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The core technology of the German Railway case applies the semantic segmentation function of Wolken Analytics, the core technology of the German Railway case applies the semantic segmentation function of Wolken Analytics, the core technology of the German Railway case applies the semantic segmentation function of Wolken Analytics,

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Industry Pain Points

Product Process

Business Values

Industry Pain Points

Complex Pipeline
Networks

Hidden routes through diverse areas defy traditional surveying for accurate mapping.

Design-Reality
Discrepancies

Modifications cause pipelines to deviate from designs, complicating verification.

Inadequate Risk
Early-Warning

Ground shifts and surface disturbances lack pipeline data correlation for prevention.

Inefficient Spatial
Data Collection

Manual surveys in remote areas yield fragmented and outdated data.

Product Process

Deeply aligned with user needs, building an optimized experience closed-loop operation

Business Values

Innovative spatial data production methods balancing precision, cost, and experience

Data Integration

Breaking down information silos across design, construction, and maintenance phases
Establishing a unified digital pipeline network blueprint.

Risk Early-Warning

Integrating terrain changes with structural models
Enabling early prediction of geological risks and settlement impacts

Intelligent Maintenance

Supporting full lifecycle management of pipeline facilities
Enhancing safety inspection quality and maintenance decision efficiency

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We use AI and foundation model to provide the infrastructure industry
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Point Cloud Management,Analysis,and Quality Inspection Software [Wolkenlnsight] Point Cloud Al Auto Segmentation and Annotation Engine [WolkenCept] Point Cloud Segmentation and Annotation Software [WolkenRefinery] Smart 3D Point Cloud Modeling Assistant [WolkenShape]

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Solutions for Oil & Gas Pipeline

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