Programme Control TRIZ Cases

See how a mobile cleaning robot uses ranging devices and occupancy data to map IoT device locat

See how position-based arrival calculation adjusts air conditioning in stages to reduce energy

See how a controller uses pressure switch state changes to verify transducer reliability, preve

See how MPC with cooling coil modeling and dynamic humidity constraints reduces HVAC energy use

See how fire detectors with built-in temperature sensors enable centralized thermostat control

See how an HVAC controller uses indoor-outdoor temperature difference and energy-saving levels

See how dividing setpoints into manual and automatic groups with rule-based checking prevents c

A controller maps simple comfort or efficiency selections to heat exchanger temperature changes, reducing technician dependence and operating cost.

See how priority-based segmentation and dynamic power allocation extend backup runtime by selec

Machine learning forecasts household hot water demand from tank heat history, enabling adaptive heating control that cuts energy use without reducing comfort.

See how a washing appliance interface displays ecological impact alongside duration, letting us

See how external control devices dynamically switch between master and sub roles to maintain ai

See how hierarchical reinforcement learning generates distributed temperature set-points across

See how a nonlinear duct model with learned damper flow factors and shared pressure terms enabl

See how stacked modular appliances auto-detect arrangement and form master-slave roles to enabl

See how dynamic mode switching enables rapid building space conversion for emergencies while ba

See how an HVAC controller uses hold and backoff modes to maintain current outputs during irreg

See how outdoor air supply enables gas sensor self-diagnosis, distinguishing condensation from

See how runtime-based scheduling replaces calendar maintenance for HVAC units, reducing unneces

See how slide-operation detection lines within icon frames prevent accidental equipment state c

See how microphone-based frequency detection enables motor speed control that avoids resonance,

See how pre-training a surrogate model with calibrated simulation data reduces training time an

See how vanishing point grouping enables robots to determine orientation relative to walls and

See how time-series temperature difference analysis prevents false dirt alarms in air condition

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

See how a boundary-positioned storage unit pre-conditions temperature before delivery arrival,

See how multi-angle image capture and neural network classification replace manual laundry type

See how camera-based detection and machine learning track food item identity, position, and coo

See how waveband point segmentation divides lace patterns into outer and inner cutting pieces t

See how a service-oriented architecture integrates weather data, home automation, and filter co

See how an attachable sensor package tracks food storage time, detects temperature and gas chan

Clustered sensor data and association rules let HVAC systems cut energy waste during unoccupied periods while maintaining indoor comfort.

See how monitoring indoor and outdoor wet-bulb globe temperature patterns and mimicking natural

See how a stability index calculated from setpoint deviations enables universal equipment monit

See how intelligent lighting modules with embedded environmental sensors provide secondary HVAC

See how a foldable overview field segments multi-appliance control into compact and detailed vi

See how a VAV controller stores selectable predefined applications to eliminate on-site softwar

See how performance-curve-based staging optimizes multi-chiller operation by selecting the most

See how a hub distributes low-voltage DC power and control signals over single cables, eliminat

See how dual machine learning models predict cooling load demand and power output to generate a

See how adaptive HVAC control uses real-time pollution sensing and predictive algorithms to min

See how a zoned HVAC control system uses customized expected operating ranges per zone to filte

See how a nested multi-damper orifice plate achieves 100:1 turndown ratio for precise low-flow

See how splitting optimization between edge and cloud reduces data transfer latency by 10-40% w

See how dynamic switching between planned and normal operation modes balances energy saving and

See how automatic inference of HVAC equipment details from controller configuration triggers re

See how Hall-effect sensors detect magnetic field changes to automatically update storage infor

Deep learning enables real-time SLM defect recognition and laser remelting repair without interrupting layer-by-layer printing.

A positive offset keeps MEMS speaker drive voltage above a safe threshold, preventing piezoelectric depolarization and harmonic distortion.

Generative AI builds simulation code from control logic and project context, cutting setup effort for realistic industrial process testing.

A rating level constrains working-level outputs so AI can adapt across domains while preserving classification accuracy and response speed.

Maps workpieces to spatial addresses with environmental and process data, improving quality control and movement tracking in smart factories.

A remote server analyzes decontamination cycle data and sends corrective settings to prevent incomplete medical waste treatment.

Stored field-device data can be read wirelessly after total failure, speeding fault diagnosis and replacement without powering the failed unit.

NLP and machine learning turn scattered plant safety records into hazard maps, faster risk prediction, and automated mitigation actions.

Natural language input lets an in-line AI editor generate and analyze industrial control code, reducing specialist effort and development time.

Hierarchical material flow forecasting adds relational constraints to sensor anomaly detection, cutting false positives and data needs.

Real-time edge analysis of station-level high-frequency equipment data builds health scores that cut false alarms and improve yield.

Linear reference models turn complex carbon intensity rules into real-time control variables for compliant hydrogen production.

Sequential packet rewriting reveals slave-node topology, enabling distributed control with centralized management and balanced loads.

By moving parametrization and control electronics into a protected pilot unit, one controller can run multiple hydraulic valve drives with fewer spares.

Low-frequency regions in feature space are identified and forgotten so the model can relearn current patterns and recover inference accuracy.

Variable acceleration and jolting limits cut machine load and wear while preserving processing accuracy and avoiding run-up delays.

A single physical connection switches between USB and IP links in vehicle diagnosis, cutting interface count, hardware complexity, and cost.

Web-based segmentation and approval of DICOM image data cuts manual model-building time while improving 3D anatomical model accuracy.

Automatic code generation plus validation and simulation testing cuts manual engineering effort while keeping industrial asset control code executable.

A 3D textured part model and view tracking overlay inspection data on physical parts, making complex industrial analysis more intuitive and efficient.

A security engine checks program identity and setting validity before updates, preventing falsification while reducing user burden.

Extracts resource metrics from large log files, scores each function against limits, and visualizes system health and reserve capacity.

Camera and eye-tracking capture digitize non-networked controller operations, enabling real-time worker guidance without controller modification.

By correcting sensor, actuator, and control delay estimates, this case selects latency-matched control functions for stable networked control.

Parsing PLC code and digital twin artifacts builds real-time causal graphs that speed root cause analysis of security breaches.

Multi-bit PWM duty cycles encode hardware and software statuses so aircraft control channels stay synchronized and adaptive.

Aligns asynchronous axis detection values by counter increment so safety controllers can generate accurate position and speed monitoring values.

AI forecasts demand and solar output to adjust peak power and ESS scheduling, stabilizing cold chain logistics energy use.

Generative AI turns user interaction and environmental data into synchronized control parameters for more personalized and consistent stimulation.

Alarm-linked display combinations let operators switch screens faster and restore task views without heavy pre-configuration.

Local scan-based optimization lets an industrial controller run cost functions and constraints natively, reducing external system complexity and security risk.

By smoothing the control point sequence after kinematic conversion, this NC case cuts deceleration and improves cycle time and surface quality.

Undulating bionic airfoil surfaces built from non-intersecting support lines enhance vortex flow, lift-to-drag ratio, and stall resistance at low Reynolds numbers.

Ambient temperature is inferred from learned location and sensor scenarios to shift heating entry points and avoid premature or delayed mode activation.

Closed-form constrained zonotope set operations speed robust controllable set computation for high-dimensional online control under uncertainty.

A protocol-agnostic bridge middleware shares live power data across soldier PAN devices and Android apps while supporting encrypted messaging.

Wheel-speed feedback automatically reduces front-rear rotation differences to limit model car slippage without complex operator settings.

Multiple candidate correctional trajectories let directional drillers compare return paths to plan targets under well plan constraints.

Sensor-driven partial valve strokes cut actuator wear and improve process fluid control without complex modulating hardware.

A unified control unit with direction pads speeds nesting plan creation while keeping contour selection, rotation, and placement precise.

Camera-based AI recognizes tools, chucks, and pallets in fixed coordinates to improve handling reliability and collision-free navigation.

A host-computer digital twin simulates rail object controller hardware and software to cut lab dependence, verification time, and fault diagnosis delays.

Reduced spin-image features enable real-time surface scan comparison and pose alignment without object immobilization or fixed scanner positioning.

By offsetting layer profiles to control overhangs, this case shows how CAD geometry filtering cuts support structures and improves print quality.

A dual-OS TSN network controller synchronizes switching and industrial control time to improve local equipment access and network flexibility.

Integrated component-specific simulation models in preconfigured control modules cut manual adaptation, testing time, and errors.

Dividing each build layer into sub-regions enables repeat scans only where needed, improving melt bonding while limiting excess heat and build time.

Content slices are fetched through tunnel nodes to balance traffic, reduce congestion effects, and improve Internet transfer reliability.

Partitioned content is fetched through tunnel nodes to balance traffic, reduce packet loss, and reconstruct data in order.

Color-coded time-series bands turn AI evaluation values into visual press-machine state trends, helping operators spot abnormalities and predict failures.

When an armed security controller loses its persistent server link after a zone fault, delayed server reporting helps avoid false disarm alarms.

Dual communication links and synchronized primary-secondary controllers prevent message loss and downtime during industrial network interruptions.

A fixed atomic-scale uniform grid models semiconductor process changes without remeshing, improving boundary accuracy and parallel computation.

Automatic semantic model generation maps device properties and roles to speed building analytics configuration while reducing manual setup cost.

Optical tool-shape detection replaces time-based wear estimates, allowing pitch and depth of cut to adapt and maintain machining accuracy.

Distance sensing tracks skin position and adjusts PPG signal power to keep wearable heart rate detection accurate during loose wear or motion.

Content slices are fetched through intermediate tunnel nodes to ease congestion, limit packet loss, and improve web transfer reliability.

A 3D model of the existing escalator framework enables precise retrofit parts and adapter installation with less on-site measuring time and cost.

Sensor-based bounce energy detection slows the elevator car during vertical bounce to avoid false over-speed trips and unnecessary stops.

Localized machine learning with zoning predicts additive-manufactured component fatigue from roughness, porosity, and print orientation.

Smart tags and readers let a moving component platform track retention and use time across production units for more precise transfer control.

Direct needle injection and moisture sensing condition each cigar to target humidity and temperature instead of relying on ambient humidor moisture.

Dual counters and synchronized record generation link observation data to time and counter values for accurate multi-device ex-post analysis.

An ontology-based knowledge base unifies siloed building system data and protocols to enable interoperable access across building management systems.

Weighted edger codes tailor lens edging speed and wheel position to lens material, thickness, and treatments, reducing waste and damage.

Pretrained ML links process factors to defects, helping teams cut analysis time, reduce bias, and adjust quality control standards.

RNN process emulation cells predict semiconductor profiles at each process step, improving fault tracing, condition tuning, and defect inspection.

Conflicting AHU automation rules are ranked by frequency, then selectively flipped to lower energy use without exceeding comfort limits.

Metadata-driven deployment selects the right MOM resource layer and compute node automatically, cutting manual setup and deployment time.

Selecting build orientation by tool accessibility cuts inaccessible support volume and cost in hybrid additive-subtractive manufacturing.

During an active 3D print, free-space checks let added objects be formed without restarting, cutting completion time and extra handling.

Executable signal temporal logic checks vehicle simulation and test data with sampling and filtering rules to catch requirement violations accurately.

Cryptographic hashes recorded during 3D part fabrication create tamper-proof parameter records and reduce later data verification effort.

A removable interface and interchangeable accessories let blister packers handle varied tablet shapes with less downtime, reassembly, and cleaning effort.

Section-based path generation shortens surgical milling time, stays within bone resection volumes, and supports intra-operative adjustment.

Gateway components move to building-side computing nodes to collect device data locally and relay it to the cloud with less deployment complexity.

A non-force tracking template checks whether teeth match an intermediate arrangement, enabling wire-to-aligner transition without new scans.

Localized non-volatile memory in an HPLC multi-port valve preserves position and wear history for predictive maintenance and less downtime.

Near-field identifier broadcasts let maintenance staff quickly find the abnormal appliance and open the correct fault screen on a portable terminal.

Electromagnetic induction and impedance-plane analysis reveal subsurface AM build flaws during printing, enabling real-time quality control.

A high- and low-level controller split keeps a power generation unit running during software updates or communication loss.

Multivariate unusualness indexing cuts false alarms in correlated, high-dimensional quality data while enabling real-time detection of latent defects.

Threshold-triggered boiler modulation uses active-boiler count and temperature rise prediction to prevent water heating overshoot and wasted energy.

Multiple wells and angled illumination let each semiconductor sensor detect more DNA clusters, raising sequencing throughput without complex optics.

A graph-based semantic layer maps domain queries to asset data types across siloed lifecycle sources without requiring proprietary model knowledge.

Separate operational alerts from synthetic violation feeds to cut alert fatigue while preserving complete data center analytics.

Virtual bounding boxes simplify multi-part build envelope layout, cutting 3D printing time, material use, and thermal coupling.

Remote oral device fabrication uses 3D print-scan comparison and automated smoothing to improve fit, quality, and access.

A reference-marked calibration plate and firing medium correct laser focus and beam position errors across the powder bed.

A timer-to-I/O serial signal path measures internal transport delay so IoT devices can correct timestamps, cut TSN jitter, and improve timing accuracy.

Separate master and reserve control applications use distinct network paths and independent power locations to cut downtime in automation.

Configurable script-driven connections let microscope users add and control new components without firmware changes, speeding setup adaptation.

Centralized irrigation control cuts water waste with site-specific schedules, weather-based adjustments, and controller fault detection.

Relationship topology comparison matches industrial devices across ERP and DCS data without RFID tags or manual annotation.

Sensors compare shaft speed and vibration patterns with normal operation to flag reverse rotation before turbo machinery damage occurs.

Pre-authorized electronic lock control secures porch deliveries, allowing handler access while reducing package theft and notifying owners.

An accelerometer-controlled ID tag wakes wireless transmission only in motion, improving property monitoring access security and battery life.

An association module decouples process variable exchange from control processes, enabling runtime changes without restarts or production downtime.

Visual operation and auxiliary icons make robot programs easier to build and review by clarifying process flow and command grouping.

Bluetooth authentication activates door access only for verified delivery units, reducing porch theft without slowing package drop-off.

Predefined paths on a generic 3D model are deformed to fit scanned surfaces, enabling accurate autonomous robot treatment with less computation.

Moiré fringe imaging replaces photodetector signal conversion to reduce electromagnetic interference in micro-displacement measurement.

Sensor data from fine blanking press units drives automatic control parameter adjustment, cutting setup time while maintaining precision.

3D scanning and conformal-mapped CNC machining correct casting abnormalities, cutting manual labor, cycle time, and airfoil variation.

A flashing light profile and visual area-based setup help identify fixtures and speed source-to-target control association.

Automatic protocol updates and configuration images keep building equipment connected despite gateway failures and driver complexity.

Automated string segregation, clustering, and labeling turns mixed building device data into accurate digital building models with less commissioning effort.

Instead of full controller images, extracted delta files enable faster software updates with lower bandwidth, processing load, and memory use.

Morphological erosion, dilation, and skeleton analysis preserve thin 3D printed features that would otherwise break, bleed, or disappear.

Automated guidance maps safe access routes and repair steps for CNC failures, cutting recovery time and operator safety risk.

Patient teeth data and simulation determine whether to bend an active orthodontic wire or a maintenance wire, improving fit, precision, and cost.

Virtual field devices generated from device data let engineers test communication, parameters, and compatibility before physical devices are available.

Adaptive text, audio, video, and AR instructions match operator guidance needs to cut procedure errors and support GMP-compliant digital workflows.

Indoor position matching links mobile locating units to workpieces and processing plans, reducing manual tracking delays in sheet metal production.

Automated FMU dataset generation creates tool-agnostic surrogate models that remove licensing limits and support faster parallel simulations.

Sliding cylinder pairs expand hexapod travel on a transport carriage, enabling precise aircraft wing positioning with stable, low-bulk support.

Adaptive sampling limits failure diagnosis output to low-acceleration periods, cutting data volume and power use while improving robot fault detection.

Dynamic beam power and scan-rate control keeps powder bed fusion within non-defect conditions to limit key-holing, balling, and porosity.

HTM networks extend MPC in building automation to predict multi-step system behavior, detect anomalies, and adjust inputs in real time.

Automated CAD comparison and optical ply inspection cut manual composite-part validation time while checking NC data and ply conformance.

Buffered sensing lets multiple measuring elements capture data at the same time, then enables targeted readout over one communication line.

Slave devices expose node address storage regions so a memory-limited master can update network settings and support more control functions.

Signed query keys let field devices unlock securely through a trusted server without permanent secure network links or factory-resetting configurations.

By preconfiguring lattice cells for adjoining and non-adjoining sides, this case avoids shared-face searches and reduces modeling errors.

Real-time effort feedback with sound, visuals, and lighting helps participants self-regulate while freeing coaches to manage sessions.

Random-search reinforcement learning tunes PID gains from closed-loop step responses, handling plant uncertainty without model-based tuning.

An integrated P&ID and SFC workspace cuts editor switching, reduces manual SEBOL coding, and lowers process control errors.

Predicted cutting forces guide holding tab placement and sizing to keep machined parts stable, precise, and easier to finish.

An MPC layer updates PID parameters online to add predictive control without the complexity and computational load of full MPC.

A PLC feedback loop uses shunt and voltmeter signals to hold high inspection current within limits, improving defect detection and part protection.

Angularly offset feed vectors maximize straight-line machining area while preventing thin walls, stabilizing cutting and reducing tool damage.

Mobile product scans trigger a store robot to fetch related add-on items and deliver them to the shopping cart with personalized promotions.

Smart filtering excludes self-test, contact-bounce, and traveling-range samples to improve event detection accuracy while reducing CPU overhead.

Uses BIM and system parameters to validate building routes for mobile equipment, preventing collisions and route-related failures.

A web interface and local command queue keep fluid-handling equipment controllable during network outages without special software.

User report analytics and simulation guide 3D-printed design changes that resolve product issues faster with less field testing.

Automatic switching of control axes and current control cycles cuts servo CPU load during non-machining blocks without manual setup.

A delayed power-line discharge preserves remaining charge long enough to finish cache flush during voltage drops and prevent data loss.

Bidirectional vibration feedback lets the controller report its actual state, reducing delay and preventing interrupted haptic output.

Failure impact indices such as MTTR and MTBF set part-specific inspection timing, avoiding overinspection and missed maintenance.

Network analysis of combustion mesh data pinpoints critical zones for controlled disruption to suppress gas turbine instabilities.

Adds field device functions through configuration-based native installation packages, avoiding full software updates and virtual machine overhead.

Random sampling of reactor operating conditions and power distributions yields a less conservative overpower penalty for thermal margin analysis.

Adaptive thermal error compensation updates feed axis model parameters from temperature and interferometer data to sustain machining accuracy over time.

A process supervisor coordinates automated harvester adjustments to cut operator workload, maintain throughput, and reduce grain damage.

Pre-positioned parts, automated mixing, and container assembly reduce wait time and manual handling in custom cosmetic production.

A gateway-style data conversion unit synchronizes field device data between incompatible automation databases while keeping records consistent and current.

A pre-pressurized tank and valve unit pull coolant from a leaking server cooling loop, cutting spill risk, energy use, and valve complexity.

Presence sensing switches home appliances and surveillance modes automatically to cut power waste, improve safety, and preserve intrusion footage.

Time series data is split across image layers to preserve detail for computer vision analysis without sharply increasing storage or processing overhead.

Scaled chroma intra-prediction modes align decoding with pixel aspect ratio differences to improve picture coding efficiency.

Centralized dashboards compare welding and fabrication parameters before and after events across multiple sites to improve quality tracking.

Segmenting the working path into straight and corner areas keeps the end effector at constant speed through sharp boundaries, reducing uneven processing.

Analog voltage conversion lets one controller verify another faster and with fewer noise-driven errors in industrial safety control.

Distributed alert evaluation across edge and fog nodes cuts cloud latency and bandwidth demand while improving IoT response-time predictability.

Synchronized wireless sensors and a local computing device guide drive parameter tuning in real time, cutting commissioning effort and delay.

Model predictive control computes recovery trajectories after low-voltage grid events to restore wind turbine operation while limiting structural loads.

High-side and low-side current detectors with threshold averaging improve valid inbound signal detection on noisy industrial two-wire buses.

Measured drive time and a height-time mapping let a roller shutter reach target opening positions accurately without position sensors.

Wearable biometric and environmental sensing helps industrial safety systems detect fatigue, injury, and unsafe conditions in real time.

Critical sensor streams are fused, prioritized, and routed across networks to cut latency and data loss in remote robot teleoperation.

Preset timing conditions trigger signal recording at the right moment, improving target signal accuracy for more reliable downstream control.

A mobile scan plus cloud authentication links industrial field devices securely to user accounts without adding displays or WLAN.

Multi-pass training adds pseudo-classes for hard samples, cutting false detections so machine settings better match detected objects.

Forearm-supported robot safety control reduces thumb fatigue by using multi-finger enabling and adjustable mounting for portable tablets or phones.

A motion sensor wakes radar only when an object is near, enabling precise touch and gesture detection with lower power use.

A color-mapped matrix turns deviation indexes over time into visual warnings, helping operators separate true process anomalies from model noise.

Stored settings from a removed field device are automatically matched and applied to its replacement, cutting manual setup time and errors.

An eSPI link lets an embedded controller tunnel safety messages to a root of trust while staying independent of SoC power states and interference.

Agent-based software converts heterogeneous automation protocol files into a standard format, cutting analysis time and clarifying abnormal events.

Multiple cameras and a trained AI module detect alien or wrong objects in machine tool operations, improving robustness in small-batch production.

Adaptive shunt-current addressing lets more serial bus nodes be assigned reliably while limiting bus-master current and preserving low shunt losses.

Scattered-light and interferometer reading decodes 3D surface features for covert, rapid origin verification at point of sale.

A line management server identifies reusable process-terminal components, flags missing parts, and verifies compatibility during production line reconfiguration.

Thermal data from multiple devices is graded with anomaly models to predict failures and trigger maintenance actions that improve fleet reliability.

A graphical floor-map interface lets users assign addressable building elements to locations, reducing interaction steps and data inconsistencies.

Feature-location pairing and hierarchical candidate updates help tactile sensors distinguish similar objects across changing positions and orientations.

Control and naming are separated by generating ID codes from control and additional codes, avoiding firmware updates when element names change.

A unified script coordinates multiple monitoring tools, captures abnormal operating parameters, and speeds device failure diagnosis with lower resource use.

Reflected light position and lamp direction reveal which machine tool is abnormal without complex signal distinguishing hardware.

Wireless mobile robot GUI adapts to operator distance and position, enabling safer remote programming of collaborative robots.

A modular wireless adapter lets mobile devices configure irrigation controllers through direct or access-point links without on-site interaction.

Periodic test artifacts use wave propagation to detect additive manufacturing defects in real time, cutting waste and avoiding slow post-build inspection.

A zoned hierarchical IPv6 network replaces centralized home automation control to simplify installation, scale device count, and cut latency.

Gaze data is used to confirm users viewed critical task objects and are attentive before workflow steps are allowed.

A modular interface and dispense architecture translates shared instructions into platform-specific commands for unified beverage dispenser customization.

Remote set point latching and control indication enable smooth manual-auto handover and fail-safe equipment operation during communication loss.

Repeatable 3D voxels and meta tool paths place reinforced infill where needed, improving structural integrity without a solid, heavy interior.

Portable wireless notifications let off-room personnel acknowledge, annotate, and return process alerts for faster operator collaboration.

Selective fusing reduction regions limit heat spread at object edges, improving 3D print boundary accuracy without weakening core bonding.

Direct voltage sensing and switchable low-ohmic states let redundant analog inputs avoid correction errors while detecting wire breakage.

Removable arms, adjustable target plates, and magnetic images let one ADAS calibration stand fit multiple vehicle target setups.

A software-based comparison of second and third processing paths detects failures without duplicating hardware, reducing cost and size.

A negative-Poisson-ratio bullet structure uses alternating orthogonal holes to cut barrel friction, reduce energy loss, and improve penetration.

Semantic matchmaking maps pre-trained control models to new building automation contexts, cutting retraining effort across different sensors and data formats.

A controlled switch blocks the first high-amplitude LC sensor oscillation, protecting the processing unit without rigid voltage limiting.

An edge server filters and masks factory machine information by confidentiality level, enabling cloud analysis without leaking sensitive data.

Overwritable life cycle data lets hardware blocks switch security states for debug and diagnostics without changing permanent OTP settings.

Seed-code authentication lets one ECU platform be securely rewritten for different engine setups, cutting inventory and in-house programming costs.

Pre-pulse and post-pulse sampling help a photoelectric sensor reject ambient light noise and reduce false state changes.