Recently, Longi's production bases in Wuhu and Jiaxing have officially passed the National Intelligent Manufacturing Capability Maturity (CMMM) Level 4 certification. This is the first time that a factory in the domestic photovoltaic module manufacturing field has reached this level.
What does CMMM Level 4 mean? According to the national standard of "Intelligent Manufacturing Capability Maturity Model", Level 4 represents the "optimization level" - enterprises can achieve accurate prediction, dynamic optimization, and autonomous decision-making of key elements in the manufacturing process. At present, no domestic enterprise has reached the highest level of level five, and level four is already the highest level actually achieved. There are only over a hundred enterprises nationwide that have passed the Level 4 certification.
What kind of underlying capabilities does a component factory need to have in order to touch this line?
近日，隆基芜湖、嘉兴生产基地正式通过国家智能制造能力成熟度（CMMM）四级认证。这是国内光伏组件制造领域首次有工厂达到该级别。
CMMM四级意味着什么？按照《智能制造能力成熟度模型》国家标准，四级代表“优化级”——企业能够对制造过程中的关键要素实现精准预测、动态优化和自主决策。目前，国内尚无企业达到最高的五级，四级已是当前实际达到的最高水平。全国通过四级认证的企业仅百余家。
一座组件工厂，究竟需要具备什么样的底层能力，才能摸到这条线？
Transforming 'experience driven' into 'data-driven'
The component manufacturing chain is long and involves multiple processes. Variables such as welding temperature, lamination time, adhesive film characteristics, and environmental temperature and humidity affect each other. Any small drift in any link may be amplified at the finished product end. The traditional approach relies on engineers' experience and post inspection, while the path at the Wuhu base is different - allowing data to take effect before making decisions.
The base has established a real-time data collection and monitoring system covering the entire process, with process parameters, equipment status, and quality inspection results included in a unified platform. The system conducts process capability analysis and trend prediction on key quality characteristics. When a parameter shows an abnormal tendency but has not yet triggered an alarm, intervention can be prompted.
把“经验驱动”变成“数据驱动”
组件制造链条长、工序多，焊接温度、层压时间、胶膜特性、环境温湿度等变量相互影响，任何一个环节的微小漂移，都可能在成品端被放大。传统做法依赖工程师经验和事后抽检，芜湖基地的路径不同——让数据在决策之前发生作用。
基地构建了覆盖全工序的实时数据采集与监控体系，工艺参数、设备状态、质检结果被纳入统一平台。系统对关键质量特性进行过程能力分析和趋势预判，当某个参数出现异常倾向但尚未触发报警时，已经可以提示干预。
The focus of quality control has shifted from post remediation to pre prevention.
Transforming 'personal skills' into' organizational abilities'
In photovoltaic manufacturing, the skills and experience of excellent senior employees often depend on individuals. The approach of Longi Wuhu production base is to digitize and software these implicit experiences.
质量管控的重心，从事后补救前移到了事前预防。
把“个人技能”沉淀为“组织能力”
光伏制造中，优秀老员工的技能与经验往往依附于个人。隆基芜湖生产基地的做法，是把这些隐性经验数字化、软件化。
The base has deployed AI tutoring systems in key processes such as serial repair, providing real-time guidance on standardized operations and enabling new personnel to quickly reach proficiency levels; Simultaneously conducting online synchronous testing to ensure that every product entering the next process is qualified. Each employee has a digital growth profile, with real-time tracking of skills and performance. The AI knowledge base spanning 9 major fields gathers dispersed experiences into collective intelligence that organizations can call upon.
This means that regardless of who produces and at which time, the standard for delivery quality is stable.
Push 'automation' towards' intelligent collaboration '
基地在串返修等关键工序部署了AI辅导系统，实时指导标准化操作，让新人快速达到熟练水平；同时在线同步检测，确保流入下一道工序的每一件产品都合格。每位员工建有数字化成长档案，技能与绩效实时追踪。跨9大领域的AI知识库将分散经验汇集为组织可调用的集体智慧。
这意味着，无论谁来生产、在哪个时间段生产，交付品质的标准是稳定的。
把“自动化”推向“智能化协同”
Automation replaces physical exertion, while intelligence replaces judgment. The Wuhu base has introduced intelligent algorithms in production scheduling, equipment, processes, logistics, and other aspects to enable the system to have self-regulation capabilities.
Production scheduling dynamically generates optimization solutions based on dozens of constraints such as order priority, equipment status, and material completeness, resulting in a 60% increase in dispatch efficiency. Device management covers 208 operating models and nearly 650000 device attributes, shifting from regular maintenance to predictive maintenance, with faults identified before they occur. The process parameters are automatically matched and fine tuned by the system, and the switching between different products does not require manual intervention. By upgrading the equipment and processes of the four core sections of screen printing, welding, typesetting, and repair, production efficiency has increased by 21%, and peak season delivery has become more relaxed. The warehousing process realizes automatic material calling by machines and automatic AGV distribution, and the entire material flow is visible.
These applications are scattered across different stages and aim towards the same goal: to enable data, algorithms, processes, equipment, and personnel to form a cohesive whole, rather than a single point of illumination.
自动化替代的是体力，智能化替代的是判断。芜湖基地在排产、设备、工艺、物流等环节引入智能算法，让系统具备自我调节能力。
生产排程根据订单优先级、设备状态、物料齐套性等数十项约束条件，动态生成优化方案，派工效率提升60%。设备管理覆盖208类运行模型、近65万个设备属性，从定期维护转向预测性维护，故障在发生前被识别。工艺参数由系统自动匹配与微调，不同产品间的切换无需人工干预。通过对丝印、焊接、排版、返修四大核心工段的设备与工艺双重升级，生产效率提升21%，旺季交付更从容。仓储环节实现机台自动叫料、AGV自动配送，物料流转全程可视。
这些应用分散在不同环节，指向同一个目标：让数据、算法、工艺、设备、人员形成整体协同，而非单点亮点。
Upgrade 'inspection quality' to 'manufacturing quality'
In traditional logic, quality relies on end-to-end interception. The logic of the Wuhu base is that quality is "made".
Taking the serial welding process as an example, the accuracy of identifying the offset of the welding strip is directly related to the reliability of the component. The online detection system of the base completes recognition under high-speed production rhythm, and the judgment results are immediately fed back to the front-end process, triggering parameter adaptive adjustment. The full chain AI quality inspection platform has increased defect detection efficiency by 80% and reduced the overall quality problem occurrence rate by 40%.
把“检验质量”升级为“制造质量”
传统逻辑中，质量靠末端拦截。芜湖基地的逻辑是：质量是“造”出来的。
以串焊环节为例，焊带偏移的识别精度直接关系组件可靠性。基地的在线检测系统在高速生产节拍下完成识别，判定结果即时反馈至前端工序，触发参数自适应调整。全链路AI质检平台使缺陷检测效率提升80%，整线质量问题发生率下降40%。
The closed-loop of "detection feedback optimization" embeds quality management within the manufacturing system itself, rather than relying on post correction. This is precisely the dimension that is highly valued in the CMMM Level 4 assessment.
After authentication, continue moving forward
Passing the National Intelligent Manufacturing Maturity Level 4 certification is a milestone for the Wuhu base, not the endpoint.
“检测—反馈—优化”的闭环，让质量管理内嵌于制造系统本身，而不是依附于事后纠偏。这正是CMMM四级评估中极为看重的维度。
认证之后，继续向前
通过国家智能制造成熟度四级认证，对芜湖基地而言是一个节点，不是终点。
The more practical significance is that the photovoltaic industry is shifting from scale competition to efficiency and quality competition. As the dividends of capacity expansion gradually fade, the level of refinement in manufacturing capabilities will become a key variable determining a company's competitive position.
The certification of Wuhu Base not only verifies the level of a factory, but also a replicable intelligent manufacturing paradigm.
This road has no endpoint, and intelligent manufacturing and reliable quality also have no endpoint.
更现实的意义在于，光伏行业正在从规模竞争转向效率与质量竞争。当产能扩张的红利逐步消退，制造能力的精细化水平将成为决定企业竞争位势的关键变量。
芜湖基地此次认证所验证的，不只是一座工厂的水平，更是一套可复制的智造范式。
这条路没有终点，智能制造和可靠品质同样没有终点。
(Using AI translation)
（使用AI翻译）
