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.

Style and element image inputs help a generative model produce diverse result images beyond fixed character postures.

Activity and location tracking matches users at shared events, improving connection relevance without requiring peer-to-peer coordination.

Different face-authentication thresholds for commuter passes and deposit balances reduce erroneous charging while preserving gate passage efficiency.

A connection engine checks compatibility, consent preferences, and physical boundaries before matching users for safer, more meaningful communication.

See how time-based patent groups and technical-classification concentration reveal changes in an applicant’s development and investment activities.

Portable devices combine personal, physiological, and mission data to replace biased self-reports with objective fatigue assessment.

A multi-parameter assessment combines uranium grade, occurrence, recovery rate, and stripping ratio to avoid wasteful exploration.

Physiological and flight-context data replace subjective crew reports to characterize route-specific fatigue for safer flight planning.

Automated capture and normalization flag inconsistent element numerals and acronyms that conventional grammar checkers miss.

Geozones and time-bar displays reveal vehicle pattern deviations, allowing updates that restore staggered fleet operations.

A training server normalizes flight, weather, and aircraft data to compare instructor performance across different training conditions.

Keyword detection switches chat input modes and replaces matched text with emoticon interfaces for smoother messaging interaction.

RoBERTa, fuzzy matching, and human review help process varied and scanned subpoenas accurately while supporting continuous model deployment.

Obscured profile pictures reveal in stages after matching answers align, helping social matching build trust before full appearance disclosure.

Historical water-leakage records refine burial environment regions, helping predict deterioration more accurately across buried pipe networks.

Historical games are simulated and balanced to create personalized betting scenarios and sports media when live events are unavailable.

AI-generated multilingual alerts and follow-up news are verified with audio fingerprinting before distribution across broadcast and social channels.

Prebuilt route profiles match aircraft and user needs while checking duty cycles and visual flight rules for flexible private aviation scheduling.

Time-limited unlocking information sent to a phone or door lock helps guests avoid reception queues and physical room cards.

Weighted demographic and preference data match families and communities for more trusted social interactions and transactions.

Area-linked users, vehicles, routes, and operation diagrams simplify plan management and reduce automated vehicle assignment errors.

Paper-based estate planning is resource-intensive; task-based tracking verifies conditional bequests and triggers gift transfers automatically.

A hotel-room television channel lets victims send discreet distress signals to a back-end server for timely authority alerts.

Compatible traffic-management devices connect multiple business devices to share space-object information and reduce collision risks across orbital planes.

A registration device links captured digital image works to NFTs and blockchain records, preserving unique ownership and transaction traceability.

A target-avatar extractor and edge-overlay hint image let users sense avatars outside the visual field without obscuring the central view.

AI filters historical wager data and compares live betting patterns with expected distributions to adjust odds and reduce one-sided bets.

Each electronic communication is assessed against geographic and sender/recipient rules, enabling defensible retention or automatic archive deletion.

Automated cell phone positioning replaces slow surveys by combining residence proximity, accompanying behavior, and network clustering to identify family groups.

An AI workflow turns short inventive descriptions into claims and applications, reducing manual drafting time while supporting legal compliance.

Indexed texture assets let AR creators accept user images, track resolution and upload status, and expand personalization without redesigning effects.

A normalized Passenger Engagement Minute metric compares IFE use across airlines, vendors, and aircraft models for content and maintenance planning.

Conditional backup stores chat data in an administrator’s drive as public data, letting participants access shared history while managing storage limits.

A two-stage AI workflow turns an invention summary into claims and a patent application, reducing manual drafting time.

This safety service collects ward location and images, then shares them with guardians or security companies when danger is detected.

A machine learning model detects weed parameters and directs spot or broad herbicide treatments to improve field efficiency.

AI profiles mimic different personas while reducing multiple-account management.

This case embeds user identifications over media content, replacing separate panels with quicker, more engaging sharing.

A determination unit infers objects in undetermined areas from surrounding data, improving traffic digital twin completeness.

AR captures medication images and label text to verify items, speed retrieval, and update inventory after delivery.

A management server links work apparatus positions with travel modes, clarifying worker control during manual and automatic operation.

Confidence scoring and validation synchronize private law firm records with public dockets while preserving review trails.

The method ranks reservoirs using probabilistic reserve distributions to reduce conveying-system assembly, energy use, and resource waste.

Similarity scoring and clustering refine employee skill profiles for education plans and job opportunity recommendations.

Real-time aircraft data and limited-lifetime part information guide engine shutdown or restart decisions during waiting periods.

Periodic wearable check-ins and wireless stations track workers and alert servers when communication stops during transport.

Pretrial video questionnaires streamline juror selection while protecting privacy.

The application integrates aircraft, airport, and weather data to refresh approach procedures and refine route recommendations in real time.

Incident reports trigger tailored agency requests and consolidated responses, reducing manual effort and incomplete evidence retrieval.

This case prioritizes overlapping background and indoor-map POIs to stabilize map interaction and reduce ghost clicks.