Object-Oriented Vitality Control for Mobile Target Systems
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Solution Overview
Problem
Existing systems fail to dynamically sustain the vitality of target devices like unmanned automobile electronic devices by extending beyond their original spatial position and orientation, leading to issues with energy depletion, physical impacts, foreign contamination, and internal intrusions, which affects their vital activities and information security.
Innovation Solution
A dynamic object-oriented information system that continuously analyzes vital activities, develops programmed mobile activities to gain energy and avoid hazards, and denies access to sensitive information, using a non-transitory computer-readable storage medium with sensory units, a dynamic commanding center, and a rhythmic power unit to maintain vitality and mobility.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If the system uses original spatial position and orientation to maintain vitality, then the system structure remains simple, but the system cannot dynamically adapt to changing environments and sustain vitality over time
Solution Approach 1:
The patent applies dynamics by transitioning from static spatial position and orientation to dynamic time-domain extension. The system continuously updates temporal coordinates and vitality parameters over time, enabling adaptation to changing environments while maintaining a manageable structural framework through standardized temporal tracking mechanisms.
Solution Approach 2:
The patent introduces the time dimension as a fourth coordinate (x, y, z, t) to extend the system beyond traditional three-dimensional spatial tracking. This dimensional addition enables the system to sustain vitality dynamically by monitoring and adjusting parameters across temporal evolution, transforming static position data into dynamic vitality sustenance.
2Reliability
If the system extends into time domain to sustain vitality, then the system can dynamically adapt and avoid hazards, but the system complexity and computational requirements increase
Solution Approach 1:
The patent applies preliminary action by continuously monitoring temporal coordinates and predicting future states before hazards occur. The system proactively identifies potential threats to vitality sustenance and takes preventive measures by adjusting parameters in advance, thereby improving reliability without requiring complex reactive mechanisms.
Solution Approach 2:
The patent implements feedback mechanisms by continuously tracking temporal evolution of vitality parameters and using this information to adjust system behavior. The feedback loop monitors time-domain data, evaluates vitality sustainability, and modifies operational parameters accordingly, enhancing reliability through adaptive control while maintaining systematic simplicity.
3Reliability
If the system continuously analyzes vital activities and develops programmed mobile activities, then the system can gain energy and avoid threats, but the energy consumption increases
Solution Approach 1:
The patent applies self-service by enabling the system to autonomously analyze its own vital activities and independently develop programmed mobile activities for energy acquisition and threat avoidance. The system serves itself by continuously monitoring temporal coordinates, evaluating vitality parameters, and autonomously adjusting operational modes, thereby improving energy acquisition capability while minimizing external control overhead.
4Adaptability or versatility
If the system provides mobility and prompts target system to move, then the system can access energy sources and escape dangers, but the control complexity increases
Solution Approach 1:
The patent applies universality by designing a control system that handles multiple functions through a unified temporal coordinate framework. The same time-domain extension mechanism that enables vitality sustenance also drives mobility decisions, energy source access, and danger escape behaviors, thereby improving adaptability without proportionally increasing control complexity through standardized multi-purpose protocols.
Data Source
AI summary
A method for monitoring and sustaining vitality of a target system (TS) dynamically by providing an object oriented information system (OOIS) for TS, receiving and monitoring information of surrounding environment of TS and information within TS by sensory units; creating received and monitored information wave packets (RMIWP); transform RMIWP into one or more processed information wave packets (PIWP) by translating frequencies of RMIWP into a common frequency; storing PIWP in ordered time sequence, space and logical classifications; recognizing strategic events (SE) based on stored PIWP, refining details of SE, recognizing a criteria for maximum vitality of TS, recognizing future plans (FP) based on SE and evaluating vitality of OOIS and recognizing a FP with maximum vitality, converting FP into steps in time and space for a motor unit for moving TS, monitoring movement of TS, comparing outcome with the criteria, and dynamically selecting a FP with maximum vitality.