Programme Control TRIZ Cases

Aggregated multi-zone MPC simplifies building precooling while keeping each zone within comfort limits and reducing HVAC energy use.

Geo-located occupant thermal and maintenance reports help managers respond faster to HVAC comfort issues and uncover energy-saving opportunities.

Ventilation timing is determined from indoor and outdoor air quality, weather, and user thresholds to improve air quality without unnecessary HVAC energy use.

Wireless smart vents use occupancy and temperature data to regulate room airflow, cutting HVAC energy waste in unoccupied spaces.

Sensor and weather-driven thermal response modeling enables pre-heating and pre-cooling to cut energy waste while maintaining comfort.

Mobile entry, exit, and indoor location data let HVAC and lighting follow real occupancy by zone, cutting waste from rigid schedules.

Distributed wireless sensors and a wearable display let HVAC teams capture and share real-time airflow, pressure, and temperature data.

A floor plan interface lets users select the correct air conditioner and adjust airflow direction by touch, cutting steps and misoperation.

A parameter check layer blocks incompatible or malicious recipe settings before execution, protecting cooking operation from unsafe control instructions.

A wireless thermostat uses a mobile device and web-service registration to simplify remote HVAC control while reducing setup complexity.

A galvanically isolated single-wire bus enables bidirectional communication across potential ranges with fewer data lines in portable electric machines.

A finite-state self-testing module automates HVAC commissioning by exercising equipment, reading sensor feedback, and diagnosing faults faster.

Independently inflatable cells alternate local pressure and relief to improve blood flow, reduce shear, and help prevent pressure ulcers.

Automatic wire detection and guided setup let a thermostat self-configure complex HVAC systems without burdening users with manual settings.

Portable-terminal distance tracking adjusts setback and restart timing to cut AC energy use without sacrificing comfort on return.

Pressure sensors and a central controller detect off-bed pressure loss and restore an air mattress to the user's preset firmness automatically.

A decoupler predicts cross-loop effects and adjusts set points to keep temperature, pressure, or humidity control independent after space changes.

Qualitative occupant feedback is converted into a comfort map so HVAC setpoints adapt in real time, improving comfort and reducing energy use.

Read-only ventilation review lets inspectors verify HVAC setup for code compliance without changing equipment parameters.

When rooms merge or split, HVAC controllers self-configure into master-slave control to stop parallel heating and cooling.

Adaptive setpoint ramping uses weather and occupant preferences to cut HVAC energy use while keeping indoor comfort stable.

Foam is detected while the drum rotates at sticking speed, avoiding stop-restart imbalance phases that add wash time and energy.

Real-time household energy data lets the thermostat shift HVAC setpoints before demand thresholds are exceeded, cutting peak charge costs.

Adaptive occupancy sensing builds spatial and behavior models to cut HVAC and lighting setup cost while improving energy efficiency and comfort.

Motor current or voltage at a fixed fan speed reveals filter dirt buildup, enabling more accurate air purifier filter replacement timing.

Dynamic HVAC control uses net load, site temperature, PV output, and energy price signals to cut grid use while maintaining comfort.

Combining local and nearby sensor data by device location enables more accurate residential air condition control than district-level or single-device sensing.

Personalized climate zones use physiological data and learned preferences to adjust local temperature, humidity, and airflow for each occupant.

Liquid-level threshold control slows the drum before a closed liquid ring forms, enabling accurate foam detection and stable drainage.

Remote and DIP switch setting priority lets installers change air conditioner functions before or after installation without opening the control box.

Gravity-fed detergent dosing uses a vented diverter valve and controller to deliver precise washer fill volumes without pumps.

Backup copies of power-use and pro-rata billing data are stored in central controllers, preventing loss when the master unit fails.

A central regulator coordinates DOAS and VRF compressors, fans, and valves to reduce cycling losses and energy use while holding temperature and humidity.

A dual LED and fluorescent retrofit light cuts 24/7 energy use by switching illumination levels from motion and occupancy sensing.

Raw IR code capture lets a central coordinator schedule and control discrete AC units by occupancy and temperature to cut building energy use.

Closed-loop temperature sensing and mobile-guided recipes improve cooking consistency, cut time, and reduce food waste.

Real-time sensor feedback and remote temperature control help fan coil HVAC units adapt across multiple spaces while improving energy use.

Continuous sensing of temperature, humidity, and air quality enables automatic smart-home adjustment before indoor discomfort or gas risks escalate.

A multi-stage damper and orifice plate extend HVAC flow turndown beyond 10:1 while improving low-flow measurement and reducing energy use.

Scheduled wake-sleep control lets mesh-connected AC controllers coordinate by occupancy and climate while cutting controller and cooling energy use.

CO2 trend sensing verifies room occupancy beyond light status, helping air conditioners avoid false shutoff and reduce energy waste.

Multi-sensor feedback unifies control of air conditioners and ventilators, reducing manual adjustment and energy waste while maintaining comfort.

Preheating before cold-weather demand response events cuts HVAC peak power use while maintaining comfort and limiting auxiliary heat.

A main monitoring layer links distributed generation and HVAC energy subsystems to coordinate power use and cut distribution losses.

A floor-mat induction charger keeps powered ergonomic chairs running without cords or battery upkeep while preserving chair mobility.

Optical code recognition lets a capsule beverage machine identify different capsule brands and apply the right brewing settings automatically.

Offline weather-based strategy pooling cuts HVAC demand-response computation, enabling real-time control with thermal comfort and lower peak load.

Liquid-level monitoring during drum rotation detects excess foam early, cuts stop-start energy loss, and avoids extra unbalancing phases.

GPS and cloud ETA tracking start home HVAC only when a user is nearing arrival, cutting idle energy use without sacrificing comfort.

Occupancy and home sensor data let a mobile robot adjust tasks in real time, avoiding rigid schedules and improving convenience.

AI-driven HVAC control uses indoor, outdoor, occupancy, and health data to raise ventilation and filtration only when needed, limiting energy waste.

Magnetometer-guided path control helps drill a second wellbore near an existing one with fewer trajectory errors, lower cost, and better productivity.

AI demand forecasting and sensor-driven crop control help greenhouses match planting and harvest timing to orders while reducing waste.

A handheld device and signal-simulating dongle automate I/O loop verification, cutting manual checking time and commissioning effort.

3D surface analysis detects cutting edge boundary surfaces automatically, reducing manual setup errors in post-soldering insert machining.

Hybrid fault-augmented models map production topology and simulated fault causality to speed root cause analysis with limited labeled data.

Pressure swing preservation uses ML-matched product parameters to inactivate microbes while protecting sensitive ingredients and product quality.

Repositionable vacuum grippers and force-controlled wet-out let one robot place multiple emblem sizes accurately while cutting tool changes.

Telegram-triggered recording lets a control unit capture drive actual values during operation, enabling earlier fault detection and less downtime.

Metadata checks gate input data before module output, reducing inappropriate processing and improving virtual sensor accuracy.

Machine learning correlates vessel sensor trends with operator feedback to reduce false alarms and enable earlier maintenance action.

Machine learning adjusts nest offsets and part routing from live station data to handle tolerance shifts and equipment downtime.

Optically captured tool contours align multiple profiling and polishing wheels, improving stone edge precision while reducing manual setup errors.

Centralized threshold and error management routes abnormality alerts by user setting, improving relevance and administrator troubleshooting.

Simulated faults and emulated sensor data create tagged training sets so control models can detect rare pre-failure conditions before downtime.

Continuous wear tracking estimates residual tool life, helping operators schedule tillage tool replacement without disruptive visual inspections.

Drag-and-drop trend setup lets operators turn process graphics into real-time charts, reducing manual configuration time and interface burden.

A grooved capacitive wall panel maps touch location and gestures to lights, audio, and temperature control without dedicated remotes.

Local processing of hydraulic sensor signals lets an implement calculate load weight digitally, avoiding vehicle modifications and analog signal errors.

A unified information metamodel links station layouts, interfaces, and live data to expose bottlenecks across continuous industrial processes.

By synthesizing status data from multiple semiconductor tools, this case improves teacher data selection for time-series anomaly detection.

BTLE-linked mobile setup and central press programs help radial presses prevent joining defects in safety-critical composite hose structures.

Prioritized scanning of upskin and downskin regions improves surface homogeneity in generative layer construction by reducing thermal inhomogeneity.

Selective public-variable collection cuts memory and communication load while protecting confidential machine data from exposure.

Beam allocation is varied by cross-section region to cut AM build time while limiting boundary inhomogeneity and property variation.

Separate fan paths cool hot components and user-touch chassis surfaces, helping compact high-performance systems manage heat and comfort.

Shape-sensing fibers and local sensors improve operator tracking accuracy for precise robotic tool control with less tissue damage.

A simulation model predicts virtual heater power to spot injector or heating faults while maintaining uniform substrate temperature.

Local edge AI processes surgical data near the robot to cut latency, reduce bandwidth load, and support timely risk alerts in telesurgery.

Hierarchical node comparison replaces line-by-line text merging to combine parallel industrial project edits with consistent typing and fewer errors.

Offline memory erasure and factory-state reconfiguration let servers swap in reserved memory fast while protecting prior user data.

An intermediary converts remote terminal inputs into simulation commands, enabling robot training access without spreading format complexity.

Caching commands at the interface device keeps slow field protocols from blocking multi-device execution and cuts channel switching delays.

Measured bead scans drive response-surface parameter updates to stabilize adhesive shape on complex paths and shorten setup time.

Segmented robotic arms inserted through small access ports improve in-body mobility and sensory feedback for more precise minimally invasive surgery.

Energy-beam densification and microstructure control reduce deformation, porosity, and support needs in complex 3D-printed overhangs and cavities.

Contact sensing links touch results to mounting conditions, helping diagnose PCB component push-in failures that imaging alone cannot detect.

Accelerometers, actuators, and displays turn decorative headgear into a responsive system that reacts to head orientation with motion and visual output.

Fixed safety function mapping and programmable PLC modules reduce wiring, relay contacts, and panel space without compromising safety integrity.

A shared command database coordinates redundant I/O modules to prevent control interference and enable seamless hardware takeover after failure.

Cloud-based storage and analysis tools shorten industrial control development cycles while improving version traceability, backup, and IP protection.

Machine learning converts user energy quantifiers into personalized printable formulations, overcoming rapid prototyping limits in energy rebalancing.

A super controller stages instance-scoped updates to tenant software stacks, limiting fleet-wide impact from faulty controller changes.

A Bayesian neural network restores stochastic noise lost in compressed operating signals, improving control training and storage efficiency.

Multiple vehicle DTCs are ranked by system and code priority, enabling sequential troubleshooting that cuts diagnosis time and cost.

Predicted interface signals and delayed communication reduce numerical artefacts, solver instability, and processing time in modular co-simulation.

Real-time rotor vibration sensing detects harder material transitions and auto-adjusts milling speed, depth, and rotor speed to reduce wear.

ML-based prediction of later test failures from earlier results helps skip unnecessary manufacturing tests while preserving product quality.

Motor sweep feedback reveals resonant and anti-resonant shifts to infer belt tension without shutdowns or tension meters.

Precomputed bead directions from 3D blade data guide welding deposition, cutting waste, and yield loss in curved additive builds.

Regional control system detects behavioral pattern deviations and sends wireless alerts to enable manual override of automated sequences.

Modular analysis of vehicle performance, energy usage, and vibration isolates faults to estimate component remaining useful life.

A position sensor uses a rollable object inside a non-planar container to detect coordinates via electroconductive strips.

A machine tool control device generates measurement programs from machining data to automatically determine tool dimensions.

A hot cutover box creates an electronic virtual bypass to migrate control signals between controllers without disrupting electrical continuity.

Autonomous participant communication eliminates master unit dependency, resolving reconfiguration complexity while maintaining network load.

A control apparatus determines a remaining capacity change model to estimate temporal changes in energy storage systems.

A floor plan interface manages movable device icons to maintain accurate room-based correlations.

A machine tool adjusts rotary table clamping timing based on positional deviation to optimize cycle time.

Bus intermediaries transmit verified configuration data to distributed drives, eliminating manual point-to-point wiring and reducing setup time.

A numerical controller calculates swarf accumulation volume to determine precise discharge timing.

A social application client sends control commands to household appliances via a central server using unique social accounts.

A numerical controller activates a gentle operation mode to vary acceleration and jerk values within a partial range.

IoT entrance systems prevent device spoofing by verifying wireless addresses and matching time-based passwords, resolving single-factor security weaknesses.

Distributes virtual controllers across multiple servers to maintain deterministic real-time behavior during automation commissioning.

An AI-enabled mobile terminal employs a learning data unit to handle repetitive calls, saving user time and reducing manual intervention.

A supervisory control device generates graphical representations of network topology to visualize critical system states.

Segmenting diagnostic information via an intermediary device resolves the trade-off between information completeness and ease of operation.

A servo actuation controller calculates power limits using downstream inverter voltage measurements to constrain energy consumption.

Probes measure soil resistivity to build a 3D moisture map, enabling zone-specific sprinkler activation that eliminates overwatering and reduces water waste.

A processing apparatus dynamically varies ejection nozzle velocity and material supply to shape curved cross-sections in additive manufacturing.

A numerical controller acquires connection information from daisy chained serial bus devices to identify removed units.

User-definable object description reference strings map inconsistent naming conventions to a unified display, reducing maintenance time.

A vehicle control system records manual operations and replays them automatically using real-time GPS position data.

A numerical controller tracks variable access during look-ahead processing to identify specific design inputs.

A control unit calculates AD converter errors using an RC filter to correct rotation speed and torque inaccuracies in cooling fans.

A load driver circuit estimates model parameters to optimize electric load operation.

Embedding device type managers in firmware allows automatic configuration restoration without external tools or internet access.

Local communication between field devices segments processing tasks, preventing controller overload during network disruptions.

A test management system assigns status values to case-configuration combinations to determine relative coverage metrics.

A voltage fluctuation suppression device controls the active and reactive power output ratio to stabilize grid voltage.

Service providing device extracts biometric data and transmits collation order information to optimize authentication sequencing.

A servo motor control apparatus dynamically adjusts feedback loop parameters to stabilize operation.

Monitoring device interrupts output circuit connections when test signals fall below required frequencies, preventing incorrect component activation.

A programmable replacement climate controller uses embedded applications to match OEM vehicle systems through a user-friendly programming interface.

Central controller generates addressed signals to operate individual smart outlets, eliminating expensive embedded electronics in each device.

A wire electric discharge machine uses machine learning to correlate temperature data with guide positions for thermal displacement correction.

Acoustic feedback replaces visual displays to convey force augmentation, allowing users to perceive torque changes without direct observation.

A MEMS element coupled to sensors and a controller dispenses fluids at varying rates based on detected surface features.

Synchronous interrupts on the backplane synchronize option board data transfer, reducing signal routing complexity and timing errors in motor control systems.

A numerical controller sound converting unit transforms drive axis time-series data into audible signals for intuitive operator feedback.

A processing step data generating apparatus creates unit data from product and material shapes.

Integrating a detachment switch into the connector prevents unintended robot power cutoffs by ensuring proper disconnection sequences.

A field device processor calculates measurement precision values to enable remote verification of sensor accuracy.

A robotic skeleton mimics human movements via sensor data to enable spontaneous adaptive actions.

A 3D CAD model simplification method merges multiple features into a single geometry while mapping unique identifiers to retain design references.