An automatic sorting control system for financial bills

Abstract

The present invention relates to the technical field of bill sorting, and discloses an automatic sorting control system for financial bills, including: obtaining bill parameter data to be uploaded through a to-be-determined parameter acquisition module; obtaining a bill delivery and upload success index according to the bill parameter data to be uploaded through a delivery index calculation module; analyzing the upload situation of the bill to be uploaded through a to-be-determined analysis module; obtaining successfully uploaded bill parameter data according to the upload situation of the bill to be uploaded through a parameter acquisition module; obtaining a bill category matching degree evaluation index according to the successfully uploaded bill parameter data through an index calculation module; analyzing the bill sorting situation according to the bill category matching degree evaluation index through an analysis module and performing bill sorting. The present invention analyzes the bill sorting situation and performs bill sorting according to the bill category matching degree evaluation index, thereby quickly and accurately sorting financial bills, and solving the problem in the prior art that it is difficult to quickly and accurately sort financial bills.

Description

Technical Field

[0001] The present invention relates to the technical field of bill sorting, and particularly 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 increasingly frequent, and the number of financial bills involved is also increasing continuously. Due to the increase in workload, staff members cannot complete the financial bill management tasks in a timely manner, resulting in enterprises adding financial personnel and increasing their expenditures. Moreover, traditional financial bill management involves manual sorting and matching of financial bills by staff members, which is not only inefficient but also prone to errors, leading to economic losses for enterprises. Therefore, it is of great significance to develop a system that can achieve automatic sorting and matching of financial bills.

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

[0004] For example, a sorting control system disclosed in the invention patent application with the publication number: CN113821002A includes: a motion control module, a sensing module, a target device buffer device, and a target device picking and placing device. The motion control module is electrically connected to the target device picking and placing device and is used to control the target device picking and placing device to grab the target device conveyed on the conveyor line and control the target device picking and placing device to place the target device on the target device buffer device; the sensing module is electrically connected to the motion control module and is used to detect the current height value of the top-layer target device in the target device buffer device and send the current height value to the motion control module; the motion control module is electrically connected to the target device buffer device and is further used to receive the current height value sent by the sensing module and control the movement of the target device buffer device based on the current height value so that the relative distance between the target device buffer device and the target device picking and placing device is adjusted to a preset relative distance.

[0005] For example, a method, device and sorter for matching the speeds of motion modules of a sorter disclosed in the invention patent application with the publication number: CN113671903A includes: 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 to-be-executed action; 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-level motion module, the initial running time of the lower-level motion module, and the sub-action running distance of the lower-level motion module; and controlling each motion module to execute the corresponding sub-action at its respective running speed to complete the to-be-executed action.

[0006] However, in the process of implementing the inventive technical solution in the embodiments of the present application, it is found that the above technology has at least the following technical problems:

[0007] In the prior art, due to the excessive number of financial bills and bill categories, there is a problem that it is difficult to quickly and accurately sort financial bills. Summary of the Invention

[0008] The embodiments of the present application provide an automatic sorting control system for financial bills, which solves the problem in the prior art that it is difficult to quickly and accurately sort financial bills, and realizes the quick and accurate sorting of financial bills.

[0009] The embodiments of the present application provide 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: used to acquire the parameter data of the bill to be uploaded; the delivery index calculation module: used to obtain the bill delivery upload success index according to the parameter data of the bill to be uploaded; the pending analysis module: used to analyze the upload situation of the bill to be uploaded according to the bill delivery upload success index; the parameter acquisition module: used to obtain the successfully uploaded bill parameter data according to the upload situation of the bill to be uploaded; the index calculation module: used to obtain the bill category matching degree evaluation index according to the successfully uploaded bill parameter data; the analysis module: used to analyze the bill sorting situation according to the bill category matching degree evaluation index and perform bill sorting.

[0010] Further, the specific analysis process of the bill delivery upload success index is as follows: scan the bill to be uploaded to obtain the existing 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 existing area with the complete area to obtain a comparison result, and use it as the complete degree data of the bill to be uploaded; obtain the upload bill recognizable area area data, the recognizable text word count data of the bill to be uploaded, and the text word count data to be recognized of the bill to be uploaded by scanning the bill to be uploaded; obtain the standard complete degree data required for bill upload and the standard recognizable area area data required for bill upload; compare the complete degree data of the bill to be uploaded with the standard complete degree data required for bill upload, compare the recognizable area area data of the bill to be uploaded with the standard recognizable area area data required for bill upload, and compare the recognizable text word count data of the bill to be uploaded and the text word count data to be recognized of the bill to be uploaded, accumulate the comparison results and perform comprehensive analysis to obtain the bill delivery upload success index of the bill to be uploaded; the bill delivery upload success index represents the data for comprehensively evaluating the bill delivery upload success degree of the bill to be uploaded through the complete degree data of the bill to be uploaded, the recognizable area area data of the bill to be uploaded, and the recognizable text word count data of the bill to be uploaded.

[0011] Further, the specific analysis process for analyzing the upload situation 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 indicates that the bill to be uploaded can be successfully uploaded; in other cases, it indicates that the upload of the bill to be uploaded fails.

[0012] Further, the specific analysis process for obtaining the bill category fit degree evaluation index based on the successfully uploaded bill parameter data is as follows: Obtain all the successfully uploaded bills in the upload situation of the uploaded bills and obtain the successfully uploaded bill parameter data of the successfully uploaded bills; Analyze the uploaded bill parameter data to obtain the bill supervision index data, and the bill supervision index data includes the bill feature attribution degree evaluation index, the bill shape attribution degree evaluation index, and the bill code attribution degree evaluation index; Obtain the bill category fit degree evaluation index according to the bill supervision index data; The bill feature attribution degree evaluation index represents the data for comprehensively evaluating the bill feature attribution degree of the successfully uploaded bill through the number of feature quantities included in the bill area, the number of attribution feature quantities included in the bill area, and the number of attribution text quantities included in the bill area. The bill shape attribution degree evaluation index represents the data for comprehensively evaluating the bill shape attribution degree of the successfully uploaded bill through the bill length data, the bill width data, the bill top margin data, and the bill left margin data. The bill code attribution degree evaluation index represents the data for comprehensively evaluating the bill code attribution degree of the successfully uploaded bill through the bill code digital data and the bill number digital data. The bill category fit degree evaluation index represents the data for comprehensively evaluating the bill category fit degree of the successfully uploaded bill through the bill feature attribution degree evaluation index, the bill shape attribution degree evaluation index, and the bill code attribution degree evaluation index.

[0013] Further, the specific analysis process for the bill category fit degree evaluation index is as follows: Obtain the bill feature attribution degree evaluation index, the bill shape attribution degree evaluation index, and the bill code attribution degree evaluation index of the successfully uploaded bill, add up the bill feature attribution degree evaluation index, the bill shape attribution degree evaluation index, and the bill code attribution degree evaluation index, and conduct comprehensive analysis to obtain the bill category fit degree evaluation index.

[0014] Further, the specific analysis process of the bill feature attribution degree evaluation index is as follows: The bill is divided into multiple regions, the regions of the successfully uploaded bill are obtained, text processing is performed on them to obtain the number of features owned by the regions of the successfully uploaded bill, and this is used as the number of features included in the bill region; the number of features owned by the successfully uploaded bill is obtained, which is the number of features included in the bill; the features owned by the bill category are obtained, and by screening, the number of features that appear in both the region and the bill category is found, and this is used as the number of attributed features included in the bill region; the text in the region of the successfully uploaded bill is compared with the text of the bill category, the text in the region of the successfully uploaded bill that appears in the bill category is counted, and the statistical result is used as the number of attributed words included in the bill region; the total number of words owned by the region of the successfully uploaded bill is obtained, which is the number of words included in the bill region; the number of features included in the bill region of the successfully uploaded bill is compared with the number of features included in the bill, the number of attributed features included in the bill region is compared with the number of features included in the bill region, and the number of attributed words included in the bill region is compared with the number of words included in the bill region. The comparison results of all regions of the successfully uploaded bill are accumulated and comprehensively analyzed to obtain the bill feature attribution degree evaluation index.

[0015] Further, the specific analysis process of the bill shape attribution degree evaluation index is as follows: The bill length data, bill width data, bill top margin data, and bill left margin data of the successfully uploaded bill are obtained; the bill category length data, bill category width data, bill category top margin data, and bill category left margin data of the bill category are obtained; the bill length data is compared with the bill category length data, the bill width data is compared with the bill category width data, the bill top margin data is compared with the bill category top margin data, and the bill left margin data is compared with the bill category left margin data. The comparison results are accumulated and comprehensively analyzed to obtain the bill shape attribution degree evaluation index.

[0016] Further, the specific method for obtaining the bill delivery and upload success index is as follows: The bill to be uploaded is obtained and numbered; a formula for calculating the bill delivery and upload success index is constructed; the specific formula for calculating the bill delivery and upload success index is: , where represents the bill delivery and upload success index of the th bill to be uploaded, , represents the total number of bills to be uploaded, represents the data on the completeness of the th bill to be uploaded, represents the standard completeness data required for bill upload, represents the The area data of the recognizable area of the bill to be uploaded, Expressed as the standard recognizable area data of the bill upload requirement, Denoted as the Number of words in the recognizable text of the bill to be uploaded for the Expressed as the number of words that need to be recognized for the bill to be uploaded, And Respectively represent the weight ratios of the completeness data of the bill to be uploaded, the area data of the recognizable area of the bill to be uploaded, and the number of words in the recognizable text of the bill to be uploaded in the bill delivery upload success index.

[0017] Furthermore, the specific method for obtaining the bill category matching degree evaluation index is as follows: Obtain the number of all bills that can be successfully uploaded, and number the successfully uploaded bills; Obtain all the categories of financial bills in the database, and number the financial bill categories; Construct a calculation formula for the bill category matching degree evaluation index; The specific calculation formula for the bill category matching degree evaluation index is: , where Denoted as the Bill category matching degree evaluation index of the th successfully uploaded bill belonging to the th Denoted as the total number of successfully uploaded bills, , Denoted as the total number of financial bill categories, Denoted as the Bill feature attribution degree evaluation index of the th successfully uploaded bill belonging to the Denoted as the Bill shape attribution degree evaluation index of the th successfully uploaded bill belonging to the Denoted as the Bill code attribution degree evaluation index of the th successfully uploaded bill belonging to the And Respectively represent the weight ratios of the bill feature attribution degree evaluation index, the bill shape attribution degree evaluation index, and the bill code attribution degree evaluation index in the bill category matching degree evaluation index.

[0018] Further, the specific process of analyzing the bill sorting situation and performing bill sorting according to the bill category matching degree evaluation index is as follows: Obtain the bill category matching degree evaluation index obtained by analyzing the successfully uploaded bills and all financial bill categories, arrange all the bill category matching degree evaluation indexes in descending order, and thus extract the bill category matching degree evaluation index ranked first in the arrangement of the bill category matching degree evaluation indexes. The bill category corresponding to this bill category matching degree evaluation index is the attribution category of the successfully uploaded bill. Sort the successfully uploaded bills into the attribution category, and the sorting is completed.

[0019] One or more technical solutions provided in the embodiments of the present application have at least the following technical effects or advantages:

[0020] 1. By obtaining the parameter data of the bill to be uploaded, obtaining the bill delivery and upload success index according to the parameter data of the bill to be uploaded, analyzing the upload situation of the bill to be uploaded according to the bill delivery and upload success index, obtaining the parameter data of the successfully uploaded bill according to the upload situation of the bill to be uploaded, and obtaining the bill category matching degree evaluation index according to the parameter data of the successfully uploaded bill, so as to analyze the bill sorting situation and perform bill sorting according to the bill category matching degree evaluation index, thereby realizing the rapid sorting of financial bills according to the bill category matching degree evaluation index, and effectively solving the problem in the prior art that it is difficult to quickly and accurately sort financial bills.

[0021] 2. By analyzing the bill sorting situation and performing bill sorting according to the bill category matching degree evaluation index, clarifying the specific bill category of the successfully uploaded bill, so as to quickly sort the successfully uploaded bill into the specific bill category, and thus realizing the rapid and accurate sorting of financial bills.

[0022] 3. By obtaining the bill category matching degree evaluation index according to the bill supervision index data, and analyzing the bill category matching degree evaluation index from three perspectives: the bill feature attribution degree evaluation index, the bill appearance attribution degree evaluation index, and the bill coding attribution degree evaluation index, so that the bill category matching degree evaluation index is more comprehensive, and thus realizing more accurate bill sorting through the bill category matching degree evaluation index. Description of the Drawings

[0023] Figure 1 It is a schematic structural diagram of the automatic sorting control system for financial bills provided by the embodiments of the present application;

[0024] Figure 2 It is a flowchart of obtaining the bill category matching degree evaluation index in the automatic sorting control system for financial bills provided by the embodiments of the present application. Detailed Embodiments

[0025] Embodiments of the present application provide an automatic sorting control system for financial bills, which solves the problem in the prior art that it is difficult to quickly and accurately sort financial bills. The system obtains parameter data of bills to be uploaded through a pending parameter acquisition module; obtains a bill delivery upload success index according to the parameter data of the bills to be uploaded through a delivery index calculation module; analyzes the upload situation of the bills to be uploaded according to the bill delivery upload success index through a pending analysis module; obtains parameter data of successfully uploaded bills according to the upload situation of the bills to be uploaded through a parameter acquisition module; obtains an evaluation index of the degree of fit of the bill category according to the parameter data of the successfully uploaded bills through an index calculation module; analyzes the bill sorting situation and performs bill sorting according to the evaluation index of the degree of fit of the bill category through an analysis module, realizing the quick and accurate sorting of financial bills.

[0026] The technical solution in the embodiments of the present application for solving the problem of difficult and inaccurate sorting of financial bills quickly is generally as follows:

[0027] Obtain parameter data of bills to be uploaded through a pending parameter acquisition module; obtain a bill delivery upload success index according to the parameter data of the bills to be uploaded through a delivery index calculation module; analyze the upload situation of the bills to be uploaded according to the bill delivery upload success index through a pending analysis module; obtain parameter data of successfully uploaded bills according to the upload situation of the bills to be uploaded through a parameter acquisition module; obtain an evaluation index of the degree of fit of the bill category according to the parameter data of the successfully uploaded bills through an index calculation module: obtain the parameter data of the successfully uploaded bills of the successfully uploaded bills, analyze the uploaded bill parameter data to obtain bill supervision index data such as the evaluation index of the degree of attribution of bill characteristics, the evaluation index of the degree of attribution of bill appearance, and the evaluation index of the degree of attribution of bill coding, and obtain the evaluation index of the degree of fit of the bill category according to the bill supervision index data; analyze the bill sorting situation and perform bill sorting according to the evaluation index of the degree of fit of the bill category through an analysis module, achieving the effect of quickly and accurately sorting financial bills.

[0028] To better understand the above technical solution, the above technical solution will be described in detail below in conjunction with the accompanying drawings of the specification and specific embodiments.

[0029] Such as Figure 1As shown in the figure, it is a schematic structural diagram of the automatic sorting control system for financial bills provided by the embodiments of the present application. The automatic sorting control system for financial bills provided by the embodiments of the present application includes: a to-be-determined parameter acquisition module, a delivery index calculation module, a to-be-determined analysis module, a parameter acquisition module, an index calculation module, and an analysis module; The to-be-determined parameter acquisition module: is used to acquire the parameter data of the bills to be uploaded; The delivery index calculation module: is used to obtain the bill delivery upload success index according to the parameter data of the bills to be uploaded; The to-be-determined analysis module: is used to analyze the upload situation 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 situation of the bills to be uploaded; The index calculation module: is used to obtain the bill category matching degree evaluation index according to the successfully uploaded bill parameter data; The analysis module: is used to analyze the bill sorting situation according to the bill category matching degree evaluation index and perform bill sorting.

[0030] Further, the specific analysis process of the bill delivery upload success index is as follows: Scan the bills to be uploaded to obtain the existing area of the bills to be uploaded. Obtain the complete area of the bills to be uploaded by acquiring the length and width of the bills to be uploaded. Compare the existing area with the complete area to obtain a comparison result, which is used as the complete degree data of the bills to be uploaded; Obtain the upload bill recognizable area data, the recognizable text word count data of the bills to be uploaded, and the text word count data to be recognized of the bills to be uploaded by scanning the bills to be uploaded; Obtain the standard complete degree data required for bill upload and the standard recognizable area data required for bill upload; Compare the complete degree data of the bills to be uploaded with the standard complete degree data required for bill upload, compare the recognizable area data of the bills to be uploaded with the standard recognizable area data required for bill upload, and compare the recognizable text word count data of the bills to be uploaded and the text word count data to be recognized of the bills to be uploaded. Accumulate the comparison results and conduct a comprehensive analysis to obtain the bill delivery upload success index of the bills to be uploaded; The bill delivery upload success index represents the data for comprehensively evaluating the success degree of the bill delivery upload of the bills to be uploaded through the complete degree data of the bills to be uploaded, the recognizable area data of the bills to be uploaded, and the recognizable text word count data of the bills to be uploaded.

[0031] In this embodiment, the number of bills to be uploaded is huge, but not all bills to be uploaded can be successfully uploaded. For example, when the bills to be uploaded are severely damaged and contaminated, the bills to be uploaded cannot be recognized. The bill delivery upload success index is the data used to evaluate the probability of successful upload of the bills to be uploaded.

[0032] Further, the specific analysis process for analyzing the upload situation of 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 indicates that the bill to be uploaded can be successfully uploaded; in other cases, it indicates that the upload of the bill to be uploaded fails.

[0033] In this embodiment, the bill delivery upload success index represents data for evaluating the successful upload probability of bills to be uploaded. By analyzing the bill delivery upload success index, the probability of successful upload of bills to be uploaded can be clarified. The greater the bill delivery upload success index, the greater the probability of successful upload of the bill to be uploaded.

[0034] Further, the specific analysis process for obtaining the bill category matching degree evaluation index based on the successfully uploaded bill parameter data is as follows: Obtain all successfully uploaded bills in the upload situation of the uploaded bills, and obtain the successfully uploaded bill parameter data of the successfully uploaded bills; analyze the uploaded bill parameter data to obtain the bill supervision index data, and the bill supervision index data includes the bill feature attribution degree evaluation index, the bill shape attribution degree evaluation index, and the bill code attribution degree evaluation index; obtain the bill category matching degree evaluation index based on the bill supervision index data; the bill feature attribution degree evaluation index represents data for comprehensively evaluating the bill feature attribution degree of the successfully uploaded bill through the number of feature quantities included in the bill area, the number of attribution feature quantities included in the bill area, and the number of attribution text quantities included in the bill area. The bill shape attribution degree evaluation index represents data for comprehensively evaluating the bill shape attribution degree of the successfully uploaded bill through the bill length data, the bill width data, the upper margin data of the bill, and the left margin data of the bill. The bill code attribution degree evaluation index represents data for comprehensively evaluating the bill code attribution degree of the successfully uploaded bill through the bill code digital data and the bill number digital data. The bill category matching degree evaluation index represents data for comprehensively evaluating the bill category matching degree of the successfully uploaded bill through the bill feature attribution degree evaluation index, the bill shape attribution degree evaluation index, and the bill code attribution degree evaluation index.

[0035] In this embodiment, as Figure 2 shown, it is a flowchart for obtaining the bill category matching degree evaluation index in the automatic sorting control system of financial bills provided by the embodiment of the present application. According to the bill delivery upload success index, the bills to be uploaded are divided into two parts: successfully uploaded and failed to upload. The successfully uploaded bills are used as the 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 accuracy of the uploaded bill parameter data is higher, which is conducive to more accurate subsequent analysis processes.

[0036] Further, the specific analysis process of the bill category matching degree evaluation index is as follows: Obtain the evaluation index of the bill feature attribution degree, the evaluation index of the bill shape attribution degree, and the evaluation index of the bill code attribution degree of the successfully uploaded bill. Add up the evaluation index of the bill feature attribution degree, the evaluation index of the bill shape attribution degree, and the evaluation index of the bill code attribution degree, and conduct comprehensive analysis to obtain the bill category matching degree evaluation index.

[0037] In this embodiment, by analyzing the bill category matching degree evaluation index from three aspects: the evaluation index of the bill feature attribution degree, the evaluation index of the bill shape attribution degree, and the evaluation index of the bill code attribution degree, the bill category matching degree evaluation index is more comprehensively considered.

[0038] Further, the specific analysis process of the bill feature attribution degree evaluation index is as follows: Divide the bill into multiple regions, obtain the successfully uploaded bill regions, perform text processing to obtain the number of features owned by the successfully uploaded bill regions, and use it as the number of features included in the bill regions; Obtain the number of features owned by the successfully uploaded bill, which is the number of features included in the bill; Obtain the features owned by the bill category, and find out the number of features that appear in both the regions and the bill category through screening, and use it as the number of attributed features included in the bill regions; Compare the text in the successfully uploaded bill regions with the text of the bill category, count the text in the successfully uploaded bill regions that appears in the bill category, and use the statistical result as the number of attributed words included in the bill regions; Obtain the total number of words owned by the successfully uploaded bill regions, which is the number of words included in the bill regions; Compare the number of features included in the bill regions of the successfully uploaded bill with the number of features included in the bill, compare the number of attributed features included in the bill regions with the number of features included in the bill regions, and compare the number of attributed words included in the bill regions with the number of words included in the bill regions. Add up the comparison results of all regions of the successfully uploaded bill, and conduct comprehensive analysis to obtain the bill feature attribution degree evaluation index.

[0039] In this embodiment, by performing text feature processing on the successfully uploaded bill to obtain feature-related data, the feature-related data includes the number of features included in the bill regions, the number of features included in the bill, and the number of attributed features included in the bill regions. Scan the successfully uploaded bill to obtain word quantity-related data, the word quantity-related data includes the number of attributed words included in the bill regions and the number of words included in the bill regions. Clean and preprocess the above data to make the data more accurate, and enable the bill feature attribution degree evaluation index to be more accurate.

[0040] Further, the specific analysis process of the bill shape attribution degree evaluation index is as follows: Obtain the bill length data, bill width data, upper margin data of the bill, and left margin data of the bill of the successfully uploaded bill; Obtain the bill category length data, bill category width data, upper margin data of the bill category, and left margin data of the bill category 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 upper margin data of the bill with the upper margin data of the bill category, and the left margin data of the bill with the left margin data of the bill category, and accumulate and comprehensively analyze the comparison results to obtain the bill shape attribution degree evaluation index.

[0041] In this embodiment, before comparison, the bill length data, bill width data, upper margin data of the bill, left margin data of the bill, bill category length data, bill category width data, upper margin data of the bill category, and left margin data of the bill category are subjected to data conversion, data integration, and data storage, so that a higher-precision bill shape attribution degree evaluation index can be obtained by analyzing the above data-processed data.

[0042] Further, the specific method for obtaining the bill delivery and upload success index is as follows: Obtain the bill to be uploaded and number the bill to be uploaded; Construct a formula for calculating the bill delivery and upload success index; The specific formula for calculating the bill delivery and upload success index is: , where represents the bill delivery and upload success index of the th bill to be uploaded, , represents the total number of bills to be uploaded, represents the completeness data of the th bill to be uploaded, represents the standard completeness data required for bill upload, represents the area data of the recognizable area of the th bill to be uploaded, represents the standard recognizable area data required for bill upload, represents the number of recognizable text characters of the th bill to be uploaded, represents the number of text characters to be recognized for the bill to be uploaded, and respectively represent the weight ratios of the completeness data of the bill to be uploaded, the area data of the recognizable area of the bill to be uploaded, and the number of recognizable text characters of the bill to be uploaded in the bill delivery and upload success index.

[0043] In this embodiment, the bill delivery and upload success index is obtained by analyzing from three aspects: the completeness data of the bill to be uploaded, the area data of the recognizable area of the bill to be uploaded, and the number of recognizable text words of the bill to be uploaded. Thus, the upload situation of the bill to be uploaded can be analyzed more accurately through the bill delivery and upload success index. The larger the bill delivery and upload success index is, the better the preservation degree of the bill to be uploaded is, and the easier it is for the bill to be uploaded successfully. The smaller the bill delivery and upload success index is, the worse the preservation degree of the bill to be uploaded is, and the more difficult it is for the bill to be uploaded successfully. Obtain the bill delivery and upload success index of all bills to be uploaded, obtain the upload success threshold, and compare each bill to be uploaded with the upload success threshold. When the bill delivery and upload success index is greater than or equal to the upload success threshold, that is it means that the bill to be uploaded can be uploaded successfully; in other cases, that is it means that the bill to be uploaded fails to be uploaded. Classify the bills to be uploaded through the bill delivery and upload success index. The bills to be uploaded that fail to be uploaded do not enter the subsequent analysis process, reducing the workload to be processed in the analysis process.

[0044] Furthermore, the specific method for obtaining the bill category matching degree evaluation index is as follows: obtain the number of all bills that can be uploaded successfully, and number the successfully uploaded bills; obtain all the categories of financial bills in the database, and number the financial bill categories; construct the bill category matching degree evaluation index calculation formula; the specific bill category matching degree evaluation index calculation formula is: In the formula, represents the bill category matching degree evaluation index of the th successfully uploaded bill belonging to the th category of bill categories, represents the total number of successfully uploaded bills, represents the total number of financial bill categories, represents the bill feature attribution degree evaluation index of the th successfully uploaded bill belonging to the th category of bill categories, represents the bill shape attribution degree evaluation index of the th successfully uploaded bill belonging to the th category of bill categories, represents the bill code attribution degree evaluation index of the th successfully uploaded bill belonging to the th category of bill categories, and ​​They are respectively expressed as the weight ratios of the evaluation index of the degree of belonging of bill features, the evaluation index of the degree of belonging of bill shapes, and the evaluation index of the degree of belonging of bill codes in the evaluation index of the degree of fit of bill categories.

[0045] In this embodiment, the evaluation index of the degree of fit of bill categories is obtained by analyzing from three perspectives: the evaluation index of the degree of belonging of bill features, the evaluation index of the degree of belonging of bill shapes, and the evaluation index of the degree of belonging of bill codes, so that the evaluation index of the degree of fit of bill categories can better analyze the bill sorting situation. The larger the evaluation index of the degree of fit of bill categories, the higher the degree of fit between the successfully uploaded bill and the bill category represented by the evaluation index of the degree of fit of bill categories; the smaller the evaluation index of the degree of fit of bill categories, the lower the degree of fit between the successfully uploaded bill and the bill category represented by the evaluation index of the degree of fit of bill categories.

[0046] Furthermore, the specific process of analyzing the bill sorting situation according to the evaluation index of the degree of fit of bill categories and performing bill sorting is as follows: Obtain the evaluation index of the degree of fit of bill categories obtained by analyzing the successfully uploaded bill and all financial bill categories, arrange all the evaluation indexes of the degree of fit of bill categories in descending order, and thus extract the evaluation index of the degree of fit of bill categories ranked first. The bill category corresponding to this evaluation index of the degree of fit of bill categories is the belonging category of the successfully uploaded bill. Sort the successfully uploaded bill into the belonging category, and the sorting is completed.

[0047] In this embodiment, obtain the evaluation index of the degree of fit of bill categories obtained by analyzing the successfully uploaded bill and all financial bill categories, arrange all the evaluation indexes of the degree of fit of bill categories in descending order, and thus extract the evaluation index of the degree of fit of bill categories ranked first. Ranking first indicates the highest degree of fit between the successfully uploaded bill and the bill category corresponding to this evaluation index of the degree of fit of bill categories. The bill category corresponding to this evaluation index of the degree of fit of bill categories is the belonging category of the successfully uploaded bill. Sort the successfully uploaded bill into the belonging category, and the sorting of this successfully uploaded bill is completed. Repeat the above sorting process for all successfully uploaded bills, and the sorting of all successfully uploaded bills can be completed.

[0048] Furthermore, the specific method for obtaining the evaluation index of the degree of belonging of bill features is as follows: Obtain the number of all bills that can be successfully uploaded, and number the successfully uploaded bills; obtain all the categories of financial bills in the database, and number the financial bill categories; divide the successfully uploaded bills into multiple regions, and number the regions; construct the calculation formula for the evaluation index of the degree of belonging of bill features; the specific calculation formula for the evaluation index of the degree of belonging of bill features is: , where is expressed as the The degree of belonging of the characteristics of the bills belonging to the category of bills in the th successful uploaded bill is evaluated by the index, which is expressed as the total number of successfully uploaded bills, ; which is expressed as the total number of financial bill categories, which is expressed as the th successful uploaded bill, and the number of characteristics included in the bill area of the th area; which is expressed as the total number of areas, which is expressed as the th successful uploaded bill, and the number of characteristics included in the bill; which is expressed as the th successful uploaded bill, and the number of characteristics belonging to the category of bills included in the th area of the bill area; which is expressed as the th successful uploaded bill, and the number of words belonging to the category of bills included in the th area of the bill area; And respectively represent the weight ratios of the number of characteristics included in the bill area, the number of characteristics belonging to the bill area, and the number of words belonging to the bill area in the evaluation index of the degree of belonging of bill characteristics; the specific calculation formula of the evaluation index of the degree of belonging of the bill shape is: wherein, which is expressed as the th successful uploaded bill belonging to the category of bills, and which is expressed as the th successful uploaded bill, and the length data of the bill; which is expressed as the th category of bills, and the length data of the bill category; which is expressed as the th successful uploaded bill, and the width data of the bill; which is expressed as the th successful uploaded bill, and the top margin data of the bill category; Denoted as the left margin data of the th successfully uploaded bill, Denoted as the left margin data of the bill category of the th category of bills, and respectively denote the weight ratios of the bill length data, bill width data, upper margin data of the bill, and left margin data of the bill in the bill shape attribution degree evaluation index, where Denoted as the th successfully uploaded bill belonging to the th category of bills in the bill coding attribution degree evaluation index, Denoted as the th digital data of the bill code represented by the th digit of the invoice code of the th successfully uploaded bill, denoted as the total number of invoice code digits, Denoted as the th digital data of the bill category code represented by the th digit of the invoice code of the th category of bills, Denoted as the th digital data of the bill number represented by the th digit of the invoice number of the th successfully uploaded bill, denoted as the total number of invoice number digits, Denoted as the th digital data of the bill category number represented by the th digit of the invoice number of the th category of bills, and

[0049] In this embodiment, the larger the bill feature attribution degree evaluation index, the higher the degree of fit in terms of features between the successfully uploaded bill and the bill category corresponding to the bill feature attribution degree evaluation index; the smaller the bill feature attribution degree evaluation index, the lower the degree of fit in terms of features between the successfully uploaded bill and the bill category corresponding to the bill feature attribution degree evaluation index. The larger the bill shape attribution degree evaluation index, the higher the degree of fit in terms of shape between the successfully uploaded bill and the bill category corresponding to the bill shape attribution degree evaluation index; the smaller the bill shape attribution degree evaluation index, the lower the degree of fit in terms of shape between the successfully uploaded bill and the bill category corresponding to the bill shape attribution degree evaluation index. The larger the bill code attribution degree evaluation index, the higher the degree of fit in terms of digital coding between the successfully uploaded bill and the bill category corresponding to the bill code attribution degree evaluation index; the smaller the bill code attribution degree evaluation index, the lower the degree of fit in terms of digital coding between the successfully uploaded bill and the bill category corresponding to the bill code attribution degree evaluation index.

[0050] The technical solutions in the embodiments of the present application at least have the following technical effects or advantages: Compared with a sorting control system disclosed in the invention patent application with the publication number CN113821002A, in the embodiments of the present application, the bill sorting situation is analyzed according to the bill category fit degree evaluation index and bill sorting is performed, so as to clarify the specific bill category of the successfully uploaded bill, and thus the successfully uploaded bill can be quickly sorted into the specific bill category, thereby realizing the quick and accurate sorting of financial bills; Compared with a method, device and sorter for matching the speed of the movement module of a sorter disclosed in the invention patent application with the publication number CN113671903A, in the embodiments of the present application, the bill category fit degree evaluation index is obtained according to the bill supervision index data, and the bill category fit degree evaluation index is obtained by analyzing from three aspects of the bill feature attribution degree evaluation index, the bill shape attribution degree evaluation index and the bill code attribution degree evaluation index, so that the bill category fit degree evaluation index is more comprehensive, and thus more accurate bill sorting is realized through the bill category fit degree evaluation index.

[0051] Those skilled in the art should understand that the embodiments of the present invention can be provided as a method, a system, or a computer program product. Therefore, the present invention can take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware aspects. Moreover, the present invention can 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.

[0052] The present invention is described with reference to the flowcharts and / or block diagrams of systems, apparatus (systems), and computer program products according to embodiments of the invention. It should be understood that each flow and / or block in the flowcharts and / or block diagrams, and combinations of flows and / or blocks in the flowcharts and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to the processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing device to produce a machine, such that the instructions executed by the processor of the computer or other programmable data processing device generate means for implementing the functions specified in the flow Figure 1 one or more flows and / or blocks Figure 1 or means for implementing the functions specified in one or more blocks.

[0053] These computer program instructions can also be stored in a computer-readable memory that can direct a computer or other programmable data processing device to operate in a particular manner, such that the instructions stored in the computer-readable memory produce a manufacture including instruction means that implement the functions specified in the flow Figure 1 one or more flows and / or blocks Figure 1 or means for implementing the functions specified in one or more blocks.

[0054] These computer program instructions can also be loaded onto a computer or other programmable data processing device, such that a series of operational steps are performed on the computer or other programmable device to produce a computer-implemented process, and thus the instructions executed on the computer or other programmable device provide steps for implementing the functions specified in the flow Figure 1 one or more flows and / or blocks Figure 1 or means for implementing the functions specified in one or more blocks.

[0055] Although the preferred embodiments of the present invention have been described, additional changes and modifications can be made to these embodiments by those skilled in the art once they learn of the basic creative concept. Therefore, the appended claims are intended to be construed to include the preferred embodiments and all changes and modifications that fall within the scope of the present invention.

[0056] 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 equivalent technologies, 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, Including: A module for obtaining undetermined parameters, a module for calculating the delivery index, a module for undetermined analysis, a module for obtaining parameters, a module for calculating the index, and an analysis module; The module for obtaining undetermined parameters: used to obtain the parameter data of the bill to be uploaded; The module for calculating the delivery index: used to obtain the bill delivery upload success index according to the parameter data of the bill to be uploaded; The module for undetermined analysis: used to analyze the upload situation of the bill to be uploaded according to the bill delivery upload success index; The module for obtaining parameters: used to obtain the parameter data of the successfully uploaded bill according to the upload situation of the bill to be uploaded; The module for calculating the index: used to obtain the bill category matching degree evaluation index according to the parameter data of the successfully uploaded bill. The specific analysis process is as follows: obtain all the successfully uploaded bills in the upload situation of the uploaded bill, and obtain the parameter data of the successfully uploaded bill of the successfully uploaded bill; analyze the parameter data of the uploaded bill to obtain the bill supervision index data, and the bill supervision index data includes the bill feature attribution degree evaluation index, the bill shape attribution degree evaluation index, and the bill code attribution degree evaluation index; obtain the bill category matching degree evaluation index according to the bill supervision index data; the bill feature attribution degree evaluation index represents the data for comprehensively evaluating the bill feature attribution degree of the successfully uploaded bill through the number of features included in the bill area, the number of attribution features included in the bill area, and the number of attribution words included in the bill area; the bill shape attribution degree evaluation index represents the data for comprehensively evaluating the bill shape attribution degree of the successfully uploaded bill through the bill length data, the bill width data, the bill top margin data, and the bill left margin data; the bill code attribution degree evaluation index represents the data for comprehensively evaluating the bill code attribution degree of the successfully uploaded bill through the bill code digital data and the bill number digital data; the bill category matching degree evaluation index represents the data for comprehensively evaluating the bill category matching degree of the successfully uploaded bill through the bill feature attribution degree evaluation index, the bill shape attribution degree evaluation index, and the bill code attribution degree evaluation index; 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 and perform text processing to obtain the number of features owned by the successfully uploaded bill area, and use it as the number of features included in the bill area; obtain the number of features owned by the successfully uploaded bill, that is, the number of features included in the bill; obtain the features owned by the bill category, and find out the number of features that appear in both the area and the bill category through screening, and use it as the number of attribution features included in the bill area; Compare the text in the successfully uploaded bill area with the text of the bill category, count the text in the successfully uploaded bill area that appears in the bill category, and use the statistical result as the number of words belonging to the bill area; obtain the total number of words in the successfully uploaded bill area, which is the number of words included in the bill area; compare the number of feature quantities included in the bill area of the successfully uploaded bill with the number of feature quantities included in the bill, compare the number of feature quantities belonging to the bill area with the number of feature quantities included in the bill area, and compare the number of words belonging to the bill area with the number of words included in the bill area. Accumulate the comparison results of all areas of the successfully uploaded bill and conduct comprehensive analysis to obtain the evaluation index of the degree of bill feature attribution. The analysis module: used to analyze the bill sorting situation according to the evaluation index of the bill category matching degree and conduct bill sorting.

2. The automatic sorting control system for financial bills according to claim 1, wherein The specific analysis process of the bill delivery and upload success index is as follows: Scan the bill to be uploaded to obtain the existing area of the bill to be uploaded. Obtain the complete area of the bill to be uploaded by getting the length and width of the bill to be uploaded. Compare the existing area with the complete area to obtain the comparison result, and use it as the data of the completeness of the bill to be uploaded. Obtain the area data of the recognizable area of the bill to be uploaded, the number of recognizable text words of the bill to be uploaded, and the number of text words to be recognized of the bill to be uploaded by scanning the bill to be uploaded. Obtain the standard completeness data of the bill upload requirement and the standard recognizable area data of the bill upload requirement. Compare the completeness data of the bill to be uploaded with the standard completeness data of the bill upload requirement, compare the recognizable area data of the bill to be uploaded with the standard recognizable area data of the bill upload requirement, and compare the number of recognizable text words of the bill to be uploaded and the number of text words to be recognized of the bill to be uploaded. Accumulate the comparison results and conduct comprehensive analysis to obtain the bill delivery and upload success index of the bill to be uploaded. The bill delivery and upload success index represents the data for comprehensively evaluating the success degree of the bill delivery and upload of the bill to be uploaded based on the completeness data of the bill to be uploaded, the recognizable area data of the bill to be uploaded, and the number of recognizable text words of the bill to be uploaded.

3. The automatic sorting control system for financial bills according to claim 1, characterized in that The specific analysis process of analyzing the upload situation of the bill to be uploaded according to the bill delivery and upload success index is as follows: Obtain the bill delivery and upload success index of all bills to be uploaded, obtain the upload success threshold, and compare each bill to be uploaded with the upload success threshold. When the bill delivery and upload success index is greater than or equal to the upload success threshold, it means that the bill to be uploaded can be successfully uploaded; in other cases, it means that the bill to be uploaded fails to be uploaded.

4. The automatic sorting control system for financial bills according to claim 1, wherein The specific analysis process of the bill category matching degree evaluation index is as follows: Obtain the evaluation index of the degree of bill feature attribution, the evaluation index of the degree of bill shape attribution, and the evaluation index of the degree of bill code attribution of the successfully uploaded bill. Accumulate the evaluation index of the degree of bill feature attribution, the evaluation index of the degree of bill shape attribution, and the evaluation index of the degree of bill code attribution and conduct comprehensive analysis to obtain the bill category matching degree evaluation index.

5. The automatic sorting control system for financial bills according to claim 1, wherein The specific analysis process of the evaluation index of the degree of belonging of the bill shape is as follows: Obtain the bill length data, bill width data, top margin data of the bill, and left margin data of the bill of the successfully uploaded bill. Obtain the bill category length data, bill category width data, top margin data of the bill category, and left margin data of the bill category 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 top margin data of the bill with the top margin data of the bill category, and compare the left margin data of the bill with the left margin data of the bill category. Accumulate the comparison results and conduct comprehensive analysis to obtain the evaluation index of the degree of belonging of the bill shape.

6. The automatic sorting control system for financial bills according to claim 1, wherein The specific method for obtaining the successful index of bill delivery and upload is as follows: Obtain the bill to be uploaded and number the bill to be uploaded. Construct a calculation formula for the successful index of bill delivery and upload. The specific calculation formula for the successful index of bill delivery and upload is: ， Wherein, represents the bill delivery and upload success index of the th bill to be uploaded, , represents the total number of bills to be uploaded, represents the bill integrity data of the th bill to be uploaded, represents the standard integrity data required for bill upload, represents the area data of the recognizable area of the th bill to be uploaded, represents the standard recognizable area data required for bill upload, represents the number of recognizable text characters of the th bill to be uploaded, represents the number of text characters to be recognized for the bill to be uploaded, and respectively represent the weight ratios of the bill integrity data, the recognizable area data of the bill to be uploaded, and the number of recognizable text characters of the bill to be uploaded in the bill delivery and upload success index.

7. The automatic sorting control system for financial bills according to claim 1, wherein The specific method for obtaining the evaluation index of the degree of fit of the bill category is as follows: Obtain the number of all bills that can be successfully uploaded and number the successfully uploaded bills. Obtain all the categories of financial bills in the database and number the financial bill categories. Construct a calculation formula for the evaluation index of the degree of fit of the bill category. The specific calculation formula for the evaluation index of the degree of fit of the bill category is: ， Wherein, represents the evaluation index of the degree of fit of the th successfully uploaded bill belonging to the th category of bill categories, , represents the total number of successfully uploaded bills, , represents the total number of financial bill categories, represents the evaluation index of the degree of attribution of the characteristics of the th successfully uploaded bill belonging to the th category of bill categories, represents the evaluation index of the degree of attribution of the shape of the th successfully uploaded bill belonging to the th category of bill categories, represents the evaluation index of the degree of attribution of the code of the th successfully uploaded bill belonging to the th category of bill categories, and respectively represent the proportion of the evaluation index of the degree of attribution of characteristics, the evaluation index of the degree of attribution of the shape, and the evaluation index of the degree of attribution of the code in the evaluation index of the degree of fit of bill categories.

8. The automatic sorting control system for financial bills according to claim 1, wherein The specific process of analyzing the bill sorting situation and sorting the bills according to the evaluation index of the degree of fit of the bill category is as follows: Obtain the evaluation index of the degree of fit of the bill category obtained by analyzing the successfully uploaded bill and all the financial bill categories. Arrange all the evaluation indexes of the degree of fit of the bill category in descending order. Thus, extract the evaluation index of the degree of fit of the bill category ranked first. The bill category corresponding to this evaluation index of the degree of fit of the bill category is the belonging category of the successfully uploaded bill. Sort the successfully uploaded bill into the belonging category, and the sorting is completed.

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