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.

Dynamic flow rate control fills varied ophthalmic lens molds quickly without overflow, reducing flow disturbance and operator exposure.

Geographically distributed personal devices detect disasters and crimes in real time, then deliver context-specific alerts and commands.

Hierarchical mobile-network reporting makes distributed power storage status easier to gather, understand, and manage across smart grid assets.

Pre-integrated contextual data in wellbore workflow steps cuts manual retrieval delays and supports faster, more accurate operational decisions.

Periodic vibration sensing and reporting reveals gas pressure regulator faults early, improving remote monitoring and operational reliability.

Reinforcement learning adjusts spindle speed, feed rate, and cutting depth to cut machining time while maintaining accuracy and tool life.

Cloud-based route data integration links distributed manufacturing steps to detect issues early, reduce waste, and improve yield.

Pre-set and feedback-adjusted delay times keep reproduction and distribution devices synchronized despite network encoding delays.

Pre-stored data tables and guided browser steps simplify gas meter proof setup while preserving accurate, compliant testing.

A unidirectional data diode and interest lists stream only approved process plant data to external systems while blocking cyber intrusion paths.

Optical monument-point alignment replaces complex fixtures and manual QA in NC machining, improving tolerance checks while cutting rework.

Wireless app control links inflation, lighting, and speaker functions in one inflatable system, improving usability and scheduled operation.

A processing module captures kinematic signals from multi-axis CNC machines to record movement patterns.

A duplexed control system uses a tracking bus and transmission channel changeover to confirm partner device states.

Pre-processed plant data specifications update control set points, reducing ramp-up times and improving fault detection in thermal power plants.

A trajectory calculating unit computes moving paths on coordinate planes using inter-axis phase differences and feedback signals.

Combines passive spring dynamics with active force control to maintain stable running gaits on uneven terrain while minimizing energy consumption.

A wireless sensor network system uses mesh routing and auto-discovery to enable dynamic energy management across large-scale building environments.

A service providing system selectively places input/output devices into standby mode based on specific service requirements.

Segmenting the communication module from the application module allows independent protocol replacement, reducing installation time and maintenance complexity.

A programmable controller uses an external storage connection interface to authenticate identification information before accepting control commands.

An NFC-equipped oral care cartridge authenticates contents and adapts appliance parameters, resolving reliability issues from counterfeit agents.

Pressure and temperature compensation corrects biomass inventory measurements, enabling precise biofuel production control without overflow risks.

A master device synchronizes slave timer counters to align event logs across an industrial network.

Electric motors and sensors enable remote control of high-placed compartments, resolving strain from heavy doors.

A switching control unit sets the transmission gear to a highest allowable driving force range during automated to manual mode transitions.

A reliability-based control system defines a green zone to manage automatic generation control operations within power distribution networks.

A virtual I/O module copies output data from one PLC to another via a peripheral board interface.

Standby control segments machine tool components to maintain optimal temperatures, reducing warm-up time and preserving processing accuracy.

A network of interconnected sensor-actuator units monitors and controls sanitary facility water systems via internet communication.

A main controller retrieves device-specific interface data to display on a shared screen only when needed.

An integrated circuit connects sensors to a remote server via wireless and I/O interfaces for generic control.

A production program creating system models component mounting devices in a database to acquire configuration information for generalized processing.

A position control apparatus calculates an inversion compensation amount using stored deflection characteristics to adjust the position command value.

Cross-device computation verification identifies defective CPUs without adding hardware, resolving the reliability versus scale trade-off.

A remote control system detects communication interruptions and changes appliance state based on interruption duration.

Pre-calibrated adjustment dial compensates for projectile drop and crosswind deflection, eliminating manual calculations to improve shooting accuracy.

Automated SMT component database generation links PCB design files with local data to streamline programming workflows.