Rotary kiln brick layer thermal monitoring systems
A system for monitoring brick in a rotary kiln includes an infrared sensor and a computing system configured to: obtain a digital model of a brick layer of a rotary kiln having a plurality of bricks, wherein the digital model of the brick layer is based on a measured brick thickness correlated with a measured infrared temperature for each brick; obtain infrared data of the rotary kiln with the at least one infrared imaging sensor; determine the measured infrared temperature for each brick; determine a brick thickness of a first brick in the brick layer of the rotary kiln based on the measured infrared temperature assigned to the first brick with the digital model of the brick layer; and provide the brick thickness of the first brick in a brick thickness report.
1. A system for monitoring brick in a rotary kiln, comprising:
at least one infrared imaging sensor; and
a computing system operably coupled with the at least one infrared imaging sensor, wherein the computing system is configured to:
obtain a digital model of a brick layer of a rotary kiln having a plurality of bricks, wherein the digital model of the brick layer is based on a measured brick thickness correlated with a measured infrared temperature for each brick;
obtain infrared data of the rotary kiln with the at least one infrared imaging sensor;
determine the measured infrared temperature for each brick;
determine a brick thickness of a first brick in the brick layer of the rotary kiln based on the measured infrared temperature assigned to the first brick with the digital model of the brick layer; and
provide the brick thickness of the first brick in a brick thickness report.
2. The system of claim 1 , wherein the computing system is configured to:
obtain the infrared data of the rotary kiln for a full rotation;
obtain a planar brick layer model of the brick layer of the rotary kiln, wherein the flat brick layer model is based on an opening and planarizing of a cylindrical digital model of the brick layer of the rotary kiln; and
map the infrared data to the planar brick layer model in order to obtain an updated planar brick layer model with an updated correlation between a measured infrared temperature and estimated brick thickness.
3. The system of claim 2 , wherein the digital model of the brick layer of the rotary kiln is based on a measured brick having a maximum thickness correlated to an initial steady state operational infrared temperature and having a minimum thickness correlated to a final steady state operational infrared temperature.
4. The system of claim 3 , wherein the digital model of the brick layer of the rotary kiln is based on a historical period of infrared temperature readings of the rotary kiln, with each rotation of the rotary kiln providing infrared temperature data for updating the planar brick layer model in real time.
5. The system of claim 2 , wherein the brick thickness report includes display data for displaying an image of the planar brick layer model on a display device, wherein the planar brick layer model image includes one or more first regions marked as having a first thickness range and one or more second regions marked as having a second thickness range that is different from the first thickness range.
6. The system of claim 5 , wherein the display data is for displaying a visual interface having the image of the planar brick layer model with a scale associated therewith, wherein the scale is coordinated with the marked one or more first regions and with the marked one or more second regions, wherein the scale provides a visual indicator of relative thickness of bricks.
7. The system of claim 6 , wherein display data for displaying the image of the planar brick layer model is a three dimensional planar model showing the one or more first regions being thicker than the one or more second regions.
8. The system of claim 6 , wherein the image of the planar brick layer model is updated in real time based on real time measured infrared temperature.
9. The system of claim 5 , wherein the display data is for displaying a visual interface having the image of the planar brick layer model with a scale associated therewith, wherein the scale is coordinated with the marked one or more first regions and with the marked one or more second regions, wherein the scale provides a visual indicator of rate of change of relative thickness of bricks for a defined time period.
10. The system of claim 9 , wherein the computing system is configured to:
obtain a first estimated brick thickness based on a first measurement of infrared temperature data at a first time point;
obtain a second estimated brick thickness based on a second measurement of infrared temperature data at a second time point; and
determine a rate of change of brick thickness from the first estimated brick thickness to the second estimated brick thickness between the first time point and the second time point.
11. The system of claim 5 , wherein the display data is for displaying a visual interface having the image of the planar brick layer model with a scale associated therewith, wherein the scale is coordinated with the marked one or more first regions and with the marked one or more second regions, wherein the scale provides a visual indicator of an estimated number of operation days of the rotary kiln based on the brick thickness and rate of change of relative thickness of bricks in the brick layer of the rotary kiln.
12. The system of claim 11 , wherein the computing system is configured to:
obtain an estimated minimum brick thickness for a plurality of bricks;
obtain a real time estimated brick thickness for the plurality of bricks;
determine a rate of change of brick thickness; and
estimate number of days until reaching the minimum brick thickness based on the real time estimated brick thickness and the rate of change of brick thickness.
13. The system of claim 1 , wherein the computing system is configured to:
(a) receiving a first infrared data signature for a rotary kiln;
(b) creating input vectors based on the infrared data signature;
(c) inputting the input vectors into a machine learning platform having the digital model of a brick layer of a rotary kiln;
(d) generating a predicted brick thickness of the first brick of the rotary kiln based on the input vectors by the machine learning platform, wherein the predicted brick thickness is specific to the first brick of the rotary kiln; and
(e) preparing a report that includes the predicted brick thickness for the first brick in the brick layer of the rotary kiln.
14. The system of claim 13 , wherein the computing system is configured to perform steps (a)-(e) for each brick in the brick layer of the rotary kiln.
15. The system of claim 1 , wherein the computing system is configured to:
obtain at least one baseline infrared image of a fixed field of view of the rotary kiln;
analyze all pixels in the fixed field of view of the at least one baseline infrared image for each pixel temperature;
determine an acceptable temperature range for each pixel in the fixed field of view;
obtain at least one subsequent infrared image of the fixed field of view of the rotary kiln;
determine the temperature for all pixels in the fixed field of view of the at least one subsequent infrared image;
determine whether the temperature for each pixel in the at least one subsequent infrared image is within the acceptable temperature range;
when the temperature is within the acceptable range, mark the pixel as normal;
when the temperature is greater than the acceptable range, mark the pixel as abnormal; and
generate an alert when a pixel is marked as abnormal and having a temperature outside of the acceptable temperature range in the fixed field of view.
16. The system of claim 15 , wherein the computing system is configured to:
compare the temperature of each pixel with the digital model to correlate pixel temperatures with brick thickness;
determine an estimated brick thickness based on the temperature of each pixel; and
generate and provide a report on the brick thickness of the bricks in the brick layer of the kiln.
17. The system of claim 15 , wherein the computing system is configured to:
map each pixel with a defined brick in the brick layer of the rotary kiln;
monitor a real time temperature of each brick;
determine rapid change in brick temperature of at least one brick compared to any change in brick temperature of surrounding brick, the brick temperature being above a brick temperature threshold; and
determine a defective brick or brick dropout at the at least one brick.
18. The system of claim 1 , further comprising a cooling system operably coupled with the computing system, wherein the computing system includes computer executable instructions for controlling the cooling system based on temperature data of the rotary kiln obtained from the at least one infrared imaging sensor, wherein the computing system is configured to:
determine at least one brick of the brick layer having a parameter beyond a parameter threshold, wherein the parameter threshold is absolute thickness of a brick, relative thickness of a brick, rate of change of thickness of a brick, or estimated production days remaining for the brick; and
control the cooling system to spray targeted water onto a surface of the rotary kiln associated with the at least one brick.
19. The system of claim 18 , wherein the cooling system includes:
a sprayer controller;
a water source;
a pressurizing pump fluidly coupled with the water source and operably coupled with the sprayer controller;
a water supply system fluidly coupled with the water supply and pressurized by the pressurizing pump;
at least one solenoid valve in the water supply system, wherein the solenoid valve is operably coupled with the sprayer controller; and
at least one nozzle at an end of a spray line of the water supply system, wherein the at least one solenoid valve controls water sprayed from the at least one nozzle.
20. The system of claim 19 , wherein the sprayer controller and/or imaging analysis computer is configured to:
determine a spraying protocol to cool the surface of the rotary kiln associated with the at least one brick;
implement the spraying protocol to cool the surface of the rotary kiln associated with the at least one brick;
obtain cooled temperature data for the surface of the rotary kiln associated with the at least one brick;
determine whether a cooled temperature is within or greater than the acceptable range;
when the cooled temperature is within the acceptable range, terminate the spraying protocol; and
when the cooled temperature is greater than the acceptable range, continue the spraying protocol.
21. The system of claim 19 , wherein the brick thickness report includes display data for displaying information regarding:
a reduction in the rate of change of brick thickness;
maintaining estimated production days remaining for a brick; or
increasing estimated production days remaining for a brick.
22. A method for monitoring brick in a rotary kiln, comprising:
providing a system having at least one infrared imaging sensor and a computing system operably coupled with the at least one infrared imaging sensor;
obtaining a digital model of a brick layer of a rotary kiln having a plurality of bricks, wherein the digital model of the brick layer is based on a measured brick thickness correlated with a measured infrared temperature for each brick;
obtaining infrared data of the rotary kiln with the at least one infrared imaging sensor;
determining the measured infrared temperature for each brick;
determining a brick thickness of a first brick in the brick layer of the rotary kiln based on the measured infrared temperature assigned to the first brick with the digital model of the brick layer; and
providing the brick thickness of the first brick in a brick thickness report.