Wireless-Energy Robotic Door Lock for Adaptive Access Control
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Solution Overview
Problem
Existing robotic systems for crowd control and access management are inefficient as they require manual reconfiguration and lack adaptive capabilities to dynamically respond to changing conditions and user needs.
Innovation Solution
A semantic robotic system comprising smart posts with integrated modules such as power, control, and sensor sections, which use semantic routes and rules for autonomous operation, semantic augmentation, and adaptive inference to dynamically adjust and reconfigure for optimal performance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If manual reconfiguration is used for crowd control devices, then device complexity is reduced, but productivity and adaptability deteriorate due to inefficiency and inability to dynamically respond to changing conditions
Solution Approach 1:
The robotic door lock system is divided into modular components including a robotic mechanism, control unit, sensor array, and communication module. Each module performs a specific function and can be independently controlled, enabling automated operation while maintaining manageable system complexity through functional segmentation.
Solution Approach 2:
The robotic door lock integrates multiple functions into a single system: access control, crowd monitoring via sensors, automated locking/unlocking mechanisms, and communication capabilities. This multi-functionality eliminates the need for separate manual control systems while improving operational efficiency.
2Adaptability or versatility
If automated robotic systems are implemented for access control, then productivity and adaptability improve, but device complexity increases
Solution Approach 1:
The robotic door lock system dynamically adjusts its operation based on real-time sensor data and communication inputs. The control unit processes information from the sensor array and modifies locking/unlocking behavior, access control parameters, and crowd management strategies in response to changing conditions, enabling adaptive operation.
Solution Approach 2:
The system incorporates a sensor array that continuously monitors environmental conditions, crowd density, and door status. This feedback is processed by the control unit, which automatically adjusts system behavior to maintain optimal operation, enabling the system to adapt to changing conditions without manual intervention.
3Measurement precision
If integrated sensor and control modules are added to robotic locks, then measurement precision and adaptability improve, but device complexity increases
Solution Approach 1:
The patent integrates the sensor array, control unit, robotic mechanism, and communication module into a unified robotic door lock system. These components are merged into a coordinated structure where sensors detect environmental conditions, the control unit processes information, and the robotic mechanism executes actions, reducing the need for separate systems while improving measurement precision and adaptability.
Data Source
AI summary
A robotic door lock includes a lockable spinner having a spinner shell coupled to a bolt rail and an axial profile coupled to a door handle or knob. A processor selectively engages the spinner shell with the axial profile via an actuator to enable the manipulation of the bolt. The robotic lock has a wireless module, an actuator, and a processor in communication with the actuator and a wireless module. The wireless module uses a wireless energy harvester configured to receive energy from a user device or a post infrastructure to power the processor, the actuator and the memory. The wireless energy harvester may be connected to an internal energy storage.