I-Corps: Internet of Things for Condition-Based Maintenance of Medical Assets

这个I-Corps项目的更广泛的影响/商业潜力是提高安全性和最大限度地减少设备维护成本。在医疗保健中，设备故障是一个主要的患者安全问题，因为直接的患者护理影响，也由于设备维护成本一般。这里开发的技术监测生物医学设备资产的健康状况，目的是实时预测生物医学设备资产故障，以降低设备故障率，从而提高安全性并降低成本。该项目将为医疗保健和军事设施提供一种工具，以更好地管理其资产，消除设备停机时间，降低维护成本并消除意外故障。该项目商业潜力的额外好处来自设备资产的原始设备制造商（OEM）有机会通过该创新提供的基于状态的维护策略来改进其技术。这个I-Corps项目旨在开发一个低成本、高能效、无线、网状网络的微处理器、传感器和软件系列，旨在提供设备状态的实时报告，并提供基于状态的维护计划。仪器创新是不同传感器的组合，用于捕获设备资产上的压力、温度、湿度、位置、电流和振动的周期性数据，以便对资产进行基于状态的维护。该项目将基于物联网（IoT）连接和管理医疗设施或军用物资供应链中的不同资产。该项目将开发一个模板，用于在2.4 GHz工业、科学和医疗（ISM）无线电频段上集成符合IEEE 802.15.4标准的发射但加密的射频（RF）信号的网状射频识别（RFID）。该设备将与云结合使用，其中数据将在无线配置中处理。与此模块的开发相结合的是一个动态数据分析程序，该程序结合了用于维护预测的新型机器学习统计程序。

The broader impact/commercial potential of this I-Corps project is to improve safety and minimize equipment maintenance costs. In healthcare, equipment malfunctions are a major patient safety issue because of direct patient care impact, and also due to equipment maintenance costs in general. The technology developed here monitors the health of biomedical equipment asset with the purpose of predicting, in real-time, biomedical equipment asset failure in order to reduce the rate of equipment failure, thereby, improving safety and reducing costs. This project will equip healthcare and military facilities with a tool to better manage their assets, eradicate equipment downtime, reduce maintenance cost and eliminate unanticipated failures. The added benefit of the commercial potential of this project comes from the opportunity for Original Equipment Manufacturers (OEMs) of equipment assets to improve their technologies with the condition-based maintenance strategy that this innovation offers. This I-Corps project seeks to develop a low-cost, power-efficient, wireless, mesh-networked family of microprocessors, sensors and software designed to give real-time reporting on equipment status and offer condition-based maintenance schedules. The instrumentation innovation is the combination of different sensors to capture periodic data on pressure, temperature, humidity, position, current and vibration on an equipment asset for condition-based maintenance of the asset. This project will be based on the Internet of Things (IoT) in the connection and management of different assets in a healthcare facility or military materiel supply chain. This project will develop a template for the integration of mesh radio frequency identification (RFID) of emitted but encrypted radio frequency (RF) signals in conformance to IEEE 802.15.4 standards over the 2.4 GHz industrial, scientific, and medical (ISM) radio band. The device will be used in conjunction with the cloud where data will be processed in a wireless configuration. Coupled with the development of this module is a dynamic data analytic procedure that incorporates novel machine learning statistical routines for maintenance forecasts.