Floor vibration monitoring method and device, electronic equipment, system and storage medium
By setting vibration sensors on multiple target devices and forming parameter matrix, combining boundary conditions and vibration attenuation function, the problems of manual detection in the prior art are solved, and efficient and accurate floor vibration monitoring is achieved.
Patent Information
- Application Number
- CN202411749140.9
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-11-29
- Publication Date
- 2025-04-08
AI Technical Summary
In the prior art, manual detection of floor vibration data is time-consuming and labor-intensive. The data is discrete data points and cannot reflect the vibration state of the entire scene area. Asynchronous measurement may lead to inaccurate data.
By setting up vibration sensors on multiple target devices, the floor vibration data of each device point is obtained, and a parameter matrix is formed based on the boundary conditions of the monitoring area, vibration attenuation function and vibration data, and the vibration status of the monitoring area is reflected in combination with the vibration source distribution data of the multiple device points.
It realizes the acquisition of vibration data at multiple device points at the same time, improves detection efficiency and data accuracy, and can more accurately reflect the vibration state of the entire scene area.
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Figure CN119779467A_ABST
Abstract
Description
Technical Field
[0001] The present application relates to the field of vibration monitoring technology, and in particular to a floor vibration monitoring method and device, electronic equipment, system and storage medium. Background Art
[0002] In some scenarios where precision processing equipment is concentrated, when a piece of equipment vibrates abnormally, it may affect the processing accuracy of other surrounding equipment through floor vibration transmission. In order to ensure the stability of the processing conditions of precision processing equipment and prevent the equipment from continuing to operate under abnormal or faulty conditions, the equipment can be monitored through vibration monitoring.
[0003] In some conventional monitoring methods, detection equipment is usually carried out manually at different points in the scene, and the detection points and detection data are manually recorded, and abnormal points are marked according to the detection data. The above manual detection method is time-consuming and labor-intensive, and the multiple detection side data obtained by detection are discrete data points, which cannot reflect the vibration state of the entire scene area. In addition, the measurement time of each point is different, which is asynchronous measurement, which may lead to inaccurate data. Summary of the invention
[0004] The embodiments of the present application provide a floor vibration monitoring method and device, electronic device, system and storage medium. Through this method, vibration data of multiple equipment points can be obtained simultaneously, thereby improving detection efficiency and data accuracy. Further, based on the boundary conditions of the monitoring area, the vibration attenuation function and the vibration data, a two-dimensional dot matrix is added to the monitoring area to form a parameter matrix. The vibration source distribution data of multiple equipment points in the parameter matrix can be combined to reflect the vibration conditions of the monitoring area.
[0005] In a first aspect, an embodiment of the present application provides a floor vibration monitoring method, comprising: acquiring sensing data of a vibration sensor, wherein the vibration sensor is arranged on a target device, and a plurality of the target devices are placed in a target area; acquiring floor vibration data of the target device based on the sensing data of the vibration sensor; adding the boundary conditions and vibration attenuation function of the target area and the floor vibration data of the target device to a two-dimensional dot matrix of the target area to form a parameter matrix; generating single-source vibration distribution data of a plurality of target devices based on the parameter matrix; and synthesizing the single-source vibration distribution data of the plurality of target devices into multi-source vibration distribution data of the target area.
[0006] In a possible implementation, the acquisition of floor vibration data of the target device based on the sensing data of the vibration sensor includes: acquiring at least vertical vibration data in the vertical axis direction of the vibration sensing data; performing Fourier transform on the vertical vibration data to obtain frequency domain data; filtering the frequency domain data to obtain first vibration data, and performing inverse Fourier transform on the first vibration data to obtain second vibration data; performing Hilbert-Huang transform on the second vibration data to obtain third vibration data, and performing empirical mode decomposition on the third vibration data to obtain multiple intrinsic modal components; calculating multiple peak-to-peak values based on the multiple intrinsic modal components; averaging the multiple peak-to-peak values, and determining the averaged data as the floor vibration data of the target device.
[0007] In a possible implementation, the method of calculating multiple peak-to-peak values based on the multiple intrinsic modal components includes: filtering to obtain target intrinsic modal components that meet a preset type among the multiple intrinsic modal components; synthesizing the target intrinsic modal components into a signal to be processed; performing invalid signal removal processing on the signal to be processed, and dividing the processed signal into multiple sub-signals; and calculating the peak-to-peak values corresponding to the multiple sub-signals.
[0008] In a possible implementation, the adding of the boundary conditions and vibration attenuation function of the target area and the floor vibration data of the target device to the two-dimensional dot matrix of the target area to form the parameter matrix includes: obtaining a preset boundary condition of the target area, wherein the boundary condition is a boundary set based on the building structure information of the target area; obtaining a preset attenuation function of the target area, wherein the attenuation function is a vibration attenuation function calculated based on a preset model; obtaining a preset two-dimensional dot matrix of the target area, wherein the two-dimensional dot matrix is a dot matrix obtained by discretizing the target area based on a preset resolution; and adding the boundary conditions, the attenuation function and the floor vibration data of the target device to the two-dimensional dot matrix to form the parameter matrix.
[0009] In a possible implementation, the building structure information includes the point information and size information of the target structure in the target area and the point information of the target device, and the target structure includes a wall structure and a beam-column structure; wherein the point information of the target structure in the target area and the point information of the target device are set to an infinite boundary; the target structure forms a fixed boundary, and the property of the fixed boundary is that the vibration radiates and attenuates toward the periphery along the fixed boundary.
[0010] In a possible implementation, after forming the parameter matrix, the method further includes: performing plane interpolation on points with missing data in the parameter matrix based on the attenuation function, and acquiring a parameter matrix with complete data.
[0011] In a second aspect, an embodiment of the present application further provides a floor vibration monitoring and control device, comprising: a processor and a memory, wherein the memory is used to store at least one instruction, and when the instruction is loaded and executed by the processor, the floor vibration monitoring method provided in the first aspect is implemented.
[0012] In a third aspect, an embodiment of the present application further provides a computer-readable storage medium having a computer program stored thereon, and when the computer program is executed by a processor, the floor vibration monitoring method provided in the first aspect is implemented.
[0013] In a fourth aspect, an embodiment of the present application further provides an electronic device, characterized in that the electronic device includes the floor vibration monitoring and control device provided in the second aspect.
[0014] In the fifth aspect, an embodiment of the present application also provides a floor vibration monitoring system, comprising: a plurality of vibration sensors, which are arranged on a plurality of target devices, for acquiring sensing data of the vibration sensors, wherein the plurality of target devices are placed in a target area; and the electronic device provided in the fourth aspect, which is connected to the plurality of vibration sensors by wire or wirelessly.
[0015] Through the above technical solution, vibration sensors can be set on multiple target devices to obtain floor vibration data of each target device point through sensor data. Through this method, vibration data of multiple device points can be obtained at the same time, thereby improving monitoring efficiency and data accuracy. Further, based on the boundary conditions of the monitoring area, vibration attenuation function and vibration data, a two-dimensional dot matrix is added to the monitoring area to form a parameter matrix. The vibration source distribution data of multiple device points in the parameter matrix can be combined to reflect the vibration conditions of the monitoring area. BRIEF DESCRIPTION OF THE DRAWINGS
[0016] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, a brief introduction will be given below to the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative labor.
[0017] Figure 1 A schematic diagram of the relevant scenarios of this application;
[0018] Figure 2 A schematic diagram of manually detecting vibration data in the related art;
[0019] Figure 3 A schematic diagram of a floor vibration monitoring method flow chart provided in one embodiment of the present application;
[0020] Figure 4 A schematic diagram of a two-dimensional dot matrix of a target area provided in one embodiment of the present application;
[0021] Figure 5 A schematic diagram of data segmentation processing provided for one embodiment of the present application;
[0022] Figure 6 A schematic diagram of single-source vibration distribution data provided for one embodiment of the present application;
[0023] Figure 7 A schematic diagram of multi-source vibration distribution data provided for one embodiment of the present application. DETAILED DESCRIPTION
[0024] In order to make the purpose, technical solution and advantages of the embodiments of the present application clearer, the technical solution in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.
[0025] Figure 1 This is a schematic diagram of the relevant scenarios of this application.
[0026] Reference Figure 1 As shown, multiple devices 100 can be placed in a certain scene area, and the multiple devices 100 need to run simultaneously to perform related operations. For example, the multiple devices 100 can be fine processing equipment, and the fine processing equipment has certain requirements for the equipment operation environment. For example, the vibration intensity of the environment needs to be lower than a certain set value. If it exceeds the set value, it will affect the precision of the equipment processing. Therefore, it is necessary to monitor the vibration data of the operating environment of the fine processing equipment to ensure the stability of the equipment operating environment.
[0027] Figure 2 It is a schematic diagram of manually detecting vibration data in the related art.
[0028] Reference Figure 2As shown, in some vibration monitoring methods of related technologies, generally, a worker carries a vibration detection device D1 to perform vibration detection at set points in turn, and then obtains vibration data of each set point in turn. However, the above-mentioned manual detection method requires the worker to enter the scene area where the equipment is running and find the corresponding points for vibration detection. This manual detection method is time-consuming and labor-intensive, and the multiple detection side data obtained by the detection are discrete data points, which cannot reflect the vibration state of the entire scene area. At the same time, due to the different measurement times of each point, it is an asynchronous measurement, which may lead to inaccurate data.
[0029] In order to overcome the above-mentioned technical problems, an embodiment of the present application provides a floor vibration monitoring method, through which vibration sensors can be set on multiple target devices to obtain floor vibration data of each target device point through sensor data. Through this method, vibration data of multiple device points can be obtained at the same time, thereby improving detection efficiency and data accuracy; further, based on the boundary conditions of the monitoring area, the vibration attenuation function and the vibration data, a two-dimensional dot matrix is added to the monitoring area to form a parameter matrix, and the vibration source distribution data of multiple device points in the parameter matrix can be combined to reflect the vibration condition of the monitoring area.
[0030] The floor vibration monitoring method provided in the embodiment of the present application is described in detail below with reference to the accompanying drawings.
[0031] Figure 3 A schematic flow chart of a floor vibration monitoring method provided in one embodiment of the present application.
[0032] Reference Figure 3 As shown, the method may include the following steps:
[0033] S301: Acquire sensing data of a vibration sensor, where the vibration sensor is disposed on a target device, and a plurality of target devices are placed in a target area.
[0034] In this embodiment, vibration sensors can be pre-installed on multiple target devices within the target area that needs to be monitored, so that the sensor data of the locations of multiple target devices can be automatically acquired at the same time. There is no need for staff to collect data through manual detection, which improves the collection efficiency and can achieve simultaneous collection of multiple points, that is, synchronous collection.
[0035] In some embodiments, in addition to setting a vibration sensor for the target device, some other preset steps may be performed, which may specifically include:
[0036] S1: Obtain the boundary conditions of the target area.
[0037] In some embodiments, the boundary conditions of the target area can be obtained based on the building information of the target area. The building information may include the overall size information of the target area and the position information and size information of the target structure. The overall size information may include the length and width information of the target area, and the target structure includes beams, columns, walls, etc. Further, the position information of the target device set in the target area can also be obtained. In this embodiment, the target area can be converted into a two-dimensional dot matrix with a preset accuracy, and then the point information of the target structure and the target device relative to the two-dimensional dot matrix can be determined.
[0038] Figure 4 A schematic diagram of a two-dimensional dot matrix of a target area provided for one embodiment of the present application.
[0039] Reference Figure 4 As shown, multiple target devices 100 are set in the target area, and the target structure of the target area includes walls 401 and four beams 402 on all sides. The target area is converted into a two-dimensional dot matrix with an accuracy of m*n, and the multiple target devices 100 and the walls 401 and beams 402 in the key area are determined to be equivalent to the point information of the two-dimensional dot matrix, wherein the point information can be equivalent to the coordinate information of the two-dimensional dot matrix, and illustratively, the point information of one target device 100 relative to the two-dimensional dot matrix is (x1, y1).
[0040] In some embodiments, the building structure information can be obtained through the building structure diagram of the target area, and the building structure information includes the point information (i.e., the coordinate information relative to the two-dimensional dot matrix) and size information of the target structure in the target area and the point information (i.e., the coordinate information relative to the two-dimensional dot matrix) of the target structure and the target device. The target structure includes a wall structure and a beam-column structure. Furthermore, the boundary conditions of the target area can also be set based on the building structure information. Among them, the point information of the target structure in the target area and the point information of the target device are set to an infinite boundary; the target structure forms a fixed boundary, and the property of the fixed boundary is that the vibration radiates and decays to the periphery along the fixed boundary.
[0041] S2: Obtain the vibration attenuation function of the target area.
[0042] In this embodiment, a model can be established in a preset simulation model according to the architectural structure information of the target area, and the propagation mode of the vibration in the target area can be calculated by randomly setting the excitation source. Further, after the propagation mode of the vibration in the target area is calculated, the attenuation relationship of the vibration when propagating at each point in the target area can be determined by data extraction. In this embodiment, the extracted vibration data can be input into the preset model to calculate the attenuation relationship of the vibration when propagating between each point in the two-dimensional dot matrix, that is, to obtain the vibration attenuation function of the target area, wherein the attenuation function can be set as a cubic function.
[0043] S302: Acquire floor vibration data of the target device based on the sensing data of the vibration sensor.
[0044] In this embodiment, a specific implementation method of acquiring floor vibration data of a target device based on sensing data of a vibration sensor may include the following sub-steps:
[0045] S302a: Obtain vertical vibration data in the vertical axis (Z axis) direction in the vibration sensing data.
[0046] S302b: Perform Fourier transform on the vertical vibration data to obtain frequency domain data.
[0047] S302c: Filter the frequency domain data to obtain first vibration data, and perform inverse Fourier transform on the first vibration data to obtain second vibration data.
[0048] In this embodiment, the acquired frequency domain data may be filtered by a Butterworth low-pass filter to obtain low-frequency vibration data (ie, first vibration data).
[0049] S302d: Performing Hilbert-Huang Transform (HHT) on the second vibration data to obtain third vibration data, and performing empirical mode decomposition on the third vibration data to obtain a plurality of intrinsic mode functions (IMFs).
[0050] S302e: Calculate multiple peak-to-peak values based on multiple intrinsic modal components.
[0051] In this embodiment, calculating multiple peak-to-peak values based on multiple intrinsic modal components includes: filtering to obtain target intrinsic modal components that meet preset types among multiple intrinsic modal components; synthesizing the target intrinsic modal components into a signal to be processed; performing invalid signal removal processing on the signal to be processed, and dividing the processed signal into multiple sub-signals; and calculating the peak-to-peak values corresponding to the multiple sub-signals.
[0052] S302f: Perform average processing on the multiple peak-to-peak values, and determine the averaged data as the floor vibration data of the target device.
[0053] In some embodiments, after obtaining the vertical vibration data in the Z-axis direction, the collected Z-axis vibration data can be passed through a low-pass filter to obtain low-frequency vibration data. In order to reduce the noise interference in the calculation of vibration intensity during the collection process, it is processed in sections, such as Figure 5 As shown, the peak-to-peak value of each segment is calculated, and the method of calculating the peak-to-peak value of each segment can be shown in Formula 1:
[0054] Z pp1 =max1-min1
[0055] …
[0056] Z ppn =max n -min n
[0057] Formula 1
[0058] As shown in Formula 1, the segment processing process can be divided into n segments, wherein the peak-to-peak value of each segment can be obtained by calculating the difference between the maximum value max and the minimum value min of the segment.
[0059] After obtaining the peak-to-peak value of each section, the floor vibration intensity value of the current target device can be obtained by averaging through Formula 2.
[0060]
[0061] S303: adding the boundary conditions and vibration attenuation function of the target area and the floor vibration data of the target device to the two-dimensional dot matrix of the target area to form a parameter matrix.
[0062] In some embodiments, the boundary conditions and vibration attenuation function of the target area and the floor vibration data of the target device are added to the two-dimensional dot matrix of the target area to form a parameter matrix, including: obtaining a preset boundary condition of the target area, wherein the boundary condition is a boundary set based on the building structure information of the target area; obtaining a preset attenuation function of the target area, wherein the attenuation function is a vibration attenuation function calculated based on a preset model; obtaining a preset two-dimensional dot matrix of the target area, wherein the two-dimensional dot matrix may be a dot matrix obtained by discretizing the target area based on a preset resolution; adding the boundary conditions, the attenuation function and the floor vibration data of the target device to the two-dimensional dot matrix to form a parameter matrix.
[0063] In this embodiment, the target area can be discretized according to the set resolution, and specifically the target area can be discretized into a two-dimensional dot matrix. The set resolution can be a preset precision, such as a two-dimensional dot matrix of m*n, and the specific precision value can be pre-customized based on the area of the target area and user needs.
[0064] Since the boundary conditions and vibration attenuation function of the target area are obtained in advance, the boundary conditions and vibration attenuation function obtained in advance, the floor vibration data obtained in S302 and the discrete two-dimensional dot matrix can be combined to form a parameter matrix.
[0065] In this embodiment, after the parameter matrix is formed, plane interpolation can be performed on the points with missing data in the parameter matrix based on the attenuation function to obtain a parameter matrix with complete data. That is, for points without data, plane interpolation is performed according to the vibration attenuation function.
[0066] S304: Generate single-source vibration distribution data of multiple target devices based on the parameter matrix.
[0067] In this embodiment, the single-source vibration distribution data of each target device can be acquired based on the matrix parameters, that is, the single-source vibration distribution data formed by each target device as a vibration source.
[0068] Figure 6 A schematic diagram of single-source vibration distribution data provided for one embodiment of the present application.
[0069] Reference Figure 6 As shown, the single-source vibration distribution data formed by each target device as a vibration source can distinguish the vibration intensity at different locations by color.
[0070] S305: Combining the single-source vibration distribution data of multiple target devices into multi-source vibration distribution data of the target area.
[0071] Since single-source vibration distribution data can only obtain the vibration conditions of the corresponding target device location and cannot obtain the impact of vibration between devices, the single-source vibration distribution data of multiple target devices can be superimposed and synthesized to obtain multi-source vibration distribution data of the target area.
[0072] Figure 7 A schematic diagram of multi-source vibration distribution data provided for one embodiment of the present application.
[0073] Reference Figure 7 As shown, the vibration data can be superimposed through a preset algorithm to synthesize the single-source vibration distribution data of multiple target devices into multi-source vibration distribution data of the target area, thereby obtaining the overall vibration intensity distribution of the target area.
[0074] It should be noted that the terminals involved in the embodiments of the present application may include but are not limited to personal computers (PCs), personal digital assistants (PDAs), wireless handheld devices, tablet computers, mobile phones, MP3 players, MP4 players, etc.
[0075] It is understandable that the application may be an application program (nativeApp) installed on the terminal, or may be a web page program (webApp) of a browser on the terminal, and this embodiment of the present application does not limit this.
[0076] Those skilled in the art can clearly understand that, for the convenience and brevity of description, the specific working processes of the systems, devices and units described above can refer to the corresponding processes in the aforementioned method embodiments and will not be repeated here.
[0077] In the several embodiments provided in the present application, it should be understood that the disclosed systems, devices and methods can be implemented in other ways. For example, the device embodiments described above are only schematic. For example, the division of the units is only a logical function division. There may be other division methods in actual implementation. For example, multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be an indirect coupling or communication connection through some interfaces, devices or units, which can be electrical, mechanical or other forms.
[0078] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.
[0079] In addition, each functional unit in each embodiment of the present application may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit. The above-mentioned integrated unit may be implemented in the form of hardware or in the form of hardware plus software functional units.
[0080] The above-mentioned integrated unit implemented in the form of a software functional unit can be stored in a computer-readable storage medium. The above-mentioned software functional unit is stored in a storage medium, including a number of instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) or a processor (Processor) to perform some steps of the method described in each embodiment of the present application. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (Read-Only Memory, ROM), random access memory (Random Access Memory, RAM), disk or optical disk and other media that can store program codes.
[0081] The above description is only a preferred embodiment of the present application and is not intended to limit the present application. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present application shall be included in the scope of protection of the present application.
[0082] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present application, rather than to limit it. Although the present application has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or replace some or all of the technical features therein with equivalents. However, these modifications or replacements do not cause the essence of the corresponding technical solutions to deviate from the scope of the technical solutions of the embodiments of the present application.
Claims
1. A floor vibration monitoring method, characterized in that: The method comprises: Acquiring sensing data of a vibration sensor, wherein the vibration sensor is disposed on a target device, and a plurality of the target devices are placed in a target area; Acquiring floor vibration data of the target device based on the sensing data of the vibration sensor; Adding the boundary conditions and vibration attenuation function of the target area and the floor vibration data of the target device to the two-dimensional dot matrix of the target area to form a parameter matrix; generating single-source vibration distribution data of a plurality of target devices based on the parameter matrix; The single-source vibration distribution data of a plurality of target devices are synthesized into multi-source vibration distribution data of the target area.
2. According to the method of claim 1, the acquiring floor vibration data of the target device based on the sensing data of the vibration sensor comprises: At least obtaining vertical vibration data in the vertical axis direction of the vibration sensing data; Performing Fourier transform on the vertical vibration data to obtain frequency domain data; Performing filtering processing on the frequency domain data to obtain first vibration data, and performing inverse Fourier transform on the first vibration data to obtain second vibration data; Performing Hilbert-Huang transform on the second vibration data to obtain third vibration data, and performing empirical mode decomposition on the third vibration data to obtain a plurality of connotation modal components; Calculating multiple peak-to-peak values based on the multiple intrinsic modal components; The multiple peak-to-peak values are averaged, and the averaged data are determined as the floor vibration data of the target device.
3. The method according to claim 2, characterized in that The calculating of a plurality of peak-to-peak values based on the plurality of intrinsic modal components comprises: Filtering to obtain a target connotative modal component that meets a preset type among the multiple connotative modal components; synthesizing the target connotation modal components into a signal to be processed; Performing invalid signal deletion processing on the signal to be processed, and dividing the processed signal into multiple sub-signals; Calculate the peak-to-peak value corresponding to multiple sub-segment signals.
4. The method according to claim 1, characterized in that The step of adding the boundary conditions and vibration attenuation function of the target area and the floor vibration data of the target device to the two-dimensional dot matrix of the target area to form a parameter matrix comprises: Acquire a preset boundary condition of the target area, wherein the boundary condition is a boundary set based on the building structure information of the target area; Acquire a preset attenuation function of the target area, wherein the attenuation function is a vibration attenuation function calculated based on a preset model; Acquire a preset two-dimensional dot matrix of the target area, wherein the two-dimensional dot matrix is a dot matrix obtained by discretizing the target area based on a preset resolution; The boundary conditions, the attenuation function and the floor vibration data of the target device are added to the two-dimensional dot matrix to form the parameter matrix.
5. The method according to claim 4, characterized in that The building structure information includes the location information and size information of the target structure in the target area, and the location information of the target equipment, wherein the target structure includes a wall structure and a beam-column structure; Wherein, the point information of the target structure and the point information of the target device in the target area are set as an infinite distance boundary; The target structure forms a fixed boundary, and the property of the fixed boundary is that vibration radiates and decays toward the periphery along the fixed boundary.
6. The method according to claim 1, characterized in that After forming the parameter matrix, the method further includes: Based on the attenuation function, plane interpolation is performed on the points with missing data in the parameter matrix, and a parameter matrix with complete data is obtained.
7. A floor vibration monitoring and control device, characterized in that: The device comprises: A processor and a memory, wherein the memory is used to store at least one instruction, and when the instruction is loaded and executed by the processor, the floor vibration monitoring method according to any one of claims 1 to 6 is implemented.
8. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the floor vibration monitoring method according to any one of claims 1 to 6 is implemented.
9. An electronic device, characterized in that: The electronic equipment includes the floor vibration monitoring and control device according to claim 7.
10. A floor vibration monitoring system, characterized in that: The system comprises: A plurality of vibration sensors are disposed on a plurality of target devices and are used to obtain sensing data of the vibration sensors, wherein the plurality of target devices are placed in a target area; and The electronic device as claimed in claim 9.
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