SBIR Phase I: Prediction of impending earthquakes using data from geographically distributed array of sensors for monitoring behavior of companion animals and large scale data anal

这项小企业创新研究（SBIR）第一阶段项目的更广泛影响/商业潜力在于，通过在地震发生前大幅预测即将发生的地震，它有可能挽救世界各地数百万人的生命，并避免他们的困难。每年都会发生几十次破坏性地震。多年来，可靠、及时的地震预测一直是地震研究的圣杯，因为它可以最大限度地减少人员伤亡和经济损失。该项目建议通过不显眼地监测伴侣动物（如猫和狗）的行为变化，并将这些信息与地震传感器和其他来源的数据结合起来，提高地震预测的准确性。该项目的成功完成将为地震预测提供强大的数据分析。这个小企业创新研究（SBIR）第一阶段项目正在解决一个非常具有挑战性的问题，即先进的地震预测，尽管在过去的半个世纪里科学技术取得了重大进步，政府、学术和其他机构也做出了巨大的努力，但迄今为止还没有解决这个问题。该项目的目标是使用专有传感器收集动物行为数据，并结合地震、GPS和其他传感器的数据对动物行为数据进行分析，目的是建立地震发生前动物行为变化与地震发生时间、地点和震级之间的相关性。迄今为止，许多证明这种相关性的尝试都没有定论。然而，这个项目采用了一种不同的方法，通过使用专有的传感器从伴侣动物身上收集客观的科学数据，这种传感器不引人注目，也不影响动物的行为。本项目旨在证明数据在小范围内的相关性，使用在相对较短的时间内从少量动物中收集的数据，这些数据是在一个地震频繁发生的高概率的地震活跃区域进行充分研究和持续监测的。

The broader impact/commercial potential of this Small Business Innovation Research (SBIR) Phase I project is that it may potentially save lives and avoid hardship for millions of people around the world by predicting impending earthquakes significantly in advance of their occurrence. Dozens of destructive earthquakes occur every year. Reliable and timely prediction of earthquake occurrence has been a holy grail of seismic research for many years, since it would offer the possibility of minimizing casualties and economic loss. This project proposes to improve the accuracy of earthquake prediction by unobtrusively monitoring changes in the behavior of companion animals (such as cats and dogs) and combining this information with data from seismic sensors and other sources. Successful completion of the project will allow the development of powerful data analytics for earthquake prediction.This Small Business Innovation Research (SBIR) Phase I project is addressing a very challenging problem of advanced earthquake prediction that has not been solved to date, despite significant advances in science and technology over the past half century and massive international efforts of governmental, academic and other institutions. The objective of this project is to collect animal behavior data using proprietary sensors, and develop analytics for animal behavior data processed in conjunction with data from seismic, GPS and other sensors, with the goal of establishing correlations between changes in animal behavior prior to impending earthquakes and the time of occurrence, location, and magnitude of the earthquakes. Numerous attempts to prove such correlation have been inconclusive to date. This project, however, takes a different approach by using proprietary sensors to collect objective scientific data from companion animals by means of sensors that are unobtrusive and do not affect the animals' behavior. This project aims to demonstrate data relevance on a small scale, using data collected from a small number of animals over a relatively short period of time in a well-studied and continuously monitored seismically active area with high probability of frequent earthquake occurrence.