Programme Control TRIZ Cases

Spring power patterns and a Household Efficiency Score help classify residential HVAC inefficiency before costly summer operation.

See how a controller selects from five cooling device types based on supply air position relati

Dynamic temperature settings and air-conditioning load control conserve heat-source energy without prolonged room discomfort.

See how automated server-based analysis of operational data enables continuous HVAC parameter o

See how facility-based occupancy patterns and zone matching predict thermal load demand in mult

See how load prediction models and automated fault diagnosis replace manual commissioning to re

See how a contactless sensor interface replaces mechanical buttons with proximity and gesture d

See how a cloud-based HVAC control system enables remote algorithm updates and continuous optim

See how an integrated image sensor classifies fabric delicateness to auto-adjust iron temperatu

See how hierarchical master-slave wireless nodes reduce routing table storage and calculation l

See how variable opacity regions guide users between occupied and unoccupied modes, reducing co

Adaptive characteristic data detects air conditioner deterioration across changing loads and clarifies when maintenance is needed.

See how unique identification codes transmitted to user terminals and verified at pickup preven

See how an integrated image sensor and illumination system enable automatic fabric detection in

See how a monitoring device combines neural networks for parameter estimation and Bayesian netw

Pressure changes trigger automatic refill after the mattress is empty, while a central controller restores the initial pressure setting.

Machine learning combines particulate matter, VOC, and humidity data to identify pollution sources and forecast indoor exposure.

See how a controller compares current and previous telemetry data, transmits only changed param

See how an electronic control system maximizes photovoltaic surplus power by dynamically supply

See how cloud-based bulk tagging and pre-stored analytical rules reduce HVAC data processing ti

Wine label and open-status recognition lets the refrigerator group bottles by storage condition and set each compartment’s temperature automatically.

Historical sensor data guides chiller setpoints and closed-loop adjustments to reduce cooling-system power consumption.

See how visual power consumption ranges adapt to aging components, enabling users to balance co

See how semantic mapping between occupancy sensors and HVAC devices enables zone-specific clima

Occupant voting and proxy models combine comfort preferences with environmental data to guide zone-level HVAC control efficiently.

See how gradient-based sensitivity analysis isolates influential HVAC control variables to redu

Physical pushbuttons retain haptic feedback while matching display pictograms to assigned medical appliance components, reducing control errors.

See how priority-based load segmentation and dynamic power thresholds reduce processing demands

See how IoT temperature sensors and automated defrost cycle analysis predict refrigeration fail

See how a cloud server monitors air and water quality from home sensors, then prompts users to

See how timer-based shutdown and communication module power-off reduce standby energy waste and

See how a controller estimates total operation and renewal costs using performance data and ope

See how utility billing data replaces invasive energy audits to calculate building thermal para

See how a multi-stage damper with adjustable apertures and closed-loop control achieves turndow

See how sensor-based entity identification and role assignment enable automated environmental a

See how a portable thermostat paired with a control base enables area-specific temperature and

See how device controllers process and store HVAC time-series data locally, while a BMS control

Predicted crowd size lets a comfort controller pre-adjust event venue temperature, lighting, and sound before conditions change.

See how control information items about machine program structure combined with sensor feedback

See how segmented dashboard, equipment, control, and alarm zones display comprehensive HVAC dat

See how dynamic evaporation temperature adjustment based on total cooling load reduces compress

See how a machine learning BMS predicts TPH faults, generates work orders, and adjusts HVAC dyn

A switching power module replaces resistive voltage division to cut heat and power consumption in air-conditioner communication loops.

See how electronic invitations grant contractors secure remote access to HVAC systems, enabling

See how capturing user satisfaction feedback enables automatic optimization of dishwasher cycle

See how combined PID and feed forward control stabilizes pressure differences across outdoor un

See how a control module bridges infrared remotes and ductless HVAC systems, enabling smartphon

See how an intelligent thermostat learns zone thermal profiles and dynamically adjusts HVAC sta

See how a control board detects connected electrical elements to auto-select the correct operat

A two-stage forming and machining route improves inlet lip skin repeatability and accuracy while avoiding corrective surface treatments.

Real-time analysis of building equipment data flags rule violations early, reducing manual HVAC monitoring and speeding maintenance response.

Stored shape restoration data lets a detachable pallet stay transportable while preserving stable conformity for varied and fragile workpieces.

Model waveform matching identifies screwing progress from motor signals, enabling faster tool response without extra sensors.

Predict defect locations, sizes, and thermal interactions in multi-laser powder bed fusion before printing to cut trial-and-error.

Motor position error signals are filtered in the frequency domain to detect chamber vibration faults without added sensors or hardware.

Avatar templates structure industrial asset models and operational data flows, reducing IIoT modeling complexity while keeping simulations accurate.

Statistical backup path selection helps MES reroute wafer lots between fab sites, improving tool utilization, throughput, and cycle time.

Dynamic machine-readable maintenance codes replace manual tool records, improving service-life tracking and reducing unexpected downtime.

Transforms lens or mold measurement data into a polar referential so reproducible machining defects can be identified despite geometry variation.

Preclassifying input data and comparing two inference times lets control engineers estimate worst-case tree-model latency without repeated testing.

Nonlinear optimization replaces brute force variable searches to improve industrial process circularity with faster, constraint-based decisions.

Standardized Single Pair Ethernet modules replace proprietary backplanes, easing multi-protocol field device expansion and integration.

Continuous sampling, measurement, analysis, reporting, and actuator feedback keep pH, EC, temperature, and liquid levels stable.

Integrates as-built and real-time operational data into entity-level digital twins, enabling AI-driven building decisions in 2D, 3D, and AR.

Sensor feedback adjusts melting water release to snowfall and temperature, enabling portable snow melting with less manual intervention.

Automatic status broadcasts alert users to appliance changes like low water or cycle completion while avoiding repeated notifications.

Metadata tagging and brokering enable secure multi-tenant data sharing across facilities while AI infers manufacturing status for planning.

Min-max checks alongside averaged trend points reveal missed secondary alarms and improve long-period process forecasting.

Dedicated hardware monitors MCU configuration registers with checksum comparison, catching bit flips within tight FTTI limits without CPU overhead.

Sensor patterns flag likely 3D printer subsystem failures early, so replacement parts can be assigned before downtime disrupts production.

Software containers move analytics and control into the OT network, cutting latency and bandwidth use while expanding controller capabilities.

Mobile autonomous devices combine sensor, historical, and site guidance data to detect equipment anomalies and trigger inspection or maintenance actions.

Segment-based scan parameter selection balances build speed, mechanical strength, and quality in additive manufacturing.

Transmission path characteristics are assessed in advance so automation data can be rerouted or reduced to avoid delays, blockages, and loss.

A shared calibration database lets agricultural NIR sensors adapt to changing crop and environmental conditions while keeping results comparable.

Automatic guide parameterization uses system and CAD models to prevent container collisions, cut setup errors, and speed changeovers.

Machine learning predicts user-surface proximity to trigger the right wearable ultrasonic or infrared module with lower system load.

Preplanned vehicle tracking and drone search help locate outdoor users when phone battery is low, coverage is poor, or no response is received.

Compares fault-based and threshold-based risk levels across asset portfolios to flag issues faster and reduce downtime.

A hierarchical central-local network uses synchronized timing to keep multi-rotor wind turbine safety functions deterministic during coordination and maintenance.

A neural-network digital twin estimates when EO reactor parameter changes will affect process data, improving catalyst tuning in real time.

One phone acts as hotspot and cloud link, letting a self-propelled cleaning device pair and run without fixed Wi-Fi.

Digital image analysis matches similar field sectors so center pivot irrigation treatments can be compared fairly on less acreage with lower trial cost.

Links test signal output states with reception images by ID and time to improve loop test traceability and reduce worker error.

Users can add and edit motion control commands through separate command libraries, extending PLC functions while blocking unsafe firmware API use.

Continuous 3D workcell monitoring checks sensor validity, tracks workspace changes, and issues alerts when image data becomes unsafe.

A virtual circuit map guides a robot probe to PCB test nodes, improving signal capture in dense or hazardous measurement setups.

Submerged pool-wall sensors use power-line communication to avoid RF and battery issues while enabling accurate continuous water monitoring.

A messaging server decouples sensors and control sites to cut latency, improve resilience, and simplify remote fluid-handling operations.

Microservices, Avatars, Automatons, and Shareables unify isolated automation systems for real-time IoT interoperability across maintenance, logistics, and production.

By using part geometry, pattern data, and part positioning, this case expands usable laser machining volume for larger 5-axis parts.

A single camera compares target and actual tool states to avoid acoustic interference, detect defects early, and reduce machining rejects.

Slave devices expose node address storage regions so low-memory master controllers can configure field networks without prior model data.

Physical logic gates and selectable inputs let one control circuit handle spring-return and double-acting valve actuators without rewiring.

A layered retrofit panel senses manual switch use, learns actuation patterns, and corrects state mismatches without rewiring legacy controls.

A pseudo temperature parameter combines measured temperature and power load to set fan speed, balancing cooling and fan noise.

AI models plant layout, wind, and sensor sensitivity to place fewer sensors for real-time fugitive emissions detection.

Dynamic exchange orders use feeder state and mounting conditions to keep automated collection and replenishment reliable during schedule changes.

Machine-readable codes on automation components enable secure, scalable digital twin assignment with less manual effort and fewer errors.

Real-time sensor data and property prediction models adjust AM build parameters during printing to reduce scrap and avoid costly post-build testing.

Synchronized controllers send non-overlapping PWM signals to one actuator, maintaining stable operation without redundant actuators.

Selective feedback filtering blocks abnormal positional deviation data, helping component mounters avoid accuracy loss from foreign substances.

Predefined IEC 61499 asset models map to plant devices to auto-create distributed control applications with less engineering and faster commissioning.

A hierarchical controller split keeps hardware assets running during upgrades and network loss by shifting real-time control to local controllers.

Simulated alternative state records help an autonomous unit trace deviation causes faster and more reliably than manual analysis.

Sensor-based pet activity recognition combines SVM and complex event processing to detect separation anxiety and trigger timely interventions.

Voltage sensing at the supplier node detects resistance changes and lowers current to prevent overheating, rust, and electrolysis.

A digital twin and neural network tune mobile phone screwdriving parameters in real time to improve assembly precision and consistency.

Test pulses, current measurement, and I/O status checks pinpoint whether wind turbine control faults are in cables, transducers, or the control unit.

Gravity-fed inline blending controls hydrocarbon mix ratios in one pipeline, cutting cost and holding errors within 1% of set point.

Real-time AR tooling replaces jigs and fixtures by projecting CAD-based alignment guides and feedback for accurate component assembly.

Compares sensor installation data with local patterns and user preferences to flag abnormal setups while reducing false alarms.

Template-based framing converts plot limits and user edits into accurate bills of materials and pre-assembly plans with less manual estimating.

Dominant-reference grouping and recirculating shipping loads cut picking errors, operator workload, and equipment movements.

An energy control layer uses process signals to switch plant subsystems into reduced-energy states without slowing future production.

Raised 3D barcode patterns made by additive manufacturing improve contrast, preserve surface aesthetics, and enable reading from either side.

Conditional pre-recorded boom and harvester-head functions improve felling timing, safety, and visibility-limited operation.

Regression-based prediction corrects encoder position drift from assembly and environmental errors while preserving accuracy over time.

Motor speed feedback and temperature sensing let the dispenser adapt setpoints in real time to keep viscosity and product quality consistent.

A property analysis module predicts weight, strength, and conductivity, then adjusts slicing and tool paths to meet 3D printing requirements.

Reorienting gas flow with the build unit keeps airflow perpendicular to changing solidification lines, improving AM microstructure and defect control.

Model-free reinforcement learning monitors product state across stations and adjusts process parameters to correct quality drift in real time.

Inline graphical literals in the code editor let developers view and manipulate images, colors, and files while preserving compiler-readable source.

Hygroscopic rainfall sensing pauses irrigation at set accumulation thresholds and restores schedules after drying to reduce unnecessary watering.

NC torque commands and position feedback reveal worm gear indexing errors quickly, avoiding manual rotary encoder checks.

Mixed integer programming groups PCB types into setup families so at least one setup table stays constant, cutting changeover downtime.

Dynamic constraint setting and prediction-based adjustment help plants optimize fuel and air distribution to cut NOx without conflicting with existing control.

Correlates anemometer readings with generator speed across wind ranges to correct yaw misalignment and improve turbine power capture.

Real-time sensor feedback tracks byproduct composition during metal AM and adjusts feed chemistry to prevent volatile element loss and part variation.

Wireless transfer of selected machine data to a separate e-paper screen removes handwritten notes and speeds on-site maintenance access.

Periodic gateway and access-node metrics reveal traffic, interference, and link bottlenecks to maintain field device connectivity.

A CAIS-based policy iteration keeps machine states and inputs within limits while learning control from operational data.

Time-based thermal mapping places heat sink supports at additive manufacturing hot spots to reduce distortion, residual stress, and excess material use.

Virtual machines let one robot switch functions on demand, overcoming dedicated-resource limits across changing tasks and environments.

A holder with wireless links lets a smartphone evaluate vehicle status and control components, cutting cost and avoiding brand-specific connectors.

Dynamic firmware modules let field devices detect machine applications, self-configure functions, and balance hardware resources with less user intervention.

A sync character is inserted into the serial data stream by delaying the next data sequence, keeping peripheral communication continuous and precise.

Separating spindle, holder, and table vibrations with FFT and machine learning helps predict machined surface defects before inspection.

A PLC application manager pulls and removes functions from a remote marketplace to cut downtime, manual access, and resource use.

Remote control and feedback govern vaporized medication timing and dose, reducing supervised administration time while maintaining compliance.

Dynamic blade speed profiling balances cut quality, throughput, and servo motor heating in scanned food portioning lines.

Sideband host card signals let a motherboard-less expansion chassis handle power and cooling without a local management controller.

Server-side media pushing uses client VR capability and viewpoint data to cut round-trip delay during 360-degree video angle changes.

Automatic halftone selection links 3D object properties to deposition patterns, improving conductivity, density, appearance, and material use.

Welded multi-piece rotary joints cut portable CMM weight, while articulated arm error mapping corrects welding imprecision for accurate measurement.

Centralized mapping of power supply components to control applications enables coordinated shutdowns that reduce data loss and communication load.

Continuous scan lines with region-specific beam settings reduce thermal gradients, stress, and solidification time in metal additive manufacturing.

Predefined model templates let an industrial gateway extract and normalize only relevant data, reducing storage load and spurious AI insights.

A design engine splits complex polygonal meshes into simplified and complex regions to combine traditional and additive fabrication more efficiently.

A slave machine control system uses encoder pulses to maintain synchronization with a master blow molding unit.

Dynamic fan rotation control minimizes vibration transmission to the machine support, preserving machining accuracy during precision operations.

Switching unit assigns delay memory to learning controller based on access speed, reducing high-speed internal memory capacity and cost.

A hierarchical system architecture segments program pages and parameters into distinct functional levels to simplify operator navigation.

A watchdog processor monitors engine speed to verify main processor function in marine drive-by-wire systems.

A dual-path signal processing apparatus converts encoder sine-wave signals into digital data and square waves for precise motor speed determination.

System adapters monitor process chambers and communicate readiness signals to abatement systems for low power mode activation.

Dynamic MOSFET switching minimizes power loss while maintaining reverse-polarity protection for reliable vehicle control unit operation.

Hardware finite state machines process multi-channel signals to detect complex patterns, eliminating blind time in oscilloscope triggers.

A control method for HVDC transmission links modifies virtual admittance to manage active power flow.

A control device integrates an operator interface and reservoir area for managing production machine configurations directly at the source.

Segmenting safety functions into self-sufficient islands resolves project planning complexity while maintaining fast, independent control responsiveness.

A speed detection apparatus uses two phase-shifted Hall sensors to calculate rotational velocity via vector summation of differential signals.

A software-based simulation system replaces physical hardware to test multiple ECUs asynchronously, reducing device cost while maintaining testing accuracy.

Sensors measure moving pillow bag dimensions to adjust robot positioning, resolving manufacturing precision issues caused by variable bag sizes.

An IoT apparatus correlates motion sequences with user events to preemptively trigger device actions without direct interaction.

Processor manages virtual energy sub-partitions within a shared battery to enable direct user-to-user trading without physical transfer.

Angular measurements and object records enable precise robotic navigation, eliminating expensive sensors while ensuring authorized task execution.

A removable connection socket stores configuration data in non-volatile memory to transfer settings between control units.

Mobile electronic device couples to field device digital process communication channel to initiate client software application.

Portable communication device manages biometric templates for vehicle access, resolving complex data transfer bottlenecks during fleet user reassignment.

A mobile object system verifies measurement data using sensors to ensure stable operation.

A distributed access control system monitors connectivity between central coordination facilities and remote databases to detect communication interruptions.

Mounting intrinsic safety barriers on terminal blocks consolidates multiple channels, eliminating separate cabinets and reducing space occupation.

A visual programming system uses drag-and-drop icons to control robotic toys through a cooperative user device interface.

A self-calibrating demodulator adjusts sampling phase angles to detect peak-to-peak voltages in linear voltage differential transformers.

Dual management cards use frequency-based heartbeat signals to manage mastership transitions in multi-device systems.

A fixturing device positions oversized workpieces within compact CNC machines using high-precision probes to track shifting.

Computer process determines position parameters by minimizing differences between nominal and measured surfaces.

A modular valve assembly uses a control device to switch pressure levels across independent module groups for energy reduction.

A coordinate positioning probe calculates an optimum stand-off distance using measured acceleration characteristics to reduce cycle times.

Diagnostic tool extracts critical health indicators from operational signals to identify root causes of faults in complex reactive systems.

A remote enabling device evaluates machine-specific data to transfer authorized enabling data, preventing unauthorized manipulation of spinning-mill functions.

A machine tool spindle head estimates tool weight using detected load torque and stored relational data.

A single watchdog monitors multiple microcontrollers by aggregating communication contributions from each unit within a predefined time interval.

A reconfigurable FPGA motor controller connects to vehicle systems and determines control modes via communication inputs.

A textile assembly integrates conductive filaments into non-conductive panels to generate pressure maps and haptic signals.

External data storage module mechanically connected to a control system cable retains configuration data for flexible module replacement.

A safety computing device segments memory areas to execute duplicate program processes for independent failure detection.

Autonomous driving sensors output object detection signals to identify unauthorized entities on vehicle exteriors.

A process control system generates visual markers to represent user interface operational status for quick operator recognition.

An abnormality detection unit stops inappropriate compensation during reinforcement learning, preventing vibration and ensuring continuous optimization.

A modular mobile robot unit moves on hull surfaces using electromagnets while a separate stage unit supplies power.

Internal wire-to-wire terminals and overmolded housing eliminate external wiring, resolving sealing integrity versus assembly difficulty.

Temperature sensors detect operating progression deviations to identify cooling impairments before they reduce component service life.

A dynamic queue architecture activates inactive queues to handle increased event volume in cloud identity systems.

Dual processing chips control relay contacts via electronic monitoring, replacing mechanical guidance to overcome miniaturization limits.

Client application filters timestamped time-series data points to render optimized plots on graphical displays.

A precision agriculture system processes field imagery to identify commodity quantities and determine emergence values.

A controller dynamically switches robotic motion devices between conveyors using real-time feedback data from production machines.