An intelligent damage location method for disc-type scaffolding structures

Abstract

The invention discloses an intelligent damage location method applied to a disk-type scaffold structure, comprising: determining a vibration sensor layout scheme of the disk-type scaffold according to a vulnerable structure analysis method; acquiring vibration data of multiple structures of the disk-type scaffold according to an excitation method; determining the vibration mode of each structure according to the vibration data of each structure based on a modal analysis method; analyzing the vibration mode of each structure according to a preset damage identification algorithm to determine the damaged structure; the invention uses a vulnerable structure analysis method to accurately layout the number and positions of vibration sensors, improves monitoring accuracy and reduces sensor layout costs, and determines the damaged structure by using a modal analysis method to determine the vibration mode. Compared with the acoustic emission technology, the invention is less affected by construction site noise and has higher damage location accuracy.

Description

Technical Field

[0001] The invention belongs to the technical field of scaffold safety monitoring, and in particular relates to an intelligent damage positioning method applied to a disc-type scaffold structure. Background Art

[0002] Scaffolding is a variety of supports set up at construction sites for workers to operate and solve vertical and horizontal transportation. Due to the complex conditions at construction sites, traditional scaffolding has the problem of serious wear and tear. In order to solve this problem, the prior art proposes a disc-type scaffolding, which has few moving parts, is easy to manage, not easy to lose, and is not easy to damage by using steel plate stamping parts. It is widely used at construction sites.

[0003] However, due to the illegal operation of construction workers and the non-compliant operation of the disc-type scaffolding, the disc-type scaffolding is still in a vulnerable state for a long time. The existing scaffolding damage monitoring method usually uses acoustic emission technology for damage monitoring and positioning. However, since the noise at the construction site is relatively large and the acoustic emission technology is greatly affected by noise, there are great limitations when using acoustic emission technology to monitor and locate the damage of the disc-type scaffolding at the construction site, resulting in low positioning accuracy. Summary of the invention

[0004] In view of this, the object of the present invention is to provide an intelligent damage location method applied to a disc-type scaffolding structure to solve the above-mentioned technical problems.

[0005] In order to achieve the above object, the present invention provides the following technical solutions:

[0006] An intelligent damage location method applied to a disc-type scaffolding structure, comprising:

[0007] According to the vulnerable structure analysis method, determine the layout plan of vibration sensors for the disc-type scaffolding;

[0008] According to the excitation method, the vibration signals of multiple structures of the disc-type scaffolding are collected;

[0009] Based on the modal analysis method, the vibration mode of each structure is determined according to the vibration signal of each structure;

[0010] Identify the vibration mode of each structure according to the preset damage identification algorithm to determine the damaged structure;

[0011] The damaged structure is located according to the damage location method to determine the position of the damaged structure.

[0012] Furthermore, according to the vulnerable structure analysis method, the vibration sensor layout scheme of the disc-type scaffolding is determined, including:

[0013] Based on big data technology, the key structure numbers of the disc-type scaffolding with damage index greater than the preset damage index threshold during different use periods are obtained;

[0014] Obtain all key structure numbers and corresponding use periods of the disc-type scaffolding, and generate a vulnerable structure analysis method;

[0015] Obtain the service life of each structure of the target disc-type scaffolding, and obtain the vulnerability probability of each key structure of the target disc-type scaffolding according to the vulnerable structure analysis method; the greater the damage index, the greater the vulnerability probability;

[0016] Determine the layout plan of vibration sensors for the corresponding structure of the disc-type scaffolding based on the probability of damage.

[0017] Furthermore, based on big data technology, the key structure numbers of the disc-type scaffolding with a damage index greater than a preset damage index threshold during different use periods are obtained, including:

[0018] Based on big data technology, the damage data of each structure of several disc-type scaffolds during the entire service life are obtained;

[0019] Obtain the unit usage time, with the unit usage time as the horizontal axis and the number of times each structure is damaged within each unit usage time as the vertical axis, and construct a structural damage frequency curve diagram of each structure within the entire usage time period;

[0020] Obtaining the first slope between the n+1th point and the nth point in the structural damage frequency curve, and obtaining the second slope between the n+2th point and the n+1th point, and calculating the first slope difference between the second slope and the first slope; wherein n is a positive integer greater than 0;

[0021] Obtain the turning point of the structural damage frequency curve and the third slope of the nth point, and calculate the initial slope difference between the third slope and the first slope; wherein the initial turning point is the origin;

[0022] If the first slope difference is greater than the initial slope difference, the nth point is determined to be a new turning point; wherein, when the absolute value of the difference between n and the turning point is greater than a preset valid value, the third slope takes effect, otherwise the third slope is an invalid slope, and the invalid slope does not participate in the calculation;

[0023] Determine the different service life periods of the corresponding structures of the disc-type scaffolding according to the turning points;

[0024] Obtain the specific damage degree corresponding to the damage data of any use time period and the number of damages corresponding to each specific damage degree, and use them as the horizontal and vertical coordinates to construct a damage degree distribution map;

[0025] Based on the normal distribution principle, the interference data in the damage degree distribution diagram is discarded to obtain the damage degree normal distribution diagram;

[0026] The variance of the normal distribution diagram of the damage degree is calculated, and when the variance is less than a preset stability threshold, the average value of the damage data in the normal distribution diagram of the damage degree is obtained as the damage index;

[0027] When the variance is not less than the preset stability threshold, the median of the damage data in the normal distribution diagram of the damage degree is obtained as the damage index;

[0028] Determine the number of critical structures whose damage index is greater than a preset damage index threshold.

[0029] Furthermore, according to the excitation method, vibration signals of multiple structures of the disc-type scaffolding are collected, including:

[0030] Obtain incentive methods, including natural incentives and artificial incentives, as well as the corresponding incentive time;

[0031] Vibration sensors are used to collect vibration signals of multiple structures of the disc-type scaffolding after the disc-type scaffolding generates vibration through excitation.

[0032] Furthermore, based on the modal analysis method, the vibration mode of each structure is determined according to the vibration signal of each structure, including:

[0033] Acquire the vibration signal of each structure, and process the vibration signal based on a preset signal processing method to obtain a high-quality vibration signal;

[0034] Based on the spectrum analysis method, the high-quality vibration signal is converted from time domain to frequency domain to obtain the frequency domain signal;

[0035] According to the frequency domain signal and the preset signal spectrum diagram, the natural frequency of each structure is identified;

[0036] The vibration mode of each structure is determined according to the natural frequency of each structure, the preset vibration mode at the natural frequency and the corresponding damping ratio.

[0037] Furthermore, the damaged structure is located according to the damage location method to determine the location of the damaged structure, including:

[0038] Match the vibration modes corresponding to the damaged structure according to the pre-built finite element model;

[0039] The damage mode corresponding to the successfully matched vibration mode is obtained to determine the location of the damaged structure.

[0040] The beneficial effects of the present invention are:

[0041] The present invention includes an intelligent damage location method applied to a disc-type scaffolding structure. Through a vulnerable structure analysis method, the number and positions of vibration sensors are accurately arranged, the monitoring accuracy is improved while reducing the sensor arrangement cost. The damaged structure is determined by using a modal analysis method to determine the vibration mode. Compared with the acoustic emission technology, the method is less affected by the noise on the construction site and has a higher damage location accuracy.

[0042] Other advantages, objectives and features of the present invention will be described in the following description and will be apparent to those skilled in the art to some extent, or they may be taught from the practice of the present invention. The purposes and other advantages of the present invention may be realized and obtained by the structures particularly pointed out in the written description and the accompanying drawings.

[0043] The technical solution of the present invention is further described in detail below through the accompanying drawings and embodiments. BRIEF DESCRIPTION OF THE DRAWINGS

[0044] The accompanying drawings are used to provide a further understanding of the present invention and constitute a part of the specification. Together with the embodiments of the present invention, they are used to explain the present invention and do not constitute a limitation of the present invention. In the accompanying drawings:

[0045] Figure 1 A method flow chart of an intelligent damage location method applied to a disc-type scaffolding structure in an embodiment of the present invention;

[0046] Figure 2 A flow chart for determining a vibration sensor deployment scheme in an intelligent damage location method applied to a disc-type scaffolding structure in an embodiment of the present invention;

[0047] Figure 3 A flowchart for determining key structure numbers in an intelligent damage location method for a disc-type scaffolding structure in an embodiment of the present invention;

[0048] Figure 4 The present invention is a flowchart for determining vibration modes in an intelligent damage location method applied to a disc-type scaffolding structure in an embodiment of the present invention. DETAILED DESCRIPTION

[0049] The preferred embodiments of the present invention are described below in conjunction with the accompanying drawings. It should be understood that the preferred embodiments described herein are only used to illustrate and explain the present invention, and are not used to limit the present invention.

[0050] like Figure 1 As shown, the present invention provides an intelligent damage location method applied to a disc-type scaffolding structure, comprising:

[0051] Step 1: Determine the layout plan of vibration sensors for the disc-type scaffolding according to the vulnerable structure analysis method;

[0052] Step 2: According to the excitation method, vibration signals of multiple structures of the disc-type scaffolding are collected;

[0053] Step 3: Based on the modal analysis method, determine the vibration mode of each structure according to the vibration signal of each structure;

[0054] Step 4: Identify the vibration mode of each structure according to a preset damage identification algorithm to determine the damaged structure;

[0055] Step 5: locate the damaged structure according to the damage location method to determine the position of the damaged structure;

[0056] The working principle of the above technical solution is as follows: according to the vulnerable structure analysis method, the arrangement scheme of vibration sensors of the disc-type scaffolding is determined. In the present invention, the monitoring structure is preferably divided into two types, one is a normal structure, including the connection points between the vertical poles and the horizontal poles, the corners of the scaffolding, the structural nodes with greater force, etc., and the other is a vulnerable structure, including the key structure determined according to the vulnerable structure analysis method and the area known or suspected to be damaged by the user. The type of vibration sensor is selected and determined according to the needs of the monitoring part; after the vibration sensor is installed, the disc-type scaffolding structure is excited according to the preset excitation method to generate a vibration event, and the vibration signal is collected in real time by the correspondingly arranged vibration sensor and the vibration signal is recorded by a vibration analyzer; based on the modal analysis method, the vibration signal of each structure is signaled After preprocessing, spectrum analysis and modal parameter identification, the vibration mode of each structure is determined; then the vibration mode of each structure is identified according to a preset damage identification algorithm to determine the damaged structure, wherein the preset damage identification algorithm includes but is not limited to a modal change analysis algorithm, a damage sensitivity analysis algorithm and a machine learning algorithm, etc. The modal change analysis algorithm preferably adopts monitoring of subtle changes in natural frequency and vibration mode to analyze the damaged structure, the damage sensitivity analysis algorithm preferably uses a finite element model to analyze the changes in modal parameters of each structure under different damage conditions to analyze and identify the damaged structure, the machine learning algorithm preferably generates an identification model through model training methods such as artificial neural networks to analyze and identify the damaged structure, and finally the damaged structure is located based on a damage location method to determine the position of the damaged structure, and the location method is preferably a damage model matching method;

[0057] The beneficial effects of the above technical scheme are as follows: through the above technical scheme, the vulnerable structure analysis method is adopted to accurately arrange the number and position of vibration sensors, thereby improving the monitoring accuracy while reducing the sensor deployment cost. At the same time, the modal analysis method is used to determine the vibration mode to determine the damaged structure. Compared with the acoustic emission technology, it is less affected by the noise on the construction site and has a higher damage positioning accuracy.

[0058] See also Figure 2In one embodiment, according to the vulnerable structure analysis method, a vibration sensor layout scheme of the disc-type scaffold is determined, including:

[0059] Step 11: Based on big data technology, obtain the key structure number of the disc-type scaffolding with a damage index greater than a preset damage index threshold during different use periods;

[0060] Step 12: Obtain all key structure numbers and corresponding service life cycles of the disc-type scaffolding, and generate a vulnerable structure analysis method;

[0061] Step 13, obtaining the service life cycle of each structure of the target disc-type scaffolding, and obtaining the vulnerability probability of each key structure of the target disc-type scaffolding according to the vulnerable structure analysis method; wherein, the greater the damage index, the greater the vulnerability probability;

[0062] Step 14, determining the vibration sensor layout plan for the corresponding structure of the disc-type scaffolding according to the probability of vulnerability;

[0063] The working principle of the above technical scheme is: in order to reduce the number of invalid sensor arrangements and improve the efficiency of sensor monitoring, this scheme is based on the vulnerable structure analysis method, analyzes the vulnerability probability of each structure of the disc-type scaffolding in different use time periods, determines the vulnerable structure of the disc-type scaffolding in each use time period, and then determines the vibration sensor layout plan of the disc-type scaffolding. Specifically, firstly, based on big data technology, obtain the key structure number of the disc-type scaffolding in different use time periods, and the damage index is greater than the preset damage index threshold. It is worth mentioning that in order to better monitor each structure, each structure is uniquely numbered in advance according to the structure type and location, and then all key structure numbers and the corresponding disc-type scaffolding use time period are obtained to generate a vulnerable structure analysis method, wherein the vulnerable structure analysis method includes each disc-type scaffolding use time period and the vulnerable key structure number. The mapping relationship of the structure number; obtaining the service life cycle of each structure of the target disc-type scaffolding. Since some movable parts may be replaced during the use of the scaffolding, the service life of the target disc-type scaffolding does not fully represent the service life of each structure. Therefore, the service life of each structure is determined separately, and the vulnerability probability of each key structure of the target disc-type scaffolding is obtained according to the vulnerable structure analysis method. The analysis method is to determine the vulnerability probability of each key structure of the target disc-type scaffolding by mapping the service life of each structure with the aforementioned mapping relationship, wherein the larger the damage index, the greater the vulnerability probability. Finally, the vibration sensor layout scheme of the corresponding structure of the disc-type scaffolding is determined according to the vulnerability probability and the pre-set sensor layout template, wherein the pre-set sensor layout template is preferably determined by collecting historical data and a reliable layout scheme set after manual correction;

[0064] The beneficial effects of the above technical solution are as follows: through the above technical solution, the number of invalid sensors is reduced, which is beneficial to improving the sensor monitoring efficiency. At the same time, through the confirmation of the probability of vulnerability, it is beneficial to improve the positioning accuracy of subsequent damage data.

[0065] See also Figure 3 In one embodiment, based on big data technology, key structure numbers of the disc-type scaffolding with a damage index greater than a preset damage index threshold in different use periods are obtained, including:

[0066] Based on big data technology, the damage data of each structure of several disc-type scaffolds during the entire service life are obtained;

[0067] Obtain the unit usage time, with the unit usage time as the horizontal axis and the number of times each structure is damaged within each unit usage time as the vertical axis, and construct a structural damage frequency curve diagram of each structure within the entire usage time period;

[0068] Obtaining the first slope between the n+1th point and the nth point in the structural damage frequency curve, and obtaining the second slope between the n+2th point and the n+1th point, and calculating the first slope difference between the second slope and the first slope; wherein n is a positive integer greater than 0;

[0069] Obtain the turning point of the structural damage frequency curve and the third slope of the nth point, and calculate the initial slope difference between the third slope and the first slope; wherein the initial turning point is the origin;

[0070] If the first slope difference is greater than the initial slope difference, the nth point is determined to be a new turning point; wherein, when the absolute value of the difference between n and the turning point is greater than a preset valid value, the third slope takes effect, otherwise the third slope is an invalid slope, and the invalid slope does not participate in the calculation;

[0071] Determine the different service life periods of the corresponding structures of the disc-type scaffolding according to the turning points;

[0072] Obtain the specific damage degree corresponding to the damage data of any use time period and the number of damages corresponding to each specific damage degree, and use them as the horizontal and vertical coordinates to construct a damage degree distribution map;

[0073] Based on the normal distribution principle, the interference data in the damage degree distribution diagram is discarded to obtain the damage degree normal distribution diagram;

[0074] The variance of the normal distribution diagram of the damage degree is calculated, and when the variance is less than a preset stability threshold, the average value of the damage data in the normal distribution diagram of the damage degree is obtained as the damage index;

[0075] When the variance is not less than the preset stability threshold, the median of the damage data in the normal distribution diagram of the damage degree is obtained as the damage index;

[0076] Determine the key structure number whose damage index is greater than a preset damage index threshold;

[0077] The working principle of the above technical solution is: based on big data technology, the damage data of each structure of several disc-type scaffolds in different use time periods in the historical data recorded in the library are obtained, and the unit use time is determined. The unit use time is set in advance according to the user's standard for accuracy, and then the unit use time is used as the unit of the horizontal axis, and the number of times that damage data exists in each structure in each unit use time period is used as the unit of the vertical axis to construct a structural damage frequency curve of each structure in the entire use time period; then the first slope between the n+1th point and the nth point in the structural damage frequency curve is obtained, and the second slope between the n+2th point and the n+1th point is obtained, and the second slope and the first slope are calculated. The first slope difference of the rate; wherein n is a positive integer greater than 0; obtain the third slope of the turning point and the nth point of the structural damage frequency curve, and calculate the initial slope difference between the third slope and the first slope; wherein the initial turning point is the origin; wherein the slope represents the change amplitude of the structural damage. In actual situations, as the use time period increases, the slope amplitude will gradually become jittery. According to the change in the slope amplitude, the use time period is divided, which is beneficial to improve the consistency of the damage degree representation of each use time period. Therefore, if the first slope difference is greater than the initial slope difference, the nth point is determined to be a new turning point; wherein, when the absolute value of the difference between n and the turning point is greater than the preset effective value, the third slope takes effect. Otherwise, the third slope is an invalid slope, and the invalid slope does not participate in the calculation, wherein the absolute value of the difference between n and the turning point is the absolute value of the difference between n and the mth point corresponding to the turning point, that is, |nm|. Normally, m is a positive integer greater than n, and the preset effective value is preferably confirmed according to the specific length of the unit usage time; then, the different usage time periods of the corresponding structure of the disc-type scaffolding are determined according to the turning point, and the specific damage degree corresponding to the damage data of any usage time period and the number of damages corresponding to each specific damage degree are obtained, which are used as the horizontal and vertical coordinates to construct a damage degree distribution map, respectively. Based on the normal distribution principle, the interference data in the damage degree distribution map is discarded to obtain a normal distribution map of the damage degree. It is worth explaining that The damage degree normal distribution diagram is usually a non-standard normal distribution. Finally, the variance of the damage degree normal distribution diagram is calculated. When the variance is less than the preset stability threshold, it indicates that in the current usage period, the damage degree distribution of most damage data is relatively scattered and gentle. Therefore, the average value of the damage data in the damage degree normal distribution diagram is obtained as the damage index. When the variance is not less than the preset stability threshold, it indicates that in the current usage period, after discarding a small number of interference data, the damage degree distribution of the remaining damage data is relatively concentrated. The median of the damage data in the damage degree normal distribution diagram is obtained as the damage index. The number of the structure whose damage index is greater than the preset damage index threshold is determined and the key structure number is output;

[0078] The beneficial effect of the above technical solution is: through the above technical solution, the damage index is accurately calculated, providing reliable data support for the subsequent improvement of damage location accuracy.

[0079] In one embodiment, according to the excitation mode, vibration signals of multiple structures of the disc-type scaffolding are collected and obtained, including:

[0080] Obtain incentive methods, including natural incentives and artificial incentives, as well as the corresponding incentive time;

[0081] Vibration sensors are used to collect vibration signals of multiple structures of the disc-type scaffolding after the disc-type scaffolding generates vibrations through excitation;

[0082] The working principle of the above technical solution is: obtaining the excitation mode, including natural excitation and artificial excitation, and the corresponding excitation time, wherein the natural excitation includes but is not limited to wind load, construction activities, etc., and the artificial excitation is preferably a knocking action, and then after the vibration event occurs, the vibration signals of multiple structures of the disc-type scaffolding are collected based on the vibration sensors arranged in advance and recorded through a vibration analyzer or a data acquisition instrument for subsequent processing;

[0083] The beneficial effect of the above technical solution is that, through the above technical solution, compared with the collection of acoustic emission signals, it is less affected by the environmental noise of the construction site, and the collected data to be processed for users to judge structural damage is more accurate.

[0084] See also Figure 4 In one embodiment, based on a modal analysis method, the vibration mode of each structure is determined according to the vibration signal of each structure, including:

[0085] Step 31: Obtain a vibration signal of each structure, and process the vibration signal based on a preset signal processing method to obtain a high-quality vibration signal;

[0086] Step 32: Based on the spectrum analysis method, the high-quality vibration signal is converted from the time domain to the frequency domain to obtain a frequency domain signal;

[0087] Step 33: According to the frequency domain signal and the preset signal spectrum diagram, the natural frequency of each structure is identified;

[0088] Step 34, determining the vibration mode of each structure according to the natural frequency of each structure, the preset vibration mode at the natural frequency and the corresponding damping ratio;

[0089] The working principle of the above technical solution is: obtain the vibration signal of each structure. It is worth noting that the acquisition of the vibration signal needs to ensure a sufficient acquisition time length to ensure that all the main modes of the structure can be captured, and process the vibration signal based on a preset signal processing method. The preset signal processing method includes filtering and denoising to improve the signal quality. Signal processing to obtain high-quality vibration signals, and then through spectrum analysis methods, such as Fast Fourier Transform (FastFourier Transform), converting the time domain signal into a frequency domain signal, and identifying the natural frequency of each structure according to the frequency domain signal and the preset signal spectrum diagram, the natural frequency is the vibration frequency of each structure without damping, the preset signal spectrum diagram contains the mapping relationship between the natural frequency of each structure and the frequency domain signal, and finally determining the vibration mode of each structure according to the natural frequency of each structure, the preset vibration form at the natural frequency and the corresponding damping ratio. It is worth noting that the vibration form is the vibration shape, which refers to the vibration shape of the corresponding structure at a specific natural frequency. The confirmation of the preset vibration shape can be achieved by curve fitting the spectrum data or using other mathematical methods to reconstruct the vibration shape; for the confirmation of the vibration mode, the present invention only selects the three most important and commonly used parameters, but is not limited to using only three parameters to confirm the vibration mode;

[0090] The beneficial effect of the above technical solution is: through the above technical solution, the vibration mode of each structure is determined based on the modal analysis method, which is used to provide reliable data support for the subsequent determination of the damage location of the structure.

[0091] In one embodiment, locating the damaged structure according to the damage location method to determine the position of the damaged structure includes:

[0092] Match the vibration modes corresponding to the damaged structure according to the pre-built finite element model;

[0093] Obtain the damage mode corresponding to the successfully matched vibration mode and determine the location of the damaged structure;

[0094] The working principle of the above technical solution is as follows: before locating the damage of the disc-type scaffolding, a finite element model is constructed in advance according to the corresponding damage data and modal parameters of the disc-type scaffolding to predict the damage mode of the disc-type scaffolding, and the damage mode includes damage location. When locating the actual damaged structure, the vibration mode corresponding to the damaged structure is matched according to the pre-constructed finite element model to determine the damage mode corresponding to the successfully matched vibration mode, and then determine the position of the damaged structure. Furthermore, a specific damage location algorithm can also be used, such as a sensitivity method, a beamforming method or other optimization algorithm, and the structural damage position can be accurately located according to the change of the modal parameters;

[0095] The beneficial effect of the above technical solution is that through the above technical solution, the damaged structure is located by using modal parameters and finite element models, which is beneficial to improving the accuracy and efficiency of damage location.

[0096] Finally, it should be noted that the above preferred embodiments are only used to illustrate the technical solutions of the present invention rather than to limit it. Although the present invention has been described in detail through the above preferred embodiments, those skilled in the art should understand that various changes can be made in form and details without departing from the scope defined by the claims of the present invention.

Claims

1. An intelligent damage location method applied to a disc-type scaffolding structure, characterized in that: include: According to the vulnerable structure analysis method, determine the layout plan of vibration sensors for the disc-type scaffolding; According to the excitation method, the vibration signals of multiple structures of the disc-type scaffolding are collected; Based on the modal analysis method, the vibration mode of each structure is determined according to the vibration signal of each structure; Identify the vibration mode of each structure according to the preset damage identification algorithm to determine the damaged structure; Locate the damaged structure according to the damage location method to determine the position of the damaged structure; Among them, according to the vulnerable structure analysis method, the vibration sensor layout plan of the disc-type scaffolding is determined, including: Based on big data technology, the key structure numbers of the disc-type scaffolding with damage index greater than the preset damage index threshold during different use periods are obtained; Obtain all key structure numbers and corresponding use periods of the disc-type scaffolding, and generate a vulnerable structure analysis method; Obtain the service life of each structure of the target disc-type scaffolding, and obtain the vulnerability probability of each key structure of the target disc-type scaffolding according to the vulnerable structure analysis method; the greater the damage index, the greater the vulnerability probability; Determine the layout plan of vibration sensors for the corresponding structure of the disc-type scaffolding according to the probability of damage; Based on big data technology, the key structure numbers of the disc-type scaffolding with damage index greater than the preset damage index threshold during different service life periods are obtained, including: Based on big data technology, the damage data of each structure of several disc-type scaffolds during the entire service life are obtained; Obtain the unit usage time, with the unit usage time as the horizontal axis and the number of times each structure is damaged within each unit usage time as the vertical axis, and construct a structural damage frequency curve diagram of each structure within the entire usage time period; Obtaining the first slope between the n+1th point and the nth point in the structural damage frequency curve, and obtaining the second slope between the n+2th point and the n+1th point, and calculating the first slope difference between the second slope and the first slope; wherein n is a positive integer greater than 0; Obtain the turning point of the structural damage frequency curve and the third slope of the nth point, and calculate the initial slope difference between the third slope and the first slope; wherein the initial turning point is the origin; If the first slope difference is greater than the initial slope difference, the nth point is determined to be a new turning point; wherein, when the absolute value of the difference between n and the turning point is greater than a preset valid value, the third slope takes effect, otherwise the third slope is an invalid slope, and the invalid slope does not participate in the calculation; Determine the different service life periods of the corresponding structures of the disc-type scaffolding according to the turning points; Obtain the specific damage degree corresponding to the damage data of any use time period and the number of damages corresponding to each specific damage degree, and use them as the horizontal and vertical coordinates to construct a damage degree distribution map; Based on the normal distribution principle, the interference data in the damage degree distribution diagram is discarded to obtain the damage degree normal distribution diagram; The variance of the normal distribution diagram of the damage degree is calculated, and when the variance is less than a preset stability threshold, the average value of the damage data in the normal distribution diagram of the damage degree is obtained as the damage index; When the variance is not less than the preset stability threshold, the median of the damage data in the normal distribution diagram of the damage degree is obtained as the damage index; Determine the number of critical structures whose damage index is greater than a preset damage index threshold.

2. According to claim 1, an intelligent damage location method applied to a disc-type scaffolding structure is characterized in that: According to the excitation method, the vibration signals of multiple structures of the disc-type scaffolding are collected, including: Obtain incentive methods, including natural incentives and artificial incentives, as well as the corresponding incentive time; Vibration sensors are used to collect vibration signals of multiple structures of the disc-type scaffolding after the disc-type scaffolding generates vibration through excitation.

3. The intelligent damage location method applied to a disc-type scaffolding structure according to claim 1 is characterized in that: Based on the modal analysis method, the vibration mode of each structure is determined according to the vibration signal of each structure, including: Acquire the vibration signal of each structure, and process the vibration signal based on a preset signal processing method to obtain a high-quality vibration signal; Based on the spectrum analysis method, the high-quality vibration signal is converted from time domain to frequency domain to obtain the frequency domain signal; According to the frequency domain signal and the preset signal spectrum diagram, the natural frequency of each structure is identified; The vibration mode of each structure is determined according to the natural frequency of each structure, the preset vibration mode at the natural frequency and the corresponding damping ratio.

4. The intelligent damage location method applied to a disc-type scaffolding structure according to claim 1 is characterized in that: The damaged structure is located according to the damage location method to determine the location of the damaged structure, including: Match the vibration modes corresponding to the damaged structure according to the pre-built finite element model; The damage mode corresponding to the successfully matched vibration mode is obtained to determine the location of the damaged structure.

Images