A POC of a project regarding the monitoring of cars.

1. Car Monitoring
POC
IOT 2019
Leonardo Sarra, Gabriele Cervelli, Giorgio De Magistris

2. The idea
- Obtain car informations using OBD module
interfaced with an Android Application.
- Send the data stream to a third party server.
- Provide useful infographics in a web interface
through the aggregation of the data coming
from multiple cars.

3. On Board Diagnostic (OBD) module
- Allow communication with the car’s system.
- Wide range of informations : fuel, oil,
distance, throttle, brake and error codes…
- Provide a bluetooth interface to interact
with.
- The behavior of the module can be
customized using the bluetooth interface (e.g:
output and timeouts)..

4. The Android application
- Enable the user to configure the OBD module.
- Obtain informations from the car and process
them (filtering process).
- Mix car’s informations and smartphone’s ones
(Location) and send them as a data stream to a
remote server.

5. Sending data: Apache Edgent Library
- Offers a set of APIs to create and process data
streams in edge devices.
- Supports filtering of data.
- Supports lightweight messaging protocols and
external IoT platforms .

6. Aggregate data: IBM Watson IOT Platform
- A remote server that process sensor data instantly
to help identify valuable insights related to device
behavior and operations in the field.
- No concerns about device connection details.

7. Store data: IBM Cloudant NoSQL Database
- Distributed JSON document database.
- Stores seamlessly data coming from Watson
IOT platform in time-based buckets.
- Easy to access data through powerful
visualization frameworks.

8. Elasticsearch and Kibana
- Elasticsearch is both a search and analytics engine and also
allows data storage
- It provides powerful APIs for aggregating and retrieving
huge amounts of data
- Kibana allows to visually represent the results offering a
wide range of visualization tools

9. Example of useful infographics

10. THANKS!