Programme Control TRIZ Cases

See how preheating cooking medium before filtration cycles reduces post-filtration reheating ti

See how automatic control period calculation using operational history balances energy saving a

See how dividing travel areas into hierarchical small and large zones with feature distribution

See how a relay monitor circuit with secondary control replaces thermal cut-out devices to prev

See how dynamic air-conditioning control uses temperature change rate and density detection to

See how an HVAC analytics system uses capacity available ratio (CAR) tracking with weather data

See how encoder-controlled motor voltage assists vacuum cleaner movement, reducing user effort

See how an HVAC controller obtains proximate environmental data from nearby thermostats or clou

See how shape memory alloy dampers and occupancy sensors replace motorized vents to reduce HVAC

See how beacon-based occupant authentication and local biometric processing reduce manual input

See how route-based arrival prediction adjusts heating schedules before occupancy, ensuring war

See how feedforward disturbance estimation from occupancy, solar, and equipment sensors combine

See how a master device auto-assigns addresses to slave devices using selection rounds and conf

See how a thermostat uses air quality sensors and runtime tracking to dynamically adjust blower

See how a centralized controller coordinates HVAC subplant staging by detecting events and dela

See how a portable remote processing apparatus reduces negotiation delays in property transacti

See how movement detection triggers active soleplate cooling in stationary ironing devices to p

See how predictive HVAC control uses nighttime pre-cooling and thermal mass to reduce daytime m

See how diode and switch configuration repurposes existing wires to enable continuous battery c

See how a ventilation unit transmits usage data to a remote device for energy calculation, elim

See how simulation and reinforcement learning identify penalties from unscheduled setpoint chan

See how cooking appliances collect user behavior data to filter and deliver only relevant infor

See how finite-state machines and dynamic scheduling reduce HVAC testing time by running compon

See how a decoupler predicts and compensates for interaction effects between HVAC feedback loop

See how a duct-type air conditioner calculates set temperature from recorded data to enable aut

See how a controller monitors wireless device connections to detect user presence and automatic

See how portable computing devices detect user presence and resolve preference conflicts to aut

See how shared performance variables and gradient-based control enable multiple HVAC controller

See how a range hood detects smoke density, food weight, and color to self-adjust motor power,

See how nighttime pre-cooling stores thermal capacity in building mass, reducing daytime mechan

See how infrared light-intensity measurement detects food state and adjusts temperature and hum

See how a thermostat hub integrates remote sensor feedback to control HVAC, lighting, and blind

See how an air-conditioning remote controller integrates image acquisition from external termin

See how an HVAC system generates custom operation sequences from user inquiries, enabling post-

See how mobile device location tracking replaces static schedules and inaccurate sensors to adj

See how a controller predicts HVAC power consumption across primary, deferred, and off-states t

See how a management apparatus detects processing load levels and adjusts communication interva

See how a thermostat processing circuit projects energy usage, generates comfort scores, and pr

See how a non-model-based HVAC controller segments primary and secondary variable tuning to red

See how a touch-responsive scheduling grid merges discrete thermostat inputs into sweeping gest

See how multiple sensor types determine occupancy reliability to adjust temperature and lightin

See how gradient-based feedback control enables multi-zone heat pumps to minimize power consump

See how distributed temperature sensing in a shared attic space enables dynamic capacity contro

See how a smart socket detects air conditioner status and automatically enables rapid cooling o

See how biosensor and environmental feedback dynamically adjusts terminal performance to reduce

See how duty-cycle modulation with gradient extraction enables extremum-seeking optimization in

See how dynamic temperature adjustment reduces air conditioner energy consumption by monitoring

See how mobile camera capture of visual indicators automates sensor-to-circuit association, ena

Processes HUMS torque, cruise, and flight regime data into component severity indices to support fatigue-based aircraft maintenance.

Selective press-part sampling links sheet properties, process settings, and measured quality to cut inspection load while improving process control.

Bayesian optimization tunes model-less controllers from live operating data, avoiding disruptive step tests while adapting to system changes.

Multiple particle size readings from hydrocyclone overflow enable real-time grinding control to improve floatable fraction and metal recovery.

A planning tool learns naming compatibility from device feedback, catching control program errors before transmission and reducing manual renaming.

Zone-based textile structures let garment designs vary airflow, heat transfer, and durability while keeping machine instructions manufacturable.

Using library-based geometric entities and model intersection, this case cuts CAD programming time while preserving accurate additive manufacturing paths.

Fleet flight data is processed in parallel so engine specialists can build monitoring indicators and unsupervised models without distributed coding.

A searchable textile machine interface retrieves labels and jumps to the right setting, reducing navigation time for complex parameter screens.

Switchable clock generation and propagation lets EtherCAT nodes sleep, wake remotely, and maintain synchronization with signal quality checks.

A software-guided activation workflow lets installers provision a unified home security and automation controller using remotely stored configuration data.

A stacked spring assembly, blade rotation sensing, and fiducial detection improve cutting force control and blade positioning across diverse materials.

Indoor temperature feedback adjusts motorized sunshade modes to handle thermal inertia, improve comfort, and cut building energy use.

A gas spring and LM guide let machine tool operators raise, lock, and pivot the control panel with less effort while hiding bulky hardware.

Adaptive command parameter tuning cuts trial-and-error setup for low-rigidity loads while improving positioning consistency.

Movable pivoting buckets, sensors, and service stations raise crop output in a compact footprint while cutting labor, water use, and waste.

Machine-learned DTC rules turn telematics and malfunction records into early vehicle fault detection for predictive maintenance.

Electronic fences mark safe field boundaries so agricultural machines can avoid roads, water, and slopes with warnings and shutdown control.

Setpoints are constrained by available and minimum renewable energy to reduce waste and keep hydrogen production stable under volatile supply.

Automated 5-axis CNC trimming uses computed tool paths and trim lines to remove dental appliance excess material with higher speed and accuracy.

Automated braid measurement, comparison, and reprogramming cut implant braiding trial time while maintaining precise geometry.

Spiral suction-head motion uses compressed-air pressure changes to locate offset workpieces and improve robot pickup stability.

Adaptive sensor-based control replaces fixed thresholds to improve fastener seating, torque management, and kickback handling in power tools.

Highlights undefined special assembly tasks, lets users assign executing facilities, and keeps process design workable for unique products.

Machine learning automates antenna path studies with current site data to choose reliable private network links with less manual rework.

Weak physiological signals are denoised before amplification using common-mode suppression and tuned filtering to avoid saturation and preserve signal quality.

When multiple abnormal vehicles are detected near the next work station, remote routing diverts unfinished units to repair and avoids downstream interference.

Camera-based guidance calculates and displays part attachment positions so store staff can assemble custom shoe lasts faster and more accurately.

A continuous curved target lets LiDAR scan multiple ranges in one setup, improving reflectance calibration accuracy and reducing channel variance.

A management unit links multiple home automation control units into one installation, preserving device identity and simplifying multi-protocol control.

Automated parameter changes induce and correct molding defects to build machine-learning datasets with far less operator time and labor.

Building and shadow models notify occupants when to reposition shades, improving daylight and energy control without costly automation.

Simulation, clustering, and parameter variation identify operating changes that keep product quality stable when input materials vary.

Virtual video is optically filtered for brightness and distortion so HILS can evaluate camera recognition and vehicle control more realistically.

Internal sensors and time-aligned data correlation let a gas turbine gateway securely send engine data and updates offboard without cables.

Built-in sensors and actuators assess user impairment and automatically tune joint tension and resistance without separate test equipment.

Preplanned aperture assignment and vehicle routing let multiple robots complete orders concurrently while lowering collision risk.

Automated measurement plans guide users step by step through complex device setup, cutting preparation time and expertise needs.

Stored signal parameters let one safety input module adapt to different transmitters, cutting wiring complexity and evaluation delay.

Virtual scarf repair adjusts taper ratios and ply contours to cut composite patches accurately while minimizing material removal.

A projected capacitive sensor inside the toilet tank enables touchless flushing through the reservoir surface without visible sensors or structural changes.

State-model filters detect and estimate downhole sensor faults in real time, reducing redundancy, shutdown maintenance, and drilling cost.

Preconfigured files transferred through central storage and a mobile device cut HVAC commissioning errors and support reliable offline setup.

Ensemble local and global agents compare feature vectors with decision boundaries to detect stealthy attacks and isolate faults in cyber-physical systems.

AI compares sensor readings with standard measurements to flag uncalibrated sensors, cutting manual recalibration time and unnecessary service.

A graphical modeling studio shifts full plant data analysis to a big data machine, improving prediction, trend detection, and fault diagnosis.

Normal direction change rate from circular motion tests helps tune NC machine control parameters to suppress visible streak-like machining marks.

Pre-stored summary requests cut repeated request creation, reducing communication load and speeding control state data acquisition.

Using one animated 3D model instead of many 2D images cuts memory use, improves perspective clarity, and supports reusable welding sequences.

Measured surface profiles and assembly adjustments predict coupling positions that keep aircraft structures within contour tolerances.

Regression models and multi-objective optimization turn past supply-chain transactions into near real-time cost and production-time predictions.

Periodic switch testing with dwell time verifies heating pad safety circuits and cuts power if a failed switch risks overheating.

A robot-guided mobile water jet unit cuts bulky composite rotor blades on-site, reducing tool wear, transport burden, and contamination.

A two-stage sensor and process control scheme cuts parameter complexity in plastic film production while improving product consistency and energy use.

An interactive BMS view maps selected objects to related equipment and spaces, helping users diagnose control logic impacts faster.

Coordinated cascade control assigns generator switching states and target values to meet heat, cold, or power demand faster with balanced wear.

Known-feature calibration objects and constrained robot poses improve multi-camera hand-eye calibration for accurate workpiece positioning.

Access-based mask templates hide private building entity data while avoiding large user-specific access tables and excess storage.

Preprocessed and optimized timeseries let building energy dashboards switch data views quickly and reduce query-time presentation delays.

A calibration plate with visible reference marks and firing windows improves X-Y beam positioning and Z focus across the powder bed.

A double ballbar and virtual regular tetrahedron cut feed drive geometric error measurement time and cost while keeping calibration consistent.

Simultaneous frequency and time response simulation helps tune servo velocity and position control parameters without repeated load-device testing.

Hydraulic pressure and slump tracking across drum speed changes detects dynamic concrete segregation early enough for corrective mixing actions.

Student-t noise estimation captures unknown process and measurement uncertainty, enabling more stable state control than fixed Gaussian filtering.

AI workflow managers route billing, collections, and dispute tasks between robots and staff to cut resolution time and manual effort.

A patterned ink layer tied to holder data adds visual authentication to smart card modules, reducing contactless eavesdropping risk.

Sensor nodes and remote control adjust irrigation by soil moisture and weather data, reducing overwatering and under-irrigation.

Static metadata checks allocated memory in industrial controllers to detect faults early and trigger notifications or a safe state.

Radially shifting the workpiece holder during table rotation keeps cutting speed above a minimum while improving machining throughput.

HSM-backed credentials and signature checks secure ICS software deployment across cloud links while preserving integrity and authenticity.

A unified welding main controller combines telematics host and client functions to centralize engine and weld data for remote monitoring.

Multi-sensor zone logic separates accumulation from flow, tuning release and crowding to keep conveyors dense, fast, and gentle on products.

Selective AR overlays and 3D environment mapping let workers access obscured or distant process objects without sensory overload.

Measured die-cutter reference holes update the counter-die drawing, improving creasing-channel alignment while cutting waste and rework.

Task grouping across access points, base stations, and edge servers improves time-based energy demand prediction and load distribution.

Embedded light codes let mobile devices identify retail objects and confirm list selection through color, saturation, and intensity changes.

Sensor-based scoring helps a robot identify people likely to assist, reducing failed interactions, energy use, and task time.

Using 3D geometry models to drive NC machining at nominal dimensions improves aircraft part fit and removes shims, fixtures, and drill jigs.

A separate order database and service gateway let diverse clients access engineering data while adapting workflows without risking productive data integrity.

Combining mobile-device sensors with stationary units improves occupancy detection for building control, even when users remain still.

Lipschitz bounds on unmodeled dynamics enable safe data-driven machine control that preserves state and input constraints during policy updates.

Bayesian blade tip timing turns noisy Time-of-Arrival data into more accurate rotor vibration and damage estimates for turbomachine maintenance.

Interpolating unmeasured 3D regions lets a multi-finger hand set safe finger spacing and grip objects despite occlusion.

Redundant cloud service selection and secure information transfer help plant control systems stay available during network failures.