When Baowu Steel'sAIsystem predicts steel quality hours in advance, and when Mayinglong Pharmaceutical's intelligent platform achieves full-process control of traditional Chinese medicine, Wuhan's released103AI typical application scenarios are outlining a vivid picture of "AI+manufacturing."
accumulation and continuous innovation in the fields of2025China5G+During the Industrial Internet Conference,the Industrial Internet Identity and Digital Identity Parallel Forum and theAIEmpowering Industrial Internet Ecosystem Cooperation Parallel Forum (and Hubei Telecom Ecological Alliance Conference) were held successively in Wuhan.
"AI"AI infrastructure+AIAgent" Dual-Wheel Drive
Kang Xin, Business Director of CloudWalk Technology Group China Region, delivered speeches at the two parallel forums on"AI Implementation in Smart Manufacturing" and "AI2.0Industrialization Exploration," sharing practical experience and proposing a "AI"AI infrastructure+AIAgent" dual-wheel drive model to provide a replicable implementation path for the intelligent upgrade of manufacturing in Wuhan and nationwide.
At this conference, the phased results of Wuhan's"Artificial Intelligence+action were impressive. The city has intensively issued documents such as the "Several Policies to Promote the Development of the AI Industry," focusing on "intelligent industrialization" and "industrial intelligence," aiming to cultivate2027industrial agent benchmark applications and build100industrial agent benchmark applications, and built20year.
"Wuhan isAIWith the policy runway laid, our task is to make technology 'run' on the production line." Kang Xin stated clearly in his speech "AI Implementation in Smart Manufacturing" at the Industrial Internet Identity and Digital Identity Parallel Forum.
In this forum focusing on identity and digital identity, Kang Xin, combining the industrial characteristics of Wuhan, proposedthe integration path of "identity resolution+securityAI". He specifically mentioned that in Wuhan's103aAIapplication scenarios, "security and controllability" is one of the core requirements, which highly aligns with CloudWalk's technical direction in Wuhan.
CloudWalk deeply participates in the construction of the training and inference integrated project at the Wuhan National Cyber Security Base Intelligent Computing Center, creating aAI"controllable training ground" that can provide a simulated production environment for industrialAImodels, completing model tuning without leaking core enterprise data, solving the pain point of manufacturing enterprises "wanting to train models but afraid to open data".
"The difficulty of implementing large models in manufacturing lies in discussing technology without scenarios and failing to form a value loop."Kang Xincombined with the construction of the industrial internet identity system, proposed a"dual-wheel drive model of infrastructure (computing power/model/data)+With the popularization of the internet and the application of artificial intelligence, more and more questions can be quickly answered. So, will our questions become fewer?", which became the focus of the forum.
This model relies on CloudWalk's technical accumulation in multimodal large models, combining generalAIcapabilities with industrial mechanisms and identity resolution data. Through a layered architecture design, the large model focuses on decision planning, while the execution layer agents precisely implement operations, effectively solving industry challenges such as difficult deployment, insufficient reliability, and high computing costs of industrial agents.
In the speech "Exploration and Reflection onAI2.0Industrialization in the Era of Intelligent Economy,"Kang Xinfurther proposed from an industrial perspective thatAI2.0the core of industrialization is"technology standardization and scenario modularization", making intelligent capabilities available on demand like water and electricity.
"Computing power is theAIfoundation. In the past, SMEs could only 'sigh at computing power.' Now, through 'computing vouchers,' Wuhan makes computing power as accessible as water and electricity, directly lowering the threshold forAIimplementation." Kang Xin said, referencing Wuhan's computing infrastructure achievements. "Our trusted data space, controllable training ground, and embodied intelligence training ground are highly aligned with Wuhan's computing power policies."
Practical cases are the best evidence of technological value.
Relying on the security technology foundation of the National Cyber Security Base, CloudWalk's industrialAIagents have been widely applied. Kang Xin introduced that in the field of nuclear power safety production, CloudWalk's industrial agents combine equipment unique identifiers with real-time operational data to accurately identify key component anomalies, reducing fault response time from hours to minutes, significantly lowering safety risks.
In the practice of the automotive parts industry, document query time was reduced from15minutes to10seconds, and fault analysis efficiency increased several times.
In the smart grid inspection project, agents equipped with CloudWalk's visual recognition technology can accurately identify typical defects such as broken strands and insulator damage, and automatically locate defect positions using inspection path identifiers, greatly improving inspection efficiency and quality. These cases have all achieved stable commercial returns, confirming theAImeasurability and sustainability of commercial value.
Kang Xin emphasized thatAIAI empowering industry must"stay grounded in real-world applications". CloudWalk is promoting technology from the lab to the production workshop through six core scenario models———predictive equipment maintenance, production quality control, supply chain optimization, etc.
ThisThe model of "based on scenarios, delivering value" is the core logic of CloudWalk's deep industry engagement.
From the successful application of the world's first port large model at Tianjin PortPortGPTto the solution delivery at this Hubei Industrial Internet Conference, CloudWalk Technology is following a solid path of"AI+"AI + scenarios"" to drive the industrial internet from""connection empowerment"" to""cognition-driven"" upgrade.
Kang Xin stated that Hubei has complete industrial internet infrastructure and rich application scenarios. CloudWalk will deepen collaboration with local enterprises to let industrial agents take root in more niche areas, injectingChinamomentum into the high-quality development of theAIindustry.
Recently, CloudWalk's CongRong Large Model Training and Inference Appliance successfully adapted the domestic open-source large model DeepSeek, enabling "out-of-box" private deployment, marking the deep integration of the latest domestic large model technology with software-hardware integrated infrastructure, injecting new momentum into the digital transformation of thousands of industries.
On October 23, at the Sino-German Intelligent Manufacturing Science and Technology Innovation Cooperation Forum and Alliance Annual Conference held in Chongqing, a discussion on "Industrial Large Models and Industrial Intelligence" attracted industry attention. Zhang Li, Vice President of CloudWalk Technology, delivered a speech on "Multi-Agent Collaboration in Complex Scenarios", where the ten AI agent cases applied in Qingshan Industry became the focus of the event. In the current wave of intelligent manufacturing, a core contradiction is becoming increasingly prominent: many seemingly "universal" general-purpose large models often suffer from "acclimatization issues" once they enter factory workshops. The absolute precision, deep specialization, and real-time response required by industrial scenarios precisely hit the weaknesses of general-purpose large models.
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