SBIR Phase I: Proposal for Research into Low-Cost Distributed Wireless Sensing of Operational Condition in Industrial Electric Motors

这份SBIR第一阶段研究提案建议研究开发一种超紧凑、低成本的电机无线监控系统，该系统将使制造商的每台电机的实施成本低于300美元。这项研究将利用现有正在申请专利的能效算法，根据振动和温度数据确定电机状况，以开发能够自主确定其所连接的任何电机状况的无线节点。这项研究将导致在工业合作伙伴处实现无线节点的原型系统，这将为未来对公司和技术的投资提供必要的激励。这项研究的更广泛的影响将是使无线系统能够以制造商每台电机不到300美元的成本促进对工业设施中的电机的基于条件的维护，这大约是当前系统成本的10%。在这个价格点，美国各地的数万家设施将能够承担对其电机系统进行基于状态的维护的初始投资。由于基于状态的维护已被证明能够最大限度地延长正常运行时间并将年度维护成本降至最低，这将提高美国制造业的竞争力，最终有助于创造更多制造业就业机会。此外，作为研究结果产生的原型系统将为低成本、低功率的无线传感器节点提供重要的概念验证，应有助于刺激该领域的未来发展和投资，这反过来又有助于“智能电网”、“智能城市”和其他智能基础设施的发展。

This SBIR Phase I research proposal proposes research to develop an ultra-compact, low costsystem for wirelessly monitoring motors that will cost manufacturers less than $300/ motorto implement. The research will leverage existing patent-pending energy-efficientalgorithms for determining motor condition based on vibration and temperature data to developwireless nodes capable of autonomously determining the condition of any motor to which theyare attached. The research will result in a prototype system of wireless nodes implementedat an industrial partner, which will provide the necessary incentive for future investmentin the company and technology.The broader impact of this research will be to enable a wireless system to facilitatecondition-based maintenance of electric motors in industrial facilities at a cost of lessthan $300 per motor to manufacturers, which is about 10% of the cost of current systems.At this price point, tens of thousands of facilities around the United States will be ableto afford the initial investment to implement condition-based maintenance on their motor systems.Since condition-based maintenance has been shown to maximize up-time and minimize yearly maintenancecosts, this will increase the competitiveness of American manufacturing and ultimatelyhelp create more manufacturing sector jobs. Additionally, the prototype system produced asa result of the research will provide an important proof-of-concept for low-cost, low-powerwireless sensor nodes that should help spur future development and investment in this field,which is in turn instrumental for the development of "smart grids", "smart cities", and otherintelligent infrastructure.