Pseudorandom Node Encoding for Complex Structure Location
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Solution Overview
Problem
Determining a specific location within complex structures, such as 3D structures assembled from joint nodes and tensegrity links, is challenging due to their repeating patterns, which complicates the assembly process and requires unique components, making it difficult to identify the correct connections and orientations.
Innovation Solution
A method using pseudorandom encoding of nodes in a complex structure, where non-unique identifiers are assigned to each node based on a pseudo-random sequence, allowing for the determination of a location by capturing and decoding these identifiers, enabling further assembly instructions and improving the assembly process.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Difficulty of detecting and measuring
If unique components are used for each node in complex structures, then location identification becomes easier, but device complexity and manufacturing cost increase
Solution Approach 1:
Each node is assigned a unique pseudorandom code sequence that is locally distinct while maintaining global consistency with the repeating structure pattern. This allows location identification without requiring physically unique components throughout the entire structure.
Solution Approach 2:
The patent changes the parameter of node identification from physical component uniqueness to encoded information uniqueness. By encoding pseudorandom sequences in the nodes, the system achieves location distinguishability through information parameters rather than physical parameters.
2Manufacturing precision
If pseudorandom encoding is used for location determination, then assembly precision improves, but information processing complexity increases
Solution Approach 1:
The patent replaces manual location identification methods with automated optical or electromagnetic scanning systems that read the pseudorandom codes encoded on nodes, eliminating the need for complex mechanical measurement devices.
Solution Approach 2:
The system uses encoded information copies (pseudorandom sequences) of location data stored on each node, which can be rapidly read and processed without physically measuring or mapping the entire structure.
3Loss of substance
If repeating patterns are used in structure design, then material efficiency improves, but location identification becomes more difficult
Solution Approach 1:
Pseudorandom codes are pre-encoded on each node during manufacturing, establishing unique location identifiers before assembly. This preliminary action enables subsequent easy location identification without affecting the repeating pattern design benefits.
Solution Approach 2:
The structure is conceptually segmented into individually identifiable nodes, each carrying its own location code. This segmentation allows the repeating macro-pattern to be maintained while enabling micro-level location distinction through coded information.
Data Source
AI summary
A system and method for determining a location within a physical structure are described. The location within the physical structure can be determined by storing a model of a physical structure comprising a plurality of nodes connected by a plurality of struts, each of the nodes and struts of the model corresponding to respective nodes and struts of the physical structure; assigning a non-unique ID to each node of the model according to a pseudo-random sequence, wherein each node of the physical structure encodes the non-unique ID assigned to the corresponding node of the model; receiving a set of non-unique IDs encoded onto respective nodes of a contiguous subset of nodes of the physical structure; locating a set of non-unique IDs in the model corresponding to the received set of non-unique IDs; and determining a location in the physical structure from the located set of non-unique IDs in the model.