Defect area data acquisition and analysis system and method of acoustic emission sensor array

Abstract

The invention discloses a defect area data acquisition and analysis system and method of an acoustic emission sensor array, and relates to the technical field of data acquisition and analys.The method comprises the steps that S10, a modal broadband sensor array is used for obtaining a prefabricated defect area damage acoustic emission signal modal characteristic sample of a prefabricated gas cylinder; s20, predicting interference indexes among the defects, and screening damage acoustic emission continuous signals, collected by the broadband sensors in all modes, of the defect areas; s30, predicting the defect degree of each defect in the gas cylinder to be detected; and S40, grading the damage state of the gas cylinder to be detected. According to the method, the damage acoustic emission continuous signals collected by the common mode broadband sensor are screened based on the interference indexes, so that mutual interference of acoustic emission signals of different defect areas caused by propagation of different sound sources is eliminated, and it is guaranteed that the defect conditions of the corresponding defect areas can be effectively reflected through the finally obtained characteristic parameters.

Description

Technical Field

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

[0002] The plastic liner fiber fully wrapped gas cylinder is a new type of gas cylinder with excellent properties such as high strength, light weight and corrosion resistance. It is mainly composed of liner, shell, fiber and adhesive. The liner is the main body that carries the gas, and the shell plays a role of protection and support. The fiber wrapped around the shell and the adhesive that fixes the fiber are used to enhance the strength and stability of the gas cylinder, ensuring that the gas cylinder can withstand higher pressure and weight.

[0003] In the prior art, when analyzing defects in gas cylinders through data collected by an acoustic emission sensor array, due to mutual interference between damage acoustic emission signals generated by the gas cylinders under pressurization, characteristic parameters obtained through the damage acoustic emission signals have certain errors, thereby reducing the analysis accuracy. At the same time, the prior art does not take into account the interference between the acoustic emission signal propagation paths when arranging the positions of the acoustic emission sensors, and the prior art has low analysis accuracy when analyzing the degree of damage to the gas cylinders. Summary of the invention

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

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

[0006] 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;

[0007] 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;

[0008] 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;

[0009] S40: Rating the damage status of the gas cylinder to be tested.

[0010] Furthermore, the S10 further includes:

[0011] 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.

[0012] 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;

[0013] 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.

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

[0015] 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;

[0016] 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;

[0017] 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:

[0018]

[0019]

[0020] 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 in min represents the minimum value symbol, W i2i3 , W j2j3Respectively 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];

[0021] 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;

[0022] 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;

[0023] 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. This process can effectively eliminate the aliasing signals existing in the collected damage acoustic emission signals, which is conducive to the effective analysis of the defect conditions of each defect.

[0024] Further, the S30 includes:

[0025] 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;

[0026] 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 iptThey 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].

[0027] Furthermore, the specific method of performing rating processing on the damage status of the gas cylinder to be tested in S40 is:

[0028] 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;

[0029] 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 duration of the defect located in the center area of ​​the triangular array of the modal broadband sensor numbered i in the time period [t0, t],

[0030]

[0031] If 0≤Q<0.3, it means that the gas cylinder to be tested is first-level damaged;

[0032] If 0.3≤Q<0.6, it means that the gas cylinder to be tested is damaged at level 2;

[0033] If 0.6≤Q≤1, it means that the gas cylinder to be tested has suffered third-level damage.

[0034] A defect area data acquisition and analysis system for an acoustic emission sensor array, the system comprising a modal feature sample acquisition module, an interference index prediction module, a defect damage degree prediction module, and a damage rating module;

[0035] 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;

[0036] 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;

[0037] The defect damage degree prediction module is used to predict the defect degree of each defect in the gas cylinder to be tested;

[0038] The damage rating module is used to rate the damage status of the gas cylinder to be tested.

[0039] 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.

[0040] 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;

[0041] The damage acoustic emission continuous signal acquisition unit uses ultrasonic CT scanning to determine the position of each defect in the gas cylinder to be tested, and based on the modal broadband sensor arrangement requirement that each defect is located in the central area of ​​the modal broadband sensor triangular array, determines the arrangement position of the modal broadband sensor in the gas cylinder to be tested, and based on the determination result, when the gas cylinder to be tested is subjected to graded pressurization by a hydraulic pump, acquires the damage acoustic emission continuous signal of the defect area collected in real time by each modal broadband sensor;

[0042] The common modal broadband sensor searching unit searches for the common modal broadband sensor in two randomly selected modal broadband sensor triangle arrays;

[0043] 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;

[0044] 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.

[0045] Furthermore, the defect degree prediction module includes a modal feature sample determination unit and a defect area damage degree prediction unit;

[0046] 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;

[0047] 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.

[0048] Further, the damage rating module includes a relationship model training unit, a damage status assessment index prediction unit and a rating processing unit;

[0049] 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;

[0050] 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;

[0051] 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.

[0052] Compared with the prior art, the present invention has the following beneficial effects:

[0053] 1. The present invention obtains modal characteristic samples of the damage acoustic emission signals of each prefabricated defect through the prefabricated defects, and when determining the positions of the modal broadband sensor and the prefabricated defects in the prefabricated gas cylinder, each prefabricated defect is placed in the central area of ​​the triangular array of the modal broadband sensor, and there is a certain distance and angle interval between each prefabricated defect, which can minimize the mutual interference of acoustic emission signals in different defect areas caused by sound source propagation on the basis of satisfying the defect samples, and ensure that the modal characteristic samples of the damage acoustic emission signals of the prefabricated defect areas of the prefabricated gas cylinders obtained are more representative.

[0054] 2. The present invention predicts the interference index between 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 acoustic emission signals in different defect areas caused by the propagation of different sound sources, ensuring that the characteristic parameters obtained by the screened continuous damage acoustic emission signals can effectively reflect the defect conditions of the corresponding defect areas, further improving the accuracy of defect analysis of the defect areas.

[0055] 3. The present invention predicts the damage degree of defects in the triangular array of modal broadband sensors through the modal feature samples corresponding to the damaged acoustic emission signals after screening and processing corresponding to each modal broadband sensor in the triangular array of modal broadband sensors, and in the process of determining the damage rating of the gas cylinder, takes into account the relationship between the defect volume and the duration of the damaged acoustic emission signal, thereby ensuring that the determined damage rating can better reflect the actual damage situation of the gas cylinder to be tested, thereby improving the system's analysis effect on the defect area data. BRIEF DESCRIPTION OF THE DRAWINGS

[0056] Figure 1 It is a schematic diagram of the workflow of the defect area data acquisition and analysis system and method of the acoustic emission sensor array of the present invention;

[0057] Figure 2 It is a schematic diagram of the working principle structure of the defect area data acquisition and analysis system and method of the acoustic emission sensor array of the present invention;

[0058] Figure 3 A schematic diagram of the cross-sectional structure of a gas cylinder of the defect area data acquisition and analysis system and method of the acoustic emission sensor array of the present invention. DETAILED DESCRIPTION

[0059] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0060] Example: Figure 1 , Figure 2 and Figure 3 As shown, the present invention provides a defect area data acquisition and analysis system and method technical solution of an acoustic emission sensor array, and a defect area data acquisition and analysis method of an acoustic emission sensor array, the method comprising:

[0061] S10: The pressure transmitter and the acoustic emission monitoring system are electrically connected to the modal broadband sensor arranged on the prefabricated gas cylinder. The model of the modal broadband sensor is PKBBI, which is used to receive the elastic wave generated by the defect and generate a matching voltage signal according to the received elastic wave. 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 signal after the modal broadband sensor amplifies and processes, and performs A / D conversion on the collected voltage signal to obtain a matching digital signal. The prefabricated gas cylinder refers to a plastic liner fiber fully wrapped gas cylinder with prefabricated defects. The main function of the pressure transmitter is to convert the pressure signal into an electrical signal. Signal, connect the hydraulic 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 graded pressurization by the hydraulic pump. In this process, the modal broadband sensor array (modal broadband sensor array refers to 8 modal broadband sensors arranged in an array form) is used to obtain the modal feature samples of the damage acoustic emission signal of the prefabricated defect area of ​​the prefabricated gas cylinder, and the defects are prefabricated at different positions and depths of the gas cylinder by means of fiber cutting during the winding process, layered foreign body implantation, etc. The fiber breakage defect is formed by artificially cutting the tow at different positions and areas during the winding process of the gas cylinder at the same circumferential angle to form local fiber breakage;

[0062] The S10 also includes:

[0063] 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 and the transition zone between the head and the 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, the three defects have a certain distance and angle interval, which can minimize the mutual interference of acoustic emission signals in different defective areas caused by sound source propagation on the basis of meeting the defect sample, and ensure that the modal characteristic samples of the damage acoustic emission signals of the prefabricated defective areas of the prefabricated gas cylinder are more representative, and at the same time, it is convenient for the arrangement of the modal broadband sensor array. Each defect is located in the central area of ​​the triangular array of the modal broadband sensor;

[0064] 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;

[0065] S103: The modal characteristic samples of the acoustic emission signal of the prefabricated defect area damage of the prefabricated gas cylinder include the total number of acoustic emission events that occur before reaching 80% of the previous maximum load during repeated loading in multiple pressure cycles (a rectangular pulse is formed when the signal waveform exceeds the preset threshold voltage and maintains for a certain period of time, and each rectangular pulse corresponds to an acoustic emission event), ring count (the number of oscillations that cross the threshold, and the threshold refers to the preset threshold voltage), amplitude (the maximum amplitude value of the signal waveform), duration (the time interval from the acoustic emission signal pulse crossing the threshold for the first time to finally falling to the threshold), constant load acoustic emission duration and Felicity ratio, Felicity ratio is an indicator used to describe the irreversibility of the material acoustic emission process, Felicity ratio = stress level when effective acoustic emission is restored during the i+1th loading process / highest stress level in the previous period (effective acoustic emission refers to the phenomenon that stress concentration in a local area of ​​the material quickly releases energy and generates transient elastic waves), and constant load acoustic emission duration refers to the duration of the acoustic emission phenomenon under constant load conditions;

[0066] S20: Replace the prefabricated gas cylinder with the gas cylinder to be tested, and preliminarily determine the position of each defect in the gas cylinder to be tested by ultrasonic CT scanning. Based on the arrangement requirement of the modal broadband sensor that each defect is located in the central area of ​​the triangular array of the modal broadband sensor, determine the arrangement position of the modal broadband sensor in the gas cylinder to be tested, and perform graded pressurization treatment on the gas cylinder to be tested (graded pressurization treatment includes pressure boosting treatment, pressure holding treatment and 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 of the previous pressure boosting before the next pressure boosting. The pressure value of the next pressure boosting - the pressure value of the previous pressure boosting = the single pressure boosting standard value). In this process, according to the continuous damage acoustic emission signals of the defective area collected by each modal broadband sensor, the interference index between the defects is predicted, and according to the prediction results, the continuous damage acoustic emission signals of the defective area collected by each modal broadband sensor are screened and processed;

[0067] The specific method for S20 to predict the interference index between defects is:

[0068] 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;

[0069] 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;

[0070] 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 shared modal broadband sensor in the two selected modal broadband sensor triangular arrays (the shared modal broadband sensor refers to the modal broadband sensor existing in both modal broadband sensor triangular arrays), assuming that the shared modal broadband sensor is numbered 1 in the modal broadband sensor triangular array, 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:

[0071]

[0072] 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] The continuous signal of the damage acoustic emission of the defect area collected during the time period, f i2 (t) represents the second modal broadband sensor in the triangular array of modal broadband sensors numbered i at [t i2 ,t] The continuous signal of the damage acoustic emission of the defect area collected during the time period, f i3 (t) represents the continuous signal of the damage acoustic emission of the defect area collected by the third modal broadband sensor in the triangular array of modal broadband sensors numbered i in the time period [t0, t], i′ represents the number corresponding to the defect located in the central area of ​​the triangular array of modal broadband sensors numbered i, j′ represents the number corresponding to the defect located in the central area 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 If A>1, then like If A≤1 in 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];

[0073] III. If Ri′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;

[0074] 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 pair (if there is a shared modal broadband sensor in the 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, and screen and process the continuous damage acoustic emission signals of the defect area collected by the shared modal broadband sensor in the time period [t0, t] again;

[0075] 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. There are three damage acoustic emission signals in each defect area because there are three modal broadband sensors in the array where each defect area is located.

[0076] 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;

[0077] S30 includes:

[0078] 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, 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, the modal characteristic samples of the damage acoustic emission signal of each defective area in the gas cylinder to be tested are determined, and each defective area in the gas cylinder to be tested has three modal characteristic samples of the damage acoustic emission signal;

[0079] 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 ipth 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 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];

[0080] S40: Rating the damage status of the gas cylinder to be tested. The specific method is as follows:

[0081] 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;

[0082] 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 duration of the defect located in the center area of ​​the triangular array of the modal broadband sensor numbered i in the time period [t0, t],

[0083]

[0084] If 0≤Q<0.3, it means that the gas cylinder to be tested is first-level damaged;

[0085] If 0.3≤Q<0.6, it means that the gas cylinder to be tested is damaged at level 2;

[0086] If 0.6≤Q≤1, it means that the gas cylinder to be tested has suffered third-level damage.

[0087] The defect area data acquisition and analysis system of the acoustic emission sensor array includes a modal feature sample acquisition module, an interference index prediction module, a defect damage degree prediction module and a damage rating module;

[0088] 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;

[0089] 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, and connects the water pressure pump to the 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 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;

[0090] The interference index prediction module is used to predict the interference index between each defect, and based on the prediction results, screen and process the continuous damage acoustic emission signals of the defect area collected by each modal broadband sensor;

[0091] 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;

[0092] The damage acoustic emission continuous signal acquisition unit uses ultrasonic CT scanning to determine the position of each defect in the gas cylinder to be tested, and based on the modal broadband sensor arrangement requirement that each defect is located in the central area of ​​the modal broadband sensor triangular array, the arrangement position of the modal broadband sensor in the gas cylinder to be tested is determined. 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;

[0093] The common modal broadband sensor searching unit searches for the common modal broadband sensor in two randomly selected modal broadband sensor triangle arrays;

[0094] 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;

[0095] The screening and retaining unit selects whether to remove the continuous damage acoustic emission signals of the defective area collected by the common mode 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 mode broadband sensor is located based on the final removal result;

[0096] The defect damage degree prediction module is used to predict the degree of each defect in the gas cylinder to be tested;

[0097] The defect degree prediction module includes a modal feature sample determination unit and a defect area damage degree prediction unit;

[0098] 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;

[0099] 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;

[0100] The damage rating module is used to rate the damage status of the gas cylinder to be tested;

[0101] The damage rating module includes a relational model training unit, a damage status assessment index prediction unit, and a rating processing unit;

[0102] 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;

[0103] 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;

[0104] 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.

[0105] It will be apparent to those skilled in the art that the invention is not limited to the details of the exemplary embodiments described above and that the invention can be implemented in other specific forms without departing from the spirit or essential features of the invention. Therefore, the embodiments should be considered exemplary and non-limiting in all respects, and the scope of the invention is defined by the appended claims rather than the foregoing description, and it is intended that all variations falling within the meaning and scope of the equivalent elements of the claims be included in the invention. Any reference numeral in a claim should not be considered as limiting the claim to which it relates.

Claims

1. Data collection and analysis method of defect area of ​​acoustic emission sensor array, Features: 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, Features: 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, Features: 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 during the time period, i′ represents the number of the defect located in the center area of ​​the triangular array of the modal broadband sensor numbered i, j′ represents the number of the defect located in the center area of ​​the triangular array of the modal broadband sensor numbered j, t 0 represents the initial time when the modal broadband sensor collects 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 They represent the second and third modal broadband sensors in the triangular array of modal broadband sensors numbered i and j at [t 0 ,t] the correlation index between the continuous damage acoustic emission signals of the defect area collected within the time period; III. If R i′j′ (γ)>0.4, then the common mode broadband sensor is set at [t 0 ,t] the continuous damage acoustic emission signals of the defective area collected within the time period are eliminated. i′j′ (γ)≤>0.4, then the common mode broadband sensor is set at [t 0 ,t] The continuous damage acoustic emission signals of the defect area collected within the time period are 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 pair. Repeat the operations of I to III based on the determination result to determine the numbers of other adjacent modal broadband sensor triangular arrays of the modal broadband sensor triangular array numbered i. 0 ,t] The continuous damage acoustic emission signals of the defective area collected within the time period are screened and processed 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, Features: 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 Indicates that the pth modal broadband sensor in the triangular array of modal broadband sensors numbered i is in [t 0 ,t] The total number of acoustic emission events that occurred during the time period, h ipt 、c ipt They represent the pth modal broadband sensor in the triangular array of modal broadband sensors numbered i at [t 0 ,t] time period corresponding to the amplitude and duration, F ipt ,y ipt They represent the pth modal broadband sensor in the triangular array of modal broadband sensors numbered i at [t 0 Felicity ratio and constant load acoustic emission duration corresponding to the most recent pressurization within the time period 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 Indicates that the pth modal broadband sensor in the triangular array of modal broadband sensors numbered i is in [t 0 ,t] The total number of accumulated ringings corresponding to the time period.

5. The defect area data acquisition and analysis method of the acoustic emission sensor array according to claim 4, Features: 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. Indicates that the defect located in the center area of ​​the triangular array of the modal broadband sensor numbered i is in [t 0 ,t] time period corresponding to the duration, 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 system for collecting and analyzing defective area data of an acoustic emission sensor array applied to the method for collecting and analyzing defective area data of an acoustic emission sensor array according to any one of claims 1 to 5, Features: 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, Features: 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, Features: 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 uses ultrasonic CT scanning to determine the position of each defect in the gas cylinder to be tested, and based on the modal broadband sensor arrangement requirement that each defect is located in the central area of ​​the modal broadband sensor triangular array, determines the arrangement position of the modal broadband sensor in the gas cylinder to be tested, and based on the determination result, when the gas cylinder to be tested is subjected to graded pressurization by a hydraulic pump, acquires the damage acoustic emission continuous signal of the defect area collected in real time by each modal broadband sensor; 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, Features: 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, Features: 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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