Semantic Flux Sensing for Reconfigurable Smart Post Control
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Solution Overview
Problem
Existing robotic systems for crowd control and semantic augmentation lack versatility and efficiency in reconfiguring and adapting to dynamic environments, requiring significant manpower for setup and maintenance, and are limited in their ability to perform semantic inference and information processing.
Innovation Solution
A modular robotic semantic system comprising smart posts with integrated components such as power, control, and sensor modules, capable of autonomous movement and reconfiguration, using semantic routes and rules for semantic augmentation, signal conditioning, and video processing to adapt to various settings and tasks.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If manual setup and maintenance of crowd control devices is used, then system reliability is maintained, but productivity is reduced due to significant manpower requirements
Solution Approach 1:
The smart post system performs self-setup and self-maintenance through autonomous navigation capabilities. The posts can independently move to designated positions, self-assemble into required configurations, and perform self-diagnostics without human intervention, thereby eliminating the need for significant manpower while maintaining system reliability
Solution Approach 2:
The patent replaces manual mechanical operations with automated robotic systems. The smart posts use sensors, processors, and actuators to perform functions that previously required human operators, substituting mechanical human labor with automated electromechanical systems
2Adaptability or versatility
If fixed configuration crowd control devices are used, then manufacturing precision is maintained, but adaptability is reduced in dynamic environments
Solution Approach 1:
The smart post system transitions from static fixed configurations to dynamic reconfigurable structures. The posts can change their positions, orientations, and formations in real-time based on environmental conditions and task requirements, enabling adaptability to dynamic environments while managing complexity through modular design
Solution Approach 2:
The patent designs smart posts with universal capabilities that can perform multiple functions across different scenarios. Each post is equipped with sensors, communication modules, and actuators that enable it to adapt to various configurations and tasks, reducing the need for specialized devices for each situation
3Measurement precision
If basic sensing capabilities are used, then device complexity is minimized, but measurement precision is insufficient for semantic inference
Solution Approach 1:
The patent combines multiple sensing capabilities (optical sensors, RFID readers, cameras, microphones) into integrated smart post units. These merged sensors work together to capture and process semantic information from the environment, achieving high measurement precision for semantic inference while managing complexity through unified sensor fusion architecture
Data Source
AI summary
A flux sensing system includes a memory and a processor in communication with the memory and a sensing device, the memory storing a plurality of capabilities and a plurality of semantic fluxes associated with the plurality of capabilities. The computing system is configured to infer a semantic based on received inputs and route the inputs to the semantic fluxes based on semantic drift inference between their associated capabilities and inferred semantic. Further, it positions the sensing device for receiving the input from a user in an optimal manner.