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dc.contributor.authorMc Ginn, Conor
dc.contributor.authorCullinan, Michael F.
dc.date.accessioned2022-01-25T08:05:52Z
dc.date.available2022-01-25T08:05:52Z
dc.date.issued2021
dc.date.submitted2021en
dc.identifier.citationMcGinn, Conor, Bourke, Eamonn, Cullinan, Michael F, An IoT Approach for Monitoring UV Disinfection Robots, IEEE International Conference on Systems, Man, and Cybernetics (SMC), Melbourne, 2021, pp. 3056-3060en
dc.identifier.otherY
dc.identifier.urihttp://hdl.handle.net/2262/97954
dc.description.abstractThe use of ultraviolet germicidal irradiation (UVGI) technology as a means of disinfecting hospitals and other frontline settings has increased significantly in the wake of the COVID-19 pandemic. Although the science of UVGI is well established, it can be difficult to determine in practice if sufficient levels of UVC has been irradiated to kill the target microbes in a room. This research presents the development of a low-cost wireless UVC sensor that can be used to systematically track the UV irradiation dose on target surfaces during a UV disinfection procedure. We present key elements of the design of this device, which included a custom PCB, enclosure, operating software, and graphical user interface. The applicability of the system was assessed through an experiment where the devices were placed at 12 locations in a CT scan treatment room that was subject to a UVGI disinfection procedure using an autonomous UV robot. Over the course of three cleaning sessions, each lasting approximately 10 minutes, it was found that each site location received an average UVC dose of 13mJ/cm 2 , which is more than published D90 values for SARS-Cov-2, influenza, and a number of known pathogens that are commonly found in hospital settings. This study provides early validation of the potential effectiveness of low-power wireless UV level monitoring technology, which may form part of future distributed room sensing networks or as part of smart wearable devices carried by relevant hospital staff.en
dc.language.isoenen
dc.rightsYen
dc.subjectWireless communicationen
dc.subjectWireless sensor networksen
dc.subjectRadiation effectsen
dc.subjectPathogensen
dc.subjectHospitalsen
dc.subjectWearable computersen
dc.subjectRobot sensing systemsen
dc.titleAn IoT Approach for Monitoring UV Disinfection Robotsen
dc.title.alternativeIEEE International Conference on Systems, Man, and Cybernetics (SMC)en
dc.typeConference Paperen
dc.type.supercollectionscholarly_publicationsen
dc.type.supercollectionrefereed_publicationsen
dc.identifier.peoplefinderurlhttp://people.tcd.ie/mcginnco
dc.identifier.rssinternalid237457
dc.identifier.doi10.1109/SMC52423.2021.9659310en
dc.rights.ecaccessrightsopenAccess
dc.subject.TCDThemeImmunology, Inflammation & Infectionen
dc.subject.TCDThemeNext Generation Medical Devicesen
dc.identifier.orcid_id0000-0001-9019-6809
dc.contributor.sponsorScience Foundation Ireland (SFI)en
dc.contributor.sponsorGrantNumber20/COV/0021en


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