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At the 2022 Inspur Information Ecosystem Partner Conference (IPF22), Chen Shengzhong, Senior Vice President of TCL CSOT, was invited to deliver a keynote speech titled "From Smart Factory Practice to the Path of Digital Transformation," sharing three practical cases where Getech assisted TCL CSOT in achieving digital transformation and upgrading.

The Inspur Information Ecosystem Partner Conference (IPF) is a technological feast for visionaries and innovators. Having been held for eight consecutive years, it has grown into a top-tier global summit and trendsetter in the IT infrastructure field. The conference is dedicated to connecting technology and industry through intelligent computing, fostering the integration of the digital economy and the real economy. Guests from around the world, including academicians, scholars, technical experts, government officials, and industry leaders, have shared insights and practices on digital transformation in sectors such as digital cities, smart manufacturing, and smart energy.
In recent years, TCL CSOT has placed great emphasis on digital transformation. Guided by company leadership and the CSOT Digital Transformation Framework, efforts have been made to deepen the integration of next-generation information technology and manufacturing, supporting TCL CSOT's global leading strategic goals. Chen Shengzhong, Senior Vice President of TCL CSOT, delivered a keynote speech titled "From Smart Factory Practice to the Path of Digital Transformation" at the conference, detailing CSOT's journey from smart manufacturing practices to digital transformation and sharing three cases where Getech assisted in achieving digital transformation and upgrading.

Dongzhi Industrial IoT

First is the application of the Dongzhi Industrial IoT system. Factories in the semiconductor display industry are highly automated and equipped with standard EDA systems, enabling real-time collection of vast amounts of production data. The introduction of Getech's G-Things system primarily addresses the issue of unstable process quality during the production of high-end products.
As production management becomes more refined, the original volume of production data can no longer meet the monitoring requirements for process control in high-end product manufacturing. Therefore, continuous improvements are needed to increase the data collected from equipment. One approach is to retrofit the equipment, but TCL CSOT's factories have over a hundred types of major equipment, mostly sourced from international manufacturers, making direct retrofitting costs prohibitively high. Instead, Getech's IoT technology was applied to address the diversity of underlying device communications and high retrofitting costs, meeting the needs for diverse data protocols and timely engineering parsing, thereby reducing costs and improving efficiency.
To date, tens of thousands of sensors have been connected, enabling direct data upload. Edge computing reduces the volume of massive, high-frequency, continuous data, allowing real-time collection and parsing while synchronizing with FDC, SPC, and big data systems. This achieves real-time monitoring and analysis, ensuring high-quality production.

Big Data

The second application is big data analytics, used to analyze the relationships among tens of thousands of complex production process parameters. TCL CSOT's product manufacturing processes require micron-level precision, generating massive amounts of data daily from equipment process parameters and semi-finished product characteristics. Traditional statistical process control (SPC) methods could not meet the demands for rapid and precise analysis.
Thus, MFA (Multi-Factor Analysis) was introduced to analyze different equipment parameters across various dimensions, such as time. After identifying key subtle factors, parameter modeling was further developed, setting single-slot control, optimizing FDC monitoring, and improving interception efficiency. This enabled closed-loop automated monitoring, ensuring high-quality production.

AI Technology

The third application is AI. For product quality inspection in TCL CSOT factories, defect classification was previously done manually by inspectors based on photos of defective products. Production lines relied heavily on manual labor, with each qualified worker requiring over three months of training, creating significant labor pressure. Moreover, the accuracy of manual inspection fluctuated considerably.
Therefore, AI visual inspection technology was introduced with the Auto Defect Classification (ADC) system. A self-learning model was developed to automatically classify defect types and severity levels, achieving higher accuracy than manual inspection with uninterrupted operation. This was the first successfully implemented ADC system in the display manufacturing industry.

Enterprise digital transformation must revolve around addressing business development as its core focus. The three smart manufacturing application cases implemented by Getech for TCL CSOT focus on solving internal factory process upgrade pain points, aiming to address product quality issues, achieve optimal cost, meet delivery requirements, and maximize capacity utilization.
Moving forward, TCL CSOT will deepen cooperation with partners like Getech and Inspur Information in digital transformation and smart manufacturing development. Both parties will collaborate on building shared experiences, further deepening cooperation in platforms, systems, and roadmaps for digital transformation, mutually enhancing technological accumulation and external output capabilities in this field.