Welding quality monitoring method, device and equipment and storage medium

Abstract

The invention discloses a welding quality monitoring method, device and equipment and a storage medium, and belongs to the technical field of welding, the welding quality monitoring method comprises the steps that a standard database is built based on a standard welding environment, and the standard database comprises optical signal standard values corresponding to all process types; real-time optical signals of the current welding environment are collected according to a preset period, quality monitoring results of the current welding environment are determined according to the standard database and the real-time optical signals, and the quality monitoring results comprise standard conformance and non-standard conformance; and when the quality monitoring result is that the standard is not met, welding parameters of the current welding environment are adjusted. Through data acquisition, analysis and judgment and parameter adjustment, whole-course real-time monitoring and timely optimization of the welding quality are realized, the stability and consistency of the welding quality are improved, product loss and cost increase caused by quality problems are effectively reduced, and meanwhile, the production efficiency and the product percent of pass are also improved.

Description

Technical Field

[0001] The present invention relates to the field of welding technology, and in particular to a welding quality monitoring method, device, equipment and storage medium. Background Art

[0002] In modern industrial production, welding technology is widely used in many fields such as pipeline welding, shipbuilding, automobile manufacturing, aerospace, etc. Welding is a manufacturing process and technology that joins metals or other thermoplastic materials by heating, high temperature or high pressure.

[0003] Welding quality monitoring refers to the evaluation and monitoring of the quality of welded joints to determine whether they meet specific standards and requirements to ensure the safety, reliability and service life of welded structures. For a long time, traditional welding quality monitoring methods have mainly relied on manual observation during welding and monitoring after welding is completed.

[0004] Manual observation is limited by the observer's experience and concentration, and is prone to omissions and misjudgments. Moreover, post-welding inspection is a post-inspection, and even if problems are found, it is often difficult to remedy and correct them in a timely manner. The inability to monitor and adjust welding parameters in real time leads to unstable welding quality, increased defective and scrap rates, and higher production costs. Summary of the invention

[0005] The purpose of the present invention is to provide a welding quality monitoring method, device, equipment and storage medium to solve the technical problems existing in the prior art of monitoring welding quality by manual observation, resulting in low efficiency and lag.

[0006] As conceived above, the technical solution adopted by the present invention is:

[0007] In one aspect, the present invention provides a welding quality monitoring method, comprising:

[0008] Building a standard database based on a standard welding environment, wherein the standard database includes standard values ​​of optical signals corresponding to each process type;

[0009] Collecting a real-time optical signal of the current welding environment according to a preset period, and determining a quality monitoring result of the current welding environment according to the standard database and the real-time optical signal, wherein the quality monitoring result includes compliance with the standard and non-compliance with the standard;

[0010] When the quality monitoring result does not meet the standard, the welding parameters of the current welding environment are adjusted.

[0011] Preferably, the construction of a standard database based on a standard welding environment includes: obtaining each process type input by a user; respectively collecting welding light signals corresponding to each process type based on the standard welding environment; proofreading and digitally processing the welding light signals to generate a standard value of the light signal, wherein the standard value of the light signal includes a standard light wavelength and a standard light intensity; and constructing a standard database according to the correspondence between each process type and the standard value of the light signal.

[0012] Preferably, determining the quality monitoring result of the current welding environment according to the standard database and the real-time optical signal includes: generating a real-time characteristic value according to the real-time optical signal, wherein the real-time characteristic value includes a real-time light wavelength and a real-time light intensity; determining a target light intensity range corresponding to the real-time characteristic value based on the standard database; judging whether the real-time characteristic value is within the target light intensity range, and if so, determining that the quality monitoring result is in compliance with the standard; otherwise, determining that the quality monitoring result is not in compliance with the standard.

[0013] Preferably, generating a real-time characteristic value based on the real-time optical signal includes: filtering the real-time optical signal through a filter to generate a filtered optical signal; amplifying the filtered optical signal through an amplifier to generate an amplified optical signal; and converting the amplified optical signal into a digital signal to generate the real-time characteristic value.

[0014] Preferably, determining the target light intensity range corresponding to the real-time characteristic value based on the standard database includes: determining the target process type corresponding to the real-time characteristic value; matching the target process type through the standard database to obtain a target light signal standard value corresponding to the target process type; determining, among the target light signal standard values, each target light intensities corresponding to the real-time light wavelength, and determining a target light intensity range corresponding to each target light intensities.

[0015] Preferably, the adjusting the welding parameters of the current welding environment includes: when the real-time light intensity is higher than the target light intensity range, reducing the welding current in the welding parameters according to a preset rule.

[0016] Preferably, the adjusting the welding parameters of the current welding environment includes: when the real-time light intensity is lower than the target light intensity range, increasing the welding current in the welding parameters according to a preset rule.

[0017] On the other hand, the present invention also provides a welding quality monitoring device, comprising:

[0018] A database creation module, used to construct a standard database based on a standard welding environment, wherein the standard database includes standard values ​​of optical signals corresponding to each process type;

[0019] An optical signal acquisition module, used for acquiring real-time optical signals of the current welding environment according to a preset period, and determining a quality monitoring result of the current welding environment according to the standard database and the real-time optical signals, wherein the quality monitoring result includes compliance with the standard and non-compliance with the standard;

[0020] The parameter adjustment module is used to adjust the welding parameters of the current welding environment when the quality monitoring result does not meet the standard.

[0021] In another aspect, the present invention further provides an electronic device, the electronic device comprising:

[0022] at least one processor;

[0023] and a memory communicatively coupled to the at least one processor;

[0024] The memory stores a computer program that can be executed by at least one processor, and the computer program is executed by at least one processor so that the at least one processor can execute the method of any one of claims 1 to 7.

[0025] On the other hand, the present invention further provides a computer storage medium, which stores computer instructions, and the computer instructions are used to implement the above-mentioned welding quality monitoring method when executed by a processor.

[0026] Beneficial effects of the present invention:

[0027] The technical solution of the embodiment of the present invention provides a comprehensive and accurate reference standard for subsequent quality monitoring by constructing a standard database, so that there is a clear and definite basis for judging the welding quality. The real-time optical signal of the current welding environment is collected according to the preset period, and the real-time optical signal in the welding process can be continuously obtained, which ensures the timeliness and consistency of data collection. The function of determining the quality monitoring result according to the standard database and the real-time optical signal realizes accurate comparison and judgment. By comparing and analyzing the real-time collected data with the standard value, it can be quickly and accurately determined whether the welding quality meets the standard. When the monitoring result is not up to standard, the welding parameters are adjusted in time to ensure that they can be adjusted in time when quality problems are found to ensure welding quality. In summary, the technical solution realizes real-time monitoring and timely optimization of welding quality from data collection to analysis and judgment, and then to parameter adjustment, improves the stability and consistency of welding quality, effectively reduces product losses and cost increases caused by quality problems, and also improves production efficiency and product qualification rate. BRIEF DESCRIPTION OF THE DRAWINGS

[0028] Figure 1 is a flow chart of a welding quality monitoring method provided in Embodiment 1 of the present invention;

[0029] Figure 2 is a structural schematic diagram of a welding quality monitoring device provided in Embodiment 2 of the present invention;

[0030] Figure 3 is a structural schematic diagram of a welding device provided in Embodiment 3 of the present invention;

[0031] Figure 4 It is a structural schematic diagram of an electronic device of a welding quality monitoring method provided in a fourth embodiment of the present invention.

[0032] In the figure:

[0033] 1. Round pipe to be welded; 2. Welding gun; 3. Wire feeding mechanism; 4. Argon gas protection equipment; 5. Optical signal monitoring equipment; 6. Power supply. DETAILED DESCRIPTION

[0034] In order to enable those skilled in the art to better understand the scheme of the present invention, the technical scheme in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work should fall within the scope of protection of the present invention.

[0035] It should be noted that the terms "first", "second", etc. in the specification and claims of the present invention and the above-mentioned drawings are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence. It should be understood that the data used in this way can be interchanged where appropriate, so that the embodiments of the present invention described herein can be implemented in an order other than those illustrated or described herein. In addition, the terms "including" and "having" and any variations thereof are intended to cover non-exclusive inclusions, for example, a process, method, system, product or device that includes a series of steps or units is not necessarily limited to those steps or units that are clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods, products or devices.

[0036] The technical solution of the present invention is further described below with reference to the accompanying drawings and through specific implementation methods.

[0037] Embodiment 1

[0038] Figure 1A flowchart of a welding quality monitoring method is provided for the first embodiment of the present invention. This embodiment is applicable to the scene of the welding process. The method can be executed by a welding quality monitoring device. The welding quality monitoring device can be implemented in the form of hardware and / or software. The welding quality monitoring device can be configured in a welding equipment controller. Figure 1 As shown, the method includes:

[0039] S110. Construct a standard database based on a standard welding environment, wherein the standard database includes standard values ​​of optical signals corresponding to each process type.

[0040] The standard welding environment is a normal welding process under ideal conditions, that is, a working space where the temperature and humidity are controlled within an appropriate range, the welding equipment has good performance and operates stably, the welding materials are of qualified quality and meet the specifications, the welding operators have the corresponding qualifications and skilled skills, and operate in strict accordance with the established welding process specifications, including welding current, voltage, welding speed, welding angle and other parameters are within the specified standard range.

[0041] Specifically, the construction of a standard database is to provide a unified and standard reference system for accurately evaluating and comparing data in the actual welding process. By establishing a standard database, the standard values ​​of optical signals of various welding process types under ideal conditions can be integrated, thereby providing a clear measurement benchmark for subsequent welding quality monitoring. In different monitoring scenarios and operators, relatively consistent and reliable judgment results can be obtained based on the standard database, avoiding errors and deviations caused by subjective factors or different measurement methods. Helps to quickly identify abnormal conditions in the welding process. By comparing the collected real-time optical signals with the standard values ​​of optical signals in the database, deviations that do not meet the standards can be discovered in a timely manner, so that measures can be taken quickly to make adjustments and improvements.

[0042] Among them, in the welding process, the parameters that affect the welding quality, such as welding current, arc voltage, welding speed, wire energy, welding temperature, etc., are collectively referred to as welding parameters, and each welding parameter corresponds to a process type. If any parameter in the welding parameters is changed, it is called a new process type.

[0043] Optionally, a standard database is constructed based on a standard welding environment, including: obtaining each process type input by a user; respectively collecting welding light signals corresponding to each process type based on the standard welding environment; proofreading and digitally processing the welding light signals to generate standard values ​​of light signals, wherein the standard values ​​of light signals include standard light wavelengths and standard light intensities; and constructing a standard database according to the correspondence between each process type and the standard values ​​of light signals.

[0044] In the process of building a standard database, the process types input by the user are first obtained. This is because different process types, such as different parameters such as welding current, arc voltage, welding speed, wire energy, welding temperature, etc., will cause different physical and chemical changes in the welding process, and thus the generated optical signal characteristics will also be different.

[0045] The purpose of calibrating the welding optical signal is to remove interference and errors. Specifically, during the welding operation, the optical signal data of the current welding process is collected in real time and temporarily stored in a temporary buffer. After the welding is completed, the welding position is immediately fully inspected using detection equipment. During the inspection process, according to the established welding quality standards, the appearance of the weld, such as the shape, size, surface flatness, etc. of the weld, the internal structure is checked for defects such as pores, slag inclusions, and incomplete penetration through non-destructive testing methods, and the mechanical properties of the weld joint, such as tensile strength and yield strength, are evaluated and determined.

[0046] If the test results show that the welding quality is qualified, the optical signal acquisition data stored in the temporary buffer will be extracted, and further data cleaning and sorting will be performed to remove a small number of possible abnormal values, and then it will be marked as valid data and stored in the standard database as the optical signal standard value corresponding to the process type.

[0047] If the test results show that the welding quality is unqualified, the optical signal acquisition data in the temporary buffer will be directly marked as invalid and deleted, and will not be included in the standard database. At the same time, the cause of the invalid data is recorded and analyzed, such as welding equipment failure, improper welding parameter settings, or welding material problems, so as to improve the welding process and quality control level in the future.

[0048] S120, collecting real-time optical signals of the current welding environment according to a preset period, and determining a quality monitoring result of the current welding environment according to a standard database and the real-time optical signals, wherein the quality monitoring result includes compliance with the standard and non-compliance with the standard;

[0049] Optionally, the quality monitoring result of the current welding environment is determined according to the standard database and the real-time light signal, including: generating a real-time characteristic value according to the real-time light signal, wherein the real-time characteristic value includes the real-time light wavelength and the real-time light intensity; determining a target light intensity range corresponding to the real-time characteristic value based on the standard database; judging whether the real-time characteristic value is within the target light intensity range, and if so, determining that the quality monitoring result is in compliance with the standard; otherwise, determining that the quality monitoring result is not in compliance with the standard.

[0050] Specifically, generating a real-time characteristic value based on a real-time optical signal includes: filtering the real-time optical signal through a filter to generate a filtered optical signal; amplifying the filtered optical signal through an amplifier to generate an amplified optical signal; and converting the amplified optical signal into a digital signal to generate a real-time characteristic value.

[0051] Optionally, determining a target light intensity range corresponding to a real-time characteristic value based on a standard database includes: determining a target process type corresponding to the real-time characteristic value; matching the target process type through a standard database to obtain a target light signal standard value corresponding to the target process type; determining, in the target light signal standard value, each target light intensities corresponding to the real-time light wavelength, and determining a target light intensity range corresponding to each target light intensity.

[0052] Among them, a large number of standard values ​​of optical signals of different process types are pre-stored in the standard database. The matching process is similar to searching for specific information in a large data warehouse. The data in the standard database is classified and organized according to key attributes such as process type. When the target process type is input, the system can quickly obtain the corresponding target optical signal standard value. After that, the target light intensities corresponding to the real-time light wavelength are further determined. By analyzing and counting the light intensity of the real-time light wavelength, a series of target light intensities corresponding to the real-time light wavelength can be obtained. Then, the reasonable range of the target light intensity, that is, the target light intensity range, is determined. For example, the mean and standard deviation of the light intensity can be calculated, and the mean plus or minus a certain multiple of the standard deviation can be used as the upper and lower limits of the target light intensity range.

[0053] Specifically, when determining whether the real-time characteristic value is within the target light intensity range, the light intensity value in the real-time characteristic value is compared with the upper and lower limits of the target light intensity range. This is similar to determining whether a point on a number axis falls within a given interval.

[0054] If the light intensity value in the real-time characteristic value is within the target light intensity range, it means that the light signal generated by the current welding process meets the expected standard range. This is because light intensity is closely related to physical and chemical processes such as energy release and weld formation during welding. When the light intensity is within the normal range, it usually means that key parameters such as welding temperature and molten pool state are also within the normal range, so that the quality monitoring results can be determined to meet the standards.

[0055] On the contrary, if the light intensity value in the real-time characteristic value exceeds the upper or lower limit of the target light intensity range, there may be problems such as excessive or low energy input, inappropriate welding speed, abnormal shielding gas flow, etc. in the welding process, which may cause deviations in welding quality, so the quality monitoring result is determined to be non-compliant.

[0056] S130. When the quality monitoring result is not up to standard, adjust the welding parameters of the current welding environment.

[0057] Optionally, adjusting the welding parameters of the current welding environment includes: when the real-time light intensity is higher than the target light intensity range, reducing the welding current in the welding parameters according to a preset rule; when the real-time light intensity is lower than the target light intensity range, increasing the welding current in the welding parameters according to a preset rule.

[0058] During the welding process, the welding current can affect the heat input and light signal generation during the welding process. When the real-time light intensity is higher than the target light intensity range, the welding current increases, the movement of charged particles in the arc intensifies, and the heat generated increases, which leads to an increase in light intensity. The heat input in the current welding process is too high, which may lead to quality problems such as too wide welds, too deep penetration, and burn-through.

[0059] Reducing the current will reduce the energy input in the arc. According to Joule's law (Q = I 2 Rt, where Q is heat, I is current, R is resistance, and t is time). The reduction of current will directly lead to the reduction of heat. This can reduce the temperature during the welding process, reduce the phenomenon of excessive melting and evaporation, and gradually return the light intensity to the target light intensity range to ensure the welding quality.

[0060] On the contrary, when the real-time light intensity is lower than the target light intensity range, it indicates that the heat input in the current welding process is insufficient, and defects such as incomplete weld fusion and slag inclusion may occur. At this time, increase the welding current. Increasing the current will make the charged particles in the arc move more actively, increase the heat generated by the resistance, and then increase the temperature of the welding area, increase the melting and evaporation of the metal, and increase the light intensity until it reaches the target light intensity range.

[0061] The preset rule means that during the welding process, there is a certain nonlinear relationship between light intensity and welding current, but within a certain range, it can be approximately considered to be linearly related. Smaller light intensity deviations usually mean relatively small changes in the welding process, and only a small current adjustment is needed to return the light intensity to the target range. When the deviation is within 10%, it is considered a small deviation. At this time, adjusting the welding current by 5% can not only effectively correct the welding process, but also avoid overcorrection due to excessive adjustment.

[0062] When the deviation is between 10% and 20%, it means that the deviation in the welding process has increased and a larger adjustment is needed to correct it. At this time, the welding current is adjusted by 10% to more effectively push the light intensity closer to the target range.

[0063] When the deviation exceeds 20%, it indicates that a major abnormality has occurred in the welding process and a larger adjustment is required, that is, a 15% welding current adjustment range, to quickly change the welding energy input and return the light intensity to the normal target range as soon as possible.

[0064] It should be noted that in actual applications, it is also necessary to appropriately optimize and adjust the adjustment range in the preset rules according to specific welding materials, weldment shapes and sizes, welding processes and other factors to ensure that the preset rules can effectively control and optimize welding quality in different welding scenarios.

[0065] In other embodiments, when the quality monitoring result is not up to standard, other parameters such as arc voltage, welding speed, wire energy or welding temperature of the current welding environment may also be adjusted, which will not be elaborated here.

[0066] Embodiment 2

[0067] Figure 2 This is a schematic diagram of the structure of a welding quality monitoring device provided in Embodiment 2 of the present invention. Figure 2 As shown, the device comprises:

[0068] A database creation module 210, for constructing a standard database based on a standard welding environment, wherein the standard database includes standard values ​​of optical signals corresponding to each process type;

[0069] Optionally, the database creation module 210 specifically includes: a pre-input unit, a data acquisition unit and a database construction unit. The pre-input unit is used to obtain each process type input by the user; the data acquisition unit is used to collect welding light signals corresponding to each process type based on a standard welding environment; and the database construction unit is used to construct a standard database according to the correspondence between each process type and the standard value of the light signal.

[0070] The optical signal acquisition module 220 is used to collect the real-time optical signal of the current welding environment according to a preset period, and determine the quality monitoring result of the current welding environment according to the standard database and the real-time optical signal, wherein the quality monitoring result includes compliance with the standard and non-compliance with the standard;

[0071] Optionally, the optical signal acquisition module 220 specifically includes: an optical signal conversion unit, a data processing unit, and a quality determination unit. The optical signal conversion unit is used to generate a real-time characteristic value according to the real-time optical signal, wherein the real-time characteristic value includes the real-time optical wavelength and the real-time optical intensity; the data processing unit is used to determine the target optical intensity range corresponding to the real-time characteristic value based on the standard database; the quality determination unit is used to determine whether the real-time characteristic value is within the target optical intensity range, and if so, determine that the quality monitoring result is in compliance with the standard; otherwise, determine that the quality monitoring result is not in compliance with the standard.

[0072] Specifically, the optical signal conversion unit includes a filter, an amplifier and a digital signal converter. The filter is used to filter the real-time optical signal to generate a filtered optical signal; the amplifier is used to amplify the filtered optical signal to generate an amplified optical signal; the digital signal converter is used to convert the amplified optical signal into a digital signal to generate a real-time characteristic value.

[0073] Specifically, the data processing unit includes a data positioning processor, a data matching processor and a data determination processor. The data positioning processor is used to determine the target process type corresponding to the real-time characteristic value; the data matching processor is used to match the target process type through a standard database to obtain a target optical signal standard value corresponding to the target process type; the data determination processor is used to determine each target light intensity corresponding to the real-time light wavelength in the target optical signal standard value, and determine the target light intensity range corresponding to each target light intensity.

[0074] The parameter adjustment module 230 is used to adjust the welding parameters of the current welding environment when the quality monitoring result does not meet the standards.

[0075] Optionally, the parameter adjustment module 230 specifically includes: a first execution adjustment unit and a second execution adjustment unit. The first execution adjustment unit is used to reduce the welding current in the welding parameter according to a preset rule when the real-time light intensity is higher than the target light intensity range. The second execution adjustment unit is used to increase the welding current in the welding parameter according to a preset rule when the real-time light intensity is lower than the target light intensity range.

[0076] Embodiment 3

[0077] Figure 3 This is a schematic diagram of the structure of a welding device provided in Embodiment 3 of the present invention. Figure 3 As shown, the device includes a support assembly and a welding assembly. The support assembly includes a fixing part, which is used to fix the round pipe 1 to be welded; the welding assembly is connected to the support assembly, and the welding assembly includes a welding gun 2, a wire feeding mechanism 3, an argon protection device 4, an optical signal monitoring device 5 and a power supply 6. The output end of the welding gun 2 is directly opposite to the round pipe 1 to be welded, the wire feeding mechanism 3 is used to transport the welding wire to the welding position, and the argon protection device 4 can form an inert gas protection atmosphere at the welding position to prevent the weld metal from being oxidized and nitrided at high temperature; the detection end of the optical signal monitoring device 5 is directly opposite to the welding position, and the power supply 6 is used to provide electrical energy.

[0078] It can be understood that the welding device provided in this embodiment is configured with the welding quality monitoring device provided in the second embodiment, so that the optical signal monitored by the optical signal monitoring device 5 at the welding position is analyzed by the welding quality monitoring device to judge the welding quality at the welding position.

[0079] Embodiment 4

[0080] Figure 4 A schematic diagram of the structure of an electronic device 10 that can be used to implement an embodiment of the present invention is shown. The electronic device is intended to represent various forms of digital computers, such as laptop computers, desktop computers, workstations, personal digital assistants, servers, blade servers, mainframe computers, and other suitable computers. The electronic device can also represent various forms of mobile devices, such as personal digital assistants, cellular phones, smart phones, wearable devices (such as helmets, glasses, watches, etc.) and other similar computing devices. The components shown herein, their connections and relationships, and their functions are merely examples and are not intended to limit the implementation of the present invention described and / or required herein.

[0081] like Figure 4 As shown, the electronic device 10 includes at least one processor 11, and a memory connected to the at least one processor 11, such as a read-only memory (ROM) 12, a random access memory (RAM) 13, etc., wherein the memory stores a computer program that can be executed by at least one processor, and the processor 11 can perform various appropriate actions and processes according to the computer program stored in the read-only memory (ROM) 12 or the computer program loaded from the storage unit 18 to the random access memory (RAM) 13. In the RAM 13, various programs and data required for the operation of the electronic device 10 can also be stored. The processor 11, the ROM 12, and the RAM 13 are connected to each other through a bus 14. An input / output (I / O) interface 15 is also connected to the bus 14.

[0082] A number of components in the electronic device 10 are connected to the I / O interface 15, including: an input unit 16, such as a keyboard, a mouse, etc.; an output unit 17, such as various types of displays, speakers, etc.; a storage unit 18, such as a disk, an optical disk, etc.; and a communication unit 19, such as a network card, a modem, a wireless communication transceiver, etc. The communication unit 19 allows the electronic device 10 to exchange information / data with other devices through a computer network such as the Internet and / or various telecommunication networks.

[0083] The processor 11 may be a variety of general and / or special processing components with processing and computing capabilities. Some examples of the processor 11 include, but are not limited to, a central processing unit (CPU), a graphics processing unit (GPU), various special artificial intelligence (AI) computing chips, various processors running machine learning model algorithms, a digital signal processor (DSP), and any appropriate processor, controller, microcontroller, etc. The processor 11 executes the various methods and processes described above, such as a welding quality monitoring method.

[0084] In some embodiments, a welding quality monitoring method can be implemented as a computer program, which is tangibly contained in a computer-readable storage medium, such as a storage unit 18. In some embodiments, part or all of the computer program can be loaded and / or installed on the electronic device 10 via the ROM 12 and / or the communication unit 19. When the computer program is loaded into the RAM 13 and executed by the processor 11, one or more steps of a welding quality monitoring method described above can be performed. Alternatively, in other embodiments, the processor 11 can be configured to perform a welding quality monitoring method in any other appropriate manner (for example, by means of firmware).

[0085] Various implementations of the systems and techniques described above herein can be implemented in digital electronic circuit systems, integrated circuit systems, field programmable gate arrays (FPGAs), application specific integrated circuits (ASICs), application specific standard products (ASSPs), systems on chips (SOCs), load programmable logic devices (CPLDs), computer hardware, firmware, software, and / or combinations thereof. These various implementations can include: being implemented in one or more computer programs that can be executed and / or interpreted on a programmable system including at least one programmable processor, which can be a special purpose or general purpose programmable processor that can receive data and instructions from a storage system, at least one input device, and at least one output device, and transmit data and instructions to the storage system, the at least one input device, and the at least one output device.

[0086] Computer programs for implementing the methods of the present invention may be written in any combination of one or more programming languages. These computer programs may be provided to a processor of a general-purpose computer, a special-purpose computer, or other programmable data processing device, so that when the computer program is executed by the processor, the functions / operations specified in the flow chart and / or block diagram are implemented. The computer program may be executed entirely on the machine, partially on the machine, partially on the machine and partially on a remote machine as a stand-alone software package, or entirely on a remote machine or server.

[0087] In the context of the present invention, a computer-readable storage medium may be a tangible medium that may contain or store a computer program for use by or in combination with an instruction execution system, device or equipment. A computer-readable storage medium may include, but is not limited to, electronic, magnetic, optical, electromagnetic, infrared, or semiconductor systems, devices or equipment, or any suitable combination of the foregoing. Alternatively, a computer-readable storage medium may be a machine-readable signal medium. A more specific example of a machine-readable storage medium may include an electrical connection based on one or more lines, a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.

[0088] To provide interaction with a user, the systems and techniques described herein may be implemented on an electronic device having: a display device (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to the user; and a keyboard and a pointing device (e.g., a mouse or trackball) through which the user can provide input to the electronic device. Other types of devices may also be used to provide interaction with the user; for example, the feedback provided to the user may be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user may be received in any form (including acoustic input, voice input, or tactile input).

[0089] The systems and techniques described herein may be implemented in a computing system that includes backend components (e.g., as a data server), or a computing system that includes middleware components (e.g., an application server), or a computing system that includes frontend components (e.g., a user computer with a graphical user interface or a web browser through which a user can interact with implementations of the systems and techniques described herein), or a computing system that includes any combination of such backend components, middleware components, or frontend components. The components of the system may be interconnected by any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include: a local area network (LAN), a wide area network (WAN), a blockchain network, and the Internet.

[0090] A computing system may include a client and a server. The client and the server are generally remote from each other and usually interact through a communication network. The client and server relationship is generated by computer programs running on the corresponding computers and having a client-server relationship with each other. The server may be a cloud server, also known as a cloud computing server or cloud host, which is a host product in the cloud computing service system to solve the defects of difficult management and weak business scalability in traditional physical hosts and VPS services.

[0091] It should be understood that the various forms of processes shown above can be used to reorder, add or delete steps. For example, the steps described in the present invention can be executed in parallel, sequentially or in different orders, as long as the desired results of the technical solution of the present invention can be achieved, and this document does not limit this.

[0092] The above specific implementations do not constitute a limitation on the protection scope of the present invention. It should be understood by those skilled in the art that various modifications, combinations, sub-combinations and substitutions can be made according to design requirements and other factors. Any modification, equivalent substitution and improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.

Claims

1. A welding quality monitoring method, characterized in that: include: Building a standard database based on a standard welding environment, wherein the standard database includes standard values ​​of optical signals corresponding to each process type; Collecting a real-time optical signal of the current welding environment according to a preset period, and determining a quality monitoring result of the current welding environment according to the standard database and the real-time optical signal, wherein the quality monitoring result includes compliance with the standard and non-compliance with the standard; When the quality monitoring result does not meet the standard, the welding parameters of the current welding environment are adjusted.

2. The welding quality monitoring method according to claim 1, characterized in that: The standard database is constructed based on the standard welding environment, including: Get each process type input by the user; Based on the standard welding environment, respectively collect welding light signals corresponding to each process type; Calibrate and digitize the welding light signal to generate a light signal standard value, wherein the light signal standard value includes a standard light wavelength and a standard light intensity; A standard database is constructed according to the corresponding relationship between each of the process types and the standard value of the optical signal.

3. The welding quality monitoring method according to claim 1, characterized in that: Determining the quality monitoring result of the current welding environment according to the standard database and the real-time optical signal includes: Generating a real-time characteristic value according to the real-time optical signal, wherein the real-time characteristic value includes a real-time optical wavelength and a real-time optical intensity; Determine a target light intensity range corresponding to the real-time characteristic value based on the standard database; Determine whether the real-time characteristic value is within the target light intensity range. If so, determine that the quality monitoring result meets the standard; otherwise, determine that the quality monitoring result does not meet the standard.

4. The welding quality monitoring method according to claim 3, characterized in that: Generating a real-time characteristic value according to the real-time optical signal comprises: filtering the real-time optical signal through a filter to generate a filtered optical signal; amplifying the filtered optical signal by an amplifier to generate an amplified optical signal; The amplified optical signal is converted into a digital signal to generate the real-time characteristic value.

5. The welding quality monitoring method according to claim 3, characterized in that: The determining, based on the standard database, a target light intensity range corresponding to the real-time characteristic value comprises: Determining a target process type corresponding to the real-time characteristic value; Matching the target process type through the standard database to obtain a target optical signal standard value corresponding to the target process type; In the target light signal standard value, each target light intensity corresponding to the real-time light wavelength is determined, and a target light intensity range corresponding to each target light intensity is determined.

6. The welding quality monitoring method according to claim 5, characterized in that: The step of adjusting the welding parameters of the current welding environment includes: When the real-time light intensity is higher than the target light intensity range, the welding current in the welding parameters is reduced according to a preset rule.

7. The welding quality monitoring method according to claim 5, characterized in that: The step of adjusting the welding parameters of the current welding environment includes: When the real-time light intensity is lower than the target light intensity range, the welding current in the welding parameters is increased according to a preset rule.

8. A welding quality monitoring device, characterized in that: include: A database creation module, used to construct a standard database based on a standard welding environment, wherein the standard database includes standard values ​​of optical signals corresponding to each process type; An optical signal acquisition module, used for acquiring real-time optical signals of the current welding environment according to a preset period, and determining a quality monitoring result of the current welding environment according to the standard database and the real-time optical signals, wherein the quality monitoring result includes compliance with the standard and non-compliance with the standard; The parameter adjustment module is used to adjust the welding parameters of the current welding environment when the quality monitoring result does not meet the standard.

9. An electronic device, characterized in that: Electronic equipment includes: at least one processor; and a memory communicatively coupled to the at least one processor; The memory stores a computer program that can be executed by at least one processor, and the computer program is executed by at least one processor so that the at least one processor can execute the method of any one of claims 1 to 7.

10. A computer storage medium, characterized in that: The computer storage medium stores computer instructions, and the computer instructions are used to implement any one of the methods of claims 1-7 when the processor executes the computer instructions.

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