Automate tire maintenance with intelligent condition-based triggers that monitor real-time data to initiate service exactly when needed. Eliminate unnecessary maintenance while preventing failures through precision timing.
Use real-time triggers to detect and prevent tire failures.
Condition based triggers are automated alerts that activate when specific tire conditions deviate from normal parameters, enabling proactive maintenance to prevent failures.
These triggers use real-time data from sensors monitoring parameters like pressure, temperature, tread depth, and vibration to identify potential issues in heavy vehicle tires, allowing for timely interventions.
| Parameter | Threshold | Action Required |
|---|---|---|
| Tire Pressure | <80 PSI | Immediate Inflation |
| Temperature | >180°F | Cool Down & Inspect |
| Tread Depth | <2/32" | Schedule Replacement |
| Vibration | >0.5g RMS | Balance & Align |
| Load Imbalance | >10% variance | Rebalance Load |
Key tools and processes to implement effective condition based triggers for tire health
Step-by-step guide to deploying condition based triggers for tire health
Install sensors on critical components and calibrate them properly.
Define trigger thresholds based on equipment specifications.
Connect sensors to telematics for real-time monitoring.
Validate triggers and refine settings for accuracy.
Fleets using condition based triggers achieve significant reductions in downtime and maintenance costs.
Reduction in unplanned downtime
Decrease in maintenance costs
Increase in equipment lifespan
Accuracy in issue detection
"Condition based triggers reduced our downtime by 65% and extended equipment life by 40%, saving us $400K annually."
Fleet Director, Global Logistics Inc.
Get answers to the most frequently asked questions about implementing condition based triggers
Key parameters include temperature, pressure, vibration, fluid levels, and voltage. Focus on critical components prone to failure. For vibration monitoring, see our guide on vibration thresholds.
Thresholds are set based on manufacturer specifications, historical data, and operating conditions. They are refined using real-time data and predictive algorithms. Learn more in our tire wear prediction guide.
Initial costs include sensors ($100-$500 per unit) and software integration ($5,000-$20,000). ROI is typically achieved within 6-12 months through reduced downtime. Use our ROI calculator for estimates.
Yes, our solution integrates with major telematics platforms via APIs, supporting seamless data flow and compatibility with existing fleet management systems.
Thresholds should be reviewed quarterly or after major maintenance events. Continuous data analysis helps refine thresholds for optimal accuracy. For related analysis, check our guide on oil analysis alarms.
Technicians need 4-6 hours of training on sensor setup and alert interpretation. Managers require 1-2 days for dashboard and analytics training, with ongoing support provided. For advanced setup, refer to our AI setup and training guide.
Explore additional tools and guides for tire health prediction
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Join leading fleets using condition based triggers to eliminate unnecessary maintenance, prevent failures, and maximize tire life through intelligent automation.
Service exactly when needed
Near-zero tire breakdowns
Per vehicle in reduced costs