ProcessVision extracts motion diagrams of process components, calculates motion amplitudes and frequencies, and alarms on out-of-spec conditions

• Measurement of amplitudes and frequencies of paper edge, press release angle and wet/dry line movements
• Trim squirt cut line position and quality
• Rewinder knife cut line position and quality
• Paper web maps and profiles, e.g., coater
• Equipment motion diagrams, e.g., doctor blade cycle
• Input to AI Break Prediction

ThermoVision uses LWIR camera video to calculate identify paper weak spot, create realtime temperature/ moisture profiles and quantify energy losses due papermachine dewatering and drying issues

• Identification of invisible wet spots in DVRX live, buffer and event video
• Papermachine control and efficiency extras:
  • • Realtime moisture profiles in any papermachine location, mapped to profiling equipment
    • Quantification of energy losses due papermachine dewatering and drying issues
    • Detection, classification, trending and AI prediction of wet spots and streaks

AI analyzes data derived from LWIR and visual cameras to establish the relationship between the forces exerted on the paper, paper defects, and sheet breaks

In case of sheet breaks, AI seeks to predict sheet breaks caused by paper being not strong enough to withstand forces exerted by the process:

• • • a wet/weak spot in a paper web can turn into a hole or an edge crack, depending on the spot location,
    • defect-free paper web can break when subjected to excessive forces,
    • a combination of wet spots and excessive forces results in a high probability of a sheet break.