Programme Control TRIZ Cases

See how a heat recovery system captures thermal energy from computation devices and dynamically

See how an automated access panel uses sensors and authentication to enable secure drone packag

See how a temperature controller uses thermal modeling and a single sensor to predict and preve

See how a LiDAR virtual wall detects obstructions in mobile shelving aisles, stopping bay movem

See how a safety features stack with automated fail-over, optimization watchdog, and rule-based

See how position tracking adjusts voice module detection parameters in real time to improve rec

See how coordinated compressor and fan frequency adjustment stabilizes discharge air temperatur

See how a mobile app replaces expensive server-based supervisory software by wirelessly connect

See how a control device segments reference and consumption energy to distribute heat source de

See how sensor-verified fire extinguishment enables remote electromechanical valve control to s

See how machine learning adjusts air volume and direction per zone to eliminate hot spots and r

See how AI vision recognition identifies ingredients, retrieves recipes, and generates applianc

See how segmented fan modules with independent control meet airflow demand using multiple low-s

See how a mobile application replaces expensive server-based supervisory software by enabling w

See how a mobile app enables remote control of a front door refrigerator, allowing non-face-to-

See how integrating motor, controller, and wireless communication into one actuator housing red

See how a wired remote controller adjusts display brightness based on indoor unit power capacit

See how concatenating BACnet object change data into system-specific packets reduces network co

See how machine learning replaces fixed-rule cooling control to dynamically optimize energy, wa

See how a cloud platform with digital twin modeling and onsite intermediary controller optimize

See how environmental sensors detect temperature and humidity to activate defrost fans only whe

See how batch configuration and template copying reduce commissioning time and errors for hotel

See how synchronized thermostat, weather, and occupancy data train machine learning models to p

See how short-range wireless interfaces and mobile apps replace manual control board access, re

See how automated segment linking and synchronized control enable flexible room rezoning withou

See how zone-segmented sensor deployment and a multi-functional dashboard enable facility manag

See how generative AI models optimize purification device placement, count, and power settings

See how a sensor suite with controlled gas flow and multi-sensor detection enables standardized

See how a generative AI model integrates air quality detectors and purification devices to opti

See how cloud-based verification of user location and identity, combined with dynamic switching

See how balance-point temperature parameters replace degree-day assumptions to forecast buildin

See how a health status algorithm monitors hardware and software parameters in building control

See how model predictive control uses thermal behavior models and system identification experim

See how a health status algorithm monitors hardware and software parameters in building control

See how an HVAC control system analyzes environmental parameters against historical patterns to

See how AI parameter learning enables dynamic switching between rapid and comfortable cooling m

See how anticipatory and feedback parameter control in cryogenic tunnels reduces cryogen waste

See how AI models predict temperature trends and adjust set points before overcooling occurs, r

See how an integrated control system with processor, memory, and temperature sensor enables ACH

See how a smart socket monitors electricity consumption to infer detergent levels in non-IoT wa

See how predictive control and reinforcement learning balance fresh air intake, filtration, and

See how a cooking device collects user feedback on cooking degree and automatically adjusts par

See how non-connected HVAC controllers encode settings as machine-readable display output for o

See how a wireless controller bridges multiple communication protocols to reduce HVAC installat

See how a layered software architecture separates hardware control from remote function executi

See how dynamic backlight and load control in thermostats reduces internal heat generation to m

See how multi-sensor monitoring with a digital control processor filters ambient hydrocarbon in

See how feedback sensors and switchable high-voltage supplies enable dynamic ion ratio adjustme

See how a home appliance detects adjacent motor frequencies and adjusts its own to prevent beat

Machine learning turns SCADA and sensor data into early wind turbine failure alerts, reducing reactive maintenance and unplanned costs.

Inverted dual output signals let a separated emitter-receiver photoelectric sensor detect disconnections and internal faults without PLC diagnostics.

A gateway applies customer-defined device policies to utility pricing signals while keeping sensitive energy data local and auditable.

Predicts power use for new households by matching updated home device profiles to similar homes when no past usage data exists.

A standardized FPGA and NVM chip package cuts ASIC transition NRE while preserving field programmability for advanced-node logic products.

High-impedance feedback lets an ultrasonic cleaning controller track transducer resonance, improving sensor de-icing efficiency while limiting power use.

Centralized demand forecasts and local baseline updates help EV stations manage peak-hour limits, storage, and renewable power in real time.

Initial terminal-post coordinates and camera-based deviation correction improve pre-welding alignment accuracy and switching across battery pack blueprints.

Weighted vibration sensing across operating states quantifies cumulative machine damage more accurately for maintenance planning.

A gateway applies customer-set policies to utility energy signals while bifurcating data to protect privacy and preserve auditability.

Predictive battery preconditioning uses driving data, battery state, and charging intent to raise charging efficiency while limiting energy waste.

Residual time-series modeling isolates abnormal asset behavior from expected fleet variation, cutting false positives and easing interpretation.

Using the actual coasting speed after emergency stop release, the controller restores buffer motor speed quickly while limiting regenerative power.

A horizontal and vertical jig measures buffer separation distance to align side track buffers with transfer rails and prevent FOUP impact.

GIS-based branch models and probabilistic load-flow estimation improve low-voltage network control when metering data is sparse or uncertain.

Separate ARM and FPGA control paths cut BCMU communication delay, enabling real-time battery protection in energy storage stations.

Integrated barcode or RFID data links each electrical feedthrough to manufacturing parameters, cutting inspection effort while preserving traceability.

Remote temperature control triggers relay contact actions for online gas density calibration, avoiding hazardous on-site maintenance.

Motor current and temperature deviations across fixtured tightening tools reveal gear wear early, enabling maintenance only when needed.

One sensor switches radar or camera parameters by driving scenario, expanding ADAS coverage while saving vehicle space and control complexity.

A tiered resource manager and controller structure allocates power by aggregated state of charge to simplify control of large energy storage fleets.

A PTO-driven generator and inverter replace wet kits and drivelines, cutting hydraulic leaks, mechanical failures, and user error.

Mobile robotic transport replaces obstructive conveyors, routing each platform to inspection and repair stations based on its condition.

Reinforcement learning adjusts PID parameters by control phase to smooth cart and falling-object motion and improve gravimetric precision.

A shared identifier database and message brokers connect lighting, HVAC, and shades for remote control with simpler third-party integration.

Roadside and vehicle data are combined to detect when autonomous driving ODC exceeds its running boundary and identify the triggering object.

By overlapping initialization and learning, this motor controller cuts automatic command adjustment time while preserving evaluation from a defined start state.

Precomputed parameter sets let grid-forming inverters limit transient overloads, maintain synchronism, and avoid cascading instability.

AI-driven soundness indicators and flexible sensor triggers help predict plasma etching tool faults, cut downtime, and plan maintenance.

Multiple sensor and vision data are aligned with fiducial markers to map sheet-roll defects in real time and cut defective battery output.

Correcting external environment recognition data for real-time vehicle height changes keeps automated movement control accurate and reliable.

An expert system plus reinforcement learning cuts grid adjustment effort, speeds overload handling, and improves renewable energy absorption.

Plasma simulation estimates flux parameters before processing, improving substrate shape consistency in etching and CVD.

A stored-versus-current SOE check corrects the initial EV range display, improving startup accuracy and route planning.

A microcontroller starts vehicle image projection before the main control unit boots, then hands off for higher-power video processing.

Selective control of fixed-mode and changeable devices keeps demand adjustment within target ranges while limiting user discomfort and facility disruption.

Pipeline thermal storage shifts heating or cooling to low-demand periods, cutting peak power costs while maintaining target control values.

Cyclic plasma deposition, clear, and etch steps control bowing and local CD uniformity in high-aspect-ratio carbon etch features.

Comparing step times across substrate process logs reveals time-variable steps, helping reduce abnormal stops and improve throughput.

Correlation graphs from idle-period sensor data reveal substrate processing tool state and help flag issues such as heater or door faults.

Per-unit overload detection and cooling protect linear motor transfer paths from coil overheating without costly worst-case protection layouts.

Classified sensor plots reveal temporal changes in substrate processing data, reducing manual correlation analysis for maintenance and optimization.

Correlating foreign matter inspection data with battery test results predicts yield earlier and reduces unnecessary material discard.

Correlation-based monitoring of shared exhaust flow detects pre-abnormal chamber pressure states before damper limits cut substrate processing work rate.

Dual-path encoder data comparison detects interface hardware faults without redundant circuitry, improving servo reliability at low cost.

Virtual ID shifting links each battery cell to its process data across the line, improving quality analysis and degradation prediction.

Low-latency edge processing combines live and historical vehicle sensor data to predict component failure without full model retraining.

By excluding the mismatch-prone lane-line section after a lane change, vehicle positioning stays accurate without losing continuity.

A common-bus inverter with bi-directional DC/DC converters uses power droop control to switch solar and battery power quickly without delay.