Computer Control TRIZ Cases

Sensors on the supporting device detect joining-axis tilt on curved surfaces and auto-correct head orientation for consistent joint quality.

Selectable sensor modules convert diverse sensor signals for one controller, improving compatibility while reducing architecture complexity and cost.

Seed positions are used as references to detect applied material and trigger closed-loop control, cutting waste between plants and improving placement accuracy.

Embedded emulation modules let industrial controllers share firmware-matched logic models for faster virtual validation with less maintenance effort.

Tailored lighting, sound, temperature, and other stimuli are predicted from user attributes and task goals to improve performance and reduce stress.

A mobile BAS app remotely diagnoses building equipment faults, sends corrective control signals, and verifies resolution to cut downtime.

Automated DCP generation and validation for semiconductor tools cuts manual setup time while preserving accurate data collection.

Randomly reusing one source workpiece ID lets a welding system keep traceability without adding identifier management complexity.

Separate channels for restricted and unrestricted UAV payloads prevent accidental activation while keeping deployment fast.

Aggregated adaptive online models improve virtual metrology with sparse semiconductor data, handling drift and boosting yield.

Water rise rates measured before pump start and after shutdown reveal outlet backflow, enabling sump pump control to prevent flooding.

Centralized processing of raw sensor packets improves process variable accuracy while reducing sensor electronics, security exposure, and replacement effort.

A spring-biased hinge and magnetic closure keep dual displays compact when shut, then release them to open smoothly to a set angle.

Built-in arc monitoring uses internal power and wire-feed feedback to detect weld faults in real time while reducing external hardware cost.

Add-on components switch equalizer settings by remote source in a playback queue, improving multi-device audio flexibility and synchronization.

Using a digital replica and sensor data, this case predicts wafer fab resource use before equipment or recipe changes reach production.

Hardware OR/AND arbitration verifies pedal and software signals to prevent wrong high-frequency electrotome output during robotic surgery.

Neural networks emulate missing industrial machine sensors by adapting reference-machine time series into usable parameter indicators.

Precomputed acceleration timing and transition speed limits keep NC machine paths fast and accurate across non-tangential block transitions.

Recorded object positions and variable values let engineers verify simulation programs step by step without rerunning the full simulation.

A cloud intermediary lets handheld communicators retrieve and replicate plant device configurations, reducing on-site setup time and manual rework.

A Wi-Fi module lets a load controller receive smartphone commands over a wireless network to remotely adjust lighting power and schedules.

Automated collection of process, material, and energy data enables consistent real-time product carbon footprint calculation across linked production steps.

Pulsed induction heating cuts vapour inhaler start-up time while keeping a non-liquid flavour medium in range without charring or burning.

Real-time process, raw material, and energy data replace manual plant carbon accounting for faster, consistent product footprint results.

Utility-rate and load forecasts guide central plant load sharing across subplants and thermal storage to cut energy cost and demand charges.

Sensor-driven WRIM and dynamic envelopes add context to autonomous control, improving navigation accuracy while reducing energy waste.

Automatic scenario generation maps user actions and device intentions into smart home setup, reducing manual logic and setup difficulty.

Phase change materials inside a memory package absorb and release heat to keep device temperature stable and protect data integrity.

A spring-loaded hinge works with magnetic retention to open dual displays to a preset angle while preserving a compact closed form.

Centralized HMI configuration embeds sandboxed web content in process graphics, enabling workstation-level customization without back-end delays.

A shared object library links controller logic and HMI graphics so modifications deploy automatically, cutting sync effort, processing cost, and storage.

Wearable emotion signals drive real-time playlist updates, helping audio playback guide users from current to desired mental states.

Generative AI turns unstructured maintenance records and sensor data into precise, timely service actions for building equipment.

A remote digital twin checks machine state to identify added functions, required measures, and costs for plate workpiece machining.

Role-based safety tokens let plant-floor systems adapt access and control actions by user credentials, reducing false trips during maintenance.

Real-time tool tracking and movement rules keep the endoscope in safe viewing positions while reducing surgeon distraction and collision risk.

XML machine configuration files let CNC control nodes identify machines, map signal structures, and enable plug-and-play communication.

Uses NFC tags and aggregated identification data to improve product tracing, authentication, and compliance without complex coding systems.

Intermittent motor pulsing groups seeds closely, improving emergence in crusted soil while maintaining target population accuracy.

Machine-learning analysis tunes event device states and configurations to cut false alarms while preserving reliable emergency detection.

Visual LED cart guidance and route optimization replace voice picking to improve multi-item order accuracy and reduce worker training time.

Real-time fluid data and uncertainty analysis guide well trajectory changes to improve productivity estimates and drilling decisions.

Deep learning compares expected and actual factory behavior patterns to detect subtle malware-driven process anomalies before damage occurs.

Synthetic HVAC-R risk scenarios train AI to detect rare faults more accurately without long real-world data collection and processing.

A statistical optimization model selects sawing patterns by log class, market demand, and capacity to improve timber yield and reduce waste.

Dynamic publishing settings adjust process value access by operating state and execution results to keep external data exchange secure.

Detachable functional circuits on a passive backplane share data and processing resources, enabling scalable industrial monitoring with lower installation complexity.

A clothoid-based axisymmetric stylus reduces oil canning and spring back while simplifying 3-axis CNC toolpath generation.

Historical accessory states and context are used to suggest scenes and triggers, simplifying secure control of varied smart home devices.