Focusing on the integration of AI big models and near-infrared spectroscopy analysis, the development of application general rules and standards has officially begun!

On December 20th, the "Near Infrared Spectroscopy Data Analysis Artificial Intelligence (AI)" organized by the Standardization Working Committee of the Chinese Instrumentation Society and undertaken by Aopu Tiancheng）The kickoff meeting for the "General Principles for the Application of Large Models" was successfully held at the Opu Tiancheng (Changsha) R&D Center. The Chinese Instrumentation Society, experts led by Nankai University and Tianjin University, as well as representatives from multiple universities and industry enterprises, gathered together for in-depth exchanges on the construction of a standard system for the integration of near-infrared spectroscopy and artificial intelligence.

AI accelerates the upgrade of near-infrared spectroscopy analysis technology

Near infrared spectroscopy technology has been widely used in fields such as biomedicine, environmental monitoring, and food safety due to its advantages of fast, non-destructive, and online detection. With the continuous expansion of application scenarios, near-infrared spectroscopy has moved from laboratory research to large-scale applications, placing higher demands on data stability, repeatability, and consistency.

AI technology has shown great advantages in complex samples, multi index prediction, and cross scene modeling, and is an important technological direction for improving the efficiency and accuracy of near-infrared spectroscopy analysis. However, in the actual application process, different units have different methods in data collection, model construction, training validation, and performance evaluation, lacking unified application and evaluation standards, which restricts the comparison, reproduction, and promotion of technical achievements.

In this context, the Standardization Working Committee of the Chinese Instrument and Meter Society organized the establishment of the "General Principles for the Application of Artificial Intelligence (AI) Large Models in Near Infrared Spectroscopy Data Analysis", which was hosted by Aopu Tiancheng. The standard launch meeting brought together the strengths of industry, academia, and research to promote the standardized application and collaborative development of artificial intelligence technology in the field of near infrared spectroscopy, effectively fulfilling the responsibility and commitment of enterprises in industry standard construction and technological progress.

Supporting standard construction with technological accumulation and driving industry development with AI

At the kickoff meeting, Dr. Liu Hongfei, co-founder of Aopu Tiancheng, stated that the development of spectroscopic technology cannot be separated from long-term technical accumulation and practical experience, and even more so from the support of a scientific and unified standard system. For many years, AOPU Tiancheng has been deeply involved in the field of spectrometers, continuously accumulating expertise in spectral instrument research and development, system integration, and multi industry applications. We continuously improve our technical system, driven by innovation and focusing on standardization construction. We have led and participated in the development of more than 20 national, industry, and group standards, continuously promoting the standardization and replicability of spectral technology in practical applications.

Dr. Liu Hongfei pointed out that the application value of artificial intelligence, especially large model technology, in near-infrared spectroscopy analysis is increasingly prominent, and spectral analysis is facing new opportunities for technological upgrading. Aopu Tiancheng has incorporated artificial intelligence into the company's core development strategy, continuously laying out in data system construction, algorithm model research, and application scenario implementation, actively promoting the deep integration of AI technology and spectral analysis.

Aopu Tiancheng will continue to strongly support and deeply participate in the formulation and implementation of AI related standards for near-infrared spectroscopy, actively contribute experience and application practice, and promote standards to truly serve industrial development.

Using standard construction as a link to promote the transformation of technological achievements into industries

The formulation of the "General Principles for the Application of Artificial Intelligence (AI) Large Models in Near Infrared Spectroscopy Data Analysis" aims to provide key standard support for the safe, effective, and standardized introduction and application of AI large models as a cutting-edge technology in the field of near-infrared spectroscopy analysis, and promote the technology from research to large-scale and industrial application.

Aopu Tiancheng will continue to be guided by practical application needs, actively participate in the formulation, verification, and promotion of standards, fully leverage its comprehensive advantages in spectral instruments, data analysis, and industry applications, and promote the standardized implementation of artificial intelligence models in the field of near-infrared spectroscopy. In the future, the company will continue to deepen its AI development strategy, using standards as a link to promote the coordinated development of technological innovation and industrial applications, and provide strong support for the high-quality application and industrial upgrading of near-infrared spectroscopy technology.