CN113888149A - Intelligent payment information uploading method and system based on block chain service - Google Patents

Abstract

The embodiment of the invention provides an intelligent payment information uploading method and system based on block chain service, wherein the information of a to-be-uploaded historical bill clustering unit is generated by acquiring payment operation bill generation information of an intelligent payment distribution operation assembly to be uploaded and according to the payment operation bill generation information and information of an uploaded historical bill clustering unit corresponding to the to-be-uploaded intelligent payment distribution operation assembly, and then a clustering distribution node of a to-be-uploaded historical bill clustering unit parameter list in the intelligent payment distribution operation assembly is determined according to the information of the to-be-uploaded historical bill clustering unit, so that uploading distribution parameters of the intelligent payment distribution operation assembly are generated. Therefore, the processing condition of each historical bill clustering unit is distinguished according to the payment operation bill generation information, so that the data analysis efficiency is improved, and the time cost of the intelligent payment distribution operation assembly is reduced.

Description

Intelligent payment information uploading method and system based on block chain service

Technical Field

The invention relates to the technical field of computer data processing, in particular to an intelligent payment information uploading method and system based on block chain service.

Background

At present, in the data process of the intelligent payment distribution operation assembly, the data analysis efficiency is low, and the time cost of the intelligent payment distribution operation assembly is increased.

Disclosure of Invention

In view of this, an object of the embodiments of the present invention is to provide an intelligent payment information uploading method and system based on a blockchain service, which consider that the processing condition of each historical bill clustering unit is distinguished according to payment operation bill generation information, so as to improve data analysis efficiency and reduce time cost for intelligent payment distribution operation components.

According to an aspect of an embodiment of the present invention, there is provided an intelligent payment information uploading method based on a blockchain service, which is applied to a server, and the method includes:

acquiring payment operation bill generation information of the intelligent payment distribution operation component to be uploaded;

generating information of a historical bill clustering unit to be uploaded according to the payment operation bill generation information and information of an uploaded historical bill clustering unit corresponding to the intelligent payment distribution operation component to be uploaded, wherein the information of the uploaded historical bill clustering unit comprises a parameter list of the uploaded historical bill clustering unit and a corresponding clustering distribution node, and the information of the historical bill clustering unit to be uploaded comprises a parameter list of the historical bill clustering unit to be uploaded and a corresponding clustering distribution node;

determining cluster distribution nodes of the uploaded historical bill clustering unit parameter list in the intelligent payment distribution operation assembly according to the information of the uploaded historical bill clustering unit, and determining cluster distribution nodes of the uploaded historical bill clustering unit parameter list in the intelligent payment distribution operation assembly according to the information of the to-be-uploaded historical bill clustering unit;

and generating the uploading distribution parameters of the intelligent payment distribution operation assembly in the cluster distribution nodes of the intelligent payment distribution operation assembly according to the uploaded historical bill cluster unit parameter list and the to-be-uploaded historical bill cluster unit parameter list.

In a possible example, the step of generating information of the historical bill clustering unit to be uploaded according to the payment operation bill generation information and the information of the uploaded historical bill clustering unit corresponding to the intelligent payment distribution operation component to be uploaded comprises:

extracting bill elements from the payment operation bill generation information to obtain a bill element list;

bill element extraction is carried out on the information of the uploaded historical bill clustering unit, and the historical bill clustering unit characteristics of the uploaded historical bill clustering unit are obtained;

and inputting the bill element list and the characteristics of the historical bill clustering units of the uploaded historical bill clustering units into a pre-configured target model to obtain the information of the historical bill clustering units to be uploaded.

In a possible example, the step of generating information of the historical bill clustering unit to be uploaded according to the payment operation bill generation information and the information of the uploaded historical bill clustering unit corresponding to the intelligent payment distribution operation component to be uploaded further includes:

and the information of the historical bill clustering unit to be uploaded, which is output by the target model this time, is subjected to bill element extraction to obtain the historical bill clustering unit characteristics, and the bill element list is input into the target model to obtain the information of the historical bill clustering unit to be uploaded, which is output by the target model this time, until the target model outputs the information of the last historical bill clustering unit.

In a possible example, the step of generating information of the historical bill clustering unit to be uploaded according to the payment operation bill generation information and the information of the uploaded historical bill clustering unit corresponding to the intelligent payment distribution operation component to be uploaded further includes:

obtaining sample payment operation bill generation information of a target intelligent payment distribution operation component for adjusting parameters and each configured historical bill clustering unit corresponding to the target intelligent payment distribution operation component;

generating information of each configured historical bill clustering unit according to a clustering distribution node of each configured historical bill clustering unit in the target intelligent payment distribution operation assembly and a parameter list of each configured historical bill clustering unit;

arranging the characteristic sequences of the historical bill clustering units extracted from the information of each configured historical bill clustering unit to obtain a configured data list; the method comprises the steps that the characteristic of a historical bill clustering unit extracted from information of a preset starting historical bill clustering unit is located at the front end of a configuration data list, and the characteristic of a historical bill clustering unit extracted from information of a preset ending historical bill clustering unit is located at the tail end of the configuration data list;

and configuring the target model according to a bill element list extracted from the sample payment operation bill generation information and the characteristics of each historical bill clustering unit in the configuration data list, so as to learn to obtain a corresponding relation between the bill element list, the combination of the characteristics of the historical bill clustering units in the configuration data list and the information for configuring the historical bill clustering units.

In one possible example, the step of extracting the bill element from the payment operation bill generation information to obtain a bill element list includes:

generating a calling access element list according to each historical bill clustering unit node in the payment operation bill generation information, wherein the historical bill clustering unit in the calling access element list is used for indicating a feature vector of the corresponding historical bill clustering unit node in the payment operation bill generation information;

and carrying out bill element extraction on the calling access element list to obtain the bill element list.

According to another aspect of the embodiments of the present invention, there is provided an intelligent payment information uploading system based on a blockchain service, which is applied to a server, the system including:

the acquisition module is used for acquiring payment operation bill generation information of the intelligent payment distribution operation component to be uploaded;

the first generation module is used for generating information of a historical bill clustering unit to be uploaded according to the payment operation bill generation information and information of an uploaded historical bill clustering unit corresponding to the intelligent payment distribution operation component to be uploaded, wherein the information of the uploaded historical bill clustering unit comprises a parameter list of the uploaded historical bill clustering unit and corresponding clustering distribution nodes, and the information of the historical bill clustering unit to be uploaded comprises a parameter list of the historical bill clustering unit to be uploaded and corresponding clustering distribution nodes;

the determining module is used for determining cluster distribution nodes of the uploaded historical bill clustering unit parameter list in the intelligent payment distribution operation assembly according to the information of the uploaded historical bill clustering unit, and determining cluster distribution nodes of the uploaded historical bill clustering unit parameter list in the intelligent payment distribution operation assembly according to the information of the to-be-uploaded historical bill clustering unit;

and the second generation module is used for generating the uploading distribution parameters of the intelligent payment distribution operation assembly in the cluster distribution nodes of the intelligent payment distribution operation assembly according to the uploaded historical bill cluster unit parameter list and the to-be-uploaded historical bill cluster unit parameter list.

According to another aspect of the embodiments of the present invention, a readable storage medium is provided, where a computer program is stored on the readable storage medium, and the computer program, when executed by a processor, may perform the steps of the above-mentioned intelligent payment information uploading method based on a blockchain service.

Compared with the prior art, the method and the system for uploading intelligent payment information based on block chain service provided by the embodiment of the invention generate information of a to-be-uploaded historical bill clustering unit by acquiring payment operation bill generation information of an intelligent payment distribution operation component to be uploaded, and according to the payment operation bill generation information and information of an uploaded historical bill clustering unit corresponding to the to-be-uploaded intelligent payment distribution operation component, then determine a clustering distribution node of an uploaded historical bill clustering unit parameter list in the intelligent payment distribution operation component according to the information of the uploaded historical bill clustering unit, and determine a clustering distribution node of the to-be-uploaded historical bill clustering unit parameter list in the intelligent payment distribution operation component according to the information of the to-be-uploaded historical bill clustering unit, so as to obtain a clustering distribution node of the to-be-uploaded historical bill clustering unit parameter list in the intelligent payment distribution operation component according to the uploaded historical bill clustering distribution unit parameter list, and generating the uploading distribution parameters of the intelligent payment distribution operation assembly in the clustering distribution nodes in the intelligent payment distribution operation assembly by using the historical bill clustering unit parameter list to be uploaded. Therefore, the processing condition of each historical bill clustering unit is distinguished according to the payment operation bill generation information, so that the data analysis efficiency is improved, and the time cost of the intelligent payment distribution operation assembly is reduced.

In order to make the aforementioned objects, features and advantages of the embodiments of the present invention comprehensible, embodiments accompanied with figures are described in detail below.

Drawings

In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings needed to be used in the embodiments will be briefly described below, it should be understood that the following drawings only illustrate some embodiments of the present invention and therefore should not be considered as limiting the scope, and for those skilled in the art, other related drawings can be obtained according to the drawings without inventive efforts.

FIG. 1 illustrates a component diagram of a server provided by an embodiment of the invention;

fig. 2 is a schematic flowchart illustrating an intelligent payment information uploading method based on a blockchain service according to an embodiment of the present invention;

fig. 3 shows a functional block diagram of an intelligent payment information uploading system based on a blockchain service according to an embodiment of the present invention.

Detailed Description

In order to make the technical solutions of the present invention better understood by the scholars in the technical field, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.

The terms "first," "second," "third," and the like in the description and in the claims, as well as in the drawings, if any, are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used is interchangeable under appropriate circumstances such that the embodiments of the invention described herein are, for example, capable of operation in sequences other than those illustrated or otherwise described herein. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed, but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.

Fig. 1 shows an exemplary component schematic of a server 100. The server 100 may include one or more processors 104, such as one or more Central Processing Units (CPUs), each of which may implement one or more hardware threads. The server 100 may also include any storage media 106 for storing any kind of information, such as code, settings, data, etc. For example, and without limitation, storage medium 106 may include any one or more of the following in combination: any type of RAM, any type of ROM, flash memory devices, hard disks, optical disks, etc. More generally, any storage medium may use any technology to store information. Further, any storage medium may provide volatile or non-volatile retention of information. Further, any storage medium may represent a fixed or removable component of server 100. In one case, when the processor 104 executes the associated instructions stored in any storage medium or combination of storage media, the server 100 may perform any of the operations of the associated instructions. The server 100 further comprises one or more drive units 108 for interacting with any storage medium, such as a hard disk drive unit, an optical disk drive unit, etc.

The server 100 also includes input/output 110 (I/O) for receiving various inputs (via input unit 112) and for providing various outputs (via output unit 114)). One particular output mechanism may include a presentation device 116 and an associated Graphical User Interface (GUI) 118. The server 100 may also include one or more network interfaces 120 for exchanging data with other devices via one or more communication units 122. One or more communication buses 124 couple the above-described components together.

The communication unit 122 may be implemented in any manner, such as over a local area network, a wide area network (e.g., the internet), a point-to-point connection, etc., or any combination thereof. The communication unit 122 may include any combination of hardwired links, wireless links, routers, gateway functions, name servers 100, and so forth, governed by any protocol or combination of protocols.

Fig. 2 is a flowchart illustrating an intelligent payment information uploading method based on a blockchain service according to an embodiment of the present invention, where the method may be performed by the server 100 shown in fig. 1, and the detailed steps of the method are described as follows.

And step S110, obtaining payment operation bill generation information of the intelligent payment distribution operation component to be uploaded.

And step S120, generating information of a historical bill clustering unit to be uploaded according to the generated information of the payment operation bill and information of an uploaded historical bill clustering unit corresponding to the intelligent payment distribution operation component to be uploaded, wherein the information of the uploaded historical bill clustering unit comprises a parameter list of the uploaded historical bill clustering unit and a corresponding clustering distribution node, and the information of the historical bill clustering unit to be uploaded comprises a parameter list of the historical bill clustering unit to be uploaded and a corresponding clustering distribution node.

Step S130, determining cluster distribution nodes of the uploaded historical bill cluster unit parameter list in the intelligent payment distribution operation assembly according to the information of the uploaded historical bill cluster unit, and determining cluster distribution nodes of the uploaded historical bill cluster unit parameter list in the intelligent payment distribution operation assembly according to the information of the to-be-uploaded historical bill cluster unit.

Step S140, generating uploading distribution parameters of the intelligent payment distribution operation assembly in clustering distribution nodes of the intelligent payment distribution operation assembly according to the uploaded historical bill clustering unit parameter list and the historical bill clustering unit parameter list to be uploaded.

Based on the above steps, in this embodiment, the information of the historical bill clustering unit to be uploaded is generated by obtaining the payment operation bill generation information of the intelligent payment distribution operation component to be uploaded, and according to the payment operation bill generation information and the information of the uploaded historical bill clustering unit corresponding to the intelligent payment distribution operation component to be uploaded, then the cluster distribution node of the parameter list of the uploaded historical bill clustering unit in the intelligent payment distribution operation component is determined according to the information of the uploaded historical bill clustering unit, and the cluster distribution node of the parameter list of the historical bill clustering unit to be uploaded in the intelligent payment distribution operation component is determined according to the information of the uploaded historical bill clustering unit, so that the cluster distribution node of the parameter list of the uploaded historical bill clustering unit in the intelligent payment distribution operation component is determined according to the cluster distribution node of the parameter list of the uploaded historical bill clustering unit in the intelligent payment distribution operation component, and the cluster distribution node of the parameter list of the historical bill clustering unit to be uploaded in the intelligent payment distribution operation component And generating uploading distribution parameters of the intelligent payment distribution operation component in the node. Therefore, the processing condition of each historical bill clustering unit is distinguished according to the payment operation bill generation information, so that the data analysis efficiency is improved, and the time cost of the intelligent payment distribution operation assembly is reduced.

In a possible example, for step S120, in this embodiment, the bill element extraction may be performed on the payment operation bill generation information to obtain a bill element list, then the bill element extraction is performed on the information of the uploaded historical bill clustering unit to obtain the historical bill clustering unit feature of the uploaded historical bill clustering unit, and then the bill element list and the historical bill clustering unit feature of the uploaded historical bill clustering unit are input into a preconfigured target model to obtain the information of the historical bill clustering unit to be uploaded.

In a possible example, for step S120, in this embodiment, the historical bill clustering unit feature obtained by extracting the bill element from the information of the historical bill clustering unit to be uploaded, which is output by the target model this time, is obtained, and the bill element list is input into the target model, so as to obtain the information of the historical bill clustering unit to be uploaded, which is output by the target model this time, until the target model outputs the information of the last historical bill clustering unit.

In a possible example, for step S120, in this embodiment, sample payment operation bill generation information of a target intelligent payment distribution operation component for adjusting parameters and each configured historical bill clustering unit corresponding to the target intelligent payment distribution operation component may be obtained, then information of each configured historical bill clustering unit is generated according to a cluster distribution node of each configured historical bill clustering unit in the target intelligent payment distribution operation component and a parameter list of each configured historical bill clustering unit, and a configured data list is obtained by arranging characteristic sequences of the historical bill clustering units extracted from the information of each configured historical bill clustering unit. The historical bill clustering unit features extracted from the information of the preset starting historical bill clustering unit are located at the front end of the configuration data list, and the historical bill clustering unit features extracted from the information of the preset ending historical bill clustering unit are located at the tail end of the configuration data list.

On this basis, the target model can be configured according to a bill element list extracted from the sample payment operation bill generation information and the characteristics of each historical bill clustering unit in the configuration data list, so that the corresponding relation between the bill element list, the combination of the characteristics of the historical bill clustering units in the configuration data list and the information for configuring the historical bill clustering units is obtained through learning.

In a possible example, for step S120, the present embodiment may generate a call access element list according to each historical bill clustering unit node in the payment running bill generation information, where the historical bill clustering unit in the call access element list is used to indicate a feature vector of a corresponding historical bill clustering unit node in the payment running bill generation information. And then, carrying out bill element extraction on the calling access element list to obtain the bill element list.

Fig. 3 is a functional block diagram of an intelligent payment information uploading system 200 based on a blockchain service according to an embodiment of the present invention, where the functions implemented by the intelligent payment information uploading system 200 based on a blockchain service may correspond to the steps executed by the foregoing method. The system 200 for uploading intelligent payment information based on blockchain service may be understood as the server 100, or a processor of the server 100, or may be understood as a component that is independent from the server 100 or the processor and implements the functions of the present invention under the control of the server 100, as shown in fig. 3, and the functions of the functional modules of the system 200 for uploading intelligent payment information based on blockchain service are described in detail below.

The obtaining module 210 is configured to obtain payment operation bill generation information of the intelligent payment distribution operation component to be uploaded.

The first generation module 220 is configured to generate information of the historical bill clustering unit to be uploaded according to the payment operation bill generation information and information of an uploaded historical bill clustering unit corresponding to the intelligent payment distribution operation component to be uploaded, wherein the information of the uploaded historical bill clustering unit includes a parameter list of the uploaded historical bill clustering unit and corresponding clustering distribution nodes, and the information of the historical bill clustering unit to be uploaded includes a parameter list of the historical bill clustering unit to be uploaded and corresponding clustering distribution nodes.

The determining module 230 is configured to determine, according to the information of the uploaded historical bill clustering unit, a clustering distribution node of the uploaded historical bill clustering unit parameter list in the intelligent payment distribution operation component, and determine, according to the information of the to-be-uploaded historical bill clustering unit, a clustering distribution node of the to-be-uploaded historical bill clustering unit parameter list in the intelligent payment distribution operation component.

A second generating module 240, configured to generate an upload distribution parameter of the intelligent payment distribution operating component according to a cluster distribution node of the uploaded historical bill clustering unit parameter list in the intelligent payment distribution operating component, and a cluster distribution node of the to-be-uploaded historical bill clustering unit parameter list in the intelligent payment distribution operating component.

In one possible example, the first generating module 210 generates the information of the historical bill clustering unit to be uploaded by:

and extracting bill elements from the payment operation bill generation information to obtain a bill element list.

And bill element extraction is carried out on the information of the uploaded historical bill clustering unit to obtain the historical bill clustering unit characteristics of the uploaded historical bill clustering unit.

And inputting the bill element list and the characteristics of the historical bill clustering units of the uploaded historical bill clustering units into a pre-configured target model to obtain the information of the historical bill clustering units to be uploaded.

In one possible example, the first generating module 210 is further configured to:

and the information of the historical bill clustering unit to be uploaded, which is output by the target model this time, is subjected to bill element extraction to obtain the historical bill clustering unit characteristics, and the bill element list is input into the target model to obtain the information of the historical bill clustering unit to be uploaded, which is output by the target model this time, until the target model outputs the information of the last historical bill clustering unit.

In one possible example, the first generating module 210 is further configured to:

obtaining sample payment operation bill generation information of a target intelligent payment distribution operation component for adjusting parameters, and configuring historical bill clustering units corresponding to the target intelligent payment distribution operation component.

And generating the information of each configured historical bill clustering unit according to the clustering distribution node of each configured historical bill clustering unit in the target intelligent payment distribution operation assembly and the parameter list of each configured historical bill clustering unit.

And arranging the characteristic sequences of the historical bill clustering units extracted from the information of each configured historical bill clustering unit to obtain a configuration data list. The historical bill clustering unit features extracted from the information of the preset starting historical bill clustering unit are located at the front end of the configuration data list, and the historical bill clustering unit features extracted from the information of the preset ending historical bill clustering unit are located at the tail end of the configuration data list.

And configuring the target model according to a bill element list extracted from the sample payment operation bill generation information and the characteristics of each historical bill clustering unit in the configuration data list, so as to learn to obtain a corresponding relation between the bill element list, the combination of the characteristics of the historical bill clustering units in the configuration data list and the information for configuring the historical bill clustering units.

In one possible example, the first generation module 210 performs bill element extraction on the payment operation bill generation information to obtain a bill element list by:

and generating a calling access element list according to each historical bill clustering unit node in the payment operation bill generation information, wherein the historical bill clustering unit in the calling access element list is used for indicating the characteristic vector of the corresponding historical bill clustering unit node in the payment operation bill generation information.

And carrying out bill element extraction on the calling access element list to obtain the bill element list.

It is clear to those skilled in the art that, for convenience and brevity of description, the specific working processes of the above-described systems, apparatuses and units may refer to the corresponding processes in the foregoing method embodiments, and are not described herein again.

In the embodiments provided in the present invention, it should be understood that the disclosed apparatus and method can be implemented in other ways. The apparatus and method embodiments described above are illustrative only, as the flowcharts and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to various embodiments of the present invention. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems that perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.

In addition, the functional modules in the embodiments of the present invention may be integrated together to form an independent part, or each module may exist separately, or two or more modules may be integrated to form an independent part.

Alternatively, all or part of the implementation may be in software, hardware, firmware, or any combination thereof. When implemented in software, may be implemented in whole or in part in the form of a computer program product. The computer program product includes one or more computer instructions. When loaded and executed on a computer, cause the processes or functions described in accordance with the embodiments of the invention to occur, in whole or in part. The computer may be a general purpose computer, a special purpose computer, a network of computers, or other programmable device. The computer instructions may be stored in a computer readable storage medium or transmitted from one computer readable storage medium to another, for example, from one website site, computer, server, or data center to another website site, computer, server, or data center via wired (e.g., coaxial cable, fiber optic, Digital Subscriber Line (DSL)) or wireless (e.g., infrared, wireless, microwave, etc.). The computer-readable storage medium can be any available medium that can be accessed by a computer or a data storage device, such as a server, a data center, etc., that incorporates one or more of the available media. The usable medium may be a magnetic medium (e.g., floppy Disk, hard Disk, magnetic tape), an optical medium (e.g., DVD), or a semiconductor medium (e.g., Solid State Disk (SSD)), among others.

It should be noted that, in this document, 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 an … …" does not exclude the presence of other identical elements in a process, method, article, or apparatus that comprises the element.

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 drawing credit or debit acknowledgement in the claims should not be construed as limiting the claim concerned.

Claims (2)

1. An intelligent payment information uploading method based on a blockchain service is applied to a server, and the method comprises the following steps:

acquiring payment operation bill generation information of the intelligent payment distribution operation component to be uploaded;

generating information of a historical bill clustering unit to be uploaded according to the payment operation bill generation information and information of an uploaded historical bill clustering unit corresponding to the intelligent payment distribution operation component to be uploaded, wherein the information of the uploaded historical bill clustering unit comprises a parameter list of the uploaded historical bill clustering unit and a corresponding clustering distribution node, and the information of the historical bill clustering unit to be uploaded comprises a parameter list of the historical bill clustering unit to be uploaded and a corresponding clustering distribution node;

determining cluster distribution nodes of the uploaded historical bill clustering unit parameter list in the intelligent payment distribution operation assembly according to the information of the uploaded historical bill clustering unit, and determining cluster distribution nodes of the uploaded historical bill clustering unit parameter list in the intelligent payment distribution operation assembly according to the information of the to-be-uploaded historical bill clustering unit;

generating uploading distribution parameters of the intelligent payment distribution operation assembly in clustering distribution nodes of the intelligent payment distribution operation assembly according to the uploaded historical bill clustering unit parameter list and the historical bill clustering unit parameter list to be uploaded;

the step of generating the information of the historical bill clustering unit to be uploaded according to the information generated by the payment operation bill and the information of the uploaded historical bill clustering unit corresponding to the intelligent payment distribution operation component to be uploaded comprises the following steps:

extracting bill elements from the payment operation bill generation information to obtain a bill element list;

bill element extraction is carried out on the information of the uploaded historical bill clustering unit, and the historical bill clustering unit characteristics of the uploaded historical bill clustering unit are obtained;

inputting the bill element list and the characteristics of the historical bill clustering units of the uploaded historical bill clustering units into a pre-configured target model to obtain the information of the historical bill clustering units to be uploaded;

the step of generating information of the historical bill clustering unit to be uploaded according to the information generated by the payment operation bill and the information of the uploaded historical bill clustering unit corresponding to the intelligent payment distribution operation component to be uploaded further comprises the following steps:

the information of the historical bill clustering unit to be uploaded, which is output by the target model this time, is subjected to bill element extraction to obtain historical bill clustering unit characteristics, and the bill element list is input into the target model to obtain the information of the historical bill clustering unit to be uploaded, which is output by the target model this time, until the target model outputs the information of the last historical bill clustering unit;

the step of generating information of the historical bill clustering unit to be uploaded according to the information generated by the payment operation bill and the information of the uploaded historical bill clustering unit corresponding to the intelligent payment distribution operation component to be uploaded further comprises the following steps:

obtaining sample payment operation bill generation information of a target intelligent payment distribution operation component for adjusting parameters and each configured historical bill clustering unit corresponding to the target intelligent payment distribution operation component;

generating information of each configured historical bill clustering unit according to a clustering distribution node of each configured historical bill clustering unit in the target intelligent payment distribution operation assembly and a parameter list of each configured historical bill clustering unit;

arranging the characteristic sequences of the historical bill clustering units extracted from the information of each configured historical bill clustering unit to obtain a configured data list; the method comprises the steps that the characteristic of a historical bill clustering unit extracted from information of a preset starting historical bill clustering unit is located at the front end of a configuration data list, and the characteristic of a historical bill clustering unit extracted from information of a preset ending historical bill clustering unit is located at the tail end of the configuration data list;

configuring the target model according to a bill element list extracted from the sample payment operation bill generation information and the characteristics of each historical bill clustering unit in the configuration data list, so as to learn to obtain a corresponding relation between the bill element list, the characteristics of the historical bill clustering units in the configuration data list and the information configuring the historical bill clustering units;

the step of extracting the bill elements from the payment operation bill generation information to obtain a bill element list includes:

generating a calling access element list according to each historical bill clustering unit node in the payment operation bill generation information, wherein the historical bill clustering unit in the calling access element list is used for indicating a feature vector of the corresponding historical bill clustering unit node in the payment operation bill generation information;

and carrying out bill element extraction on the calling access element list to obtain the bill element list.

2. An intelligent payment information uploading system based on a blockchain service is applied to a server, and the system comprises:

the acquisition module is used for acquiring payment operation bill generation information of the intelligent payment distribution operation component to be uploaded;

the first generation module is used for generating information of a historical bill clustering unit to be uploaded according to the payment operation bill generation information and information of an uploaded historical bill clustering unit corresponding to the intelligent payment distribution operation component to be uploaded, wherein the information of the uploaded historical bill clustering unit comprises a parameter list of the uploaded historical bill clustering unit and corresponding clustering distribution nodes, and the information of the historical bill clustering unit to be uploaded comprises a parameter list of the historical bill clustering unit to be uploaded and corresponding clustering distribution nodes;

the determining module is used for determining cluster distribution nodes of the uploaded historical bill clustering unit parameter list in the intelligent payment distribution operation assembly according to the information of the uploaded historical bill clustering unit, and determining cluster distribution nodes of the uploaded historical bill clustering unit parameter list in the intelligent payment distribution operation assembly according to the information of the to-be-uploaded historical bill clustering unit;

the second generation module is used for generating uploading distribution parameters of the intelligent payment distribution operation assembly in the clustering distribution nodes of the intelligent payment distribution operation assembly according to the uploaded historical bill clustering unit parameter list and the to-be-uploaded historical bill clustering unit parameter list;

the first generation module generates information of the historical bill clustering unit to be uploaded in the following mode:

extracting bill elements from the payment operation bill generation information to obtain a bill element list;

bill element extraction is carried out on the information of the uploaded historical bill clustering unit, and the historical bill clustering unit characteristics of the uploaded historical bill clustering unit are obtained;

inputting the bill element list and the characteristics of the historical bill clustering units of the uploaded historical bill clustering units into a pre-configured target model to obtain the information of the historical bill clustering units to be uploaded;

the first generation module is further to:

the information of the historical bill clustering unit to be uploaded, which is output by the target model this time, is subjected to bill element extraction to obtain historical bill clustering unit characteristics, and the bill element list is input into the target model to obtain the information of the historical bill clustering unit to be uploaded, which is output by the target model this time, until the target model outputs the information of the last historical bill clustering unit;

the first generation module is further to:

obtaining sample payment operation bill generation information of a target intelligent payment distribution operation component for adjusting parameters and each configured historical bill clustering unit corresponding to the target intelligent payment distribution operation component;

generating information of each configured historical bill clustering unit according to a clustering distribution node of each configured historical bill clustering unit in the target intelligent payment distribution operation assembly and a parameter list of each configured historical bill clustering unit;

arranging the characteristic sequences of the historical bill clustering units extracted from the information of each configured historical bill clustering unit to obtain a configured data list; the method comprises the steps that the characteristic of a historical bill clustering unit extracted from information of a preset starting historical bill clustering unit is located at the front end of a configuration data list, and the characteristic of a historical bill clustering unit extracted from information of a preset ending historical bill clustering unit is located at the tail end of the configuration data list;

configuring the target model according to a bill element list extracted from the sample payment operation bill generation information and the characteristics of each historical bill clustering unit in the configuration data list, so as to learn to obtain a corresponding relation between the bill element list, the characteristics of the historical bill clustering units in the configuration data list and the information configuring the historical bill clustering units;

the first generation module extracts the bill elements from the payment operation bill generation information in the following way to obtain a bill element list:

generating a calling access element list according to each historical bill clustering unit node in the payment operation bill generation information, wherein the historical bill clustering unit in the calling access element list is used for indicating a feature vector of the corresponding historical bill clustering unit node in the payment operation bill generation information;

and carrying out bill element extraction on the calling access element list to obtain the bill element list.

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