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In 2020, the Industrial Internet and Artificial Intelligence were highlighted in the Central Politburo meeting and included in the 7 major areas of new infrastructure. On March 23, Dr. Wang Jin, Chief Manufacturing Consultant of GETECH, was invited to share insights on 'Industrial Application Intelligent Platform Development and User Needs' in Tencent's Industrial Public Welfare Course.

| Industrial Application Intelligent Platform is the Upgrade Direction of Industrial Internet Platforms

Whether based on the theoretical foundation of the DIKW pyramid model (a knowledge management model) or the extensive practices of leading industrial enterprises domestically and internationally, it is clear that the future direction of Industrial Internet platforms is: advancing towards Industrial Application Intelligent Platforms!

The three stages of Industrial Internet platform development: IoT Platform stage, achieving connectivity of production factors and data visualization, accumulating vast amounts of data; Big Data Platform, analyzing data to model and identify factors affecting production, analyzing and solving problems; Industrial Application Intelligent Platform, applying AI to more practical production scenarios.

| Value Proposition of Industrial Internet Platforms: Data-Driven Intelligence Under Extensive Connectivity

The Industrial Internet connects everything, generating vast amounts of data. We aim to extract more high-value information from low-value data and use network extension to solve major issues in industrial system integration.

In addressing these challenges, we deepen our understanding of data and intelligence, summarized as: data-driven intelligence under extensive connectivity. With this principle, we have a clear direction for AI and platform development. The future value of Industrial Internet platforms will evolve from 'users making decisions' to 'helping users make decisions,' and ultimately to 'making decisions for users'!

| GETECH's Industrial Application Intelligent Platform

GETECH is an Industrial Internet platform empowering frontline production, designed for OT personnel. Leveraging TCL's 40 years of smart manufacturing strategy and extensive industrial scenarios, the platform has rapidly evolved into an Industrial Application Intelligent Platform.

Initially, we developed an IoT platform to aggregate data; then a Big Data platform for analysis; and now an APaaS (Industrial Application) Intelligent Platform to apply data value in production. This platform supports numerous practical applications. In the future, we will build more scenarios and development environments to advance the platform, enabling enterprises to quickly solve problems and realize value using data and networks.

| Case Study: Industrial Application Intelligent Platform

I’ll share a case of a lighthouse enterprise using the Industrial Internet to improve product quality, reduce equipment maintenance, and enhance personnel efficiency. The platform delivered multi-scenario solutions, generating over 30 million yuan in annual benefits. More importantly, it helped the enterprise navigate challenges like rapid technological changes, shifting customer demands, and intense global competition.

The client, a leading LCD panel manufacturer with strong IT and automation foundations, collaborated with GETECH on the following:

Building an IoT platform to connect more devices, integrate high-value collection equipment, use edge computing for comprehensive data acquisition, and gather more data via the Industrial Internet. Predictive maintenance models for industrial components reduced manual inspections by 80%.

We developed GeekMind (a factor mining and modeling tool for industrial big data analysis) in the client’s environment. It quickly identifies abnormal factors through independent and dependent variable analysis, forming the basis for many solutions. For example, the virtual metrology solution uses GeekMind to predict product quality on production lines, reducing the need for sampling if data falls within acceptable ranges. This application lowered inspection frequency, improved yield, and shortened production cycles by 0.61 days.

AI also excelled in AOI inspection scenarios. Replacing manual optical inspection with GeekMind’s AI system enabled rapid defect detection. Anomaly interception was advanced by 1-2 hours, and production cycles at inspection stations were reduced by 60%.

| How Will Future Industrial Application Intelligent Platforms Evolve?

From our practice, it’s essential to view this from the customer’s perspective and needs, addressing requirements in capacity, quality, cost, delivery, and compliance. Specifically, this means offering customized solutions with zero-code usability for those without technical expertise; an all-in-one platform supporting data processing, collection, management, analysis, visualization, and model training cycles; stable performance; reduced procurement and implementation costs with support for public/private cloud deployment; out-of-the-box SaaS platforms with customization; and ensured data and system security.

Future directions include SaaS deployment on public clouds, low-code exploratory development, rich features encompassing models, algorithms, BI, and AI, and robust security management.

The overarching direction for the Industrial Internet is data-driven intelligence under extensive connectivity. Adhering to this, we will achieve the value upgrade of Industrial Internet platforms from 'users making decisions' to 'helping users make decisions,' and ultimately 'making decisions for users'!

[Dr. Wang Jin]: Chief Smart Manufacturing Consultant, GETECH

GETECH is an Industrial Internet company incubated by TCL. TCL’s nearly 40 years of manufacturing history, diverse production models, and global facilities provide an ideal environment for Industrial Internet R&D and implementation.