近期，以“Data Flow, Manufacturing Foundation”为主题的华为法国制造峰会在巴黎成功举行。作为华为长期的核心战略合作伙伴，赛意信息受邀出席本次峰会，携多项成熟落地的AI+智能制造联合解决方案亮相国际舞台，向全球企业展现中国工业科技的硬核实力与全球化服务能力。
Recently, the Huawei France Manufacturing Summit, themed ''Data Flow, Manufacturing Foundation,'' was successfully held in Paris. As Huawei''s long-term core strategic partner, SIE was invited to attend this summit, showcasing multiple mature and implemented AI intelligent manufacturing joint solutions on the international stage, demonstrating the strong capabilities of Chinese industrial technology and global service capabilities to enterprises worldwide.
峰会现场，法国华为企业业务负责人李晗出席活动并发表开场致辞。近年来中法在数字经济领域的交流与合作持续加强，法国制造行业也正加快推进数字化与智能化转型，对高质量ICT解决方案的需求不断提升。李晗表示，华为将持续与制造客户及生态伙伴深化合作，推动创新技术在实际生产业务场景中的应用。
At the summit, Li Han, Head of Huawei Enterprise Business in France, attended the event and delivered the opening remarks. In recent years, exchanges and cooperation between China and France in the field of the digital economy have continued to strengthen. The French manufacturing industry is also accelerating its digital and intelligent transformation, with a growing demand for high-quality ICT solutions. Li Han stated that Huawei will continue to deepen cooperation with manufacturing clients and ecosystem partners, promoting the application of innovative technologies in real production and business scenarios.
深耕制造业数智化服务领域超二十载，赛意信息已从ERP实施服务商，成长为全球领先的全栈AI数智化解决方案提供商。目前，业务覆盖全球30多个国家和地区，累计服务超3200家客户。在高科技电子、家电、新能源光伏等领域的MES市场占有率稳居行业首位，凭借深厚的技术积淀与丰富的落地经验，构筑起坚实的全球化服务壁垒。赛意信息海外业务中心总裁钱敏毓在主题演讲中，全面分享了公司与华为在智能制造及财务数字化等关键场景的协同落地经验，充分展现了赛意信息深耕制造行业多年的技术积淀、创新实力与落地能力。
With over twenty years of deep cultivation in the digital intelligence services field for the manufacturing industry, SIE has grown from an ERP implementation service provider into a global leading full-stack AI digital intelligence solutions provider. Currently, its business spans more than 30 countries and regions worldwide, serving over 3,200 clients in total. The company maintains a leading market share in the MES sector across high-tech electronics, home appliances, and new energy photovoltaic industries. Leveraging its strong technological foundation and extensive practical experience, it has built a robust global service barrier. In his keynote speech, Alva Qian, President of SIE''s International Business Center, comprehensively shared the company’s collaborative implementation experiences with Huawei in key scenarios such as intelligent manufacturing and financial digitalization, fully demonstrating SIE''s years of technical accumulation, innovative strength, and practical execution capabilities in the manufacturing industry.
钱敏毓表示，赛意信息与华为的战略合作跨越二十余年，深度贯穿华为数字化全周期，双方合作模式已实现全面升级，从早期的项目交付合作，迭代为技术共研、方案共创、市场共拓、生态共赢的全方位深度融合模式，持续携手打造适配全球制造业的标杆数智化方案。本次峰会，赛意信息依托华为鲲鹏、昇腾算力及云平台底座，重点展示三大核心联合落地成果，聚焦工厂数字化重构、智能质量检测、安全生产管控三大制造核心痛点，为全球制造企业提供可复制、高价值的数智化转型方案。
Alva Qian stated that the strategic cooperation between SIE and Huawei has spanned more than twenty years, thoroughly integrating into Huawei''s entire digitalization lifecycle. The cooperation model has been fully upgraded, evolving from early project delivery collaborations to a comprehensive deep integration model encompassing joint technology research, co-creation of solutions, joint market expansion, and mutual ecosystem benefits. Together, they continue to develop benchmark intelligent digital solutions suitable for the global manufacturing industry. At this summit, SIE, leveraging Huawei''s Kunpeng and Ascend computing capabilities and cloud platform infrastructure, emphasizes three core joint implementation achievements, focusing on three key manufacturing challenges: factory digital reconstruction, intelligent quality inspection, and safety production management. This provides global manufacturing enterprises with replicable and high-value intelligent digital transformation solutions.
在智能工厂全域数字化领域，赛意信息携手华为云联合打造的国星光电智能制造标杆项目，为大型集团制造数字化升级提供范本。该项目基于云原生架构搭建工业软件技术平台底座，聚焦电子封装、电子装联两大核心制造场景，打造覆盖生产、质量、设备及集团化管理的全链条数字化解决方案。该方案可全面适配多品类、多模式柔性生产，支持集团级多工厂统一管控、工艺标准统一落地、生产订单协同调度，从根源上解决传统制造系统兼容性差、扩展性弱的难题，助力企业实现集团化、标准化、智能化生产治理升级。
In the field of full-domain digitalization for smart factories, SIE, in collaboration with Huawei Cloud, has jointly developed the Nationstar Optoelectronics intelligent manufacturing benchmark project, providing a model for digital transformation in manufacturing for large-scale groups. This project builds an industrial software technology platform foundation based on a cloud-native architecture, focusing on two core manufacturing scenarios: electronic packaging and electronic assembly. It creates a full-chain digital solution covering production, quality, equipment, and group-level management. The solution can fully adapt to multi-category, multi-mode flexible production, support unified control across multiple factories at the group level, implement standardized processes, and coordinate production orders, fundamentally resolving the traditional manufacturing systems'' issues of poor compatibility and weak scalability. It helps enterprises achieve an upgrade towards group-level, standardized, and intelligent production management.
在工业AI质检场景，双方联合研发的AI视觉组件缺陷检测方案，重塑传统精密制造质检模式：依托华为强大算力与赛意工业AI视觉算法能力，替代传统人工与老旧AOI检测模式，有效破解传统质检易停机、精度低、误检漏检频发、人工成本高昂等痛点，大幅降低质检差错率与运营成本，全面适配电子、家电、光伏等多行业精密零部件检测场景，助力企业实现提质、降本、增效一体化升级。
In industrial AI quality inspection scenarios, the AI visual component defect detection solution jointly developed by both parties is reshaping the traditional precision manufacturing quality inspection model: leveraging Huawei’s powerful computing capabilities and SIE’s industrial AI visual algorithm expertise, it replaces traditional manual inspection and outdated AOI detection methods, effectively addressing pain points such as frequent downtime, low accuracy, high false and missed detection rates, and high labor costs in conventional quality inspections. It significantly reduces inspection errors and operational costs, fully adapts to precision component inspection scenarios across multiple industries including electronics, home appliances, and photovoltaics, and helps enterprises achieve integrated upgrades in quality improvement, cost reduction, and efficiency enhancement.
在工业安全生产领域，双方共创的AI视觉SOP安全动作识别方案，为高危生产场景筑牢安全防线。通过AI视频实时分析、作业动作精准识别、违规行为即时预警，实现高危作业全流程智能管控，将企业安全规范执行率提升80%，有效规避人员伤害、设备腐蚀、物料泄漏及环境污染等风险，助力企业实现安全生产标准化、合规管控智能化。
In the field of industrial safety production, the jointly developed AI visual SOP safety action recognition solution has established a strong safety barrier for high-risk production scenarios. Through real-time AI video analysis, precise recognition of operational actions, and instant alerts for violations, it enables intelligent, full-process management of high-risk operations, increasing enterprises'' compliance with safety regulations by 80%. This effectively mitigates risks such as personal injury, equipment corrosion, material leakage, and environmental pollution, helping enterprises achieve standardized safety production and intelligent compliance management.
除核心智造场景外，赛意信息与华为在工艺智能优化、供应链智能调度、集团财务智能决策等领域也形成了成熟联合解决方案，可全方位满足制造企业生产、管理、运营全链路数智化升级需求。
Beyond the core intelligent manufacturing scenarios, SIE and Huawei have also established mature joint solutions in areas such as process intelligence optimization, intelligent supply chain scheduling, and intelligent group financial decision-making, capable of comprehensively meeting the full-spectrum digital and intelligent upgrade needs of manufacturing enterprises in production, management, and operations.
本次亮相华为法国制造峰会，不仅标志着赛意信息全球化布局的持续深化，更展现了中国工业软件企业走向国际市场的底气与实力。未来，赛意信息将继续携手华为，深耕制造业核心应用场景，以AI驱动行业智能化跃迁，把中国智造实践经验推广至全球市场，共同助力全球制造企业构建面向未来的核心竞争力，推动制造业高质量发展。
This appearance at the Huawei France Manufacturing Summit not only marks the continued deepening of SIE''s global expansion but also showcases the confidence and strength of Chinese industrial software companies in entering the international market. Looking ahead, SIE will continue to collaborate with Huawei, focusing on core manufacturing application scenarios, driving intelligent transformation of the industry through AI, and promoting China''s smart manufacturing practices to the global market. Together, they will help global manufacturing enterprises build future-oriented core competitiveness and advance high-quality development in the manufacturing sector.