SONGJIANG LEADS THE WAY IN DIGITA
In an era where artificial intelligence is not just a buzzword but the backbone of innovation, digital technologies are setting the stage for unprecedented transformations.
Songjiang, situated in the heart of the Yangtze River Delta region, is at the forefront of this industrial renaissance.
The district, known for its historical richness and cultural heritage, is now synonymous with the cutting-edge of digital transformation in the manufacturing sector. It is rapidly becoming a center of industrial digitalization. Over the past year, Songjiang has distinguished itself by leading the city in the number of national-level smart factories and exemplary digital scenarios.
Its approach to digital transformation is both comprehensive and strategic. By adopting advanced technologies, including AI-driven analytics, IoT (Internet of Things) and cloud computing, the district has fostered a conducive environment for the development of smart factories.
These factories are not just about automation but are focused on enhancing connectivity, real-time data analysis and decision-making processes, mirroring the cognitive and predictive capabilities of AI systems.
Intelligent factories
As a major upstream component manufacturer, Songjiang-based Baolong Group is among the early explorers of digitalization in the automotive manufacturing sector.
As early as 2005, Baolong established an information center dedicated to the development of informational software and embarked on digital exploration and application in 2008.
“Currently, with the advancement of full-chain digitalization projects, the company has achieved digitalization across all processes of production, sales, management and research,” said Huang Qicai, the deputy general manager of the group’s tire pressure monitoring system section.
Baolong has created a smart factory based on advanced technologies such as simulation and modern sensor technology. With an intelligent workshop control system, it integrates computer-aided design, product data management, and enterprise management software systems, achieving integrated optimization across design, process, management, manufacturing and logistics.
“In the past, all stages from order acquisition to delivery required offline communication. Now, these stages are interconnected online, which not only saves manpower but also allows managers and customers to promptly monitor the progress of orders,” Huang said.
Relying on the digital “smart brain,” the company’s production efficiency has increased by about 30 percent, the inventory stagnation rate has decreased by 75 percent, and the on-time delivery rate has reached 100 percent.
This is a vivid practice that exemplifies the rapid digital transformation in traditional manufacturing sectors, highlighting a case where addressing operational challenges paves the way for innovations.
Beibian Science and Technology, a leader in the specialized niche of electrical equipment, commands over 20 percent of the domestic market with its high-end frequency converters and transformers.
It recently launched the “Digital Industrial Power Supply R&D Management Platform” on the basis of its original digital system. “The market demand is growing, but the process of interfacing with customers is cumbersome, affecting product delivery efficiency and unable to respond promptly to customer needs,” said the general manager, Shi Yaojie.
The new platform enables remote R&D collaboration between the enterprise and customers, allowing them to customize designs based on their needs through the platform.
The omission of intermediate links such as marketing and pre-sales enables rapid product delivery; the application of data simulation technology shortens the trial-and-error cycle, reduces cost consumption, and significantly increases product development speed.
“The delivery time for individual
It’s estimated that by 2025, 80 percent of the industrial enterprises above the designated size in Songjiang will finish their digital transformation.
Wu Qing Songjiang Sceince and Technology Commission