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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

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Industry Pain Points

Structural Variability
Challenges

Transmission towers across terrains make traditional blueprints inaccurate.

High Deployment
Errors

Lacking 3D guidance, field installations deviate from designs, raising risks.

Inefficient
Inspection

Manual checks along lengthy corridors are hazardous and prone to oversight.

Cross-Department
Collaboration Gaps

Inconsistent data standards between design, construction and operations.

Product Process

Deeply aligned with user needs to build an optimized experience closed-loop

Business Values

Innovative spatial data production methods balancing precision, cost and experience

Efficient Modeling

Rapidly capturing 3D models of towers, conductors, and accessories
Enhancing power grid spatial data collection efficiency

Condition Monitoring

Detecting deformations and tilts to build digital operational records for towers
Enabling risk prediction

Precision Maintenance

Supporting corridor planning and deployment
Advancing scientific and precision-optimized asset management and maintenance decisions

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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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