Data processing method and device, computer equipment and storage medium

Abstract

The invention belongs to the technical field of data processing, and relates to a data processing method which comprises the following steps: judging whether a processing request triggered by a user and corresponding to a target credit certificate is received or not; if yes, credit information corresponding to the target credit is acquired based on a pre-constructed data processing pool; based on a pre-constructed workflow engine, performing data processing on the credit card information according to a preset credit card business processing flow to obtain credit card business data corresponding to the target credit card; performing statistical processing on the credit card service data based on a preset statistical strategy to obtain corresponding statistical data; calling a pre-constructed display interface; and performing display processing on the statistical data in the display interface. The invention further provides a data processing device, computer equipment and a storage medium. According to the method and the device, the business processing of the credit card can be efficiently, accurately and automatically completed, and the data processing efficiency of the credit card is effectively improved.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of data processing, and can be applied to the business fields of financial management and enterprise financial informatization, and particularly relates to a data processing method and device, a computer device and a storage medium. BACKGROUND

[0002] In domestic and foreign trade activities, as an important payment and settlement tool, the letter of credit plays a key role. The letter of credit is a commitment to pay for the matching trade documents opened by the opening bank at the request of the applicant, and its core value lies in using bank credit as a guarantee, effectively solving the trust problem caused by information asymmetry and commercial credit differences between the two parties, and greatly promoting the smooth completion of the transaction.

[0003] However, in the existing letter of credit management work, there are obvious drawbacks in the way of processing the letter of credit. At present, most of the letter of credit business processing highly depends on manual operation, and the business personnel need to manually complete a series of tedious work such as letter of credit information input, review, transfer record, data statistics and the like. This traditional manual operation mode makes the business personnel face huge workload, not only consumes a lot of time and energy, but also easily leads to the occurrence of human errors. Moreover, due to the limitation of manual operation, the data processing efficiency of the letter of credit is extremely low. In the busy period, a large number of letter of credit business accumulates, and the manual processing speed cannot meet the actual demand, resulting in the extension of the letter of credit business processing period, affecting the transaction efficiency, and even the economic loss of the two parties due to the delay in processing.

[0004] Therefore, how to improve the management efficiency of the letter of credit and reduce the workload of the business personnel has become a technical problem to be solved in the current letter of credit business processing field. SUMMARY

[0005] The purpose of the embodiments of the present application is to provide a data processing method, device, computer device and storage medium to solve the technical problem of low data processing efficiency of the existing letter of credit.

[0006] In a first aspect, a data processing method is provided, comprising:

[0007] determining whether a processing request triggered by a user and corresponding to a target letter of credit is received;

[0008] if yes, obtaining letter of credit information corresponding to the target letter of credit based on a pre-constructed data processing pool;

[0009] performing data processing on the letter of credit information according to a preset letter of credit business processing flow based on a pre-constructed workflow engine, to obtain letter of credit business data corresponding to the target letter of credit;

[0010] The credit certificate business data is statistically processed based on a preset statistical strategy, and corresponding statistical data is obtained.

[0011] A pre-constructed display interface is called.

[0012] The statistical data is displayed in the display interface.

[0013] In a second aspect, a data processing apparatus is provided, comprising:

[0014] A judging module is configured to judge whether a processing request corresponding to a target credit certificate triggered by a user is received.

[0015] A first obtaining module is configured to, if so, obtain credit certificate information corresponding to the target credit certificate based on a pre-constructed data processing pool.

[0016] A processing module is configured to perform data processing on the credit certificate information based on a pre-constructed workflow engine and a preset credit certificate business processing flow, so as to obtain credit certificate business data corresponding to the target credit certificate.

[0017] A statistical module is configured to perform statistical processing on the credit certificate business data based on a preset statistical strategy, so as to obtain corresponding statistical data.

[0018] A first calling module is configured to call a pre-constructed display interface.

[0019] A display module is configured to display the statistical data in the display interface.

[0020] In a third aspect, a computer device is provided, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, and the processor implements the steps of the above data processing method when executing the computer program.

[0021] In a fourth aspect, a computer readable storage medium is provided, and the computer readable storage medium stores a computer program, and the computer program implements the steps of the above data processing method when executed by a processor.

[0022] In the scheme implemented by the above-mentioned data processing method, device, computer equipment and storage medium, it is first determined whether a processing request corresponding to the target letter of credit triggered by the user is received; if so, the letter of credit information corresponding to the target letter of credit is obtained based on the pre-built data processing pool; then, based on the pre-built workflow engine, the letter of credit information is processed according to the preset letter of credit business processing flow to obtain the letter of credit business data corresponding to the target letter of credit; then, based on the preset statistical strategy, the letter of credit business data is statistically processed to obtain corresponding statistical data; subsequently, a pre-built display interface is called; and finally, the statistical data is displayed and processed in the display interface. Based on the above-mentioned automated processing flow, after receiving a processing request corresponding to the target letter of credit triggered by the user, the present application will automatically obtain the letter of credit information corresponding to the target letter of credit based on the use of the pre-built data processing pool, and based on the use of the pre-built workflow engine, the letter of credit information is processed according to the preset letter of credit business processing flow to obtain the letter of credit business data corresponding to the target letter of credit, then the letter of credit business data is statistically processed based on the use of the statistical strategy to obtain corresponding statistical data, and finally, the statistical data is displayed and processed based on the use of the display interface. In this way, this application can achieve efficient, accurate and automated business processing of letters of credit through the combined use of data processing pool, workflow engine, letter of credit business processing flow, statistical strategy and display interface, effectively improving the data processing efficiency and management efficiency of letters of credit. BRIEF DESCRIPTION OF THE DRAWINGS

[0023] In order to more clearly illustrate the solutions in this application, a brief introduction will be given below to the drawings required for use in the description of the embodiments of this application. Obviously, the drawings described below are some embodiments of this application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without any creative work.

[0024] Figure 1 is an exemplary system architecture diagram to which the present application may be applied;

[0025] Figure 2 is a flow chart of an embodiment of a data processing method according to the present application;

[0026] Figure 3 is a structural diagram of an embodiment of a data processing device according to the present application;

[0027] Figure 4 It is a structural diagram of an embodiment of a computer device according to the present application. DETAILED DESCRIPTION

[0028] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this application belongs; the terms used in the specification are intended to describe the particular embodiments and are not intended to limit the application; the terms "include" and "have" and their any variations used in the specification and the claims and the above description of drawings are intended to cover the non-exclusive inclusion; the terms "first", "second" and the like used in the specification and the claims and the above description of drawings are intended to distinguish different objects, not to describe a particular order.

[0029] Reference herein to "embodiment" means that a particular feature, structure, or characteristic described in connection with an embodiment can be included in at least one embodiment of the application. The appearances of the phrase in various places in the specification are not necessarily all referring to the same embodiment, nor are they necessarily mutually exclusive of one another. It is expressly understood that the embodiments described herein are merely examples and are not intended to limit the scope of the application.

[0030] In order to make the person skilled in the art better understand the scheme of the present application, the technical solutions in the embodiments of the present application will be described clearly and completely in conjunction with the drawings below.

[0031] As shown in Figure 1 The system architecture 100 can include a terminal device 101, a network 102 and a server 103, and the terminal device 101 can be a notebook computer 1011, a tablet computer 1012 or a mobile phone 1013. The network 102 is a medium for providing a communication link between the terminal device 101 and the server 103. The network 102 can include various connection types, such as wired, wireless communication links or optical fiber cables, etc.

[0032] The user can use the terminal device 101 to interact with the server 103 through the network 102 to receive or send messages, etc. Various communication client applications can be installed on the terminal device 101, such as web browser applications, shopping applications, search applications, instant messaging tools, email clients, social platform software, etc.

[0033] The terminal device 101 can be various electronic devices with a display screen and supporting web browsing, in addition to the notebook computer 1011, the tablet computer 1012 or the mobile phone 1013, the terminal device 101 can also be an electronic book reader, an MP3 player (Moving Picture Experts Group Audio Layer III), an MP4 player (Moving Picture Experts Group Audio Layer IV), a laptop computer and a desktop computer, etc.

[0034] The server 103 can be a server providing various services, for example, a background server providing support for a page displayed on the terminal device 101.

[0035] It should be noted that the data processing method provided by the embodiments of the present application is generally executed by a server / terminal device, and correspondingly, the data processing apparatus is generally arranged in the server / terminal device.

[0036] It should be understood that Figure 1 The number of terminal devices, networks and servers in

[0037] With reference to Figure 2 , a flow chart of one embodiment of the data processing method according to the present application is shown. The order of the steps in the flow chart can be changed according to different needs, and some steps can be omitted. The data processing method provided by the embodiments of the present application can be applied to any scenario requiring credit-related data processing, and then the data processing method can be applied to products in these scenarios, including the following steps:

[0038] Step S201: determining whether a processing request corresponding to a target credit and triggered by a user is received.

[0039] In the present embodiment, the electronic device (for example, the terminal device 101 or the server 103) on which the data processing method runs can be any electronic device capable of running the data processing method, and the electronic device can be a terminal device or a server. Figure 1The server / terminal device shown) can obtain a user-triggered processing request corresponding to the target letter of credit through a wired connection or a wireless connection. It should be noted that the wireless connection can include, but is not limited to, 3G / 4G / 5G connection, WiFi connection, Bluetooth connection, WiMAX connection, Zigbee connection, UWB (ultra wideband) connection, and other now known or future developed wireless connection. The execution subject of the present application can be a data processing system, also known as a letter of credit management application general console, which can be referred to as a system. The system is responsible for letter of credit management business. The user can be a business staff of an enterprise, such as a financial staff. After receiving the letter of credit sent by the customer, the user registers the letter of credit in the letter of credit management application general console, enters the basic information of the letter of credit such as the letter of credit number, issuing bank, amount, validity period, etc., and triggers the processing request corresponding to the letter of credit. The system will then perform a series of corresponding business processes on the letter of credit to generate letter of credit business data and display it.

[0040] In the system, a special registration interface can be established. The business staff enters the basic information of the letter of credit, such as the letter of credit number, issuing bank, beneficiary, amount, validity period, etc. in this interface. The system stores these information in the database, providing basic data support for subsequent business operations on the letter of credit.

[0041] Step S202, if yes, obtaining the letter of credit information corresponding to the target letter of credit based on a pre-constructed data processing pool.

[0042] In the present embodiment, the data processing pool is a special data processing pool system pre-built to provide data support for letter of credit business operation process, ensuring smooth flow of data between different business links and meeting the needs of each link for data.

[0043] The construction of the data processing pool includes: 1) constructing a letter of credit data processing pool: building a special data processing pool system, evaluating its carrying capacity and interactive response capacity according to the data volume during the business peak period. Design the architecture of the data pool, including data receiving module, storage module and processing module, to ensure that the letter of credit business data can be received and processed in time. 2) Meet the business attribute requirements: when designing the data pool table structure, fully consider the different attributes of the receivable letter of credit and the payable letter of credit, such as letter of credit type, payment method, and goods category. Ensure that the data pool can accommodate data of all business types and support data update operations. 3) Adopt row-to-column storage: when designing the storage table, for each business type with many corresponding attributes and volatility, adopt row-to-column storage. For example, different attributes of the letter of credit are used as columns, and each letter of credit instance is used as a row. This can ensure the integrity of the data and improve the flexibility of data processing.

[0044] Specifically, the data processing pool provides data support for each business operation process defined in the letter of credit business process, ensuring smooth data flow between different links and guaranteeing efficient business operation according to the established process. For example, in the letter of credit registration link: the system obtains relevant data from the constructed data processing pool to record the basic information of the letter of credit. For example, the data processing pool stores the format templates of letters of credit of different banks. When the enterprise receives the letter of credit, the system calls the corresponding template from the data pool according to the information of the issuing bank, automatically fills in part of the basic information, reduces manual input errors, and improves registration efficiency. For another example, in the letter of credit settlement arrangement link: rely on the data in the data processing pool to make settlement plan. The data pool contains the enterprise's fund account information, historical settlement data, etc. Business personnel can make reasonable settlement plan according to these data, combined with the amount, payment period and other requirements of the letter of credit, such as selecting appropriate financing mode and financing period.

[0045] Data flow examples include: in the letter of credit transfer payment link, when the enterprise decides to use the stock letter of credit for transfer payment, the system obtains the detailed information of the stock letter of credit (such as the remaining amount, validity period, etc.) from the data pool, and matches and calculates with the information of the current import letter of credit to determine the transferable payment amount, and transmits the relevant information to the subsequent opening of supplementary letter of credit link (if needed) and settlement processing link.

[0046] In step S203, based on the pre-constructed workflow engine, the letter of credit information is processed according to the preset letter of credit business process, and the letter of credit business data corresponding to the target letter of credit is obtained.

[0047] In this embodiment, the system manages the state and flow of the business process (letter of credit business process) through workflow engine, state tracking and other technologies. For example, the workflow engine is used to realize the automatic flow of the letter of credit opening, change, acceptance, payment and other business processes, and the state tracking is used to monitor the progress of the business process in real time, ensuring the smooth operation of the business process.

[0048] The specific processing procedure corresponding to the above letter of credit business processing procedure includes: 1. Letter of credit registration: a special registration interface is established, and business personnel enter the basic information of the letter of credit, such as the letter of credit number, the issuing bank, the beneficiary, the amount, the validity period, etc. in the interface, and the system stores these information in the database to provide basic data support for subsequent operations. 2. Letter of credit settlement arrangement: according to the registration information, the system automatically analyzes the settlement terms and payment conditions of the letter of credit, combines the enterprise's fund situation and business demand, formulates the settlement plan, such as determining the settlement date, the settlement mode (wire transfer, mail transfer, etc.), and notifies the relevant personnel. 3. Inventory letter of credit transfer payment: the system screens the inventory letter of credit and finds out the part that can be used for transfer payment. The business personnel initiate the transfer payment application, and the system automatically matches the appropriate letter of credit and generates the transfer payment instruction to complete the relevant account processing. 4. Letter of credit opening supplement: when the inventory letter of credit cannot meet the business demand, the business personnel submit the letter of credit application, fill in the details such as the issuing bank, the beneficiary, the amount, and the goods description, and after approval, the system generates the opening instruction and sends it to the bank for opening operation. 5. Letter of credit settlement processing: the system monitors the execution of the letter of credit in real time, and when the settlement conditions are met (such as the goods have been delivered, the documents have been audited and no errors are found, etc.), the settlement application is automatically generated, and after approval, the account processing is carried out to clean up the relevant business records. 6. Letter of credit expiration collection: before the expiration of the letter of credit, the system reminds the business personnel to prepare for the collection. After the expiration, the system automatically generates the collection instruction, tracks the collection progress, ensures that the funds are timely received, and updates the letter of credit status. 7. Letter of credit overview: the letter of credit overview page is developed to centrally display the basic information, status, amount, expiration date and other key information of all letter of credit businesses, facilitating the management personnel to comprehensively understand the letter of credit business situation.

[0049] In addition, the system processes the above letter of credit information in sequence according to all processing steps contained in the above letter of credit business processing procedure through a pre-constructed workflow engine, thereby obtaining all data related to the above target letter of credit, and integrating the obtained data to obtain corresponding letter of credit business data.

[0050] In step S204, the letter of credit business data is statistically processed based on a preset statistical strategy to obtain corresponding statistical data.

[0051] In this embodiment, the specific implementation process of the above statistical processing of the letter of credit business data based on the preset statistical strategy to obtain the corresponding statistical data will be further described in detail in subsequent specific embodiments, and will not be described here.

[0052] In step S205, a pre-constructed display interface is called.

[0053] In the embodiment, the specific implementation process of calling the pre-constructed display interface is further described in detail in subsequent embodiments, and is not described in detail here.

[0054] In step S206, the statistical data is displayed in the display interface.

[0055] In the embodiment, the specific implementation process of displaying the statistical data in the display interface is further described in detail in subsequent embodiments, and is not described in detail here.

[0056] Firstly, it is judged whether a processing request triggered by a user and corresponding to a target letter of credit is received. If yes, the letter of credit information corresponding to the target letter of credit is obtained based on a pre-constructed data processing pool. Then, the letter of credit information is processed based on a pre-constructed workflow engine according to a preset letter of credit business processing flow, so as to obtain letter of credit business data corresponding to the target letter of credit. Subsequently, the letter of credit business data is statistically processed based on a preset statistical strategy, so as to obtain corresponding statistical data. Subsequently, a pre-constructed display interface is called. Finally, the statistical data is displayed in the display interface. Based on the above automatic processing flow, after receiving the processing request triggered by the user and corresponding to the target letter of credit, the letter of credit information corresponding to the target letter of credit is automatically obtained based on the use of the pre-constructed data processing pool, the letter of credit information is processed based on the use of the pre-constructed workflow engine according to the preset letter of credit business processing flow, so as to obtain the letter of credit business data corresponding to the target letter of credit, the letter of credit business data is statistically processed based on the use of the statistical strategy, so as to obtain the corresponding statistical data, and finally the statistical data is displayed based on the use of the display interface. In this way, by using the data processing pool, the workflow engine, the letter of credit business processing flow, the statistical strategy and the display interface, the business processing of the letter of credit can be efficiently, accurately and automatically completed, and the data processing efficiency and the management efficiency of the letter of credit are effectively improved.

[0057] In some optional implementations, step S204 includes the following steps:

[0058] The main line of the business flow is filtered from the letter of credit business processing flow.

[0059] In this embodiment, the determination process of the business process main line includes: comprehensively analyzing the main process of the credit business by analyzing the above-mentioned credit business processing process, including but not limited to the core links such as opening, changing, accepting, paying, and clearing of the credit. Then, based on the analysis result, the main line framework of the credit business process is constructed, and the logical relationship and flow sequence between each link are determined. Then, the key nodes in the business process are identified, such as application submission, bank approval, and payment execution, as the key objects for data statistics. Subsequently, the business process main line is documented to form a process diagram or process description, which provides a clear framework reference for subsequent data statistics.

[0060] Determine a sub-process corresponding to the business process main line.

[0061] In this embodiment, the determination process of the above-mentioned sub-process includes: further refining the sub-process links for each main process (business process main line). For example, the opening of the credit may include sub-process links such as application submission, bank approval, and opening execution.

[0062] Obtain statistical indicators and statistical methods corresponding to the sub-process.

[0063] In this embodiment, the setting of the statistical indicators includes: designing specific statistical indicators for each sub-process link, such as: the number of processing pens: counting the number of credit processed by each sub-link. The processing amount: aggregating the total amount of credit involved in each sub-link. The processing time: calculating the average processing time or maximum / minimum processing time of each sub-link. The processing success rate: statistics of the success rate of each sub-link.

[0064] The determination of the statistical method includes: determining the method and source of data statistics, such as extracting data from the credit account records, or aggregating calculation through system logs. Specifically, the credit business data is classified and aggregated, such as aggregation according to the credit type, amount range, processing status, etc. dimensions. Apply statistical analysis methods such as mean, maximum, minimum, and total, etc. to deeply analyze the aggregated data and extract business insights.

[0065] Based on the statistical indicators and the statistical methods, the credit business data is statistically processed to obtain corresponding processing data.

[0066] In this embodiment, the above-mentioned credit business data can be statistically processed to generate various statistical reports such as daily reports, weekly reports, and monthly reports, etc. by using the above-mentioned statistical indicators and statistical methods, which are used as the above-mentioned processing data to show the processing situation of each sub-process link.

[0067] The processing data is used as the statistical data.

[0068] The application screens a business process main line from the L / C business process, determines a sub-process corresponding to the business process main line, then acquires statistical indexes and statistical methods corresponding to the sub-process, and then performs statistical processing on the L / C business data based on the statistical indexes and the statistical methods to obtain corresponding processing data, and subsequently takes the processing data as the statistical data. Based on the above processing procedure, the application screens a business process main line from the L / C business process, determines a sub-process corresponding to the business process main line, and then uses the acquired statistical indexes and statistical methods corresponding to the sub-process to automatically and accurately complete statistical processing on the L / C business data, improves the processing efficiency of data statistics, and ensures the accuracy of the obtained statistical data.

[0069] In some optional implementations of the embodiment, step S205 includes the following steps:

[0070] An initial user interface is acquired.

[0071] In the embodiment, the initial user interface is a user interface with a data display tool that is constructed in advance.

[0072] The initial user interface is adjusted based on a preset card layout strategy to obtain a specified user interface.

[0073] In the embodiment, the strategy content of the card layout strategy includes dividing different function modules into independent cards, and each card displays specific functions or information, such as to-do lists, statistical reports, and business processes. The style and layout of the cards are designed to ensure visual uniformity and aesthetics while maintaining the independence of the functions.

[0074] The initial user interface is adjusted based on the strategy content of the card layout strategy to obtain an adjusted specified user interface.

[0075] The specified user interface is optimized based on a preset interaction optimization strategy to obtain the display interface.

[0076] In the embodiment, the strategy content of the interaction optimization strategy includes following user interaction design principles such as consistency, feedback, and fault tolerance to optimize the user operation process. Intuitive navigation menus and buttons are designed to reduce the number of operation steps and cognitive burden of the user.

[0077] The specified user interface is optimized based on the strategy content of the interaction optimization strategy to obtain the required display interface.

[0078] Load the display interface based on the preset dynamic loading mode.

[0079] In the embodiment, the dynamic loading mode can be lazy loading or asynchronous loading technology to load relevant data or page content only when the user needs, improving the page loading speed. By using the dynamic loading mode to load the display interface, the resource request and response mechanism can be optimized, and unnecessary network delay can be reduced.

[0080] The application obtains a preset initial user interface, adjusts the initial user interface based on a preset card layout strategy to obtain a corresponding specified user interface, optimizes the specified user interface based on a preset interaction optimization strategy to obtain the display interface, and loads the display interface based on a preset dynamic loading mode. Based on the above processing procedure, the application can automatically and intelligently construct a user-friendly interface by using the card layout strategy and the interaction optimization strategy, facilitating user operation and information viewing, and improving the intelligence of the generated display interface. By using the dynamic loading mode to load the display interface, the page loading speed is effectively improved, thereby improving the user experience.

[0081] In some optional implementations, step S206 includes the following steps:

[0082] The preset visualization tool is called.

[0083] In the embodiment, the selection of the visualization tool is not specifically limited and can be determined according to actual business requirements, for example, any one of ECharts, Highcharts, and the like can be used.

[0084] The statistical data is converted into specified statistical data in a specified format based on the visualization tool.

[0085] In the embodiment, the selected visualization tool can be used to convert the statistical data to obtain specified statistical data in the form of intuitive charts.

[0086] A preset display strategy is obtained.

[0087] In the embodiment, the selection of the visualization tool is not specifically limited and can be determined according to actual business requirements, for example, diversified visualization display modes such as column chart, line chart, pie chart, and dashboard can be used to meet the viewing requirements of different business personnel. The system also provides chart interaction functions such as zooming, filtering, and exporting to enhance user experience.

[0088] Based on the display strategy, the specified statistical data is displayed in the display interface.

[0089] In this embodiment, the generated specified statistical data can be displayed in the display interface according to the selected display strategy.

[0090] The present application calls a preset visualization tool, and converts the statistical data into specified statistical data in a specified format based on the visualization tool. Then, a preset display strategy is obtained. Subsequently, the specified statistical data is displayed in the display interface based on the display strategy. Based on the above processing flow, the present application converts the statistical data into specified statistical data in a specified format based on the use of the visualization tool, and then displays the specified statistical data in the display interface based on the use of the display strategy. Thus, intelligent display of the statistical data can be achieved, and the display diversity and richness of the statistical data are improved, thereby improving the user experience.

[0091] In some optional implementations, after step S203, the electronic device can further perform the following steps:

[0092] After completing the data processing of the credit information, a preset specified information type is obtained.

[0093] In this embodiment, the specified information type can be configured according to actual account record construction requirements, for example, can include business processing details, related document information types, etc.

[0094] Based on the specified information type, specified related information corresponding to the target credit is extracted from the data processing pool.

[0095] In this embodiment, after completing the processing of each business link related to the credit information, the system extracts data related to the current target credit from the data processing pool according to the specified information type to obtain specified related information.

[0096] A preset account record construction strategy is obtained.

[0097] In this embodiment, the strategy content of the ledger record construction strategy includes: 1. Determine the data link carrier of the credit data. Ledger record design: design the format and content of the credit ledger record to ensure that the business process of the credit can be fully reflected. The ledger should include but not limited to the following fields: credit basic information: credit number, issuing bank, beneficiary, amount, validity period, etc. Business processing link: registration, settlement arrangement, transfer payment, opening of supplementary, settlement processing, due date collection, etc. Processing time: the specific time stamp of the beginning and end of each link. Processing personnel: the identification of the business personnel responsible for the processing of each link or automatic processing by the system. Processing result: the processing status or result description of each link, such as "success", "pending approval", "rejected", etc. Carrier selection: determine the credit ledger record as the main carrier of the data link to ensure its coherence and traceability in the entire business process. Data correlation: establish the association between the ledger record and the original data in the data processing pool to ensure that the original business data can be traced back through the ledger. 2. Supplement key information. Automatic data acquisition: after the completion of each business link processing, the system automatically extracts the data related to the current credit from the data processing pool, including business processing details, related document information, etc. Key information extraction: extract key information such as processing time, processing personnel, processing result from the processed data to ensure that these information can accurately reflect the execution of the business link. Information supplement mechanism: establish an information supplement mechanism to automatically or manually (according to business needs) supplement the extracted key information to the credit ledger record. For example: in the credit registration link, supplement the registration time and registration personnel information. In the settlement arrangement link, supplement the settlement plan development time and financial approval personnel information. In the transfer payment link, supplement the transfer instruction generation time and execution personnel information. Data consistency check: when supplementing information, perform data consistency check to ensure that the information in the ledger record is consistent with the actual business processing. 3. Form a complete ledger record. Business process tracking: by continuously supplementing the information of each business link, a complete business process tracking record of the credit from registration to final processing completion is formed. Link completeness check: periodically check the completeness of the link of the ledger record to ensure that the information of all business links has been correctly supplemented without omission or error. Data integrity protection: take data backup and recovery measures to protect the integrity and security of the ledger record to prevent data loss or damage. Record archiving management: after the completion of the credit business processing, the complete ledger record is archived for management to facilitate subsequent data statistics, query and audit requirements.

[0098] Based on the ledger record construction strategy, the specified related information is processed to generate a credit ledger record of the target credit.

[0099] In the embodiment, the specified related information is processed based on the account record construction strategy to generate the account record of the target letter of credit according to the account record construction strategy.

[0100] After the data processing of the letter of credit information is completed, the application obtains a preset specified information type, extracts the specified related information corresponding to the target letter of credit from the data processing pool based on the specified information type, obtains a preset account record construction strategy, and processes the specified related information based on the account record construction strategy to generate the account record of the target letter of credit. Based on the above processing procedure, after the data processing of the letter of credit information is completed, the application extracts the specified related information corresponding to the target letter of credit from the data processing pool based on the use of the specified information type, and processes the specified related information based on the use of the account record construction strategy, so that the complete and accurate account record of the target letter of credit can be automatically and intelligently generated, the generation intelligence and accuracy of the account record of the letter of credit are improved, and strong data support and decision basis are provided for the letter of credit business management of the enterprise.

[0101] In some optional implementation manners of the embodiment, after step S203, the electronic device can further perform the following steps:

[0102] A preset initial database is called.

[0103] In the embodiment, a suitable database type can be selected according to actual business storage requirements, such as a relational database (MySQL, Oracle) or a NoSQL database (MongoDB, Cassandra), and the initial database is used.

[0104] A preset table structure and index strategy are configured for the initial database to obtain a corresponding specified database.

[0105] In the embodiment, a reasonable database table structure and index strategy can be designed for the initial database according to actual requirements, so as to ensure efficient storage and query performance of data and improve data query efficiency. For example, indexes such as letter of credit number, issuing bank, and beneficiary are designed for the letter of credit account record table to facilitate fast query. In addition, a flexible data query interface is provided to support multi-condition combined query and fuzzy query, meet different retrieval requirements of users, and optimize query performance to reduce query response time through pre-computation and caching.

[0106] A preset data storage strategy is obtained.

[0107] In the embodiment, the policy content of the data storage strategy includes: o applying cache technology such as Redis, Memcached, etc. to cache hotspot data or frequently accessed data, so as to improve the data access speed. A cache update policy is designed to ensure the consistency of the cache data and the database data.

[0108] Based on the data storage strategy, the L / C business data is stored into the specified database.

[0109] In the embodiment, the storage process of storing the L / C business data into the specified database can be performed based on the policy content of the data storage strategy.

[0110] In addition, the system also develops a user-friendly data query interface to support the management personnel to query data according to different conditions. Various query conditions can be set in the query interface, such as time range (day, week, month, year), L / C type (spot, forward), business link (opening, payment), etc. The functions of the data query interface include: 1) providing diversified data display modes such as tables, charts (bar chart, line chart, pie chart), etc. to facilitate the management personnel to intuitively understand the data situation. 2) realizing flexible query function, allowing the management personnel to customize query condition combination to meet different statistical needs. 3) providing query result export function to support exporting statistical results in Excel, PDF, etc. format to facilitate subsequent analysis and reporting. 4) setting different query permissions according to the different responsibilities of the management personnel to ensure the security and privacy of the data.

[0111] The application calls a preset initial database, then configures a preset table structure and index strategy for the initial database to obtain a corresponding specified database, then acquires a preset data storage strategy, and subsequently stores the L / C business data into the specified database based on the data storage strategy. Based on the above processing procedure, the application configures a preset table structure and index strategy for the called initial database to obtain a corresponding specified database, and then stores the L / C business data into the specified database based on the use of the data storage strategy, so that efficient storage processing of the L / C business data can be realized, and the data security of the L / C business data is ensured.

[0112] In some optional implementation manners of the embodiment, after step S203, the electronic device can further perform the following steps:

[0113] A preset data update mode is acquired.

[0114] In the embodiment, the selection of the data update mode is not specifically limited, and can be determined according to actual business needs, for example, a timing polling or event-driven mode can be used.

[0115] trigger a data updating operation corresponding to the L / C business data based on the data updating mode, to obtain target L / C business data.

[0116] In this embodiment, the data updating operation on the L / C business data can be triggered according to the selected data updating mode, to obtain the target L / C business data generated in the business processing process.

[0117] update the L / C business data based on the target L / C business data.

[0118] In this embodiment, the L / C business data can be updated by using the obtained target L / C business data, to maintain the timeliness of the data and ensure that the latest data generated in the business processing process can be reflected in the management application console in real time.

[0119] The application obtains a preset data updating mode, triggers a data updating operation corresponding to the L / C business data based on the data updating mode, to obtain target L / C business data, and then updates the L / C business data based on the target L / C business data. Based on the above processing flow, the application triggers a data updating operation corresponding to the L / C business data based on the use of the data updating mode, and then automatically and intelligently updates the original L / C business data based on the obtained target L / C business data, so as to realize an intelligent data updating mechanism for the L / C business data, and effectively ensure the accuracy and timeliness of the L / C business data.

[0120] In some optional implementation manners of this embodiment, the system further provides an intelligent reminding function of personal pending processing, determines the pending quantity and displays the pending details by matching the approval role information in the L / C account record according to the post authority of the business operator, to facilitate the business personnel to quickly locate and process the pending items. The specific implementation process includes:

[0121] Match the post authority: set the post authority for each business operator in the system, determine the business scope that the personnel can handle according to the approval role information in the L / C account record. For example, the approval personnel can only handle the L / C business related to their own approval authority.

[0122] Statistics of pending quantity: the system can real-time statistics of the pending item quantity of each business personnel according to the matching result, and display in the pending item list, so that the business personnel can clearly understand the total number of pending items that need to be handled.

[0123] Displaying the pending details: business personnel can switch sub-process links to view the details of the corresponding pending items, including the specific content of the pending items, related credit information, processing requirements, etc. After processing, the system synchronously updates the approval process information and business information of the credit account record to ensure the accuracy and completeness of the record.

[0124] Through the above implementation manner, the personal pending processing function can efficiently match the post permissions of business personnel, and can realize real-time statistics and display of the pending items, help the business personnel quickly locate and process the work, and improve the overall business processing efficiency.

[0125] In some optional implementation manners, the obtained user information is obtained with the consent of the user and in accordance with relevant laws and relevant policies.

[0126] In addition, the non-company software tools or components appearing in the embodiments of the present application are only examples and do not represent actual use.

[0127] In addition, in order to solve the problem of clear business processing under different credit management application modes, based on the requirements of the whole life cycle management mode of credit and the enterprise treasury management method, the existing system function is optimized and arranged, the operation process of the receivable credit and the payable credit is integrated, and the credit management application general control panel is newly added, specifically including:

[0128] ①Credit business operation process integration design idea: guided by the credit wisdom consumption strategy, taking credit registration as the source, arranging credit settlement, giving priority to stock credit transfer payment, if the stock credit is insufficient, it can be supplemented by credit opening, and the credit that meets the clearing condition in the stock is processed, and after the credit expires, the corresponding processing is performed through the credit collection. All credit business processing is reflected in the credit overview. This design fits all business processes of receivable credit and payable credit according to the efficient credit circulation mechanism, realizes centralized display of business information and efficient business processing.

[0129] ②Credit data flow and interaction design ideas: build a credit data processing pool to load the data that needs to be processed, and evaluate the carrying capacity and interactive response capacity of the data pool according to the data volume of a certain business interval to ensure the normal receiving and processing needs of the credit business processing peak; At the same time, the data pool table needs to meet the needs of entering the data pool and updating the data pool for various business attributes of receivable credit and payable credit, and needs to form a set that can support all credit business types (credit collection registration / credit transfer / credit change / credit collection / credit negotiation / credit negotiation / credit opening / credit payment / credit acceptance / credit negotiation) The processing of business information needs, when designing the storage table, because each business type has many attributes and changes, the row-to-column method is used for storage to ensure the integrity and flexibility of the credit data processing pool.

[0130] ③Data processing design ideas in credit business process links: first determine a credit data link carrier-credit account record, based on the data received by the credit processing pool, then supplement the key information of the current link processing to the credit account record information after each business link processing, and finally form a complete credit account record with complete data information.

[0131] ④Data statistics design ideas in credit business process links: first determine the main line of credit business process, then display data according to the business processing logic of each main process corresponding to the sub-process link, and meet the credit management personnel's statistical query requirements for credit data processing.

[0132] ⑤Personal to-do design ideas: according to the post permission of the business operator, match the credit business approval role information in the credit account record, determine the corresponding to-do quantity statistics, and display the corresponding to-do detail data through switching sub-process links, which is convenient for quick positioning and efficient processing. After processing, update the credit account record approval process information and business information synchronously.

[0133] ⑥In order to meet the above 5 business processing requirements, through the design of "smart card + sub-process + to-do area", the technologies used include data processing and display, user interface design, process management, data storage and retrieval, real-time data update and push, permission management, front-end development, back-end development, security, performance optimization, etc. The efficient, accurate and user-friendly goals of card design are achieved.

[0134] Further, the application realizes the efficient, accurate and user-friendly operation of the credit management application general control console through various technical means, and guarantees the smooth progress of the credit processing process. The specific technical means include the following:

[0135] 1) Data processing and display technology.

[0136] Data aggregation and statistics: The card needs to aggregate and statistics the data of the credit business, through the number of pens of "completed", "to be processed", "processed" and other states. Dynamic data update: The card needs to update data in real time or regularly, through "current month" and "current user" for permission filtering and data change, and automatically refresh data when changing month.

[0137] Data visualization: The card uses charts (progress bars) or numbers to visually present the business processing situation.

[0138] 2) User interface (UI) design techniques.

[0139] Card layout: The smart card design uses modular layout to categorically display data of different business links.

[0140] Interaction design: The buttons on the smart card (such as "initiate change") support user interaction, supporting click to jump to specific business processes.

[0141] Dynamic loading: The card content supports dynamic loading according to user permissions or business status, ensuring that the content users see matches their roles.

[0142] 3) Process management techniques.

[0143] Workflow engine: The smart card involves multiple links of the credit business (such as "application", "approval", "accounting"), and the state and flow of the business process are managed through the self-developed workflow engine.

[0144] State tracking: The smart card needs to track the state of each credit (such as "to be processed", "processed"), which is achieved through credit state management technology.

[0145] 4) Data storage and retrieval techniques.

[0146] Database design: The data displayed by the smart card is stored in the database, and MySQL relational database is used for storage.

[0147] Data query and filtering: The smart card filters data according to conditions such as "current unit", "current month", "current user", using "index optimization + SQL query" efficient query technology.

[0148] Data caching: To improve performance, use Redis caching technology to store frequently accessed data, such as total number of pens, processed key indicator data.

[0149] 5) Real-time data update and push technology.

[0150] Each smart card needs to update data in real time (such as "pending" pen changes), and bidirectional communication is achieved through WebSocket.

[0151] Each smart card uses RabbitMQ message queue technology to push business events corresponding to each letter of credit business activity to the front end.

[0152] 6) Permission management technology.

[0153] Each smart card and sub-process link needs to display different data according to the user role (such as "current user"), and role-based permission control technology is used to achieve this.

[0154] The data displayed by each smart card and sub-process link needs to be isolated according to the "current unit" and "current user" to ensure that users can only see data within their permission scope.

[0155] 7) Front-end development technology.

[0156] Front-end framework: Each smart card is developed using the Vue.js front-end framework to achieve dynamic interaction and data binding.

[0157] Component-based development: Each smart card design uses a component-based development model, encapsulating different functional modules (such as "open registration" and "pending") as independent components for flexible reuse.

[0158] 8) Back-end development technology.

[0159] API design: Each smart card interacts with the back-end through RESTful API to obtain data and update status.

[0160] Business logic processing: Each smart card backend needs to handle complex business logic (such as letter of credit status changes and permission verification), and Java backend language is used to implement complex business logic processing.

[0161] 9) Performance optimization technology.

[0162] Load balancing: Each smart card needs to support high concurrency access, and uses Nginx load balancing technology to distribute requests, supporting several thousand people to perform business processing at the same time.

[0163] Distributed system: The letter of credit management console involves multiple business links and data sources, and uses a micro-service architecture to improve system scalability and availability.

[0164] In summary, according to the business processing demands of the letter of credit management operator, various business application modes of the letter of credit management are integrated, the existing system sub-functions are connected in series, the visualization of the whole link of the letter of credit management is realized, meanwhile, the function modules and attention indicators can be customized by users at different levels, the to-do list is displayed in all directions at different levels, and the business processing and information statistical demands of different units and different roles such as the group company, the letter of credit centralized management unit and the basic unit are met.

[0165] It should be understood that the size of the serial number of each step in the above embodiment does not mean the order of execution, and the execution order of each process should be determined according to its function and internal logic, and should not constitute any limitation on the implementation process of the embodiment of the application.

[0166] Those skilled in the art can understand that all or part of the processes in the above-mentioned embodiment methods can be completed by computer readable instructions instructing related hardware, and the computer readable instructions can be stored in a computer readable storage medium. When the program is executed, it can include the processes of the above-mentioned embodiment of each method. Among them, the storage medium can be a non-volatile storage medium such as a magnetic disk, an optical disk, a read-only memory (ROM), or a random access memory (RAM).

[0167] It should be understood that although each step in the flowchart of the accompanying drawings is displayed in sequence according to the arrow, these steps are not necessarily executed in sequence according to the arrow. Unless otherwise stated herein, the execution of these steps has no strict order limitation, and they can be executed in other orders. Moreover, at least part of the steps in the flowchart of the accompanying drawings can include multiple sub-steps or multiple stages, which are not necessarily executed at the same time, but can be executed at different times, and the execution order is not necessarily sequential, but can be executed in rotation or alternation with at least part of other steps or other steps, or stages.

[0168] Further referring to Figure 3 , as an implementation of the method shown in Figure 2 , the present application provides an embodiment of a data processing device, which corresponds to the method embodiment shown in Figure 2 . The device can be applied in various electronic devices.

[0169] As shown in Figure 3 , the data processing device 300 described in the embodiment includes a judgment module 301, a first acquisition module 302, a processing module 303, a statistical module 304, a first calling module 305, and a display module 306. Among them:

[0170] A judging module 301 is configured to judge whether a processing request triggered by a user and corresponding to a target letter of credit is received;

[0171] A first obtaining module 302 is configured to, if yes, obtain letter of credit information corresponding to the target letter of credit based on a pre-constructed data processing pool;

[0172] A processing module 303 is configured to perform data processing on the letter of credit information based on a pre-constructed workflow engine and according to a preset letter of credit business processing flow, to obtain letter of credit business data corresponding to the target letter of credit;

[0173] A statistical module 304 is configured to perform statistical processing on the letter of credit business data based on a preset statistical strategy, to obtain corresponding statistical data;

[0174] A first calling module 305 is configured to call a pre-constructed display interface;

[0175] A display module 306 is configured to perform display processing on the statistical data in the display interface.

[0176] In some optional implementations of the embodiment, the statistical module 304 includes:

[0177] A screening sub-module is configured to screen a main line of a business process from the letter of credit business processing flow;

[0178] A first determining sub-module is configured to determine a sub-process corresponding to the main line of the business process;

[0179] A first obtaining sub-module is configured to obtain a statistical index and a statistical manner corresponding to the sub-process;

[0180] A statistical sub-module is configured to perform statistical processing on the letter of credit business data based on the statistical index and the statistical manner, to obtain corresponding processing data;

[0181] A second determining sub-module is configured to take the processing data as the statistical data.

[0182] In some optional implementations of the embodiment, the first calling module 305 includes:

[0183] A second obtaining sub-module is configured to obtain a preset initial user interface;

[0184] An adjusting sub-module is configured to perform adjusting processing on the initial user interface based on a preset card layout strategy, to obtain a corresponding specified user interface;

[0185] An optimizing sub-module is configured to perform optimizing processing on the specified user interface based on a preset interaction optimization strategy, to obtain the display interface.

[0186] The loading submodule is configured to load the display interface based on a preset dynamic loading mode.

[0187] In some optional implementations of the embodiment, the display module 306 includes:

[0188] The calling submodule is configured to call a preset visualization tool.

[0189] The conversion submodule is configured to convert the statistical data into specified statistical data in a specified format based on the visualization tool.

[0190] The second obtaining submodule is configured to obtain a preset display strategy.

[0191] The display submodule is configured to display the specified statistical data in the display interface based on the display strategy.

[0192] In some optional implementations of the embodiment, the data processing apparatus further includes:

[0193] The second obtaining module is configured to obtain a preset specified information type after completing data processing on the L / C information.

[0194] The extraction module is configured to extract specified related information corresponding to the target L / C from the data processing pool based on the specified information type.

[0195] The third obtaining module is configured to obtain a preset account record construction strategy.

[0196] The generation module is configured to process the specified related information based on the account record construction strategy to generate an L / C account record of the target L / C.

[0197] In some optional implementations of the embodiment, the data processing apparatus further includes:

[0198] The second calling module is configured to call a preset initial database.

[0199] The configuration module is configured to configure the initial database with a preset table structure and index strategy to obtain a corresponding specified database.

[0200] The fourth obtaining module is configured to obtain a preset data storage strategy.

[0201] The storage module is configured to store the L / C business data into the specified database based on the data storage strategy.

[0202] In some optional implementations of the embodiment, the data processing apparatus further includes:

[0203] a fifth obtaining module, configured to obtain a preset data updating mode;

[0204] a triggering module, configured to trigger a data updating operation corresponding to the L / C business data based on the data updating mode, to obtain target L / C business data corresponding to the L / C business data;

[0205] an updating module, configured to update the L / C business data based on the target L / C business data.

[0206] To solve the above technical problems, the embodiments of the present application further provide a computer device. For details, please refer to Figure 4 , Figure 4 The basic structure block diagram of the computer device of the present embodiment is shown in FIG. 4.

[0207] The computer device 4 comprises a memory 41, a processor 42 and a network interface 43 which are connected to each other through a system bus. It should be noted that only the computer device 4 with components 41-43 is shown in the figure, but it should be understood that it is not required to implement all the shown components, and more or less components can be alternatively implemented. Among them, the computer device herein is a device capable of automatically performing numerical calculation and / or information processing according to pre-set or stored instructions, and its hardware includes but is not limited to microprocessor, application specific integrated circuit (ASIC), field programmable gate array (FPGA), digital signal processor (DSP), embedded device, etc., which can be understood by those skilled in the art.

[0208] The computer device can be a desktop computer, a notebook computer, a palm computer and a cloud server, etc. The computer device can interact with the user through a keyboard, a mouse, a remote controller, a touchpad or a voice control device, etc.

[0209] The memory 41 includes at least one type of readable storage medium, such as a flash memory, a hard disk, a multimedia card, a card-type memory (e.g., an SD or DX memory, etc.), a random access memory (RAM), a static random access memory (SRAM), a read-only memory (ROM), an electrically erasable programmable read-only memory (EEPROM), a programmable read-only memory (PROM), a magnetic memory, a magnetic disk, an optical disk, etc. In some embodiments, the memory 41 can be an internal storage unit of the computer device 4, such as a hard disk or a memory of the computer device 4. In other embodiments, the memory 41 can also be an external storage device of the computer device 4, such as a plug-in hard disk, a smart media card (SMC), a secure digital (SD) card, a flash card, etc. equipped on the computer device 4. Of course, the memory 41 can also include both an internal storage unit and an external storage device of the computer device 4. In this embodiment, the memory 41 is generally used to store an operating system and various application software installed on the computer device 4, such as computer readable instructions of a data processing method, etc. In addition, the memory 41 can also be used to temporarily store various data that have been output or will be output.

[0210] The processor 42 can be a central processing unit (CPU), a controller, a microcontroller, a microprocessor, or other data processing chip in some embodiments. The processor 42 is generally used to control the overall operation of the computer device 4. In this embodiment, the processor 42 is used to run computer readable instructions or process data stored in the memory 41, such as computer readable instructions of the data processing method.

[0211] The network interface 43 can include a wireless network interface or a wired network interface, and is generally used to establish a communication connection between the computer device 4 and other electronic devices.

[0212] The present application also provides another embodiment, i.e., to provide a computer readable storage medium storing computer readable instructions, which can be executed by at least one processor to make the at least one processor perform the steps of the data processing method as described above.

[0213] Those skilled in the art can clearly understand the above-mentioned embodiment method can be realized by means of software and the necessary general hardware platform, of course, it can also be realized by hardware, but in many cases, the former is a better embodiment. Based on such understanding, the technical solutions of the present application can be embodied in the form of a software product, which is stored in a storage medium (such as ROM / RAM, magnetic disk, optical disk) and includes a plurality of instructions for making a terminal device (which can be a mobile phone, computer, server, air conditioner, or network device, etc.) execute the method described in each embodiment of the present application.

[0214] Obviously, the above-described embodiments are only some of the embodiments of the present application, not all the embodiments, and the drawings show the preferred embodiments of the present application, but do not limit the patent scope of the present application. The present application can be implemented in many different forms, and conversely, the purpose of providing these embodiments is to make the disclosure of the present application more thorough and comprehensive. Although the present application has been described in detail with reference to the foregoing embodiments, those skilled in the art can still modify the technical solutions recorded in the foregoing specific embodiments, or make equivalent replacements to some of the technical features. Any equivalent structure made by using the content of the specification and drawings, directly or indirectly applied to other related technical fields, is also within the scope of the patent protection of the present application.

Claims

1. A data processing method, characterized in that: The steps include: Determining whether a user-triggered processing request corresponding to the target letter of credit has been received; If so, obtaining letter of credit information corresponding to the target letter of credit based on a pre-built data processing pool; Based on a pre-built workflow engine, data processing is performed on the letter of credit information according to a preset letter of credit business processing flow to obtain letter of credit business data corresponding to the target letter of credit; Performing statistical processing on the letter of credit business data based on a preset statistical strategy to obtain corresponding statistical data; Call the pre-built display interface; The statistical data is displayed in the display interface.

2. The data processing method according to claim 1, wherein: The step of performing statistical processing on the letter of credit business data based on a preset statistical strategy to obtain corresponding statistical data specifically includes: Filtering out the main business process line from the letter of credit business processing flow; Determine the sub-process corresponding to the main line of the business process; Obtaining statistical indicators and statistical methods corresponding to the sub-process; Performing statistical processing on the letter of credit business data based on the statistical indicators and the statistical method to obtain corresponding processed data; The processed data is referred to as the statistical data.

3. The data processing method according to claim 1, wherein: The step of calling the pre-built display interface specifically includes: Get the preset initial user interface; Adjusting the initial user interface based on a preset card layout strategy to obtain a corresponding designated user interface; Optimizing the specified user interface based on a preset interaction optimization strategy to obtain the display interface; The display interface is loaded based on a preset dynamic loading method.

4. The data processing method according to claim 1, wherein: The step of displaying the statistical data in the display interface specifically includes: Call the preset visualization tool; Converting the statistical data into specified statistical data in a specified format based on the visualization tool; Get the preset display strategy; Based on the display strategy, the designated statistical data is displayed in the display interface.

5. The data processing method according to claim 1, wherein: After the step of performing data processing on the letter of credit information based on the pre-built workflow engine according to the preset letter of credit business processing flow to obtain letter of credit business data corresponding to the target letter of credit, the method further includes: After completing data processing of the letter of credit information, obtaining a preset designated information type; extracting, from the data processing pool, specified relevant information corresponding to the target letter of credit based on the specified information type; Get the preset ledger record construction strategy; The designated relevant information is processed based on the ledger record construction strategy to generate a letter of credit ledger record of the target letter of credit.

6. The data processing method according to claim 1, wherein: After the step of performing data processing on the letter of credit information based on the pre-built workflow engine according to the preset letter of credit business processing flow to obtain letter of credit business data corresponding to the target letter of credit, the method further includes: Call the preset initial database; Configuring a preset table structure and index strategy for the initial database to obtain a corresponding designated database; Get the preset data storage strategy; Based on the data storage strategy, the letter of credit business data is stored in the designated database.

7. The data processing method according to claim 1, wherein: After the step of performing data processing on the letter of credit information based on the pre-built workflow engine according to the preset letter of credit business processing flow to obtain letter of credit business data corresponding to the target letter of credit, the method further includes: Get the preset data update method; triggering a data update operation corresponding to the letter of credit business data based on the data update method to obtain corresponding target letter of credit business data; The letter of credit business data is updated based on the target letter of credit business data.

8. A data processing device, characterized in that: include: A judgment module, used to judge whether a processing request corresponding to the target letter of credit triggered by the user is received; a first acquisition module, configured to, if yes, acquire letter of credit information corresponding to the target letter of credit based on a pre-built data processing pool; a processing module for performing data processing on the letter of credit information based on a pre-built workflow engine and a preset letter of credit business processing flow to obtain letter of credit business data corresponding to the target letter of credit; A statistical module, configured to perform statistical processing on the letter of credit business data based on a preset statistical strategy to obtain corresponding statistical data; The first calling module is used to call the pre-built display interface; A display module is used to display the statistical data in the display interface.

9. A computer device, characterized in that: The method comprises a memory and a processor, wherein the memory stores computer-readable instructions, and the processor implements the steps of the data processing method according to any one of claims 1 to 7 when executing the computer-readable instructions.

10. A computer-readable storage medium, characterized in that The computer-readable storage medium stores computer-readable instructions, which, when executed by a processor, implement the steps of the data processing method according to any one of claims 1 to 7.

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