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​세종특별자치시 한누리대로 312, 노블비즈니스타운 717호. 30128.

#717 Noble Business Town, 312 Hannuri-daero, Sejong-si, 30128

사업자등록번호: 501-12-50817

The ModelGateway Solution

Linear Modeling is used in the industry to define the relationship between an acquired spectrum and the Lab Value used as reference. This relationship enables predicting the expected value from an unknown spectrum.

Linear regression


Inteligent Model Gateway Software


  • No User intervention required

  • Easy model maintenance

  • Fast Response to changes

  • Over Fitting is improved

  • Easy comparison between Process value vs. Lab value

  • Sililar interface for multiple analyzers

What is Model Gateway software?


The Model Gateway software is used for automating the modeling process. All the user has to do is load Lab Data into the software. The rest is done automatically.


In a process environment, the Model Gateway software stands between the Analyzer and the plant DCS (Distributed Control System). 


System Architecture

How Model Gateway works automatically?

1. Installation


The ModelGateway software can be installed on any Windows Machine. It connects to any analyzer and handles all modeling tasks. From model building to Signal Processing, Prediction and Reporting.

2. Lab Value input

Lab values can be loaded into the system through Modbus communication or manually from the form displayed below. values are copied from an Excel spreadsheet, just use Ctrl-C & Ctrl-V to paste them.

3. Auto-Model builder


The modeling process runs an algorithm that searches for the best training set, under the limitation of the number of iterations and maximum number of factors.

Once the modeling process is completed, a new model file is created and saved to disk and the new model will be implemented automatically to predict process values.

3. Comparing a Model to Lab data


If you load lab data into the database for an analyzed property, the application displays a comparison between the lab data and the model predictions. This is useful to get a feeling of how accurate the model is and whether it is time to run another modeling iteration.