{"id":7537,"date":"2026-02-25T11:04:30","date_gmt":"2026-02-25T11:04:30","guid":{"rendered":"https:\/\/www.intnews.it\/?p=7537"},"modified":"2026-02-25T11:04:35","modified_gmt":"2026-02-25T11:04:35","slug":"digital-twins-complete-guide-to-the-technology","status":"publish","type":"post","link":"https:\/\/intnews.it\/en\/digital-twins-complete-guide-to-the-technology\/","title":{"rendered":"Digital Twins: Complete Guide to the Technology"},"content":{"rendered":"\n
<\/div>\n\n\n\n

Digital Twins<\/strong>\u00a0are dynamic virtual representations of a physical object or system that span its entire lifecycle, updated from real-time data to support decision-making. This technology goes beyond simple static simulation by creating a living bridge between the physical and digital worlds. According to IBM definitions and NASA protocols, a Digital Twin uses IoT sensors to collect data on the state of the real system and applies artificial intelligence algorithms to predict failures or optimize performance.<\/p>\n\n\n\n

<\/div>\n\n\n\n

Key Takeaways<\/h3>\n\n\n\n
    \n
  • Dynamic Replica:<\/strong>\u00a0It is not a static 3D model, but a system that “lives” and changes along with its physical counterpart.<\/li>\n\n\n\n
  • Data-Driven:<\/strong>\u00a0It constantly feeds on data from sensors (IoT) installed on the real object.<\/li>\n\n\n\n
  • Predictive Analysis:<\/strong>\u00a0It allows testing “what-if” scenarios without risks to the real infrastructure.<\/li>\n<\/ul>\n\n\n\n
    <\/div>\n\n\n\n

    What are Digital Twins<\/strong> and how they originated<\/h2>\n\n\n\n

    The concept of “twinning” has origins in aerospace engineering. NASA pioneered this logic during space missions in the 1960s, replicating systems sent into space on the ground (as in the case of Apollo 13) to diagnose problems remotely. Today, Digital Twins<\/strong> have evolved thanks to the convergence of three technologies: increased computing power, pervasive connectivity (5G\/IoT), and Big Data analytics.<\/p>\n\n\n\n

    Unlike a CAD model, which defines the geometry of an object, the Digital Twin understands its behavior. It integrates:<\/p>\n\n\n\n

      \n
    • Historical Data:<\/strong>\u00a0Past machine performance.<\/li>\n\n\n\n
    • Real-time Data:<\/strong>\u00a0Temperature, vibration, pressure.<\/li>\n\n\n\n
    • Physics Models:<\/strong>\u00a0The laws of physics governing the object’s operation.<\/li>\n<\/ul>\n\n\n\n
      <\/div>\n\n\n\n

      Technical architecture and data flow<\/h2>\n\n\n\n

      To function correctly, this technology requires robust architecture based on cloud computing (such as Microsoft Azure Digital Twins or AWS IoT TwinMaker). The operational flow follows a precise pattern:<\/p>\n\n\n\n

        \n
      1. Data Ingestion:<\/strong>\u00a0Sensors on the physical asset transmit continuous telemetry.<\/li>\n\n\n\n
      2. Processing:<\/strong>\u00a0The cloud system aggregates data, cleaning background noise.<\/li>\n\n\n\n
      3. Synchronization:<\/strong>\u00a0The virtual model is instantly updated to reflect the exact state of the physical asset.<\/li>\n\n\n\n
      4. Insight:<\/strong>\u00a0Machine Learning algorithms analyze discrepancies between the ideal model and real data to identify anomalies.<\/li>\n<\/ol>\n\n\n\n
        <\/div>\n\n\n\n
        \n
        \"\"<\/figure>\n<\/figure>\n\n\n\n
        <\/div>\n\n\n\n

        Applications of Digital Twins<\/strong> in industry<\/h2>\n\n\n\n

        The adoption of Digital Twins<\/strong> is radically transforming several strategic sectors, enabling a shift from reactive to predictive maintenance.<\/p>\n\n\n\n

          \n
        • Manufacturing (Smart Manufacturing):<\/strong>\u00a0Siemens and General Electric use this technology to monitor turbines and production lines. If the virtual twin detects simulated overheating, technicians can intervene on the real engine before it breaks.<\/li>\n\n\n\n
        • Smart Cities:<\/strong>\u00a0Cities like Singapore possess a digital twin of the entire urban area to simulate traffic, energy consumption, and emergency response.<\/li>\n\n\n\n
        • Healthcare:<\/strong>\u00a0The creation of “twins” of human organs is being tested to assess drug efficacy or simulate complex surgeries on a specific virtual patient before operating.<\/li>\n<\/ul>\n\n\n\n
          <\/div>\n\n\n\n

          Conclusions and future perspectives<\/h2>\n\n\n\n

          Digital Twin technology represents the backbone of the future Industrial Metaverse. With the evolution of Generative Artificial Intelligence, these systems will become increasingly autonomous, capable not only of flagging a problem but also of implementing automatic corrections on the physical system, definitively closing the loop between bits and atoms.<\/p>\n","protected":false},"excerpt":{"rendered":"

          Digital Twins are virtual replicas of physical systems used for simulations and predictive analysis. Discover definition and benefits.<\/p>\n","protected":false},"author":6,"featured_media":7535,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"inline_featured_image":false,"footnotes":""},"categories":[81,79],"tags":[],"class_list":{"0":"post-7537","1":"post","2":"type-post","3":"status-publish","4":"format-standard","5":"has-post-thumbnail","7":"category-int-learn","8":"category-sections"},"acf":[],"yoast_head":"\nDigital Twins: Complete Guide to the Technology - INT News<\/title>\n<meta name=\"description\" content=\"Digital Twins are virtual replicas of physical systems used for simulations and predictive analysis. Discover definition and benefits. 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