Data Processing Applications TRIZ Cases

ESR-based health monitoring tracks energy storage degradation during state changes, enabling maintenance scheduling for wind turbine backup power.

A retrofit communication circuit enables close-range GUI monitoring, fault logging, and firmware updates without opening power device housings.

When an autonomous vehicle is immobilized, passenger-guided local assistance helps resolve obstacles faster while limiting malicious input.

Pattern data built from time-synced device energy and control signals helps classify operations and cut building energy use.

Rear radar, camera, and an outward display let the lead vehicle detect tailgating, issue escalating warnings, and cut rear-end collision risk.

Near-field and active RFID let school buses verify authorized students quickly while keeping accurate location tracking for parents and staff.

Real-time energy price and source visibility, plus machine learning and gamification, help consumers shift usage and ease peak grid demand.

Vehicles with below-threshold battery capacity are temporarily halted until they align with fleet average, reducing uneven degradation.

A cost function analyzer decides when to store excess power as hydrogen, use it, or sell it to lower operating costs.

A parked vehicle shares its location with a data center to enable user-approved ignition blocking in high-crime zones and deter theft.

Real-time string current and irradiance comparison improves photovoltaic array fault detection accuracy without ambient temperature interference.

Automatic setpoint adjustment with energy storage cuts peak demand charges without needing precise demand window timing.

Aggregating battery data from multiple vehicles in the cloud improves state, health, and lifespan estimation beyond embedded BMS limits.

A stored standard reference function lets the converter maintain stable output and network operation when external communication fails.

Free transportation replaces payment as the incentive in household service matching, increasing consignee participation and balancing requests.

Battery use duration and degradation indices set DR participation priority, balancing grid power supply with battery life preservation.

Fast-response assets bridge startup delays of slower power assets, enabling immediate energy shifting with lower losses and wear.

Measured cover and base heights guide physical removal steps to separate solar panel layers while keeping the cover layer intact.

Controlled grid disturbances reveal inertia and damping from existing measurements, reducing PMU dependence while limiting voltage impact.

Uses voltage and frequency measurements to estimate grid response parameters more accurately when PMU coverage is incomplete.

Time-dependent modeling links generator commitment and load levels to grid frequency response, improving prediction and mitigation of frequency variations.

RFID tags with fixed and rewritable holder data help detect mismatches between token ownership and player location in casinos.

Staggered start timings across multiple apparatuses spread power adjustments over an interval to maintain supply-demand balance stability.

Tracks device-to-vehicle assignments and abnormal states in autonomous or remote factory vehicles to route maintenance without manual checks.

Load-based switching between engine and battery power cuts fuel use and noise while maintaining stable output under changing demand.

An asset allocator balances production, storage, and distribution across subplants to cut real-time energy costs while meeting demand.

Measured facility data and resource-specific inputs generate more accurate control commands for demand response and energy usage optimization.

A two-stage state estimation approach places fewer grid measurement units while avoiding pseudo-measurements and preserving congestion and voltage accuracy.

Uses user identity, anthropometry, and sensor history to auto-configure cargo access and space for easier entry, exit, and vehicle use.

Sensors track gondola fill level, tilt, temperature, and location to replace manual checks and improve produce transport efficiency.

Machine learning in a battery MES detects production deviations and autonomously adjusts parameters to maintain quality and reduce recall risk.

Precomputed energy flow schedules keep accumulator charge balanced across a time domain while simplifying multi-interval trading coordination.

Packaging-level identifiers link each electronic component subunit to production and inspection records, improving abnormality detection and quality control.

Real-time sensor feedback adjusts wellsite generator loading and warm-up to match drilling demand, improving efficiency and lowering emissions.

Travel history data is used to identify lost tire additives and recommend the right replenishing agent for reliable performance restoration.

Communication-time scoring matches power buyers and sellers in low-voltage grids to improve real-time balancing and maintain grid stability.

Parallel shadow-mode testing compares real and virtual driving data to show drivers when newer assistance features are worth activating.

Computational sizing balances PV, battery, and generator capacity against grid interruptions to prevent energy failures and improve self-sufficiency.

Pre-extracted AV scenarios turn large sensor datasets into searchable records, cutting manual audit time while preserving safety assessment coverage.

Predicting adjustable power for each consumer facility helps aggregators meet DR requests while limiting penalties and consumer discomfort.

Utilities can smooth peak demand by scheduling air conditioner operation in advance, reducing brownout risk and customer energy costs.

Flexible remote computing loads absorb generation power during low or negative pricing, reducing curtailment losses and avoiding T&D costs.

Fusing emergency, traffic, network, crime, and gunshot data, this case routes autonomous responders to higher-risk locations with better resource use.

Motion-based scoring and guide phrases help construction equipment operators improve fuel efficiency, durability, and driving habits.

Parking location and duration rules trigger rapid owner alerts when a parked vehicle moves, improving theft deterrence and response.

Transforms voltage and current signals at local grid frequency to estimate equivalent impedance and assess weak-grid stability for HVDC links.

Communication units coordinate controllable loads and local supply to cut peak demand, relieve the grid, and reduce energy losses.

Smart meters with internal switches let utilities disconnect non-critical loads while keeping critical services powered during grid stress.

A meter socket adapter integrates transfer switching and control logic to cut standby power installation time, rewiring, and cost.

By comparing hydrogen concentration before and after air supercharging, this case distinguishes leak causes and sensor offset in fuel cell vehicles.