Automatic sorting control system for financial bills

Abstract

The invention relates to the technical field of bill sorting, and discloses an automatic sorting control system for financial bills, which comprises the following steps: acquiring to-be-uploaded bill parameter data through an undetermined parameter acquisition module; obtaining a bill delivery and uploading success index through a delivery index calculation module according to the to-be-uploaded bill parameter data; analyzing the uploading condition of the ticket to be uploaded through an undetermined analysis module; successfully uploaded ticket parameter data is obtained through a parameter acquisition module according to the uploading condition of the to-be-uploaded ticket; obtaining a bill category matching degree evaluation index through an index calculation module according to the successfully uploaded bill parameter data; and the bill sorting condition is analyzed through an analysis module according to the bill category matching degree evaluation index, and bill sorting is carried out. According to the financial bill sorting method and device, the bill sorting condition is analyzed according to the bill category matching degree evaluation index, the bills are sorted, then the financial bills are quickly and accurately sorted, and the problem that in the prior art, the financial bills are difficult to quickly and accurately sort is solved.

Description

Technical Field

[0001] The present invention relates to the technical field of bill sorting, and in particular to an automatic sorting control system for financial bills. Background Art

[0002] With the development of social economy, the financial activities of enterprises and institutions are becoming more and more frequent, and the number of financial bills involved is also increasing. Due to the increase in workload, the staff cannot complete the financial bill management tasks in time, which leads to the increase of financial personnel and the increase of corporate expenditure. In addition, the traditional financial bill management relies on the staff to manually sort and match the financial bills. This practice is not only inefficient, but also prone to errors, resulting in economic losses for the company. Therefore, it is of great significance to develop a system that can realize automatic sorting and matching of financial bills.

[0003] The existing bill sorting system implements the bill sorting function by allocating all bills to staff members, who check the bills one by one, identify the category of each bill, and sort each bill into the bill category corresponding to the bill.

[0004] For example, a sorting control system system is disclosed in the invention patent application with publication number: CN113821002A, including: a motion control module, a sensor module, a target device cache device and a target device pick-up and placement device. The motion control module is electrically connected to the target device pick-up and placement device, and is used to control the target device pick-up and placement device to grab the target device transmitted on the conveyor line, and control the target device pick-up and placement device to place the target device on the target device cache device; the sensor module is electrically connected to the motion control module, and is used to detect the current height value of the first-layer target device in the target device cache device, and send the current height value to the motion control module; the motion control module is electrically connected to the target device cache device, and is also used to receive the current height value sent by the sensor module, and control the movement of the target device cache device based on the current height value, so that the relative distance between the target device cache device and the target device pick-up and placement device is adjusted to a preset relative distance.

[0005] For example, the invention patent application with publication number: CN113671903A discloses a speed matching method, device and sorting machine for motion modules of a sorting machine, including: determining the motion module corresponding to each sub-action and the execution order of each motion module according to the execution order of the sub-actions of the action to be executed; obtaining the initial running time of each motion module; obtaining the running speed of each motion module according to the initial running time of the upper motion module, the initial running time of the lower motion module and the running distance of the sub-action of the lower motion module; controlling each motion module to execute the corresponding sub-action according to its own running speed to complete the action to be executed.

[0006] However, in the process of implementing the technical solution of the invention in the embodiments of the present application, the present application found that the above technology has at least the following technical problems: In the prior art, due to the excessive number of financial bills and bill categories, there is a problem that it is difficult to sort the financial bills quickly and accurately. Summary of the invention

[0007] The embodiment of the present application solves the problem in the prior art that it is difficult to quickly and accurately sort financial bills by providing an automatic sorting control system for financial bills, thereby achieving quick and accurate sorting of financial bills.

[0008] An embodiment of the present application provides an automatic sorting control system for financial bills, including: a pending parameter acquisition module, a delivery index calculation module, a pending analysis module, a parameter acquisition module, an index calculation module and an analysis module; the pending parameter acquisition module is used to acquire parameter data of bills to be uploaded; the delivery index calculation module is used to obtain a bill delivery upload success index based on the bill parameter data to be uploaded; the pending analysis module is used to analyze the upload status of bills to be uploaded based on the bill delivery upload success index; the parameter acquisition module is used to obtain successfully uploaded bill parameter data based on the upload status of bills to be uploaded; the index calculation module is used to obtain a bill category fit evaluation index based on the successfully uploaded bill parameter data; the analysis module is used to analyze the bill sorting status and perform bill sorting based on the bill category fit evaluation index.

[0009] Furthermore, the specific analysis process of the bill delivery upload success index is as follows: scanning the bill to be uploaded to obtain the existing area of ​​the bill to be uploaded, obtaining the length and width of the bill to be uploaded to obtain the complete area of ​​the bill to be uploaded, comparing the existing area with the complete area to obtain the comparison result, and using it as the completeness data of the bill to be uploaded; scanning the bill to be uploaded to obtain the area data of the recognizable area of ​​the bill to be uploaded, the number of words of the recognizable text of the bill to be uploaded, and the number of words of the text to be recognizable for the bill to be uploaded; obtaining the completeness data of the bill upload requirement standard and the area data of the recognizable area of ​​the bill upload requirement standard; The uploaded bill completeness data is compared with the bill upload requirement standard completeness data, the recognizable area data of the bill to be uploaded is compared with the recognizable area data of the bill upload requirement standard, and the recognizable text word count data of the bill to be uploaded is compared with the text word count data required to be recognized for the bill to be uploaded, and the comparison results are accumulated and comprehensively analyzed to obtain the bill delivery and upload success index of the bill to be uploaded; the bill delivery and upload success index represents data for comprehensively evaluating the bill delivery and upload success degree of the bill to be uploaded through the bill completeness data, the recognizable area data of the bill to be uploaded and the recognizable text word count data of the bill to be uploaded.

[0010] Furthermore, the specific analysis process of analyzing the upload status of the bills to be uploaded based on the bill delivery upload success index is: obtain the bill delivery upload success index of all bills to be uploaded, obtain the upload success threshold, compare each bill to be uploaded with the upload success threshold, when the bill delivery upload success index is greater than or equal to the upload success threshold, it means that the bill to be uploaded can be uploaded successfully; when it is in other situations, it means that the upload of the bill to be uploaded has failed.

[0011] Furthermore, the specific analysis process of obtaining the bill category conformity assessment index based on the successfully uploaded bill parameter data is as follows: obtaining all successfully uploaded bills in the uploaded bill upload situation, and obtaining the successfully uploaded bill parameter data of the successfully uploaded bills; analyzing the uploaded bill parameter data to obtain bill supervision index data, the bill supervision index data including the bill feature attribution degree assessment index, the bill shape attribution degree assessment index and the bill coding attribution degree assessment index; obtaining the bill category conformity assessment index based on the bill supervision index data; the bill feature attribution degree assessment index represents the number of features included in the bill area, the number of attribution features included in the bill area and the number of attribution features included in the bill area The bill characteristic attribution degree of the successfully uploaded bill is comprehensively evaluated by the number of characters; the bill appearance attribution degree evaluation index represents the data of the bill appearance attribution degree of the successfully uploaded bill through the bill length data, the bill width data, the bill top page margin data and the bill left page margin data; the bill coding attribution degree evaluation index represents the data of the bill coding attribution degree of the successfully uploaded bill through the bill code digital data and the bill number digital data; the bill category conformity evaluation index represents the data of the bill category conformity degree of the successfully uploaded bill through the bill characteristic attribution degree evaluation index, the bill appearance attribution degree evaluation index and the bill coding attribution degree evaluation index.

[0012] Furthermore, the specific analysis process of the bill category conformity assessment index is: obtaining the bill feature attribution degree assessment index, bill appearance attribution degree assessment index and bill coding attribution degree assessment index of the successfully uploaded bill, accumulating the bill feature attribution degree assessment index, bill appearance attribution degree assessment index and bill coding attribution degree assessment index, and performing comprehensive analysis to obtain the bill category conformity assessment index.

[0013] Furthermore, the specific analysis process of the bill feature attribution degree evaluation index is as follows: divide the bill into multiple areas, obtain the successfully uploaded bill area for text processing to obtain the number of features possessed by the successfully uploaded bill area, and use it as the number of features contained in the bill area; obtain the number of features possessed by the successfully uploaded bill, which is the number of features contained in the bill; obtain the features possessed by the bill category, and find out the number of features that appear in the area and the bill category at the same time through screening, and use it as the number of features contained in the bill area; compare the text in the successfully uploaded bill area with the text of the bill category, count the text that appears in the bill category in the successfully uploaded bill area, and use the statistical result as the number of texts contained in the bill area; obtain the total number of texts possessed by the successfully uploaded bill area, which is the number of texts contained in the bill area; compare the number of bill area inclusion features of the successfully uploaded bill area with the number of bill inclusion features, the number of bill area attribution features with the number of bill area inclusion features, and the number of bill area attribution texts with the number of bill area texts, add up the comparison results of all areas of the successfully uploaded bill, and conduct a comprehensive analysis to obtain the bill feature attribution degree evaluation index.

[0014] Furthermore, the specific analysis process of the bill shape attribution degree evaluation index is: obtaining the bill length data, bill width data, bill top page margin data and bill left page margin data of the successfully uploaded bill; obtaining the bill category length data, bill category width data, bill category top page margin data and bill category left page margin data of the bill category; comparing the bill length data with the bill category length data, the bill width data with the bill category width data, the bill top page margin data with the bill category top page margin data, and the bill left page margin data with the bill category left page margin data, accumulating the comparison results and performing comprehensive analysis to obtain the bill shape attribution degree evaluation index.

[0015] Furthermore, the specific method for obtaining the bill delivery upload success index is: obtaining the bills to be uploaded, numbering the bills to be uploaded; constructing a bill delivery upload success index calculation formula; the specific bill delivery upload success index calculation formula is: , where Expressed as The bill delivery upload success index of the bills to be uploaded, , Indicates the total number of tickets to be uploaded. Expressed as The completeness data of the bills to be uploaded, Indicates the standard completeness data required for bill upload. Expressed as The area data of the uploaded bills can be identified. Indicates the area data of the identifiable area required for the bill upload standard. Expressed as The text word count data of the bills to be uploaded can be identified. Indicates the number of words in the text that needs to be recognized for the bill to be uploaded. and They are respectively represented as the weight ratio of the completeness data of the bill to be uploaded, the identifiable area data of the bill to be uploaded and the number of identifiable text words of the bill to be uploaded in the bill delivery and upload success index.

[0016] Furthermore, the specific method for obtaining the bill category fit evaluation index is as follows: obtaining the number of all bills that can be successfully uploaded, and numbering the successfully uploaded bills; obtaining the categories of all financial bills in the database, and numbering the financial bill categories; constructing a bill category fit evaluation index calculation formula; the specific bill category fit evaluation index calculation formula is: , where Expressed as The successfully uploaded ticket belongs to The bill category fit assessment index of the bill category, , Represents the total number of successfully uploaded tickets. , Expressed as the total number of financial instrument categories, Expressed as The successfully uploaded ticket belongs to The bill characteristics attribution degree assessment index of the bill category, Expressed as The successfully uploaded ticket belongs to The bill appearance attribution degree assessment index of the bill category, Expressed as The successfully uploaded ticket belongs to The bill code attribution evaluation index of the bill category, and They are respectively expressed as the weight ratio of the bill feature attribution degree assessment index, the bill appearance attribution degree assessment index and the bill coding attribution degree assessment index in the bill category fit degree assessment index.

[0017] Furthermore, the specific process of analyzing the bill sorting situation and performing bill sorting according to the bill category fit assessment index is as follows: obtaining the bill category fit assessment index obtained by analyzing the successfully uploaded bills and all financial bill categories, arranging all the bill category fit assessment indexes in order from large to small, thereby extracting the bill category fit assessment index that ranks first in the bill category fit assessment index, and the bill category corresponding to the bill category fit assessment index is the category to which the successfully uploaded bills belong, and the successfully uploaded bills are sorted into the category, and the sorting is completed.

[0018] One or more technical solutions provided in the embodiments of the present application have at least the following technical effects or advantages: 1. By acquiring parameter data of bills to be uploaded, obtaining a bill delivery upload success index according to the parameter data of bills to be uploaded, analyzing the upload status of bills to be uploaded according to the bill delivery upload success index, obtaining parameter data of successfully uploaded bills according to the upload status of bills to be uploaded, obtaining a bill category fit degree evaluation index according to the successfully uploaded bill parameter data, thereby analyzing the bill sorting status according to the bill category fit degree evaluation index and performing bill sorting, thereby realizing rapid sorting of financial bills according to the bill category fit degree evaluation index, effectively solving the problem in the prior art that it is difficult to quickly and accurately sort financial bills.

[0019] 2. By analyzing the bill sorting situation and sorting the bills according to the bill category fit evaluation index, the specific bill category of the successfully uploaded bills can be clarified, so that the successfully uploaded bills can be quickly sorted into specific bill categories, thereby realizing fast and accurate sorting of financial bills.

[0020] 3. The bill category fit assessment index is obtained based on the bill supervision index data, and the bill category fit assessment index is obtained by analyzing from three perspectives: the bill feature fit assessment index, the bill appearance fit assessment index and the bill coding fit assessment index. This makes the bill category fit assessment index more comprehensive, and thus enables more accurate bill sorting through the bill category fit assessment index. BRIEF DESCRIPTION OF THE DRAWINGS

[0021] Figure 1 A schematic diagram of the structure of an automatic sorting control system for financial bills provided in an embodiment of the present application; Figure 2 A flow chart of obtaining a bill category compatibility evaluation index in an automatic sorting control system for financial bills provided in an embodiment of the present application. DETAILED DESCRIPTION

[0022] The embodiment of the present application solves the problem that it is difficult to quickly and accurately sort financial bills in the prior art by providing an automatic sorting control system for financial bills. The parameter data of bills to be uploaded is acquired through a pending parameter acquisition module; the bill delivery upload success index is obtained according to the parameter data of bills to be uploaded through a delivery index calculation module; the upload status of bills to be uploaded is analyzed according to the bill delivery upload success index through a pending analysis module; the parameter acquisition module obtains the parameter data of successfully uploaded bills according to the upload status of bills to be uploaded; the index calculation module obtains the bill category fit evaluation index according to the successfully uploaded bill parameter data; the analysis module analyzes the bill sorting status according to the bill category fit evaluation index and performs bill sorting, thereby realizing fast and accurate sorting of financial bills.

[0023] The technical solution in the embodiment of the present application is to solve the above-mentioned problem of difficulty in sorting financial bills quickly and accurately. The overall idea is as follows: The parameter data of the bills to be uploaded are obtained through the pending parameter acquisition module; the bill delivery upload success index is obtained according to the parameter data of the bills to be uploaded through the delivery index calculation module; the upload status of the bills to be uploaded is analyzed according to the bill delivery upload success index through the pending analysis module; the parameter acquisition module obtains the parameter data of the successfully uploaded bills according to the upload status of the bills to be uploaded; the index calculation module obtains the bill category fit degree assessment index according to the successfully uploaded bill parameter data: the successfully uploaded bill parameter data of the successfully uploaded bills is obtained, the uploaded bill parameter data is analyzed to obtain bill supervision index data such as the bill feature attribution degree assessment index, the bill shape attribution degree assessment index and the bill coding attribution degree assessment index, and the bill category fit degree assessment index is obtained according to the bill supervision index data; the bill sorting situation is analyzed according to the bill category fit degree assessment index through the analysis module and the bill sorting is performed, so as to achieve the effect of quickly and accurately sorting financial bills.

[0024] In order to better understand the above technical solution, the above technical solution will be described in detail below in conjunction with the accompanying drawings and specific implementation methods.

[0025] like Figure 1As shown, it is a structural schematic diagram of the automatic sorting control system of financial bills provided in the embodiment of the present application. The automatic sorting control system of financial bills provided in the embodiment of the present application includes: a pending parameter acquisition module, a delivery index calculation module, a pending analysis module, a parameter acquisition module, an index calculation module and an analysis module; the pending parameter acquisition module: is used to acquire parameter data of bills to be uploaded; the delivery index calculation module: is used to obtain the bill delivery upload success index according to the bill parameter data to be uploaded; the pending analysis module: is used to analyze the upload status of the bills to be uploaded according to the bill delivery upload success index; the parameter acquisition module: is used to obtain the successfully uploaded bill parameter data according to the upload status of the bills to be uploaded; the index calculation module: is used to obtain the bill category fit evaluation index according to the successfully uploaded bill parameter data; the analysis module: is used to analyze the bill sorting status according to the bill category fit evaluation index and perform bill sorting.

[0026] Furthermore, the specific analysis process of the bill delivery upload success index is as follows: scan the bill to be uploaded to obtain the current area of ​​the bill to be uploaded, obtain the complete area of ​​the bill to be uploaded by obtaining the length and width of the bill to be uploaded, compare the current area with the complete area to obtain the comparison result, and use it as the completeness data of the bill to be uploaded; obtain the data of the area of ​​the recognizable area of ​​the bill to be uploaded, the data of the number of words of the recognizable text of the bill to be uploaded, and the data of the number of words of the text to be recognized by the bill to be uploaded by scanning the bill to be uploaded; obtain the completeness data of the bill upload requirement standard and the data of the area of ​​the recognizable area of ​​the bill upload requirement standard; The completeness data of the uploaded bill is compared with the completeness data of the bill upload requirement standard, the area data of the recognizable region of the bill to be uploaded is compared with the area data of the recognizable region of the bill upload requirement standard, and the number of recognizable text characters of the bill to be uploaded is compared with the number of text characters required to be recognized for the bill to be uploaded. The comparison results are accumulated and comprehensively analyzed to obtain the bill delivery and upload success index of the bill to be uploaded; the bill delivery and upload success index represents data that comprehensively evaluates the bill delivery and upload success degree of the bill to be uploaded through the completeness data of the bill to be uploaded, the area data of the recognizable region of the bill to be uploaded and the number of recognizable text characters of the bill to be uploaded.

[0027] In this embodiment, the number of bills to be uploaded is huge, but not all of them can be successfully uploaded. For example, when a bill to be uploaded is damaged or contaminated over a large area, the bill to be uploaded cannot be identified. The bill delivery upload success index is data used to evaluate the probability of successful upload of the bill to be uploaded.

[0028] Furthermore, the specific analysis process of analyzing the upload status of the bills to be uploaded based on the bill delivery upload success index is as follows: obtain the bill delivery upload success index of all bills to be uploaded, obtain the upload success threshold, compare each bill to be uploaded with the upload success threshold, when the bill delivery upload success index is greater than or equal to the upload success threshold, it means that the bill to be uploaded can be uploaded successfully; when in other situations, it means that the upload of the bill to be uploaded has failed.

[0029] In this embodiment, the bill delivery upload success index represents data for evaluating the probability of successful upload of the bill to be uploaded. By analyzing the bill delivery upload success index, the probability of successful upload of the bill to be uploaded can be clearly determined. The larger the bill delivery upload success index, the greater the probability of successful upload of the bill to be uploaded.

[0030] Furthermore, the specific analysis process of obtaining the bill category conformity assessment index based on the successfully uploaded bill parameter data is as follows: obtaining all successfully uploaded bills in the uploaded bill upload situation, and obtaining the successfully uploaded bill parameter data of the successfully uploaded bills; analyzing the uploaded bill parameter data to obtain the bill supervision index data, the bill supervision index data includes the bill feature attribution degree assessment index, the bill shape attribution degree assessment index and the bill coding attribution degree assessment index; obtaining the bill category conformity assessment index based on the bill supervision index data; the bill feature attribution degree assessment index represents the number of features included in the bill area, the number of attribution features included in the bill area and the number of attribution features included in the bill area The data of bill feature attribution degree of the successfully uploaded bill is comprehensively evaluated by the number of characters. The bill shape attribution degree evaluation index represents the data of bill shape attribution degree of the successfully uploaded bill is comprehensively evaluated by the bill length data, bill width data, bill top page margin data and bill left page margin data. The bill coding attribution degree evaluation index represents the data of bill coding attribution degree of the successfully uploaded bill is comprehensively evaluated by the bill code digital data and the bill number digital data. The bill category conformity evaluation index represents the data of bill category conformity degree of the successfully uploaded bill is comprehensively evaluated by the bill feature attribution degree evaluation index, the bill shape attribution degree evaluation index and the bill coding attribution degree evaluation index.

[0031] In this embodiment, if Figure 2 As shown, it is a flow chart of obtaining the bill category fit evaluation index in the automatic sorting control system of financial bills provided in the embodiment of the present application. The bills to be uploaded are divided into two parts, successfully uploaded and failed to be uploaded, according to the bill delivery upload success index. The bills in the successfully uploaded part are regarded as successfully uploaded bills. By obtaining the uploaded bill parameter data of the successfully uploaded bills and performing data storage, data conversion and data cleaning, the uploaded bill parameter data is made more accurate, which is conducive to more accurate subsequent analysis process.

[0032] Furthermore, the specific analysis process of the bill category fit assessment index is: obtaining the bill feature attribution degree assessment index, bill appearance attribution degree assessment index and bill coding attribution degree assessment index of the successfully uploaded bill, accumulating the bill feature attribution degree assessment index, bill appearance attribution degree assessment index and bill coding attribution degree assessment index and performing comprehensive analysis to obtain the bill category fit assessment index.

[0033] In this embodiment, the bill category fit evaluation index is obtained by analyzing from three perspectives: bill feature fit evaluation index, bill appearance fit evaluation index and bill coding fit evaluation index, so that the bill category fit evaluation index is more comprehensive.

[0034] Furthermore, the specific analysis process of the bill feature attribution degree evaluation index is as follows: divide the bill into multiple areas, obtain the successfully uploaded bill area for text processing to obtain the number of features possessed by the successfully uploaded bill area, and use it as the number of features contained in the bill area; obtain the number of features possessed by the successfully uploaded bill, which is the number of features contained in the bill; obtain the features possessed by the bill category, and find out the number of features that appear in the area and the bill category at the same time through screening, which is the number of features contained in the bill area; compare the text in the successfully uploaded bill area with the text of the bill category, count the text that appears in the bill category in the successfully uploaded bill area, and use the statistical result as the number of texts contained in the bill area; obtain the total number of texts possessed by the successfully uploaded bill area, which is the number of texts contained in the bill area; compare the number of bill area inclusion features of the successfully uploaded bill area with the number of bill inclusion features, the number of bill area inclusion features with the number of bill area inclusion features, and the number of bill area inclusion texts with the number of bill area inclusion texts, add up the comparison results of all areas of the successfully uploaded bill, and conduct a comprehensive analysis to obtain the bill feature attribution degree evaluation index.

[0035] In this embodiment, feature-related data is obtained by performing text feature processing on the successfully uploaded bill, and the feature-related data includes the number of features contained in the bill area, the number of features contained in the bill, and the number of attribution features contained in the bill area. The successfully uploaded bill is scanned to obtain text quantity-related data, and the text quantity-related data includes the number of attribution texts contained in the bill area and the number of texts contained in the bill area. The above data are cleaned and preprocessed to make the data more accurate, which can make the bill feature attribution degree assessment index more accurate.

[0036] Furthermore, the specific analysis process of the bill appearance attribution degree evaluation index is as follows: obtain the bill length data, bill width data, bill top page margin data and bill left page margin data of the successfully uploaded bill; obtain the bill category length data, bill category width data, bill category top page margin data and bill category left page margin data of the bill category; compare the bill length data with the bill category length data, compare the bill width data with the bill category width data, compare the bill top page margin data with the bill category top page margin data, and compare the bill left page margin data with the bill category left page margin data, accumulate the comparison results and conduct a comprehensive analysis to obtain the bill appearance attribution degree evaluation index.

[0037] In this embodiment, before comparison, the bill length data, bill width data, bill top page margin data, bill left page margin data, bill category length data, bill category width data, bill category top page margin data and bill category left page margin data are converted, integrated and stored, so that a more accurate bill appearance attribution degree assessment index can be obtained by analyzing the above-mentioned data processed.

[0038] Furthermore, the specific method for obtaining the bill delivery upload success index is: obtaining the bills to be uploaded, numbering the bills to be uploaded; constructing a bill delivery upload success index calculation formula; the specific bill delivery upload success index calculation formula is: , where Expressed as The bill delivery upload success index of the bills to be uploaded, , Indicates the total number of tickets to be uploaded. Expressed as The completeness data of the bills to be uploaded, Indicates the standard completeness data required for bill upload. Expressed as The area data of the uploaded bills can be identified. Indicates the area data of the identifiable area required for the bill upload standard. Expressed as The text word count data of the bills to be uploaded can be identified. Indicates the number of words in the text that needs to be recognized for the bill to be uploaded. and They are respectively represented as the weight ratio of the completeness data of the bill to be uploaded, the identifiable area data of the bill to be uploaded and the number of identifiable text words of the bill to be uploaded in the bill delivery and upload success index.

[0039] In this embodiment, the bill delivery upload success index is obtained by analyzing the three aspects of the completeness data of the bill to be uploaded, the area data of the identifiable region of the bill to be uploaded, and the number of words of the identifiable text of the bill to be uploaded. This allows the upload status of the bill to be uploaded to be analyzed more accurately through the bill delivery upload success index. The larger the bill delivery upload success index, the better the preservation of the bill to be uploaded, and the easier it is to successfully upload the bill to be uploaded; the smaller the bill delivery upload success index, the worse the preservation of the bill to be uploaded, and the more difficult it is to successfully upload the bill to be uploaded. Obtain the bill delivery upload success index of all bills to be uploaded, obtain the upload success threshold, compare each bill to be uploaded with the upload success threshold, and when the bill delivery upload success index is greater than or equal to the upload success threshold, that is, , it means the bill to be uploaded can be uploaded successfully; when in other situations, that is, , it means that the bill to be uploaded has failed to be uploaded. The bills to be uploaded are classified by the bill delivery upload success index, and the bills to be uploaded that have failed to be uploaded will not enter the subsequent analysis process, reducing the workload required for the analysis process.

[0040] Furthermore, the specific method for obtaining the bill category fit evaluation index is as follows: obtain the number of all bills that can be successfully uploaded, and number the successfully uploaded bills; obtain the categories of all financial bills in the database, and number the financial bill categories; construct a bill category fit evaluation index calculation formula; the specific bill category fit evaluation index calculation formula is: , where Expressed as The successfully uploaded ticket belongs to The bill category fit assessment index of the bill category, , Represents the total number of successfully uploaded tickets. , Expressed as the total number of financial instrument categories, Expressed as The successfully uploaded ticket belongs to The bill characteristics attribution degree assessment index of the bill category, Expressed as The successfully uploaded ticket belongs to The bill appearance attribution degree assessment index of the bill category, Expressed as The successfully uploaded ticket belongs to The bill code attribution evaluation index of the bill category, and They are respectively expressed as the weight ratio of the bill feature attribution degree assessment index, the bill appearance attribution degree assessment index and the bill coding attribution degree assessment index in the bill category fit degree assessment index.

[0041] In this embodiment, the bill category matching degree evaluation index is obtained by analyzing from three perspectives: bill feature matching degree evaluation index, bill appearance matching degree evaluation index, and bill coding matching degree evaluation index, so that the bill category matching degree evaluation index can better analyze the bill sorting situation. The larger the bill category matching degree evaluation index, the higher the matching degree between the successfully uploaded bill and the bill category represented by the bill category matching degree evaluation index; the smaller the bill category matching degree evaluation index, the lower the matching degree between the successfully uploaded bill and the bill category represented by the bill category matching degree evaluation index.

[0042] Furthermore, the specific process of analyzing the bill sorting situation and performing bill sorting according to the bill category fit evaluation index is as follows: obtaining the bill category fit evaluation index obtained by analyzing the successfully uploaded bills and all financial bill categories, arranging all the bill category fit evaluation indexes in order from large to small, thereby extracting the bill category fit evaluation index that ranks first in the bill category fit evaluation index, and the bill category corresponding to the bill category fit evaluation index is the category to which the successfully uploaded bills belong, and the successfully uploaded bills are sorted into the belonging category, and the sorting is completed.

[0043] In this embodiment, a bill category fit evaluation index is obtained by analyzing the successfully uploaded bills and all financial bill categories, and all bill category fit evaluation indexes are arranged in order from large to small, thereby extracting the bill category fit evaluation index that ranks first in the bill category fit evaluation index. The first place indicates that the successfully uploaded bill has the highest fit with the bill category corresponding to the bill category fit evaluation index, and the bill category corresponding to the bill category fit evaluation index is the category to which the successfully uploaded bill belongs. The successfully uploaded bill is sorted into the category, and the sorting of the successfully uploaded bill is completed. The above sorting process is repeated for all successfully uploaded bills, and the sorting of all successfully uploaded bills can be completed.

[0044] Furthermore, the specific method for obtaining the bill feature attribution degree evaluation index is as follows: obtain the number of all bills that can be successfully uploaded, and number the successfully uploaded bills; obtain the categories of all financial bills in the database, and number the financial bill categories; divide the successfully uploaded bills into multiple areas, and number the areas; construct a calculation formula for the bill feature attribution degree evaluation index; the specific calculation formula for the bill feature attribution degree evaluation index is: , where Expressed as The successfully uploaded ticket belongs to The bill characteristics attribution degree assessment index of the bill category, , Represents the total number of successfully uploaded tickets. , Expressed as the total number of financial instrument categories, Expressed as The first ticket successfully uploaded The number of features contained in the ticket area of ​​the area, , Expressed as the total number of regions, Expressed as The number of successfully uploaded tickets contains the characteristic number, Expressed as The first ticket successfully uploaded The region contains the features belonging to The bill area of ​​the bill category contains the number of attribution features, Expressed as The first ticket successfully uploaded The area contains the text that belongs to The bill area of ​​the bill category contains the number of attribution texts, Expressed as The first ticket successfully uploaded The ticket area of ​​the area contains the text quantity, and They are respectively expressed as the weight ratio of the number of features contained in the bill area, the number of attribution features contained in the bill area, and the number of attribution words contained in the bill area in the bill feature attribution degree evaluation index; the specific calculation formula of the bill appearance attribution degree evaluation index is: , where Expressed as The successfully uploaded ticket belongs to The bill appearance attribution degree assessment index of the bill category, Expressed as The length of the ticket for each successfully uploaded ticket. Expressed as The length data of the note category of the class note, Expressed as Ticket width data of successfully uploaded tickets, Expressed as Bill category width data for the bill category, Expressed as The margin data of the bills that have been successfully uploaded. Expressed as The upper margin data of the bill category of the bill category, Expressed as The left margin data of the successfully uploaded bills, Expressed as The left margin data of the bill category of the bill category, and They are respectively expressed as the weight ratio of the bill length data, bill width data, bill top margin data and bill left margin data in the bill appearance attribution degree assessment index, It is expressed as a natural constant; the specific method for obtaining the bill coding attribution evaluation index is: obtain the invoice code of the successfully uploaded bill, and number each digit in the invoice code; obtain the invoice number of the successfully uploaded bill, and number each digit in the invoice number; construct the bill coding attribution evaluation index calculation formula; the specific bill coding attribution evaluation index calculation formula is: , where Expressed as The successfully uploaded ticket belongs to The bill code attribution evaluation index of the bill category, Expressed as The first ticket successfully uploaded The bill code number data represented by the invoice code number, , Expressed as the total number of invoice code digits, Expressed as Class of note category The invoice code number represents the bill category code number data, Expressed as The first ticket successfully uploaded The invoice number digits represent the bill number digital data, , Expressed as the total number of digits in the invoice number, Expressed as Class of note category The invoice number digits represent the bill category number digit data, and They are respectively expressed as the weight ratio of the bill code digital data and the bill number digital data in the bill coding attribution degree assessment index.

[0045] In this embodiment, the larger the bill feature attribution degree evaluation index is, the higher the degree of fit between the successfully uploaded bill and the bill category corresponding to the bill feature attribution degree evaluation index is in terms of features; the smaller the bill feature attribution degree evaluation index is, the lower the degree of fit between the successfully uploaded bill and the bill category corresponding to the bill feature attribution degree evaluation index is in terms of features. The larger the bill appearance attribution degree evaluation index is, the higher the degree of fit between the successfully uploaded bill and the bill category corresponding to the bill appearance attribution degree evaluation index is in terms of appearance; the smaller the bill appearance attribution degree evaluation index is, the lower the degree of fit between the successfully uploaded bill and the bill category corresponding to the bill appearance attribution degree evaluation index is in terms of appearance. The larger the bill code attribution degree evaluation index is, the higher the degree of fit between the successfully uploaded bill and the bill category corresponding to the bill code attribution degree evaluation index is in terms of digital coding; the smaller the bill code attribution degree evaluation index is, the lower the degree of fit between the successfully uploaded bill and the bill category corresponding to the bill code attribution degree evaluation index is in terms of digital coding.

[0046] The technical scheme in the above-mentioned embodiment of the present application has at least the following technical effects or advantages: relative to a sorting control system disclosed in the invention patent application with publication number: CN113821002A, the embodiment of the present application analyzes the bill sorting situation and performs bill sorting according to the bill category fit evaluation index, clarifies the specific bill category of the successfully uploaded bill, and thus quickly sorts the successfully uploaded bill into the specific bill category, thereby realizing fast and accurate sorting of financial bills; relative to a sorting machine motion module speed matching method, device and sorting machine disclosed in the invention patent application with publication number: CN113671903A, the embodiment of the present application obtains the bill category fit evaluation index according to the bill supervision index data, and obtains the bill category fit evaluation index from three perspectives: the bill feature attribution evaluation index, the bill shape attribution evaluation index and the bill coding attribution evaluation index, thereby making the bill category fit evaluation index more comprehensive, thereby realizing more accurate bill sorting through the bill category fit evaluation index.

[0047] It will be appreciated by those skilled in the art that embodiments of the present invention may be provided as methods, systems, or computer program products. Therefore, the present invention may take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware. Furthermore, the present invention may take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0048] The present invention is described with reference to flowcharts and / or block diagrams of systems, devices (systems), and computer program products according to embodiments of the present invention. It should be understood that each process and / or block in the flowchart and / or block diagram, as well as the combination of processes and / or blocks in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0049] These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0050] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process. Figure 1 A process or multiple processes and / or boxes Figure 1 The steps for the functions specified in one or more boxes.

[0051] Although the preferred embodiments of the present invention have been described, those skilled in the art may make other changes and modifications to these embodiments once they have learned the basic creative concept. Therefore, the appended claims are intended to be interpreted as including the preferred embodiments and all changes and modifications that fall within the scope of the present invention.

[0052] Obviously, those skilled in the art can make various changes and modifications to the present invention without departing from the spirit and scope of the present invention. Thus, if these modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include these modifications and variations.

Claims

1. An automatic sorting control system for financial bills, characterized in that: include: To-be-determined parameter acquisition module, delivery index calculation module, to-be-determined analysis module, parameter acquisition module, index calculation module and analysis module; The pending parameter acquisition module is used to obtain the parameter data of the bill to be uploaded; The delivery index calculation module is used to obtain the bill delivery upload success index according to the bill parameter data to be uploaded; The pending analysis module is used to analyze the upload status of the bills to be uploaded according to the bill delivery upload success index; The parameter acquisition module is used to obtain parameter data of successfully uploaded bills according to the upload status of the bills to be uploaded; The index calculation module is used to obtain the bill category fit evaluation index according to the successfully uploaded bill parameter data; The analysis module is used to analyze the bill sorting situation and perform bill sorting according to the bill category fit evaluation index.

2. The automatic sorting control system for financial bills as claimed in claim 1, characterized in that: The specific analysis process of the bill delivery upload success index is as follows: Scan the bill to be uploaded to obtain the current area of ​​the bill to be uploaded, obtain the length and width of the bill to be uploaded to obtain the complete area of ​​the bill to be uploaded, compare the current area with the complete area to obtain a comparison result, and use it as the completeness data of the bill to be uploaded; By scanning the bill to be uploaded, the data of the area of ​​the bill to be uploaded that can be identified, the data of the number of words in the text that can be identified, and the data of the number of words in the text that needs to be identified of the bill to be uploaded are obtained; Obtain data on the completeness of the bill upload requirement standards and the area data of the identifiable areas of the bill upload requirement standards; Compare the integrity data of the bill to be uploaded with the integrity data of the bill upload requirement standard, compare the identifiable area data of the bill to be uploaded with the identifiable area data of the bill upload requirement standard, and compare the identifiable text word count data of the bill to be uploaded with the text word count data required to be recognized of the bill to be uploaded, accumulate the comparison results and conduct a comprehensive analysis to obtain the bill delivery upload success index of the bill to be uploaded; The bill delivery upload success index represents data for comprehensively evaluating the bill delivery upload success of the bill to be uploaded through data on the completeness of the bill to be uploaded, data on the identifiable area of ​​the bill to be uploaded, and data on the number of words in the identifiable text of the bill to be uploaded.

3. The automatic sorting control system for financial bills as claimed in claim 1, characterized in that: The specific analysis process of analyzing the upload status of the bills to be uploaded according to the bill delivery upload success index is as follows: Get the bill delivery upload success index of all bills to be uploaded, get the upload success threshold, compare each bill to be uploaded with the upload success threshold, when the bill delivery upload success index is greater than or equal to the upload success threshold, it means that the bill to be uploaded can be uploaded successfully; when it is in other situations, it means that the upload of the bill to be uploaded has failed.

4. The automatic sorting control system for financial bills as claimed in claim 1, characterized in that: The specific analysis process of obtaining the bill category fit evaluation index based on the successfully uploaded bill parameter data is as follows: Obtain all successfully uploaded upload tickets in the upload ticket upload status, and obtain the successful upload ticket parameter data of the successfully uploaded tickets; Analyze the uploaded bill parameter data to obtain bill supervision index data, wherein the bill supervision index data includes a bill feature attribution degree assessment index, a bill shape attribution degree assessment index, and a bill code attribution degree assessment index; Obtain bill category compliance assessment index based on bill supervision index data; The bill feature attribution degree evaluation index represents data on the bill feature attribution degree of a successfully uploaded bill by comprehensively evaluating the number of features contained in the bill area, the number of attributable features contained in the bill area, and the number of attributable texts contained in the bill area; the bill appearance attribution degree evaluation index represents data on the bill appearance attribution degree of a successfully uploaded bill by comprehensively evaluating the bill length data, the bill width data, the bill top page margin data, and the bill left page margin data; the bill code attribution degree evaluation index represents data on the bill code attribution degree of a successfully uploaded bill by comprehensively evaluating the bill code digital data and the bill number digital data; the bill category conformity evaluation index represents data on the bill category conformity degree of a successfully uploaded bill by comprehensively evaluating the bill feature attribution degree evaluation index, the bill appearance attribution degree evaluation index, and the bill code attribution degree evaluation index.

5. The automatic sorting control system for financial bills as claimed in claim 1, characterized in that: The specific analysis process of the bill category fit evaluation index is as follows: Obtain the bill feature attribution degree assessment index, bill appearance attribution degree assessment index and bill coding attribution degree assessment index of the successfully uploaded bill, accumulate the bill feature attribution degree assessment index, bill appearance attribution degree assessment index and bill coding attribution degree assessment index, and perform comprehensive analysis to obtain the bill category fit degree assessment index.

6. The automatic sorting control system for financial bills as claimed in claim 1, characterized in that: The specific analysis process of the bill characteristic attribution degree evaluation index is as follows: Divide the bill into multiple areas, obtain the successfully uploaded bill area, perform text processing to obtain the number of features in the successfully uploaded bill area, and use it as the number of features contained in the bill area; Get the number of features that the successfully uploaded bill has, that is, the number of features included in the bill; Get the features of the bill category, and find out the number of features that appear in both the region and the bill category through screening, and use it as the number of features included in the bill region; Compare the text in the successfully uploaded bill area with the text of the bill category, count the text that appears in the bill category in the successfully uploaded bill area, and use the count result as the number of texts included in the bill area; Get the total number of characters in the successfully uploaded ticket area, that is, the number of characters in the ticket area; Compare the number of features contained in the bill area of ​​the successfully uploaded bill with the number of features contained in the bill, compare the number of attribution features contained in the bill area with the number of features contained in the bill area, and compare the number of attribution texts contained in the bill area with the number of texts contained in the bill area. Add up the comparison results of all areas of the successfully uploaded bill and perform a comprehensive analysis to obtain the bill feature attribution degree assessment index.

7. The automatic sorting control system for financial bills as claimed in claim 4, characterized in that: The specific analysis process of the bill appearance attribution degree evaluation index is as follows: Get the bill length data, bill width data, bill top margin data and bill left margin data of the successfully uploaded bill; Obtain the bill category length data, bill category width data, bill category top page margin data and bill category left page margin data of the bill category; Compare the bill length data with the bill category length data, the bill width data with the bill category width data, the bill top page margin data with the bill category top page margin data, and the bill left page margin data with the bill category left page margin data. Add up the comparison results and conduct a comprehensive analysis to obtain the bill appearance attribution degree assessment index.

8. The automatic sorting control system for financial bills as claimed in claim 1, characterized in that: The specific method for obtaining the bill delivery upload success index is: Get the tickets to be uploaded and number them; Construct a calculation formula for the bill delivery upload success index; The specific calculation formula for the bill delivery upload success index is: ， In the formula, Expressed as The bill delivery upload success index of the bills to be uploaded, , Indicates the total number of tickets to be uploaded. Expressed as The completeness data of the bills to be uploaded, Indicates the standard completeness data required for bill upload. Expressed as The area data of the uploaded bills can be identified. Indicates the area data of the identifiable area required for the bill upload standard. Expressed as The text word count data of the bills to be uploaded can be identified. Indicates the number of words in the text that needs to be recognized for the bill to be uploaded. and They are respectively represented as the weight ratio of the completeness data of the bill to be uploaded, the identifiable area data of the bill to be uploaded and the number of identifiable text words of the bill to be uploaded in the bill delivery and upload success index.

9. The automatic sorting control system for financial bills as claimed in claim 1, characterized in that: The specific method for obtaining the bill category fit evaluation index is as follows: Get the number of all tickets that can be successfully uploaded, and number the successfully uploaded tickets; Get the categories of all financial bills in the database and number the financial bill categories; Construct a calculation formula for the bill category fit evaluation index; The specific calculation formula for the bill category fit evaluation index is: ， In the formula, Expressed as The successfully uploaded ticket belongs to The bill category fit assessment index of the bill category, , Represents the total number of successfully uploaded tickets. , Expressed as the total number of financial instrument categories, Expressed as The successfully uploaded ticket belongs to The bill characteristics attribution degree assessment index of the bill category, Expressed as The successfully uploaded ticket belongs to The bill appearance attribution degree assessment index of the bill category, Expressed as The successfully uploaded ticket belongs to The bill code attribution evaluation index of the bill category, and They are respectively expressed as the weight ratio of the bill feature attribution degree assessment index, the bill appearance attribution degree assessment index and the bill coding attribution degree assessment index in the bill category fit degree assessment index.

10. The automatic sorting control system for financial bills as claimed in claim 1, characterized in that: The specific process of analyzing the bill sorting situation and performing bill sorting according to the bill category fit evaluation index is as follows: Obtain the bill category fit assessment index obtained by analyzing the successfully uploaded bills and all financial bill categories, arrange all bill category fit assessment indexes in order from large to small, and extract the bill category fit assessment index that ranks first. The bill category corresponding to the bill category fit assessment index is the category to which the successfully uploaded bills belong. Sorting the successfully uploaded bills into the categories, and sorting is completed.

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