Mobile UVC Disinfection Robot for Shadow-Aware Dosage Planning
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current UVC disinfection systems face challenges such as shadow effects, uncertainty in dosage delivery, high energy consumption, limited operation time, and lack of flexible and fast deployment, especially in hospital environments, due to the need for prior mapping and path planning, leading to inefficient disinfection processes.
Innovation Solution
A mobile service robot equipped with software and algorithms that autonomously plans UVC disinfection paths, models UVC dosage delivery, and uses computer vision and wireless sensors to ensure accurate disinfection while minimizing energy use, allowing for flexible deployment in both mapped and unmapped environments.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If moveable UVC lamps are used to reduce shadows and deliver adequate dosage, then disinfection effectiveness is improved, but energy consumption increases significantly (1-2 kW)
Solution Approach 1:
The patent employs a mobile robot platform that dynamically moves UVC lamps to multiple locations throughout the room, allowing the system to deliver adequate UVC dosage to all surfaces while managing energy consumption through optimized movement patterns and timing
Solution Approach 2:
The system uses periodic illumination patterns where UVC lamps are activated in sequences at different locations, delivering germicidal doses to various surfaces over time while allowing energy management between activation cycles
2Reliability
If UVC lamps are moved manually to eliminate shadows, then disinfection coverage is improved, but labor requirements and error potential increase
Solution Approach 1:
The mobile robot autonomously navigates and positions UVC lamps without human intervention, using onboard sensors and algorithms to identify surfaces requiring disinfection and automatically move to appropriate positions, making the system self-sufficient in eliminating shadows and ensuring coverage
Solution Approach 2:
The patent replaces manual mechanical movement of UVC lamps with an automated mobile robot system that uses electronic control, sensors, and autonomous navigation to achieve lamp positioning, eliminating human labor and associated errors
3Duration of action of moving object
If mobile robots with large batteries are used for UVC disinfection, then operation time is extended, but robot weight and charging time increase
Solution Approach 1:
The system optimizes battery capacity and power consumption parameters to achieve sufficient operation time for complete room disinfection cycles, balancing battery size with robot weight constraints and charging infrastructure availability
4Measurement precision
If prior mapping and path planning are required for robot deployment, then disinfection precision is improved, but deployment flexibility and speed decrease
Solution Approach 1:
The system performs preliminary mapping and path planning computations before actual disinfection operations, preparing navigation routes and UVC delivery sequences in advance to ensure precise dosage delivery while maintaining the ability to adapt to different environments
Solution Approach 2:
The mobile robot system is designed with universal capabilities to operate in both pre-mapped and unmapped environments, using adaptive navigation algorithms that can function with or without prior environmental knowledge, enhancing deployment flexibility
Data Source
AI summary
Systems and methods for robot-executed site disinfection are provided, employing an autonomous robot equipped with a germicidal light source. In an area that is already mapped with a pre-defined trajectory, the robot may generate a map of delivered dosage and regions of UVC shadows when the robot moves in the environment. Alternatively, the robot may generate a trajectory to be followed, optimized to reduce shadows and minimize electrical energy usage. In an area already mapped, the robot may generate a map of delivered dosage and of shadows. Alternatively, the robot may generate a trajectory to disinfect surfaces based on an area map while reducing shadows and minimizing electrical energy usage. In an unmapped area, the robot may employ an exploration strategy to generate a trajectory to create a map of the area, while simultaneously performing disinfection of surfaces using a minimum amount of electrical energy.


