Advanced Process Control
Singe-S AI-APC
Real-time artificial intelligence process control server with evolving control engine Real-time process control with artificial intelligence for high quality
Signe-S APC is an autonomous process control system
We solve chronic problems that require numerous DOEs and frequent programming whenever the process changes.
Traditional process control has chronic problems such as the risk of quality accidents caused by inaccurate DOE engineering by humans and increased maintenance costs due to frequent changes.
AI reinforcement learning-based solution that enables accurate process control even in a changing process environment
Enables advanced process control that is safer and more accurate than before
20% increase in process capability process quality improvement (target) 30%
or more increase
Yield improvement and rework
reduction by 30% or more.
Reduced scrap by 90% or more.
Technology that enables AI to control processes to achieve desired levels of process capability
System Identification Only
Setup time / Cost reduction
MPC (Model Predictive Control)
EWMA QILC QP KALMAN FILTER etc...
User Defined Controller Plug-In
Build Model
Create Model
Setting for self-learning operation
Activate model
Simulate & Evaluation Model
More risk-free and accurate Parameter Estimation by AI than ever before
Algorithm to prevent accidents
caused by R2R errors
Reinforcement Learning
Reduce TCO with Autonomous Model Evolution
SISO MISO MIMO
R2R Control Performance Report
Graphs and data status before
and after R2R
Process capability graphs and
KPI status
Automatic noise detection by AI
Signe-S APC's Benefits
Accurate process control even in process environment changes with AI reinforcement learning
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dynamic parameter estimation & optimization
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Autonomous process control that automatically approaches Customer Specification
High-reliability advanced process control algorithm
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QILC, QP, EWMA, Kalman Filter, Grid Search, Monte Carlo, Genetic algorithm etc
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Noise elimination New setpoint Update timing for the control model, Error prediction, etc.
Dramatic TCO savings with maintenance-free process control
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DOE and redevelopment are unnecessary in the event of process change
Minimize upfront costs with easy, fast, and accurate APC setup
-
Set the input/output structure of the model, and AI will proceed with the rest.
Multivariate process control without coding
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SISO MISO MIMO
Organic combination of SPC and APC
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Random errors와
Systematic errors 분석
Plug & Play User's Process Control Algorithm
쉬운 System Identification
(적용 시간 단축 및 비용 절감)
자동 모델 진화
(유지 보수 비용 절감)
APC
Studio
인공지능의 R2R Noise 자동 감지 엔진 탑재
(적용 시간 단축 및 비용 절감)
현장 Noise 자동분리
(현장혁신 가속화)
Signe-S APC supports a various process control models.
Implementation of SISO, MISO, MIMO with setup only
SISO
MISO
MIMO
Signe-S APC supports a various process control models.
Implementation of SISO, MISO, MIMO with setup only
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