Self-Navigating Overhead Support System for Collision Avoidance
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Solution Overview
Problem
Existing X-ray systems with overhead support systems face inefficiencies and collision risks due to the need for predefined paths and manual adjustments, which can be overlooked in urgent medical situations.
Innovation Solution
A self-navigating and positioning system that uses a multiple degree of freedom overhead support system equipped with visual and non-visual sensors, a motion controller, and a processor to generate a 3D map of the environment and navigate the X-ray source to avoid collisions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If predefined paths are used for overhead support system movement, then collision avoidance is improved, but adaptability to different room configurations deteriorates
Solution Approach 1:
The system transitions from static predefined paths to dynamic real-time navigation. The overhead support system continuously receives updated environmental data from sensors, processes this information to generate adaptive paths, and adjusts its movement in real-time based on detected obstacles and room configurations, enabling flexible adaptation to varying conditions while maintaining collision avoidance
Solution Approach 2:
The system implements continuous feedback loops where sensors monitor the environment and overhead support system position, this information is fed back to the control system which updates the navigation path accordingly. This closed-loop feedback mechanism enables the system to adapt to changing room configurations and avoid collisions dynamically
2Object-affected harmful factors
If manual adjustments are made for X-ray source positioning, then collision risk is reduced, but imaging efficiency deteriorates
Solution Approach 1:
The overhead support system performs self-navigation and self-positioning using integrated sensors and autonomous control algorithms. The system independently detects obstacles, calculates safe paths, and executes movement without requiring manual intervention, thereby maintaining high imaging efficiency while eliminating collision risks associated with manual operation
Solution Approach 2:
The system replaces manual mechanical adjustment with automated electronic control. Instead of requiring physical or remote manual positioning, the system uses sensor data processing, computer vision, and automated motor control to position the X-ray source, eliminating human error and improving both safety and efficiency
3Productivity
If overhead support system moves quickly to improve efficiency, then productivity is improved, but collision risk increases
Solution Approach 1:
The system maintains continuous sensor monitoring and real-time path planning during movement. The navigation system operates continuously, constantly updating the environmental map and adjusting the path based on current conditions, allowing the overhead support system to move efficiently while maintaining constant awareness of collision risks and adapting accordingly
Data Source
AI summary
An imaging system includes an overhead support system mounted within an environment for the imaging system, an imaging device mounted to the overhead support system, visual and non-visual sensors disposed on the imaging device, a motion controller operably connected to the overhead support system, a processor operably connected to the motion controller and the visual and non-visual sensors to send and receive data signals from the motion controller, and the visual and non-visual sensors, and a memory operably connected to the processor and storing instructions for a self-navigating and positioning system that generates a three-dimensional (3D) map of the environment with data from the visual and non-visual sensors and position data from the motion controller to navigate the overhead support system within the environment from a start position to a finish position to avoid collisions with one or more objects within the environment.