A method, terminal and system for detecting the operation and status of a rotating shaft of a rotating device

Abstract

The present invention discloses a method, terminal and system for detecting the operation and state of a rotating shaft of a rotating device. Based on the detection data of the rotating shaft speed and temperature, a rotating shaft operation modal model and a rotating shaft degradation process model are established to analyze whether the rotating shaft is running normally and whether the rotating shaft state has entered a degraded state, and to predict the degradation time of the rotating shaft. The rotating shaft detection system of the rotating device includes at least one sensor component and a control center. Each sensor component is used to sample the rotating speed and temperature parameters of a rotating shaft. Each sensor component is connected to the control center. The control center detects the operating state of each rotating shaft based on the real-time sampling data and compares the rotating speeds of adjacent rotating shafts. If it is detected that the rotating speed of a certain rotating shaft is less than the rotating speed of the adjacent rotating shaft and the rotating shaft temperature is higher than the adjacent rotating shaft temperature, it is determined that the rotating shaft has a fault. The model is used to judge the operating state of the rotating shaft, which reduces the workload and improves the efficiency. The energy collection method of the sensor component reduces the wiring and reduces the cost.

Description

Technical Field

[0001] The present invention relates to the technical field of rotating device detection, and in particular to a method, terminal and system for detecting the operation and state of a rotating shaft of a rotating device. Background Art

[0002] In the transmission device, a rotating device is used to drive the conveyor belt to transport objects. This is a common way of transporting objects in life. The rotating device includes multiple rotating shafts, namely rollers. Regardless of whether it is a large or small transmission device, there are many rotating shafts installed on it. If a rotating shaft is damaged and stops running during operation, it will affect the entire transmission process. For small transmission devices, inspectors can conduct inspections nearby, but for large transmission devices that are several kilometers or even dozens of kilometers long, it is necessary to check the status of each rotating shaft. The workload of the inspectors can be imagined, and power supply is also a problem during inspection of such large transmission devices.

[0003] Therefore, how to perform real-time detection on the rotating shaft of the transmission device is a problem that needs to be solved urgently. Summary of the invention

[0004] The object of the present invention is to provide a method, terminal and system for detecting the operation and status of the shaft of a rotating device. By arranging magnetic devices on the radial surface of each shaft and arranging coils in the sensor, the rotational energy of the shaft is converted into electrical energy of the sensor assembly, the power supply of the sensor assembly is realized, the rotational speed and temperature parameters of each shaft are sampled, the status of each shaft is analyzed, the degradation status of the shaft is predicted, and the normal operation of the transmission device is ensured.

[0005] In the first aspect, the above-mentioned invention object of the present invention is achieved through the following technical solutions:

[0006] A method for detecting the operation of a rotating shaft of a rotating device comprises establishing a rotating shaft operation modal model, setting a first sampling frequency and an initial value of a time window, sampling at a second frequency within a first sampling time of the first sampling frequency, obtaining parameters of the rotating shaft in the rotating device, calculating mean parameters and variance parameters of sampling data of the same type of parameters, comparing the mean parameters with a mean threshold, and comparing the variance parameters with a variance threshold. If at least one parameter exceeds the threshold, adjusting the time window parameters, increasing the first sampling frequency, and starting timing from the moment when the threshold is exceeded. If the duration of the sampling parameter exceeding the threshold exceeds the time window parameter, it is considered that the operation of the rotating shaft is abnormal. If the sampling parameter is lower than the threshold during the timing, the timing is reset to zero, and it is considered that the operation of the rotating shaft is normal.

[0007] The present invention is further configured as follows: sampling the temperature and rotation speed of the rotating shaft at a second frequency, calculating the temperature mean parameter and the temperature variance parameter of all temperature sampling values ​​within the first sampling time, comparing the temperature mean parameter with the temperature mean threshold, and comparing the temperature variance parameter with the temperature variance threshold; calculating the speed mean parameter and the speed variance parameter of all speed sampling values ​​within the first sampling time, comparing the speed mean parameter with the speed mean threshold, and comparing the speed variance parameter with the speed variance threshold.

[0008] The present invention is further configured as follows: if at least one parameter exceeds a threshold, the time window parameter T is adjusted to:

[0009] T=T 0 -aI{μ vi ≥μ vp}-bI{σ vi ≥σ vp}-cI{μ Ti ≥μ Tp}-dI{σ Ti ≥σ Tp} (1);

[0010] In the formula, I{μ vi ≥μ vp} is an indicator function. When the condition is met, the function takes the value of 1, and when the condition is not met, the function takes the value of 0; μ vp represents the speed mean threshold, σ vp represents the speed variance threshold, μ Tp represents the temperature mean threshold, σ Tp It represents the temperature variance threshold, T0 is the initial value of the time window, a / b / c / d are unknown coefficients, and have different values ​​depending on different operating environments.

[0011] The present invention is further configured as follows: if a certain parameter begins to exceed a threshold value, the time window is adjusted based on the parameter; if the parameter continues to exceed the threshold value thereafter, the time window is no longer adjusted based on the parameter; that is, each parameter is adjusted for the time window only once when it exceeds the threshold value; if the duration for which the sampling parameter exceeds the threshold value exceeds the time window, it is considered that the shaft has entered a degraded state.

[0012] In a second aspect, the above-mentioned object of the present invention is achieved through the following technical solutions:

[0013] A method for detecting the state of a rotating shaft of a rotating device establishes a shaft degradation process model, predicts the change trend of the shaft operation state based on the degradation process model, and obtains the time interval and damage probability of the shaft damage.

[0014] The present invention is further configured to: establish a shaft degradation process model, including obtaining shaft sampling data, calculating the mean parameter and variance parameter of the same type of parameter sampling data within the first sampling time, calculating the mean difference of the mean parameters and the variance difference of the variance parameters within two adjacent first sampling times, at least one mean difference and at least one variance difference of the same type of parameters constitute the parameter sequence, estimating the parameter probability density function based on the parameter sequence, and obtaining the degradation curve.

[0015] The present invention is further configured as follows: the sampling parameters include rotational speed and temperature, the rotational speed mean difference and the rotational speed variance difference constitute a rotational speed sequence, and the rotational speed probability density function is estimated by a kernel estimation method; the temperature mean difference and the temperature variance difference constitute a temperature sequence, and the temperature probability density function is estimated by a kernel estimation method.

[0016] The present invention is further configured as follows: according to the speed probability density function, a convolution method is used to obtain a speed degradation curve; according to the temperature probability density function, a convolution method is used to obtain a temperature degradation curve; and the speed degradation curve and the temperature degradation curve are integrated to obtain a shaft degradation process curve.

[0017] The present invention is further configured to: adopt a Kalman filtering method to integrate the speed degradation curve and the temperature degradation curve to obtain a shaft degradation process curve.

[0018] In a third aspect, the above-mentioned object of the present invention is achieved through the following technical solutions:

[0019] A rotating device shaft detection terminal comprises a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, the method described in the present application is implemented.

[0020] In a fourth aspect, the above-mentioned object of the present invention is achieved through the following technical solutions:

[0021] A rotating device shaft detection system, the rotating device includes at least one shaft assembly, the shaft detection system includes at least one sensor assembly and a control center, each sensor assembly is used to sample the rotational speed and temperature parameters of at least one shaft, each sensor assembly is connected to the control center, and the control center is used to obtain sensor sampling data according to the method described in the present application, detect the operating status of the shaft, and predict the degradation status of each shaft.

[0022] The present invention is further configured such that: the sensor components communicate with each other, and if the control center detects that a certain shaft has no data, the sensor components on the adjacent shafts are controlled to search for the sensor components on the shaft, and whether the shaft is operating normally is determined based on the search results.

[0023] The present invention is further configured as follows: the sensor assembly includes a speed sensor assembly, the speed sensor assembly includes an energy collection unit and a sensor assembly, the energy collection unit includes a magnetic element, an inductor coil and a conversion circuit, and is used to convert the kinetic energy of the rotating shaft into electrical energy for the sensor assembly, the magnetic element is used to be arranged on the radial surface of the rotating shaft, the inductor coil, the conversion circuit and the sensor assembly are connected in sequence, the inductor coil is used to perform electromagnetic induction with the magnetic element, and convert the kinetic energy of the rotating shaft into alternating current, the conversion circuit is used to convert alternating current into direct current, and the sensor assembly includes a microcontroller, which is connected to multiple parameter acquisition sensors and is used to perform multiple parameter detection and judgment.

[0024] The present invention is further configured as follows: a control center or a microcontroller detects the operating status of each rotating shaft based on real-time sampling data, compares the rotational speeds of adjacent rotating shafts, and if it is detected that the rotational speed of a certain rotating shaft is less than the rotational speed of the adjacent rotating shaft, and the temperature of the rotating shaft is higher than the temperature of the adjacent rotating shaft, it is determined that the rotating shaft has a fault and an alarm is issued.

[0025] The present invention is further configured as follows: the sensor component also includes a temperature sensor component and a wireless communication component, the temperature sensor component is used to detect the temperature of the rotating shaft, and the wireless communication component is used to communicate wirelessly with a control center.

[0026] Compared with the prior art, the beneficial technical effects of this application are:

[0027] 1. This application establishes a shaft operation modal model, adjusts the operation time window, detects whether the shaft is running normally, and detects the running status of the shaft in real time, thereby ensuring the normal operation of the transmission device;

[0028] 2. Furthermore, the present application establishes a shaft degradation process model to predict the shaft degradation time, thereby providing data basis for maintenance personnel and improving the maintenance efficiency of the transmission device;

[0029] 3. Furthermore, the present application converts the kinetic energy of the rotation of the shaft into electrical energy of the sensor assembly by arranging magnetic devices in the radial direction of the shaft and setting a coil in the sensor, thereby reducing the wiring of the transmission device and lowering the cost. BRIEF DESCRIPTION OF THE DRAWINGS

[0030] Figure 1 is a schematic diagram of a shaft detection structure of a specific embodiment of the present application;

[0031] Figure 2A , Figure 2B is a schematic diagram of the structure of a transmission device of a specific embodiment of the present application;

[0032] Figure 3 is a schematic diagram of a cross-sectional structure of a transmission device support according to a specific embodiment of the present application;

[0033] Figure 4 It is a schematic diagram of the sensor circuit structure of a specific embodiment of the present application. DETAILED DESCRIPTION

[0034] The present invention is further described in detail below in conjunction with the accompanying drawings. Specific embodiment 1

[0036] The present application discloses a method for detecting the operation of a rotating shaft of a rotating device, which detects the rotation speed and temperature of the rotating shaft in the rotating device, processes the detected rotation speed and temperature data, and establishes a shaft operation modal model to detect whether the operation of the rotating shaft is normal.

[0037] The sampling of the shaft speed and temperature is carried out in real time. The first sampling frequency and the second sampling frequency are set. The first sampling frequency is used to determine whether to sample, and the second sampling frequency is used to determine the speed of sampling. In the sampling period of the first sampling frequency, sampling is carried out at the second sampling frequency to obtain a set of sampling data. In several sampling periods, several sets of sampling data are obtained. Based on the several sets of sampling data, the shaft operation modal model is established.

[0038] Each set of sampling data includes speed and temperature, and sets the initial value of the time window T 0 , speed mean threshold μ vp , speed variance threshold σ vp , temperature mean threshold μ Tp , temperature variance threshold σ Tp .

[0039] Real-time calculation of the speed mean μ of all speed data in each set of sampling data vi , speed variance σ vi , similarly, calculate the temperature mean μ of all temperature data in each set of sampling data Ti , temperature variance σ Ti , where i represents the i-th group of data, v represents the rotation speed, and T represents the temperature.

[0040] During the initial time window, the speed mean μ vi and the speed mean threshold μ vp By comparison, the speed variance σ vi and the speed variance threshold σ vp For comparison, the mean temperature μ vi and the temperature mean threshold μ Tp For comparison, the temperature variance σ νi and the temperature variance threshold σ Tp If all the values ​​do not exceed the threshold, the shaft is considered to be in normal operation. If at least one value exceeds the threshold, the time window parameter T is adjusted, the time window is recalculated, and the speed mean μ of each group of sampling data is νi , speed variance σνi , mean temperature μ Ti , temperature variance σ Ti .

[0041] To describe a simple starting point, the mean speed μ vi , speed variance σ νi , mean temperature μ Ti , temperature variance σ Ti Collectively referred to as parameters.

[0042] Adjust the time window parameter T according to the following formula:

[0043] T=T 0 -aI{μ vi ≥μ νp}-bI{σ νi ≥σ vp}-cI{μ Ti ≥μ Tp}-dI{σ Ti ≥σ Tp} (1);

[0044] In the formula, I{μ vi ≥μ vp} is an indicator function. When the condition is met, the function takes the value of 1, and when the condition is not met, the function takes the value of 0. a / b / c / d are unknown coefficients, which are related to the operating environment and have different values ​​in different operating environments.

[0045] It can be seen from the formula that if one parameter value exceeds the corresponding threshold, the time window T is reduced. When the same parameter exceeds the corresponding threshold continuously, the time window parameter is adjusted only once. That is, in one operation, if the four parameter values ​​all exceed their corresponding thresholds, the time window parameter is adjusted four times in total.

[0046] If a parameter value exceeds the corresponding threshold, adjust the first sampling frequency, increase the first sampling frequency, reduce the sampling interval, and recalculate the time from the moment the threshold is exceeded. During the timing process, if the parameter continues to exceed the corresponding threshold, the timing continues. If the timing time exceeds the time window T parameter, it is considered that the shaft has left the normal operating state and entered the degraded state; if during the timing process, all parameters are lower than the corresponding threshold at a certain sampling point, the timing is reset to zero, and it is considered that the shaft is still in normal operating state.

[0047] In a specific embodiment of the present application, the shaft parameter sampling method is as follows: Figure 1As shown, the rotating device includes a rotating shaft 1 and a bracket 2. Two supporting legs 121 and 122 are provided on the bracket 2. The two supporting legs are respectively used to support the two ends of the rotating shaft 1. A magnetic device 131 is provided on the radial surface of the rotating shaft 1. A sensor assembly 132 is provided at the position of the supporting leg 121 facing the magnetic device 131. The magnetic device 131 and the sensor assembly 132 are used to detect the rotation speed of the rotating shaft and convert the kinetic energy of the rotating shaft into electrical energy of the sensor assembly.

[0048] The sensor assembly 132 is provided with an inductor coil and a conversion circuit connected in sequence. The magnetic device 131, the inductor coil, and the conversion circuit constitute an energy collection unit. When the shaft rotates, the inductor coil senses the change in the magnetic field and converts the kinetic energy of the shaft into alternating current. The conversion circuit converts the alternating current into direct current to provide power to the sensor assembly. At the same time, the rotation speed of the shaft can be detected by the frequency of the alternating current, and then the rotation speed of the shaft can be detected. The sensor assembly transmits the detected shaft rotation speed to the control center by wireless or wired means.

[0049] The sensor assembly 132 also includes a temperature sensor 133, which is connected to the sensor assembly 132 via a wire 134 and is used to detect the temperature of the shaft. Since the shaft is placed on the supporting legs, the temperature of the supporting legs represents the temperature of the shaft.

[0050] The temperature sensor 133 is arranged on the support leg 122 to detect the temperature at the other end of the shaft. Based on the sampled data, the running state of the shaft is determined by calculation, providing data basis for maintenance, reducing the maintenance workload and reducing costs. Specific embodiment 2

[0052] A rotating device shaft state detection method of the present application includes establishing a shaft degradation process model, predicting the change trend of the shaft operation state based on the degradation process model, and obtaining the time interval and damage probability of the shaft damage.

[0053] Establishing a shaft degradation process model includes obtaining shaft sampling data, as described in the first embodiment, obtaining several groups of sampling data, and calculating the speed mean μ for all speed data in each group of data. νi , speed variance σ νi , mean temperature μ Ti , temperature variance σ Ti , calculate the difference of the same type of parameters in two adjacent groups of data, and calculate the average speed μ νi and the mean speed μ v(i+1) The difference between the average speed difference Δμ vi , calculate the speed variance μ vi and speed variance σ v(i+1) The speed variance difference Δσ is obtained vi ; Obtain the mean temperature μTi and the mean temperature μ T(i+1) The difference in temperature mean value Δμ is obtained. Ti ; Calculate the temperature variance σ Ti and temperature variance σ T(i+1) The difference in temperature variance Δσ is obtained. Ti .

[0054] The mean difference of several speeds Δμ vi , speed variance difference Δσ vi The speed sequence ΔV{.} is composed of several temperature mean differences Δμ Ti , temperature variance difference Δσ Ti Composition temperature series ΔT{.}.

[0055] The kernel estimation method is used to estimate the speed mean difference Δμ using the speed sequence ΔV{.} v , speed variance difference Δσ v The first probability density function f(Δμ v , Δσ v ), using the temperature series ΔT{.} to estimate the temperature mean difference Δμ T , temperature variance difference Δσ T The second probability density function g(Δμ T , Δσ T ).

[0056] Using the first probability density function f(Δμ v , Δσ ν ), through the convolution method, the first degradation process curve of the speed mean and speed variance is obtained ; Similarly, using the second probability density function g(Δμ T , Δσ T ), through the convolution method, the second degradation process curve of the temperature mean and temperature variance is obtained

[0057] Using the Kalman filter method, the first degradation process curve , the second degradation process curve The degradation process curve K V，T (t), which is used as the degradation process model of the shaft.

[0058] According to the shaft degradation process model, the changing trend of the shaft operating status is predicted, the time interval and damage probability of the shaft being damaged are given, and maintenance suggestions are provided to the shaft maintenance personnel. Specific embodiment three

[0060] The present application discloses a rotating device shaft detection system, wherein the rotating device includes at least one shaft assembly, and the shaft detection system includes at least one sensor assembly and a control center. Each sensor assembly is used to detect the rotation speed and temperature parameters of a shaft, and each sensor assembly is connected to the control center respectively. The control center obtains the data sampled by each sensor assembly, and uses the detection method of the specific embodiment 1 or / and the specific embodiment 2 to detect the operation and state of each shaft, and predict the degradation of each shaft.

[0061] In a specific embodiment of the present application, the transmission system is as follows: Figure 2A , 2B As shown, a rotating device in the transmission system is Figure 3 As shown. Among them, Figure 2A There is no conveyor belt. Figure 2B A conveyor belt is shown in FIG.

[0062] The transmission system includes a bracket 2, a conveyor belt 4, multiple first rotating devices 5, and multiple second rotating devices 1. The multiple first rotating devices 5 are located above the bracket 2, and the multiple second rotating devices 1 are located below the bracket 2. The multiple second rotating devices 1 are used to support the rotating conveyor belt, and the multiple first rotating devices 5 are used to drive the conveyor belt transport part to operate.

[0063] Each first rotating device 5 is arranged perpendicular to the length direction of the bracket 2, and the conveyor belt 4 is arranged on a plurality of rotating devices, and is used to drive the conveyor belt to run and transport objects when the rotating devices rotate.

[0064] The first rotating device 5 includes a first rotating shaft 11, a second rotating shaft 12, and a third rotating shaft 13 arranged in sequence. The bracket 2 is provided with a plurality of sub-brackets 201 in a direction perpendicular to the length. A first supporting leg 21, a second supporting leg 22, a third supporting leg 23, and a fourth supporting leg 24 are provided on each sub-bracket 201. The two ends of the first rotating shaft 11 are respectively mounted on the first supporting leg 21 and the second supporting leg 22. The two ends of the second rotating shaft 12 are respectively mounted on the second supporting leg 22 and the third supporting leg 23. The two ends of the third rotating shaft 13 are respectively mounted on the third supporting leg 23 and the fourth supporting leg 24. The second supporting leg 22 and the third supporting leg 23 have the same height, which is lower than the first supporting leg 21. The first supporting leg 21 and the fourth supporting leg 24 have the same height.

[0065] Sensor assemblies and sensors are respectively provided at the positions where the rotating shafts are installed on the four supporting legs. A temperature sensor 31 is provided at the position where one end of the first rotating shaft 11 is installed on the first supporting leg 21, a first sensor assembly 32 is provided at the position where the other end of the first rotating shaft 11 and one end of the second rotating shaft 12 are installed on the second supporting leg 22, a second sensor assembly 33 is provided at the position where the other end of the second rotating shaft 12 and one end of the third rotating shaft 13 are installed on the third supporting leg 23, and a third sensor assembly 34 is provided at the position where the other end of the third rotating shaft 13 is installed on the fourth supporting leg 24. Each sensor assembly includes a speed sensor and a temperature sensor. Each sensor assembly and the temperature sensor 31 are connected by wires.

[0066] A magnetic device 321 is provided on the radial end face of the other end of the first rotating shaft 11, facing the inductor coil in the first sensor assembly 32. When the first rotating shaft 11 rotates, the magnetic device cuts the magnetic lines of force to generate alternating current in the inductor coil, which is converted into direct current through rectification to provide electrical energy for the sensor assembly.

[0067] Similarly, a magnetic device 331 is provided on the radial end surface of the other end of the second rotating shaft 12 , facing the inductor coil in the second sensor assembly 33 , for providing electrical energy to the sensor assembly when the second rotating shaft 12 rotates.

[0068] A magnetic device 341 is provided on the radial end surface of the other end of the third rotating shaft 13 , facing the inductor coil in the third sensor assembly 34 , and is used to provide electrical energy to the sensor assembly when the third rotating shaft 13 rotates.

[0069] In a specific embodiment of the present application, the number of energy collection units is set according to the amount of collected electrical energy. If the electrical energy collected by one energy collection unit is sufficient to provide electrical energy to all sensors, an inductor coil is only set in one sensor component, and the collected electrical energy is provided to each sensor.

[0070] A wireless sensor extender 35 is also provided on the fourth supporting leg 24 to increase the sensor detection parameters or detection quantity.

[0071] The magnetic element and the inductor coil and the conversion circuit in the sensor assembly are used for energy collection, converting the rotational kinetic energy of the shaft into electrical energy of the sensor assembly.

[0072] The third sensor assembly 34 also includes a wireless communication device for wirelessly communicating with the control center.

[0073] The transmission system also includes a plurality of second rotating devices for driving the non-transmission object portion of the conveyor belt to operate, and its structure is as follows: Figure 1 As shown, no further details are given.

[0074] like Figure 4 As shown, the circuit structure of each sensor component includes a magnetic element, an inductor, a conversion circuit, a control circuit, and a sensor circuit. The conversion circuit includes a rectifier circuit, an energy storage circuit, a voltage comparator circuit, and a step-down circuit. The control circuit includes a microcontroller and a wireless module. The sensor circuit includes a speed sensor circuit and n sensors, at least one of which is a temperature sensor. The magnetic element is not shown in the figure.

[0075] The inductor coil is connected to the rectifier circuit and the speed sensor circuit respectively. The rectifier circuit, the energy storage circuit and the step-down circuit are connected in sequence. The output of the step-down circuit is connected to the microcontroller for powering the sensor component. The voltage comparator circuit is connected in parallel with the step-down circuit for comparing the output voltage of the energy storage circuit with the set voltage, thereby providing a stable voltage for the sensor component.

[0076] The energy storage circuit is used to store direct current, and the step-down circuit is used to convert the direct current voltage into a voltage matching the microcontroller and the sensor components.

[0077] The alternating current induced by the inductor coil is also used as the sampling basis for the shaft speed. The shaft speed is obtained through the speed sensing circuit and the speed sampling data is transmitted to the microcontroller.

[0078] Each sensor, speed sensing circuit and wireless module are connected to the microcontroller respectively to transmit the sampled data to the microprocessor, and after being processed by the microprocessor, the data is sent to the control center via the wireless module.

[0079] The speed sensor assembly includes an energy collection unit and a sensor assembly. The energy collection unit includes a magnetic element, an inductor coil and a conversion circuit, which are used to convert the kinetic energy of the rotating shaft into electrical energy for the sensor assembly. The magnetic element is used to be set on the radial surface of the rotating shaft. The inductor coil, the conversion circuit and the sensor assembly are connected in sequence. The inductor coil is used to perform electromagnetic induction with the magnetic element to convert the kinetic energy of the rotating shaft into alternating current. The conversion circuit is used to convert alternating current into direct current. The sensor assembly is used to perform parameter detection.

[0080] The control center receives the sampling parameters of each shaft, detects the operating status of each shaft based on the real-time sampling data, and compares the rotational speeds of adjacent shafts. If it is detected that the rotational speed of a shaft is less than that of the adjacent shaft, and the temperature of the shaft is higher than that of the adjacent shaft, then it is determined that the shaft has failed and an alarm is issued.

[0081] Each sensor component communicates with each other. If the control center detects that a shaft has no data, it controls the sensor components on the adjacent shafts to search for the sensor components on the shaft, and determines whether the shaft is operating normally based on the search results. If the shaft data can be searched, it means there is a data transmission problem. If the shaft data cannot be searched, it means that the shaft has a fault.

[0082] The control center uses the models described in the first and second specific embodiments to determine the operation of each shaft and predict the degradation time.

[0083] Considering that each circuit unit in the present application can be obtained based on the existing technology, the specific structure of each circuit unit will not be described in detail. Specific embodiment 4

[0085] A rotating device shaft detection terminal of the present application, a rotating device shaft detection terminal device provided by an embodiment of the present invention, the terminal device of this embodiment comprises: a processor, a memory, and a computer program stored in the memory and executable on the processor, such as a model building program, and the processor implements the determination step in embodiment 1 when executing the computer program;

[0086] Alternatively, when the processor executes the computer program, the functions of the modules / units in the above-mentioned device embodiments are implemented, for example, a model building module and a discrimination module.

[0087] Exemplarily, the computer program may be divided into one or more modules / units, which are stored in the memory and executed by the processor to complete the present invention. The one or more modules / units may be a series of computer program instruction segments capable of completing specific functions, which are used to describe the execution process of the computer program in the rotating device shaft detection terminal device. For example, the computer program may be divided into multiple modules, and the specific functions of each module are as follows:

[0088] 1. The first model building module is used to build a shaft operation modal model;

[0089] 2. The second model building module is used to build a shaft degradation process model;

[0090] 3. Judgment module, used to judge the running status of the shaft.

[0091] The rotating device shaft detection terminal device can be a computing device such as a desktop computer, a notebook, a PDA, and a cloud server. The rotating device shaft detection terminal device can include, but is not limited to, a processor and a memory. Those skilled in the art can understand that the above examples are only examples of the rotating device shaft detection terminal device, and do not constitute a limitation on the rotating device shaft detection terminal device, and can include more or less components than shown in the figure, or combine certain components, or different components. For example, the rotating device shaft detection terminal device can also include input and output devices, network access devices, buses, etc.

[0092] The processor may be a central processing unit (CPU), or other general-purpose processors, a digital signal processor (DSP), an application-specific integrated circuit (ASIC), a field-programmable gate array (FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. The general-purpose processor may be a microprocessor or any conventional processor, etc. The processor is the control center of the rotating shaft detection terminal device of the rotating device, and uses various interfaces and lines to connect various parts of the rotating shaft detection terminal device of the rotating device.

[0093] The memory can be used to store the computer program and / or module, and the processor realizes various functions of the rotating device shaft detection terminal device by running or executing the computer program and / or module stored in the memory, and calling the data stored in the memory. The memory can mainly include a program storage area and a data storage area, wherein the program storage area can store an operating system, an application required for at least one function (such as a sound playback function, an image playback function, etc.), etc.; the data storage area can store data created according to the use of the mobile phone (such as audio data, a phone book, etc.), etc. In addition, the memory can include a high-speed random access memory, and can also include a non-volatile memory, such as a hard disk, a memory, a plug-in hard disk, a smart memory card (Smart Media Card, SMC), a secure digital (SecureDigital, SD) card, a flash card (Flash Card), at least one disk storage device, a flash memory device, or other volatile solid-state storage devices.

[0094] The embodiments of this specific implementation method are all preferred embodiments of the present invention, and are not intended to limit the protection scope of the present invention. Therefore, any equivalent changes made based on the structure, shape, and principle of the present invention should be included in the protection scope of the present invention.

Claims

1. A method for detecting the operation of a rotating shaft of a rotating device, characterized in that: The method includes establishing a shaft operation modal model, setting a first sampling frequency and an initial value of a time window, sampling at a second frequency within a first sampling time of the first sampling frequency, obtaining shaft parameters in a rotating device, calculating mean parameters and variance parameters of sampling data of the same type of parameters, comparing the mean parameter with a mean threshold, and comparing the variance parameter with a variance threshold. If at least one parameter exceeds the threshold, adjusting the time window parameter, increasing the first sampling frequency, and starting timing from the moment when the threshold is exceeded. If the duration of the sampling parameter exceeding the threshold exceeds the time window parameter, it is considered that the shaft is operating abnormally. If the sampling parameter is lower than the threshold during the timing process, the timing is reset to zero, and it is considered that the shaft is operating normally. Sampling the temperature and the rotation speed of the rotating shaft at a second frequency, calculating a temperature mean parameter and a temperature variance parameter of all temperature sampling values ​​within the first sampling time, comparing the temperature mean parameter with a temperature mean threshold, and comparing the temperature variance parameter with a temperature variance threshold; Calculate a speed mean parameter and a speed variance parameter of all speed sampling values ​​within the first sampling time, compare the speed mean parameter with the speed mean threshold, and compare the speed variance parameter with the speed variance threshold; If at least one parameter exceeds the threshold, adjust the time window parameter T to: T=T0-al{μ vi ≥μ νp }−bI{σ vi ≥σ νp }-cI{µ Ti ≥μ Tp }-dI{σ Ti ≥σ Tp } (1)? In the formula, I{μ vi ≥μ vp } is an indicator function. When the condition is met, the function takes the value of 1, and when the condition is not met, the function takes the value of 0; μ vp represents the speed mean threshold, σ vp represents the speed variance threshold, μ Tp represents the temperature mean threshold, σ Tp represents the temperature variance threshold, μ vi represents the mean value of the i-th speed, σ vi represents the i-th speed variance, μ Ti represents the mean temperature of the i-th temperature, σ Ti represents the ith temperature variance, T0 is the initial value of the time window, a / b / c / d are unknown coefficients, and have different values ​​depending on the operating environment.

2. The method for detecting the operation of a rotating shaft of a rotating device according to claim 1, characterized in that: If a parameter begins to exceed the threshold, the time window is adjusted based on the parameter. If the parameter continues to exceed the threshold, the time window is no longer adjusted based on the parameter. That is, each parameter only makes one time window adjustment when it exceeds the threshold. If the duration of the sampling parameter exceeding the threshold exceeds the time window, the shaft is considered to have entered a degraded state.

3. A method for detecting the state of a rotating shaft of a rotating device, characterized in that: Establish a shaft degradation process model, predict the change trend of the shaft operation status based on the degradation process model, and obtain the time interval and damage probability of the shaft damage; Establishing a shaft degradation process model, including obtaining shaft sampling data, calculating mean parameters and variance parameters of sampling data of the same type of parameters within a first sampling time, calculating mean differences of mean parameters and variance differences of variance parameters within two adjacent first sampling times, at least one mean difference and at least one variance difference of the same type of parameters compose a parameter sequence, estimating a parameter probability density function based on the parameter sequence, and obtaining a degradation curve; The sampling parameters include speed and temperature. The speed mean difference and speed variance difference form a speed sequence. The kernel estimation method is used to estimate the speed probability density function. The temperature mean difference and temperature variance difference constitute the temperature sequence, and the temperature probability density function is estimated using the kernel estimation method.

4. The method for detecting the state of a rotating shaft of a rotating device according to claim 3, characterized in that: According to the speed probability density function, the speed degradation curve is obtained by using the convolution method; according to the temperature probability density function, the temperature degradation curve is obtained by using the convolution method; the speed degradation curve and the temperature degradation curve are combined to obtain the shaft degradation process curve.

5. The method for detecting the state of a rotating shaft of a rotating device according to claim 4, characterized in that: The Kalman filter method is used to integrate the speed degradation curve and the temperature degradation curve to obtain the shaft degradation process curve.

6. A rotating device shaft detection terminal, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that: When the processor executes the computer program, the method according to any one of claims 1 to 5 is implemented.

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