Di Shan Technology's Intelligent Manufacturing Application: Casting the Soul of Manufacturing with the Core of Intelligence

Overview

The applications of Dishan Technology in the field of intelligent manufacturing are extensive and in-depth. For example, in the automotive manufacturing industry, by introducing advanced robotic automation systems, Dishan Technology has achieved efficient and precise component production, significantly improving production efficiency and product quality. In the electronics manufacturing sector, leveraging big data analytics and the Internet of Things (IoT) technology, Dishan Technology conducts real-time monitoring and optimization of the production process, effectively reducing production costs and shortening production cycles. Additionally, Dishan Technology actively explores the application of artificial intelligence (AI) in quality inspection. Through its intelligent vision system, it can quickly and accurately identify product defects, further ensuring product quality. The application of these innovative technologies not only demonstrates Dishan Technology's strong strength in intelligent manufacturing but also provides valuable experience and reference for the transformation and upgrading of traditional manufacturing industries.

 

Amid the wave of in-depth integration of the new round of technological revolution and industrial transformation, intelligent manufacturing has become the core driving force for the transformation and upgrading of the global manufacturing industry and a key engine for promoting high-quality industrial development. As an innovative pioneer in China's artificial intelligence and high-end computing power sectors, Dishan Technology is driven by the dual wheels of "technological breakthrough + scenario implementation". It deeply cultivates the underlying technologies of intelligent manufacturing, builds full-stack solutions, collaborates with world-leading enterprises to co-construct an innovation ecosystem, and promotes intelligent manufacturing from "proof of concept" to "large-scale application". Especially against the backdrop of deepening strategic cooperation with Germany's AragF Technology and jointly building a joint laboratory, Dishan Technology is empowering the entire manufacturing chain with cutting-edge technologies, reshaping the global intelligent manufacturing landscape with "Chinese wisdom", and writing a new chapter in industrial transformation.

 

 Consolidating the Computing Power Base and Building a "New Engine" for Intelligent Manufacturing

The essence of intelligent manufacturing is a systematic transformation driven by data, and computing power is the "digital cornerstone" supporting this transformation. Currently, with the explosive growth in demand for large model training, AI inference, and industrial-grade data analysis, high-end GPUs have become the core carrier of AI computing power. Faced with global computing power competition and supply chain challenges, Dishan Technology has made forward-looking arrangements, joined hands with AragF Technology, and co-established a core R&D strategic base—the Dishan-AragF Joint Laboratory. The laboratory focuses on key areas such as high-performance computing architecture, AI chip design, and computing cluster optimization, and fills the gap in domestic high-end computing power through breakthrough innovations.

 

Core Technology Research and Development

Relying on the technological advantages of both parties, the laboratory focuses on developing the *Dishan series of high-performance GPU chips*. These chips adopt advanced process technologies (such as 7nm and below nodes) and heterogeneous computing architectures. Through innovative design, they achieve a 40% increase in computing density and a 30% optimization in energy efficiency ratio. Built with dedicated AI acceleration cores, the chips support mixed-precision computing of FP16/FP32, meeting the extreme computing power demands of intelligent manufacturing, autonomous driving, biomedicine, and other fields. The team has overcome the chip thermal management challenge by adopting microchannel liquid cooling technology combined with graphene heat dissipation materials, reducing the chip junction temperature by 15°C. Meanwhile, it has broken through large-scale parallel computing scheduling algorithms, and through a dynamic load balancing mechanism, the overall utilization rate of computing clusters has been increased to over 95%, ensuring the stability and reliability of the system under high-load scenarios.

 

Construction of a Localized Ecosystem

To break foreign technological monopolies, the Dishan Technology Joint Laboratory is building a full-stack localized computing power ecosystem covering chip design, compiler development, and application adaptation. It supports seamless integration with mainstream industrial software and algorithm frameworks, and provides a one-click model deployment toolchain. The platform is equipped with a localized operating system and a security protection module, ensuring data sovereignty through national cryptographic algorithms, and providing an independently controllable "digital base" for intelligent manufacturing. This platform has been deployed on a large scale in scenarios such as new energy vehicle battery production lines, precision electronic assembly workshops, and semiconductor wafer manufacturing, helping enterprises get rid of computing power dependence and enhance the resilience of the industrial chain.

 

 Empowering the Entire Production Process and Achieving "Full-Chain Intelligent Control" of Manufacturing Processes

Based on its self-developed AI algorithm library and edge intelligence platform, Dishan Technology deeply embeds intelligent technologies into the entire manufacturing process, reconstructs traditional production models, and drives factories to transform towards "intelligence, flexibility, and greenness".

 

Intelligent Production Scheduling

It has developed the "Intelligent Control Cloud Brain" scheduling system, which integrates machine learning algorithms and real-time data collection technology to build a multi-objective optimization model that can dynamically balance equipment load, material supply, and order demand. The system has a built-in adaptive scheduling engine that can real-time rearrange plans according to production anomalies (such as equipment failures and emergency order insertions) and verify adjustment schemes through digital twin simulation. In electronic factories, this system has shortened the production line changeover time from 2 hours to 1 hour, increased the Overall Equipment Effectiveness (OEE) to 92%, significantly enhanced the ability to handle multi-variety and small-batch orders, and shortened the customer delivery cycle by 30%.

 

Intelligent Quality Inspection

It has launched the "Eagle Eye" AI visual inspection system, which integrates ultra-high-resolution imaging technology (with a resolution of up to 5μm), deep learning algorithms, and robotic arm linkage control to achieve micron-level defect detection. The system supports online learning and incremental training, enabling automatic identification of new types of defects and updating of detection models. In the semiconductor packaging process, this system can real-time identify subtle defects such as cracks, stains, and metal residues on the wafer surface, with a detection speed of 1,200 wafers per second and a false positive rate of less than 0.05%, far exceeding the efficiency of manual inspection. In addition, in the food packaging industry, the Eagle Eye system uses hyperspectral imaging technology to detect the sealing performance of dairy product packaging, identifying potential hazards such as poor sealing and damage to ensure food safety.

 

Predictive Maintenance

It has built the **"Equipment Health Cloud" platform**, which integrates multi-source data such as vibration analysis, temperature monitoring, and oil liquid detection to establish a physics-based model for predicting equipment service life. The platform adopts transfer learning technology, enabling accurate prediction with only a small amount of historical data, and supports remote diagnosis and intelligent dispatching. At a heavy industry base in Northwest China, this platform successfully predicted the fatigue life of a steel rolling mill bearing, issued an early warning 14 days in advance, avoiding a downtime accident worth tens of millions of yuan, reducing equipment maintenance costs by 35%, and cutting unplanned downtime by 70%. In addition, the platform also provides AR-assisted maintenance functions, guiding on-site personnel to quickly locate fault points through 3D visualization, and shortening maintenance time by 50%.

 

Intelligent Logistics Collaboration

It has created the "Smart Flow" logistics management system, which integrates AGV robots, intelligent automated warehouses, UAV inspections, and digital twin technology to achieve "zero-waiting" material flow. The system optimizes handling routes through AI path planning algorithms, and combines IoT to real-time perceive cargo status, ensuring transparent and controllable logistics processes. For example, in an auto parts factory, the Smart Flow solution has increased warehouse space utilization by 65%, improved logistics efficiency by 45%, and enabled unmanned night operations, helping build a "lights-out factory". In addition, in the pharmaceutical industry, the system ensures the full-process compliant transportation of temperature-controlled drugs such as vaccines through cold chain monitoring and blockchain traceability technology.

 

Scenario Deepening

In view of the different characteristics of discrete manufacturing and process manufacturing, Dishan Technology has developed "industry-customized intelligent suites" covering food processing, textile and apparel, aerospace, and other fields, meeting personalized needs through modular deployment. For example, in the textile industry, the AI system can real-time analyze fabric texture defects, and combined with laser cutting equipment, achieve automatic avoidance of defective areas, improving quality inspection efficiency by 5 times and material utilization rate by 12%. In the field of aero-engine manufacturing, AI-assisted precision machining reduces the blade surface roughness to Ra0.2μm, reaching the international advanced level.

 

 Building an Open Ecosystem and Promoting the Deep Integration of "Technology + Scenarios"

The success of intelligent manufacturing relies not only on technological innovation but also on building an open and collaborative industrial ecosystem. Adhering to the concept of "open-source technology and shared capabilities", Dishan Technology accelerates technology diffusion and scenario implementation.

 

Industry-University-Research Collaborative Innovation

It has established joint research centers with national key laboratories, focusing on cutting-edge fields such as industrial AI, edge computing, and digital twins. It has incubated more than 20 innovation projects, promoting the transformation of basic research results into industrial applications.

 

 Looking to the Future: Building a Global Innovation Hub for Intelligent Manufacturing

Facing the future, with the strategy of "global vision + localized implementation", Dishan Technology will continuously deepen technological layout and industrial collaboration, striving to become a global leader in intelligent manufacturing technology.

 

Technology Blueprint

It plans to build the joint laboratory into a global innovation hub for GPU technology within five years, tackling "bottleneck" technologies such as next-generation AI chip design (e.g., 2nm process), compute-in-memory architecture, and photonic computing, and promoting a "quantum leap" in computing power performance. Meanwhile, it will lay out forward-looking research on the integration of quantum computing and AI, develop quantum machine learning algorithms, and explore applications in material simulation and complex optimization problems. It will build an "industrial metaverse" platform, realize full-life-cycle digital twins through virtual-real integration technology, and help comprehensively innovate product design, manufacturing, and operation and maintenance.

 

Industrial Expansion

It will deepen the "technology introduction—joint innovation—local mass production" model, promoting the deep integration of more international advanced technologies with Chinese manufacturing scenarios. It will focus on expanding emerging markets along the "Belt and Road", building regional intelligent factory solution centers in Southeast Asia (such as Thailand and Malaysia) and the Middle East (such as Saudi Arabia and the United Arab Emirates), and providing localized technology adaptation and talent training services. For example, in an auto parts industrial park in Thailand, the company has jointly built an intelligent casting demonstration line with local partners. Through AI-optimized smelting processes, energy consumption has been reduced by 20% and product qualification rate has been increased to 98%. At the same time, it will actively participate in the EU's "Industry 4.0" cooperation projects, promoting the mutual recognition of China-EU technical standards and joint innovation.

 

Green Intelligent Manufacturing

It will practice the concept of sustainable development, develop "low-carbon intelligent manufacturing" solutions, and help manufacturing enterprises achieve the "dual carbon" goals through AI-optimized energy management (such as air compressor group control and photovoltaic energy storage scheduling), waste recycling (such as metal powder recycling), and green design of process parameters. For example, the energy consumption prediction system developed for a steel enterprise can accurately predict blast furnace gas output through machine learning models, optimize power generation scheduling, and reduce carbon emissions per ton of steel by 15%. In the chemical industry, AI technology helps achieve precise catalyst feeding, reducing by-product emissions by 30%. The company has also launched a "carbon footprint tracking platform" to help enterprises build a full supply chain carbon emission map and support ESG management.

 

Social Responsibility

It will promote the popularization of intelligent manufacturing, develop lightweight intelligent suites, adopt an edge computing + cloud-edge collaboration architecture, and lower the transformation threshold for small and medium-sized enterprises. The suites include low-cost AI cameras, lightweight algorithm packages, and SaaS services, supporting plug-and-play. Meanwhile, it will establish an intelligent manufacturing talent training system, cooperate with vocational colleges to set up "AI + Manufacturing" majors, and develop virtual simulation training platforms.

 

 The Core of Intelligence, The Future of Manufacturing

Intelligent manufacturing is a profound transformation that reconstructs the industrial pattern, and its core lies in activating manufacturing potential with intelligent technologies and driving continuous evolution with an innovative ecosystem. With computing power as the foundation, algorithms as the soul, and the ecosystem as the wings, Dishan Technology is transforming the vision of intelligent manufacturing into accessible industrial practices. From chip design to factory workshops, from industry standards to global collaboration, Dishan Technology is empowering global manufacturing with Chinese technology, writing a "Chinese solution" for the new era in the vast ocean of intelligent manufacturing. In the future, with continuous technological breakthroughs and the continuous improvement of the ecosystem, intelligent manufacturing will surely reshape the production paradigm, lead humanity into a more efficient, greener, and smarter new era of manufacturing, and inject new momentum of Chinese wisdom into the global industrial civilization.