US2022224781A1PendingUtilityA1

Spatial data processing system and method

Assignee: CMTE DEV LTDPriority: Sep 7, 2017Filed: Jan 20, 2022Published: Jul 14, 2022
Est. expirySep 7, 2037(~11.1 yrs left)· nominal 20-yr term from priority
G01V 2210/66G06F 16/23G06T 17/05G06F 16/29G01V 2210/60G01V 1/302G01V 1/345G01V 9/02G01V 11/00H04L 69/26G06Q 30/0283G06Q 50/02G01V 20/00
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Claims

Abstract

A system for handling 3 dimensional spatial information, the system including: a specialized application layer for the production of visual interactive applications associated with the 3 dimensional spatial information; a generic foundation client layer providing 3 dimensional spatial information interrogation routines, including a message passing interface; and a voxel server for interconnected to said generic foundation client via said message passing interface for the storage of 3 dimensional spatial information as a voxel data base.

Claims

exact text as granted — not AI-modified
1 . A system for handling 3 dimensional spatial information, the system including:
 a specialized application layer for the production of visual interactive applications associated with the 3 dimensional spatial information;   a generic foundation client providing 3 dimensional spatial information interrogation routines, including a message passing interface; and   a voxel server interconnected to said generic foundation client via said message passing interface for the storage of 3 dimensional spatial information as a voxel data base.   
     
     
         2 . A system as claimed in  claim 1 , wherein said voxel database stores 3 dimensional information indexed by individual x, y and z co-ordinates, with x and y being planar co-ordinates and z being depth co-ordinates. 
     
     
         3 . A system as claimed in  claim 2 , wherein said voxel database recursively structures said 3 dimensional spatial information recursively, in a hierarchical manner. 
     
     
         4 . A system as claimed in  claim 1 , wherein said 3, dimensional information is stored as either a geodetic or Euclidian space. 
     
     
         5 . A system as claimed in  claim 1 , wherein the 3 dimensional spatial information includes location information, in addition to material properties associated with said location information. 
     
     
         6 . A system as claimed in  claim 1 , wherein the 3 dimensional spatial information includes data objects such as points, lines, planes, surfaces, polygons, shapes or volumes. 
     
     
         7 . A system as claimed in  claim 1 , wherein the 3 dimensional spatial information includes structured data objects such as textures, images and video. 
     
     
         8 . A system as claimed in  claim 1 , wherein said specialized application layer includes a real time object moving in a 3 dimensional spatialized space, recording spatialized data. 
     
     
         9 . A system as claimed in  claim 1 , wherein said 3 dimensional spatial information includes mineral resource value estimates associated with said 3 dimensional spatial location. 
     
     
         10 . A system as claimed in  claim 9 , wherein said mineral resource value estimates are derived from the merging of multiple models associated with the 3 dimensional spatial information. 
     
     
         11 . A system as claimed in  claim 1 , wherein said 3 dimensional spatial information includes blockchain verifiable data. 
     
     
         12 . A method for storage, access and updating of geographically, geodetically or geometrically based data, the method including the steps of:
 storing the data indexed by individual x,y and z coordinates, with x,y indicating planar coordinates and z indicating depth coordinates.   
     
     
         13 . A method as claimed in  claim 12 , further comprising storing the data indexed by temporal coordinates. 
     
     
         14 . A method as claimed in  claim 12 , wherein said geographically, geodetically or geometrically based data is stored in a recursively subdividable 3D volumetric manner with and geo-referenced spatial location data. 
     
     
         15 . A method as claimed in  claim 12 , further comprising forming material voxels having volume elements spatially quantizing volumes of material. 
     
     
         16 . A method as claimed in  claim 15 , wherein said material voxels are hierarchically composable and decomposable. 
     
     
         17 . A method as claimed in  claim 12 , wherein said x and y coordinates represent approximately 1 m distances with scalability. 
     
     
         18 . A method as claimed in  claim 12 , wherein said z coordinates range from a default height of about 20 km to a depth of about 5 km. 
     
     
         19 . A method as claimed in  claim 12 , wherein said voxels include data objects including points, lines and planes (which can be textures, images and video). 
     
     
         20 . A method as claimed in  claim 12 , wherein said voxels include volume data bounded by a spatial boundary. 
     
     
         21 . A method as claimed in  claim 12 , wherein said voxels include temporal time series elements. 
     
     
         22 . A method as claimed in  claim 12 , wherein said voxels include structures defining a probabilistic distribution of material within a voxel. 
     
     
         23 . A method as claimed in  claim 12 , further including a voxel editor for editing voxels.

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