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As-built measurement
Through handheld 3D LiDAR Scanners and automated modeling technology, the efficiency of completion acceptance data collection is greatly improved, helping to build a high-precision and visual completion management system, making the restoration of the completion status more efficient and realistic.
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Business pain points
• Traditional manual surveying and mapping: single-point collection is slow and relies on the experience of surveying and mapping personnel. It is difficult to fully cover complex structures. In addition, field operations are intensive and cycle-long, making it difficult to meet the needs of rapid acceptance of modern projects.
• Traditional oblique photography/mounted scanning: The equipment is expensive and bulky, site assembly is cumbersome, it is subject to airspace and lighting restrictions, there are data blind spots indoors or in severely blocked areas, and the operation flexibility is poor.
Usage scenarios
Completion acceptance of construction projects, acceptance of municipal roads and pipe networks, completion review of underground spaces, delivery measurement of industrial plants, measurement of fire protection facilities and concealed projects, and surveying and mapping of existing building renovations.
solution
Digitalization of as-built measurements
Through handheld 3D LiDAR Scanners and intelligent calculation algorithms, the efficiency of data collection on the completion status is greatly improved, and a high-precision completion verification database is constructed to make completion verification more intelligent and convenient.
● Compared with traditional single-point measurement, the efficiency is increased by more than 20 times
● Intelligent SLAM real-time positioning can carry out millimeter-level fine collection of structural features and support automatic texture fusion.
● There is no need to set up stations and targets, and dynamic continuous scanning can be achieved, covering complex indoor and outdoor scenes in one operation.
● Supports one-click export of multi-format data, generates real-life 3D models, and connects to GIS/BIM platforms for map-model comparison.
hardware
SHARE SLAM S20 SE
Rapid scanning scenarios in small-scale, non-GPS signal environments such as indoor decoration acceptance, underground garages, small rooms, etc.
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SHARE SLAM S20
Scenes that require extremely high texture, color and detail accuracy, such as building repair acceptance, completion of complex special-shaped structures, and review of facade details.
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SHARE SLAM S100
Long-distance scenarios such as city-level municipal roads, large-area building complexes, and park terrain require high ranging range and accuracy.
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Workflow
• Data collection: Operators hold 3D LiDAR Scanners and scan at the property site to obtain high-precision 3D point cloud data and texture information in real time.
• Data governance: Import the collected data into SHARE PointClouds Studio, automatically complete trajectory calculation and coordinate fusion, and generate color point cloud data and real-life 3D models.
• Application delivery: Import the model into the as-built measurement management system and compare it with the design drawings to provide accurate data support for planning verification and construction acceptance, forming a closed loop of data application.
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