Graphical time-series display of setup change windows across board work machines helps expose downtime and improve line operating ratio.
Bezier-curve controls let operators add, delete, and reshape robot route segments quickly while keeping paths smooth and executable.
Interactive class diagrams reveal object-oriented PLC project relationships and distinguish relationship levels for easier structure analysis.
Balances future prediction horizon, variable positions, and accuracy to improve control-system margin with faster model tuning.
Automatically calculates map range and scale from multiple work device positions so all units are shown clearly without manual display adjustment.
Normalized sensor ranking and visual grouping make equipment status changes across operation cycles easier to compare after maintenance.
Selective indoor drone mapping uses virtual knocks, adaptive sensors, and dynamic routing to assess damage while protecting privacy.
Time-series charts map cycle time, production volume, and equipment status together to reveal unstable cycles and their efficiency impact.
Partial sensor waveforms are aligned by acquisition time, making high-volume machine data easier to compare for failure prediction and maintenance planning.
Area- and volume-based resampling cuts point density in flat regions while preserving curve and surface fidelity for 2D and 3D printing.