Di Shan Technology's Intelligent Manufacturing Solution: Igniting a New Era of Industry with Intelligence, Empowering Manufacturing for a New Future

Overview

Amid the in-depth integration of a new round of technological revolution and industrial transformation, smart manufacturing is reshaping the global manufacturing landscape at an unprecedented pace, emerging as the core engine driving the high-quality development of industries. As a pioneer in the deep integration of artificial intelligence and industry, Shanghai Dishan Technology leverages its profound technological accumulations in AI algorithms, big data analytics, edge computing, and industrial Internet of Things (IIoT) to spare no effort in creating the Dishan Technology Smart Manufacturing Solution. Centered on "intelligent manufacturing", this solution deeply integrates cutting-edge technologies with production practices, aiming to build a full-chain intelligent system of "perception – decision-making – execution – optimization" for manufacturing enterprises. It drives the comprehensive transformation of traditional manufacturing into efficient, flexible, green, and intelligent future factories, opening a new chapter in industrial development.

 

Solution Positioning: Empowering Manufacturing with AI to Build "Thinking Factories"

Guided by the core philosophy of "data-driven, intelligent decision-making, flexible production, and lean operation", the Dishan Technology Smart Manufacturing Solution deeply integrates a new generation of information technologies such as artificial intelligence, 5G communication, digital twin, and edge computing. It constructs a smart factory architecture covering the entire lifecycle of R&D and design, production and manufacturing, quality inspection, equipment operation and maintenance, and supply chain management. By breaking down data silos, optimizing process collaboration, and enhancing intelligent analytics, the solution helps enterprises achieve leapfrog improvements in production efficiency, substantial reductions in operational costs, significant upgrades in product quality, and the transition to green and low-carbon sustainable development. Such a smart factory operates like a self-regulating and self-optimizing organism, equipped with the ability to "think" and "evolve". It can flexibly adjust production strategies in response to market demands, maintaining agile competitiveness in the dynamic market.

 

Core Architecture: Four-Layer Integrated Structure to Build a Smart Manufacturing Hub

The solution adopts a four-layer integrated architecture design, forming a complete closed loop from bottom-layer data collection to top-layer intelligent decision-making, thus serving as the "intelligent brain" of manufacturing enterprises.

1.  Perception Layer: Interconnection of All Things and Precise Data Collection

    High-precision sensors, industrial cameras, RFID tags, and smart terminals are deployed to collect real-time data, including equipment status (e.g., vibration, temperature, current), environmental parameters (temperature, humidity, energy consumption), and material flow information, with a precision reaching the micron level. It supports access to mainstream industrial protocols such as OPC UA, MQTT, and Modbus, and is seamlessly compatible with existing systems like PLC, DCS, and SCADA. This completely eliminates "information islands" and achieves the interconnection of all production elements.

2.  Platform Layer: Data Hub and Intelligent Engine

    - Industrial Big Data Platform: Adopting a distributed architecture, it supports real-time cleaning, storage, and multi-dimensional analysis of PB-level data. Combined with time-series databases and machine learning libraries, it mines the potential value of data.

    - AI Model Training and Inference Platform: Built-in automated machine learning toolchains support the rapid training, deployment, and iteration of models for defect detection, predictive maintenance, and process parameter optimization, lowering the threshold for algorithm development.

    - Digital Twin System: It constructs a virtual factory with digital-physical mapping, enabling real-time simulation of production processes, prediction of equipment service life, optimization of production scheduling, and assisting on-site operations and remote collaboration through augmented reality (AR) technology.

3.  Application Layer: Scenario Implementation and Value Closure

    - Intelligent Quality Inspection: The deep learning-based visual inspection system can identify micron-level defects such as surface scratches, cracks, and dimensional deviations, with an accuracy rate exceeding 99.5% and inspection efficiency improved by more than 5 times, greatly replacing manual visual inspection.

    - Predictive Maintenance: Through vibration spectrum analysis of equipment, temperature trend monitoring, and current characteristic modeling, potential failures can be warned 15–30 days in advance, reducing unplanned downtime by over 30% and extending equipment service life.

    - Intelligent Production Scheduling: Combining order priorities, material inventory, equipment capacity, and energy consumption costs, genetic algorithms are applied to achieve dynamic scheduling, improving resource utilization by 20% and shortening delivery cycles by 15%.

    - Process Optimization: Reinforcement learning algorithms are used to automatically explore the optimal parameter combinations (e.g., injection molding pressure, temperature curves, cutting speed), increasing yield rates to over 98% and reducing energy consumption by 10–15%.

4.  Execution Layer: Cloud-Edge Collaboration and Rapid Response

    Edge computing nodes are deployed on the production line side to achieve millisecond-level real-time control and data preprocessing, ensuring low latency and high security for critical business operations. It is deeply integrated with MES (Manufacturing Execution System), ERP (Enterprise Resource Planning), and WMS (Warehouse Management System) to form a closed loop of "decision-making – execution – feedback", ensuring the accurate implementation of instructions.

 

Typical Application Scenarios: Deep Industry Engagement and Distinct Value Projection

Against the backdrop of the global transformation and upgrading of the manufacturing industry, the demand for smart manufacturing in various sectors is becoming increasingly urgent. Dishan Technology's Smart Manufacturing Solution has been deeply applied in multiple industries, empowering enterprises to reduce costs, increase efficiency, and drive innovation and upgrading:

- New Energy Battery Manufacturing: With the rapid development of the new energy industry, requirements for battery performance and safety are continuously rising. In lithium battery production, Dishan Technology has realized online detection of electrode coating uniformity, automatic sorting of pole piece defects, and intelligent optimization of formation processes. This helps improve battery consistency to over 95% and reduce safety accident rates by 50%.

- High-End Equipment Manufacturing: The equipment manufacturing industry is moving towards high precision and high efficiency. For precision CNC machine tools, Dishan Technology has reduced the surface roughness of parts by 30% and cut the scrap rate from 2% to 0.5% through real-time monitoring of tool wear and dynamic optimization of machining paths.

- Automotive Component Production: With the intensification of competition in the automotive industry and the improvement of quality requirements, building a full-process quality traceability system has become particularly important. From raw material batches to assembly, Dishan Technology enables traceability of each part to production parameters, quality inspection records, and supplier information, reducing recall costs by 80%.

- Electronics Manufacturing (SMT Production Lines): Electronic products feature rapid iteration, requiring a high degree of automation in the production process. Through 100% automated detection of solder joint defects (e.g., cold solder joints, bridges) via AI visual inspection systems, combined with intelligent regulation of reflow oven temperature curves, Dishan Technology helps customers improve production efficiency by 25%.

- Biopharmaceutical Manufacturing: In sterile production lines, the integration of environmental microbial monitoring and equipment cleanliness prediction models ensures GMP compliance. Dishan Technology helps customers maintain a stable product batch qualification rate of 99.9%.

 

By combining industry trend backgrounds, the necessity and forward-looking nature of Dishan Technology's solution are highlighted, enhancing the persuasiveness and attractiveness of the text.

 

Core Advantages: Leading Technology and Value Empowerment

1.  AI-Native Design: AI capabilities are fully integrated into the solution from the underlying architecture to application modules. Unlike the simple superposition of traditional automation systems, it truly realizes "data-driven decision-making". For example, after adopting our AI-native design, a manufacturing enterprise reduced its product defect rate by 15% and improved production efficiency by 20%. Through real-time analysis of production data by AI algorithms, enterprises can quickly adjust production processes, reduce resource waste, and improve product quality.

2.  Modular Deployment: It provides "lego-style" module combinations, supporting flexible expansion from single production line pilots to full-factory deployment. This shortens the implementation cycle by 40% and significantly improves ROI (Return on Investment).

3.  Independent Controllability: Core algorithms, industrial software, and platforms are all independently developed, compatible with localized chips and operating systems (e.g., Huawei Kunpeng, Kylin), ensuring technological sovereignty and supply chain security.

4.  Green Intelligent Manufacturing: A built-in energy management module helps enterprises achieve carbon emission reduction goals through equipment no-load identification, off-peak production scheduling, and energy-saving optimization of process parameters. Some customers have achieved a 20% reduction in energy consumption per unit of output value.

5.  Ecological Collaboration: In-depth cooperation with ecological partners such as industrial robots, automation equipment, and industrial Internet platforms provides end-to-end solutions, avoiding fragmented integration.

 

Cooperation Models and Service Support: Full-Lifecycle Empowerment

1.  Intelligent Diagnosis and Planning: Based on the Industry 4.0 maturity assessment model, customized digital transformation blueprints are provided for enterprises, clarifying technical routes and investment priorities.

2.  Customized Development and Deployment: Tailored algorithm development, hardware adaptation, and system joint debugging services are offered according to production line characteristics, process difficulties, and pain points.

3.  Operation and Maintenance and Continuous Optimization: Dishan Technology has established a 24/7 remote monitoring center to ensure the stable operation of customer systems. We regularly update AI models to keep the system at the forefront of technology. In addition, on-site technical training is provided, covering data analysis, system operation, and troubleshooting, ensuring that customers can proficiently master system operations and improve internal operation and maintenance capabilities, thus guaranteeing the long-term stable operation of the system and the continuous release of value.

4.  Financial and Policy Support: Jointly with financial institutions, equipment leasing and installment payment plans are provided. We also assist enterprises in applying for smart manufacturing special funds and tax incentives.

 

Future Outlook: Boundless Intelligent Manufacturing and Co-Created Ecosystem

With the accelerated breakthroughs in technologies such as large AI models, industrial metaverse, and 6G communication, smart manufacturing will move towards higher-level "adaptive manufacturing" and "ecological collaborative manufacturing". Dishan Technology will continue to deepen its focus on AI+industrial scenarios and explore the following directions:

- Industrial Large Models: Develop multi-modal industrial AI large models to achieve cross-domain knowledge transfer and complex problem-solving.

- Digital-Physical Integrated Manufacturing: Expand the application boundaries of digital twins, build a "parallel factory" with digital-physical interaction, and drive the cost of innovation and trial-and-error to near zero.

- Global Smart Manufacturing Network: Build a trusted manufacturing ecosystem based on blockchain technology, promoting intelligent collaboration and resource sharing in cross-border supply chains.

 

We firmly believe that smart manufacturing is not only a technological iteration but also a paradigm shift in production methods, organizational models, and value creation. Dishan Technology is willing to join hands with manufacturing enterprises, scientific research institutions, and industry partners, taking technology as the link and innovation as the driving force, to jointly stride towards an industrial new era characterized by "efficiency, flexibility, greenness, and intelligence", and write a new chapter in China's leap from manufacturing to "intelligent manufacturing".

 

Choosing Dishan Technology's Smart Manufacturing Solution means choosing a certain path to future factories, letting the light of intelligent manufacturing illuminate the global industrial landscape!