The Method of Cloudizing Storing Unstructured LiDAR Point Cloud Data by MongoDB

Faced with the deficiency of storing the massive unstructured LiDAR point cloud data with local file system, a cloudizing storage method is proposed for unstructured LiDAR point cloud data based on MongoDB database system. Firstly, this paper designs the architecture of cloudizing storage server cluster for LiDAR point cloud data in the light of distributed storage framework of MongoDB. Secondly, this paper puts forward an organization model of point cloud data file chunks, in accordance with MongoDB distributed file system GridFS, based on which the point cloud file chunks´ parallel sharding is achieved. Finally, the prototype system is designed and accomplished for point cloud data cloudizing storage, which is used to carry out experiments on accessing the point cloud data in GridFS, and the results approve that the cloudizing storage proposed in this paper performs better than local file system in the accessing point cloud data.