CN115184466A - Flame arrestor detection methods and systems - Google Patents
Flame arrestor detection methods and systems Download PDFInfo
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- CN115184466A CN115184466A CN202110367646.3A CN202110367646A CN115184466A CN 115184466 A CN115184466 A CN 115184466A CN 202110367646 A CN202110367646 A CN 202110367646A CN 115184466 A CN115184466 A CN 115184466A
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N29/00—Investigating or analysing materials by the use of ultrasonic, sonic or infrasonic waves; Visualisation of the interior of objects by transmitting ultrasonic or sonic waves through the object
- G01N29/14—Investigating or analysing materials by the use of ultrasonic, sonic or infrasonic waves; Visualisation of the interior of objects by transmitting ultrasonic or sonic waves through the object using acoustic emission techniques
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01L—MEASURING FORCE, STRESS, TORQUE, WORK, MECHANICAL POWER, MECHANICAL EFFICIENCY, OR FLUID PRESSURE
- G01L13/00—Devices or apparatus for measuring differences of two or more fluid pressure values
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N2291/00—Indexing codes associated with group G01N29/00
- G01N2291/26—Scanned objects
- G01N2291/269—Various geometry objects
Abstract
The embodiment of the invention provides a flame arrester detection method, and belongs to the technical field of flame arresters. The flame arrester is installed in a pipeline for conveying fuel gas, and the flame arrester detection method comprises the following steps: acquiring an acoustic emission signal for the flame arrester in operation in real time by an acoustic emission sensor, wherein the acoustic emission sensor is adapted to the flame arrester installation; extracting current signal characteristics of the acoustic emission signals acquired in real time, and determining that the flame arrester operates abnormally when the current signal characteristics are different from pre-stored normal signal characteristics showing that the flame arrester operates normally; and when the flame arrester is determined to operate abnormally, positioning the abnormal position of the corresponding flame arrester according to the current signal characteristic. The embodiment of the invention also provides a flame arrester detection system. The embodiment of the invention applies the acoustic emission technology to the technical field of flame arresters, and realizes the online nondestructive detection of the in-service flame arresters.
Description
Technical Field
The invention relates to the technical field of flame arresters, in particular to a flame arrester detection method and system.
Background
At present, flame arresters are widely applied to the fields of chemical plants, refinery tank areas and the like, and the application of the flame arresters is an effective safety protection measure for preventing and relieving fire and explosion accidents and expanding, and is also one of important safety measures of petrochemical enterprises. However, in the application process of the flame arrester, the flame arrester is blocked due to the problems of more gas impurities, untimely cleaning and the like existing in the use environment, so that the flame arrester effect is poor. Through on-site research, through the management of communicating flame arresters with imported flame arrester manufacturers at home and abroad and with some chemical enterprises, the defect that whether the flame arresters in service are lack of effective on-line detection in the using process of the flame arresters in service is found to serve as an important basis for replacing the flame arresters in service.
Disclosure of Invention
The embodiment of the invention aims to provide a flame arrester detection method, which can realize online nondestructive detection of an in-service flame arrester.
In order to achieve the above object, an embodiment of the present invention provides a method for detecting a fire arrestor installed in a pipe for transporting fuel gas, the method comprising: acquiring an acoustic emission signal for the flame arrester in operation in real time by an acoustic emission sensor, wherein the acoustic emission sensor is adapted to the flame arrester installation; extracting current signal characteristics of the acoustic emission signals acquired in real time, and determining that the flame arrester operates abnormally when the current signal characteristics are different from pre-stored normal signal characteristics showing normal operation of the flame arrester; and when the flame arrester is determined to operate abnormally, positioning the abnormal position of the corresponding flame arrester according to the current signal characteristic.
Preferably, before the real-time acquisition of the acoustic emission signal for the flame arrestor in operation by the acoustic emission sensor, the flame arrestor detection method further comprises: inspecting the flame arrestor to obtain a corresponding inspection result; measuring a background noise of the flame arrestor; and determining the installation position of the acoustic emission sensor on the flame arrester according to the inspection result and the background noise.
Preferably, the flame arrestor detection method further comprises pre-storing the normal signal characteristic, including: when the flame arrester normally operates, acquiring a normal acoustic emission signal aiming at the flame arrester in normal operation through the acoustic emission sensor; and extracting and pre-storing the signal characteristics of the normal acoustic emission signals as the normal signal characteristics.
Preferably, the flame arrester detection method further comprises: detecting a current pressure drop value between a first pressure tapping point on a pipeline at the front end of the flame arrester and a second pressure tapping point on a pipeline at the rear end; and obtaining the abnormal condition of the flame arrester according to the comparison result of the current pressure drop value and a pre-stored normal pressure drop value between two corresponding pressure taking points when the flame arrester normally operates.
Preferably, the flame arrester detection method further comprises pre-storing the normal pressure drop value, including: and when the flame arrester works normally, detecting and pre-storing a pressure drop value between two corresponding pressure taking points as the normal pressure drop value.
Preferably, the detecting a current pressure drop value between a first pressure tap on the pipe at the front end of the flame arrester and a second pressure tap on the pipe at the rear end comprises: respectively determining a first pressure taking point and a second pressure taking point on pipelines at the front end and the rear end of the flame arrester so as to enable the two pressure taking points to be separated by a preset distance; and detecting a pressure drop value between the two pressure taking points through a differential pressure transmitter.
Preferably, the determining the first and second pressure taking points on the pipes at the front and rear ends of the flame arrester, respectively, comprises: the distance of the first pressure point relative to the front end of the flame arrestor is less than the distance of the second pressure point relative to the rear end of the flame arrestor.
The embodiment of the invention also provides a flame arrester detection system, wherein the flame arrester is arranged in a pipeline for conveying fuel gas, and the flame arrester detection system comprises: and the acoustic emission sensor is adapted to the installation of the flame arrester and is used for acquiring an acoustic emission signal aiming at the flame arrester in operation in real time. A data acquisition and analysis system electrically connected to the acoustic emission sensor and configured to: acquiring the acoustic emission signal from the acoustic emission sensor; extracting the current signal characteristic of the acoustic emission signal, and determining that the flame arrester operates abnormally when the current signal characteristic is different from the pre-stored normal signal characteristic showing that the flame arrester operates normally; and when the flame arrester is determined to operate abnormally, positioning the abnormal position of the corresponding flame arrester according to the current signal characteristic of the acoustic emission signal.
Preferably, the data collection and analysis system includes: the extraction module is used for extracting the signal characteristics of the acoustic emission signal; the first comparison module is used for comparing the current signal characteristic with the normal signal characteristic; and the first processing module is used for determining that the flame arrester operates abnormally when the current signal characteristic is different from the pre-stored normal signal characteristic showing the normal operation of the flame arrester, and positioning the abnormal position of the flame arrester according to the current signal characteristic of the acoustic emission signal when the flame arrester operates abnormally.
Preferably, the flame arrestor detection system further comprises: and the signal amplifier is electrically connected between the acoustic emission sensor and the data acquisition and analysis system and is used for converting the acoustic emission signals monitored by the acoustic emission sensor into low-impedance signals and then transmitting the low-impedance signals to the data acquisition and analysis system.
Preferably, the flame arrestor detection system further comprises: the differential pressure transmitter is adapted to the flame arrester, installed and electrically connected with the data acquisition and analysis system and used for detecting a current pressure drop value between a first pressure point on a pipeline at the front end of the flame arrester and a second pressure point on a pipeline at the rear end of the flame arrester; and obtaining the abnormal condition of the flame arrester according to the comparison result of the current pressure drop value and a pre-stored normal pressure drop value between two corresponding pressure taking points when the flame arrester normally operates.
Preferably, the data collection and analysis system includes: the second comparison module is used for comparing the current pressure drop value with a pre-stored normal pressure drop value showing that the flame arrester operates normally; and the second processing module is used for obtaining the abnormal condition of the flame arrester according to the comparison result.
Through above-mentioned technical scheme, be applied to spark arrester technical field with acoustic emission technique, realized online nondestructive test of spark arrester in active service, and this testing result can regard as whether effective important foundation in its use of spark arrester in active service.
Additional features and advantages of embodiments of the invention will be set forth in the detailed description which follows.
Drawings
The accompanying drawings, which are included to provide a further understanding of the embodiments of the invention and are incorporated in and constitute a part of this specification, illustrate embodiments of the invention and together with the description serve to explain the embodiments of the invention without limiting the embodiments of the invention. In the drawings:
FIG. 1 is a schematic view of the installation of a common flame arrestor;
FIG. 2 is a schematic flow diagram of a method for detecting a flame arrestor according to an embodiment of the present invention;
FIG. 3 is a schematic flow diagram of a method for detecting a flame arrestor according to example two of the present disclosure;
FIG. 4 is a schematic illustration of a flame arrestor detection system as provided in a third embodiment of the invention;
FIG. 5 is a schematic diagram of the data acquisition and analysis system components for FIG. 4; and
FIG. 6 is a schematic diagram of an example of a flame arrestor detection method and/or system provided by an embodiment of the invention.
Description of the reference numerals
100 acoustic emission sensor 200 data acquisition and analysis system
300 signal amplifier 400 differential pressure transmitter
500 pipeline 600 flame arrester
210 extraction module 220 first comparison module
230 first processing module 240 second comparing module
250 first pressure taking point of the second processing module 401
402 second pressure taking point
Detailed Description
The following detailed description of embodiments of the invention refers to the accompanying drawings. It should be understood that the detailed description and specific examples, while indicating embodiments of the invention, are given by way of illustration and explanation only, not limitation.
Before introducing embodiments of the present invention, a brief description of the installation of the flame arrestor will be provided herein. Fig. 1 is a schematic view of the installation of a conventional flame arrester 600, and it will be appreciated that the flame arrester 600 is installed in a duct 500 for transporting fuel gas to prevent the fuel gas from propagating flames through the duct 500.
Example one
Fig. 2 is a schematic flow diagram of a flame arrestor detection method as provided in an embodiment of the invention, and as shown in fig. 2, the flame arrestor detection method may include the following steps:
step S100: acquiring an acoustic emission signal in real time for the flame arrester in operation by an acoustic emission sensor, wherein the acoustic emission sensor is adapted to the flame arrester installation.
In the operation process of the flame arrester, elastic waves are usually generated when changes such as crack growth, blockage of the flame arrester, local plastic deformation, corrosion, phase change and the like occur in the flame arrester, and the acoustic emission sensor can acquire the elastic waves in real time and convert the elastic waves into corresponding acoustic emission signals. The acoustic emission signal is an electrical signal, and it may be preferable to convert the electrical signal into a low impedance signal by a signal amplifier and transmit the signal.
Preferably, before the real-time acquisition of an acoustic emission signal by an acoustic emission sensor for the flame arrestor in operation, the flame arrestor detection method further comprises: inspecting the flame arrestor to obtain a corresponding inspection result; measuring a background noise of the flame arrestor; 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, whether the flame arrester is worn or blocked currently is checked to obtain a corresponding check result, the background noise of the flame arrester is measured, and the acoustic emission sensor is installed at a position where the flame arrester is easy to be abnormal and the influence of the background noise is small
More preferably, after determining the installation position of the acoustic emission sensor, the acoustic emission sensor can be fixed on the detected flame arrester by using an acoustic coupling agent, a clamp or an adhesive, and the installation position of the acoustic emission sensor is clean and flat so as to ensure the propagation and repeated acquisition of the acoustic emission signal.
Step S200: and extracting the current signal characteristic of the acoustic emission signal acquired in real time, and determining that the flame arrester operates abnormally when the current signal characteristic is different from the pre-stored normal signal characteristic showing that the flame arrester operates normally.
For example, the signal features of the extracted real-time acquired acoustic emission signal may be spectral features of the acoustic emission signal.
In the first embodiment of the present invention, the pre-storing the normal signal characteristics further includes: when the flame arrester normally operates, acquiring a normal acoustic emission signal aiming at the flame arrester in normal operation through an acoustic emission sensor; and extracting and pre-storing the signal characteristics of the normal acoustic emission signals as the normal signal characteristics. The normal signal feature and the current signal feature are the same, and may be, for example, a spectral feature of the corresponding acoustic emission signal. It should be noted that, besides the spectrum feature, the normal signal feature and the current signal feature may also be other types of features, and the signal feature type is not limited in the embodiment of the present invention.
Further, determining that the flame arrestor is operating abnormally when the current signature is different from a pre-stored normal signature that shows that the flame arrestor is operating normally. For example, the pre-stored normal signal characteristics may be regular frequency spectrums, and when the frequency spectrum of the extracted current signal is different from the frequency spectrum of the normal signal, for example, the amplitude of the frequency spectrum is different or the number of occurring formants is different, 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 characteristic and the normal signal characteristic is larger and is always different from the normal signal characteristic, so that the abnormal reporting or the stopping of the flame arrester can be delayed slightly after the abnormal condition of the flame arrester is determined, and the noise influence is avoided.
Step S300: and when the flame arrester is determined to operate abnormally, positioning the abnormal position of the corresponding flame arrester according to the current signal characteristic.
In the first embodiment of the invention, an abnormal signal characteristic library can be established, and the abnormal position of the flame arrester can be positioned by comparing the current signal characteristic with the signal characteristic prestored in the abnormal signal characteristic library. For example, an abnormal signal characteristic database is established by collecting or simulating various abnormal signal characteristics of the flame arrester, and when the flame arrester is abnormal, the abnormal position of the flame arrester is obtained through the signal characteristics in the database corresponding to the current abnormal signal characteristics.
In summary, the flame arrester detection method provided by the embodiment of the invention applies an acoustic emission technology to the technical field of flame arresters, realizes online nondestructive detection of in-service flame arresters, and the detection result can be used as an important basis for judging whether the in-service flame arresters are effective in the use process.
Example two
Fig. 3 is a schematic flow diagram of a flame arrestor detection method as provided in example two of the present invention, and as shown in fig. 3, the preferred flame arrestor detection method may further include the following steps:
step S410: detecting a current pressure drop value between a first pressure tapping point on a pipeline at the front end of the flame arrester and a second pressure tapping point on a pipeline at the rear end.
Wherein, pressure taking point refers to the position that is located the spark arrester pipeline, can acquire spark arrester pipeline atmospheric pressure value in the operation. It can be understood that the air pressure values at different positions on the fire retardant organ channel are different, so that a first pressure taking point and a second pressure taking point are arranged, and the pressure drop value can be obtained through the difference value.
When the flame arrester works, the acoustic emission signal is acquired through the step S100, and the current pressure drop value between a first pressure point on the pipeline at the front end of the flame arrester and a second pressure point on the pipeline at the rear end is detected. Preferably, the first pressure taking point and the second pressure taking point are respectively determined on the pipelines at the front end and the rear end of the flame arrester, so that the two pressure taking points are separated by a preset distance; and detecting a pressure drop value between the two pressure taking points through a differential pressure transmitter.
Preferably, the distance of the first pressure pick-up point relative to the front end of the flame arrestor may be less than the distance of the second pressure pick-up point relative to the rear end of the flame arrestor. For example, referring to FIG. 1, a first pressure point may be a location on the conduit at the front end of the flame arrestor where distance a and distance b intersect, and a second pressure point may be a location on the conduit at the rear end of the flame arrestor where distance c and distance d intersect, where distance b < distance c.
More preferably, if the distance b =2xD, the distances a ≧ 10xD, c ≧ 10xD, and d =2xD can be specified, where xD represents a distance unit. Through tests, strictly according to the condition that a is more than or equal to 10xD; b =2xD; c is more than or equal to 10xD; d =2xD, a differential pressure transmitter is installed, so that the obtained pressure drop value can more accurately show the abnormal condition of the flame arrester.
In other embodiments, the pressure values at the corresponding pressure points can be monitored by pressure sensors arranged at the two pressure points, and then the corresponding pressure drop values can be calculated by a processor (such as a single chip microcomputer).
Step S420: and obtaining the abnormal condition of the flame arrester according to the comparison result of the current pressure drop value and a pre-stored normal pressure drop value between two corresponding pressure taking points when the flame arrester operates normally.
When the flame arrester is abnormal, the current pressure drop value is greatly different from the pre-stored normal pressure drop value, so that the abnormal condition of the flame arrester can be obtained.
The flame arrester detection method of the second embodiment of the invention may further include pre-storing the normal pressure drop value, including: and when the flame arrester works normally, detecting and pre-storing a pressure drop value between two corresponding pressure taking points as the normal pressure drop value.
Therefore, whether the flame arrester in service needs to be disassembled, inspected, cleaned or replaced or not is comprehensively judged through the difference of the positioned abnormal position of the flame arrester and the pressure drop value, and strict quality control is carried out for the use of the flame arrester in the petrochemical industry.
EXAMPLE III
Fig. 4 is a schematic structural diagram of a fire arrestor detection system provided in the third embodiment of the present invention, and referring to fig. 4, the fire arrestor detection system may include: an acoustic emission sensor 100 adapted to the flame arrester installation for acquiring in real time acoustic emission signals for the flame arrester in operation. A data acquisition and analysis system 200, electrically connected to the acoustic emission sensor 100, configured to: acquiring the acoustic emission signal from the acoustic emission sensor 100; extracting the current signal characteristic of the acoustic emission signal, and determining that the flame arrester operates abnormally when the current signal characteristic is different from the pre-stored normal signal characteristic showing that the flame arrester operates normally; and when the flame arrester is determined to operate abnormally, positioning the abnormal position of the corresponding flame arrester according to the current signal characteristic of the acoustic emission signal.
The preferred flame arrestor detection system may further comprise: and the signal amplifier 300 is electrically connected between the acoustic emission sensor 100 and the data acquisition and analysis system 200, and is used for converting the acoustic emission signal monitored by the acoustic emission sensor 100 into a low-impedance signal and transmitting the low-impedance signal to the data acquisition and analysis system. Signal transmission through low impedance signals can reduce lost energy to ensure that the acquired acoustic emission signals are more accurate.
Fig. 5 is a schematic diagram of the components of the data collection and analysis system, and referring to fig. 5, the data collection and analysis system 200 may include: an extraction module 210, configured to extract a signal feature of the acoustic emission signal; a first comparing module 220, configured to compare the current signal characteristic with the normal signal characteristic; and a first processing module 230 for determining that the flame arrester is operating abnormally when the current signal characteristic is different from a pre-stored normal signal characteristic showing that the flame arrester is operating normally, and locating an abnormal position of the flame arrester according to the current signal characteristic of the acoustic emission signal when it is determined that the flame arrester is operating abnormally.
For details and advantageous effects of the flame arrester detection system according to the third embodiment of the present invention, please refer to the method embodiment of the first embodiment, which is not described herein again.
Example four
Referring to fig. 4 and 5, a flame arrestor detection system as a fourth preferred embodiment of the present invention may further include: a differential pressure transmitter 400 adapted to the flame arrester and electrically connected to the data acquisition and analysis system 200, for detecting a current pressure drop value between a first pressure point on the pipeline at the front end of the flame arrester and a second pressure point on the pipeline at the rear end; and obtaining the abnormal condition of the flame arrester according to the comparison result of the current pressure drop value and a pre-stored normal pressure drop value between two corresponding pressure taking points when the flame arrester operates normally.
Preferably, the data collection and analysis system comprises: a second comparison module 240, configured to compare the current pressure drop value with a pre-stored normal pressure drop value that shows that the flame arrester is operating normally; and a second processing module 250 for deriving an abnormal condition of the flame arrester from the comparison result.
For details and beneficial effects of the flame arrester detection system in the fourth embodiment of the present invention, please refer to the corresponding method embodiment of the second embodiment, which is not described herein again.
EXAMPLE five
Embodiment five of the present disclosure is an example of a flame arrestor detection method and/or system provided in the above embodiments. Referring to fig. 6, this example is described:
taking the pipeline steady-state detonation-type in-service flame arrester 600 with the flange size of the flame arrester installation pipeline 500 being DN150 as an example, the acoustic emission sensor 100 and the data acquisition and analysis system 200 are calibrated. The in-service flame arrestor 600 is next inspected to obtain a corresponding inspection result; measuring the background noise of the in-service flame arrestor 600; and determining the installation position of the acoustic emission sensor 100 on the in-service flame arrester 600 according to the inspection result and the background noise. A first pressure tapping point 401 and a second pressure tapping point 402 are then determined on the pipe 500 at the front and rear ends of the flame arrester, with a distance a ≧ 1.5m, a distance b =0.3m, a distance c ≧ 1.5m, and a distance d =0.3m.
This flame arrester 600 in active service begins normal operating, transports fuel gas through pipeline 500, begins to detect this flame arrester 600 in active service:
1) An acoustic emission signal of the flame arrester 600 in service during normal operation is acquired by the acoustic emission sensor 100 and transmitted to the signal amplifier 300; the signal amplifier 300 converts the acoustic emission signal into a low impedance signal, and transmits the low impedance signal to the data acquisition and analysis system 200; the data acquisition and analysis system 200 extracts the acoustic emission signal and prestores the acoustic emission signal as a normal signal characteristic of the in-service flame arrester 600 in normal operation.
Meanwhile, a pressure drop value between two pressure taking points 401 and 402 when the existing flame arrester 600 operates normally is detected and prestored as a normal pressure drop value by the differential pressure transmitter 400, for example, the normal pressure drop value is 155Pa.
2) In the operation process, the current acoustic emission signal of the flame arrester 600 in service is acquired in real time through the acoustic emission sensor 100 and transmitted to the data acquisition and analysis system 200 through the signal amplifier 300, the data acquisition and analysis system 200 acquires the current acoustic emission signal and extracts the corresponding current signal characteristic, and when the current signal characteristic is different from the pre-stored normal signal, the abnormality of the flame arrester 600 in service is determined.
At the same time, the current pressure drop between the two pressure tapping points 401 and 402 is detected by differential pressure transmitter 400 during operation of in-service flame arrestor 600.
3) By means of the current signal characteristic, an abnormal position of the in-service flame arrester 600 is located, for example a full blockage of the flame arrester disc.
Meanwhile, when the flame arrester 600 in service is abnormal, the pressure drop value acquired by the differential pressure transmitter 400 is also greatly different from the pressure drop value when the flame arrester 600 in service normally operates, for example, the normal pressure drop value is 155Pa, and the acquired current pressure drop value is 600Pa.
4) Through the unusual position of spark arrester of location and the difference size of pressure drop value, whether comprehensive judgement is in labour the spark arrester and need dismantle inspection, washing or change, for example the fire blocking plate appears overall blocking up in this embodiment, and when normal pressure drop value was 155Pa, the current pressure drop value that obtains was 600Pa, draws the conclusion: the in-service flame arrestor 600 needs to be disassembled, the blockage reason of the flame arresting disc is checked, and the flame arresting disc is replaced.
EXAMPLE six
Sixth embodiment of the invention is an example of a flame arrestor detection method and/or system as provided by the embodiments above. Referring to fig. 6, this example is described:
taking the pipeline steady-state detonation type in-service flame arrester 600 with the flange size of the flame arrester installation pipeline 500 being DN300 as an example, the acoustic emission sensor 100 and the data acquisition and analysis system 200 are calibrated. Next, the in-service flame arrestor 600 is inspected to obtain corresponding inspection results; measuring the background noise of the in-service flame arrestor 600; and determining the installation position of the acoustic emission sensor 100 on the in-service flame arrester 600 according to the inspection result and the background noise. A first pressure tapping point 401 and a second pressure tapping point 402 are then determined on the pipe 500 at the front and rear ends of the flame arrester, with a distance a ≧ 3m, a distance b =0.6m, a distance c ≧ 3m, and a distance d =0.6m.
This flame arrester 600 in active service begins normal operating, transports fuel gas through pipeline 500, begins to detect this flame arrester 600 in active service:
repeating the steps 1), 2) and 3).
4) Through the unusual position of spark arrester of location and the difference size of pressure drop value, whether this spark arrester 600 in active service need dismantle inspection, washing or change is synthesized and judged, for example the fire blocking plate appears overall blocking in this embodiment, and when normal pressure drop value was 165Pa, the current pressure drop value that obtains was 700Pa, draws the conclusion: the in-service flame arrestor 600 needs to be disassembled, the blockage reason of the flame retardant disk is checked, and the flame retardant disk is replaced.
In summary, the extension and change of defects in the material structure of the flame arrester during operation are more sensitive than existing static defects, and the flame arrester detection method and/or system provided by the embodiment of the invention can monitor the occurrence of abnormity of the flame arrester during the use process of the flame arrester, and can be used for real-time monitoring of flame arresters of flame retardant disks made of different materials (such as steel, nonferrous metals, non-metals, composite materials and the like).
The preferred embodiments of the present invention have been described in detail with reference to the accompanying drawings, however, the present invention is not limited to the specific details of the above embodiments, and various simple modifications may be made to the technical solution of the present invention within the technical idea of the present invention, and these simple modifications all fall within the protection scope of the present invention.
It should be noted that the various features described in the foregoing embodiments may be combined in any suitable manner without contradiction. The invention is not described in detail in order to avoid unnecessary repetition.
In addition, any combination of the various embodiments of the present invention can be made, and the same should be considered as the disclosure of the present invention as long as the idea of the present invention is not violated.
Claims (12)
1. A method of detecting a flame arrester installed in a pipeline carrying fuel gas, the method comprising:
acquiring an acoustic emission signal for the flame arrester in operation in real time by an acoustic emission sensor, wherein the acoustic emission sensor is adapted to the flame arrester installation;
extracting current signal characteristics of the acoustic emission signals acquired in real time, and determining that the flame arrester operates abnormally when the current signal characteristics are different from pre-stored normal signal characteristics showing normal operation of the flame arrester; and
and when the flame arrester is determined to operate abnormally, positioning the abnormal position of the corresponding flame arrester according to the current signal characteristic.
2. A flame arrestor detection method as defined in claim 1, wherein prior to the real-time acquisition of an acoustic emission signal by an acoustic emission sensor for the flame arrestor in operation, the flame arrestor detection method further comprises:
inspecting the flame arrestor to obtain a corresponding inspection result;
measuring a background noise of the flame arrestor; and
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 arrestor detection method of claim 1, further comprising pre-storing the normal signal signature comprising:
when the flame arrester normally operates, acquiring a normal acoustic emission signal aiming at the flame arrester in normal operation through the acoustic emission sensor; and
and extracting and pre-storing the signal characteristics of the normal acoustic emission signals as the normal signal characteristics.
4. The flame arrestor detection method of claim 1, further comprising:
detecting a current pressure drop value between a first pressure point on a pipeline at the front end of the flame arrester and a second pressure point on a pipeline at the rear end; and
and obtaining the abnormal condition of the flame arrester through the comparison result of the current pressure drop value and a pre-stored normal pressure drop value between two corresponding pressure taking points when the flame arrester normally operates.
5. The flame arrestor detection method of claim 4, further comprising pre-storing the normal pressure drop value comprising:
and when the flame arrester works normally, detecting and pre-storing a pressure drop value between two corresponding pressure taking points as the normal pressure drop value.
6. The method of flame arrestor detection as recited in claim 4, wherein detecting the current pressure drop value between a first pressure tap on a conduit at a front end of the flame arrestor and a second pressure tap on a conduit at a rear end comprises:
respectively determining a first pressure taking point and a second pressure taking point on pipelines at the front end and the rear end of the flame arrester so as to enable the two pressure taking points to be separated by a preset distance;
and detecting a pressure drop value between the two pressure taking points through a differential pressure transmitter.
7. The method of flame arrestor detection as defined in claim 6, wherein determining the first and second pressure points on the tubes at the front and rear ends of the flame arrestor, respectively, comprises:
the distance of the first pressure point relative to the front end of the flame arrestor is less than the distance of the second pressure point relative to the rear end of the flame arrestor.
8. A flame arrestor detection system, the flame arrestor being installed in a pipeline that transports fuel gas, the flame arrestor detection system comprising:
the acoustic emission sensor is adapted to the installation of the flame arrester and is used for acquiring an acoustic emission signal aiming at the flame arrester in operation in real time; and
a data acquisition and analysis system electrically connected to the acoustic emission sensor and configured to:
acquiring the acoustic emission signal from the acoustic emission sensor;
extracting the current signal characteristic of the acoustic emission signal, and determining that the flame arrester operates abnormally when the current signal characteristic is different from the pre-stored normal signal characteristic showing that the flame arrester operates normally; and
and when the flame arrester is determined to operate abnormally, positioning the abnormal position of the corresponding flame arrester according to the current signal characteristic of the acoustic emission signal.
9. The flame arrestor detection system of claim 8, wherein the data collection and analysis system comprises:
the extraction module is used for extracting the signal characteristics of the acoustic emission signal;
the first comparison module is used for comparing the current signal characteristic with the normal signal characteristic; and
the first processing module is used for determining that the flame arrester operates abnormally when the current signal characteristic is different from the pre-stored normal signal characteristic showing normal operation of the flame arrester, and positioning the abnormal position of the flame arrester according to the current signal characteristic of the acoustic emission signal when the flame arrester operates abnormally.
10. The flame arrestor detection system of claim 8, further comprising:
and the signal amplifier is electrically connected between the acoustic emission sensor and the data acquisition and analysis system and is used for converting the acoustic emission signals monitored by the acoustic emission sensor into low-impedance signals and then transmitting the low-impedance signals to the data acquisition and analysis system.
11. The flame arrestor detection system of claim 8, further comprising:
the differential pressure transmitter is adapted to the flame arrester, installed and electrically connected with the data acquisition and analysis system and used for detecting a current pressure drop value between a first pressure point on a pipeline at the front end of the flame arrester and a second pressure point on a pipeline at the rear end of the flame arrester; and
and obtaining the abnormal condition of the flame arrester through the comparison result of the current pressure drop value and a pre-stored normal pressure drop value between two corresponding pressure taking points when the flame arrester normally operates.
12. A flame arrestor detection system as defined in claim 11, wherein the data collection and analysis system comprises:
the second comparison module is used for comparing the current pressure drop value with a pre-stored normal pressure drop value showing that the flame arrester operates normally; and
and the second processing module is used for obtaining the abnormal condition of the flame arrester according to the comparison result.
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