Company

Industrial AI

Vision AI, time-series forecasting and control AI extending proven process control systems with data-driven decisions.

Why AI now

Three challenges reshaping plant operations

Workforce shortage

An aging workforce and the retirement of experienced operators.

Increasing complexity

The need for consistent, precise operation in advanced processes.

ESG & energy regulations

Growing demand for energy-efficient and sustainable operations.

Our approach

AI as a safe enhancement, not a replacement

AI added on top of existing, stable control systems
Practical and safe deployment in real plant environments
Combining 3rd-generation automation (IPOES, HIECON) with 4th-generation AI (CNN, LSTM, RL)
Capabilities

Three AI model families

Vision AI

CNN

Visual recognition and automation for tasks operators once handled by eye.

Predictive AI

LSTM

Accurate forecasting from time-series data for demand and operations.

Control AI

RL

Real-time control optimization via reinforcement learning.

Deep dive

Applying reinforcement learning to MPC tuning

Instead of letting AI govern the whole plant, Infotrol uses RL as an auxiliary tuning module on top of proven control — for both performance and safety.

Conventional approach
Lets AI govern entire plant operation — high risk on real facilities
Simulators rarely replicate real-world plant conditions accurately
Incorrectly learned policies can cause safety or quality issues
Infotrol’s approach
Keeps stable control systems (HIECON, HPCB) as-is
RL acts as an auxiliary tuning module, adjusting only specific parameters
Uses proven RL algorithms such as Soft Actor-Critic and PPO
Trains on historical and simulated data, validated with real-time feedback
Applications

Deployed in real plants

Filtration Process Automation

Vision AI

Detects filtration completion via camera input and automatically opens transfer valves. Result: 95% reduction in manual operations.

Level & Emulsion Detection

Vision AI

Predicts fluid levels in real time from video, even in visually obstructed environments, and integrates with DCS for alerts.

Heat Demand Forecasting

Predictive AI

Models seasonal and daily usage patterns to enable MILP-based energy supply planning and reduce cost.

MPC Parameter Auto-Tuning

Control AI

An RL module adjusts tuning parameters only, enhancing control accuracy without replacing existing systems.

Why Infotrol AI

Why Infotrol AI is different

01

A smart enhancement

AI doesn’t replace control systems — it enhances decision-making and responsiveness.

02

Built on proven systems

Integrated with Infotrol’s reliable control platforms like IPOES and HIECON.

03

Field-tested and practical

Applied in real plant environments with measurable performance gains.

04

Safe and balanced

Combines AI innovation with operational safety for industrial-grade deployment.

Ready to optimize your operations?

Talk to our team about SOP automation, advanced process control, and energy optimization for your plant.

Contact us →
Infotrol Technology Co., Ltd
15F CBS Bldg., 159-1, Mokdongseo-ro Yangcheon-gu,
Seoul, Korea 07997
COMPANY
E : infotrol.web@infotrol.co.kr
T : 82-2-2061-7291
F : 82-2-2061-7290
CEO
E : weonhokim@infotroltech.com
MT: 82-10-2320-4031