Mobile Patient Bed Automated Docking With Medical Devices
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Solution Overview
Problem
The manual docking of mobile patient beds with medical devices, such as MRI equipment, is inefficient and requires significant effort, leading to time wastage and inconvenience due to high positioning requirements.
Innovation Solution
A controlling method and system that utilizes positioning information to automatically plan and execute the movement of a mobile patient bed to dock with a medical device, using mechanical connection structures and sensors for precise alignment.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If manual docking is used, then the system is simple and easy to operate, but the docking efficiency is low and time-consuming
Solution Approach 1:
The patent replaces the manual mechanical docking system with an automated control system that uses sensors (optical, ultrasonic, electromagnetic) to detect position and automatically controls the patient bed's movement. This substitution of mechanical manual operation with automated sensing and control systems resolves the contradiction by significantly improving docking efficiency while accepting increased system complexity through integration of these sensing and control components.
2Measurement precision
If automated docking is implemented, then the docking precision is improved, but the device complexity increases
Solution Approach 1:
The patent introduces intermediary sensing systems (optical sensors, ultrasonic sensors, electromagnetic sensors) that act as mediators between the patient bed and the medical device. These sensors automatically detect positioning information and transmit it to the control system, enabling precise docking without requiring complex direct control mechanisms. The intermediary sensors simplify the control architecture while achieving high precision.
Solution Approach 2:
The patent implements feedback mechanisms where sensors continuously monitor the patient bed's position relative to the medical device and provide real-time positioning information to the control system. The control system processes this feedback and automatically adjusts the bed's movement to achieve accurate docking. This closed-loop feedback system ensures high docking precision while keeping the control logic manageable through iterative correction.
3Ease of operation
If manual pushing is used, then the equipment cost is low, but the workload on healthcare personnel is high
Solution Approach 1:
The patent enables the patient bed system to serve itself by equipping it with autonomous navigation capabilities. The bed uses onboard sensors to detect its own position, determine the location of the medical device, and automatically navigate to the docking position without requiring healthcare personnel to manually push or guide it. This self-service automation dramatically reduces personnel workload while maintaining reasonable equipment costs through the use of standard sensing technologies.
Data Source
AI summary
A controlling system method docking for a mobile patient bed with a medical device. The method may include: obtaining, based on a docking instruction, positioning information of a target; controlling, based on the positioning information of the target, a movement of the mobile patient bed; and in response to determining that the mobile patient bed moves into a docking region of the medical device, controlling the mobile patient bed to dock with the medical device using a first docking structure on the mobile patient bed and a second docking structure on the medical device, wherein the first docking structure and the second docking structure are mechanical connection structures. By adopting the embodiments of the present disclosure, an operator may carry a mobile device to move, and control the movement of the patient bed by continuously changing a position of the mobile device, or may enable the patient bed to obtain an automatically planned path through the positioning information of the medical device and to move along the automatically planned path.