[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"$f80Tu86cPhYVUGuU6cZ8E5Pu0ndmVmwIEkWyFosaOFas":3},{"code":4,"msg":5,"data":6},200,"操作成功",{"id":7,"title":8,"content":9,"digest":10,"source":10,"coverPath":11,"thumbsCoverPath":12,"isTop":13,"isShow":14,"baseClick":13,"clickCount":15,"createTime":16,"typeId":17,"isNewest":18,"newsInfoTypeRespVo":19,"voiceUrl":22,"voiceSize":23,"taskId":24,"releaseTime":25,"titleEn":26,"contentEn":27,"voiceUrlEn":28,"taskIdEn":29,"voiceSizeEn":30},1203,"三年内我国将建成200+卓越级智能工厂","\u003Cp class=\"ql-align-justify\">\u003Cstrong class=\"ql-lineHeight-1-75\" style=\"font-size: 18px; color: rgb(255, 153, 0);\">记者5日从工业和信息化部获悉，工业和信息化部、人力资源社会保障部、住房城乡建设部等八部门近日联合印发《机械工业数字化转型实施方案（2025—2030年）》（以下简称《方案》），推动行业数字化转型智能化升级。\u003C\u002Fstrong>\u003C\u002Fp>\u003Cp class=\"ql-align-justify\">\u003Cbr>\u003C\u002Fp>\u003Cp class=\"ql-align-justify\">\u003Cspan style=\"font-size: 18px;\" class=\"ql-lineHeight-1-75\">工业和信息化部有关负责人表示，当前，以新一代人工智能为代表的数智技术迅猛发展、实体经济与数字经济加速融合，机械工业数智化转型需向更大范围拓展、更深程度渗透、更高层次演进。与此同时，机械工业细分行业门类众多，行业之间在规模体量、生产组织方式、数字化转型发展阶段等方面存在较大差异，亟须通过制定《方案》，从机械工业自身数字化转型和支撑其他行业数字化转型两方面发力，多措并举，加快推动机械工业数字化转型智能化升级步伐。\u003C\u002Fspan>\u003C\u002Fp>\u003Cp class=\"ql-align-justify\">\u003Cbr>\u003C\u002Fp>\u003Cp class=\"ql-align-justify\">\u003Cstrong class=\"ql-lineHeight-1-75\" style=\"font-size: 18px;\">《方案》提出，到2027年，数智技术在产品研发设计、生产制造、经营管理、运维服务等环节广泛应用，智能制造能力成熟度二级及以上企业占比达50%，建成不少于200家卓越级智能工厂，培育一批既懂行业又懂数字化的系统解决方案供应商，形成不少于200个优秀场景化解决方案，服务能力显著增强。到2030年，机械工业规上企业基本完成一轮数字化改造，智能制造能力成熟度二级及以上企业占比达60%，建成不少于500家卓越级智能工厂，基本形成系统完备、安全可控的产品及服务供给体系，行业数字化智能化水平大幅提升。\u003C\u002Fstrong>\u003C\u002Fp>\u003Cp class=\"ql-align-justify\">\u003Cbr>\u003C\u002Fp>\u003Cp class=\"ql-align-justify\">\u003Cspan style=\"font-size: 18px;\" class=\"ql-lineHeight-1-75\">《方案》从机械工业自身数字化转型和赋能其他行业数字化转型两个方面，围绕智能装备、智能制造和智慧服务“三大领域”，实施“四大行动”，提出12项重点任务，以智能制造为主攻方向，以装备技术与新一代信息技术深度融合为主线，以产品智能化、生产数智化、服务智慧化为抓手，聚焦企业发展和产业转型升级需求，坚持创新发展、安全可控，坚持场景牵引、问题导向，研制一批智能装备、建设一批智能工厂、拓展一批智慧服务，推动机械工业高端化、智能化、绿色化发展，为推进新型工业化提供坚实的技术装备保障。\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(187, 187, 187);\">【新闻来源】科技日报 记者崔爽 \u003C\u002Fspan>\u003Ca href=\"https:\u002F\u002Fwww.news.cn\u002Ftech\u002F20250807\u002F9f43cc83e6a84d7b9a57932d7fb22acd\u002Fc.html\" rel=\"noopener noreferrer\" target=\"_blank\" style=\"color: rgb(187, 187, 187);\">https:\u002F\u002Fwww.news.cn\u002Ftech\u002F20250807\u002F9f43cc83e6a84d7b9a57932d7fb22acd\u002Fc.html\u003C\u002Fa>\u003C\u002Fp>\u003Cp class=\"ql-align-justify\">\u003Cspan style=\"color: rgb(187, 187, 187);\">（本网转发此文章，旨在为读者提供更多的信息资讯，所涉内容不构成投资、消费建议。文章事实如有疑问，请与有关方核实，文章观点非本网观点，仅供读者参考。）\u003C\u002Fspan>\u003C\u002Fp>","","https:\u002F\u002Fimage.51xinwei.com\u002F2025\u002F08\u002Fa48e1aab693f4268ad2fa06eacf5796f\u002FAI领域.jpg","https:\u002F\u002Fimage.51xinwei.com\u002F2025\u002F08\u002Fthumbs\u002Fa48e1aab693f4268ad2fa06eacf5796f\u002FAI领域.jpg",0,1,233,"2025-08-08 18:13",2,false,{"id":17,"name":20,"enName":21},"芯位视野","Xinwei Vision","https:\u002F\u002Fxinwei-dev-test.oss-cn-shenzhen.aliyuncs.com\u002Fintelligent\u002Faudio%3A9bb7158a-aa55-462b-bd1d-5857153b39f3%3A0.wav?Expires=1754652776&OSSAccessKeyId=LTAI5tNvY2RkKjZw4LLWsrPK&Signature=3VZcxffh2oDuExFk1IPdMKHpQLY%3D",4539304,"9bb7158a-aa55-462b-bd1d-5857153b39f3","2025-08-08 17:49","Within three years, China will build more than 200 world-class intelligent factories","\u003Cp class=\"ql-align-justify\">\u003Cstrong class=\"ql-lineHeight-1-75\" style=\"font-size: 18px; color: rgb(255, 153, 0);\">On the 5th, reporters learned from the Ministry of Industry and Information Technology that the Ministry of Industry and Information Technology, the Ministry of Human Resources and Social Security, the Ministry of Housing and Urban-Rural Development and seven other departments recently jointly issued the \"Digital Transformation Implementation Plan for the Machinery Industry (2025-2030)\" (hereinafter referred to as the \"Plan\"), promoting the digital transformation and intelligent upgrading of the industry.\u003C\u002Fstrong>\u003C\u002Fp>\u003Cp class=\"ql-align-justify\">\u003Cbr>\u003C\u002Fp>\u003Cp class=\"ql-align-justify\">\u003Cspan style=\"font-size: 18px;\" class=\"ql-lineHeight-1-75\">A relevant official from the Ministry of Industry and Information Technology stated that currently, with the rapid development of digital and intelligent technologies represented by the new generation of artificial intelligence, the integration of the real economy and the digital economy is accelerating. The digital and intelligent transformation of the machinery industry needs to expand to a larger scope, penetrate deeper, and evolve to a higher level. At the same time, the machinery industry has many sub-industries, and there are significant differences between industries in terms of scale, production organization methods, and stages of digital transformation. It is urgently necessary to formulate the \"Plan\" to focus on both the digital transformation of the machinery industry itself and supporting the digital transformation of other industries, implementing multiple measures to accelerate the pace of digital transformation and intelligent upgrading of the machinery industry.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp class=\"ql-align-justify\">\u003Cbr>\u003C\u002Fp>\u003Cp class=\"ql-align-justify\">\u003Cstrong class=\"ql-lineHeight-1-75\" style=\"font-size: 18px;\">The \"Plan\" proposes that by 2027, digital and intelligent technologies will be widely applied in links such as product research and development design, production manufacturing, management and operation, and maintenance services. The proportion of enterprises with a maturity level of two or above in intelligent manufacturing capabilities will reach 50%, and no less than 200 world-class intelligent factories will be built. A number of system solution suppliers who understand both the industry and digitalization will be cultivated, and no less than 200 excellent scenario-based solutions will be formed, significantly enhancing service capabilities. By 2030, the majority of large-scale enterprises in the machinery industry will have completed a round of digital transformation. The proportion of enterprises with a maturity level of two or above in intelligent manufacturing capabilities will reach 60%. No less than 500 world-class intelligent factories will be built, and a systematic, secure, and controllable product and service supply system will be basically established, greatly improving the level of digitalization and intelligence in the industry.\u003C\u002Fstrong>\u003C\u002Fp>\u003Cp class=\"ql-align-justify\">\u003Cbr>\u003C\u002Fp>\u003Cp class=\"ql-align-justify\">\u003Cspan style=\"font-size: 18px;\" class=\"ql-lineHeight-1-75\">The \"Plan\" focuses on the digital transformation of the machinery industry itself and empowering the digital transformation of other industries. It centers around the \"three major areas\" of intelligent equipment, intelligent manufacturing, and smart services, implements \"four major actions,\" and proposes 12 key tasks. Focusing on intelligent manufacturing as the main direction, it takes the deep integration of equipment technology and the new generation of information technology as the main line, and uses product intelligence, production digitization, and service intelligence as the handles. It focuses on the needs of enterprise development and industrial transformation and upgrading, adheres to innovation-driven development and security control, and follows the principle of scenario-driven and problem-oriented approaches. It will develop a batch of intelligent equipment, build a batch of intelligent factories, and expand a batch of smart services, promoting the high-end, intelligent, and green development of the machinery industry and providing solid technical equipment guarantees for advancing new industrialization.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(187, 187, 187);\">[News Source] Science and Technology Daily, Reporter Cui Shuang \u003C\u002Fspan>\u003Ca href=\"https:\u002F\u002Fwww.news.cn\u002Ftech\u002F20250807\u002F9f43cc83e6a84d7b9a57932d7fb22acd\u002Fc.html\" rel=\"noopener noreferrer\" target=\"_blank\" style=\"color: rgb(187, 187, 187);\">https:\u002F\u002Fwww.news.cn\u002Ftech\u002F20250807\u002F9f43cc83e6a84d7b9a57932d7fb22acd\u002Fc.html\u003C\u002Fa>\u003C\u002Fp>\u003Cp class=\"ql-align-justify\">\u003Cspan style=\"color: rgb(187, 187, 187);\">（This article is reprinted by this site to provide readers with more information and news. The content does not constitute investment or consumption advice. If there are any questions about the facts in the article, please verify with the relevant parties. The views expressed in the article are not the views of this site and are for reference only.）\u003C\u002Fspan>\u003C\u002Fp>","https:\u002F\u002Fxinwei-dev-test.oss-cn-shenzhen.aliyuncs.com\u002Fintelligent\u002Faudio%3A5ed1453e-793d-4cae-8d9b-ce9f67f3fd2c%3A0.wav?Expires=1774838499&OSSAccessKeyId=LTAI5tNvY2RkKjZw4LLWsrPK&Signature=sNkTqdaQyctAT%2BpYoOomXtREhXI%3D","5ed1453e-793d-4cae-8d9b-ce9f67f3fd2c",7735114]