Company News

From October 31 to November 2, the 2023 Yunqi Conference was held in Yunqi Town, Hangzhou. The conference aims to lead computing technology innovation, showcasing new ideas, practices, and breakthroughs. The event featured a 40,000-square-meter tech exhibition covering computing power, AI+, and industrial innovation, along with two major forums and over 500 hot topics, offering developers a useful and engaging tech feast.Yan Shaolin, Chief Consultant for High-Quality Digital Transformation at Getech, was invited to attend and deliver a keynote speech on how 'cloud manufacturing' promotes sustainable high-quality development in the manufacturing industry.

Yan Shaolin pointed out that, driven by multiple factors such as policies and market development, 'Made in China 2025' is accelerating the digital transformation of manufacturing. Industrial internet platforms have become a key force in driving continuous changes in industrial infrastructure, production methods, and innovation models. Advanced technologies like cloud services are developing rapidly, accelerating the shift of the industrial economy toward a data-driven innovation system and development model.

“Taking advanced manufacturing as an example, 'manufacturing on the cloud' can help companies reduce costs and increase efficiency by shortening deployment cycles, lowering investment risks, reducing IT usage barriers, and improving business flexibility. For instance, in the semiconductor industry, using cloud computing platforms allows design teams to optimize simulations by scheduling and utilizing required hardware resources, improving development efficiency. Chip manufacturing and packaging/testing can use cloud monitoring to correlate production progress and data across various stages, enhancing production efficiency and product quality.”

Semiconductor factories involve complex processes and massive data. To achieve high-yield output, low latency and rapid response to all anomalies are essential. Yan Shaolin explained that cloud computing and edge computing, as two typical computing paradigms, each have their strengths and weaknesses. Relying solely on cloud or edge computing is insufficient to realize the vision of IoT and 5G communication. To address these challenges, cloud-edge collaboration has emerged, supporting further efficiency improvements in the semiconductor industry.

Yan Shaolin stated that the rapid advancement of 'cloud-edge collaboration' technology has led more companies to focus on using cloud technology to build digital factories and create intelligent systems from order to delivery, meeting diverse customer needs. Getech’s self-developed Dongzhi Industrial Application Intelligent Platform consists of GOS4.0 Industrial Operating System (3+1) and an industrial application ecosystem (N). Leveraging core technologies like IoT, big data, AI, and cloud computing, it achieves a complete closed loop of device connectivity, data analysis, and application development, providing comprehensive digital solutions across the entire value chain to empower digital transformation in various industries.

For example, in industrial AI visual inspection, Getech’s self-developed 'Tianshu AI' uses a cloud-edge collaboration architecture to apply industrial AI technology in quality inspection, material traceability, behavior recognition, and visual-guided assembly. This enhances production line intelligence, reduces manual work, ensures quality stability, and helps industries like semiconductors and new energy achieve quality and efficiency improvements through 'cloud manufacturing,' supporting high-quality development.

As cloud-edge-device integration becomes an important technological trend, cloud computing has entered a period of widespread adoption, while smart edge computing demand surges. Getech will further strengthen technological innovation, develop edge computing capabilities for specific scenarios, and integrate IT/OT applications to expand and extend, promoting the evolution from 'cloud-edge collaboration' to 'cloud-edge-device integration.'

During the roundtable forum, Yan Shaolin discussed with experts including Ding Xianfeng, Managing Partner/Chief Scientist of Wanwu Cloud; Liu Jiayu, CTO of Heihu Technology; and Xing Chao, General Manager of Hangzhou Mingqi Digital Technology Co., Ltd., on topics such as how to effectively apply industrial know-how with AI large models and industrial internet SaaS and PaaS applications in the industrial field.

Yan Shaolin emphasized that breakthroughs in large models/generative AI technology are expected to accelerate the deep application of AIoT in manufacturing. For instance, in quality management, introducing GPT technology enables AI to identify improvement processes and outputs, generating AIGC-type 8D reports for effective data and process management. Getech has applied AIoT technology to comprehensive data collection, manufacturing system integration, and business closed-loop driving, enabling AI to assist in data-driven decision-making.