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.