Programme Control TRIZ Cases

See how a car-based terminal judges location and target appliances to enable single-instruction

See how multi-dimensional data models automate HVAC control program generation, reducing commis

See how dynamic electrochromic glass tint optimization balances solar heat gain, natural light,

See how a linear compressor uses the difference between suction and compression times to detect

See how a server-mediated thermostat system provides real-time ecorank feedback by comparing ho

Voice input captures item type, fabric, soil level, and color so the washer can choose a suitable cycle and flag conflicting garments.

See how a central controller uses scheduling and sensor data to activate HVAC, lighting, and eq

See how a control system detects user presence, retrieves preference profiles, and auto-adjusts

See how multi-zone occupancy sensors enable HVAC systems to maintain comfort in occupied areas

Variable fan speeds and staged burners adjust discharge air temperature, reducing stratification while supporting rapid furnace response.

See how individual output determination per heat source unit improves demand control responsive

See how a connected thermostat compares energy use with similar users in real time, displays ec

See how a television receiver assigns weights to HVAC sensors based on user preferences to opti

See how a thermostat estimates HVAC energy consumption from operating parameters like modulatio

See how a disaggregated thermostat uses occupancy detection and multi-zone sensors to optimize

A washer controller compares motor-speed deviation and power draw to detect imbalance and rebalance the load before cabinet strikes.

See how zone-based sensors and a central processing module use real-time ambient and device dat

Finite-state machines coordinate operating conditions and parallel component tests to shorten HVAC validation while maintaining system safety.

See how a cognitive service uses sensor data and user profiles to automatically adjust HVAC and

See how a self-learning HVAC thermostat transforms qualitative user feedback into adaptive comf

See how machine learning infers crowd size from social networks and adjusts venue temperature,

See how a portable terminal with image pickup overlays identification, operation, and abnormali

See how a room fitness instrument measures thermal comfort, air quality, light, and sound, then

See how autonomous thermal modeling learns heat transfer and occupant comfort without commissio

See how storing valve position in nonvolatile memory eliminates initializing operations, reduci

See how basis functions with inertial carryover components improve HVAC thermodynamic models to

Filter hardware, use values, and pressure-drop data balance replacement resource use against rising fan energy consumption.

Motor current reveals filter dirt buildup more accurately than service-time estimates, helping determine replacement timing and sustain effective air purification.

See how machine learning infers crowd size from social networks and trains on comfort data to a

See how hierarchical MPC segmentation reduces computational complexity in campus-wide VRF syste

See how progressive profiling analyzes occupant data and offers automated actions for confirmat

See how a manifold assembly with parallel fluid conduits reduces superheat controller calibrati

See how a water softening system reduces fabric greying by controlling hardness and enabling cu

See how automated unit attribute validation prevents sensor-to-equipment mapping errors in buil

See how sensor-based machine learning models detect fabric type and soil level to automate laun

Look-up tables adapt PID gains to operating conditions and historical data, reducing valve and fan oscillations in chilled water CRAC units.

See how a solid-state relay with integrated sensors replaces fuses to prevent short-circuit dam

See how delta temperature detection and trend-based analytics reduce false alarms while detecti

See how wireless schedule storage and one-touch switching resolve the time-versus-customization

See how dynamic air conditioning control calculates and compares settings for minimum power use

Known HVAC values are propagated through linear relationships before nonlinear solving, reducing computational resources for central-plant state prediction.

See how demand control ventilation uses scheduling and temperature sensors to estimate occupanc

See how dynamic compressor and condenser fan speed adjustment maintains HVAC cooling efficiency

See how a fan coil thermostat uses proportional and integral terms to dynamically adjust fan sp

Switch sensors learn household routines to detect adverse health events, send notifications, and activate surveillance devices without complex setup.

See how mode switching between space heating and water supply during defrost prevents freezing,

See how HVAC controllers use trigger detection and pre-loaded update files to enable automated

Runtime CML data models let HVAC control algorithms change without full rebuilding or BMS redeployment, shortening deployment cycles.

See how local sensors and controller placement inside the HVAC unit improve measurement accurac

Layered exposure shells and variable energy settings improve 3D-printed part tolerances, surface finish, print time, and warpage control.

Dynamic touch-spot reconfiguration and visual guidance extend time between users, helping inactivate pathogens and cut cross-contamination.

Dual GPIO input buffers switch between voltage domains to block static current draw when lower-voltage signals enter a microcontroller.

GUI templates and automatic device relationships speed load control setup and reduce manual configuration effort in large spaces.

Wireless transmitters switch network identifiers to simulate blast or hazard effects at distance, enabling safer, realistic field training.

Server-generated print paths use robot operation feedback to correct path errors in 3D printing and improve print quality.

Distributed tunnel nodes fetch overlapping or split content slices to balance traffic, reduce congestion, and improve delivery reliability.

A seeded building device broadcasts discovery messages to configure nearby unconfigured nodes, cutting setup time and manual access.

Short-range secure sessions capture industrial device settings and route modified configurations remotely, cutting update time, field access, and manual errors.

Sensor-driven build classification flags non-standard additive manufacturing behavior and triggers corrective actions to improve fleet reliability.

Visual signatures and validation checks help detect unvalidated cockpit setting changes before they create hazardous avionics adjustments.

Telemetry-based anomaly classification and class-specific diagnostics keep cyber-physical systems monitorable even when sensors are unreliable.

Intermittent EWOD actuation maintains droplet state while reducing electric field exposure that can damage reagents and shorten device life.

Post-processing recorded RPA events corrects target object types and removes noise events to produce more reliable automation scenarios.

Ideal-vector segmentation and probe-to-part vector alignment let a CMM measure complex surfaces with fewer wrist orientation changes.

Localized orbiting laser preheating improves FFF surface finish and inter-layer bonding, boosting part strength without post-processing.

Stem-aware nesting in sintered dental preforms shortens chairside restoration machining and reduces material waste without extra sintering.

A boundary processor lets machine control reuse safety-side signal conditioning, cutting redundant sensing, complexity, and certification burden.

Automated 3D mold generation preprocesses product files, detects defects before casting, and cuts lead time, labor, and material waste.

Removing noncompliant pores in curved sections preserves spacing constraints, reducing weak points in 3D-fabricated porous parts.

Independent sync units copy runtime data stepwise between redundant PLC subsystems while preserving write access and data consistency.

Background trigger monitoring lets a digital assistant launch RPA workflows automatically, reducing user input for calendaring, messaging, and expense tasks.

Combined 3D scanning and split detection re-optimize cant cuts after log shift to improve wood recovery, value, and throughput.

Account validation and self-service filling replace bottled water replenishment, cutting plastic waste while tracking liquid use.

Bidirectional inverters let EV charging station batteries power local AC loads during outages, avoiding separate generators and extra site space.

A GUI-defined slice pattern encodes nested contours and voxel material assignments for precise 3D-printed internal structures.

A spring-loaded multi-stop brake lets window shades hold multiple manual positions while supporting lower-cost comfort and energy control.

Probabilistic likelihood matrices estimate assignment uncertainty from test inaccuracies, restoring wafer traceability for memoryless semiconductor components.

Concentric arc displays map press slide stroke, sensor input range, and monitoring range to make accessory signal timing visible at high speed.

Sensors track airflow, particles, and filter loading so suction can adjust in real time and reduce harmful surgical smoke exposure.

Using self-attention and convolutional feature extraction, this case improves non-intrusive load decomposition accuracy and generalization for complex loads.

A smart gas IoT architecture adjusts synergist proportions and equipment parameters to match user targets, improve combustion, and cut emissions.

Content slices are fetched through intermediate tunnel nodes to bypass congestion, reduce packet loss, and improve delivery reliability.

Gravity-fed inline blending uses flow meters and a variable-speed pump to hold hydrocarbon mix ratios within 1% while cutting pump cost.

Motor current analysis detects shear events, fastener count, and size in a shear wrench without adding complex sensing hardware.

Curve-fitting selected tool path sections cuts NC computational load while preserving machining accuracy and reducing surface deviations.

By capping atomizer output at a safe maximum and warning users, this case prevents dry burning and extends heating component life.

Concentric arc displays map slide stroke, sensor input, and monitoring ranges so operators can verify accessory timing during high-speed press work.

Stepwise controller time adjustment absorbs global clock fluctuations and keeps local devices uniformly synchronized through periodic updates.

Automatic permission-based provisioning and revocation lets tenants wirelessly control partitioned building devices without on-site manual setup.

A central fulfillment and air-drop model cuts warehouse infrastructure while enabling same-day e-commerce delivery across large areas.

Modulated AC signaling over two-wire irrigation lines improves decoder accuracy, solenoid activation, and ground short detection.

Summary sensor data and digital twin comparison speed chamber fault diagnosis, cutting waste, downtime, and sub-optimal production.

Multi-layer pin extensions let spare cells reconnect during ECOs with fewer modified layers, cutting mask regeneration cost in IC layout.

Visible-light images are converted into 3D molds to make custom silicone replicas faster and at lower cost than metal tooling.

Deep learning forecasts rotary kiln accretion, flags high-risk operating regimes, and identifies variables behind buildup progression.

Mapping system variables let vehicular calibration signals be read, written, visualized, and modified without manual database handling.

Self-learning fuzzy logic turns pump operating data into explainable maintenance alerts, improving trust, timing, and reliability.

Prebuilt scanner jobs unify multi-system vehicle tests in one interface, cutting menu navigation time and reducing diagnostic selection errors.

Flight-specific engine models compare reference inputs across changing flight conditions to detect transfer-function shifts and cut false alarms.

Dynamic routing of specimen containers balances cell availability across detection instruments to raise throughput and limit temperature variation.

Encoder-based contact between the workpiece arm abutment and tool tip enables automatic tool length calibration without external gauges.

A cascaded fabrication and design model uses forward simulation and reverse error propagation to optimize electromagnetic device fabrication.

Continuous analyzers and flow feedback let pipeline operators blend petroleum streams in real time without stoppages or excess transmix loss.

Uses wake propagation delay to deliver a temporary active power boost from a wind farm without continuous curtailment for reserve.

Template-file comparison automates cross-checking of motion coordinates and compensation values, warning of abnormal control programs.

An independent monitoring circuit blocks bus communication during faults, allowing bus-coupled outputs to reach a safe state despite common cause failures.

Real-time user location and presence data reshape notification tiers so emergency alerts reach the most relevant recipients without delay.

Chewing data guides 3D food print patterns to balance easy ingestion with oral function training for elderly users.

Stored data from earlier recipe steps guides later process states, enabling flexible product changeovers without major hardware reconfiguration.

Gesture and image analysis guide a mobile robot tray to the right table height and position for direct article delivery without user handling.

Software robots connect directly to the operating system to automate penetration testing and report vulnerabilities, misconfigurations, and malicious activity.

Dynamic task propensity ranking helps factories reassign machines and resources when failures, absences, or emergencies disrupt production.

A virtual copy of the BAS control panel enables remote monitoring, command execution, and coordinated manual and automated operation.

Lighted status indicators around an electrical access handle show isolation state remotely, reducing high-voltage exposure and limiting access to authorized users.

Wireless actuator pressure diagnosis enables direct sensor analysis, lower retrofit cost, and earlier prevention of undesirable machine states.

Runout signatures from eddy current vibration sensors reconstruct shaft angle without hardware marks, cutting cost and avoiding shutdowns.

Color-contrasting identifiers printed on 3D parts enable in-facility sorting and tracking, then are obscured before shipment.

Integrated indexing and cut-out stations let moving fuselage sections form window and door openings with less transport, setup time, and waste.

Local oversight queues and data aggregation cut bandwidth use while speeding request distribution and updates for robotic fleets.

Pattern-based analysis reuses primary sensor data to monitor secondary food production processes with fewer sensors and better process control.

Centralized association storage preserves mixed device pairings and supports reliable series messaging for faster electrical load control.

A programmable delayed test clock compensates IO path latency so external debug tools can capture return data reliably at higher transfer rates.

Alternating high and low shower flow states keeps average water use within legal limits while preserving user comfort and spray performance.

Processors coordinate redundant surgical robot linkages to pivot at the aperture site, avoid manipulator collisions, and simplify setup.

A microprocessor-based PoE node keeps lights on during controller outages by running preset dim levels or local scripts.

A liquid loop heats or cools hardware before full power-on, preventing thermal stress and unstable startup in extreme temperatures.

Layer data are filtered to remove poor-quality regions and fused with sensor signals to build a 3D digital twin for in-line additive manufacturing control.

PID feedback compares actuator motion with controller output to auto-calibrate set points, cutting manual recalibration and dead band.

Ranks surveillance cameras by analytics suitability, coverage overlap, and adjacency to target the minimum upgrades needed for better detection.

A shared memory layout links applications across protected partitions, cutting system calls, processor load, and memory overhead.

Real-time vehicle-signal feedback guides autonomous cars through unsignalized intersections to balance safety, comfort, and traffic flow.

Set-difference and persistent-homology analysis identify AM under- and over-deposition, then tune process inputs to preserve part topology.

Probability distribution maps help robotic devices localize objects more accurately while cutting storage and processing demands.

A microcontroller-FPGA control unit adapts to different aircraft sensors and actuators while reducing cabling, weight, and hardware variants.

Semantic module data adds missing attributes beyond standard files, enabling automatic modular plant pipeline generation with fewer errors.

Neural networks predict casting deviations and adjust mold geometry and process conditions to cut dimensional errors and post-processing.

Adapts NC programs to the destination machine or tool stiffness so machining accuracy is maintained when programs are reused across NC machines.

When a sensor fails, two-stage candidate selection and similarity modeling rebuild virtual sensor data with lower computing complexity.

A modular robot rappels along wind turbine blades to inspect, clean, and repair damage faster with less human access and downtime.

Scanned cut-surface data morphs a CAD model to match the truncated component, removing transition steps and reducing post-processing.

Predicted program end times let machine control run safety diagnostic tests within required cycles without interrupting machining or manual scheduling.

Real-time saddle-position feedback adjusts dual drive motor torque and inertia ratios to keep gantry rails synchronized and prevent damage.

Wearable body temperature data is combined with indoor air readings to adjust thermostat set points around individual comfort changes.

Aggregating parameter names, values, and links into single buttons simplifies device maintenance on small screens and avoids deep menu navigation.

Wireless or image-based mold verification triggers paraffin flow only for the correct mold, improving embedding accuracy and technician efficiency.

A motor-driven release cam holds trap lines underwater and releases them on schedule, cutting whale entanglement risk without slowing trap retrieval.

Powered channel cutting integrates existing concrete cracks into decorative patterns, restoring flat surfaces while reducing replacement work and worker strain.

3D scan-guided adaptive machining corrects casting wall thickness variation, enabling thinner airfoil walls with less deformation, weight, and breakage.

Pixel-level height data is converted into slice images and control data, enabling accurate stacked 3D object formation on recording media.

Virtual machining updates chatter-lobe plots as part stiffness changes, selecting stable spindle speeds to cut vibration and tool breakage.

Pre-calculated focus, focal length, and exposure settings let a robot-arm camera capture accurately without slowing arm movement.

Machine learning links machine temperatures and installation conditions to guide-position correction, sustaining wire EDM precision as environments change.

Precomputed alternative motion profiles let NC controllers handle conditional branches without forced synchronization or execution delays.

Stored ambient temperature change curves guide selection of a pre-learned compensation model, cutting machine relearning time after relocation.

Mobile cameras and depth mapping locate shelf labels and product boxes to count inventory accurately without manual planograms.

Configurable metric definitions use search-time field extraction and asset hierarchies to analyze massive machine data across diverse sources.

A contact probe and flattened barrier layer capture head shape despite hair, enabling custom helmet liners with stable optical alignment.

Averaging device-specific integral terms prevents drift in parallel controllers, keeping shared motors or converters accurate and stable.

Hydrogen-treated and densified alloy wire lowers oxygen and volatiles, enabling dense, crack-free HEA and MPEA printed parts.

A learned scan-parameter dictionary maps geometry features to optimized AM settings, cutting trial builds, material waste, and development time.

Distributed process-ID mapping and sorting enable real-time correlation analysis of noisy continuous factory data across multiple processes.

A two-step land-and-tap touch sequence helps dense industrial HMIs avoid accidental command activation and improve operator reliability.

Debug points link control actions to sub-process sensor data, enabling anomaly detection across multiple physical processes without expert sensor selection.

Sensor-based risk indexing forecasts component remaining life, helping wind farms schedule maintenance and avoid unplanned shutdowns.

Finite element mesh deformation lets lattice cells match complex part geometry without truncation, reducing stress concentrations in additive manufacturing.

Projected product outlines let operators align parts on remainder material, avoid holes, and generate corrected laser processing data.

When a target screen requires occupied operation rights, the controller skips it and switches to an available screen for secure reference access.

Coordinated damping signals across selected wind turbines suppress mechanical oscillations while keeping total control action below grid limits.

Changeable orifices and a spring steel valve enable patterned multi-material extrusion with less cross-flow contamination and faster 3D printing.

Sensors on a deformable arbor end measure cutting and guide forces, enabling real-time feed speed control for truer, more consistent lumber cuts.

Workpiece defect data and machine status similarity are used to recommend maintenance before machining defects spread across similar machine tools.

Extracts operator intentions from DCS event logs and clusters abstracted operation sequences to standardize manual procedures across varying conditions.

Automatic sync uploads modified source code when executable machine code is stored, reducing overwrite conflicts and manual version handling.

Shared upload data is filtered to remove sensitive information, letting local controllers reuse field-device optimization results securely.

A capacitive electrode on the robot exterior avoids cushion-induced sensor errors while enabling reliable proximity and contact detection.

Intrinsic non-planar univariate paths replace planar slicing to cover 3D volume within tolerance and improve surface finish and strength.

Machine learning and robotic electrode motion improve current distribution in electroforming, cutting trial-and-error and thickness variation.

Separate control and termination modules let one RTU I/O platform fit multiple field devices, cut replacement downtime, and isolate surge damage.

Virtual device templates and binding tables speed smart lighting commissioning in redundant building sections while reducing setup errors.

Machine learning links vessel variables with operator feedback to cut false alerts and warn of abnormal trends before failure.

A communication-linked meter assigns time- and device-based energy rates without separate circuits, cutting rewiring cost and improving billing accuracy.

Intentional force on specified robot zones is used to restart motion, preventing accidental commands without separate restart buttons.

Motor current pattern analysis distinguishes high and low end stops automatically, cutting setup time and mechanical stress.

Distributed sensors and data analysis detect lights, windows, heating, and device status to keep unattended buildings secure and energy-efficient.

Real-time crack detection triggers movable catching devices that clamp and travel with the conveyor belt to prevent breakage downtime.

RFID readers track mold location and movement to trigger early setup actions, cutting production plant startup delays.