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Intelligent man-machine cooperation scheduling method and system for bulk commodity transaction market supervision resource allocation

A resource allocation and human-machine collaboration technology, applied in resources, office automation, instruments, etc., can solve problems such as delayed completion of completion time tasks, economic losses in the bulk commodity trading market, etc., to avoid idle waste and reduce task execution uncertainty , the effect of low delay risk

Pending Publication Date: 2021-08-20
SOUTHEAST UNIV
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AI Technical Summary

Problems solved by technology

However, the uncertain completion time of the task and the limited resources will lead to the delay of the completion of the task, which may cause huge economic losses to the commodity trading market

Method used

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  • Intelligent man-machine cooperation scheduling method and system for bulk commodity transaction market supervision resource allocation
  • Intelligent man-machine cooperation scheduling method and system for bulk commodity transaction market supervision resource allocation
  • Intelligent man-machine cooperation scheduling method and system for bulk commodity transaction market supervision resource allocation

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Embodiment Construction

[0049] An intelligent human-machine collaborative scheduling method and system for the allocation of regulatory resources in the bulk commodity trading market. Based on the limited and heterogeneous characteristics of regulatory resources in the deployment system, the invention performs resource scheduling and allocation for regulatory tasks in the system to improve Task completion efficiency and resource utilization. Such as Figure 2-4 shown. Include the following steps:

[0050] (1) Assume that there are a total of n supervision tasks in the system, and the task is decomposed after the task arrives. Each supervision task can be represented by a quintuple: T i ={V i ,E i ,A i ,W i ,D i}, V i ,E i Represent the subtask points and edge sets in the directed acyclic graph respectively, and the directed acyclic graph composed of n supervisory tasks is denoted by G, and the task T i in A i Time to arrive, W i Represents the set of estimated working time of each subta...

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Abstract

The invention discloses an intelligent man-machine cooperation scheduling method and system for bulk commodity transaction market supervision resource allocation. Intelligent real-time scheduling and distribution are carried out on human and machine resources according to task requirements so as to improve the task completion rate; when the task arrives, the task processing module performs solving of a part of key path set and allocation calculation of deadline according to a topological graph relation formed by different links of the task to obtain a task to-be-executed queue and a task pool; afterwards, intelligent real-time distribution of human and machine resources is carried out through a resource scheduling module, and an execution sequence and specific starting time of tasks are output; a scheduling distribution strategy is automatically adjusted according to execution information fed back by tasks in real time, so that as many tasks as possible are completed before deadline. The scheduling method gives consideration to the influence of task execution uncertainty, and has the advantages of being high in scheduling plan robustness and low in task delay risk compared with a previous mode of 'first coming and first serving' and single and fixed distribution.

Description

technical field [0001] The invention relates to an intelligent human-machine cooperative dispatching technology, which belongs to an intelligent human-computer cooperative dispatching method and system aimed at the allocation of supervisory resources in bulk commodity trading markets. Background technique [0002] With the rapid development of Internet technology, the e-commerce market in the field of bulk commodities is developing rapidly, and trading platforms are increasing day by day. The bulk commodity trading market involves national strategic materials such as energy, minerals, cotton, grain and oil, and has the characteristics of large transaction volume, large price fluctuations, high transaction risks, and large impact radiation. A series of risk events and industry chaos in the bulk commodity e-commerce market in recent years reflect the general status and serious problems of difficult market supervision and poor platform services at this stage. [0003] At this ...

Claims

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Application Information

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IPC IPC(8): G06Q10/06G06Q10/10
CPCG06Q10/06312G06Q10/06315G06Q10/103
Inventor 蒋嶷川董子辰狄凯
Owner SOUTHEAST UNIV
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