Data Processing Applications TRIZ Cases

Asymmetric turn analysis compares nominal and measured radial acceleration to identify driver phone handling and log evidence.

A security-code portal delivers electronic W2G jackpot forms from mobile player acknowledgement, reducing lost copies and data exposure.

Phase-level FANG gateways use grid-borne DR signals to selectively shed endpoint loads and improve real-time balancing on distribution networks.

Tracking relative speed polarity inversions helps distinguish close following from malicious tailgating and improves road rage detection accuracy.

Variable load control raises hydrogen output during FCV filling and lowers it afterward to cut waste without oversized storage.

Fusing vehicle sensors, behavior prediction, and mobile guidance helps identify the right rider and guide them to the pickup point.

Historical meter data and curtailment plans are used to estimate flexible load commitments, widening demand response participation and DER market access.

Grid-based risk mapping combines leakage sources, ventilation data, and a jet cone model to divide hydrogen areas into accurate warning zones.

Load activation and smart-connector sensing reveal supply network topology with less measurement complexity and higher certainty.

Hierarchical monitoring compares baseline and active power use to detect anomalies, isolate lower-level faults, and reduce false alarms.

Using existing electrical wiring for PLC, this case shows how modular sensor units cut extra cabling while improving grid communication flexibility.

MLPE units rank accumulated operating time across a PV string so the host can map device locations without manual labels or recording.

When manual parking misses the target space, the controller detects the failed state and guides a switch to automated parking for accurate re-parking.

Health, trip, traffic, and weather data are combined to decide vehicle control access and trigger safer ride-share alternatives.

Real-time location and social-graph matching connect vehicle users for local sharing, interactive activities, and privacy-aware travel experiences.

Distributed energy routers coordinate sources, storage, and loads to smooth peak demand, stabilize the grid, and use local generation efficiently.

Electrical node data drives dynamic LOTO planning, reducing manual errors and unnecessary locks in multi-equipment isolation.

A controller combines shifting, shedding, and cycle modulation to avoid simultaneous appliance peaks and keep home power use within limits.

Distance-based external display notifications help passengers identify their assigned autonomous vehicle with clear, legible visual cues.

A behind-the-meter EMS uses solar, battery sizing, and ESS dispatch to shift daytime PV into evening peaks and curb costly demand spikes.

Operator alighting triggers satellite positioning and drone dispatch to monitor unattended working machines and deter theft.

A cloud validation sandbox uses asset models and hardware emulators to test grid firmware combinations without bulky HIL setups.

Distributed sensors, data buses, and local intelligence enable real-time fault correction and better use of unused grid capacity.

Identifies fragile lane chokepoints in autonomous vehicle maps, monitors connectivity, and cuts off critical areas to prevent mass recovery events.

A separate co-processor and isolated verification memory protect transport temperature logs for EN-12830 compliance without extra logger hardware.

Quantitative ground and air risk scoring turns qualitative UAS flight inputs into repeatable preflight decisions and remediation guidance.

Multiple rotating antennas average GPS, UWB, Bluetooth, RFID, sonar, and WiFi signals to improve construction layout accuracy and consistency.

Pre-event and post-event load comparison identifies loads dropped by voltage sags, swells, or interruptions without lengthy diagnostics.

Parallel conductive patterns create lower-resistance current paths in semiconductor layouts, improving operating speed despite added layout complexity.

Sets map-based headlight suppression points in parking areas to reduce landmark recognition interference and surrounding glare.

Emergency 5G/6G links send vehicle sensor data to a supercomputer that selects braking, steering, and acceleration sequences to avoid or minimize crash harm.

Mobile PV arrays on fleet vehicles cut alternator fuel load while a subscriber network tracks generation and allocates renewable energy credits.

Cloud-based AI coordinates facility equipment micro-adjustments in real time to smooth grid demand, cut reserve buffers, and reduce energy waste.

Camera and odor sensing identify harmful cabin contaminants and alert providers before the next shared-vehicle user rides.

Direct communication between semiconductor tools compares state data, visualizes differences, and speeds quality alignment without dedicated systems.

Node-level carbon flow tracing uses power flow data and grid topology to optimize dispatch and cut emissions more precisely than grid averages.

Roadside and onboard assessment checks traffic conditions before permitting vehicle platoons, reducing junction congestion and stop risk.

AMI measurements and convex topology search improve online distribution state estimation despite outdated switch records, sparse data, and noise.

Context-aware monologue messages explain autonomous driving actions to passengers and pickup users, reducing confusion during trips.

AI models fuse vehicle sensor, location, weather, and proximity data to assess security risk when drivers lack local context or leave vehicles unattended.

A cloud platform runs multiple energy management apps concurrently while separating shared and non-shared data to ease integration and control access.

Manifest reconciliation and integrity validation let AVs offload transformed data securely despite limited onboard resources and uneven bandwidth.

A graph neural network predicts actor goals, interactions, and trajectories from state and lane data to improve autonomous motion planning.

Unified API agents track server energy use across vendors, flag underutilized hosts, and guide actions to cut private cloud energy costs.

Filters inaccurate forecast time-steps using CV-RMSE and CUSUM, then replaces them before model training to improve building energy forecasts.

Fusing simulated ocean data with ground truth measurements improves prediction accuracy for carbon sequestration potential.

Segmented negotiation processes select production modules by calculating costs, reducing determination time and improving adaptability.

A skin surface sensor detects furfural concentration in exhaled biogas to assess physiological stress levels without subjective reporting.

A computerized card selection system uses null cards to handle duplicate requests during multiplayer gameplay.

A modified genetic algorithm uses a dynamic fitness threshold to evolve populations and predict game outcomes.

A remaining rights file tracks dynamic digital entitlements while a reservation tool manages decryption key delivery timing.

A multi-layer server arrangement relays activity commands and stores local application data to restore student learning states after link interruptions.

A dynamic format transformation mechanism invokes version-specific triggers to update software application formats without stopping the running system.

A computing system provides condition-specific data collection sequences via user interfaces to facilitate comprehensive workplace risk assessment.

Machine learning models extract question parameters to compute real-time similarity scores for automated student cohort assignment.

A server-client framework replicates application state and persists changes across clients using a client-side library.

A learning method processes mobile telephony data through Voronoi cell partitioning to estimate real-time population density.

Segmenting user data sharing permissions by action type resolves the contradiction between personalization capability and privacy control complexity.

A document analytics system classifies e-discovery files using machine learning and manual feedback loops.

A display mapping table directs content placement within web pages through a generic software routine, reducing recompilation time for layout changes.

An IVR system generates a unique code that customers post on social media to link caller identities with profiles.

Groups search results into clusters based on user context and behavior, resolving irrelevant textual similarity issues.

Separate reservoirs feed water and concentrate into a mixing chamber where a control unit regulates the ratio, eliminating manual dilution errors.

Granular permission management segments access rights to resolve the contradiction between service functionality and personal information security.

Segmented assessment modules identify risk factors and predict success likelihood, mitigating admission process complexity.

A content caching device calculates request priority to store data in short-term or long-term units based on access patterns.

An RFID tag affixed to storage batteries eliminates manual data entry errors by automatically transmitting precise manufacturing information to testers.

A dynamic personalized knowledge graph generation method using prompt learning to adapt educational pathways.

An anchor tree structure identifies renderable augmented reality content based on user equipment location and orientation parameters.

An information processing apparatus generates cyber exercise scenarios by combining program components based on their relationships.

A probabilistic clusterer calculates outlier measures to identify misclassified documents for user review.

Extracting data from inaudible sound frequencies enables augmented reality services in locations where visual features are undetectable.

A farm climate data integration gateway equalizes sensor variables to standard units for remote server transmission.

Image processing algorithms identify individuals and infer relationships to automate social circle creation, reducing time spent on manual grouping.

Group similar files into super files to reduce index size, improving search speed while maintaining coverage.

A legal booking system connects attorneys directly to service providers using standardized skill profiles and user ratings.

Stub files reference read-only snapshots to migrate only changed data, resolving storage overhead while maintaining concurrent access.

A tag suggestion system ranks content tags using member-specific social network data and search results.

A quality defect diagnosis device divides product data into blocks and aggregates operational data for specific defect classifications.

Automated planning calculates precise catheter trajectories to prevent discharge into hollows while ensuring uniform agent diffusion.

Segmented object ownership eliminates complex distributed locking mechanisms, maintaining data consistency during network islanding events.

Automated odds calculation system updates in-game betting prices using real-time data, resolving manual process bottlenecks.

A mobile device scans a QR code to establish a data connection with a server for real-time passenger-driver communication.

A topical activity monitor system processes share counts across social networks to derive a collective interest score.

Preprocessed crime data enables efficient identification of linked criminal entities without exposing sensitive information.

A socially intelligent agent system generates emotional responses using personality traits and state registers to simulate human-like interactions.

A mobile terminal estimates object positions using wireless communication distances and visual inertial odometry data.

Segmenting data into aggregate and raw stores resolves the conflict between query efficiency and ad hoc flexibility while conserving storage space.

A display system visualizes print order steps and delivery dates on a time axis to streamline scheduling workflows.