Narrow-Aisle AGV Scheduling for Safe Concurrent Operation
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing AGV scheduling technologies in narrow alleys suffer from low distribution efficiency, low equipment utilization, and limited flexibility and intelligence, due to restrictive scheduling modes that only allow one AGV to operate in each narrow alley at a time.
Innovation Solution
An AGV scheduling method that utilizes an electronic map to determine whether a to-be-driven-in AGV can enter a narrow alley based on the current number of AGVs, job information, and loading/unloading positions, allowing for concurrent and intelligent scheduling to maximize efficiency in confined spaces.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If only one AGV is allowed to operate in each narrow alley at a time, then safety and collision avoidance are improved, but distribution efficiency and equipment utilization deteriorate
Solution Approach 1:
The patent implements dynamic scheduling by allowing multiple AGVs to operate concurrently in narrow alleys based on real-time conditions. The scheduling system dynamically adjusts the number of allowed AGVs according to current alley status, AGV positions, and task requirements, transitioning from a static single-AGV limitation to a flexible multi-AGV regime that maintains safety while improving efficiency
Solution Approach 2:
The patent changes the parameter of AGV quantity allowed in narrow alleys from a fixed value (1) to a variable value (multiple) based on scheduling decisions. By modifying this key parameter dynamically, the system resolves the contradiction between maintaining safety and improving distribution efficiency
2Reliability
If only one AGV is allowed to operate in each narrow alley at a time, then collision risk is reduced, but equipment utilization efficiency deteriorates
Solution Approach 1:
The scheduling system continuously monitors the status of narrow alleys, AGV positions, and task progress, using this feedback information to make real-time decisions about allowing multiple AGVs into alleys. This feedback mechanism enables the system to maintain collision avoidance while maximizing equipment utilization by adjusting AGV entry permissions based on current conditions
3Device complexity
If extensive management mode is adopted with one AGV per narrow alley, then scheduling simplicity is maintained, but distribution efficiency and flexibility deteriorate
Solution Approach 1:
The patent transforms the scheduling system from a static extensive management mode to a dynamic intelligent scheduling mode. The system dynamically determines the number of AGVs allowed in each narrow alley based on real-time conditions, task requirements, and alley status, thereby improving distribution efficiency while maintaining manageable complexity through automated decision-making
Data Source
AI summary
An Automated Guided Vehicle (AGV) scheduling method based on a narrow alley, electronic equipment and a storage medium are provided, and the method includes: through an AGV scheduling system, receiving a message that a to-be-driven-in AGV arrives at a driving-in platform, obtaining job information of each AGV in the narrow alley at the current moment, and determining whether the to-be-driven-in AGV can enter the narrow alley for performing the job fully according to the number of the AGVs in the narrow alley at the current moment, the job information and a loading/unloading position where the to-be-driven-in AGV will perform the job, so as to achieve concurrent collaborative job of the AGVs as many as possible in a confined workspace by making use of fragmented time and every bit of time, to form an efficient and flexible distribution solution, and to further achieve intelligent scheduling of the AGVs.