利用數位科技實現基礎設施的無縫轉型。提升建築、電氣化、電網與交通領域的效率。釋放永續解決方案，在優化效能、降低排放的同時，為全民交通帶來創新突破。
Autonomous infrastructure uses real-time data to manage performance and optimize outcomes without constant manual control. While it scales differently across buildings, mobility and grids, the principle remains the same: sense, decide and act. Explore how this works across three domains:
Human-centric autonomous buildings learn individual preferences to create personalized environments with minimal human intervention. AI predicts maintenance, optimizes comfort and improves operational performance and ROI.
Autonomous grids use AI, real-time data and digital twins to optimize grid planning and operations. They help utilities manage rising demand, renewable integration, electrification and grid complexity more efficiently.
Autonomous rail enables networks to manage themselves with minimal human intervention. It uses digital technologies and automation to improve safety, reliability, capacity and passenger experience while lowering costs.
We are moving beyond simple connectivity to create infrastructure that senses, learns, predicts and acts. By integrating our technologies, we help buildings, grids and rail become intelligent, self-optimizing systems that improve efficiency, resilience and sustainability.
隨著都市化進程急速加速，傳統系統已無法因應規模擴張。為因應這場全球性變革，我們正將基礎設施轉型為具認知能力且能自我調節的環境，使其能獨立地洞察並預判使用者需求。
透過 Building X，設施管理不再限於人工監管，實現高達 30% 的節能成效。工業 AI 透過學習使用模式並進行即時調整，自動執行溫度控制與能源分配。
With Gridscale X, utilities can unlock hidden capacity in existing grids, accelerate renewable integration and connect new loads – without building new lines.
自主式基礎設施需要循環生命週期。Mireo 平台透過模組化設計與 3D 列印，達成 95% 回收率，確保基礎設施維持持續、自我永續的循環。
Autonomous infrastructure is adopted over time. As buildings, grids and rail become more connected, they gain the ability to monitor, learn, predict and optimize operations. These ten steps provide a practical framework for understanding the journey toward autonomy.
Every organization starts in a different place. Whether you’re modernizing buildings, power grids or rail networks, we help you build on your existing infrastructure and move forward at a pace that fits your business.
Get started with our 10-step guide.
Autonomous infrastructure is about helping people make better decisions. Meet the managers and operators using AI, automation and connected data to run buildings, power grids and rail networks more efficiently every day.
From firefighting to forward planning. Autonomous buildings help facility managers move from reacting to anticipating. By predicting maintenance needs and highlighting the most critical issues, they reduce manual work and help teams make faster decisions. That means fewer surprises, smoother operations and more time to focus on improving the building instead of troubleshooting it.
From reacting to anticipating. Autonomous grids help the grid operator stay one step ahead. By predicting disruptions and optimizing operations, they improve reliability, keep power flowing and make it easier to integrate cleaner energy. Operators gain greater visibility, make faster decisions and keep the grid running more reliably, even as conditions change.
From managing schedules to optimizing journeys. Autonomous rail helps the rail operations manager keep the trains running smoothly. By predicting disruptions and optimizing operations, it improves capacity, punctuality and energy efficiency. The rush hour passes with more reliable service, giving passengers greater confidence in the network.
不論是製造、能源、建築與維護領域，Siemens 工業 AI 均能在產能、效率、成本與系統可用時間上創造出可量化的成效。這些系統均已正式部署於營運場域，其成果完全可驗證與核計。
Case study
Siemens 與 COIMA 合作，將米蘭這棟擁有 65 年歷史的 Pirelli 35 大樓，改造為具感知能力、能源自給自足的智慧建築；透過人工智慧驅動的環境控制系統，實現了 60% 的能耗削減。
Case study
透過自動化軟體強化電網與鐵路效率。Siemens 為 DB Energie 提供人工智慧工具以升級輸電系統，讓鐵路網路能動態因應再生能源的供應波動。
Case study
Siemens and Elvia use Gridscale X to create a Digital Twin of Norway's low-voltage grid. By turning existing data into real-time insights, Elvia increases grid capacity, improves reliability and accelerates the energy transition.
Article
隨著氣候變動加劇，自主型微電網提供在地化 AI，在主電網故障時維持電力穩定。
Article
為不動產資產組合落實減碳，必須朝向自給自足的資產轉型。本路徑圖探討如何透過整合智慧技術，讓建築自主管理二氧化碳平衡並自動執行節能。
Article
了解這座獨立自主的太陽能微電網如何自行管理配電，進而促進經濟成長、減少貧窮。
Siemens combines the real and digital worlds across buildings, grids and transportation to meet growing demands. We link sensors and software to manage energy and transport networks. This shift toward autonomous operations drives efficiency and resilience across buildings, grids and transit.
利用創新解決方案徹底革新基礎設施。探索我們的產品組合，強化都市基礎設施與移動服務。
Our leading AI-native platform. Building X enables your facility to become a self-adjusting ecosystem, making real-time decisions to balance occupant comfort with radical energy efficiency.
This SaaS-led ecosystem enables DSOs and industrial customers to move toward dynamic grid management. Utilizing the Gridscale X framework, the grid becomes capable of balancing renewable volatility and EV demand spikes instantly.
Purpose-built for true system operations, Gridscale X connects grid planning and operations through a unified digital twin – helping utilities manage complexity at scale and make autonomous grids a reality.
The future of mobility is a self-healing fleet. Railigent X integrates AI-driven digital services to ensure rail networks operate with total reliability, identifying and solving potential failures before they impact the passenger.
Every journey, connected. Mobility Software Suite X links planning, operations and passenger services to optimize capacity and create a more seamless travel experience.
More capacity from every track. Signaling X brings rail signaling onto a cloud-ready platform for safer, more efficient and resilient operations.
Siemens Financial Services combines financing expertise with deep technology knowledge to help organizations modernize buildings, grids and rail while reducing risk and supporting long-term growth.
