Computer Control TRIZ Cases

Hydrophilic and hydrophobic fiber grids with adjustable arms help collect and store water reliably in unstable, water-scarce environments.

Context gathered before a visitor reaches the door enables accurate identification, fewer false alerts, and relevant response options.

Soft-sensor values are updated and annotated with control context in the PLC, enabling early quality detection with lower storage and bandwidth demand.

A suspended motion platform with winches, rotation, damping, and multisensory cues improves realism for flight and falling simulation.

A common protocol layer lets one CMS manage multi-vendor outdoor lighting networks while preserving vendor-specific control and verification.

When a feeder runs short, the system selects a same-type feeder at a position that preserves simultaneous pickup and keeps mounting lines running.

Beacon IDs, GPS data, and trusted certificates let mobile devices verify vaping policy beacons and block spoofed restrictions.

A single-feed-rate tool path cuts and skips surface discontinuities to prevent overshoot and stabilize ophthalmic machining.

Dual functional robots move lamp parts across gluing, fastening, and test stations to cut waiting time, manual handling, and assembly cost.

Electronic tags and CAM-linked tool data let machine tools verify turret setup, locate missing tools, and reduce manual search time.

Cloud gateways and interactive asset models help map complex industrial automation environments for remote monitoring, troubleshooting, and optimization.

A decentralized ledger records alarm remediation steps across building systems, reducing manual handoffs and enabling trusted compliance audits.

Camera and tag-based trolley tracking logs accessory use and location in real time to prevent loss, theft, and replenishment delays.

Status-based temperature parameters let cooling elements respond before sensor lag catches up, reducing overheating and unnecessary wear.

Preselected dosage-form access cuts medication waste and simplifies variable-dose dispensing while keeping clinician access tightly controlled.

Cloud-based information models let non-experts update industrial asset monitoring schemes quickly across varied plant infrastructure.

Dirichlet-based concentration parameters support both class prediction and out-of-distribution detection for safer control of sensor-driven systems.

An intermediary add-on function layer lets industrial devices invoke reusable external library logic with less code tailoring, memory use, and delay.

Self-learning monitoring predicts batch end time and fouling in beverage plants to schedule cleaning, cut energy use, and avoid downtime.

Automatically formulates EMPC models from plant layout data to optimize interconnected energy assets and cut central plant operating costs.

Distributed control systems rebalance processing loads in real time to ease production bottlenecks and lower energy use in industrial automation.

Measured and virtual transfer functions are compared to remotely detect audio signal path faults without skilled manual testing.

Usage-based disinfection timing uses beverage volume and temperature to prevent germ growth while reducing energy and agent consumption.

Time-dependent reference temperatures adjust gas storage pressure to prevent overpressure and use accumulator capacity more fully.

Barcode-guided dispensing selects medication-specific flavoring and reconstitution water to speed preparation and improve liquid medicine palatability.

An open-loop engine model compares synthesized and measured parameters to detect in-range effector drift and maintain target conditions.

Historical hole data and repeatability ratings let automated drilling machines pre-feed grip-length fasteners without stack-thickness measurement delays.

Power is shifted across application phases based on scaling response, cutting stranded power and improving runtime within a fixed energy budget.

ML models turn HVAC vibration waveforms into condition scores, enabling automatic maintenance scheduling and setpoint changes.

Sensor-actuator correlation builds trigger and action graphs automatically, reducing manual rule setup as home device interactions grow.

Variable temperature sampling lets fan speed respond quickly under high load while limiting rapid fluctuations and noise during normal cooling.

Two independent sensor evaluations are compared in the control system to verify error-free transmission over one serial connection.

Voice biometrics and secure profile containers route each request to the right home device while protecting shared-user privacy.

A main sensor relays data from additional sensors to a separate evaluation unit, cutting PLC integration cost and complexity.

Machine learning ranks connected devices by priority so smart plugs can cut nonessential loads while keeping critical equipment powered.

A universal communication node queries needed attributes, registers monitoring plans, and returns process data without custom tool software.

Decoupled cutting-force components from spindle vibration data reduce false wear alarms under changing machining loads and roughness limits.

Real-time temperature feedback and operating data keep molten steel flow in range, reducing impurity mixing and casting defects.

Sensor-based workpiece checks compare actual properties with cutting plans to stop wrong loads or adapt plan sequence before laser cutting.

Active traffic perturbations and model-based validation detect stealthy manipulation of industrial control inputs and outputs in real time.

Sensor alerts trigger room-level HVAC, humidity, and lighting changes to mitigate airborne infection risk in medical facilities.

Automatic Bluetooth pairing lets an electric toothbrush wake from low-power mode, link to a mobile app, and exchange coaching data before brushing.

Breaking large cause-effect matrices into monitor and effect blocks simplifies safety logic setup, validation, and error detection in process plants.

Containerized compute fabric and nested VPNs secure industrial control connections while reducing Purdue-model network complexity and latency.

Classified control messages let composite controllers coordinate multiple melters and applicators for more consistent bonding and less adhesive waste.

Suggested HMI actions with automated execution help IPCS operators handle alarms and maintenance faster with fewer interface steps.

A controller tracks seaweed growth and automates harvesting, cleaning, and re-seeding of a substrate loop to cut labor and improve yield.

A cloud gateway splits local and cloud analysis to correlate plant, event, and employee data and flag deviations before downtime grows.

Two-level diagnosis separates rough alerts from detailed fault data, improving abnormal part identification while reducing machine tool controller load.

Real-time sensors track spray ratio, pressure, and temperature to flag threshold breaches and keep spray output consistent and safe.