论文标题
与BI-GRU（AED-ISS）的机板国际空间站自动无防尘的解决方案
Automatic Emergency Dust-Free solution on-board International Space Station with Bi-GRU (AED-ISS)
论文作者
论文摘要
随着对PM2.5或PM0.3问题的关注不断增加，颗粒事务不仅成为对环境和人类的潜在威胁，而且对国际空间站（ISS）工具的生存也造成了损害。我们的团队的目标是将各种颗粒物的浓度与磁场，湿度，加速度，温度，压力和二氧化碳浓度联系起来。我们的目标是建立一个预警系统（EWS），该系统能够预测颗粒物的水平，并为宇航员在某些实验中保护其工具或提高测量的准确性提供了足够的反应时间；此外，可以进一步发展为与火灾相关的应用程序的遥感烟雾报警器的原型。在本文中，我们将实施BI-GRU（双向封闭式复发单元）算法，该算法在过去90分钟内收集数据，并预测接下来的1分钟每0.1升超过2.5微米的颗粒水平，该水平被归类为预警
With a rising attention for the issue of PM2.5 or PM0.3, particulate matters have become not only a potential threat to both the environment and human, but also a harming existence to instruments onboard International Space Station (ISS). Our team is aiming to relate various concentration of particulate matters to magnetic fields, humidity, acceleration, temperature, pressure and CO2 concentration. Our goal is to establish an early warning system (EWS), which is able to forecast the levels of particulate matters and provides ample reaction time for astronauts to protect their instruments in some experiments or increase the accuracy of the measurements; In addition, the constructed model can be further developed into a prototype of a remote-sensing smoke alarm for applications related to fires. In this article, we will implement the Bi-GRU (Bidirectional Gated Recurrent Unit) algorithms that collect data for past 90 minutes and predict the levels of particulates which over 2.5 micrometer per 0.1 liter for the next 1 minute, which is classified as an early warning
