Visual management method and system for institution deposit stock funds of enterprises

Abstract

The embodiment of the invention provides a visual management method and system for institution deposit stock funds of an enterprise, and belongs to the technical field of account management. The method comprises the following steps: in response to an account information query request, verifying the identity of a current query client; after the identity verification is passed, a corresponding data query scheme is matched based on the account type of the target account; executing the corresponding data query scheme, executing the target data query, and obtaining fund deposit information; and executing fund deposit information visualization processing, and pushing the visualization information to a query request end. According to the scheme, the efficiency and safety of enterprise fund management are improved, the transparency and operability of information are remarkably enhanced, the requirement of enterprises for dynamic fund monitoring is met, meanwhile, the error risk of manual operation is reduced, and the fund stock management process is optimized.

Description

Technical Field

[0001] The present invention relates to the technical field of account management, and in particular to a visual management method for the deposit amount of an enterprise in an institution and a visual management system for the deposit amount of an enterprise in an institution. Background Art

[0002] Enterprises depositing idle funds in financial institutions can not only bring certain benefits, but also improve the security of funds. However, the traditional deposit management method mainly relies on offline manual operations, which has many problems in practical applications:

[0003] 1) Low management efficiency: Manual processing of deposit data requires a lot of manpower, which is time-consuming and labor-intensive, increases the company's time cost, and makes it difficult to achieve real-time management of deposit information.

[0004] 2) Insufficient data accuracy: Manual data entry and record keeping are prone to errors and may even be manipulated by humans, resulting in incorrect recording of deposit information and increasing the company's financial management risks.

[0005] 3) Insufficient monitoring transparency: Traditional offline management lacks an effective supervision mechanism, and updates and changes in deposit information are difficult to track in a timely manner. It is difficult for companies to grasp the real-time dynamics of funds, which provides possibilities for improper internal operations.

[0006] 4) Risks are difficult to control: Due to delayed updates of deposit information or information opacity, the security of funds is difficult to guarantee. Once a problem occurs, the cost of tracing and remediation is high.

[0007] Based on the above problems, there is an urgent need in the existing technology for a solution that can integrate online and offline deposit information and provide real-time, visual monitoring capabilities to improve the efficiency and transparency of corporate fund management, fundamentally reduce the risks caused by manual operations, and ensure the security and profitability of corporate idle funds in deposit activities. Summary of the invention

[0008] The purpose of the embodiments of the present invention is to provide a method and system for visually managing the deposit funds of an enterprise in an institution, so as to at least solve the problems of insufficient management security and easy errors in existing solutions.

[0009] In order to achieve the above-mentioned objectives, the first aspect of the present invention provides a method for visually managing the deposit balance of an enterprise in an institution, the method comprising: in response to an account information query request, verifying the identity of the current querying customer; after the identity authentication is passed, matching the corresponding data query plan based on the account type of the target account; executing the corresponding data query plan, executing the target data query, and obtaining funds deposit information; performing visualization processing of the funds deposit information, and pushing the visualization information to the query request end.

[0010] Optionally, the verification of the identity of the current inquiring customer includes: determining the security level of the current query request based on the query type of the account information query request; matching the corresponding identity authentication scheme based on the determined security level; wherein the identity authentication includes: any one or more of password verification, biometric verification and dynamic password verification; guiding the user to enter verification information based on the identity authentication signal, and judging whether the current user identity is legal based on the verification information.

[0011] Optionally, after identity authentication is passed, a corresponding data query plan is matched based on the account type of the target account, including: parsing the account information query request to determine the account type of the current target account; matching corresponding executable data query plans in a data query plan library based on the account type to obtain multiple candidate data query plans; identifying valid candidate data query plans for each candidate data query plan based on the authority level of the current querying customer, and using any identified valid candidate data query plan as a matching data query plan.

[0012] Optionally, the account type is a bank-enterprise direct account or a non-bank-enterprise direct account.

[0013] Optionally, when the current account type is a bank-enterprise direct account, the corresponding data query plan is executed, the target data query is executed, and the funds deposit information is obtained, including: based on the target bank corresponding to the current account, the data interface of the corresponding target bank is called based on the corresponding data query plan; based on the data interface of the corresponding target bank, the current query customer identity authentication information and account information query request are interacted with the corresponding target bank to obtain the target data; and the target data is recovered as funds deposit information.

[0014] Optionally, when the current account type is a non-bank-enterprise direct account, the corresponding data query plan is executed, the target data query is executed, and the funds deposit information is obtained, including: based on the corresponding data query plan, calling the corresponding bank account model; based on the bank account model, the account information of the current account is associated to obtain a query model; wherein the account information of the current account includes: any one or more of account number, currency, account nature, account purpose, deposit type and account status; based on the query model, the corresponding target data association is executed to obtain funds deposit information.

[0015] Optionally, the fund deposit information includes: any one or more of account number, currency, account nature, account purpose, deposit type, account status, interest accrual date, maturity date, deposit term, deposit interest rate, business processing date and deposit amount.

[0016] Optionally, visualization processing of funds deposit information is performed, and the visualization information is pushed to the query request end, including: performing validity verification on the funds deposit information to obtain verified funds deposit information; classifying the funds deposit information based on information type to determine data visualization schemes that match each information type; performing visualization processing on each classified data set based on the matching data visualization scheme, and pushing the visualization information to the query request end.

[0017] The second aspect of the present invention provides a visual management system for the deposit balance of an enterprise in an institution, the system comprising: a verification unit, for verifying the identity of the current querying customer in response to an account information query request; a solution generation unit, for matching the corresponding data query solution based on the account type of the target account after the identity authentication is passed; a query unit, for executing the corresponding data query solution, executing the target data query, and obtaining funds deposit information; a visualization unit, for performing visualization processing of the funds deposit information, and pushing the visualization information to the query request end.

[0018] On the other hand, the present invention provides a computer-readable storage medium having instructions stored thereon, which, when executed on a computer, enables the computer to execute the above-mentioned method for visually managing the deposit funds of an enterprise in an institution.

[0019] Through the above technical scheme, the scheme of the present invention realizes efficient and secure fund deposit information management through a series of steps. First, when responding to the account information query request, the customer identity is verified to ensure the legality and security of the query operation. Secondly, the corresponding data query scheme is matched according to the account type of the target account to ensure the accuracy and efficiency of data acquisition. Subsequently, the target data query is executed to obtain the fund deposit information in real time to ensure the integrity and timeliness of the information. Finally, the obtained deposit information is visualized and the processing results are pushed to the query request end, realizing the intuitive display of the deposit information. This scheme not only improves the efficiency and security of enterprise fund management, but also significantly enhances the transparency and operability of information, meets the needs of enterprises for dynamic monitoring of funds, while reducing the risk of errors in manual operations and optimizing the fund stock management process.

[0020] Other features and advantages of the embodiments of the present invention will be described in detail in the following detailed description. BRIEF DESCRIPTION OF THE DRAWINGS

[0021] The accompanying drawings are used to provide a further understanding of the embodiments of the present invention and constitute a part of the specification. Together with the following specific embodiments, they are used to explain the embodiments of the present invention, but do not constitute a limitation on the embodiments of the present invention. In the accompanying drawings:

[0022] Figure 1It is a flowchart of the steps of a method for visually managing the deposit funds of an enterprise in an institution provided by one embodiment of the present invention;

[0023] Figure 2 It is a system structure diagram of a visual management system for enterprise deposit stock funds in institutions provided by one embodiment of the present invention. DETAILED DESCRIPTION

[0024] The specific implementation of the present invention is described in detail below in conjunction with the accompanying drawings. It should be understood that the specific implementation described here is only used to illustrate and explain the present invention, and is not used to limit the present invention.

[0025] Figure 1 This is a flowchart of a method for visually managing the deposit funds of an enterprise in an institution provided by an embodiment of the present invention. Figure 1 As shown, an embodiment of the present invention provides a method for visually managing the deposit funds of an enterprise in an institution, the method comprising:

[0026] Step S10: In response to the account information query request, the identity of the current querying customer is verified.

[0027] Specifically, the verification of the identity of the current inquiring customer includes: determining the security level of the current query request based on the query type of the account information query request; matching the corresponding identity authentication scheme based on the determined security level; wherein the identity authentication includes: any one or more of password verification, biometric verification and dynamic password verification; guiding the user to enter verification information based on the identity authentication signal, and judging whether the current user identity is legal based on the verification information.

[0028] In an embodiment of the present invention, the security level of the current request is automatically determined based on the query type of the account information query request (e.g., general query, sensitive information query, or high-authority operation query). Different query types may involve different degrees of sensitive information or authority requirements, so the division of security levels is an important link to ensure that the verification strength matches the business needs. A suitable identity authentication scheme is dynamically selected based on the determined security level. The verification schemes include but are not limited to the following types:

[0029] 1) Password verification: Requires users to enter the preset account password for identity verification.

[0030] 2) Biometric verification: Use biometric features such as fingerprint, facial recognition, and iris recognition for high-precision identity verification.

[0031] 3) Dynamic password verification: A one-time dynamic password is generated through a bound device (such as a mobile phone), and the user needs to enter the dynamic password to complete the verification.

[0032] Based on the matching verification scheme, the user is given verification instructions. For example, the user is required to enter an account password, complete a biometric operation, or enter a dynamic password. The verification information provided by the user is collected in real time, and the legitimacy and accuracy of the information are determined through an algorithm. The verification information entered by the user is compared with the pre-stored information to determine whether the current user identity is legitimate. After the verification is passed, the user is allowed to continue the query; if the verification fails, the user is prompted to re-verify or the account is locked to prevent malicious attempts.

[0033] Based on the solution of the present invention, by determining the security level based on the query type and matching different verification schemes, the method effectively prevents the risk of sensitive information leakage caused by insufficient verification strength. For example, highly sensitive operations may require multi-factor verification, which significantly improves security. The verification scheme is dynamically adapted according to the security level to avoid the inefficiency or over-complexity that may be caused by a unified verification mode. For example, password verification is used for ordinary queries, while a combination of biometrics and dynamic password verification is used for sensitive information queries. By clearly indicating the verification instructions, users can quickly complete identity authentication without repeated attempts. The dynamically adapted verification scheme not only ensures security, but also takes into account the convenience of operation. When identity authentication fails, the account is locked in time or prompted to re-verify, effectively preventing risky behaviors such as brute force cracking and identity impersonation. The solution supports multiple verification methods such as passwords, dynamic passwords, and biometrics, and can be expanded according to specific business needs. It is suitable for various scenarios such as corporate fund management, personal account inquiries, and cross-platform account verification.

[0034] Step S20: After identity authentication is passed, a corresponding data query solution is matched based on the account type of the target account.

[0035] Specifically, the account information query request is parsed to determine the account type of the current target account; based on the account type, a corresponding executable data query solution is matched in the data query solution library to obtain multiple candidate data query solutions; based on the authority level of the current querying customer, each candidate data query solution is identified as a valid candidate data query solution, and any identified valid candidate data query solution is used as a matching data query solution.

[0036] Specifically, the account type is a bank-enterprise direct link account or a non-bank-enterprise direct link account.

[0037] In an embodiment of the present invention, after receiving an account information query request, the request content is first parsed, including the identification information of the queried account and the specific parameters of the query operation. Through parsing, the account type of the target account can be determined. The account type may include a bank-enterprise direct connection account or a non-bank-enterprise direct connection account, etc. These types usually determine the storage structure of the account, the data management mode, and the complexity of the query operation. According to the identified account type, the corresponding executable data query solution is matched in the preset data query solution library. For example: for a bank-enterprise direct connection account, the account deposit information or transaction flow may be directly obtained in real time through the bank interface, and the data update is processed. For non-bank-enterprise direct connection accounts, it is necessary to query the associated information according to the deposit certificate management model and the account information table to complete the data integration and output. In the matching process, multiple candidate data query solutions are usually generated, covering different query paths and execution logics.

[0038] Furthermore, to ensure the security of query execution, candidate solutions will be screened in combination with the authority level of the current querying customer. For example, ordinary users may only be allowed to query account balances or some public data; high-authority users can perform more complex operations, such as querying transaction details, account status and other sensitive information. Through permission verification, valid solutions that meet the permission requirements are identified from the candidate data query solutions. The best solution (such as the one with the highest execution efficiency or the most accurate data) is selected from the identified valid candidate solutions and used as the final matching data query solution. The solution is then executed to generate the query results for the target account.

[0039] Based on the scheme of the present invention, the data query scheme is dynamically matched based on the target account type, avoiding the problems of inefficiency and inaccurate results that may be caused by the traditional unified query logic. Each account type can obtain the most accurate data through the most suitable query scheme. The candidate scheme is strictly verified by the permission level, which effectively prevents low-authority users from illegally accessing highly sensitive data, while ensuring that the query capabilities of high-authority users are not restricted. The scheme matching process is dynamically expanded through the scheme library, which is convenient for quickly adapting new query logic for different account types or new business scenarios without modifying the overall architecture. The optimal scheme is selected from multiple candidate schemes for execution, which significantly reduces unnecessary waste of computing resources, while ensuring that the query results can be returned quickly and improving the user experience. The differentiated processing methods for bank-enterprise direct accounts and non-bank-enterprise direct accounts make it possible to adapt to multiple business scenarios such as real-time bank interface queries and offline data model association queries at the same time, meeting the diverse needs of corporate fund management.

[0040] Step S30: Execute the corresponding data query solution, execute the target data query, and obtain the fund deposit information.

[0041] Specifically, when the current account type is a bank-enterprise direct account, the corresponding data query plan is executed, the target data query is executed, and the funds deposit information is obtained, including: based on the target bank corresponding to the current account, the data interface of the corresponding target bank is called based on the corresponding data query plan; based on the data interface of the corresponding target bank, the current query customer identity authentication information and account information query request are interacted with the corresponding target bank to obtain the target data; and the target data is recovered as the funds deposit information.

[0042] In an embodiment of the present invention, the target bank corresponding to the account is first identified based on the current account information. This step is the basis of the data query process, ensuring that each account matches a unique bank data source. After identifying the target bank, the corresponding data query solution is dynamically loaded, and the dedicated data interface of the target bank is called through the solution. For example, for some banks that support real-time queries, the interface can directly return the deposit balance and transaction flow of the account. A core feature of the bank-enterprise direct account is real-time interaction with the bank. By calling the data interface of the target bank, communication is established with the bank server to verify the identity authentication information of the current querying customer. This step can be completed through a variety of verification methods, such as digital certificate verification, dynamic password verification, or preset bank interface authorization verification. After the identity authentication is passed, the account information query request is sent to the bank. This process strictly follows security protocols (such as SSL / TLS) to ensure the security of data transmission and prevent man-in-the-middle attacks and data leakage.

[0043] Furthermore, after completing the identity verification and account request interaction, the target bank will return the query results (i.e., target data). This data may include the real-time deposit balance of the account, recent transaction details, account status, etc. After receiving this data, it is sorted and stored in a predetermined format and classified as fund deposit information. For complex query results, data analysis and integration can also be performed to ensure that the output fund deposit information is intuitive and easy to process later.

[0044] Furthermore, after being processed, the recovered target data will be directly presented to users as fund deposit information or used as financial analysis tools within the enterprise. The efficiency and accuracy of data recovery are the core goals of the company, and fast and accurate data acquisition is achieved through the exclusive interface operation of the bank-enterprise direct account.

[0045] Based on the scheme of the present invention, the bank-enterprise direct account can ensure the latest status of fund deposit information through real-time interaction with the bank data interface. This real-time performance is significantly better than the traditional offline account query mode, which greatly improves the accuracy of information. Through direct communication with the bank interface, it strictly relies on the bank identity authentication mechanism (such as digital certificates or dynamic passwords) to prevent unauthorized access and ensure the security of data transmission. At the same time, all query operations are performed in a controlled environment to reduce the risk of information leakage. The query operation of the bank-enterprise direct account is completed through automated interface calls, without manual intervention or complex instructions, which greatly reduces the complexity and time cost of the query process and improves the efficiency of enterprise fund management. The bank-enterprise direct connection mechanism is suitable for scenarios where enterprises have multiple accounts. Multiple target bank interfaces can be called in batches to realize rapid query and integration of deposit information of multiple accounts, which is suitable for complex financial scenarios of enterprises. Supports a mechanism for dynamically loading different data interfaces based on the target bank, so that it can adapt to the heterogeneous environment of multiple banks. At the same time, with the development of bank interface technology, the mechanism can be further expanded, for example, to support data acquisition in more dimensions (such as loan status, interest rates, etc.).

[0046] Specifically, when the current account type is a non-bank-enterprise direct connection account, the corresponding data query plan is executed, the target data query is executed, and the funds deposit information is obtained, including: based on the corresponding data query plan, the corresponding bank account model is called; based on the bank account model, the account information of the current account is associated to obtain a query model; wherein the account information of the current account includes: any one or more of account number, currency, account nature, account purpose, deposit type and account status; based on the query model, the corresponding target data association is executed to obtain funds deposit information.

[0047] In an embodiment of the present invention, according to the preset corresponding data query scheme, the bank account model is first called. The bank account model is the core storage structure of non-bank-enterprise direct account information, which contains the basic information and associated data of the account. For example, the account model may record the unique identifier of the account, the currency type (such as RMB or foreign currency), the nature of the account (such as a savings account or a fixed-term account), the purpose of the account (such as business funds or standby funds), the type of deposit (such as a demand deposit or a fixed-term deposit), and the account status (such as normal, frozen, closed), etc. On the basis of the bank account model, the account information of the current account is associated. Specifically, according to the account parameters (such as account number and currency) contained in the query request, matching records are screened out from the bank account model, and an exclusive query model is constructed based on these basic information. The query model can be regarded as a bridge between account information and fund deposit information, providing a structured framework for subsequent data queries.

[0048] Furthermore, based on the generated query model, the target data association operation is performed to extract the funds deposit information from the deposit certificate management model or other related databases. The target data association usually involves complex query logic, such as associating account information with deposit business records, including detailed information such as the interest start date, maturity date, deposit term, deposit interest rate, deposit amount, etc. Through this association operation, the funds deposit status of non-bank-enterprise direct accounts can be accurately restored. After completing the data association, the query results are integrated into structured funds deposit information and output in an easy-to-understand form. This information can be displayed to users through a visual interface, or further provided to corporate financial management tools for analysis and processing.

[0049] Based on the scheme of the present invention, non-bank-enterprise direct accounts cannot obtain data in real time through the bank interface, and the scheme successfully realizes accurate query of account information through bank account model and data association technology, providing an effective solution for enterprises to manage non-real-time accounts. The bank account model can flexibly adapt to different account attributes and query requirements. For example, when adding new account types or expanding deposit information dimensions, only the model or query scheme needs to be adjusted, without the need to reconstruct the architecture, which greatly improves the flexibility and scalability. Through the precise association of account information and the dynamic query of target data, the integrity and accuracy of fund deposit information are ensured, and the query deviation caused by account data dispersion or manual processing is avoided. Through the collaborative query of account model and deposit certificate model, the scheme can provide multi-dimensional deposit information, including account nature, deposit type, fund use, etc., providing comprehensive data support for enterprise fund management and decision-making. The automated query process avoids manual verification and manual entry, significantly improves query efficiency, and saves time and labor costs. Especially when enterprises need to manage a large number of non-bank-enterprise direct accounts at the same time, the scheme can quickly complete batch data query. The data query process is strictly based on the structured operations of the account model and query model, avoiding the security risks that may be caused by direct access to the underlying data. At the same time, through layered processing and permission control, it ensures that the data is visible only to authorized users.

[0050] Step S40: Execute visualization processing of fund deposit information and push the visualization information to the query request end.

[0051] Specifically, the fund deposit information includes: any one or more of account number, currency, account nature, account purpose, deposit type, account status, interest accrual date, maturity date, deposit term, deposit interest rate, business processing date and deposit amount.

[0052] Furthermore, visualization processing of the funds deposit information is performed, and the visualization information is pushed to the query request end, including: performing validity verification on the funds deposit information to obtain verified funds deposit information; classifying the funds deposit information based on information type to determine data visualization schemes that match each information type; performing visualization processing on each classified data set based on the matching data visualization scheme, and pushing the visualization information to the query request end.

[0053] In the embodiment of the present invention, the obtained fund deposit information is verified for validity. The verification includes data integrity (such as whether key fields are missing), consistency (such as whether the account status matches the deposit record), and authenticity (such as whether the data source is reliable). This process ensures that the fund deposit information is accurate and lays the foundation for subsequent visualization processing. For example, it will check whether the interest date and the maturity date are logically consistent, or whether the deposit amount is consistent with the business handling record.

[0054] Furthermore, the data is classified according to the attributes of the fund deposit information, for example, the information is divided into basic account information (such as account number, currency, account nature, etc.), deposit feature information (such as deposit type, deposit interest rate, deposit amount, etc.) and time dimension information (such as interest start date, maturity date, deposit term, etc.). This classification method can simplify the data processing logic and provide a basis for subsequent visualization solution matching.

[0055] Furthermore, predefined data visualization schemes are matched for different categories of information. For example, for basic account information, a table is used to display it to ensure that the information is clear and easy to read. For numerical data such as deposit amounts and interest rates, a bar chart or pie chart is used to display it, which intuitively reflects the distribution and proportion of the values. For time dimension information, a timeline or line chart is used to display it, which facilitates tracking the time change pattern of deposits. Dynamic loading of visualization templates is supported, and the display method can be adjusted according to the specific needs of the query request.

[0056] Furthermore, the classified data sets are visualized and rendered according to the matching visualization scheme. For example, a bar chart is generated after the deposit amounts are grouped by account purpose, or a timeline chart is generated for the expiration dates of different accounts. During the visualization process, the data is preprocessed by standardization and formatting to ensure the beauty and consistency of the output results. After the visualization is completed, the generated visualization information is pushed to the query request end for the user to view. This information can be displayed in real time through desktop applications, mobile terminals or web terminals, and users are supported to interact with the visualization results (such as filtering, zooming in, exporting, etc.).

[0057] Based on the scheme of the present invention, complex fund deposit information is converted into a graphical and structured display method through visualization processing, so that users can quickly understand the meaning of the data. For example, using bar charts and pie charts to display the distribution of deposit amounts can intuitively compare the proportion of funds in different accounts or uses. Visualization technology helps users capture key information in a short time, significantly reducing the time cost of manually analyzing raw data. At the same time, classification and layered display methods can help users quickly focus on specific information categories. The visualization information pushed to the query request end supports a variety of interactive functions (such as filtering, dynamic updating, etc.), which is convenient for users to adjust the display content or dig deeper into the data according to specific needs. Through validity verification, erroneous or invalid data is eliminated to ensure that users see verified high-quality information, reducing the risk of decision-making errors. The visualization method can be dynamically adjusted according to the query content and the device characteristics of the request end to meet the personalized needs of different user scenarios. For example, the mobile end can give priority to displaying simple charts, while the desktop end supports more complex chart combinations. The visualization information reaches the user end in real time through the push mechanism, and the user can obtain the required information without additional operations. This immediacy and convenience improves user friendliness.

[0058] Figure 2 This is a system structure diagram of a visual management system for enterprise deposit funds in institutions provided by one embodiment of the present invention. Figure 2 As shown, an embodiment of the present invention provides a visual management system for the deposit balance of an enterprise in an institution, and the system includes: a verification unit, which is used to verify the identity of the current querying customer in response to an account information query request; a solution generation unit, which is used to match the corresponding data query solution based on the account type of the target account after the identity authentication is passed; a query unit, which is used to execute the corresponding data query solution, execute the target data query, and obtain fund deposit information; a visualization unit, which is used to perform visualization processing of the fund deposit information and push the visualization information to the query request end.

[0059] The embodiment of the present invention also provides a computer-readable storage medium, on which instructions are stored, which, when executed on a computer, enable the computer to execute the above-mentioned method for visually managing the deposit funds of an enterprise in an institution.

[0060] Those skilled in the art will understand that all or part of the steps in the method for implementing the above-mentioned embodiments can be completed by instructing the relevant hardware through a program, and the program is stored in a storage medium, including several instructions for making a single-chip microcomputer, a chip or a processor (processor) perform all or part of the steps of the method described in each embodiment of the present invention. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), disk or optical disk and other media that can store program codes.

[0061] The optional embodiments of the present invention are described in detail above in conjunction with the accompanying drawings. However, the embodiments of the present invention are not limited to the specific details in the above embodiments. Within the technical concept of the embodiments of the present invention, the technical scheme of the embodiments of the present invention can be subjected to a variety of simple modifications, and these simple modifications all belong to the protection scope of the embodiments of the present invention. It should also be noted that the various specific technical features described in the above specific embodiments can be combined in any suitable manner without contradiction. In order to avoid unnecessary repetition, the embodiments of the present invention will not further describe various possible combinations.

[0062] In addition, various embodiments of the present invention may be arbitrarily combined, and as long as they do not violate the concept of the embodiments of the present invention, they should also be regarded as the contents disclosed in the embodiments of the present invention.

Claims

1. A visual management method for the deposit funds of an enterprise in an institution, characterized in that: The method comprises: In response to an account information query request, verify the identity of the current querying customer; After identity authentication is passed, the corresponding data query solution is matched based on the account type of the target account; Execute the corresponding data query plan, perform the target data query, and obtain the fund deposit information; Perform visualization processing of fund deposit information and push the visualization information to the query request end.

2. The method according to claim 1, characterized in that: The verification of the identity of the current querying customer includes: Determine the security level of the current query request based on the query type of the account information query request; Match the corresponding authentication scheme based on the determined security level; The identity verification includes: Any one or more of password verification, biometric verification and dynamic password verification; The user is guided to enter verification information based on the identity verification signal, and whether the current user identity is legal is determined based on the verification information.

3. The method according to claim 1, characterized in that After identity authentication is passed, the corresponding data query solution is matched based on the account type of the target account, including: Parse the account information query request to determine the account type of the current target account; Based on the account type, a corresponding executable data query solution is matched in a data query solution library to obtain multiple candidate data query solutions; Based on the authority level of the current querying customer, valid candidate data query solutions are identified for each candidate data query solution, and any identified valid candidate data query solution is used as a matching data query solution.

4. The method according to claim 3, characterized in that The account type is a bank-enterprise direct account or a non-bank-enterprise direct account.

5. The method according to claim 4, characterized in that When the current account type is a bank-enterprise direct account, the corresponding data query scheme is executed, the target data query is executed, and the fund deposit information is obtained, including: Based on the target bank corresponding to the current account, call the data interface of the corresponding target bank based on the corresponding data query solution; Based on the data interface of the corresponding target bank, the current customer identity authentication information and account information query request are interacted with the corresponding target bank to obtain the target data; The target data is recovered as fund deposit information.

6. The method according to claim 4, characterized in that When the current account type is a non-bank-enterprise direct account, the corresponding data query solution is executed, the target data query is executed, and the fund deposit information is obtained, including: Based on the corresponding data query solution, call the corresponding bank account model; Based on the bank account model, the account information of the current account is associated to obtain a query model; wherein, The account information of the current account includes: Any one or more of account number, currency, account nature, account purpose, deposit type and account status; Corresponding target data association is performed based on the query model to obtain fund deposit information.

7. The method according to claim 1, characterized in that The fund deposit information includes: Any one or more of the following: account number, currency, account nature, account purpose, deposit type, account status, interest accrual date, maturity date, deposit term, deposit interest rate, transaction date and deposit amount.

8. The method according to claim 1, characterized in that Perform visualization of fund deposit information and push the visualization information to the query request end, including: Perform validity verification on the fund deposit information to obtain the verified fund deposit information; Classify fund deposit information based on information type and determine data visualization solutions that match each information type; Visualization processing of each classified data set is performed based on the matching data visualization scheme, and the visualization information is pushed to the query request end.

9. A visual management system for the deposit funds of an enterprise in an institution, characterized in that: The system comprises: A verification unit, for verifying the identity of the current querying customer in response to the account information query request; A solution generation unit, used to match a corresponding data query solution based on the account type of the target account after identity authentication is passed; A query unit, used to execute a corresponding data query plan, perform a target data query, and obtain fund deposit information; The visualization unit is used to perform visualization processing of fund deposit information and push the visualization information to the query request end.

10. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores instructions, which, when executed on a computer, enable the computer to execute the method for visual management of the deposit funds of an enterprise in an institution as described in any one of claims 1-8.

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