My laboratory is developing an accelerometer. However, if you do not
install the dedicated software, you can not browse the data. In
addition, since it is necessary to go to the site on a semi-annual basis
and collect data due to capacity problems, the current operation is
burdened. In order to solve these problems, we devised WebGL that
enables high-speed drawing when processing a large amount of data such
as Big Data, and a Web application that uses server that can transmit,
save, and download acquired data. In this application, an accelerometer
and a raspberry pie are connected, and the raspberry pie receives data
obtained from the accelerometer and sends the data to a server installed
in a laboratory by SCP file transfer at regular intervals. These data
specify the location and date from the client side through the Internet
browser, download the data using the download function of the browser,
read this data on the application and draw the waveform. The data
obtained from the accelerometer in the development to date is converted
into a CSV file and transferred to the server. These data can be
downloaded and displayed on the web application. For the google map
displayed on the right side of the screen, it is to make the application
more useful by registering the location where the accelerometer was set
in the future.