IP Library Granted Patent US 12,331,479
Granted Patent B2
US 12,331,479 · App. 17/498,743 · Granted Jun 17, 2025

Systems, methods, and machines for automated screw anchor driving

Inventors: Steven Kraft (Albany, CA); Jack West (San Rafael, CA); Daniel Flanigan (Petaluma, CA)
Assignee: OJJO, INC.
E02D7/22E02D5/56E02D33/00E02D2600/10H02S20/10
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Quick Facts
Patent No.
US 12,331,479
App. No.
17/498,743
Granted
Jun 17, 2025
Kind
B2
Abstract

In a machine for driving screw anchors and other foundation components, a desired embedment depth is calculated based on a minimum required embedment depth, work point height and length of available upper leg sections. Once calculated, the machine automatically drives the screw anchor to the depth so that one of the available upper leg lengths will fit between the driven screw anchor and apex truss hardware. If uplift is detected during driving, the machine will add additional embedment depth. In-situ validation of driven screw anchors may be performed after the embedment depth is reached.

Claims (14)

1. A screw anchor driving machine comprising:

a movable mast, the mast comprising:

a first motor powering a drive train;

a rotary driver movable along the mast via the drive train;

a tool driver movable along the mast proximate to the rotary driver and operable to operate a tool through the rotary driver during a screw anchor driving operation; and

a second motor coupled to the tool driver for selectively moving the tool driver along the mast independent of the rotary driver;

a controller coupled to the first motor, the rotary driver, the tool driver, and the second motor to control the first motor, the rotary driver, the tool driver and the second motor to perform the automated screw anchor driving operation based on a control program stored in a memory of the controller; and

a plurality of sensors providing information to the controller during the automated screw anchor driving operation,

wherein the control program contains program code that causes the controller to calculate an upper leg length and an actual embedment depth based on a desired work point and minimum embedment depth, and to drive the screw anchor substantially to the actual embedment depth with at least the first motor, the rotary driver and the tool driver, based in part on information received from the plurality of sensors during the driving operation.

2. The machine according to claim 1 , wherein the control program contains program code that causes the controller to increase the actual embedment depth based on information received from at least one of the plurality of sensors during the driving operation.

3. The machine according to claim 1 , wherein the control program contains program code that causes the controller to perform a pull test on the screw anchor with the first motor after substantially reaching the desired embedment depth.

4. The machine according to claim 1 , wherein the control program contains program code that causes the controller to store information received from the plurality of sensors and a result of the pull test in association with a position of the screw anchor in the memory of the controller.

5. The machine according to claim 1 , wherein if the controller determines that the screw anchor fails the pull test, the control program contains program code that causes the controller to select a a second upper leg length from a list of available upper leg lengths based on the same work point and to calculate a revised actual embedment depth based on the selected second upper leg length.

6. The machine according to claim 5 , wherein the control program contains program code that causes the controller to drive the screw anchor substantially to the revised actual embedment depth.

Assignments (2)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Jul 31, 2026
From: OJJO, INC.
To: NEXTPOWER LLC
Reel/Frame 075480/0625 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Nov 6, 2023
From: KRAFT, STEVEN; WEST, JACK; FLANIGAN, DANIEL
To: OJJO, INC.
Reel/Frame 065471/0122 →
Continuity (3)
Continuation 17091523 · Nov 6, 2020
Provisional Application 62932929 · Nov 8, 2019
Related Publication 20220064893A1 · Mar 3, 2022
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Cited By (1)
US 12,655,596