How To Download a KML File With Your Sensor Data - Valarm Tools Cloud

Описание к видео How To Download a KML File With Your Sensor Data - Valarm Tools Cloud

This video shows you how to use Valarm sensor and monitoring solutions for KML visualization in Google Earth. Using the Valarm mobile app you can connect thousands of different sensors to an ordinary Android device. Then Valarm alerts you when you want, e.g., when air quality CO2 levels go above 1500ppm or temperature goes below 34 degrees fahrenheit. All Valarm sensor data is geo-tagged and you can download it from the Valarm Tools Cloud in KML format to see it in 3D as demo'd in this video!

You can get Valarm compatible sensors and hardware at http://shop.valarm.net

Valarm Pro app is available here: https://play.google.com/store/apps/de...

The Valarm Tools Cloud site is at http://tools.valarm.net


Voiceover / transcript:

Hello, this is Edward from Valarm. In this video you''ll see how easy it is to download your geo-tagged, Valarm sensor data as a KML file for use in Google Earth or any other software program.

First, log in to your Valarm Tools Cloud account at http://tools.valarm.net .

Next go to the device manager. Now click the name of the device that has the sensor data you'd like to download. Remember you can use device groups to organize your Valarm devices into specific groups. Change the search dates from and to fields to see which of your geo-tagged sensor data you'll be downloading. Next click Download KML and check the box if you'd like paths drawn between the sensor data points. Choose which sensor you'd like to use for the 3D heights of the data, the base altitude and the altitude multiplier. In this case we're visualizing VOC air quality sensor data gathered from the rooftop of a public transit bus in Los Angeles, California. Last, click the Download button. That's it!

You can open the KML file in any program you'd like such as Google Earth. All of the geo-tagged sensor data for each point is here with latitude and longitude coordinates and all of the associated sensor information, in this case you see data from the air quality VOC sensor.

Now try it yourself with your own mobile sensor data and let us know how it goes! Don't hesitate to contact us at [email protected] if you have any questions, comments, or suggestions for another video.

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