Smart Post Semantic Routing for Adaptive Crowd Control
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Solution Overview
Problem
Existing robotic systems for crowd control and semantic augmentation lack the ability to efficiently reconfigure and adapt to dynamic environments, requiring significant manpower for setup and maintenance, and struggle with real-time information processing and semantic inference.
Innovation Solution
A modular robotic semantic system comprising smart posts with integrated modules such as power, control, and sensor sections, capable of autonomous movement and semantic inference, which can form semantic groups and reconfigure to adapt to changing conditions through semantic routing and rules.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If robotic devices are used for crowd control and demarking areas, then information gathering and presentation capabilities are improved, but device complexity and setup requirements increase
Solution Approach 1:
The smart post is designed as a multi-functional device that simultaneously performs crowd control, information gathering through optical sensors, information presentation through displays, and wireless communication. This universal design allows a single device to replace multiple separate systems, reducing overall complexity while maintaining comprehensive functionality
2Adaptability or versatility
If fluid regions require reconfiguration, then adaptability to dynamic environments is improved, but manpower requirements and time consumption increase
Solution Approach 1:
The system employs dynamically reconfigurable smart posts with mobile bases that can autonomously move and reposition themselves. The posts can change their spatial arrangement and configuration in real-time based on environmental conditions and operational requirements, enabling rapid adaptation without manual intervention
Solution Approach 2:
The smart posts are equipped with autonomous navigation and self-reconfiguration capabilities through integrated control systems, sensors, and wireless communication. The devices can independently determine their positions, adjust their configurations, and coordinate with other posts without requiring external human operation,从而实现 self-service reconfiguration
3Loss of information
If real-time semantic processing is implemented, then information presentation quality is improved, but computational requirements and system complexity increase
Solution Approach 1:
The system introduces wireless communication modules and centralized coordination mechanisms as intermediaries between the smart posts and control systems. This allows semantic processing and complex computations to be distributed or centralized appropriately, reducing the computational burden on individual devices while maintaining real-time processing capabilities through coordinated operation
Data Source
AI summary
A sensing system includes a sensor with a computing system and a memory in communication with the computing system, the memory storing a plurality of endpoints. The computing system is configured to receive activity preferences from a device at an endpoint and further determines the likeability of the activities at the endpoint. Further, it receives semantic identification preferences from the device in communication with the computing system and the system blurs the corresponding semantic identities based on the received preferences.