Temperature monitoring method for rotating part of grain conveyor and related equipment

Abstract

The invention discloses a temperature monitoring method for a rotating part of a grain conveyor and related equipment, and relates to the field of temperature monitoring. By adopting the technical scheme, the temperature monitoring system acquires the bearing temperature data under the no-load working condition and the full-load working condition, and draws the bearing temperature change thermal distribution diagram based on the bearing temperature rise data, so that the temperature distribution characteristics of the bearing can be comprehensively mastered. An angle sensor and a temperature sensor array are arranged at the position with the maximum temperature gradient, a temperature monitoring system can obtain the corresponding relation between the temperature and the angle in the bearing rotating process in real time, and bearing rotating temperature characteristic parameters such as the angle temperature difference value, the temperature fluctuation amplitude and the temperature change rate are calculated based on the corresponding relation. The temperature monitoring system compares the bearing rotation temperature characteristic parameter with a preset temperature early warning threshold value, and the abnormal operation type of the bearing can be accurately recognized.

Description

Technical Field

[0001] This application relates to the field of temperature monitoring, and in particular, to a temperature monitoring method and related equipment for rotating components of a grain conveyor. Background Art

[0002] With the continuous expansion of the scale of the grain industry, the operating stability of grain conveyors faces more stringent requirements. Grain conveyors are key equipment in the process of grain storage and transportation, and their core rotating component bearings directly affect the safe operation of grain conveyors. Therefore, bearing temperature monitoring has become an important means to ensure the safe operation of grain conveyors.

[0003] Currently, the bearing temperature monitoring method for grain conveyors mainly installs a single-point temperature sensor on the surface of the bearing housing. The monitoring system compares the collected temperature data with an alarm threshold, and when the temperature data exceeds the alarm threshold, an alarm signal is sent to prompt the equipment management personnel to conduct inspections and maintenance in a timely manner. This monitoring method is widely used in practical applications and plays a certain early warning role in timely detecting bearing failures.

[0004] However, under the working conditions of high load and long-term operation of grain conveyors, the circumferential temperature distribution of the bearing housing shows non-uniform characteristics. The data collected by the single-point temperature monitoring method is difficult to comprehensively reflect the actual operating state of the bearing, resulting in the inability to detect temperature anomalies in a timely manner. Summary of the Invention

[0005] This application provides a temperature monitoring method and related equipment for rotating components of a grain conveyor to improve the accuracy of temperature monitoring.

[0006] In a first aspect, the present application provides a method for monitoring the temperature of a rotating component of a grain conveyor, which is applied to a temperature monitoring system. The method includes: obtaining the first bearing temperature data within a preset duration under the no-load condition of the conveyor and the second bearing temperature data within a preset duration under the full-load condition of the conveyor, so as to determine the bearing temperature rise data according to the first bearing temperature data and the second bearing temperature data; drawing a thermal distribution map of the bearing temperature change based on the bearing temperature rise data; determining the monitoring position with the largest temperature gradient from the thermal distribution map of the bearing temperature change, and arranging an angle sensor and a temperature sensor array at the monitoring position, where the temperature sensor array includes a plurality of temperature sensors evenly distributed along the circumferential direction of the bearing housing; collecting the bearing rotation angle through the angle sensor and collecting the bearing temperature data corresponding to the bearing rotation angle through the temperature sensor array, so as to generate a bearing temperature-angle correspondence curve; calculating the bearing rotation temperature characteristic parameters according to the bearing temperature-angle correspondence curve, where the bearing rotation temperature characteristic parameters include the angle temperature difference, the temperature fluctuation amplitude, and the temperature change rate; comparing the bearing rotation temperature characteristic parameters with a preset temperature warning threshold to obtain the abnormal bearing operation type; triggering a differential control strategy for the conveyor according to the abnormal bearing operation type and sending the abnormal bearing operation type to the control terminal.

[0007] By adopting the above technical solution, the temperature monitoring system collects the bearing temperature data under the no-load condition and the full-load condition, and draws a thermal distribution map of the bearing temperature change based on the bearing temperature rise data, so as to comprehensively master the temperature distribution characteristics of the bearing. An angle sensor and a temperature sensor array are arranged at the position with the largest temperature gradient. The temperature monitoring system can obtain the correspondence between the temperature and the angle during the bearing rotation in real time, and calculate the bearing rotation temperature characteristic parameters such as the angle temperature difference, the temperature fluctuation amplitude, and the temperature change rate based on this correspondence. The temperature monitoring system compares the bearing rotation temperature characteristic parameters with the preset temperature warning threshold to accurately identify the abnormal bearing operation type. This multi-dimensional temperature characteristic analysis method overcomes the defect that the traditional single-point temperature measurement method is difficult to comprehensively reflect the bearing operation state, can detect the bearing fault hidden danger early, and can intervene in time through the differential control strategy, effectively improving the operation safety and reliability of the grain conveyor.

[0008] In combination with some embodiments of the first aspect, in some embodiments, the bearing rotation temperature characteristic parameters are calculated according to the bearing temperature-angle correspondence curve, and the bearing rotation temperature characteristic parameters include the angular temperature difference, the temperature fluctuation amplitude and the temperature change rate, specifically including: based on the bearing temperature-angle correspondence curve, equally spaced sampling is performed within a 360-degree circumferential range to obtain multiple temperature sampling points, and the 360-degree circumferential range is equally divided to obtain multiple sectors; the absolute value of the temperature difference between two adjacent temperature sampling points is calculated, and the maximum absolute value of the temperature difference is determined as the temperature fluctuation amplitude; Fourier transform is performed on multiple temperature sampling points to obtain the spectral characteristics of the temperature fluctuation; the first amplitude of the fundamental frequency component and the second amplitude of the second harmonic component are extracted from the spectral characteristics; the highest temperature point and the lowest temperature point are determined from the bearing temperature-angle correspondence curve, and the temperature change rate is calculated according to a preset temperature change rate formula; the average temperature in each sector is calculated; the absolute value of the temperature difference between two adjacent sectors is calculated, and the maximum absolute value of the temperature difference is determined as the angular temperature difference.

[0009] By adopting the above technical solution, the temperature monitoring system performs equal-interval sampling within the 360-degree circumferential range based on the bearing temperature-angle correspondence curve, and divides the 360-degree circumferential range into equal parts, thus achieving quantitative characterization of the bearing temperature field. This systematic and comprehensive feature extraction method effectively improves the accuracy of bearing abnormal state identification and provides reliable data support for early warning and accurate diagnosis of bearing faults.

[0010] In combination with some embodiments of the first aspect, in some embodiments, the bearing rotation temperature characteristic parameters are compared with the preset temperature warning threshold to obtain the bearing operation abnormality type, specifically including: if the angle temperature difference is less than or equal to the preset angle temperature difference threshold, and the temperature fluctuation amplitude is less than or equal to the preset temperature fluctuation amplitude threshold, and the temperature change rate is less than or equal to the preset temperature change rate threshold, it is determined that the bearing is in normal operation; if the angle temperature difference is greater than the preset angle temperature difference threshold, and the temperature fluctuation amplitude is less than the preset temperature fluctuation amplitude threshold, and the temperature change rate is less than or equal to the preset temperature change rate threshold, it is determined that the bearing has an overload operation abnormality; if the temperature fluctuation amplitude is greater than the preset temperature fluctuation amplitude threshold, and the temperature change rate is greater than the preset temperature change rate threshold, and the angle temperature difference is less than or equal to the preset angle temperature difference threshold, it is determined that the bearing has a poor lubrication abnormality; if the angle temperature difference is greater than the preset angle temperature difference threshold, and the temperature fluctuation amplitude is greater than the preset temperature fluctuation amplitude threshold, and the temperature change rate is greater than the preset temperature change rate threshold, it is determined that the bearing has a wear abnormality.

[0011] By adopting the above technical solution, the temperature monitoring system establishes discrimination criteria for operating states such as normal operation, overload operation, poor lubrication, and abnormal wear of the bearing based on the combined characteristics of the angular temperature difference, the temperature fluctuation amplitude, and the temperature change rate. This multi-feature fusion fault diagnosis method overcomes the problem of easy misjudgment of single features, improves the reliability and accuracy of fault diagnosis, provides effective guidance for formulating targeted maintenance measures, and can significantly reduce the risk of the grain conveyor shutdown caused by bearing failures.

[0012] In combination with some embodiments of the first aspect, in some embodiments, after the step of collecting the bearing rotation angle by the angle sensor and collecting the bearing temperature data corresponding to the bearing rotation angle by the temperature sensor array to generate the bearing temperature-angle correspondence curve, the method further includes: determining the target bearing angle corresponding to the maximum bearing temperature according to the bearing temperature-angle correspondence curve; comparing the target bearing angle with the maximum stress point of the bearing force analysis to obtain an angle deviation; if the angle deviation is greater than a preset angle threshold, determining that the bearing has eccentric loading or misalignment.

[0013] By adopting the above technical solution, the temperature monitoring system compares the target bearing angle corresponding to the maximum bearing temperature with the maximum stress point of the bearing force analysis, and establishes a bearing eccentric loading / misalignment diagnosis method based on temperature-stress correlation analysis. Under normal working conditions, the maximum temperature point should basically coincide with the maximum stress point. When the angle deviation exceeds the preset angle threshold, it indicates that the bearing has eccentric loading or misalignment problems. This diagnosis method combines temperature characteristics with mechanical analysis, can accurately identify abnormal installation positions of the bearing, and compared with the traditional single temperature monitoring method, the diagnosis result of this method is more reliable and provides an accurate basis for bearing position correction.

[0014] In combination with some embodiments of the first aspect, in some embodiments, before the step of comparing the target bearing angle with the maximum stress point of the bearing force analysis to obtain an angle deviation, the method further includes: obtaining the bearing rotation speed data; calculating the bearing rotation speed change rate and the bearing acceleration based on the bearing rotation speed data; when the bearing rotation speed change rate is greater than a preset bearing rotation speed change rate threshold and the bearing acceleration is greater than a preset bearing acceleration threshold, determining that the bearing is in an unsteady operation stage; when the bearing rotation speed change rate is less than or equal to the preset bearing rotation speed change rate threshold, the bearing acceleration is less than or equal to the preset bearing acceleration threshold, and the continuous duration is greater than a preset minimum stable duration, determining that the bearing is in a steady operation stage.

[0015] By adopting the above technical solutions, the temperature monitoring system monitors the bearing rotation speed change rate and the bearing acceleration in real time, and establishes a discrimination criterion for the bearing in the steady state / non-steady state operation stage. Only after the bearing runs stably for a certain period of time, the off-load / misalignment diagnosis is carried out, which avoids misjudgment under transient working conditions and improves the accuracy and reliability of bearing condition identification.

[0016] Combined with some embodiments of the first aspect, in some embodiments, after the step of determining that there is off-load or misalignment of the bearing if the angle deviation is greater than a preset angle threshold, the method further includes: reducing the running speed of the conveyor to a preset safe speed, and controlling the centering device to automatically correct the bearing position; recording the bearing position correction parameters.

[0017] By adopting the above technical solutions, after detecting the off-load or misalignment of the bearing, the temperature monitoring system immediately takes measures of speed reduction and automatic correction to effectively reduce the damage risk caused by off-load / misalignment. The automatic correction function of the centering device avoids manual intervention, improves the correction efficiency and accuracy. At the same time, the temperature monitoring system records the correction parameters, which helps to accumulate equipment maintenance experience and provides data support for subsequent preventive maintenance.

[0018] Combined with some embodiments of the first aspect, in some embodiments, before the step of comparing the bearing rotation temperature characteristic parameters with a preset temperature warning threshold to obtain the abnormal type of bearing operation, the method further includes: obtaining the grain carrying weight on the conveyor; determining the preset temperature warning threshold corresponding to the grain carrying weight based on a preset load-temperature warning correspondence table.

[0019] By adopting the above technical solutions, the temperature monitoring system dynamically adjusts the preset temperature warning threshold according to the grain carrying weight. Since the temperature characteristics of the bearing are different under different loads, using a fixed threshold is likely to cause false alarms or missed alarms. By establishing a mapping relationship through the load-temperature warning correspondence table, the intelligent adjustment of the warning threshold can be realized, which improves the accuracy of the warning. This monitoring method considering the actual working conditions overcomes the limitations of the traditional fixed threshold scheme, makes the temperature monitoring more in line with the actual operation requirements, and effectively improves the reliability of the fault warning.

[0020] In a second aspect, an embodiment of the present application provides a temperature monitoring system, which includes: one or more processors and a memory; the memory is coupled to the one or more processors, and the memory is used to store computer program code, and the computer program code includes computer instructions, and the one or more processors call the computer instructions to enable the temperature monitoring system to execute the method described in the first aspect and any possible implementation manner in the first aspect.

[0021] In a third aspect, an embodiment of the present application provides a computer program product containing instructions. When the computer program product runs on a temperature monitoring system, the temperature monitoring system is caused to execute the method described in the first aspect and any possible implementation manner in the first aspect.

[0022] In a fourth aspect, an embodiment of the present application provides a computer-readable storage medium including instructions. When the instructions run on a temperature monitoring system, the temperature monitoring system is caused to execute the method described in the first aspect and any possible implementation manner in the first aspect.

[0023] It can be understood that the temperature monitoring system provided in the second aspect, the computer program product provided in the third aspect, and the computer storage medium provided in the fourth aspect are all used to execute the method provided in the embodiments of the present application. Therefore, the beneficial effects that can be achieved can refer to the beneficial effects in the corresponding method, and will not be elaborated here.

[0024] One or more technical solutions provided in the embodiments of the present application have at least the following technical effects or advantages: 1. By adopting the above technical solution, the temperature monitoring system collects bearing temperature data under no-load and full-load conditions, and draws a thermal distribution map of bearing temperature changes based on the bearing temperature rise data, so as to comprehensively master the temperature distribution characteristics of the bearing. Angle sensors and temperature sensor arrays are arranged at the location with the largest temperature gradient. The temperature monitoring system can obtain the corresponding relationship between temperature and angle during the rotation of the bearing in real time, and calculate bearing rotation temperature characteristic parameters such as angle temperature difference, temperature fluctuation amplitude, and temperature change rate based on this corresponding relationship. The temperature monitoring system compares the bearing rotation temperature characteristic parameters with the preset temperature warning threshold to accurately identify the abnormal operation type of the bearing. This multi-dimensional temperature characteristic analysis method overcomes the defect that the traditional single-point temperature measurement method is difficult to comprehensively reflect the bearing operation state, can detect bearing fault hidden dangers early, and can be intervened in time through a differential control strategy, effectively improving the operation safety and reliability of the grain conveyor.

[0025] 2. By adopting the above technical solution, the temperature monitoring system performs equally spaced sampling within the 360-degree circumferential range based on the bearing temperature-angle corresponding relationship curve, and equally divides the 360-degree circumferential range, realizing the quantitative characterization of the bearing temperature field. This systematic and comprehensive feature extraction method effectively improves the accuracy of bearing abnormal state identification, providing reliable data support for realizing early warning and accurate diagnosis of bearing faults.

[0026] 3. By adopting the above technical solution, the temperature monitoring system dynamically adjusts the preset temperature warning threshold according to the grain carrying weight. Since the temperature characteristics of the bearings vary under different loadings, using a fixed threshold is likely to cause false alarms or missed alarms. By establishing a mapping relationship through the load-temperature warning correspondence table, intelligent adjustment of the warning threshold can be achieved, improving the accuracy of the warning. This monitoring method considering the actual working conditions overcomes the limitations of the traditional fixed-threshold scheme, making the temperature monitoring more in line with the actual operation requirements and effectively enhancing the reliability of the fault warning. BRIEF DESCRIPTION OF THE DRAWINGS

[0027] Figure 1 is a flowchart showing a method for monitoring the temperature of a rotating component of a grain conveyor in an embodiment of the present application; Figure 2 is another flowchart showing a method for monitoring the temperature of a rotating component of a grain conveyor in an embodiment of the present application; Figure 3 is a schematic structural diagram of a physical device of a temperature monitoring system in an embodiment of the present application. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0028] The terms used in the following embodiments of the present application are only for the purpose of describing specific embodiments and are not intended to limit the present application. As used in the specification of the present application, the singular forms "a", "an", "the above", "the", and "this" are also intended to include the plural forms unless the context clearly indicates otherwise. It should also be understood that the term "and / or" used in the present application refers to any or all possible combinations including one or more of the listed items.

[0029] Hereinafter, the terms "first" and "second" are only used for descriptive purposes and cannot be construed as implying or suggesting relative importance or implicitly indicating the quantity of the indicated technical features. Thus, the features defined with "first" and "second" may explicitly or implicitly include one or more of such features. In the description of the embodiments of the present application, unless otherwise stated, the meaning of "a plurality" is two or more.

[0030] The following describes the process of the method provided in this embodiment. Please refer to Figure 1 , which is a flowchart showing a method for monitoring the temperature of a rotating component of a grain conveyor in an embodiment of the present application.

[0031] S101. Obtain the first bearing temperature data within a preset duration under the no-load condition of the conveyor and the second bearing temperature data within a preset duration under the full-load condition of the conveyor, so as to determine the bearing temperature rise data according to the first bearing temperature data and the second bearing temperature data; Among them, the no-load condition is used to represent the operating state of the conveyor when there is no grain loaded, such as when the conveyor is in the trial operation stage with an empty bin; the full-load condition is used to represent the operating state of the conveyor when the loaded grain reaches the rated load, such as when the weight of the loaded grain on the conveyor reaches more than 90% of the design load; the preset duration refers to the pre-set data acquisition time interval, usually 30 minutes to 2 hours; the bearing temperature data refers to the sequence of bearing surface temperature values collected by the temperature sensor at the preset sampling frequency, and the sampling frequency is usually 1Hz - 10Hz; the bearing temperature rise data refers to the difference between the bearing temperature under the full-load condition and the bearing temperature under the no-load condition.

[0032] The temperature monitoring system executes this step when the conveyor is first put into use or restarted after maintenance. Specifically, first, when the conveyor is running without load, the temperature monitoring system continuously collects the first bearing temperature data within the preset duration at the preset sampling frequency through the temperature sensors pre-installed on the surface of the bearing housing; then, after the conveyor is loaded with grain up to the rated load, the temperature monitoring system collects the second bearing temperature data using the same sampling parameters; finally, the temperature monitoring system subtracts the two sets of temperature data point by point in time to obtain a sequence of bearing temperature rise data reflecting the influence of the load.

[0033] S102. Draw a thermal distribution map of the bearing temperature change based on the bearing temperature rise data; Among them, the thermal distribution map of the bearing temperature change is a two-dimensional visualization graph that uses different shades of color or gray levels to represent the magnitude of the bearing temperature rise. For example, red is used to represent the area with a higher bearing temperature rise, and blue is used to represent the area with a lower bearing temperature rise.

[0034] The temperature monitoring system executes this step immediately after obtaining the bearing temperature rise data. Specifically, first, the temperature monitoring system unfolds the surface of the bearing housing into a two-dimensional plane and establishes a two-dimensional grid with the axial position and circumferential angle as the coordinate axes; then, the temperature monitoring system maps the bearing temperature rise data to the corresponding grid points according to the acquisition positions, and performs interpolation calculation on the data between the grid points to obtain a continuous temperature field; finally, the temperature monitoring system assigns corresponding color or gray values to each grid point according to the magnitude of the temperature value to generate a thermal map that intuitively reflects the temperature distribution characteristics.

[0035] S103. Determine the monitoring position with the largest temperature gradient from the thermal distribution map of the bearing temperature change, and set an angle sensor and an array of temperature sensors at the monitoring position. The array of temperature sensors includes multiple temperature sensors evenly distributed along the circumference of the bearing housing; Among them, the monitoring position refers to the surface area of the bearing housing where the temperature gradient is the largest; the angle sensor refers to a sensing device used to measure the rotation angle of the bearing, such as an encoder, a Hall sensor, etc.; the temperature sensor array refers to a temperature measurement unit group composed of multiple temperature sensors, such as thermocouples, thermistors, etc.; circumferential uniform distribution means that the temperature sensors are arranged at equal intervals in the circumferential direction of the bearing housing.

[0036] The temperature monitoring system executes this step after completing the drawing of the thermal distribution map of the bearing temperature change. Specifically, first, the temperature monitoring system determines the magnitude of the temperature gradient at each grid point through the thermal distribution map of the bearing temperature change, and takes the surface area of the bearing housing with the largest temperature gradient as the monitoring position; then, an angle sensor is installed at the monitoring position to collect the instantaneous rotation angle of the bearing, and at the same time, a temperature sensor is installed every 30° or 45° along the circumference of the bearing housing surface at the monitoring position to form an annular temperature sensor array; finally, the signal lines of each sensor are connected to the data acquisition module by the temperature monitoring system.

[0037] S104. Collect the rotation angle of the bearing through the angle sensor, and collect the bearing temperature data corresponding to the rotation angle of the bearing through the temperature sensor array to generate a bearing temperature-angle correspondence curve. Among them, the bearing rotation angle refers to the rotation angle of the bearing relative to the initial position, which is used to represent the instantaneous position of the bearing; the bearing temperature-angle correspondence curve refers to a two-dimensional curve graph drawn with the bearing rotation angle as the abscissa and the bearing temperature data as the ordinate, which is used to characterize the circumferential change characteristics of the temperature distribution; the collection of the bearing rotation angle and the bearing temperature data is kept consistent in time, and usually triggered by a unified sampling clock signal.

[0038] This step is executed after the installation and commissioning of the sensors are completed. Specifically, first, the temperature monitoring system sets the sampling frequencies of the angle sensor and the temperature sensor array to ensure the synchronization of the data collection times of the two types of sensors; then, during the rotation of the bearing, the angle sensor continuously outputs an angle signal within the range of 0-360 degrees, and at the same time, the temperature sensor array outputs the real-time temperature values of each measurement point; then, the temperature monitoring system pairs and stores the angle value and the corresponding temperature value at each sampling moment; finally, a bearing temperature-angle correspondence curve is drawn with the bearing rotation angle as the independent variable and the bearing temperature data as the dependent variable, and this bearing temperature-angle correspondence curve can intuitively reflect the circumferential distribution law of the bearing temperature field.

[0039] S105. Calculate the bearing rotation temperature characteristic parameters according to the bearing temperature-angle correspondence curve. The bearing rotation temperature characteristic parameters include the angle temperature difference, the temperature fluctuation amplitude, and the temperature change rate. Among them, the angular temperature difference refers to the maximum value of the temperature difference between different angular positions, which is used to characterize the non-uniformity of the temperature distribution; the temperature fluctuation amplitude refers to the fluctuation range of the temperature curve, which represents the difference between the highest temperature and the lowest temperature; the temperature change rate refers to the temperature change amount per unit angle, which is used to describe the severity of the temperature change.

[0040] The temperature monitoring system executes this step after obtaining the bearing temperature-angle correspondence curve. Specifically, first, the temperature monitoring system preprocesses the curve data, including noise filtering and data smoothing; then, the temperature monitoring system extracts temperature data points at fixed angular intervals (such as 10 degrees) within the range of 360 degrees; next, the temperature monitoring system calculates the absolute value of the temperature difference between adjacent temperature data points, and takes the maximum value as the angular temperature difference; at the same time, the temperature monitoring system determines the highest point and the lowest point of the bearing temperature-angle correspondence curve, and calculates their temperature difference as the temperature fluctuation amplitude; finally, the temperature monitoring system calculates the temperature change rate of each point using the central difference method.

[0041] Optionally, generally, according to the bearing temperature-angle correspondence curve, calculating the bearing rotation temperature characteristic parameters, including the angular temperature difference, the temperature fluctuation amplitude, and the temperature change rate, can be achieved in the following way, which will not be elaborated here: Based on the bearing temperature-angle correspondence curve, perform equally spaced sampling within the 360-degree circumferential range to obtain multiple temperature sampling points, and equally divide the 360-degree circumferential range to obtain multiple sectors; calculate the absolute value of the temperature difference between adjacent two temperature sampling points, and determine the maximum absolute temperature difference as the temperature fluctuation amplitude; perform Fourier transform on multiple temperature sampling points to obtain the spectral characteristics of the temperature fluctuation; extract the first amplitude of the fundamental frequency component and the second amplitude of the second harmonic component from the spectral characteristics; determine the highest temperature point and the lowest temperature point from the bearing temperature-angle correspondence curve, and calculate the temperature change rate according to the preset temperature change rate formula; calculate the average temperature within each sector; calculate the absolute value of the temperature difference between adjacent two sectors, and determine the maximum absolute temperature difference as the angular temperature difference.

[0042] Suppose the following bearing temperature data corresponding to the bearing rotation angle is collected within the range of 360 degrees (simplified to one data point every 90 degrees): (1) Calculation of angular temperature difference: The maximum temperature difference: 3.0 °C; Angular temperature difference = 3.0 °C; (2) Calculation of temperature fluctuation amplitude: The highest temperature: 48.5 °C (at the 270° position); The lowest temperature: 45.5 °C (at the 0° and 360° positions); Amplitude of temperature fluctuation = 48.5°C - 45.5°C = 3.0°C; (3)Calculation of temperature change rate: The above parameters reflect the temperature distribution characteristics of the bearing during operation: The angular temperature difference of 3.0°C indicates a certain non-uniformity in the circumferential temperature distribution of the bearing; The amplitude of temperature fluctuation of 3.0°C reflects the overall temperature fluctuation range of the bearing; The maximum temperature change rate of 0.033°C / degree indicates that the temperature change is relatively gentle.

[0043] S106. Compare the characteristic parameters of the bearing rotation temperature with the preset temperature warning threshold to obtain the abnormal type of bearing operation; Among them, the preset temperature warning threshold refers to the critical value of the temperature characteristic parameters set in advance, which is used to judge whether the bearing operation state is abnormal; the abnormal type of bearing operation refers to the operation states under different fault modes, including overloaded operation, poor lubrication, abnormal wear, etc.

[0044] The temperature monitoring system executes this step after calculating the characteristic parameters of the bearing rotation temperature. Specifically, first, the temperature monitoring system compares the calculated angular temperature difference, amplitude of temperature fluctuation, and temperature change rate with their respective warning thresholds; then, according to the overlimit combination of different parameters, the temperature monitoring system judges the specific abnormal type of the bearing. For example, when the angular temperature difference is overlimit while other parameters are normal, it is judged as an overloaded operation abnormality; when the amplitude of temperature fluctuation and the change rate are overlimit while the angular temperature difference is normal, it is judged as a poor lubrication abnormality; when all three parameters are overlimit, it is judged as an abnormal wear. Through this multi-parameter joint judgment method, the temperature monitoring system can accurately identify different types of bearing faults.

[0045] Optionally, generally, comparing the bearing rotation temperature characteristic parameter with the preset temperature warning threshold to obtain the bearing operation abnormal type can be achieved in the following ways, which will not be elaborated here: If the angular temperature difference is less than or equal to the preset angular temperature difference threshold, and the temperature fluctuation amplitude is less than or equal to the preset temperature fluctuation amplitude threshold, and the temperature change rate is less than or equal to the preset temperature change rate threshold, it is determined that the bearing is in normal operation; If the angular temperature difference is greater than the preset angular temperature difference threshold, and the temperature fluctuation amplitude is less than the preset temperature fluctuation amplitude threshold, and the temperature change rate is less than or equal to the preset temperature change rate threshold, it is determined that the bearing has an overload operation abnormality; If the temperature fluctuation amplitude is greater than the preset temperature fluctuation amplitude threshold, and the temperature change rate is greater than the preset temperature change rate threshold, and the angular temperature difference is less than or equal to the preset angular temperature difference threshold, it is determined that the bearing has a lubrication deficiency abnormality; If the angular temperature difference is greater than the preset angular temperature difference threshold, and the temperature fluctuation amplitude is greater than the preset temperature fluctuation amplitude threshold, and the temperature change rate is greater than the preset temperature change rate threshold, it is determined that the bearing has a wear abnormality.

[0046] S107. Trigger the conveyor differential control strategy according to the bearing operation abnormal type, and send the bearing operation abnormal type to the control terminal.

[0047] Among them, the differential control strategy refers to the corresponding control measures taken for different abnormal types, which are used to handle operation failures in a timely manner; the control terminal refers to a human-computer interaction device for display and operation, such as an industrial control computer, a handheld terminal, etc.; sending the bearing operation abnormal type to the control terminal refers to the process of sending the abnormal type and related data to relevant personnel.

[0048] The temperature monitoring system immediately executes this step after determining the bearing operation abnormal type. Specifically, first, the temperature monitoring system selects the corresponding control strategy according to the detected bearing operation abnormal type. For example, for overload abnormality, automatically reduce the conveyor operation speed and limit the feeding amount; for lubrication deficiency, start the automatic oiling device and increase the lubrication frequency; for wear abnormality, operate at a reduced speed and issue a warning for bearing replacement. Then, the temperature monitoring system sends information such as the abnormal type, fault location, and characteristic parameters to the control terminal, and at the same time pushes them to the maintenance personnel via text message or APP. Finally, the temperature monitoring system records the time, type, and treatment measures of the abnormality for subsequent maintenance analysis.

[0049] By adopting the above technical solution, the temperature monitoring system collects bearing temperature data under no-load and full-load conditions, and draws a thermal distribution map of bearing temperature changes based on the bearing temperature rise data, so as to comprehensively master the temperature distribution characteristics of the bearing. Angle sensors and temperature sensor arrays are arranged at the location with the largest temperature gradient. The temperature monitoring system can obtain the corresponding relationship between temperature and angle during the rotation of the bearing in real time, and calculate bearing rotation temperature characteristic parameters such as angle temperature difference, temperature fluctuation amplitude, and temperature change rate based on this corresponding relationship. The temperature monitoring system compares the bearing rotation temperature characteristic parameters with the preset temperature warning threshold to accurately identify the abnormal types of bearing operation. This multi-dimensional temperature characteristic analysis method overcomes the defect that the traditional single-point temperature measurement method is difficult to comprehensively reflect the bearing operation state, can detect bearing fault hidden dangers early, and can intervene in time through a differential control strategy, effectively improving the operation safety and reliability of the grain conveyor.

[0050] The following further describes the more specific process of the method provided in this embodiment. Please refer to Figure 2 , which is another process schematic diagram of the temperature monitoring method for the rotating components of the grain conveyor in the embodiment of the present application.

[0051] After step S104, the following steps may also be executed, or may not be executed, and are not limited here: S201. Determine the target bearing angle corresponding to the maximum bearing temperature according to the bearing temperature-angle corresponding relationship curve; Specifically, taking the example in step S105 as an example, it is assumed that the bearing temperature data corresponding to the following bearing rotation angles (simplified to one data point every 90 degrees) are collected within 360 degrees: It can be seen that the maximum bearing temperature is 48.5 °C, and the target bearing angle corresponding to the maximum bearing temperature is 270 °.

[0052] S202. Obtain bearing speed data; Among them, the bearing speed data refers to the number of rotations of the bearing per unit time, usually in revolutions per minute (rpm). Specifically, first, the temperature monitoring system checks the working state of the speed sensor to ensure normal signal output; then, the temperature monitoring system continuously collects bearing speed data at a preset sampling period (such as 10 ms); then, the temperature monitoring system preprocesses the bearing speed data, including noise filtering and signal smoothing.

[0053] S203. Calculate the bearing speed change rate and bearing acceleration based on the bearing speed data; Among them, the bearing speed change rate refers to the change amount of the bearing speed per unit time, which is used to represent the change trend of the bearing speed; the bearing acceleration refers to the speed of change of the bearing speed, which is used to represent the change rate of the bearing speed change rate.

[0054] The temperature monitoring system executes this step after obtaining the bearing rotation speed data. Specifically, first, the temperature monitoring system segments the bearing rotation speed data by selecting an appropriate time window (such as 1 second); then, the temperature monitoring system calculates the bearing rotation speed change rate at each time point using the central difference method, that is, the difference between two adjacent rotation speed values divided by the time interval; next, the temperature monitoring system performs a difference operation on the bearing rotation speed change rate again to obtain the bearing acceleration; finally, the temperature monitoring system performs a moving average filter on the calculation result to eliminate the influence of instantaneous fluctuations.

[0055] S204. When the bearing rotation speed change rate is greater than the preset bearing rotation speed change rate threshold and the bearing acceleration is greater than the preset bearing acceleration threshold, it is determined that the bearing is in the non-steady-state operation stage; Among them, the preset bearing rotation speed change rate threshold refers to the preset allowable range of the bearing rotation speed change rate, which is used to judge whether the bearing rotation speed changes violently; the preset bearing acceleration threshold refers to the preset allowable range of the bearing acceleration, which is used to judge whether the bearing rotation speed changes stably; the non-steady-state operation stage refers to the state where the bearing rotation speed is in a rapid change state, such as during startup, shutdown, or sudden changes in working conditions.

[0056] The temperature monitoring system executes this step after completing the calculation of the rotation speed characteristic parameters. Specifically, first, the temperature monitoring system compares the calculated bearing rotation speed change rate with the preset bearing rotation speed change rate threshold (such as ±5 rpm / s), and at the same time compares the bearing acceleration with the preset bearing acceleration threshold (such as ±0.5 rpm / s²). When both parameters exceed their respective thresholds, the temperature monitoring system determines that the bearing is in the non-steady-state operation stage. At this time, the temperature monitoring system will mark the corresponding time period and pause the temperature characteristic analysis in this stage to avoid misjudgment caused by the transient process.

[0057] S205. When the bearing rotation speed change rate is less than or equal to the preset bearing rotation speed change rate threshold, the bearing acceleration is less than or equal to the preset bearing acceleration threshold, and the continuous duration is greater than the preset minimum stable duration, it is determined that the bearing is in the steady-state operation stage; Among them, the preset minimum stable duration refers to the shortest continuous time required to determine the steady-state operation of the bearing, which is used to ensure the stability of the operation state; the steady-state operation stage refers to the state where the bearing continuously operates at a constant rotation speed.

[0058] The temperature monitoring system executes this step after calculating the rotational speed characteristic parameters. Specifically, first, the temperature monitoring system continuously monitors whether the bearing rotational speed change rate and the bearing acceleration simultaneously meet the threshold conditions; then, the temperature monitoring system starts a timer to record the duration of meeting the threshold conditions; when the duration exceeds the preset minimum stable duration (such as 30 seconds), the temperature monitoring system marks the current operating stage as the bearing being in a steady-state operating stage. At this time, the temperature monitoring system begins to perform normal temperature characteristic analysis and fault diagnosis.

[0059] S206. Compare the target bearing angle with the maximum stress point of the bearing force analysis to obtain an angle deviation; Among them, the maximum stress point refers to the position angle with the maximum stress in the theoretical bearing force analysis, which is used to represent the force characteristics under normal operating conditions; the angle deviation refers to the angular difference between the actual highest temperature point and the theoretical maximum stress point; the bearing force analysis refers to the theoretical calculation of the bearing stress distribution based on factors such as load distribution and motion characteristics.

[0060] The temperature monitoring system executes this step when the bearing is in a steady-state operating stage. Specifically, first, the temperature monitoring system calls the preset force analysis model according to the bearing type, installation position, and working load to calculate the angle of the theoretical maximum stress point; then, the temperature monitoring system calculates the minimum included angle between the two angles as the angle deviation based on the target bearing angle determined in step S201 and the maximum stress point of the bearing force analysis.

[0061] S207. If the angle deviation is greater than the preset angle threshold, it is determined that the bearing has eccentric loading or misalignment; Among them, the preset angle threshold refers to the critical value of the angle deviation for determining abnormal bearing installation, usually set within the range of 15 - 30 degrees; eccentric loading means that the load distribution borne by the bearing is uneven; misalignment means that the geometric center of the bearing does not coincide with the rotation axis.

[0062] The temperature monitoring system executes this step after calculating the angle deviation. Specifically, first, the temperature monitoring system compares the angle deviation with the preset angle threshold (such as 20 degrees). When the angle deviation is greater than the preset angle threshold, the temperature monitoring system further analyzes the characteristic pattern of the temperature distribution: if the temperature field shows high temperature on one side, it is determined as eccentric loading abnormality; if the temperature field shows symmetric high temperature, it is determined as misalignment abnormality.

[0063] S208. Reduce the operating speed of the conveyor to the preset safe speed and control the centering device to perform automatic correction of the bearing position; Among them, the preset safety speed refers to the preset safe operating speed of the conveyor, which is used to reduce the operating risk under abnormal conditions; the centering device refers to an automated actuator for adjusting the bearing position, such as an electric push rod, a hydraulic cylinder, etc.; automatic correction refers to the process in which the temperature monitoring system automatically controls the centering device to adjust the bearing position.

[0064] The temperature monitoring system executes this step after confirming that there is an abnormal bearing installation. Specifically, first, the temperature monitoring system reduces the operating speed of the conveyor to the preset safety speed (usually 50% of the rated speed) through the frequency converter; then, the temperature monitoring system selects the corresponding correction strategy according to the type of abnormality: for offloading abnormality, control the centering device to adjust the radial position of the bearing; for misalignment abnormality, control the centering device to adjust the radial and axial positions of the bearing; during the correction process, the temperature monitoring system monitors the change of the temperature distribution in real time, and when the angular deviation is reduced below the preset angle threshold, the correction action is completed.

[0065] S209. Record the bearing position correction parameters; Among them, the bearing position correction parameters refer to the key data during the bearing position adjustment process, including the adjustment direction, displacement amount, etc.

[0066] The temperature monitoring system executes this step after completing the automatic correction of the bearing position. Specifically, first, the temperature monitoring records the time, type of abnormality, and initial angular deviation of this correction; then, the temperature monitoring system saves the action parameters of the centering device, including the adjustment amount and adjustment sequence in each direction; then, the temperature monitoring system stores the temperature distribution characteristics and the change of angular deviation before and after the correction into the database.

[0067] S210. Calculate the bearing rotation temperature characteristic parameters according to the bearing temperature-angle correspondence curve. The bearing rotation temperature characteristic parameters include the angular temperature difference, temperature fluctuation amplitude, and temperature change rate; Specifically, refer to step S105, which will not be elaborated here.

[0068] S211. Obtain the grain carrying weight on the conveyor; Among them, the grain carrying weight refers to the mass of the grain currently loaded on the conveyor, usually in tons. The temperature monitoring system continuously executes this step during the operation of the conveyor. Specifically, first, the temperature monitoring system checks the working status and calibration parameters of the weight detection device. The weight detection device is a sensing device for measuring the grain weight, such as a load cell, a level gauge, etc. Then, the temperature monitoring system continuously collects the weight signal at a preset sampling period (such as 1 second) to obtain the grain carrying weight on the conveyor.

[0069] S212. Determine the preset temperature warning threshold corresponding to the grain carrying weight based on the preset load-temperature warning correspondence table; Among them, the preset load-temperature warning correspondence table is used to represent different temperature warning thresholds corresponding to different load ranges, so as to realize the dynamic adjustment of the temperature warning threshold.

[0070] The temperature monitoring system executes this step after obtaining the grain carrying weight. Specifically, first, the temperature monitoring system looks up the preset load-temperature warning correspondence table, which usually divides the 0-100% rated load into multiple ranges (such as every 10% as a range). Then, the temperature monitoring system determines the load range to which the current grain carrying weight belongs. If the grain carrying weight exactly falls on the boundary point of the load range, the corresponding temperature warning threshold is directly adopted; if the grain carrying weight falls between two load ranges, the linear interpolation method is used to calculate the actual temperature warning threshold. Finally, the temperature warning threshold calculated by the temperature monitoring system is respectively applied to the abnormal judgment of the angular temperature difference, the temperature fluctuation amplitude, and the temperature change rate.

[0071] S213. Compare the bearing rotation temperature characteristic parameters with the preset temperature warning threshold to obtain the abnormal type of bearing operation; Specifically, reference can be made to step S106, which will not be elaborated here.

[0072] S214. Trigger the differential control strategy of the conveyor according to the abnormal type of bearing operation, and send the abnormal type of bearing operation to the control terminal.

[0073] Specifically, reference can be made to step S107, which will not be elaborated here.

[0074] The temperature monitoring system in the embodiment of the present invention application will be described from the perspective of hardware processing. Please refer to Figure 3 , which is a schematic structural diagram of an entity device of the temperature monitoring system in the embodiment of the present application.

[0075] It should be noted that Figure 3 The structure of the temperature monitoring system shown is only an example, and should not bring any limitations to the functions and usage scopes of the embodiments of the present invention.

[0076] As Figure 3 shown, the temperature monitoring system includes a CPU 301, which can perform various appropriate actions and processes according to the program stored in the read-only memory ROM 302 or the program loaded from the storage part 308 into the random access memory RAM 303, such as executing the method described in the above embodiments. In the RAM 303, various programs and data required for system operation are also stored. The CPU 301, ROM 302, and RAM 303 are connected to each other through a bus 304. The I / O interface 305 is also connected to the bus 304.

[0077] The following components are connected to the I / O interface 305: an input section 306 including an audio input device, a button switch, etc.; an output section 307 including a liquid crystal display (LCD), an audio output device, an indicator light, etc.; a storage section 308 including a hard disk, etc.; and a communication section 309 including a network interface card such as a LAN (Local Area Network) card, a modem, etc. The communication section 309 performs communication processing via a network such as the Internet. The drive 310 is also connected to the I / O interface 305 as required. A removable medium 311 such as a magnetic disk, an optical disk, a magneto-optical disk, a semiconductor memory, etc. is installed on the drive 310 as required so that a computer program read therefrom can be installed into the storage section 308 as required.

[0078] Specifically, according to an embodiment of the present invention, the process described above with reference to the flowchart can be implemented as a computer software program. For example, an embodiment of the present invention includes a computer program product that includes a computer program carried on a computer-readable medium, and the computer program includes a computer program for performing the method shown in the flowchart. In such an embodiment, the computer program can be downloaded and installed from a network through the communication section 309 and / or installed from the removable medium 311. When the computer program is executed by the CPU 301, various functions defined in the present invention are executed.

[0079] It should be noted that specific examples of the computer-readable storage medium may include, but are not limited to: an electrical connection having one or more wires, a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM), a flash memory, an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the above. In the present invention, the computer-readable storage medium can be any tangible medium that contains or stores a program, and the program can be used by or in combination with an instruction execution system, apparatus, or device.

[0080] The flowcharts and block diagrams in the accompanying drawings illustrate the possible architectures, functions, and operations of systems, methods, and computer program products according to various embodiments of the present invention. Among them, each block in the flowchart or block diagram may represent a module, a program segment, or a part of code, and the above-mentioned module, program segment, or part of code contains one or more executable instructions for implementing the specified logical function. It should also be noted that in some alternative implementations, the functions marked in the blocks may occur in a different order than that marked in the accompanying drawings.

[0081] Specifically, the temperature monitoring system of this embodiment includes a processor and a memory. A computer program is stored on the memory. When the computer program is executed by the processor, the temperature monitoring method for the rotating components of the grain conveyor provided in the above-mentioned embodiment is implemented.

[0082] On the other hand, the present invention also provides a computer-readable storage medium. This storage medium may be included in the temperature monitoring system described in the above-mentioned embodiment; or it may exist separately and not be assembled into the temperature monitoring system. The above storage medium carries one or more computer programs. When the above one or more computer programs are executed by a processor of the temperature monitoring system, the temperature monitoring system implements the temperature monitoring method for the rotating components of the grain conveyor provided in the above-mentioned embodiment.

[0083] As described above, the above embodiments are only used to illustrate the technical solutions of the present application, rather than to limit them; although the present application has been described in detail with reference to the foregoing embodiments, those of ordinary skill in the art should understand that: they can still modify the technical solutions recorded in the foregoing embodiments, or perform equivalent replacements on some of the technical features; and these modifications or replacements do not make the essence of the corresponding technical solutions deviate from the scope of the technical solutions of the various embodiments of the present application.

[0084] As used in the above embodiments, depending on the context, the term "when..." can be interpreted to mean "if...", "after...", "in response to determining...", or "in response to detecting...". Similarly, depending on the context, the phrase "when determining..." or "if detecting (the stated condition or event)" can be interpreted to mean "if determining...", "in response to determining...", "when detecting (the stated condition or event)", or "in response to detecting (the stated condition or event)".

[0085] Those of ordinary skill in the art can understand that all or part of the processes in the methods of the above embodiments can be completed by relevant hardware instructed by a computer program. This program can be stored in a computer-readable storage medium. When this program is executed, it can include the processes of the above method embodiments. The foregoing storage medium includes: various media such as ROM, random access memory (RAM), magnetic disk, or optical disc that can store program codes.

Claims

1. A method for monitoring the temperature of a rotating part of a grain conveyor, characterized in that: Applied to a temperature monitoring system, the method comprises: Acquire the first bearing temperature data within a preset time period under the no-load condition of the conveyor and the second bearing temperature data within the preset time period under the full-load condition of the conveyor, so as to determine the bearing temperature rise data according to the first bearing temperature data and the second bearing temperature data; Draw a thermal distribution diagram of bearing temperature changes based on the bearing temperature rise data; Determine a monitoring position with the largest temperature gradient from the bearing temperature change thermal distribution diagram, wherein an angle sensor and a temperature sensor array are arranged at the monitoring position, wherein the temperature sensor array includes a plurality of temperature sensors uniformly distributed along the circumference of the bearing seat; The angle sensor is used to collect the bearing rotation angle, and the temperature sensor array is used to collect the bearing temperature data corresponding to the bearing rotation angle, so as to generate a bearing temperature-angle correspondence curve; According to the bearing temperature-angle correspondence curve, the bearing rotation temperature characteristic parameters are calculated, and the bearing rotation temperature characteristic parameters include angle temperature difference, temperature fluctuation amplitude and temperature change rate; Comparing the bearing rotation temperature characteristic parameter with a preset temperature warning threshold to obtain the bearing operation abnormality type; The conveyor differentiated control strategy is triggered according to the bearing operation abnormality type, and the bearing operation abnormality type is sent to the control terminal.

2. The method according to claim 1, characterized in that The bearing rotation temperature characteristic parameters are calculated according to the bearing temperature-angle correspondence curve, and the bearing rotation temperature characteristic parameters include angle temperature difference, temperature fluctuation amplitude and temperature change rate, specifically including: Based on the bearing temperature-angle correspondence curve, sampling is performed at equal intervals within a 360-degree circumferential range to obtain multiple temperature sampling points, and the 360-degree circumferential range is divided into equal parts to obtain multiple sectors; Calculate the absolute value of the temperature difference between two adjacent temperature sampling points, and determine the maximum absolute value of the temperature difference as the temperature fluctuation amplitude; Performing Fourier transform on the multiple temperature sampling points to obtain frequency spectrum characteristics of temperature fluctuations; Extracting a first amplitude of a fundamental frequency component and a second amplitude of a second harmonic component from the frequency spectrum characteristics; Determine the highest temperature point and the lowest temperature point from the bearing temperature-angle correspondence curve, and calculate the temperature change rate according to a preset temperature change rate formula; Calculate the average temperature within each sector; The absolute value of the temperature difference between two adjacent sectors is calculated, and the maximum absolute value of the temperature difference is determined as the angular temperature difference.

3. The method according to claim 1, characterized in that The step of comparing the bearing rotation temperature characteristic parameter with a preset temperature warning threshold to obtain the bearing operation abnormality type specifically includes: If the angle temperature difference is less than or equal to the preset angle temperature difference threshold, and the temperature fluctuation amplitude is less than or equal to the preset temperature fluctuation amplitude threshold, and the temperature change rate is less than or equal to the preset temperature change rate threshold, it is determined that the bearing is in normal operation; If the angle temperature difference is greater than the preset angle temperature difference threshold, and the temperature fluctuation amplitude is less than the preset temperature fluctuation amplitude threshold, and the temperature change rate is less than or equal to the preset temperature change rate threshold, it is determined that the bearing has an overload operation abnormality; If the temperature fluctuation amplitude is greater than the preset temperature fluctuation amplitude threshold, and the temperature change rate is greater than the preset temperature change rate threshold, and the angle temperature difference is less than or equal to the preset angle temperature difference threshold, it is determined that the bearing has a poor lubrication abnormality; If the angular temperature difference is greater than the preset angular temperature difference threshold, and the temperature fluctuation amplitude is greater than the preset temperature fluctuation amplitude threshold, and the temperature change rate is greater than the preset temperature change rate threshold, it is determined that the bearing has abnormal wear.

4. The method according to claim 1, characterized in that: After the step of collecting the bearing rotation angle by the angle sensor and collecting the bearing temperature data corresponding to the bearing rotation angle by the temperature sensor array to generate a bearing temperature-angle correspondence curve, the method further includes: Determining a target bearing angle corresponding to a maximum bearing temperature according to the bearing temperature-angle correspondence curve; Comparing the target bearing angle with the maximum stress point of the bearing force analysis to obtain an angle deviation; If the angle deviation is greater than a preset angle threshold, it is determined that the bearing is overloaded or misaligned.

5. The method according to claim 4, characterized in that Before the step of comparing the target bearing angle with the maximum stress point of the bearing force analysis to obtain the angle deviation, the method further includes: Get bearing speed data; Based on the bearing speed data, calculating the bearing speed change rate and the bearing acceleration; When the bearing speed change rate is greater than a preset bearing speed change rate threshold, and the bearing acceleration is greater than a preset bearing acceleration threshold, it is determined that the bearing is in a non-steady-state operation stage; When the bearing speed change rate is less than or equal to the preset bearing speed change rate threshold, and the bearing acceleration is less than or equal to the preset bearing acceleration threshold, and the duration is greater than the preset minimum stable duration, it is determined that the bearing is in a steady-state operation stage.

6. The method according to claim 4, characterized in that After the step of determining that the bearing is unbalanced or misaligned if the angle deviation is greater than a preset angle threshold, the method further includes: Reduce the conveyor's running speed to the preset safety speed, and control the self-aligning device to automatically correct the bearing position; Record the bearing position correction parameters.

7. The method according to claim 1, characterized in that Before the step of comparing the bearing rotation temperature characteristic parameter with a preset temperature warning threshold to obtain the bearing operation abnormality type, the method further includes: Get the grain carrying weight on the conveyor; Based on the preset load-temperature warning correspondence table, the preset temperature warning threshold corresponding to the grain transport weight is determined.

8. A temperature monitoring system, characterized in that: The temperature monitoring system includes: one or more processors and a memory; the memory is coupled to the one or more processors, the memory is used to store computer program code, the computer program code includes computer instructions, and the one or more processors call the computer instructions to enable the temperature monitoring system to execute the method described in any one of claims 1-7.

9. A computer-readable storage medium comprising instructions, characterized in that: When the instructions are executed on a temperature monitoring system, the temperature monitoring system is caused to execute the method according to any one of claims 1 to 7.

10. A computer program product, characterized in that When the computer program product is run on a temperature monitoring system, the temperature monitoring system is caused to perform the method according to any one of claims 1 to 7.

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