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

I-Corps：用于医疗资产状态维护的物联网

• 批准号: 1740802
• 负责人: Ekundayo Shittu
• 金额: $ 5万
• 依托单位: George Washington University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2017
• 资助国家: 美国
• 起止时间: 2017-06-01 至 2019-03-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1740802&HistoricalAwards=false
• 关键词: Corps; Internet; Things; Condition; Based

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.

该I-Corps项目的更广泛的影响/商业潜力是提高安全性并最大程度地降低设备维护成本。在医疗保健中，由于直接患者护理的影响，设备故障是一个主要的患者安全问题，而且由于设备维护成本总体而言。这里开发的技术监视生物医学设备资产的健康，目的是实时预测生物医学设备资产失败，以降低设备故障的速度，从而提高安全性和降低成本。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，消除设备的停机时间，降低维护成本并消除意外的故障。该项目的商业潜力的额外好处来自设备资产的原始设备制造商（OEM）通过该创新提供的基于条件的维护策略来改善其技术的机会。这个I-Corps项目旨在开发低成本，动力，无线，网状网络的微处理器，传感器和软件系列，旨在提供有关设备状态和提供基于条件的维护时间表的实时报告。仪器创新是不同传感器的组合，以捕获有关设备资产的压力，温度，湿度，位置，当前和振动的周期性数据，用于基于条件的资产维护。该项目将基于物联网（IoT）在医疗机构或军事物资供应链中不同资产的连接和管理方面的基础。该项目将开发一个模板，用于集成符合IEEE 802.15.4标准的2.4 GHz工业，科学和医疗（ISM）无线电频段的IEEE 802.15.4标准标准的网格射频识别（RFID）。该设备将与云一起使用，其中将以无线配置处理数据。结合该模块的开发是一种动态数据分析程序，该过程结合了新型的机器学习统计程序以进行维护预测。