On December 21, the "2024 iSoftStone AI + Digital Twin Innovation Forum" was held in Nanjing, organized by iSoftStone and co-hosted by the iSoftStone iSSMeta Metaverse Research Institute. The forum brought together nearly 100 top experts, leading enterprise representatives, and industry partners from across the digital twin and AI sectors to discuss the integration of these technologies and explore innovative practices. At the forum, the new version of the iSoftStone iSSMeta 2024 Digital Twin Simulation Platform was officially launched, alongside a collaboration agreement between iSoftStone and Jiangsu Vocational Institute of Commerce to promote industry-education integration.

Insights Driving Transformation, Leading Industry Development

Ning Zhenbo, former chief consultant at the Aviation Industry Information Technology Center of China and an independent director of China State Shipbuilding Corporation Limited, shared insights into the necessity and value of digital simulation in the aviation industry. Using examples from aircraft development processes, he vividly demonstrated the significant impact of aerodynamic simulation, assembly simulation, and structural mechanics simulation on improving the efficiency and reducing the costs of advanced aviation equipment development. He highlighted the advantages of a "top-down design and bottom-up integration" approach to digital product development. Looking ahead, virtual testing and trials based on fully digital prototypes are set to become a reality.

Professor Lu Jianfeng from Nanjing University of Science and Technology shared insights into the "Reliability Assessment Techniques for Digital Twin Systems". He noted that the deep integration of digital twin technology with artificial intelligence, cloud computing, and the Internet of Things is reshaping the paradigms for equipment development and deployment. Lu emphasized that high-fidelity modeling and highly reliable simulation are key to advancing the application of digital twin systems. He proposed an eight-dimensional evaluation framework for digital twin models, covering effectiveness, universality, efficiency, intuitiveness, connectivity, integrity, flexibility, and intelligence. Recently, Lu's team focused on developing a mechanism model of excavator engine dynamics and an interactive model of the entire machine. By collecting data from both physical and digital domains, they constructed an evaluation indicator tree and workflow, enabling credibility assessments.

Pioneering New Frontiers in Industrial Simulation

iSSMeta 2024 Platform Major Upgrade & iSSMeta Industrial Simulation FSim1.0 Launch

Before unveiling the products, Luo Dongmei, Vice President of iSoftStone Innovation and Technology Research Institute, shared the company's strategic approach to AI and digital twin products. She highlighted iSoftStone's 10+ years of dedication to digital twin technologies, emphasizing the company's commitment to integrating cutting-edge technologies and staying at the forefront of innovation. Luo outlined the latest concepts for deeper integration of digital twin technologies into industrial applications: 1. Digital twins will shift toward precision, accuracy, and scientific computing. 2. Interaction methods for digital twin technologies will evolve from single-modal to multi-modal interactive feedback mechanisms. 3. Digital twin applications are evolving from traditional visualization and control capabilities to multidisciplinary computational science, optimization, and decision-making approaches. At the same time, iSoftStone has comprehensively upgraded six key technical chains of digital twin technology with AI as the core, based on the actual needs of customers. In the future, the iSSMeta ecosystem will focus on industrial simulation engines and integrate with more mechanistic scientific models, continuously delivering higher-value applications to customers. In terms of products, iSoftStone's digital twin solutions fully embrace AI, adhering to the 5A philosophy (Accurate Modeling, Agile Simulation, Adaptive Optimization, Augmented Collaboration, and Autonomous Decision-Making). This approach drives advancements in scientific computing for digital twin simulations and enhances spatial intelligence in interaction, understanding, reasoning, and cognition, addressing core issues such as accurate mapping, precise computation, interactive feedback, and decision-making and interventions. This release marks a major upgrade to the iSSMeta-aPaaS platform and the launch of the iSSMeta FSim Process Simulation Platform. In addition, the forum showcased the latest developments and progress of the Tianhui Embodied Intelligence Composite Robot Platform.

During the event, witnessed by the attending guests, Ning Zhenbo (Former Chief Consultant of the Aviation Industry Information Technology Center of China and Independent Director of China State Shipbuilding Corporation Limited), Yao Wei (Director of the Industry-Education Integration Office at Jiangsu Vocational Institute of Commerce), Liu Huifu (CTO of iSoftStone), and Luo Dongmei (Vice President of iSoftStone Innovation and Technology Research Institute) jointly officiated the launch ceremony of the iSSMeta 2024 product.

Yuan Zhenjie, Chief Architect of the iSSMeta Research Institute of iSoftStone, provided an in-depth interpretation of the iSSMeta products. He highlighted the groundbreaking innovations in the upgraded iSSMeta 2024 platform, which exemplifies excellence in integrating AI engines, multimodal large models, twin agents, and intelligent technology frameworks. This integration positions it as a benchmark for independently controlled industrial twin simulation software. The upgraded aPaaS platform for digital twin foundations now incorporates breakthrough progressive automatic modeling technology, enabling the generation of 3D models with just a few photographs and a tenfold improvement in rendering capabilities. This innovation provides users with a cost-effective and highly efficient modeling tool: the Digital Twin Baseplate Editor. The newly launched iSSMeta FSim Industrial Process Simulation Software V1.0 is a cutting-edge process simulation engine built on the analysis of industrial mechanistic models and core research in full-process simulation. It includes essential features such as virtual production line setup, virtual product editing, configuration and computation, mechanistic model integration, twin construction, and industrial process optimization. The software offers robust and reliable support for virtual factories in production planning, process optimization, and capacity resource planning. Next, iSoftStone will continue to focus on digital simulation factories and production simulation, deepening the integration of AI and digital twin simulation within intelligent software architectures and product ecosystems. The company is committed to solidifying the foundation of the entire industrial manufacturing chain and all-round base platform.

Setting a Benchmark for Industry-Education Integration

iSoftStone Collaborates with Jiangsu Vocational Institute of Commerce

During the signing ceremony, iSoftStone CTO Liu Huifu, iSoftStone Innovation and Technology Research Institute Vice President Luo Dongmei, and Jiangsu Vocational Institute of Commerce Vice President Ju Changzhi took the stage to witness the event. Huang Haiyin, General Manager of iSoftStone Education's East China Region, and Yao Wei, Director of the Industry-Education Integration Office at the Jiangsu Vocational Institute of Commerce, signed the cooperation agreement on behalf of both parties.

Under the agreement, the two parties will engage in deep collaboration in talent development and scientific research, jointly promoting industry-academia-research integration in the digital twin field. This collaboration will not only help cultivate high-quality professionals for the industry but also enhance resource sharing and complementary advantages between enterprises and universities, injecting fresh vitality into industrial development.

Focusing on Industry Applications and Exploring Innovative Practices

This forum brought together experts and professionals from industries such as power, construction, logistics, and industrial software to share applications and insights on AI + digital twin technologies from different perspectives, providing valuable guidance and references for the industry. Key speakers included Feng Dawei, Deputy Director of the Carbon Neutral Technology Center and Director of the Energy and Dual Carbon Consulting Department at Jiangsu Power Design Institute; Dai Chenfeng, Assistant Dean of the Industry Research Institute at China Jiangsu International JCEC; Gao Min, Solution Director for the Simulation Division of ZWSOFT; and Wang Jia, Project Leader for Digital Twins at Shanghai CIMC Baowell. Based on their industrial practices, they shared the profound changes that digital twin technology has brought to the industry, especially how digital twin applications will drive industry development through technological innovation with the support of AI technology.

New Engine of Industrial Transformation

Opportunities and Challenges in the Deep Integration of Industrial Digital Twins and AI

In a panel discussion titled "New Engine of Industrial Transformation: Opportunities and Challenges in the Deep Integration of Industrial Digital Twins and AI", moderator Wan Ming (CTO of Zhongdian Vehicle Connectivity Information Security Technology Co., Ltd.) led discussions with panelists including: Zou Rongjin, Executive Dean of the Industry Academy at the School of Artificial Intelligence, Nanjing University of Information Science and Technology; Tan Chen, General Manager of Nanjing Spatial Yijie Network Technology Co., Ltd.; Qi Da, General Manager of Lvhui Intelligent Shanghai Co., Ltd. They explored the potential opportunities and challenges arising from the integration of industrial digital twins and AI across various dimensions, including technological innovation, scenario applications, market potential, talent development, and the commercialization of outcomes.

In the era of intelligentization, digital twins are emerging as a core technology supporting the deep digital transformation of enterprises. The combination of AI and digital twins has a profound impact on traditional, complex industrial applications. As a leading enterprise in the innovation of digital technology products and services in China, iSoftStone will continue to advance the field of industrial digital twins, spearheading innovation in "AI + digital twin" technologies and driving the high-quality development of modern industrialization.