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打造智慧工厂的“好点子”来了! 中国电信全栈工业能力亮相2025世界智能制造大会
Yang Zi Wan Bao Wang· 2025-11-28 05:11
它兼容数百种工业协议,能打通不同品牌、不同年代的设备数据壁垒,将纷繁复杂的设备数据统一采集 并上传至云端,构建起从"采集-承载-汇聚-应用"的完整数据流,让管理者能随时随地透视产线细节,大 幅降低对人力的依赖。在卫岗乳业的实践中,该平台通过实时监控产线压力、温度等工艺参数,实现单 位产能人力投入降低27%。 而"鲁班数控AI+MES"系统如同一位产线智慧指挥官。在金宁工装,该系统的使用助力企业实现生产效 率提升15%,产品不良率降低10%。它不仅能根据订单、物料和设备状态进行AI智能排产,更能基于实 时采集的工艺数据(如切削速度、进给量),对加工参数进行自适应微调,实现了生产环节的智能排产 与工艺自调。这确保了即使在频繁换线生产,质量也能始终稳定,直接帮助企业提升生产效率。 能协作、能预判,为园区管理构建"智慧生命体" 首批15家领航级智能工厂首次集体亮相;打拳、跳舞、绕酒杯,炫酷的"机器人军团"相继出场;节能、 智控、数字孪生,各种软硬一体的工业制造方案层出不穷……11月27日,第十届世界智能制造大会上在 南京国际博览中心开展。 随着工业互联网从概念验证迈向规模化部署,制造业数字化转型进入"深水区"。此次大 ...
浙江出台深化5G发展三年行动计划
Zhong Guo Hua Gong Bao· 2025-08-06 02:23
Group 1 - The core viewpoint of the article is the release of the "Zhejiang Province Deepening 5G Development Three-Year Action Plan (2025-2027)", which aims to establish a 5G development pattern characterized by "universal capability, widespread application, and inclusive empowerment" by 2027 [1] - The plan outlines three key tasks: construction of 5G network infrastructure, development of the 5G basic industry, and promotion of 5G integrated applications, with a focus on industrial applications [1] - The plan emphasizes the large-scale promotion of 5G industry-specific networks, targeting industrial, transportation, and energy sectors, and aims to support the construction of industrial 5G independent networks in large enterprises and special industry fields [1] Group 2 - The plan advocates for the advancement of key 5G product research and development, including lightweight chip modules, industrial gateways, integrated private network equipment, customized base stations, and both general and specialized terminals [2] - It aims to accelerate the integration of 5G with industry, promoting typical application scenarios such as machine vision quality inspection, remote equipment control, and flexible manufacturing [2] - The plan also highlights the exploration of equipping intelligent devices with pre-installed 5G modules to enable real-time connections and support the transition from "single-machine intelligence" to "cloud-edge-end collaborative intelligence" [2]