IP Library Granted Patent US 12,722,326
Granted Patent B2
US 12,722,326 · App. 17/544,590 · Granted Sep 1, 2026

System and method for monitoring fresh concrete being handled in a concrete mixer using trained data processing engines

Inventors: Jerome Chapdelaine (Saint-Nicolas, CA); Denis Beaupre (Sainte-Catherine-de-la-Jacques, CA)
Assignee: Command Alkon Incorporated
B28C5/422B28C5/4213B28C7/024B28C7/026
View Patent ↗
Loading inventors, assignments & file history…
Monitor This Case
Get email alerts when status or documents change.
Order Certified Copies
Most orders are placed with the USPTO same day — all within 24 business hours.
Order via The Patent Place →
Pre-filled with this patent's details
Quick Facts
Patent No.
US 12,722,326
App. No.
17/544,590
Granted
Sep 1, 2026
Kind
B2
Abstract

A system for a concrete mixer having a drum receiving fresh concrete therein. The system generally has: a sensor measuring a set of measurand values indicative of a measurand associated with at least one of the fresh concrete, the drum and components of the concrete mixer; and a controller communicatively coupled to the sensor, the controller performing the steps of: accessing the set of measurand values generated by the sensor; using a trained data processing engine stored on the non-transitory memory, at least one of determining a property value indicative of a property of the fresh concrete, determining a parameter value indicative of a parameter of the drum, and determining that the set of measurand values are indicative of some operating conditions of the concrete mixer; and outputting a signal based on said determining.

Claims (22)

1 . A method for monitoring fresh concrete being handled in a drum of concrete mixer, the method comprising:

establishing a wireless communication link between a first controller remotely positioned relative to the concrete mixer and a second controller coupled to a sensor associated with the concrete mixer;

the first controller having a processor and a non-transitory memory having stored thereon instructions that when executed by the processor perform the steps of:

the first controller receiving, from the second controller via the wireless communication link, a set of measurand values generated by the sensor, the measurand values being associated with at least one of the fresh concrete, the drum and components of the concrete mixer;

using a trained data processing engine stored on the non-transitory memory, the first controller at least one of determining a property value indicative of a property of the fresh concrete, determining a parameter value indicative of a parameter of the drum, and determining that the set of measurand values are indicative of operating conditions of the concrete mixer; and

the first controller transmitting a signal indicative of said determining to the second controller, the second controller displaying, on a display interface coupled thereto, at least one of said property value, said parameter value and said operating conditions based on said signal;

wherein, using a value formatting engine stored on the non-transitory memory of the first controller or on a non-transitory memory of the second controller, reformatting the measurand values of the set upon determination that a format of the measurand values of the set is unsatisfactory.

2 . The method of claim 1 wherein the property is a property selected in a group consisting of: viscosity, yield, slump, density and air content.

3 . The method of claim 1 wherein the parameter is selected in a group consisting of: drum cleanliness and drum speed.

4 . The method of claim 1 wherein said determining includes determining that the set of measurand values are indicative of abnormal operating conditions of at least one of the sensor, the drum and the concrete mixer.

5 . The method of claim 1 , wherein said transmitting the signal includes transmitting the signal from the first controller to the second controller via the wireless communication link.

6 . The method of claim 1 , wherein said determining is performed at a first moment in time, and said transmitting the signal is performed at a second moment in time later than the first moment in time.

7 . The method of claim 1 , wherein set of measurand values includes a set of probe pressure values indicative of pressure exerted on a rheological probe by the fresh concrete as the drum rotates.

8 . The method of claim 1 , wherein the set of measurand values includes a set of drum speed values indicative of a rotation speed of the drum as measured by a drum speed sensor associated with the concrete mixer, said determining being further based on said set of drum speed values.

9 . The method of claim 1 , wherein the set of measurand values includes a set of hydraulic pressure values indicative of pressure exerted on a hydraulic fluid used to drive rotation of the drum as measured by a hydraulic pressure sensor associated with the concrete mixer, said determining being further based on said set of hydraulic pressure values.

10 . The method of claim 1 , wherein the set of measurand values includes a set of temperature values indicative of temperature of the fresh concrete inside the drum as measured by a temperature sensor associated with the concrete mixer, said determining being further based on said set of temperature values.

11 . The method of claim 1 , wherein said determining is further based on a data set measured by at least another sensor.

12 . The method of claim 1 , wherein the trained data processing engine is configured to associate property values to corresponding measurand values.

13 . The method of claim 1 , further comprising generating an alert upon comparing the determined property value of the fresh concrete to a corresponding property value threshold, the alert being indicative of abnormal operating conditions.

14 . The method of claim 13 , wherein said generating includes at least one of transmitting the alert to an external network and storing the alert in an accessible memory system.

15 . The method of claim 13 , further comprising triggering maintenance of at least one of the sensor, the drum and the concrete mixer based on the alert.

16 . The method of claim 1 , wherein said determining performed by the first controller further involves executing at least one of: one or more artificial neural network(s), one or more support vector machine(s), one or more capsule-based network(s), one or more linear discriminant analysis module(s), and one or more classification tree module(s).

Assignments (1)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Dec 21, 2021
From: CHAPDELAINE, JEROME; BEAUPRE, DENIS
To: COMMAND ALKON INCORPORATED
Reel/Frame 058442/0117 →
Continuity (3)
Continuation 17332298 · May 27, 2021
Provisional Application 63184986 · May 6, 2021
Related Publication 20220355509A1 · Nov 10, 2022
References Cited (55)
US 6484079B2 · Buckelew · 2002 [cited by examiner]
US 7722243B2 · Schumacher · 2010 [cited by examiner]
US 8118473B2 · Compton · 2012 [cited by examiner]
US 8746954B2 · Cooley · 2014 [cited by examiner]
US 8764272B2 · Hazrati · 2014 [cited by examiner]
US 9199391B2 · Beaupre · 2015 [cited by examiner]
US 9702863B2 · Beaupré · 2017 [cited by examiner]
US 9915140B2 · Pelletier · 2018 [cited by examiner]
US 10041928B2 · Berman · 2018 [cited by examiner]
US 10052794B2 · Beaupré · 2018 [cited by examiner]
US 10414067B2 · Datema · 2019 [cited by examiner]
US 10520410B2 · Beaupre · 2019 [cited by examiner]
US 10989643B2 · Beaupre · 2021 [cited by examiner]
US 11041794B2 · Beaupre · 2021 [cited by examiner]
US 11123896B2 · Beaupre · 2021 [cited by applicant]
US 11312039B1 · Chapdelaine · 2022 [cited by examiner]
US 11679529B2 · Datema · 2023 [cited by examiner]
US 12510530B2 · Newton · 2025 [cited by examiner]
US 12528749B2 · Tregger · 2026 [cited by examiner]
US 20080144424A1 · Schumacher · 2008 [cited by examiner]
US 20090171595A1 · Bonilla Benegas · 2009 [cited by examiner]
US 20110029134A1 · Hazrati et al. · 2011 [cited by applicant]
US 20140104066A1 · Jordan · 2014 [cited by examiner]
US 20150298351A1 · Beaupré · 2015 [cited by examiner]
US 20150355160A1 · Berman · 2015 [cited by examiner]
US 20170080600A1 · Dickerman · 2017 [cited by examiner]
US 20170108421A1 · Beaupre · 2017 [cited by examiner]
US 20170173822A1 · Beaupre · 2017 [cited by examiner]
US 20170361492A1 · Datema · 2017 [cited by examiner]
US 20180100791A9 · Beaupre · 2018 [cited by examiner]
US 20180319040A1 · Beaupre · 2018 [cited by examiner]
US 20190204197A1 · Beaupre · 2019 [cited by examiner]
US 20190242802A1 · Beaupre · 2019 [cited by examiner]
US 20190344475A1 · Datema · 2019 [cited by examiner]
US 20200078987A1 · Beaupre · 2020 [cited by examiner]
US 20200225258A1 · Beaupre · 2020 [cited by examiner]
US 20200230842A1 · Datema · 2020 [cited by examiner]
US 20200232966A1 · Beaupre · 2020 [cited by examiner]
US 20200282597A1 · Beaupre · 2020 [cited by examiner]
US 20200402619A1 · Tregger · 2020 [cited by examiner]
US 20210001765A1 · Beaupre · 2021 [cited by examiner]
US 20210031408A1 · Beaupre · 2021 [cited by examiner]
US 20210055195A1 · Beaupre · 2021 [cited by examiner]
US 20210187786A1 · Beaupre · 2021 [cited by examiner]
US 20220063133A1 · Van Dixhorn · 2022 [cited by examiner]
US 20220355509A1 · Chapdelaine · 2022 [cited by examiner]
US 20230264156A1 · Pereira · 2023 [cited by examiner]
US 20240025078A1 · Datema · 2024 [cited by examiner]
US 20250058498A1 · Datema · 2025 [cited by examiner]
US 20250387948A1 · Steckling · 2025 [cited by examiner]
US 20260070262A1 · Davies · 2026 [cited by examiner]
US 20260086044A1 · Ghods · 2026 [cited by examiner]
JP 59016531A · 1984 [cited by examiner]
WO WO2017072223A2 · 2017 [cited by examiner]
International Search Report and Written Opinion received for PCT Patent Application No. PCT/US2022/027641, mailed May 1, 2026, 2022, 8 pages. [cited by applicant]