Automatic sorting control and decision making system based on M-HSTPN model

An automatic sorting and decision-making system technology, applied in general control systems, control/regulation systems, simulators, etc., can solve problems such as optimization and control, inability to model, inability to handle path planning decision-making problems, physical modeling problems, etc.

Active Publication Date: 2018-11-23
NORTHEASTERN UNIV
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Problems solved by technology

Traditional automatic sorting system modeling platforms, such as Arena, Flexsim, Witness and other object-oriented graphical modeling and simulation software, focus on the construction of the sorting system environment, and cannot effectively model each link in the automatic sor

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  • Automatic sorting control and decision making system based on M-HSTPN model
  • Automatic sorting control and decision making system based on M-HSTPN model
  • Automatic sorting control and decision making system based on M-HSTPN model

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Embodiment Construction

[0031] The invention provides an automatic sorting control and decision-making system based on the M-HSTPN model, which can effectively describe discrete events, continuous processes, delay characteristics, random phenomena and decision-making processes in the automatic sorting system, and handle complex Path planning decision problems and more accurate physical modeling problems.

[0032] The M-HSTPN model is an improved mixed stochastic time-delayed Petri net model (Modified Hybrid StochasticTimed Petri Net, M-HSTPN). The M-HSTPN model is a three-layer architecture including "decision-making layer-event layer-physical layer", such as image 3 As shown, the decision-making layer is used to process decision-making algorithms such as calculation, judgment, optimization, and planning. The decision-making results affect the evolution path of the event layer model; the event layer describes the causal relationship of each event, and the activation of the place will trigger the phys...

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Abstract

The invention discloses an automatic sorting control and decision making system based on an M-HSTPN model, and the system employs a three-layer architecture of decision-making layer-event layer-physical layer, and the system comprises a path planning decision making subsystem based on Python, an automatic sorting processing event subsystem based on HSTPNSim, and a physical simulation environment subsystem based on V-REP. The system can achieve the modeling simulation of the five types of mixed attributes in an automatic sorting process: discrete event, continuous process, time delay characteristics, random phenomenon and decision making. The system proposes a design method and design criteria for the M-HSTPN model, and achieves the modeling construction. Through the design of the HSTPNSimsoftware and an interface for Python and V-REP software, the system can process a more complex decision making problem and a more precise physical modeling problem through the powerful scientific computing and environment modeling capabilities.

Description

technical field [0001] The invention relates to the technical field of modeling of control and decision-making systems, in particular to an automatic sorting control and decision-making system based on an M-HSTPN model. Background technique [0002] Automatic sorting system pick-up, obstacle generation, path planning decision-making, AGV movement and unloading port judgment, and waiting for pick-up, etc., include five types of hybrid characteristics: discrete events, continuous processes, delay characteristics, random phenomena, and decision-making problems. Therefore, The automatic sorting system cannot be treated only as a discrete event dynamic system, but it needs to be regarded as a kind of hybrid system, and the corresponding hybrid system modeling method is used to model each link in the system. The traditional high-level Petri net and hybrid Petri net models can only describe part of the hybrid characteristics in the automatic sorting system. Traditional automatic s...

Claims

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Application Information

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IPC IPC(8): G05B17/02
CPCG05B17/02
Inventor 郝丽娜曹瑞珉白国力
Owner NORTHEASTERN UNIV
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