In today's rapidly evolving landscape of digital transformation and smart manufacturing, enterprises are highly focused on optimizing production processes, reducing bottlenecks, monitoring production progress in real-time, and enhancing decision-making and production efficiency.

The T-MES system developed by TIANS Group is a Manufacturing Execution System that "understands processes." Building upon traditional MES systems, it can flexibly configure process flows according to the client's production scenarios, 100% replicate the client's production batch records, enable wireless weighing—offering convenience while reducing hardware investment—and is compatible with various operational terminals. This allows for more compliant, efficient, and flexible definition and adjustment of production methods, achieving comprehensive management of "Man, Machine, Material, Method, and Environment," and genuinely assisting enterprises in realizing smart manufacturing.

With the rise of emerging technologies like artificial intelligence, big data, and the Internet of Things, the TIANS T-MES system has been upgraded once again by integrating the DeepSeek-R1 large language model. Through deep integration with big data models and a customized platform that leverages local knowledge base resources, it achieves efficient information consolidation, facilitating a remarkable transformation in the experience of information-based products.

T-MES Integrates DeepSeek, Elevating User Experience

Principle Explanation:

1. The user submits an independent query through the system.

2. The T-MES server processes and vectorizes the user's query.

3. The vectorized query is sent to the vector database for retrieval.

4. Using vector search technology, the vector database finds the Top N most relevant texts from the local knowledge base.

5. The retrieved relevant knowledge base content and the original query are fed via API into the locally deployed DeepSeek-R1 model.

6. The locally deployed system performs real-time inference, integrating the independent query with the relevant knowledge to generate the final answer.

7. The final answer is returned to the user in real-time through the inference process.
   T-MES itself features a flexible scripting engine, requiring no secondary development, and synchronizes MES operational data to the vector database for storage in real-time.

T-MES + DeepSeek, Achieving 1+1>2 Synergy

① Further Enhancement of Enterprise Production Efficiency
DeepSeek utilizes deep learning algorithms and operations research models to analyze production data from the T-MES system in real-time while monitoring production changes, significantly boosting production efficiency and equipment utilization.

② Significant Improvement in Software Usability
For operators new to the system, DeepSeek allows them to ask questions and interact with the industrial system using natural language. Operators can query equipment status, obtain production reports, and even issue instructions directly, greatly enhancing the efficiency of information retrieval and command issuance.

③ Scientific Production Scheduling
By combining real-time raw material inventory data with formula requirements, DeepSeek can quickly determine material shortages, including factors like equipment status that may affect production scheduling.

④ Empowering Quality Analysis
While the T-MES system itself collects data, DeepSeek's powerful analytical capabilities now enable in-depth analysis of historical data to identify key factors affecting quality. For example, it can reveal the impact of different shifts, equipment, and raw materials on production quality, thereby helping management formulate more effective quality management strategies.

⑤ Accelerating Data Integration and Collaboration
After integration, DeepSeek enables millisecond-level data acquisition. Furthermore, with the aid of heterogeneous system integration drivers, DeepSeek can quickly interface with information systems like MES, ERP, and OA. Subsequently, TIANS will also connect Energy Management Systems (EMS) and DCS systems to DeepSeek, consolidating all data for unified access and utilization.

⑥ Localized Deployment for Enhanced Security and Assurance
All model inference and training are completed within the enterprise's internal network, ensuring data never leaves the factory premises. This deployment method eliminates the risk of data leakage, reduces network latency, and improves response speed.

Accelerating Industrial Transformation, Where High Quality Meets High Efficiency

While deepening its expertise in industry processes, the TIANS Automation and Informatization team continuously builds its core advantages in intelligence and informatization. It has developed multiple digital and information software solutions for industrial enterprises, including a Data Visualization Platform, Energy Management Platform, and Factory Digital Management Platform, successfully applied in numerous leading companies across chemical pharmaceuticals, synthetic biology, fine chemicals, and other cutting-edge fields.

This integration of DeepSeek into the T-MES system is not an endpoint but rather the starting point for product intelligence. In the future, the TIANS informatization team will continue to deeply explore technological potential, break through homogeneity challenges, help enterprises capture the market with "speed," win trust with "quality," and realize a green and intelligent future through digital technology.