Software
Software

Raman data processing and algorithm analysis software is an industry-leading tool for modeling, prediction, and optimization. Through convenient and easy big data analysis, it accelerates product development, improves product quality, and optimizes production processes. It has the following advantages:

1) Integrated analysis

By utilizing spectroscopic and chemometric analysis methods, we can accelerate product development, improve product quality, and optimize manufacturing processes by analyzing all data, thereby solving practical problems more efficiently and conveniently. 

2)Easily import all types of data

It can import materials, sensors, processes, and spectral data in all formats, and has convenient drawing, data preprocessing, and spectral modeling functions. Can be used for product classification to ensure product quality.

3)Automatic feeding control

Based on the predicted concentration of various components in the fermentation broth, automatic feedback control is provided for parameters such as the type of feed, feed speed, and time of the fermentation broth in the fermentation tank. The entire software can achieve fully automated operations such as Raman spectroscopy testing, data preprocessing, modeling, concentration prediction, and feeding control, without the need for manual intervention. It can achieve fully automatic analysis and feeding control of the concentration of various components throughout the fermentation cycle, and control the concentration of each component within the preset range. Real time measurement of fermentation biological parameters through the fermentation model in the software is of great significance for understanding the growth laws of microorganisms, monitoring and controlling the fermentation process, diagnosing faults in the fermentation process, and optimizing feeding control. The feeding optimization control in the software optimizes the feeding rate in fermentation production, which plays an important role in stabilizing production and improving product yield.

Modeling algorithm:

Partial least squares method(PLS)

Machine Learning (Neural Networks)

......Continuously providing more algorithms

Data preprocessing:

Removing baselines and derivatives from images。


拉曼数据处理和算法分析软件