THE PROBLEM

How do I trace my engine issues to a root cause?

Our users (engine manufacturers) don’t know how to efficiently utilize streaming time series data from connected truck engine sensors to monitor engine issues.

USER GOALS

Overall Engine Performance at a Glance

  • View engine anomalies over time by each engine type.

Diagnosis of Engine Anomalies

  • Quickly see which engine component is broken where anomalies exist.
  • Identify locations where trucks have engine anomalies.
  • Clearly correlate engine anomalies to specific manufacturers and factors such as environmental variables, driving patterns, etc.

Heuristic Analysis of Manufacturer Performance

  • View relationships between engines, manufacturers and factories.
  • Identify key manufacturers and factories related to most engine anomalies.

DATA DISCOVERY

1. Look at the data source.

Engine structure data for each type

Graph of engines, their manufacturers and the factories they are made in

Regional truck engine performance data

Regional weather condition data

2. Slice data to gain insights.

Dominant dimensions

Engine type

Time

Region

Primary entities

Engine anomaly occurrence

Manufacturing batches

Weather condition

DATA VISUALIZATION