Task scheduling method, system and device and storage medium

Abstract

The invention discloses a task scheduling method, which comprises the following steps of: carding each service of insurance policy data, subdividing the service into task nodes which can be independently executed, and configuring the task nodes into a database; configuring a sequence relationship of the task nodes, and configuring execution conditions of the tasks through a preset condition table;receiving task information of a task node needing to be scheduled, and setting a task state as a to-be-executed state; regularly scanning task information of which the task state is a to-be-executedstate, and determining a target task node needing to be executed according to execution time in the task information; starting a target task node needing to be executed, and judging whether to executethe next associated task node or not according to the task node sequence relation and a preset condition table; if so, notifying a subsequent task node of the target task node to execute a corresponding task; and feeding back task execution information to the database. The method not only improves the processing timeliness of the insurance policy data, but also saves the operation cost, is suitable for the field of science and technology finance, and also relates to the blockchain technology.

Description

technical field [0001] The present invention relates to the technical field of data processing, in particular to a task scheduling method, system, device and storage medium. Background technique [0002] The I17 International Accounting Standards are very complex, involving more than a dozen systems and dozens of business modules, and the task dependencies are very complicated; the monthly statement data needs to be processed for a full amount of insurance policies, which requires high timeliness and generally needs to be completed before the 4th. The existing manual operating system has high operating costs and low efficiency. The system must monitor the system operation in real time. If the service of the system is down or the system is abnormal, manual rescheduling is required. [0003] Furthermore, the existing task scheduling system is biased towards operations, and the system will display this series of dozens of tasks, so that the salesman cannot quickly obtain the de...

AI Technical Summary

Problems solved by technology

The existing artificial operating system has high operating costs and low efficiency. The system must monitor the system operation in real time. If the system service is down or the system is abnormal, manual rescheduling is required.

[0003] Furthermore, the existing task scheduling system is biased towards operations, and the system will display this series of dozens of tasks, so that the salesman cannot quickly obtain the desired information, but in essence, as a salesman, he You may only want to see the three major modules of user information review, insurance application, and underwriting. Therefore, the system needs to be further optimized

Images