IMCSummit 2015 - Day 2 IT Business Track - Connected Cars: Driving Us to a Better Us - In Real Time
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The advent of motor vehicles ushered in a new wave of productivity for humankind. It created economics of scale never seen or known before. Unfortunately, it also silently started to hurt the very environment that we live in. Increasing carbon emissions around the world have created irrecoverable damage on Mother Earth. New inventions like the electric cars are slowly but steadily helping stop and in some cases, reverse the damage being done - but still a lot more needs to be done. The change should begin with us, the drivers. We have to change and optimize the way we drive, lower the number of miles driven on a daily basis and adopt technologies to develop efficient least travel patterns, improve gas mileage, and predict breakdowns. The connected cars of today can help us achieve these goals – in real time. Big Data technologies, such as Spark streaming, can ingest various types of data in real time and churn them into information that can be used by individuals and businesses alike. This presentation will showcase with a live demo of how today’s connected cards are driving humankind towards greener pastures, by changing us in human real time.
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IMCSummit 2015 - Day 2 IT Business Track - Connected Cars: Driving Us to a Better Us - In Real Time
- 1. GROW WITH BIG DATA Third Eye Consulting Services & Solutions LLC.
- 2. Connected Cars – Driving Us to a Better Us - In Real Time
- 3. What is a Connected Car?
- 4. “A connected car is a car that is equipped with Internet access, and usually also with a wireless local area network. This allows the car to share internet access to other devices both inside as outside the vehicle.” https://en.wikipedia.org/wiki/Connected_car To that, we may add: ...Connected to a Cloud based system with the ability to display data and notifications for the driver... Connected Car - Definition
- 5. Connected cars draw on the leading technologies in: ● Sensors ● Displays ● On-board and off-board Computing ● In-vehicle Operating Systems ● In-vehicle Data Communication Devices ● Embedded Wireless Systems ● Big Data Analytics & Machine Learning ● Speech Recognition ● Content Management. Connected Cars - Are Smarter
- 6. Challenges the traditional automotive business model. Rather than focusing only on the sale and maintenance of a vehicle: ● Car companies can now focus on the sum of business opportunities the automobile represents. ● Insurance companies can offer better premiums based on driving habits. ● Lower total cost of ownership of cars with preventive maintenance. Many More to Come.. Connected Cars - Business Models
- 7. Most important aspect of all! ● Safe Road Crossings ● Predictive Maintenance - fewer unexpected breakdowns ● Self-Driven Cars Many More to Come.. Connected Cars - Saves Human Lives
- 9. Heard about IoT? (Internet of Things)
- 10. How It Works Big Data Processing 1. Batch 2. Real Time 3. Predictive Big Data Analytics in the Cloud Visualization 1. Dashboards 2. Charts 3. Graphs Business Users Third Eye has developed a solution for Internet of Things (IoT) named Eyera - which is used for “Connected Cars” Use Case.
- 11. ■ Leverages Apache Spark based technologies to harness big data & derive insights on: ■ Driving Patterns, ■ Usage Behavior ■ Vehicle Health. ■ Provides best safety and service experiences to car drivers. ■ Tracks OBDII data from cars real-time and analyzes them in along with other data sets. EYERA - for Connected Cars
- 12. Other Data Sets (arriving in Batches) HDFS (S3) SparkSQL Spark BI Tools - Tableau - D3 - DOMO Adhoc Access Data Source Ingest Analyze Process Visualize Car Data (arriving in Real Time) Apache Spark Streaming Data Flow SparkML Machine Learning Predict
- 13. Work Flow Step 1 Cars send vehicle signals and diagnostic data at certain time intervals to Apache Kafka.
- 14. Work Flow Step 2 Apache Spark Streaming Analytics: 1. Ingests data from the Kafka queues. 2. Performs a join with the reference data to map the vehicle VIN to the corresponding model 3. Spools them into storage for rich batch analytics.
- 15. Work Flow Step 3 1. Spark partitions raw semi-structured vehicle signals and diagnostic dataset into a year/month format for efficient querying. 2. Stores them in HDFS storage.
- 16. Step 4 Machine learning algorithms based on SparkML develops patterns & insights from data stored in HDFS. Work Flow
- 17. Work Flow Step 5 The results of the batch processing are published to the HDFS for consumption by any visualization tool.
- 18. Work Flow Step 6 Desktop application uses Power BI Rest API to publish the data to Power BI Dashboards. Any other visualization tool can also be used.
- 20. Power BI Dashboard Displays number of cars which transmitted vehicle signals and diagnostic datasets. Displays comparison of count of cars by city. Visualizes the density of number of cars by city.
- 21. Power BI Dashboard Displays average fuel consumed by car. Displays average tire pressure required by car. Displays average engine oil consumed by car. These charts are used to visualize vehicle health statistics
- 22. Power BI Dashboard Visualizes the comparison of following vehicle health parameters by city: 1. Average Engine Oil Consumption 2. Average Fuel Consumption 3. Average Tire Pressure
- 23. Power BI Dashboard Displays number of cars which exhibited aggressive driving pattern Distribution of aggressive cars by model helps to judge which car models show aggressive behaviour by driver. Compares which year cars exhibited more aggressive behaviour Visualize aggressive behavior of cars. “Cars which are in greater than third gear position, speed is greater than 60 mph and brakes frequently”
- 24. Power BI Dashboard Visualize fuel efficient behavior of cars. “Cars which are in greater than third gear position, speed is less than 60 mph, does not accelerate much and don’t brake frequently”
- 25. ■ Derives insights: ● Performing Predictive Maintenance ● Providing Proactive Alerting ■ Improves the vehicle owner’s experience ■ Lowers the cost of operating vehicles - by providing insights on driving habits and fuel efficient driving behaviors. ■ Businesses can learn proactively about customers and their driving patterns - Which can help make business decisions to provide the best in class products & services. Business Value
- 26. Contact: Dj Das Founder & CEO djdas@thirdeyecss.com 408-431-1487 Phone - (408) 462-5257 Corporate Site - ThirdEyeCSS.com Big Data Training - ThirdEyeClasses.com Big Data Educational Seminars - BigDataCloud.com, BigDataCloudToday.com, meetup.com/BigDataCloud Big Data ETL Tool - Syra.io