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Multi-constraint-condition-oriented complex mobile crowdsourcing task decomposition method

A task decomposition and multi-constraint technology, applied in the field of mobile data processing, can solve the problem that the task decomposition process is not universal, does not retain sub-task dependencies, and does not realize automatic decomposition, etc., to improve the speed and overall performance, Improve scalability and simplify real-time management

Pending Publication Date: 2019-11-26
NORTHWESTERN POLYTECHNICAL UNIV
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AI Technical Summary

Problems solved by technology

[0003] The existing task decomposition methods have the following problems: 1. The purely theoretical decomposition does not realize automatic decomposition; 2. The direct dependencies of subtasks are not preserved in the decomposition process; It depends on many aspects, and cannot be flexibly and continuously decomposed

Method used

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  • Multi-constraint-condition-oriented complex mobile crowdsourcing task decomposition method
  • Multi-constraint-condition-oriented complex mobile crowdsourcing task decomposition method
  • Multi-constraint-condition-oriented complex mobile crowdsourcing task decomposition method

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Embodiment

[0048] All publishers register on the platform. After being authenticated as publishers, they fill in the task-related information. After completing the task release, they need to fill in basic information such as the location, time, and skills of the task.

[0049] The publisher publishes a complex mobile crowdsourcing task on the platform, which requires the cooperation of multiple people with specific skills to complete. Before the task is executed, the task should be reasonably decomposed first.

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Abstract

The invention provides a multi-constraint-condition-oriented complex mobile crowdsourcing task decomposition method, which comprises the following steps: after a mobile crowdsourcing platform issues atask demand, performing task theoretical analysis on a task, and analyzing the reseparability of the task from top to bottom; decomposing the task into a hierarchical structure tree based on a complex crowdsourcing task execution process and structure; and using the leaf nodes in the hierarchical structure tree and the corresponding relationship of the leaf nodes in the hierarchical structure tree for expressing task decomposition based on a DAG mapper. According to the method, various influence factors of complex task decomposition are more comprehensively considered; the method comprises the steps of firstly performing theoretical analysis in task decomposition, and then rationalizing task decomposition and visualizing a decomposition result, so as to realize rationality, feasibility, scientificity and interpretability of task decomposition, and realize most rationalized task decomposition and quantification of a dependency relationship between sub-tasks.

Description

technical field [0001] The invention belongs to the field of mobile data processing, and in particular relates to a multi-constraint-oriented complex mobile crowdsourcing task decomposition method. Background technique [0002] The rapid development of mobile crowdsourcing-related technologies makes it possible to use the power of groups to complete larger mobile crowdsourcing tasks. Mobile crowdsourcing tasks are spatial crowdsourcing tasks, which use crowds and smart devices carried by people to complete crowdsourcing tasks with spatio-temporal characteristics. Different from traditional crowdsourcing, mobile crowdsourcing is done based on location and mobile devices. In recent years, mobile crowdsourcing has attracted more and more attention from all walks of life, and related technologies have also developed rapidly. With the development of mobile crowdsourcing, the existing research on simple mobile crowdsourcing tasks can no longer meet the needs of real production a...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/06G06Q10/10
CPCG06Q10/06311G06Q10/0633G06Q10/101
Inventor 於志文杨聪颖曹铭喆王亮郭斌
Owner NORTHWESTERN POLYTECHNICAL UNIV
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