Integrated Tyre Pressure and Condition Monitoring System with Predictive Maintenance Al...

Objective: To design, implement, and validate a real-time tyre-pressure and condition monitoring system with predictive alerting for improved vehicle safety and operational efficiency.

Indian motorists, commercial fleet operators, and logistics companies frequently face vehicle downtime, accidents, and operational losses due to undetected tyre failures and improper inflation, which are exacerbated by harsh road conditions and lack of proactive maintenance. Current manual checks and basic TPMS solutions are insufficient for predicting tyre degradation, leading to safety hazards and reduced asset lifespan.

The proposed engineering solution integrates robust sensor networks (pressure, temperature, tread wear), edge processing, and predictive analytics to continuously monitor tyre health in real-time and generate actionable alerts for potential failures or maintenance needs. The system leverages IoT modules for telematics transmission, machine learning models trained on Indian road datasets, and complies with IS 15676 TPMS standards for automotive deployment.

Key deliverables include: a fabricated prototype system mountable on a vehicle, wireless sensor nodes, central microcontroller with predictive analytics, mobile dashboard, and demonstration of live condition monitoring, alerting, and data logging. The working model is bench-tested and road-tested for accuracy, reliability, and user interface validation.

Industry impact: scalable integration for commercial fleets, passenger vehicles, and EVs can substantially reduce accidents, maintenance costs, and environmental waste. The solution enhances preventative maintenance practices, supports future ADAS integrations, and is adaptable for deployment across Indian automotive OEMs and aftermarket service providers.