System and methods for performing quality control on a construction composition

Patent metadata

Field	Value
Publication number	US-12528748-B2
Application number	US-202017429447-A
Country	US
Kind code	B2
Filing date	Feb 11, 2020
Priority date	Feb 11, 2019
Publication date	Jan 20, 2026
Grant date	Jan 20, 2026

Abstract

Example embodiments provide systems and methods for performing quality control of a construction composition. According to exemplary embodiments, a predictive model, artificial intelligence, machine learning algorithm, etc., may be trained using historical performance data and current deployment information. Based on a job specification that identifies various requirements for the construction composition and a set of available inputs, the AI/ML/model may output one or more formulations that meet or best approximate the requirements, and an initial batch of the construction composition may be produced. During or after deployment of the construction composition, information about the composition's performance may be received and applied to the AI/ML/model. The system may make real-time updates to the construction composition to improve the consistency or performance of the construction composition, within predefined acceptable change parameters. Optionally, the system may control mixing machinery to produce the updated construction composition.

First claim

What is claimed is:

1 . A non-transitory computer-readable medium storing instructions that, when executed by one or more processors, cause the one or more processors to:
receive a job specification for a construction composition, the job specification specifying one or more performance requirements for the construction composition comprising a construction mixture and a construction admixture, the construction admixture representing one or more components configured to be added to the construction mixture to change one or more properties of the construction mixture; receive an initial formulation for the construction composition; receive information pertaining to one or more of:
performance for the construction composition at a construction site at which the construction composition is deployed,
travel along a route from a facility for producing the construction composition to the construction site, or
ambient environmental conditions;
providing the job specification, the initial formulation, and the information to a predictive model; programmatically determining, using the predictive model, at least one modification to the construction composition to improve an alignment of the job specification to a deployed performance of the construction composition; and outputting the at least one modification.

2 . The medium of claim 1 , further storing instructions for controlling mixing machinery to automatically carry out the output at least one modification.

3 . The medium of claim 1 , wherein the construction admixture is selected from the group of an asphalt admixture, a concrete admixture, or a mortar admixture.

4 . The medium of claim 1 , wherein the job specification comprises one or more of a plastic or a hardened property of a construction composition.

5 . The medium of claim 1 , wherein the ambient environmental conditions are at the site or on the route.

6 . The medium of claim 1 , wherein the information is received from real-time sensor readings.

7 . The medium of claim 1 , wherein the at least one modification modifies the construction mixture.

8 . The medium of claim 1 , wherein the at least one modification modifies the construction admixture.

9 . The medium of claim 1 , wherein the predictive model is run for each batch of construction composition leaving the facility.

10 . The medium of claim 1 , wherein the at least one modification is limited by a predetermined boundary condition.

Assignees

• Construction Research & Technology Gmbh

Inventors

• Kayello Hamed
• Daczko Joseph
• Schlagbaum Tony
• Henson David C
• Seiler Paul Horst
• Bury Jeffrey

Classifications

• G06Q50/08 Primary

  Construction · CPC title

• B28C9/002

  Mixing systems, i.e. flow charts or diagrams; Making slurries; Involving methodical aspects; Involving pretreatment of ingredients; Involving packaging · CPC title

• B28C7/0418

  control systems therefor · CPC title

• G06N3/09

  Supervised learning · CPC title

• G06Q10/00

  Administration; Management · CPC title