Semantic Flux Sensing for Dynamic Crowd Barrier Reconfiguration
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Solution Overview
Problem
Existing systems for managing and controlling crowd flow and access in dynamic environments, such as airports and public spaces, require significant manpower and are inefficient in reconfiguring physical barriers, while also lacking effective means for real-time information dissemination and semantic analysis.
Innovation Solution
A robotic semantic system comprising smart posts with integrated modules for sensing, communication, and actuation, which use semantic analysis to dynamically adjust and reconfigure physical barriers, provide real-time information, and optimize crowd control by forming semantic groups and routes based on inferred conditions and user needs.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If physical barriers are used to control crowd flow and access, then access control and crowd management are achieved, but significant manpower is required and reconfiguration is inefficient
Solution Approach 1:
The system employs autonomous robotic devices that independently perform crowd control functions without continuous human intervention. The robots self-navigate, self-configure into formations, and self-adjust based on sensor input and semantic analysis, enabling the system to serve itself rather than requiring constant manual operation.
Solution Approach 2:
The patent replaces manual mechanical reconfiguration of physical barriers with automated robotic systems equipped with sensors and semantic processing. The mechanical system is substituted by an integrated system combining robotic mobility, optical/electromagnetic sensing, and semantic analysis to achieve automated crowd management.
2Adaptability or versatility
If traditional crowd control methods are used, then physical barriers are established, but real-time adaptation to changing conditions is difficult
Solution Approach 1:
The system transitions from static physical barriers to dynamic robotic formations that can continuously adapt their configuration. The robotic devices can move, reposition, and reconfigure in real-time based on changing crowd conditions, semantic analysis results, and environmental factors, enabling dynamic response rather than static positioning.
Solution Approach 2:
The system incorporates continuous sensing capabilities using optical and electromagnetic sensors to monitor crowd flow, density, and behavior. This sensor data feeds into semantic analysis processes that interpret current conditions and generate appropriate reconfiguration commands, creating a closed-loop feedback system that enables real-time adaptation.
3Loss of information
If semantic analysis is implemented for real-time information processing, then information dissemination is improved, but system complexity increases
Solution Approach 1:
The robotic devices are designed as multi-functional units that combine mobility, sensing (optical and electromagnetic), communication, and semantic processing capabilities in a single platform. This universal design allows the same device to perform multiple functions including crowd monitoring, information dissemination, and physical barrier formation, reducing the need for separate specialized systems.
Solution Approach 2:
The patent merges previously separate functions (physical barrier formation, sensing, communication, and semantic analysis) into an integrated robotic system. The semantic analysis module is combined with the robotic control system, allowing direct processing of sensor data into actionable decisions without requiring separate complex information systems.
Data Source
AI summary
A flux sensing system includes a memory and a processor in communication with the memory and at least one sensing device, the memory storing a plurality of published semantic fluxes associated with a plurality of location-based endpoints and/or item container devices. The flux sensing system is configured to apply semantic analysis to the sensing device inputs and semantic fluxes publishing and further control the publishing between semantic fluxes.