CONVEYOR IDLER MONITORING APPARATUS, SYSTEMS, AND METHODS
20260097905 ยท 2026-04-09
Inventors
Cpc classification
B65G39/09
PERFORMING OPERATIONS; TRANSPORTING
B65G43/02
PERFORMING OPERATIONS; TRANSPORTING
International classification
Abstract
Conveyor idler monitoring apparatus, systems and methods are provided. In some embodiments, one or more sensors (e.g., temperature sensors, load sensors, etc.) are supported by the shaft of a conveyor idler. In some embodiments, one or more sensors are in data communication with a wireless transmitter. In some embodiments, a power generator driven by rotation of the idler is in electrical communication with one or more sensors and/or a wireless transmitter. In some embodiments, idler monitoring systems are in data communication with a conveyor monitoring system and/or operational monitoring system.
Claims
1. A conveyor monitoring system comprising: a plurality of conveyor idlers, each conveyor idler including a shaft configured to be supported on a conveyor, a cylinder rollingly supported on the shaft and configured to at least partially support a conveyor belt, and a monitoring system at least partially supported on the shaft, the monitoring system including a temperature sensor, a vibration sensor mounted to the shaft, and a wireless transmitter in data communication with the temperature sensor and the vibration sensor, the monitoring system configured to generate idler-related measurements including temperature data from the temperature sensor and vibration data from the vibration sensor; a communication gateway in wireless data communication with the wireless transmitters of the plurality of conveyor idlers; and an application server in data communication with the communication gateway, the application server configured to receive the idler-related measurements from the plurality of conveyor idlers and to apply artificial intelligence to the idler-related measurements including the vibration data to identify which idler among the plurality of idlers will fail first based on the vibration data and on the AI-processed temperature data.
2. The conveyor monitoring system of claim 1, wherein the temperature sensor includes a bearing temperature sensor at least partially received in a cavity in a radially outer surface of the shaft adjacent to a bearing supporting the cylinder on the shaft.
3. The conveyor monitoring system of claim 1, wherein the monitoring system further includes a cylinder temperature sensor configured to detect a temperature of an inner surface of the cylinder.
4. The conveyor monitoring system of claim 3, wherein the cylinder temperature sensor comprises an infrared temperature sensor oriented toward the inner surface of the cylinder.
5. The conveyor monitoring system of claim 1, wherein the vibration sensor comprises a noise sensor in contact with a bearing supporting the cylinder on the shaft.
6. The conveyor monitoring system of claim 1, wherein the monitoring system further includes a rotation sensor configured to detect a rotational speed of the cylinder.
7. The conveyor monitoring system of claim 6, wherein the application server is further configured to compare the rotational speed of the cylinder to a belt speed to estimate a current cylinder diameter and a cylinder wear percentage.
8. The conveyor monitoring system of claim 1, wherein the monitoring system further includes an energy generator configured to generate power from rotation of the cylinder about the shaft, the energy generator comprising an inner ring supported on the shaft and an outer ring supported in the cylinder, with a plurality of magnets in one of the inner ring or the outer ring and a plurality of electromagnetic coils in the other.
9. The conveyor monitoring system of claim 1, wherein the artificial intelligence comprises machine learning or a neural network.
10. The conveyor monitoring system of claim 2, wherein the vibration sensor comprises a noise sensor in contact with a bearing supporting the cylinder on the shaft.
11. A method of monitoring and predicting failure in a conveyor system, the method comprising: providing a plurality of conveyor idlers on the conveyor system, each conveyor idler including a shaft supported on the conveyor system, a cylinder rollingly supported on the shaft and at least partially supporting a conveyor belt, and a monitoring system at least partially supported on the shaft, the monitoring system including a temperature sensor, a vibration sensor mounted to the shaft, and a wireless transmitter; generating, with the monitoring system of each conveyor idler, idler-related measurements including temperature data from the temperature sensor and vibration data from the vibration sensor; transmitting the idler-related measurements wirelessly from the wireless transmitters to a communication gateway; receiving the idler-related measurements at an application server in data communication with the communication gateway; and applying, at the application server, artificial intelligence to the idler-related measurements including the vibration data to identify which idler among the plurality of idlers will fail first based on the temperature data and AI-processed vibration data.
12. The method of claim 11, further comprising detecting, with a cylinder temperature sensor of the monitoring system, a temperature of an inner surface of the cylinder, wherein the idler-related measurements include the temperature of the inner surface of the cylinder.
13. The method of claim 11, further comprising detecting, with a rotation sensor of the monitoring system, a rotational speed of the cylinder, wherein the idler-related measurements include the rotational speed of the cylinder.
14. The method of claim 13, further comprising comparing, at the application server, the rotational speed of the cylinder to a belt speed to estimate a current cylinder diameter and a cylinder wear percentage.
15. The method of claim 11, wherein the temperature sensor includes a bearing temperature sensor at least partially received in a cavity in a radially outer surface of the shaft adjacent to a bearing supporting the cylinder on the shaft.
16. A method of predicting failure of conveyor idlers in a conveyor monitoring system, the method comprising: receiving, at an application server, idler-related measurements from a plurality of conveyor idlers via a communication gateway, each conveyor idler including a shaft supported on a conveyor, a cylinder rollingly supported on the shaft and configured to at least partially support a conveyor belt, and a monitoring system at least partially supported on the shaft and including a temperature sensor, a vibration sensor mounted to the shaft, and a wireless transmitter configured to transmit the idler-related measurements including temperature data from the temperature sensor and vibration data from the vibration sensor; processing the idler-related measurements at the application server; and applying an artificial intelligence at the application server to the processed idler-related measurements including the vibration data to identify which idler among the plurality of idlers will fail first based on the temperature data AI-processed vibration data.
17. The method of claim 16, wherein the idler-related measurements further include a rotational speed of the cylinder detected by a rotation sensor of the monitoring system.
18. The method of claim 17, further comprising determining, using the artificial intelligence, an existing idler failure based on a comparison of the rotational speed of the cylinder to a belt speed.
19. The method of claim 16, wherein the idler-related measurements further include a bearing temperature from a bearing temperature sensor at least partially received in a cavity in the shaft adjacent to a bearing.
20. The method of claim 16, further comprising displaying, on a user interface in data communication with the application server, an indication of which idler among the plurality of idlers will fail first.
Description
DESCRIPTION
[0016] Referring to the drawings, wherein like reference numerals designate identical or corresponding parts throughout the several views,
[0017] The idler 100 optionally includes end discs 140-1, 140-2 disposed at opposing ends of the shaft 200 and mounted to opposing ends 220-1, 220-2 of the cylinder 130. Each end disc is optionally supported on an associated bearing 160 (e.g., ball bearing). A seal assembly 150 is optionally disposed outboard of each bearing assembly to at least partially prevent external liquid and/or debris from entering an interior volume of the idler 100.
[0018] Referring to
[0019] Referring to
[0020] In some embodiments, one or more cavities 240 are provided adjacent to (e.g., radially inward of) the bearing 160. In some embodiments, each cavity 240 is provided in a radially outer surface of the shaft 200. In some embodiments, a temperature sensor 635 (e.g., resistance temperature detector, thermocouple, etc.) is at least partially received in one or more cavities 240.
[0021] Referring to
[0022] Referring to
[0023] Referring to
[0024] As illustrated in
[0025] One or more load sensors 720 optionally comprise strain gauges mounted directly to the shaft 200. In some embodiments the load sensors 720 are mounted to a curved (e.g., cylindrical) surface of the shaft; in other embodiments, one or more load sensors are mounted to a machined flat in the shaft and/or a flat surface supported on the shaft. In some embodiments, a first load cell 720a is mounted at a first location on the shaft 200 and a second load cell 720b is mounted at a second location on the opposite side of the shaft. In some embodiments, load cells 720a, 720b are mounted at the same or similar distance from an end of the shaft, such as at or adjacent to the transverse center of the shaft).
[0026] One or more vibration sensors 725 are configured to detect vibration of the idler (e.g., of the bearing 160) and generate a corresponding signal and/or corresponding data to a processor and/or to the transmitter. In some embodiments, the vibration sensor 725 comprises a noise sensor (e.g., an electret microphone). In some embodiments, one or more vibration sensors 725 are in contact with a bearing 160.
[0027] One or more cylinder temperature sensors 735 are optionally configured and positioned to detect the temperature of an inner surface of cylinder 130. In some embodiments, the sensor 735 comprises an infrared temperature sensor optionally oriented toward the inner surface of cylinder 130. In some embodiments, the sensor 735 is at least partially housed in housing 820 and an opening 821 is optionally provided in the housing 820 between the sensor 735 and the inner surface of cylinder 130.
[0028] One or more ambient air temperature sensors 740 (resistance temperature detector, etc.) are optionally configured and positioned to detect the temperature of ambient air inside the idler.
[0029] One or more angle sensors 750 (e.g., accelerometers, etc.) are optionally configured and positioned to generate a signal related to an orientation of the idler (e.g., the idler shaft) relative to horizontal. It should be appreciated that in troughing idler assembly embodiments, the idlers installed in the left, right and center of the assembly may have differing orientations which may be used to identify where the idler is installed on the assembly.
[0030] One or more energy generators 1000 are optionally configured and positioned to generate power by the rotation of cylinder 130 about the shaft 200. Turning to
[0031] One or more rotation sensors are optionally provided to detect a rotational speed and/or number of rotations of the cylinder 130. In some embodiments, a signal generated by the energy generator 1000 is used to determine the speed and/or number of rotations of cylinder 130 such that the energy generator 1000 may be considered a rotation sensor. In other embodiments, a different or additional rotation sensor (e.g., Hall effect sensor, etc.) is provided.
[0032] In some embodiments, the rotational speed of the cylinder 130 is compared to a belt speed (e.g., measured or assumed belt speed) in order to estimate a current cylinder diameter and/or current cylinder wear percentage. For example, in some embodiments an adjustment factor based on the comparison between the cylinder rotational speed and belt speed may be applied to a nominal cylinder diameter in order to determine a current cylinder diameter. A percentage wear of the cylinder 130 may be determined by dividing the current cylinder diameter by the nominal cylinder diameter. The calculation steps described herein may be performed by a processor connected to the idler or remote from the idler.
[0033] Referring to
[0034] In some embodiments, the application server 960 (or other system or device) receives one or more idler-related measurements described herein (e.g., one or more of the measurements carried out by system 700). The application server 960 optionally comprises or makes use of an algorithm (e.g., machine learning algorithm, artificial intelligence algorithm, neural network algorithm, deep learning algorithm, JSON interface, etc.) to predict an idler-related diagnostic (e.g., maintenance interval, failure event, failure event time, first component to fail, etc.) based on the idler-related measurements based on measurements. In some embodiments, the application server identifies an existing idler failure based on one or more idler-related measurements (e.g., temperature, idler rotation speed relative to belt speed or nominal idler rotation speed, shaft load, etc.).
[0035] In some embodiments, a registration device 920 (e.g., including a scanner, camera, etc.) is used to register the idler (e.g., by scanning or taking an image of the identifier 810). In some embodiments, the registration device 920 includes a global positioning (GPS) system or device and optionally identifies the location of each idler upon registration. The registration device is optionally in data communication with the system 900 (e.g., via the gateway, web interface, or other component).
[0036] Referring to
[0037] In some embodiments, the monitoring systems described herein are configured to continuously monitor sensor output and continuously report sensor output or processed sensor output. In some embodiments, the monitoring systems described herein are configured to continuously monitor sensor output but only to report sensor output or processed sensor output at scheduled intervals (e.g., 10 seconds, 30 seconds, 1 minute, 5 minutes, 10 minutes, 30 minutes, 1 hour, 3 hours, 1 day, etc.). In some embodiments, the monitoring systems described herein are configured to continuously monitor sensor output but only to report sensor output or processed sensor output when one or more sensor outputs or processed sensor outputs exceed a threshold (e.g., threshold temperature, threshold vibration level, etc.). In some embodiments, the monitoring systems described herein are configured to only power on and monitor sensor output at scheduled intervals and to report sensor outputs or processed sensor outputs at such intervals or at different intervals.
[0038] Referring to
[0039] In some embodiments, the user interface displays a predicted idler-related diagnostic (e.g., maintenance interval, failure event, failure event time, first component to fail, etc.) based on the idler-related measurements. In some embodiments, the user interface displays an indication (e.g., alarm) corresponding to an existing idler failure determined based on one or more idler-related measurements (e.g., temperature, idler rotation speed relative to belt speed or nominal idler rotation speed, shaft load, etc.).
[0040] Ranges recited herein are intended to inclusively recite all values within the range provided in addition to the maximum and minimum range values. Headings used herein are simply for convenience of the reader and are not intended to be understood as limiting or used for any other purpose.
[0041] Although various embodiments have been described above, the details and features of the disclosed embodiments are not intended to be limiting, as many variations and modifications will be readily apparent to those of skill in the art. Accordingly, the scope of the present disclosure is intended to be interpreted broadly and to include all variations and modifications within the scope and spirit of the appended claims and their equivalents.