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用于房间消毒应用中剂量监测和操作人员安全的无线紫外线感应网络的开发和演示。

Development and Demonstration of a Wireless Ultraviolet Sensing Network for Dose Monitoring and Operator Safety in Room Disinfection Applications.

机构信息

Akara Robotics Ltd., D08 TCV4 Dublin, Ireland.

Department of Mechanical and Manufacturing Engineering, Trinity College Dublin, D02 PN40 Dublin, Ireland.

出版信息

Sensors (Basel). 2023 Feb 23;23(5):2493. doi: 10.3390/s23052493.

Abstract

The use of mobile ultraviolet-C (UV-C) disinfection devices for the decontamination of surfaces in hospitals and other settings has increased dramatically in recent years. The efficacy of these devices relies on the UV-C dose they deliver to surfaces. This dose is dependent on the room layout, the shadowing, the position of the UV-C source, lamp degradation, humidity and other factors, making it challenging to estimate. Furthermore, since UV-C exposure is regulated, personnel in the room must not be exposed to UV-C doses beyond occupational limits. We proposed a systematic method to monitor the UV-C dose administered to surfaces during a robotic disinfection procedure. This was achieved using a distributed network of wireless UV-C sensors that provide real-time measurements to a robotic platform and operator. These sensors were validated for their linearity and cosine response. To ensure operators could safely remain in the area, a wearable sensor was incorporated to monitor the UV-C exposure of an operator, and it provided an audible warning upon exposure and, if necessary, ceased the UV-C emission from the robot. Enhanced disinfection procedures could then be conducted as items in the room could be rearranged during the procedure to maximise the UV-C fluence delivered to otherwise inaccessible surfaces while allowing UVC disinfection to occur in parallel with traditional cleaning. The system was tested for the terminal disinfection of a hospital ward. During the procedure, the robot was manually positioned in the room by the operator repeatedly, who then used feedback from the sensors to ensure the desired UV-C dose was achieved while also conducting other cleaning tasks. An analysis verified the practicality of this disinfection methodology while highlighting factors which could affect its adoption.

摘要

近年来,移动紫外线-C(UV-C)消毒设备在医院和其他场所用于表面消毒的使用显著增加。这些设备的功效依赖于它们向表面提供的 UV-C 剂量。该剂量取决于房间布局、遮挡物、UV-C 源的位置、灯的衰减、湿度和其他因素,这使得剂量难以估计。此外,由于 UV-C 暴露受到监管,因此房间内的人员不得暴露于超过职业限制的 UV-C 剂量下。我们提出了一种系统的方法来监测机器人消毒过程中表面接受的 UV-C 剂量。这是通过使用分布式无线网络 UV-C 传感器实现的,这些传感器实时向机器人平台和操作人员提供测量数据。这些传感器的线性度和余弦响应得到了验证。为了确保操作人员能够安全地留在该区域,我们还纳入了一个可穿戴传感器来监测操作人员的 UV-C 暴露情况,如果暴露量超过安全值,传感器会发出声音警告,如果有必要,它会停止机器人的 UV-C 发射。然后,可以进行增强的消毒程序,因为可以在程序期间重新安排房间内的物品,以最大限度地提高输送到其他无法到达的表面的 UV-C 强度,同时允许 UV-C 消毒与传统清洁并行进行。该系统已在医院病房的终端消毒中进行了测试。在程序期间,操作人员手动反复将机器人定位在房间内,然后根据传感器的反馈确保达到所需的 UV-C 剂量,同时执行其他清洁任务。分析验证了这种消毒方法的实用性,同时强调了可能影响其采用的因素。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5ae8/10007517/aadde1f48ec7/sensors-23-02493-g001.jpg

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