Container Warehousing Control With Automated Hoist Assignment
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Conventional container transportation operations at ports require significant human intervention, leading to low efficiency, high labor costs, and safety concerns due to the complex environment.
Innovation Solution
A warehousing control system that enables intelligent control of container warehousing and distribution through communication between a warehousing server, hoisting apparatus, and transportation vehicles, allowing for automated operations without human intervention, using a communication module and processor to plan and assign tasks, and utilizing identity recognition and environment monitoring for safety and efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If automated control system is implemented, then operation efficiency is improved, but device complexity increases
Solution Approach 1:
The automated control system is divided into distinct functional modules: task reception module, path planning module, control instruction generation module, and communication module. Each module handles specific aspects of the container handling process, allowing the complex system to be managed through modular components that can be developed, tested, and maintained independently while achieving high operational efficiency.
2Quantity of substance
If human intervention is reduced, then labor costs are reduced, but reliability decreases
Solution Approach 1:
The system incorporates feedback mechanisms where the control server receives real-time status information from hoisting apparatus and transportation vehicles, monitors task execution progress, and can issue corrective control instructions. This closed-loop control ensures reliable automated operation while minimizing human intervention, maintaining high reliability through continuous monitoring and adaptive control.
3Loss of time
If automated path planning is implemented, then loss of time is reduced, but device complexity increases
Solution Approach 1:
The system performs preliminary path planning before actual container handling operations begin. The path planning module pre-calculates optimal routes for transportation vehicles and sequences hoisting operations based on task requirements, container locations, and resource availability. This advance planning minimizes execution time and coordination delays while keeping the real-time control system relatively simple.
Data Source
AI summary
The present disclosure provides a warehousing control system and a computer device. The warehousing control system includes: a communication module configured to transmit and receive information; and a warehousing server configured to: plan, upon receiving a container warehousing task via the communication module, a target warehousing area and a target warehousing space corresponding to each container in the container warehousing task, and assign a warehouse hoisting apparatus to hoist a target container carried by a transportation vehicle to a corresponding target warehousing space; and/or assign, upon receiving a container distribution task via the communication module, a warehouse hoisting apparatus to load a target container in the container distribution task onto an assigned transportation vehicle. In this way, intelligent unmanned warehousing can be achieved, such that the operation efficiency of warehousing can be improved and the cost of warehousing management can be reduced.