Tyre Measurements TRIZ Cases

Pressure and temperature logs are analyzed to automate tire casing retread decisions and reduce reliance on subjective inspection.

Processing circuitry uses trailer connection status and load to authorize pre-departure inflation, cutting downtime without driver intervention.

A trained RSSI classifier detects tire position changes during driving and updates configuration automatically without ABS sensors or manual setup.

Pressure-loss rate tracking flags tire impairment before threshold alarms, helping prevent low-pressure driving and tire wear.

A conductive mesh around the wheel blocks outside RF noise, enabling accurate tire sensor and RFID tag pairing in busy fitting centers.

Footprint centerline length is used to infer pressure adjustments that account for load and wear, reducing friction and uneven tread wear.

A thermal model links tire pressure and temperature sensing to real-time rolling resistance estimation during transient driving conditions.

Bluetooth links the tire pressure sensor and host terminal for bidirectional firmware updates without multiple LF coils, cutting cost and interference.

Duplex control adjusts TPMS signal power, sensitivity, and update rate by wheel distance to cut uneven battery drain and extend sensor life.

An embedded RF and pressure-sensing layout removes separate tire ID tags and internal cavities, simplifying manufacturing and recycling.

Detects unauthorized tire monitor interactions, logs key events locally, and sends wireless alerts for timely maintenance without avionics integration.

Vehicle data and neural-network wear modeling estimate remaining tire mileage without tread sensors, improving durability and prediction accuracy.

Detects unauthorized tire monitor interactions, stores event logs, and wirelessly alerts remote maintenance without avionics integration.

Footprint length sensing identifies tire position from load distribution during static or cruising states, avoiding complex RF localization.

A movable control element switches shaft seals from contact-free idle to pressure-tight operation, cutting wear in compact rotary pressure feeds.

Sequential low-frequency exciter signals and high-frequency sensor feedback improve TPMS tire-to-sensor matching, including spare tires.

Balances regenerative braking and axial torque against tyre wear limits to preserve friction and cut particulate emissions.

Ultra-narrowband tire modules send pressure data only at parking stations, cutting transmission cost and energy use while keeping fleet data available.

Tracks tire IDs, wheel-position changes, and replacements to correct wear prediction and keep maintenance planning accurate.

Load-based pressure curves let the control unit adapt TPMS warning thresholds to axle load, reducing false alerts without repeated approvals.

Load-based pressure curves let the tyre sensor set warning thresholds by axle load, reducing false alerts, wear, and fuel use.

Excess regenerative braking energy is routed through conductive tire paths and a tread ground path to power in-tire electronics without bulky batteries.

Real-time tire pressure input lets a semi-active suspension adjust damping characteristics for changing terrain, handling, comfort, and safety.

Voltage peaks from in-tire triboelectric generators enable accurate wear and ground contact estimation even when low-speed signals are noisy.

Piezoelectric fillers embedded in tire rubber convert stress into signals to track wear and pinpoint impact locations for timely maintenance.

Link diagram scanning moves vehicle data entry off small handheld screens, reducing protocol selection errors and speeding tire sensor programming.

Historic flight data and tyre information feed a machine learning model to predict residual landings and prevent unexpected aircraft tyre removal.

Using lateral acceleration and tire position correction, this case estimates twin-tire tread depth from existing vehicle data without added sensors.

Multiple BLE anchors locate tire pressure sensors by signal strength, restoring accurate wheel pairing without manual re-pairing after wheel damage.

Bluetooth-triggered acceleration measurements let the central unit assign TPMS sensors to wheel positions faster and more reliably.

Residual tread depth data is fused with telematics and outlier filtering to improve tire wear estimates for fleets with lifted axles and tire changes.

By comparing relative tire temperatures and pressure-loss trends over time, this case shows how TPMS can flag blowout risk early.

By tracking self-inflation activity instead of pressure alone, the tire can distinguish routine air loss from slow leaks and issue defect-specific alerts.

Multiple yaw, pitch, and roll pivots help the track conform to uneven ground, reducing soil compaction, wear, and traction loss.

Driving-state histograms and model parameters estimate tire wear accurately without in-tire sensors, lowering cost and adaptation effort.

Embedded tire sensors provide fallback load estimation and wheel slip detection when the primary control sensor system fails.

Visual and audible signals let aircraft tire pressure monitors confirm wheel location and security codes without trusted intermediate devices.

Captures parking and other low-speed tire movements to improve wear value accuracy beyond rotation-only measurement.

Movable idler assemblies and adjustable camber help tracked vehicles spread ground load more evenly, reducing wear and soil compaction.

Automatic valve and ECU control adjusts tire pressure through shared air lines with suspension devices to improve stability and fuel efficiency.

Laser sensors in each wheel well automatically measure tire tread depth and trigger a dashboard warning when wear drops below a safe limit.

Localized inner-wall protrusions and recesses cut insertion friction while improving tire sensor retention and housing durability.

Conductive paths in the tire route regenerative braking energy from the wheel to onboard electronics, reducing battery size, weight, and waste.

Local analog neural processing at tire sensors cuts wireless raw-data transfer, reducing power use and bandwidth while preserving vehicle condition monitoring.

Direct sensors monitor twin tires while wheel-speed data estimates single-tire pressure, cutting sensor count without losing axle-specific accuracy.

A valve stem protrusion contacts the wheel rim to stop TPMS transmitter rotation, enforce mounting direction, and reduce bias-related failure.

Millimeter-wave ISAR sensing measures tire tread wear and detects foreign objects accurately despite debris, avoiding embedded sensor cost.

A trained ML classifier filters erroneous tire pressure readings from time-series data, improving fleet TPMS accuracy while reducing bandwidth.

Wheel speed, radius, and spectrum analysis separate preliminary from severe tire deflation alerts for safer driver response.