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AGV access path optimization method based on intelligent parking lot

A path optimization and parking lot technology, applied to road network navigators, navigation, instruments, etc., can solve the problems of long access time, small application range, inconvenient and other problems, achieve monitoring and management facilitation, and improve parking efficiency , the effect of saving time

Pending Publication Date: 2019-09-27
NANJING AGRICULTURAL UNIVERSITY
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AI Technical Summary

Problems solved by technology

[0004] The present invention provides an AGV access path optimization method based on an intelligent parking lot, which solves the above-mentioned technical problems of long access time, long time-consuming search for the shortest path, inconvenience, and small application range

Method used

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  • AGV access path optimization method based on intelligent parking lot
  • AGV access path optimization method based on intelligent parking lot
  • AGV access path optimization method based on intelligent parking lot

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Embodiment Construction

[0035] The present invention will be further described below. The following embodiments are only used to illustrate the technical solutions of the present invention more clearly, and cannot be used to limit the protection scope of the present invention.

[0036] Such as figure 1 As shown, a method based on the algorithm optimization of AGV access path for intelligent parking lot includes:

[0037] 1. Construct a parking lot structure model

[0038] According to the application scenario, make the following assumptions:

[0039] 1) The exit and entrance of the parking lot are at different locations;

[0040] 2) After the transport vehicle robot completes the storage command, it will wait in the parking space and wait for the next command;

[0041] 3) The width of the driving lane meets the AGV's maximum turning radius, and the width of the road must ensure that a single AGV can drive normally;

[0042] 4) Consider the actual size of the AGV and regard the AGV and the car as a whole;

[0043...

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Abstract

The invention discloses an AGV access path optimization method based on an intelligent parking lot. An upper computer system quickly compares parking information of parking spaces and vehicles in the parking lot, and feeds back a detection signal to a main control computer; a parking space searching process is converted into a shortest path problem, and a heuristic A* algorithm is used for solving the problem. The main control computer can quickly obtain the optimal parking space through the A* algorithm and perform path planning, so that the time is shortened and the parking efficiency is improved. By means of grid map modeling, the visualization is better; the parking space utilization situation of the current parking lot and the position condition of an AGV can be checked in real time; and the monitoring and management of the parking lot are more convenient and intelligent.

Description

Technical field [0001] The invention belongs to the technical field of AGV transportation robot path planning, and specifically relates to an AGV access vehicle path optimization method based on an intelligent parking lot. Background technique [0002] With the rapid development of today's society and economy, the number of cars in the country is also rising. The contradiction between the rapid growth of car ownership and the scarcity of parking spaces needs to be resolved urgently. In order to solve this phenomenon, the establishment of a high-performance intelligent parking lot has become an inevitable trend. The smart parking lot based on the parking AGV can just solve this parking problem. The transportation vehicle robot AGV and the smart parking system are used to automate the vehicle access. The most important part is the route optimization method of the parking AGV. The purpose of studying the intelligent parking AGV path planning method is: the system obtains the occup...

Claims

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Application Information

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IPC IPC(8): G01C21/34
CPCG01C21/3446
Inventor 高强朱磊罗义陈宁梁欢欢孔祥希胡立渝韩吉
Owner NANJING AGRICULTURAL UNIVERSITY
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