Noise source identification method, apparatus, engineering device, and machine-readable storage medium

Abstract

This application discloses a noise source identification method, apparatus, engineering equipment, and machine-readable storage medium, relating to the field of noise source identification technology. The method includes: acquiring near-field noise of a hoisting mechanism operating at different times; determining the vibration frequencies of various components of the hoisting mechanism at different times based on the drum rotation speed of the hoisting mechanism at different times; determining target times at each time based on abnormal frequencies in the near-field noise; determining target components based on all vibration frequencies and abnormal frequencies corresponding to the target times; and accurately identifying noise sources by locating the target components. When multiple target components exist, determining whether resonance exists between the target components based on the vibration frequencies of each target component at different drum rotation speeds; and generating noise source identification results based on the target components and resonance information when resonance exists. This provides a basis for optimizing the vibration and noise characteristics of the hoisting mechanism.

Description

Technical Field

[0001] This application relates to the field of noise source identification technology, specifically to a noise source identification method, apparatus, engineering equipment, and machine-readable storage medium. Background Technology

[0002] Cranes typically consist of a main hoisting winch mechanism, an auxiliary hoisting winch mechanism, and a luffing winch mechanism. The winch mechanism is the main working device of a crane and also one of the main sources of noise during crane operation. The noise generated by the winch mechanism is difficult to seal and insulate. Current methods for noise identification in cranes mainly focus on identifying the overall noise source of the crane, and are not accurate in identifying the noise of internal components of the winch mechanism. This makes it impossible to effectively assess the vibration and noise of these components and optimize the vibration and noise characteristics of the winch mechanism. Summary of the Invention

[0003] To address the aforementioned shortcomings in the prior art, the purpose of this application is to provide a noise source identification method, apparatus, engineering equipment, and machine-readable storage medium.

[0004] To achieve the above objectives, the first aspect of this application provides a noise source identification method applied to a hoisting mechanism, the noise source identification method comprising:

[0005] Acquire the near-field noise of the hoisting mechanism at different times during operation;

[0006] The vibration frequencies of each component of the winch mechanism at different times are determined based on the drum rotation speed of the winch mechanism at different times.

[0007] Determine the target time at each time step based on the abnormal frequency in near-field noise;

[0008] The target components are determined based on all vibration frequencies and abnormal frequencies corresponding to the target time.

[0009] When there are multiple target components, determine whether there is resonance between the target components based on the vibration frequency of each target component at different drum speeds.

[0010] In the presence of resonance, noise source identification results are generated based on the target component and resonance information, where the resonance information is the vibration frequency of the target component that generates the resonance phenomenon.

[0011] In this embodiment, the components include a first component and a second component. The vibration frequency of each component of the hoisting mechanism at each moment is determined based on the drum rotation speed of the hoisting mechanism at each moment, including:

[0012] For the first component, the vibration acceleration of the first component is obtained by a vibration acceleration sensor installed on the surface of the first component;

[0013] The vibration frequency of each first component at each moment is determined based on vibration acceleration; and / or,

[0014] For the second component, the vibration frequency of the second component at each moment is determined based on the number of gear teeth of the reducer of the hoisting mechanism and the drum rotation speed at each moment.

[0015] In this embodiment of the application, determining the vibration frequency of each first component at each moment based on vibration acceleration includes:

[0016] Vibration acceleration data preprocessing;

[0017] Based on the acquisition time, a Fourier transform is performed on the vibration acceleration after data preprocessing to obtain the vibration frequency of each first component at each time.

[0018] In this embodiment of the application, the target component is determined based on all vibration frequencies and abnormal frequencies corresponding to the target time, including:

[0019] Compare all vibration frequencies corresponding to the target time with the abnormal frequencies;

[0020] The portion of all vibration frequencies whose difference from the abnormal frequency is less than the first difference threshold is taken as the target vibration frequency.

[0021] The component corresponding to the target vibration frequency is identified as the target component.

[0022] In this embodiment of the application, when there are multiple target components, determining whether there is resonance between the target components based on the vibration frequency of each target component at different drum speeds includes:

[0023] When there are multiple target components, determine whether there is a pre-set excitation source component among the target components;

[0024] In the presence of a preset excitation source component, for each other component, based on a second difference threshold, it is determined whether there is an abnormal vibration frequency in the vibration frequency of the other components at different drum speeds. Here, the other components are the target components other than the preset excitation source component.

[0025] In the presence of abnormal vibration frequencies, the vibration frequency of the preset excitation source components is determined based on the drum rotation speed corresponding to the abnormal vibration frequency.

[0026] When the abnormal vibration frequency matches the vibration frequency of the preset excitation source component, it is determined that there is a resonance phenomenon between other components and the preset excitation source component.

[0027] In this embodiment of the application, determining whether there are abnormal vibration frequencies in the vibration frequencies of other components at different drum speeds based on a second difference threshold includes:

[0028] For each first vibration frequency of other components, the frequency difference between the first vibration frequency and all other first vibration frequencies is determined. The first vibration frequency is the vibration frequency of other components at different drum speeds, and the other first vibration frequencies are the remaining first vibration frequencies other than the current first vibration frequency.

[0029] The first vibration frequency in which all frequency differences are greater than the second difference threshold is defined as the abnormal vibration frequency.

[0030] In this embodiment of the application, the near-field noise of the hoisting mechanism at different times of operation is obtained, including:

[0031] The near-field noise of the hoisting mechanism at different times is obtained based on the microphone. The reference axis of the microphone is parallel to the horizontal plane, the distance between the microphone and the end face of the rotation center of the reducer of the hoisting mechanism is a preset distance, the angle between the microphone and the preset plane is a preset angle, and the preset plane is parallel to the rotation axis of the reducer and perpendicular to the horizontal plane.

[0032] A second aspect of this application provides a noise source identification device, comprising:

[0033] The memory is configured to store instructions;

[0034] The processor is configured to retrieve the instructions from the memory and, when executing the instructions, to implement the noise source identification method as described in the above embodiments.

[0035] A third aspect of this application provides an engineering device, comprising:

[0036] The noise source identification device as described in the above embodiments;

[0037] Hoisting mechanism.

[0038] A fourth aspect of this application provides a machine-readable storage medium storing instructions that cause a machine to perform the noise source identification method as described in the above embodiments.

[0039] The above technical solution acquires the near-field noise of the hoisting mechanism at different times during operation. Based on the drum rotation speed at different times, the vibration frequencies of each component of the hoisting mechanism at different times are determined. Target times are determined based on abnormal frequencies in the near-field noise. Target components are identified based on all vibration frequencies and abnormal frequencies corresponding to the target times. By locating the target components, noise sources are accurately identified. When multiple target components exist, the vibration frequencies of each target component at different drum rotation speeds are used to determine whether resonance exists between them. If resonance exists, noise source identification results are generated based on the target components and resonance information. This provides a basis for optimizing the vibration and noise characteristics of the hoisting mechanism.

[0040] Other features and advantages of the embodiments of this application will be described in detail in the following detailed description section. Attached Figure Description

[0041] The accompanying drawings are provided to further illustrate the embodiments of this application and form part of the specification. They are used together with the following detailed description to explain the embodiments of this application, but do not constitute a limitation on the embodiments of this application. In the drawings:

[0042] Figure 1 The illustration shows a flowchart of a noise source identification method according to an embodiment of this application;

[0043] Figure 2 A schematic top view of a hoisting mechanism according to an embodiment of this application is shown;

[0044] Figure 3 A schematic side view of a hoisting mechanism according to an embodiment of this application is shown;

[0045] Figure 4 A near-field noise colormap according to an embodiment of this application is illustrated schematically.

[0046] Figure 5 A color map illustrating the vibration of the mounting rack wall according to an embodiment of this application is shown schematically.

[0047] Figure 6 A color map illustrating motor wall vibration according to an embodiment of this application is shown schematically.

[0048] Figure 7 The diagram schematically illustrates the vibration spectrum of the mounting frame wall at different drum speeds according to an embodiment of this application.

[0049] Figure 8 The diagram schematically illustrates the vibration spectrum of the motor wall at different drum speeds according to an embodiment of this application.

[0050] Explanation of reference numerals in the attached figures

[0051] 10. Vibration acceleration sensor; 20. Microphone; 30. Drum; 40. Motor; 50. Mounting frame panel. Detailed Implementation

[0052] To make the objectives, technical solutions, and advantages of the embodiments of this application clearer, the technical solutions of the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. It should be understood that the specific embodiments described herein are only for illustration and explanation of the embodiments of this application and are not intended to limit the embodiments of this application. All other embodiments obtained by those skilled in the art based on the embodiments of this application without creative effort are within the scope of protection of this application.

[0053] It should be noted that if the embodiments of this application involve directional indicators (such as up, down, left, right, front, back, etc.), the directional indicators are only used to explain the relative positional relationship and movement of the components in a certain specific posture (as shown in the figure). If the specific posture changes, the directional indicators will also change accordingly.

[0054] Furthermore, if the embodiments of this application involve descriptions such as "first" or "second," these descriptions are for descriptive purposes only and should not be construed as indicating or implying their relative importance or implicitly specifying the number of technical features indicated. Therefore, features defined with "first" or "second" may explicitly or implicitly include at least one of those features. Additionally, the technical solutions of various embodiments can be combined with each other, but this must be based on the ability of those skilled in the art to implement them. If the combination of technical solutions is contradictory or impossible to implement, it should be considered that such a combination of technical solutions does not exist and is not within the scope of protection claimed in this application.

[0055] Figure 1 A schematic flowchart illustrating a noise source identification method according to an embodiment of this application is shown. Figure 1 As shown in the figure, this application provides a noise source identification method applied to a hoisting mechanism. The noise source identification method includes the following steps:

[0056] Step 100: Obtain the near-field noise of the hoisting mechanism at different times during operation;

[0057] It should be noted that noise identification of internal components of the winch mechanism is not precise and cannot effectively assess the vibration and noise of these components. In this embodiment, by identifying the noise sources of the near-field noise of the winch mechanism, a valid reference basis is provided for improving the optimization of the winch mechanism's vibration and noise characteristics. It is understood that the operational requirements and scenarios of the winch mechanism may vary at different times during operation. For example, for the same drum speed, due to environmental changes, the near-field noise generated by the winch mechanism may not be the same at different times; similarly, for different drum speeds, the near-field noise of the winch mechanism will also differ at different times. In this embodiment, by acquiring the near-field noise of the winch mechanism at different times, the comprehensiveness and accuracy of the winch mechanism noise analysis are improved.

[0058] Specifically, in one embodiment, acquiring the near-field noise of the hoisting mechanism at different times during operation includes:

[0059] The near-field noise of the hoisting mechanism at different times is obtained based on the microphone. The reference axis of the microphone is parallel to the horizontal plane, the distance between the microphone and the end face of the rotation center of the reducer of the hoisting mechanism is a preset distance, the angle between the microphone and the preset plane is a preset angle, and the preset plane is parallel to the rotation axis of the reducer and perpendicular to the horizontal plane.

[0060] It should be noted that a microphone is a device that converts sound signals into electrical signals or mechanical vibrations. In this embodiment, a microphone is used to collect the near-field noise of the hoisting mechanism at different times during operation. The microphone may include an electrodynamic microphone, an electromagnetic microphone, an electrostatic microphone, or a piezoelectric microphone, determined based on the actual application requirements. To achieve accurate collection of the near-field noise of the hoisting mechanism, this embodiment imposes certain restrictions on the installation position of the microphone. Specifically, refer to... Figure 2 and Figure 3 The reference axis of the microphone 20 is parallel to the horizontal plane. The distance between the microphone 20 and the end face of the rotation center of the reducer of the hoisting mechanism is a preset distance. The angle between the microphone 20 and a preset plane is a preset angle. The preset plane is parallel to the rotation axis of the reducer and perpendicular to the horizontal plane. The reducer, motor 40, and drum 30 of the hoisting mechanism rotate coaxially, meaning the rotation axis of the reducer is in the same direction as the rotation axis of the drum 30. It should be noted that the preset distance and preset angle can be determined based on the actual application scenario; for example, the preset distance is 50cm and the preset angle is 45°. In one embodiment, an error range may also be included; for example, the preset distance may include an error of ±5cm, and the preset angle may include an error of ±10°.

[0061] Step 200: Determine the vibration frequency of each component of the hoisting mechanism at different times based on the drum rotation speed of the hoisting mechanism at different times;

[0062] In this embodiment, it should be noted that the drum rotation speed of the winch mechanism will also change accordingly when the winch mechanism is operating at different lifting speeds. The vibration frequencies of various components of the winch mechanism at different times are determined based on the different drum rotation speeds, improving the accuracy of vibration frequency determination. The winch mechanism may include multiple components, such as a drum, reducer, motor, and mounting frame. There are various possible sources of near-field noise from the winch mechanism, such as unreasonable chassis design, excessive bearing clearance, drum wear, and motor failure. In this embodiment, by acquiring the vibration frequencies of various components of the winch mechanism at different times, effective comparative data is provided for identifying the source of near-field noise, improving the accuracy of noise source identification.

[0063] Step 300: Determine the target time at each time step based on the abnormal frequencies in the near-field noise;

[0064] It should be noted that data analysis and transformation calculations are performed on the acquired near-field noise to obtain frequency plot information such as a noise spectrum, color map, or 3D waterfall plot. Based on this frequency plot information, it can be determined whether there are anomalous frequencies in the near-field noise; for example, anomalous frequencies can be identified at higher sound pressure levels in the time-frequency domain. (Reference) Figure 4 , Figure 4 The image includes a color map of the near-field noise of the hoisting mechanism at the drum's rotational speed. Figure 4 The highlighted lines at points A1 and B1 represent the abnormal frequencies. The time when this abnormal frequency occurs is taken as the target time.

[0065] Step 400: Determine the target component based on all vibration frequencies and abnormal frequencies corresponding to the target time;

[0066] It should be noted that during operation, all components of the hoisting mechanism will vibrate. The vibration frequencies corresponding to the target time are the vibration frequencies of each component of the hoisting mechanism at that target time. By determining all vibration frequencies corresponding to the target time, and based on these frequencies and any abnormal frequencies, the target component is identified. The target component is the component whose vibration frequency includes the abnormal frequency. Identifying the target component allows for the identification of the noise source generating the abnormal frequency.

[0067] Specifically, in one embodiment, the target component is determined based on all vibration frequencies and abnormal frequencies corresponding to the target time, including:

[0068] Compare all vibration frequencies corresponding to the target time with the abnormal frequencies;

[0069] The portion of all vibration frequencies whose difference from the abnormal frequency is less than the first difference threshold is taken as the target vibration frequency.

[0070] The component corresponding to the target vibration frequency is identified as the target component.

[0071] In this embodiment, it should be noted that all vibration frequencies corresponding to the target time are compared with abnormal frequencies in the near-field noise to determine the difference between each vibration frequency and the abnormal frequency. The portion of all vibration frequencies whose difference from the abnormal frequency is less than a first difference threshold is taken as the target vibration frequency, and the component that generates the target vibration frequency at the target time is identified as the target component. It is understood that the first difference threshold is a relatively small threshold used to improve the error tolerance of target component identification; that is, the vibration frequency of the target component is not required to perfectly match the abnormal frequency, and a certain difference is allowed. This certain difference is limited by the first difference threshold.

[0072] Please refer to the above. Figure 4 , Figure 5 as well as Figure 6 , Figure 4 This includes a color map of the near-field noise of the hoisting mechanism at the drum's rotational speed. Figure 5 Including a color map showing the vibration of the mounting frame wall at the drum's rotational speed;

[0073] Figure 6 Includes a color map showing the vibration of the motor wall during the rotational speed of the drum. Figure 4 Part A1 and Figure 5 Part A2 and Figure 6 The differences in part A3 are all small, that is, the vibration frequency of the mounting frame and motor at the target moment corresponding to A1 matches the abnormal frequency A1 of the near-field noise, and the mounting frame and motor are the target components. Figure 4 Part B1 in Figure 6 The differences in part B2 are all small, meaning that the vibration frequency of the motor at the target time corresponding to point B1 matches the abnormal frequency B1 of the near-field noise, and the motor is the target component.

[0074] In this embodiment, noise sources are identified by comparing vibration frequencies, thereby improving the effectiveness of noise source identification.

[0075] Step 500: When there are multiple target components, determine whether there is resonance between the target components based on the vibration frequency of each target component at different drum speeds.

[0076] Step 600: In the case of resonance, generate noise source identification results based on the target component and resonance information, wherein the resonance information is the vibration frequency of the target component that generates the resonance phenomenon.

[0077] It should be noted that there may be multiple target components, meaning that there are multiple components whose vibration frequency at the target time differs from the abnormal frequency by less than a first difference threshold. The vibration frequencies of these multiple target components almost match the abnormal frequency, meaning the vibration frequencies of these multiple target components also almost match. In this case, there is a high probability of resonance due to the natural frequency of one component matching the operating frequency of other components. In the presence of resonance, a noise source identification result is generated based on the target components and resonance information. The resonance information can provide reference suggestions for the allocation or adjustment of the natural frequencies of the hoisting mechanism components. Identifying the target components allows for the accurate determination of the noise source. It is understood that the natural frequencies of some components of the hoisting mechanism are difficult to obtain through measurement, making it difficult to avoid resonance during hoisting mechanism operation when designing the hoisting mechanism. In this embodiment, while identifying noise sources, if multiple noise sources are simultaneously identified, i.e., multiple target components exist simultaneously, the resonance phenomenon is further identified, providing a reference for adjusting the natural frequencies of the hoisting mechanism components and reducing resonance of the hoisting mechanism components within the drum's operating speed range.

[0078] In this embodiment, near-field noise of the hoisting mechanism at different times is acquired. The vibration frequencies of each component of the hoisting mechanism at different times are determined based on the drum rotation speed at those times. Target times are determined based on abnormal frequencies in the near-field noise. Target components are identified based on all vibration frequencies and abnormal frequencies corresponding to the target times. By locating the target components, noise sources are accurately identified. When multiple target components exist, the presence of resonance between them is determined based on the vibration frequencies of each target component at different drum rotation speeds. If resonance exists, noise source identification results are generated based on the target components and resonance information. This provides a basis for optimizing the vibration and noise characteristics of the hoisting mechanism.

[0079] In one embodiment, the components include a first component and a second component. The vibration frequency of each component of the hoisting mechanism at each moment is determined based on the drum rotation speed of the hoisting mechanism at each moment, including:

[0080] For the first component, the vibration acceleration of the first component is obtained by a vibration acceleration sensor installed on the surface of the first component;

[0081] The vibration frequency of each first component at each moment is determined based on vibration acceleration; and / or,

[0082] For the second component, the vibration frequency of the second component at each moment is determined based on the number of gear teeth of the reducer of the hoisting mechanism and the drum rotation speed at each moment.

[0083] In this embodiment, it should be noted that the hoisting mechanism comprises multiple components. For the vibrations generated during hoisting operation, the vibration information of some components can be directly measured, while the vibration information of others needs to be calculated. Noise source identification for the hoisting mechanism may include only the first component, the second component, or both. In this embodiment, the first component is the one whose vibration information can be directly measured, while the second component is the one whose vibration information needs to be calculated. Specifically, for the first component, the vibration acceleration of the first component is acquired by a vibration acceleration sensor mounted on its surface, and the vibration frequency of each first component at each moment is determined based on the vibration acceleration. The vibration acceleration sensor is a three-dimensional vibration acceleration sensor. The vibration acceleration sensor may include capacitive sensors, piezoresistive sensors, piezoelectric sensors, or fiber optic grating sensors, etc., and the selection of the vibration acceleration sensor is based on the characteristics of the first component and the actual application scenario. (Reference) Figure 2 and Figure 3 ,refer to Figure 2 and Figure 3 It includes multiple vibration acceleration sensors 10, which collect the vibration acceleration of different components. The vibration acceleration sensors 10 can be installed on the surface of the mounting frame wall panel 50, the wall of the motor housing 40, the surface of the turntable hoist mounting location, etc.

[0084] Specifically, in one embodiment, determining the vibration frequency of each first component at each moment based on vibration acceleration includes:

[0085] Vibration acceleration data preprocessing;

[0086] Based on the acquisition time, a Fourier transform is performed on the vibration acceleration after data preprocessing to obtain the vibration frequency of each first component at each time.

[0087] For the first component, after acquiring the vibration acceleration of the first component using a vibration acceleration sensor mounted on its surface, the vibration acceleration data undergoes preprocessing, such as filtering and noise reduction, to improve its accuracy. Then, based on the acquisition time, a Fourier transform is performed on the preprocessed vibration acceleration data to obtain the vibration frequency of each first component at each time point. The Fourier transform can be implemented using the Fast Fourier Transform algorithm.

[0088] For the second component, the vibration frequency of the second component at each moment is determined based on the number of teeth on the gears of the reducer of the hoisting mechanism and the drum rotation speed at each moment. It should be noted that the gear precision of the reducer may include multiple grades, and the gear precision grade of the reducer may differ for different hoisting mechanisms. In this embodiment, the vibration frequency of the second component at each moment is calculated by obtaining the number of teeth on the first stage gear and the last stage gear of the reducer, combined with the drum rotation speed at each moment. For example, if the drum rotation speed is N1, the number of teeth on the last stage gear of the reducer is Z1, and the number of teeth on the first stage gear is Z2, then the vibration frequency f1 of the drum can be calculated.

[0089] f1 = N1 / 60

[0090] The vibration frequency f2 of the reducer gear:

[0091] f2=f1*Z1

[0092] The motor's vibration frequency f3:

[0093] f3 = f1 * Z1 / Z2

[0094] In this embodiment, different vibration frequency determination methods are used for different components to improve the effectiveness of vibration frequency determination, thereby improving the accuracy of the data basis for identifying the noise source of the hoisting mechanism.

[0095] In one embodiment, when there are multiple target components, determining whether resonance exists between the target components based on the vibration frequencies of each target component at different drum speeds includes:

[0096] When there are multiple target components, determine whether there is a pre-set excitation source component among the target components;

[0097] In the presence of a preset excitation source component, for each other component, based on a second difference threshold, it is determined whether there is an abnormal vibration frequency in the vibration frequency of the other components at different drum speeds. Here, the other components are the target components other than the preset excitation source component.

[0098] In the presence of abnormal vibration frequencies, the vibration frequency of the preset excitation source components is determined based on the drum rotation speed corresponding to the abnormal vibration frequency.

[0099] When the abnormal vibration frequency matches the vibration frequency of the preset excitation source component, it is determined that there is a resonance phenomenon between other components and the preset excitation source component.

[0100] It should be noted that resonance refers to the phenomenon where a physical system vibrates with a larger amplitude at its resonant frequency than at other frequencies. When the external frequency matches the natural frequency of an object, the object vibrates with a larger amplitude, and the system stores kinetic energy. In this embodiment, the preset excitation source component refers to a component that generates an operating frequency other than its natural frequency during the operation of the hoisting mechanism, such as a motor. The motor vibrates during operation, and the vibration frequency of this vibration is the operating frequency. Other target components, besides the preset excitation source component, are components that do not generate their own operating frequency, such as the mounting frame. When there are multiple target components, it is highly likely that the natural frequency of the other components matches the operating frequency of the preset excitation source component, causing the other components to vibrate with a larger amplitude, i.e., resonance occurs.

[0101] Specifically, in this embodiment, if there are multiple target components, it is determined whether a preset excitation source component exists among the target components. If a preset excitation source component exists, resonance may occur because its operating frequency matches the natural frequency of other components. Therefore, when a preset excitation source component exists, it is determined whether other components have abnormal vibration frequencies. If other components have abnormal vibration frequencies, the vibration frequency of the preset excitation source component at the same drum speed as the abnormal vibration frequency is determined. If the abnormal vibration frequency matches the vibration frequency of the preset excitation source component, it is determined that there is resonance between the other component and the preset excitation source component.

[0102] Specifically, in one embodiment, determining whether there are abnormal vibration frequencies among the vibration frequencies of other components at different drum speeds based on a second difference threshold includes:

[0103] For each first vibration frequency of other components, the frequency difference between the first vibration frequency and all other first vibration frequencies is determined. The first vibration frequency is the vibration frequency of other components at different drum speeds, and the other first vibration frequencies are the remaining first vibration frequencies other than the current first vibration frequency.

[0104] The first vibration frequency in which all frequency differences are greater than the second difference threshold is defined as the abnormal vibration frequency.

[0105] It should be noted that the vibration frequencies of other components at different drum speeds are used as the first vibration frequencies. Other first vibration frequencies are the remaining first vibration frequencies excluding the current one. For each first vibration frequency of other components, the frequency difference between that first vibration frequency and all other first vibration frequencies is determined. For example, taking the mounting frame as an example of other components, refer to... Figure 7 ,exist Figure 7 The data includes vibration spectrum diagrams of the mounting frame wall at low, medium, and high drum speeds. It can be seen that the first vibration frequency of the mounting frame at the medium drum speed is significantly different from the first vibration frequencies at the other two drum speeds. In other words, the frequency difference between the first vibration frequency of the mounting frame at the medium drum speed and the other first vibration frequencies (the first vibration frequency of the mounting frame at the low drum speed and the first vibration frequency of the mounting frame at the high drum speed) is greater than the second difference threshold. Therefore, the first vibration frequency of the mounting frame at the medium drum speed is an abnormal vibration frequency.

[0106] Please refer to the above. Figure 8 ,exist Figure 8 The data includes vibration spectrum diagrams of the motor wall surface at low, medium, and high drum speeds. Taking the mounting frame as an example with other components and the motor as the preset excitation source, after determining the abnormal vibration frequency of the mounting frame, the vibration frequency of the motor at the medium drum speed is determined based on the corresponding abnormal vibration frequency. Figure 7 and Figure 8 It can be seen that when the drum speed is the same as the drum speed, the abnormal vibration frequency of the mounting frame matches the vibration frequency of the motor, which is about 660Hz. Therefore, it is determined that the mounting frame and the motor resonate at this time.

[0107] In this embodiment, by identifying whether other components resonate with the preset excitation source components, the resonance information can provide reference suggestions for the allocation or adjustment of the natural frequency of the hoisting mechanism components, and provide a basis for optimizing the vibration and noise characteristics of the hoisting mechanism.

[0108] This application embodiment also provides a noise source identification device, including:

[0109] The memory is configured to store instructions;

[0110] The processor is configured to retrieve the instructions from the memory and, when executing the instructions, to implement the noise source identification method as described in the above embodiments.

[0111] This application also provides an engineering device, including:

[0112] The noise source identification device as described in the above embodiments;

[0113] Hoisting mechanism.

[0114] This application also provides a machine-readable storage medium storing instructions that cause a machine to perform the noise source identification method as described in the above embodiments.

[0115] Those skilled in the art will understand that embodiments of this application can be provided as methods, systems, or computer program products. Therefore, this application can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, this application can take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0116] This application is described with reference to flowchart illustrations and / or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of this application. It will be understood that each block of the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, special-purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, generate instructions for implementing the flowchart... Figure 1 One or more processes and / or boxes Figure 1 A device that provides the functions specified in one or more boxes.

[0117] These computer program instructions may also be stored in a computer-readable storage medium that can direct a computer or other programmable data processing device to function in a particular manner, such that the instructions stored in the computer-readable storage medium produce an article of manufacture including instruction means, which are implemented in a process Figure 1 One or more processes and / or boxes Figure 1 The function specified in one or more boxes.

[0118] These computer program instructions may also be loaded onto a computer or other programmable data processing equipment to cause a series of operational steps to be performed on the computer or other programmable equipment to produce a computer-implemented process, thereby providing instructions that execute on the computer or other programmable equipment for implementing the process. Figure 1 One or more processes and / or boxes Figure 1 The steps of the function specified in one or more boxes.

[0119] In a typical configuration, a computing device includes one or more processors (CPU), input / output interfaces, network interfaces, and memory.

[0120] Memory may include non-persistent memory in computer-readable media, such as random access memory (RAM) and / or non-volatile memory, such as read-only memory (ROM) or flash RAM. Memory is an example of computer-readable media.

[0121] Computer-readable media includes both permanent and non-permanent, removable and non-removable media that can store information using any method or technology. Information can be computer-readable instructions, data structures, modules of programs, or other data. Examples of computer storage media 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 memory technologies, CD-ROM, digital versatile optical disc (DVD) or other optical storage, magnetic tape, disk storage or other magnetic storage devices, or any other non-transferable medium that can be used to store information accessible by a computing device. As defined herein, computer-readable media does not include transient computer-readable media, such as modulated data signals and carrier waves.

[0122] It should also be noted that 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 process, method, article, or apparatus. Unless otherwise specified, 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.

[0123] The above are merely embodiments of this application and are not intended to limit the scope of this application. Various modifications and variations can be made to this application by those skilled in the art. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of this application should be included within the scope of the claims of this application.

Claims

1. A method for identifying noise sources, characterized in that, The noise source identification method, applied to hoisting mechanisms, includes: The near-field noise of the hoisting mechanism at different times during operation is obtained; The vibration frequencies of each component of the winch mechanism at different times are determined based on the drum rotation speed of the winch mechanism at different times. The target time in each of the aforementioned times is determined based on the abnormal frequencies in the near-field noise. The target component is determined based on all the vibration frequencies and the abnormal frequencies corresponding to the target time. When there are multiple target components, the presence of resonance between the target components is determined based on the vibration frequency of each target component at different drum speeds. In the presence of the resonance phenomenon, a noise source identification result is generated based on the target component and the resonance information, wherein the resonance information is the vibration frequency of the target component that generates the resonance phenomenon.

2. The noise source identification method according to claim 1, characterized in that, The components include a first component and a second component. Determining the vibration frequency of each component of the hoisting mechanism at each of the stated times, based on the drum rotation speed of the hoisting mechanism at each stated time, includes: For the first component, the vibration acceleration of the first component is obtained by a vibration acceleration sensor installed on the surface of the first component; The vibration frequency of each of the first components at each of the stated times is determined based on the vibration acceleration; and / or, For the second component, the vibration frequency of the second component at each of the said times is determined based on the number of teeth of the gear of the reducer of the hoisting mechanism and the rotational speed of the drum at each of the said times.

3. The noise source identification method according to claim 2, characterized in that, Determining the vibration frequency of each of the first components at each of the stated times based on the vibration acceleration includes: The vibration acceleration data is preprocessed; Based on the acquisition time, the vibration acceleration after data preprocessing is subjected to Fourier transform to obtain the vibration frequency of each of the first components at each time.

4. The noise source identification method according to claim 1, characterized in that, The determination of the target component based on all the vibration frequencies and the abnormal frequencies corresponding to the target time includes: Compare each of the vibration frequencies corresponding to the target time with the abnormal frequency; The portion of all vibration frequencies whose difference from the abnormal frequency is less than a first difference threshold is taken as the target vibration frequency; The component corresponding to the target vibration frequency is identified as the target component.

5. The noise source identification method according to claim 1, characterized in that, When there are multiple target components, determining whether there is resonance between the target components based on the vibration frequency of each target component at different drum speeds includes: In the case where there are multiple target components, it is determined whether there is a preset excitation source component among the target components; In the presence of the preset excitation source component, for each other component, based on the second difference threshold, it is determined whether there is an abnormal vibration frequency in the vibration frequency of the other component at different drum speeds, wherein the other components are the target components other than the preset excitation source component among the target components; In the presence of the abnormal vibration frequency, the vibration frequency of the preset excitation source component is determined based on the drum rotation speed corresponding to the abnormal vibration frequency. If the abnormal vibration frequency matches the vibration frequency of the preset excitation source component, it is determined that there is a resonance phenomenon between the other components and the preset excitation source component.

6. The noise source identification method according to claim 5, characterized in that, The step of determining whether there are abnormal vibration frequencies in the vibration frequencies of the other components at different drum speeds based on the second difference threshold includes: For each of the other components' first vibration frequencies, the frequency difference between the first vibration frequency and all other first vibration frequencies is determined, wherein the first vibration frequency is the vibration frequency of the other components at different drum speeds, and the other first vibration frequencies are the remaining first vibration frequencies among all the first vibration frequencies except the current first vibration frequency; The first vibration frequency in which all the frequency differences are greater than the second difference threshold is defined as the abnormal vibration frequency.

7. The noise source identification method according to claim 1, characterized in that, The acquisition of near-field noise of the hoisting mechanism at different times includes: The near-field noise of the hoisting mechanism at different times is obtained based on the microphone, wherein the reference axis of the microphone is parallel to the horizontal plane, the distance between the microphone and the end face of the rotation center of the reducer of the hoisting mechanism is a preset distance, the angle between the microphone and the preset plane is a preset angle, and the preset plane is parallel to the rotation axis of the reducer and perpendicular to the horizontal plane.

8. A noise source identification device, characterized in that, include: The memory is configured to store instructions; A processor is configured to retrieve the instructions from the memory and, when executing the instructions, to implement the noise source identification method according to any one of claims 1 to 7.

9. An engineering device, characterized in that, include: The noise source identification device according to claim 8; Hoisting mechanism.

10. A machine-readable storage medium, characterized in that, The machine-readable storage medium stores instructions for causing the machine to perform the noise source identification method according to any one of claims 1 to 7.

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