AGV PLC Interlock Control for Collision-Free Factory Transfer
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Solution Overview
Problem
In smart factory-based vehicle production, Automated Guided Vehicles (AGVs) often interfere with or collide with surrounding facilities due to a lack of technology that meets varying operation conditions, leading to frequent stop events and difficulties in recognizing and addressing these issues in real-time.
Innovation Solution
A system and method that collect Programmable Logic Controller (PLC) state information and set PLC memory values to control AGV operations and automation facilities based on movement positions, using an operation server to manage PLC control conditions and prevent collisions by generating and monitoring traveling paths and interlock control conditions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If AGV operates along a guide line in a smart factory, then component transfer efficiency is improved, but interference or collision with process facilities occurs frequently
Solution Approach 1:
The system continuously collects PLC state information from process facilities along the AGV's travel path and uses this feedback to dynamically adjust PLC memory values. This real-time monitoring and adjustment mechanism allows the AGV to adapt to changing facility states, preventing collisions while maintaining transfer efficiency
Solution Approach 2:
The system changes PLC memory parameters based on the AGV's movement position and the operational state of surrounding facilities. By dynamically adjusting these control parameters, the system coordinates AGV movement with facility operations, resolving the contradiction between maintaining efficient transfer and avoiding interference
2Productivity
If AGV moves quickly to deliver components, then production yield is improved, but stop events occur frequently due to collisions
Solution Approach 1:
The system performs preliminary checks of PLC state information before the AGV reaches critical sections. By anticipating potential conflicts and adjusting PLC memory values in advance, the system prevents stop events before they occur, maintaining both speed and productivity
3Ease of operation
If operator monitors AGV stop events manually, then issue recognition is delayed, but system complexity increases
Solution Approach 1:
The system automatically monitors its own operational state by collecting PLC information and detecting stop events without requiring manual operator intervention. This self-monitoring capability provides immediate issue recognition while actually simplifying operations rather than increasing complexity
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This solution improves AGV operation efficiency by ensuring PLC control conditions meet operational requirements, preventing collisions, and enabling smooth component delivery by monitoring and adjusting PLC control conditions in real-time, thus reducing production disruptions.
Implementation Method 1
the AGV moves along a set transfer path by use of a sensor which detects magnetic force of a magnetic guide line
Data Source
AI summary
A system and a method of operating an automated guided vehicle includes: an Automated Guided Vehicle (AGV) which is loaded with a component and transfers the component along a set travelling path in a vehicle production factory; a Programmable Logic Controller (PLC) which is provided in a process line and each of a plurality of nodes existing on the travelling path and controls a peripheral automation facility; and an operation server which is configured to control an operation of the AGV and each automation facility through the PLC, and sets a PLC control condition for controlling each automation facility for each section by collecting PLC memory data from the PLC and inquiring the PLC memory data based on a movement position of the AGV when the travelling path is set.