Flame arrester detection method and system

Abstract

An embodiment of the present invention provides a method for detecting a flame arrester, belonging to the technical field of flame arresters. The flame arrester is installed in a pipeline for conveying fuel gas, and the method for detecting the flame arrester includes: obtaining, in real time through an acoustic emission sensor, an acoustic emission signal for the operating flame arrester, wherein the acoustic emission sensor is adapted to be installed on the flame arrester; extracting current signal features of the acoustically emitted signal obtained in real time, and determining that the flame arrester is operating abnormally when the current signal features are different from the normal signal features pre-stored indicating normal operation of the flame arrester; and when it is determined that the flame arrester is operating abnormally, locating an abnormal position of the corresponding flame arrester according to the current signal features. An embodiment of the present invention also provides a flame arrester detection system. The embodiment of the present invention applies acoustic emission technology to the technical field of flame arresters, realizing online non-destructive detection of in-service flame arresters.

Description

Technical Field

[0001] The present invention relates to the technical field of flame arresters, and particularly to a method and system for detecting a flame arrester. Background Art

[0002] At present, flame arresters have been widely used in fields such as chemical plants and refinery tank farms. The application of flame arresters is an effective safety protection measure to prevent and mitigate the occurrence and spread of fire and explosion accidents, and is also one of the important safety measures in petrochemical enterprises. However, during the application of flame arresters, due to problems such as a large amount of gas impurities in the use environment and untimely cleaning, they may become blocked, resulting in a deterioration of the flame arrest effect. Through on-site research and communication with domestic and foreign imported flame arrester manufacturers and some chemical enterprises about the management of flame arresters, it is found that in-service flame arresters lack on-line detection of whether they are effective during their use as an important basis for replacing in-service flame arresters. Summary of the Invention

[0003] An object of an embodiment of the present invention is to provide a method for detecting a flame arrester, which can realize on-line non-destructive detection of an in-service flame arrester.

[0004] To achieve the above object, an embodiment of the present invention provides a method for detecting a firearm, the flame arrester being installed in a pipeline for transporting fuel gas. The method for detecting the flame arrester includes: obtaining, in real time through an acoustic emission sensor, an acoustic emission signal for the operating flame arrester, where the acoustic emission sensor is adapted to be installed on the flame arrester; extracting current signal features of the acoustically emitted signal obtained in real time, and determining that the flame arrester is operating abnormally when the current signal features are different from normal signal features pre-stored showing normal operation of the flame arrester; and when it is determined that the flame arrester is operating abnormally, locating an abnormal position of the corresponding flame arrester according to the current signal features.

[0005] Preferably, before obtaining, in real time through the acoustic emission sensor, the acoustic emission signal for the operating flame arrester, the method for detecting the flame arrester further includes: inspecting the flame arrester to obtain a corresponding inspection result; measuring background noise of the flame arrester; and determining an installation position of the acoustic emission sensor on the flame arrester according to the inspection result and the background noise.

[0006] Preferably, the method for detecting the flame arrester further includes pre-storing the normal signal features, including: when the flame arrester is operating normally, obtaining, through the acoustic emission sensor, a normal acoustic emission signal for the normally operating flame arrester; and extracting and pre-storing signal features of the normal acoustic emission signal as the normal signal features.

[0007] Preferably, the flame arrester detection method further includes: detecting a current pressure drop value between a first pressure tapping point on the pipeline at the front end of the flame arrester and a second pressure tapping point on the pipeline at the rear end; and obtaining an abnormal condition of the flame arrester based on a comparison result between the current pressure drop value and a normal pressure drop value pre-stored and showing the normal pressure drop value between the corresponding two pressure tapping points when the flame arrester operates normally.

[0008] Preferably, the flame arrester detection method further includes pre-storing the normal pressure drop value, including: when the flame arrester operates normally, detecting and pre-storing the pressure drop value between the corresponding two pressure tapping points as the normal pressure drop value.

[0009] Preferably, detecting the current pressure drop value between the first pressure tapping point on the pipeline at the front end of the flame arrester and the second pressure tapping point on the pipeline at the rear end includes: respectively determining the first pressure tapping point and the second pressure tapping point on the pipelines at the front and rear ends of the flame arrester so that the two pressure tapping points are separated by a preset distance; and detecting the pressure drop value between the two pressure tapping points by a differential pressure transmitter.

[0010] Preferably, respectively determining the first pressure tapping point and the second pressure tapping point on the pipelines at the front and rear ends of the flame arrester includes: making the distance of the first pressure tapping point relative to the front end of the flame arrester less than the distance of the second pressure tapping point relative to the rear end of the flame arrester.

[0011] An embodiment of the present invention further provides a flame arrester detection system. The flame arrester is installed in a pipeline for conveying fuel gas. The flame arrester detection system includes: an acoustic emission sensor adapted to be installed on the flame arrester for real-time acquisition of an acoustic emission signal of the operating flame arrester. A data acquisition and analysis system electrically connected to the acoustic emission sensor and configured to: obtain the acoustic emission signal from the acoustic emission sensor; extract a current signal feature of the acoustic emission signal, and determine that the flame arrester operates abnormally when the current signal feature is different from a normal signal feature pre-stored and showing the normal operation of the flame arrester; and when determining that the flame arrester operates abnormally, locate an abnormal position of the corresponding flame arrester according to the current signal feature of the acoustic emission signal.

[0012] Preferably, the data acquisition and analysis system includes: an extraction module for extracting a signal feature of the acoustic emission signal; a first comparison module for comparing the current signal feature with the normal signal feature; and a first processing module for determining that the flame arrester operates abnormally when the current signal feature is different from the normal signal feature pre-stored and showing the normal operation of the flame arrester, and when determining that the flame arrester operates abnormally, locating an abnormal position of the flame arrester according to the current signal feature of the acoustic emission signal.

[0013] Preferably, the flame arrester detection system further includes: a signal amplifier, which is electrically connected between the acoustic emission sensor and the data acquisition and analysis system, and is used to convert the acoustic emission signal monitored by the acoustic emission sensor into a low-impedance signal and then transmit it to the data acquisition and analysis system.

[0014] Preferably, the flame arrester detection system further includes: a differential pressure transmitter, which is adapted to be installed on the flame arrester and electrically connected to the data acquisition and analysis system, and is used to detect the current pressure drop value between a first pressure tapping point on the pipeline at the front end of the flame arrester and a second pressure tapping point on the pipeline at the rear end; and based on the comparison result between the current pressure drop value and the normal pressure drop value pre-stored showing the normal pressure drop value between the corresponding two pressure tapping points when the flame arrester operates normally, the abnormal situation of the flame arrester is obtained.

[0015] Preferably, the data acquisition and analysis system includes: a second comparison module, which is used to compare the current pressure drop value with the normal pressure drop value pre-stored showing the normal operation of the flame arrester; and a second processing module, which is used to obtain the abnormal situation of the flame arrester based on the comparison result.

[0016] Through the above technical solution, the acoustic emission technology is applied to the field of flame arrester technology, realizing the online non-destructive detection of in-service flame arresters, and the detection result can be used as an important basis for whether the in-service flame arrester is effective during its use.

[0017] Other features and advantages of the embodiments of the present invention will be described in detail in the subsequent specific implementation part. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] The drawings are used to provide a further understanding of the embodiments of the present invention, and constitute a part of the specification, and are used to explain the embodiments of the present invention together with the following specific implementation manners, but do not constitute a limitation to the embodiments of the present invention. In the drawings:

[0019] Figure 1 is a schematic installation diagram of a common flame arrester;

[0020] Figure 2 is a schematic flow diagram of the flame arrester detection method provided in Embodiment 1 of the present invention;

[0021] Figure 3 is a schematic flow diagram of the flame arrester detection method provided in Embodiment 2 of the present invention;

[0022] Figure 4 is a schematic structural diagram of the flame arrester detection system provided in Embodiment 3 of the present invention;

[0023] Figure 5 is for Figure 4 a schematic diagram of the composition of the data acquisition and analysis system; and

[0024] Figure 6 It is a schematic diagram of an example of the flame arrester detection method and / or system provided by an embodiment of the present invention.

[0025] Explanation of reference numerals

[0026] 100 Acoustic emission sensor 200 Data acquisition and analysis system

[0027] 300 Signal amplifier 400 Differential pressure transmitter

[0028] 500 Pipeline 600 Flame arrester

[0029] 210 Extraction module 220 First comparison module

[0030] 230 First processing module 240 Second comparison module

[0031] 250 Second processing module 401 First pressure tapping point

[0032] 402 Second pressure tapping point Detailed implementation manners

[0033] The following will describe in detail the specific implementation manners of the embodiments of the present invention with reference to the accompanying drawings. It should be understood that the specific implementation manners described herein are only for explaining and illustrating the embodiments of the present invention, and are not used to limit the embodiments of the present invention.

[0034] Before introducing the solution of the embodiments of the present invention, a brief description of the installation of the flame arrester will be given here. Figure 1 It is a schematic diagram of the installation of a common flame arrester 600. It can be seen that the flame arrester 600 is installed in the pipeline 500 for transporting fuel gas to prevent the propagation of flame through the pipeline 500.

[0035] Embodiment 1

[0036] Figure 2 It is a flowchart of the flame arrester detection method provided by Embodiment 1 of the present invention. As Figure 2 shown, the flame arrester detection method may include the following steps:

[0037] Step S100: Obtain in real time the acoustic emission signal for the operating flame arrester through an acoustic emission sensor, where the acoustic emission sensor is adapted to the installation of the flame arrester.

[0038] During the operation of the flame arrester, elastic waves are usually generated when changes such as crack growth, blockage of the flame arrestor plate, local plastic deformation, corrosion, and phase transformation occur inside the flame arrestor plate. The acoustic emission sensor can acquire these elastic waves in real time and convert them into corresponding acoustic emission signals. The acoustic emission signal is an electrical signal, and preferably, the electrical signal is converted into a low-impedance signal through a signal amplifier and then transmitted.

[0039] Preferably, before the acoustic emission sensor acquires in real time the acoustic emission signal of the operating flame arrester, the flame arrester detection method further includes: inspecting the flame arrester to obtain a corresponding inspection result; measuring the background noise of the flame arrester; and determining the installation position of the acoustic emission sensor on the flame arrester according to the inspection result and the background noise. For example, check whether there are problems such as wear and blockage of the current flame arrester to obtain a corresponding inspection result, then measure the background noise of the flame arrester, and select a position where the flame arrester is prone to abnormalities and the background noise has less influence to install the acoustic emission sensor.

[0040] More preferably, after determining the installation position of the acoustic emission sensor, an acoustic couplant, a fixture, or an adhesive can be used to fix the acoustic emission sensor on the flame arrester to be inspected, and the position where the sensor is installed should be clean and flat to ensure the propagation and repeated acquisition of the acoustic emission signal.

[0041] Step S200: Extract the current signal characteristics of the acoustical emission signal acquired in real time, and determine that the operation of the flame arrester is abnormal when the current signal characteristics are different from the pre-stored normal signal characteristics indicating the normal operation of the flame arrester.

[0042] For example, the signal characteristics of the acoustical emission signal acquired in real time can be the spectral characteristics of the acoustical emission signal.

[0043] Embodiment 1 of the present invention can also pre-store the normal signal characteristics, including: when the flame arrester is operating normally, acquiring the normal acoustic emission signal of the operating flame arrester through the acoustic emission sensor; and extracting and pre-storing the signal characteristics of the normal acoustic emission signal as the normal signal characteristics. Among them, the normal signal characteristics and the current signal characteristics are the same, and can both be, for example, the spectral characteristics of the corresponding acoustic emission signal. It should be noted that in addition to the spectral characteristics, the normal signal characteristics and the current signal characteristics can also be other types of characteristics, and the present invention embodiment does not limit the type of signal characteristics.

[0044] Further, when the current signal feature is different from the pre - stored normal signal feature indicating the normal operation of the flame arrester, it is determined that the flame arrester is operating abnormally. For example, the pre - stored normal signal feature may be a regular frequency spectrum. When the frequency spectrum of the currently extracted signal is different from the normal signal frequency spectrum, such as the amplitude of the frequency spectrum is different or the number of resonance peaks is different, etc., it is determined that the flame arrester is abnormal. It can be understood that when the flame arrester is abnormal, the difference between the current signal feature and the normal signal feature will be relatively large and will always be different from the normal signal feature. Therefore, after determining that the flame arrester is abnormal, the abnormal report can be slightly delayed or the flame arrester can be controlled to stop to avoid the influence of noise.

[0045] Step S300: When it is determined that the flame arrester is operating abnormally, locate the abnormal position of the corresponding flame arrester according to the current signal feature.

[0046] In the first embodiment of the present invention, an abnormal signal feature library can also be established. By comparing the current signal feature with the pre - stored signal features in the abnormal signal feature library, the abnormal position of the flame arrester is located. For example, by collecting or simulating various abnormal signal features of the flame arrester, an abnormal signal feature database is established. When the flame arrester is abnormal, the abnormal position of the flame arrester is obtained through the signal features in the database corresponding to the current abnormal signal feature.

[0047] In summary, the flame arrester detection method provided in the first embodiment of the present invention applies the acoustic emission technology to the technical field of flame arresters, realizes the online non - destructive detection of in - service flame arresters, and the detection result can be used as an important basis for whether the in - service flame arrester is effective during its use.

[0048] Embodiment Two

[0049] Figure 3 is a schematic flow chart of the flame arrester detection method provided in the second embodiment of the present invention. As Figure 3 shown, the preferred flame arrester detection method may further include the following steps:

[0050] Step S410: Detect the current pressure drop value between the first pressure - tapping point on the pipeline in front of the flame arrester and the second pressure - tapping point on the pipeline behind the flame arrester.

[0051] Among them, the pressure - tapping point refers to the position on the flame arrester pipeline that can obtain the air pressure value of the running flame arrester pipeline. It can be understood that the air pressure values at different positions on the flame arrester pipeline are different. Therefore, the first pressure - tapping point and the second pressure - tapping point are set, and the pressure drop value can be obtained through their difference.

[0052] When the flame arrester is working, an acoustic emission signal is obtained through step S100, and at the same time, the current pressure drop value between the first pressure tapping point on the pipeline at the front end of the flame arrester and the second pressure tapping point on the pipeline at the rear end is detected. Preferably, the first pressure tapping point and the second pressure tapping point are respectively determined on the pipelines at the front and rear ends of the flame arrester so that there is a preset distance between the two pressure tapping points; the pressure drop value between the two pressure tapping points is detected by a differential pressure transmitter.

[0053] Preferably, the distance of the first pressure tapping point relative to the front end of the flame arrester can be less than the distance of the second pressure tapping point relative to the rear end of the flame arrester. For example, please refer to Figure 1 , the first pressure tapping point can be the position of the intersection of distance a and distance b on the pipeline at the front end of the flame arrester, and the second pressure tapping point can be the position of the intersection of distance c and distance d on the pipeline at the rear end of the flame arrester, where distance b < distance c.

[0054] More preferably, let distance b = 2xD, then it can be determined that distance a ≥ 10xD, c ≥ 10xD, d = 2xD, where xD represents the distance unit. Through experiments, the differential pressure transmitter is installed strictly in accordance with a ≥ 10xD; b = 2xD; c ≥ 10xD; d = 2xD, so that the obtained pressure drop value can more accurately show the abnormal situation of the flame arrester.

[0055] In other embodiments, the pressure values at the corresponding pressure tapping points can also be monitored by pressure sensors arranged at the two pressure tapping points, and then the corresponding pressure drop value is calculated by a processor (such as a single-chip microcomputer).

[0056] Step S420: Obtain the abnormal situation of the flame arrester through the comparison result between the current pressure drop value and the normal pressure drop value between the corresponding two pressure tapping points showing the normal operation of the flame arrester stored in advance.

[0057] When the flame arrester is abnormal, there will be a large difference between the current pressure drop value and the pre-stored normal pressure drop value, and based on this, the abnormal situation of the flame arrester can be obtained.

[0058] The flame arrester detection method according to the second embodiment of the present invention may further include pre-storing the normal pressure drop value, including: when the flame arrester is working normally, detecting and pre-storing the pressure drop value between the corresponding two pressure tapping points as the normal pressure drop value.

[0059] Accordingly, through the position of the abnormal place of the flame arrester located and the magnitude of the difference in the pressure drop value, it is comprehensively judged whether the in-service flame arrester needs to be disassembled for inspection, cleaned or replaced, so as to strictly control the quality of the use of the flame arrester in the petrochemical industry.

[0060] Embodiment Three

[0061] Figure 4 is a schematic structural diagram of the flame arrester detection system provided by the third embodiment of the present invention. Please refer toFigure 4 , the flame arrester detection system may include: an acoustic emission sensor 100, adapted to be installed on the flame arrester, for real-time acquisition of acoustic emission signals of the operating flame arrester. A data acquisition and analysis system 200, electrically connected to the acoustic emission sensor 100, configured to: obtain the acoustic emission signals from the acoustic emission sensor 100; extract current signal characteristics of the acoustic emission signals, and determine that the flame arrester is operating abnormally when the current signal characteristics are different from pre-stored normal signal characteristics indicating normal operation of the flame arrester; and when determining that the flame arrester is operating abnormally, locate the abnormal position of the corresponding flame arrester according to the current signal characteristics of the acoustic emission signals.

[0062] A preferred flame arrester detection system may further include: a signal amplifier 300, electrically connected between the acoustic emission sensor 100 and the data acquisition and analysis system 200, for converting the acoustic emission signals monitored by the acoustic emission sensor 100 into low-impedance signals and then transmitting them to the data acquisition and analysis system. Signal transmission through low-impedance signals can reduce energy loss to ensure more accurate acquisition of acoustic emission signals.

[0063] Figure 5 is a schematic diagram of the composition of the data acquisition and analysis system. Please refer to Figure 5 , the data acquisition and analysis system 200 may include: an extraction module 210, for extracting signal characteristics of the acoustic emission signals; a first comparison module 220, for comparing the current signal characteristics with the normal signal characteristics; and a first processing module 230, for determining that the flame arrester is operating abnormally when the current signal characteristics are different from pre-stored normal signal characteristics indicating normal operation of the flame arrester, and when determining that the flame arrester is operating abnormally, locating the abnormal position of the flame arrester according to the current signal characteristics of the acoustic emission signals.

[0064] It should be noted that for the specific details and beneficial effects of the flame arrester detection system embodiment in Embodiment 3 of the present invention, please refer to the method embodiment of the corresponding Embodiment 1, which will not be elaborated here.

[0065] Embodiment 4

[0066] Refer to Figure 4 and Figure 5 , a preferred flame arrester detection system in Embodiment 4 of the present invention may further include: a differential pressure transmitter 400, adapted to be installed on the flame arrester and electrically connected to the data acquisition and analysis system 200, for detecting the current pressure drop value between a first pressure tapping point on the pipeline at the front end of the flame arrester and a second pressure tapping point on the pipeline at the rear end; and obtaining the abnormal condition of the flame arrester through the comparison result between the current pressure drop value and the normal pressure drop value between the corresponding two pressure tapping points indicating normal operation of the flame arrester.

[0067] Preferably, the data acquisition and analysis system includes: a second comparison module 240 for comparing the current pressure drop value with a pre-stored normal pressure drop value indicating the normal operation of the flame arrester; and a second processing module 250 for obtaining the abnormal condition of the flame arrester based on the comparison result.

[0068] It should be noted that for the specific details and beneficial effects of the flame arrester detection system embodiment in the fourth embodiment of the present invention, please refer to the method embodiment of the corresponding second embodiment, which will not be elaborated here.

[0069] Embodiment Five

[0070] Embodiment Five of the present invention is an example of the flame arrester detection method and / or system provided in the above embodiments. Please refer to Figure 6 and describe this example as follows:

[0071] Taking the in-service steady-state detonation type flame arrester 600 with a flange size of DN150 in the pipeline 500 where the flame arrester is installed as an example, first calibrate the acoustic emission sensor 100 and the data acquisition and analysis system 200. Next, check the in-service flame arrester 600 to obtain the corresponding inspection results; measure the background noise of the in-service flame arrester 600; and determine the installation position of the acoustic emission sensor 100 on the in-service flame arrester 600 based on the inspection results and the background noise. Then, determine the first pressure tapping point 401 and the second pressure tapping point 402 on the pipelines 500 at the front and rear ends of the flame arrester, and make the distance a≥1.5m, the distance b = 0.3m, the distance c≥1.5m, and the distance d = 0.3m.

[0072] The in-service flame arrester 600 starts to operate normally, transports fuel gas through the pipeline 500, and starts to detect the in-service flame arrester 600:

[0073] 1) Obtain the acoustic emission signal during the normal operation of the in-service flame arrester 600 through the acoustic emission sensor 100 and transmit it to the signal amplifier 300; the signal amplifier 300 converts the acoustic emission signal into a low-impedance signal and transmits it to the data acquisition and analysis system 200; the data acquisition and analysis system 200 extracts the acoustic emission signal and pre-stores it as the normal signal feature during the normal operation of the in-service flame arrester 600.

[0074] At the same time, detect and pre-store the pressure drop value between the two pressure tapping points 401 and 402 during the normal operation of the in-service flame arrester 600 through the differential pressure transmitter 400 as the normal pressure drop value. For example, the normal pressure drop value is 155 Pa.

[0075] 2) During operation, the current acoustic emission signal during the operation of the in-service flame arrester 600 is obtained in real time by the acoustic emission sensor 100, and after passing through the signal amplifier 300, it is transmitted to the data acquisition and analysis system 200. The data acquisition and analysis system 200 acquires the current acoustic emission signal and extracts the corresponding current signal characteristics. When the current signal characteristics are different from the pre-stored normal signals, it is determined that the in-service flame arrester 600 has an abnormality.

[0076] Meanwhile, the current pressure drop value between the two pressure tapping points 401 and 402 during the operation of the in-service flame arrester 600 is detected by the differential pressure transmitter 400.

[0077] 3) Through the current signal characteristics, the abnormal position of the in-service flame arrester 600 is located, for example, the flame arrester disc is completely blocked.

[0078] Meanwhile, when the in-service flame arrester 600 has an abnormality, the pressure drop value obtained by the differential pressure transmitter 400 will also be significantly different from the pressure drop value during the normal operation of the in-service flame arrester 600. For example, the normal pressure drop value is 155 Pa, and the current pressure drop value obtained is 600 Pa.

[0079] 4) Through the location of the abnormal position of the flame arrester and the magnitude of the difference in the pressure drop value, a comprehensive judgment is made on whether the in-service flame arrester needs to be disassembled for inspection, cleaned, or replaced. For example, in this embodiment, when the flame arrester disc is completely blocked and the normal pressure drop value is 155 Pa, and the current pressure drop value obtained is 600 Pa, the conclusion is drawn that the in-service flame arrester 600 needs to be disassembled, the cause of the blockage of the flame arrester disc is checked, and the flame arrester disc is replaced.

[0080] Embodiment Six

[0081] Embodiment Six of the present invention is an example of the flame arrester detection method and / or system provided in the above embodiments. Please refer to Figure 6 , and this example is described as follows:

[0082] Taking the in-service steady-state detonation type flame arrester 600 with a flange size of DN300 for the pipeline 500 where the flame arrester is installed as an example, the acoustic emission sensor 100 and the data acquisition and analysis system 200 are calibrated first. Next, the in-service flame arrester 600 is inspected to obtain the corresponding inspection results; the background noise of the in-service flame arrester 600 is measured; and based on the inspection results and the background noise, the installation position of the acoustic emission sensor 100 on the in-service flame arrester 600 is determined. Then, the first pressure tapping point 401 and the second pressure tapping point 402 are determined on the pipelines 500 at the front and rear ends of the flame arrester, and the distances a≥3 m, distance b = 0.6 m, distance c≥3 m, and distance d = 0.6 m.

[0083] The in-service flame arrester 600 starts normal operation, transports fuel gas through the pipeline 500, and starts to detect the in-service flame arrester 600:

[0084] Repeat the above steps 1), 2) and 3).

[0085] 4) Based on the difference in the position of the abnormal point of the positioned flame arrester and the pressure drop value, comprehensively judge whether the in-service flame arrester 600 needs to be disassembled for inspection, cleaned or replaced. For example, in this embodiment, when the flame arrestor plate is completely blocked and the normal pressure drop value is 165 Pa, the current pressure drop value obtained is 700 Pa. The conclusion is that the in-service flame arrester 600 needs to be disassembled to check the cause of the blockage of the flame arrestor plate and replace the flame arrestor plate.

[0086] In summary, the expansion and change of internal defects in the material structure of the flame arrester during operation are more sensitive than the existing static defects. The flame arrester detection method and / or system provided by the embodiments of the present invention can monitor the occurrence of abnormalities during the use of the flame arrester, and can be used for real-time monitoring of flame arresters with flame arrestor plates made of different materials (such as steel, non-ferrous metals, non-metals, composite materials, etc.).

[0087] The preferred embodiments of the present invention have been described in detail above in conjunction with the accompanying drawings. However, the present invention is not limited to the specific details in the above embodiments. Within the scope of the technical concept of the present invention, various simple modifications can be made to the technical solutions of the present invention, and these simple modifications all fall within the protection scope of the present invention.

[0088] In addition, it should be noted that, in the case of no contradiction, the various specific technical features described in the above specific embodiments can be combined in any suitable manner. To avoid unnecessary repetition, the present invention will not separately describe various possible combination methods.

[0089] In addition, any combination can be made between different embodiments of the present invention, as long as it does not violate the idea of the present invention, and it should also be regarded as the content disclosed by the present invention.

Claims

1. A method for detecting a flame arrester, the flame arrester being installed in a pipeline for conveying fuel gas, characterized in that, The method for detecting a flame arrester includes: Obtaining in real time an acoustic emission signal of the operating flame arrester through an acoustic emission sensor, where the acoustic emission sensor is adapted to be mounted on the flame arrester; Extracting the current signal characteristics of the acoustical emission signal obtained in real time, and determining that the flame arrester operates abnormally when the current signal characteristics are different from the normal signal characteristics pre-stored indicating the normal operation of the flame arrester; When it is determined that the flame arrester operates abnormally, locating the abnormal position of the corresponding flame arrester according to the current signal characteristics; Detecting the current pressure drop value between a first pressure tapping point on the pipeline at the front end of the flame arrester and a second pressure tapping point on the pipeline at the rear end, including: Determining the first pressure tapping point and the second pressure tapping point on the pipelines at the front and rear ends of the flame arrester respectively, so that the distance of the first pressure tapping point relative to the front end of the flame arrester is less than the distance of the second pressure tapping point relative to the rear end of the flame arrester; Detecting the pressure drop value between the two pressure tapping points through a differential pressure transmitter; and Obtaining the abnormal condition of the flame arrester based on the comparison result between the current pressure drop value and the normal pressure drop value between the corresponding two pressure tapping points pre-stored indicating the normal operation of the flame arrester.

2. The flame arrester detection method according to claim 1, wherein Before obtaining in real time an acoustic emission signal of the operating flame arrester through the acoustic emission sensor, the method for detecting a flame arrester further includes: Inspecting the flame arrester to obtain a corresponding inspection result; Measuring the background noise of the flame arrester; and Determining the installation position of the acoustic emission sensor on the flame arrester according to the inspection result and the background noise.

3. The flame arrester detection method according to claim 1, characterized in that The method for detecting a flame arrester further includes pre-storing the normal signal characteristics, including: When the flame arrester operates normally, obtaining a normal acoustic emission signal of the normally operating flame arrester through the acoustic emission sensor; and Extracting and pre-storing the signal characteristics of the normal acoustic emission signal as the normal signal characteristics.

4. The method for detecting a flame arrester according to claim 1, characterized in that, The method for detecting a flame arrester further includes pre-storing the normal pressure drop value, including: When the flame arrester operates normally, detecting and pre-storing the pressure drop value between the corresponding two pressure tapping points as the normal pressure drop value.

5. A flame arrester detection system, the flame arrester is installed in a pipeline for conveying fuel gas, characterized in that, The flame arrester detection system includes: An acoustic emission sensor, adapted to be mounted on the flame arrester, for obtaining in real time an acoustic emission signal of the operating flame arrester; and A data acquisition and analysis system, electrically connected to the acoustic emission sensor, configured to: Obtain the acoustic emission signal from the acoustic emission sensor; Extract the current signal characteristics of the acoustic emission signal, and determine that the flame arrester operates abnormally when the current signal characteristics are different from the normal signal characteristics pre-stored indicating the normal operation of the flame arrester; and When it is determined that the flame arrester operates abnormally, locating the abnormal position of the corresponding flame arrester according to the current signal characteristics of the acoustic emission signal, Among them, the flame arrester detection system further includes: a differential pressure transmitter, which is adapted to be installed on the flame arrester and electrically connected to the data acquisition and analysis system, and is used to detect the current pressure drop value between the first pressure tapping point on the pipeline at the front end of the flame arrester and the second pressure tapping point on the pipeline at the rear end, wherein the distance of the first pressure tapping point relative to the front end of the flame arrester is less than the distance of the second pressure tapping point relative to the rear end of the flame arrester; and based on the comparison result between the current pressure drop value and the normal pressure drop value shown in the pre-stored value between the corresponding two pressure tapping points when the flame arrester operates normally, the abnormal situation of the flame arrester is obtained. Among them, the data acquisition and analysis system further includes: a second comparison module, which is used to compare the current pressure drop value with the normal pressure drop value shown in the pre-stored value when the flame arrester operates normally; and a second processing module, which is used to obtain the abnormal situation of the flame arrester based on the comparison result.

6. The flame arrester detection system according to claim 5, wherein, The data acquisition and analysis system includes: An extraction module, which is used to extract the signal characteristics of the acoustic emission signal; A first comparison module, which is used to compare the current signal characteristics with the normal signal characteristics; and A first processing module, which is used to determine that the flame arrester operates abnormally when the current signal characteristics are different from the normal signal characteristics shown in the pre-stored value of the normal operation of the flame arrester, and when it is determined that the flame arrester operates abnormally, locate the abnormal position of the flame arrester according to the current signal characteristics of the acoustic emission signal.

7. The flame arrester detection system according to claim 5, characterized in that, The flame arrester detection system further includes: A signal amplifier, which is electrically connected between the acoustic emission sensor and the data acquisition and analysis system, and is used to convert the acoustic emission signal monitored by the acoustic emission sensor into a low-impedance signal and then transmit it to the data acquisition and analysis system.

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