Robotic Smart Posts for Autonomous Crowd Area Reconfiguration
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Solution Overview
Problem
Existing systems for managing crowd control and guiding areas require significant manpower for reconfiguration and lack efficient methods for dynamic information gathering and presentation.
Innovation Solution
Robotic smart posts equipped with modular components such as power, control, and sensor sections, capable of autonomous movement and semantic inference, allowing for dynamic reconfiguration and semantic augmentation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Extent of automation
If manual reconfiguration of crowd control posts is used, then system flexibility is maintained, but labor cost and time consumption increase significantly
Solution Approach 1:
The crowd control system is divided into modular posts, each with independent power sections, control sections, and sensor sections. These modular units can be independently manufactured, deployed, and reconfigured, enabling automated system-level reconfiguration without requiring complex integrated designs.
Solution Approach 2:
Each smart post is equipped with autonomous navigation capabilities, onboard sensors, and communication modules that allow it to self-position and self-configure within the crowd control formation. The posts can independently respond to control signals and adapt their positions without manual intervention, achieving self-service reconfiguration.
2Adaptability or versatility
If static information display is used on posts, then system simplicity is maintained, but information presentation capability is limited
Solution Approach 1:
The smart posts are designed with multi-functional capabilities including optical sensors for detection, displays for information presentation, and communication modules for data exchange. This universal design allows a single post structure to perform multiple functions: crowd monitoring, information display, and inter-post communication, thereby enhancing adaptability without proportionally increasing complexity.
3Reliability
If continuous manual monitoring of crowd areas is performed, then real-time information accuracy is maintained, but resource consumption increases
Solution Approach 1:
Each smart post is equipped with optical sensors and other detection devices that continuously monitor crowd density, movement patterns, and environmental conditions. This sensor data is fed back to the control section of each post and to centralized control systems, enabling real-time detection and automatic adjustment of crowd control configurations without requiring continuous manual monitoring, thereby maintaining information accuracy while improving resource efficiency.
Data Source
AI summary
A flux 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 to infer an activity interest semantic based on an input, and to assign at least one augmentation servicing agent to service an activity interest based on semantic matching.