Programme Control TRIZ Cases

See how an operation terminal filters and displays only equipment-compatible operations using p

See how a thermostat adjusts backlight and internal load power between awake and idle states to

Smartphone activity detection switches heating and air-conditioning night mode around user rest, reducing unnecessary energy use and temperature discomfort.

See how a non-omnidirectional light detector with rib-shadowed zones enables cleaning robots to

Operating diagrams coordinate building equipment and comfort setpoints while adapting optimization to equipment variations and energy costs.

See how a monitoring sensor detects objects near motorized furniture drawers and blocks drive a

See how fallback control mode switching maintains HVAC valve operation during sensor faults, im

Mechanical backlash and hysteresis can distort valve feedback; direct position sensing supports accurate flow control and cavitation prevention.

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

See how HVAC controllers use GPS location data and server-based climate settings to eliminate m

See how a wearable device measures user and ambient temperature, transmits data to a service se

See how a thermostat integrates WiFi, Bluetooth, Zigbee, and proprietary protocols to unify fra

See how periodic backlight and load cycling in a thermostat reduces internal heat generation, e

See how a commissioning system with stored compressor and motor data automates parameter genera

See how segmented user interfaces with access control codes enable secure, role-appropriate atm

See how dither signal injection and phase delay estimation enable automatic bandwidth and gain

See how an HVAC analytics engine learns from historical data and real-time pricing to predict e

See how nesting a microphone module in a top door recess with a protective cover maintains voic

See how integrating motor, controller, and wireless communication into one HVAC actuator enable

A temperature meter and flow regulator switch between minimum and steady flow to limit water and energy waste before hot water is ready.

See how a centralized energy management service calculates apparent temperature from weather fa

See how splitting optimization between edge devices for real-time control and cloud for analyti

Tool detection selects stored load profiles so a food processor can adapt motor speed to food loads, limiting spillage and excessive force.

This case shows how version and configuration suffixes synchronize BEMS object references without manual updates.

When a building management node fails mid-computation, hybrid recovery reroutes the job using progress messages to support HVAC control processing.

See how a cloud scheduler and bypass controller convert power draw prescriptions into environme

See how weather-forecast integration recalibrates climatization activation times to eliminate d

See how continuous short-term weather forecast updates eliminate hysteresis delays in HVAC acti

Automatic point queries map control outputs to aliased equipment points, helping a BMS adapt when building configurations change.

See how progressive profiling analyzes occupant data and offers actions based on observed condi

See how adaptive learning correlates thermal zones and occupant preferences to optimize HVAC se

See how serialized data models with on-demand de-serialization reduce memory usage in building

See how a washing machine controller tracks selection frequency and dynamically reorders displa

See how temperature-based fault detection corrects economizer damper and AC compressor delays t

See how dividing cleaning regions into subregions with boundary-line extension and communicatio

See how suction and discharge temperature sensors guide compressor speed adjustment within oper

See how an HVAC actuator monitors temperature sensor data against expected criteria to auto-ver

See how wireless transceivers and automatic master-slave detection enable remote programming an

See how a multi-function rotary input element adjusts both time and temperature parameters in a

See how merging power and command signals onto shared current supply lines reduces wiring compl

See how a transparent panel with adaptive lighting elements displays only mode-relevant command

See how a system controller monitors discharge temperature and power consumption to detect floo

Zoned HVAC systems calculate default airflow from equipment limits and zone count, then block user settings below the permitted minimum.

See how networked HVAC control uses comfort zone ranges, occupancy detection, and predictive al

Thermostat delays extend HVAC load shedding; measured delay feedback adjusts relay shed and restore times to extend active power reception.

See how a universal base configuration with placeholders for energy generators reduces developm

See how automated scanning and controller-based alignment reduce calibration downtime in food p

Gated slave circuits on a shared backplane schedule machinery data transfer to expand monitoring coverage without excessive system complexity.

Uses three measured planes with different normal vectors to align 3D sensor coordinates across positions without overlap or precise markers.

Mounting acceleration and strain sensors on the rotating tool shaft improves machining-state measurement while reducing signal attenuation.

Volumetric analysis of CAD component orientation predicts overheating zones in additive manufacturing, reducing distortion and scrap.

Pre-recorded error transition patterns let operators diagnose machining error causes quickly without real-time machine data collection.

Built-in DAC and ADC paths let a sensor circuit capture analog process characteristics accurately without heavy probing or separate analog test hardware.

Real-time loop voltage and current monitoring lets controllers prioritize commands during alarms, preserving transmission reliability.

Vibration scoring tracks creping blade chatter, helping predict blade replacement, reduce defects, and protect the Yankee dryer.

A unified data lake and AI control tower replace siloed cleansing with real-time data validation and supply chain recalibration.

A flow sensor linked to a driven valve lets garden watering meters deliver set volumes and flow rates while reducing water waste.

Distributed parameter measurement lets a higher-level ASIC verify lower-level ASIC readiness while avoiding added circuit complexity.

Delaying asset appropriation until a supplied article is unloaded helps control inventory and avoid correction work when production plans change.

Abstracted point definitions from an archetypal device enable consistent data point mapping and faster onboarding across building equipment variants.

Time-series image meshes track local chip buildup inside machine tools, enabling timely cleaning before chips clot and disrupt machining.

Nine reverse-engineered tuning equations adapt Kp, Ki, and Kd in closed-loop control with low computational load and no plant model.

Hierarchical view and section nodes let one webpage reuse content across views, cutting refresh, latency, and server data transfer.

Mobile robots inside a resin tank locally steer light beams to improve photopolymerization accuracy for large and complex 3D objects.

Partitioning content across tunnel nodes reduces congestion, balances traffic, and improves reliability under unpredictable Internet routing.

Machine learning predicts renewable power availability and flags plant performance deviations to improve gas plant uptime and storage use.

Local trend calculation and compression let a field device retain predictive diagnosis data without continuous external communication.

Hash-based layout matching predicts CMP hotspots early, helping engineers choose recipes that cut defects and shorten IC manufacturing cycles.

Server-side virtual sensors mirror terminal hardware data so multimedia images update in real time without onboard sensors.

3D wear data from rake and clearance surfaces plus simulation-derived constants improve tool life prediction for difficult-to-cut alloys.

A non-actuating pulse train tracks solenoid coil inductive reactance drift to predict valve failure early and reduce unplanned downtime.

Confusion-matrix weighting lets gradient-based classifier training directly optimize non-decomposable metrics for deep learning tasks.

Real-time water allocation and graded waste liquor treatment cut fresh water demand and environmental pressure in shale gas exploitation.

AI motion mapping predicts distal catheter movement from proximal input and flags deviations beyond the fluoroscopy field of view.

Mobile carts paired with warehouse associates cut picking and restocking time while avoiding fixed automation space and installation limits.

By loading a PROFINET stack into a server management controller, OT networks can discover, configure, and remotely manage IT resources.

Synchronized punch tools and a separation edge remove waste from pre-cut substrates automatically, eliminating custom stripping tools and manual handling.

Links each speed or feed change to the active machining block so operators can review chatter countermeasures and converge vibration faster.

Context-aware seq2seq mapping translates building acronyms into standard tags, improving accuracy for many-to-many point naming.

Controlled staggering of ply course edges in hollow composite bodies reduces curing wrinkles and improves surface consistency.

Sensors, plant images, and neural-network stage detection guide irrigation timing and water volume to avoid over- and under-watering.

Two cross-monitored computing units let safety-critical machine control run on standard industrial PCs with fault tolerance and lower hardware cost.

Cycle-based abnormality scoring tracks welding state from weaving signals, avoiding threshold resets when gas, current, or workpiece conditions change.

Measured end and middle bend differences drive crowning correction, improving width-wise accuracy in multistage press brake forming.

A metadata-driven GUI lets non-technical users adapt IoT apps without coding, balancing flexibility, usability, and deployment cost.

A one-time activation signal lets registered tools run without continuous wireless links, improving secure use on unreliable jobsites.

Capacitive APL coupling and protocol conversion let legacy field devices connect to Ethernet-APL without replacement or reconfiguration.

An intermediary pricing engine extracts CAD design data and supplier costs to generate faster, more accurate manufacturing quotes.

Detects unvalidated avionics setting changes by comparing displayed values with operator inputs, helping prevent hazardous cockpit errors.

Switchable discharge control keeps liquid output and line width stable across speed changes while also enabling spot application.

A virtualized automation interface feeds external monitoring events into OT inputs without reprogramming existing data pathways.

Predicted thermal clustering ranks data center devices by cooling need, enabling targeted action that cuts power waste and hot-spot risk.

Wireless battery-pack and app-based control lets users quickly change power tool speed and output, improving jobsite adaptability and maintenance visibility.

Component SOH signals and degradation profiles let machines schedule service by actual health, reducing premature maintenance and failure risk.

Zone-linked content output lets one controller unify security, monitoring, and automation with configurable alerts and remote access.

A built-in setting screen lets users configure process settings during data acquisition, cutting setup time, cost, and vendor dependence.

Component-specific SOH degradation profiles drive machine service timing, cutting unnecessary downtime while avoiding failure from delayed maintenance.

A stator-integrated single-edge sensor measures cutting load directly, improving wear detection accuracy without bulky tool adapters or wireless interference.

Synthetic alerts capture non-triggering data center violations, improving analytics accuracy without adding operational alert fatigue.

A sensor and counter assembly tracks hit counts, condition, and location across different presses to support maintenance planning and compliance.

Interpolated non-parallel reference planes create connected partial tool paths that cut machining time and improve surface finish.

Reciprocal radial vibration overlaps successive thread cuts to break long chips, preventing entanglement and machined surface damage.

Force and usage-time tracking in a joining press enables accurate pressing tool service timing and avoids static-cycle wear errors.

Projected laser cut-path previews let operators verify sequence and alignment before machining, reducing tool and workpiece damage.

Recorded UAV operational data supports maintenance reminders, accident reconstruction, and flight tuning based on operator experience.

Stationary robots act as ranging beacons so moving swarm platforms can triangulate position and limit drift in GPS-denied, dusty, or smoky spaces.

Constrained manipulator motion with torque and angle feedback separates friction and elasticity effects to improve end-effector calibration accuracy.

Sensor data and risk factors rank machines by service urgency, helping limited technicians cut downtime and maintenance cost.

3D tooth descriptors predict un-erupted tooth shape so aligner cavities fit naturally, avoid discomfort, and support eruption.

A wired-to-wireless radio bridge virtually links driving apparatuses to slave controllers, expanding FA coverage without changing established control methods.

A tilting-pivoting button and lever mechanism lets a battery-free wireless switch generate power while cutting actuation force to about 2-3N.

Trigger-based retraining updates building energy prediction models to adapt equipment control, cutting energy use and operating costs.

SCADA alarm patterns and sensor histories are combined to forecast wind turbine component failures earlier with scalable model selection.

A BIM model and fuzzy data-point linking cut building-status configuration work while enabling clear 2D and 3D monitoring displays.

Finite element simulation and regression set lower roller positions to hit target sheet curvature without trial calibration or extra passes.

Edge video gateways fuse camera analysis with sensor triggers to automate alerts and machine actions while reducing manual review and bandwidth use.

Soft elastomeric grippers use fluid-driven shape change and user-assisted control to handle varied objects safely in pick-and-place work.

Dynamic table registration uses sensors, markers, or arm joint states to localize manipulators, maintain alignment, and avoid collisions.

Self-configuring probe interface boards identify probe type and hierarchy automatically, cutting CMM circuit complexity while supporting future sensors.

A dockable base unit swaps servo-free and servo-control modules through one interface, cutting tool changes and reducing the need for multiple tools.

Load analysis maps each 3D part region to print settings, cutting additive manufacturing time and cost without sacrificing required material properties.

Local facial recognition at cruise stateroom doors speeds contactless entry while supporting crew access, live video, and room personalization.

Offline digital twins enable parallel production line debugging with hardware-in-the-loop checks to catch integration errors earlier and cut rework.

An integrated fibrous core combines wicking, ion exchange, absorption, and flow blocking to simplify negative-pressure wound dressings.

Pre-calculated acceleration timing starts laser emission only after target speed is reached, improving weld position accuracy and throughput.

Automatic model orientation, support planning, and infill tuning cut material waste while improving surface finish in 3D printing.

Graphical flow creation with force parameters and conditional branches makes robot teaching easier and improves recovery processing after failed operations.

Location-derived network addresses let replacement devices keep the same address, cutting reconfiguration downtime and improving access security.

Flow passages through the machine tool structure let cutting fluid exchange heat with the body, suppressing thermal displacement without warm-up.

Impact sensing and torque estimation let the tool set shutoff parameters from actual tightening data, improving torque accuracy across material variations.

Timestamped process data enables external evaluation over a non-real-time bus, reducing machine-side computing while preserving real-time monitoring.

Physics-based stochastic flaw modeling predicts defect probability in powder bed fusion parts, cutting trial-and-error qualification time.

Sensors and integrated control automate robotic attachment positioning and worksurface tasks, reducing manual errors and cycle time.

Zone sensors, room controllers, and mobile inputs synchronize target values to improve building climate control and energy management.

Zone offsets and runtime multipliers cut wireless schedule traffic while preserving flexible irrigation sequencing and real-time adjustments.

Frequency-response and impulse-response simulation enables faster servo parameter tuning without risky motor operation or heavy control-model setup.

When redundant position signals diverge, the controller freezes actuator motion and checks sensor intervals to detect drift and avoid wear.

Polar coordinate grid mapping aligns droplet placement on rotating substrates to reduce distortion, stitching errors, and density variation.

A combined real-time and non-real-time controller brings diagnostics closer to field devices, cutting latency, hardware, and cabling in distributed power units.

A conical grinding worm and variable diagonal ratio enable precise left-right tooth flank modifications while improving tool wear uniformity.

Build contoured 3D color surfaces by varying UV-curable ink column heights for direct printing on textiles and footwear without release layers.

Rule-based alert routing suppresses non-essential process control alarms, prioritizes critical issues, and automates response actions.

Multiple light paths with a reflector and axicon capture radial, axial, tilt, and angular errors in rotary axes to improve machine tool precision.

Exercise data from wearables drives targeted massage settings automatically, improving recovery comfort while reducing manual mode selection.

Excitation-based system identification calculates hydraulic servo pressure control parameters faster and more reproducibly than manual tuning.

Expansion modules report interface data and identifiers automatically, cutting manual topology entry, setup effort, and configuration errors.

External strain gauges monitor mold deformation and adjust clamp force and rate in real time to reduce molding defects and energy waste.

Vibration feature extraction combined with AI improves early fault detection and classification for rotating equipment while reducing false alarms.

Adaptive batch sizing based on queued data improves transmission between real-time and non-real-time OS processing units.

Surface-touch communication unifies power and control for merchandise monitors while separating staff and manager access by area.

Automatic stop-and-record logic writes barrier canceling commands after first-run checks, reducing repeat machining verification work.

Grouping similar sensor signals and adjusting ADC sampling time cuts MCU load, avoids over- or under-sampling, and reduces vehicle control errors.

Raised 3D printed graphics on the card protective film improve tactile feel and design flexibility without traditional screen setup.

Object transport in learning mode lets conveyor control units detect neighbors and assign bus addresses, cutting setup time and errors.

Local edge controllers tag and combine sensor data to detect patterns, automate device hierarchy, and adjust building operations without centralized control.

Sensor profiles and vision data locate sewn workpieces in real time, enabling corrective actions to keep automated processing within tolerance.

Segmented controller engine instances separate safety logic from control functions, resolving rigidity and data integrity bottlenecks in industrial systems.

Control device automatically inserts monitoring commands into NC programs to set precise torque detection intervals.

A distributed cloud control system divides complex 3D models into manageable parts for individual printers.

A security gateway mediates tri-mode network communications between a touchscreen interface and diverse home devices.

A robot gripper moves to a target position and then to a verification position before gripping.

Graphical manipulation of feed curves replaces complex numerical input, resolving the trade-off between manufacturing precision and operational ease.

A model-based production control system constructs execution plans that incorporate diagnostic objectives alongside standard manufacturing goals.

A medical operation system uses a signal processor to generate time-series data from multi-device records for real-time visualization.

Segmented leg members adapt to unique patient anatomy for precise implant orientation, preventing misalignment and reducing revision surgery needs.

An inertial measurement unit tracks device movement via dead-reckoning to generate relative position data for three-dimensional visualization applications.

A robotic arm controller executes multiple sensor scans to confirm teat location before attaching a preparation cup.

Binding operator data to authentication credentials prevents third-party manipulation of automation device configurations.

A data processing system derives throughput capability measures from workstation signals to identify manufacturing constraints.

Decoupling circuits enable combined data and power transmission in explosion-risk areas, reducing wiring complexity.

Pre-calculated gabled roofs collapse under gravity to match target arched geometries, resolving manufacturing precision issues.

Sensor devices detect acoustic signatures from passive tags to identify and provision non-provisioned smart environment objects.

A hybrid phase shift apparatus merges a voltage-controlled analog shifter with a microcontroller and DAC for precise digital control.