IoT in the Transportation Industry

Contributed Talk | Day 2 | 10:25 am | 40 Minute Duration | Grand Gallery D
  • James Mentele
    Predictive Fleet Technologies Applications Architect

IoT in the Transportation Industry

Contributed Talk | Day 2 | 10:25 am | 40 Minute Duration | Grand Gallery D

The vehicles of the transportation industry are operated by many computers. Each senses the requested action of the operator/driver, outputs to appropriate actuators, and logs the action. To make the appropriate response to the driver’s request, it takes readings from many sensors as input to the process control algorithm. The goal of those controllers are to keep the engine running as smoothly as possible. In order to monitor and assure compliance with emissions and fuel economy standards, the government has enforced a set of standards for extracting most of the data. Over time, more computers are controlling more of the vehicle’s activities: transmission, brakes, air conditioning, driver breaks, etc. With telematics, the location, speed, and bearing can be constantly monitored.

As components of the Internet of Things (IoT), this data can be combined with other data to enable performance analytics and how the performance is affected by weather, road conditions, and operational duty (workload) as well as maintenance activity and driver behavior.

Predictive Fleet Technologies has developed techniques to also collect data from the pressure pulses in the exhaust and crankcase and analyze those data to compare the condition of each cylinder while the engine is running. We call this Engine Polygraph. This gives information on the integrity of the ‘physical’ components and evidence for wear, corrosion, and carbon accumulation.

PFT also developed an internet solution (Engine Angel) to capture these data, harmonize and synchronize them to calibrate deterioration models for components. The deterioration rates can then be combined with forecasted vehicle/trailer usage to predict end-of-life (EoL) for those components. These EoL dates can then be used for PM and repair scheduling, risk analysis, and parts inventory procurement.

This talk outlines the data flows, transformations, and algorithms to produce the human interface to help HR (driver trainers), mechanics, shop schedulers, procurement and company policy managers improve decision making.