Infotrol technology

Your Ultimate Partner in Smart Factory Solutions

Smart Solutions for a Smarter Future – APC, Energy Optimization, and Automation by INFOTROL.

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Infotrol technology

Company Overview

Company History
  • 2009: Selected in Small & Medium Business New Technology Development Project in Korea
  • 2008: Company Affiliated R&D institutes foundation and certification
  • 2007: INNO-BIZ certification from Korean Government
  • 2006: Venture Company Certification in Korea
  • May, 2004: Infotrol Technology Co. Ltd. Founded
Business Area

Advanced Control, Operation Automation and Energy Optimization

  • Continuous Process APC (Advanced Process Control)
  • Energy Network Balance, Simulation, Optimization and Planning
  • Process Automation (Integrated Process Operation Expert System)
  • Batch and Semi-batch Process APC
Core Technology
  • Automation, APC and Optimization solution
  • Continuous and batch process control
  • Process sequence automation coordinated with advanced control system
  • Energy Network Optimization and Planning System
  • Energy network optimization and production planning system
  • Product Customization
  • Customization by user’s special requirements
  • Constant maintenance by fully experienced engineer
  • State of art in-house development solution

Company Organization &
Engineer Education

CEO : Weon-ho, Kim
  • Louisiana State Univ. LA, USA, ChemE PhD
  • Seoul National University, Seoul Korea, ChemE MS
  • Hanyang University, Seoul Korea, ChemE BS
  • Setpoint Inc. MPC Development, Houston, TX, USA
  • Samsung SDS Chief Consultant, Korea
  • Honeywell Hi-spec Solution, Singapore Office Korea Manager
  • AspenTech Korea Business Manager, Korea
Project Carrier
  • Developmentof APC, Automation, and Energy related products
    (HPCB, INFOTROL-MPC, ISA/IPOES,ENetOPT, ENetPlan)
  • Samsung Fine chemical, Samsung Petrochemical, GS Caltex       APC and Optimization project
  • SK, LG Petrochemical, Inchon Petrochem APC and Optimization project
  • Philippines Petron Oil Refinery APC and Optimization project
  • Malaysia Petronas, US Texaco Eldorado, Venezuela MaravenOil Refinery APC and Optimization
  • Qatar NODCO APC lead engineer

Infotrol Technology Solutions

SOP Automation

  • Lack of senior operators
  • Disruption of operating know-how due to retirement of baby boomers
  • Instability in operations caused by variations in individual operator’s skills
  • Accumulate know-how
  • Accumulate operational experienceas a company asset
  • Collect and analyze data > Figure out which needs to improve
  • Improve productivity
  • Improve quality & productivity
  • Operate manufacturing system efficiently
  • Build condition for optimized operation

SOP Automation

IPOES Web
  • Easy SOP Design
  • Low-Code No-Code Platform
  • SOP configuration by flow chart
  • Support hierarchical layers
  • Link with various Interface
  • Standard data interface protocol
  • Interface with various RTDB servers.
    (OPC DA/UA, PHD, PI, IP.21, DataPARC)
    Also, can interface with RDB (Oracle, MSSQL etc.)
  • Web and B/S system to support real-time process monitoring  
  • Support user-friendly & integrated solution
  • Integrate with INFOTROL solutions
    (AI Vision Control, Infotrol-MPC, RMS, Energy Network) to organize
  • Safety
  • Improve safety from surveillance
  • Detect and measure on abnormal situation
  • Productivity
  • Minimize operating cost by variations
  • Reduce operation time of performing repetitive tasks
  • Minimize fluctuation in product quality and yield
  • Know-how accumulation
  • Standardize SOP with senior engineer’s operating know-how
  • By automation of SOP, able to collect data in database
  • Can manage work order, process automation, performance management at once

Advanced Process Control

Infotrol-MPC | HPCB
Infotrol-MPC(Model Predictive Control)
  • Outstanding control performance
  • Multi-variable control system for Batch. Provide best solution by performing multi-layer optimization
  • High speed predictive control with great response to unknown disturbance over other competitor’s system
  • Improve productivity, quality, safety, energy intensity
  • Reduce work-load of personnels
  • Reduce deviation  
  • Reduce energy cost with optimal control by predictive control
  • Support user-friendly & integrated solution  
  • Integrate with INFOTROL solutions
    (AI Vision Control, Infotrol-MPC, RMS, Energy Network) to organize Fully Automated system
HPCB(Hierarchical predictive control for batch)
  • Optimal control system for Batch process
  • Can control various conditions in Batch process like feed inputor cooling & heating
    (optimal control algorithm considering Batch process)
  • Trajectory Target Control  
  • Control Batch temperature by setting Trajectory target
  • Predictive Control considering disturbance
  • Control considering setpoint in the future
  • Predictive control considering heat of reaction
  • BatchReactor Temperature Controller for considering heat of reaction by changingfeed and recipe to apply automatically
  • Supportuser-friendly & integrated solution
  • Integratewith INFOTROL solutions (AI model, Infotrol-MPC, RMS, Energy Network) toorganize FullyAutomated system (Others can’t )

Recipe Management System

  • Recipe Management and Application
  • Save and edit recipe for each grade
  • SOP management with feed input
  • Link with control variables andautomatic control for each step
  • Recipe modification after manufacture
  • Compare each procedures with Golden batch with each step
  • Sub-Recipe management for eachgrade in specific situation
  • Recipe improvement wih analyzing data
  • Improve Productivity & Quality  
  • Improve productivity  
  • Reduce human error from recipeinput
  • Reduce work load of personnels
  • Reduce quality deviation with optimal control and fully automized operation  
  • Improve and Accumulation of Recipe  
  • Establish of recipe managementsystem for each grade
  • Interface with accumulated data and machine learning to suggest modification of SOP and control variables  

Optimal Production Planning

  • Optimal production planning for Batch product  
  • Multi-production line, multi-grade  production
  • Different batch cycle periods for different grades
  • Additional time required for quality inspection, packaging, transfer to stock, etc. after each batch production
  • Production order preferences for each grade
  • Requirement of cleaning time for each grade change
  • MILP model organization
  • Energy Optimizing production Planning
  • Establish optimized energy schedulefor continuous process
  • Introduce Production constraints
    (product requirements, max / min constraints, run / stop conditions)
  • Visual modeling based optimal program
    (EnetPlan – energy optimizingproduction planning)

Energy Intensity Management

Infotrol EIM
  • Real-time Monitoring of Utilities  
  • Compare current energy intensitywith previous Golden operation
  • If ‘Energy Intensity’ disorderoccurs
  • Release ‘Energy intensity alalysis’report  
  • Root Cause & Solution analysis through ‘Flow Chart’ formed logic
  • Abnormal detection and suggestsolution
  • Energy Intensity (EI) Platform
  • IPOES-web is equipped in EI platform
  • - Able to use, edit easily
  • FlexibleEnergy Intensity analysis system
  • - Easy to organize user-interface,database
  • AI application  
  • Analysis of EI report – saved automatically
  • Use of AI to figure out root cause of EIreport
  • - Replace senior engineer with AI  

Energy Network Optimization

ENetOPT
  • Product and Consume balance of steam, electricity, fuel and hydrogen  
  • Balance of steam, electricity andfuel  
    (Constrained Quadratic Program – data Reconciliation)
  • Mass balance considering density of hydrogen
  • Alalysis of Mass and Energy Imbalance    
  • Gross Error detection – Analyzing root cause of steam, electricity, fuel imbalance
  • Energy loss, detection of instrument abnormality and validation
  • Equipment of energy instrument models
  • Embedded most of the production of energy product instrument used for petrochemical & refinery industru (Can set values of specific model)    
  • Optimal operation utility in real-time
  • Optimal operation in real-time with satisfied energy consume
  • Link with steam-header and turbine control system to organize closed-loop optimization  
  • Mixed Integer Programming
  • Peoform integer variable optimization with instrument ON / Off & Minimum operation workload
    (commercial GUROBI Optimizer – default option)
  • Piece-wise Linearization of unit-instrument and process non-linear effiency function

Energy Network Planning

ENetPlan
  • Optimal plan for steam, fuel and H2 production, consume and distribution
  • Short / Long term schedule forintegral production and consume
  • Link with optimal control system to organize closed-loop optimization  
  • Predict CO2 emission & absorption, support CO2 trading system
  • Optimal plan for energy demand, production of renewable energy, H2 production
  • Predict CO2 emission in a short / long term and establish reduction plan
  • Establish greenhouse gas management system including H2 fuel cell, CO2 absorption
  • Provide greenhouse gas trading system
  • PV, Renewable energy, Battery &Turbine optimal operation
  • Organizations of PV(photovaltaics), Renewable energy, Battery,  LNG or Steam Turbine of optimal energy planning and operation
  • Integration with Microgrid frequency control system for optimal operation
  • Suggestion for Demand Response (DR)    
  • Suggest peak load about energy consume for each period of time
  • Provide DR traffic for users
  • Energy Intensity Production Planning
  • Optimal planning for minimizing energy intensity
  • Optimal energy intensity considering H2 production, consume, distribution, and compressor schedule    

Partners & Clients

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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