CN113919738A - Business handling window distribution method and device, electronic equipment and readable storage medium - Google Patents

Business handling window distribution method and device, electronic equipment and readable storage medium Download PDF

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CN113919738A
CN113919738A CN202111261076.6A CN202111261076A CN113919738A CN 113919738 A CN113919738 A CN 113919738A CN 202111261076 A CN202111261076 A CN 202111261076A CN 113919738 A CN113919738 A CN 113919738A
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transaction
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魏文程
钱辉娟
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Ping An Bank Co Ltd
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Ping An Bank Co Ltd
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    • G—PHYSICS
    • G07—CHECKING-DEVICES
    • G07C—TIME OR ATTENDANCE REGISTERS; REGISTERING OR INDICATING THE WORKING OF MACHINES; GENERATING RANDOM NUMBERS; VOTING OR LOTTERY APPARATUS; ARRANGEMENTS, SYSTEMS OR APPARATUS FOR CHECKING NOT PROVIDED FOR ELSEWHERE
    • G07C11/00—Arrangements, systems or apparatus for checking, e.g. the occurrence of a condition, not provided for elsewhere
    • G07C2011/04—Arrangements, systems or apparatus for checking, e.g. the occurrence of a condition, not provided for elsewhere related to queuing systems

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Abstract

The invention relates to a data analysis technology, and discloses a business handling window distribution method, which comprises the following steps: acquiring a service to be managed which is to be pre-filled by a waiting user, and acquiring face and/or identification document information of the waiting user; acquiring the member grade of a waiting user according to the face and/or the identification document information; calculating a waiting priority value of a waiting user by using the member grade and the service to be managed according to a grading rule; calculating the residual transaction duration of each service transaction window; the invention also relates to a block chain technology, and face and/or identification document information and a node of the block chain can be stored with the service to be handled. The invention also provides a business handling window distribution device, electronic equipment and a storage medium. The invention can realize flexible distribution of the business handling windows.

Description

Business handling window distribution method and device, electronic equipment and readable storage medium
Technical Field
The present invention relates to the field of data analysis technologies, and in particular, to a method and an apparatus for allocating a service handling window, an electronic device, and a computer-readable storage medium.
Background
With the increase of the scale of bank users, how to realize the rational distribution of business handling windows is more and more important in order to provide better waiting experience for users and improve the service quality of banks.
The traditional business handling window allocation generally uses a waiting number taking system, and the current waiting number taking system usually processes the business requirements of clients according to the number taking sequence. The processing method does not consider the business handling requirements of core and high-quality clients, and if the high-quality clients are considered and too many member handling channels are introduced, a great deal of network resources are wasted.
Therefore, how to distribute the business transaction windows which are short of banking service network points becomes a problem to be solved urgently.
Disclosure of Invention
The invention provides a method and a device for distributing business handling windows and a computer readable storage medium, and mainly aims to solve the problem that the distribution of business handling window resources is not flexible.
In order to achieve the above object, the present invention provides a method for allocating a service transaction window, comprising:
acquiring a service to be managed which is pre-filled by a waiting user, and acquiring the face and/or identification document information of the waiting user;
acquiring the member grade and the service to be managed of the waiting user according to the face and/or the identification document information;
according to a pre-constructed grading rule, calculating a waiting priority value of the waiting user by using the member grade and the service to be transacted;
calculating the residual transaction duration of each service transaction window;
and distributing service transaction windows for the waiting users according to the remaining transaction duration of each service transaction window and the waiting priority value of the waiting users.
Optionally, the calculating, according to a pre-established scoring rule, a waiting priority score of the waiting user by using the member level and the service to be transacted includes:
acquiring a grade weight corresponding to the member grade according to a preset weight distribution table;
calculating the business weight corresponding to the business to be handled;
and obtaining the waiting priority value of the waiting user according to the service weight and the grade weight.
Optionally, the calculating the service weight corresponding to the service to be handled includes:
acquiring the service types of all services to be managed;
calculating the score of each service category by using a weight distribution algorithm based on a sequence diagram method according to a preset service importance judgment rule;
calculating the score proportion of each service category according to the score of each service category; and obtaining the service category of the service to be managed pre-filled by the waiting user, and taking the score ratio of the service category as the service weight corresponding to the service to be managed.
Optionally, the calculating the remaining transaction duration of each service transaction window includes:
acquiring a first average transaction duration of all services transacted by each service window and acquiring a second average transaction duration of the current service;
calculating estimated transaction duration for handling the current service by using the first average transaction duration and the second average transaction duration according to a preset service transaction duration weight;
and calculating the residual transaction duration by using the current transaction start time and the estimated transaction duration of each transaction window.
Optionally, the calculating an estimated transaction duration for handling the current service according to the preset weight of the service transaction duration by using the first average transaction duration and the second average transaction duration includes:
extracting service handling time lengths of all historical services handled by a current service handling window;
calculating the average time length of the service handling time lengths of all historical services to obtain the first average handling time length;
acquiring the service type of the current service handling window;
extracting the historical handling time of each handling of the service type of the current handling service in the current service handling window;
calculating the time length average value of the service type of the current service handling in the current service handling window according to the historical handling time length to obtain a second average handling time length;
and calculating the estimated transaction duration of the current service according to the service transaction duration weight, the first average transaction duration and the second average transaction duration.
Optionally, the allocating a service transaction window to the waiting user according to the remaining transaction duration of each service transaction window and the waiting priority score of the waiting user includes:
sequencing all the waiting users from high to low according to waiting priority values to generate a waiting user queue;
and when detecting that the remaining transaction duration of any one service transaction window reaches a preset remaining transaction duration threshold, allocating the waiting user with the highest waiting priority value in the waiting user queue to the service transaction window for service transaction.
Optionally, the obtaining the member level of the waiting user according to the face and/or the identification document information includes:
acquiring user account information of the waiting user which is registered in advance according to the face and/or the identification document information;
and acquiring the member grade of the waiting user according to the user account information.
In order to solve the above problem, the present invention further provides a business transaction window allocation apparatus, including:
the system comprises a to-be-handled service information acquisition module, a to-be-handled service acquisition module and a to-be-handled service processing module, wherein the to-be-handled service information acquisition module is used for acquiring a to-be-handled service pre-filled by a waiting user and acquiring the face and/or identification document information of the waiting user; acquiring the member grade of the waiting user according to the face and/or the identification document information;
the waiting priority score calculation module is used for calculating the waiting priority score of the waiting user by utilizing the member grade and the service to be transacted according to a pre-constructed scoring rule;
the business handling window distribution module is used for calculating the residual handling time of each business handling window;
and distributing service transaction windows for the waiting users according to the remaining transaction duration of each service transaction window and the waiting priority value of the waiting users.
In order to solve the above problem, the present invention also provides an electronic device, including:
at least one processor; and
a memory communicatively coupled to the at least one processor; wherein the content of the first and second substances,
the memory stores a computer program executable by the at least one processor to enable the at least one processor to perform the business transaction window allocation method described above.
In order to solve the above problem, the present invention also provides a computer-readable storage medium, in which at least one computer program is stored, the at least one computer program being executed by a processor in an electronic device to implement the business transaction window allocation method described above.
The embodiment of the invention can more accurately judge whether the waiting user is a high-quality or core client by acquiring the personal identity information of the waiting user and further acquiring the member grade and the waiting service of the waiting user by utilizing the personal identity information, and intelligently allocates the service handling window for the waiting user by combining the remaining waiting time of the service handling window and the calculated waiting priority value of the waiting user. Therefore, the business handling window allocation method, the business handling window allocation device, the electronic equipment and the computer readable storage medium can realize flexible allocation of the business handling windows.
Drawings
Fig. 1 is a schematic flow chart of a method for allocating a service transaction window according to an embodiment of the present invention;
FIG. 2 is a functional block diagram of a business transaction window allocation apparatus according to an embodiment of the present invention;
fig. 3 is a schematic structural diagram of an electronic device for implementing the method for allocating a service transaction window according to an embodiment of the present invention.
The implementation, functional features and advantages of the objects of the present invention will be further explained with reference to the accompanying drawings.
Detailed Description
It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
The embodiment of the application provides a business handling window distribution method. The execution subject of the business transaction window allocation method includes, but is not limited to, at least one of the electronic devices of the server, the terminal, and the like, which can be configured to execute the method provided by the embodiment of the present application. In other words, the service transaction window assignment method may be performed by software or hardware installed in the terminal device or the server device, and the software may be a blockchain platform. The server includes but is not limited to: a single server, a server cluster, a cloud server or a cloud server cluster, and the like. The server may be an independent server, or may be a cloud server that provides basic cloud computing services such as a cloud service, a cloud database, cloud computing, a cloud function, cloud storage, a Network service, cloud communication, a middleware service, a domain name service, a security service, a Content Delivery Network (CDN), a big data and artificial intelligence platform, and the like.
Referring to fig. 1, a schematic flow chart of a method for allocating a service transaction window according to an embodiment of the present invention is shown. In this embodiment, the method for allocating the service handling window includes:
s1, acquiring a service to be managed which is pre-filled by a waiting user, and acquiring the face and/or identification document information of the waiting user;
in the embodiment of the invention, the service to be transacted can be a service requirement which is filled in by a user on a number-taking waiting system and/or is filled in by a related person according to the requirement of the user, for example, in the field of banking, a certain user needs to transact a withdrawal service, identity information of the user and specific information related to the withdrawal service can be filled in the number-taking waiting system in detail, and a withdrawal service requirement sheet can be generated in the number-taking waiting system.
In the embodiment of the invention, the number waiting and taking system can be a system for optimizing a queuing mechanism, which is introduced by enterprises to facilitate the transaction of waiting services. For example, in one application example of the present invention, in banking business handling, the number-taking waiting system is generally used to mark a queuing number tag for a business handling waiting user, and when a business handling window calls a certain queuing number tag, the waiting user corresponding to the queuing number tag goes to the business handling window for calling to perform business handling.
In detail, the acquiring the service to be managed pre-filled by the waiting user and the acquiring the face and/or the identification document information of the waiting user include:
extracting the identity document information filled by the user from the pre-filled business to be managed; and/or
And acquiring the face of the waiting user through a camera device of the waiting number taking system to obtain the face information of the waiting user.
S2, acquiring the member grade of the waiting user according to the face and/or the identification document information;
in the embodiment of the invention, the member can be a general name of all clients who have profits to and from the enterprise and are named in the enterprise client system through the personal identity information, and the member grade can be a grade for evaluating the member in the enterprise client system through a pre-constructed member evaluation rule in the enterprise. For example, in the field of bank cards issued by banks, users generally perform level evaluation on deposit values in banks, and if the deposit values of the clients reach a member level evaluation threshold, corresponding member level cards are issued to the clients. Specifically, the obtaining the member level of the waiting user according to the face and/or the identification document information includes:
acquiring user account information of the waiting user which is registered in advance according to the face and/or the identification document information;
and acquiring the member grade of the waiting user according to the user account information.
S3, calculating a waiting priority score of the waiting user by using the member grade and the service to be transacted according to a pre-constructed scoring rule;
in the embodiment of the invention, the pre-constructed scoring rule can be a rule for evaluating the business handling priority of a client according to relevant indexes of the client when the client under an enterprise queues up for business handling. For example, a customer may need to transact loan transactions at a bank, and the customer's age, monthly salary, and family conditions may be scored to determine the customer's estimated loan amount.
In detail, the calculating the waiting priority score of the waiting user according to the pre-constructed scoring rule by using the member level and the service to be transacted includes:
acquiring a grade weight corresponding to the member grade according to a preset weight distribution table;
calculating the business weight corresponding to the business to be handled;
and obtaining the waiting priority value of the waiting user according to the service weight and the grade weight.
Further, the calculating the service weight corresponding to the service to be transacted includes:
acquiring the service types of all services to be managed;
calculating the score of each service category by using a weight distribution algorithm based on a sequence diagram method according to a preset service importance judgment rule;
calculating the score proportion of each service category according to the score of each service category;
and obtaining the service category of the service to be managed pre-filled by the waiting user, and taking the score ratio of the service category as the service weight corresponding to the service to be managed.
In the embodiment of the invention, the weight distribution algorithm based on the sequence diagram method is an algorithm for distributing the initial weight value of the index according to the importance of the index, wherein the sequence diagram method utilizes the index category to construct a weight distribution table, and utilizes the associated weight between the two indexes to calculate the final weight of each index.
S4, calculating the remaining transaction duration of each service transaction window;
in the embodiment of the present invention, the remaining transaction duration may be a remaining time required for completing the transaction in a service window when the service window performs the service transaction of the client, and the remaining time is displayed to the client above the service transaction window, for example, when the service transaction window performs the service of a certain client, the remaining transaction duration obtained according to the calculation is 1 minute, and the remaining transaction duration is displayed above the service transaction window in 1 minute.
Specifically, the calculating the remaining transaction duration of each service transaction window includes:
acquiring a first average transaction duration of all services transacted by each service window and acquiring a second average transaction duration of the current service;
calculating estimated transaction duration for handling the current service by using the first average transaction duration and the second average transaction duration according to a preset service transaction duration weight;
and calculating the residual transaction duration by using the current transaction start time and the estimated transaction duration of each transaction window.
In detail, the embodiment of the invention adopts the following formula to calculate the estimated transaction duration for transacting the current service:
TAvg＝T1*40％+T2*60％；
wherein, TAvgTo estimate the transaction duration, T1For the first average transaction duration, T2For the second average transaction duration, 40% and 60% are respectively the first average transaction duration T1And a second average transaction duration T2The weight of (c).
Further, calculating the pre-estimated transaction duration of the current service by using the first average transaction duration and the second average transaction duration according to the preset service transaction duration weight, and the method comprises the following steps:
extracting service handling time lengths of all historical services handled by a current service handling window;
calculating the average time length of the service handling time lengths of all historical services to obtain the first average handling time length;
acquiring the service type of the current service handling window;
extracting the historical handling time of each handling of the service type of the current handling service in the current service handling window;
calculating the time length average value of the service type of the current service handling in the current service handling window according to the historical handling time length to obtain a second average handling time length;
and calculating the estimated transaction duration of the current service according to the service transaction duration weight, the first average transaction duration and the second average transaction duration.
And S5, distributing the business transaction windows for the waiting users according to the remaining transaction duration of each business transaction window and the waiting priority value of the waiting users.
In the embodiment of the invention, all waiting users are sequenced from high to low according to waiting priority values to generate a waiting user queue; and when detecting that the remaining transaction duration of any one service transaction window reaches a preset remaining transaction duration threshold, allocating the waiting user with the highest waiting priority value in the waiting user queue to the service transaction window for service transaction.
The embodiment of the invention can more accurately judge whether the waiting user is a high-quality or core client by acquiring the personal identity information of the waiting user and further acquiring the member grade and the waiting service of the waiting user by utilizing the personal identity information, and intelligently allocates the service handling window for the waiting user by combining the remaining waiting time of the service handling window and the calculated waiting priority value of the waiting user. Therefore, the business handling window distribution method provided by the invention can realize flexible distribution of business handling windows.
Fig. 2 is a functional block diagram of a service transaction window assignment apparatus according to an embodiment of the present invention.
The business transaction window allocation apparatus 100 according to the present invention may be installed in an electronic device. According to the realized functions, the business transaction window allocation apparatus 100 may include a to-be-transacted business information obtaining module 101, a waiting priority score calculating module 102, and a business transaction window allocation module 103. The module of the present invention, which may also be referred to as a unit, refers to a series of computer program segments that can be executed by a processor of an electronic device and that can perform a fixed function, and that are stored in a memory of the electronic device.
In the present embodiment, the functions regarding the respective modules/units are as follows:
the to-be-transacted business information acquisition module 101 is configured to acquire a to-be-transacted business pre-filled by a waiting user, acquire face and/or identification document information of the waiting user, and acquire a member level of the waiting user according to the face and/or identification document information;
in the embodiment of the invention, the number waiting and taking system can be a system for optimizing a queuing mechanism, which is introduced by enterprises to facilitate the transaction of waiting services. For example, in one application example of the present invention, in banking business handling, the number-taking waiting system is generally used to mark a queuing number tag for a business handling waiting user, and when a business handling window calls a certain queuing number tag, the waiting user corresponding to the queuing number tag goes to the business handling window for calling to perform business handling.
In the embodiment of the invention, the service to be transacted can be a service requirement which is filled in by a user on a number-taking waiting system and/or is filled in by a related person according to the requirement of the user, for example, in the field of banking, a certain user needs to transact a withdrawal service, identity information of the user and specific information related to the withdrawal service can be filled in the number-taking waiting system in detail, and a withdrawal service requirement sheet can be generated in the number-taking waiting system.
In detail, the acquiring the service to be managed pre-filled by the waiting user and the acquiring the face and/or the identification document information of the waiting user include:
extracting the identity document information filled by the user from the pre-filled business to be managed; and/or
And acquiring the face of the waiting user through a camera device of the waiting number taking system to obtain the face information of the waiting user.
Further, in the embodiment of the present invention, the member may be a general name of all clients who have profits from the enterprise and who are named in the enterprise client system through the personal identity information, and the member level may be a level for evaluating the member in the enterprise client system through a pre-established member evaluation rule in the enterprise, for example, in a bank card field issued by a bank, the member level is generally evaluated through a deposit value of the user in the bank, and if the deposit value of the client reaches a member level evaluation threshold, the corresponding member level card is issued to the client, and in the bank field, the member level cards such as a black card, a diamond card, a platinum card, a gold card, and the like are generally owned by the member.
Specifically, the obtaining the member level of the waiting user according to the face and/or the identification document information includes:
acquiring user account information of the waiting user which is registered in advance according to the face and/or the identification document information;
and acquiring the member grade of the waiting user according to the user account information.
The waiting priority score calculation module 102 is configured to calculate a waiting priority score of the waiting user according to a pre-established scoring rule by using the member level and the service to be transacted;
in the embodiment of the invention, the pre-constructed scoring rule can be a rule for evaluating the business handling priority of a client according to relevant indexes of the client when the client under an enterprise queues up for business handling. For example, a customer may need to transact loan transactions at a bank, and the customer's age, monthly salary, and family conditions may be scored to determine the customer's estimated loan amount.
In detail, the calculating the waiting priority score of the waiting user according to the pre-constructed scoring rule by using the member level and the service to be transacted includes:
acquiring a grade weight corresponding to the member grade according to a preset weight distribution table;
calculating the business weight corresponding to the business to be handled;
and obtaining the waiting priority value of the waiting user according to the service weight and the grade weight.
Further, the calculating the service weight corresponding to the service to be transacted includes:
acquiring the service types of all services to be managed;
calculating the score of each service category by using a weight distribution algorithm based on a sequence diagram method according to a preset service importance judgment rule;
calculating the score proportion of each service category according to the score of each service category;
and obtaining the service category of the service to be managed pre-filled by the waiting user, and taking the score ratio of the service category as the service weight corresponding to the service to be managed.
In the embodiment of the invention, the weight distribution algorithm based on the sequence diagram method is an algorithm for distributing the initial weight value of the index according to the importance of the index, wherein the sequence diagram method utilizes the index category to construct a weight distribution table, and utilizes the associated weight between the two indexes to calculate the final weight of each index.
The business handling window allocation module 103 is used for calculating the remaining handling duration of each business handling window; and distributing service transaction windows for the waiting users according to the remaining transaction duration of each service transaction window and the waiting priority value of the waiting users.
In the embodiment of the present invention, the remaining transaction duration may be a remaining time required for completing the transaction in a service window when the service window performs the service transaction of the client, and the remaining time is displayed to the client above the service transaction window, for example, when the service transaction window performs the service of a certain client, the remaining transaction duration obtained according to the calculation is 1 minute, and the remaining transaction duration is displayed above the service transaction window in 1 minute.
Specifically, the calculating the remaining transaction duration of each service transaction window includes:
acquiring a first average transaction duration of all services transacted by each service window and acquiring a second average transaction duration of the current service;
calculating estimated transaction duration for handling the current service by using the first average transaction duration and the second average transaction duration according to a preset service transaction duration weight;
and calculating the residual transaction duration by using the current transaction start time and the estimated transaction duration of each transaction window.
In detail, the embodiment of the invention adopts the following formula to calculate the estimated transaction duration for transacting the current service:
TAvg＝T1*40％+T2*60％；
wherein, TAvgTo estimate the transaction duration, T1For the first average transaction duration，T2For the second average transaction duration, 40% and 60% are respectively the first average transaction duration T1And a second average transaction duration T2The weight of (c).
Further, calculating the pre-estimated transaction duration of the current service by using the first average transaction duration and the second average transaction duration according to the preset service transaction duration weight, and the method comprises the following steps:
extracting service handling time lengths of all historical services handled by a current service handling window;
calculating the average time length of the service handling time lengths of all historical services to obtain the first average handling time length;
acquiring the service type of the current service handling window;
extracting the historical handling time of each handling of the service type of the current handling service in the current service handling window;
calculating the time length average value of the service type of the current service handling in the current service handling window according to the historical handling time length to obtain a second average handling time length;
and calculating the estimated transaction duration of the current service according to the service transaction duration weight, the first average transaction duration and the second average transaction duration.
In the embodiment of the invention, all waiting users are sequenced from high to low according to waiting priority values to generate a waiting user queue; and when detecting that the remaining transaction duration of any one service transaction window reaches a preset remaining transaction duration threshold, allocating the waiting user with the highest waiting priority value in the waiting user queue to the service transaction window for service transaction.
Fig. 3 is a schematic structural diagram of an electronic device for implementing a method for allocating a service transaction window according to an embodiment of the present invention.
The electronic device 1 may comprise a processor 10, a memory 11, a communication bus 12 and a communication interface 13, and may further comprise a computer program, such as a business transaction window assignment program, stored in the memory 11 and executable on the processor 10.
In some embodiments, the processor 10 may be composed of an integrated circuit, for example, a single packaged integrated circuit, or may be composed of a plurality of integrated circuits packaged with the same function or different functions, and includes one or more Central Processing Units (CPUs), a microprocessor, a digital Processing chip, a graphics processor, a combination of various control chips, and the like. The processor 10 is a Control Unit (Control Unit) of the electronic device, connects various components of the electronic device by using various interfaces and lines, and executes various functions and processes data of the electronic device by running or executing programs or modules (e.g., executing a business transaction window assignment program, etc.) stored in the memory 11 and calling data stored in the memory 11.
The memory 11 includes at least one type of readable storage medium including flash memory, removable hard disks, multimedia cards, card-type memory (e.g., SD or DX memory, etc.), magnetic memory, magnetic disks, optical disks, etc. The memory 11 may in some embodiments be an internal storage unit of the electronic device, for example a removable hard disk of the electronic device. The memory 11 may also be an external storage device of the electronic device in other embodiments, such as a plug-in mobile hard disk, a Smart Media Card (SMC), a Secure Digital (SD) Card, a Flash memory Card (Flash Card), and the like, which are provided on the electronic device. Further, the memory 11 may also include both an internal storage unit and an external storage device of the electronic device. The memory 11 may be used not only to store application software installed in the electronic device and various types of data, such as codes of business transaction window assignment programs, etc., but also to temporarily store data that has been output or is to be output.
The communication bus 12 may be a Peripheral Component Interconnect (PCI) bus or an Extended Industry Standard Architecture (EISA) bus. The bus may be divided into an address bus, a data bus, a control bus, etc. The bus is arranged to enable connection communication between the memory 11 and at least one processor 10 or the like.
The communication interface 13 is used for communication between the electronic device and other devices, and includes a network interface and a user interface. Optionally, the network interface may include a wired interface and/or a wireless interface (e.g., WI-FI interface, bluetooth interface, etc.), which are typically used to establish a communication connection between the electronic device and other electronic devices. The user interface may be a Display (Display), an input unit such as a Keyboard (Keyboard), and optionally a standard wired interface, a wireless interface. Alternatively, in some embodiments, the display may be an LED display, a liquid crystal display, a touch-sensitive liquid crystal display, an OLED (Organic Light-Emitting Diode) touch device, or the like. The display, which may also be referred to as a display screen or display unit, is suitable, among other things, for displaying information processed in the electronic device and for displaying a visualized user interface.
Fig. 3 shows only an electronic device with components, and it will be understood by those skilled in the art that the structure shown in fig. 3 does not constitute a limitation of the electronic device 1, and may comprise fewer or more components than those shown, or some components may be combined, or a different arrangement of components.
For example, although not shown, the electronic device may further include a power supply (such as a battery) for supplying power to each component, and preferably, the power supply may be logically connected to the at least one processor 10 through a power management device, so that functions of charge management, discharge management, power consumption management and the like are realized through the power management device. The power supply may also include any component of one or more dc or ac power sources, recharging devices, power failure detection circuitry, power converters or inverters, power status indicators, and the like. The electronic device may further include various sensors, a bluetooth module, a Wi-Fi module, and the like, which are not described herein again.
It is to be understood that the described embodiments are for purposes of illustration only and that the scope of the appended claims is not limited to such structures.
The transaction window allocation program stored in the memory 11 of the electronic device 1 is a combination of instructions that, when executed in the processor 10, enable:
acquiring a service to be managed which is pre-filled by a waiting user, and acquiring the face and/or identification document information of the waiting user;
acquiring the member grade of the waiting user according to the face and/or the identification document information;
according to a pre-constructed grading rule, calculating a waiting priority value of the waiting user by using the member grade and the service to be transacted;
calculating the residual transaction duration of each service transaction window;
and distributing service transaction windows for the waiting users according to the remaining transaction duration of each service transaction window and the waiting priority value of the waiting users.
Specifically, the specific implementation method of the instruction by the processor 10 may refer to the description of the relevant steps in the embodiment corresponding to the drawings, which is not described herein again.
Further, the integrated modules/units of the electronic device 1, if implemented in the form of software functional units and sold or used as separate products, may be stored in a computer readable storage medium. The computer readable storage medium may be volatile or non-volatile. For example, the computer-readable medium may include: any entity or device capable of carrying said computer program code, recording medium, U-disk, removable hard disk, magnetic disk, optical disk, computer Memory, Read-Only Memory (ROM).
The present invention also provides a computer-readable storage medium, storing a computer program which, when executed by a processor of an electronic device, may implement:
acquiring a service to be managed which is pre-filled by a waiting user, and acquiring the face and/or identification document information of the waiting user;
acquiring the member grade of the waiting user according to the face and/or the identification document information;
according to a pre-constructed grading rule, calculating a waiting priority value of the waiting user by using the member grade and the service to be transacted;
calculating the residual transaction duration of each service transaction window;
and distributing service transaction windows for the waiting users according to the remaining transaction duration of each service transaction window and the waiting priority value of the waiting users.
In the embodiments provided in the present invention, it should be understood that the disclosed apparatus, device and method can be implemented in other ways. For example, the above-described apparatus embodiments are merely illustrative, and for example, the division of the modules is only one logical functional division, and other divisions may be realized in practice.
The modules described as separate parts may or may not be physically separate, and parts displayed as modules may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of the present embodiment.
In addition, functional modules in the embodiments of the present invention may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, or in a form of hardware plus a software functional module.
It will be evident to those skilled in the art that the invention is not limited to the details of the foregoing illustrative embodiments, and that the present invention may be embodied in other specific forms without departing from the spirit or essential attributes thereof.
The present embodiments are therefore to be considered in all respects as illustrative and not restrictive, the scope of the invention being indicated by the appended claims rather than by the foregoing description, and all changes which come within the meaning and range of equivalency of the claims are therefore intended to be embraced therein. Any reference signs in the claims shall not be construed as limiting the claim concerned.
The block chain is a novel application mode of computer technologies such as distributed data storage, point-to-point transmission, a consensus mechanism, an encryption algorithm and the like. A block chain (Blockchain), which is essentially a decentralized database, is a series of data blocks associated by using a cryptographic method, and each data block contains information of a batch of network transactions, so as to verify the validity (anti-counterfeiting) of the information and generate a next block. The blockchain may include a blockchain underlying platform, a platform product service layer, an application service layer, and the like.
The embodiment of the application can acquire and process related data based on an artificial intelligence technology. Among them, Artificial Intelligence (AI) is a theory, method, technique and application system that simulates, extends and expands human Intelligence using a digital computer or a machine controlled by a digital computer, senses the environment, acquires knowledge and uses the knowledge to obtain the best result.
Furthermore, it is obvious that the word "comprising" does not exclude other elements or steps, and the singular does not exclude the plural. A plurality of units or means recited in the system claims may also be implemented by one unit or means in software or hardware. The terms first, second, etc. are used to denote names, but not any particular order.
Finally, it should be noted that the above embodiments are only for illustrating the technical solutions of the present invention and not for limiting, and although the present invention is described in detail with reference to the preferred embodiments, it should be understood by those skilled in the art that modifications or equivalent substitutions may be made on the technical solutions of the present invention without departing from the spirit and scope of the technical solutions of the present invention.

Claims (10)

1. A method for assigning business transaction windows, the method comprising:
acquiring a service to be managed which is pre-filled by a waiting user, and acquiring the face and/or identification document information of the waiting user;
acquiring the member grade of the waiting user according to the face and/or the identification document information;
according to a pre-constructed grading rule, calculating a waiting priority value of the waiting user by using the member grade and the service to be transacted;
calculating the residual transaction duration of each service transaction window;
and distributing service transaction windows for the waiting users according to the remaining transaction duration of each service transaction window and the waiting priority value of the waiting users.
2. The business transaction window allocation method of claim 1, wherein the calculating of the waiting priority score of the waiting user using the member level and the business to be transacted according to the pre-constructed scoring rules comprises:
acquiring a grade weight corresponding to the member grade according to a preset weight distribution table;
calculating the business weight corresponding to the business to be handled;
and obtaining the waiting priority value of the waiting user according to the service weight and the grade weight.
3. The method for allocating transaction windows according to claim 2, wherein the calculating the business weight corresponding to the to-be-transacted business comprises:
acquiring the service types of all services to be managed;
calculating the score of each service category by using a weight distribution algorithm based on a sequence diagram method according to a preset service importance judgment rule;
calculating the score proportion of each service category according to the score of each service category;
and obtaining the service category of the service to be managed pre-filled by the waiting user, and taking the score ratio of the service category as the service weight corresponding to the service to be managed.
4. The business transaction window allocation method of claim 1, wherein said calculating the remaining transaction duration for each business transaction window comprises:
acquiring a first average transaction duration of all services transacted by each service window and acquiring a second average transaction duration of the current service;
calculating estimated transaction duration for handling the current service by using the first average transaction duration and the second average transaction duration according to a preset service transaction duration weight;
and calculating the residual transaction duration by using the current transaction start time and the estimated transaction duration of each transaction window.
5. The method for allocating the service transaction windows according to claim 4, wherein the calculating the estimated transaction duration for handling the current service according to the preset weight of the service transaction duration by using the first average transaction duration and the second average transaction duration comprises:
extracting service handling time lengths of all historical services handled by a current service handling window;
calculating the average time length of the service handling time lengths of all historical services to obtain the first average handling time length;
acquiring the service type of the current service handling window;
extracting the historical handling time of each handling of the service type of the current handling service in the current service handling window;
calculating the time length average value of the service type of the current service handling in the current service handling window according to the historical handling time length to obtain a second average handling time length;
and calculating the estimated transaction duration of the current service according to the service transaction duration weight, the first average transaction duration and the second average transaction duration.
6. The method for allocating service transaction windows according to claim 1, wherein the allocating service transaction windows to the waiting users according to the remaining transaction duration of each service transaction window and the waiting priority score of the waiting user comprises:
sequencing all the waiting users from high to low according to waiting priority values to generate a waiting user queue;
and when detecting that the remaining transaction duration of any one service transaction window reaches a preset remaining transaction duration threshold, allocating the waiting user with the highest waiting priority value in the waiting user queue to the service transaction window for service transaction.
7. The method for allocating transaction windows according to claim 1, wherein the obtaining the member level of the waiting user according to the face and/or identification document information comprises:
acquiring user account information of the waiting user which is registered in advance according to the face and/or the identification document information;
and acquiring the member grade of the waiting user according to the user account information.
8. A business transaction window assignment device, the device comprising:
the system comprises a to-be-handled service information acquisition module, a to-be-handled service acquisition module and a to-be-handled service processing module, wherein the to-be-handled service information acquisition module is used for acquiring a to-be-handled service pre-filled by a waiting user and acquiring the face and/or identification document information of the waiting user; acquiring the member grade of the waiting user according to the face and/or the identification document information;
the waiting priority score calculation module is used for calculating the waiting priority score of the waiting user by utilizing the member grade and the service to be transacted according to a pre-constructed scoring rule;
the business handling window distribution module is used for calculating the residual handling time of each business handling window; and distributing service transaction windows for the waiting users according to the remaining transaction duration of each service transaction window and the waiting priority value of the waiting users.
9. An electronic device, characterized in that the electronic device comprises:
at least one processor; and the number of the first and second groups,
a memory communicatively coupled to the at least one processor; wherein the content of the first and second substances,
the memory stores a computer program executable by the at least one processor to enable the at least one processor to perform a business transaction window allocation method according to any one of claims 1 to 7.
10. A computer-readable storage medium, storing a computer program, wherein the computer program, when executed by a processor, implements a business transaction window allocation method according to any one of claims 1 to 7.
CN202111261076.6A 2021-10-28 2021-10-28 Business handling window distribution method and device, electronic equipment and readable storage medium Pending CN113919738A (en)

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Cited By (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN114912793A (en) * 2022-05-11 2022-08-16 中国银行股份有限公司 Business handling method and device, electronic equipment and computer storage medium
CN115394003A (en) * 2022-08-26 2022-11-25 中国工商银行股份有限公司 Service handling time length estimation method, device, equipment, storage medium and product
CN116757456A (en) * 2023-08-21 2023-09-15 上海银行股份有限公司 BFS-based banking process visual management system and method
CN115394003B (en) * 2022-08-26 2024-06-04 中国工商银行股份有限公司 Method, device, equipment, storage medium and product for estimating service handling duration

Cited By (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN114912793A (en) * 2022-05-11 2022-08-16 中国银行股份有限公司 Business handling method and device, electronic equipment and computer storage medium
CN115394003A (en) * 2022-08-26 2022-11-25 中国工商银行股份有限公司 Service handling time length estimation method, device, equipment, storage medium and product
CN115394003B (en) * 2022-08-26 2024-06-04 中国工商银行股份有限公司 Method, device, equipment, storage medium and product for estimating service handling duration
CN116757456A (en) * 2023-08-21 2023-09-15 上海银行股份有限公司 BFS-based banking process visual management system and method
CN116757456B (en) * 2023-08-21 2023-11-03 上海银行股份有限公司 BFS-based banking process visual management system and method

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