Data Processing Applications TRIZ Cases

Multi-user matching lets an autonomous vehicle switch quickly to another rider request after a decline, cutting idle time and raising fleet utilization.

A multidimensional grid links sensor models, event data, and disaster information to pinpoint accident locations and support real-time monitoring.

A mobile GUI and retrofit circuit enable remote monitoring, bypass activation, and fault isolation in interconnected DC power devices.

Cut count and electrode position data give each wound electrode assembly a traceable ID, improving defect tracking and battery manufacturing reliability.

Looped bus checks and accelerometer tamper sensing help modular power networks monitor demand changes and maintain system integrity.

Telematics data is turned into verified safe-driving badges that third parties can query without exposing raw driver behavior data.

Drive-pattern cues on a terminal cradle distinguish assistive services and improve access for older adults and users with hearing loss.

A master key lets operators switch multiple robo-taxis between operator and autonomous modes at specific locations, improving fleet efficiency.

Route planning lets an autonomous vehicle collect preorder items before rider pickup, keeping them secure and temperature-controlled.

Store surplus household generation, then discharge during higher-price selling periods to cut grid purchases and improve electricity revenue.

Combining PLC and RF signal readings lets an electricity meter detect hot sockets more reliably and distinguish local faults from remote arcing.

Distance-based visual notifications help riders identify an autonomous vehicle early, then show added details as they approach.

Personalized sensor-based driving risks are mapped onto vehicle areas with color-coded priorities, making risk warnings easier to understand.

Odor sensor data lets fleet managers screen shared vehicles before dispatch, preserving user satisfaction without sacrificing operation rates.

An online energy storage algorithm cuts peak-demand charges despite volatile load and renewable output by choosing the best competitive discharge strategy.

Separate autonomous vehicles carry passengers and baggage under one interface, cutting shipping cost while simplifying trip coordination.

A hailed vehicle becomes a parcel handoff point, improving delivery convenience and privacy while supporting in-ride service notifications.

Infrastructure-side monitoring uses essential vehicle state updates to track AVP parking journeys with lower bandwidth and reliable safety checks.

Uses user re-boarding schedules to assign charging or maintenance during vehicle idle time, improving utilization without losing continuity.

By flattening non-renewable load across time and re-adding renewable input, this case cuts peak demand and improves grid energy use.

QR codes, Bluetooth, app prompts, and facial recognition help riders identify or re-pair with the right autonomous vehicle, cutting delays.

Dynamic clustering of electrical installations forms virtual power plants that improve cross-zone ancillary services and grid controllability.

Sensor checks on location, object clearance, gas concentration, and wind conditions gate fuel valve opening to reduce fire risk during mobile refueling.

Blockchain-linked dismantling records capture panel identity and recycling results to improve traceable, credible solar panel disposal.

Automatic reject-mark detection and selective battery removal cut manual sorting time, energy use, and manufacturing cost.

A modular microgrid error framework uses threshold-based attribute checks and coded signals to separate transient faults and process multiple errors.

Dynamic set points let a local controller coordinate mixed power assets for grid services while expanding site power and revenue capability.

Operational and heater data feed a digital gas-line model that predicts cold spots and clogging in semiconductor delivery and exhaust lines.

Parking location is selected from airport terminal lots using illuminance, weather, and battery charge to improve AVDS safety and parking efficiency.

Correlated waveform data pinpoints a power distribution inspection zone, then UAV imagery helps identify the fault cause and needed repair resources.

Location-specific pest data switches vehicle sound or lighting repellents by driving state to deter pests while limiting noise in sensitive areas.

Travel-distance-based trial limits let in-vehicle apps stay fully usable during idle periods, then restrict execution after a mileage threshold.

Decision-dependent chance constraints guide generator, storage, and switching plans to keep distribution grids resilient during renewable uncertainty and outages.

Time-stamped camera and GPS data help forestry operators track logs, terrain, and road tracks in poor light and changing weather.

Sensor-detected AV alert conditions trigger automatic calls that connect passengers to responders for faster incident handling and safer rides.

ML-transformed sensor data helps an onboard assistant detect collisions, emergencies, or law enforcement events and contact the operator quickly.

ML-transformed vehicle sensor data detects collisions, emergencies, or law enforcement events and triggers timely operator-guided rider support.

When target arrival exceeds a threshold, the vehicle leaves the connection point for parking to cut idle time without losing pickup flexibility.

Pre-acquiring settings for multiple recognized users cuts activation delay when vehicle occupant recognition is slow or unreliable.

Real-time fleet map updates and vehicle status selection help autonomous terminal tractors cut downtime and keep route planning current.

Local storage of driver personalization settings avoids server delays, enabling fast vehicle instrument setup even in poor connectivity.

Unused connected car functions are detected from usage data, then guided or auto-activated at the right time to raise service adoption.

Visual or audible vehicle notifications show that autonomous parking transport is authorized, reducing surprise and suspicion nearby.

Battery and driving data are linked to simulation and energy management services to improve EV efficiency and battery lifespan prediction.

Coordinated transmission and distribution planning uses load accommodation capacity to avoid isolated renewal decisions and excess facility investment.

When upcoming road sections fail autonomous driving conditions, the vehicle moves into a parking waiting area and resumes once conditions improve.

A central control unit balances distributed generation and consumption in real time to stabilize grids with renewable and decentralized energy.

Read-restriction antennas confine RFID reads to each betting area, preventing adjacent chip misreads and keeping token records accurate.