A method for intelligent dynamic scheduling of AGV in workshop environment

Abstract

The invention discloses an AGV intelligent dynamic scheduling method in a workshop environment, comprising the following steps: an agent-based workshop AGV scheduling mode is built; an initial scheduling sequence of machined work pieces is acquired based on a genetic algorithm and input to a database; a device agent quires the database to get a transport task, gets a fault-free AGV list from a management agent, initiates a tendering process, and releases the transport task; an AGV agent participates in tendering based on a beat mechanism, and AGVs' inferior competitive bidding under the condition of multi-device concurrent tendering is avoided based on the beat mechanism; the device agent evaluates the AGV tendering result; the AGV agent receives the competitive bidding result, and makes a plan for next step; and if there is AGV fault disturbance, the management agent handles the disturbance. Real-time intelligent dynamic scheduling of multiple work pieces and multiple tasks in a workshop production environment is realized effectively.

Description

technical field [0001] The invention relates to the technical field of AGV task scheduling, in particular to an intelligent dynamic scheduling method for AGVs in a workshop environment. Background technique [0002] Automated Guided Vehicle (AGV) is an intelligent automatic handling equipment, which is widely used in all walks of life, especially in the manufacturing system, which bears the heavy responsibility of transporting workpieces, and its scheduling operation efficiency will directly affect Productivity of the entire manufacturing system. Therefore, establishing an efficient and robust workshop AGV scheduling system is an important prerequisite for realizing high-efficiency production in the workshop. At present, most of the researches on the workshop AGV scheduling problem have the following problems: (1) The traditional workshop AGV scheduling is centralized scheduling, and all decision-making processes are implemented by an upper-level central controller. When t...

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Problems solved by technology

However, most of the current research on workshop AGV scheduling problems has the following problems: (1) Traditional workshop AGV scheduling is centralized scheduling, and all decision-making processes are implemented by an upper-level central controller

In short, the existing workshop AGV scheduling model often uses a centralized control method, and greatly simplifies the manufacturing system, ignoring the influence of disturbance factors on AGV scheduling. Therefore, it is quite different from the actual workshop scheduling environment and cannot adapt to the actual workshop production. actual needs

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