Top 10 New Trends in Intelligent Manufacturing

The world's first "visual navigation" logistics robot that can charge for ten minutes and work for two hours, the leading home appliance base in China in terms of shipment volume, and the world's first highest generation line, the BOE 10.5 generation line... During our visits to some first tier manufacturing cities in China, such as Ningbo, Quanzhou, and Hefei, we clearly felt that the industry is undergoing rapid changes: industrial creativity is improving, policy guidance is more focused, and new and old driving forces are shifting.

The innovation vitality of the manufacturing industry is evident

In Ningbo, the first pilot demonstration city of "Made in China 2025" in China, the government has formulated 22 targeted support policies and measures for this purpose. From 2016 to 2018, the proportion of the added value of strategic emerging industries, high-tech industries, and equipment manufacturing industries to the total added value of the city's above designated industries increased by 9.3, 9.0, and 1.2 percentage points, respectively. The proportion of the added value of above designated industries to GDP increased from 44.1% to 46.1%.

Traditional industries are improving quality and efficiency, and the pace of transformation between new and old driving forces is accelerating.

In cities such as Quanzhou and Ningbo, both the traditional petrochemical industry and the textile and clothing industry have undergone significant changes. After the intelligent transformation of Quanzhou Huabao Footwear Company, employment has been reduced by more than 70% and production capacity has been increased by 1.25 times; Jiangsu Shengli Precision Company has completed the intelligent transformation of more than 20 production lines in the past three years, increasing efficiency and output by over 30%. Intelligence and digitization have rapidly empowered traditional industries.

New formats and models are rapidly emerging in many cities. The industrial Internet platform represented by Haier COSMO, Roots Interconnect and Aerospace Cloud Network has developed rapidly, and new driving forces such as industrial robots, unmanned aerial vehicles, information intelligent hardware and intelligent connected vehicles have developed rapidly. At the "Robot Intelligent Factory" in Xinsong, the production efficiency of enterprises has increased by 200%. This factory model can be replicated in just three months, effectively improving the production capacity of domestic high-end robots.

A group of small and medium-sized enterprises that have long focused on the production of key components and the research and development of basic materials have gradually grown into the industry's "specialized, refined, and distinctive" champion enterprises.

Ningbo Deying Precision Machinery Co., Ltd. provides spinning shuttles for over 90% of sewing machine manufacturers worldwide, accounting for 40% of global production. There are 36 enterprises in Ningbo that have the world's largest market share for their leading products, and 149 enterprises that have the country's largest market share for their leading products.

Policy guidance focuses more on strengthening the foundation and addressing weaknesses

在推进制造业发展中，部分企业家和专家总结出两条宝贵经验：一是要处理好政府与市场的关系，发挥集中力量办大事的体制优势；二是政策导向必须始终聚焦强基础和补短板两大关键点。

中国工程院院士周济说，我国实现制造业强国目标有两大优势，即能够集中力量办大事的制度优势和超大规模的市场优势。因此，要特别强调政府引导和市场机制相结合，充分发挥市场在资源配置中的决定性作用。

“政府引导要有力，市场在资源配置中又要发挥决定性作用，这个度的把握是成败的关键。”海天塑机董事长张静章说，从企业角度看，政府的基本原则应该是用市场化手段开展调控引导。他说，明显感觉到近年来宁波在政策引导中更加重视市场手段，如创新资金投入方式，更多使用后补助、贷款贴息和股权投资等方法，以市场化手段支持企业发展。

工业基础不牢、关键零部件等“卡脖子”问题突出是我国制造业发展面临的两大主要难题，因此政策导向须聚焦强基础和补短板两大关键点。实践证明，抓住这两大关键点就会产生效益。

以合肥家电制造业为例，过去虽然企业数量多、产量大，但基础薄弱、质量效益差。近年来，合肥从做强产业基础、做长家电产业链入手，形成了“龙头企业—大项目—产业链—制造基地—产业集群”的模式。家电制造不仅成为合肥首个千亿级产业，还带动液晶面板这一千亿级高新技术产业崛起，实现了传统产业和新技术产业的双提升。

宁波市发改委副主任鲍正操说，在坚持强基础、补短板两大政策导向时，一要有专注目标持续投入的韧性，二要有勇于挑战世界难题的雄心，三要有全球资源配置的眼光。服装纺织行业一直是宁波支柱产业之一，2008年金融危机后服装外贸出口困难。宁波坚持鼓励企业把老本行做精做专，通过技术革新、数字化应用等再造产业链，推动了服装纺织行业提档升级。

以工业服务为核心创造价值

智能制造是我国制造业发展的主要方向之一。赛迪（上海）先进制造业研究院的调研报告显示，当前我国智能制造进入增速回落的产业洗牌期，主要表现在工业机器人产业和数控机床行业产生下行趋势。尽管增速回落，但在政策支持下，智能制造领域的发展前景依然被业界看好，呈现十大新趋势：

需求导向、痛点聚焦将指引工业人工智能从理想走入现实。相较“锦上添花”的工业智能产品，“雪中送炭”的技术更容易被制造业企业接受。比如，基于机器视觉的表面质量检测可帮助企业提升产品质量，或用基于知识图谱的智能CAD来提高生产效率，采用这样的技术将是企业的优先发展方向。

工业大数据将成为智能制造和工业互联网发展的核心。赛迪（上海）先进制造业研究院执行院长董凯认为，工业核心数据、关键技术专利等数字化资产对企业的价值正在加速提升；降低数据安全隐患、提升系统安全和数据安全成为企业进行数字化改造升级时愈加看重的参考指标；保障厂区生产安全、过程安全迫在眉睫。

信息来源：半月谈

Editor He Yang of this website/Organizing