Data Processing Applications TRIZ Cases

Manifest reconciliation lets autonomous vehicles offload transformed data under bandwidth limits while verifying integrity before local erasure.

Road signal timing is split into distance zones to guide deceleration, acceleration, and coasting, cutting fuel-wasting speed changes and safety risk.

A weighted KPI combines travel time, energy use, and emissions data to compare human and automated driving behavior under real conditions.

Distributed functional modules and brokers process battery data faster, cache operations, and handle failures with lower cost and maintenance.

Mobile locking lockers bring secure package pickup to verified recipients, reducing fixed hub complexity and recipient travel time.

Using utility rate, load, and generator performance data, the controller sets when generator power should supplement grid power to cut energy costs.

Integrated VCM controllers validate drive, steering, suspension, and braking subsystems after installation to cut downtime and simplify service.

When remote sites lack bandwidth or power, autonomous vehicles are dispatched to deliver resources needed for communication and equipment service.

Threshold-based smart meter control limits excessive electricity use, restores service after brief shutoffs, and preserves essential usage.

Usage thresholds let utilities cycle power at restricted sites, preserving essential electricity while limiting excessive consumption.

Calculates verifiable renewable-energy parts output from process-unit energy ratios and material inputs without strict apparatus-item mapping.

A controller reconciles base meter and source output data to estimate each supply's reverse feed more accurately for grid stabilization.

Voltage time-series clustering identifies power grid phase connections more accurately from limited data, reducing manual verification and improving control.

Emergency sensor data is sent over 5G/6G to a supercomputer that selects evasive vehicle actions fast enough to avoid or minimize collisions.

Behind-the-meter datacenter loads are arranged to ramp power use with market and station conditions, reducing renewable curtailment losses.

Balances chilled water and utility flows across subplants to cut production cost and peak demand charges under real-time pricing.

Sensors on harvesters and forwarders compare log pile attributes to keep tracking reliable even when snow or plants obscure the logs.

RFID-tagged casino tokens combine location and holder records to detect unauthorized possession, excess holdings, and fraud in real time.

A two-stage state estimation approach finds minimal measurement unit placement for accurate voltage profiles and line congestion detection.

A smart HEU-HPU control scheme splits energy storage and power delivery to improve efficiency, specific power, and battery life.

Distributed air conditioning modules in charge-discharge devices cool battery test rooms while reducing central AC load and overload risk.

Simple forward, turn, and U-turn inputs let riders change autonomous vehicle routes intuitively while supporting gadget-free check-in.

By holding the reference value during command crossings, this control approach eases resource burden and smooths supply-demand adjustment.

Captured-image diagnosis is broken into adaptive procedure screens, helping users answer accurately and resolve problems at their own comprehension level.

Homomorphic encryption lets external processors forecast user load from encrypted history, preserving privacy while supporting grid control.

Sensors track device count and power use to flag idle test computers, helping teams cut wasted electricity in testing environments.

A trigger-value model predicts when an autonomous vehicle should start remote pick-up, cutting user wait time and mistimed arrivals.

A portable breathalyzer sends substance levels and compressed user ID data wirelessly for immediate remote sobriety checks and supervisor alerts.

A controller uses utility rates, load history, and generator performance data to switch power sources at cost-effective set points.

AI analyzes camera and sensor biometrics from approaching passengers to score risk and alert drivers before pickup.

Camera-based monitoring adapts alerts, reporting, and safe-state intervention to the driver's licensing level and detected road or cabin risks.

Dynamic load control raises hydrogen output for filling demand and lowers it afterward to cut waste while maintaining tank supply reliability.

A projected hailing area lets an autonomous vehicle distinguish requesting riders from nearby pedestrians and provide clear acknowledgment.

Coordinated mobile and in-vehicle interfaces track ride state to cut user interaction and prevent miscommunication during autonomous trips.

User-designated drop-off data, GPS, imaging, and 2D codes help an autonomous delivery vehicle verify unattended package placement or return it.

Dynamic set-point control lets mixed local generation and storage assets meet grid service objectives while transferring power across the site and grid.

Sensors track gondola fill level, tilt, temperature, and location to prevent imbalance, reduce manual checks, and protect harvested produce.

Passenger-guided local assistance helps an immobilized autonomous rideshare vehicle recover faster while limiting unsafe or malicious input.

Trial calculations with daily inflow, water level, and load constraints define hydropower peak regulation capacity for renewable grid balancing.

Integrated energy management data links battery diagnostics, lifespan analysis, and driving simulation to improve EV efficiency and battery life.

An FPGA with parallel ADCs captures outlet voltage signatures synchronously, enabling non-invasive energy monitoring without panel installation.

Pre-set stop positions and target vehicle spacing help valet parking vehicles avoid repeated braking and acceleration during follow-up travel.

Calendar events trigger autonomous ride requests with automatic timing and location selection, removing trip planning and user input.

Transportation mode detection limits safety alerts to pedestrians near checkpoints, reducing passenger annoyance and preserving engagement.

Predicted usage and battery charge drive simple priority-based load switching and storage control to cut costs and emissions.

A nested basic-and-extended data model unifies OPC UA, REST, MODBUS, and DNP site data while reducing storage load and delays.

Tri-level control of DG energy storage and hardened lines balances resilience cost, load shedding, and post-disaster recovery in distribution networks.

Cloud-based alignment of SCADA estimates and PMU phasors enables near real-time power network state updates during topology changes.

A rapid charging battery stores high-current input, then delivers lower-current power to cut phone charging time without degrading battery life.

A collaborative recollection engine uses supplemental cues and granular permissions to adapt memory presentation for each relationship.

The Universe Internet coordinates distant atom manipulators, addressing signal delay in universal time-state restoration.

A dedicated chatroom space cumulatively displays queries and answers, improving context-aware search and information sharing.

A personalized website centralizes event services, permissions, and communication while improving privacy for attendees.

Ground-engaging sensors map field contours for proactive control, reducing clod-related noise and improving planting depth consistency.

Signals from unmanned vehicles establish a preliminary location, while static sensors verify the event and trigger precise alerts.

Timestamp analytics build a color-coded digital twin that quantifies shifting line bottlenecks and supports faster operational responses.

An unmanned vehicle senses forest objects, assigns identities, and marks them to reduce preparation time and preserve sensitive locations.

An LLM checks technical plans against legal and technical constraints, producing corrective actions without repeated specialist reviews.

Precomputed assessment data and competency profiles support objective role matching while reducing repeated evaluation time.

This case uses predefined geofences and periodic location updates to queue drivers and manage service areas with lower energy use.

When a viewing condition is met, the streaming server enables synchronized inputs for a more connected shared viewing experience.

Employment histories and benchmark companies turn social media signals into predictive corporate performance scores.

The network system invites multiple geo-ranked providers at once, then selects an accepting provider to reduce repeated delays.

This case combines bot models, follower graphs, and posting patterns to detect coordinated automated accounts with greater precision.

The case uses terminal-state notifications and automatic replacement to avoid unresponsive calls and explain non-responsiveness.

The network evaluates provider progression after matching, then sends targeted notifications or reassigns jobs to reduce cancellations.

This case automates underground utility mapping, 811 ticket management, and AI-based dig-in risk prediction for safer field work.

Automated server adjusts system properties via entity risk profiles, resolving the trade-off between assessment accuracy and operational complexity.

An assisted profiling interface updates employee skills profiles based on active project roles and status changes.

A service advisory system compares specific error codes against an independent message library update to provide detailed user messages.

Automated system compares molecular data to select umbilical cord blood preparations, reducing manual selection errors and processing time.

Automated validation compares captured sensor data against pre-stored references to eliminate manual entry errors and fraud risks in credentialing.

Hard links couple files with identical data to a single inode, eliminating redundant content storage.

A fuzzy control method calculates semiconductor machine parameters using membership functions to determine optimal adjustments within acceptable ranges.

Global matching reduces distance between re-identification codes to resolve open AFC exit data gaps for accurate origin-destination matrices.

Segmented topic collections resolve the conflict between broad search coverage and precise attachment filtering by group.

A processing system scores digital resource relevance by aggregating user click interactions through shortened URLs.

Automated subscription requests within segmented social circles resolve the trade-off between real-time communication efficiency and complex privacy control.

Separate image and text history areas let users select past conditions to extract matching case data without repeating searches.

Automated systems compare real-time sensor data against ideal lighting specifications to adjust light sources, resolving inefficiencies from manual monitoring.

A crop growth assistance apparatus generates tailored growing methods using a learned model trained on historical data.

Automated notification service distributes messages across email, text, and voicemail channels to resolve time loss from manual group communication.

A virtual four-dimensional treatment suite calculates dose delivery and adjusts gating to manage radiation therapy.

Machine learning model estimates property water usage based on attributes and compares it against actual consumption data.

Polygon-based resource increments conform to geological models, reducing computational complexity and modeling dilution in pit design.

Wireless registration platform eliminates manual transcription errors by capturing attendee data directly into a centralized database.

Prioritized biometric data processing accelerates suitable area identification while reducing manual survey complexity.

An information management system links added scented substances with plant metabolites to present verified production details without mechanical tags.

A POI information device calculates trend ratings by matching posted data against registered place names to determine attention levels.

A database management system extracts specific data columns based on client usage statistics to minimize unnecessary network traffic.

A message notification method classifies incoming messages by keyword importance to control display behavior based on user status.

A network system matches job orders to primary and backup service providers using preliminary ranking.

A parking lot management system identifies users through appearance matching across camera zones.

A computing device selects identity verification paths and generates confidence scores from multiple data factors to enable differentiated service access.

Real-time monitoring of paving operations detects progress deviations against thresholds, enabling immediate interventions that maintain schedule efficiency.

A method determines optimal power distribution across multiple electric generators to minimize fuel consumption per unit of energy produced.