CN117630033A - Weld joint detection method, system and device for hydraulic support - Google Patents

Weld joint detection method, system and device for hydraulic support Download PDF

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Publication number
CN117630033A
CN117630033A CN202311466187.XA CN202311466187A CN117630033A CN 117630033 A CN117630033 A CN 117630033A CN 202311466187 A CN202311466187 A CN 202311466187A CN 117630033 A CN117630033 A CN 117630033A
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China
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detector
detection
determining
hydraulic support
detection result
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马英
杜尚宇
徐亚军
时洪宇
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CCTEG Coal Mining Research Institute
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CCTEG Coal Mining Research Institute
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Priority to CN202311466187.XA priority Critical patent/CN117630033A/en
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    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02EREDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
    • Y02E30/00Energy generation of nuclear origin
    • Y02E30/30Nuclear fission reactors

Abstract

The disclosure provides a welding seam detection method, a system and a device of a hydraulic support, which relate to the technical field of welding seam detection and comprise the following steps: determining each hydraulic support to be monitored, wherein a detector is arranged on a welding line of the hydraulic support, and a fiber bragg grating sensor and a communication module are arranged in the detector; synchronously transmitting test signals to each detector and receiving detection information and detector identifications returned by each detector through the communication module; based on the sending time of the test signal, carrying out data alignment on each detection information; and determining the detection result of each welding seam based on the detection information corresponding to each detector identifier. Therefore, detection results of all welding seams on all hydraulic supports to be monitored can be obtained in a wireless communication mode, and great manpower and material resources can be saved.

Description

Weld joint detection method, system and device for hydraulic support
Technical Field
The disclosure relates to the technical field of weld detection, in particular to a method, a system and a device for detecting a weld of a hydraulic support.
Background
The hydraulic support is one of key equipment in coal mine production, bears huge pressure and gravity load, and whether the condition is stable or not directly influences the safety and efficiency of coal production. Welds are important connecting parts of a supporting structure, the quality of the welds directly affects the stability and the reliability of the hydraulic support, and if the welds have quality problems, such as welding defects, cracks and the like, the hydraulic support is easy to fail, collapse and even accident occurs. Therefore, the weld quality of the hydraulic support with large mining height is necessary to be monitored so as to ensure the safety and stability of the structure. Welding deformation and cracking of hydraulic support structural members have been an important problem in industry affecting product quality and performance. Structural cracking leading to working face downtime is a significant cause of unsatisfactory product performance for the mining side. The hydraulic support structure belongs to a multi-chamber box girder structure consisting of plates and sectional materials. The number of the welding lines is dense, the welding lines are large in size, the structural stress is concentrated seriously, the residual stress is distributed in a complex way, and the hydraulic support works in an unstable state.
In the related art, the ultrasonic wave, the magnetic powder and the manual detection are mainly relied on, so that the problems of low detection efficiency, poor precision and the like exist, and the high-efficiency development of the bracket maintenance service is seriously restricted.
Therefore, how to accurately and reliably monitor the hydraulic support, so that the problem of welding seams of the hydraulic support can be found timely, and the problem that the production efficiency of equipment needs to be solved at present is solved urgently.
Disclosure of Invention
The present disclosure aims to solve, at least to some extent, one of the technical problems in the related art.
An embodiment of a first aspect of the present disclosure provides a method for detecting a weld of a hydraulic support, including:
determining each hydraulic support to be monitored, wherein a detector is arranged on a welding line of the hydraulic support, and a fiber bragg grating sensor and a communication module are arranged in the detector;
synchronously transmitting test signals to each detector and receiving detection information and detector identifications returned by each detector through the communication module;
based on the sending time of the test signal, carrying out data alignment on each detection information;
and determining the detection result of each welding seam based on the detection information corresponding to each detector identifier.
An embodiment of a second aspect of the present disclosure provides a weld detection system for a hydraulic support, including a host and a plurality of detectors, where the detectors include a swept source, a circulator, a fiber bragg grating, and a communication module, where,
the detector is arranged at the welding line position of the hydraulic support and is communicated with the host based on the communication module;
after receiving the test signal sent by the host, the detector sends light waves with preset bandwidth to the fiber bragg grating through the circulator based on the sweep frequency light source, determines a detection result of the welding seam according to a reflection spectrum corresponding to the reflected waves, and then sends the detection result to the host through the communication module.
An embodiment of a third aspect of the present disclosure provides a weld detection apparatus for a hydraulic support, including:
the first determining module is used for determining each hydraulic support to be monitored, wherein a detector is arranged on a welding line of the hydraulic support, and a fiber bragg grating sensor and a communication module are arranged in the detector;
the sending module is used for synchronously sending test signals to the detectors and receiving detection information and detector identifications returned by the detectors through the communication module;
The alignment module is used for carrying out data alignment on each detection information based on the sending time of the test signal;
and the second determining module is used for determining the detection result of each welding line based on the detection information corresponding to each detector identifier.
An embodiment of a fourth aspect of the present disclosure proposes an electronic device, including: the welding seam detection method of the hydraulic support comprises a memory, a processor and a computer program which is stored in the memory and can run on the processor, wherein the processor realizes the welding seam detection method of the hydraulic support as provided by the embodiment of the first aspect of the disclosure when the processor executes the program.
An embodiment of a fifth aspect of the present disclosure proposes a non-transitory computer readable storage medium storing a computer program which, when executed by a processor, implements a weld detection method of a hydraulic bracket as proposed by an embodiment of the first aspect of the present disclosure.
The welding seam detection method, system and device for the hydraulic support provided by the disclosure have the following beneficial effects:
in the embodiment of the disclosure, firstly, each hydraulic support to be monitored is determined, wherein a detector is arranged on a welding line of the hydraulic support, a fiber bragg grating sensor and a communication module are arranged in the detector, then test signals are synchronously sent to each detector, detection information and a detector identifier returned by each detector through the communication module are received, then data alignment is carried out on each detection information based on the sending time of the test signals, and finally the detection result of each welding line is determined based on the detection information corresponding to each detector identifier. Therefore, detection results of all welding seams on all hydraulic supports to be monitored can be obtained in a wireless communication mode, large manpower and material resources can be saved, accuracy of welding seam detection can be guaranteed, and the intelligent degree is higher. The welding seam detection is performed in a fiber grating sensor mode, the detection efficiency is higher, the accuracy is better, the fiber grating sensor has a wide application prospect in the field of hydraulic support monitoring, the maintenance efficiency and quality of the hydraulic support can be effectively improved, and the effect is obvious.
Additional aspects and advantages of the disclosure will be set forth in part in the description which follows, and in part will be obvious from the description, or may be learned by practice of the disclosure.
Drawings
The foregoing and/or additional aspects and advantages of the present disclosure will become apparent and readily appreciated from the following description of the embodiments, taken in conjunction with the accompanying drawings, in which:
fig. 1 is a schematic flow chart of a method for detecting a weld joint of a hydraulic support according to an embodiment of the disclosure;
FIG. 2 is a schematic diagram of a fiber grating according to an embodiment of the present disclosure;
FIG. 3 is a schematic diagram of a fiber grating sensor according to an embodiment of the present disclosure;
fig. 4 is a schematic flow chart of a method for detecting a weld of a hydraulic support according to an embodiment of the disclosure;
FIG. 5 is a block diagram of a weld detection system for a hydraulic mount according to an embodiment of the present disclosure;
FIG. 6 is a schematic diagram of a multi-path demodulation system according to an embodiment of the present disclosure;
fig. 7 is a block diagram of a welding seam detection device of a hydraulic support according to an embodiment of the disclosure;
FIG. 8 illustrates a block diagram of an exemplary computer device suitable for use in implementing embodiments of the present disclosure.
Detailed Description
Embodiments of the present disclosure are described in detail below, examples of which are illustrated in the accompanying drawings, wherein like or similar reference numerals refer to like or similar elements or elements having like or similar functions throughout. The embodiments described below by referring to the drawings are exemplary and intended for the purpose of explaining the present disclosure and are not to be construed as limiting the present disclosure.
At present, the main stream method for nondestructive detection of the welding line of the steel structure mainly comprises an ultrasonic detection method, a magnetic powder detection method, an eddy current detection method, a magnetic flux leakage detection method, a radiation detection method, an optical fiber strain method and the like. The magnetic powder detection equipment has visual defects, is only suitable for detecting cracks on the surface and near surface of steel, and has lower detection efficiency. The detection area of the eddy current detection method has certain limitation, and the detection depth cannot meet the requirement of detecting cracks in steel. The working principle of the ray detection method is that when the steel has defects, the capability of penetrating the steel by rays is changed, the integrity of the steel can be judged by detecting the difference of the rays penetrating the steel, but the requirement on detection equipment is higher, the operation is relatively complex, and the method is mainly applied to the detection stage before the steel leaves a factory. The optical fiber test method is used for optical fibers or other materials adhered on the surface, and individual parameters of the steel are changed along with the change of the optical fibers or other materials after the steel is stressed, and the optical fiber test method needs to fix a test sensor with a base metal through electric welding or gluing and the like, but the optical fiber test method can lead to a plurality of connecting wires in the test process, the connecting wires are mutually wound and easily fall off, the maintenance is very difficult, the weld detection amount is huge, and huge workload is brought to staff. In addition, the test sensor in the optical fiber test method needs to be glued and replaced frequently, is very troublesome, needs to be fixed on the base material before each detection, and also needs to comb the connecting wire very troublesome.
The following describes a weld detection method, apparatus, computer device, and storage medium of a hydraulic mount according to an embodiment of the present disclosure with reference to the accompanying drawings.
It should be noted that, the execution main body of the welding seam detection method of the hydraulic support in the embodiment of the disclosure is a welding seam detection device of the hydraulic support.
Fig. 1 is a schematic flow chart of a method for detecting a weld joint of a hydraulic support according to a first embodiment of the disclosure.
As shown in fig. 1, the method for detecting the welding seam of the hydraulic support can comprise the following steps:
step 101, determining each hydraulic support to be monitored, wherein a detector is arranged on a welding line of the hydraulic support, and a fiber bragg grating sensor and a communication module are arranged in the detector.
The hydraulic support to be monitored can be a hydraulic support to be subjected to weld detection.
In particular, 50 hydraulic mounts may be determined at a time, each hydraulic mount having 40 welds with one detector disposed on each weld. The communication module in the detector is used for wireless communication and can be a wifi module.
The fiber grating sensor FBG may be an optical fiber sensing component with a periodically modulated refractive index of a medium in a fiber core. The effect is equivalent to forming a narrow band (transmissive or reflective) filter or mirror in the core, which is reflected back by the grating to a single beam of monochromatic light λg when a broad spectrum light with a center wavelength λ passes through the FBG.
The fiber bragg grating sensor is a fiber bragg grating sensor. The fiber Bragg grating sensor is a sensor based on the fiber Bragg grating principle. The method utilizes the Bragg grating structure in the optical fiber to measure and monitor the external environment parameters. The fiber bragg grating sensor can realize the measurement of weak signals, has extremely high sensitivity to environmental parameters, has quick response characteristics, can rapidly detect and feed back the change of the environmental parameters, can provide high-precision data results through the accurate measurement of the fiber bragg grating, and can realize remote monitoring and measurement due to the flexibility and transmission performance of the optical fiber. The fiber Bragg grating sensor has high anti-interference capability, good electromagnetic interference resistance and corrosion resistance, can still work normally in a complex environment, can be reused, can be repeatedly used, and is not easy to damage or degrade.
The communication module may be a LoRa module, a Zigbee module, a Bluetooth module, a Wi-Fi module, or an NB-IoT module, which is not limited herein.
LoRa (Long Range) is a long-distance low-power wireless communication technology, has good communication distance and penetration capability, and is suitable for application of the Internet of things.
Among them, zigbee is a short-range, low-power wireless protocol.
Among them, bluetooth is a near field wireless communication technology.
The NB-IoT (Narrowband Internet of Things) is a narrowband Internet of things communication technology and is suitable for Internet of things equipment connection.
In particular, the detector in the embodiments of the present disclosure may be mechanically fixed at the weld location, so that multiple reusability may be achieved.
Step 102, synchronously sending test signals to each detector, and receiving detection information and detector identifications returned by each detector through the communication module.
Wherein the test signal may be used to activate the respective detector for testing. It should be noted that the test signal may be a wifi signal, or may be another form of wireless communication signal.
Wherein the detection information is the variation of the center wavelength. The detector identifier can be used for representing the welding seam corresponding to the detection information, so that the detection information corresponding to each welding seam can be determined conveniently.
And 103, carrying out data alignment on each detection information based on the transmission time of the test signal.
Wherein, the detector and the host can carry out bidirectional real-time communication. The time of transmission of the test signal needs to be synchronized with the measurement time of the probe to ensure data alignment and proper correlation. In designing the probe identifications, it is ensured that they can uniquely identify each weld, preventing confusion. Each detector transmits detection information and detector identification back to the host computer through the communication module, the host computer receives data from different detectors, the data can be ordered and aligned according to the sent time stamp according to the characteristics of the communication module, and the corresponding detection information is associated with a specific welding seam according to the detector identification.
Step 104, determining the detection result of each welding seam based on the detection information corresponding to each detector identifier.
Optionally, a detection result of the weld corresponding to the detector identifier may be determined according to the variation of the center wavelength corresponding to each detector identifier, where the detection result includes a temperature detection result, a pressure detection result, and/or a stress detection result.
It should be noted that, the wavelength of the reflection or transmission peak of the fiber grating is related to the refractive index modulation period of the grating and the effective refractive index of the fiber core, and the change of the external temperature or strain affects the refractive index modulation period of the fiber grating and the refractive index of the fiber core, so as to cause the change of the wavelength of the reflection or transmission peak of the fiber grating, and the change of the temperature or strain causes the change of the period and the refractive index of the fiber bragg grating, so that the reflection spectrum and the transmission spectrum of the fiber bragg grating are changed. By detecting the changes of the reflection spectrum and the transmission spectrum of the fiber Bragg grating, corresponding temperature and strain information can be obtained.
FIG. 2 is a diagram showing a structure of an optical fiber grating, in which a swept source transmits incident light of a predetermined range to the optical fiber grating, λ according to the mode coupling theory B The wavelength of =2nΛ is reflected back by the fiber grating. Wherein lambdaB is the center wavelength of the fiber bragg grating, lambdaB is the grating period, and n is the effective refractive index of the fiber core. After the FBG, light corresponding to the central wavelength is reflected back, the rest of light continues to propagate forwards, the reflected light is separated from the incident light through the optical coupler, the reflected light is monitored by the photosensitive device, when the FBG is heated or deformed under stress, the corresponding frequency changes, the frequency of the emitted light changes correspondingly, and the sensing temperature and strain of the fiber bragg grating are further realized.
The reflected center wavelength signal λBETA is related to the grating period Λ and the effective refractive index n of the fiber core, so that the change of the reflected center wavelength is caused by the change of the temperature and the stress of the fiber grating caused by the external measurement. That is, the change of the central wavelength of the reflected light of the fiber bragg grating reflects the change condition of the external measured signal. The relationship between the center wavelength of the fiber grating and the temperature and strain is as follows:
wherein,for the thermal expansion coefficient of the optical fiber, +.>Is the thermo-optic coefficient of the optical fiber material,is the elasto-optical coefficient of the optical fiber material, delta lambda B Is the amount of change in the center wavelength.
The relation between strain ε and wavelength shift Δλ, ε, will be described in conjunction with the formula TO Indicating thermally induced apparent strain. Since FBGs are sensitive to both strain and temperature. Thus, ε is shown in the formula TO For indicating how temperature affects strain measurements, where DeltaT is the temperature change, CTE S 13.3 ppm/. Degree.C.
ε=(Δλ/λ 0 )×10 6 /F GTO
ε TO =ΔT[C 1 /F G +CTE S -C 2 ]
In particular, when the laboratory is run, the laboratory temperature may be maintained at 12℃resulting in a DeltaT of 10℃epsilon TO The laboratory temperature was considered to be constant, ε, at 62.17 μm TO Is subtracted as the sensor zero offset. To measure the deformation of the weld, the strain may be converted to deformation. Here, the length L of the sensor is 2.38cm, and in the case of uniform stress of the sensor, the expression of deformation d can be obtained as follows:
d=ε×L
where ε is the engineering normal strain, d is the final length, and L is the initial length.
Optionally, the FBG can be encapsulated in a temperature-sensitive material, so that the temperature coefficient sensitivity of the FBG can be improved, and further, the greater measurement accuracy can be obtained. FIG. 3 is a schematic diagram of a fiber grating (FBG) sensor, as shown in FIG. 3, where a broad spectrum light source can emit incident light with a center wavelength λ toward a circulator.
Optionally, in response to determining that the temperature detection result of any one of the welding seams does not meet the preset condition, sending a temperature detection instruction to a detector corresponding to any one of the welding seams, so that the detector acquires the current temperature of any one of the welding seams based on the temperature sensor, and then comparing the current temperature with the temperature detection result of any one of the welding seams to determine whether the temperature detection result is qualified.
The temperature detection instruction is used for indicating the detector to detect the temperature corresponding to any welding seam by using the temperature sensor, so that dual monitoring of the temperature can be realized, and the accuracy of temperature detection is ensured. And if the difference value between the current temperature and the temperature detection result is smaller than the preset threshold value, the temperature detection result is qualified.
In the embodiment of the disclosure, firstly, each hydraulic support to be monitored is determined, wherein a detector is arranged on a welding line of the hydraulic support, a fiber bragg grating sensor and a communication module are arranged in the detector, then test signals are synchronously sent to each detector, detection information and a detector identifier returned by each detector through the communication module are received, then data alignment is carried out on each detection information based on the sending time of the test signals, and finally the detection result of each welding line is determined based on the detection information corresponding to each detector identifier. Therefore, detection results of all welding seams on all hydraulic supports to be monitored can be obtained in a wireless communication mode, large manpower and material resources can be saved, accuracy of welding seam detection can be guaranteed, and the intelligent degree is higher. The welding seam detection is performed in a fiber grating sensor mode, the detection efficiency is higher, the accuracy is better, the fiber grating sensor has a wide application prospect in the field of hydraulic support monitoring, the maintenance efficiency and quality of the hydraulic support can be effectively improved, and the effect is obvious.
Fig. 4 is a schematic flow chart of a method for detecting a weld joint of a hydraulic support according to a second embodiment of the disclosure.
As shown in fig. 4, the method for detecting the welding seam of the hydraulic support can comprise the following steps:
step 201, determining each hydraulic support to be monitored, wherein a detector is arranged on a welding line of the hydraulic support, and a fiber bragg grating sensor and a communication module are arranged in the detector.
Step 202, synchronously sending test signals to each detector, and receiving detection information and detector identifications returned by each detector through the communication module.
And 203, performing data alignment on each piece of detection information based on the sending time of the test signal.
Step 204, determining a detection result of each welding seam based on the detection information corresponding to each detector identifier.
It should be noted that, the specific implementation manner of the steps 201, 202, 203, 204 may refer to the above embodiment, and will not be described herein.
At step 205, reference information associated with each probe identity is determined, wherein the reference information includes temperature reference information and strain reference information.
The reference information is used for representing the reference data of the welding seam of the position detected by the detector corresponding to the detector mark. It should be noted that, in the case of a hydraulic support performing a certain operation, the temperature and deformation conditions corresponding to different welds may be different. Corresponding reference data can thus be preset for the different weld seams.
Optionally, the action characteristics corresponding to the detection moment of any hydraulic bracket to be monitored can be determined first, and then the reference information associated with the action characteristics and each detector identifier is acquired. It should be noted that the hydraulic support has different movement characteristics when performing different movements. The motion features may be lifting motion, advanced backward motion, supporting motion, fixing motion, and swinging motion. It should be noted that when the hydraulic support does different actions, the deformation condition of the welding seam may be different, so that corresponding reference information may be provided.
Optionally, the ambient temperature and the ambient humidity of the current scene at the current moment, and the temperature interval and the humidity interval corresponding to the ambient temperature and the ambient humidity respectively may be determined, and then the reference information corresponding to the temperature interval and the humidity interval may be obtained based on a preset mapping relationship. It should be noted that the reference temperature of the weld may also be different for different ambient temperatures and ambient humidity of the current scenario. For example, if the ambient temperature is large, the reference temperature may also be large. A large number of experiments can be performed in advance to determine the influence of different ambient temperatures and ambient humidity on the weld seam temperature, and a mapping relation table is generated, so that corresponding reference information can be determined directly according to the current ambient temperature and ambient humidity.
And 206, comparing the detection result of each welding seam corresponding to any hydraulic support to be monitored with corresponding reference information to generate a welding seam statistical result related to the hydraulic support to be monitored.
Specifically, the detection result of the welding seam corresponding to each hydraulic support to be monitored can be compared with the reference information corresponding to the welding seam, and whether the welding seam is abnormal or not can be judged.
The weld joint statistical result can be a statistical result of each weld joint of any hydraulic support to be monitored. It should be noted that, the comparison results corresponding to the respective welds may be collected, so that a final weld statistical result may be obtained.
For example, if the weld strain amount included in the detection result is S1, and the strain reference information corresponding to the strain amount is a normal section (S2, S3) corresponding to the strain amount, it may be determined whether S1 is in the normal section (S2, S3) to determine whether the weld strain is normal. And in the same way, whether the temperature and the pressure of the welding line meet the corresponding normal intervals can be judged, so that the judging results corresponding to the temperature and the pressure can be obtained, and if the judging results are normal, the welding line is normal. It should be noted that the weld statistical result may include an abnormal judgment result corresponding to each weld.
Step 207, comparing the similarity between the weld statistics and the reference results.
The reference result can be a corresponding datum result of any hydraulic bracket to be monitored. It should be noted that, the reference result may be a preset state of each weld seam of the hydraulic support in a normal running state. By comparing the similarity between the reference result and the weld statistical result, whether the hydraulic support belongs to normal operation at present can be judged.
And step 208, if the similarity is smaller than a preset threshold value, determining that any hydraulic bracket to be monitored is in an abnormal state. In the embodiment of the present disclosure, the preset threshold may be 0.88. It should be noted that if the similarity is smaller than the preset threshold, it is indicated that any hydraulic bracket to be monitored is in an abnormal state.
In the embodiment of the disclosure, firstly, a detector is arranged on a welding line of each hydraulic support to be monitored, a fiber bragg grating sensor and a communication module are arranged in the detector, then test signals are synchronously sent to each detector, detection information and detector identifications returned by each detector through the communication module are received, then data alignment is carried out on each detection information based on the sending time of the test signals, finally, detection results of each welding line are determined based on detection information corresponding to each detector identification, then reference information associated with each detector identification is determined, wherein the reference information comprises temperature reference information and strain reference information, then the detection results of each welding line corresponding to any hydraulic support to be monitored and the corresponding reference information are compared to generate welding line statistical results associated with the hydraulic support to be monitored, then similarity between the welding line statistical results and the reference results is compared, and finally, if the similarity is smaller than a preset threshold value, any hydraulic support to be monitored is determined to be in an abnormal state. Therefore, the operation state of the hydraulic support can be comprehensively judged according to the detection results of all welding seams, so that abnormal operation of the hydraulic support is avoided, and damage is avoided. The method combines the action characteristics of the environment temperature, the environment humidity and the hydraulic support, and can enable the detection result of the welding line to be judged more accurately and reliably.
Fig. 5 is a schematic structural diagram of a weld detection system of a hydraulic support according to a second embodiment of the present disclosure.
As shown in fig. 5, the welding seam detection system of the hydraulic support comprises a host machine and a plurality of detectors, wherein the detectors comprise a sweep frequency light source, a circulator, a fiber grating and a communication module,
the detector is arranged at the welding line position of the hydraulic support and is communicated with the host based on the communication module; after receiving the test signal sent by the host, the detector sends light waves with preset bandwidth to the fiber bragg grating through the circulator based on the sweep frequency light source, determines a detection result of the welding line according to the reflection spectrum corresponding to the reflected waves, and then sends the detection result to the host through the communication module.
The system further comprises an optical splitter and an isolator, wherein the detector is used for enabling the light wave with the preset bandwidth to pass through the isolator and the 1xN optical splitter so as to divide the light wave into N paths, and N is a positive integer. In order to meet the requirement of large-scale fiber bragg grating measurement, a schematic diagram of a multiplexing system combining wavelength division multiplexing and space division multiplexing is provided.
As shown in fig. 6, after the isolator, the light source is uniformly divided into N paths by the 1*N splitter, the different splitters sense the sensor array with the rear end connected in series, and the signals are returned to the photoelectric detection array through the circulators of the splitters, are subjected to photoelectric conversion in the sensor signals in the sensing field, and are finally acquired by the a/D and transmitted to the upper computer for demodulation. In the process, the optical splitter is used for replacing the optical switch to perform space division multiplexing, and the triggering signal of the laser is synchronously acquired with the sensing signal through the data acquisition card, so that the requirement of simultaneous demodulation of multiple paths of sensing can be met, and the smooth implementation of the project can be effectively ensured.
In order to achieve the above embodiment, the present disclosure further provides a welding seam detection device of a hydraulic support.
Fig. 7 is a block diagram of a welding seam detection device of a hydraulic support according to a third embodiment of the present disclosure.
As shown in fig. 7, the welding seam detection device 700 of the hydraulic bracket may include:
the first determining module 710 is configured to determine each hydraulic support to be monitored, where a detector is provided on a weld of the hydraulic support, and a fiber bragg grating sensor and a communication module are provided in the detector;
a sending module 720, configured to send test signals to each of the probes synchronously, and receive probe information and probe identifiers returned by each of the probes through the communication module;
an alignment module 730, configured to perform data alignment on each probe information based on the transmission time of the test signal;
a second determining module 740, configured to determine a detection result of each weld seam based on detection information corresponding to each detector identifier.
Optionally, the fiber grating sensor is a fiber bragg grating sensor, the detection information is the variation of the central wavelength,
the second determining module is specifically configured to:
And determining a detection result of the welding seam corresponding to each detector mark according to the variation of the central wavelength corresponding to each detector mark, wherein the detection result comprises a temperature detection result, a pressure detection result and/or a stress detection result.
Optionally, the second determining module is further configured to:
in response to determining that the temperature detection result of any welding seam does not meet a preset condition, sending a temperature detection instruction to a detector corresponding to any welding seam, so that the detector acquires the current temperature of any welding seam based on a temperature sensor;
and comparing the current temperature with the temperature detection result of any welding seam to judge whether the temperature detection result is qualified or not.
Optionally, the second determining module further includes:
a first determining unit configured to determine reference information associated with each of the probe identifications, wherein the reference information includes temperature reference information and strain reference information;
the generating unit is used for comparing the detection result of each welding seam corresponding to any hydraulic support to be monitored with corresponding reference information to generate a welding seam statistical result related to the hydraulic support to be monitored;
The comparison unit is used for comparing the similarity between the weld joint statistical result and the reference result;
and the second determining unit is used for determining that any hydraulic bracket to be monitored is in an abnormal state if the similarity is smaller than a preset threshold value.
Optionally, the first determining unit is specifically configured to:
determining the environment temperature and the environment humidity of a current scene at the current moment, and a temperature interval and a humidity interval respectively corresponding to the environment temperature and the environment humidity;
and acquiring reference information corresponding to the temperature interval and the humidity interval based on a preset mapping relation.
Optionally, the first determining unit is specifically configured to:
determining the corresponding action characteristics of any hydraulic support to be monitored at the detection moment;
and acquiring reference information associated with the action feature and each detector identifier.
In the embodiment of the disclosure, firstly, each hydraulic support to be monitored is determined, wherein a detector is arranged on a welding line of the hydraulic support, a fiber bragg grating sensor and a communication module are arranged in the detector, then test signals are synchronously sent to each detector, detection information and a detector identifier returned by each detector through the communication module are received, then data alignment is carried out on each detection information based on the sending time of the test signals, and finally the detection result of each welding line is determined based on the detection information corresponding to each detector identifier. Therefore, detection results of all welding seams on all hydraulic supports to be monitored can be obtained in a wireless communication mode, large manpower and material resources can be saved, accuracy of welding seam detection can be guaranteed, and the intelligent degree is higher. The welding seam detection is performed in a fiber grating sensor mode, the detection efficiency is higher, the accuracy is better, the fiber grating sensor has a wide application prospect in the field of hydraulic support monitoring, the maintenance efficiency and quality of the hydraulic support can be effectively improved, and the effect is obvious.
To achieve the above embodiments, the present disclosure further proposes a computer device including: the welding seam detection method of the hydraulic support comprises a memory, a processor and a computer program which is stored in the memory and can run on the processor, wherein the processor realizes the welding seam detection method of the hydraulic support according to the previous embodiment of the disclosure when executing the program.
In order to implement the above-mentioned embodiments, the present disclosure also proposes a non-transitory computer-readable storage medium storing a computer program which, when executed by a processor, implements a method for detecting a weld of a hydraulic bracket as proposed in the foregoing embodiments of the present disclosure.
In order to implement the above-mentioned embodiments, the present disclosure also proposes a computer program product which, when executed by an instruction processor in the computer program product, performs the weld detection method of the hydraulic mount as proposed in the foregoing embodiments of the present disclosure.
FIG. 8 illustrates a block diagram of an exemplary computer device suitable for use in implementing embodiments of the present disclosure. The computer device 12 shown in fig. 8 is merely an example and should not be construed as limiting the functionality and scope of use of the disclosed embodiments.
As shown in FIG. 8, the computer device 12 is in the form of a general purpose computing device. Components of computer device 12 may include, but are not limited to: one or more processors or processing units 16, a system memory 28, a bus 18 that connects the various system components, including the system memory 28 and the processing units 16.
Bus 18 represents one or more of several types of bus structures, including a memory bus or memory controller, a peripheral bus, an accelerated graphics port, a processor, and a local bus using any of a variety of bus architectures. By way of example, and not limitation, such architectures include industry Standard architecture (Industry Standard Architecture; hereinafter ISA) bus, micro channel architecture (Micro Channel Architecture; hereinafter MAC) bus, enhanced ISA bus, video electronics standards Association (Video Electronics Standards Association; hereinafter VESA) local bus, and peripheral component interconnect (Peripheral Component Interconnection; hereinafter PCI) bus.
Computer device 12 typically includes a variety of computer system readable media. Such media can be any available media that is accessible by computer device 12 and includes both volatile and nonvolatile media, removable and non-removable media.
Memory 28 may include computer system readable media in the form of volatile memory, such as random access memory (Random Access Memory; hereinafter: RAM) 30 and/or cache memory 32. The computer device 12 may further include other removable/non-removable, volatile/nonvolatile computer system storage media. By way of example only, storage system 34 may be used to read from or write to non-removable, nonvolatile magnetic media (not shown in FIG. 8, commonly referred to as a "hard disk drive"). Although not shown in fig. 8, a magnetic disk drive for reading from and writing to a removable non-volatile magnetic disk (e.g., a "floppy disk"), and an optical disk drive for reading from or writing to a removable non-volatile optical disk (e.g., a compact disk read only memory (Compact Disc Read Only Memory; hereinafter CD-ROM), digital versatile read only optical disk (Digital Video Disc Read Only Memory; hereinafter DVD-ROM), or other optical media) may be provided. In such cases, each drive may be coupled to bus 18 through one or more data medium interfaces. Memory 28 may include at least one program product having a set (e.g., at least one) of program modules configured to carry out the functions of the various embodiments of the disclosure.
A program/utility 40 having a set (at least one) of program modules 42 may be stored in, for example, memory 28, such program modules 42 including, but not limited to, an operating system, one or more application programs, other program modules, and program data, each or some combination of which may include an implementation of a network environment. Program modules 42 generally perform the functions and/or methods in the embodiments described in this disclosure.
The computer device 12 may also communicate with one or more external devices 14 (e.g., keyboard, pointing device, display 24, etc.), one or more devices that enable a user to interact with the computer device 12, and/or any devices (e.g., network card, modem, etc.) that enable the computer device 12 to communicate with one or more other computing devices. Such communication may occur through an input/output (I/O) interface 22. Moreover, the computer device 12 may also communicate with one or more networks such as a local area network (Local Area Network; hereinafter LAN), a wide area network (Wide Area Network; hereinafter WAN) and/or a public network such as the Internet via the network adapter 20. As shown, network adapter 20 communicates with other modules of computer device 12 via bus 18. It should be appreciated that although not shown, other hardware and/or software modules may be used in connection with computer device 12, including, but not limited to: microcode, device drivers, redundant processing units, external disk drive arrays, RAID systems, tape drives, data backup storage systems, and the like.
The processing unit 16 executes various functional applications and data processing by running programs stored in the system memory 28, for example, implementing the methods mentioned in the foregoing embodiments.
In the description of the present specification, a description referring to terms "one embodiment," "some embodiments," "examples," "specific examples," or "some examples," etc., means that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the present disclosure. In this specification, schematic representations of the above terms are not necessarily directed to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples. Furthermore, the different embodiments or examples described in this specification and the features of the different embodiments or examples may be combined and combined by those skilled in the art without contradiction.
Furthermore, the terms "first," "second," and the like, are used for descriptive purposes only and are not to be construed as indicating or implying a relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defining "a first" or "a second" may explicitly or implicitly include at least one such feature. In the description of the present disclosure, the meaning of "a plurality" is at least two, such as two, three, etc., unless explicitly specified otherwise.
Any process or method descriptions in flow charts or otherwise described herein may be understood as representing modules, segments, or portions of code which include one or more executable instructions for implementing specific logical functions or steps of the process, and additional implementations are included within the scope of the preferred embodiment of the present disclosure in which functions may be executed out of order from that shown or discussed, including substantially concurrently or in reverse order, depending on the functionality involved, as would be understood by those reasonably skilled in the art of the embodiments of the present disclosure.
Logic and/or steps represented in the flowcharts or otherwise described herein, e.g., a ordered listing of executable instructions for implementing logical functions, can be embodied in any computer-readable medium for use by or in connection with an instruction execution system, apparatus, or device, such as a computer-based system, processor-containing system, or other system that can fetch the instructions from the instruction execution system, apparatus, or device and execute the instructions. For the purposes of this description, a "computer-readable medium" can be any means that can contain, store, communicate, propagate, or transport the program for use by or in connection with the instruction execution system, apparatus, or device. More specific examples (a non-exhaustive list) of the computer-readable medium would include the following: an electrical connection (electronic device) having one or more wires, a portable computer diskette (magnetic device), a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber device, and a portable compact disc read-only memory (CDROM). In addition, the computer readable medium may even be paper or other suitable medium on which the program is printed, as the program may be electronically captured, via, for instance, optical scanning of the paper or other medium, then compiled, interpreted or otherwise processed in a suitable manner, if necessary, and then stored in a computer memory.
It should be understood that portions of the present disclosure may be implemented in hardware, software, firmware, or a combination thereof. In the above-described embodiments, the various steps or methods may be implemented in software or firmware stored in a memory and executed by a suitable instruction execution system. As with the other embodiments, if implemented in hardware, may be implemented using any one or combination of the following techniques, as is well known in the art: discrete logic circuits having logic gates for implementing logic functions on data signals, application specific integrated circuits having suitable combinational logic gates, programmable Gate Arrays (PGAs), field Programmable Gate Arrays (FPGAs), and the like.
Those of ordinary skill in the art will appreciate that all or a portion of the steps carried out in the method of the above-described embodiments may be implemented by a program to instruct related hardware, where the program may be stored in a computer readable storage medium, and where the program, when executed, includes one or a combination of the steps of the method embodiments.
Furthermore, each functional unit in the embodiments of the present disclosure may be integrated in one processing module, or each unit may exist alone physically, or two or more units may be integrated in one module. The integrated modules may be implemented in hardware or in software functional modules. The integrated modules may also be stored in a computer readable storage medium if implemented in the form of software functional modules and sold or used as a stand-alone product.
The above-mentioned storage medium may be a read-only memory, a magnetic disk or an optical disk, or the like. Although embodiments of the present disclosure have been shown and described above, it will be understood that the above embodiments are illustrative and not to be construed as limiting the present disclosure, and that variations, modifications, alternatives, and variations may be made to the above embodiments by one of ordinary skill in the art within the scope of the present disclosure.

Claims (10)

1. The welding line detection method of the hydraulic support is characterized by comprising the following steps of:
determining each hydraulic support to be monitored, wherein a detector is arranged on a welding line of the hydraulic support, and a fiber bragg grating sensor and a communication module are arranged in the detector;
synchronously transmitting test signals to each detector and receiving detection information and detector identifications returned by each detector through the communication module;
based on the sending time of the test signal, carrying out data alignment on each detection information;
and determining the detection result of each welding seam based on the detection information corresponding to each detector identifier.
2. The method of claim 1, wherein the step of determining the position of the probe comprises,
the fiber bragg grating sensor is a fiber bragg grating sensor, the detection information is the variation of the central wavelength,
The determining the detection result of each welding seam based on the detection information corresponding to each detector mark comprises the following steps:
and determining a detection result of the welding seam corresponding to each detector mark according to the variation of the central wavelength corresponding to each detector mark, wherein the detection result comprises a temperature detection result, a pressure detection result and/or a stress detection result.
3. The method of claim 1, further comprising, after said determining a detection result for each of said welds based on the detection information corresponding to each of said probe identifications:
in response to determining that the temperature detection result of any welding seam does not meet a preset condition, sending a temperature detection instruction to a detector corresponding to any welding seam, so that the detector acquires the current temperature of any welding seam based on a temperature sensor;
and comparing the current temperature with the temperature detection result of any welding seam to judge whether the temperature detection result is qualified or not.
4. The method of claim 1, further comprising, after said determining a detection result for each of said welds based on the detection information corresponding to each of said probe identifications:
Determining reference information associated with each of the probe identifications, wherein the reference information comprises temperature reference information and strain reference information;
comparing the detection result of each welding seam corresponding to any hydraulic support to be monitored with corresponding reference information to generate a welding seam statistical result related to the hydraulic support to be monitored;
comparing the similarity between the weld joint statistical result and the reference result;
and if the similarity is smaller than a preset threshold value, determining that any hydraulic bracket to be monitored is in an abnormal state.
5. The method of claim 4, wherein said determining the reference information associated with each of the probe identifications comprises:
determining the environment temperature and the environment humidity of a current scene at the current moment, and a temperature interval and a humidity interval respectively corresponding to the environment temperature and the environment humidity;
and acquiring reference information corresponding to the temperature interval and the humidity interval based on a preset mapping relation.
6. The method of claim 4, wherein said determining the reference information associated with each of the probe identifications comprises:
determining the corresponding action characteristics of any hydraulic support to be monitored at the detection moment;
And acquiring reference information associated with the action feature and each detector identifier.
7. A weld joint detection system of a hydraulic support is characterized by comprising a host machine and a plurality of detectors, wherein the detectors comprise a sweep frequency light source, a circulator, a fiber grating and a communication module,
the detector is arranged at the welding line position of the hydraulic support and is communicated with the host based on the communication module;
after receiving the test signal sent by the host, the detector sends light waves with preset bandwidth to the fiber bragg grating through the circulator based on the sweep frequency light source, determines a detection result of the welding seam according to a reflection spectrum corresponding to the reflected waves, and then sends the detection result to the host through the communication module.
8. The system of claim 7, further comprising an optical splitter and isolator, wherein,
the detector is used for enabling the light wave with the preset bandwidth to pass through the isolator and the optical splitter with the bandwidth of 1xN so as to divide the light wave into N paths, wherein N is a positive integer.
9. The utility model provides a welding seam detection device of hydraulic support which characterized in that includes:
The first determining module is used for determining each hydraulic support to be monitored, wherein a detector is arranged on a welding line of the hydraulic support, and a fiber bragg grating sensor and a communication module are arranged in the detector;
the sending module is used for synchronously sending test signals to the detectors and receiving detection information and detector identifications returned by the detectors through the communication module;
the alignment module is used for carrying out data alignment on each detection information based on the sending time of the test signal;
and the second determining module is used for determining the detection result of each welding line based on the detection information corresponding to each detector identifier.
10. The apparatus of claim 9, wherein,
the fiber bragg grating sensor is a fiber bragg grating sensor, the detection information is the variation of the central wavelength,
the second determining module is specifically configured to:
and determining a detection result of the welding seam corresponding to each detector mark according to the variation of the central wavelength corresponding to each detector mark, wherein the detection result comprises a temperature detection result, a pressure detection result and/or a stress detection result.
CN202311466187.XA 2023-11-06 2023-11-06 Weld joint detection method, system and device for hydraulic support Pending CN117630033A (en)

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Application Number Priority Date Filing Date Title
CN202311466187.XA CN117630033A (en) 2023-11-06 2023-11-06 Weld joint detection method, system and device for hydraulic support

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202311466187.XA CN117630033A (en) 2023-11-06 2023-11-06 Weld joint detection method, system and device for hydraulic support

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CN117630033A true CN117630033A (en) 2024-03-01

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