Data Processing Applications TRIZ Cases

Geospatial scores and provider locations dynamically allocate proportional premiums and improve transportation matching.

Chatbot messages bring keyword-linked content into ongoing conversations, using locally adapted formats for text, images, videos, and links.

When services share location data, the system verifies the user's current position before reusing a registered location or acquiring a new one.

Schedule conflicts between inmates marked to remain apart are detected electronically, then corrected with updated activities and officer alerts.

Construction vehicles generate local 3D data from images and location, while a server merges updates into a global site model.

Machine learning links each user's goal to changing activity indicators, then delivers targeted improvement advice from similar-user practice data.

Neural networks combine dementia level with environmental, excretion, sleep, and sensor data to guide caregiver assistance.

Mode-based sensor sharing helps dispatchers access the right user data while emergency event codes limit privacy exposure.

Combining full-state reinforcement learning with partial-state imitation learning reduces data demands for nitrogen and irrigation decisions in real farms.

Variable treatment durations and cancellations complicate care scheduling; EHR data and AI match patient needs with providers and facility resources.

Image capture and sales-history prediction estimate cooking quantities by time slot while accounting for product discard times.

Trusted source scores drive automated probabilities and odds for live sporting-event bets, expanding timely in-game wagering options.

Cloud services mediate blockchain, smart-contract, and payment workflows so users can generate and transfer NFTs without handling the underlying complexity.

Segmented messaging matches content to user interaction stages, preserving customer reach while limiting unnecessary promotional traffic.

Identity checks and agent social networks enable direct autonomous-driving data exchange, reducing cloud dependence and response delays.

Machine learning assesses security posture, flags deviations from target standards, and recommends iterative hardening actions.

Screen captures verify when a service landing image appears, replacing browser timing signals with user-perceived loading data.

GPS mismatches and limited probe coverage are addressed by combining dead reckoning with GPS map matching for reliable route traffic data.

A generated structure configuration maps feature prompts to codebase-specific components, reducing manual review while enforcing company standards.

General gardening guidance misses yard conditions; image recognition and local climate data enable viability scores and augmented-reality views.

Sensors generate event blocks and queue cycles to correlate evidence artifacts, replacing error-prone manual logistics tracking.

Environmental data and IoT sensing estimate electrochemical corrosion and thickness, enabling targeted protection of smart gas pipelines.

Manual variation and cellular fluctuations complicate cell quality standards; simulation evaluates culture parameters and revises manufacturing criteria.

A reconfiguration engine uses machine libraries and IIoT gateways to add contextual real-time data to legacy manufacturing equipment.

Interactive AR widgets overlay machine models and inspection information, improving equipment inspection without losing detail.

Calculate minimum concentration and dose rate from pest forecasts, field conditions, wind, temperature, and topography for consistent crop coverage.

An attached motion detector combines movement and proximity sensing to verify harness use and lifeline attachment in real time.

Approval planning combines wind, solar, land, infrastructure, equipment, and regulatory data to cut costs for smaller distributed power projects.

Geometric zone patterns accumulate prize symbols, then trigger selective credit multipliers within a nested feature game on an electronic gaming machine.

Speech, video, and context are scored during live conversations to reduce delayed subjective feedback with immediate interviewer coaching.

Dynamic betting windows and smart contracts support fair real-time wagering while analytics and fraud reporting help address match fixing.

During lecture playback, continuous face authentication verifies attendance without repeated manual checks and marks learning incomplete after persistent failures.

An impending-death state gives players time to complete a target operation, restore character health, and avoid passive respawn waiting.

AI-generated quizzes, raffles, live streams, and voting turn passive sports fan platforms into a unified interactive mobile experience.

Historical transaction data ranks buyer’s agents by sale speed and price reduction before a spinner makes an impartial choice.

Sporting event outcomes trigger progressive award increments without player wagers, helping engage players who see low award values.

A central server integrates L1-L5 data to generate and notify on-site policies, overcoming isolated layer management in manufacturing.

Live sports video pauses when wager requirements are unmet, using playback feedback to balance spectator engagement with gaming revenue.

GPS and cellular tracking triggers geofence notifications as refuse vehicles approach, while access controls secure waste containment areas.

IoT sensors and AI models classify abnormal safety-zone events as caution or emergency, enabling tailored countermeasures and faster response.

Modular trust scoring combines verification, network, ratings, location, and transaction data to find entities by trust level and geography.

High-risk time-space data filters multi-location video analysis, directing surveillance resources to relevant regions and time slots.

Operation histories seed editable blocks that combine appliance functions and human actions, simplifying control-content creation.

An intermediary validates transfer limits before moving external-account funds to gaming devices, reducing cash handling, errors, and compliance risk.

Real-time route data adjusts train tracking intervals in overlapping and non-overlapping regions, reducing manual calculation work.

Statistical correlation of biological datasets identifies cross-disciplinary collaborators while exposing only necessary features instead of raw sensitive data.

Answer correctness alone can miss weak understanding; operation history and response time support targeted advice for correctly answered questions.

Independent data accumulation across organizational layers limits policy execution; unified analysis generates local guidance from top-level policy.

Operation history, answer changes, and response duration help estimate understanding even when answers are correct, enabling tailored advice.

A translation member and wedge adjust implant height and angle to restore spinal curvature while supporting passage through narrow access pathways.