In the present research for the first time, an effort has been made to create an online real-time database for geochemical earthquake precursory research. The manually operating real-time database has been improved for earthquake precursory studies by changing the operating system from manual to automatic. We have used an open-source programming languages "R" and python for the data computing. Both are free programming languages software for statistical computing and graphics. To upgrade our working procedure to integrate our data with the popular and famous open source web application solution stack "AMP" (Apache, MySQL, and PHP) has been used. In this real-time database, continuous radon data from our monitoring stations, whereas, seismic and metrological data from Central Weather Bureau have been uploaded. It enables us to see the changes in the radon time series before and after the seismic events. Now, we could analyze the data in better ways before the seismic events using mathematical tools. This system would be very helpful in increasing the efficiency of earthquake prediction studies. It is also useful to have a better understanding of the physical processes involved in the more advanced statistical tools that allow the prognostic of earthquakes by the use of the data from a network of continuous monitoring stations.

在本研究中，首次进行了努力以创建用于地球化学地震前兆研究的在线实时数据库。通过将操作系统从手动更改为自动，对手动操作的实时数据库进行了改进，以进行地震前兆研究。我们已经使用开源编程语言“ R”和python进行数据计算。两者都是用于统计计算和图形的免费编程语言软件。为了升级我们的工作程序，以将我们的数据与流行和著名的开源Web应用程序解决方案堆栈“ AMP”（Apache，MySQL和PHP）集成在一起。在这个实时数据库中，来自我们监测站的连续ra数据，而来自中央气象局的地震和计量数据已被上传。它使我们能够看到地震事件前后the时间序列的变化。现在，我们可以使用数学工具以更好的方式分析地震发生之前的数据。该系统将对提高地震预测研究的效率非常有帮助。更好地了解更高级的统计工具中所涉及的物理过程，这也很有用，这些工​​具可通过使用来自连续监测站网络的数据来预测地震。