Multitask batch processing method based on AutoForm software and computer readable storage medium
CN120849034APending Publication Date: 2025-10-28CHONGQING JINKANG NEW ENERGY VEHICLE CO LTD
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Patent Information
- Application Number
- CN202510800947.9
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-06-16
- Publication Date
- 2025-10-28
AI Technical Summary
Technical Problem
AutoForm software is time-consuming and has low computing resource utilization when processing multiple tasks, and the traditional method of analyzing tasks one by one is inefficient.
Method used
By obtaining the computing resource requirements and available device resources of the tasks to be processed, and combining a greedy algorithm, the tasks are sorted in descending order of processing time to generate a task queue, and the tasks are processed in parallel, making use of the computing resources of personal computers and servers.
Benefits of technology
It improves the efficiency of AutoForm software in handling multiple tasks, shortens the total processing time, increases the utilization of computing resources, and reduces time and opportunity costs.
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Smart Images
Figure CN120849034A_ABST
Abstract
The invention discloses a multi-task batch processing method based on AutoForm software and a computer readable storage medium, and the method comprises the steps: S1, obtaining a plurality of to-be-processed tasks, calculating the processing duration required for processing each to-be-processed task, determining the calculation resources required for each to-be-processed task according to the processing duration, and storing the calculation resources in a database; then classifying the plurality of to-be-processed tasks according to the required processing duration; s2, available computing resources of the processing equipment are obtained, and then the types and the number of tasks which can be processed by the processing equipment in parallel are determined according to the available computing resources of the processing equipment and the computing resources needed by the tasks to be processed under the condition that the available computing resource limitation is met; s3, sorting the to-be-processed tasks according to the processing duration of the to-be-processed tasks and the types and the number of the tasks which can be processed by the processing equipment in parallel by utilizing a greedy algorithm according to a descending order of the processing duration, and generating a task queue; and S4, uploading the task queue to processing equipment, and processing the tasks to be processed in batches.
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