Task scheduling system for intelligent financial digital employees
Through the task scheduling system of intelligent financial digital employees, the problem of lack of flexibility and intelligence in traditional task definition methods is solved, and the accuracy of tasks, the accuracy of tasks, the speed and accuracy of task scheduling are improved, and the financial business is used to improve the speed and accuracy of task scheduling. Provides efficient and accurate operation guarantee.
Patent Information
- Application Number
- CN202411557128.8
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-11-04
- Publication Date
- 2025-02-07
- Estimated Expiration
- Not applicable · inactive patent
AI Technical Summary
The traditional way of defining financial tasks lacks flexibility and intelligence, making it difficult to quickly and accurately adapt to complex and changeable financial business needs, resulting in unclear task descriptions and unclear goals, which affects task execution efficiency and quality, and is unable to effectively capture tasks. The relationship between the relationship leads to repeated labor and waste of resources.
Propose a task scheduling system for intelligent financial digital employees, including task acquisition module, task definition management module, task scheduling optimization module and task execution module. It connects each module through data transmission technology to realize task definition, optimization and execution, and ensure the accuracy of tasks. Sex, collaboration and constraints are clear.
Improve the accuracy and clarity of tasks, ensure the quality of task execution and resource utilization, promote task collaboration, set clear constraints, improve the speed and accuracy of task scheduling, and provide powerful for the efficient and accurate operation of financial services. Assure.
Smart Images
Figure CN119396554A_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to the technical field of financial digital employees, and in particular to a task scheduling system for intelligent financial digital employees. Background Art
[0002] In the traditional financial field, task definitions are often relatively simple and fixed, mainly relying on manual input of task descriptions and goals, lacking flexibility and intelligence. With the continuous development and innovation of financial business, the amount of financial data has exploded, and business processes have become increasingly complex. Traditional task definition methods are difficult to quickly and accurately adapt to these complex and changing business needs, which may lead to unclear task descriptions and unclear goals, thus affecting the efficiency and quality of task execution.
[0003] In addition, there are often complex relationships between different types of financial tasks. For example, in asset management, asset allocation tasks need to rely on the results of market research tasks and risk assessment tasks. However, existing task definition methods are usually unable to effectively capture these relationships, making the collaboration and connection between tasks not smooth enough, prone to duplication of work and waste of resources. At the same time, the financial industry has extremely high requirements for the accuracy and timeliness of tasks. Traditional task definitions lack the fine management of task priorities and time constraints, and are difficult to meet the needs of financial services in a rapidly changing market environment.
[0004] Therefore, we made improvements to this and proposed a task scheduling system for intelligent financial digital employees. Summary of the invention
[0005] (I) The technical problem to be solved by the present invention is to improve task accuracy, promote task collaboration and set clear constraints, so as to enhance the task scheduling speed and accuracy of financial digital employees and provide strong guarantees for the efficient and accurate operation of financial services.
[0006] (II) Technical solution
[0007] In order to achieve the above-mentioned invention objectives, the present invention provides a task scheduling system for intelligent financial digital employees, including a task acquisition module, which is connected to a task definition management module through data transmission technology, and is used to acquire the scheduling tasks of financial digital employees, define and manage the tasks, and preliminarily determine the priorities of the tasks. The task definition management module is connected to a task scheduling optimization module through data transmission technology, and is used to further optimize the scheduling tasks of financial digital employees that are preliminarily defined and prioritized, and to disassemble and reorganize the tasks. The task scheduling optimization module is connected to a task execution module through data transmission technology, and is used to synchronously execute reorganized similar tasks. The task execution module is connected to a result output module through data transmission technology, and is used to output the execution results.
[0008] Preferably, the task execution module is also connected to the monitoring management module and the audit management module through data transmission technology, so as to monitor and audit the execution status during the task scheduling process of the financial digital employees.
[0009] Preferably, the monitoring management module includes a status monitoring unit, a progress monitoring unit, a resource monitoring unit, a performance monitoring unit and an exception monitoring unit, which are respectively used to monitor the execution status, progress, resource occupancy, performance and abnormal situations during the task scheduling process of financial digital employees.
[0010] Preferably, the monitoring and management module includes an audit data collection unit, which is connected to the audit data analysis unit through data transmission technology, and is used to collect relevant data from the task execution process of the financial digital employee, including but not limited to the start time, end time, execution steps, input data and output data, and analyze the collected data to discover potential risks and operational errors in the task execution process. The audit data analysis unit is connected to the audit report generation unit through data transmission technology, and is used to organize the content of the audit report according to the results of the audit analysis unit. The audit report generation unit is connected to the audit risk assessment unit through data transmission technology, and is used to perform risk assessment on the audit data and determine the level of risk according to the results of compliance analysis and operation process analysis. The audit risk assessment unit is connected to the audit early warning trigger unit through data transmission technology, and is used to trigger the corresponding early warning mechanism according to the risk level determined by the risk assessment sub-unit, including but not limited to interrupting task execution, data recovery, internal notification, external notification and automatic alarm.
[0011] Preferably, the task definition management module includes a task identification unit, which is connected to the condition constraint unit through data transmission technology, and is used to identify the tasks of financial digital employees and constrain the task conditions to ensure the compliance and accuracy of the tasks. The condition constraint units are connected to the resource demand assessment unit and the resource capacity assessment unit through data transmission technology, and are used to analyze the resource occupancy of the task, estimate the resource cost, reasonably optimize the use of resources, determine the system carrying capacity, manage the resource margin, and set the upper limit of resource allocation. The resource demand assessment unit and the resource capacity assessment unit are connected to the resource allocation calculation unit through data transmission technology, and are used to accurately allocate according to demand, balance resource load, improve resource utilization, and ensure task startup and operation. The resource allocation calculation unit is connected to the priority adjustment unit through data transmission technology, and is used to intelligently make preliminary adjustments to the priority of the task based on the calculation results.
[0012] Preferably, the task scheduling optimization module includes a load sensing unit and a task analysis unit, and the load sensing unit and the task analysis unit are both connected to the intelligent optimization unit through data transmission technology, and are used to adjust the task scheduling of financial digital employees according to the system's load sensing priority for analysis, and further intelligently optimize according to the requirements and functions of the tasks. The intelligent optimization unit is connected to the task decomposition unit through data transmission technology, and is used to decompose the optimized tasks according to requirements and functions. The task decomposition units are connected to the function similarity grouping unit and the demand similarity grouping unit through data transmission technology, and are used to reorganize the decomposed tasks according to requirements and functions, and merge similar tasks. The function similarity grouping unit and the demand similarity grouping unit are both connected to the decision generation unit through data transmission technology, and are used to generate task processing decisions according to the reorganized tasks.
[0013] The task scheduling system for intelligent financial digital employees provided by the present invention has the following beneficial effects:
[0014] 1. Through intelligent task description generation and dynamic task type identification, the task definition management module greatly improves the accuracy and clarity of tasks. The setting of task constraints provides clear time nodes and quality standards for task execution, and ensures that the quality of tasks meets the requirements. It also evaluates resource requirements and resource capacity for resource allocation calculations and adjusts the task scheduling priorities of financial digital employees, which is conducive to improving task accuracy, promoting task collaboration and setting clear constraints.
[0015] 2. By utilizing load perception and task analysis, the task scheduling plan of financial digital employees can be intelligently optimized to ensure system load balancing, improve system stability and reliability, and reasonably arrange the execution order of tasks according to the importance, urgency and system resource status of the tasks. At the same time, through task decomposition and reorganization, the hybrid scheduling strategy can combine the advantages of multiple traditional scheduling strategies, select the most appropriate scheduling method according to different task types and system status, improve the efficiency and flexibility of task execution, and help improve the speed and accuracy of task scheduling for financial digital employees, providing a strong guarantee for the efficient and accurate operation of financial business. BRIEF DESCRIPTION OF THE DRAWINGS
[0016] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.
[0017] Figure 1The overall system diagram of the task scheduling system for the smart financial digital employee provided for this application;
[0018] Figure 2 A system diagram of a task definition management module of a task scheduling system for smart financial digital employees provided in this application;
[0019] Figure 3 A system diagram of a task scheduling optimization module of a task scheduling system for smart financial digital employees provided in this application;
[0020] Figure 4 A schematic diagram of the monitoring and management module system of the task scheduling system for smart financial digital employees provided for this application;
[0021] Figure 5 System diagram of the audit management module of the task scheduling system for intelligent financial digital employees provided for this application.
[0022] In the figure: 1. Task acquisition module; 2. Task definition management module; 3. Task scheduling optimization module; 4. Task execution module; 5. Monitoring management module; 6. Audit management module; 7. Result output module; 8. Task identification unit; 9. Condition constraint unit; 10. Resource demand assessment unit; 11. Resource capacity assessment unit; 12. Resource allocation calculation unit; 13. Priority adjustment unit; 14. Load sensing unit; 15. Task analysis unit; 16. Intelligent optimization unit; 17. Task decomposition unit; 18. Functional similarity grouping unit; 19. Demand similarity grouping unit; 20. Decision generation unit; 21. Status monitoring unit; 22. Progress monitoring unit; 23. Resource monitoring unit; 24. Performance monitoring unit; 25. Abnormal monitoring unit; 26. Audit data collection unit; 27. Audit data analysis unit; 28. Audit report generation unit; 29. Audit risk assessment unit; 30. Audit warning trigger unit. DETAILED DESCRIPTION
[0023] The specific implementation of the present invention is further described in detail below in conjunction with the accompanying drawings and examples of the specification. The following examples are only used to illustrate the present invention, but cannot be used to limit the scope of the present invention.
[0024] like Figure 1-Figure 5As shown, this embodiment proposes a task scheduling system for intelligent financial digital employees, including a task acquisition module 1, which is connected to a task definition management module 2 through data transmission technology, and is used to acquire the scheduling tasks of financial digital employees, define and manage the tasks, and preliminarily determine the priorities of the tasks. The task definition management module 2 is connected to a task scheduling optimization module 3 through data transmission technology, and is used to further optimize the scheduling tasks of financial digital employees that have been preliminarily defined and prioritized, and to disassemble and reorganize the tasks. The task scheduling optimization module 3 is connected to a task execution module 4 through data transmission technology, and is used to synchronously execute similar tasks after reorganization. The task execution module 4 is connected to a result output module 7 through data transmission technology, and is used to output the execution results.
[0025] In this embodiment, the task execution module 4 is also connected to the monitoring management module 5 and the audit management module 6 through data transmission technology, so as to monitor and audit the execution status during the task scheduling process of the financial digital employees.
[0026] In this embodiment, the monitoring management module 5 includes a status monitoring unit 21, a progress monitoring unit 22, a resource monitoring unit 23, a performance monitoring unit 24 and an exception monitoring unit 25, which are respectively used to monitor the execution status, progress, resource usage, performance and abnormal situations during the task scheduling process of financial digital employees.
[0027] In this embodiment, the monitoring and management module 5 includes an audit data collection unit 26, which is connected to the audit data analysis unit 27 through data transmission technology, and is used to collect relevant data from the task execution process of the financial digital employee, including but not limited to the start time, end time, execution steps, input data and output data, and analyze the collected data to discover potential risks and operational errors in the task execution process. The audit data analysis unit 27 is connected to the audit report generation unit 28 through data transmission technology, and is used to organize the content of the audit report according to the results of the audit analysis unit. The audit report generation unit 28 is connected to the audit risk assessment unit 29 through data transmission technology, and is used to perform risk assessment on the audit data and determine the level of risk according to the results of compliance analysis and operation process analysis. The audit risk assessment unit 29 is connected to the audit early warning trigger unit 30 through data transmission technology, and is used to trigger the corresponding early warning mechanism according to the risk level determined by the risk assessment sub-unit, including but not limited to interrupting task execution, data recovery, internal notification, external notification and automatic alarm.
[0028] In this embodiment, the task definition management module 2 includes a task identification unit 8, which is connected to the condition constraint unit 9 through data transmission technology, and is used to identify the tasks of financial digital employees and constrain the task conditions to ensure the compliance and accuracy of the tasks. The condition constraint units 9 are connected to the resource demand assessment unit 10 and the resource capacity assessment unit 11 through data transmission technology, and are used to analyze the resource occupancy of the task, estimate the resource cost, reasonably optimize the use of resources, and determine the system carrying capacity, manage the resource margin, and set the upper limit of resource allocation. The resource demand assessment unit 10 and the resource capacity assessment unit 11 are connected to the resource allocation calculation unit 12 through data transmission technology, and are used to accurately allocate according to demand, balance resource load, improve resource utilization, and ensure task startup and operation. The resource allocation calculation unit 12 is connected to the priority adjustment unit 13 through data transmission technology, and is used to intelligently make preliminary adjustments to the priority of the task based on the calculation results.
[0029] Specifically, through intelligent task description generation and dynamic task type identification, the task definition management module greatly improves the accuracy and clarity of tasks. The setting of task constraints provides clear time nodes and quality standards for task execution and ensures that the quality of tasks meets the requirements. It also evaluates resource requirements and resource capacity for resource allocation calculation and adjusts the task scheduling priorities of financial digital employees, which is conducive to improving task accuracy, promoting task collaboration and setting clear constraints.
[0030] In this embodiment, the task scheduling optimization module 3 includes a load sensing unit 14 and a task analysis unit 15. The load sensing unit 14 and the task analysis unit 15 are connected to the intelligent optimization unit 16 through data transmission technology, and are used to adjust the task scheduling of financial digital employees according to the system's load sensing priority for analysis, and further intelligent optimization according to the requirements and functions of the tasks. The intelligent optimization unit 16 is connected to the task decomposition unit 17 through data transmission technology, and is used to decompose the optimized tasks according to requirements and functions. The task decomposition unit 17 is connected to the function similar grouping unit 18 and the demand similar grouping unit 19 through data transmission technology, and is used to reorganize the decomposed tasks according to requirements and functions, and merge similar tasks. The function similar grouping unit 18 and the demand similar grouping unit 19 are connected to the decision generation unit 20 through data transmission technology, and are used to generate task processing decisions based on the reorganized tasks.
[0031] Specifically, by utilizing load perception and task analysis, the task scheduling plan of financial digital employees can be intelligently optimized to ensure system load balancing, improve system stability and reliability, and reasonably arrange the execution order of tasks according to the importance, urgency and system resource status of the tasks. At the same time, through task decomposition and reorganization, the use of hybrid scheduling strategies can combine the advantages of various traditional scheduling strategies, select the most appropriate scheduling method according to different task types and system status, improve the efficiency and flexibility of task execution, and help improve the speed and accuracy of task scheduling for financial digital employees, providing a strong guarantee for the efficient and accurate operation of financial business.
[0032] The above embodiments are only used to illustrate the present invention, but not to limit the present invention. Although the present invention is described in detail with reference to the embodiments, it should be understood by those skilled in the art that various combinations, modifications or equivalent substitutions of the technical solutions of the present invention do not depart from the spirit and scope of the technical solutions of the present invention, and should be included in the scope of the claims of the present invention.
Claims
1. A task scheduling system for intelligent financial digital employees, comprising a task acquisition module (1), characterized in that: The task acquisition module (1) is connected to the task definition management module (2) through data transmission technology, and is used to acquire the scheduling tasks of financial digital employees, define and manage the tasks, and preliminarily determine the priorities of the tasks. The task definition management module (2) is connected to the task scheduling optimization module (3) through data transmission technology, and is used to further optimize the scheduling tasks of financial digital employees that are preliminarily defined and prioritized, and to disassemble and reorganize the tasks. The task scheduling optimization module (3) is connected to the task execution module (4) through data transmission technology, and is used to synchronously execute the reorganized similar tasks. The task execution module (4) is connected to the result output module (7) through data transmission technology, and is used to output the execution results.
2. The task scheduling system for intelligent financial digital employees according to claim 1 is characterized by: The task execution module (4) is also connected to the monitoring management module (5) and the audit management module (6) through data transmission technology, and is used to monitor and audit the execution status during the task scheduling process of financial digital employees.
3. The task scheduling system for intelligent financial digital employees according to claim 2 is characterized by: The monitoring management module (5) comprises a state monitoring unit (21), a progress monitoring unit (22), a resource monitoring unit (23), a performance monitoring unit (24) and an abnormality monitoring unit (25), which are respectively used to monitor the execution state, progress, resource usage, performance and abnormal conditions during the task scheduling process of financial digital employees.
4. The task scheduling system for intelligent financial digital employees according to claim 2 is characterized by: The monitoring management module (5) includes an audit data collection unit (26), which is connected to an audit data analysis unit (27) through data transmission technology, and is used to collect relevant data from the task execution process of the financial digital employee, including but not limited to the start time, end time, execution steps, input data and output data, and analyze the collected data to find potential risks and operational errors in the task execution process. The audit data analysis unit (27) is connected to an audit report generation unit (28) through data transmission technology, and is used to organize the content of the audit report according to the results of the audit analysis unit. The audit report generation unit (28) is connected to an audit risk assessment unit (29) through data transmission technology, and is used to conduct risk assessment on the audit data, and determine the level of risk according to the results of compliance analysis and operation process analysis. The audit risk assessment unit (29) is connected to an audit early warning trigger unit (30) through data transmission technology, and is used to trigger a corresponding early warning mechanism according to the risk level determined by the risk assessment subunit, including but not limited to interrupting task execution, data recovery, internal notification, external notification and automatic alarm.
5. The task scheduling system for intelligent financial digital employees according to claim 1 is characterized by: The task definition management module (2) comprises a task identification unit (8), which is connected to a condition constraint unit (9) through data transmission technology, and is used to identify the tasks of financial digital employees and constrain the task conditions to ensure the compliance and accuracy of the tasks. The condition constraint unit (9) is connected to a resource demand assessment unit (10) and a resource capacity assessment unit (11) through data transmission technology, and is used to analyze the resource occupancy of the tasks, estimate the resource cost, reasonably optimize the use of resources, determine the system carrying capacity, manage the resource margin, and set the upper limit of resource allocation. The resource demand assessment unit (10) and the resource capacity assessment unit (11) are connected to a resource allocation calculation unit (12) through data transmission technology, and are used to accurately allocate according to demand, balance resource load, improve resource utilization, and ensure the start and operation of tasks. The resource allocation calculation unit (12) is connected to a priority adjustment unit (13) through data transmission technology, and is used to intelligently make preliminary adjustments to the priority of tasks according to calculation results.
6. The task scheduling system for intelligent financial digital employees according to claim 5 is characterized by: The task scheduling optimization module (3) includes a load sensing unit (14) and a task analysis unit (15). The load sensing unit (14) and the task analysis unit (15) are connected to an intelligent optimization unit (16) through data transmission technology, and are used to adjust the task scheduling of financial digital employees according to the system's load sensing priority for analysis, and further intelligently optimize according to the requirements and functions of the tasks. The intelligent optimization unit (16) is connected to a task decomposition unit (17) through data transmission technology, and is used to decompose the optimized tasks according to the requirements and functions. The task decomposition unit (17) is connected to a function similar grouping unit (18) and a demand similar grouping unit (19) through data transmission technology, and is used to reorganize the decomposed tasks according to the requirements and functions, and merge similar tasks. The function similar grouping unit (18) and the demand similar grouping unit (19) are connected to a decision generation unit (20) through data transmission technology, and are used to generate a decision on task processing according to the reorganized tasks.