CN115511473A - Intelligent letter management method, system and storage medium based on big data - Google Patents

Intelligent letter management method, system and storage medium based on big data Download PDF

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CN115511473A
CN115511473A CN202211363454.6A CN202211363454A CN115511473A CN 115511473 A CN115511473 A CN 115511473A CN 202211363454 A CN202211363454 A CN 202211363454A CN 115511473 A CN115511473 A CN 115511473A
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letter
audit
service
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CN115511473B (en
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李明
王毛路
刘爱国
王琪
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Beijing Consensus Digital Information Technology Co ltd
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Beijing Consensus Digital Information Technology Co ltd
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Abstract

The invention provides a method, a system and a storage medium for intelligent letter management based on big data, wherein the method comprises the following steps: establishing an intelligent letter management information base; acquiring relevant data of the audit based on a big data information platform, and constructing a letter directory of the audit in an intelligent letter management information base; determining the content of the letter and establishing a letter folder; selecting an adaptive inquiry letter template based on the contents of the letter to fill the contents and sign a seal; scanning to form a first scanning piece, inputting the first scanning piece into a corresponding letter folder, and simultaneously transferring an inquiry letter paper file to a letter unit; receiving an inquiry letter signed by a letter unit, scanning to form a second scanning piece, respectively comparing the similarity of the second scanning piece with all the first scanning pieces based on an image recognition technology, and replacing the first scanning piece with the highest similarity by the second scanning piece to finish letter work. The invention can realize systematic and intelligent management of letter service.

Description

Intelligent letter management method, system and storage medium based on big data
Technical Field
The invention relates to the technical field of network communication and data processing, in particular to a smart letter management method, a smart letter management system and a smart letter management storage medium based on big data.
Background
The letter refers to the process of acquiring and evaluating audit evidence, such as a letter corresponding to a receipt balance or bank deposit, by directly declaring relevant information and existing conditions from a third party in order to acquire information affecting a financial statement or related disclosure and determination of items by a registered accountant. The letter is an important auditing program for registering accountants to obtain auditing evidences, and is mainly used for performing auditing and qualification checking services. Evidence obtained through letters is highly reliable, and thus letters are an important program that is highly valued and often used.
Letters can be classified into the following:
1. a bank letter: the bank credit system is characterized by comprising inquiry letters sent out by a deposit bank and a borrowing bank of an audited person so as to verify the bank credit balance, the existence and the ownership of the audited person on a specific date and the balance, the integrity and the valuation of the borrowing.
2. Lawyer letter: the inquiry letter issued by lawyers providing legal service for audited persons and the law affairs where the lawyers are located is used for checking whether the audited persons have any pending lawsuits on a specific date and the influence thereof and the settlement of lawyer fees.
3. Enterprise letter: and issuing an inquiry letter to the creditor and the debtor of the auditee to verify the existence and the right or obligation of the creditor or the debt of the auditee on a specific date. Enterprise enquiries typically include the balance of money to and from both parties until a particular date.
4. Other letters: an inquiry issued to other institutions, such as insurance companies, stock exchanges, to verify the terms of an insurance contract by an auditor, negotiable securities held, or registered capital conditions, etc.
However, for an auditing unit to process a large amount of auditing services in a certain time, each auditing service may involve a plurality of letter items, and the letters are respectively connected with different audited units and letter units, the traditional auditing unit completely manages the management mode of each letter by means of manual recording, namely, each accountant manages the letter data responsible for the accountant, so that the auditing unit lacks systematic and intelligent management of the letter data, and is difficult to perform global management on all letter items of each auditing service.
Disclosure of Invention
In order to solve at least one technical problem, the invention provides a smart letter management method, a smart letter management system and a storage medium based on big data, which replace the traditional letter management mode depending on manual recording, can realize systematic and smart management of each letter data of different audit businesses by an audit unit, realize the management of the whole life cycle of letter data circulation, and meet the overall management of each audit business by the audit unit.
The invention provides a first aspect of a smart letter management method based on big data, which comprises the following steps:
establishing an intelligent letter management information base;
acquiring relevant data of the audit of the audited unit based on a big data information platform, and constructing a letter directory of the audit in an intelligent letter management information base;
determining a letter range about the audit, determining the contents of the letter, and respectively establishing letter folders under corresponding letter directories according to the contents of the letter;
based on the content of the confirmed letter, selecting a matched inquiry letter template from a template database, and sending the inquiry letter template to an audited unit for filling the content and signing;
receiving a signed inquiry letter returned by an audited unit, scanning the inquiry letter to form a first scanning piece, inputting the first scanning piece into a corresponding letter folder, setting the flag bit of the letter folder to be 0, simultaneously transferring a paper file of the inquiry letter to the audited unit, and carrying out letter approval on the received inquiry letter by the audited unit;
receiving an inquiry letter signed by a letter unit, scanning to form a second scanning piece, comparing the second scanning piece with all first scanning pieces in an intelligent letter management information base one by one on the basis of an image recognition technology to find out the first scanning piece with the highest similarity, replacing the first scanning piece with the second scanning piece with the highest similarity, and updating the flag bit of a corresponding letter folder to be 1;
and when the zone bits of all letter folders in the letter directory of the audit are updated to be 1, the letter work of the audit is completed.
In this scheme, the paper document of inquiry letter is handed over to the unit of letter to be certified, specifically includes:
presetting various ways to transfer the paper document of the inquiry letter to the unit to be letter;
acquiring letter requirement items of a letter unit, and acquiring candidate ways meeting the letter requirement items from multiple ways;
respectively acquiring the letter cost, letter duration and letter risk of each candidate path;
presetting a cost grade transposition table, a duration grade transposition table and a risk grade transposition table, and carrying out grade conversion through the corresponding grade transposition table based on the letter cost, the letter duration and the letter risk to respectively obtain a letter cost grade, a letter duration grade and a letter risk grade;
based on the service requirement of the audit, obtaining the influence weight of the cost, the duration and the risk on the audit, and carrying out normalization processing on each influence weight;
multiplying the letter cost grade, letter duration grade and letter risk grade of each candidate path by corresponding influence weights respectively, and accumulating the products to obtain a weight score of each candidate path;
and (4) sorting according to the weight, and selecting a candidate path with the highest score to forward the inquiry letter paper file.
In this scheme, acquire letter cost, letter duration and letter risk in every candidate way respectively, specifically include:
constructing a cost prediction model, a duration prediction model and a risk prediction model;
acquiring basic information of each candidate path;
and respectively predicting to obtain corresponding letter cost, letter duration and letter risk through a cost prediction model, a duration prediction model and a risk prediction model based on the basic information of each candidate path.
In this scheme, after obtaining the corresponding letter duration obtained by prediction, the method further includes:
acquiring a plurality of historical letter data based on the same way mode, wherein each historical letter data at least comprises letter starting position information, letter destination position information, topographic information between two positions, historical weather environment information and historical real letter duration;
obtaining topographic information and historical weather environment information between two positions of a current candidate path, and performing feature calculation to obtain a first feature value;
respectively carrying out feature calculation on topographic information and historical weather environment information between two positions of each historical letter data to obtain a second feature value;
respectively calculating the difference between the first characteristic value and each second characteristic value, and adding historical function data of which the difference is smaller than a first preset threshold value into a correction database;
based on letter initial position information, letter target position information, terrain information between two positions and historical weather environment information of each historical letter data in a correction database, and outputting corresponding historical prediction letter duration through a duration prediction model;
based on each historical function data in the correction database, respectively subtracting the historical prediction function duration from the historical real function duration to obtain a difference value;
averaging the difference values of the plurality of historical function data in the correction database to obtain a corrected value;
and adding a correction value on the basis of predicting the corresponding letter duration to obtain the corrected letter duration.
In this embodiment, after the letter folders are respectively established in the corresponding letter directories according to the contents of the letter, the method further comprises:
presetting a plurality of letter folders, wherein each letter folder corresponds to a letter service;
each letter service of the audit comprises a plurality of working items, each working item of each letter service is respectively compared with corresponding working items of other letter services of the audit, and if the difficulty coefficient of the former is greater than that of the latter, the resource demand degree of the corresponding working item of the former letter service is increased by one;
comparing each work item of each letter service of the audit with corresponding work items of other letter services respectively;
after the comparison is completed, counting the resource demand score of each work item of each letter service;
acquiring resource demand weights of a plurality of working items, and normalizing the resource demand weights of the plurality of working items to obtain a plurality of normalized resource demand weights;
on the basis of each letter service, multiplying the resource demand score of each working item by the corresponding resource demand weight, and accumulating the products to obtain a resource demand comprehensive score;
performing normalization processing based on the resource demand comprehensive scores of the letter services to obtain resource allocation proportions of the letter services;
presetting the letter input resource total amount of the audit, and multiplying the letter input resource total amount by the resource allocation proportion of each letter service respectively to obtain the resource allocation amount of each letter service.
In this embodiment, after the scanning is performed to form a first scanning piece, the first scanning piece is recorded into a corresponding letter folder, and the flag bit of the letter folder is set to 0, the method further includes:
acquiring all letter folders with 0 flag bits in the intelligent letter management information base in a preset time period, extracting corresponding letter services from the letter folders, and presetting a corresponding direct responsible person bound to each letter service;
extracting coordinate position information of a corresponding letter unit from each letter service;
performing clustering analysis on all the extracted coordinate position information based on a density clustering algorithm to obtain a plurality of clustering groups and a clustering center of each clustering group;
acquiring coordinate position information closest to a corresponding clustering center based on each clustering group, and determining corresponding letter service as target letter service based on the closest coordinate position information;
acquiring a direct responsible person having a binding relation with each target letter service based on each target letter service, and taking the direct responsible person as a group leader of the clustering group;
and uniformly processing all letter services of the corresponding cluster group by each group leader.
The second aspect of the present invention further provides an intelligent letter management system based on big data, which includes a memory and a processor, wherein the memory includes a program of the intelligent letter management method based on big data, and when executed by the processor, the program of the intelligent letter management method based on big data implements the following steps:
constructing an intelligent letter management information base;
acquiring related data of the audit of an audited unit based on a big data information platform, and constructing a letter catalog of the audit in an intelligent letter management information base;
determining a letter range about the audit, determining the contents of the letter, and respectively establishing letter folders under corresponding letter directories according to the contents of the letter;
based on the content of the confirmed letter, selecting an adaptive inquiry letter template from a template database, and sending the inquiry letter template to an audited unit for filling and signing the content;
receiving a signed inquiry letter returned by an audited unit, scanning the inquiry letter to form a first scanning piece, inputting the first scanning piece into a corresponding letter folder, setting the flag bit of the letter folder to be 0, simultaneously transferring a paper file of the inquiry letter to the audited unit, and using the audited unit to perform letter certification on the received inquiry letter;
receiving an inquiry letter signed by a letter unit, scanning to form a second scanning piece, comparing the second scanning piece with all first scanning pieces in an intelligent letter management information base one by one on the basis of an image recognition technology to find out the first scanning piece with the highest similarity, replacing the first scanning piece with the second scanning piece with the highest similarity, and updating the flag bit of a corresponding letter folder to be 1;
and when the zone bits of all letter folders in the letter directory of the audit are updated to be 1, the letter work of the audit is completed.
In this scheme, the paper document of inquiry letter is handed over to the unit of letter to be certified, specifically includes:
presetting a plurality of ways to transfer the inquiry letter paper file to the letter unit;
acquiring letter requirement items of a letter unit, and acquiring candidate ways meeting the letter requirement items from multiple ways;
respectively acquiring the letter cost, letter duration and letter risk of each candidate path;
presetting a cost grade transposition table, a duration grade transposition table and a risk grade transposition table, and carrying out grade conversion through the corresponding grade transposition table based on the letter cost, the letter duration and the letter risk to respectively obtain a letter cost grade, a letter duration grade and a letter risk grade;
based on the service requirement of the audit, obtaining the influence weight of the cost, the duration and the risk on the audit, and carrying out normalization processing on each influence weight;
multiplying the letter cost grade, letter duration grade and letter risk grade of each candidate path by corresponding influence weights respectively, and accumulating the products to obtain a weight score of each candidate path;
and (4) sorting according to the weight, and selecting a candidate path with the highest score to forward the inquiry letter paper file.
In the scheme, after letter folders are respectively established under corresponding letter directories according to the contents of letters, the intelligent letter management method based on big data further realizes the following steps when the program is executed by the processor:
presetting a plurality of letter folders, wherein each letter folder corresponds to a letter service;
each letter service of the audit comprises a plurality of working items, each working item of each letter service is respectively compared with corresponding working items of other letter services of the audit, and if the difficulty coefficient of the former is greater than that of the latter, the resource demand degree of the corresponding working item of the former letter service is increased by one;
comparing each work item of each letter service of the audit with corresponding work items of other letter services respectively;
after the comparison is completed, counting the resource demand score of each work item of each letter service;
acquiring resource demand weights of a plurality of working items, and normalizing the resource demand weights of the plurality of working items to obtain a plurality of normalized resource demand weights;
on the basis of each letter service, multiplying the resource demand score of each working item by the corresponding resource demand weight, and accumulating the products to obtain a resource demand comprehensive score;
carrying out normalization processing based on the resource demand comprehensive scores of the letter services to obtain resource allocation proportions of the letter services;
and presetting the letter input resource total amount of the audit, and multiplying the letter input resource total amount by the resource allocation proportion of each letter service respectively to obtain the resource allocation amount of each letter service.
In a third aspect of the present invention, a computer-readable storage medium is further provided, where the computer-readable storage medium includes a big data-based intelligent letter management method program, and when the big data-based intelligent letter management method program is executed by a processor, the steps of the big data-based intelligent letter management method are implemented.
The intelligent letter management method, the intelligent letter management system and the storage medium based on the big data replace the traditional letter management mode depending on manual recording, can realize systematic and intelligent management of letter data of different auditing services by auditing units, realize the management of the whole life cycle of letter data circulation, and meet the overall management of the auditing services by the auditing units.
Additional aspects and advantages of the invention will be set forth in part in the description which follows, and in part will be obvious from the description, or may be learned by practice of the invention.
Drawings
FIG. 1 is a flow chart of a big data based intelligent letter management method of the present invention;
FIG. 2 is a block diagram of a big data based intelligent letter management system according to the present invention.
Detailed Description
In order that the above objects, features and advantages of the present invention can be more clearly understood, a more particular description of the invention, taken in conjunction with the accompanying drawings and detailed description, is set forth below. It should be noted that the embodiments and features of the embodiments of the present application may be combined with each other without conflict.
In the following description, numerous specific details are set forth in order to provide a thorough understanding of the present invention, however, the present invention may be practiced in other ways than those specifically described herein, and therefore the scope of the present invention is not limited by the specific embodiments disclosed below.
FIG. 1 is a flow chart of a big data based intelligent letter management method of the present invention.
As shown in fig. 1, a first aspect of the present invention provides a big data-based intelligent letter management method, including:
s102, constructing an intelligent letter management information base;
s104, acquiring relevant data of the audit of the audited unit based on the big data information platform, and constructing a letter directory of the audit in the intelligent letter management information base;
s106, determining a letter range about the audit, determining letter contents, and respectively establishing letter folders under corresponding letter directories according to the letter contents;
s108, based on the content of the confirmed letter, selecting an adaptive inquiry letter template from a template database, and sending the inquiry letter template to an audited unit for filling and signing the content;
s110, receiving signed and signed inquiry letter returned by an audited unit, scanning the inquiry letter to form a first scanning piece, inputting the first scanning piece into a corresponding letter folder, setting the flag bit of the letter folder to be 0, simultaneously transferring the paper file of the inquiry letter to the audited unit, and using the audited unit to letter the received inquiry letter;
s112, receiving the inquiry letter signed by the letter unit, scanning to form a second scanning piece, comparing the second scanning piece with all the first scanning pieces in the intelligent letter management information base one by one based on the image identification technology, finding out the first scanning piece with the highest similarity, replacing the first scanning piece with the second scanning piece with the highest similarity, and updating the flag bit of the corresponding letter folder to 1;
and S114, when the flag bits of all letter folders in the letter directory of the audit are updated to be 1, the letter work of the audit is completed.
It is understood that relevant material for the audit includes, but is not limited to: enterprise subject balance list, bank statement, bank account list and enterprise credit report. The opened bank account list and the enterprise credit report are generally obtained by an auditor and an enterprise financial staff going to a people bank or a bank where a basic account is located.
The content of the letter may include account balances and other letter content.
Account balance: and accurately filling account information and balance according to the statement information of the bank at the end of the report period. If foreign currency exists, the information of the amount and currency of the original currency needs to be filled in.
Other letter contents: according to the enterprise credit report and the enterprise subject balance table provided by the enterprise, checking whether other items needing letter such as loan, financing, bank acceptance draft and the like exist. If so, the enterprise is requested to provide related data (to communicate with the colleagues responsible for long and short term borrowing, payable bills and other related subjects in the project group in advance, so as to avoid repeated request for data). If the content of the enterprise credit report is not consistent with the balance list of the enterprise subject, verification is carried out.
It should be noted that by respectively recording letter related data of each stage into the database, the invention can realize that audit units carry out systematized and intelligent management on each letter data of different audit businesses, replaces the traditional letter management mode depending on manual recording, realizes the management of the whole life cycle of letter data circulation, and meets the overall management of each audit business by the audit units.
It can be understood that when the letter content of an audit service is judged whether to complete the letter, the judgment is carried out through the zone bit of the corresponding letter data folder, if the zone bit is 1, the letter content is proved to be complete, otherwise, the letter content is not complete. The invention simplifies the management mode of various letter contents and effectively avoids the problem of letter omission.
According to the embodiment of the invention, the method for transferring the paper file of the inquiry letter to the letter-to-be-certified unit specifically comprises the following steps:
presetting various ways to transfer the paper document of the inquiry letter to the unit to be letter;
acquiring letter requirement items of a letter unit, and acquiring candidate ways meeting the letter requirement items from multiple ways;
respectively acquiring the letter cost, letter duration and letter risk of each candidate path;
presetting a cost grade transposition table, a duration grade transposition table and a risk grade transposition table, and carrying out grade conversion through the corresponding grade transposition table based on the letter cost, the letter duration and the letter risk to respectively obtain a letter cost grade, a letter duration grade and a letter risk grade;
based on the service requirement of the audit, obtaining the influence weight of the cost, the duration and the risk on the audit, and carrying out normalization processing on each influence weight;
multiplying the letter cost grade, letter duration grade and letter risk grade of each candidate path by corresponding influence weight respectively, and accumulating the products to obtain the weight score of each candidate path;
and (4) sorting according to the weight, and selecting a candidate path with the highest score to forward the inquiry letter paper file.
The letter cost is the total cost spent in the process of pointing to the letter unit to send the letter to receive the letter, and comprises the route cost, the postage cost and the like. The letter duration is the time period from the issuance of the letter to the receipt of the letter by the letter unit. The letter risk refers to the risk degree from the letter issuing of the letter to the successful receipt of the letter, such as the risk of data loss. It will be appreciated that the risk level of a personal letter is lower than that of a postal letter.
It should be noted that different auditing services have different service requirements in different scenarios, for example, if some auditing needs to be completed within a short time, the influence weight of the duration is relatively high; in another example, there is a cost requirement for auditing the business definition, and the weight of the cost influence is relatively high.
It will be appreciated that the cost of a letter, the length of a letter, and the risk of a letter may be translated into rank values of the same dimension by a rank transpose table. In the grade transposition process, reverse transposition is adopted, namely the longer the time spent in the letter process (mainly including the time spent in the round trip of the inquiry letter), the lower the letter time grade converted by the grade transposition table is, and otherwise, the higher the letter time grade is; similarly, the higher the letter cost is, the lower the letter cost grade after conversion is, and otherwise, the higher the letter cost is.
According to the embodiment of the invention, the method for respectively obtaining the letter cost, the letter duration and the letter risk of each candidate path comprises the following steps:
constructing a cost prediction model, a duration prediction model and a risk prediction model;
acquiring basic information of each candidate path;
and respectively predicting to obtain corresponding letter cost, letter duration and letter risk through a cost prediction model, a duration prediction model and a risk prediction model based on the basic information of each candidate path.
It can be understood that the basic information of the candidate routes includes letter initial position information, letter destination position information, topographic information between two positions, current weather environment information (including weather information, solar terms information, such as holidays), and attribute information of the candidate routes, wherein the attribute information includes route modes (personal letters or letter mails), if the candidate routes are personal letters, the attribute information further includes vehicle types, and if the candidate routes are letter mails, the attribute information further includes mailing units.
According to an embodiment of the present invention, after obtaining the corresponding letter duration predicted, the method further comprises:
acquiring a plurality of historical letter data based on the same way mode, wherein each historical letter data at least comprises letter starting position information, letter destination position information, topographic information between two positions, historical weather environment information and historical real letter duration;
obtaining topographic information and historical weather environment information between two positions of a current candidate path, and performing feature calculation to obtain a first feature value;
respectively carrying out feature calculation on topographic information and historical weather environment information between two positions of each historical letter data to obtain a second feature value;
respectively calculating the difference between the first characteristic value and each second characteristic value, and adding historical function data with the difference smaller than a first preset threshold value into a correction database;
based on letter initial position information, letter target position information, terrain information between two positions and historical weather environment information of each historical letter data in a correction database, and outputting corresponding historical prediction letter duration through a duration prediction model;
based on each historical function data in the correction database, respectively subtracting the historical prediction function duration from the historical real function duration to obtain a difference value;
averaging the difference values of the plurality of historical function data in the correction database to obtain a correction value;
and adding a correction value on the basis of predicting the corresponding letter duration to obtain the corrected letter duration.
It is understood that the same approach manner is based on the approach manner of the candidate approach of the predictive subject, and if the candidate approach is an in-person correspondence, the historical correspondence data of all in-person correspondence is obtained from the historical database.
It should be noted that, in the duration model prediction process, because sample data of model training is limited, the accuracy of model prediction may be deviated, and the method calculates the deviation of predicted duration based on the difference between the historical actual duration of the historical letter data and the historical predicted duration of the letter data, and corrects the current predicted duration based on the deviation, thereby obtaining more accurate duration of the letter.
According to an embodiment of the present invention, after the letter folders are respectively established under the corresponding letter directories according to the contents of the letter, the method further comprises:
presetting a plurality of letter folders, wherein each letter folder corresponds to a letter service;
each letter service of the audit comprises a plurality of working items, each working item of each letter service is respectively compared with corresponding working items of other letter services of the audit, and if the difficulty coefficient of the former is greater than that of the latter, the resource requirement degree of the corresponding working item of the former letter service is increased by one;
comparing each work item of each letter service of the audit with corresponding work items of other letter services respectively;
after the comparison is completed, counting the resource demand score of each working item of each letter service;
acquiring resource demand weights of a plurality of working items, and normalizing the resource demand weights of the plurality of working items to obtain a plurality of normalized resource demand weights;
on the basis of each letter service, multiplying the resource demand score of each working item by the corresponding resource demand weight, and accumulating the products to obtain a resource demand comprehensive score;
carrying out normalization processing based on the resource demand comprehensive scores of the letter services to obtain resource allocation proportions of the letter services;
presetting the letter input resource total amount of the audit, and multiplying the letter input resource total amount by the resource allocation proportion of each letter service respectively to obtain the resource allocation amount of each letter service.
It will be appreciated that the work items of the letter may include letter material preparation, execution of letter procedures, and the corresponding equivalence of other external interference factors. It can be understood that different work items have different resource requirements, for example, the letter data preparation work has a smaller resource requirement than the letter process, so the letter data preparation work has a smaller resource requirement weight, and the letter process has a larger resource requirement weight.
It can be understood that because the resources of the registered accountants are limited, each letter content needs different resource allocation according to the difficulty degree of the letter content, the difficulty of some letters is higher, the required resources are more, the difficulty of some letters is lower, and the required resources are less. The invention carries out balanced resource distribution on each letter service through a preset algorithm. The resources of the invention can comprise input human resources, input cost resources and the like.
According to an embodiment of the present invention, after the scanned first scanned document is entered into the corresponding letter folder and the flag bit of the letter folder is set to 0, the method further comprises:
acquiring all letter folders with 0 flag bits in the intelligent letter management information base in a preset time period, extracting corresponding letter services from the letter folders, and presetting a corresponding direct responsible person bound to each letter service;
extracting coordinate position information corresponding to a letter unit from each letter service;
performing clustering analysis on all the extracted coordinate position information based on a density clustering algorithm to obtain a plurality of clustering groups and a clustering center of each clustering group;
acquiring coordinate position information closest to a corresponding clustering center based on each clustering group, and determining corresponding letter service as target letter service based on the closest coordinate position information;
acquiring a direct responsible person having a binding relation with each target letter service based on each target letter service, and taking the direct responsible person as a group leader of the clustering group;
and uniformly processing all letter services of the corresponding cluster group by each group leader.
It should be noted that, because different letter businesses point to corresponding by letter unit respectively, in the time quantum of predetermineeing, the letter unit of being letter business may have certain gathering nature, because the finiteness of audit unit resource, handle a plurality of letter businesses one by one, obviously can waste more resource, be same bank or two banks close apart from like the letter unit of being letter business directional, if handle two letter businesses respectively, then can cause extravagant more human cost, time cost. The invention counts all the letter services to be handled in the intelligent letter management information base, performs clustering based on the coordinate position of the corresponding letter unit to be handled, and performs unified handling by the corresponding group leader based on the clustering group, thereby saving the labor and time cost.
According to the specific embodiment of the present invention, after the completion of the letter work of the audit, the method further includes:
acquiring a plurality of letter services which are completed in a preset time period, and respectively carrying out characteristic calculation on related data information of the letter services to obtain a plurality of characteristic values;
performing clustering analysis through a density clustering algorithm based on the plurality of characteristic values to obtain a plurality of clustering characteristic centers;
taking a letter service closest to the clustering feature center as a key letter service, and acquiring an original letter template of the key letter service;
taking the relevant data information of the key letter service as the source information of a new letter template;
extracting template information in the source information of the new letter template according to a semantic recognition technology to obtain a new letter template;
and replacing the original letter template in the template database by the new letter template.
It can be appreciated that the original letter template is the letter template used by the key letter service in the initial letter making process. However, adjustments may be made during the letter making process based on the current status or current environment of the respective enterprise. According to the method, the updating conditions of different enterprises in the preset time period based on the original letter template are counted, and the template is updated in a self-adaptive mode, so that the letter template which meets the requirements of the enterprises better is obtained, and the letter making complexity is simplified.
FIG. 2 is a block diagram of a big data based intelligent letter management system according to the present invention.
As shown in fig. 2, the second aspect of the present invention further provides a big data based intelligent letter management system, the big data based intelligent letter management system 2 includes a memory 21 and a processor 22, the memory includes a big data based intelligent letter management method program, and the big data based intelligent letter management method program when executed by the processor implements the following steps:
establishing an intelligent letter management information base;
acquiring relevant data of the audit of the audited unit based on a big data information platform, and constructing a letter directory of the audit in an intelligent letter management information base;
determining a letter range about the audit, determining the contents of the letter, and respectively establishing letter folders under corresponding letter directories according to the contents of the letter;
based on the content of the confirmed letter, selecting an adaptive inquiry letter template from a template database, and sending the inquiry letter template to an audited unit for filling and signing the content;
receiving a signed inquiry letter returned by an audited unit, scanning the inquiry letter to form a first scanning piece, inputting the first scanning piece into a corresponding letter folder, setting the flag bit of the letter folder to be 0, simultaneously transferring a paper file of the inquiry letter to the audited unit, and using the audited unit to perform letter certification on the received inquiry letter;
receiving an inquiry letter signed by a letter unit, scanning to form a second scanning piece, comparing the second scanning piece with all first scanning pieces in an intelligent letter management information base one by one on the basis of an image recognition technology to find out the first scanning piece with the highest similarity, replacing the first scanning piece with the second scanning piece with the highest similarity, and updating the flag bit of a corresponding letter folder to be 1;
and when the zone bits of all letter folders in the letter directory of the audit are updated to be 1, the letter work of the audit is completed.
According to the embodiment of the invention, the method for transferring the paper file of the inquiry letter to the letter-to-be-certified unit specifically comprises the following steps:
presetting a plurality of ways to transfer the inquiry letter paper file to the letter unit;
acquiring letter requirement items of a letter unit, and acquiring candidate ways meeting the letter requirement items from multiple ways;
respectively acquiring the letter cost, letter duration and letter risk of each candidate path;
presetting a cost grade transposition table, a duration grade transposition table and a risk grade transposition table, and carrying out grade conversion through the corresponding grade transposition table based on the letter cost, the letter duration and the letter risk to respectively obtain a letter cost grade, a letter duration grade and a letter risk grade;
based on the service requirement of the audit, obtaining the influence weight of the cost, the duration and the risk on the audit, and carrying out normalization processing on each influence weight;
multiplying the letter cost grade, letter duration grade and letter risk grade of each candidate path by corresponding influence weights respectively, and accumulating the products to obtain a weight score of each candidate path;
and (4) sorting according to the weight, and selecting a candidate path with the highest score to forward the inquiry letter paper file.
According to an embodiment of the present invention, after the letter folders are respectively established under the corresponding letter directories according to the contents of the letter, the big data based intelligent letter management method further realizes the following steps when the program is executed by the processor:
presetting a plurality of letter folders, wherein each letter folder corresponds to a letter service;
each letter service of the audit comprises a plurality of working items, each working item of each letter service is respectively compared with corresponding working items of other letter services of the audit, and if the difficulty coefficient of the former is greater than that of the latter, the resource demand degree of the corresponding working item of the former letter service is increased by one;
comparing each work item of each letter service of the audit with corresponding work items of other letter services respectively;
after the comparison is completed, counting the resource demand score of each work item of each letter service;
acquiring resource demand weights of a plurality of working items, and normalizing the resource demand weights of the plurality of working items to obtain a plurality of normalized resource demand weights;
based on each letter service, multiplying the resource demand score of each working item by the corresponding resource demand weight, and accumulating the products to obtain a resource demand comprehensive score;
performing normalization processing based on the resource demand comprehensive scores of the letter services to obtain resource allocation proportions of the letter services;
and presetting the letter input resource total amount of the audit, and multiplying the letter input resource total amount by the resource allocation proportion of each letter service respectively to obtain the resource allocation amount of each letter service.
In a third aspect of the present invention, a computer-readable storage medium is further provided, where the computer-readable storage medium includes a big data-based intelligent letter management method program, and when the big data-based intelligent letter management method program is executed by a processor, the steps of the big data-based intelligent letter management method are implemented.
The intelligent letter management method, system and storage medium based on big data provided by the invention replace the traditional letter management mode depending on manual recording, can realize systematic and intelligent management of letter data of different audit businesses by audit units, realize the management of the whole life cycle of letter data circulation, and meet the overall management of each audit business by the audit units.
In the several embodiments provided in the present application, it should be understood that the disclosed apparatus and method may be implemented in other ways. The above-described device embodiments are merely illustrative, for example, the division of the unit is only a logical functional division, and there may be other division ways in actual implementation, such as: multiple units or components may be combined, or may be integrated into another system, or some features may be omitted, or not implemented. In addition, the coupling, direct coupling or communication connection between the components shown or discussed may be through some interfaces, and the indirect coupling or communication connection between the devices or units may be electrical, mechanical or other forms.
The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units; can be located in one place or distributed on a plurality of network units; some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, all functional units in the embodiments of the present invention may be integrated into one processing unit, or each unit may be separately used as one unit, or two or more units may be integrated into one unit; the integrated unit may be implemented in the form of hardware, or in the form of hardware plus a software functional unit.
Those of ordinary skill in the art will understand that: all or part of the steps of implementing the method embodiments may be implemented by hardware related to program instructions, and the program may be stored in a computer-readable storage medium, and when executed, executes the steps including the method embodiments; and the aforementioned storage medium includes: a mobile storage device, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and other various media capable of storing program codes.
Alternatively, the integrated unit of the present invention may be stored in a computer-readable storage medium if it is implemented in the form of a software functional module and sold or used as a separate product. Based on such understanding, the technical solutions of the embodiments of the present invention may be essentially implemented or a part contributing to the prior art may be embodied in the form of a software product, which is stored in a storage medium and includes several instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the methods described in the embodiments of the present invention. And the aforementioned storage medium includes: a removable storage device, a ROM, a RAM, a magnetic or optical disk, or various other media that can store program code.
The above description is only for the specific embodiments of the present invention, but the scope of the present invention is not limited thereto, and any person skilled in the art can easily conceive of the changes or substitutions within the technical scope of the present invention, and all the changes or substitutions should be covered within the scope of the present invention. Therefore, the protection scope of the present invention shall be subject to the protection scope of the appended claims.

Claims (10)

1. A big data-based intelligent letter management method is characterized by comprising the following steps:
establishing an intelligent letter management information base;
acquiring relevant data of the audit of the audited unit based on a big data information platform, and constructing a letter directory of the audit in an intelligent letter management information base;
determining letter ranges about the audit, determining letter contents, and respectively establishing letter folders under corresponding letter directories according to the letter contents;
based on the content of the confirmed letter, selecting a matched inquiry letter template from a template database, and sending the inquiry letter template to an audited unit for filling the content and signing;
receiving a signed inquiry letter returned by an audited unit, scanning the inquiry letter to form a first scanning piece, inputting the first scanning piece into a corresponding letter folder, setting the flag bit of the letter folder to be 0, simultaneously transferring a paper file of the inquiry letter to the audited unit, and using the audited unit to perform letter certification on the received inquiry letter;
receiving an inquiry letter signed by a letter unit, scanning to form a second scanning piece, comparing the second scanning piece with all first scanning pieces in an intelligent letter management information base one by one on the basis of an image recognition technology to find out the first scanning piece with the highest similarity, replacing the first scanning piece with the second scanning piece with the highest similarity, and updating the flag bit of a corresponding letter folder to be 1;
and when the flag bits of all letter folders in the letter directory of the audit are updated to be 1, the letter work of the audit is completed.
2. The intelligent letter management method based on big data as claimed in claim 1, wherein the transferring of the paper document of the letter-enquiry letter to the unit being letter-certified specifically comprises:
presetting a plurality of ways to transfer the inquiry letter paper file to the letter unit;
acquiring letter requirement items of a letter unit, and acquiring a candidate path meeting the letter requirement items from multiple paths;
respectively acquiring the letter cost, letter duration and letter risk of each candidate path;
presetting a cost grade transposition table, a duration grade transposition table and a risk grade transposition table, and carrying out grade conversion through the corresponding grade transposition table based on the letter cost, the letter duration and the letter risk to respectively obtain a letter cost grade, a letter duration grade and a letter risk grade;
based on the service requirement of the audit, obtaining the influence weight of the cost, the duration and the risk on the audit, and carrying out normalization processing on each influence weight;
multiplying the letter cost grade, letter duration grade and letter risk grade of each candidate path by corresponding influence weight respectively, and accumulating the products to obtain the weight score of each candidate path;
and (4) sorting according to the weight, and selecting a candidate path with the highest score to forward the inquiry letter paper file.
3. The intelligent letter management method based on big data of claim 2, wherein the step of obtaining the letter cost, the letter duration and the letter risk of each candidate route respectively comprises:
constructing a cost prediction model, a duration prediction model and a risk prediction model;
acquiring basic information of each candidate path;
and respectively predicting to obtain corresponding letter cost, letter duration and letter risk through a cost prediction model, a duration prediction model and a risk prediction model based on the basic information of each candidate path.
4. The intelligent big-data-based letter management method of claim 3, wherein after obtaining the predicted corresponding letter duration, the method further comprises:
acquiring a plurality of historical letter data based on the same way mode, wherein each historical letter data at least comprises letter starting position information, letter destination position information, topographic information between two positions, historical weather environment information and historical real letter duration;
obtaining topographic information and historical weather environment information between two positions of a current candidate way, and performing feature calculation to obtain a first feature value;
respectively carrying out feature calculation on topographic information and historical weather environment information between two positions of each historical letter data to obtain a second feature value;
respectively calculating the difference between the first characteristic value and each second characteristic value, and adding historical function data of which the difference is smaller than a first preset threshold value into a correction database;
based on letter initial position information, letter target position information, terrain information between two positions and historical weather environment information of each historical letter data in a correction database, and outputting corresponding historical prediction letter duration through a duration prediction model;
based on each historical function data in the correction database, respectively subtracting the historical prediction function duration from the historical real function duration to obtain a difference value;
averaging the difference values of the plurality of historical function data in the correction database to obtain a corrected value;
and adding a correction value on the basis of predicting the corresponding letter duration to obtain the corrected letter duration.
5. The intelligent big-data-based letter management method of claim 1, wherein after creating letter folders under corresponding letter directories according to the contents of the letter, said method further comprises:
presetting a plurality of letter folders, wherein each letter folder corresponds to a letter service;
each letter service of the audit comprises a plurality of working items, each working item of each letter service is respectively compared with corresponding working items of other letter services of the audit, and if the difficulty coefficient of the former is greater than that of the latter, the resource requirement degree of the corresponding working item of the former letter service is increased by one;
comparing each work item of each letter service of the audit with corresponding work items of other letter services;
after the comparison is completed, counting the resource demand score of each work item of each letter service;
acquiring resource demand weights of a plurality of working items, and normalizing the resource demand weights of the plurality of working items to obtain a plurality of normalized resource demand weights;
based on each letter service, multiplying the resource demand score of each working item by the corresponding resource demand weight, and accumulating the products to obtain a resource demand comprehensive score;
performing normalization processing based on the resource demand comprehensive scores of the letter services to obtain resource allocation proportions of the letter services;
presetting the letter input resource total amount of the audit, and multiplying the letter input resource total amount by the resource allocation proportion of each letter service respectively to obtain the resource allocation amount of each letter service.
6. The intelligent big-data-based letter management method of claim 1, wherein the scanned letter data is entered into a corresponding letter folder as a first scanning object, and after the flag bit of the letter folder is set to 0, the method further comprises:
acquiring all letter folders with 0 flag bits in the intelligent letter management information base in a preset time period, extracting corresponding letter services from the letter folders, and presetting a corresponding direct responsible person bound to each letter service;
extracting coordinate position information of a corresponding letter unit from each letter service;
performing clustering analysis on all the extracted coordinate position information based on a density clustering algorithm to obtain a plurality of clustering groups and a clustering center of each clustering group;
acquiring coordinate position information closest to a corresponding clustering center based on each clustering group, and determining corresponding letter service as target letter service based on the closest coordinate position information;
acquiring a direct responsible person having a binding relation with each target letter service based on each target letter service, and taking the direct responsible person as a group leader of the clustering group;
and uniformly processing all letter services of the corresponding cluster group by each group leader.
7. A big data-based intelligent letter management system is characterized by comprising a memory and a processor, wherein the memory comprises a big data-based intelligent letter management method program, and the big data-based intelligent letter management method program realizes the following steps when being executed by the processor:
constructing an intelligent letter management information base;
acquiring relevant data of the audit of the audited unit based on a big data information platform, and constructing a letter directory of the audit in an intelligent letter management information base;
determining letter ranges about the audit, determining letter contents, and respectively establishing letter folders under corresponding letter directories according to the letter contents;
based on the content of the confirmed letter, selecting an adaptive inquiry letter template from a template database, and sending the inquiry letter template to an audited unit for filling and signing the content;
receiving a signed inquiry letter returned by an audited unit, scanning the inquiry letter to form a first scanning piece, inputting the first scanning piece into a corresponding letter folder, setting the flag bit of the letter folder to be 0, simultaneously transferring a paper file of the inquiry letter to the audited unit, and using the audited unit to perform letter certification on the received inquiry letter;
receiving a letter-inquiry letter signed by a letter-receiving unit, scanning to form second scanning elements, comparing the second scanning elements with all the first scanning elements in the intelligent letter management information base one by one on the basis of an image recognition technology to find out the first scanning element with the highest similarity, replacing the first scanning element with the second scanning element with the highest similarity, and updating the flag bit of the corresponding letter folder to be 1;
and when the zone bits of all letter folders in the letter directory of the audit are updated to be 1, the letter work of the audit is completed.
8. The intelligent letter management system according to claim 7, wherein the system for transferring the paper document of the letter of inquiry to the unit to be letter comprises:
presetting a plurality of ways to transfer the inquiry letter paper file to the letter unit;
acquiring letter requirement items of a letter unit, and acquiring candidate ways meeting the letter requirement items from multiple ways;
respectively acquiring the letter cost, letter duration and letter risk of each candidate path;
presetting a cost grade transposition table, a duration grade transposition table and a risk grade transposition table, and carrying out grade conversion through the corresponding grade transposition table based on the letter cost, the letter duration and the letter risk to respectively obtain a letter cost grade, a letter duration grade and a letter risk grade;
based on the service requirement of the audit, obtaining the influence weight of the cost, the duration and the risk on the audit, and carrying out normalization processing on each influence weight;
multiplying the letter cost grade, letter duration grade and letter risk grade of each candidate path by corresponding influence weight respectively, and accumulating the products to obtain the weight score of each candidate path;
and (4) sorting according to the weight scores, and selecting a candidate path with the highest score to hand over the inquiry letter paper file.
9. The intelligent big-data-based letter management system of claim 7, wherein said big-data-based intelligent letter management method program when executed by said processor further implements the following steps after establishing letter folders under the corresponding letter directories, respectively, according to the contents of the letter:
presetting a plurality of letter folders, wherein each letter folder corresponds to a letter service;
each letter service of the audit comprises a plurality of working items, each working item of each letter service is respectively compared with corresponding working items of other letter services of the audit, and if the difficulty coefficient of the former is greater than that of the latter, the resource demand degree of the corresponding working item of the former letter service is increased by one;
comparing each work item of each letter service of the audit with corresponding work items of other letter services;
after the comparison is completed, counting the resource demand score of each work item of each letter service;
acquiring resource demand weights of a plurality of working items, and normalizing the resource demand weights of the plurality of working items to obtain a plurality of normalized resource demand weights;
on the basis of each letter service, multiplying the resource demand score of each working item by the corresponding resource demand weight, and accumulating the products to obtain a resource demand comprehensive score;
performing normalization processing based on the resource demand comprehensive scores of the letter services to obtain resource allocation proportions of the letter services;
and presetting the letter input resource total amount of the audit, and multiplying the letter input resource total amount by the resource allocation proportion of each letter service respectively to obtain the resource allocation amount of each letter service.
10. A computer-readable storage medium, wherein the computer-readable storage medium includes a big-data-based intelligent letter management method program, and when the big-data-based intelligent letter management method program is executed by a processor, the steps of the big-data-based intelligent letter management method according to any one of claims 1 to 6 are implemented.
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