The quality of the finish on an industrial project or product is directly determined by the quality of the planning and data collected to support decision making, design requirements, and manufacturing processes.ģD laser scanning technology ensures that the quality and precision of the measurements taken for parts, equipment and spaces are of the highest caliber to guarantee the quality of manufacturing and execution of the project.
For example, measuring the cliff face would have put the surveyor in a position of health risk, but with scanning, our surveyor places the instrument at the base of the cliff and lets the machine do all the measurements. From a safety perspective, laser scanning allows us to inspect areas that might be considered unsafe without endangering ourselves or team members. This translates into less facility downtime. This leads to less time-consuming construction re-work and the ability to manufacture in the factory rather than in the field. More detailed and accurate information leads to more complete As-built design projects, resulting in better retrofit designs. The laser sweeps across an area or object and returns millions of data points. Laser scanning also enables data collection in a variety of circumstances, including low-light scenarios.Īccuracy and detail: Laser scanners (using LiDAR) acquire a great deal of information about the scanned location in a matter of seconds. For as-built, topographic, detail, and engineering surveys, time to completion has never been faster. Survey work that would have taken days or weeks to complete can now be completed in hours. Speed and Efficiency: Our 3D laser scanning service delivers incredible detail in a short amount of time. Open Access This is an open access article distributed under the CC BY-NC license ( ).Advantages of using laser scanning in industrial facilities: This method could retain the point cloud data which reflects the surface character of object with higher simplification efficiency.
The example shows that this method could simplify the scan line point cloud data got by 3D laser scanner directly and effectively. Finally, the angle-chord comprehensive simplification method is prompted. Secondly, the angle deviation error and chord deviation error simplification method is researched based on the analysis of characteristic of 3D laser scan point cloud data.
Firstly, the conventional point cloud data classification and simplification method is introduced. The density of acquired data by 3D laser scanner is huge and is not convenient for curved face reconstruction, model reconstruction, data storage, data display and transmission.
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