Solutions






Industrial Process Optimization

TreGo Optimere

Revolutionary AI-Driven Solutions Transforming Industrial Operations. Multivariable Model Predictive control / Adaptive algorithms are game changers for improving control performance and maximizing energy conservation by automatically bringing the operation closer to optimization.

Benefits:

  • Increase the Operational efficiency & Plant stability
  • Maximize the Throughput
  • Reduce Energy Consumption
  • Comply with emissions and Carbon footprint

Industries:

Power Plant, Paper & Pulp Plant, Iron & Steel, Alumina, Cement & Other Energy Intensive Plants

TreGo Optimere - APC Suite Advantage

TreGo Optimere Components

AI Algorithms

  • MPC Algorithm
  • Economic Cost based Algorithm

UI Interfaces

  • Configurable and Informative

Industrial PC Operating Systems

  • Windows
  • Linux

Communication

  • OPC UA/ DA
  • TCP/IP
  • UDP

TreGo Optimere Deliverables

Typical Objectives

  • Maximizing Efficiency
  • Operate to Maximum Constraints

Manipulated Variables

  • Throughput
  • Energy
  • Equipment Setpoints

Constraints

  • Motor Limitations
  • Mill Circuit over-loading

Controlled Variables

  • Production/ Energy Targets

TreGo Optimere Features

Simplicity

  • User Friendly
  • Easy Troubleshooting and maintenance
  • Flexible & Scalable

Customizable and adaptable to

  • Process dynamics
  • Process modifications
  • Operational strategies

Includes frontier technologies in

  • Mathematical Optimization
  • Process Control
  • Software Engineering
  • Machine Learning

Honeyshell Tech possesses extensive expertise and a wealth of experience in delivering automation solutions tailored to varying business requirements. Call Us for more details: +91 96867 47093.

TreGo Optimere

MPC - Model predictive control technology with Adaptive Mathematical models for,

  • In modern control systems, AI techniques are integrated with traditional MPC control strategies to achieve better results.
  • Uncertainty and nonlinearity of a process, and the non-convexity of the resulting optimization problem can make online implementation of MPC nontrivial.

Prognosis AI – MPC Control Overview

  • Controller consists of a matrix of process model pairs that explain Important Interactions in the process
  • Predict the values of the CVs by movement of all the MVs and DVs
  • Proactive Control to achieve CV setpoints, prevent them from being violated, hence reducing variability

TreGo Optimere – APC Benefits

Energy Optimization

  • Reduce Power/Fuel consumption

Consistent Product Quality

  • Predictive Control can ensure desired quality target is achieved

Uniform Operation

  • Stable operation result in Smooth Process irrespective of various shift operators thereby minimizing machine wear and tear

Minimize Emissions

  • With Consistent process control and Real Time
  • Optimization can strictly maintain the emission value under desired limits

TreGo Optimere Capabilities In

  • Cement Plants

    • Kiln/Cooler
    • Cement Mill
    • Raw Mill
    • Coal Mill
    Cement

  • Mineral Plants

    • Copper/ Nickel Plants
    • SAG/ AG Mills
    • Floatation Circuits
    Mineral

  • Others

    • Captive Power Plants
    • Power Grid Optimization
    • Spray Dryers
    • Bio Reactors
    • Paper plants
    • Food Processing units
    Others

  • Future Plants (In Progress)

    • Higher Capacity Power Plants
    • Power Grid Optimization
    • Sinter Plant
    • Sponge Iron Plant
    • Coke Oven Plant
    • Blast Furnace
    Future