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小鹏AI科技智造之旅正式开放 P7+第十万台整车同步下线交付
同日,小鹏P7+迎来第十万台整车下线,并与2026款小鹏P7+的首批交付仪式共同举行。 据悉,2026款小鹏P7+,在纯电版本全面焕新的基础上,首次推出超级增程版,实现了430公里的全球 最长纯电续航与1550公里的综合续航。 公司方面透露,2026款小鹏P7+即将登陆全球36个国家市场。今日,新车也在比利时布鲁塞尔同步发 布,正式开启其全球化。 1月9日,以"大湾区AI科技文旅新地标,多形态未来出行体验平台"为核心的工业旅游项目——"小鹏AI 科技智造之旅"正式开放。同日,小鹏P7+迎来第十万台整车下线,2026款小鹏P7+的首批车主交付仪式 同步举行。 小鹏汽车董事长兼CEO何小鹏表示:"我走过很多工厂,看过很多不同的制造现场——福特的博物馆里 藏着航空创业史,大众的透明工厂重构交付体验,保时捷产线上一个为保护工人腰部而设计的翻转装配 设备……这些经历让我深刻感受到,只有亲身走进现场,才能理解制造背后的逻辑、科技背后的人本思 考,以及创新如何真实地发生。这正是打造这个项目的初心——一个属于未来的科技梦。" 何小鹏表示,小鹏正是一家将AI与制造深度融合的物理AI公司,小鹏AI科技智造之旅,依托小鹏全球 总部 ...
赛意信息跻身智能制造“国家队” 牵头国家科技重大专项
Core Insights - The company, Saiyi Information, has received national approval for its project on intelligent scheduling software, marking a significant recognition in the field of intelligent manufacturing [1] - The project aligns with national strategies for digital transformation in manufacturing and aims to address industry pain points such as design change response delays and production execution disconnection [2] Group 1 - The project is set to run from November 2025 to December 2029, indicating a long-term commitment to advancing core technologies in intelligent manufacturing [1] - The company has been recognized as a leader in the MES market for the fourth consecutive year, achieving top market shares in various sectors including photovoltaic and home appliances [2] - The company has established a strong customer base, serving over 3,000 enterprises, with a project delivery success rate exceeding 98% for three consecutive years [3] Group 2 - The company is positioned as a key player in the integration of AI technologies within manufacturing scenarios, utilizing a comprehensive self-developed system for AI applications [3] - The company has been acknowledged as a leader in the industrial AI sector, which supports its ongoing development of next-generation intelligent solutions [2] - The company aims to deepen its penetration in key industries, assisting more manufacturing enterprises in their digital transformation and intelligent upgrades [3]
第六届中国质量奖评选结果公布
Zhong Guo Xin Wen Wang· 2025-09-18 07:53
Group 1 - TCL Technology won the fifth China Quality Award for its quality management model of "extreme, leading, and collaborative" [2] - The China Quality Award was established in 2012 and has conducted five rounds of evaluation and recognition [2] - The founder and chairman of TCL, Li Dongsheng, emphasized that the model aims to achieve efficiency, product quality, and ecological leadership through multi-level collaboration across the entire industry chain [2] Group 2 - The integration of AI with manufacturing is increasingly important, enhancing production efficiency and product quality assurance [2] - TCL Huaxing applied AI intelligent detection systems in panel production, improving production efficiency by 70% and enhancing the process capability index (Cpk) by 11% [2] - TCL Zhonghuan utilized the Deep Blue AI model to integrate technology platforms with smart production lines, reducing manufacturing costs by 21% by the end of 2024 and improving the human-machine ratio by 12% [2] Group 3 - TCL Technology combines digital intelligence technology with manufacturing transformation to achieve flexible manufacturing with fewer personnel and higher intelligence [3] - In the semiconductor display industry, TCL's smart manufacturing maturity reached the highest level in the country, with the capacity of the Shenzhen T1 production line increased by 60% compared to the original design [3] - In the new energy photovoltaic industry, TCL's single furnace monthly output is 30% higher than the industry average, with a single operator remotely managing 384 furnace stations, exceeding the industry average [3] Group 4 - TCL Technology is actively collaborating with industry partners in the field of industrial AI, including a full-stack AI strategic partnership with Alibaba Cloud to create an intelligent hub for the semiconductor display industry [3] - The company plans to invest in building an AI computing power center, industrial large models, and AI service platforms, deeply integrating AI with production manufacturing and product technology research and development [3]