Navigation System Multi-Dimensional Parameter Space Waypoint Routing
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Solution Overview
Problem
Navigating to a destination in multi-dimensional parameter spaces is complex due to numerous waypoints and varying dimensional parameters, making it difficult to efficiently guide an entity along a path to a target goal.
Innovation Solution
A navigation system that evaluates spatial-temporal descriptors to match target criteria, ranking and recommending navigation opportunities, and automatically selecting paths to guide entities between waypoints, using communication interfaces, system circuitry, and databases to analyze and transmit SEOs for efficient movement.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If manual navigation planning is used in multi-dimensional parameter spaces, then flexibility in handling complex waypoints is maintained, but navigation efficiency and accuracy deteriorate due to human error and complexity
Solution Approach 1:
The navigation system performs self-evaluation of spatial-temporal descriptors and automatic selection of navigation opportunities without human intervention. The system serves itself by automatically comparing current state against target criteria, evaluating multiple pathways, and selecting optimal navigation opportunities based on predefined dimensions, thereby eliminating human error while maintaining operational flexibility
Solution Approach 2:
The patent replaces manual mechanical navigation planning with an automated computational system. The system uses circuitry to automatically evaluate spatial-temporal descriptors, compare current state with target criteria across multiple dimensions, and select navigation opportunities, substituting human cognitive processes with machine-based automated decision-making to improve both efficiency and accuracy
2Reliability
If automated navigation systems are implemented, then navigation efficiency and accuracy improve, but system complexity increases due to multiple evaluation dimensions and criteria
Solution Approach 1:
The navigation system segments the complex navigation problem into distinct evaluatable dimensions (spatial, temporal, and other customizable dimensions). Each dimension is evaluated independently through separate circuitry modules that assess specific aspects of the current state against target criteria, allowing the complex multi-dimensional problem to be broken down into manageable, parallel evaluation streams that reduce overall system complexity
Solution Approach 2:
The system employs a universal evaluation framework that can handle multiple dimensions and types of waypoints through a single integrated architecture. The same core circuitry and evaluation logic are applied across different dimensions (spatial, temporal, etc.), allowing the system to manage complexity through standardized multi-functional processing rather than requiring separate specialized systems for each dimension
3Measurement precision
If multiple waypoints with varying dimensional parameters are used, then navigation precision to target goal is improved, but navigation complexity and time required increase
Solution Approach 1:
The system performs preliminary evaluation of multiple navigation opportunities in parallel before committing to a path. By pre-assessing spatial-temporal descriptors and comparing against target criteria across all dimensions beforehand, the system identifies optimal pathways in advance, avoiding time-consuming trial-and-error navigation while maintaining precise targeting through multiple evaluation dimensions
Solution Approach 2:
The patent introduces temporal dimension alongside spatial dimensions in the navigation evaluation. By adding the time component to the evaluation of spatial-temporal descriptors, the system can optimize for both precision (through multiple dimensions) and efficiency (through temporal optimization), selecting pathways that meet target criteria across all dimensions including time, thereby reducing overall navigation time while maintaining precision
Data Source
AI summary
A navigation system for a multi-dimensional parameter space helps facilitate reaching a desired destination along a predefined path. The system provides technical solutions to reaching the destination along even complex paths, including analyzing a large search space for waypoints that fall along the predefined path. For instance, the waypoints along the path may be numerous, may create path branches, or may be characterized by many different dimensional parameters.


