Welding monitoring method and automatic welding device

Abstract

The invention relates to the field of welding monitoring, and discloses a welding monitoring method and an automatic welding device.The welding monitoring method comprises the following steps that welding process data and welding monitoring images of welding equipment are collected, state information of the welding equipment is obtained according to the welding process data, and if the state of the welding equipment is abnormal, a control module generates a welding monitoring container; a welding device welding image is matched according to the welding device information and is sent to the welding monitoring container; and the monitoring scheme generation module generates a monitoring scheme according to the parameter monitoring information and the corresponding parameter monitoring weight information and sends the monitoring scheme to the monitoring display module, and the monitoring display module carries out display page division according to the monitoring scheme and carries out welding state monitoring display. According to the method, the running state of the welding equipment and the dynamic change of the welding process can be comprehensively and accurately reflected, and comprehensive data support is provided for monitoring of the welding quality.

Description

Technical Field

[0001] The invention relates to the field of welding monitoring, in particular to a welding monitoring method and an automatic welding device. Background Art

[0002] In modern industrial manufacturing, welding, as an important connection technology, is widely used in many fields such as automobiles, aerospace, construction, bridges, etc. The quality of the welding process directly affects the structural strength, safety and service life of the product. Therefore, real-time monitoring of the welding process and timely detection and handling of abnormal conditions in welding are crucial to ensure product quality and production efficiency.

[0003] Traditional welding monitoring mainly relies on manual observation or simple instrument indication, which has many limitations. On the one hand, manual monitoring is easily affected by factors such as fatigue and distraction, making it difficult to continuously and accurately monitor subtle changes in the welding process; on the other hand, traditional instruments can only provide limited welding parameter information, such as current and voltage, and cannot fully reflect the overall status of the welding equipment and the dynamic changes in the welding process.

[0004] With the rapid development of computer technology, image processing technology and Internet of Things technology, intelligent welding monitoring systems have gradually become a research hotspot. Although some existing intelligent welding monitoring systems can realize real-time monitoring and data recording of welding parameters, they still have shortcomings in the comprehensiveness of monitoring, intelligence and flexibility of abnormal handling. For example, some systems can only monitor a single welding parameter, and when multiple parameters are abnormal at the same time, they cannot effectively distinguish and handle them; some systems lack targeted monitoring solutions when abnormalities occur, resulting in low monitoring efficiency; and some systems have fixed monitoring interfaces and cannot dynamically adjust the display content according to the welding status, affecting the intuitiveness and effectiveness of monitoring.

[0005] Therefore, there is an urgent need for a welding monitoring system and method that can comprehensively and intelligently monitor the welding process, dynamically adjust the monitoring mode according to the welding status, and provide targeted monitoring solutions to improve welding quality, ensure production safety, and improve production efficiency. Summary of the invention

[0006] The purpose of the present invention is to overcome the deficiencies of the prior art and provide a welding monitoring method, comprising the following steps: Step 1: Collect welding process data and welding monitoring images of welding equipment, obtain status information of welding equipment according to welding process data, and if the status of welding equipment is abnormal, proceed to step 2; Step 2: The control module generates a welding monitoring container, matches the welding image of the welding equipment according to the welding equipment information, and sends it to the welding monitoring container; the control module obtains the monitoring mode according to the welding state information, and if it is a single parameter monitoring mode, it proceeds to step 3; if it is a multi-parameter monitoring mode, it proceeds to step 4; Step 3: Send the welding status information to the welding monitoring container. The welding monitoring container obtains the welding image data corresponding to the abnormal parameters in the welding database according to the abnormal parameters in the welding image and the status information of the welding equipment, generates a monitoring plan, and sends it to the monitoring display module, and then proceeds to step 6; Step 4: The control module generates monitoring containers corresponding to the abnormal parameters according to the multiple abnormal parameters in the welding state information, connects the monitoring containers corresponding to the abnormal parameters to the welding monitoring container, and the welding monitoring container obtains welding image data corresponding to the parameter information in the welding database according to the welding image and the monitoring container corresponding to the abnormal parameters, generates parameter monitoring information, and sends it to the monitoring scheme generation module, and then enters step 5; Step 5: The monitoring plan generation module generates a monitoring plan based on the parameter monitoring information and the corresponding parameter monitoring weight information, and sends it to the monitoring display module, and then proceeds to step 6; Step six: the monitoring display module divides the display pages according to the monitoring plan and performs welding status monitoring and display.

[0007] Furthermore, the collection of welding process data and welding monitoring images of welding equipment includes: The welding process data includes welding current, voltage, welding speed, welding equipment posture and welding equipment infrared image; the welding monitoring image is a panoramic image.

[0008] Furthermore, obtaining welding status information according to welding process data includes: The welding status information is obtained according to the welding process data. If all welding process data are normal, the welding status is normal; if a single welding process data is abnormal, it is a single parameter abnormality, and the welding status is a single parameter status; if multiple parameters are abnormal, the welding status is a multi-parameter status.

[0009] Furthermore, the control module generates a welding monitoring container, matches the welding equipment welding image according to the welding equipment information, and sends the image to the welding monitoring container, including: The control module obtains the device information of the abnormal state monitoring device, generates a welding monitoring container according to the device information, obtains the corresponding welding image of the welding device according to the device information, and sends it to the welding monitoring container.

[0010] Furthermore, the control module obtains a monitoring mode according to the welding state information, including: If the welding status information indicates that a single parameter is abnormal, it is in single parameter monitoring mode; if the welding status information indicates that multiple parameters are abnormal, it is in multi-parameter monitoring mode.

[0011] Furthermore, the welding monitoring container obtains welding image data corresponding to abnormal parameters in the welding database according to abnormal parameters in the welding image and the status information of the welding equipment, generates a monitoring plan, and sends it to the monitoring display module, including: According to the abnormal parameters in the status information, the welding image area information corresponding to the abnormal parameters is obtained in the welding database, and a monitoring plan is formed according to the welding image area information and the abnormal parameters.

[0012] Furthermore, the monitoring containers corresponding to the abnormal parameters are connected to the welding monitoring container, and the welding monitoring container obtains welding image data corresponding to the parameter information in the welding database according to the welding image and the monitoring container corresponding to the abnormal parameters, and generates parameter monitoring information respectively, including: According to the abnormal parameters in the status information, the welding image area information corresponding to the abnormal parameters is obtained in the welding database. According to the welding image area information and the parameter monitoring information constituting the corresponding abnormal parameters, all the parameter monitoring information corresponding to the abnormal parameters constitutes the parameter monitoring information.

[0013] Furthermore, the monitoring scheme generating module generates a monitoring scheme according to the parameter monitoring information and the corresponding parameter monitoring weight information, including: According to the sum of the weights of each abnormal parameter in the parameter monitoring information and the weight of the abnormal parameter, the monitoring page ratio corresponding to the abnormal parameter is obtained. All the abnormal parameter monitoring information and the corresponding web page monitoring page ratio constitute a monitoring plan.

[0014] Furthermore, the monitoring display module divides the display pages according to the monitoring scheme to perform welding status monitoring display, including: If a single parameter is abnormal, the full-size page will be displayed; If there are multiple parameter anomalies, the monitoring display module divides the monitoring pages according to the proportion of each corresponding abnormal parameter monitoring page in the monitoring plan, and displays the corresponding parameter abnormality monitoring information on the divided corresponding monitoring web pages.

[0015] An automatic welding device, applying the welding monitoring method, comprises a welding process data acquisition device, a data storage module, a welding database, a monitoring scheme generation module, a monitoring display module, a data processing module and a communication module.

[0016] The welding process data acquisition device, data storage module, monitoring scheme generation module, monitoring display module and communication module are respectively connected to the data processing module; the welding database is connected to the communication module; The welding database is used to store welding related information, including the correspondence between equipment parameters, welding process parameters and welding monitoring image areas.

[0017] The beneficial effects of the present invention are: by real-time acquisition of various process data of welding equipment and 360° panoramic monitoring images, it can comprehensively and accurately reflect the operating status of welding equipment and the dynamic changes of welding process, and provide comprehensive data support for monitoring welding quality.

[0018] Through data analysis algorithms and intelligent judgment mechanisms, it can automatically identify the welding status, dynamically adjust the monitoring mode according to the welding status, and provide targeted monitoring solutions for abnormal conditions, greatly improving the intelligence level of welding monitoring.

[0019] The present invention supports two modes: single parameter monitoring and multi-parameter monitoring. It can be flexibly switched according to the actual situation during welding to meet the monitoring needs in different scenarios. At the same time, the monitoring display module can dynamically adjust the display page according to the monitoring scheme, so that the operator can understand the welding status intuitively and quickly. BRIEF DESCRIPTION OF THE DRAWINGS

[0020] Figure 1 A schematic diagram of a welding monitoring method; Figure 2 The figure is a schematic diagram of the principle of an automatic welding device. DETAILED DESCRIPTION

[0021] The technical solution of the present invention is further described in detail below in conjunction with the accompanying drawings, but the protection scope of the present invention is not limited to the following.

[0022] The features and performance of the present invention are further described in detail below in conjunction with the embodiments.

[0023] like Figure 1 As shown, a welding monitoring method comprises the following steps: Step 1: Collect welding process data and welding monitoring images of welding equipment, obtain status information of welding equipment according to welding process data, and if the status of welding equipment is abnormal, proceed to step 2; Step 2: The control module generates a welding monitoring container, matches the welding image of the welding equipment according to the welding equipment information, and sends it to the welding monitoring container; the control module obtains the monitoring mode according to the welding state information, and if it is a single parameter monitoring mode, it proceeds to step 3; if it is a multi-parameter monitoring mode, it proceeds to step 4; Step 3: Send the welding status information to the welding monitoring container. The welding monitoring container obtains the welding image data corresponding to the abnormal parameters in the welding database according to the abnormal parameters in the welding image and the status information of the welding equipment, generates a monitoring plan, and sends it to the monitoring display module, and then proceeds to step 6; Step 4: The control module generates monitoring containers corresponding to the abnormal parameters according to the multiple abnormal parameters in the welding state information, connects the monitoring containers corresponding to the abnormal parameters to the welding monitoring container, and the welding monitoring container obtains welding image data corresponding to the parameter information in the welding database according to the welding image and the monitoring container corresponding to the abnormal parameters, generates parameter monitoring information, and sends it to the monitoring scheme generation module, and then enters step 5; Step 5: The monitoring plan generation module generates a monitoring plan based on the parameter monitoring information and the corresponding parameter monitoring weight information, and sends it to the monitoring display module, and then proceeds to step 6; Step six: the monitoring display module divides the display pages according to the monitoring plan and performs welding status monitoring and display.

[0024] The method of collecting welding process data and welding monitoring images of welding equipment includes: The welding process data includes welding current, voltage, welding speed, welding equipment posture and welding equipment infrared image; the welding monitoring image is a panoramic image.

[0025] The method of obtaining welding status information according to welding process data includes: The welding status information is obtained according to the welding process data. If all welding process data are normal, the welding status is normal; if a single welding process data is abnormal, it is a single parameter abnormality, and the welding status is a single parameter status; if multiple parameters are abnormal, the welding status is a multi-parameter status.

[0026] The control module generates a welding monitoring container, matches the welding equipment welding image according to the welding equipment information and sends it to the welding monitoring container, including: The control module obtains the device information of the abnormal state monitoring device, generates a welding monitoring container according to the device information, obtains the corresponding welding image of the welding device according to the device information, and sends it to the welding monitoring container.

[0027] The control module obtains the monitoring mode according to the welding state information, including: If the welding status information indicates that a single parameter is abnormal, it is in single parameter monitoring mode; if the welding status information indicates that multiple parameters are abnormal, it is in multi-parameter monitoring mode.

[0028] The welding monitoring container obtains welding image data corresponding to abnormal parameters in the welding database according to abnormal parameters in the welding image and the status information of the welding equipment, generates a monitoring plan, and sends it to the monitoring display module, including: According to the abnormal parameters in the status information, the welding image area information corresponding to the abnormal parameters is obtained in the welding database, and a monitoring plan is formed according to the welding image area information and the abnormal parameters.

[0029] The above-mentioned connecting each monitoring container corresponding to the abnormal parameter to the welding monitoring container, the welding monitoring container respectively obtains the welding image data corresponding to the parameter information in the welding database according to the welding image and the monitoring container corresponding to the abnormal parameter, and respectively generates the parameter monitoring information, including: According to the abnormal parameters in the status information, the welding image area information corresponding to the abnormal parameters is obtained in the welding database. According to the welding image area information and the parameter monitoring information constituting the corresponding abnormal parameters, all the parameter monitoring information corresponding to the abnormal parameters constitutes the parameter monitoring information.

[0030] The monitoring scheme generation module generates a monitoring scheme according to the parameter monitoring information and the corresponding parameter monitoring weight information, including: According to the sum of the weights of each abnormal parameter in the parameter monitoring information and the weight of the abnormal parameter, the monitoring page ratio corresponding to the abnormal parameter is obtained. All the abnormal parameter monitoring information and the corresponding web page monitoring page ratio constitute a monitoring plan.

[0031] The monitoring display module divides the display pages according to the monitoring scheme and performs welding status monitoring display, including: If a single parameter is abnormal, the full-size page will be displayed; If there are multiple parameter anomalies, the monitoring display module divides the monitoring pages according to the proportion of each corresponding abnormal parameter monitoring page in the monitoring plan, and displays the corresponding parameter abnormality monitoring information on the divided corresponding monitoring web pages.

[0032] like Figure 2 As shown, an automatic welding device, applying the welding monitoring method, includes a welding process data acquisition device, a data storage module, a welding database, a monitoring scheme generation module, a monitoring display module, a data processing module and a communication module.

[0033] The welding process data acquisition device, data storage module, monitoring scheme generation module, monitoring display module and communication module are respectively connected to the data processing module; the welding database is connected to the communication module; The welding database is used to store welding related information, including the correspondence between equipment parameters, welding process parameters and welding monitoring image areas.

[0034] Specifically, the present invention adopts the following technical solutions: A welding monitoring method comprises the following steps: Step 1: Collect welding process data and welding monitoring images of welding equipment. The welding process data includes but is not limited to welding current, voltage, welding speed, welding equipment posture (such as tilt angle, rotation angle, etc.) and welding equipment infrared image. These data are collected in real time through corresponding sensors and detection equipment, and can fully reflect the operating status of welding equipment and the physical characteristics of welding process.

[0035] The welding monitoring image is a 360° panoramic image, which is obtained through a panoramic camera and can fully display the environment of the welding site and the status of the welding parts, providing intuitive visual information for subsequent abnormal analysis and monitoring plan formulation.

[0036] The status information of the welding equipment is obtained according to the welding process data. The collected welding process data is processed in real time through the data analysis algorithm to determine whether each parameter is within the normal range. If all welding process data are normal, the welding state is normal; if there is a single welding process data abnormality, it is a single parameter abnormality, and the welding state is a single parameter state; if multiple parameters are abnormal, the welding state is a multi-parameter state. If the welding equipment state is abnormal, go to step 2.

[0037] Step 2: The control module generates a welding monitoring container, matches the welding equipment welding image according to the welding equipment information, and sends it to the welding monitoring container. The control module obtains the equipment information of the abnormal state monitoring equipment, such as equipment model and number, and generates a virtual welding monitoring container according to the equipment information, which is used to store and manage the monitoring data and information related to the equipment. At the same time, the control module obtains the corresponding welding equipment welding image from the data storage module or the welding database according to the equipment information, and sends it to the welding monitoring container to provide equipment visual information during monitoring display.

[0038] The control module obtains the monitoring mode according to the welding status information. If the welding status information is a single parameter abnormality, it is determined to be a single parameter monitoring mode, focusing on the monitoring and analysis of the abnormal parameter. If the welding status information is multiple parameter abnormalities, it is determined to be a multi-parameter monitoring mode, and multiple abnormal parameters need to be monitored and processed at the same time. If it is a single parameter monitoring mode, go to step three; if it is a multi-parameter monitoring mode, go to step four.

[0039] Step three, sending the welding status information to the welding monitoring container.

[0040] The welding monitoring container receives and stores welding status information, including specific values ​​of abnormal parameters, abnormal occurrence time, etc. The welding monitoring container obtains welding image data corresponding to abnormal parameters in the welding database according to the abnormal parameters in the welding image and the status information of the welding equipment, generates a monitoring plan, and sends it to the monitoring display module.

[0041] According to the abnormal parameters in the status information, the welding monitoring container queries the welding image area information related to the abnormal parameters in the welding database, such as the welding part and defect type corresponding to the abnormal parameters. Combining the welding image area information and the abnormal parameters, the welding monitoring container generates a monitoring plan including abnormal part annotation, abnormal parameter description, etc., and sends it to the monitoring display module for display. Go to step 6.

[0042] Step 4: The control module generates monitoring containers corresponding to the abnormal parameters according to the multiple abnormal parameters in the welding state information. For multi-parameter abnormal states, the control module generates a monitoring container for each abnormal parameter, which is used to independently store and manage the monitoring data and information related to the parameter. The monitoring containers corresponding to the abnormal parameters are connected to the welding monitoring container. The monitoring containers of each abnormal parameter are connected to the main welding monitoring container to form a multi-level monitoring structure, which is convenient for monitoring and processing multiple abnormal parameters at the same time. The welding monitoring container obtains the welding image data of the corresponding parameter information in the welding database according to the welding image and the monitoring container corresponding to the abnormal parameter, generates parameter monitoring information, and sends it to the monitoring scheme generation module. The welding monitoring container queries and obtains the welding image data related to the parameter in the welding database according to the information in the monitoring container of each abnormal parameter. Combined with the welding image data and the abnormal parameter information, the welding monitoring container generates comprehensive monitoring data containing multiple abnormal parameter monitoring information and sends it to the monitoring scheme generation module. Go to step 5.

[0043] Step 5: The monitoring scheme generation module generates a monitoring scheme based on the parameter monitoring information and the corresponding parameter monitoring weight information. The monitoring scheme generation module receives the parameter monitoring information from the welding monitoring container, and assigns weights to each abnormal parameter according to the preset parameter monitoring weight information (such as the degree of influence of each parameter on the welding quality, the frequency of abnormality, etc.). According to the sum of the weights of each abnormal parameter in the parameter monitoring information and the weight of the abnormal parameter, the monitoring page ratio of the corresponding abnormal parameter is obtained, that is, the proportion of each abnormal parameter in the monitoring display page. All abnormal parameter monitoring information and the corresponding web page monitoring page ratio constitute a complete monitoring scheme. And send it to the monitoring display module to enter step 6.

[0044] Step six: the monitoring display module divides the display pages according to the monitoring plan and performs welding status monitoring and display.

[0045] If a single parameter is abnormal, the monitoring display module uses a full-size page to display the monitoring information of the abnormal parameter, including an image of the abnormal part, the abnormal parameter value, and processing suggestions.

[0046] If there are multiple parameters abnormalities, the monitoring display module divides the monitoring page according to the proportion of each corresponding abnormal parameter monitoring page in the monitoring plan, and displays the corresponding parameter abnormal monitoring information in the divided corresponding monitoring web page area to ensure that each abnormal parameter can receive sufficient attention and display.

[0047] The automatic welding device comprises a welding process data acquisition device, a data storage module, a welding database, a monitoring scheme generation module, a monitoring display module, a data processing module and a communication module.

[0048] The welding process data acquisition device is responsible for real-time acquisition of welding process data and welding monitoring images of welding equipment, and sends the data to the data processing module through the communication module.

[0049] The data storage module is used to store the collected welding process data and monitoring images, as well as other data generated during the operation of the system.

[0050] The welding database is the core data warehouse of the system, which is used to store welding-related information, including equipment parameters, the correspondence between welding process parameters and welding monitoring image areas, abnormal parameter processing suggestions, etc. This information provides basic data support for the system's intelligent analysis and monitoring plan formulation.

[0051] The monitoring plan generation module generates a personalized monitoring plan based on the received parameter monitoring information and parameter monitoring weight information, and sends it to the monitoring display module.

[0052] The monitoring display module is responsible for displaying the monitoring plan in an intuitive and easy-to-understand manner for operators to view and process.

[0053] The data processing module is the core of the system, responsible for receiving, processing and analyzing data from the welding process data acquisition device, as well as data interaction with the data storage module, welding database, monitoring scheme generation module and monitoring display module.

[0054] The communication module is responsible for the communication connection between modules within the system, as well as the communication with external devices (such as welding equipment, sensors, etc.).

[0055] The welding process data acquisition device, data storage module, monitoring scheme generation module, monitoring display module and communication module are respectively connected to the data processing module; the welding database is communicatively connected to the communication module.

[0056] The welding database is used to store welding related information, including the correspondence between equipment parameters, welding process parameters and welding monitoring image areas.

[0057] Example 1: Single parameter abnormality monitoring In an automated welding production line of a certain manufacturing plant, an automatic welding device based on the above welding monitoring method is used to monitor various parameters in the welding process in real time to ensure welding quality.

[0058] Specific implementation steps: Step 1: Data collection and status judgment The welding process data acquisition device collects data such as welding current, voltage, welding speed and the posture (such as tilt angle) of the welding equipment in real time through sensors installed on the welding equipment. At the same time, the panoramic camera captures 360° welding monitoring images.

[0059] After receiving these data, the data processing module uses the data analysis algorithm for real-time processing and finds that the welding current exceeds the preset normal range, while other parameters are normal. The system determines that a single parameter (welding current) is abnormal.

[0060] Step 2: Generate monitoring container and matching image The control module generates a virtual welding monitoring container for the welding equipment according to the abnormal state (abnormal welding current). The control module retrieves the welding monitoring image of the equipment from the data storage module, especially the image of the part that may be related to the abnormal welding current, such as the image of the contact area between the welding gun and the workpiece, and sends it to the welding monitoring container.

[0061] Step 3: Send status information to the monitoring container and generate a monitoring plan The welding monitoring container receives and stores the specific value of the abnormal welding current, the time when the abnormality occurred, and other information. Based on the welding image and abnormal parameters (welding current), the welding monitoring container queries the welding database for relevant welding image area information, such as possible defect types (such as welds that are too wide or too narrow), and generates a monitoring plan that includes abnormal part annotations and abnormal parameter descriptions.

[0062] Step 6: Monitor the display After receiving the monitoring plan, the monitoring display module uses a full-size page to display the monitoring information of the welding current abnormality, because it is a single parameter abnormality, including the image of the abnormal part, the abnormal current value, and processing suggestions (such as adjusting the welding current setting), so that the operator can take quick measures.

[0063] Example 2: Multi-parameter abnormal monitoring During the precision welding process of a certain component, an automatic welding device using the above welding monitoring method is used to ensure the high stability and accuracy of the welding process.

[0064] Specific implementation steps: Step 1: Data collection and status judgment The welding process data acquisition device collects data such as welding current, voltage, welding speed, and infrared images of welding equipment in real time. The panoramic camera provides a 360° image of the welding scene environment. The data processing module analyzes and finds that the welding current and voltage are both out of the normal range, while the welding speed is normal. The system determines that it is a multi-parameter abnormal state.

[0065] Step 2: Generate monitoring container and matching image The control module generates a main welding monitoring container for the multi-parameter abnormal state, and generates two sub-monitoring containers for welding current and voltage abnormalities. The control module retrieves welding monitoring images related to the two abnormal parameters from the welding database, such as the welding gun head heat distribution image (associated infrared image) and the weld formation image, and sends them to the corresponding monitoring containers respectively.

[0066] Step 4: Generate parameter monitoring information The main welding monitoring container queries and obtains welding image data related to welding current and voltage anomalies in the welding database based on the welding image and the information of the two sub-monitoring containers. Combining these data, the main welding monitoring container generates comprehensive monitoring data containing welding current and voltage anomaly monitoring information.

[0067] Step 5: Generate a monitoring plan The monitoring scheme generation module receives the comprehensive monitoring data and assigns weights to each abnormal parameter according to the preset parameter monitoring weight information (considering the influence of current and voltage on welding quality). According to the weights, the proportion of welding current and voltage abnormalities in the monitoring display page is determined, and a monitoring scheme containing the monitoring information of the two abnormal parameters is generated.

[0068] Step 6: Monitor the display The monitoring display module divides the monitoring page into two parts according to the monitoring plan, corresponding to the monitoring information of welding current and voltage abnormalities. Each part displays the abnormal part image, abnormal parameter value, and processing suggestions (such as adjusting the welding current and voltage settings at the same time), ensuring that the operator can fully understand and handle the multi-parameter abnormal status.

Claims

1. A welding monitoring method, characterized in that: The steps include: Step 1: Collect welding process data and welding monitoring images of welding equipment, obtain status information of welding equipment according to welding process data, and if the status of welding equipment is abnormal, proceed to step 2; Step 2: The control module generates a welding monitoring container, matches the welding image of the welding equipment according to the welding equipment information, and sends it to the welding monitoring container; the control module obtains the monitoring mode according to the welding state information, and if it is a single parameter monitoring mode, it proceeds to step 3; if it is a multi-parameter monitoring mode, it proceeds to step 4; Step 3: Send the welding status information to the welding monitoring container. The welding monitoring container obtains the welding image data corresponding to the abnormal parameters in the welding database according to the abnormal parameters in the welding image and the status information of the welding equipment, generates a monitoring plan, and sends it to the monitoring display module, and then proceeds to step 6; Step 4: The control module generates monitoring containers corresponding to the abnormal parameters according to the multiple abnormal parameters in the welding state information, connects the monitoring containers corresponding to the abnormal parameters to the welding monitoring container, and the welding monitoring container obtains welding image data corresponding to the parameter information in the welding database according to the welding image and the monitoring container corresponding to the abnormal parameters, generates parameter monitoring information, and sends it to the monitoring scheme generation module, and then enters step 5; Step 5: The monitoring plan generation module generates a monitoring plan based on the parameter monitoring information and the corresponding parameter monitoring weight information, and sends it to the monitoring display module, and then proceeds to step 6; Step six: the monitoring display module divides the display pages according to the monitoring plan and performs welding status monitoring and display.

2. A welding monitoring method according to claim 1, characterized in that: The method of collecting welding process data and welding monitoring images of welding equipment includes: The welding process data includes welding current, voltage, welding speed, welding equipment posture and welding equipment infrared image; the welding monitoring image is a panoramic image.

3. A welding monitoring method according to claim 2, characterized in that: The method of obtaining welding status information according to welding process data includes: The welding status information is obtained according to the welding process data. If all welding process data are normal, the welding status is normal; if a single welding process data is abnormal, it is a single parameter abnormality, and the welding status is a single parameter status; if multiple parameters are abnormal, the welding status is a multi-parameter status.

4. A welding monitoring method according to claim 3, characterized in that: The control module generates a welding monitoring container, matches the welding equipment welding image according to the welding equipment information and sends it to the welding monitoring container, including: The control module obtains the device information of the abnormal state monitoring device, generates a welding monitoring container according to the device information, obtains the corresponding welding image of the welding device according to the device information, and sends it to the welding monitoring container.

5. A welding monitoring method according to claim 4, characterized in that: The control module obtains the monitoring mode according to the welding state information, including: If the welding status information indicates that a single parameter is abnormal, it is in single parameter monitoring mode; if the welding status information indicates that multiple parameters are abnormal, it is in multi-parameter monitoring mode.

6. A welding monitoring method according to claim 5, characterized in that: The welding monitoring container obtains welding image data corresponding to abnormal parameters in the welding database according to abnormal parameters in the welding image and the status information of the welding equipment, generates a monitoring plan, and sends it to the monitoring display module, including: According to the abnormal parameters in the status information, the welding image area information corresponding to the abnormal parameters is obtained in the welding database, and a monitoring plan is formed according to the welding image area information and the abnormal parameters.

7. A welding monitoring method according to claim 5, characterized in that: The above-mentioned connecting each monitoring container corresponding to the abnormal parameter to the welding monitoring container, the welding monitoring container respectively obtains the welding image data corresponding to the parameter information in the welding database according to the welding image and the monitoring container corresponding to the abnormal parameter, and respectively generates the parameter monitoring information, including: According to the abnormal parameters in the status information, the welding image area information corresponding to the abnormal parameters is obtained in the welding database. According to the welding image area information and the parameter monitoring information constituting the corresponding abnormal parameters, all the parameter monitoring information corresponding to the abnormal parameters constitutes the parameter monitoring information.

8. A welding monitoring method according to claim 7, characterized in that: The monitoring scheme generation module generates a monitoring scheme according to the parameter monitoring information and the corresponding parameter monitoring weight information, including: According to the sum of the weights of each abnormal parameter in the parameter monitoring information and the weight of the abnormal parameter, the monitoring page ratio corresponding to the abnormal parameter is obtained. All the abnormal parameter monitoring information and the corresponding web page monitoring page ratio constitute a monitoring plan.

9. A welding monitoring method according to claim 8, characterized in that: The monitoring display module divides the display pages according to the monitoring scheme and performs welding status monitoring display, including: If a single parameter is abnormal, the full-size page will be displayed; If there are multiple parameter anomalies, the monitoring display module divides the monitoring pages according to the proportion of each corresponding abnormal parameter monitoring page in the monitoring plan, and displays the corresponding parameter abnormality monitoring information on the divided corresponding monitoring web pages.

10. An automatic welding device, characterized in that: A welding monitoring method according to any one of claims 1 to 9 is applied, comprising a welding process data acquisition device, a data storage module, a welding database, a monitoring scheme generation module, a monitoring display module, a data processing module and a communication module; The welding process data acquisition device, data storage module, monitoring scheme generation module, monitoring display module and communication module are respectively connected to the data processing module; the welding database is connected to the communication module; The welding database is used to store welding related information, including the correspondence between equipment parameters, welding process parameters and welding monitoring image areas.

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