In addition to the LiDAR Motion Sensor real-time data feed from the 8th floor lobby of the HLDS facility, we've added another sensor to the configuration. The new real-time sensor data comes from a prototype sensor that is being developed by the same LiDAR Hitachi LG Data Systems (HLDS) development team. This sensor is a Particulate Matter sensor, or dust sensor. We thought it would be an interesting combination of sensor data to detect human traffic AND the amount of dust or particles being "kicked up" from this traffic. The lobby is a carpeted area.

In Korea, there is an increasing concern with particulate matter and pollution in the environment coming from their neighboring country. This new sensor allows monitoring of air quality by the detection of particulate matter. There is a Particulate Matter, or PM, standard for defining dust in the air. While the eventual sensor device will be used both indoor and outdoor, today we are deploying the sensor indoor and making the data from this sensor available to everyone to analyze. In the future, we will deploy an outdoor sensor to monitor the air pollution in the city of Seoul.

The PM sensor data uses MQTT to publish its data. The real-time data feed can be accessed at the following MQTT broker and topic.

PLEASE NOTE:

There is a problem with the original broker and we have moved this
data stream to a new broker. Please note the new broker URL below.
Sorry for the inconvenience.

Broker location - tcp://mqtt.iot-hlds.com:1883

Topic - hlds/korea/8thFloor/lobbyDust

The data streamed from this sensor is a json formatted message that has the following definition,

• Event: AirQuality - the event type
• Time: TimeStamp - time of the sample
• PM1_0: Particulate Matter at 1 micrometer and smaller - quantity of sample
• PM2_5: Particulate Matter at 2.5 micrometer and smaller - quantity of sample
• PM10: Particulate Matter at 10 micrometer and smaller - quantity of sample

Here is a screen shot of MQTT Spy inspecting these messages.

What kind of Pentaho transformation, dashboards and analysis can you create with this data? is there a correlation of human traffic through the lobby and the amount of dust detected? We want to see your creations. Please share your work in the comments are below, or write-up your own blog and share it with us. Who knows, there might be something in it for you.