Multi-agent-based platform scheduling intelligent sorting model structure

A multi-agent and intelligent sorting technology, applied in genetic models, instruments, data processing applications, etc., can solve problems such as equipment failures and affecting loading and unloading tasks

Active Publication Date: 2016-09-28
WUHAN BAOSTEEL CENT CHINA TRADE
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Problems solved by technology

[0011] 5) Equipment failure rate
[0012] In the long-term operation of the company, equipment failures will inevitably occur. When the cranes involved in the loading and unloading work fail, it will seriously affect the loading and unloading tasks of the corresponding warehouse, resulting in adjustments to the scheduling of the entire platform, waiting for the equipment failure to be repaired

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  • Multi-agent-based platform scheduling intelligent sorting model structure
  • Multi-agent-based platform scheduling intelligent sorting model structure
  • Multi-agent-based platform scheduling intelligent sorting model structure

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Embodiment Construction

[0147] The present invention will be further described in detail below in conjunction with the accompanying drawings and specific embodiments.

[0148] The invention provides a multi-agent system, Multi-Agent System, MAS theory, and constructs a platform-based dispatching and sorting system as a combined optimization complex system with multiple constraints, so as to realize multi-agent technology for research on real-time vehicle dispatching decision-making. New solutions to improve the efficiency of freight operations.

[0149] Multi-Agent System (MAS), as the frontier field of distributed artificial intelligence research and one of the important methods to support intelligent decision-making, is recognized as an important theoretical model for studying various complex systems because of its characteristics. The platform-based dispatching and sorting system is a combined optimization complex system with multiple constraints. The introduction of multi-agent technology provide...

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Abstract

The invention discloses a multi-agent-based platform scheduling intelligent sorting model structure. Steel material logistics distribution belongs to heavy-duty transportation in transportation and needs special handling equipment and large-scale transportation vehicles. In a distribution and loading process, the loading efficiency and sequence (platform scheduling) of vehicles are directly related to distribution aging. Platform scheduling is a multi-constraint combination optimization complex system. Reasonable ordering and optimization are essential. According to the invention, a multi-agent technology is used to research real-time vehicle scheduling decisions; a combination optimization complex system using a platform-based scheduling ordering system and multi-agent algorithm design as multiple constraints is constructed; a multi-agent technology provides a new solution for the research of real-time vehicle scheduling decisions to improve the efficiency of freight operations; the optimal solution is acquired; an auxiliary vehicle identification technology is used to carry out whole-process monitoring on distribution vehicles; efficient vehicle scheduling and precise handling are realized; and precise steel material distribution is realized.

Description

technical field [0001] The invention relates to the construction of a multi-agent platform dispatching system model, specifically a model constructed according to supply chain and Agent. Background technique [0002] Before the present invention was proposed, there were many factors involved in the delivery of goods in the supply chain, and the level indicators under various factors would also be inconsistent, for example: [0003] 1) Delivery time [0004] Due to the difference in the quantity and cycle of customer orders, when the DPS system receives the order, it will automatically compare the existing inventory and goods data, and at the same time mark the breakpoint time of the material, prompt the salesman to pay attention, and intelligently process raw materials according to the adjustment of the stocking coefficient Allocation and production planning arrangements. And determine the optimal delivery time in advance. [0005] 2) Number of vehicles [0006] The numb...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06N3/12G06Q10/04G06Q10/06G06Q50/30
CPCG06N3/126G06Q10/047G06Q10/06315G06Q50/40
Inventor 高山王永川姚琳车静张东刘利
Owner WUHAN BAOSTEEL CENT CHINA TRADE
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