CN113702494A - Welding evaluation method, device, equipment and storage medium - Google Patents
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Abstract
The invention belongs to the technical field of arc welding quality evaluation, and discloses a welding evaluation method, a welding evaluation device, welding evaluation equipment and a storage medium. The method comprises the following steps: collecting an electric arc sound signal; denoising the electric arc sound signal to obtain a denoising signal; dividing the de-noised signal into each frame signal; determining the number of rings in the frame according to each frame signal; determining intra-frame energy according to each frame signal; determining the ringing average energy of each frame signal according to the ringing number in the frame and the energy in the frame; determining a welding evaluation index according to the intra-frame ringing number of each frame signal and the ringing average energy of each frame signal; and determining the welding quality according to the welding evaluation index. The method comprises the steps of collecting arc sound signals during welding, denoising and framing the arc sound signals, determining the ringing number in a frame as the total energy, obtaining the ringing number in the frame and the ringing average energy in each frame signal, and finally obtaining an evaluation index for evaluating the welding quality, so as to achieve the purpose of evaluating the welding quality by using the arc sound.
Description
Technical Field
The invention relates to the technical field of arc welding quality evaluation, in particular to a welding evaluation method, a welding evaluation device, welding evaluation equipment and a storage medium.
Background
Welding is one of the main joining processes used in the manufacturing industry, and the quality of welding is of great importance to such industries, particularly in the field of boiler manufacture, pressure vessels, ship structures, and the like. Due to the fact that a large number of random influence factors exist in the welding process, the welding quality cannot be comprehensively guaranteed only through stabilizing technological parameters. Although necessary as a quality assurance system, post-welding inspection does not have real-time performance, and cannot timely find and treat problems occurring in the welding process, and defective welding seams can only be repaired or scrapped.
The above is only for the purpose of assisting understanding of the technical aspects of the present invention, and does not represent an admission that the above is prior art.
Disclosure of Invention
The invention mainly aims to provide a welding evaluation method, a welding evaluation device, welding evaluation equipment and a storage medium, and aims to solve the technical problem that the welding quality cannot be evaluated in the prior art.
To achieve the above object, the present invention provides a welding evaluation method, including the steps of:
collecting an electric arc sound signal;
denoising the electric arc sound signal to obtain a denoising signal;
dividing the de-noised signal into each frame signal;
determining the number of rings in the frame according to each frame signal;
determining intra-frame energy according to each frame signal;
determining the ringing average energy of each frame signal according to the ringing number in the frame and the energy in the frame;
determining a welding evaluation index according to the intra-frame ringing number of each frame signal and the ringing average energy of each frame signal;
and determining the welding quality according to the welding evaluation index.
Optionally, the step of determining the number of rings in the frame according to each frame signal includes:
acquiring a sound pressure threshold;
converting each frame signal into a corresponding pulse signal according to the sound pressure threshold;
determining the pulse interval time of adjacent pulses according to the pulse signal;
and determining the number of rings in a frame according to the pulse interval time, the interval time threshold and the pulse signal.
Optionally, the step of determining the number of rings in a frame according to the pulse interval time, the interval time threshold and the pulse signal includes:
combining adjacent pulses of which the pulse interval time is smaller than an interval time threshold value in the pulse signals to obtain combined pulse signals;
determining the number of rising edges of the pulses according to the combined pulse signal;
and determining the number of rings in a frame according to the number of the rising edges of the pulses.
Optionally, the step of determining the average energy of ringing of each frame signal according to the number of ringing in the frame and the energy in the frame includes:
determining the energy of each frame signal;
and determining the average energy of ringing according to the energy of each frame signal and the number of ringing in each frame of each frame signal.
Optionally, the step of denoising the arc sound signal to obtain a denoised signal includes:
carrying out scale wavelet decomposition on the electric arc sound signals to obtain wavelet coefficients;
performing wavelet threshold processing on each wavelet coefficient to obtain each processed wavelet coefficient;
and performing wavelet coefficient reconstruction on each processed wavelet coefficient to obtain a denoising signal.
Optionally, the step of determining the welding evaluation index according to the number of rings in each frame of signal and the average energy of rings in each frame of signal includes:
determining the ringing number variance of the de-noising signal according to the ringing number in each frame of signal;
determining the energy variance of the de-noising signal according to the ringing average energy of each frame signal;
and determining a welding evaluation index according to the ringing number variance and the energy variance.
Optionally, the step of dividing the denoised signal into frame signals includes:
acquiring a preset frame time;
and dividing the de-noising signal into each frame signal according to the preset frame time.
In order to achieve the above object, the present invention also provides a welding evaluation apparatus including:
the acquisition module is used for acquiring arc sound signals;
the denoising module is used for denoising the electric arc sound signal to obtain a denoising signal;
the framing module is used for dividing the denoising signal into frame signals;
the determining module is further configured to determine the number of rings in the frame according to each frame signal;
the determining module is further configured to determine intra-frame energy according to each frame signal;
the determining module is further configured to determine the average energy of ringing of each frame signal according to the number of ringing in the frame and the energy in the frame;
the determining module is further used for determining a welding evaluation index according to the intra-frame ringing number of each frame signal and the ringing average energy of each frame signal;
the determining module is further used for determining welding quality according to the welding evaluation index.
Further, to achieve the above object, the present invention also proposes a welding evaluation apparatus including: a memory, a processor, and a weld evaluation program stored on the memory and executable on the processor, the weld evaluation program configured to implement the steps of the weld evaluation method as described above.
In addition, to achieve the above object, the present invention also proposes a storage medium having stored thereon a welding evaluation program which, when executed by a processor, implements the steps of the welding evaluation method as described above.
The invention collects the electric arc sound signal; denoising the electric arc sound signal to obtain a denoising signal; dividing the de-noised signal into each frame signal; determining the number of rings in the frame according to each frame signal; determining intra-frame energy according to each frame signal; determining the ringing average energy of each frame signal according to the ringing number in the frame and the energy in the frame; determining a welding evaluation index according to the intra-frame ringing number of each frame signal and the ringing average energy of each frame signal; and determining the welding quality according to the welding evaluation index. By the method, the arc sound signals during welding are collected, the arc sound signals are denoised, the ringing number in the arc sound signals and the energy of each frame signal are determined, the intra-frame ringing number and the ringing average energy in each frame signal are obtained, the evaluation index for evaluating the welding quality is finally obtained, and the purpose of evaluating the welding quality by using the arc sound is achieved.
Drawings
FIG. 1 is a schematic diagram of a welding evaluation device for a hardware operating environment according to an embodiment of the present invention;
FIG. 2 is a schematic flow chart of a first embodiment of the welding evaluation method of the present invention;
FIG. 3 is a schematic view of a weld according to one embodiment of the weld evaluation method of the present invention;
FIG. 4 is a schematic diagram of a ringing signature of one embodiment of a welding evaluation method of the present invention;
FIG. 5 is a flow chart of a ring count statistic for one embodiment of the welding evaluation method of the present invention;
FIG. 6 is a diagram illustrating an original signal and a ring number according to an embodiment of the welding evaluation method of the present invention;
FIG. 7 is a flowchart illustrating an overall processing of an arc sound signal according to an embodiment of the welding evaluation method of the present invention;
fig. 8 is a block diagram showing the configuration of the first embodiment of the welding evaluation apparatus of the present invention.
The implementation, functional features and advantages of the objects of the present invention will be further explained with reference to the accompanying drawings.
Detailed Description
It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
Referring to fig. 1, fig. 1 is a schematic structural diagram of a welding evaluation device in a hardware operating environment according to an embodiment of the present invention.
As shown in fig. 1, the welding evaluation apparatus may include: a processor 1001, such as a Central Processing Unit (CPU), a communication bus 1002, a user interface 1003, a network interface 1004, and a memory 1005. Wherein a communication bus 1002 is used to enable connective communication between these components. The user interface 1003 may include a Display screen (Display), an input unit such as a Keyboard (Keyboard), and the optional user interface 1003 may also include a standard wired interface, a wireless interface. The network interface 1004 may optionally include a standard wired interface, a Wireless interface (e.g., a Wireless-Fidelity (Wi-Fi) interface). The Memory 1005 may be a Random Access Memory (RAM) Memory, or may be a Non-Volatile Memory (NVM), such as a disk Memory. The memory 1005 may alternatively be a storage device separate from the processor 1001.
Those skilled in the art will appreciate that the configuration shown in FIG. 1 does not constitute a limitation of the weld evaluation apparatus and may include more or fewer components than shown, or some components in combination, or a different arrangement of components.
As shown in fig. 1, a memory 1005, which is a storage medium, may include therein an operating system, a network communication module, a user interface module, and a welding evaluation program.
In the welding evaluation device shown in fig. 1, the network interface 1004 is mainly used for data communication with a network server; the user interface 1003 is mainly used for data interaction with a user; processor 1001 and memory 1005 of the welding evaluation apparatus of the present invention may be provided in the welding evaluation apparatus, which calls up a welding evaluation program stored in memory 1005 by processor 1001 and executes a welding evaluation method provided by an embodiment of the present invention.
An embodiment of the present invention provides a welding evaluation method, and referring to fig. 2, fig. 2 is a schematic flow chart of a first embodiment of the welding evaluation method according to the present invention.
In this embodiment, the welding evaluation method includes the steps of:
step S10: and collecting an electric arc sound signal.
It should be appreciated that there has long been a search for ways to obtain more and more direct information reflecting the state of the weld, the quality of the weld, or the weld defects, and to enable on-line identification, evaluation, and monitoring of the weld quality. The electric arc sound signal is derived from the oscillation of a molten pool and the change of electric arc energy, wherein abundant welding state information is contained, and the electric arc sound signal is an important potential source signal for monitoring the quality of a welding process.
The foreign scholars Arata discovered and described the function of the arc sound signal for on-line monitoring of the welding quality in 1979, so that the arc sound signal becomes an important signal welding quality control. The advantages of acoustic signals compared to other welding signals: more sufficient, more dynamic, real-time, non-contact, non-destructive, and can be directly through the characteristics of online equipment direct collection. The electric arc sound signal contains information directly related to electric arc behavior, molten pool and molten drop transition, and the characteristic signal extracted from the electric arc sound signal can be conveniently used for evaluating the stability of the arc welding process and detecting the welding defects under the welding condition. Therefore, the arc acoustic signal has a wide range in monitoring the stability of the welding process, including the aspects of the arc acoustic signal and welding penetration, welding spatter, shielding gas flow, droplet transition, and welding wire dry elongation.
It should be noted that, as shown in fig. 3, the welding equipment is a low-carbon steel bevel pipe, the bevel depth is 1cm, the bottom width is 7mm, the top width is 16mm, and a kenbi welding machine, a wire feeding mechanism and a visual guidance automatic welding vehicle system are adopted; a sensor and a LMS SCADAS II data acquisition front end carry out data acquisition and signal conditioning on welding arc sound signals, the sampling rate is 51.2khz, and the resolution is 12 bits; an 1/2-inch capacitance free field microphone is adopted to sense the arc sound, the frequency response range is 10-20000 HZ, and the sensitivity is 50 mv/pa. The microphone is fixedly welded on the vehicle, and the microphone points to an electric arc and forms an angle of 75 degrees with the plane of the cut, and the distance between the electric arc and the electric arc is about 20 cm. Welding parameters are shown in the following table 1, the welding current is 140A, the vehicle speed of the welding trolley is 12cm/min, the swing is 10mm, the components of protective gas during welding are Ar 82% + CO 218%, the length of a welding wire extending out of a contact tip is 12mm, the diameter of the welding wire is 1.2mm, the welding wire stops laterally for 300ms, and the swing speed is 28 mm/s.
TABLE 1
It should be understood that the main execution body of the embodiment is a terminal device, such as a computer, on which signal acquisition software and signal analysis software can run, where the signal acquisition software may be LMS test.
In the specific implementation, because the arc striking of the welding machine needs a certain starting time for normal work, if the microphone records sound and the welding machine is started at the same time, the microphone collects a section of sound which is not arc striking, so that the subsequent analysis result is influenced, therefore, the sound recording is not performed when the microphone is started, and when the microphone monitors that the current sound pressure is greater than the initial sound pressure threshold value, the sound recording is started.
Step S20: and denoising the electric arc sound signal to obtain a denoising signal.
It can be understood that there will be certain noise in the environment usually, and sound collection equipment will gather the ambient noise, for better analysis electric arc sound signal, the influence of noise elimination to the analysis result needs to be denoised to original electric arc sound signal to obtain the signal of denoising.
Further, in order to obtain a better denoising effect, step S20 includes: carrying out scale wavelet decomposition on the electric arc sound signals to obtain wavelet coefficients; performing wavelet threshold processing on each wavelet coefficient to obtain each processed wavelet coefficient; and performing wavelet coefficient reconstruction on each processed wavelet coefficient to obtain a denoising signal.
In the specific implementation, firstly, a wavelet with N layers is selected to perform wavelet decomposition on an electric arc sound signal to obtain each wavelet coefficient; after wavelet decomposition, quantizing each wavelet coefficient by selecting a proper threshold value and using a threshold value function; and reconstructing a signal by using each processed wavelet coefficient to obtain a de-noising signal.
Step S30: and dividing the de-noised signal into each frame signal.
In addition, since analysis needs to be performed on a frame-by-frame basis when analyzing the welding quality, it is necessary to divide the noise removal signal into frame signals.
Further, for more accurate framing, step S30 includes: acquiring a preset frame time; and dividing the de-noising signal into each frame signal according to the preset frame time.
It can be understood that the preset frame time refers to a playing time of a frame of sound signal, a number of data points of each frame signal can be determined by combining a sampling rate of the denoising signal, the preset frame time can be set to 100ms, and the preset frame time can be corresponding to different requirements, which is not limited in this embodiment.
Step S40: the number of rings in a frame is determined from each frame signal.
It can be appreciated that the arc sounding signal exhibits a "ringing" signal characteristic on the ms time scale, with the ringing characteristic shown in fig. 4, with a period of about 20-30 ms. The arc sound peak signal is composed of oscillation signals which have the maximum peak value and gradually attenuate. The arc sound signal is most related to the change of the arc power, the voltage is rapidly changed in the process of reigniting the arc after the short circuit transition is finished, the current is at the peak value, the change of the arc energy is most violent, so that a ringing signal is triggered, and ringing does not occur at other moments. Therefore, the frequency of the generated ringing phenomenon is determined according to the de-noised signal after the arc sound signal is de-noised, and the ringing number is obtained.
Further, in order to determine the ring number more accurately, step S40 includes: acquiring a sound pressure threshold; converting each frame signal into a corresponding pulse signal according to the sound pressure threshold; determining the pulse interval time of adjacent pulses according to the pulse signal; and determining the number of rings in a frame according to the pulse interval time, the interval time threshold and the pulse signal.
In specific implementation, a sound pressure threshold needs to be preset, and because the sound generated by different welding processes is different, the sound pressure threshold is different when different welding processes are used, and after the corresponding sound pressure threshold is obtained according to the current welding process, the sound pressure in each frame signal is greater than the sound pressure threshold and is set as 1, and the sound pressure less than the sound pressure threshold is set as 0, so that each frame signal is converted into a pulse signal.
In order to obtain a more accurate sound pressure threshold, when obtaining the sound pressure threshold, the arc sound signal is first pre-acquired, and 0.6 times of the ringing peak value in the pre-acquired signal is used as the sound pressure threshold.
Further, in order to determine the number of rings in a frame according to a frame signal, the step of determining the number of rings in the frame according to the pulse interval time, the interval time threshold and the pulse signal includes: combining adjacent pulses of which the pulse interval time is smaller than an interval time threshold value in the pulse signals to obtain combined pulse signals; determining the number of rising edges of the pulses according to the combined pulse signal; and determining the number of rings in a frame according to the number of the rising edges of the pulses.
It should be noted that, for better statistics of the ring number, some pulses with a value of 1 need to be combined, a pulse interval time between adjacent pulse signals with a value of 1 is first determined, and when the pulse interval time is smaller than an interval time threshold, the adjacent pulse signals are combined into the same pulse signal. For example: and the time interval threshold is 5ms, and when the pulse interval time is less than 5ms, adjacent pulse signals with the value of 1 are combined to obtain a combined pulse signal. The time interval threshold of 5ms may be adjusted according to different process parameters, which is only an example and is not limited in this embodiment.
It should be understood that the process of a pulse from zero to one is referred to as the rising edge of the pulse; the process of a pulse going from one to zero is called the falling edge of this pulse. The number of rising edges is determined based on the rising edges of the combined pulse signal, and the number of rings is determined based on the number of rising edges. As shown in fig. 5, after a sound signal is framed, a sound pressure threshold and a time interval threshold are determined, the framed frame signal is converted into a pulse signal only including 0 and 1 according to the sound pressure threshold, the pulse signal is traversed, a time interval of adjacent pulse signals is calculated, and when the time interval is smaller than the time interval threshold, the adjacent pulse signals belong to the same ring, and the pulse signals of the rings are combined. The number of rings is ultimately determined by the rising edge of the pulse. Fig. 6 shows a diagram of a frame signal (original signal) and the number of rings in the frame.
Step S50: the intra-frame energy is determined from the frame signals.
In a specific implementation, the energy of each frame signal needs to be determined first, and an energy calculation formula is as follows:
wherein x isn(m) represents the signal amplitude value of the mth point in the nth frame signal in the de-noised signal, and m belongs to (0,1, 2.., K-1), EnIs the intra-frame energy of the nth frame signal.
Step S60: and determining the ringing average energy of each frame signal according to the ringing number in the frame and the energy in the frame.
It can be understood that, since the number of rings in each frame signal is already determined, and the energy in each frame signal is also already determined, the ring average energy of each frame signal can be determined, and the ring average energy calculation formula is as follows:
Eo＝Enthe second formula,/N;
wherein E isoIs the average energy of ringing, and N is the number of ringing in a frame.
Step S70: and determining a welding evaluation index according to the number of rings in each frame of signal and the average energy of the rings of each frame of signal.
It should be noted that the welding evaluation index is determined by the number of rings in a frame and the average energy of rings, and generally, the more the number of rings in a frame and the average energy of rings in each frame of signal in the de-noised signal tend to be the same, the better the welding quality.
Further, in order to more accurately evaluate the welding quality, step S70 includes: determining the ringing number variance of the de-noising signal according to the ringing number in each frame of signal; determining the energy variance of the de-noising signal according to the ringing average energy of each frame signal; and determining a welding evaluation index according to the ringing number variance and the energy variance.
It can be understood that the average intra-frame ringing number of the intra-frame ringing numbers of each frame signal in the de-noised signal is firstly determined, and then the ringing number variance of the de-noised signal is determined according to the variance formula. Similarly, according to the ringing average energy of each frame signal in the de-noised signal, then calculating the average value of the ringing average energy of all the frame signals, and determining the energy variance of the de-noised signal by using a variance formula.
It should be appreciated that when calculating a welding evaluation index based on the energy variance and the ringing number variance, the weights of the energy variance and the ringing number variance are first determined, for example: the energy variance weight is 0.5, and the ringing number variance weight is 0.5, then the welding evaluation index is obtained according to the formula 0.5 energy variance +0.5 ringing number variance. The above are merely examples, and the present embodiment is not limited thereto.
It can be understood that the overall processing flow of the arc sound signal is as shown in fig. 7, the arc sound signal to be evaluated is firstly obtained, the noise is removed through wavelet, the removed signal is framed according to the time domain, the energy in each frame signal is calculated, the average energy of each ring in the frame is determined according to the number of rings in the frame, and finally the evaluation index is calculated.
Step S80: and determining the welding quality according to the welding evaluation index.
It should be noted that, in general, a smaller value of the welding evaluation index indicates that the arc striking is more even and smooth in the welding process, and the welding quality is better.
The embodiment collects arc sound signals; denoising the electric arc sound signal to obtain a denoising signal; dividing the de-noised signal into each frame signal; determining the number of rings in the frame according to each frame signal; determining intra-frame energy according to each frame signal; determining the ringing average energy of each frame signal according to the ringing number in the frame and the energy in the frame; determining a welding evaluation index according to the intra-frame ringing number of each frame signal and the ringing average energy of each frame signal; and determining the welding quality according to the welding evaluation index. By the method, the arc sound signals during welding are collected, the arc sound signals are denoised, the ringing number in the arc sound signals and the energy of each frame signal are determined, the intra-frame ringing number and the ringing average energy in each frame signal are obtained, the evaluation index for evaluating the welding quality is finally obtained, and the purpose of evaluating the welding quality by using the arc sound is achieved.
Furthermore, an embodiment of the present invention further provides a storage medium having a welding evaluation program stored thereon, where the welding evaluation program is executed by a processor to implement the steps of the welding evaluation method as described above.
Since the storage medium adopts all technical solutions of all the embodiments, at least all the beneficial effects brought by the technical solutions of the embodiments are achieved, and no further description is given here.
Referring to fig. 8, fig. 8 is a block diagram showing the structure of the first embodiment of the welding evaluation apparatus of the present invention.
As shown in fig. 8, a welding evaluation apparatus according to an embodiment of the present invention includes:
the acquisition module 10 is used for acquiring arc sound signals;
the denoising module 20 is configured to denoise the arc sound signal to obtain a denoised signal;
a framing module 30, configured to divide the denoised signal into frame signals;
the determining module 40 is further configured to determine the number of rings in a frame according to each frame signal;
the determining module 40 is further configured to determine intra-frame energy according to each frame signal;
the determining module 40 is further configured to determine the average energy of ringing of each frame signal according to the number of ringing in the frame and the energy in the frame;
the determining module 40 is further configured to determine a welding evaluation index according to the number of rings in each frame of signal and the average energy of rings in each frame of signal;
the determining module 40 is further configured to determine welding quality according to the welding evaluation index.
In an embodiment, the determining module 40 is further configured to obtain an acoustic pressure threshold; converting each frame signal into a corresponding pulse signal according to the sound pressure threshold; determining the pulse interval time of adjacent pulses according to the pulse signal; and determining the number of rings in a frame according to the pulse interval time, the interval time threshold and the pulse signal.
In an embodiment, the determining module 40 is further configured to combine adjacent pulses in the pulse signal, where the pulse interval time is less than an interval time threshold, to obtain a combined pulse signal; determining the number of rising edges of the pulses according to the combined pulse signal; and determining the number of rings in a frame according to the number of the rising edges of the pulses.
In an embodiment, the determining module 40 is further configured to determine an energy of each frame signal; and determining the average energy of ringing according to the energy of each frame signal and the number of ringing in each frame of each frame signal.
In an embodiment, the denoising module 20 is further configured to perform scale wavelet decomposition on the arc sound signal to obtain wavelet coefficients; performing wavelet threshold processing on each wavelet coefficient to obtain each processed wavelet coefficient; and performing wavelet coefficient reconstruction on each processed wavelet coefficient to obtain a denoising signal.
In an embodiment, the determining module 40 is further configured to determine a ringing number variance of the de-noised signal according to an intra-frame ringing number of each frame signal; determining the energy variance of the de-noising signal according to the ringing average energy of each frame signal; and determining a welding evaluation index according to the ringing number variance and the energy variance.
In an embodiment, the framing module 30 is further configured to obtain a preset frame time; and dividing the de-noising signal into each frame signal according to the preset frame time.
It should be understood that the above is only an example, and the technical solution of the present invention is not limited in any way, and in a specific application, a person skilled in the art may set the technical solution as needed, and the present invention is not limited thereto.
The embodiment collects arc sound signals; denoising the electric arc sound signal to obtain a denoising signal; dividing the de-noised signal into each frame signal; determining the number of rings in the frame according to each frame signal; determining intra-frame energy according to each frame signal; determining the ringing average energy of each frame signal according to the ringing number in the frame and the energy in the frame; determining a welding evaluation index according to the intra-frame ringing number of each frame signal and the ringing average energy of each frame signal; and determining the welding quality according to the welding evaluation index. By the method, the arc sound signals during welding are collected, the arc sound signals are denoised, the ringing number in the arc sound signals and the energy of each frame signal are determined, the intra-frame ringing number and the ringing average energy in each frame signal are obtained, the evaluation index for evaluating the welding quality is finally obtained, and the purpose of evaluating the welding quality by using the arc sound is achieved.
It should be noted that the above-described work flows are only exemplary, and do not limit the scope of the present invention, and in practical applications, a person skilled in the art may select some or all of them to achieve the purpose of the solution of the embodiment according to actual needs, and the present invention is not limited herein.
In addition, the technical details that are not described in detail in this embodiment may be referred to the welding evaluation method provided in any embodiment of the present invention, and are not described herein again.
Further, it is to be noted that, in this document, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or system that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or system. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other like elements in a process, method, article, or system that comprises the element.
The above-mentioned serial numbers of the embodiments of the present invention are merely for description and do not represent the merits of the embodiments.
Through the above description of the embodiments, those skilled in the art will clearly understand that the method of the above embodiments can be implemented by software plus a necessary general hardware platform, and certainly can also be implemented by hardware, but in many cases, the former is a better implementation manner. Based on such understanding, the technical solution of the present invention or portions thereof that contribute to the prior art may be embodied in the form of a software product, where the computer software product is stored in a storage medium (e.g. Read Only Memory (ROM)/RAM, magnetic disk, optical disk), and includes several instructions for enabling a terminal device (e.g. a mobile phone, a computer, a server, or a network device) to execute the method according to the embodiments of the present invention.
The above description is only a preferred embodiment of the present invention, and not intended to limit the scope of the present invention, and all modifications of equivalent structures and equivalent processes, which are made by using the contents of the present specification and the accompanying drawings, or directly or indirectly applied to other related technical fields, are included in the scope of the present invention.
Claims (10)
1. A welding evaluation method, characterized by comprising:
collecting an electric arc sound signal;
denoising the electric arc sound signal to obtain a denoising signal;
dividing the de-noised signal into each frame signal;
determining the number of rings in the frame according to each frame signal;
determining intra-frame energy according to each frame signal;
determining the ringing average energy of each frame signal according to the ringing number in the frame and the energy in the frame;
determining a welding evaluation index according to the intra-frame ringing number of each frame signal and the ringing average energy of each frame signal;
and determining the welding quality according to the welding evaluation index.
2. The method of claim 1, wherein said step of determining the number of rings in a frame from each frame signal comprises:
acquiring a sound pressure threshold;
converting each frame signal into a corresponding pulse signal according to the sound pressure threshold;
determining the pulse interval time of adjacent pulses according to the pulse signal;
and determining the number of rings in a frame according to the pulse interval time, the interval time threshold and the pulse signal.
3. The method of claim 2, wherein the step of determining a number of rings in a frame based on the pulse interval time, an interval time threshold, and the pulse signal comprises:
combining adjacent pulses of which the pulse interval time is smaller than an interval time threshold value in the pulse signals to obtain combined pulse signals;
determining the number of rising edges of the pulses according to the combined pulse signal;
and determining the number of rings in a frame according to the number of the rising edges of the pulses.
4. The method of claim 1, wherein said step of determining the average energy of ringing for each frame signal based on the number of rings in the frame and the energy in the frame comprises:
determining the energy of each frame signal;
and determining the average energy of ringing according to the energy of each frame signal and the number of ringing in each frame of each frame signal.
5. The method of claim 1, wherein the step of denoising the arc sound signal to obtain a denoised signal comprises:
carrying out scale wavelet decomposition on the electric arc sound signals to obtain wavelet coefficients;
performing wavelet threshold processing on each wavelet coefficient to obtain each processed wavelet coefficient;
and performing wavelet coefficient reconstruction on each processed wavelet coefficient to obtain a denoising signal.
6. The method of claim 1, wherein said step of determining a welding evaluation indicator based on the number of rings in each frame of signals and the average energy of the rings in each frame of signals comprises:
determining the ringing number variance of the de-noising signal according to the ringing number in each frame of signal;
determining the energy variance of the de-noising signal according to the ringing average energy of each frame signal;
and determining a welding evaluation index according to the ringing number variance and the energy variance.
7. The method of any one of claims 1 to 6, wherein the step of dividing the de-noised signal into frame signals comprises:
acquiring a preset frame time;
and dividing the de-noising signal into each frame signal according to the preset frame time.
8. A welding evaluation device, characterized by comprising:
the acquisition module is used for acquiring arc sound signals;
the denoising module is used for denoising the electric arc sound signal to obtain a denoising signal;
the framing module is used for dividing the denoising signal into frame signals;
the determining module is further configured to determine the number of rings in the frame according to each frame signal;
the determining module is further configured to determine intra-frame energy according to each frame signal;
the determining module is further configured to determine the average energy of ringing of each frame signal according to the number of ringing in the frame and the energy in the frame;
the determining module is further used for determining a welding evaluation index according to the intra-frame ringing number of each frame signal and the ringing average energy of each frame signal;
the determining module is further used for determining welding quality according to the welding evaluation index.
9. A welding evaluation apparatus, characterized in that the apparatus comprises: a memory, a processor, and a welding evaluation program stored on the memory and executable on the processor, the welding evaluation program configured to implement the welding evaluation method of any of claims 1 to 7.
10. A storage medium having stored thereon a welding evaluation program which, when executed by a processor, implements a welding evaluation method according to any one of claims 1 to 7.
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116341966A (en) * | 2023-03-16 | 2023-06-27 | 中国石油大学(北京) | Pipeline girth weld vulnerability evaluation method and device, electronic equipment and storage medium |
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116341966A (en) * | 2023-03-16 | 2023-06-27 | 中国石油大学(北京) | Pipeline girth weld vulnerability evaluation method and device, electronic equipment and storage medium |
| CN116341966B (en) * | 2023-03-16 | 2023-12-22 | 中国石油大学(北京) | Pipeline girth weld vulnerability evaluation method and device, electronic equipment and storage medium |
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