SBIR Phase I: Scalable Location Data Management

SBIR第一阶段研究项目旨在开发复杂环境下的资产跟踪方法。基于位置的数据方法将被构建为一个中间件平台，利用传统系统的优势来管理简单的字母数字数据。研究将包括开发简单演示应用程序的必要步骤，这些应用程序可用于显示可扩展的查询、更新和基于位置的触发器评估功能。预期的结果是一个系统，它通过强大的基于位置的数据管理功能来增强现有的数据管理应用程序，从而通知关键的业务决策。所提出的方法可以在资产跟踪代表大量资源消耗的应用程序中提高效率。例如，这些方法的商业部署可以防止护士花费数小时寻找丢失的诊断设备，从而提高效率，并最终消除目前单个护理单位每年花费数十万美元的问题。

This SBIR Phase I research project seeks to develop asset tracking methods for complex environments. Location-based data methods will be built as a middleware platform that leverages the strengths of traditional systems for managing simple alphanumeric data. Research will include the necessary steps to develop simple demonstration applications that can be used to show scalable querying, updating, and location based trigger evaluation features.The expected outcome is a system that augments existing data management applications with powerful location-based data management capabilities that informs critical business decisions. The proposed methods could lead to improved efficiencies in applications where asset tracking represents a significant resource drain. For example, commercial deployment of these methods could prevent a nurse from spending hours searching for lost diagnostic equipment, leading to improved efficiencies and eventually eliminating what is now an issue costing individual care units hundreds of thousands of dollars a year.