Support hanger state monitoring method and system

Abstract

The invention provides a support hanger state monitoring method and system, and the method comprises the steps: obtaining a vibration signal, and carrying out the decomposition and conversion of the vibration signal, so as to obtain a first energy value; performing periodic continuation on the vibration signal to obtain an extended cycle signal, further obtaining a plurality of signal components, selecting a plurality of related components from the signal components, selecting a final component, and obtaining a second energy value corresponding to the support hanger through the final component; acquiring a third energy value through the plurality of correlation components, and further acquiring a final energy value; and obtaining a current energy threshold value based on the final energy values under different time sequences, and determining the real-time state of the support hanger based on the current energy value of the support hanger and the current energy threshold value. Through the above mode, automatic monitoring of the state of the support hanger is realized, compared with a manual monitoring mode, time and manpower are saved, the monitoring efficiency is effectively improved, and the monitoring accuracy is improved.

Description

Technical Field

[0001] The present invention relates to the technical field of data prediction, and in particular to a method and system for monitoring the status of a support and hanger. Background Art

[0002] Supports and hangers are the collective name for brackets and hangers. They play the role of supporting various accessories, restraining and limiting the unreasonable displacement of building components, and controlling the vibration of components in various construction links. They play an extremely important role in the safe operation of building facilities. They are mainly used in mechanical and electrical engineering facilities such as building water supply and drainage, fire protection, heating, ventilation, air conditioning, gas, heat, electricity, and communications.

[0003] The prerequisite for the support and hanger to play its role in the long-term service process is to carry out necessary status monitoring and maintenance on it during its service period to avoid affecting the reliability of the support and hanger.

[0004] The current status monitoring method for supports and hangers is manual monitoring, that is, the status of the supports and hangers is determined by manual inspection. However, due to the particularity of the installation location of the supports and hangers, the manual monitoring method is extremely time-consuming and labor-intensive, and there are cases of false detection and missed detection, and the monitoring efficiency is low. Summary of the invention

[0005] In view of the deficiencies in the prior art, the purpose of the present invention is to provide a method and system for monitoring the status of support brackets, aiming to solve the technical problems in the prior art that manual monitoring of the status of support brackets is extremely time-consuming and labor-intensive, and there are cases of false detection and missed detection, resulting in low monitoring efficiency.

[0006] In order to achieve the above objectives, in a first aspect, an embodiment of the present application provides a method for monitoring the state of a support and hanger, comprising the following steps: Acquire a past vibration data set of the support and hanger, wherein the past vibration data set includes vibration signals in a plurality of time series, and decompose and transform the vibration signals to acquire a first energy value corresponding to the support and hanger; The vibration signal is periodically extended to obtain an extended cycle signal, a plurality of signal components corresponding to the vibration signal are obtained through the extended cycle signal, a plurality of related components are selected from the plurality of signal components, a final component is selected from the plurality of related components, and a second energy value corresponding to the support and hanger is obtained through the final component; An energy spectrum is constructed through a plurality of the related components, and a third energy value corresponding to the support and hanger is obtained through the energy spectrum, and a final energy value corresponding to the support and hanger is obtained through the first energy value, the second energy value and the third energy value; A current energy threshold is obtained based on the final energy value in the adjacent time series, a current energy value of the support and hanger is obtained, and the current energy value is compared with the current energy threshold to determine the real-time status of the support and hanger.

[0007] Compared with the prior art, the beneficial effects of the present invention are as follows: by collecting the vibration signal for subsequent analysis, it is only necessary to set up a vibration collector to collect the overall vibration signal of the support and hanger, so as to complete the subsequent monitoring and analysis, which effectively saves the monitoring cost; after obtaining the vibration signal, by converting the vibration signal into the first energy value, the second energy value and the third energy value respectively, the state of the support and hanger is analyzed from multiple angles based on the vibration signal, and then by obtaining the final energy value, the state of the support and hanger is converted into a numerical value, thereby realizing the state monitoring of the support and hanger, which effectively improves the monitoring efficiency and the accuracy of monitoring compared with the manual monitoring method; through the final energy value under different time series, the normal loss of the support and hanger during service, such as the energy loss caused by aging, can be estimated, and then the current energy threshold at different time points can be dynamically given to avoid the error of state evaluation caused by normal loss, thereby further improving the accuracy and efficiency of state monitoring.

[0008] Further, the step of decomposing and converting the vibration signal to obtain a first energy value corresponding to the support and hanger includes: Performing several decomposition processes on the vibration signal to divide the vibration signal into several frequency bands and obtaining several frequency band sub-signals; Selecting a plurality of target sub-signals from the plurality of frequency band sub-signals, and restoring the plurality of target sub-signals to a target signal; A first energy value corresponding to the support and hanger is obtained through the target signal.

[0009] Furthermore, the step of obtaining a first energy value corresponding to the support and hanger through the target signal includes: Performing Fourier transformation on the target signal to obtain vibration characteristics; Obtaining fixed features based on fixed parameters of the support and hanger, and superimposing the vibration features and the fixed features as initial frequency features; Perform an inverse Fourier transform on the initial frequency feature to obtain a final frequency feature, and obtain a first energy value according to the final frequency feature.

[0010] Furthermore, the vibration characteristic acquisition formula is: , in, Represents the vibration characteristics, Indicates the target signal, represents a complex exponential function, where represents pi, represents the imaginary unit, represents a frequency variable, represents the time variable, represents the differential of a time variable; The formula for obtaining the fixed feature is: , in, represents a fixed feature, Indicates the rigidity of the support bracket. Indicates the quality of the support bracket. Indicates the damping of the support bracket; The calculation formula of the first energy value is: , in, represents the first energy value, represents the final frequency characteristics, represents the differential of the time variable, Indicates the length of the time variable.

[0011] Furthermore, the step of obtaining a plurality of signal components corresponding to the vibration signal through the extended cycle signal includes: Performing correlation processing on the extended cycle signal to obtain a correlation signal; Acquire a maximum value and a minimum value in the correlation signal, construct a first envelope curve and a second envelope curve based on the maximum value and the minimum value, respectively, and acquire a mean curve through the first envelope curve and the second envelope curve; Acquire an intermediate component based on the correlation signal and the mean curve, and determine whether a difference between the number of extreme value points and the number of zero-crossing points in the intermediate component is less than a difference threshold; If the difference is less than the difference threshold, determining the intermediate component as a signal component; A residual signal is obtained based on the extended cyclic signal and the signal components, and the residual signal is cyclically processed to obtain a plurality of signal components again.

[0012] Furthermore, the formula for obtaining the correlation signal is: , in, Indicates the associated signal, represents the length of the vibration signal, Indicates the extended loop signal, Indicates that the extended loop signal is delayed The value after.

[0013] Furthermore, the step of selecting a relevant component from a plurality of the signal components comprises: Obtaining component means of a plurality of the signal components, and obtaining a signal mean of the extended cycle signal; A correlation coefficient corresponding to the signal component is obtained through the component mean, the associated signal and the signal mean, and a plurality of related components are selected from the plurality of signal components based on the correlation coefficient.

[0014] Furthermore, the step of selecting a plurality of correlation components from a plurality of the signal components based on the correlation coefficient comprises: comparing the correlation coefficient to a coefficient threshold; The signal components corresponding to the correlation coefficients that are greater than the coefficient threshold are selected as correlation components.

[0015] Furthermore, the step of obtaining the current energy threshold based on the final energy value in different time series includes: Obtaining a first decay coefficient and a second decay coefficient based on the final energy values ​​in different time series; Obtaining a time decay value by using the first decay coefficient and the second decay coefficient; A current energy threshold is obtained based on the initial final energy value and the time decay value.

[0016] In a second aspect, an embodiment of the present application provides a support and hanger state monitoring system, which is applied to the support and hanger state monitoring method as described in the first aspect above, and the system includes: An acquisition module is used to acquire a past vibration data set of the support and hanger, wherein the past vibration data set includes vibration signals in a plurality of time series, and decompose and transform the vibration signals to acquire a first energy value corresponding to the support and hanger; A first processing module is used to periodically extend the vibration signal to obtain an extended cycle signal, obtain a plurality of signal components corresponding to the vibration signal through the extended cycle signal, select a plurality of related components from the plurality of signal components, select a final component from the plurality of related components, and obtain a second energy value corresponding to the support and hanger through the final component; A second processing module is used to construct an energy spectrum through the plurality of related components, and obtain a third energy value corresponding to the support and hanger through the energy spectrum, and obtain a final energy value corresponding to the support and hanger through the first energy value, the second energy value and the third energy value; The prediction module is used to obtain the current energy threshold based on the final energy value under different time series, obtain the current energy value of the support and hanger, and compare the current energy value with the current energy threshold to determine the real-time status of the support and hanger.

[0017] In a third aspect, an embodiment of the present application provides a computer, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein when the processor executes the computer program, the method for monitoring the status of a support bracket as described in the first aspect above is implemented.

[0018] In a fourth aspect, an embodiment of the present application provides a storage medium on which a computer program is stored. When the computer program is executed by a processor, the method for monitoring the status of a support bracket as described in the first aspect above is implemented. BRIEF DESCRIPTION OF THE DRAWINGS

[0019] Figure 1 It is a flow chart of the method for monitoring the state of the support and hanger in the first embodiment of the present invention; Figure 2 It is a structural block diagram of the support and hanger state monitoring system in the second embodiment of the present invention; The following specific implementation manner will further illustrate the present invention in conjunction with the above-mentioned drawings. DETAILED DESCRIPTION

[0020] In order to facilitate the understanding of the present invention, the present invention will be described more fully below with reference to the relevant drawings. Several embodiments of the present invention are given in the drawings. However, the present invention can be implemented in many different forms and is not limited to the embodiments described herein. On the contrary, the purpose of providing these embodiments is to make the disclosure of the present invention more thorough and comprehensive.

[0021] It should be noted that when an element is referred to as being "fixed to" another element, it may be directly on the other element or there may be a central element. When an element is considered to be "connected to" another element, it may be directly connected to the other element or there may be a central element at the same time. The terms "vertical", "horizontal", "left", "right" and similar expressions used herein are for illustrative purposes only.

[0022] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as those commonly understood by those skilled in the art to which the present invention belongs. The terms used herein in the specification of the present invention are only for the purpose of describing specific embodiments and are not intended to limit the present invention. The term "and / or" used herein includes any and all combinations of one or more of the related listed items.

[0023] See also Figure 1The first embodiment of the present invention provides a method for monitoring the state of a support bracket, comprising the following steps: S10: obtaining a past vibration data set of the support and hanger, wherein the past vibration data set includes vibration signals in a plurality of time series, and decomposing and transforming the vibration signals to obtain a first energy value corresponding to the support and hanger; After the support and hanger are installed, a vibration signal sensor is set on the support and hanger to continuously acquire the vibration signal, thereby forming the past vibration data set.

[0024] The step S10 comprises: S110: performing several decomposition processes on the vibration signal to divide the vibration signal into several frequency bands, and obtaining several frequency band sub-signals; A window function is constructed through the fundamental wave, and the vibration signal is decomposed and processed through the window function. Specifically, the scale parameter and the positioning parameter of the fundamental wave can be adjusted accordingly to achieve multiple decompositions of the vibration signal. For example, after the vibration signal is divided into two segment signals through the fundamental wave, the parameters of the fundamental wave can be adjusted to divide the two segment signals again to obtain several sub-segment signals respectively. After each division, it corresponds to a different frequency band, and the segment signal and the sub-segment signal are both frequency band sub-signals.

[0025] S120: selecting a plurality of target sub-signals from the plurality of frequency band sub-signals, and restoring the plurality of target sub-signals to a target signal; Specifically, the frequency band is compared with the frequency band threshold to select a target frequency band from the plurality of frequency bands, and the frequency band sub-signal corresponding to the target frequency band is selected as the target sub-signal. After obtaining the target sub-signal, the target sub-signal is inversely transformed layer by layer through the reconstructed wavelet corresponding to the fundamental wave, thereby obtaining the target signal. It should be noted that the decomposition through the fundamental wave and the restoration through the reconstructed wavelet are both achieved through filters.

[0026] S130: Acquire a first energy value corresponding to the support and hanger through the target signal; Performing Fourier transformation on the target signal to obtain vibration characteristics; The formula for obtaining the vibration characteristics is: , in, Represents the vibration characteristics, Indicates the target signal, represents a complex exponential function, where represents pi, represents the imaginary unit, represents a frequency variable, represents the time variable, represents the differential of a time variable; Obtaining fixed features based on fixed parameters of the support and hanger, and superimposing the vibration features and the fixed features as initial frequency features; The formula for obtaining the fixed feature is: , in, represents a fixed feature, Indicates the rigidity of the support bracket. Indicates the quality of the support bracket. Indicates the damping of the support bracket; Performing an inverse Fourier transform on the initial frequency feature to obtain a final frequency feature, and obtaining a first energy value according to the final frequency feature; The calculation formula of the first energy value is: , in, represents the first energy value, represents the final frequency characteristics, represents the differential of the time variable, Indicates the length of the time variable.

[0027] S20: performing periodic extension on the vibration signal to obtain an extended cycle signal, obtaining a plurality of signal components corresponding to the vibration signal through the extended cycle signal, selecting a plurality of related components from the plurality of signal components, and selecting a final component from the plurality of related components, and obtaining a second energy value corresponding to the support and hanger through the final component; The periodic extension of the vibration signal refers to duplicating the vibration signal several times and connecting several identical vibration signals end to end to form a cyclically stable signal band, namely, the extended cyclic signal.

[0028] The step S20 comprises: S210: performing correlation processing on the extended cycle signal to obtain a correlation signal; The acquisition formula of the correlation signal is: , in, Indicates the associated signal, represents the length of the vibration signal, Indicates the extended loop signal, Indicates that the extended loop signal is delayed The value after.

[0029] S220: Acquire a maximum value and a minimum value in the correlation signal, construct a first envelope and a second envelope based on the maximum value and the minimum value, respectively, and acquire a mean curve through the first envelope and the second envelope; Specifically, cubic spline interpolation is used to connect the maximum value and the minimum value to form the first envelope and the second envelope. Cubic spline interpolation is an interpolation method that realizes smooth connection between data points by constructing a cubic polynomial function that meets certain conditions. Its application is relatively wide and will not be described here. The mean of the first envelope and the second envelope is taken to form the mean curve.

[0030] S230: acquiring an intermediate component based on the correlation signal and the mean curve, and determining whether a difference between the number of extreme value points and the number of zero-crossing points in the intermediate component is less than a difference threshold; The intermediate component can be obtained by subtracting the mean curve from the correlation signal.

[0031] S240: If the difference is less than the difference threshold, determining the intermediate component as a signal component; If the difference is greater than the difference threshold, the intermediate component is taken as a new associated signal, and steps S220 to S240 are repeated until the intermediate component that meets the conditions is obtained, and then the signal component is obtained.

[0032] S250: obtaining a residual signal based on the extended cyclic signal and the signal component, and performing cyclic processing on the residual signal to obtain a plurality of signal components again; The signal component is subtracted from the extended cyclic signal to obtain the residual signal, and steps S220 to S240 are repeated on the residual signal to obtain the signal component again until the residual signal cannot be decomposed again.

[0033] S260: Obtain component means of a plurality of the signal components, and obtain a signal mean of the extended cycle signal; S270: Obtaining a correlation coefficient corresponding to the signal component through the component mean, the associated signal and the signal mean, and selecting a plurality of related components from the plurality of signal components based on the correlation coefficient; The formula for obtaining the correlation coefficient is: , in, represents the correlation coefficient corresponding to the mth signal component, represents the mth signal component, represents the component mean, Indicates the associated signal, represents the mean of the correlation signal, represents the length of the vibration signal, Represents a time variable.

[0034] After obtaining the correlation coefficient, the correlation coefficient is compared with a coefficient threshold, and the signal component corresponding to the correlation coefficient greater than the coefficient threshold is selected as the correlation component. Further, the signal component with the largest correlation coefficient is selected as the final component.

[0035] The formula for obtaining the second energy value is: , in, represents the second energy value, Represents the final amount.

[0036] S30: constructing an energy spectrum through the plurality of related components, and obtaining a third energy value corresponding to the support and hanger through the energy spectrum, and obtaining a final energy value corresponding to the support and hanger through the first energy value, the second energy value, and the third energy value; Specifically, spectrum conversion is performed on each of the related components to obtain the instantaneous frequency and amplitude corresponding to the related component; the instantaneous frequency and the amplitude are projected into the frequency domain to obtain a single component spectrum, and a plurality of the single component spectra are superimposed to form the energy spectrum.

[0037] The formula for obtaining the third energy value is: , in, represents the third energy value, represents the energy spectrum, represents the differential of the angular frequency, represents the lower limit of the frequency interval, After obtaining the first energy value, the second energy value and the third energy value, the average of the first energy value, the second energy value and the third energy value is the final energy value.

[0038] S40: obtaining a current energy threshold based on the final energy values ​​in different time series, obtaining a current energy value of the support and hanger, and comparing the current energy value with the current energy threshold to determine a real-time state of the support and hanger; The step S40 comprises: S410: Obtaining a first decay coefficient and a second decay coefficient based on the final energy values ​​in different time series; The formula for obtaining the first decay coefficient is: , in, represents the first recession coefficient, The total number of time intervals representing different time series, express The final energy value at the moment, express The final energy value at the moment; The formula for obtaining the second decay coefficient is: .

[0039] in, represents the second decay coefficient.

[0040] S420: Obtaining a time decay value by using the first decay coefficient and the second decay coefficient; The formula for obtaining the time decay value is: , in, represents the time decay value, Indicates the time from the installation time to the current state.

[0041] S430: Obtaining a current energy threshold based on the initial final energy value and the time decay value.

[0042] The initial final energy value is the final energy value formed by the vibration signal collected after the installation is completed, and the current energy threshold is formed by the difference between the two. It should be noted that the current energy value and the final energy value are obtained in the same way, which will not be repeated here.

[0043] By collecting the vibration signal for subsequent analysis, it is only necessary to set up a vibration collector to collect the overall vibration signal of the support and hanger to complete the subsequent monitoring and analysis, which effectively saves the monitoring cost; after obtaining the vibration signal, by converting the vibration signal into the first energy value, the second energy value and the third energy value respectively, the state of the support and hanger is analyzed from multiple angles based on the vibration signal, and then by obtaining the final energy value, the state of the support and hanger is converted into a numerical value, thereby realizing the state monitoring of the support and hanger. Compared with the manual monitoring method, it effectively improves the monitoring efficiency and the monitoring accuracy; through the final energy value under different time series, the normal loss of the support and hanger during service, such as the energy loss caused by aging, can be estimated, and then the current energy threshold at different time points can be dynamically given to avoid the error of state evaluation caused by normal loss, further improving the accuracy and efficiency of state monitoring.

[0044] See also Figure 2The second embodiment of the present invention provides a support and hanger status monitoring system, which is applied to the support and hanger status monitoring method described in the above embodiment, and will not be repeated here. As used below, the terms "module", "unit", "subunit", etc. can be a combination of software and / or hardware that implements a predetermined function. Although the devices described in the following embodiments are preferably implemented in software, the implementation of hardware, or a combination of software and hardware, is also possible and conceivable.

[0045] The system comprises: An acquisition module 10 is used to acquire a past vibration data set of the support and hanger, wherein the past vibration data set includes vibration signals in a plurality of time series, and decompose and transform the vibration signals to acquire a first energy value corresponding to the support and hanger; The acquisition module 10 includes: The first unit is used to perform several decomposition processes on the vibration signal to divide the vibration signal into several frequency bands and obtain several frequency band sub-signals; The second unit is used to select a plurality of target sub-signals from the plurality of frequency band sub-signals and restore the plurality of target sub-signals to the target signal; A third unit is used to obtain a first energy value corresponding to the support and hanger through the target signal; The third unit is specifically used to perform Fourier transform on the target signal to obtain vibration characteristics; obtain fixed characteristics based on fixed parameters of the support bracket, and superimpose the vibration characteristics and the fixed characteristics into initial frequency characteristics; perform inverse Fourier transform on the initial frequency characteristics to obtain final frequency characteristics, and obtain a first energy value based on the final frequency characteristics.

[0046] The first processing module 20 is used to periodically extend the vibration signal to obtain an extended cycle signal, obtain a plurality of signal components corresponding to the vibration signal through the extended cycle signal, select a plurality of related components from the plurality of signal components, select a final component from the plurality of related components, and obtain a second energy value corresponding to the support and hanger through the final component; The first processing module 20 includes: A fourth unit is used to perform correlation processing on the extended cycle signal to obtain a correlation signal; A fifth unit is used to obtain a maximum value and a minimum value in the correlation signal, construct a first envelope and a second envelope based on the maximum value and the minimum value, respectively, and obtain a mean curve through the first envelope and the second envelope; A sixth unit is used to obtain an intermediate component based on the correlation signal and the mean curve, and determine whether the difference between the number of extreme value points and the number of zero-crossing points in the intermediate component is less than a difference threshold; A seventh unit, configured to determine the intermediate component as a signal component if the difference is less than the difference threshold; An eighth unit is used to obtain a residual signal based on the extended cyclic signal and the signal component, and perform cyclic processing on the residual signal to obtain a plurality of signal components again; A ninth unit, configured to obtain component means of a plurality of the signal components and obtain a signal mean of the associated signal; A tenth unit, configured to obtain a correlation coefficient corresponding to the signal component through the component mean, the associated signal and the signal mean, and select a plurality of related components from the plurality of signal components based on the correlation coefficient; The tenth unit is specifically configured to compare the correlation coefficient with a coefficient threshold; and select the signal component corresponding to the correlation coefficient greater than the coefficient threshold as the correlation component; A second processing module 30 is used to construct an energy spectrum through the plurality of related components, and obtain a third energy value corresponding to the support and hanger through the energy spectrum, and obtain a final energy value corresponding to the support and hanger through the first energy value, the second energy value and the third energy value; A prediction module 40, configured to obtain a current energy threshold value based on the final energy values ​​in different time series, obtain a current energy value of the support and hanger, and compare the current energy value with the current energy threshold value to determine a real-time state of the support and hanger; The prediction module 40 includes: An eleventh unit is used to obtain a first decay coefficient and a second decay coefficient based on the final energy values ​​in different time series; A twelfth unit, configured to obtain a time decay value by using the first decay coefficient and the second decay coefficient; The thirteenth unit is used to obtain a current energy threshold based on the initial final energy value and the time decay value.

[0047] The present invention also provides a computer, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein when the processor executes the computer program, the method for monitoring the status of a support bracket as described in the above technical solution is implemented.

[0048] The present invention also provides a storage medium on which a computer program is stored. When the computer program is executed by a processor, the method for monitoring the state of the support and hanger described in the above technical solution is implemented.

[0049] In the description of this specification, the description with reference to the terms "one embodiment", "some embodiments", "examples", "specific examples", or "some examples" means that the specific features, structures, materials or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the present invention. In this specification, the schematic representation of the above terms does not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described may be combined in any one or more embodiments or examples in a suitable manner.

[0050] The above-mentioned embodiments only express several implementation methods of the present invention, and the description thereof is relatively specific and detailed, but it cannot be understood as limiting the scope of the patent of the present invention. It should be pointed out that, for ordinary technicians in this field, several variations and improvements can be made without departing from the concept of the present invention, which all belong to the protection scope of the present invention. Therefore, the protection scope of the patent of the present invention shall be subject to the attached claims.

Claims

1. A method for monitoring the state of a support and hanger, characterized in that: The following steps are involved: Acquire a past vibration data set of the support and hanger, wherein the past vibration data set includes vibration signals in a plurality of time series, and decompose and transform the vibration signals to acquire a first energy value corresponding to the support and hanger; The vibration signal is periodically extended to obtain an extended cycle signal, a plurality of signal components corresponding to the vibration signal are obtained through the extended cycle signal, a plurality of related components are selected from the plurality of signal components, a final component is selected from the plurality of related components, and a second energy value corresponding to the support and hanger is obtained through the final component; An energy spectrum is constructed through a plurality of the related components, and a third energy value corresponding to the support and hanger is obtained through the energy spectrum, and a final energy value corresponding to the support and hanger is obtained through the first energy value, the second energy value and the third energy value; A current energy threshold is obtained based on the final energy value in different time series, the current energy value of the support and hanger is obtained, and the current energy value is compared with the current energy threshold to determine the real-time status of the support and hanger.

2. The method for monitoring the state of a support and hanger according to claim 1, characterized in that: The step of decomposing and converting the vibration signal to obtain a first energy value corresponding to the support and hanger comprises: Performing several decomposition processes on the vibration signal to divide the vibration signal into several frequency bands and obtaining several frequency band sub-signals; Selecting a plurality of target sub-signals from the plurality of frequency band sub-signals, and restoring the plurality of target sub-signals to a target signal; A first energy value corresponding to the support and hanger is obtained through the target signal.

3. The method for monitoring the state of the support and hanger according to claim 2, characterized in that: The step of obtaining the first energy value corresponding to the support and hanger through the target signal comprises: Performing Fourier transformation on the target signal to obtain vibration characteristics; Obtaining fixed features based on fixed parameters of the support and hanger, and superimposing the vibration features and the fixed features as initial frequency features; Perform an inverse Fourier transform on the initial frequency feature to obtain a final frequency feature, and obtain a first energy value according to the final frequency feature.

4. The method for monitoring the state of a support and hanger according to claim 3, characterized in that: The formula for obtaining the vibration characteristics is: ， in, Represents the vibration characteristics, Indicates the target signal, represents a complex exponential function, where represents pi, represents the imaginary unit, represents a frequency variable, represents the time variable, represents the differential of a time variable; The formula for obtaining the fixed feature is: ， in, represents a fixed feature, Indicates the rigidity of the support bracket. Indicates the quality of the support bracket. Indicates the damping of the support bracket; The calculation formula of the first energy value is: ， in, represents the first energy value, represents the final frequency characteristics, represents the differential of the time variable, Indicates the length of the time variable.

5. The method for monitoring the state of a support and hanger according to claim 1, characterized in that: The step of acquiring a plurality of signal components corresponding to the vibration signal through the extended cycle signal comprises: Performing correlation processing on the extended cycle signal to obtain a correlation signal; Acquire a maximum value and a minimum value in the correlation signal, construct a first envelope curve and a second envelope curve based on the maximum value and the minimum value, respectively, and acquire a mean curve through the first envelope curve and the second envelope curve; Acquire an intermediate component based on the correlation signal and the mean curve, and determine whether a difference between the number of extreme value points and the number of zero-crossing points in the intermediate component is less than a difference threshold; If the difference is less than the difference threshold, determining the intermediate component as a signal component; A residual signal is obtained based on the extended cyclic signal and the signal components, and the residual signal is cyclically processed to obtain a plurality of signal components again.

6. The method for monitoring the state of the support and hanger according to claim 5, characterized in that: The acquisition formula of the correlation signal is: ， in, Indicates the associated signal, represents the length of the vibration signal, Indicates the extended loop signal, Indicates that the extended loop signal is delayed The value after.

7. The method for monitoring the state of a support and hanger according to claim 5, characterized in that: The step of selecting a relevant component from a plurality of the signal components comprises: Obtaining component means of a plurality of the signal components, and obtaining a signal mean of the associated signal; A correlation coefficient corresponding to the signal component is obtained through the component mean, the associated signal and the signal mean, and a plurality of related components are selected from the plurality of signal components based on the correlation coefficient.

8. The method for monitoring the state of a support and hanger according to claim 7, characterized in that: The step of selecting a plurality of correlation components from a plurality of the signal components based on the correlation coefficient comprises: comparing the correlation coefficient to a coefficient threshold; The signal component corresponding to the correlation coefficient greater than the coefficient threshold is selected as the correlation component.

9. The method for monitoring the state of a support and hanger according to claim 1, characterized in that: The step of obtaining the current energy threshold based on the final energy values ​​in different time series includes: Obtaining a first decay coefficient and a second decay coefficient based on the final energy values ​​in different time series; Obtaining a time decay value by using the first decay coefficient and the second decay coefficient; A current energy threshold is obtained based on the initial final energy value and the time decay value.

10. A support and hanger state monitoring system, applied to the support and hanger state monitoring method according to any one of claims 1 to 9, characterized in that: The system comprises: An acquisition module is used to acquire a past vibration data set of the support and hanger, wherein the past vibration data set includes vibration signals in a plurality of time series, and decompose and transform the vibration signals to acquire a first energy value corresponding to the support and hanger; A first processing module is used to periodically extend the vibration signal to obtain an extended cycle signal, obtain a plurality of signal components corresponding to the vibration signal through the extended cycle signal, select a plurality of related components from the plurality of signal components, select a final component from the plurality of related components, and obtain a second energy value corresponding to the support and hanger through the final component; A second processing module is used to construct an energy spectrum through the plurality of related components, and obtain a third energy value corresponding to the support and hanger through the energy spectrum, and obtain a final energy value corresponding to the support and hanger through the first energy value, the second energy value and the third energy value; The prediction module is used to obtain the current energy threshold based on the final energy value under different time series, obtain the current energy value of the support and hanger, and compare the current energy value with the current energy threshold to determine the real-time status of the support and hanger.

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