Outdoor Workers Exposed to UV Radiation: Comparison of UV Index Forecasting Methods

Leccese, Francesco; Salvador, G.; Lista, Davide; Burattini, Chiara

doi:10.1109/eeeic.2018.8494621

Cited by 11 publications

(6 citation statements)

References 23 publications

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“…Leccese et al [13] describe a comparative analysis of two methods, method (A) and method (B), which are used for UV index prediction. Method (A) is based on estimation of total UV radiation from total solar irradiance and method (B) is based on measured UV regression models.…”

Section: Literature Reviewmentioning

confidence: 99%

IoT System for Ultraviolet Ray Index Monitoring

Almeida

Barreto²,

Souto³

et al. 2019

Int J Innov Educ Res

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Este artigo apresenta um sistema de monitoramento de índice ultravioleta usando aplicativos de IoT. O objetivo é auxiliar na prevenção de doenças causadas pela radiação solar ultravioleta por meio de mensagens de aviso com medidas preventivas a cada alteração no nível do índice ultravioleta ao longo do tempo. O monitoramento do índice de UV é de fundamental importância para a prevenção de várias doenças, como câncer de pele, doenças cardiovasculares, falta de cálcio e outras. O sistema apresentou bons resultados no monitoramento do índice UV, apresentando valores medidos dos índices UV de acordo com a radiação solar observada durante os experimentos, classificados de acordo com a Organização Mundial de Saúde (OMS).

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Section: Literature Reviewmentioning

confidence: 99%

IoT System for Ultraviolet Ray Index Monitoring

Almeida

Barreto²,

Souto³

et al. 2019

Int J Innov Educ Res

View full text Add to dashboard Cite

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“…In addition, it can be used to sterilize in air and water or on the surface, showing the effectiveness of UVC when sterilizing indoors [ 3 , 4 ]. However, direct UVC exposure is harmful to the skin and eyes [ 5 , 6 , 7 ], and an immobile disinfection system cannot be used to sterilize in some areas hidden behind obstacles. Hence, the autonomous disinfection vehicle without human operation is suitable for this dirty, dull, and dangerous task [ 8 ].…”

Section: Introductionmentioning

confidence: 99%

Ultra-Wideband Positioning Sensor with Application to an Autonomous Ultraviolet-C Disinfection Vehicle

Huang

Neo

Chen

et al. 2021

Sensors

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Due to the COVID-19 virus being highly transmittable, frequently cleaning and disinfecting facilities is common guidance in public places. However, the more often the environment is cleaned, the higher the risk of cleaning staff getting infected. Therefore, strong demand for sanitizing areas in automatic modes is undoubtedly expected. In this paper, an autonomous disinfection vehicle with an Ultraviolet-C (UVC) lamp is designed and implemented using an ultra-wideband (UWB) positioning sensor. The UVC dose for 90% inactivation of the reproductive ability of COVID-19 is 41.7 J/m2, which a 40 W UVC lamp can achieve within a 1.6 m distance for an exposure time of 30 s. With this UVC lamp, the disinfection vehicle can effectively sterilize in various scenarios. In addition, the high-accuracy UWB positioning system, with the time difference of arrival (TDOA) algorithm, is also studied for autonomous vehicle navigation in indoor environments. The number of UWB tags that use a synchronization protocol between UWB anchors can be unlimited. Moreover, this proposed Gradient Descent (GD), which uses Taylor method, is a high-efficient algorithm for finding the optimal position for real-time computation due to its low error and short calculating time. The generalized traversal path planning procedure, with the edge searching method, is presented to improve the efficiency of autonomous navigation. The average error of the practical navigation demonstrated in the meeting room is 0.10 m. The scalability of the designed system to different application scenarios is also discussed and experimentally demonstrated. Hence, the usefulness of the proposed UWB sensor applied to UVC disinfection vehicles to prevent COVID-19 infection is verified by employing it to sterilize indoor environments without human operation.

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“…The UV Index (UVI) is a parameter promoted by the World Health Organization (WHO) to indicate the risk level for skin damage [14]. It is a dimensionless number, ranging from 1 (low) to 11+ (extreme), based on the Erythemal UV irradiance at the ground [15].…”

Section: Introductionmentioning

confidence: 99%

Sun Exposure of Body Districts: Development and Validation of an Algorithm to Predict the Erythemal Ultra Violet Dose

Salvadori

Lista

Burattini

et al. 2019

IJERPH

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Solar Ultra-Violet (UV) radiation has positive and negative effects on human body tissues. Small doses of solar UV radiation are needed by the human skin for the activation of the vitamin D production. Overexposure to solar UV radiation can produce acute and long-term negative effects, such as sunburns and, in the worst cases, cataracts and skin cancers. For this reason, knowing the amount of UV doses received by people is essential to evaluate their risk to UV overexposure and to evaluate the adequate countermeasure to avoid the negative effects. The original contribution of the present study consists in having searched, collected, adapted and processed a series of technical information and analytical relations, developing an algorithm suitable for the calculation of the erythemal UV dose on sloped surfaces exposed to solar radiation, which at the moment is not present in the scientific literature. The results obtained by the algorithm have been compared to the results of a field measurements campaign, carried out in three different Italian sites. Results comparison indicated that measured and calculated values show a sufficient level of agreement, with a mean absolute error equal to 20%.

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Outdoor Workers Exposed to UV Radiation: Comparison of UV Index Forecasting Methods

Cited by 11 publications

References 23 publications

IoT System for Ultraviolet Ray Index Monitoring

IoT System for Ultraviolet Ray Index Monitoring

Ultra-Wideband Positioning Sensor with Application to an Autonomous Ultraviolet-C Disinfection Vehicle

Sun Exposure of Body Districts: Development and Validation of an Algorithm to Predict the Erythemal Ultra Violet Dose

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