Programme Control TRIZ Cases

See how a centralized controller monitors multiple washroom dispensers for product levels, malf

See how intelligent controllers use sensor feedback and stored rules to detect entity presence,

See how detachable sensor packages monitor temperature, light, weight, and gas to track food fr

See how liquid level switch state, outdoor temperature, and operating mode determine water pump

See how real-time feedback on thermostat settings uses positive and negative images to engage u

See how dual safety components in series prevent appliance overheating by providing backup prot

See how a ventilation controller calculates target exhaust volume and adjusts fan operation to

See how combining motion, video, and mobile sensors with reliability scoring enables predictive

See how a thermodynamic model integrates occupancy, internal heat sources, and environmental da

See how a portable operating device enables manual mode switching between home and away setting

See how a hinged mounting plate enables thermostat pivot access while integrating touch display

See how a remote contractor system monitors multiple HVAC controllers, generates alerts before

See how discrete wireless controllers coordinate multiple air conditioner units using occupancy

See how wireless closed-loop feedback verifies adjustable bed position by comparing sensor data

See how near field communication interfaces enable automatic pairing and identifier assignment

See how mobile-tracked occupancy estimates replace rigid HVAC schedules, enabling zone-specific

See how dynamic capacity adjustment based on temperature change rate prevents rapid stage switc

See how distributed server inlet sensors enable real-time average temperature calculation and d

See how temporary logical addresses enable offsite management of multi-unit air conditioning sy

See how a dual control unit architecture enables continuous sensor operation during appliance s

See how a sound controller uses regression models and dynamic compressor and fan speed adjustme

See how stopping the heat pump during mode transitions prevents temperature-induced damage whil

See how an adjustable jig with optical sensors and computer modeling captures precise user dime

See how RFID wristbands track consumer movement and enable cashless payments at festivals, solv

See how a data acquisition subsystem learns user behavior and environmental patterns to generat

See how an intelligent refrigerator automates mode adjustment based on user meal lists, schedul

See how GPS-based location registration and automatic apparatus identification enable users to

See how automatic program display sorted by frequency of use, time of day, and season reduces s

See how distributed appliance decision-making and centralized orchestration cap aggregated HVAC

See how a dual-protocol controller enables ganged control of air-conditioning facilities and ge

See how a case-pair database and ranking engine deploy HVAC resources across buildings by compa

See how oscillatory forward-backward trajectories with repeated passes allow cleaning solution

See how acceleration sensors detect sleep restlessness and feed body-movement data to a visual

See how a preference-function approach replaces rules-and-exceptions learning to reduce schedul

See how a watchdog IC and logical conjunction latch circuit prevent unintended heater activatio

See how optical sensor recognition of graphic codes enables a beverage machine to work with cap

See how a capacitive touch screen HVAC controller integrates limit functions, energy tracking,

See how a personalized interface plug-in enables multiple terminals to share customized control

See how a master-slave controller hierarchy optimizes HVAC energy costs through incremental var

See how GUI software enables effortless panel replication with automatic device association, re

See how real-time visual icons and periodic summaries guide thermostat users toward energy-effi

See how wireless transceivers enable HVAC actuators to auto-select master or slave modes and al

See how Bluetooth speech data packets enable remote control of plumbing fixture functions like

See how predefined function blocks and generic menu templates enable automatic UI generation fo

See how sensor-based occupancy monitoring and rule analysis enable automatic thermostat and lig

See how a rail-mounted movable camera expands view angles and eliminates blind zones to improve

See how mobile-device feedback with weighting factors enables building systems to adapt HVAC co

A command-history workflow lets users revisit print states, update toolpaths, and compare 3D printing strategies with visual feedback.

Blending live sensor feeds with historical well data enables real-time benchmarking and drilling adjustments that cut non-productive time.

By calculating upgoing rotational waves and minimizing reflected downgoing energy, this control approach reduces stick-slip without lowering drilling speed.

Two-input activation and integrated safety monitoring protect operators in material testing while reducing reliance on external safety components.

A central console unifies lighting, shading, security, and climate control to cut installation complexity and support easy reconfiguration.

A single oversized MIM blank is CNC milled in the green state before sintering, cutting watch part tooling cost and lead time.

A virtual-mass headrest control tracks operator head motion to keep medical displays aligned, reducing fatigue and preserving stereoscopic viewing.

Automatic backup, change detection, and user notifications help track industrial machine setting edits and compare pre- and post-change data.

Rule-based validation and automatic code updates help prevent incompatible automation edits, maintain naming consistency, and cut downtime.

Facial recognition identifies patients who cannot communicate, while segmented EMR access and one-way image security protect privacy.

Control program blocks are split into deployable software units, cutting PLC memory load and speeding updates across virtual and physical devices.

Real-time drilling data and historical well performance are used to predict time and cost, then update the drilling path to reduce errors.

Cutting shared operating-fluid supply drives multiple actuators to a safe state, limiting damage from cyberattacks or control failures.

Repeated high-energy scans keep selected powder-bed regions above melting point, improving layer adhesion and build speed without overheating.

Pin-based model detection lets one ejection sequencer and harness support multiple seat and aircraft combinations while preserving sequence timing.

Sensors and AI coordinate docked lighting, sound, climate, and fragrance outputs to match occupant location while cutting energy waste.

By placing the controller inside the IGU, EC windows avoid remote wiring mismatches, cut installation cost, and improve pane control precision.

Onboard cameras and AI classify street cleanliness, damage, parking, and snow so cities can monitor conditions without extra hardware.

Regression models predict overlay correction effects and update sample shot region selection in real time, reducing measurement time while preserving alignment accuracy.

Area-based visual pairing uses controlled flash profiles to identify lighting fixtures and cut setup time in load control systems.

A hub-based handler layer normalizes device messages for remote monitoring and control without adding full Internet networking to each device.

Visual stitch indicators and automated valve positioning reduce operator strain while improving prosthetic heart valve suturing precision.

Separate control and device-information paths let distributed control networks collect data without disrupting real-time communication.

Selective port emergency stop isolates faulty microcontroller ports from safety alarms, avoiding full shutdowns and preserving operation.

A universal WiFi control module adds remote garage door monitoring and operation to existing openers without full replacement or separate wall switches.

Weight, rotation-rate, and timestamp data are combined into a feed mixer mixing profile for remote diagnostics and setting support.

Baseline and current sensor data from a test-page object reveal drift in additive manufacturing machines and trigger automatic calibration updates.

By combining service life estimates with procurement lead time, the machine prompts part replacement early enough to avoid downtime.

Multiple search units adapt and exchange temperatures to avoid local minima, improving discrete optimization accuracy without long runtimes.

Fingerprint-triggered credential release and account switching cut repeated inputs, improving security while saving user time and battery power.

Dual nonvolatile and volatile memory lets slave IDs update quickly, flags reboot needs, and reduces setup errors during factory changeovers.

Cloud-hosted RPA design removes local installs, centralizes updates, and deploys automations to sessions, VMs, and containers.

A motor-bypass spring arrangement uses telescoping mechanics and springs or fluid to keep load handling working in a compact footprint.

Production data and inspection feedback let a virtual inspection model detect new fault categories and retrain automatically without manual updates.

Only safety-critical image subsections are captured and processed along a vehicle route, cutting compute load and improving tunnel and fog data usability.

Thermal, vibration, and camera data track conveyor brush conditions in real time, enabling predictive maintenance and less downtime.

Centralized URL rewriting lets fleets of remote displays receive coordinated content updates with lower update effort and timing delays.

Impact-score-based feedback requests help automation settings distinguish contextual changes from noise while limiting user burden.

Electronic angle sensing replaces dirty reference scales, guiding rotary workpiece positioning and preventing incorrect machining.

Signal filtering separates true cutting-edge shadows from chips, fluids, and vibration to improve rotary tool measurement and control.

Real-time weather, geofencing, and mobile overrides let one controller adapt temperature and resource schedules across locations.

Temperature sensing lets the controller identify swapped hot and cold inlets, simplifying digital shower installation without pipe reconnection.

Generative CAD uses in-use and machining load cases to create 3D geometry that withstands subtractive manufacturing forces and reduces rework.

A server-guided mobile interface lets operators match jobs with available master devices, easing remote construction machine scheduling.

BIM-guided robotic drilling improves ceiling and wall hole accuracy while isolating vibration and collecting dust on construction sites.

Parallel subperiod scheduling lets shorter actuator actions start earlier, cutting wait time and total machine operation time.

Visualization groups and prioritizes manufacturing conditions so engineers can trace abnormality causes across complex production data.

Context-aware XR presents only location- and task-relevant industrial machine data, reducing user overload while improving guidance.

Separating actuator, instrument, and process models enables realistic signal and interference simulation for MSWI MIMO PID loop verification.

Precomputed minimum separation distances let independently movable packaging objects reposition safely despite changing geometry and orientation.

A distributed ledger records process plant transactions immutably, enabling secure machine-to-machine exchanges and product quality verification.

A gateway links yard sensors and adaptive watering equipment to automate irrigation, improve monitoring precision, and reduce manual adjustment.

A server-defined blast list lets embedded controllers multicast high-value process data to many clients without adding controller resource load.

Separate control and safety processing lets one unit stop for updates while abnormality detection preserves secure drive-target operation.

Modulated multi-material interfaces in 3D object data create interlocking regions that strengthen weak boundaries without redesigning the model.

Robot arms use vision and force sensing to assemble varied subcomponents without dedicated fixtures while maintaining precise positioning.

A robotic vehicle combines distance sensors, wheel encoders, and IMU tilt data to calibrate storage tanks quickly without invasive downtime.

Integrated machining simulation previews the final profile before sanding or gouging, reducing setup time and material waste.

Brightness and network topology data let room controllers self-locate in a BIM model, cutting manual setup errors during building changes.

Placing high-power computation in a benign zone while keeping local I/O near the engine improves throughput, upgradeability, and cybersecurity.

A stage-synced ranged imaging unit tracks moving vehicles to capture dimensional data faster and more safely than robot-mounted sensors.

Digital 3D mold generation replaces manual patternmaking for custom bronze memorial casting, cutting labor, waste, and lead time.

A reference structure mirrors the mating airframe section to position components accurately, reducing shimming and dedicated tooling.

Pre-compensated 3D model transformations and slice generation reduce edge and surface distortion in additive manufacturing.

Modular low-profile pods increase support density for thin and complex CNC parts while reducing cables, retrofit height limits, and deformation risk.

A reorienting flange and air-cushion carrier simplify precise surgical robot positioning while reducing interference, noise, and particle turbulence.

Two aircraft split tracking and imaging roles to keep target location reliable while capturing clear detail features at low altitude.

By predicting when a prior process will finish from measured values, the machine starts the next step earlier and reduces setup delays.

Operators can graphically select and modify machining blocks for partial or reverse execution, helping avoid collisions and wrong tool use.

A VIN-based host device uses a VEC file and remote server access to deliver vehicle diagnostics and control with low local memory use.

2D arch images and virtual acquisition matching correct defects in dental 3D models faster, reducing rescans and treatment delays.

An integrator converts pump advisory statements into SCADA action plans, cutting manual intervention and improving real-time oilfield control.

Load cells, door sensors, and cloud analytics automate food waste weight tracking for accurate reporting, cost analysis, and footprint monitoring.

Compares site-specific malfunction ratios with model-based failure probability to flag installation sites that distort process device reliability.

Range imaging and order data combine to measure package dimensions accurately and give workers real-time handling feedback in material handling.

A controller selects clutching locations from user input and drive position to keep guidewire motion continuous despite finite travel limits.

A layered metal card uses a plastic and insulating structure to isolate the antenna from the metal sheet and improve contactless RF sensitivity.

Photodiode and pyrometer data with ICME-trained neural prediction enable real-time defect detection and material property estimation during metal AM.

A separable memory PCB in the ECU withstands vibration yet allows safe removal and standard pad-array readout for data retrieval.

Virtual pressure-event mapping derives machine-independent injection molding parameters without cavity sensors, reducing tool cost and easing machine changes.

Independently switched detection, control, and monitor blocks cut PoE PSE standby power while preserving powered-device detection and wake-up.

Serial number matching between main and sub control boards blocks pirated replacements and prevents sporadic appliance behavior.

Low-speed trigger checks start and stop high-speed machine tool sampling, cutting process and network load without missing key measurements.

Dynamic PID steering angles compensate for speed, turning radius, and path offset to keep autonomous vehicles aligned around obstacles.

Multi-parameter models trace facility anomalies to adjustable parameters, enabling faster recovery to normal operation and higher availability.

Passenger IDs and preference profiles let elevators group like-minded riders and deliver relevant content without sacrificing dispatch efficiency.

Real-time load feedback and simulation adjust cutting fluid flow and pressure to cut fluid use while protecting tool life and surface finish.

T-bar and V-block registration with a linear ball slide aligns a centrifuge rotor index angle to a robotic end-effector for accurate tube handling.

Tunnel devices fetch content slices through multiple intermediate paths to reduce congestion, packet loss, and out-of-order web delivery.

Multiple machining-specific learning models are switched by operating conditions to improve tool wear and breakage detection accuracy.

Sensors track assembly deviations at each step so the control system can adjust end-effector actions and keep the built structure aligned with design intent.

Deep learning proposes and ranks organic synthesis pathways by cost and feasibility, cutting manual literature review in drug discovery.

By showing only valid measurements for selected features, this CMM interface reduces tool confusion and speeds accurate inspection planning.

Multiple wireless transceivers in an in-wall gateway let guest devices control room amenities while supporting geolocation-based safety tracking.

Multiple sub-sensors let one door and window sensor identify its installed hardware type, cutting inventory complexity and easing maintenance.

Pre-loaded bins and robotic retrieval bring the right SMD tape reels to the output port, cutting SMT setup time and loading errors.

Mahalanobis distance and operable time are combined to judge safe turbine over-firing while limiting component damage risk.

A master RTOS core stays intermittently awake while a slave OS core enters deep sleep, cutting power use during outages without losing critical operation.

By comparing pH and temperature before and after fluid heating, this case maintains downhole-targeted pH and helps prevent corrosion damage.

Continuous toggle-signal monitoring detects latent faults during normal operation by checking master and comparison signal correlation in real time.