The transformation path of traditional machining and manufacturing industry empowered by AI intelligence and informatization
2025/04/02
In today's era of rapid technological development, artificial intelligence (AI) and information technology are profoundly changing various industries, including traditional machining and manufacturing. As a leader in the metal parts processing industry, Luxin Technology (Dongguan) Co., Ltd. is well aware of the significant importance of AI intelligence and informatization for the development of the industry, actively exploring its path to empower traditional machining and manufacturing industries, and making full preparations to meet challenges.
One、 Technology penetration: Creating a fully intelligent production system throughout the entire process
Luxin Technology will focus on introducing AI driven intelligent detection and optimization systems. If AI visual inspection technology is used to replace traditional manual quality inspection, millisecond level recognition of key indicators such as surface defects and dimensional accuracy of parts can be achieved, significantly improving the yield rate and reducing rework costs. At the same time, combined with edge computing and cloud computing technology, the company plans to build a real-time data acquisition and analysis platform, dynamically optimize production parameters (such as tool wear prediction, energy consumption management), and realize the full chain intelligence from order scheduling to equipment maintenance.
Application scenario example:
Intelligent machining center: CNC machine tools integrated with AI algorithms can automatically adjust cutting parameters based on material characteristics, reducing scrap rates;
Predictive maintenance: Predicting equipment failures through sensors and machine learning models to reduce downtime risks.
Two、 Data driven: Building an Industrial Big Data Empowerment Platform
In response to the problem of scattered and low utilization of traditional manufacturing data, Luxin Technology will establish a standardized data platform to integrate production, supply chain, and customer demand data, forming a reusable industry knowledge base. For example, by analyzing historical order data and market trends, AI models can assist in developing dynamic production plans and shortening delivery cycles. In addition, the company plans to jointly build an intelligent supply chain collaborative network with upstream and downstream enterprises, break down information silos, and achieve global optimization of raw material procurement, logistics scheduling, and inventory management.
Key measures:
Data cleaning and secure encryption: using blockchain technology to ensure data integrity and privacy protection, meeting industrial data compliance requirements;
Open API interface: Share non sensitive data with partners to promote collaborative innovation in the industry chain.
Three、 Talent and Organization: Cultivating Composite Teams and Reconstructing Human Machine Collaboration Models
Luxin Technology is well aware that technological transformation cannot be achieved without the initiative of "people". The company will implement a "dual track" talent development plan:
1. Technological Upgrade: Collaborate with universities and research institutions to cultivate engineers with skills in AI algorithms, Industrial Internet of Things (IIoT), and other related areas;
2. Skill reshaping: Enhance the digital operational capabilities of frontline employees through internal training, such as AI device interaction and data analysis fundamentals.
At the same time, promote the "human-machine collaboration" production mode, such as retaining human experience judgment in complex process links, while AI systems provide real-time decision-making assistance, achieving a balance between efficiency and flexibility.
Fuor、 Ecological layout: Participate in the formulation of industry standards and promote cross-border integration
Luxin Technology will actively participate in the construction of the intelligent manufacturing standard system and promote the development of AI application specifications in the field of metal processing, such as data interface standards, algorithm reliability verification processes, etc. In addition, the company plans to collaborate with research institutes to develop industry-specific models, such as a deep learning framework for predicting metal fatigue life, forming a differentiated technical barrier.
Future vision:
Cross border ecosystem: exploring collaborative innovation with industries such as new energy and developing high value-added customized components;
Green Intelligent Manufacturing: Optimizing energy consumption and material utilization through AI to achieve carbon neutrality goals.
conclusion
Faced with the opportunities and challenges brought by AI and informatization, Luxin Technology is committed to becoming a benchmark for the intelligent transformation of the metal processing industry with a strategic framework of "technology as the bone, data as the pulse, talent as the soul, and ecology as the wing". In the future, the company will continue to deeply cultivate the landing scenarios of AI technology, promote the transition of traditional manufacturing from "experience driven" to "data-driven", and inject new momentum into China's intelligent manufacturing.
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