On September 11, 2025, the Laboratory Intelligence Forum and 2025 Yigu Forum were held at the China International Exhibition Center (Shunyi Hall) in Beijing. This forum is hosted by the China Association for Analysis and Testing, organized by the Testing Equipment Branch of the China Inspection and Testing Society, the Information and Intelligence Working Committee of the China Inspection and Testing Society, the Laboratory Instrument and Equipment Branch of the China Entry Exit Inspection and Quarantine Association, and the Beijing Yigu Testing Science Research Institute. It is supported by the China Association for Science and Technology Workers' Home, Instrument Information Network, Food Partner Network, Kouxiang Academic, and AEIC Academic Exchange Center. We would like to express our special thanks to the Technical Innovation Center of the State Administration for Market Regulation (Evaluation of Analytical Instruments and Equipment Testing) and Beijing Puxi General Instrument Co., Ltd. for their dedicated assistance.

Forum toIntelligent future, AI empowers new ecologyAs the theme, we are committed to building a high-end communication platform that gathers global wisdom and promotes collaborative innovation. The attending guests focused on the upgrading of laboratory intelligence and digital transformation, delving into the deep integration of cutting-edge technologies such as artificial intelligence, big data, and the Internet of Things in laboratory research and development, testing, management, and services, promoting efficiency improvement and model innovation.

The conference attracted close attention200 peopleProfessionals from government agencies, research institutes, and instrument companies attended the conference in person. The synchronous live broadcast conducted online through the Instrument Information Network video account also sparked a warm response, with a large number of viewersNearly 30000.

conference venue

Xing Zhi, Senior Engineer at Tsinghua University, presided over the opening ceremony

Guest Speech

Speech by Tian He, Vice Chairman of China Association for Analysis and Testing

Speech by Sheng Fei, Executive Vice President of China Inspection and Testing Society

Former Deputy Director and Senior Engineer of the Information Center of the Ministry of Ecology and Environment

Speech by Yang Zijiang, Chairman of the Professional Committee for Social Monitoring Services and Operations of the China Environmental Protection Industry Association

Speech by Ms. Xiaohong, Secretary General of China Entry Exit Inspection and Quarantine Association

The guest speakers warmly congratulate the opening of the forum and call for taking this forum as an opportunity to work together to promote the new ecology of AI enabled laboratories and jointly create a technological future with digital intelligence.

congress report

Subsequently, heavyweight guests such as Gao Xia, a researcher at the China Institute of Metrology, Deputy Director of the Institute of Analysis and Testing at the Beijing Academy of Science and Technology, Shi Xinbo, Director of the China National Accreditation Center for Conformity Assessment, Xing Zhi, Senior Engineer at Tsinghua University, and Zhang Qinghe, a researcher at the China Institute of Metrology, delivered keynote speeches at the conference. The core topics cover AI driven intelligent experimental design, automation and robot applications, data-driven R&D decision-making, standards and safety for smart laboratory construction, as well as new forms of testing and certification empowered by AI. At the same time, pay attention to how AI can promote cross disciplinary collaboration and foster a new laboratory ecosystem.

Report on the Conference Hosted by Sheng Fei, Executive Vice President of the Chinese Society for Inspection and Testing

Research direction of Chinese Institute of Metrology

Report Title: "Artificial Intelligence Empowers Mass Spectrometry Technology"

The report points out that the deep integration of mass spectrometry big data and big models will lead the intelligent transformation of scientific paradigms and become an important engine for promoting the development of life and health and cutting-edge metrology. He emphasized that we should focus on the major national needs, break through core technologies, reconstruct research and development thinking, and jointly build a new ecology of mass spectrometry technology powerhouse.

Gao Xia, Deputy Director of the Institute of Analysis and Testing at Beijing Academy of Science and Technology (Beijing Physical and Chemical Analysis and Testing Center)

Report Title: "Standard Digitization and Digital Intelligence Analysis Testing"

Gaoxia proposed that digital analysis and testing must be based on standard digitization. She systematically introduced the research progress of standard digitization at home and abroad, and focused on the specific practices in the plastic industry and analysis and testing field. At the same time, she shared the achievements of the Beijing Academy of Sciences in the construction of data zones and digital trading platforms.

Shi Xinbo, Director of China National Accreditation Center for Conformity Assessment

Report Title: "Research and Application of Digitalization in the Recognition Field"

Shi Xinbo introduced the practical application of artificial intelligence in CNAS evaluation and looked forward to further improving the recognition system related to artificial intelligence in the future. Through AI technology, the recognition process will be optimized, service efficiency and quality will be improved, and all parties will work together to promote the high-quality development of the industry.

Xing Zhi, Senior Engineer at Tsinghua University

Report Title: "The Wave of Digitization: The Road to Innovation in Inspection, Testing, and Optical Instruments"

Xing Zhi delved into the practical needs and important role of digitalization in inspection, testing, and spectroscopic instruments, and analyzed how to use digital technology to solve the pain points and difficult problems faced in this field.

The afternoon forum is hosted by Professor Li Hongmei from Beijing University of Chemical Technology (left) and Senior Engineer Liu Xin from China Customs Science and Technology Research Center (right)

Host the conference report

Zhang Qinghe, Researcher at the Institute of Chemistry, Chinese Academy of Metrology

Report Title: "Non targeted Analysis of Chromatography High Resolution Mass SpectrometryDigitization: Requirements and Challenges

Chromatography high-resolution mass spectrometry non targeted analysis has great application prospects in the identification of unknown compound structures, sample classification, and quantitative analysis of unknown substances. However, due to its large amount of data information, digitization is facing new challenges. It involves the evaluation of chromatography-mass spectrometry information databases, pre-processing of big data information in spectra, prediction of retention time, compound classification, prediction of unknown substance content, and various algorithms such as retention time and mass axis offset calibration, recovery rate calibration, etc. It is urgent to clarify their digital requirements and research related algorithm models.

Ji Tongkai, President of Zhongke Cloud Computing Research Institute

Report Title: "Construction and Application of Industrial Quality Inspection AI Vertical Large Model"

In industrial production, traditional manual quality inspection methods have always had many limitations such as limited accuracy, insufficient speed, and frequent misjudgments. Faced with these challenges, the application of AI big models has brought new solutions for industrial quality inspection. Ji Tongkai introduced the application of AI big models in industry, covering multiple aspects such as product design and development, production process optimization, quality control and fault prediction, after-sales service, and supply chain management.

Shanghai Kuolet Ace Technology Co., Ltd

Chief Intelligent Technology Officer Meng Wentao

Report Title: "Technological Breakthroughs and Industrial Implementation of AI Intelligent Agents"

Meng Wentao elaborated on the fundamental concepts and technological landscape of AI intelligent agents, including their definition, core capabilities, different types, key technological breakthroughs, and current industry status. Later, he focused on the intelligent transition of the inspection and detection industry, discussed the core forces driving change, such as technology integration, edge computing, multimodal interaction, and further analyzed the market opportunities, scale prediction, emerging business models and potential solutions in this field.

Liu Xin, Senior Engineer of China Customs Science and Technology Research Center

Report Title: Preliminary Exploration on the Construction of Food Safety Testing Automation Laboratory

Automated laboratories are the development direction of modern laboratories. The Haike Center has designed an intelligent food sample physical and chemical pretreatment workstation system with the research and development goals of multiple varieties, small batches, and multiple standard technology requirements. This system explores the development direction of laboratory intelligence and is an exploratory solution that applies various new production tools such as the Internet of Things and artificial intelligence to liberate and develop new quality productivity, fill the gaps in food safety testing automation, and comprehensively upgrade and resolve risks in traditional testing laboratories. Liu Xin elaborated on this automated pre-processing system and discussed the problems and challenges encountered in building automated and intelligent laboratories.

Lu Zhi, Assistant Professor and Special Researcher at Tsinghua University

Title of the report: "Ultra high speed and high fidelity mesoscopic live microscopy technology and applications"

Light field imaging, as a new imaging perception method that combines optical acquisition and computational reconstruction, has expanded the technological approach for human observation of the physical world with its excellent high-dimensional imaging capabilities. With the increasing demand for information acquisition in scientific observations, traditional light field reconstruction methods have reached a bottleneck in terms of reconstruction quality and speed. In response to these issues, Lu Zhi focused on exploring physics driven high-resolution perception and reconstruction methods for light fields, breaking through the heavy reliance of traditional deep learning methods on paired data and achieving self supervised high-resolution 3D reconstruction.

Cao Zhen, a researcher at the Chinese Academy of Agricultural Sciences

Report Title: "Research and Industrial Application of AI Intelligent Rapid Detection Technology for Edible Agricultural Products"

In the field of food safety testing, traditional testing methods have always had efficiency bottlenecks. With the development of artificial intelligence technology, AI rapid detection devices have brought breakthroughs in achieving accurate and efficient food safety testing. Cao Zhen systematically introduced the application points of AI intelligent rapid detection technology in his sharing, deeply analyzed the core advantages of this technology in improving detection efficiency and accuracy, and provided a practical and feasible implementation path for intelligent supervision.

Professor Zhang Xianxian from China Agricultural University

Title of the report: "Analysis of the Infection Mechanism of Vegetable Frost Fungus Bacteria Empowered by AI"

This study is based on multi-source data collection and cross scale, multimodal information fusion technology, using artificial intelligence to achieve qualitative characterization of the infection structure, quantitative extraction of morphological characteristics, quantitative evaluation of infection degree, and in-depth analysis of the pathogenic mechanism of vegetable downy mildew. The focus includes establishing a machine vision and plant pathology based infection structure morphology detection and behavior analysis model, systematically exploring the quantitative methods of pathogen morphology and behavior characteristics during the infection process, revealing their dynamic evolution laws, and thus deeply analyzing the infection and pathogenic mechanisms of Aspergillus oryzae.

Beijing Puxi General Instrument Co., Ltd

Guo Chuntao, Director of IoT Product Development Center

Report Title: "Construction and Application Demonstration of Open Internet Smart Laboratory Based on Instrument Data Standardization"

Today, as the scientific instrument industry accelerates towards automation, digitization, and intelligence, "digitalization" is becoming the core engine driving industrial upgrading. Puxi is committed to achieving deep integration between traditional analytical instruments and laboratory digital platforms with the direction of "intelligent manufacturing upgrade". For a long time, the digital transformation of laboratories has faced bottlenecks in data interconnection and interoperability. Due to inconsistent interfaces and protocols, it has led to difficulties in coordinating devices of different brands and eras, which restricts the release of data value. In response to this pain point, Puxi has independently developed a standardized digital intelligence platform - DLabs system, which has achieved multiple benefits such as significantly improving laboratory efficiency, significantly reducing error rates, shortening training cycles, and automatic generation of management reports. At present, DLabs has been successfully applied in various fields such as food, environment, medicine, and new materials, serving multiple top research institutions.

Summary

Artificial intelligence technology is profoundly transforming various aspects of laboratories. Through the deep integration of AI and digital technology in fields such as mass spectrometry, chromatography, optical instruments, and food safety, it promotes instrument interconnection, data exchange, and knowledge sharing, comprehensively enhancing laboratory innovation capabilities, operational efficiency, and service levels, and giving birth to new formats of testing and certification. This forum brings together top domestic and foreign research institutions, universities, and enterprise experts and scholars to share cutting-edge achievements and practical experience, promote in-depth exchanges, build consensus, and work together towards a new future of laboratory digitization.