An optimization method for detour and collision avoidance of storage system based on self-climbing robot

Abstract

The invention relates to the technical field of storage design, and the invention discloses a detour and collision avoidance optimization method based on a self-climbing robot storage system, which is characterized in that it includes the following steps: analyzing the self-climbing robot out of the warehouse, Solve the average service time model of each stage in the outbound operation process. According to the operation process of the self-climbing robot, analyze the operation stages in which the self-climbing robot produces detours and avoid collisions. The operation stage is regarded as a service desk, and a closed-loop queuing network model based on resource bypass is established, and the closed-loop queuing network model based on resource bypass is solved by using the jump iterative average algorithm. The detour and collision avoidance optimization method of the self-climbing robot-based storage system accurately simulates the actual outbound task process of the self-crawling robot-based storage system and the self-climbing robot avoiding collisions.

Description

technical field [0001] The invention relates to the technical field of storage design, in particular to a detour and collision avoidance optimization method for a storage system based on a self-climbing robot. Background technique [0002] In the traditional automated three-dimensional warehouse, the shuttle car completes the storage and withdrawal of goods in a fixed lane, and with the assistance of the hoist, the shuttle car crosses floors and transports the goods to the work station. Typically, the throughput of the system is limited by the number of elevators. Therefore, the modeling of the traditional automated three-dimensional warehouse is only analyzed for the shuttle car and the hoist. [0003] With the advent of the era of small batches, multi-batches, and mass customization in the product order structure, the requirements for the parallelism and flexibility of the outbound operations of the automated warehousing system have increased. Storage systems based on se...

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Problems solved by technology

[0006] Aiming at the deficiencies of the prior art, the present invention provides a detour and collision avoidance optimization method based on the self-climbing robot storage system, which solves the problem that the modeling of the traditional automated three-dimensional warehouse only analyzes the shuttle car and the elevator, and does not Problems suitable for multi-device parallel complex mode of storage system based on self-climbing robot

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