Advanced Monitoring System for Real-time Process Insight and Data Collection

CEPiMS™

CEPiDTS™ Integrated

CEPiPM™ Modeling

CEPiML™ Custom AI

CEPiMS™ Monitoring

Real-time Process Monitoring System for Immediate Response and Process Data Collection

Technological Edge

Real-time Process Monitoring System
CEPiMS™

CEPiMS™ provides a monitoring dashboard that collects real-time data required for the process and allows for immediate tracking and control of the process status.

It includes features such as 1-minute interval actual vs. Sim/AI comparison, instant anomaly detection, KPI dashboards, integrated mobile-web management mode, and linkage with AR/VR training systems.

Data Collection

Historical Data
Real-time Streamed Data
External Third-party Data

Digital Twin Development
(Steady-state / Dynamic Models)

2D Interface
Alarms & Trend Analysis
Anomaly Response Strategies
Comparison: Sim & AI vs. Actual

Simulator

Simulation Validation

Simulation vs. AI Model

Integration of AI Model Outputs

Dashboard

Simulation vs. Actual Process

Alarms & Trends

System Diagram

Overview: Full System Layout

Customization by Industry Sector

Equipment-specific View

Custom Implementation by Target Equipment

CEPiML™ Monitoring Implementation Workflow

Connectivity & Data Integration

Consolidating diverse process data into a single connection

Linking DCS / SCADA / Production data

Integrating external and sensor data

Real-time data collection and synchronization

Custom Equipment-specific Interface Development

Intuitive monitoring of process status by equipment unit

Visualization of key variables and status information per equipment

Process flow-based customized screen configuration

Operator-centric UI/UX design

Optimal Operation Setpoint Interface

Comparing operating conditions and establishing optimal benchmarks

Configuring key operation variables and condition comparison

Calculating economic benefits of achieving optimal conditions vs. current status

CEPiDMS™ Interface Showcase
Implementation in Utility Systems

CEPiDTS™ Dashboard
P&ID live status · Optimal operation model comparison · Savings effects · Model accuracy · Next-generation Data Reconciliation

1,575× Faster Inference
Compared to CFD
Trained on 1,284 cases using PINN + LSTM + openFOAM

Display of AI-Recommended
Optimal Setpoints
Current operating conditions vs. ML-optimized conditions: View potential savings on a single screen

Unified Dashboard Accessible
from Anywhere in the Plant
Mobile · Tablet · Web · iOS · Android:
Operator + Engineer Live

CEPiDTS™ Dashboard in Action

Screenshots are from a system where CEPiDTS™ has been implemented.

3D Real-time Simulation Options
for Intuitive Process Monitoring

By visualizing process equipment in 3D, you can manage facilities more intuitively and rapidly.

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3D Modeling & Integration

Production and display of WebGL 3D models for plant facility status

Display of facility status data by process unit

Display of operation status data by equipment

Modeling file management functions (Register, Query, Edit, Delete)

A real-time 3D simulation option can be added when implementing CEPiMS™.

Real-time Data Visualization

Display of maintenance and repair history by equipment

Display of change history by equipment

Configuration designed for easy equipment search and status inquiry

Simulator API integration

Anomaly Detection & Alerts

3D location display for anomaly detection

Real-time 3D process rendering

Result simulation based on condition changes

Integration with VR education and training

Verification of all equipment-specific data within VR space

Verification of valve operation status results

40%
Reduction in Anomaly Response Time

Immediate identification of 3D locations

60%
Savings in Training Costs

Pre-skill training based on VR

3D VR
Enhanced Process Understanding

More intuitive process equipment visualization

TRUST
Increased Confidence in AI Results

3D validation of CEPiML™ results

Digital Twin Solution

An integrated process optimization solution that combines process modeling, custom AI development, and real-time monitoring to simultaneously deliver operational, financial, and ESG excellence.

A solution that mathematically models processes to provide a precise understanding of process structures and behaviors.

A machine learning platform that supports data-driven, scientific decision-making through prediction and optimization based on collected in-process data.