清迈大学参访西格数据标杆客户-SKF数字化工厂,共探中泰数智化合作新未来


江苏西格数据赋能SKF数字化转型

国际化合作助力全球智能制造升级

引言:数智化浪潮下的国际化合作  

在全球制造业加速数字化转型的背景下,中泰两国在智能制造领域的合作日益紧密。近日,泰国清迈大学工程代表团专程到访SKF中国数字化工厂,深入考察由江苏西格数据打造的数智化解决方案。此次交流不仅展现了SKF在轴承制造领域的数字化标杆实践,更标志着中泰产学研机构在工业大数据、IoT以及人工智能等领域的深度合作迈入新阶段。  

一、SKF数字化工厂:西格数据赋能全球标杆案例 

作为全球轴承科技领导者,SKF始终走在工业数字化转型前沿。其中国工厂引入西格数据“数智化工厂管理系统”,实现了从生产设备监控、工艺优化到质量追溯的全链路数字化升级  

 设备智能运维:西格工业物联网(IIoT)平台实时采集设备数据,实现通过设备预测性维护降低停机率;  

 能效精细管:通过能源大数据分析,协助推进SKF能源全过程逐步实现零排放;  

▶ 全流程可追溯:基于西格数据质量追溯系统,实现产品加工过程100%追溯,客户满意度显著提升。  

清迈大学团队对SKF工厂的全自动生产过程和数字化系统给予高度评价:“这是工业4.0与泰国‘智慧东部经济走廊’战略的完美契合点。”  

 二、中泰产学研联动:共筑数智化国际合作生态 


西格数据在SKF工厂参访中,向清迈大学团队揭示了三个关键价值跃迁点:  

1. 数据驱动决策

突破行业"数据大屏"局限,通过智能决策引擎实现业务动作的快速闭环。  

2. 系统韧性升级

单机OEE提升的同时,通过跨工序协同使产线异常响应速度提升,颇受清迈大学师生认可:"这体现了数字化的抗风险价值"。  

3. 组织能力进化 

西格数据研发的系统将经验数字化,企业生产节拍和运营效率大幅提升,展现数字化转型对组织的深层重塑。


此次参访不仅是技术考察,更是一次跨国资源整合的契机:   

▶ 技术共享:西格数据与清迈大学达成意向,将共同推进泰国汽车工业的数字化应用;  

▶ 人才培育:双方计划未来进一步深度合作,结合泰国市场共同培育工业4.0储备技术人才;  

▶ 市场拓展:西格数据将通过联合清迈大学,加速布局东南亚数字化服务市场。  

清迈大学Dr. Somchai教授表示:“中国在智能制造领域的实践经验,将为泰国汽车、电子等支柱产业升级提供关键支持。”  

  三、西格数据的国际化战略:技术输出,生态共赢 

作为中国工业大数据领域的隐形冠军,西格数据正以“技术+场景”双轮驱动模式走向全球:  

▶ 标准化解决方案:适配ISO国际标准,已服务SKF、博世汽车等20余家跨国企业;  

▶ 本地化服务网络:在泰国、越南设立技术中心,提供“零时差”响应支持;  

▶ 生态化合作:联合高校、行业协会共建亚太工业互联网联盟。  

“我们期待成为中泰智能制造合作的‘数据桥梁’。”西格数据CEO余世阁在交流中强调。

结语:从江苏·苏州到东南亚及泰国,数智化智能制造没有国界  

SKF数字化工厂的案例证明,中国技术方案已具备服务全球高端制造业的能力。随着西格数据与清迈大学合作的深化,未来将有更多东南亚企业共享中国数字化转型红利。  

如果您正在寻找:  

✅ 跨国数字化工厂落地经验  

✅ 工业大数据与AIoT整合方案  

✅ 东南亚市场本地化服务支持  

欢迎联系西格数据,获取《西格数据数字化工厂白皮书》及定制化咨询! 

  • Chiang Mai University visits SKF Digital Factory, a benchmark client of SIGER Data, to explore the new future of digital cooperation between China and Thailand


Jiangsu SIGER Data empowers SKF's digital transformation 

International cooperation helps global smart manufacturing upgrades

Introduction: International cooperation under the wave of digitalization

Against the backdrop of the accelerated digital transformation of the global manufacturing industry, the cooperation between China and Thailand in the field of intelligent manufacturing is becoming increasingly close. Recently, an engineering delegation from Chiang Mai University in Thailand made a special trip to visit SKF China Digital Factory to conduct an in-depth study of the digital solutions created by Jiangsu SIGER Data. This exchange not only demonstrated SKF's digital benchmarking practices in the field of bearing manufacturing, but also marked that the in-depth cooperation between Chinese and Thai industry-university-research institutions in the fields of industrial big data, IoT and artificial intelligence has entered a new stage.

1. SKF Digital Factory: SIGER Data empowers global benchmark case

As a global leader in bearing technology, SKF has always been at the forefront of industrial digital transformation. Its Chinese factory introduced SIGER Data's "digital factory management system" to achieve full-link digital upgrades from production equipment monitoring, process optimization to quality traceability: 

Intelligent equipment operation and maintenance: SIGER Industrial Internet of Things (IoT) platform collects equipment data in real time to reduce downtime through predictive maintenance of equipment.

Fine energy efficiency management: Through energy big data analysis, SKF helps to gradually achieve zero emissions in the entire energy process.  

Full process traceability: Based on the SIGER Data quality traceability system, 100% traceability of product processing is achieved, and customer satisfaction is significantly improved.

The Chiang Mai University team highly praised the fully automatic production process and digital system of the SKF factory: "This is the perfect fit between Industry 4.0 and Thailand's 'Smart Eastern Economic Corridor' strategy".

2. China-Thailand Industry-University-Research Collaboration: Building a Digital International Cooperation Ecosystem


During the visit to the SKF factory, SIGER Data revealed three key value transition points to the Chiang Mai University team:

2.1 Data-driven decision-making

Break through the limitations of the industry's "big data screen" and achieve a rapid closed loop of business actions through an intelligent decision-making engine.

2.2 System resilience upgrade  

While improving the OEE of a single machine, the abnormal response speed of the production line is improved through cross-process collaboration, which is highly recognized by teachers and students of Chiang Mai University: "This reflects the risk-resistant value of digitalization".

2.3 Evolution of organizational capabilities

The system developed by SIGER Data digitizes experience, greatly improves the production rhythm and operational efficiency of enterprises, and demonstrates the deep reshaping of the organization by digital transformation.


This visit is not only a technical inspection, but also an opportunity for cross-border resource integration: 

Technology sharing: SIGER Data and Chiang Mai University have reached an agreement to jointly promote the digital application of Thailand's automotive industry.

Talent cultivation: The two parties plan to further deepen cooperation in the future and jointly cultivate technical talents for Industry 4.0 in combination with the Thai market.  

Market expansion: SIGER Data will accelerate the layout of the Southeast Asian digital service market by cooperating with Chiang Mai University.

Professor Dr. Somchai of Chiang Mai University said: "China's practical experience in the field of intelligent manufacturing will provide key support for the upgrading of Thailand's pillar industries such as automobiles and electronics".

SIGER Data's internationalization strategy: technology output, ecological win-win

As a hidden champion in China's industrial big data field, SIGER Data is going global with a dual-wheel drive model of "technology + scenario": 

Standardized solutions: Adapting to ISO international standards, it has served more than 20 multinational companies such as SKF and Bosch Automotive.

Localized service network: Establishing technical centers in Thailand and Vietnam to provide "zero time difference" response support. 

Ecological cooperation: Jointly building the Asia-Pacific Industrial Internet Alliance with universities and industry associations. 

"We look forward to becoming the 'data bridge' for China-Thailand smart manufacturing cooperation," SIGER Data CEO Yu Shige emphasized during the exchange.


Conclusion: From Jiangsu and Suzhou to Southeast Asia and Thailand, digital intelligent manufacturing has no borders.

The case of SKF's digital factory proves that Chinese technology solutions have the ability to serve the global high-end manufacturing industry. With the deepening of cooperation between SIGER Data and Chiang Mai University, more Southeast Asian companies will share the dividends of China's digital transformation in the future.

【Call for Action】

If you are looking for:

 Multinational digital factory implementation experience

✅ Industrial big data and AIoT integration solutions

✅ Localized service support for the Southeast Asian market


Welcome to contact SIGER Data to obtain the "SIGER Data Digital Factory White Paper" and customized consultation.

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