On June 26, 2026, the 2026 AI Innovation and Development Forum for Bulk Commodity Inspection and Testing, hosted by China Leon Inspection Holding Limited, was held at Pullman Tangshan in Hebei Province. Nearly 300 industry experts, university scholars, and representatives from across the industrial chain attended the forum to discuss the deep integration of artificial intelligence with bulk commodity inspection and testing, as well as pathways for intelligent industrial transformation.
At the forum, Leon Inspection released its AI development strategy and presented its phased deployment in intelligent bulk commodity inspection and testing, focusing on topics such as AI implementation, smart laboratory development, carbon asset development, and full-process quality control. The forum also brought together leading domestic and international think tanks, industry associations, and university research institutions, featuring sessions on policy interpretation, technology sharing, achievement showcases, and resource matchmaking.
As a core component of National Quality Infrastructure (NQI), Testing, Inspection and Certification (TIC) is taking on a new mission under the 15th Five-Year Plan to promote high-quality development, maintain market order, and safeguard national security. Enhancing industry credibility, strengthening support capabilities, and expanding international influence are becoming shared priorities for the TIC industry.
Industry Consensus Takes Shape as TIC Intelligence Accelerates
The forum opened with discussions on industry trends and transformation directions. In his keynote speech, “Launching a New Journey of Digital Intelligence and Empowering Quality Inspection Development,” Li Xiangli, Chairman and President of Leon Inspection, said the inspection and testing industry is entering a new stage of digital and intelligent transformation. The integration of AI technology with inspection and testing scenarios will further improve efficiency, quality control, and service capabilities in bulk commodity inspection and testing.
Zhang Lin, Secretary-General of the China Entry-Exit Inspection and Quarantine Association, interpreted the policy direction for the digital transformation of China’s inspection and testing industry from the perspective of an industry association. He noted that digitalization and intelligence are inevitable directions for the transformation and upgrading of the commodity inspection industry. In bulk commodity inspection and testing, traditional manual testing models have long faced challenges such as high costs, limited efficiency, and difficulties in process traceability. The application of AI, intelligent robots, big data, and other technologies can optimize testing processes, reduce human error, and promote more standardized and traceable testing procedures.
This makes the intelligent transformation of bulk commodity inspection and testing an important direction for improving industry credibility, service capabilities, and standardization.
Trusted Governance Advances as AI-Based Smart Inspection Standardization Becomes Key
As AI enters inspection and testing scenarios, participants focused not only on efficiency gains but also on data security, the credibility of testing results, and algorithm compliance.
Xu Min, Chief Representative and Secretary-General of the Shanghai Representative Office of the TIC Council, shared insights under the theme “AI-Empowered Innovation, Risk Governance, and a Trusted Future for Bulk Commodity Inspection and Testing.” Drawing on AI implementation cases from testing institutions around the world, she analyzed potential risks related to data security, testing result credibility, and algorithm compliance, and proposed international and standardized risk governance solutions.
Her presentation shifted the discussion from whether AI can be used to how AI can be used in a regulated manner. For the inspection and testing industry, AI can improve efficiency, but testing results ultimately serve trade, quality, safety, and regulatory scenarios, making credibility and compliance essential.
Leon Inspection Implements Its Strategy as AI-Based Smart Inspection Enters Bulk Commodity Testing Processes
Beyond industry direction and governance topics, the forum’s enterprise practice component centered on the release and demonstration of Leon Inspection’s AI development strategy and related application scenarios.
Li Wenhua, Vice President of Leon Inspection and President of the Leon Inspection Energy Testing Technology Research Institute, released “Leon Inspection’s AI Development Strategy and Applications.” According to the release, Leon Inspection will advance the intelligent upgrading of its bulk commodity inspection and testing business through AI technology R&D, smart laboratory development planning, implementation roadmaps for intelligent testing across all bulk commodity categories, and collaborative industry-university-research innovation. The forum also featured an AI smart inspection technology experience zone, showcasing Leon Inspection’s full-chain innovation achievements in standardization, informatization, and intelligence. Participants observed self-developed results such as intelligent testing equipment and digital management and control systems.
Focusing on smart laboratories and intelligent hardware implementation, Zeng Zhuoqi, Dean of the School of Engineering at Hainan Bielefeld University of Applied Sciences, delivered a speech titled “Exploration and Application of Intelligent Robots in Inspection and Testing Scenarios.” Based on cutting-edge university research, he explained the R&D and application scenarios of intelligent sampling robots, fully automated sample preparation equipment, and unmanned testing production lines, while analyzing the advantages, technical challenges, and optimization solutions for using intelligent robots to replace manual labor in repetitive testing procedures.
The forum also further explored industrial practices. Liu Peifeng, Associate Research Fellow at the Institute for Innovation and Development of Tsinghua University, delivered a presentation titled “AI Development and Industrial Exploration,” analyzing the underlying logic of AI in empowering the real economy.
At the forum, several Leon Inspection business leaders shared insights on coal, non-coal bulk commodity inspection, carbon asset development, and full-process quality control systems, demonstrating Leon Inspection’s comprehensive service capabilities across full-category bulk commodities, low-carbon and green development, and quality control.
In addition, AI experts and industry representatives held discussions under the theme “Deepening Vertical Applications to Make AI Truly Serve the Real Economy,” exchanging views on digital pain points in bulk commodity testing, challenges in implementing intelligent equipment, and collaborative innovation across the industrial chain.
Information released at the forum shows that AI implementation in the bulk commodity inspection and testing industry is no longer limited to standalone equipment or single-system applications. It is gradually extending to laboratory development, testing processes, quality control, carbon asset services, and industrial chain collaboration.
As the forum organizer, Leon Inspection has been deeply engaged in bulk commodity inspection and testing for many years and has continued to increase investment in digital and intelligent R&D. It has established a testing service system covering coal, various non-coal bulk commodities, and low-carbon carbon verification. The release of the Group’s AI development strategy marks Leon Inspection’s official entry into a new stage of large-scale AI-based smart inspection implementation. Looking ahead, Leon Inspection will continue to rely on technological innovation to provide efficient, accurate, and intelligent inspection and testing solutions for upstream and downstream enterprises, supporting cost reduction, efficiency improvement, and green, low-carbon development in the bulk commodity industry.
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Company Name: Leon Inspection
Contact Person: Xu Jiatong
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City: Beijing
Country: China
Website: https://www.leontest.com/
