In today's rapidly changing 3D scanning technology, handheld SLAM (Simultaneous Localization and Mapping) laser scanner with its portability, efficiency and high precision, It has become an indispensable tool in the fields of spatial data collection, interior mapping, architectural design and cultural heritage protection. However, in order to realize its full potential and ensure the accuracy and integrity of the scanning data, it is essential to master the operational skills and quality control points in the field.
Today, we will deeply explore the practical skills of handheld SLAM laser scanner in the 3D scanning process, and how to ensure the accuracy, integrity and efficiency of scanning data through fine operation and quality control, laying a solid foundation for subsequent data analysis, spatial modeling and diversified applications
PART.01
- Check and initialize the device
Ensure that the laser scanner has sufficient power, stable connection, normal startup and data acquisition function, and turn on the device in advance for pre-inspection to avoid on-site operation interruption.
- Workload assessment and zoning planning
The workload of the scanning scene is estimated, and the scanning area is reasonably divided according to the factors such as floor, indoor and outdoor environment, and difficulty level to ensure the efficiency of task allocation.
- Identify and avoid critical areas
Mark areas that are difficult to access, have low recognition, and have a large impact on the scan trajectory, and scan them separately or adjust strategies if necessary to avoid affecting the overall point cloud quality.
- Connect the start point to the internal network
Select the appropriate scanning starting point to ensure that each partition can successfully complete a large range of closed-loop scanning, and increase the internal small closed-loop area to improve the precision and connectivity of the scan.
- Handling the handover
Pay attention to the intersection between different partitions to ensure that there are enough feature point clouds to facilitate subsequent data splicing and improve accuracy.
- Object adjustment and optimization
Adjust the position of objects in the scanning scene to avoid affecting the scanning accuracy due to the movement of objects. Change the placement position if necessary to increase the accuracy.
PART.02
- Stabilize and initialize the device
During the device initialization phase, avoid touching or moving the device to ensure that it is stably placed on a horizontal surface and reduce interference during operation.
- Mobile object management
To reduce the interference of a large number of moving objects during scanning, the following personnel should walk behind the operator as far as possible, there is an inevitable large mobile scene, the scanner should be aligned with the stationary area, or choose to close the scan as soon as possible to ensure the accuracy and continuity of data acquisition.
- Corners and details
Stay or move slowly at the corner position to ensure the integrity of data acquisition and avoid data loss or inaccuracy caused by excessive speed.
- Avoid shaking the device
Keep the equipment stable to avoid violent shaking during data acquisition, which will affect the effect and data quality of subsequent construction.
- Target area alignment and data density
Aim the scanner at the target area as much as possible to ensure data density and improve scanning quality and accuracy, especially on key structures such as walls.
PART.02
- Stabilize and initialize the device
During the device initialization phase, avoid touching or moving the device to ensure that it is stably placed on a horizontal surface and reduce interference during operation.
- Mobile object management
To reduce the interference of a large number of moving objects during scanning, the following personnel should walk behind the operator as far as possible, there is an inevitable large mobile scene, the scanner should be aligned with the stationary area, or choose to close the scan as soon as possible to ensure the accuracy and continuity of data acquisition.
- Corners and details
Stay or move slowly at the corner position to ensure the integrity of data acquisition and avoid data loss or inaccuracy caused by excessive speed.
- Avoid shaking the device
Keep the equipment stable to avoid violent shaking during data acquisition, which will affect the effect and data quality of subsequent construction.
- Target area alignment and data density
Aim the scanner at the target area as much as possible to ensure data density and improve scanning quality and accuracy, especially on key structures such as walls.
Room and small space scanning strategy
According to the size of the room and scanning conditions, the scanning sequence is reasonably arranged to avoid scanning small rooms or areas that are difficult to access for a long time. At the same time, slow scanning is adopted in small Spaces to identify more feature points and improve the accuracy of SLAM calculation.
PART.03
- Dislocation and fault examination
Ensure that there is no obvious dislocation of the point cloud to avoid affecting the accuracy and coherence of the overall structure, and check whether there is a data fault to ensure data continuity.
- Distortion and structural evaluation
Evaluate whether there is distortion in the point cloud, which affects the true restoration and detail expression of the spatial structure, and ensure that the scanning data can accurately reflect the actual spatial structure.
PART.04
- Uniformity of slice thickness
Check the thickness of the point cloud after slicing to ensure that the data density is uniform and to avoid visual or analytical errors caused by excessive thickness.
- Noise and hierarchical identification
Observe whether there is stratification or a lot of noise in the point cloud, especially in the repeat scan or loop area, to ensure the purity and accuracy of the data.
- Data integrity verification
Load the trajectory, check whether there is data missing, ensure the integrity and continuity of data, and provide a reliable basis for subsequent analysis and application.
- Coloring and visual effects
Evaluate whether the point cloud coloring is accurate, affecting subsequent visual effects and spatial understanding, and ensuring that the point cloud data can clearly and intuitively show the spatial structure.
- Verticality and structural accuracy
Verify the verticality of the wall data to ensure the accuracy and detail of the spatial structure and ensure that the data accurately reflects the geometric characteristics of the actual building or space.
Through the above optimization strategy, the efficiency of scanning process and high level of data quality can be ensured, and the convenience and security of field operation can be improved, which provides a solid foundation for subsequent data analysis, spatial modeling and application.