Unlock instant, AI-driven research and patent intelligence for your innovation.

Logistics route planning method and system based on bionic intelligent optimization

A route planning and intelligent optimization technology, applied in logistics, instruments, data processing applications, etc., can solve problems such as increased route transportation pressure, time consumption, and few solutions, achieving high robustness, improving comprehensiveness and Scientific and reduce the effect of competitive pressure

Active Publication Date: 2021-04-23
广州智湾科技有限公司
View PDF11 Cites 1 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] However, the existing route planning schemes generally only involve route planning based on existing conditions, but there are few efficient solutions for real-time dynamic route planning problems
When there are multiple cross-traffic routes in multiple logistics centers, the transportation pressure of the routes will increase accordingly, resulting in a lot of time being consumed in route congestion. How to quickly replace the old routes with high congestion is the key to improving logistics services. Quality has been an effective way to reduce the cost of logistics services

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Logistics route planning method and system based on bionic intelligent optimization
  • Logistics route planning method and system based on bionic intelligent optimization

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0032] according to figure 1 As shown, this embodiment proposes a logistics route planning method based on bionic intelligent optimization, including the following steps:

[0033] Step 1: Number all the normal working logistics vehicles in the logistics system of the target logistics center, and collect the vehicle condition information of the logistics vehicles one by one according to the number, specifically including: collecting the comprehensive driving skill evaluation information of the vehicle driver, the purchase time of the vehicle Whether the vehicle has completed the maintenance plan regularly, the incidence of road accidents in the historical work process of the vehicle driver, and the mileage of the vehicle form a vehicle condition factor that has a one-to-one correspondence with the number, and then summarize the vehicle condition factors to form a vehicle condition factor set ;

[0034] Step 2: Search for all other logistics centers in a single area that have b...

Embodiment 2

[0041] according to figure 2 As shown, this embodiment proposes a logistics route planning system based on bionic intelligent optimization, including a vehicle condition acquisition module, an area path comprehensive data acquisition module, a data information processing module, a key variable data acquisition module, a model building module, an algorithm execution module and a logistics route decision-making module;

[0042] The vehicle condition collection module is used to collect and collect vehicle condition information of logistics vehicles, and then summarize the collected vehicle condition factors to form a vehicle condition factor set;

[0043] The regional path comprehensive data acquisition module is used to collect all other logistics center path data in a single area that has route conflicts with existing route data in the logistics system of the target logistics center, and to identify and count routes with repeated conflicts;

[0044] The data information proc...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention discloses a logistics route planning method and system based on bionic intelligent optimization, and the method comprises the steps: comparing the route planning data of other logistics centers with the existing route data in a logistics system of a target logistics center, and determining all routes with route conflicts; mapping routes with route conflicts in a distribution service map to form a mapping distribution service map, embedding the mapping distribution service map into the trained logistics route planning model, and finally hiding the routes with the route conflicts in the logistics route planning model to obtain a new logistics route planning model; according to the invention, iterative updating can be carried out on the existing logistics route in the logistics system of the target logistics center to obtain the new optimal route to replace the existing route, the optimal route can be obtained on the premise of reducing the competition pressure, and the final distribution service map can provide the optimal logistics distribution service for customers, so that the logistics distribution efficiency is improved. Therefore, the comprehensive service capability of the target logistics center can be improved.

Description

technical field [0001] The invention relates to the technical field of logistics route planning, in particular to a method and system for logistics route planning based on bionic intelligent optimization. Background technique [0002] In the context of rapid economic and social development, the demand for goods circulation in different places or locally is constantly increasing, and logistics transportation has gradually become an increasingly important part, and the corresponding planning requirements for logistics solutions are also increasing. In order to deal with this problem, many intelligent logistics systems have appeared on the market, using the powerful computing power of computers to quickly give the overall logistics planning scheme. [0003] However, the existing route planning schemes generally only involve route planning based on existing conditions, but there are few efficient solutions for real-time dynamic route planning problems. When there are multiple c...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
IPC IPC(8): G06Q10/08
CPCG06Q10/08355
Inventor 陈本雄黄翰刘华谢占功
Owner 广州智湾科技有限公司