Coverage Planning for UVC Irradiation: Robot Surface Disinfection Based on Swarm Intelligence Algorithm.

Peiyao Guo, Dekun Luo, Yizhen Wu, Sheng He, Jianyu Deng, Huilu Yao, Wenhong Sun, Jicai Zhang

Abstract read

In one paragraph

Article in Sensors (Basel, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 · Who and what money

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8 authors.

Peiyao GuoResearch Center for Optoelectronic Materials and Devices, Guangxi Key Laboratory for the Relativistic Astrophysics, School of Physical Science & Technology, Guangxi University, Nanning 530004, China.

Dekun LuoResearch Center for Optoelectronic Materials and Devices, Guangxi Key Laboratory for the Relativistic Astrophysics, School of Physical Science & Technology, Guangxi University, Nanning 530004, China.

Yizhen WuResearch Center for Optoelectronic Materials and Devices, Guangxi Key Laboratory for the Relativistic Astrophysics, School of Physical Science & Technology, Guangxi University, Nanning 530004, China.

Sheng HeResearch Center for Optoelectronic Materials and Devices, Guangxi Key Laboratory for the Relativistic Astrophysics, School of Physical Science & Technology, Guangxi University, Nanning 530004, China.

Jianyu DengResearch Center for Optoelectronic Materials and Devices, Guangxi Key Laboratory for the Relativistic Astrophysics, School of Physical Science & Technology, Guangxi University, Nanning 530004, China.

Huilu YaoSchool of Electrical Engineering, Guangxi University, Nanning 530004, China.

Wenhong SunResearch Center for Optoelectronic Materials and Devices, Guangxi Key Laboratory for the Relativistic Astrophysics, School of Physical Science & Technology, Guangxi University, Nanning 530004, China.ORCID 0000-0002-2936-767X

Jicai ZhangCollege of Mathematics and Physics, Beijing University of Chemical Technology, Beijing 100029, China.

Funding

Disinfection Robot Based on High Power AlGaN-based UVLEDs, No. BB31200014Guangxi Science and Technology Base and Talent Special Project, No. 2021AC20026Guangxi Science and Technology Program, No. AD19245132Guangxi University Foundation, No. A3120051010High luminous efficiency and long life DUV LED technology, No. AC22080003National Key Research and Development Program Nos. 2022YFB3605100 and 2022YFB3605101Production Development of Epitaxial Wafers Grown by MOCVD. No. KY03000031224002the Natural Science Foundation of Guangxi, No. 2021GXNSFAA075005the Natural Science Foundation of Guangxi Province, No. 2021JJA170187

6 · The paper itself

Abstract

Ultraviolet (UV) radiation has been widely utilized as a disinfection strategy to effectively eliminate various pathogens. The disinfection task achieves complete coverage of object surfaces by planning the motion trajectory of autonomous mobile robots and the UVC irradiation strategy. This introduces an additional layer of complexity to path planning, as every point on the surface of the object must receive a certain dose of irradiation. Nevertheless, the considerable dosage required for virus inactivation often leads to substantial energy consumption and dose redundancy in disinfection tasks, presenting challenges for the implementation of robots in large-scale environments. Optimizing energy consumption of light sources has become a primary concern in disinfection planning, particularly in large-scale settings. Addressing the inefficiencies associated with dosage redundancy, this study proposes a dose coverage planning framework, utilizing MOPSO to solve the multi-objective optimization model for planning UVC dose coverage. Diverging from conventional path planning methodologies, our approach prioritizes the intrinsic characteristics of dose accumulation, integrating a UVC light efficiency factor to mitigate dose redundancy with the aim of reducing energy expenditure and enhancing the efficiency of robotic disinfection. Empirical trials conducted with autonomous disinfecting robots in real-world settings have corroborated the efficacy of this model in deactivating viruses.

Indexed as

AIGaN-based UVC LEDcoverage path planningdisinfection robotirradiation planner

Identifiers

PMID38894209

DOI10.3390/s24113418

PMCPMC11174843

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.