Computer Control TRIZ Cases

Minimal association data links site records across manufacturing steps, cutting storage needs while preserving traceability and analysis.

A shared-memory mediation layer coordinates command values across multiple controllers, removing manual timing adjustment in factory equipment.

Dynamic signal remapping lets a state machine shift functions without CPU overload, cutting SoC task delays and power use.

Variable dresser positioning across tool width enables precise gear tool surface modifications, including profile angle and radius control.

Separating execution and reference rights lets operators switch view-only screens without weakening control-device security.

Adaptive learning tunes acceleration and deceleration command shapes from real motor response to speed positioning without exhaustive search.

Direct Wi-Fi control and optical IP setup let lighting loads be programmed from smartphones without relying on wired control links.

Real-time image analysis and pose estimation let moving farm equipment detect weeds and direct treatment only to target plants.

Barrier droplets formed by electrowetting block species migration through oil, protecting nearby AM-EWOD droplets during storage.

Natural language voice control replaces device IDs and multiple apps, simplifying command routing across connected home electronics.

Conflict priority and effective time windows let IoT actions gain exclusive target access, preventing clashes and improving execution efficiency.

A pipe-mounted turbine harvests energy from gas or water flow while sensors and AI regulate flow to cut waste and support smart home control.

Captured downstream images with on-screen guides simplify center alignment, improving accuracy while reducing setup complexity and adjustment time.

Local stream processing and virtual-device analytics cut cloud latency and bandwidth while enabling immediate building condition responses.

Metadata-driven transition sequencing blends adjacent audio content, removing gaps and adapting mood, tempo, and energy to listener preferences.

Two independent handlers lift non-target and target containers separately, cutting digging time while preserving dense automated warehouse stacking.

Cumulative wear calculation and cavity sequencing let die-sinking EDM determine the right electrode count while reducing waste, cost, and replacement time.

Synchronized CNC channels adjust spindle speed differences from tool dimensions to keep toolpath endpoints aligned and reduce collision risk.

Two coordinated grid robots shift overlying containers aside so target bins can be retrieved faster from dense stacked storage with less digging.

Remote site monitoring flags switchable optical devices, sensors, and controllers outside expected ranges, then adapts control to user and energy goals.

A software abstraction layer links kitchen equipment to automate customized pizza preparation while preserving quality, speed, and service consistency.

Using vehicles as mobile sensor hubs, this case shows how V2E links remote infrastructure to real-time monitoring and lower maintenance effort.

Neural-network demand prediction and habit modeling let home appliances act in advance, reducing user intervention while matching preferences.

Flow-diagram evaluation with configuration data automates automation and electrification planning, cutting manual effort in complex process plants.

Simultaneous milling in separate workpiece zones speeds machining of elongated metal parts while coordinated control manages multi-unit complexity.

Independent spindle speed and axis adjustments keep matched tool paths synchronized, reducing collision risk in compact multi-spindle machining.

Sensors and cameras detect personnel count so a delivery unit loads the right quantity and moves goods to the target position automatically.

Temperature-corrected component state waveforms help detect excessive resource loads and avoid false alarms from thermal drift.

Load-based parameter monitoring adapts machine tool speed and acceleration profiles to raise throughput without exceeding safe load limits.

Cross-checking object position from onboard and alternative sources prevents disguised or disturbed data from causing erroneous cyber-space projection.

Visual grouping of paired output channels lets a building controller position actuators precisely while preventing conflicting open-close commands.

Current and position feedback estimate inertia and control gain, cutting servo tuning time with little motor movement and no extra computer.

Virtualized control logic and software-defined networking reallocate plant resources in real time to cut hardware dependence and maintain continuity.

By isolating the cutting section most tied to measured dimensions, this case improves prediction accuracy for curving and partial machining.

Adjusts multi-device operation sequences to user fatigue, health, and age, balancing automation with user satisfaction.

A gateway-driven setup cycle identifies inactive yarn feeders from alarm signals, then disables their monitoring to avoid unnecessary warper stops.

Four linked modules unify monitoring, maintenance, AI, and energy control to predict anomalies and automate equipment and building operations.

Low-intensity UV with presence sensors disinfects contact surfaces continuously while shutting off near users and enabling network monitoring.

Ontology rules derive sensor, appliance, and controller relationships to cut building automation commissioning time and specialist effort.

Composable controller modules let autonomous networks sense, decide, and reconfigure online to handle emerging issues with minimal human intervention.

Automatic comparison of pipetting operation and context data creates traceable log records that validate lab routines and flag deviations.

Signal fingerprint localization links distributed devices to floor-plan positions, cutting manual walkthrough time and registration errors.

An I/O server mirrors inputs across containerized controllers and forwards the active output set to improve plant control flexibility without dedicated hardware.

A display size controller resizes the screen to match each application, reducing manual adjustment and improving viewable area use.

A common data model unifies native plant data and dynamic views, cutting engineering effort for cross-system fault analysis.

Separating used and unused feeders into supply and collection zones cuts loader travel and feeder changeover time in component mounting lines.

Trained AI combines process parameters with 2D and 3D target-geometry maps to predict dental machining time for undercuts and complex restorations.

Automatic Sabbath mode uses Hebrew calendar timing and restricted sensors to switch power safely without manual intervention.

An intermediary device streams updated control parameters to an infusion pump, reducing manual adjustments as user needs change.

Coordinates robots and packing rules to sort goods by customer-preferred destinations, improving bagging accuracy and delivery placement.