identification mechanism, the object component part, the information parsing component and the data capture component to complete the respective measurement of the real-time internal heat of the content identification mechanism, the object component part, the information parsing component and the data capture component.

5. The financial transaction management system according to claim 4, characterized in that: The multiple heat measurement units are multiple heat sensors, which are used to be connected to the content identification mechanism, the object component part, the information analysis component and the data capture component respectively, so as to complete the measurement of the real-time internal heat of the content identification mechanism, the object component part, the information analysis component and the data capture component respectively, including: the internal structures of the multiple heat sensors are the same.

6. The financial transaction management system according to claim 5, characterized in that: The multiple heat measurement units are multiple heat sensors, which are used to connect with the content identification mechanism, the object component part, the information analysis component and the data capture component respectively to complete the measurement of the real-time internal heat of the content identification mechanism, the object component part, the information analysis component and the data capture component respectively, and also include: the multiple heat sensors have the same heat measurement upper limit value and heat measurement lower limit value.

7. The financial transaction management system according to claim 3, characterized in that: The system further comprises: The single-chip microcomputer chip 51 is respectively connected to a plurality of heat measurement units of the content identification mechanism, the object component part, the information analysis component and the data capture component, so as to realize on-site configuration of the real-time working mode of the content identification mechanism, the object component part, the information analysis component and the data capture component.

8. The financial transaction management system according to claim 7, characterized in that: The 51 single-chip microcomputer chip is respectively connected to a plurality of heat measurement units of the content identification mechanism, the object component, the information analysis component and the data capture component, and is used to realize the on-site configuration of the real-time working mode of the content identification mechanism, the object component, the information analysis component and the data capture component, including: the 51 single-chip microcomputer chip is a processor with multiple serial communication interfaces.

9. The financial transaction management system according to claim 7, characterized in that: The 51 single-chip microcomputer chip is respectively connected to a plurality of heat measurement units of the content identification mechanism, the object component, the information analysis component and the data capture component, and is used to realize the on-site configuration of the real-time working mode of the content identification mechanism, the object component, the information analysis component and the data capture component, including: the 51 single-chip microcomputer chip has built-in registers, timers and static storage devices.

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