Programme Control TRIZ Cases

See how dynamic control condition adjustment ensures users earn expected incentives during ener

See how a unified chair controller integrates local and remote inputs with smart power supply c

See how empirically-measured utility billing data and short-duration tests replace invasive ene

See how a comfort agent autonomously learns heat transfer and occupant preferences to optimize

See how comprehensive learning of heat, moisture, and CO2 models from sensor data eliminates ma

See how cloud-based pattern analysis of sensor data automatically modifies actuator schedules t

See how an HVAC controller tracks user interactions with thermostats and mobile devices to calc

See how camera-captured error codes eliminate user interpretation barriers, enabling automatic

See how pressure sensor modules detect filter dirt levels through pressure offset values, repla

See how a home automation system integrates weather forecasts with barrier and HVAC status to a

See how predictive occupancy detection using departure and arrival probabilities reduces HVAC e

See how selectable installation profiles with preconfigured parameter sets reduce HVAC controll

See how command points with integrated sensors measure comfort and energy data locally, elimina

Fixed thermal models drift as occupancy and building properties change; probabilistic updates improve MPC temperature control and energy use.

See how a computer model uses utility billing data and weather inputs to estimate building heat

See how dual temperature control devices with automatic gas distribution maintain machining acc

See how a swingable support rod with axial fan head rotation uses infrared sensors and feedback

See how an HVAC controller uses existing outdoor temperature sensors and power measurements to

See how RFID wristbands replace manual tracking at festivals, enabling real-time consumer behav

See how current sensing and wireless transmission enable centralized control of discrete AC uni

See how wireless communication architecture replaces hard-wired networks to enable dynamic comp

See how an HVAC controller monitors zone temperature and humidity to determine when fan-only ai

See how liquid nitrogen evaporators and distributed coolant tubes cut batch freeze time in half

See how sensor-equipped storage devices use color-changing visual indicators and periodic monit

See how ultrasonic wave propagation replaces piezoelectric sensing to maintain touch accuracy o

See how distance-based setback control reduces air conditioner energy waste during user absence

See how a universal control unit with standardized connection means manages multiple furniture

See how a touchscreen HVAC controller uses segmented multi-screen navigation to simplify schedu

See how a network interface device with serial communication and auto-configuration integrates

See how probabilistic arrival modeling resolves geofencing pre-conditioning failures by predict

See how dynamic channel reservation within a frequency hopping sequence enables high bandwidth

An array controller selects the lowest-power fan configuration to deliver airflow while reducing air-handling space, cost, noise, and vibration.

Manual pressure sections and fixed fan speeds can miss the target; current-based section selection enables adaptive regulation for installation-specific duct conditions.

See how thermostat configuration copying transmits update data between units via ad-hoc network

See how a timer controller uses fixed on-off cycles and visual indicators to prevent user-trigg

See how modular boards couple to a thermostat motherboard, enabling users to upgrade sensors an

See how a deconstructed GUI arranges HVAC data points in temporal order to reduce troubleshooti

See how real-time sensor data compared against manufacturer performance curves predicts compres

See how comparing indoor air composition with learned daily patterns reduces false alarms from

See how correlation-based sensor grouping enables air-conditioning systems to adapt when sensor

See how an interface device translates simple on/off signals into temperature differentials, en

See how celestial body image acquisition enables simultaneous correction of multiple heliostats

See how building-specific filter resistance measurement replaces standard test values to reduce

See how tomographic reconstruction of sensor data generates accurate internal state models to i

See how segmented screen sequences guide users through location-based and time-based HVAC sched

See how precooling structures during solar overgeneration stores thermal energy in building mas

See how a directional input element and visual feedback enable efficient time-period configurat

A microprocessor varies fan speed from a temperature map and configures burners to control discharge air temperature and reduce stratification.

See how a thermostat control system scores user temperature setpoints for energy usage and comf

See how measuring thermostat delay time and adjusting LCR cycle parameters maximizes HVAC load

Time and data reliability scoring guides gas data into different storage areas, improving IoT storage efficiency for smart gas systems.

Operators can visually verify machine and state data, then encode only relevant fault information into a setting code for faster diagnosis.

Machine-readable component IDs track wear and service life in pelletizing lines, enabling precise maintenance timing and diagnostics.

A table-mounted registration element links each manipulator to the surgical table for accurate localization, coordinated motion, and collision prevention.

Data modulation on the two-wire power path lets irrigation controllers auto-discover decoders and assign zones without manual address entry.

Parallel pixel-level checks detect spacing and width violations on curvilinear IC layout edges, improving rule accuracy near lithography limits.

Automatically matching LED data formats lets one controller drive different digital LEDs without hardware reconfiguration or software reinstallation.

Maps actual and target safety states across software and hardware components to detect deviations and assign measures with less assessment effort.

Closed-loop pneumatic mask deformation and CCD alignment speed super-resolution lithography correction while reducing host processing load.

A unified ML platform links siloed home appliances to optimize performance, predict maintenance, and simplify cross-brand control.

A learned model predicts burnishing roughness and deformation from workpiece and process inputs, cutting readjustment time for thin-walled parts.

Machine learning PPC combined with OPC cuts layout revision computation while improving pattern accuracy and resolution in semiconductor multiple patterning.

Context-aware control of lighting, sound, and door access helps first responders navigate smart buildings and collect better evidence.

A film production model calculates raw material selection and machine settings to cut extrusion setup time, testing, and cost.

Virtual proximity sensors on an aligned 3D model turn user gestures into precise points of interest, reducing AR maintenance errors and update effort.

Forward and return stroke force differences reveal tool tip wear during vibration cutting, avoiding machining stops and extra sensor complexity.

Preconfigured lookup data lets a scanning laser detector match reflectance and size to settings, cutting calculation time without losing accuracy.

Historical project data and stored lineup templates speed motor control center design and single-line diagram updates when load lists change.

Updating only changed controller sub-structures cuts programming time and bandwidth while keeping building component control running.

Automatic control of lighting, temperature, and sound uses presence and activity triggers to optimize office spaces without manual setup.

Panoramic depth imaging and spatial coordinates let a surgical robot arm self-locate, plan motion paths, and reduce manual control errors.

3D defect matching plus structural and aerodynamic simulation helps repair integrally bladed rotors that geometric checks alone would scrap.

Stored limit values let machining parameters adapt to workpiece position and clamping constraints, preserving quality without expert tuning.

Intermediate tunnel nodes split content into slices across multiple paths to balance traffic, reduce congestion, and improve delivery reliability.

Strategic dividing lines split sheet metal scraps without head interference, reducing cut-surface marks during laser hole formation.

Cascading parent-child safety signatures track configuration changes in automation controllers, easing verification and recertification.

Connected devices self-report inventory, condition, and value so property insurance coverage and claims can be updated more accurately.

Visual behavior tree construction replaces text-based workflows and multiple tools, making service execution in a workcell faster and easier.

A dual-limb CMM splits probing and coupling into separate metrology chains to keep high precision while reducing weight and improving mobility.

Machine instructions are generated from process text and regenerated from error feedback to keep flexible assembly running without manual intervention.

Multivariable anomaly detection links press variables to production states and consumables, improving fault accuracy while reducing downtime and waste.

Pre-weld testing, approval, and weld-joint traceability stop production after repeated quality violations and improve weld reliability.

A broker provisioner routes control devices to available remote services, avoiding manual patching when servers change or fail.

Near-field command priority lets operators control valve states during maintenance without bus-system interference or unintentional switching.

Links each mid-work stop state to recorded causes and countermeasures, enabling timely operator response and up-to-date training.

An iterative FEM, microstructure, and material loop captures non-equilibrium process history to reduce trial-and-error, scrap, and development time.

Portable app-based setup uses virtual devices, room creation, and pairing to simplify flexible building automation without trained installers.

A two-wire router sends digital safe-state commands and cuts link power as a backup when field-device communication fails.

Interactive sub-area buttons replace detailed site plans to locate and control connected objects with lower interface complexity and fewer selection errors.

Parametric modeling of complex feature volumes cuts CAD file size, processing time, and print errors in additive manufacturing.

Periodic watchdog codes embedded in cyclic sensor data expose stagnation and verify fresh updates for safer lidar and other sensing systems.

Combining multiple sorting orders into workload-based collection orders cuts empty robot runs and increases warehouse picking throughput.

Force data and keyframe image analysis improve machine tool abnormal-cause identification when cutting parameters alone are insufficient.

By analyzing relationships between machine variables, this case detects printing anomalies earlier across changing production states and consumables.

Projects an artificial human into AR/VR and adapts guidance from user behavior to deliver personalized, real-time task assistance.

AI-built standard machine values flag abnormal printing data, helping trace disruption causes and improve production stability.

Work quality feedback triggers automatic work unit exchange and maintenance, helping substrate processing keep quality high without lowering operating ratio.

PID scores replace manual interaction analysis to interpret complex parameter combinations and trigger timely adverse outcome alerts.

Bias-controlled cascode protection keeps PLD I/O transistor voltages safe during power ramp and configuration loading across varying bus supplies.

Beacon range detection and age verification lock or unlock a vaporizer to prevent underage and unauthorized use.

Multiple RC combinations encode distinct frequencies or time constants, letting one line set and read many bus participant configurations.

A unified collection time base and tagged signal data preserve cross-network reception order for accurate playback simulation testing.

Kalman-type filtering fuses optical and environmental data to correct drift and noise in precision optical instruments without bulky control hardware.

Electronic control replaces mechanical stops and clutches in a lathe feed drive to improve slide end-position accuracy and reduce stress.

A structured PI tuning approach sets weighting, proportional, and integral gains to cut overshoot while preserving response time and robustness.

IMU-detected inherent gestures let wearables trigger door access before arrival, removing manual phone or badge interaction.

Selective coolant flow through the support assembly stabilizes AM part temperature during additive and milling steps without process delays.

Tailored state explanations and history tracking help users understand building control transitions and avoid harmful manual overrides.

Level-set mapping, isoparametric transformation, and global cutting create conformal cellular structures with graded microstructures and full continuity.

Jointly learned sensor-specific and fusing autoencoders extract discriminative features from raw multi-sensor data with lower complexity.

A multi-level postprocessor architecture reuses protected base code while enabling dynamic customization of NC program output.

Runtime display adjustments are stored on the operator server and shared with engineering to preserve reusable selections across operators and projects.

Cloud-based DER scoring tracks communication availability, command response, and execution conformance to improve predictable grid support.

An HMD-linked xR workflow lets users manipulate 3D models by gesture and send print-ready files directly to a 3D printer.

Distributed sensors and a controller track structural integrity and environmental health to manage vibration, deflection, and building performance.

Formal PLC verification combines timing charts, abstract semantics, and counterexamples to find bugs faster with exhaustive checking.

Movable tool holders switch between active and standby positions, enabling fast packaging format changes without bridge replacement or throughput loss.

Virtual one-way gates in occupancy maps guide robot movement by local cultural norms, improving predictability, collision avoidance, and flow.

By matching detected vehicle motion with expected road-section states, this case verifies map routes and improves unmanned navigation reliability.

Real-time coordinate feedback and auxiliary points correct 3D tool paths within allowable error, reducing manual path correction time.

Projects visible light onto a workpiece and mirrors the mapped position on screen, helping users place figures accurately on the target surface.

SVM analysis of routine operating data clusters model parameters to flag cross-directional model-plant mismatch without disruptive tests.

Distributed subsystem checks compare safety-related actual values during operation, simplifying modular safety validation without extra hardware.

A mechanically linked, electrically interconnected robot work cell cuts rewiring, transport effort, and setup time by moving key modules as one unit.

Probabilistic event-sequence estimation links photoelectric barrier patterns with conveyor speed to track packages accurately despite slipping or jams.

Autonomous mobile commissioning collects BAS and HVAC data by zone during construction, shortening handover delays and avoiding temporary security measures.

A differential neural network solves redundant arm inverse kinematics fast enough for repeat motion, improving joint consistency and robustness.

Cohort-based SCADA event patterns and sensor history improve wind turbine component failure prediction accuracy and maintenance lead time.

Real-time KPI scoring helps plant operators balance profitability, energy saving, and equipment protection without sacrificing reliability.

By compensating servo-side and external-device delays, this case improves trigger timing accuracy for synchronized operation and image capture.

Baseline and current configuration signatures are compared at a control device to flag mismatches before inconsistent modular data causes errors.

Operation logs drive guidance screen layout for machine tools, linking related parts to real workflows and reducing manual screen creation effort.

Dynamic property predictive control cuts dead time in continuous annealing lines by adjusting settings ahead of strip transitions and constraints.

Acceleration-based light guidance shows fork position on the load, improving forklift alignment, safety, and product loss reduction.

Switchable discharge modes keep liquid flow constant or speed-linked, reducing programming effort while preserving line width and spot application control.

A gateway-driven controller links sensors and IP cameras without direct accessory protocols, enabling unified automation and live video response.

Processes knowledge graph triples directly on neuromorphic hardware to enable online learning and low-latency inference without external preprocessing.

A retrofit controller modifies native feedback signals using pressure sensing to keep injection melt pressure stable without reprogramming.

An attachable monitor analyzes control-device communications to flag unauthorized access, rule violations, and program changes without altering the controller.

Automated framing templates turn plot constraints and design changes into accurate bills of materials, supplier choices, and construction timelines.

Random key ID matching speeds fieldbus I/O module setup and boot-up while configurable inputs support both PNP and NPN sensors.

Image-processed exposure maps boost edge and thin-feature curing while limiting negative-feature overexposure in stereolithography.

Robot-guided rivet transfer replaces manual adjustment, enabling fast, accurate filling of cartridges with varied rivet geometries.

Synchronized time-series graphs and control trajectories make multi-axis servo tuning easier to evaluate for followability and setting accuracy.

Stored bend data and iterative roller adjustment correct sheet property variation to reach the target radius with less waste.

Operators can choose and reorder apheresis display parameters to match procedure records, reducing clutter and data entry errors.

Hybrid additive-subtractive fabrication produces personalized radiotherapy immobilization devices in hours while preserving precise patient alignment.

Remote pool and spa control uses a web intermediary and simple Wi-Fi setup to avoid firewall ports, static IPs, and Ethernet-based configuration.

By adjusting sweep and reverse-sweep timing from measured current, this case suppresses charge buildup and stabilizes gas sensor EMF.

Weather- and time-aware tint control reduces direct glare and radiant energy while preserving natural lighting for occupant comfort.

Mask templates apply role-based attribute masking in building data, protecting private information without large user-specific access tables.

A unified CNN combines visible, IR, and UV document data to detect hidden security elements and tampering with higher verification reliability.

Correlating staffing conditions with deviation reports enables manufacturing teams to quantify future risk and act before product losses occur.

A two-phase neural network uses simulated data before experimental fine-tuning to improve machining chatter prediction with less measurement effort.

Pre-programmed NFC tags and accelerometer-triggered communication simplify infusion pump input and support faster, more reliable use.

Maps distinguishing points between simulated and measured shaping-process curves to calculate correction parameters and reduce alignment studies.

A moving gantry cuts, drills, and marks stationary beams to avoid complex beam handling while reducing cost, floor space, and programming effort.

Vision-based CAD generation matches damaged blade interfaces and prints extension segments for faster, more precise compressor blade repair.

Exchangeable grippers, cameras, and modular test primitives automate DUT loading across form factors while improving tester utilization.

A dual-motor irrigation drive with variable frequency control keeps full torque below rated speed, enabling continuous movement and uniform water distribution.

FPGA-based sinusoidal signal injection reveals gain and phase margins in digital speed control loops for accurate motor controller stability checks.

A 3D-printed single-piece core replaces assembled engine cores to cut casting variance, remove drafts, and shorten development time.

Human-readable control logic and auto-read controller metadata cut BMS setup effort, repetitive entry, and configuration errors.

Clock drift is corrected between a field device and control unit so process data keeps reliable time stamps without direct time server access.

Frequency and amplitude model functions generate diverse vibrator patterns while reducing stored control data and simplifying long pattern creation.

Chroma-scaled intra prediction aligns mode coding with color-difference formats to improve image decoding efficiency and reduce overhead.

A local delivery command partially opens a garage door for timed drop-off, then auto-closes to avoid internet dependence and security risks.

A mountable expansion board adds selective robot operation data logging to existing controllers, improving fault diagnosis and lifetime prediction.

A Personal Digital Key enables secure auto login and equipment location tracking, cutting login delays while improving healthcare asset visibility.

Joint-force feedback and cooperative control let a multi-link medical robot arm position imaging cameras precisely without counterweights.

Integrated test scripts in an industrial IDE validate control code, HMI, wiring, and layouts together to cut manual testing effort.

Continuous safety-parameter checking across subsystem modules simplifies validation and preserves safety integrity in changing automation systems.

Reducing amplifier gain at foot contact, then ramping it back, suppresses inertial sensor vibration noise and steadies legged robot control.

A KVM-linked robot replicates its display for remote action extraction and precise card reader interaction with fewer task errors.

Position-aware portable displays overlay control data on equipment views, helping users find faulty or maintenance-needed components faster.

A gateway matches agent-captured device and service data with cloud configurations to automate setup and cut manual errors in automation systems.

Physical positive stops and passive joints keep surgical tools light in free motion while enforcing stiff movement limits.

Cooling weakens adhesive bonds before impact detachment, enabling safer, higher-throughput recovery of portable device components.

State-based touch controls show only relevant sterilizer actions, reducing user errors, process delays, and interface clutter.

Automatic trial machining and measurement correct NC programs after tool replacement, reducing manual setup time and dimensional errors.

Protocol monitoring distinguishes critical from non-critical networks, blocking unsafe IoT access during diagnostics and maintenance.

Real-time digital twin models estimate prime mover and generator parameters to improve fault detection, control, and maintenance planning.

A wireless adapter links local irrigation controllers to a remote server, simplifying multi-site schedule updates and status monitoring.

Preverified blockchain transactions let devices from different operators execute command chains securely, without intermediaries or tampering.

Offloading thermal displacement correction to a networked computer improves machine accuracy while reducing device computing load and update effort.

Automatically synthesizes a problem specification and generates multiple feasible 3D design options to widen exploration without manual iteration.

Mirrored sensor data and a learned determination line remove sensor-specific trends, enabling reusable plant state models across different sensors.

Calibration data is sent from a harsh-environment sensor to a protected local controller, enabling accurate signal correction and stable process control.

Dimensional scanning and buffered template selection cut oversized box waste while keeping custom packaging output fast during peak demand.

Combining current sensor health indicators with historical failure patterns improves remaining life prediction and helps time maintenance better.

Checksum comparison preserves only changed robot backup files or file differences, cutting storage use and backup processing load.

Real-time virtual sensor simulation combines with physical sensor data to predict semiconductor process states and reduce monitoring delays.

Automated permissive logic graphics update HMI and SCADA screens in real time, cutting manual screen creation effort and errors.

Continuous glucose and pump data drive silent insulin adjustments that reduce user burden while maintaining safer glucose control.

Networked 3D sensors share object classification and trajectory data across workcells to handle occlusions and speed safety responses.

A hinged two-span bridge uses tension release and spring-biased unfolding to help UGVs cross gaps and raised obstacles without a dedicated vehicle.

Integrated system, policy, and execution models detect IoT rule conflicts and policy violations that static analysis misses.

A client-server secondary application lets multiple devices share one UI and logic instance, cutting memory use in process control software.

Individually addressable sensor clusters and blockchain logging strengthen grid monitoring against cyberattacks while speeding anomaly detection.

Time-weighted checks on status codes and monitored variables help BMS teams detect equipment faults earlier and track health trends.

Tracks drill bit wear by drilling depth and material entry count to avoid premature replacement while maintaining hole quality.

Visual signals from machine tool workspace lighting show workpiece holding status in place, cutting changeover time and operator movement.

Preconfigured primary and backup paths let network devices reroute traffic during controller failure while the original path is repaired.

Probe data adjusts nominal CNC toolpaths to machine variable cast parts accurately, cutting cycle time and dimensional inconsistency.

3D posture estimation from inertial sensors and joint encoders enables fall alerts, rehab feedback, and remote monitoring for robotic walking aids.

Multi-axis deposition and suction removal enable uniform biocompatible heart valve coatings on complex curved molds with high dimensional precision.

Dual operation-quantity monitoring triggers rapid power cutoff in a surgical manipulator when encoder readings indicate transmission failure.

Combining 2D images with 3D point clouds helps conveyance systems measure packages, separate piled items, and prevent breakdowns.

Micro-tomography of AM-built test specimens reveals small internal voids, enabling reliable build quality checks without scanning the full object.

Activity-driven wavelength, sampling, and power adjustment helps wearable optical sensors maintain PPG signal quality while conserving battery life.

Gesture-driven AR lets users move and couple virtual industrial automation devices in real time, improving layout and interaction efficiency.

Dual scale divisions and offset sensors capture angular, axial, and tilt changes in spindles and rotary tables for sub-2 µm correction.

Visual overlays show the selected surgical instrument and switch-linked motions, helping operators stay focused on the surgical site.

Installation site diagnosis data is combined across related steam plant devices to assess group malfunction risk more accurately.

Pressure discontinuities reveal entrapped gas bubbles during adhesive dispensing, enabling nozzle redirection to repair voids in real time.

Seed-key authentication lets authorized tools write ECU software later, cutting variant inventory while keeping configuration control.

Distributed local controllers use robust MIMO feedback to coordinate heterogeneous IP blocks with lower complexity and bandwidth demand.

Two wireless paths with different transmission parameters keep sensor and actuator data flowing despite interference, reducing delay and safety risk.

Inter-rank bus control halts writes on overflow so hierarchical FSM lattices can sustain parallel pattern detection across high-speed data streams.

Multi-subzone guard position detection distinguishes slack from true safety faults, reducing false machine shutdowns and maintenance.

Visualized normal and abnormal time-series data helps users tune thresholds, window width, and point counts for more accurate machine anomaly detection.

Alarm escalation rules detect suspended machine protection, warn operators, and automatically reengage safeguards before faults go unmonitored.

Individually switched PoE controller blocks and MCU deep sleep cut standby power while preserving PD detection and power delivery.

Camera-based body scanning and style analysis generate customized garment designs with accurate fit, broader style options, and less tailoring time.

Real-time worker and equipment location tracking determines unsafe construction conditions, enabling alerts, shutdowns, and debris protection.

By separating fixed control load from data-dependent analysis load, this case estimates safe processing margin for abnormality detection.

Preprocessed and linked timeseries let building energy dashboards switch between raw and optimized data without query-time delays.

Electrostatic electrolaminate clutches let a flexible exosuit modulate force and compliance, improving support without rigid, bulky structures.

Section-based feed axis monitoring reveals overused positions and operation types, improving ball screw and bearing replacement timing.

Automated landing-phase analysis uses fault trees and root cause reasoning to replace subjective pilot review and deliver timely maintenance feedback.

A suppressing circuit disables duplicate processing and comparison during debugging, cutting microcontroller power use while preserving error output.

Forcing a cut-off state when power returns lets the control unit detect faults immediately and keep the system in a safe state.

A management unit links multiple home automation control units to one installation entity, simplifying multi-protocol device control and setup.

Cloud-mediated pool and spa control avoids static IPs and firewall ports while enabling simpler Wi-Fi setup and equipment alerts.