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.