Hoist System Using Ambient Depth Data for Ceiling Payload Positioning
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
There is a need for efficient space utilization in urban housing, particularly in controlling the motion of household object payloads to optimize space usage, which existing technologies have not adequately addressed.
Innovation Solution
A hoist system that utilizes ambient depth data, combined with image sensor systems and a controller, to lift and position household object payloads, such as beds, wardrobes, or storage containers, adjacent to the ceiling, thereby freeing up floor space. The system includes a hoist system, frame with integrated lighting and alignment guides, image sensor systems, and a controller that processes visual and depth data to safely and efficiently manage payload movement.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Area of stationary object
If a hoist system is used to lift payloads to ceiling position, then floor space utilization is improved, but safety risks increase due to potential collisions with obstacles in the room
Solution Approach 1:
The system performs preliminary scanning of the room environment using depth sensors before initiating payload movement. This advance detection of obstacles and safe zones allows the controller to plan collision-free trajectories, eliminating the safety risk while maintaining the space-saving benefit of ceiling storage
Solution Approach 2:
Depth sensors and image processing algorithms act as intermediaries between the hoist system and the physical environment. These sensors create a digital representation of the room layout, enabling the controller to navigate the payload safely through intermediate calculation of safe motion paths without direct physical contact or collision with obstacles
2Reliability
If ambient depth data is collected and processed, then safety and obstacle avoidance are improved, but system complexity increases
Solution Approach 1:
The depth sensing system serves multiple functions simultaneously: it maps the room layout, detects obstacles, identifies safe zones, and provides navigation data. This multi-functionality reduces the need for separate specialized sensors for each task, thereby limiting the increase in system complexity while achieving comprehensive safety and reliability
Solution Approach 2:
The system uses the existing depth data infrastructure to serve its own navigation and safety needs. The same sensors that map the environment also directly provide the data needed for collision avoidance, eliminating the need for additional dedicated safety sensors and reducing overall system complexity
Data Source
AI summary
A system has a hoist system to lift a payload to a position adjacent to a ceiling of a room Image sensor systems collect visual data and payload depth data within the payload and ambient depth data within the room. A controller is connected to the hoist system and the image sensor systems. The controller is configured to control the motion of the hoist system. The motion of the hoist system is controlled in part by the ambient depth data from the room.