Akara Robotics Ltd., D08 TCV4 Dublin, Ireland.
Department of Mechanical and Manufacturing Engineering, Trinity College Dublin, D02 PN40 Dublin, Ireland.
Sensors (Basel). 2023 Feb 23;23(5):2493. doi: 10.3390/s23052493.
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.
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。