Computer Control TRIZ Cases

Automatically generates inverse rules from forward mappings to handle complex sensor inputs and drive physical actuators with reliable control.

A current-sensing comparator and microcontroller let one output module protect AC/DC loads across 24V to 240V while reducing module count and cost.

PWM, isolation, and programmable thresholds let one discrete I/O module handle 24V to 240V AC/DC without multiple dedicated cards.

Networked signal units relay remote sensor events to a central controller, cutting wiring and site visits while enabling real-time alerts.

Adaptive motion thresholds and human-like signal analysis improve occupancy detection accuracy while reducing false triggers in automated spaces.

Virtual operation images replace dedicated switches, cutting control panel cost and complexity while improving visibility for manual drive-shaft control.

Kinematic checks on velocity, acceleration, and jerk smooth 5-axis CNC toolpaths, reducing tool damage risk and improving finish quality.

A learned causal structure matrix links observable data to failure causes, cutting manual investigation time in autonomous fault handling.

A shared time axis links machine tool locus data with sequence variable history, reducing screen switching during FA debugging.

Temperature signals and tolerance data feed a cloud model that updates thermal compensation in real time to keep machine tool precision stable across regions.

Expanded local tolerance ranges let turbomachine blisk features pass classification in reproducible deviation zones without raising rejection.

A selected appliance control unit handles external data exchange and firmware updates without a separate buffered communication module, cutting cost and complexity.

Reuse data from qualified components with shared geometric features to model physics equivalence and shorten manufacturing qualification.

Non-contact mobile sensors capture plant and microclimate data early, reducing scout-driven disease spread and enabling predictive crop intervention.

Containerized edge processing separates plant analytics from control hardware, enabling secure data handling and faster program updates.

When repeated device actions across a facility take too much time and effort, collective control suggestions cut operation cost and movement.

Selective coil shutdown by section prevents unintended cart motion in human access zones while keeping other track segments running.

Imaging-based gait and behavior recognition identifies enclosure users and automatically adjusts lighting, temperature, and tint to improve comfort and energy use.

Predictive cooling fluid control pre-cools weapon LEDs before emission, stabilizing temperature while avoiding continuous energy use.

A rotating tool is scanned through a light beam to measure all cutting-edge lengths in one pass while filtering coolant and swarf disturbances.

Fitness and tool sensor data are compared to adjust drive speed, helping outdoor power equipment match user capacity and reduce injury risk.

Operator proximity and behavior data drive selective HMI alerts and displays, improving machine interaction while reducing energy use.

Wireless signal-quality data and pre/post-fall activity metrics improve fall type classification while reducing false alarms from interference.

By comparing transfer time and variation, the controller picks PIO or DMA by data size to shorten communication cycles and stabilize processing.

Predefined zone scenes let users store and instantly recall synchronized multi-room audio groupings without manual reconfiguration.

A rack controller detects chassis cooling failure and reallocates pump and manifold resources to maintain cooling and support redundancy.

Preplanned springback compensation creates a continuous hemming path, avoiding repeated re-measurement while preserving shaping accuracy.

Optical ID reading and sensor-guided docking improve tractor-trailer pairing accuracy, even with multiple assets and configurations.

Preloaded configuration files let control units auto-enable wafer-processing slaves and load apps, cutting setup time and human error.

A simplified axis model captures dominant inertia and damping for online commissioning and faster motor drive validation before installation.

Operational log analysis detects mechanic presence in an elevator hoistway, enabling safer remote car operation and service verification.

Operational log analysis detects mechanic presence in the hoistway before remote elevator car operation, reducing service safety risks.

Annular ring discretization shortens tool paths for meter-scale aspheric lens machining, improving accuracy, efficiency, and tool life.

Repeated presence-area estimates are compared over time so control can use the most frequent result and resist multi-path interference.

Visual connection tracks let users link networked smart home devices in one interface, cutting page jumps and setup time.

A cloud-edge ingestion architecture normalizes diverse industrial data and scales analytics from devices to enterprise dashboards.

Activity-based exercise energy is combined with body weight estimates to improve pet feed quantity recommendations and health management.

Calculates tertiary heat flux and final surface temperature from milling and orthogonal-cut data to screen unsafe machining parameters.

Triggered backups sign load control configuration files and send them through isolated network devices without disrupting ongoing operations.

Multiple storage compartments, cashless payment, and a drone station let one vending machine stock diverse items and deliver them remotely.

Maps network devices onto a physical environment model using UWB positioning and device data to simplify identification and reduce control errors.

Beam-steered radar separates chest and abdomen motion to detect paradoxical breathing during sleep without contact.

Reusable profile templates and device data models let one industrial IDE generate consistent device views while cutting duplication and integration effort.

A machining program generator maps rough or finishing selection to time, accuracy, feed-rate, and magazine-turning commands.

Virtualized control logic shifts across shared plant computing resources to improve fault tolerance, load balancing, and runtime flexibility.

A Y selector switch taps IO-Link sensor data for a separate receiver while sending extracted binary signals to analog-only controllers.

Camera-based monitoring converts papermaking device states into data to predict non-stationary conditions and prevent paper defects.

Short aliases replace complex system paths in access requests, simplifying data retrieval while adapting to control system changes.

Dynamic EDM condition switching targets unmachined areas between rough and finishing passes to improve accuracy without sacrificing throughput.

Develop control logic as reusable smart objects, then assign and export it to multiple controllers without early controller binding.