Bearing vibration monitoring method, device, system, electronic equipment and storage medium

Abstract

The application provides a bearing vibration monitoring method, device and system, electronic equipment and storage medium, and relates to the technical field of bearing vibration monitoring. The method comprises the following steps: acquiring vibration sensing data of a plurality of preset positions, wherein the preset positions are distributed on a bearing seat, and the bearing seat is used for assembling a bearing; predicting a vibration parameter of a target monitoring point of the bearing based on the vibration sensing data and a preset spatial vibration model; the spatial vibration model is used for representing the relationship between the vibration parameter of any point of the bearing and the vibration parameters of the plurality of preset positions; and obtaining a bearing vibration state monitoring result based on the vibration parameter of the target monitoring point. The embodiment of the application can improve the monitoring precision of the vibration parameter of the bearing.

Description

Technical Field

[0001] This application relates to the field of bearing vibration monitoring technology, and in particular to a bearing vibration monitoring method, device, system, electronic device, and storage medium. Background Technology

[0002] Bearings are core components that ensure the stable operation of power devices such as internal combustion engines, and their vibration characteristics directly affect the lifespan and operational stability of the power device.

[0003] Traditional internal combustion engine bearing vibration monitoring technology often adopts a single-point sensor layout (such as a single-point arrangement at the bottom) due to reasons such as low cost and ease of installation. This also makes the measured signal susceptible to interference from local vibrations, and cannot fully reflect the overall vibration mode of the bearing. In addition, the coupled vibration characteristics between the bearing bush and the bearing housing are complex, and the data from a single sensor have insufficient spatial resolution. When abnormal vibrations caused by local wear or thermal deformation occur, it is often difficult to detect them.

[0004] It should be noted that the above statements are only used to provide background information related to this application and do not necessarily constitute prior art. Summary of the Invention

[0005] In view of this, the purpose of this application is to provide a bearing vibration monitoring method, device, system, electronic device, and storage medium, which can specifically solve the problem of low accuracy in existing bearing vibration monitoring.

[0006] Based on the above objectives, in a first aspect, this application proposes a bearing vibration monitoring method, comprising: acquiring vibration sensing data at multiple preset locations, the preset locations being distributed on a bearing housing used for assembling a bearing; predicting vibration parameters of a target monitoring point of the bearing based on the vibration sensing data and a preset spatial vibration model; the spatial vibration model being used to characterize the relationship between the vibration parameters of any point of the bearing and the vibration parameters of the multiple preset locations; and obtaining a bearing vibration state monitoring result based on the vibration parameters of the target monitoring point.

[0007] In some embodiments, before acquiring vibration sensing data at multiple preset locations, the method includes: constructing the spatial vibration model based on preset correction coefficients, the distance between the target monitoring point and each preset location, the number of preset locations, and the vibration acceleration at each preset location; wherein the correction coefficients include a signal mutual interference correction coefficient, an attenuation correction index, and a signal attenuation correction coefficient.

[0008] In some embodiments, constructing the spatial vibration model includes: determining correction coefficients corresponding to different cylinder diameters based on the cylinder diameter of the power equipment to which the bearing belongs; obtaining multiple spatial vibration models corresponding to different cylinder diameters based on the correction coefficients of different cylinder diameters; wherein the spatial vibration model includes a first model and a second model, the cylinder diameter of the power equipment corresponding to the first model is greater than or equal to a preset diameter, and the cylinder diameter of the power equipment corresponding to the second model is less than the preset diameter.

[0009] In some embodiments, predicting the vibration parameters of the bearing target monitoring point based on vibration sensing data and a preset spatial vibration model includes: determining a target spatial vibration model corresponding to the bearing based on the cylinder diameter of the power unit to which the bearing belongs, wherein the target spatial vibration model is a first model or a second model; and obtaining the vibration parameters of the bearing target monitoring point using the target spatial vibration model based on the vibration sensing data and the distance between the target monitoring point and each preset position.

[0010] In some embodiments, the number of preset positions includes four, and each preset position is provided with a vibration sensor, with each vibration sensor arranged symmetrically about the center of the bearing housing.

[0011] In some embodiments, the vibration parameters include time-domain data of vibration acceleration, and obtaining the bearing vibration state monitoring result based on the vibration parameters of the target monitoring point includes: obtaining the time-domain peak value of the acceleration of the target monitoring point based on the vibration parameters of the target monitoring point; determining the acceleration peak value threshold corresponding to the cylinder diameter based on the cylinder diameter of the power unit to which the bearing belongs; and obtaining the vibration alarm monitoring result if the time-domain peak value of the acceleration of the target monitoring point is greater than the acceleration peak value threshold.

[0012] Secondly, a bearing vibration monitoring device is also provided. The device includes: a data acquisition module for acquiring vibration sensing data at multiple preset locations, the preset locations being distributed on a bearing housing used to assemble a bearing; a calculation module for predicting vibration parameters of the bearing target monitoring point based on the vibration sensing data and a preset spatial vibration model; the spatial vibration model being used to characterize the relationship between the vibration parameters of any point on the bearing and the vibration parameters at the multiple preset locations; and a monitoring and early warning module for obtaining bearing vibration state monitoring results based on the vibration parameters of the target monitoring point.

[0013] Thirdly, a bearing vibration monitoring system is also provided, comprising: a plurality of vibration sensors arranged at preset positions on a bearing housing for collecting vibration sensing data at the preset positions; a controller for acquiring the vibration sensing data at the preset positions and executing the bearing vibration monitoring method as described in any of the first aspects.

[0014] Fourthly, an electronic device is also provided, including a memory, a processor, and a computer program stored in the memory and executable on the processor, the processor executing the computer program to implement the method of the first aspect.

[0015] Fifthly, a computer-readable storage medium is also provided, on which a computer program is stored, the program being executed by a processor to implement the method described in any one of the first aspects.

[0016] In a sixth aspect, a computer program product is also provided, comprising a computer program that is executed by a processor to implement the method described in the first aspect.

[0017] In summary, this application has at least the following beneficial effects: A bearing vibration monitoring method is provided. By setting multiple vibration sensors at preset positions outside the bearing housing, and using the vibration sensing data of multiple vibration sensors, the vibration parameters of any monitoring point inside the bearing are predicted using a preset spatial vibration model. This method can detect the vibration state of any point inside the bearing. Moreover, by using vibration sensing data from multiple positions for prediction, it can better reflect the overall vibration pattern of the bearing and improve the accuracy of vibration parameter monitoring.

[0018] The above description is only an overview of the technical solution of this application. In order to better understand the technical means of this application and to implement it in accordance with the contents of the specification, and to make the above and other objects, features and advantages of this application more obvious and understandable, the following are specific embodiments of this application. Attached Figure Description

[0019] In the accompanying drawings, unless otherwise specified, the same reference numerals throughout the various drawings denote the same or similar parts or elements. These drawings are not necessarily drawn to scale. It should be understood that these drawings depict only some embodiments disclosed in this application and should not be construed as limiting the scope of this application. Furthermore, the same reference numerals denote the same parts throughout all the drawings.

[0020] Figure 1 The flowchart of the bearing vibration monitoring method of this application is shown; Figure 2 This invention provides a schematic diagram of the vibration sensor layout according to an embodiment of the present application. Figure 3 This invention provides a schematic diagram illustrating the spatial principle of vibration monitoring according to an embodiment of this application. Figure 4 This invention provides a schematic diagram of the bearing vibration monitoring device according to an embodiment of the present application. Figure 5 This illustration shows a schematic diagram of the structure of an electronic device according to an embodiment of this application; Figure 6 A schematic diagram of a computer-readable storage medium provided in one embodiment of this application is shown. Detailed Implementation

[0021] The embodiments of the technical solution of this application will now be described in detail with reference to the accompanying drawings. These embodiments are only used to more clearly illustrate the technical solution of this application and are therefore merely examples, and should not be used to limit the scope of protection of this application.

[0022] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this application pertains; the terminology used herein is for the purpose of describing particular embodiments only and is not intended to limit the application; the terms “comprising” and “having”, and any variations thereof, in the specification, claims, and foregoing description of the drawings are intended to cover non-exclusive inclusion.

[0023] In the description of the embodiments of this application, technical terms such as "first" and "second" are used only to distinguish different objects and should not be construed as indicating or implying relative importance or implicitly specifying the number, specific order, or primary and secondary relationship of the indicated technical features. In the description of the embodiments of this application, "multiple" means two or more, unless otherwise explicitly defined.

[0024] In this document, the term "embodiment" means that a particular feature, structure, or characteristic described in connection with an embodiment may be included in at least one embodiment of this application. The appearance of this phrase in various places throughout the specification does not necessarily refer to the same embodiment, nor is it a separate or alternative embodiment mutually exclusive with other embodiments. It will be explicitly and implicitly understood by those skilled in the art that the embodiments described herein can be combined with other embodiments.

[0025] In the description of the embodiments of this application, the term "multiple" refers to two or more (including two), similarly, "multiple sets" refers to two or more (including two sets), and "multiple pieces" refers to two or more (including two pieces).

[0026] In the description of the embodiments of this application, unless otherwise expressly specified and limited, technical terms such as "installation," "connection," "joining," and "fixing" should be interpreted broadly. For example, they can refer to a fixed connection, a detachable connection, or an integral part; they can refer to a mechanical connection or an electrical connection; they can refer to a direct connection or an indirect connection through an intermediate medium; they can refer to the internal communication of two components or the interaction between two components. For those skilled in the art, the specific meaning of the above terms in the embodiments of this application can be understood according to the specific circumstances.

[0027] It should be noted that, unless otherwise specified, the embodiments and features described in this application can be combined with each other. This application will now be described in detail with reference to the accompanying drawings and embodiments.

[0028] Bearings are core components that ensure the stable operation of power devices such as internal combustion engines, and their vibration characteristics directly affect the lifespan and operational stability of the power device.

[0029] Traditional internal combustion engine bearing vibration monitoring technology often adopts a single-point sensor layout (such as a single-point arrangement at the bottom) due to reasons such as low cost and ease of installation. This also makes the measured signal susceptible to interference from local vibrations, and cannot fully reflect the overall vibration mode of the bearing. In addition, the coupled vibration characteristics between the bearing bush and the bearing housing are complex, and the data from a single sensor have insufficient spatial resolution. When abnormal vibrations caused by local wear or thermal deformation occur, it is often difficult to detect them.

[0030] To address the aforementioned issues, this application provides a bearing vibration monitoring method, device, system, electronic device, and storage medium. By setting multiple vibration sensors at preset positions outside the bearing housing, and using the vibration sensing data from these sensors, a preset spatial vibration model is employed to predict the vibration parameters at any monitoring point within the bearing. This solves the problem that sensors cannot be directly installed inside the bearing for monitoring, enabling the detection of vibration states at any point within the bearing. Furthermore, by utilizing vibration sensing data from multiple locations for prediction, it better reflects the overall vibration pattern of the bearing, exhibits stronger resistance to local interference, and improves the accuracy of vibration parameter monitoring.

[0031] For ease of explanation, the following embodiments will be described using an internal combustion engine as the power unit and an internal combustion engine bearing as an example.

[0032] Figure 1 The flowchart of the bearing vibration monitoring method of this application is shown as follows: Figure 1 As shown in the embodiments of this application, the bearing vibration monitoring method includes the following steps S101~S103: S101. Obtain vibration sensing data at multiple preset positions, which are distributed on the bearing housing, which is used to assemble the bearing. S102. Based on vibration sensing data and a preset spatial vibration model, predict the vibration parameters of the bearing target monitoring point; the spatial vibration model is used to characterize the relationship between the vibration parameters of any point on the bearing and the vibration parameters of multiple preset positions. S103. Based on the vibration parameters of the target monitoring point, the bearing vibration state monitoring results are obtained.

[0033] In some cases, the bearing is assembled inside the bearing housing. Vibration sensors cannot be directly installed inside the bearing to detect vibration parameters at the internal position of the bearing. However, the coupled vibration characteristics between the bearing bush and the bearing housing are complex. When abnormal vibrations caused by local wear or thermal deformation occur, they can affect the working efficiency of the internal combustion engine or even cause malfunctions. Furthermore, data from a single sensor has insufficient spatial resolution. In this embodiment, vibration sensors are set at multiple preset positions in the bearing housing. This allows for monitoring of the vibration status at multiple preset positions. The vibration data from these multiple preset positions can then be used to predict the vibration parameters at a target monitoring point inside the bearing. The target monitoring point includes any position inside the bearing.

[0034] In this embodiment, the spatial vibration model is a mathematical model used to establish the mathematical relationship between the vibration state of any point inside the bearing and the vibration states of multiple known measuring points on the bearing housing. The vibration parameters of the visual inspection monitoring points are physical quantities used to characterize the vibration state of the target monitoring points, such as time-domain data of vibration acceleration.

[0035] After obtaining the vibration parameters of the target detection point, the bearing condition can be monitored based on the relationship between the vibration parameters and the preset warning value.

[0036] The above embodiments solve the problem that sensors cannot be directly installed inside the bearing for monitoring. They can detect the vibration state at any point inside the bearing and use vibration sensing data from multiple locations for prediction, which can better reflect the overall vibration pattern of the bearing and has stronger resistance to local interference.

[0037] In this embodiment of the application, before acquiring vibration sensing data at multiple preset locations, the method of the above embodiment includes: constructing a spatial vibration model based on preset correction coefficients, the distance between the target monitoring point and each preset location, the number of preset locations, and the vibration acceleration at each preset location; wherein, the correction coefficients include signal mutual interference correction coefficients, attenuation correction exponents, and signal attenuation correction coefficients.

[0038] Specifically, the mathematical formula for the spatial vibration model can be expressed as: (Formula 1) in, a c ( t )express t Vibration acceleration data of the target monitoring point to be predicted at any given time; This represents the signal interference correction factor. ( i Indicates the preset position number, such as i =1, 2, 3, 4) represent the distances between the target monitoring point and multiple preset locations; This represents the signal attenuation correction factor. Indicates the signal attenuation correction index. a i ( t ) indicates the first i Preset position t Real-time vibration acceleration data; N Indicates the total number of measurement points; max( ) represents all The maximum value in.

[0039] As can be seen from the mathematical formula of the spatial vibration model, this embodiment establishes a basic relationship based on the distance between the target detection point and each preset position, and combines the actual vibration parameters of each preset position with multiple correction coefficients to improve the prediction accuracy of the vibration parameters of the target monitoring point.

[0040] In this embodiment of the application, constructing a spatial vibration model includes: determining correction coefficients corresponding to different cylinder diameters based on the cylinder diameter of the power equipment to which the bearing belongs; and obtaining multiple spatial vibration models corresponding to different cylinder diameters based on the correction coefficients for different cylinder diameters.

[0041] To ensure the adaptability of the spatial vibration model, this embodiment constructs a model that adapts to different cylinder specifications based on the cylinder diameter of the power equipment where the bearing is located.

[0042] The spatial vibration model includes a first model and a second model. The cylinder diameter of the power equipment corresponding to the first model is greater than or equal to the preset diameter, while the cylinder diameter of the power equipment corresponding to the second model is less than the preset diameter.

[0043] In some examples, the preset cylinder diameter is, for example, 150mm. Therefore, for internal combustion engines with a cylinder diameter ≥ 150mm, a first model is obtained. In this first model, the signal interference correction coefficient is... The value range is 1.1~1.5, which is the signal attenuation correction coefficient. The value range is 1.1 to 1.15; the signal attenuation correction index. The value range is 1.01 to 1.05.

[0044] For internal combustion engines with a cylinder bore <150mm, a second model is obtained. In the second model, the signal interference correction coefficient is... The value range is 1.3~1.6; signal attenuation correction coefficient. The value range is 1.2 to 1.35; the signal attenuation correction index. The value range is 1.03 to 1.1.

[0045] In this embodiment of the application, the vibration parameters of the bearing target monitoring point are predicted based on vibration sensing data and a preset spatial vibration model, including: determining the target spatial vibration model corresponding to the bearing based on the cylinder diameter of the power unit to which the bearing belongs, wherein the target spatial vibration model is a first model or a second model; and obtaining the vibration parameters of the bearing target monitoring point using the target spatial vibration model based on the vibration sensing data and the distance between the target monitoring point and each preset position.

[0046] As described above, since a spatial vibration model has been constructed, in practical applications, it is necessary to select a spatial vibration model that matches the current internal combustion engine. This can be achieved by obtaining the cylinder diameter of the internal combustion engine to which the bearing belongs, and then obtaining a matching target spatial vibration model based on the cylinder diameter. The spatial vibration model includes a first model and a second model. It should be noted that the spatial vibration model in this embodiment includes, but is not limited to, the first model and the second model. It can be divided into multiple models based on the cylinder diameter, such as the first model, the second model, the third model, and the fourth model.

[0047] Simultaneously, a physical simulation model of the bearing housing can be established. Based on the physical simulation model of the bearing housing, the distance between any target monitoring point and each preset position can be obtained. This distance is, for example, a straight-line distance in space. Then, using the spatial vibration model shown in Formula 1, the vibration parameters of the bearing target monitoring point can be obtained.

[0048] In this embodiment, the number of preset positions includes four, and each preset position is provided with a vibration sensor. Each vibration sensor is symmetrically arranged about the center of the bearing housing.

[0049] Figure 2 This application shows a schematic diagram of the vibration sensor layout according to an embodiment of the present application, such as... Figure 2 As shown, a first sensor 22, a second sensor 23, a third sensor 24, and a fourth sensor 25 are respectively arranged at the four corners of the bearing housing 21. The first sensor 22, the second sensor 23, the third sensor 24, and the fourth sensor 25 are arranged symmetrically about the center of the bearing housing 21, forming a centrally symmetrical layout. This layout can uniformly capture vibration information in the circumferential direction of the bearing, reduce model deviation caused by uneven distribution of points, and make the vibration parameters of the target monitoring point closer to the real situation.

[0050] In some cases, to further improve the data accuracy of the target monitoring points, the number of the aforementioned vibration sensors can be increased. The specific number can be set according to the actual working conditions and required accuracy, and is not limited here.

[0051] In this embodiment, the vibration parameters include time-domain data of vibration acceleration. For example, the vibration sensing data collected by four sensors are time-domain signals of vibration acceleration. a 1( t ), a 2( t), a 3( t ), a 4( t ).

[0052] Figure 3 This application shows a schematic diagram of the vibration monitoring space principle according to an embodiment of the present application, such as... Figure 3 As shown, when the time-domain signals of vibration acceleration corresponding to the first sensor 22, the second sensor 23, the third sensor 24, and the fourth sensor 25 are obtained... a 1. a 2. a 3. a 4. After that, based on the distances between the target monitoring point and the first sensor 22, the second sensor 23, the third sensor 24, and the fourth sensor 25, respectively, the acceleration parameters of the target monitoring point can be obtained using the spatial vibration model represented by Formula 1. a c .

[0053] In one example, suppose the vibration acceleration signal at a certain moment... a 1. a 2. a 3. a The weights of the four sensors are 6.5g, 6.2g, 6.4g, and 6.3g, respectively. At a certain point inside the bearing housing of a certain type of internal combustion engine, the distances from the target monitoring point to the four sensors are 100mm, 100mm, 189mm, and 189mm, respectively. The vibration acceleration of the target monitoring point is calculated using a spatial vibration reconstruction model. a c The vibration acceleration at the target monitoring point calculated by the model is 7.6g, which is higher than the acceleration data at each preset position. In other words, the data detected by the single-point sensor arranged in the bearing housing cannot truly represent the acceleration state of the internal layout position of the bearing. However, the bearing vibration monitoring method provided in this embodiment can truly reflect the internal vibration state of the bearing, greatly improve the vibration detection effect, and help the internal combustion engine operate safely.

[0054] Based on the vibration parameters of the target monitoring point, the bearing vibration state monitoring results are obtained, including: obtaining the time-domain peak value of the acceleration of the target monitoring point based on the vibration parameters of the target monitoring point; determining the acceleration peak value threshold corresponding to the cylinder diameter based on the cylinder diameter of the power unit to which the bearing belongs; and obtaining the vibration alarm monitoring results based on the fact that the time-domain peak value of the acceleration of the target monitoring point is greater than the acceleration peak value threshold.

[0055] The vibration parameters of the target detection point are time-domain data, which includes data from multiple nodes within a time window. Vibration anomalies at any moment may affect the operation of the internal combustion engine. Therefore, in this embodiment, the peak value of the vibration acceleration time-domain data is selected for vibration monitoring and early warning, which can improve the real-time performance of vibration monitoring.

[0056] Since different cylinder diameters correspond to different acceleration peak values, this embodiment also determines the acceleration peak threshold corresponding to the cylinder diameter based on the cylinder diameter of the power unit to which the bearing belongs. For example, if the cylinder diameter is ≥ 150 mm, the corresponding acceleration peak threshold is determined to be 12.4g; if the cylinder diameter is < 150 mm, the corresponding acceleration peak threshold is determined to be 10.6g. In this way, the adaptability and accuracy of monitoring can be improved.

[0057] Furthermore, based on the fact that the peak value of the acceleration in the time domain of the target monitoring point is greater than the peak value threshold of the acceleration, the vibration alarm monitoring result is obtained. If the peak value of the acceleration in the time domain of the target monitoring point is less than or equal to the peak value threshold of the acceleration, it indicates that the current vibration state of the bearing does not affect the operation of the internal combustion engine, and a monitoring result of "normal status" is generated.

[0058] Figure 4 A schematic diagram of the bearing vibration monitoring device according to an embodiment of this application is shown, as follows: Figure 4 As shown, the bearing vibration monitoring device 400 includes: The data acquisition module 401 is used to acquire vibration sensing data at multiple preset positions, which are distributed on the bearing housing, which is used to assemble the bearing. The calculation module 402 is used to predict the vibration parameters of the bearing target monitoring point based on vibration sensing data and a preset spatial vibration model; the spatial vibration model is used to characterize the relationship between the vibration parameters of any point on the bearing and the vibration parameters of multiple preset positions. The monitoring and early warning module 403 is used to obtain the bearing vibration status monitoring results based on the vibration parameters of the target monitoring point.

[0059] The bearing vibration monitoring device system provided in the above embodiments of this application and the bearing vibration monitoring method provided in the embodiments of this application are based on the same application concept and have the same beneficial effects as the methods adopted, run or implemented by the application stored therein.

[0060] This application also provides a bearing vibration monitoring system, including: a plurality of vibration sensors arranged at preset positions on a bearing housing for collecting vibration sensing data at the preset positions; a controller for acquiring the vibration sensing data at the preset positions and executing the bearing vibration monitoring method as described in any of the above embodiments.

[0061] The distribution of vibration sensors is as follows: Figure 2The first, second, third, and fourth sensors shown are multiple vibration sensors electrically connected to a controller, which can be an electronic device capable of performing bearing vibration monitoring methods.

[0062] The bearing vibration monitoring system provided in the above embodiments of this application and the bearing vibration monitoring method provided in the embodiments of this application are based on the same application concept and have the same beneficial effects as the methods adopted, run or implemented by the application stored therein.

[0063] The description of the various embodiments above tends to emphasize the differences between the various embodiments. The similarities or similarities between them can be referred to, and for the sake of brevity, they will not be repeated here.

[0064] Please refer to Figure 5 This illustrates a schematic diagram of an electronic device provided by some embodiments of this application. For example... Figure 5 As shown, the electronic device 20 includes: a processor 200, a memory 201, a bus 202, and a communication interface 203. The processor 200, the communication interface 203, and the memory 201 are connected via the bus 202. The memory 201 stores a computer program that can run on the processor 200. When the processor 200 runs the computer program, it executes the method provided in any of the foregoing embodiments of this application.

[0065] The memory 201 may include high-speed random access memory (RAM) or non-volatile memory, such as at least one disk storage device. Communication between this system network element and at least one other network element is achieved through at least one communication interface 203 (which can be wired or wireless), such as the Internet, wide area network, local area network, or metropolitan area network.

[0066] Bus 202 can be an ISA bus, PCI bus, or EISA bus, etc. The bus can be divided into an address bus, a data bus, a control bus, etc. The memory 201 is used to store programs. After receiving an execution instruction, the processor 200 executes the program. The bearing vibration monitoring method disclosed in any of the foregoing embodiments of this application can be applied to the processor 200, or implemented by the processor 200.

[0067] The processor 200 may be an integrated circuit chip with signal processing capabilities. In implementation, each step of the above method can be completed by the integrated logic circuitry in the hardware of the processor 200 or by instructions in software form. The processor 200 may be a general-purpose processor, including a central processing unit (CPU), a network processor (NP), etc.; it may also be a digital signal processor (DSP), an application-specific integrated circuit (ASIC), an off-the-shelf programmable gate array (FPGA), or other programmable logic devices, discrete gate or transistor logic devices, or discrete hardware components. It can implement or execute the methods, steps, and logic block diagrams disclosed in the embodiments of this application. The general-purpose processor may be a microprocessor or any conventional processor. The steps of the methods disclosed in the embodiments of this application can be directly embodied in the execution of a hardware decoding processor, or executed by a combination of hardware and software modules in the decoding processor. The software modules may reside in random access memory, flash memory, read-only memory, programmable read-only memory, electrically erasable programmable memory, registers, or other mature storage media in the art. The storage medium is located in memory 201. The processor 200 reads the information in memory 201 and, in conjunction with its hardware, completes the steps of the above method.

[0068] The electronic device provided in this application embodiment and the bearing vibration monitoring method provided in this application embodiment are based on the same application concept and have the same beneficial effects as the methods they adopt, operate or implement.

[0069] This application also provides a computer-readable storage medium corresponding to the bearing vibration monitoring method provided in the foregoing embodiments. Please refer to... Figure 6 It shows a computer-readable storage medium 30, which may be an optical disc containing a program product, such as an operating system, application software, games, or utility software. The program product includes a computer program, which typically exists in source code or compiled binary form. When the computer program is run by a processor, it executes the bearing vibration monitoring method provided in any of the aforementioned embodiments.

[0070] It should be noted that examples of the computer-readable storage medium may also include, but are not limited to, phase-change memory (PRAM), static random access memory (SRAM), dynamic random access memory (DRAM), other types of random access memory (RAM), read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), flash memory or other optical and magnetic storage media, which will not be elaborated here.

[0071] The computer-readable storage medium provided in the above embodiments of this application and the bearing vibration monitoring method provided in the embodiments of this application are based on the same application concept and have the same beneficial effects as the methods adopted, run or implemented by the application programs stored therein.

[0072] This application also provides a computer program product corresponding to the method provided in the foregoing embodiments. The computer program product includes a computer program that is executed by a processor to implement the bearing vibration monitoring method provided in the foregoing embodiments.

[0073] The computer program products provided in the above embodiments of this application and the methods provided in the embodiments of this application are based on the same inventive concept and have the same beneficial effects as the methods adopted, run or implemented by the applications stored therein.

[0074] It should be noted that: In the foregoing text, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, method, article, or apparatus that includes that element. Furthermore, it should be noted that the scope of the methods and apparatuses in the embodiments of this application is not limited to performing functions in the order shown or discussed, but may also include performing functions substantially simultaneously or in the reverse order, depending on the functions involved. For example, the described methods may be performed in a different order than described, and various steps may be added, omitted, or combined. Additionally, features described with reference to certain examples may be combined in other examples.

[0075] Through the above description of the embodiments, those skilled in the art can clearly understand that the methods of the above embodiments can be implemented by means of software plus necessary general-purpose hardware platforms. Of course, they can also be implemented by hardware, but in many cases the former is a better implementation method. Based on this understanding, the technical solution of this application, in essence, or the part that contributes to the prior art, can be embodied in the form of a software product. This computer software product is stored in a storage medium (such as ROM / RAM, magnetic disk, optical disk) and includes several instructions to cause a terminal (which may be a mobile phone, computer, server, air conditioner, or network device, etc.) to execute the methods described in the various embodiments of this application.

[0076] The embodiments of this application have been described above with reference to the accompanying drawings. These are merely specific implementations of this application, but this application is not limited to the specific implementations described above. The specific implementations described above are merely illustrative and not restrictive. Those skilled in the art can make many other forms under the guidance of this application without departing from the spirit and scope of the claims, and all of these forms are within the protection scope of this application.

Claims

1. A bearing vibration monitoring method, characterized in that, include: Vibration sensing data are acquired at multiple preset locations, which are distributed on a bearing housing used for assembling bearings; Based on vibration sensing data and a preset spatial vibration model, the vibration parameters of the bearing target monitoring point are predicted; the spatial vibration model is used to characterize the relationship between the vibration parameters of any point of the bearing and the vibration parameters of multiple preset positions. Based on the vibration parameters of the target monitoring points, the bearing vibration state monitoring results are obtained; Before acquiring vibration sensing data at multiple preset locations, the method includes constructing the spatial vibration model; determining correction coefficients corresponding to different cylinder diameters based on the cylinder diameter of the power equipment to which the bearing belongs; and obtaining multiple spatial vibration models corresponding to different cylinder diameters based on the correction coefficients for different cylinder diameters; wherein, the spatial vibration model includes a first model and a second model, the cylinder diameter of the power equipment corresponding to the first model is greater than or equal to a preset diameter, and the cylinder diameter of the power equipment corresponding to the second model is less than the preset diameter; Based on the vibration parameters of the target monitoring point, the bearing vibration state monitoring results are obtained as follows: based on the cylinder diameter of the power unit to which the bearing belongs, a target spatial vibration model corresponding to the bearing is determined, wherein the target spatial vibration model is a first model or a second model; based on the vibration sensing data and the distance between the target monitoring point and each preset position, the vibration parameters of the bearing target monitoring point are obtained using the target spatial vibration model.

2. The method according to claim 1, characterized in that, Before acquiring vibration sensing data at multiple preset locations, the method includes: The spatial vibration model is constructed based on preset correction coefficients, the distance between the target monitoring point and each preset position, the number of preset positions, and the vibration acceleration of each preset position. The correction coefficients include signal interference correction coefficients, attenuation correction index, and signal attenuation correction coefficients.

3. The method according to any one of claims 1-2, characterized in that, The number of preset positions includes four, and each preset position is equipped with a vibration sensor. Each vibration sensor is symmetrically arranged about the center of the bearing housing.

4. The method according to claim 1, characterized in that, The vibration parameters include time-domain data of vibration acceleration. The bearing vibration state monitoring results obtained based on the vibration parameters of the target monitoring point include: Based on the vibration parameters of the target monitoring point, the peak value of the acceleration in the time domain of the target monitoring point is obtained; Based on the cylinder diameter of the power unit to which the bearing belongs, determine the peak acceleration threshold corresponding to the cylinder diameter; The vibration alarm monitoring result is obtained based on the fact that the time-domain peak value of the acceleration at the target monitoring point is greater than the acceleration peak value threshold.

5. A bearing vibration monitoring device, characterized in that, The device includes: The data acquisition module is used to acquire vibration sensing data at multiple preset locations, which are distributed on the bearing housing, and the bearing housing is used to assemble the bearing. The calculation module is used to predict the vibration parameters of the bearing target monitoring point based on vibration sensing data and a preset spatial vibration model. The spatial vibration model is used to characterize the relationship between the vibration parameters of any point on the bearing and the vibration parameters of multiple preset positions. Before acquiring vibration sensing data from multiple preset positions, correction coefficients corresponding to different cylinder diameters are determined based on the cylinder diameter of the power equipment to which the bearing belongs. Based on the correction coefficients for different cylinder diameters, multiple spatial vibration models corresponding to different cylinder diameters are obtained. The spatial vibration model includes a first model and a second model. The cylinder diameter of the power equipment corresponding to the first model is greater than or equal to the preset diameter, and the cylinder diameter of the power equipment corresponding to the second model is less than the preset diameter. The monitoring and early warning module is used to obtain the bearing vibration state monitoring results based on the vibration parameters of the target monitoring point, determine the target spatial vibration model corresponding to the bearing based on the cylinder diameter of the power unit to which the bearing belongs, wherein the target spatial vibration model is a first model or a second model; and obtain the vibration parameters of the bearing target monitoring point using the target spatial vibration model based on the vibration sensing data and the distance between the target monitoring point and each preset position.

6. A bearing vibration monitoring system, characterized in that, include: Multiple vibration sensors are arranged at preset positions on the bearing housing to collect vibration sensing data at the preset positions; The controller is used to acquire vibration sensing data at the preset position and to execute the bearing vibration monitoring method as described in any one of claims 1-4.

7. An electronic device, characterized in that, It includes a memory, a processor, and a computer program stored in the memory and executable on the processor, the processor executing the computer program to implement the method as claimed in any one of claims 1-4.

8. A computer-readable storage medium having a computer program stored thereon, characterized in that, The computer program is executed by a processor to implement the method as described in any one of claims 1-4.

Images