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Internet of Things Baseline Method to improve health sterilization in hospitals: an approach from electronic instrumentation and processing of steam quality

机译:基于医院健康灭菌的东西互联网基线方法:一种从电子仪器处理和蒸汽质量加工的方法

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Sterilization in hospitals is performed due to the need of attacking and killing bacteria that can be dangerous for patients when intervened with medical instrumentation. In that sense, sterilization autoclaves are used, and controlling both temperature and pressure, bacteria are killed. Nonetheless, in some cases the level of humidity in the internal atmosphere is highly relevant to guarantee the success of the process. This variable is controlled by knowing the steam quality, however, it is not monitored online, but sampling is performed a few times a year, so pertinent adjustments are carried out into the boiler when needed. This periodic maintenance does not guarantee that the process is effective. On the other hand, instruments for monitoring steam quality are expensive, and cannot be afforded by many hospitals. As a result, a cheaper determination of steam quality is carried out by using chemical instruments like test tubes, adding critical errors in the measurements. In this paper a cost-effective measuring and processing method by implementing Internet of Things -IoT-techniques is proposed, based on strangulation calorimeter. All the calculations are performed in a Single Board Computer which is connected to an IoT platform for logging data, supervise in pseudo real time and use statistical tools to inference or predict As a result, the IoT node can achieve measurement errors up to 0.25% FS, against 5.6% FS of traditional method. Furthermore, the inclusion of pseudo real time monitoring, allows maintenance staff to fix problems even in a predictive way.
机译:由于需要攻击和杀害患者,在介入医疗仪器时,医院的灭菌是由于攻击和杀伤细菌而进行的。从这种意义上说,使用灭菌高压釜,并控制温度和压力,杀死细菌。尽管如此,在某些情况下,内部大气中的湿度水平与保证该过程的成功非常相关。通过了解蒸汽质量来控制该变量,但是,它没有在线监控,但是每年进行采样几次,因此在需要时将相关调整进入锅炉。这种定期维护不保证该过程是有效的。另一方面,用于监测蒸汽质量的仪器是昂贵的,许多医院无法提供。结果,通过使用像试管等化学仪器进行蒸汽质量的更便宜的确定,在测量中增加了关键误差。在本文中,基于施集量热计提出了一种通过实施事物互联网技术的经济有效的测量和加工方法。所有计算都在单板计算机中执行,该计算机连接到用于记录数据的物联网平台,在伪实时监督并使用统计工具推断或预测结果,因此IOT节点可以实现高达0.25%FS的测量误差,针对5.6%的传统方法FS。此外,包含伪实时监测,允许维护人员以预测的方式解决问题。

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