浙江省与江苏省智能工厂梯度培育经验及对广东省的启示

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本文引用格式：，，，等.浙江省与江苏省智能工厂梯度培育经验及对广东省的启示[J].自动化与信息工程， 2025，46（5）：16-23. CAO Jianjun， WUBiyu，LIJiayi， et al. Gradientcultivation experiences of smart factories in Zhejiang and Jiangsu provinces andtheirimplicationsforGuangdong province[J].Automation&InformationEngineering，2025，46（5）：16-23.

关键词：智能工厂梯度培育；智能制造；数字化转型；智能化升级中图分类号：F424.3 文献标志码：A 文章编号：1674-2605（2025）05-0002-08DOI： 10.12475/aie.20250502 开放获取

Gradient Cultivation Experiences of Smart Factories in Zhejiang and Jiangsu Provinces and Their Implications for Guangdong Province

CAO Jianjun1WU Biyu² LI Jiayi1CAO Yongjun1HUANG Xing1 LIAO Chunlan1 （1.Institute of Intelligent Manufacturing， Guangdong Academy of Sciences/ Guangdong Key Laboratory of Modern Control Technology， Guangzhou 510070， China 2.Guangzhou Robustel Co.， Ltd.， Guangzhou 511356， China）

Abstract： Against thebackdropofincreasinglyfierce globalmanufacturingcompetition，China's manufacturingsectorisfacing dual challenges ofrisinglaborcostsandseveretchologicalbariers.Smartmanufacturinghasbecomeaciticalpathtobridgethe eficiencygap.hroughtheimplementationofgradientcultivationinitiativesforsmartfactories，ZhejangandJiangsuprovicehave exploreddistictdevelopmentpathwaysforsmartmanufacturing.ZhejiangProvince，ledbyits"utureFactories，"hasestablisheda tieredcultivationpathcomprisingdigital workshops，smartfactories，ndfuturefactories，therebyehancingproductionefciency. JiangsuProvincehas promotedthe developmentofasmart manufacturingecosystembyestablishing standardorganizations，releasing regional developmentindexreports，compilingidustryimplementationgudelines，andbuildingacomprehensivepublicitymatrix. The practicalexperiencesofbothprovinces demonstratethatapolicymixofmandatoryandincentive measures，theconstructionof digitalplatforms，andcross-regionalcollborativeinnovationarethecoredriving forcesfortein-depthdevelopmentofsart manufacturing.These experiences provide a practical model featuring layered advancementand ecosystem empowerment for the transformationandupgradingofChina's manufacturing industry.Troughanin-depthanalysisofthegradientcultivatioexperieces ofsmartfactoriesinZhejangandJiangsuprovinces，thispaperproposesimplicationsandrecommendationsforGuangdongProvince， aiming to provide references for the intelligent transformation of its manufacturing sector.

Keywords： smart factory gradient cultivation; smart manufacturing; digital transformation; inteligent upgrade

0 引言

在全球经济格局深刻变革的背景下，中国制造业正面临着前所未有的挑战，如劳动力成本持续攀升，2000-2015 年间，纺织业的劳动力成本年均增长率高达 13.78%[1] ；订单交付周期缩短了 40%[2] ，导致传统制造业企业陷入了高能耗、低产出的困境。（剩余11206字）