AGV Departure Timing Using Real-Time Travel and Waiting Estimates
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Solution Overview
Problem
Conventional departure management systems for automated guided vehicles (AGVs) do not reflect real-time data, leading to inefficiencies and increased moving times as they estimate work commands based on past data rather than current conditions.
Innovation Solution
A method and system for departure management of AGVs that utilize real-time data to estimate the first moving time from a current point to a destination point, determine a departure time based on this estimation and a limit waiting time, and adjust for potential facility outages by determining a failure response command based on estimated repair times.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of time
If conventional departure management system estimates work command based on past data, then system complexity is reduced, but moving time loss increases
Solution Approach 1:
The departure management system implements real-time feedback mechanisms by continuously monitoring current locations, simulation times, and operational status of AGVs. The system uses this real-time data to dynamically adjust departure time predictions and task assignments, replacing static historical data estimation with adaptive real-time feedback loops that minimize moving time loss while maintaining manageable system complexity through modular architecture.
Solution Approach 2:
The system enables AGVs to self-determine their departure times by autonomously processing real-time data about their current location, destination, and simulated arrival times. Each AGV independently calculates its own optimal departure window based on real-time system state, reducing the need for complex centralized scheduling while minimizing moving time loss through decentralized intelligent decision-making.
2Productivity
If real-time data is used for departure management, then productivity is improved, but device complexity increases
Solution Approach 1:
The departure management system is segmented into modular functional components: real-time data collection modules, simulation time calculation modules, departure time determination modules, and communication modules. Each module handles specific aspects of real-time processing independently, allowing the system to leverage real-time data for improved productivity while managing complexity through modular design that enables independent development, testing, and maintenance of each segment.
Solution Approach 2:
The system implements universal data structures and communication protocols that can handle multiple types of real-time data (location, status, simulation time, destination information) through a unified framework. This multi-functional approach allows the same core architecture to process various data types and support different AGV operations, improving productivity across diverse scenarios without proportionally increasing system complexity.
3Loss of time
If departure time is determined based on first moving time and limit waiting time, then loss of moving time is minimized, but measurement precision requirements increase
Solution Approach 1:
The system performs preliminary simulation time calculations before the AGV actually departs, estimating the time required to complete the task based on simulated execution. This preliminary action allows the system to determine an optimal departure time window in advance, minimizing moving time loss by ensuring the AGV departs at the most efficient moment while accounting for simulated task duration and limit waiting time requirements.
Solution Approach 2:
The system dynamically adjusts time estimation parameters based on real-time conditions, modifying the calculation of first moving time and limit waiting time according to current system state, AGV location, destination characteristics, and task requirements. This parameter adaptation allows accurate time estimation without requiring excessively precise fixed measurements, as the parameters themselves change to reflect current operational context.
Data Source
AI summary
A method of departure management of an automated guided vehicle and a departure management system of an automated guided vehicle for performing the same estimates a first moving time which is a moving time of a reference automated guided vehicle from a current point to a destination point, and a limit waiting time, and adjust a departure time of the automated guided vehicle from the current point. In addition, when a destination point facility is out of order, the method of departure management of the automated guided vehicle and the departure management system of the automated guided vehicle for performing the same may determine a failure response command for the reference automated guided vehicle based on an estimated repair time of the destination point facility, and provide a failure response command to the reference automated guided vehicle.