Warehouse Robot Path Control for Emergency Zoning
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Solution Overview
Problem
Current robot scheduling methods in logistics warehouses are inefficient, requiring manual scheduling and maintenance, leading to increased operational costs and reduced productivity, and fail to meet emergency response requirements, such as fire safety, due to random robot distribution and lack of flexible path control.
Innovation Solution
A robot scheduling method and path control system that determines the working state and position of robots, automatically schedules them into designated areas, and adjusts paths in real-time based on sub-area states, ensuring efficient operation and safe emergency responses by using a server with processors and memory to execute these methods.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If manual scheduling method is used to move robots to designated positions, then robots can be positioned for maintenance or emergency response, but the operation cost and time consumption increase significantly
Solution Approach 1:
The system enables robots to automatically navigate and position themselves in response to scheduling instructions. The server sends navigation commands to robots, which autonomously calculate paths and execute movement without manual intervention, making the robots self-serve the scheduling process.
Solution Approach 2:
The patent replaces manual mechanical scheduling operations with an automated information-based system. The server communicates scheduling instructions digitally to robots, which use their navigation systems to automatically position themselves, substituting human physical operations with automated control mechanisms.
2Reliability
If all robot operations are stopped for emergency response or maintenance, then safety is ensured, but the productivity and operational efficiency of the warehouse decrease
Solution Approach 1:
The warehouse workspace is divided into multiple sub-areas, and robot operations are controlled independently in each sub-area. When emergency response or maintenance is needed in one sub-area, only robots in that specific sub-area are stopped or redirected, while robots in other sub-areas continue operating normally.
Solution Approach 2:
Different control strategies are applied to different sub-areas based on their specific needs. Sub-areas requiring emergency response or maintenance have restricted robot access, while other sub-areas maintain normal robot operations, creating localized quality differences in robot deployment and control.
3Adaptability or versatility
If robots are randomly distributed in the warehouse, then they can operate independently, but the scheduling efficiency and resource utilization decrease
Solution Approach 1:
The robot distribution and task allocation are dynamically adjusted based on real-time warehouse conditions. The server continuously monitors robot positions, task completion status, and workspace requirements, then dynamically reassigns tasks and adjusts robot deployment strategies to optimize overall system productivity.
Data Source
AI summary
Robot scheduling, robot path control and robot fire control methods and devices, a server and a storage medium are provided. The robot scheduling method includes: receiving a scheduling instruction; determining a working state and a current position of a robot in a working area in response to the scheduling instruction; wherein the working state comprises an idle state and a non-idle state; and when the working state of the robot is idle and the current position is outside a preset target range, scheduling the robot from the current position into the target range.