Welding quality monitoring method and apparatus, device, and storage medium
Patent Information
- Application Number
- PCT/CN2025/096335
- Authority / Receiving Office
- WO · WO
- Patent Type
- Applications
- Current Assignee / Owner
- Priority Date
- 2025-02-20
- Filing Date
- 2025-05-21
- Publication Date
- 2026-08-27
Smart Images
Figure CN2025096335_27082026_PF_FP_ABST
Abstract
Description
Welding quality monitoring methods, devices, equipment and storage media
[0001] This application claims priority to Chinese Patent Application No. 202510187391.0, filed on February 20, 2025, the entire contents of which are incorporated herein by reference. Technical Field
[0002] This application relates to the field of welding technology, and for example to a welding quality monitoring method, apparatus, equipment and storage medium. Background Technology
[0003] In modern industrial production, welding technology is widely used in many fields such as pipe welding, shipbuilding, automobile manufacturing, and aerospace. Welding is a manufacturing process and technology that joins metals or other thermoplastic materials by heating, high temperature, or high pressure.
[0004] Welding quality monitoring refers to the assessment and monitoring of the quality of welded joints to determine whether they meet specific standards and requirements, thereby ensuring the safety, reliability, and service life of the welded structure. Traditionally, welding quality monitoring methods have relied primarily on manual observation during welding and monitoring after welding is completed.
[0005] Manual observation is limited by the observer's experience and focus, making it prone to oversights and misjudgments. Furthermore, post-weld inspection is reactive; even if problems are discovered, timely remediation and correction are often difficult. The inability to monitor and adjust welding parameters in real time leads to unstable welding quality, increasing defect and scrap rates, and raising production costs. Summary of the Invention
[0006] This application provides a welding quality monitoring method, apparatus, equipment, and storage medium to avoid the situation of low efficiency and lag in welding quality monitoring.
[0007] On the one hand, this application provides a welding quality monitoring method, including:
[0008] A standard database is constructed based on a standard welding environment, wherein the standard database includes standard values of optical signals corresponding to multiple process types;
[0009] Real-time optical signals of the current welding environment are collected according to a preset cycle. The quality monitoring results of the current welding environment are determined based on the standard database and the real-time optical signals. The quality monitoring results include those that meet the standards and those that do not.
[0010] When the quality monitoring results do not meet the standards, the welding parameters of the current welding environment are adjusted.
[0011] On the other hand, this application also provides a welding quality monitoring device, comprising:
[0012] The database creation module is configured to build a standard database based on a standard welding environment. The standard database includes standard optical signal values corresponding to multiple process types.
[0013] The optical signal acquisition module is configured to acquire real-time optical signals of the current welding environment according to a preset cycle, and determine the quality monitoring results of the current welding environment based on the standard database and the real-time optical signals, wherein the quality monitoring results include those that meet the standards and those that do not meet the standards.
[0014] The parameter adjustment module is configured to adjust the welding parameters of the current welding environment when the quality monitoring result does not meet the standard.
[0015] On the other hand, this application also provides an electronic device, which includes:
[0016] At least one processor;
[0017] and memory that is communicatively connected to at least one processor;
[0018] The memory stores a computer program that can be executed by at least one processor, which enables the at least one processor to perform the welding quality monitoring method described above.
[0019] On the other hand, this application also provides a computer storage medium storing computer instructions, which are used to cause the processor to implement the above-described welding quality monitoring method when executed. Attached Figure Description
[0020] Figure 1 is a flowchart of the welding quality monitoring method provided in Embodiment 1 of this application;
[0021] Figure 2 is a structural schematic diagram of a welding quality monitoring device provided in Embodiment 2 of this application;
[0022] Figure 3 is a structural schematic diagram of a welding device provided in Embodiment 3 of this application;
[0023] Figure 4 is a schematic diagram of the structure of an electronic device for a welding quality monitoring method provided in Embodiment 4 of this application.
[0024] In the diagram: 1. The round tube to be welded; 2. The welding torch; 3. The wire feeding mechanism; 4. The argon gas protection device; 5. The optical signal monitoring device; 6. The power supply. Detailed Implementation
[0025] The technical solutions of the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. The described embodiments are only some, not all, of the embodiments of this application. All other embodiments obtained by those skilled in the art based on the embodiments of this application without creative effort should fall within the scope of protection of this application.
[0026] The terms "first," "second," etc., used in the specification, claims, and accompanying drawings of this application are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence. It should be understood that such data can be interchanged where appropriate so that the embodiments of this application described herein can be implemented in orders other than those illustrated or described herein. Furthermore, the terms "comprising" and "having," and any variations thereof, are intended to cover a non-exclusive inclusion; for example, a process, method, system, product, or apparatus that comprises a series of steps or units is not necessarily limited to those steps or units explicitly listed, but may include other steps or units not explicitly listed or inherent to such processes, methods, products, or apparatus.
[0027] The technical solution of this application will be described below with reference to the accompanying drawings and specific embodiments.
[0028] Example 1
[0029] Figure 1 is a flowchart of a welding quality monitoring method provided in Embodiment 1 of this application. This embodiment is applicable to welding process scenarios. The method can be executed by a welding quality monitoring device, which can be implemented in hardware and / or software and can be configured in the welding equipment controller. As shown in Figure 1, the method includes:
[0030] S110. Construct a standard database based on the standard welding environment. The standard database includes standard values of optical signals corresponding to multiple process types.
[0031] The standard welding environment refers to a normal welding process performed under ideal conditions. This means a working space where temperature and humidity are controlled within suitable ranges, welding equipment is in good working order and operating stably, welding materials are of qualified quality and meet specifications, welding operators possess the appropriate qualifications and skills, and operations are strictly performed in accordance with established welding process specifications, including that parameters such as welding current, voltage, welding speed, and welding angle are all within the prescribed standard ranges.
[0032] In some embodiments, a standard database is constructed to provide a unified and standardized reference system for accurately evaluating and comparing data from actual welding processes. By establishing a standard database, standard values of optical signals under ideal conditions for various welding process types can be integrated, thus providing a clear benchmark for subsequent welding quality monitoring. Across different monitoring scenarios and operators, the standard database enables relatively consistent and reliable judgments, avoiding errors and deviations caused by subjective factors or different measurement methods. It also helps to quickly identify anomalies in the welding process. Comparing the acquired real-time optical signals with the standard values in the database allows for timely detection of deviations that do not meet standards, enabling rapid adjustments and improvements.
[0033] In the welding process, multiple parameters that affect welding quality, such as welding current, arc voltage, welding speed, heat input, and welding temperature, are collectively referred to as welding parameters. Each welding parameter corresponds to a process type. Changing any of the welding parameters constitutes a new process type.
[0034] Optionally, a standard database is constructed based on a standard welding environment, including: acquiring multiple process types input by the user; collecting welding optical signals corresponding to multiple process types based on the standard welding environment; calibrating and digitizing the welding optical signals to generate standard optical signal values, wherein the standard optical signal values include standard light wavelength and standard light intensity; and constructing a standard database based on the correspondence between multiple process types and standard optical signal values.
[0035] In the process of building the standard database, we first obtain multiple process types input by the user because different process types, such as different parameters such as welding current, arc voltage, welding speed, line energy, and welding temperature, will cause different physical and chemical changes in the welding process, resulting in different optical signal characteristics.
[0036] The purpose of calibrating the welding optical signal is to remove interference and errors. For example, during the welding operation, the optical signal data of the current welding process is acquired in real time and temporarily stored in a temporary buffer. After welding is completed, a comprehensive inspection of the welding position is immediately performed using inspection equipment. During the inspection, based on established welding quality standards, the appearance of the weld, such as its shape, size, and surface flatness, is examined using non-destructive testing methods to check for defects such as porosity, slag inclusions, and incomplete penetration in the internal structure. The mechanical properties of the weld joint, such as tensile strength and yield strength, are also evaluated and judged.
[0037] 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 cleaned and organized to remove any possible outliers. Then, the data will be marked as valid data and stored in the standard database as the optical signal standard value corresponding to this process type.
[0038] If the test results show that the welding quality is unqualified, the optical signal acquisition data in the temporary buffer will be marked as invalid and deleted, and will not be included in the standard database. At the same time, the cause of this invalid data will be recorded and analyzed, such as whether it is a welding equipment failure, improper welding parameter settings, or a problem with the welding materials, in order to improve the welding process and enhance the level of quality control in the future.
[0039] S120. Collect real-time optical signals of the current welding environment according to a preset cycle, and determine the quality monitoring results of the current welding environment based on the standard database and the real-time optical signals. The quality monitoring results include those that meet the standards and those that do not.
[0040] Optionally, the quality monitoring results of the current welding environment are determined based on a standard database and real-time optical signals, including: generating real-time feature values based on real-time optical signals, wherein the real-time feature values include real-time optical wavelength and real-time optical intensity; determining the target optical intensity range corresponding to the real-time feature values based on a standard database; determining whether the real-time feature values are within the target optical intensity range; determining that the quality monitoring results meet the standard in response to the real-time feature values being within the target optical intensity range; and determining that the quality monitoring results do not meet the standard in response to the real-time feature values not being within the target optical intensity range.
[0041] In some embodiments, generating real-time feature values based on real-time optical signals includes: filtering the real-time optical signal using a filter to generate a filtered optical signal; amplifying the filtered optical signal using an amplifier to generate an amplified optical signal; and converting the amplified optical signal into a digital signal to generate real-time feature values.
[0042] Optionally, determining the target light intensity range corresponding to the real-time feature value based on a standard database includes: determining the target process type corresponding to the real-time feature value; matching the target process type with the standard database to obtain the target optical signal standard value corresponding to the target process type; determining multiple target light intensities corresponding to the real-time light wavelength from the target optical signal standard values, and determining the target light intensity range corresponding to the multiple target light intensities.
[0043] The standard database pre-stores a large number of standard values for optical signals of different process types. 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 a target process type is input, the system can quickly obtain the corresponding target optical signal standard value. Next, multiple target light intensities corresponding to the real-time light wavelength are determined. By analyzing and statistically analyzing the light intensity at the real-time light wavelength, a series of target light intensities corresponding to the real-time light wavelength can be obtained. Then, a reasonable range for the target light intensity, i.e., the target light intensity range, is determined. For example, the average value and standard deviation of the light intensity can be calculated, and the average value 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.
[0044] In some embodiments, when determining whether a real-time feature value falls within the target light intensity range, the light intensity value in the real-time feature value is compared with the upper and lower limits of the target light intensity range. This is similar to determining whether a point falls within a given interval on a number line.
[0045] If the light intensity value in the real-time characteristic value is within the target light intensity range, it indicates 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, thus confirming that the quality monitoring results meet the standards.
[0046] Conversely, if the light intensity value in the real-time feature value exceeds the upper or lower limit of the target light intensity range, there may be problems such as excessively high or low energy input, inappropriate welding speed, or abnormal shielding gas flow during the welding process, which may lead to deviations in welding quality. Therefore, the quality monitoring result is determined to be non-compliant with the standard.
[0047] S130. In response to the quality monitoring results indicating non-compliance with standards, adjust the welding parameters of the current welding environment.
[0048] Optionally, adjusting the welding parameters of the current welding environment includes: reducing the welding current in the welding parameters according to a preset rule when the real-time light intensity is higher than the target light intensity range; and increasing 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.
[0049] During welding, the welding current affects the heat input and light signal generation. When the real-time light intensity exceeds the target light intensity range, the welding current increases, the movement of charged particles in the arc intensifies, and the generated heat increases, resulting in enhanced light intensity. Excessive heat input during the current welding process may lead to quality problems such as excessively wide welds, excessive penetration, and burn-through.
[0050] Reducing the current decreases the energy input in the electric arc. According to Joule's law (Q = I²Rt, where Q is heat, I is current, R is resistance, and t is time), reducing the current directly leads to a reduction in heat. This lowers the temperature during welding, reducing over-melting and evaporation, allowing the light intensity to gradually return to the target range and ensuring welding quality.
[0051] Conversely, when the real-time light intensity is lower than the target light intensity range, it indicates insufficient heat input in the current welding process, which may lead to defects such as incomplete weld fusion and slag inclusions. In this case, the welding current should be increased. Increasing the current will make the charged particles in the arc move more actively, increasing the heat generated by the resistance, thereby raising the temperature of the welding area, increasing the melting and evaporation of the metal, and thus increasing the light intensity until it reaches the target light intensity range.
[0052] The preset rule refers to the fact that while there is a certain non-linear relationship between light intensity and welding current during the welding process, it can be approximated as linear within a certain range. Smaller light intensity deviations usually mean relatively small changes during the welding process, and only minor current adjustments are needed to bring the light intensity back to the target range. When the deviation is within 10%, it is considered a small deviation. In this case, adjusting the welding current by 5% can effectively correct the welding process while avoiding overcorrection due to excessive adjustment.
[0053] When the deviation is between 10% and 20%, it indicates that the deviation during the welding process has increased, requiring more significant adjustments to correct it. In this case, adjust the welding current by 10% to more effectively bring the light intensity closer to the target range.
[0054] When the deviation exceeds 20%, it indicates that there is a significant abnormality in the welding process, requiring a large adjustment, namely a 15% adjustment of the welding current, to quickly change the energy input of the welding and bring the light intensity back to the normal target range as soon as possible.
[0055] In practical applications, it is also necessary to appropriately optimize and adjust the adjustment range in the preset rules according to specific welding materials, weldment shape and size, welding process and other factors, so as to ensure that the preset rules can effectively control and optimize welding quality in different welding scenarios.
[0056] In other embodiments, when the quality monitoring results do not meet the standards, other parameters such as the arc voltage, welding speed, line energy, or welding temperature of the current welding environment can be adjusted, which will not be elaborated here.
[0057] This application embodiment provides a comprehensive and accurate reference standard for subsequent quality monitoring by constructing a standard database, thus providing a clear and definite basis for judging welding quality. Real-time light signals of the current welding environment are collected at preset intervals, ensuring continuous acquisition of real-time light signals during the welding process and guaranteeing the timeliness and consistency of data acquisition. The function of determining the quality monitoring results based on the standard database and real-time light signals enables precise comparison and judgment. By comparing and analyzing the real-time collected data with standard values, it is possible to quickly and accurately determine whether the welding quality meets the standards. When the monitoring results show non-compliance with the standards, welding parameters are adjusted in a timely manner, ensuring timely adjustments when quality problems are discovered and maintaining welding quality. In summary, this application embodiment, through data acquisition, analysis and judgment, and parameter adjustment, achieves real-time monitoring and timely optimization of welding quality throughout the entire process, improving the stability and consistency of welding quality, effectively reducing product losses and cost increases caused by quality problems, and also improving production efficiency and product qualification rate.
[0058] Example 2
[0059] Figure 2 is a structural schematic diagram of a welding quality monitoring device provided in Embodiment 2 of this application. As shown in Figure 2, the device includes:
[0060] The database creation module 210 is configured to build a standard database based on a standard welding environment, wherein the standard database includes standard optical signal values corresponding to multiple process types;
[0061] Optionally, the database creation module 210 includes: a pre-input unit, a data acquisition unit, and a database construction unit. The pre-input unit is configured to acquire multiple process types input by the user; the data acquisition unit is configured to acquire welding optical signals corresponding to multiple process types based on a standard welding environment; and the database construction unit is configured to construct a standard database based on the correspondence between multiple process types and standard values of optical signals.
[0062] The optical signal acquisition module 220 is configured to acquire real-time optical signals of the current welding environment according to a preset cycle, and determine the quality monitoring results of the current welding environment based on the standard database and the real-time optical signals. The quality monitoring results include those that meet the standards and those that do not.
[0063] Optionally, the optical signal acquisition module 220 includes: an optical signal conversion unit, a data processing unit, and a quality determination unit. The optical signal conversion is configured to generate real-time feature values based on the real-time optical signal, wherein the real-time feature values include real-time optical wavelength and real-time optical intensity. The data processing unit is configured to determine the target optical intensity range corresponding to the real-time feature values based on a standard database. The quality determination unit is configured to determine whether the real-time feature values are within the target optical intensity range; if the real-time feature values are within the target optical intensity range, the quality monitoring result is determined to be compliant with the standard; if the real-time feature values are not within the target optical intensity range, the quality monitoring result is determined to be non-compliant with the standard.
[0064] In some embodiments, the optical signal conversion unit includes a filter, an amplifier, and a digital signal converter. The filter is configured to filter the real-time optical signal to generate a filtered optical signal; the amplifier is configured to amplify the filtered optical signal to generate an amplified optical signal; and the digital signal converter is configured to convert the amplified optical signal into a digital signal to generate real-time feature values.
[0065] In some embodiments, the data processing unit includes a data positioning processor, a data matching processor, and a data determination processor. The data positioning processor is configured to determine the target process type corresponding to a real-time feature value; the data matching processor is configured to match the target process type using a standard database to obtain a target optical signal standard value corresponding to the target process type; and the data determination processor is configured to determine, within the target optical signal standard value, multiple target light intensities corresponding to the real-time optical wavelength, and determine a target light intensity range corresponding to the multiple target light intensities.
[0066] The parameter adjustment module 230 is set to adjust the welding parameters of the current welding environment in response to the quality monitoring result being non-compliant with the standard.
[0067] Optionally, the parameter adjustment module 230 includes: a first execution adjustment unit and a second execution adjustment unit. The first execution adjustment unit is configured to reduce the welding current in the welding parameters according to a preset rule in response to the real-time light intensity being higher than the target light intensity range. The second execution adjustment unit is configured to increase the welding current in the welding parameters according to a preset rule in response to the real-time light intensity being lower than the target light intensity range.
[0068] Example 3
[0069] Figure 3 is a structural schematic diagram of a welding device provided in Embodiment 3 of this application. As shown in Figure 3, the device includes a support assembly and a welding assembly. The support assembly includes a fixing part, which is configured to fix the circular tube 1 to be welded; the welding assembly is connected to the support assembly, and the welding assembly includes a welding torch 2, a wire feeding mechanism 3, an argon gas protection device 4, an optical signal monitoring device 5, and a power supply 6. The output end of the welding torch 2 faces the circular tube 1 to be welded, the wire feeding mechanism 3 is configured to feed the welding wire to the welding position, the argon gas protection device 4 can form an inert gas protective 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 faces the welding position, and the power supply 6 is configured to provide electrical energy.
[0070] The welding apparatus provided in this embodiment is equipped with the welding quality monitoring device provided in Embodiment 2, so that the light signal monitored by the light signal monitoring device 5 at the welding position is analyzed by the welding quality monitoring device to determine the welding quality at the welding position.
[0071] Example 4
[0072] Figure 4 shows a schematic diagram of the structure of an electronic device 10 that can be used to implement embodiments of this application. 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, smartphones, 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 provided as examples.
[0073] As shown in Figure 4, the electronic device 10 includes at least one processor 11 and a memory, such as a read-only memory (ROM) 12 or a random access memory (RAM) 13, communicatively connected to the at least one processor 11. The memory stores computer programs executable by the at least one processor. The processor 11 can perform various appropriate actions and processes based on the computer program stored in the ROM 12 or loaded into the RAM 13 from the storage unit 18. The RAM 13 can also store various programs and data required for the operation of the electronic device 10. The processor 11, ROM 12, and RAM 13 are interconnected via a bus 14. An input / output (I / O) interface 15 is also connected to the bus 14.
[0074] Multiple components in electronic device 10 are connected to I / O interface 15, including: input unit 16, such as keyboard, mouse, etc.; output unit 17, such as various types of displays, speakers, etc.; storage unit 18, such as disk, optical disk, etc.; and communication unit 19, such as network card, modem, wireless transceiver, etc. Communication unit 19 allows electronic device 10 to exchange information / data with other devices through computer networks such as the Internet and / or various telecommunications networks.
[0075] Processor 11 can be various general-purpose and / or special-purpose processing components with processing and computing capabilities. Processor 11 includes a Central Processing Unit (CPU), a Graphics Processing Unit (GPU), various special-purpose Artificial Intelligence (AI) computing chips, various processors running machine learning model algorithms, Digital Signal Processors (DSPs), and any suitable processor, controller, microcontroller, etc. Processor 11 executes the various methods and processes described above, such as a welding quality monitoring method.
[0076] In some embodiments, a welding quality monitoring method may be implemented as a computer program tangibly contained in a computer-readable storage medium, such as storage unit 18. In some embodiments, part or all of the computer program may be loaded and / or installed on electronic device 10 via ROM 12 and / or communication unit 19. When the computer program is loaded into RAM 13 and executed by processor 11, one or more steps of the welding quality monitoring method described above may be performed. In other embodiments, processor 11 may be configured to perform a welding quality monitoring method by any other suitable means (e.g., by means of firmware).
[0077] Various embodiments 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-chip (SoCs), complex programmable logic devices (CPLDs), computer hardware, firmware, software, and / or combinations thereof. These various embodiments may include implementations in one or more computer programs that can be executed and / or interpreted on a programmable system including at least one programmable processor, which may be a dedicated or general-purpose programmable processor, capable of receiving data and instructions from a storage system, at least one input device, and at least one output device, and transmitting data and instructions to the storage system, the at least one input device, and the at least one output device.
[0078] Computer programs used to implement the methods of this application 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, such that when executed by the processor, the computer programs cause the functions / operations specified in the flowcharts and / or block diagrams to be performed. The computer programs may be executed entirely on a machine, partially on a machine, or as a standalone software package, partially on a machine and partially on a remote machine, or entirely on a remote machine or server.
[0079] In the context of this application, a computer-readable storage medium can be a tangible medium that may contain or store a computer program for use by or in conjunction with an instruction execution system, apparatus, or device. A computer-readable storage medium may include electronic, magnetic, optical, electromagnetic, infrared, or semiconductor systems, apparatus, or devices, or any suitable combination of the foregoing. Optionally, a computer-readable storage medium may be a machine-readable signal medium. A machine-readable storage medium may include an electrical connection based on one or more wires, a portable computer disk, a hard disk, RAM, ROM, erasable programmable read-only memory (EPROM or flash memory), optical fiber, compact disc read-only memory (CD-ROM), optical storage devices, magnetic storage devices, or any suitable combination of the foregoing.
[0080] To provide interaction with a user, the systems and techniques described herein can be implemented on an electronic device having: a display device (e.g., a cathode ray tube (CRT) or liquid crystal display (LCD) monitor) for displaying information to the user; and a keyboard and pointing device (e.g., a mouse or trackball) through which the user provides input to the electronic device. Other types of devices can also be used to provide interaction with the user; for example, feedback provided to the user can be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user can be received in any form (including sound input, voice input, or tactile input).
[0081] The systems and technologies described herein can be implemented in computing systems that include backend components (e.g., as data servers), or computing systems that include middleware components (e.g., application servers), or computing systems that include frontend components (e.g., user computers with graphical user interfaces or web browsers through which users can interact with implementations of the systems and technologies described herein), or any combination of such backend, middleware, or frontend components. The components of the system can be interconnected via digital data communication (e.g., communication networks) of any form or medium. Examples of communication networks include local area networks (LANs), wide area networks (WANs), blockchain networks, and the Internet.
[0082] A computing system can include clients and servers. Clients and servers are generally located far apart and typically interact through communication networks. The client-server relationship is created by computer programs running on the respective computers and having a client-server relationship with each other. The server can be a cloud server, also known as a cloud computing server or cloud host, which is a hosting product within the cloud computing service system. It addresses the shortcomings of traditional physical hosts and Virtual Private Server (VPS) services, such as high management difficulty and weak business scalability.
Claims
1. A method for monitoring welding quality, comprising: A standard database is constructed based on a standard welding environment, wherein the standard database includes standard values of optical signals corresponding to multiple process types; Real-time optical signals of the current welding environment are collected according to a preset cycle. The quality monitoring results of the current welding environment are determined based on the standard database and the real-time optical signals. The quality monitoring results include those that meet the standards and those that do not. In response to the quality monitoring result indicating non-compliance with standards, the welding parameters of the current welding environment are adjusted.
2. The welding quality monitoring method of claim 1, wherein, The standard database built based on the standard welding environment includes: Obtain multiple process types input by the user; Welding optical signals corresponding to multiple process types were collected based on a standard welding environment. The welding optical signal is calibrated and digitized to generate a standard optical signal value, wherein the standard optical signal value includes a standard optical wavelength and a standard optical intensity; A standard database is constructed based on the correspondence between multiple process types and optical signal standard values.
3. The weld quality monitoring method of claim 1, wherein, The step of determining the quality monitoring results of the current welding environment based on the standard database and the real-time optical signal includes: Real-time feature values are generated based on the real-time optical signal, wherein the real-time feature values include real-time optical wavelength and real-time optical intensity; The target light intensity range corresponding to the real-time feature value is determined based on the standard database; Determine whether the real-time feature value is within the target light intensity range; If the real-time feature value is within the target light intensity range, the quality monitoring result is determined to meet the standard; if the real-time feature value is not within the target light intensity range, the quality monitoring result is determined to not meet the standard.
4. The welding quality monitoring method of claim 3, wherein, The step of generating real-time feature values based on the real-time optical signal includes: The real-time optical signal is filtered by a filter to generate a filtered optical signal; The filtered optical signal is amplified by an amplifier to generate an amplified optical signal; The amplified optical signal is converted into a digital signal to generate the real-time feature value.
5. The welding quality monitoring method of claim 3, wherein, Determining the target light intensity range corresponding to the real-time feature value based on the standard database includes: Determine the target process type corresponding to the real-time feature value; The target process type is matched using the standard database to obtain the target optical signal standard value corresponding to the target process type; In the standard value of the target optical signal, a plurality of target optical intensities corresponding to the real-time optical wavelength are determined, and a range of target optical intensities corresponding to the plurality of target optical intensities is determined.
6. The welding quality monitoring method of claim 5, wherein, The adjustment of welding parameters in the current welding environment includes: In response to the real-time light intensity being 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 of claim 5, wherein, The adjustment of welding parameters in the current welding environment includes: In response to the real-time light intensity being 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, comprising: The database creation module is configured to build a standard database based on a standard welding environment, wherein the standard database includes standard optical signal values corresponding to multiple process types; The optical signal acquisition module is configured to acquire real-time optical signals of the current welding environment according to a preset cycle, and determine the quality monitoring results of the current welding environment based on the standard database and the real-time optical signals, wherein the quality monitoring results include those that meet the standards and those that do not meet the standards; The parameter adjustment module is configured to adjust the welding parameters of the current welding environment when the quality monitoring result is found to be non-compliant with the standard.
9. An electronic device, comprising: At least one processor; and memory that is communicatively connected to at least one processor; The memory stores a computer program that can be executed by at least one processor, such that the at least one processor can perform the method of any one of claims 1-7.
10. A computer storage medium storing computer instructions for causing a processor to execute the method of any one of claims 1-7.