Programme Control TRIZ Cases

A mobile interface simplifies building controller setup by defining equipment control loops and terminal assignments without specialized tools.

A state-based input table captures signal changes and error checks across all process states, reducing control-program gaps and production downtime.

By placing the controller inside the IGU, EC windows cut wiring losses, simplify installation, and enable independent pane control.

Sensor feedback and simultaneous support-post adjustment keep a 3D printing platform level with less user input and better print accuracy.

Camera-based blank recognition separates processed and unprocessed regions, avoiding stored datasets and extra clamping frames in dental milling.

Mixed-integer optimization assigns tools to allowable nearby magazine slots to reduce waiting time, travel distance, and collision risk.

Time- and frequency-division coordination between neighboring workcell cameras reduces crosstalk and improves 3D safety monitoring accuracy.

Periodic short-step movement lets aircraft components be worked in parallel, improving arrival synchronization, workstation density, and final assembly speed.

Drive load angle or torque reveals textile workstation status, enabling blockage and wear detection without added sensors.

Passive NFC stores HVAC component IDs and parameters before power-up, cutting repeat technician visits and setup errors.

Broadcast CAN links identical motor controllers so atmospheric suit life support keeps running through faults or missing sensor data.

Sensor and ML-based monitoring tracks lifecycle stage, predicts mobility system failures, and issues timely maintenance alerts.

A mapped simulation model links device attributes to control interfaces, avoiding complex protocol conversion and reducing communication errors.

Automatic Bluetooth identification signals trigger mobile apps to show component data, location, warnings, and control options in metallurgical plants.

Check information comparison verifies machining file integrity after transmission interruption, enabling safe resume from the exact stop point.

Angular-coordinate motion replaces belts and box frames to keep 3D printer axes orthogonal while simplifying mechanics and improving precision.

Closed-patch validation and merging cut laser head repositioning on 3D surfaces, reducing machining time and boundary defects.

Dynamic exchange orders use feeder usage and mounting conditions to prioritize collection and replenishment during schedule changes and shortages.

Neural path scoring on map tiles estimates low-sampling trajectories without handcrafted features, reducing map-matching complexity.

A dual positioning setup combines coarse frame motion with fine local adjustment to keep guided tools accurate across large work surfaces.

Correlated Multiphasic Analysis groups low-threshold atDNA matches by shared MRCA to identify ancestral lines and non-paternity events.

A camera-based AR interface matches registered device images to control commands, replacing multiple IoT apps with faster visual selection.

User feedback refines CNC machine tool fault diagnosis policies and databases, improving recurring fault accuracy while reducing expert dependence.

When one AI-controlled terminal fails, switching to an alternative control unit prevents abnormality propagation and keeps control stable.

Network usage patterns from a home router are analyzed with machine learning to infer presence accurately where GPS-based methods fail.

Redundant logic and CRC-checked packets let two electrical devices achieve high emergency-stop safety over a single data bus.

Independent sensor network sub-platforms split control traffic and configuration data to ease management-platform load and prevent data jams.

Voice input is parsed into object and characteristic descriptors so CAD models can be created and modified without specialized command language.

Backscatter scans compare idle and in-operation states of 3D printed parts to flag degradation early and reduce machine downtime.

Automated detection and adjustable fixturing align different workpieces to a preset orientation, cutting manual fixture changes and line delays.

Projected test patterns verify imaging sensor function, enabling fail-safe safety-area monitoring with standard sensors and simpler safety control.

Small wireless IMU and inclinometer sensors attached to plant organs avoid camera bias and enable real-time stress and movement monitoring.

Offset values stored in safety memory, plus skew and drift checks, keep network time synchronization accurate in SIL-rated control systems.

Pseudo-random noise injected through the voltage regulator enables in-field AMS self-test by cross-correlating output response to monitor PSRR.

A controller switches first-system motion by tool post use, preventing unintended cutting during continuous front-back machining.

Scanning angle ranges and reflected-light intensity help distinguish cart reflectors from equipment surfaces, improving distance detection on curves.

A hardware-ID and token-based DRM workflow streams printer-specific 3D designs to block piracy, redistribution, and unauthorized printing.

Wireless discovery maps electrochromic windows to building locations, cutting manual commissioning effort and simplifying tint control.

Wireless units shared by controller groups cut plant wiring cost and setup time while preserving reliable, redundant network paths.

Periodic interrupt exception windows let field devices signal before normal scan slots, cutting reaction time on long, noise-prone industrial buses.

Change-probability health estimation tracks engine degradation, isolates faulty components, and helps keep control models aligned over time.

Cloud-based DART analysis ranks building incident responses in real time, helping on-premises devices act despite power or network limits.

Sensor feedback and secondary error correction keep shooting range target carriers synchronized, accurate, and easier to maintain.

Optical powder-bed measurement and a separating-plane reference keep prefabricated parts aligned and prevent coater collisions during additive build.

Hybrid 3D bone models guide patient-specific graft and plate placement in mandible reconstruction, improving fit and surgical accuracy.

Whole-body cooperative control replaces manual balancing in a 6-DOF medical robot arm, improving stability, task space, and operability.

Dynamic group master selection lets one interface control and monitor building actuators while preserving feedback and continuity if a master fails.

By building 3D annotation and rule libraries through interactive demonstration, the robot adapts to complex human-object tasks.

Sensor data and smart contracts enable pay-per-use food processing, cutting upfront machine costs for low-volume businesses.

Adaptive load modeling adjusts PID gains from error variables and load-change sensing to maintain stable control without trial-and-error tuning.