Industrial IoT AGV Routing for Congestion-Free Material Feeding
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Solution Overview
Problem
In ultra-large-scale production lines, automated guided vehicles (AGVs) face challenges in material transportation planning, leading to congestion and inefficiencies due to the complexity of navigating multiple paths and synchronizing feeding times across various material end points.
Innovation Solution
A system of industrial IoT for AGV control is implemented, comprising a service platform, management platform, and sensor network platform, which models AGV circuit layouts, assigns operation speeds, and adjusts tracks in real-time to avoid congestion by recalculating operation tracks when overlaps occur, ensuring qualified operation processes and efficient material transportation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If AGVs operate at high speed in ultra-large-scale production lines, then productivity is improved, but congestion occurs due to difficulty in coordinating multiple AGVs on complex paths
Solution Approach 1:
The system dynamically adjusts AGV operation speeds in real-time based on current track conditions and congestion status. The management platform continuously monitors AGV positions and recalculates operation tracks when congestion is detected, allowing AGVs to adapt their speeds and paths dynamically rather than following fixed schedules, thus preventing congestion while maintaining high productivity
Solution Approach 2:
The system implements a feedback mechanism where the management platform receives real-time position information from AGVs via the sensor network platform, analyzes potential congestion conditions, and sends back adjusted operation tracks and speed commands to AGVs. This closed-loop control ensures that AGVs respond to changing conditions and maintain reliable operation in ultra-large-scale production lines
2Adaptability or versatility
If multiple AGVs share complex circuit layouts, then adaptability is improved, but congestion and coordination difficulty increase
Solution Approach 1:
The system segments the complex production line into multiple independent AGV units, each capable of autonomous navigation and operation. By dividing the overall transportation task among multiple independent AGVs rather than using a single complex system, the patent achieves high adaptability while managing complexity through modular design and distributed control
Solution Approach 2:
The management platform changes operational parameters (speed, path, timing) of AGVs dynamically based on real-time conditions. By adjusting these parameters rather than redesigning the entire system, the patent maintains high adaptability to changing production requirements while keeping the control system manageable through parameter optimization rather than structural complexity
3Ease of operation
If AGV operation tracks are fixed and pre-planned, then ease of operation is improved, but congestion occurs when multiple AGVs reach same nodes simultaneously
Solution Approach 1:
The system performs preliminary congestion analysis by calculating predicted arrival times of multiple AGVs at various nodes based on their current operation tracks. When potential congestion is detected in advance, the management platform proactively adjusts operation tracks and speeds before congestion occurs, maintaining ease of operation through automated prevention rather than reactive problem-solving that would reduce productivity
Solution Approach 2:
The management platform acts as an intermediary between the pre-planned operation tracks and the actual AGV movements. It receives simple pre-planned tracks, analyzes them for potential congestion, and generates adjusted tracks that prevent conflicts. This intermediary layer maintains ease of operation by keeping the basic navigation logic simple while handling complexity in congestion avoidance automatically
Data Source
AI summary
The present disclosure provides a system of an industrial Internet of Things (IoT) for an automated guided vehicle (AGV) control, a method, and a medium. The method includes: obtaining an AGV circuit layout and forming an AGV operation model; obtaining a feeding time, each AGV being fed for at least once within a preset period; the material end point being a node for receiving material in the AGV operation model; calculating an operation track of each AGV of the AGV operation model within the preset period based on the operation speed and the feeding time; adjusting the operation speed to recalculate the operation tracks until the operation process is qualified; and sending the operation track of the qualified operation process to a user platform through the service platform to display to a user.