Predictive analysis using Big data Analytics for Sensors used in Fleet Truck Monitoring System

摘要

The production of large amounts of data has not only been observed in web based companies but has seen entering other domains such as automation and automobile.Smart sensors and smart devices contribute to growing amounts of data that need to be processed. The outcome expected from processing is prediction for better control, clustering for more effective maintenance or improving the overall production. The potential use is to monitor machines or infrastructure such as ventilation equipment, energy meters, truck engines, tires and environmental conditions. This predictive analysis on the data can generate information like intimation for repair or replace these items even before they break; suggestion on driving patterns on various road conditions to both the driver and fleet owner. This project examines the utilization of big data technologies for truck maintenance and performance domain. The approach is based on sensor measurements with the goal of detecting specific events and patterns.