3D Intelligent Scheduling for Logistics Simulation and AGV Control
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Solution Overview
Problem
Conventional logistics simulation systems fail to accurately match their algorithms and trigger conditions with those of actual control systems, leading to inefficiencies and increased resource investment due to their independence from real-time production conditions.
Innovation Solution
A 3D intelligent scheduling method is implemented using logistics simulation software, where a logistics simulation model is established and linked to an AGV logistics system via a network communications module, allowing for real-time data exchange and control signal conversion to synchronize simulation and actual control systems.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If logistics simulation software is used independently from real-time production conditions, then simulation calculations can be performed, but the algorithms and trigger conditions cannot match those of actual control systems
Solution Approach 1:
The patent merges the logistics simulation system and the actual control system into a unified integrated system. The simulation software is no longer independent but is combined with real-time production conditions, allowing both simulation calculations and real-time control to operate within the same system framework, ensuring algorithm and trigger condition consistency.
Solution Approach 2:
The patent implements feedback mechanisms where real-time production data from the actual control system is fed into the simulation software, and simulation results are fed back to optimize control decisions. This continuous feedback loop ensures that the simulation algorithms and trigger conditions remain synchronized with actual production conditions, resolving the matching accuracy issue.
2Reliability
If logistics simulation system is totally independent of real-time production condition, then simulation can be performed, but evaluation mechanisms and bottleneck problems cannot be prevented in advance
Solution Approach 1:
The patent enables preliminary action by using the integrated simulation system to predict and evaluate potential bottleneck problems before they occur in actual production. By combining simulation with real-time data, the system can perform advance evaluation mechanisms and identify issues beforehand, allowing preventive optimization rather than reactive problem-solving after bottlenecks have already formed.
3Measurement precision
If optimization is performed only after systems run for some time, then real-time data can be collected, but increasing investment of human and material resources is caused
Solution Approach 1:
The patent implements continuous useful action by enabling the simulation system to operate continuously alongside the actual production system. Rather than performing discrete optimization cycles after the system has run for some time, the integrated system continuously collects real-time data and performs ongoing optimization, eliminating wasted resources from periodic reconfiguration and reducing both human and material investment requirements.
Data Source
AI summary
A 3D intelligent scheduling method based on logistics simulation software includes: establishing a logistics simulation model; establishing a link to an AGV and an automated equipment by using a network communications module; sending, a logistics task to a scheduling control server by using the network communications module, where the logistics task of the AGV triggers the logistics simulation model, and the logistics simulation model starts to run and calculate; obtaining, a traveling route of the AGV through calculation, and triggering a simulated AGV corresponding to the AGV; sending, an analog control signal to the simulated AGV; extracting the analog control signal, converting the analog control signal to a control signal the AGV can recognize, and sending the control signal to the AGV by using the network communications module; and performing a corresponding action according to the received control signal, to complete the logistics task.