Defect Area Data Acquisition and Analysis System and Method for Acoustic Emission Sensor Array

Abstract

The present invention discloses a defect area data acquisition and analysis system and method for an acoustic emission sensor array, relating to the technical field of data acquisition and analysis. The method of the present invention includes: S10: obtaining modal characteristic samples of damage acoustic emission signals in a prefabricated defect area of a prefabricated gas cylinder by using a modal broadband sensor array; S20: predicting the interference index between each defect and screening and processing the continuous damage acoustic emission signals in the defect area collected by each modal broadband sensor; S30: predicting the defect degree of each defect in the gas cylinder to be measured; S40: rating the damage state of the gas cylinder to be measured. Based on the interference index, the present invention screens and processes the continuous damage acoustic emission signals collected by the common modal broadband sensors to eliminate the mutual interference of the acoustic emission signals in different defect areas caused by the propagation of different sound sources, ensuring that the finally obtained characteristic parameters can effectively reflect the defect conditions of the corresponding defect areas.

Description

Technical Field

[0001] The present invention relates to the technical field of data acquisition and analysis, and specifically to a system and method for data acquisition and analysis of defect areas of an acoustic emission sensor array. Background Art

[0002] The plastic inner liner fiber-wound gas cylinder is a new type of gas cylinder with excellent properties such as high strength, light weight, and corrosion resistance. It mainly consists of an inner liner, an outer shell, fibers, and adhesives. The inner liner is the main body for carrying gas, the outer shell plays a role in protection and support, the fibers wound on the outer shell, and the adhesives for fixing the fibers are used to enhance the strength and stability of the gas cylinder, ensuring that the gas cylinder can withstand higher pressures and weights.

[0003] In the prior art, when analyzing the defect conditions in a gas cylinder through the data collected by an acoustic emission sensor array, due to the mutual interference between the damage acoustic emission signals generated by the gas cylinder under pressure, there are certain errors in the characteristic parameters obtained from the damage acoustic emission signals, thereby reducing the analysis accuracy. At the same time, the prior art does not consider the interference between the propagation paths of acoustic emission signals when arranging the positions of acoustic emission sensors, and the prior art has a low analysis accuracy when analyzing the damage degree of the gas cylinder. Summary of the Invention

[0004] The purpose of the present invention is to provide a system and method for data acquisition and analysis of defect areas of an acoustic emission sensor array to solve the problems proposed in the prior art.

[0005] To achieve the above purpose, the present invention provides the following technical solution: A method for data acquisition and analysis of defect areas of an acoustic emission sensor array, the method comprising:

[0006] S10: Electrically connect a pressure transmitter and an acoustic emission monitoring system to a modal broadband sensor arranged on a prefabricated gas cylinder respectively, connect a water pressure pump to the mouth of the prefabricated gas cylinder through a pipeline. There are 8 modal broadband sensors arranged on the prefabricated gas cylinder. Perform stepwise pressure increase treatment on the prefabricated gas cylinder through the water pressure pump. During this process, use the modal broadband sensor array to obtain the modal characteristic samples of the damage acoustic emission signals in the prefabricated defect area of the prefabricated gas cylinder;

[0007] S20: Replace the prefabricated gas cylinder with the gas cylinder to be tested, and preliminarily determine the positions of the defects in the gas cylinder to be tested by means of ultrasonic CT scanning. Based on the requirement for the arrangement of the modal wideband sensors that each defect is located in the central area of the triangular array of modal wideband sensors, determine the arrangement positions of the modal wideband sensors in the gas cylinder to be tested, and perform a step-by-step pressure increase treatment on the gas cylinder to be tested. During this process, according to the continuous damage acoustic emission signals of the defect areas collected by each modal wideband sensor, predict the interference index between the defects, and according to the prediction results, screen the continuous damage acoustic emission signals of the defect areas collected by each modal wideband sensor;

[0008] S30: Based on the screening results of the continuous damage acoustic emission signals of the defect areas collected by each common modal wideband sensor in S20, determine the modal characteristic samples of the damage acoustic emission signals of each defect area in the gas cylinder to be tested. Based on the determination results, predict the defect degree of each defect in the gas cylinder to be tested;

[0009] S40: Rate the damage state of the gas cylinder to be tested.

[0010] Further, S10 further includes:

[0011] S101: There are three defects on the prefabricated gas cylinder. In the axial direction of the prefabricated gas cylinder, they are respectively located at the head, the middle of the cylinder body, and the transition area between the head and the cylinder body. The heads and the transition areas between the heads and the cylinder body are distributed on both heads. In the radial direction of the prefabricated gas cylinder;

[0012] S102: The distribution of the 8 modal wideband sensors arranged on the prefabricated gas cylinder is as follows: 1 modal wideband sensor is arranged at each of the upper and lower heads of the prefabricated gas cylinder, and 3 modal wideband sensors are respectively arranged at the upper and lower transition sections of the prefabricated gas cylinder. The 3 modal wideband sensors arranged at the upper and lower transition sections are staggered, and each prefabricated defect is located in the central area of the modal wideband sensor array;

[0013] S103: The modal characteristic samples of the damage acoustic emission signals in the prefabricated defect areas of the prefabricated gas cylinder include the total number of acoustic emission events, ring-down counts, amplitudes, durations, constant-load acoustic emission continuation times, and Felicity ratios that appear before reaching 80% of the previous maximum load during multiple pressure cycles of repeated loading.

[0014] Further, the specific method for predicting the interference index between the defects in S20 is:

[0015] Ⅰ. Construct a 3D model of the gas cylinder to be tested. Randomly select a point in the 3D model as the coordinate origin to construct a 3D space coordinate system. Use the ultrasonic CT scanning method to determine the positions of various defects existing in the gas cylinder to be tested. Based on the requirement for the arrangement of the modal wideband sensors that each defect is located in the central area of the triangular array of modal wideband sensors, determine the arrangement positions of the modal wideband sensors in the gas cylinder to be tested. Based on the determination result, when the gas cylinder to be tested is subjected to stepwise pressurization treatment by a water pressure pump, obtain the continuous acoustic emission signals of the damage in the defect area collected by each modal wideband sensor in real time;

[0016] Number the triangular arrays of each modal wideband sensor arranged in the gas cylinder to be tested. The numbering result is: i = 1, 2, …, m; m represents the total number of triangular arrays of modal wideband sensors arranged in the gas cylinder to be tested;

[0017] Ⅱ. Randomly select two triangular arrays of modal wideband sensors. Denote the numbers of the two selected triangular arrays of modal wideband sensors as i and j respectively, where j = 1, 2, …, m and j ≠ i. If there are common modal wideband sensors in the two selected triangular arrays of modal wideband sensors, assume the number of the common modal wideband sensor in the triangular array of modal wideband sensors is 1. Then, according to the constructed prediction model, predict the interference index between the defect in the central area of the triangular array of modal wideband sensors numbered i and the defect in the central area of the triangular array of modal wideband sensors numbered j at a time delay of γ. The specific prediction model is:

[0018]

[0019] where t represents the time value, f i1 (t) represents the continuous acoustic emission signal of the damage in the defect area collected by the first modal wideband sensor in the triangular array of modal wideband sensors numbered i in the time period [t i1 , t]. i′ represents the number corresponding to the defect in the central area of the triangular array of modal wideband sensors numbered i, j′ represents the number corresponding to the defect in the central area of the triangular array of modal wideband sensors numbered j, t0 represents the initial time when the modal wideband sensor collects the voltage signal, γ represents the time difference. If in A > 1, then If in A ≤ 1, then min represents the minimum symbol, W i2i3 、W j2j3 respectively represent the correlation indices between the continuous acoustic emission signals of the damage in the defect area collected by the second and third modal wideband sensors in the triangular arrays of modal wideband sensors numbered i and j in the time period [t0, t];

[0020] Ⅲ. If R i′j′ (γ) > 0.4, then the continuous damage acoustic emission signals of the defect area collected by the common-mode broadband sensor in the time period [t0, t] are removed. If R i′j′ (γ) ≤ 0.4, then the continuous damage acoustic emission signals of the defect area collected by the common-mode broadband sensor in the time period [t0, t] are retained;

[0021] Ⅳ. Based on the common-mode broadband sensor, determine the numbers of the other adjacent modal broadband sensor triangular arrays of the modal broadband sensor triangular array numbered i. Based on the determination result, repeat the operations of Ⅰ to Ⅲ to screen and process the continuous damage acoustic emission signals of the defect area collected by the common-mode broadband sensor in the time period [t0, t] again;

[0022] The finally screened and processed damage acoustic emission signals are the damage acoustic emission signals of the defect area located in the central area of the modal broadband sensor triangular array numbered i. This process can effectively remove the aliased signals existing in the collected damage acoustic emission signals, which is beneficial to effectively analyzing the defect conditions of each defect.

[0023] Further, the S30 includes:

[0024] S301: Use the acoustic emission monitoring system to process the screening and processing results of the continuous damage acoustic emission signals of the defect area collected by each common-mode broadband sensor, and output the waveforms of the damage acoustic emission signals of the defect area located in the central area of each modal broadband sensor triangular array where the common-mode broadband sensor is located. Based on the output waveforms and the determination method of the modal characteristic samples of the damage acoustic emission signals of the prefabricated defect area of the prefabricated gas cylinder, determine the modal characteristic samples of the damage acoustic emission signals of each defect area in the gas cylinder to be tested;

[0025] S302: According to Predict the damage degree of the defect area numbered i' at time t, where p = 1, 2, 3 represents the numbers corresponding to each modal broadband sensor in the modal broadband sensor triangular array, e represents a constant and e > 1, s ipt represents the total number of acoustic emission events that occur in the p-th modal broadband sensor in the modal broadband sensor triangular array numbered i in the time period [t0, t], h ipt 、c ipt respectively represent the amplitude and duration corresponding to the p-th modal broadband sensor in the modal broadband sensor triangular array numbered i in the time period [t0, t], F ipt 、y iptrespectively represent the Felicity ratio and the constant load acoustic emission duration corresponding to the most recent pressurization of the p-th modal wideband sensor in the triangular array of modal wideband sensors numbered i during the time period [t0, t], N ipt represents the total number of cumulative ringing corresponding to the p-th modal wideband sensor in the triangular array of modal wideband sensors numbered i at time t, N′ ipt represents the total number of cumulative ringing corresponding to the p-th modal wideband sensor in the triangular array of modal wideband sensors numbered i during the time period [t0, t].

[0026] Furthermore, the specific method for the S40 to rate the damage state of the gas cylinder to be tested is as follows:

[0027] According to the modal feature samples of the damage acoustic emission signals in the prefabricated defect areas of the prefabricated gas cylinders obtained in S10, collect the durations corresponding to each prefabricated defect, and use the collected durations corresponding to each prefabricated defect and the defect volumes corresponding to each prefabricated defect as the training set to train a linear model to obtain a relationship model U between the duration corresponding to the prefabricated defect and the defect volume corresponding to the prefabricated defect;

[0028] According to predict the damage state evaluation index of the gas cylinder to be tested, where V represents the volume of the inner liner and the outer shell of the gas cylinder to be tested after fiber winding treatment, represents the defect volume corresponding to the defect in the central area of the triangular array of modal wideband sensors numbered i during the time period [t0, t],

[0029]

[0030] If 0 ≤ Q < 0.3, it means that the gas cylinder to be tested has a first-level damage;

[0031] If 0.3 ≤ Q < 0.6, it means that the gas cylinder to be tested has a second-level damage;

[0032] If 0.6 ≤ Q ≤ 1, it means that the gas cylinder to be tested has a third-level damage.

[0033] A defect area data acquisition and analysis system for an acoustic emission sensor array, the system includes a modal feature sample acquisition module, an interference index prediction module, a defect damage degree prediction module, and a damage rating module;

[0034] The modal feature sample acquisition module is used to obtain the modal feature samples of the damage acoustic emission signals in the prefabricated defect areas of the prefabricated gas cylinders by using a modal wideband sensor array;

[0035] The interference index prediction module is used to predict the interference index between each defect, and according to the prediction result, screen and process the continuous damage acoustic emission signal of the defect area collected by each modal broadband sensor;

[0036] The defect damage degree prediction module is used to predict the defect degree of each defect in the gas cylinder to be tested;

[0037] The damage rating module is used to rate the damage status of the gas cylinder to be tested.

[0038] Furthermore, the modal feature sample acquisition module electrically connects the pressure transmitter and the acoustic emission monitoring system to the modal broadband sensor arranged on the prefabricated gas cylinder, respectively, and connects the water pressure pump to the bottle mouth of the prefabricated gas cylinder through a pipeline. Eight modal broadband sensors are arranged on the prefabricated gas cylinder, and the prefabricated gas cylinder is subjected to graded pressurization treatment by the water pressure pump. In this process, the modal feature samples of the damage acoustic emission signal of the prefabricated defect area of ​​the prefabricated gas cylinder are acquired by using the modal broadband sensor array.

[0039] Furthermore, the interference index prediction module includes a damage acoustic emission continuous signal acquisition unit, a common mode broadband sensor search unit, an interference index prediction unit and a screening and retention unit;

[0040] The damage acoustic emission continuous signal acquisition unit determines the position of each defect in the gas cylinder to be tested by ultrasonic CT scanning, and determines the arrangement position of the modal broadband sensor in the gas cylinder to be tested based on the modal broadband sensor arrangement requirement that each defect is located in the central area of ​​the modal broadband sensor triangular array. Based on the determination result, and when the gas cylinder to be tested is subjected to graded pressurization by a hydraulic pump, the damage acoustic emission continuous signal of the defect area collected in real time by each modal broadband sensor is acquired;

[0041] The common modal broadband sensor searching unit searches for the common modal broadband sensor in two randomly selected modal broadband sensor triangle arrays;

[0042] The interference index prediction unit predicts the interference index between defects in the central area of ​​the triangular array of two modal broadband sensors having a common modal broadband sensor according to the constructed prediction model;

[0043] The screening and retention unit selects whether to remove the continuous damage acoustic emission signals of the defective area collected by the common modal broadband sensor within a period of time according to the prediction result of the interference index prediction unit, and determines the damage acoustic emission signals of the defective area in the central area of ​​the triangular array where the common modal broadband sensor is located based on the final removal result.

[0044] Further, the defect degree prediction module includes a modal feature sample determination unit and a defect area damage degree prediction unit;

[0045] The modal feature sample determination unit processes the screening results of the damage acoustic emission continuous signals of the defect areas collected by each common modal broadband sensor using an acoustic emission monitoring system, and outputs the waveforms of the damage acoustic emission signals of the defect areas located in the central area of the triangular array of the modal broadband sensors where each common modal broadband sensor is located. Based on the output waveforms and the determination method of the modal feature samples of the damage acoustic emission signals of the prefabricated defect areas of the prefabricated gas cylinders, the modal feature samples of the damage acoustic emission signals of each defect area in the gas cylinder to be tested are determined;

[0046] The defect area damage degree prediction unit predicts the real-time damage degree of each defect predicted in the gas cylinder to be tested according to the constructed prediction formula.

[0047] Further, the damage rating module includes a relationship model training unit, a damage state evaluation index prediction unit, and a rating processing unit;

[0048] The relationship model training unit collects the duration corresponding to each prefabricated defect according to the modal feature samples of the damage acoustic emission signals of the prefabricated defect areas of the prefabricated gas cylinders, and uses the collected duration corresponding to each prefabricated defect and the defect volume corresponding to each prefabricated defect as a training set to train a linear model to obtain a relationship model between the duration corresponding to the prefabricated defect and the defect volume corresponding to the prefabricated defect;

[0049] The damage state evaluation index prediction unit predicts the damage state evaluation index of the gas cylinder to be tested according to the trained relationship model and the damage degree of each defect area predicted by the defect area damage degree prediction unit;

[0050] The rating processing unit compares the prediction result of the damage state evaluation index prediction unit with the rating threshold, and determines the damage rating of the gas cylinder to be tested according to the comparison result.

[0051] Compared with the prior art, the beneficial effects of the present invention are:

[0052] 1. The present invention obtains the modal feature samples of the damage acoustic emission signals of each prefabricated defect through prefabricated defects. When determining the positions of the modal broadband sensors and the prefabricated defects in the prefabricated gas cylinders, each prefabricated defect is placed in the central area of the triangular array of the modal broadband sensors, and there is a certain distance and angular interval between each prefabricated defect, which can minimize the mutual interference of the acoustic emission signals of different defect areas caused by the propagation of the sound source on the basis of meeting the defect samples, and ensure that the modal feature samples of the damage acoustic emission signals of the prefabricated defect areas of the prefabricated gas cylinders obtained are more representative.

[0053] 2. The present invention realizes the prediction of the interference index between various defects by searching for the common modal broadband sensors in the triangular array of modal broadband sensors, and based on the prediction results, screens and processes the continuous damage acoustic emission signals collected by the common modal broadband sensors to eliminate the mutual interference of the acoustic emission signals in different defect regions caused by the propagation of different sound sources, ensuring that the characteristic parameters obtained from the screened continuous damage acoustic emission signals can effectively reflect the defect conditions in the corresponding defect regions, and further improving the defect analysis accuracy of the defect regions.

[0054] 3. The present invention predicts the damage degree of the defects located in the triangular array of modal broadband sensors through the modal characteristic samples corresponding to the screened damage acoustic emission signals of each modal broadband sensor in the triangular array of modal broadband sensors. During the process of determining the damage rating of the gas cylinder, considering the relationship between the defect volume and the duration of the damage acoustic emission signal, it is ensured that the determined damage rating can better reflect the true damage situation of the gas cylinder to be tested, and the analysis effect of the system on the data in the defect region is improved. BRIEF DESCRIPTION OF THE DRAWINGS

[0055] Figure 1 It is a schematic working flow diagram of the system and method for collecting and analyzing data in the defect region of the acoustic emission sensor array of the present invention;

[0056] Figure 2 It is a schematic structural diagram of the working principle of the system and method for collecting and analyzing data in the defect region of the acoustic emission sensor array of the present invention;

[0057] Figure 3 It is a schematic cross-sectional structure diagram of the gas cylinder of the system and method for collecting and analyzing data in the defect region of the acoustic emission sensor array of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0058] Next, the technical solutions in the embodiments of the present invention will be clearly and completely described in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all of the embodiments. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative efforts shall fall within the protection scope of the present invention.

[0059] Embodiment: As Figure 1 、 Figure 2 and Figure 3 shown, the present invention provides a technical solution for a system and method for collecting and analyzing data in the defect region of an acoustic emission sensor array. The method for collecting and analyzing data in the defect region of the acoustic emission sensor array includes:

[0060] S10: Electrically connect a pressure transmitter and an acoustic emission monitoring system to modal broadband sensors arranged on a prefabricated gas cylinder respectively. The model of the modal broadband sensor is PKBBI, which is used to receive elastic waves generated by defects and generate a matching voltage signal according to the received elastic waves. The model of the acoustic emission monitoring system is the 16-channel Express-16 acoustic emission monitoring system, which is used to collect the voltage signals amplified by the modal broadband sensors and perform A / D conversion on the collected voltage signals to obtain matching digital signals. The prefabricated gas cylinder refers to a plastic inner liner fiber-wound gas cylinder with prefabricated defects. The main function of the pressure transmitter is to convert the pressure signal into an electrical signal. Connect the water pressure pump to the mouth of the prefabricated gas cylinder through a pipeline. There are 8 modal broadband sensors arranged on the prefabricated gas cylinder. The prefabricated gas cylinder is subjected to stepwise pressure increase treatment through the water pressure pump. During this process, use a modal broadband sensor array (the modal broadband sensor array refers to 8 modal broadband sensors arranged in an array form) to obtain the modal characteristic samples of the damage acoustic emission signals in the prefabricated defect area of the prefabricated gas cylinder. Use methods such as fiber cutting and foreign object implantation during the winding process to achieve defect prefabrication at different positions and depths of the gas cylinder. The fiber fracture defect is formed by artificially cutting the fiber bundle at different position areas during the winding process of the gas cylinder at the same circumferential angle to form local fiber fractures;

[0061] S10 also includes:

[0062] S101: There are three defects on the prefabricated gas cylinder. In the axial direction of the prefabricated gas cylinder, they are located at the head, the middle of the cylinder body, and the transition area between the head and the cylinder body respectively. The heads and the transition areas between the head and the cylinder body are distributed on both heads. In the radial direction of the prefabricated gas cylinder, there are certain distance and angle intervals between the three defects, which can minimize the mutual interference of the acoustic emission signals in different defect areas caused by the propagation of the sound source on the basis of meeting the defect samples, ensure that the modal characteristic samples of the damage acoustic emission signals in the prefabricated defect area of the prefabricated gas cylinder obtained are more representative, and at the same time facilitate the arrangement of the modal broadband sensor array. Each defect is located in the central area of the modal broadband sensor triangular array;

[0063] S102: The distribution of the 8 modal broadband sensors arranged on the prefabricated gas cylinder is as follows: 1 modal broadband sensor is arranged at each of the upper and lower heads of the prefabricated gas cylinder, and 3 modal broadband sensors are arranged at the upper and lower transition sections of the prefabricated gas cylinder respectively. The 3 modal broadband sensors arranged at the upper and lower transition sections are staggered. Each prefabricated defect is located in the central area of the modal broadband sensor array;

[0064] S103: The modal characteristic samples of the damage acoustic emission signals in the prefabricated defect areas of the prefabricated gas cylinders include the total number of acoustic emission events that appear before reaching 80% of the previous maximum load during repeated loading in multiple pressure cycles (when the signal waveform exceeds the preset threshold voltage and maintains for a certain time, a rectangular pulse is formed, and each rectangular pulse corresponds to an acoustic emission event), ring-down count (the number of oscillations crossing the threshold, where the threshold refers to the preset threshold voltage), amplitude (the maximum amplitude value of the signal waveform), duration (the time interval from when the acoustic emission signal pulse first crosses the threshold to when it finally drops to the threshold), the duration of acoustic emission during constant load, and the Felicity ratio. The Felicity ratio is an index used to describe the irreversible degree of the acoustic emission process of the material, and Felicity ratio = the stress level when effective acoustic emission resumes during the (i + 1)-th loading process / the highest stress level received previously (effective acoustic emission refers to the phenomenon that local stress concentration occurs in the material, rapidly releases energy, and generates transient elastic waves). The duration of acoustic emission during constant load refers to the time during which the acoustic emission phenomenon persists under the condition of constant load;

[0065] S20: Replace the prefabricated gas cylinder with the gas cylinder to be tested, initially determine the positions of the defects in the gas cylinder to be tested by means of ultrasonic CT scanning. Based on the requirement for the layout of the modal wideband sensors that each defect is located in the central area of the triangular array of modal wideband sensors, determine the layout positions of the modal wideband sensors in the gas cylinder to be tested. Perform a stepped pressure treatment on the gas cylinder to be tested (the stepped pressure treatment includes a pressure increase treatment, a pressure holding treatment, and a pressure relief treatment. The pressure holding time during the pressure holding treatment is 4 minutes. After the pressure holding treatment, the pressure is released to the pressure level during the previous pressure increase before proceeding with the next pressure increase. The pressure value during the next pressure increase - the pressure value during the previous pressure increase = the standard value of a single pressure increase). During this process, predict the interference index between the defects according to the continuous damage acoustic emission signals in the defect areas collected by each modal wideband sensor, and perform a screening process on the continuous damage acoustic emission signals in the defect areas collected by each modal wideband sensor according to the prediction results;

[0066] The specific method for S20 to predict the interference index between the defects is as follows:

[0067] Ⅰ. Construct a three-dimensional model of the gas cylinder to be tested. Randomly select a point in the three-dimensional model as the coordinate origin to construct a three-dimensional space coordinate system. Determine the positions of the defects existing in the gas cylinder to be tested by means of ultrasonic CT scanning. Based on the requirement for the layout of the modal wideband sensors that each defect is located in the central area of the triangular array of modal wideband sensors, determine the layout positions of the modal wideband sensors in the gas cylinder to be tested. Based on the determination results, when performing a stepped pressure treatment on the gas cylinder to be tested through a water pressure pump, obtain the continuous damage acoustic emission signals in the defect areas collected by each modal wideband sensor in real time;

[0068] Number each triangular array of modal broadband sensors arranged in the gas cylinder to be measured. The numbering result is: i = 1, 2, …, m; m represents the total number of triangular arrays of modal broadband sensors arranged in the gas cylinder to be measured;

[0069] II. Randomly select two triangular arrays of modal broadband sensors. Denote the numbers of the two selected triangular arrays of modal broadband sensors as i and j respectively, where j = 1, 2, …, m and j ≠ i. If there are common modal broadband sensors in the two selected triangular arrays of modal broadband sensors (a common modal broadband sensor means a modal broadband sensor exists in both triangular arrays of modal broadband sensors), assume the number of the common modal broadband sensor in the triangular array of modal broadband sensors is 1. Then, according to the constructed prediction model, predict the interference index between the defect in the central region of the triangular array of modal broadband sensors numbered i and the defect in the central region of the triangular array of modal broadband sensors numbered j at a time delay of γ. The specific prediction model is:

[0070]

[0071] where t represents the time value, f i1 (t) represents the continuous damage acoustic emission signal of the defect area collected by the first modal broadband sensor in the triangular array of modal broadband sensors numbered i during the time period [t i1 , t], f i2 (t) represents the continuous damage acoustic emission signal of the defect area collected by the second modal broadband sensor in the triangular array of modal broadband sensors numbered i during the time period [t i2 , t], f i3 (t) represents the continuous damage acoustic emission signal of the defect area collected by the third modal broadband sensor in the triangular array of modal broadband sensors numbered i during the time period [t0, t]. i′ represents the number corresponding to the defect in the central region of the triangular array of modal broadband sensors numbered i, j′ represents the number corresponding to the defect in the central region of the triangular array of modal broadband sensors numbered j, t0 represents the initial time when the modal broadband sensor collects the voltage signal, γ represents the time difference. If in A > 1, then If in A ≤ 1, then min represents the minimum symbol, W i2i3 、W j2j3 respectively represent the correlation indices between the continuous damage acoustic emission signals of the defect area collected by the second and third modal broadband sensors in the triangular arrays of modal broadband sensors numbered i and j during the time period [t0, t];

[0072] III. If Ri′j′ (γ) > 0.4, then the continuous damage acoustic emission signals of the defect area collected by the common-mode broadband sensor within the time period [t0, t] are excluded. If R i′j′ (γ) ≤ 0.4, then the continuous damage acoustic emission signals of the defect area collected by the common-mode broadband sensor within the time period [t0, t] are retained;

[0073] IV. Based on the common-mode broadband sensor, determine the numbers of other adjacent modal broadband sensor triangular arrays of the modal broadband sensor triangular array numbered i (if there is a common-mode broadband sensor in two modal broadband sensor triangular arrays, the above two modal broadband sensor triangular arrays are called adjacent modal broadband sensor triangular arrays). Based on the determination result, repeat the operations of I to III to screen and process the continuous damage acoustic emission signals of the defect area collected by the common-mode broadband sensor within the time period [t0, t] again;

[0074] The finally screened and processed damage acoustic emission signals are the damage acoustic emission signals of the defect area located in the central area of the modal broadband sensor triangular array numbered i. There are three damage acoustic emission signals for each defect area because there are three modal broadband sensors in the array where each defect area is located;

[0075] S30: Based on the screening and processing results of the continuous damage acoustic emission signals of the defect area collected by each common-mode broadband sensor in S20, determine the modal feature samples of the damage acoustic emission signals of each defect area in the gas cylinder to be tested. Based on the determination result, predict the defect degree of each defect in the gas cylinder to be tested;

[0076] S30 includes:

[0077] S301: Use the acoustic emission monitoring system to process the screening and processing results of the continuous damage acoustic emission signals of the defect area collected by each common-mode broadband sensor, and output the waveforms of the damage acoustic emission signals of the defect area located in the central area of each modal broadband sensor triangular array where the common-mode broadband sensor is located. Based on the output waveforms and the determination method of the modal feature samples of the damage acoustic emission signals of the prefabricated defect area of the prefabricated gas cylinder, determine the modal feature samples of the damage acoustic emission signals of each defect area in the gas cylinder to be tested. There are three modal feature samples of the damage acoustic emission signals for each defect area in the gas cylinder to be tested;

[0078] S302: According to Predict the damage degree of the defect area numbered i' at time t, where p = 1, 2, 3 represents the numbers corresponding to each modal broadband sensor in the modal broadband sensor triangular array, e is a constant and e > 1, s iptDenote the total number of acoustic emission events that occur to the p-th modal broadband sensor in the triangular array of modal broadband sensors numbered i during the time period [t0, t], h ipt 、c ipt respectively denote the amplitude and duration corresponding to the p-th modal broadband sensor in the triangular array of modal broadband sensors numbered i during the time period [t0, t], F ipt 、y ipt respectively denote the Felicity ratio and the sustained acoustic emission duration corresponding to the p-th modal broadband sensor in the triangular array of modal broadband sensors numbered i during the most recent pressurization within the time period [t0, t], N ipt Denote the total cumulative ringing count corresponding to the p-th modal broadband sensor in the triangular array of modal broadband sensors numbered i at time t, N′ ipt Denote the total cumulative ringing count corresponding to the p-th modal broadband sensor in the triangular array of modal broadband sensors numbered i during the time period [t0, t]; ;

[0079] S40: Perform a rating process on the damage state of the gas cylinder to be tested. The specific method is as follows:

[0080] According to the modal feature samples of the damage acoustic emission signals in the prefabricated defect areas of the prefabricated gas cylinders obtained in S10, collect the durations corresponding to each prefabricated defect, and use the collected durations corresponding to each prefabricated defect and the defect volumes corresponding to each prefabricated defect as the training set to train a linear model to obtain a relationship model U between the duration corresponding to the prefabricated defect and the defect volume corresponding to the prefabricated defect;

[0081] According to Predict the damage state evaluation index of the gas cylinder to be tested. Among them, V represents the volume of the inner liner and the outer shell of the gas cylinder to be tested after fiber winding treatment, Denote the defect volume corresponding to the defect in the central area of the triangular array of modal broadband sensors numbered i during the time period [t0, t],

[0082]

[0083] If 0 ≤ Q < 0.3, it indicates that the gas cylinder to be tested has a first-level damage;

[0084] If 0.3 ≤ Q < 0.6, it indicates that the gas cylinder to be tested has a second-level damage;

[0085] If 0.6 ≤ Q ≤ 1, it indicates that the gas cylinder to be tested has a third-level damage.

[0086] A data acquisition and analysis system for the defect area of an acoustic emission sensor array. The system includes a modal feature sample acquisition module, an interference index prediction module, a defect damage degree prediction module, and a damage rating module;

[0087] The modal feature sample acquisition module is used to acquire the modal feature samples of the damage acoustic emission signals in the prefabricated defect area of the prefabricated gas cylinder by using the modal broadband sensor array;

[0088] The modal feature sample acquisition module electrically connects the pressure transmitter and the acoustic emission monitoring system to the modal broadband sensors arranged on the prefabricated gas cylinder respectively, connects the water pressure pump to the mouth of the prefabricated gas cylinder through a pipeline, 8 modal broadband sensors are arranged on the prefabricated gas cylinder, and the prefabricated gas cylinder is subjected to stepwise pressure increase treatment by the water pressure pump. During this process, the modal feature samples of the damage acoustic emission signals in the prefabricated defect area of the prefabricated gas cylinder are acquired by using the modal broadband sensor array;

[0089] The interference index prediction module is used to predict the interference index between each defect, and according to the prediction result, screen and process the continuous damage acoustic emission signals in the defect area collected by each modal broadband sensor;

[0090] The interference index prediction module includes a continuous damage acoustic emission signal acquisition unit, a common modal broadband sensor searching unit, an interference index prediction unit and a screening and retention unit;

[0091] The continuous damage acoustic emission signal acquisition unit determines the positions of each defect existing in the gas cylinder to be measured by means of ultrasonic CT scanning. Based on the requirement of arranging the modal broadband sensors that each defect is located in the central area of the modal broadband sensor triangular array, the arrangement positions of the modal broadband sensors in the gas cylinder to be measured are determined. Based on the determination result, when the gas cylinder to be measured is subjected to stepwise pressure increase treatment by the water pressure pump, the continuous damage acoustic emission signals in the defect area collected by each modal broadband sensor in real time are acquired;

[0092] The common modal broadband sensor searching unit searches for the common modal broadband sensors in two randomly selected modal broadband sensor triangular arrays;

[0093] The interference index prediction unit predicts the interference index between the defects in the central areas of the two modal broadband sensor triangular arrays with common modal broadband sensors according to the constructed prediction model;

[0094] The screening and retention unit selects whether to eliminate the continuous damage acoustic emission signals in the defect area collected by the common modal broadband sensor within a period of time according to the prediction result of the interference index prediction unit, and based on the final elimination result, determines the damage acoustic emission signals in the defect area in the central area of the triangular array where the common modal broadband sensor is located;

[0095] The defect damage degree prediction module is used to predict the defect degree of each defect in the gas cylinder to be measured;

[0096] The defect degree prediction module includes a modal feature sample determination unit and a defect area damage degree prediction unit;

[0097] The modal feature sample determination unit processes the screening results of the damage acoustic emission continuous signals of the defect areas collected by the acoustic emission monitoring system for each common modal broadband sensor, and outputs the waveforms of the damage acoustic emission signals of the defect areas located in the central area of the modal broadband sensor triangular array where each common modal broadband sensor is located. Based on the output waveforms and the determination method of the modal feature samples of the damage acoustic emission signals of the prefabricated defect areas of the prefabricated gas cylinders, the modal feature samples of the damage acoustic emission signals of each defect area in the gas cylinder to be measured are determined;

[0098] The defect area damage degree prediction unit predicts the real-time damage degree of each defect predicted in the gas cylinder to be measured according to the constructed prediction formula;

[0099] The damage rating module is used to rate the damage state of the gas cylinder to be measured;

[0100] The damage rating module includes a relationship model training unit, a damage state evaluation index prediction unit, and a rating processing unit;

[0101] The relationship model training unit collects the duration corresponding to each prefabricated defect according to the modal feature samples of the damage acoustic emission signals of the prefabricated defect areas of the prefabricated gas cylinders, uses the collected duration corresponding to each prefabricated defect and the defect volume corresponding to each prefabricated defect as the training set, trains the linear model, and obtains the relationship model between the duration corresponding to the prefabricated defect and the defect volume corresponding to the prefabricated defect;

[0102] The damage state evaluation index prediction unit predicts the damage state evaluation index of the gas cylinder to be measured according to the trained relationship model and the damage degree of each defect area predicted by the defect area damage degree prediction unit;

[0103] The rating processing unit compares the prediction result of the damage state evaluation index prediction unit with the rating threshold, and determines the damage rating of the gas cylinder to be measured according to the comparison result.

[0104] For those skilled in the art, it is obvious that the present invention is not limited to the details of the above exemplary embodiments, and the present invention can be implemented in other specific forms without departing from the spirit or basic characteristics of the present invention. Therefore, from any point of view, the embodiments should be regarded as exemplary and non-limiting. The scope of the present invention is defined by the appended claims rather than the above description. Therefore, all changes falling within the meaning and scope of the equivalent elements of the claims are intended to be included in the present invention. Any reference signs in the claims should not be regarded as limiting the claims involved.

Claims

1. A defect area data acquisition and analysis method for an acoustic emission sensor array, characterized in that: The method comprises: S10: The pressure transmitter and the acoustic emission monitoring system are electrically connected to the modal broadband sensor arranged on the prefabricated gas cylinder respectively, and the water pressure pump is connected to the bottle mouth of the prefabricated gas cylinder through a pipeline. Eight modal broadband sensors are arranged on the prefabricated gas cylinder. The prefabricated gas cylinder is subjected to graded pressurization by the water pressure pump. In this process, the modal broadband sensor array is used to obtain the modal characteristic samples of the damage acoustic emission signal of the prefabricated defect area of ​​the prefabricated gas cylinder; S20: Replace the prefabricated gas cylinder with the gas cylinder to be tested, preliminarily determine the position of each defect in the gas cylinder to be tested by ultrasonic CT scanning, determine the arrangement position of the modal broadband sensor in the gas cylinder to be tested based on the requirement that each defect is located in the central area of ​​the triangular array of the modal broadband sensor, and perform graded pressurization on the gas cylinder to be tested. In this process, predict the interference index between each defect according to the continuous signal of damage acoustic emission in the defect area collected by each modal broadband sensor, and screen and process the continuous signal of damage acoustic emission in the defect area collected by each modal broadband sensor according to the prediction result; S30: Based on the screening and processing results of the continuous damage acoustic emission signals of the defective areas collected by the common modal broadband sensors in S20, the modal feature samples of the damage acoustic emission signals of the defective areas in the gas cylinder to be tested are determined, and based on the determination results, the defect degree of each defect in the gas cylinder to be tested is predicted; S40: Rating the damage status of the gas cylinder to be tested.

2. The defect area data acquisition and analysis method of the acoustic emission sensor array according to claim 1 is characterized in that: The S10 further includes: S101: There are three defects on the prefabricated gas cylinder, which are located at the head, the middle of the cylinder and the transition zone between the head and the cylinder in the axial direction of the prefabricated gas cylinder. The head and the transition zone between the head and the cylinder are distributed on the heads on both sides in the radial direction of the prefabricated gas cylinder. S102: The distribution of the eight modal broadband sensors arranged on the prefabricated gas cylinder is as follows: one modal broadband sensor is arranged at each of the upper and lower heads of the prefabricated gas cylinder, and three modal broadband sensors are arranged at the upper and lower transition sections of the prefabricated gas cylinder respectively. The three modal broadband sensors arranged at the upper and lower transition sections are arranged in a staggered manner, and each prefabricated defect is located in the central area of ​​the modal broadband sensor array; S103: The modal feature sample of the acoustic emission signal of the prefabricated defect area damage of the prefabricated gas cylinder includes the total number of acoustic emission events that occur before reaching 80% of the previous maximum load during repeated loading in multiple pressure cycles, the ringing count, the amplitude, the duration, the constant load acoustic emission duration and the Felicity ratio.

3. The defect area data acquisition and analysis method of the acoustic emission sensor array according to claim 2 is characterized in that: The specific method of S20 predicting the interference index between defects is: Ⅰ. Construct a three-dimensional model of the gas cylinder to be tested, randomly select a point in the three-dimensional model as the coordinate origin to construct a three-dimensional space coordinate system, use ultrasonic CT scanning to determine the position of each defect in the gas cylinder to be tested, and determine the arrangement position of the modal broadband sensor in the gas cylinder to be tested based on the modal broadband sensor arrangement requirement that each defect is located in the central area of ​​the modal broadband sensor triangular array. Based on the determination result, when the gas cylinder to be tested is subjected to graded pressurization by a hydraulic pump, the continuous signal of the damage acoustic emission of the defect area collected in real time by each modal broadband sensor is obtained; The triangular arrays of modal broadband sensors arranged in the gas cylinder to be tested are numbered, and the numbering result is: i=1, 2, ..., m; m represents the total number of triangular arrays of modal broadband sensors arranged in the gas cylinder to be tested; Ⅱ. Randomly select two modal broadband sensor triangular arrays, and record that the two selected modal broadband sensor triangular arrays are numbered i and j, j = 1, 2, ..., m and j ≠ i. If there is a common modal broadband sensor in the two selected modal broadband sensor triangular arrays, and the number of the common modal broadband sensor in the modal broadband sensor triangular array is 1, then according to the constructed prediction model, the interference index between the defect located in the central area of ​​the modal broadband sensor triangular array numbered i and the defect located in the central area of ​​the modal broadband sensor triangular array numbered j is predicted at a delay of γ. The specific prediction model is: Among them, t represents the time value, f i1 (t) represents the first modal broadband sensor in the triangular array of modal broadband sensors numbered i at [t i1 ,t] is the continuous signal of the damage acoustic emission of the defect area collected in the time period, i′ represents the number of the defect located in the central area of ​​the triangular array of the modal broadband sensor numbered i, j′ represents the number of the defect located in the central area of ​​the triangular array of the modal broadband sensor numbered j, t0 represents the initial time of the modal broadband sensor collecting the voltage signal, γ represents the time difference, if If A>1, then like If A≤1, then min represents the minimum value symbol, W i2i3 , W j2j3 Respectively represent the correlation index between the continuous damage acoustic emission signals of the defect area collected by the second modal broadband sensor and the third modal broadband sensor in the triangular array of modal broadband sensors numbered i and j in the time period [t0, t]; III. If R i′j′ (γ)>0.4, the continuous signal of the damage acoustic emission of the defect area collected by the common mode broadband sensor in the time period [t0, t] is eliminated. i′j′ (γ)≤0.4, the continuous signal of damage acoustic emission of the defect area collected by the common mode broadband sensor in the time period [t0, t] is retained; IV. Determine the numbers of other adjacent modal broadband sensor triangular arrays of the modal broadband sensor triangular array numbered i based on the shared modal broadband sensor. Repeat operations I to III based on the determination result, and screen and process the continuous damage acoustic emission signals of the defective area collected by the shared modal broadband sensor in the time period [t0, t] again; The damage acoustic emission signal obtained after the final screening process is the damage acoustic emission signal of the defect area located in the central area of ​​the triangular array of the modal broadband sensor numbered i.

4. The defect area data acquisition and analysis method of the acoustic emission sensor array according to claim 3 is characterized in that: The S30 includes: S301: using the acoustic emission monitoring system to process the screening processing results of the damage acoustic emission continuous signals of the defective area collected by each common modal broadband sensor, and output the waveform of the damage acoustic emission signal of the defective area located in the central area of ​​the modal broadband sensor triangular array where each common modal broadband sensor is located, and based on the output waveform and the method for determining the modal characteristic samples of the damage acoustic emission signal of the prefabricated defective area of ​​the prefabricated gas cylinder, determine the modal characteristic samples of the damage acoustic emission signal of each defective area in the gas cylinder to be tested; S302: According to The damage degree of the defect area numbered i′ at time t is predicted, where p = 1, 2, 3, representing the number of each modal broadband sensor in the triangular array of modal broadband sensors, e represents a constant and e>1, s ipt h represents the total number of acoustic emission events occurring in the pth modal broadband sensor in the triangular array of modal broadband sensors numbered i within the time period [t0, t], h ipt 、c ipt They represent the amplitude and duration of the pth modal broadband sensor in the triangular array of modal broadband sensors numbered i in the time period [t0, t], respectively. ipt ,y ipt They represent the Felicity ratio and the constant load acoustic emission duration corresponding to the most recent pressurization of the p-th modal broadband sensor in the triangular array of modal broadband sensors numbered i within the time period [t0, t], N ipt N′ represents the total number of cumulative ringings corresponding to the pth modal broadband sensor in the triangular array of modal broadband sensors numbered i at time t. ipt It represents the total number of cumulative ringings corresponding to the p-th modal broadband sensor in the triangular array of modal broadband sensors numbered i in the time period [t0, t].

5. The defect area data acquisition and analysis method of the acoustic emission sensor array according to claim 4 is characterized in that: The specific method of S40 for rating the damage status of the gas cylinder to be tested is: According to the modal feature samples of the damage acoustic emission signals of the prefabricated defect areas of the prefabricated gas cylinders obtained in S10, the duration corresponding to each prefabricated defect is collected, and the collected duration corresponding to each prefabricated defect and the defect volume corresponding to each prefabricated defect are used as training sets to train a linear model to obtain a relationship model U between the duration corresponding to the prefabricated defect and the defect volume corresponding to the prefabricated defect; according to The damage state assessment index of the gas cylinder to be tested is predicted, where V represents the volume of the inner liner and outer shell of the gas cylinder to be tested after fiber winding treatment. represents the defect volume corresponding to the defect in the central area of ​​the triangular array of the modal broadband sensor numbered i in the time period [t0, t], If 0≤Q<0.3, it means that the gas cylinder to be tested is first-level damaged; If 0.3≤Q<0.6, it means that the gas cylinder to be tested is damaged at level 2; If 0.6≤Q≤1, it means that the gas cylinder to be tested has suffered third-level damage.

6. A defect area data acquisition and analysis system for an acoustic emission sensor array applied to the defect area data acquisition and analysis method for an acoustic emission sensor array according to any one of claims 1 to 5, characterized in that: The system includes a modal feature sample acquisition module, an interference index prediction module, a defect damage degree prediction module and a damage rating module; The modal feature sample acquisition module is used to acquire modal feature samples of damage acoustic emission signals of prefabricated defect areas of prefabricated gas cylinders using a modal broadband sensor array; The interference index prediction module is used to predict the interference index between each defect, and according to the prediction result, screen and process the continuous damage acoustic emission signal of the defect area collected by each modal broadband sensor; The defect damage degree prediction module is used to predict the defect degree of each defect in the gas cylinder to be tested; The damage rating module is used to rate the damage status of the gas cylinder to be tested.

7. The defect area data acquisition and analysis system of the acoustic emission sensor array according to claim 6, characterized in that: The modal feature sample acquisition module electrically connects the pressure transmitter and the acoustic emission monitoring system to the modal broadband sensor arranged on the prefabricated gas cylinder, respectively, and connects the water pressure pump to the bottle mouth of the prefabricated gas cylinder through a pipeline. Eight modal broadband sensors are arranged on the prefabricated gas cylinder. The prefabricated gas cylinder is subjected to graded pressurization treatment by the water pressure pump. In this process, the modal feature samples of the damage acoustic emission signal of the prefabricated defect area of ​​the prefabricated gas cylinder are acquired by using the modal broadband sensor array.

8. The defect area data acquisition and analysis system of the acoustic emission sensor array according to claim 7, characterized in that: The interference index prediction module includes a damage acoustic emission continuous signal acquisition unit, a common mode broadband sensor search unit, an interference index prediction unit and a screening and retention unit; The damage acoustic emission continuous signal acquisition unit determines the position of each defect in the gas cylinder to be tested by ultrasonic CT scanning, and determines the arrangement position of the modal broadband sensor in the gas cylinder to be tested based on the modal broadband sensor arrangement requirement that each defect is located in the central area of ​​the modal broadband sensor triangular array. Based on the determination result, and when the gas cylinder to be tested is subjected to graded pressurization by a hydraulic pump, the damage acoustic emission continuous signal of the defect area collected in real time by each modal broadband sensor is acquired; The common modal broadband sensor searching unit searches for the common modal broadband sensor in two randomly selected modal broadband sensor triangle arrays; The interference index prediction unit predicts the interference index between defects in the central area of ​​the triangular array of two modal broadband sensors having a common modal broadband sensor according to the constructed prediction model; The screening and retention unit selects whether to remove the continuous damage acoustic emission signals of the defective area collected by the common modal broadband sensor within a period of time according to the prediction result of the interference index prediction unit, and determines the damage acoustic emission signals of the defective area in the central area of ​​the triangular array where the common modal broadband sensor is located based on the final removal result.

9. The defect area data acquisition and analysis system of the acoustic emission sensor array according to claim 8, characterized in that: The defect degree prediction module includes a modal feature sample determination unit and a defect area damage degree prediction unit; The modal feature sample determination unit processes the screening processing results of the damage acoustic emission continuous signals of the defective area collected by each common modal broadband sensor using the acoustic emission monitoring system, and outputs the waveform of the damage acoustic emission signal of the defective area located in the central area of ​​the modal broadband sensor triangular array where each common modal broadband sensor is located, and based on the output waveform and the method for determining the modal feature samples of the damage acoustic emission signal of the prefabricated defective area of ​​the prefabricated gas cylinder, the modal feature samples of the damage acoustic emission signal of each defective area in the gas cylinder to be tested are determined; The defect area damage degree prediction unit predicts the real-time damage degree of each defect in the gas cylinder to be tested according to the constructed prediction formula.

10. The defect area data acquisition and analysis system of the acoustic emission sensor array according to claim 9, characterized in that: The damage rating module includes a relationship model training unit, a damage status assessment index prediction unit and a rating processing unit; The relationship model training unit collects the duration corresponding to each prefabricated defect according to the modal feature samples of the damage acoustic emission signal of the prefabricated defect area of ​​the prefabricated gas cylinder, uses the collected duration corresponding to each prefabricated defect and the defect volume corresponding to each prefabricated defect as a training set, trains the linear model, and obtains a relationship model between the duration corresponding to the prefabricated defect and the defect volume corresponding to the prefabricated defect; The damage state assessment index prediction unit predicts the damage state assessment index of the gas cylinder to be tested according to the trained relationship model and the damage degree of each defect area predicted by the defect area damage degree prediction unit; The rating processing unit compares the prediction result of the damage status assessment index prediction unit with the rating threshold, and determines the damage rating of the gas cylinder to be tested according to the comparison result.

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