Methods, materials and apparatus for mobile additive manufacturing of advanced structures and roadways
View Patent ↗The present disclosure provides various aspects for mobile and automated processing utilizing additive manufacturing and the methods for their utilization. In some examples, discrete material formats for use in an Additive Manufacturing Array are disclosed. Methods of using the additive manufacturing robot, discrete materials, and the roadways produced with the additive manufacturing robot are provided. A combined function Addibot, with Additive Manufacturing capabilities, cleaning capabilities, line painting capabilities and seal coating capabilities which may be used in concert with a camera equipped aerial drone for design and characterization function is described.
1. A method of repairing a roadway or a parking lot, the method comprising:
placing at least three alignment features upon the roadway or the parking lot, wherein the at least three alignment features are visibly distinct from the roadway or the parking lot;
surveying the roadway or the parking lot, wherein the surveying comprises scanning a surface of the roadway or the parking lot for defects and for the at least three alignment features and recording location information along with scan data;
processing a datafile resulting from the surveying to determine a first model of locations to repair, wherein the first model of locations to repair is calibrated to the location information of the at least three alignment features;
moving a mobile additive manufacturing robot upon of the roadway or the parking lot, wherein a movement is based upon the first model of locations to repair;
preparing the surface of the roadway or the parking lot for a repair process with the mobile additive manufacturing robot; and
repairing the defects in the surface of the roadway or the parking lot with the mobile additive manufacturing robot.
2. The method of claim 1 wherein the surveying is performed at least in part utilizing an aerial drone.
3. The method of claim 1 wherein the surveying is performed at least in part by one or more mobile additive robots each equipped with a vision system to scan the surface as the mobile additive robots move over it.
4. The method of claim 1 wherein the survey datafile is communicated to a remote server for processing to form the first model of locations to repair.
5. The method of claim 4 wherein the remote server processes the survey datafile utilizing artificial intelligence algorithms.
6. The method of claim 5 where in the remote server comprises at least a first AI processing chip to process the survey datafile.
7. The method of claim 3 wherein at least a first mobile additive robot comprises an AI processing chip to process data received from the vision system.
8. The method of claim 1 wherein the repairing of the defects comprises depositing a sealing material into a crack feature.
9. The method of claim 1 wherein the repairing of the defects comprises depositing a seal coating material upon the surface.
10. The method of claim 1 wherein the repairing of the defects comprises depositing a plurality of discrete material elements upon the surface.
11. The method of claim 10 wherein the plurality of discrete material elements comprise:
an inner core;
a first coating layer comprising an adhesive, wherein the first coating layer surrounds the inner core; and
a second solid coating layer surrounding the first coating layer, wherein the second solid coating layer prevents the plurality of discrete material elements from binding to surrounding material while the plurality of discrete material elements are in a material storage hopper.
12. The method of claim 1 further comprising surveying the roadway or the parking lot to analyze a movement of traffic.
13. The method of claim 12 where the analyzing of the movement of traffic provides input to a creation of a second model, wherein the second model comprises a location of line features upon the surface of the roadway or the parking lot.
14. The method of claim 13 wherein an artificial intelligence algorithm is utilized in the creation of the second model.
15. The method of claim 13 wherein the location of line features is derived by optimizing a flow of traffic.
16. The method of claim 15 wherein the line features are applied to the surface by spray painting.
17. The method of claim 15 wherein the line features are applied to the surface by heating a thermoplastic substrate of a line feature.
18. The method of claim 15 wherein the line features comprise an electrically conductive material.
19. The method of claim 15 wherein the optimized flow of traffic is used to generate a third model, wherein the third model defines locations to add strengthening material to the surface of the roadway or the parking lot.
20. The method of claim 19 further comprising:
adding the strengthening material to the surface of the roadway or the parking lot; and
covering the deposited strengthening material with an asphalt layer.