从军事行动数据发展数据分析

James Downey, Zachary Ellis, Ethan Nguyen, Charlotte Spencer, Paul F. Evangelista
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引用次数: 0

摘要

每年,位于加利福尼亚州欧文堡的国家训练中心(NTC)都会举办多个旅级轮换单位进行训练演习。NTC的仪器系统(NTC- is)在一个庞大的数据库中以数字方式捕获和存储移动和机动、使用火力和其他战术操作的特征。陆军工程研究与发展中心(ERDC)最近与训练与条令司令部(TRADOC)合作,在关系数据库中提供一些可用于介绍性分析的数据。虽然这些数据有可能暴露能力差距,揭示理论假设背后的真相,并为各级陆军领导人创建一个复杂的反馈平台,但它在很大程度上未被探索和利用。该项目的目的是通过开发一个原型信息系统来证明这些数据的价值,该系统支持轮换后分析、回放功能和可重复的工作流程,以测量和揭示轮换期间的实际操作和后勤行为和性能。陆军建模和分析团体将使用这些产品系统地管理和存档数据库,并使NTC-IS数据的未来分析成为可能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Data Analytics Development from Military Operational Data
Each year, the National Training Center (NTC) located at Fort Irwin, California, hosts multiple Brigade-level rotational units to conduct training exercises. NTC’s Instrumentation Systems (NTC-IS) digitally capture and store characteristics of movement and maneuver, use of fires, and other tactical operations in a vast database. The Army’s Engineer Research and Development Center (ERDC) recently partnered with Training and Doctrine Command (TRADOC) to make some of the data available for introductory analysis within a relational database. While this data has the potential to expose capability gaps, uncover the truth behind doctrinal assumptions, and create a sophisticated feedback platform for Army leaders at all levels, it is largely unexplored and underutilized. The purpose of this project is to demonstrate the value of this data by developing a prototype information system that supports post-rotation analytics, playback capabilities, and repeatable workflows that measure and expose ground-truth operational and logistical behavior and performance during a rotation. The Army modeling and analysis community will use these products to systematically curate and archive the database and enable future analysis of the NTC-IS data.
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