Autonomous Moving Body Assembly for Stable Multi-Unit Transport
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Solution Overview
Problem
Existing transport systems face instability issues when transporting multiple energy storage devices due to changes in the center of gravity, affecting the posture of unmanned aircraft and ground vehicles, making it difficult to efficiently transport a larger number of devices with a smaller number of moving bodies while maintaining stability.
Innovation Solution
The system identifies and calculates the relative positions and center of gravity information of multiple autonomously movable first moving bodies to form a stable assembly, which is then transported by a smaller number of second moving bodies, optimizing the arrangement to improve stability and reduce the number of moving bodies required.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If multiple first moving bodies are transported by a single second moving body, then the number of second moving bodies required is reduced, but the stability of the second moving body deteriorates due to center of gravity changes
Solution Approach 1:
The system segments the transport task by dividing multiple first moving bodies into different groups or assemblies, with each assembly transported by a dedicated second moving body. This segmentation allows for better weight distribution and center of gravity management, maintaining stability while improving overall transport efficiency.
Solution Approach 2:
The system dynamically adjusts transport parameters including the number of first moving bodies per assembly, their spatial arrangement, and positioning within assemblies. By changing these parameters, the system optimizes center of gravity positioning and weight distribution, resolving the contradiction between transporting more objects and maintaining stability.
2Productivity
If the number of second moving bodies is reduced to transport more first moving bodies, then resource utilization improves, but the complexity of managing and coordinating the remaining second moving bodies increases
Solution Approach 1:
The system merges multiple first moving bodies into unified assemblies with standardized interfaces and coordination protocols. This merging approach simplifies the management burden on second moving bodies while maintaining high resource utilization, as coordinated assemblies can be transported more efficiently than individual units.
Solution Approach 2:
The system implements universal assembly standards and communication protocols that enable second moving bodies to handle various configurations of first moving bodies. This multi-functionality allows reduced numbers of second moving bodies to adapt to different transport scenarios, managing complexity through standardization.
3Adaptability or versatility
If first moving bodies are arranged in different configurations within assemblies, then adaptability to different transport scenarios improves, but determining optimal arrangements becomes more difficult
Solution Approach 1:
The system pre-calculates and stores optimal assembly configurations for various transport scenarios before actual transport operations. By performing this optimization action in advance, the system maintains high adaptability to different scenarios while avoiding the computational complexity of real-time optimization during transport.
Solution Approach 2:
The system implements feedback mechanisms that monitor transport performance and assembly stability, using this information to refine configuration recommendations. This feedback loop gradually optimizes the arrangement database, making it easier to determine optimal configurations while maintaining versatility.
Data Source
AI summary
A transport system includes: a plurality of autonomously movable first moving bodies; and one or more second moving bodies configured to transport the plurality of first moving bodies as a first assembly in which relative positions of the plurality of first moving bodies with respect to each other are identified.