Programme Control TRIZ Cases

See how an HVAC controller uses geographic location input to automatically determine and rank p

See how device controllers store and process time-series data locally, reducing central bandwid

See how HVAC alarm logic distinguishes true service needs from DIY issues by evaluating comfort

See how bidirectional data copying between central management and controllers prevents billing

See how an HVAC controller integrates wired remote temperature sensing with wireless setpoint c

See how a fixed display terminal merges data from multiple control points, adapts to screen ori

See how weighted failure evaluation and control-parameter-based responses safeguard automated c

See how dynamic water level detection and adaptive fill control compensate for low inlet pressu

See how a zone controller calculates duty cycles from thermostat feedback to modulate boiler ou

Local processors and fallback communication help wireless BAS peripherals keep actuators and sensors operating during network failures while avoiding wired installation.

See how foam channels direct liquid to embedded sensors, enabling moisture detection and automa

See how a mobile robot coordinates with home automation to temporarily deactivate security, tra

See how dynamic set temperature adjustment based on indoor temperature trends and power monitor

See how automated defrost cycle parameter analysis and real-time temperature sensing reduce mon

See how directional presence sensors track occupant movement through coordinate mapping and bac

Indoor and outdoor air quality thresholds guide HVAC ventilation alerts and demand-based control, improving air quality while limiting unnecessary energy use.

See how a thermostat fuel control module estimates usage rates, alerts users at low levels, and

See how a building control device computes joint probability distributions from sensor residual

User behavior data helps generate adaptive thermostat profiles that limit HVAC activation when occupants are away and reduce energy waste.

See how a bed logic controller detects user presence and sleep intention to autonomously adjust

HVAC thermostats detect wiring schemes and switch power modes to improve energy harvesting and reduce waste across system configurations.

See how a thermostat uses forecasted weather data to eliminate manual heating-cooling mode swit

Visual feedback during thermostat adjustments encourages responsible HVAC behavior while lowering energy use and related costs.

See how coordinated AHU control integrates occupancy and thermal load data to optimize flow rat

See how an atmospheric water generator collects moisture from air to enable automated solar pan

See how predictive HVAC scheduling uses preliminary thermal mass conditioning and dynamic feedb

See how a thermostat detects wireless activity, calculates dynamic heat rise offsets, and subtr

See how dynamic control mode selection uses learned thermal behavior and environmental context

See how grouping and normalizing data from hundreds of HVAC sensors with standard deviation met

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

Real-time appliance data and user feedback refine cooking programs, helping users reach preferred textures and tastes without expert control.

See how synchronized fan speed adjustment across adjacent air conditioners balances air pressur

Proprietary home interfaces are unified by a multi-protocol thermostat hub that links sensors, controls, alerts, and emergency location services.

See how VAV box sensor data splits whole-building energy into zone-level heating, cooling, and

See how a feedback-based setting apparatus measures actual power consumption and adjusts contro

See how a robot identifies characteristic line segments in captured images to determine orienta

See how a water softening system supplies softened or mixed water to detergent dispensing and w

See how a controller monitors set-point-to-temperature error and its derivative to trigger HVAC

See how feature-value matching from captured images enables autonomous robots to navigate to ar

See how sensor-based fire extinction detection and electromechanical valve control enable remot

See how iterative software modeling adjusts radiator Cv-values to correct temperature deviation

See how automatic inference of HVAC equipment details from controller configurations triggers t

See how near-field token communication enables secure remote programming of heater temperature

Priority-weighted indoor-unit requests and standby timers let one outdoor heat pump switch modes without waiting for every zone to agree.

See how a master thermostat transmits configuration data to multiple target devices, reducing s

See how a controller transmits only changed telemetry subsets by comparing current and previous

Encoded control signals over existing HVAC wiring enable variable-speed motor operation without wiring upgrades.

Variable demand-response levels let household appliances reduce energy output during peak rates while preserving user convenience.

A GNSS pulse and positioning data controller centralizes absolute time calculation, improving Ethernet and CAN synchronization while reducing node load.

A stacked non-linear spring assembly adjusts blade position and cutting force to handle different materials with higher accuracy.

Pre-characterized material segments guide rolling and annealing settings to improve metal workpiece precision while reducing defects and waste.

A slave clock uses a time jump plus phased interrupt-trigger shifts to match master time without disrupting real-time cycle continuity.

Climate and energy data are combined to rank buildings, helping teams target retrofit projects with lower cost and higher impact.

A gateway uses behavior trees and causal networks to filter low-value IIoT alerts and focus risk analysis with limited computing resources.

Automatic transfer of industrial device IDs and error codes over a voice call cuts transcription errors and speeds remote troubleshooting without internet.

A distributed ledger records build files and material provenance to verify additive manufacturing history and support certified parts.

Role-based filtering and AI agents route only relevant building data to AR command interfaces, cutting waste and limiting sensitive access.

Automatic transmission of automation device IDs and error data over a voice session avoids manual call entry when internet access is unavailable.

Forecast-accuracy feedback adjusts peak power, ESS scheduling, and HVAC operation to cut logistics center energy waste and supply risk.

Multi-arm followers center ceramic honeycomb bodies at single contact points, improving 3D alignment before post-processing and reducing variation.

Automatically configured KPI widgets combine location, parameter, and threshold data to simplify multi-location infrastructure monitoring.

This case combines in-vehicle network topology with imperfect anomaly results to identify likely intrusion interfaces and target ECUs.

Synchronized central and local networks keep multi-rotor wind turbines deterministic and safe, even during maintenance or partial system absence.

Behavior tree orchestration maps microservices to runtime nodes, cutting coupling and simplifying service updates and deployment.

Correlated multi-dimensional state data and reference modeling enable online process equipment monitoring for earlier fault detection and better maintenance timing.

Real-time AC balance and offset control in submerged arc welding boosts penetration and deposition while limiting hot cracks and HAZ changes.

Captured images of the downstream unit give operators a clear center reference, reducing alignment setup complexity and improving accuracy.

Remote handheld control shifts complex fluid treatment logic off the unit, cutting maintenance needs while enabling multi-system monitoring.

Visual compositor nodes replace text-defined workflows, simplifying OT logic control, reducing development time, and improving flexibility.

Combinatorial discrete inputs let area monitoring devices switch among more safety zones without adding complex wiring or unsafe selection logic.

Pre-checking user, device, and environment data helps smart devices block unauthorized actions and adjust operation safely.

Program origin is set from jaw and workpiece models to improve NC lathe simulation accuracy and cut setup and interference-check time.

Margin points placed along modeled gingiva define a spline trimline for CNC-cut aligners, reducing manual trimming and edge variability.

Clear mode indicators and sensor checks help lock hydraulic machinery into safe service or operation states before maintenance begins.

A multilayer network links physical, logical, and functional domains to speed mechatronic fault diagnosis and reduce repair time and cost.

A modified relay feedback test tunes buck converter PID control in one online step while preserving stability and target phase margin.

Nameplate matching authenticates modular control components, flags conflicts, and supports reconfiguration without faulty parts.

A mediator interface converts generic update data into control-specific configuration sets, automating NC machine tool software updates.

A TOF sensor array defines safety zones and filters dust-related detections to cut false stops around woodworking machines.

Surface textures are added by modifying print paths after slicing the base model, cutting re-slicing time and computing load.

Electronic tags and multi-dimensional radar improve indoor device and object tracking accuracy while managing smart home communication complexity.

A DSPI module emulates CAN FD Light, LIN, FlexRAY, and DSI3 to cut microcontroller cost while preserving protocol support.

Independently controlled grippers lift blanks while adjacent downholders restrain the web to prevent edge sticking and preserve blank position.

An AI model evaluates field device identity and function data to automate login approval, cutting admin effort while maintaining secure authorization.

Automatically correlates machine, observational, and text data across lifecycle phases to replace manual collection and expose end-to-end manufacturing flow.

Offset support members outside the 3D product to equalize support lengths, reduce uneven cuts, and simplify support removal.

A host subscribes to sensor parameters and receives streamed updates, cutting menu-page wait time over latency-prone links such as Bluetooth LE.

A unified sensor platform identifies hydraulic state changes and subcomponent faults early, enabling proactive maintenance and less downtime.

A central processing management layer coordinates mounting, balancing, and presetting instruments to automate complete tool preparation.

Selective fingerprint parameter filtering speeds avionics configuration checks while reliably detecting unauthorized network changes.

Synchronized certificate revocation lists on operator station servers keep plant components updated and avoid outages from server access changes.

Generative AI creates and screens synthetic building data for regulatory compliance before equipment operation, improving efficiency and comfort.

Mobile robot imaging checks shelf products against planogram templates to spot mis-stocked or missing items and issue restocking prompts.

Stored signal port settings and a use flag let molding machines reconnect external devices without manual reconfiguration.

Process-data digital twins extrapolate motor lifetime energy use and wear, helping engineers avoid poor dimensioning and excess maintenance.

Automatic hysteresis measurement lets an electromechanical servo gauge detect drum friction in the field and maintain accurate liquid level readings.

Contextualized device health metrics reach HMIs, tablets, and phones, giving shopfloor technicians real-time maintenance insight without dedicated monitors.

Visual sequence templates and plausibility checks simplify NC machine tool programming while reducing G-code errors and collision risks.

By splitting process conditions into operating and state parameters, the model avoids overtraining and predicts product quality more accurately.

Converted images from one tool type train wear detection for another, cutting manual data collection and adaptation effort in machining.

Port-aligned LEDs visualize I/O status on a toy robotics control unit, making complex builds easier for children and new users.

Dynamic burst-to-broadcast bandwidth allocation cuts automation network latency while carrying high-throughput sensor data over mixed media.

A configuration sensor feeds a control unit that retunes a productive sensor in real time to preserve measurement quality under changing conditions.

Centralized schedule and setpoint templates keep cloud-connected building equipment aligned across sites while supporting fault detection and secure diagnostics.

Sensor feedback from drill power or torque detects medullary cavity entry and automatically stops the driver to avoid backwalling.

Socket signal analysis lets a conveyor control unit identify sensors and drives automatically, reducing manual setup time and downtime.

Machining state and measured beam intensity distribution are combined to assess breakage thresholds accurately without Gaussian assumptions.

Low-frequency processing force analysis enables accurate tool failure detection without extra sensors, even when spindle torque is small.

Inspection counts and manual review data are used to suggest better product testing thresholds, cutting repeated recalibration time and cost.

Clusters routine model parameter data to detect when a paper machine or other process no longer matches its control model without disruptive tests.

Buffered look-ahead divides machining blocks and inserts retraction and return paths to avoid tool interference during unstable external data transfer.

ML-based monitoring of critical execution nodes predicts faults early and triggers proactive action to avoid downtime in safety-critical embedded control.

Routes 2D image and 3D modeling jobs to the most suitable printer by matching data type, device attributes, and user instructions.

A dynamic management technology image tracks non-linear system changes, enabling accurate monitoring and AI-guided control of adaptive cyberphysical systems.

Redundant cover and book-block printers with buffers keep pages synchronized for fast on-demand book binding across varied formats.

Distance-based image detection triggers staged voice prompts and wake-up, helping dormant smart devices attract and guide nearby users.

Sensors track film width and shift shrink tunnel shaft walls to keep hot gas spacing stable, reducing wrinkles, tears, and weak pack hold.

Stochastic simulation estimates entropy-driven cycle and processing delays to size shovels and haul trucks for mining production targets.

A central bin cavity and in-body rolling layout reduce lifting torque, preserve speed, and improve stability in dense storage systems.

Cloud-based irrigation scheduling adjusts watering times for landscape events and weather changes, reducing manual controller work and water waste.

Cloud-based CBM and uncertainty analysis validate ultrasonic flow rates in near real time, helping prevent meter failures and downtime.

Assumption broadcasts and correction replies keep shared valve and sensor states aligned across irrigation controllers while cutting network traffic.

A shared control unit loads machine-specific calibration files to correct sensor and actuator drift and keep ozone output consistent.

Continuously changing authorization data lets wireless access readers verify current user rights without complex secure hardware.

An embedded gateway diagnostic driver captures field-device messages during faults without interrupting industrial control communication.

Classified storage testing lets a controller trigger reliability checks from sensed conditions, helping protect critical vehicle data before faults affect driving stability.

Automatic access-triggered analysis segments configuration data, converts formats, and speeds parameter loading in networked automation systems.

Predicting tilt edges and moments lets laser cutting systems reposition supports to prevent cut parts from tipping and colliding.

Switchable communication filtering lets industrial controllers update port rules during operation, reducing production loss while maintaining security.

Automated rule checks flag inefficient tag usage, overlapping tasks, and naming issues in industrial automation project code.

A pulse-pattern single-wire safety circuit replaces dual channels while carrying diagnostics and device health data with high monitoring reliability.

Multi-sensor composite inspection detects defects during layup and after curing, enabling real-time alerts, process adjustment, and less waste.

Time-stamped program-flow events are sent from automation devices to a central analysis unit to verify synchronicity and diagnose runtime errors.

AI checks lifecycle stage, compatibility, and design rules to recommend replacement automation components with less manual review.

Streaming analytics selects relevant aircraft sensor data, compares it with historical models, and flags likely failures fast enough for proactive maintenance.

A guide member bends welding wires and hoses through a rotating part opening to keep a large radius without enlarging the robot.

Buffer voltage and shunt current detection help two-wire field electronics manage stored energy and keep critical sensor modules running.

A controller estimates calculation cost versus expected savings, updating parameters only when efficiency gains exceed self-power overhead.

Sensors, PLCs, and smart valves link RV site reservations to secure activation of power, water, and sewer hookups without on-site staff.

A semantic ontology layer unifies siloed building system data, enabling cross-domain querying, updates, and reciprocal operation.

Declarative process models replace rigid automation logic with configurable roles, states, and triggers for workflows that mix automated and manual steps.

Dynamic safety monitoring decelerates a robot only when velocity limits are exceeded, reducing unnecessary stops while maintaining safe operation.

Cloud dashboards unify machine state and production data for real-time OEM monitoring across plants without slow on-site collection.

Security gating checks CAN controller activity before clock disable, blocking malicious message injection and bus disruption.

Oil volume is calculated from each workpiece's cutting time and replenished at a minimum tank level to avoid depletion and machine stoppages.

Representative candidate evaluation narrows robot placement options to cut computation time while preserving workspace layout quality.

Real-time image monitoring and reinforcement learning predict off-spec output and adjust downstream station logic to improve manufacturing consistency.

Position-aware mobile control identifies nearby home-automation equipment for simpler operation, secure authentication, and faster setup.

Visual input icons linked to circuit views help inspectors record the correct hydrogen station meter and inspection point without omissions.

Timed interrupts let PLC application code pause within each task cycle and resume later, avoiding source edits while preserving control performance.

Integrated temperature sensing, control, and alternating machining help laser cladding maintain dimensional accuracy despite thermal expansion.

ROI-based video analysis detects employee gestures, maps them to scheduled tasks, updates completion status, and alerts managers.

Dynamic connectors and a shared data space let real-time modules in different languages exchange variables without restart.

Cluster-based sequencing and pre-equipped changing table sets cut SMT line waiting time and raise PCB pick-and-place throughput.

A hierarchical navigation tree organizes plant apparatus information by node context, reducing master display complexity while keeping relevant data visible.

Simulation-based correction data initialization cuts repeated control-object operations while preserving learning control accuracy.

Sequence numbers and address IDs let the requester verify safe data replies without fixed link configuration in changing communication networks.

Adjusting wind wheel speed and torque from turbulence intensity keeps fatigue loads within limits without shutting down power generation.

Electrical continuity checks verify the pyrotechnic safety module before blade power is enabled, preventing operation when protection is unavailable.

Interactive waypoint capture lets a mobile robot fit geometric figures and mark roads or fields with less worker exposure and pre-marking time.

By estimating soil water levels and irrigation rate, the controller fills each zone before no-water periods to cut waste and avoid overwatering.

Manifold alignment maps robot operating data into a common subspace, enabling accurate health monitoring across changing tasks without downtime.

A shared security function is detected and applied across all field-device interfaces to block unauthorized access and avoid misread data.

Separating robot and end effector vibration data enables more precise motion adjustment and better vibration reduction in high-speed robot operation.

Operator-applied force is mapped to one selected robot-arm freedom, simplifying manual pose adjustment while preventing unintended motion.

Active damping with state-space control and Kalman-based state estimation suppresses CMM vibration errors during fast positioning.

Building shadow and light models notify occupants when to adjust shades, improving daylight, comfort, and energy control without full automation.

Parses and tokenizes unstructured application-stack errors to match knowledge-base fixes and automate bot-led issue resolution.

Machine learning models simulated dangerous plant states to set operation parameters automatically, improving safety while reducing operator error and cost.

Combining tissue data and paraffin block measurements, this case shows automatic parameter generation for flexible pathology section preparation.

A sensor-controlled brake and pulley keep exercise speed constant while letting users vary force without counterweights.

A low-speed approach followed by contact-triggered acceleration helps robot grinding control force and avoid scratches or grooves.

Real-time AR path overlays let users detect collisions with robots, people, and machinery and modify trajectories more safely.

Embedded clothing and accessory sensors capture activity, environment, and body state so mobile devices can deliver contextual recommendations without user interaction.

A laser-guided welding torch adjusts path points and torch attitude in real time to weld bent lines continuously and maintain bead shape.

Magnetically cured fluid in a soft-film fork matches blisk blade surfaces to add damping and local rigidity during machining.

Embedded triggers in audio or video streams let a media player fetch 3D model files and send them to a printer without manual file search.

Distributed water and soil-moisture sensors use long-range wireless links to track flood irrigation progress and reduce uneven watering.

Orthogonal AC actuation and line-search feedback stabilize coupled photonic circuit DOFs with fewer probe points and scalable tuning.

Pre-validating which IoT devices can execute a control transaction helps blockchain systems balance fast processing with transaction integrity.

Adjusting series regulator voltage drop by input voltage improves interference immunity, input impedance, and bus capacity.

A centralized NFC center stores device data, updates, and service links so users can manage multiple NFC products in real time.

A decoy server captures and forwards hacker sessions through a virtual port, preserving activity logs without exposing the recording means.

Distributed one-shot timers in serial I/O control devices enable time-division sensor acquisition without time event queues, reducing controller CPU load.

Wi-Fi valve control replaces Ethernet cabling while using schedules and moisture feedback to automate watering and improve water management.

Precomputed lattice simulations flag collision-prone arm and instrument postures, enabling real-time interference prevention without slowing surgery.

A portable terminal uses 3D image recognition to identify controllable robot objects, avoiding tedious menu navigation during commissioning.

Adaptive bucket selection uses maximum-sample and empty-bucket trends to improve histogram alarm accuracy and cut false alarms.

A generic robot trajectory format translates one programming model into vendor-specific instructions for coordinated multi-robot workcells.

Combining peer, simulation, and operational data lets sparse industrial assets be modeled early for more accurate failure alerts and prediction.

Surface speed and torque feedback cut stick-slip by reducing upgoing rotational wave energy without sacrificing drilling rate.

Force-controlled movement with motors, encoders, and a load cell improves surgical drilling accuracy while reducing manual effort and procedure time.

Operators can change signal progress and output levels during testing to shorten maintenance time and verify missed output intervals.

Color-coded spindle-side and table-side graphics clarify manual axis movement in NC machine tools and help prevent tool-workpiece interference.

Data-diverse interfaces and device-side check values validate field device parameters over insecure networks while preserving functional safety.

Camera-based flame analysis enables real-time burner adjustment to prevent hydrocarbon fall-out under changing flow and field conditions.

Offline-trained transfer functions let parallel processing units characterize equipment behavior in real time without high-bandwidth raw data handling.

An embedded MCU redirects I2C to internal memory so a light sensor chip can switch from slave to host mode and cut dual-CPU cost.