Programme Control TRIZ Cases

Adaptive signal filtering and accelerometer feedback let a ceiling fan maintain occupancy sensing accuracy while reducing wobble and improving comfort.

During power loss, stored capacitor energy drives the actuator to a sensor-based safe position that balances fire blocking and smoke removal.

Adaptive setpoint control limits reheating during stratification, reducing scalding risk and excess energy use while maintaining hot water.

A BACnet/IP gateway and projected capacitive touchscreen let room monitors link legacy BMS devices while staying usable with gloved hands.

Adaptive outlier limits in a building management system retrain after process changes and self-adjust by confidence feedback to keep fault detection sensitive.

Dynamic grouping by power use and equipment attributes reduces rotation-group imbalance, cutting failure events and peak demand.

Mobile devices use WiFi, Bluetooth, images, and floor-plan fingerprints to localize occupants and adjust HVAC by zone without extra sensors.

Gradual heating with staged drum rotation improves detergent dissolution, protects enzymes, and helps prevent protein coagulation.

Weather-based simulations help a thermostat server predict capacity reduction levels across multiple homes for more reliable demand-response events.

Direct sensing of the espresso percolation thread enables real-time grinder fineness adjustment for more consistent particle size and cup quality.

Trailing-average pump pressure sensing filters noise and detects biological activity for more accurate bed occupancy tracking.

Sensor-verified fire extinction enables remote sprinkler water shutoff, reducing post-fire water damage while maintaining suppression reliability.

Automatic account pairing matches a thermostat and user device by public network address, simplifying setup on existing home routers.

A built-in self-test checks robot cleaner sensors and components before operation to catch faults early and improve stability and safety.

Valve-switched air and ground heat exchange adds five operating modes, improving efficiency and conditioning the ground loop over time.

Dual HVAC memory buffers separate simple user event data from detailed service logs, improving homeowner usability and technician diagnosis.

A removable memory stores blower motor parameters so one HVAC controller can replace many dedicated units and simplify manufacturing.

A trial period qualifies occupancy sensing before automatic away-state setback, reducing energy use without user programming.

Automatically preselects and reorders cooking programs by time, season, region, religion, and language to speed restaurant operation.

A self-learning HVAC controller compares real-time and predicted efficiency to auto-adjust operating parameters and cut manual recalibration.

LED transaction cues, electronic coin return, and a hinged delivery bin reduce jams, simplify servicing, and improve vending reliability.

Asynchronous controller modules in an HVAC actuator cut synchronization overhead, saving processing power and bandwidth.

Mobile-device Wi-Fi proximity triggers zone-based HVAC and device control, cutting manual curtailment while improving energy awareness.

Predictive thermostat control uses weather, indoor-outdoor temperatures, and home thermal history to reach comfort on time with less HVAC energy.

A data-bus HVAC network uses subnet controllers and visual status displays to simplify fault diagnosis, maintenance, and energy-aware control.

Captured temporal-spatial data is reused to build 3D facility models, catalog objects, and improve robot service efficiency.

Precompiled function blocks let complex HVAC control run on low-cost microprocessors with minimal memory and flexible architecture support.

A reflective wheel and optical sensing detect when a coverage robot is stuck or loses floor contact, improving motion status accuracy.

A portable planogram interface links product images to display locations so each shelf light can be preset and adjusted for promotions and product changes.

Sensor-based ERV monitoring calculates heat, humidity, and enthalpy effectiveness to flag maintenance needs and cut building energy waste.

User behavior and sensor inputs are classified to personalize cooking settings, simplifying operation without limiting cooking control.

Remote thermostats feed room temperature and humidity data to one controller, enabling precise HVAC zoning with lower installation cost.

Sensor-based closed-loop feedback verifies adjustable bed position and returns remote confirmation for accurate, simpler control.

Corrugated container skin with embedded finned piping uses ambient air for free cooling, cutting chiller load and remote-site operating cost.

A subnet controller assigns equipment types from device IDs and offsets, simplifying HVAC installation, diagnostics, and coordinated control.

A unified handheld controller links adjustable bed settings with lighting, audio, and entertainment controls to improve access for users with limited mobility.

A spinning quasi-omnidirectional detector and directional sensor let a cleaning robot locate light beams and avoid restricted areas.

A shared HVAC data bus publishes device status vectors for easier installation, fault diagnosis, and more flexible temperature control.

A distributed HVAC data bus links controllers and devices to share status and configuration data for easier installation, diagnostics, and energy control.

A touch-slider bed remote unifies bed positioning with lighting, audio, and other room controls to improve access for users with limited mobility.

Remote monitoring and self-calibration keep DCV damper settings aligned with changing conditions, cutting site visits and HVAC energy waste.

Multiple indoor and outdoor temperature inputs help estimate building thermal mass, improving HVAC control accuracy and reducing energy waste.

A self-learning controller predicts hot water demand from usage patterns and cuts standby heating to reduce energy waste and electricity costs.

Presence-based profile blending adjusts thermostat and lighting settings to match shared user preferences while reducing unnecessary energy use.

Weather-based outage prediction triggers refrigerator pre-cooling and ice-maker shutdown to keep perishables safe during power loss.

A network-connected thermostat learns from user adjustments and refines schedules over time to balance adaptability, ease of use, and energy efficiency.

Layer-specific shaping paths reduce bonding at support interfaces, making raft and support removal easier without harming 3D printed resin parts.

Rejected patterned light is recycled through switchyard beam routing to raise beam intensity, cut energy waste, and speed powder-bed printing.

Meshed 3D models and additive manufacturing produce abatement chamber components with controlled porosity, permeability, and gas flow.

Multi-zone security with data diodes enables one-way machine data sharing while blocking write access to critical production controls.

LED rings and projected path cues show detected human position and robot intent, helping autonomous robots avoid collisions in shared spaces.

Splitting a master 3D model into subordinate files lets multiple lasers build object portions in parallel, cutting additive fabrication time.

A two-stage grinding approach controls surface temperature first, then aggressiveness, to cut cycle time without thermal damage.

Digital surface definitions guide industrial robots to fold single 2D sheets into complex 3D forms with less welding and material waste.

Meta-file-driven preview strategies give PLM users fast, layered views of complex engineering objects without opening full project details.

Map the environment and record robot actions in one pass, cutting mission setup time and avoiding manual behavior tree authoring.

A separate gateway-based data link protects additive manufacturing files from network tampering while preserving reproducible process operation.

Tracking lubricant additive consumption reveals gear deterioration trends early, enabling more accurate remaining life prediction before abnormal wear.

Aggregated weld data from multiple cells updates weld settings to keep workpiece quality consistent and correct missed or defective welds.

Reversible mapping between hardware and logic cuts fire alarm control center reconfiguration effort, errors, and standards-compliance risk.

Processing load display helps users choose operation data targets in injection molding machines without overloading the controller.

A robust closure model and real-time adaptation keep reduced-order control models stable and accurate under truncation and uncertainty.

When a surgical robot arm fails, the control system adds another instrument through a port and maintains its fulcrum for uninterrupted robotic surgery.

Role-based basic and expert modes enable secure remote textile machine operation while adapting access to different user tasks.

Occupancy and proximity data adjust hazard sensor sensitivity, enabling faster alerts and automated HVAC, lock, and gas-valve response.

Point-cloud section files cut bladed rotor inspection data up to 100x while preserving defect analysis and serviceability checks.

Installer-triggered visual, acoustic, or IT signals let teams identify connected access control units quickly and avoid commissioning errors.

Human-presence detection powers the control and unlocking modules only when needed, reducing idle drain while preserving fast door lock response.

Integrated sensors and a separate control unit capture and transmit spindle data so older CNC machine tools gain monitoring without controller upgrades.

Segment-based room control lets building automation adapt to movable walls and floor-plan changes with minimal manual engineering.

Pre-mapped force-to-sideslip correction lets machining position control compensate tool deflection in real time without rigidity values.

A shared tenant-context framework lets microservices extract context, route tenant data correctly, and keep multi-tenant behavior consistent.

Foot-contact detection lowers inertial sensor gain, then restores it gradually to suppress impact vibrations and avoid unstable robot corrections.

Tool paths are built directly from discretized lines and surfaces, cutting slicing computation while improving print detail and structural quality.

Two-stage graph planning splits material endpoints into sub-nodes so AGVs can combine deliveries, easing congestion in complex factory loops.

A central controller identifies user scenarios to coordinate smart devices, auto-adjust settings, and apply secure access rights.

Geometric pre-compensation adds negative print regions to offset printer distortion and preserve sharp angles in complex printed parts.

Digital light processing creates patient-specific ceramic orthodontic brackets with precise placement, smoother finish, and shorter treatment workflows.

A lattice sensor network embedded in composite skin expands aerostructure monitoring coverage while reducing wiring weight and circuit complexity.

Grouped master-slave sensors cut latency when combining camera and LIDAR data, enabling precise factory object maps for robot and personnel safety.

Processed sensor data is compared with expected operations to detect anomalies, trace root causes, and cut control-model computing load.

Real-time monitoring adjusts composite deposition paths to keep continuous fibers accurately placed and enable stronger unsupported 3D structures.

Wireless beacons, fixed receivers, and optional cameras automate offshore muster attendance and quickly identify missing crew in emergencies.

Camera-based digital twins replace written instructions and AR headsets, guiding aircraft assembly while preserving operator mobility.

An I/O software agent lets process controllers share dedicated and pooled I/O modules, improving utilization without major system redesign.