A method and system for monitoring the health status of a support and hanger

Abstract

The present invention discloses a method and system for monitoring the health status of supports and hangers, comprising the following steps: (1) determining the supports and hangers installed in the most unfavorable area in a certain site, and installing a triaxial acceleration sensor on the supports and hangers in the most unfavorable area; (2) measuring the vibration response of the corresponding supports and hangers by the triaxial acceleration sensor and processing to obtain the initial vibration state characteristic value of the supports and hangers; (3) monitoring the vibration response of the supports and hangers by the triaxial acceleration sensor and processing to obtain the current vibration state characteristic value of the supports and hangers, and comparing it with the initial vibration state characteristic value to obtain the health status of the supports and hangers. The present invention determines the health status of the supports and hangers based on the vibration response of the supports and hangers, implements the point distribution plan through the most unfavorable environmental load condition area, ensures that the monitoring network can cover all supports and hangers in a probabilistic statistical sense, thereby realizing real-time and reliable monitoring of the supports and hangers system, and providing important technical support for the daily maintenance of the supports and hangers.

Description

Technical Field

[0001] The invention relates to the field of earthquake-resistant building supports, and in particular to a method and system for monitoring the health status of supports and hangers. Background Art

[0002] With the release and continuous promotion of the "Building Electromechanical Seismic Code GB50981-2014", the strong enforcement of the industry's competent departments (approval centers, quality inspection stations), and the continuous application of practitioners (owners, design institutes, construction units, supervision, and auditing), electromechanical seismic has now been fully unveiled throughout the country, and has gradually become popular, from mysterious to routine. Due to the popularization of routine, the approval center, quality inspection station, and owners have become more and more strict in enforcing this profession. As of 2018, the "Building Electromechanical Seismic Code" has begun to be officially enforced throughout the country, and all new construction, expansion, and reconstruction projects have begun to use seismic supports and hangers.

[0003] The popularization of electromechanical support and hanger systems has greatly improved the safety of electromechanical equipment in earthquakes and reduced the secondary disasters caused by them. However, there are still some accident cases that show that even if the support and hanger is installed, the accident cannot be avoided. The reason is mostly because the support and hanger system has been installed for a long time, the components are aged, the bolts are loose, and the support and hanger system has not been maintained during the long-term service, resulting in failure. There are prerequisites for the earthquake-resistant support and hanger system to really play its role when an earthquake comes. The prerequisite is to correctly install the support and hanger according to the design requirements, and to perform necessary daily maintenance on the support and hanger system during service, such as replacing rusted or corroded parts, tightening loose bolts, etc. Due to the particularity of the installation position of the support and hanger, it is very difficult to rely solely on manual inspections to check the status of the equipment. Especially for large projects with a large number of support and hangers, manual inspection is extremely inconvenient. Therefore, it is very necessary and urgent to establish a set of support and hanger health monitoring system with complete functions and reliable performance.

[0004] At present, the inspection and monitoring of seismic supports and hangers at home and abroad are divided into two categories. One is the product sampling inspection before the supports and hangers leave the factory; the other is the performance monitoring of the supports and hangers in normal service status. The first type of technology is already very mature at present, and our patent is proposed to address the shortcomings of the second type of technology. The shortcomings of the second type of technology are specifically manifested in the contradiction between the monitoring method and the number of monitoring, which makes the actual monitoring plan difficult to implement. Specifically, most of the previous patents for supports and hangers in service use stress, strain sensors or displacement sensors to measure physical quantities such as stress, strain, and displacement at local points of the structure. However, these physical quantities can only reflect the local characteristics of the support structure. Therefore, in order to make an objective and correct evaluation of the status of a complete support, it is necessary to install multiple sensors on a support and hanger, which not only means an increase in monitoring costs, but also the installation and debugging of the monitoring system will be very cumbersome.

[0005] Recently, some scholars have introduced vibration monitoring into the field of support and hanger structure monitoring, using vibration acceleration sensors or vibration displacement sensors to monitor the state of the structure. This kind of idea is correct. According to the principle of structural dynamics, the vibration state of the structure, especially the modal frequency and vibration mode, is usually the overall response of the state of the structure, which is a global physical quantity. Only one or two vibration sensors need to be installed on the support and hanger to capture its overall performance state. Therefore, this will greatly reduce the number of sensors installed on the support and hanger. However, due to the high cost of acceleration sensors and the relatively independent installation method of the support and hanger in mechanics, one sensor can only monitor one support and hanger at most. If all the supports and hangers in a project are monitored one by one, other difficulties are not mentioned, and the economic cost alone is also unbearable. For this reason, this patent fully absorbs the research results of predecessors, draws on the technical points that can be truly practical in engineering in the first and second categories of technology, and develops a new, complete and effective health monitoring system for the support and hanger under service status. Summary of the invention

[0006] Purpose of the invention: Based on the above-mentioned deficiencies, the present invention proposes a method and system for monitoring the health status of supports and hangers.

[0007] Technical solution:

[0008] A method for monitoring the health status of a support and hanger, comprising the steps of:

[0009] (1) Determine the supports and hangers installed in the most unfavorable area of ​​a site, and install triaxial acceleration sensors on the supports and hangers in the most unfavorable area; the most unfavorable area is the area where the probability of damage to the supports and hangers is the highest;

[0010] (2) Performing initial measurement on the corresponding support and hanger using a triaxial acceleration sensor to obtain the vibration response of the support and hanger and processing the result to obtain the initial vibration state characteristic value of the support and hanger;

[0011] (3) During the monitoring process, the vibration response of the support bracket is picked up by a three-axis acceleration sensor and processed to obtain the current vibration state characteristic value of the support bracket, and compared with the initial vibration state characteristic value obtained in step (2). If the current vibration state characteristic value is less than a set percentage of the initial vibration state characteristic value, the support bracket is determined to be in a damaged state; otherwise, the support bracket is determined to be in a healthy state.

[0012] The specific method for determining the supports and hangers installed in the most unfavorable area of ​​a site in step (1) is as follows:

[0013] (11) Conduct environmental measurements on the areas where supports and hangers are installed on the site, including environmental vibration and environmental factors; environmental vibration refers to the vibration level caused by the excitation of the force applied to the supports and hangers in the environment, and environmental factors refer to air humidity or the concentration of acidic or corrosive gases; sort the measurement results of each area by category;

[0014] (12) According to the ranking in step (11), select the areas with the first several positions in each category as the most unfavorable areas; wherein the number of positions in each category is determined based on the actual cost and monitoring requirements.

[0015] The input sampling frequency Fs of the triaxial acceleration sensor is used as the input of the triaxial acceleration signal x0, y0, z0 measured for 20 seconds, and the average power spectrum density curve P in the initial state x, y, z direction is calculated. x0 (w), P y0 (w), P z0 (w); This curve is the initial characteristic reference line of the initial support and hanger;

[0016] During the monitoring process, the three-axis acceleration signals x, y, and z of the support and hanger under the condition of vibration stability for 20 seconds are collected at the same sampling frequency as input, and the average power spectrum density curve P in the x, y, and z directions of the current state is calculated. x (w), P y (w), P z (w) is the characteristic baseline of the current support and hanger state;

[0017] Calculate the similarity between the characteristic baseline of the current support and hanger and the characteristic baseline in the initial state, and then add the similarities of the characteristic baselines in the three directions respectively, which is the characteristic value z of the current vibration state i ; The current vibration state characteristic value z i Compare with the initial vibration state eigenvalue. If the current vibration state eigenvalue z i If the vibration value is less than the set percentage of the initial vibration state characteristic value, the support and hanger is judged to be in a damaged state; otherwise, the support and hanger is judged to be in a healthy state.

[0018] In case of weak environmental vibration, external excitation is used to excite the corresponding support and hanger, and the damaged three-axis acceleration sensor collects the three-axis acceleration signals x, y, and z of the support and hanger for 20 seconds under stable vibration conditions as input; among them, the weak environmental vibration means that the environmental vibration does not reach 5-10% of the measuring range of the three-axis acceleration sensor.

[0019] The setting percentages of the initial vibration state characteristic values ​​are set to three levels of 90%, 80% and 70% to serve as a three-level early warning mechanism.

[0020] A monitoring system for the health status of a support and hanger, comprising a triaxial acceleration sensor installed on a seismic support in the most unfavorable area of ​​a site and a host computer in communication connection with the triaxial acceleration sensor; the most unfavorable area of ​​the site is the area where the probability of damage to the support and hanger is the highest;

[0021] The three-axis acceleration sensor initially collects the vibration response of the corresponding support and hanger and sends it to the host computer; the host computer receives the vibration response collected by the three-axis acceleration sensor and processes it to obtain the vibration state characteristic value as the initial vibration state characteristic value of the support and hanger;

[0022] During the monitoring process, the host computer receives the vibration response of the support bracket collected by the three-axis acceleration sensor and processes it to obtain the current vibration state characteristic value, and compares it with the initial vibration state characteristic value of the support bracket. If the current vibration state characteristic value is less than the set percentage of the initial vibration state characteristic value, the support bracket is determined to be in a damaged state; otherwise, the support bracket is determined to be in a healthy state.

[0023] It also includes a cloud server and a mobile terminal. The cloud server is connected to a host computer via the Internet, and the mobile terminal is connected to the cloud server via the Internet. The host computer sends the monitoring results to the cloud server or the mobile terminal via the Internet.

[0024] The host computer, cloud server or mobile terminal is provided with a monitoring indication module, and the monitoring indication module marks the health status of the support and hanger by color, wherein blue indicates a healthy status and red indicates a damaged status.

[0025] It also includes an external excitation device, which performs multiple external excitations under the same excitation conditions on the support and hanger when the support and hanger is located in an environment with weak vibration; after the support and hanger enters a stable state, the three-axis acceleration signal of the support and hanger for 20 seconds can be used to calculate the average power spectral density curve.

[0026] Beneficial effects: The present invention determines the service status of the supports and hangers based on the vibration response of the supports and hangers structure, implements the deployment plan through the most unfavorable environmental load conditions, and ensures that the monitoring network can cover all supports and hangers under the probability statistical significance, thereby realizing real-time and reliable monitoring of the support and hanger system, and providing important technical support for the daily maintenance of the supports and hangers. This patent is mainly developed for the monitoring of seismic supports and hangers, but is not limited to seismic supports and hangers, and is also applicable to other supports and hangers, such as similar load-bearing support and hanger systems in the electromechanical field. BRIEF DESCRIPTION OF THE DRAWINGS

[0027] Figure 1 This is a framework diagram of the monitoring system for the health status of the support and hanger of the present invention.

[0028] Figure 2 It is an overall flow chart of the monitoring system of the health status of the support and hanger of the present invention.

[0029] Figure 3 The present invention is a flowchart of the core algorithm of the support and hanger health status monitoring system. DETAILED DESCRIPTION

[0030] The present invention is further explained below in conjunction with the accompanying drawings and specific embodiments.

[0031] In order to effectively reduce the monitoring cost and meet the monitoring requirements of the project, this paper proposes an overall monitoring plan based on statistical theory and the most unfavorable environmental load conditions to determine the layout of monitoring points. The specific process can be divided into the following two steps:

[0032] First, the layout of the most unfavorable monitoring points under environmental loads.

[0033] The environmental loads that supports and hangers are subjected to under normal service conditions mainly include two categories: one is environmental vibration, that is, physical damage caused by the excitation of environmental forces, such as the loosening of bolts caused by the excitation force generated when the air and water flows in the air ducts and the vibration of the air ducts and water pipes, or the vibration generated when the car is driving; the second is chemical damage caused by environmental factors, such as bolt corrosion caused by water mist in the air, cyclic temperature changes, and corrosive gases. Under the influence of environmental loads, supports and hangers at different installation positions will have different responses. In statistical terms, supports and hangers at the most unfavorable locations of environmental loads are usually the first to be damaged, such as rust or loose bolts.

[0034] According to the environmental loads involved in the factory inspection of supports and hangers mentioned above, air humidity, carbon dioxide concentration, acid gas concentration, and vibration load (but not limited thereto) are similarly selected as the basis for environmental load evaluation. In the present invention, for the installed and in-service supports and hangers at a certain project site, the first step is to use environmental detection equipment to measure and evaluate the above-mentioned environmental loads of each support and hanger on site, which are specifically divided into two categories: environmental vibration and environmental factors, and their unfavorableness is ranked respectively. In combination with this ranking and the actual situation on site, the monitoring points are reasonably arranged, thereby realizing a point-to-surface monitoring arrangement plan. The monitoring point arrangement plan based on the most unfavorable conditions of environmental loads can statistically guarantee the overall monitoring of the performance of all supports and hangers, and become a feasible plan for engineering practice.

[0035] Second, establish a monitoring network based on three-axis wireless acceleration sensors as the main monitoring equipment.

[0036] Under a reasonable point layout plan, reliable monitoring means are also needed to support the real-time monitoring network of the entire support and hanger system. Figure 1As shown, the hardware equipment of the monitoring system mainly includes two parts: the front end has a three-axis wireless acceleration sensor for picking up vibrations, and a wireless router for controlling the acquisition and transmission of acceleration signals; in the present invention, according to the environmental characteristics of the on-site support and hanger service, a micro-electromagnetic excitation device (or an eccentric wheel micro-motor) can also be selected as an external excitation; the back end is mainly a network support system for analyzing, calculating and displaying data. According to the needs of the owner, cloud display or local area network internal display can be selected. There are computer terminals and cloud servers for analyzing and processing data, and a mobile phone APP for displaying real-time data of the monitoring network.

[0037] The software part of the monitoring system is mainly used to analyze the vibration signal collected by the three-axis accelerometer and display the results on the computer or mobile phone. Its core lies in the program algorithm for determining the state of the support and hanger, which is the key to the reliability of the entire monitoring network. This patent has established a complete and highly robust real-time signal analysis algorithm based on the time-frequency characteristics of the signal. The specific flow chart is attached. Figure 2 .

[0038] Figure 2 The flowchart of the monitoring system of the health status of the support and hanger of the present invention is as follows: Figure 2 As shown, the method for monitoring the health status of the support and hanger of the present invention comprises the steps of:

[0039] Prerequisite: The installation of supports and hangers for a project complies with relevant industry specifications and design requirements.

[0040] (1) Site survey: Conduct a detailed survey of the project site and rationally divide the monitoring areas.

[0041] (2) Determine the most unfavorable environmental load for each measurement area: According to the zoning in step (1), conduct actual environmental measurements for each area. They are mainly divided into two categories: environmental vibration and environmental factors. Environmental factors include measuring air humidity and acidic or corrosive gas concentrations. Environmental vibration includes measuring the vibration level caused by the flow of air or water in the pipe connected to the support bracket or other factors. The measurement results of each measuring point are sorted by category and formed into a table.

[0042] (3) Forming a point distribution plan: Based on the measurement results of step (2), combined with the on-site zoning conditions, the monitoring points are reasonably arranged. Specifically, based on the measurement results of step (2), the top several points in each category are selected as monitoring points to form a monitoring plan. For major projects, if conditions permit, the plan can be submitted to experts for review. After revision and improvement, the final point distribution plan is formed. In the present invention, the number of points in each category is selected based on the actual cost and monitoring needs.

[0043] (4) Arrangement of monitoring hardware settings: For the supports and hangers, the main monitoring item is the vibration state of the support and hanger structure, so a wireless three-axis acceleration sensor is arranged as the main monitoring tool. The wireless three-axis acceleration sensor is usually installed in the middle of the diagonal rod of the support and hanger, so that when the support and hanger is excited, the vibration state of the three directions of x, y, and z can be captured. If the support and hanger is load-bearing, a high-precision displacement meter can be selected as an additional measurement item. According to the on-site environmental load conditions, when the environmental vibration is weak, a monitoring network with an excitation device can be selected, and when the environmental vibration is large, a monitoring network without an excitation device can also be selected; in the present invention, weak environmental vibration means that the environmental vibration does not reach 5-10% of the range of the three-axis acceleration sensor. The remaining front-end equipment is a dedicated wireless data acquisition instrument for data acquisition, which can be used as a data acquisition terminal or as a router to transmit the collected data. Back-end system equipment such as Figure 1 As shown, it is mainly used for cloud servers or LAN computers for analysis and calculation.

[0044] (5) Equipment debugging: Debug the hardware equipment installed in step (4) to ensure smooth data transmission and remote control, and that the background software platform can correctly display data.

[0045] (6) Set the initial monitoring conditions and officially start the monitoring system: After completing (5), set the initial monitoring conditions (sampling frequency, measurement duration, etc.) of each measuring point on the software platform and officially start the monitoring system. Since the installation process and installation environment of the supports and hangers at each monitoring point are not completely consistent, their initial states must not be completely consistent. Therefore, the supports and hangers at each measuring point must first be measured to determine an initial value. The software system will calculate the initial vibration state characteristic value of each monitored support and hanger based on the initial measurement data as the reference value of the support and hanger.

[0046] (7) Real-time determination of the status of the supports and hangers: During daily monitoring, the software platform can be used to display the marking signals of each monitoring point to determine the status of the supports and hangers. For example, blue indicates a healthy state, and red indicates exceeding the warning value, which is a damaged state. If no monitoring point exceeds the warning value, the monitoring system can continue to monitor normally; if a monitoring point exceeds the warning value, manual intervention is required for the monitoring point that exceeds the warning value. The specific method is to quickly find the supports and hangers of the actual monitoring points according to the measurement point layout diagram displayed on the software platform, and have workers check the damage status of the supports and hangers. The possible conditions are loose bolts or aging of parts. After manual maintenance, the initial state of the monitoring point is reset, and the initial value after maintenance is used as the new baseline value, and then monitoring continues.

[0047] The above is a detailed analysis of the overall process of support and hanger health monitoring. The following focuses on the core algorithm of the support and hanger monitoring system.

[0048] The core idea of ​​this algorithm is: if the installation of supports and hangers meets the design standards, then their initial state must be able to withstand the destructive effects of the designed earthquake force. Therefore, as long as the monitoring system detects that the state of a certain support and hanger has not changed compared to the initial state, or the change is very small, it means that the state of the support and hanger at this time is healthy. On the contrary, when the state of a certain support and hanger changes greatly compared to the initial state (usually a bad change), it means that the support and hanger is damaged. The degree to which the vibration state of the support and hanger deviates from the initial state is, to a certain extent, linked to the degree of its damage. Assisted by manual inspections of monitoring points that exceed the threshold, the effectiveness and reliability of the entire detection system can basically be guaranteed.

[0049] The core algorithm process is as follows:

[0050] (1) The support and hanger vibrates under the influence of environmental vibration or additional excitation devices. The vibration response of the support and hanger structure is picked up by a three-axis wireless acceleration sensor as the input of the algorithm.

[0051] (2) Input sampling frequency Fs (usually 100-200 Hz), take the initial stable measurement of 20 seconds of x0, y0, z0 three-axis acceleration signal as input, perform simple smoothing and denoising, eliminate trend terms, and then calculate the average power spectral density curve of the initial state x, y, z direction, P x0 (w), P y0 (w), P z0 (w). This curve is the initial characteristic reference value (line) of the initial support and hanger.

[0052] (3) In the subsequent monitoring process, the acceleration signal of the hanger x, y, and z axes under the vibration stability condition is collected at the same sampling frequency for 20 seconds as input, and the signal is simply smoothed and denoised in the same way as (2), and the trend term is eliminated. Then, the average power spectrum density curve P in the x, y, and z directions of the current state is calculated. x (w), P y (w), P z (w), the average power spectrum density curve at this time is the characteristic baseline of the current support and hanger state.

[0053] (4) Calculate the similarity between the characteristic baseline of the current support and hanger and the characteristic baseline in the initial state, and then add the similarities of the characteristic baselines in the three directions respectively, which is the characteristic value z of the current vibration state i . In general, z0=3, which is the characteristic value of the vibration state of the support and hanger measured in the initial state. The results of all subsequent measurements are z i ≤3. Based on various damage conditions of various types of supports and hangers tested in a large number of experiments in the early stage, the thresholds can be set to 2.7, 2.4, and 2.1 respectively as a three-level warning mechanism. The smaller the value, the more serious the warning situation.

[0054] (5) Determine whether the current measurement points exceed the warning value. If the warning value is exceeded, the warning level is displayed as yellow (2.7), orange (2.4), and red (2.1) status marks.

[0055] (6) For monitoring points that exceed the warning value, it is necessary to manually inspect the support bracket to confirm the damage condition and perform corresponding maintenance work, and then recalculate the average power spectral density curve of the point as the new initial value.

[0056] Algorithm description:

[0057] 1. The average power spectrum density curve of the signal reflects the vibration state of the support and hanger structure in the entire frequency domain. For the case of relying on environmental vibration as excitation, each measurement needs to be collected multiple times in roughly the same environment, and the average value is used to avoid errors caused by the randomness of environmental factors. For monitoring with additional excitation devices, only 20 seconds of data is needed under the same excitation conditions after the support and hanger enters a stable state to calculate the average power spectrum density curve.

[0058] 2. The algorithm for calculating power spectrum density uses the eigenvector method to estimate the pseudo power spectrum of the signal. This algorithm is particularly suitable for the sinusoidal superposition signal of additive Gaussian white noise. It can be implemented by calling the peig function in MATLAB. It is simple and easy to operate with high calculation efficiency.

[0059] 3. The similarity calculation of the two average power spectral density curves is based on the calculation formula of the Pearson correlation coefficient, which will not be repeated here.

[0060] This algorithm retains all the information of the three-dimensional vibration state of the support and hanger, and fuses the three-dimensional data into single-point value data. It is simple to operate and has a clear physical meaning, that is, the similarity of the support and hanger response spectrum. Once the vibration state of the support and hanger changes, its response spectrum will inevitably change, resulting in a decrease in similarity. This is the theoretical basis of this algorithm.

[0061] The present invention reasonably arranges the monitoring scheme of the support and hanger system through the determination of the most unfavorable environmental load, realizes point-to-surface in the sense of probability statistics, greatly reduces the arrangement of measuring point sensors, and reduces the total cost of the monitoring system. At the same time, the three-axis acceleration sensor is used to monitor the overall performance of a single support and hanger. The vibration state as a global variable can ensure the correct grasp of the overall performance of the support and hanger, avoiding the shortcomings of previous local monitoring, making real-time monitoring of the seismic performance of the support and hanger possible, filling the gap in this field, thereby ensuring that the seismic support can play a normal role when an earthquake actually occurs, and protecting the safety of life and property of the masses.

[0062] The preferred embodiments of the present invention are described in detail above, but the present invention is not limited to the specific details in the above embodiments. Within the technical concept of the present invention, the technical scheme of the present invention can be subjected to various equivalent transformations (such as specifications, quantity, shape, position, etc.), and these equivalent transformations all belong to the protection scope of the present invention.

Claims

1. A method for monitoring the health status of a support and hanger, characterized in that: Includes steps: (1) Determine the supports and hangers installed in the most unfavorable area of ​​a site, and install triaxial acceleration sensors on the supports and hangers in the most unfavorable area; the most unfavorable area is the area where the probability of damage to the supports and hangers is the highest; (2) The corresponding support bracket is initially measured by a triaxial acceleration sensor. The input sampling frequency of the triaxial acceleration sensor is Fs. The triaxial acceleration signals x0, y0, and z0 of the initial stable measurement for 20 seconds are used as inputs. The average power spectrum density curve P in the initial state x, y, and z directions is calculated. x0 (w), P y0 (w), P z0 (w); This curve is the initial characteristic reference line of the initial support and hanger; (3) During the monitoring process, the three-axis acceleration signals x, y, and z under vibration stability conditions are collected for 20 seconds at the same sampling frequency as input, and the average power spectrum density curve P in the x, y, and z directions of the current state is calculated. x (w), P y (w), P z (w) is the characteristic baseline of the current support and hanger state; Calculate the similarity between the characteristic baseline of the current support and hanger and the characteristic baseline in the initial state, and then add the similarities of the characteristic baselines in the three directions respectively, which is the characteristic value z of the current vibration state i ; The current vibration state characteristic value z i Compare with the initial vibration state eigenvalue. If the current vibration state eigenvalue z i If the vibration value is less than the set percentage of the initial vibration state characteristic value, the support and hanger is judged to be in a damaged state; otherwise, the support and hanger is judged to be in a healthy state.

2. The method for monitoring the health status of a support and hanger according to claim 1, characterized in that: The specific method for determining the supports and hangers installed in the most unfavorable area of ​​a site in step (1) is as follows: (11) Conduct environmental measurements on the areas where supports and hangers are installed on the site, including environmental vibration and environmental factors; environmental vibration refers to the vibration level caused by the excitation of the force applied to the supports and hangers in the environment, and environmental factors refer to air humidity or the concentration of acidic or corrosive gases; sort the measurement results of each area by category; (12) According to the ranking in step (11), select the areas with the first several positions in each category as the most unfavorable areas; wherein the number of positions in each category is determined based on the actual cost and monitoring requirements.

3. The method for detecting the health status of a support and hanger according to claim 1, characterized in that: In case of weak environmental vibration, external excitation is used to excite the corresponding support and hanger, and the three-axis acceleration sensor collects the three-axis acceleration signals x, y, and z of the support and hanger for 20 seconds under stable vibration conditions as input; among them, the weak environmental vibration means that the environmental vibration does not reach 5-10% of the measuring range of the three-axis acceleration sensor.

4. The method for detecting the health status of a support and hanger according to claim 1, characterized in that: The setting percentages of the initial vibration state characteristic values ​​are set to three levels of 90%, 80% and 70% to serve as a three-level early warning mechanism.

5. A system for monitoring the health status of a support and hanger, characterized in that: It includes a three-axis acceleration sensor installed on a support bracket in the most unfavorable area of ​​the site and a host computer connected to the three-axis acceleration sensor in communication; The most unfavorable area in the site is the area where the support and hanger are most likely to be damaged; The three-axis acceleration sensor initially collects the vibration response of the corresponding support and hanger and sends it to the host computer; the input sampling frequency of the three-axis acceleration sensor is Fs, and the host computer takes the three-axis acceleration signals x0, y0, z0 of the initial stable measurement for 20 seconds as input, and calculates the average power spectrum density curve P in the initial state x, y, z directions x0 (w), P y0 (w), P z0 (w); This curve is the initial characteristic reference line of the initial support and hanger; During the monitoring process, the host computer collects 20 seconds of three-axis acceleration signals x, y, and z under vibration stability conditions at the same sampling frequency as input, and calculates the average power spectrum density curve P in the current state x, y, and z directions. x (w), P y (w), P z (w) is the characteristic baseline of the current support and hanger state; The host computer calculates the similarity between the characteristic baseline of the current support and hanger and the characteristic baseline in the initial state, and then adds the similarities of the characteristic baselines in the three directions respectively, which is the characteristic value z of the current vibration state. i ; The current vibration state characteristic value z i Compare with the initial vibration state eigenvalue. If the current vibration state eigenvalue z i If the vibration value is less than the set percentage of the initial vibration state characteristic value, the support and hanger is judged to be in a damaged state; otherwise, the support and hanger is judged to be in a healthy state.

6. The system for monitoring the health status of the support and hanger according to claim 5, characterized in that: It also includes a cloud server and a mobile terminal. The cloud server is connected to a host computer via the Internet, and the mobile terminal is connected to the cloud server via the Internet. The host computer sends the monitoring results to the cloud server or the mobile terminal via the Internet.

7. The system for monitoring the health status of the support and hanger according to claim 6, characterized in that: The host computer, cloud server or mobile terminal is provided with a monitoring indication module, and the monitoring indication module marks the health status of the support and hanger by color, wherein blue indicates a healthy status and red indicates a damaged status.

8. The system for monitoring the health status of supports and hangers according to claim 5, characterized in that: It also includes an external excitation device, which performs multiple external excitations under the same excitation conditions on the support and hanger when the support and hanger is located in an environment with weak vibration; after the support and hanger enters a stable state, the three-axis acceleration signal of the support and hanger for 20 seconds can be used to calculate the average power spectral density curve.

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