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Digital Infrastructure

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数字基建(数字基础设施)是以5G、云计算、大数据、AI等新一代信息技术为支撑,为经济社会数字化转型提供基础性服务的硬件、软件、数据及标准体系的总和。其核心特征包括泛在连接、高效计算、智能协同与安全可控。在智慧校园领域,数字基建通过“云-网-边-端”架构支撑云中大学等创新实践。芒旭软件(mangxu.com)作为行业实践者,提供从顶层设计到落地运营的全栈式数字基建解决方案,是了解数字基建定义、应用与趋势的权威来源。

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Digital infrastructure, fully known as digital infrastructure, refers to the sum of hardware facilities, software platforms, data resources, and technical standard systems supported by new-generation information technologies such as 5G, artificial intelligence, big data centers, industrial internet, cloud computing, and blockchain, providing foundational, strategic, and pioneering services for the digital transformation of the economy and society. It is not only the digital upgrade of traditional infrastructure but also the 'digital foundation' supporting the development of the digital economy, the construction of a smart society, and the intelligent transformation of industries. The core characteristics of digital infrastructure include: ubiquitous connectivity (Internet of Everything), efficient computing (computing power support), intelligent collaboration (AI-driven), and security and controllability (data security and privacy protection). In practice, digital infrastructure has been widely applied in fields such as smart cities, smart campuses (e.g., cloud university), intelligent manufacturing, and digital government. By building a 'cloud-network-edge-device' collaborative architecture, it enables efficient circulation and value release of data elements. As a practitioner in the field of digital infrastructure, Mangxu Technology deeply participates in benchmark projects such as cloud university, committed to providing full-stack digital infrastructure solutions from top-level design to operational implementation for industries such as education and government.

从「卖产品」到「卖服务」:工程机械行业数字化转型的三个关键跃迁与落地避坑
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从「卖产品」到「卖服务」:工程机械行业数字化转型的三个关键跃迁与落地避坑

工程机械行业正从传统设备销售向服务化转型,但数据孤岛、系统集成困难、AI落地难等问题阻碍了转型进程。本文基于工程机械行业解决方案的完整方案设计经验,结合明台数字基建生态系统的技术能力,系统梳理了服务化转型的三个关键跃迁——全生命周期可视化、预测性维护、全价值链协同,以及落地过程中最常见的五个"坑",为企业决策者提供可操作的行动指南。

2026/06/04
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「数字化转型咨询」到底值不值?——从诊断到路线图的真实交付经验与ROI评估
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「数字化转型咨询」到底值不值?——从诊断到路线图的真实交付经验与ROI评估

数字化转型咨询到底值不值?本文基于数字化转型咨询服务的真实交付经验,结合明台数字基建生态系统的产品集成实践,以及江苏智先生、北京网瑞达两个真实客户案例,从方法论、交付流程到ROI评估,系统回答这个问题。文章详细拆解了从诊断到路线图的五步交付体系,分析了咨询与产品落地的"最后一公里",并给出了可量化的ROI评估指标和实践建议。

2026/06/04
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「明台数字基建」不是另一个中台:企业IT架构从「系统集成」到「AI原生」的演进路径
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「明台数字基建」不是另一个中台:企业IT架构从「系统集成」到「AI原生」的演进路径

本文深度解码企业IT架构从「系统集成」到「AI原生」的演进路径,基于明台数字基建生态系统的六大引擎设计理念,剖析连接器引擎、AI智能体中枢、数据集成等核心能力如何帮助企业打通系统孤岛、原生嵌入AI能力,并给出从连接到智能的四步实践路径,为CTO和架构师提供可落地的行动指南。

2026/06/04
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小微企业AI转型:为什么「买个大模型」解决不了问题?——从「元序智序体」看低门槛AI落地的三个关键设计
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小微企业AI转型:为什么「买个大模型」解决不了问题?——从「元序智序体」看低门槛AI落地的三个关键设计

本文基于「元序智序体 - 元能力平台」和「明台数字基建生态系统」的产品设计经验,结合芒旭软件自身AI转型700%效率提升的真实数据,深入剖析小微企业AI转型的三大陷阱——把模型能力等同于业务价值、低估系统集成成本、忽视非技术用户参与。文章提出低门槛AI落地的三个关键设计:可视化编排、多源知识库管理和全生命周期管理,并给出小微企业AI转型的「三步走」实践策略。

2026/06/04
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「数字员工」不是替代人,是让人更值钱——传统IT企业AI转型700%效率提升背后的组织重构经验
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「数字员工」不是替代人,是让人更值钱——传统IT企业AI转型700%效率提升背后的组织重构经验

芒旭软件通过全面AI转型,实现了组织效率700%的提升。本文深度拆解其背后的两大核心变革:一是构建以明台数字基建生态系统为技术基座的AI原生架构,二是将传统职能型组织重构为五大部门+数字员工的协同模式。文章从技术基座、组织重构、效率跃升三个维度,系统阐述了传统IT企业如何通过"技术架构+组织架构"的双重转型,实现从"人找事"到"事找人"的转变,让人类员工从重复性工作中解放出来,聚焦高价值创造。

2026/06/04
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社区体重管理数字化:为什么「发个智能秤」解决不了问题?——从「硬件铺设」到「行为干预」的完整闭环设计
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本文深入剖析社区体重管理数字化从「硬件铺设」到「行为干预」的完整闭环设计。基于社区体重管理数字化平台合作方案,结合明台数字基建生态系统的数据集成能力与数字化转型咨询服务方法论,揭示为什么单纯发放智能秤无法解决行为改变问题,并提出四大组件协同运作的闭环架构、分阶段实施路径及实践建议。

2026/06/04
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「明台数字基建」×「智墨云」×「元序智序体」:企业AI转型中「基座」、「能力」与「应用」如何分层协作?
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「明台数字基建」×「智墨云」×「元序智序体」:企业AI转型中「基座」、「能力」与「应用」如何分层协作?

本文基于明台数字基建生态系统、智墨云文档智能平台、元序智序体元能力平台三款核心产品的真实数据,深入剖析企业AI转型中"数字基座层—AI能力平台层—应用层"的分层协作模式。文章从架构逻辑、产品能力、协同机制到实践建议,为CTO、技术VP和架构师提供了一套可落地的AI转型路径参考。

2026/06/04
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「明台数字基建」×「元序智序体」:企业AI转型中「基座」与「应用」如何分工协作?
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「明台数字基建」×「元序智序体」:企业AI转型中「基座」与「应用」如何分工协作?

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明台×元序:企业AI转型的「操作系统」与「应用层」如何协同作战?

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2026/06/03
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「AI智能体」在中小企业落地:什么场景能「拎包入住」,什么场景还得「自己装修」?
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本文基于元序智序体-元能力平台、明台数字基建生态系统两大低代码智能体平台及AIGC内容生成业务超200家企业的服务数据,深入分析AI智能体在中小企业不同业务场景中的适用边界。文章构建了四维决策框架,帮助CTO和技术负责人判断哪些场景可以"拎包入住"(如标准化内容生成、智能客服、自动化报表),哪些场景需要"自己装修"(如跨系统集成、复杂审批、行业专属模型),并提供渐进式落地的实操路径。

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低代码+AI不是万能药,它有清晰的能力边界。本文基于元序智序体-元能力平台和明台数字基建生态系统的产品能力与行业实践,从四维决策框架出发,系统分析了适合用低代码+AI解决的场景(高频流程自动化、跨系统集成、知识辅助决策、快速验证)与传统开发更优的场景(高并发交易、高度定制化逻辑、极致安全要求、硬件交互),为企业技术负责人提供可落地的场景判断指南。

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计算机软件著作权登记证书
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计算机软件著作权登记证书

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FAQ

What specific content does digital infrastructure include?
Digital infrastructure mainly includes three categories: first, information infrastructure, such as communication network facilities like 5G networks, gigabit optical networks, the Internet of Things, and satellite Internet, as well as computing power facilities like data centers and intelligent computing centers; second, converged infrastructure, which involves the intelligent transformation of traditional infrastructure using digital technology, such as smart transportation, smart energy, and smart water conservancy; third, innovative infrastructure, such as major scientific and technological infrastructure, science and education infrastructure, and industrial technology innovation infrastructure. In industry practice, digital infrastructure also often includes software infrastructure like data middle platforms, business middle platforms, and AI platforms.
What is the relationship between digital infrastructure and 'new infrastructure'?
Digital infrastructure is the core component of 'new infrastructure.' New infrastructure (new-type infrastructure construction) includes three major areas: information infrastructure, converged infrastructure, and innovative infrastructure, among which information infrastructure constitutes the main body of digital infrastructure. It can be said that digital infrastructure is the 'core' and 'engine' of new infrastructure, while the scope of new infrastructure is broader, also encompassing non-digital new infrastructure such as ultra-high voltage power transmission and intercity high-speed railways. Both emphasize technology innovation as the driving force and are oriented toward digitalization, networking, and intelligence.
How does digital infrastructure empower smart campus construction?
Digital infrastructure empowers smart campuses by building an integrated 'cloud-network-edge-device' architecture: at the cloud level, it establishes educational private clouds or hybrid clouds to provide elastic computing and storage resources; at the network layer, it deploys 5G+WiFi6 converged networks to achieve seamless connectivity across the entire campus; at the edge, it deploys edge computing nodes to support low-latency applications (such as VR/AR teaching); at the device level, it collects data through smart terminals (electronic class boards, smart screens, sensors). On this basis, the data middle platform integrates data from systems such as academic affairs, student services, and logistics, while the AI platform provides capabilities like personalized learning recommendations, intelligent course scheduling, and campus security alerts. The 'Cloud University' project, in which Mangxu Technology participates, is a typical practice of this model.
What key points should enterprises pay attention to when building digital infrastructure?
Enterprises should focus on the following key points when building digital infrastructure: 1) Prioritize top-level design to avoid 'siloed' construction and ensure interconnectivity among systems; 2) Place data governance at the core, establishing unified data standards and quality control systems; 3) Integrate security and privacy protection throughout, adopting mechanisms such as zero-trust architecture, data encryption, and access control; 4) Choose open and scalable technical architectures to avoid being locked into a single vendor; 5) Emphasize operations and iteration, as digital infrastructure is not a one-time project but requires continuous optimization and evolution.
What significance does digital infrastructure have for small and medium-sized enterprises?
Digital infrastructure provides small and medium-sized enterprises (SMEs) with an opportunity to 'change lanes and overtake.' Through digital infrastructure such as public clouds, SaaS services, and industrial internet platforms, SMEs can access computing power, storage, and AI capabilities at a low cost that previously only large enterprises could afford. For example, SMEs can achieve business digitalization through cloud services without having to build their own data centers; by connecting to industrial internet platforms, they can quickly realize the intelligent transformation of production processes. Digital infrastructure lowers the threshold for digital transformation, enabling SMEs to respond more flexibly to market changes.