Galileo OS provides a comprehensive industry solution covering all aspects of the factory 's digital transformation, helping you accelerate the digital process and avoid detours.

Galileo OS provides easy-to-use operation interface, flexible workflow and low-code development platform, allowing engineers to easily build industry applications, improve efficiency, and release innovation potential.

Galileo OS connects various devices and systems to collect massive data in real time. Through AI algorithms and analysis engines, it can gain insight into the value of data and promote intelligent decision-making and continuous optimization.

Galileo OS follows the open interoperability architecture, is compatible with new and old systems, and protects existing IT investments. Flexible integration and expansion mechanisms make your digital transformation path more stable and farther.

IoT Platform
Connecting Device

Connect various types of industrial equipment and sensors to achieve equipment data acquisition, monitoring and remote control. It lays a foundation for intelligent and predictive maintenance of equipment. Let the interconnection of all things become the starting point of industrial intelligence.
Data Center
Aggregate Data

Aggregate data inside and outside the factory, unify data standards and interfaces, and provide strong support for data analysis, mining and application. Let data become the core assets and competitiveness of enterprises.
AI Center
Intelligent Analysis

Integrates cutting-edge AI technology, provides industrial knowledge graph and pre-trained large model, and has a rich industrial AI algorithm library. Enable intelligent applications in industrial scenarios, so that AI-driven factory efficiency doubled.

Our consulting team provides end-to-end digital consulting services, from strategic planning, business combing to technology selection, to tailor your digital transformation roadmap. Make digital transformation targeted, reduce risks, and create greater value.

The hybrid cloud architecture has excellent scalability. One-click installation to achieve the simplest framework deployment. According to the user 's needs, the classification, cluster, industrial platform, and data center modules are automatically expanded, and the entire interface operation can be used to build an information system that adapts to different scales of enterprises without professional knowledge.

Abandon the independent data storage and non-standard interface mode of each system, and provide unified data storage, message service and function intermodulation specification. Each application system is oriented to platform programming, follows unified specifications, realizes application decoupling, and truly realizes data value.

Based on industrial microservices, fully considering the limited private cloud resources, integrating the dynamic deployment capability of IaaS, adding application cloning function, and comprehensively ensuring the reliability of industrial applications running locally.

The ' Galileo OS ' factory platform architecture is used for privatization deployment, hybrid cloud deployment, and public cloud services. The platform uniformly processes protocol interface service security encryption, eliminates data loss, tampering, and other issues. In the case of multi-system and multi-data, secure and effective maximum value data utilization is achieved.

Rich operating system and meta-application software, through the ' Galileo OS industrial platform ' can be one-click simple upload deployment, one-click subscription use. On the same industrial platform, multiple applications run at the same time, each system is interconnected, and the white design function is simple and easy to understand.

In response to the national industrial information call, to achieve their own social value. The product meets the needs of ' large ' ' medium ' ' small ' enterprises, making the factory information and digitization simple.

The ' Galileo OS ' intelligent factory platform provides a wealth of industrial application stores, covering manufacturing, production management, equipment management, safety production, operation management and other fields. Enterprises can quickly select and deploy the required applications according to their needs, and realize end-to-end digital management.

The ' Galileo OS ' smart factory platform deeply understands the importance of data and helps companies achieve a shift from experience-driven to data-driven. Through a unified data collection, storage and analysis framework, the platform can integrate massive data from various systems to form enterprise-level data assets.

The ' Galileo OS ' smart factory platform adopts the architecture design of ' one cloud, multiple terminals ', and supports the access and use of various terminal devices. Whether it is PC, tablet, mobile phone, or various industrial terminals such as PLC, HMI, SCADA, etc., can be seamlessly connected to the platform.
Gaozheng CementGaozheng Cement combines the characteristics of the cement industry, based on the ' Galileo OS ' intelligent factory platform, through data fusion, 3D twin, multi-terminal adaptation and other technologies, in the way of ' platform + application ', to achieve intelligent scenarios such as full life cycle management of production equipment, integrated optimization of quality and energy consumption, and supply chain collaboration. Through digital transformation, Gaozheng Cement has further improved the automation and intelligence level of production and operation, and created an industry-leading intelligent cement factory benchmark.
Chengdu Weilanxing Biotechnology Co., Ltd.Weilanxing based on the Galileo OS intelligent factory platform and integrating new technologies such as the Internet of Things and big data, a full process intelligent waste collection and disposal system has been constructed in a "platform+apps" model. The system realizes the full lifecycle management of garbage collection, disposal, and sale, real-time monitoring of environmental indicators, automatic optimization of production and disposal processes, and visual control of safety production. Through digital means, Tiantou Blue has significantly improved the efficiency of waste disposal and the level of compliant emissions, building a leading smart environmental protection benchmark enterprise in the industry.














This article delves into the transformative power of AI Agents in international industrial and manufacturing sectors, addressing pain points like data silos, asset downtime, and supply chain inflexibility through autonomous perception, reasoning, and action. Drawing on Industry 4.0 policies and reports from McKinsey and the World Economic Forum, it explores applications in Asset Performance Management and Industrial Quality Control, detailing closed-loop processes powered by IIoT, edge computing, and digital twins. Quantified benefits include 20-30% OEE improvements and 15-25% TCO reductions, with future outlooks on edge autonomy and multi-agent collaborations promising resilient, sustainable operations. (112 words)
This article delves into AI Agents' transformative role in industrial automation, solving pain points like data silos and downtime through IIoT and edge computing. It examines policy alignment with Industry 4.0 and ESG, detailed applications in asset management and supply chains, and quantifiable benefits including 20-30% efficiency gains. Drawing from McKinsey and WEF insights, it forecasts edge operations and multi-agent collaboration as key future directions for global manufacturing optimization.
This article delves into AI Agents' transformative role in industrial automation and optimization. Addressing pain points like data silos, downtime, and labor shortages, AI Agents—leveraging IIoT, edge computing, and LLMs—enable autonomous perception, reasoning, and action in sectors such as asset management and quality control. Drawing on Industry 4.0 policies and reports from McKinsey and the World Economic Forum, it outlines closed-loop processes, quantifies benefits like 20-30% OEE gains, and explores 2025 trends including multi-Agent collaboration. Ideal for manufacturing leaders seeking digital transformation insights.
This article explores how AI Agents are revolutionizing industrial automation and predictive maintenance amid global manufacturing challenges. Through a Q&A format, it connects policies like Industry 4.0 to pain points such as data silos and labor shortages, detailing closed-loop applications in Asset Performance Management and Supply Chain Optimization. Backed by insights from WEF, McKinsey, and IEC standards, it quantifies values like 20-30% OEE gains and outlines futures in edge autonomy, emphasizing AI Agents' role in driving sustainable digital transformation for international industries.
In an era of rapid infrastructure development, slope instability poses severe risks to highways, leading to accidents and economic losses. This article explores the necessity of intelligent slope monitoring systems, addressing industry pain points like manual inefficiencies and delayed warnings. Through a Q&A format, it delves into safety policies, digital transformations, detailed system functionalities adapted for highway applications, and real-world value. Leveraging technologies such as BeiDou/GNSS, InSAR, and AI analytics, these systems enable real-time deformation detection, early warnings, and integrated risk management. Ultimately, they enhance safety, reduce costs, and support sustainable engineering, as evidenced by successful cases in China.
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