Programme Control TRIZ Cases

See how temperature fluctuation counting identifies stir-frying operations to adjust heating po

See how dynamic parameter grouping shortens air conditioner model calibration time while mainta

See how a booster fan uses temperature rate-of-change detection and learning algorithms to sync

See how integrated AHU fresh air intake and VAV damper adjustments use predictive models to mai

See how binding modem device IDs to appliance serial numbers eliminates data segmentation and e

See how an adaptive staging algorithm uses recent cycle data to determine optimal stage-up timi

See how a bed controller uses pressure sensors and sleep-habit learning to detect user presence

See how Local Search Region Bayesian optimization restricts actuator setpoint changes to preven

See how alternating activation patterns for dual induction zones reduce acoustic noise from fre

See how function-block segmentation and automatic safety-rule checking enable user-customized c

See how rule-based sensor analysis automates energy device control using occupancy, weather, an

See how a cascade control system replaces PID tuning with model predictive control to stabilize

See how a BES template library with parameterized models enables rapid, accurate energy conserv

See how model predictive control replaces PID tuning in cascade dehumidifiers, predicting humid

See how a computational model predicts optimal treatment parameters by fixing user-selected val

See how sequential control strategies monitor temperature differences and operation times to de

See how a hybrid model merges physics-based structure with neural-network correction to control

See how high-frequency sensing and machine learning enable automated cooking parameter detectio

See how a multi-protocol wireless controller eliminates wired HVAC installation complexity usin

See how dynamic heating time selection based on real-time compartment temperature and temperatu

See how signal strength characterization enables automatic operating range detection for extern

See how segmented preset and possible speed layers simplify ceiling fan control while maintaini

See how pressure-drop calibration and damper position feedback replace expensive transducers, e

See how Bluetooth or NFC integration enables mobile-device configuration of HVAC controls, elim

See how synchronized thermostat and weather data train machine learning models to predict energ

See how automated measurement data evaluation and feedback loops optimize heat pump parameters

See how a smart home system disaggregates central heat meter data using per-emitter sensors and

See how a pocketed air filter with temperature differential sensing detects clogging and preven

See how a learning model detects appliance anomalies by analyzing person presence, time, and st

See how camera-based indoor space analysis adjusts wind direction and air volume to improve tem

See how camera-based indoor space detection enables air conditioners to adjust wind direction a

See how zone-based sensor segmentation and automated guideline comparison enable facility manag

See how a thermo-fluidic dynamic model estimates unmeasured parameters in real time, reducing c

See how wireless signal analysis distinguishes authorized from protected users to prevent unatt

See how continuous façade sensors with dual-network data transfer detect thermal performance de

See how a digital twin predicts coolant flow parameters from process recipes to adjust cooling

See how optimized HVAC control trajectories balance peak energy reduction and occupant comfort

See how thermal models and causal mapping identify defrost failures and recommend corrective ac

See how shadow control devices monitor main controller health and dynamically elect replacement

See how characteristic functions relating flow rate to temperature difference enable energy-eff

See how hydraulic delay-based temperature difference measurement and flow rate detection optimi

See how calculated return air dryness using pressure, frequency, and temperature prevents compr

See how motor current sensing replaces contact sensors to accurately determine laundry dryness,

See how AI models predict indoor temperature trends and adjust set temperature before overcooli

See how a graph neural network models thermodynamic cell interactions and surface temperatures

See how a Stirling-engine freezer reaches sub-zero temperatures below -100°C with internet cont

See how a physics-informed graph neural network models air-mixing and surface temperatures to o

See how collecting debugging and system operation information enables proactive fault risk anal

See how spaced structure-borne sound sensors detect impulse location on appliance surfaces to e

See how a mobile application automates HVAC equipment configuration and troubleshooting, reduci

Distributed DER control balances real and reactive power in real time to stabilize grid voltage and reduce added infrastructure.

External pre-circuit components let one input pin set startup blanking and retry timing, avoiding false over-current trips with fewer pins.

An antenna-equipped assembly-line tool locates and verifies wheel sensors, then pairs readings with tire and chassis IDs for faster mapping.

Feedforward set point dispatch balances SOC and minimizes apparent power to improve response accuracy, efficiency, and equipment wear.

Fault-state monitoring flags warning events before a breaker trips, helping distinguish real arc faults from nuisance conditions.

Independent DMS-DCU handshake monitoring detects latent power-control faults with lower architecture complexity and scalable ASIL-D coverage.

Movable track bumps and dips switch height by driving mode to preserve automatic vehicle position accuracy while keeping visual zone cues.

Roll map and cell ID coordinates trace electrode defects back to specific cell positions, reducing waste from discarding entire rolls.

Higher-frequency test actuation reveals component wear more accurately than fixed service intervals, helping avoid premature replacement.

Separate control and start command paths let multiple converters acknowledge readiness first, then begin power conversion in sync.

Balances real-time energy cost optimization with user override constraints so central plants can adjust resource allocation with clear cost impact.

Two sensors with a non-unitary transmission ratio uniquely track motor-driven positions across turns without batteries or loss of accuracy.

An update IO handler keeps process chamber conditions stable during controller software updates, reducing downtime and recovery delay.

A modular backplate and swappable control assembly predict room occupancy to automate loads without costly rewiring.

Dynamic platoon sequencing assigns the weaker-braking vehicle as lead and readjusts roles as conditions change to avoid rear-end collisions.

Neural network monitoring predicts semiconductor tool faults from machine data, helping prevent wafer scrap and unplanned stoppages.

Multi-level control units fuse prioritized sensor data to resolve conflicting inputs while meeting delay limits for safer vehicle control.

Superimposed transparent and rear displays reveal control or display faults by showing complete safety information only when both channels work correctly.

Virtual IDs track each battery cell through process stages, preserving data-to-cell matching for more reliable quality analysis and prediction.

A drive coil doubles as a measuring coil to detect wear, assembly errors, and transfer-point faults in long-stator linear motors.

Real-time simulation of component behavior updates health references as conditions change, improving machine maintenance timing and failure forecasting.

By comparing torque commands and current feedback across amplifier selections, this case detects hidden wiring errors in multi-winding servo motors.

Periodic activation current removes platinum oxide film and hydrates the fuel cell to curb voltage drop during constant current operation.

Using a drive coil as a measurement coil, this case detects air-gap changes, assembly errors, and wear in long stator linear motors.

Vehicle detection and dock-vehicle communication prevent gangway or curtain movement until the truck is present, stationary, and immobilized.

Real-time pressure monitoring and DPU-based motor control match grease pump speed and torque to each lubrication target, reducing overpressure risk.

A controllable track bump or dip changes height by driving mode to preserve vehicle control accuracy and passenger visibility.

Reflected-light monitoring in an enclosure predicts deposition on non-LOS recess surfaces without destructive SEM or TEM analysis.

Continuous feedforward friction compensation smooths torque commands to reduce vibration and keep motor control responsive during reversals.

Real-time CFD and analytical models adjust coating parameters to catch deviations early, improve stability, and reduce scrap.

Machine learning predicts residual film thickness and updates deposition recipes to correct chamber drift, reducing defects and downtime.

Prediction-based heater power control updates future temperature targets to limit furnace overshoot and shorten recovery after substrate insertion.

Automatic load shedding and reconnection balance battery backup, solar, and generator power during blackouts to reduce battery strain.

An internal zero-TC resistor circuit replaces external precision resistors to stabilize current accuracy while cutting PCB area, pins, and cost.

Eye-driven coil motion in a magnetic field helps smart contact lenses sustain power levels while limiting user fatigue and charging complexity.

A persistent virtual twin coordinates microgrid energy flows and DER trading to improve adaptability while limiting cost and carbon emissions.

A daisy-chain CPU and zone ECU layout is arranged by activation-time budgeting to limit startup delay while reducing in-vehicle signal lines.

Real-time prediction and per-equipment limit adjustment keep grouped consumers within target power while adapting to operating conditions.

During grid disturbances, coordinated parameter updates let inverter-based resources hold synchronism, avoid tripping, and restore stable power delivery.

A central controller shifts EV charging earlier to create interruption flexibility during grid overloads without raising cost or missing departure targets.

An on-chip zero-tempco resistor network stabilizes reference current across temperature changes while cutting PCB area, pin count, and cost.

Wireless authentication lets engineers switch electric power component control modes remotely, avoiding hazardous on-site interaction.

Correlating chamber magnetic field distribution with etch results helps predict pattern tilting and etching rates in plasma etching.

Road surface power supply lets a mobile charging vehicle recharge en route, improving timely and reliable BEV rescue.

Scenario data and an aircraft system model expose and categorize trained classifier errors, speeding troubleshooting and validation.

Real-time gas, fan, and louver self-checking closes the loop on energy storage container venting to improve fault detection and safety.

Using commodity FPGA chips with NVM in one package cuts ASIC or COT NRE costs while preserving field-programmable logic flexibility.

Unrecognized battery cell IDs are recovered from similar image records and rereading, improving traceability while reducing manual sorting and scrap.

Sensor-equipped battery cell dummies capture pressure, temperature, gas volume, and strain data to tune process settings and prevent battery defects.

Flat-interval analysis of smart meter net power identifies behind-the-meter BESS location, charge or discharge sessions, and size without disaggregation.