Mechanical welding management system based on artificial intelligence

Abstract

The invention discloses a mechanical welding management system based on artificial intelligence, which relates to the technical field of welding management and comprises a data acquisition module, a scheme generation module, a quality evaluation module, a scheme correction module, a temperature control module, a quality analysis module, a reuse module and an effect index module. The system has the advantages that corresponding remedy methods can be analyzed according to different welding defects through the correction scheme module, correction schemes are generated, the welding defects can be effectively repaired, the final qualified degree of welded objects is improved, the temperature control module can ensure that the welding process is conducted under the proper temperature condition, and the welding quality is improved. The welding quality can be further improved through the pipe quality analysis module, the optimized welding result can be visually understood, reasonable utilization of resources in the welding process can be achieved through the reutilization module, and cost and waste are reduced.

Description

Technical Field

[0001] The present invention relates to the technical field of welding management, and in particular to a mechanical welding management system based on artificial intelligence. Background Art

[0002] Welding, also known as fusion, is a manufacturing process and technology that joins metals or other thermoplastic materials such as plastics by heating, high temperature or high pressure. There are many sources of modern welding, including gas flame, arc, laser, electron beam, friction and ultrasonic. In addition to being used in factories, welding can also be carried out in a variety of environments, such as the field, underwater and space. No matter where it is, welding may bring danger to the operator, so appropriate protective measures must be taken when welding;

[0003] Common mechanical welding management systems often rely on general experience or common repair methods to deal with welding defects when in use. The repair effect is difficult to guarantee. The waste generated during the welding process and the corrective materials needed to repair the defects often cannot fully tap the reuse value of the waste, resulting in a large amount of reusable resources being discarded. For this reason, we propose a mechanical welding management system based on artificial intelligence. Summary of the invention

[0004] The purpose of the present invention is to provide a mechanical welding management system based on artificial intelligence.

[0005] In order to solve the problems raised in the above background technology, the present invention provides the following technical solutions: a mechanical welding management system based on artificial intelligence, comprising a data acquisition module, the data acquisition module can collect welding equipment information and welding material information, and also comprises a solution generation module, a quality assessment module, a correction solution module, a temperature control module and a pipe quality analysis module;

[0006] The plan generation module collects welding material information, analyzes welding methods suitable for different welding materials, generates welding plans, establishes recording units, converts material information into material labels and marks them on welding plans, then extracts welding plans, starts welding equipment according to the welding plans, and performs welding on welding objects;

[0007] The quality assessment module collects the appearance information, non-destructive testing information, mechanical property information and metallographic structure information of the welded items, and then comprehensively evaluates the welded items based on the appearance information, non-destructive testing information, mechanical property information and metallographic structure information to generate original welding information, and analyzes the defects of the welded items to generate welding defect information;

[0008] The correction scheme module is responsible for extracting welding defect information, analyzing the remedial methods of various welding defects, and generating correction schemes accordingly;

[0009] The temperature control module is responsible for collecting welding temperature environment information suitable for different materials, generating environmental welding information, and recording it in the corresponding material unit;

[0010] The pipe quality analysis module extracts environmental welding information and correction plan information, then adjusts the temperature in the welding equipment according to the welding plan information, and then uses the correction plan to weld the welding items to obtain optimized welding items. At this time, the welding quality of the optimized welding items is detected, the optimized welding information is generated, and the effect of the optimized welding information is calculated.

[0011] As a further solution of the present invention: it also includes a reuse module and an effectiveness index module;

[0012] The reuse module extracts the welding scheme, analyzes the waste information generated when the welding scheme is executed, extracts the correction scheme information, extracts the correction material information used in the correction scheme information, and determines the replacement utilization index of the waste information and the correction material information;

[0013] The effectiveness index module extracts the replacement utilization index of the correction plan and the waste information and the correction material information, analyzes the cost of the correction plan, and calculates the effectiveness index of the correction plan based on the cost of the correction plan and the effect of optimizing the welding information.

[0014] As a further solution of the present invention: when generating a welding plan, the plan generation module records the welding plan in a recording unit, wherein the recording unit includes a synchronous folder and an asynchronous folder, the asynchronous folder is established in the synchronous folder, and then the welding plans of different welding materials are split into welding steps, and a synchronous folder is established according to the welding plan, and the synchronization index between the welding machine steps in different synchronous folders is calculated. Suppose the welding step information of the first welding material is D11, D12, D13, ..., D1 B , assuming that the welding step information of the second welding material is D21, D22, D23, ..., D2 B , let the number of steps be converted into a numerical formula Let the synchronization index be T 指数 ;

[0015] When the number of welding steps of the welding material extracted first is higher than that of the welding steps of the welding material extracted later:

[0016]

[0017] When the number of welding steps of the welding material extracted first is less than that of the welding steps of the welding material extracted later:

[0018]

[0019] According to the above formula, the synchronization index can be calculated, and then the synchronization recording threshold is established. Let the synchronization recording threshold be T 阈值 ;

[0020] When T 指数 ≥T 阈值 When the welding step information of the two welding materials is extracted, the same step information is recorded in the synchronous folder, and an asynchronous folder is created in the synchronous folder with the material name as the main keyword, and the different step information of each is recorded in the corresponding asynchronous folder;

[0021] When T 指数 <T 阈值 When the two welding materials are connected, synchronization folders will be created according to the names of the two welding materials, and the corresponding welding step information will be recorded in the corresponding synchronization folders.

[0022] As a further solution of the present invention: after the solution generation module records the welding step information of two welding materials in the synchronization folder, it will re-formulate the calculation formula of the synchronization index, assuming that the welding step information of the third welding material is D31, D32, D33, ..., D3 B Then, the same steps of the first welding step and the second welding step are converted into synchronization condition step information, and the synchronization condition step information is set to be X1, X2, X3, ..., X T , let the synchronization index of the third welding step be D3 指数 ;

[0023]

[0024] According to the above formula, the synchronization index of the three welding steps can be calculated. At this time, the recording index will be re-established for the third welding step information, where the recording index is equal to 1;

[0025] When D3 指数 =1, an asynchronous folder is created in the synchronous folder according to the name of the third welding material, and then the different step information of the welding step information of the third welding material and the synchronous condition step information is recorded in the corresponding asynchronous folder;

[0026] When D3 指数 ≠1, a synchronization folder will be created according to the name of the third welding material, and the step information of the third welding material will be recorded in the synchronization folder.

[0027] As a further solution of the present invention: when generating the original welding information, the quality assessment module establishes an analysis threshold, and then determines whether defect analysis is required based on the analysis threshold and the comprehensive quality of the welded article;

[0028] When the comprehensive quality of the welded item is higher than the analysis threshold, the defect information of the welded item is analyzed;

[0029] When the overall quality of the welded items is below the analysis threshold, the welding plan is reformulated.

[0030] As a further solution of the present invention: after generating a correction plan, the correction plan module will analyze the correction effects of different correction plans, and then sort the different correction plans according to the correction effects, from large to small, extract the information of the top three correction plans, and display the information of the top three correction plans to the staff, who will then select the correction plan.

[0031] As a further solution of the present invention: after extracting the correction material information used in the correction scheme information, the recycling module will match the waste information generated during the welding scheme with the correction material information used in the correction scheme information, analyze the useful materials in the waste information, and set the waste information as F1, F2, F3, ..., F X , assuming that the corrected material information is J1, J2, J3, ..., J C , assuming that the material information is Y 材料 ;

[0032] Y 材料 =(F1, F2, F3, ..., F X )∩(J1, J2, J3,…,J C )

[0033] According to the above formula, the useful material information can be calculated. At this time, the replacement material information that can replace the corrected material information in the useful material information is analyzed again, and the replacement material information is set to Z. 置换 , let the screening formula be When the volume of the subset in set A is larger than the volume of the subset in set B, the subset in set A is extracted and deleted from set A;

[0034]

[0035] The replacement material information can be calculated according to the above formula.

[0036] As a further solution of the present invention: after calculating the replacement material information, the recycling module will segment the replacement material information according to the material shape recorded in the corrected material information, and then the segmented replacement material information will be converted into waste material information again, and then the useful material in the waste information will be calculated again until And record all useful material information and generate a useful material table.

[0037] As a further solution of the present invention: the effectiveness index module can receive the information processed by the reuse module, then extract the content in the useful material table, and simultaneously obtain the corrected material information. Assume that the useful material information in the useful material table is C1, C2, C3, ..., C X , let the corrected material information that needs to be purchased be J G ;

[0038] J G =(J1, J2, J3, ..., J C )-(C1, C2, C3, ..., C X )

[0039] According to the above formula, the information of the corrective materials that need to be purchased can be calculated, and then the cost of the corrective materials that need to be purchased can be calculated. Suppose the cost of different corrective materials purchased is Z G , let the total cost of correcting the material purchase be G 总成本 , let the number of correction materials be U;

[0040]

[0041] According to the above formula, the total cost of corrected material purchase can be calculated, and then the effect of optimizing welding information can be extracted. Let the effect of optimizing welding information be Y 效果 , let the effectiveness index be C 指数 ;

[0042]

[0043] The effectiveness index can be calculated according to the above formula.

[0044] By adopting the above technical solution, compared with the prior art, the beneficial effects of the present invention are:

[0045] 1. The present invention can analyze corresponding remedial methods and generate correction plans for different welding defects through the correction plan module, which can effectively repair welding defects and improve the final qualification of welded items. The temperature control module can ensure that the welding process is carried out under appropriate temperature conditions to avoid welding defects caused by improper temperature. The pipe quality analysis module can further improve the welding quality, intuitively understand the welding results after optimization, and provide data basis for subsequent analysis and improvement. The reuse module helps to achieve the rational use of resources in the welding process, reduce costs and reduce waste;

[0046] 2. The present invention can improve the efficiency and accuracy of welding scheme management through the scheme generation module, which helps to better grasp the commonalities and differences of different welding materials in welding steps in the subsequent welding process, facilitates unified management and targeted operations, and improves the coordination and efficiency of welding work. The correction scheme module helps workers make more efficient and accurate choices among many correction schemes, improves the work efficiency of the defect correction link, and thus ensures that the welded items can eventually meet better quality standards;

[0047] 3. The present invention helps to improve resource utilization and reduce production costs through the reuse module. It also conforms to the concept of resource recycling and sustainable development, making the reused materials more practical and feasible, improving the reliability and effectiveness of the reuse link, and realizing the comprehensive sorting and integration of waste resources, which is convenient for better coordination and management of reused resources. The utilization effectiveness index module can optimize cost expenditure, avoid unnecessary waste of material purchases, improve economic benefits, improve resource utilization, reduce costs, optimize solution selection and improve overall benefits. BRIEF DESCRIPTION OF THE DRAWINGS

[0048] Figure 1 Schematic diagram of the system flow in an embodiment of the present invention. DETAILED DESCRIPTION

[0049] The specific embodiments of the present invention will be further described below in conjunction with the accompanying drawings. It should be noted that the description of these embodiments is used to help understand the present invention, but does not constitute a limitation of the present invention.

[0050] In addition, the technical features involved in the various embodiments of the present invention described below can be combined with each other as long as they do not conflict with each other.

[0051] Embodiment 1:

[0052] Therefore, in order to effectively solve the above problems, the present application proposes a mechanical welding management system based on artificial intelligence, as shown in the accompanying drawings of the specification. Figure 1 As shown, it includes a data acquisition module, which can collect welding equipment information and welding material information, and also includes a solution generation module, a quality assessment module, a correction solution module, a temperature control module and a pipe quality analysis module;

[0053] The plan generation module collects welding material information, analyzes welding methods suitable for different welding materials, generates welding plans, establishes recording units, converts material information into material labels and marks them on welding plans, then extracts welding plans, starts welding equipment according to the welding plans, and performs welding on welding objects;

[0054] The quality assessment module collects the appearance information, non-destructive testing information, mechanical property information and metallographic structure information of the welded items, and then comprehensively evaluates the welded items based on the appearance information, non-destructive testing information, mechanical property information and metallographic structure information to generate original welding information, and analyzes the defects of the welded items to generate welding defect information;

[0055] The correction scheme module is responsible for extracting welding defect information, analyzing the remedial methods of various welding defects, and generating correction schemes accordingly;

[0056] The temperature control module is responsible for collecting welding temperature environment information suitable for different materials, generating environmental welding information, and recording it in the corresponding material unit;

[0057] By combining the temperature sensor network with the intelligent algorithm, the actual temperature environment of the welding site is sensed in real time, including the impact of factors such as ambient temperature, humidity, and air flow speed on the welding temperature. Based on these real-time sensed data, the welding temperature environment is optimized and adjusted;

[0058] According to the welding speed, welding current and other parameters set in the welding plan, the welding temperature is dynamically adjusted to achieve mutual coordination between welding process parameters and improve welding quality. When performing welding quality inspection on optimized welding items, accurate temperature-related information is provided to help analyze the impact of temperature on welding quality, so as to further optimize the welding process.

[0059] The pipe quality analysis module extracts the environmental welding information and the correction scheme information, then adjusts the temperature in the welding equipment according to the welding scheme information, and then uses the correction scheme to weld the welding items to obtain the optimized welding items. At this time, the welding quality of the optimized welding items is detected, the optimized welding information is generated, and the effect of the optimized welding information is calculated;

[0060] It also includes a reuse module and an effectiveness index module;

[0061] The reuse module extracts the welding scheme, analyzes the waste information generated when the welding scheme is executed, extracts the correction scheme information, extracts the correction material information used in the correction scheme information, and determines the replacement utilization index of the waste information and the correction material information;

[0062] For some waste materials with irregular shapes but stable chemical properties, they can be transformed into new filling materials or auxiliary materials through processing and used in other links of the welding process to maximize the utilization of waste resources;

[0063] The effectiveness index module extracts the replacement utilization index of the correction plan and the waste information and the correction material information, analyzes the cost of the correction plan, and calculates the effectiveness index of the correction plan according to the cost of the correction plan and the effect of optimizing the welding information;

[0064] Specific workflow: collect welding equipment information and welding material information, analyze welding methods suitable for different welding materials, generate welding plans, establish recording units, convert material information into material labels and mark them on welding plans, then extract welding plans, start welding equipment according to welding plans, perform welding processing on welding items, comprehensively evaluate welding items, generate original welding information, analyze defects of welding items, generate welding defect information, analyze remedial methods for different welding defects, generate correction plans, collect welding temperature environments suitable for different materials, generate environmental welding information, record environmental welding information in corresponding material units, adjust the temperature in welding equipment according to welding plan information, and then use correction plans to weld welding items. At this time, detect and optimize the welding quality of welding items, and calculate the effect of optimizing welding information, analyze waste information generated when executing welding plans, extract correction material information used in correction plan information, determine the replacement utilization index of waste information and correction material information, analyze the cost of correction plans, and calculate the effectiveness index of correction plans;

[0065] Furthermore, the correction scheme module can analyze the corresponding remedial methods for different welding defects and generate correction schemes, which can effectively repair welding defects and improve the final qualification level of welded items. The temperature control module can ensure that the welding process is carried out under appropriate temperature conditions to avoid welding defects caused by improper temperature. The pipe quality analysis module can further improve the welding quality, intuitively understand the welding results after optimization processing, and provide data basis for subsequent analysis and improvement. The reuse module helps to achieve the rational use of resources in the welding process, reduce costs and reduce waste.

[0066] Embodiment 2:

[0067] Based on the first embodiment, as shown in the accompanying drawings of the specification Figure 1 As shown, when the scheme generation module generates a welding scheme, the welding scheme will be recorded in the recording unit, wherein the recording unit includes a synchronous folder and an asynchronous folder, and the asynchronous folder is established in the synchronous folder. Then, the welding schemes of different welding materials are split into welding steps, and a synchronous folder is established according to the welding scheme, and the synchronization index between the welding machine steps in different synchronous folders is calculated. Suppose the welding step information of the first welding material is D11, D12, D13, ..., D1 B , assuming that the welding step information of the second welding material is D21, D22, D23, ..., D2 B , let the number of steps be converted into a numerical formula Let the synchronization index be T 指数 ;

[0068] When the number of welding steps of the welding material extracted first is higher than that of the welding steps of the welding material extracted later:

[0069]

[0070] When the number of welding steps of the welding material extracted first is less than that of the welding steps of the welding material extracted later:

[0071]

[0072] According to the above formula, the synchronization index can be calculated, and then the synchronization recording threshold is established. Let the synchronization recording threshold be T 阈值 ;

[0073] When T 指数 ≥T 阈值 When the welding step information of the two welding materials is extracted, the same step information is recorded in the synchronous folder, and an asynchronous folder is created in the synchronous folder with the material name as the main keyword, and the different step information of each is recorded in the corresponding asynchronous folder;

[0074] When T 指数 <T 阈值 When the two welding materials are connected, synchronization folders will be created according to the names of the two welding materials, and the corresponding welding step information will be recorded in the corresponding synchronization folders;

[0075] By simulating the execution of these synchronization condition steps under different temperature and humidity environments, relevant data such as welding quality fluctuations and welding speed changes are collected. Based on these data, the synchronization condition step information is labeled, for example, as "high temperature stable type" and "high humidity sensitive type". Then, when calculating the synchronization index of the third welding material, the standards related to these environmental factors are taken into consideration, so that the synchronization index can better reflect the feasibility and synergy in the actual welding scenario;

[0076] After the solution generation module records the welding step information of two welding materials in the synchronization folder, it will re-formulate the calculation formula of the synchronization index, assuming that the welding step information of the third welding material is D31, D32, D33, ..., D3 B Then, the same steps of the first welding step and the second welding step are converted into synchronization condition step information, and the synchronization condition step information is set to be X1, X2, X3, ..., X T , let the synchronization index of the third welding step be D3 指数 ;

[0077]

[0078] According to the above formula, the synchronization index of the three welding steps can be calculated. At this time, the recording index will be re-established for the third welding step information, where the recording index is equal to 1;

[0079] When D3 指数 =1, an asynchronous folder is created in the synchronous folder according to the name of the third welding material, and then the different step information of the welding step information of the third welding material and the synchronous condition step information is recorded in the corresponding asynchronous folder;

[0080] When D3 指数 ≠1, a synchronization folder will be created according to the name of the third welding material, and the step information of the third welding material will be recorded in the synchronization folder;

[0081] When generating raw welding information, the quality assessment module establishes an analysis threshold, and then determines whether defect analysis is needed based on the analysis threshold and the comprehensive quality of the welded item;

[0082] When the comprehensive quality of the welded item is higher than the analysis threshold, the defect information of the welded item is analyzed;

[0083] When the combined quality of the welded items falls below the analysis threshold, the welding plan is reformulated;

[0084] After generating the correction plan, the correction plan module will analyze the correction effects of different correction plans, and then sort the different correction plans according to the correction effect, from large to small, extract the information of the top three correction plans, and display the information of the top three correction plans to the staff, who will then select the correction plan;

[0085] It can also be sorted flexibly according to different demand scenarios. For scenarios that pursue production efficiency, it can be sorted from short to long according to the time required to implement the correction plan, and then other factors such as the repair effect can be considered on the basis of meeting the time requirements; for scenarios that focus on product quality, it can be sorted from high to low according to the key indicators of the repair effect, and then other factors can be considered;

[0086] Specific workflow: record the welding scheme into the recording unit, create an asynchronous folder in the synchronous folder, then split the welding schemes of different welding materials into welding steps, and create synchronous folders according to the welding schemes, calculate the synchronization index between the welding machine steps in different synchronous folders, and establish a synchronous recording threshold. 指数 ≥T 阈值 When the same step information is extracted from the welding step information of the two welding materials, the same step information is recorded in the synchronous folder, and an asynchronous folder is created in the synchronous folder with the material name as the main keyword, and the different step information of each is recorded in the corresponding asynchronous folder. 指数 <T 阈值When the two welding materials are found, synchronization folders will be created according to the names of the two welding materials, and the corresponding welding step information will be recorded in the corresponding synchronization folders. The calculation formula of the synchronization index will be re-formulated to calculate the synchronization index of the three welding steps, and a recording index will be formulated for the third welding step information. The folder where the step information of the third welding material is recorded will be determined, and the threshold and the comprehensive quality of the welded items will be analyzed to determine whether defect analysis is required. The correction effects of different correction plans will be analyzed, and then different correction plans will be sorted according to the correction effects, and the sorting method will be from large to small. The information of the first three correction plans will be extracted, and the information of the first three correction plans will be displayed to the staff;

[0087] Furthermore, the scheme generation module can improve the efficiency and accuracy of welding scheme management, which helps to better grasp the commonalities and differences of different welding materials in welding steps in the subsequent welding process, facilitate unified management and targeted operations, and improve the coordination and efficiency of welding work. The correction scheme module helps staff make more efficient and accurate choices among many correction schemes, improves the work efficiency of the defect correction link, and thus ensures that the welded items can ultimately meet better quality standards.

[0088] Embodiment three:

[0089] Based on the second embodiment, as shown in the accompanying drawings of the specification Figure 1 As shown, after extracting the correction material information used in the correction scheme information, the reuse module will match the waste information generated during the welding scheme with the correction material information used in the correction scheme information, analyze the useful materials in the waste information, and set the waste information to be F1, F2, F3, ..., F X , assuming that the corrected material information is J1, J2, J3, ..., J C , assuming that the material information is Y 材料 ;

[0090] Y 材料 =(F1, F2, F3, ..., F X )∩(J1, J2, J3,…,J C )

[0091] According to the above formula, the useful material information can be calculated. At this time, the replacement material information that can replace the corrected material information in the useful material information is analyzed again, and the replacement material information is set to Z. 置换 , let the screening formula be When the volume of the subset in set A is larger than the volume of the subset in set B, the subset in set A is extracted and deleted from set A;

[0092]

[0093] According to the above formula, the replacement material information can be calculated;

[0094] After calculating the replacement material information, the recycling module will split the replacement material information according to the material shape recorded in the corrected material information, and then convert the split replacement material information into waste material information again, and then calculate the useful material in the waste material information again until And record all useful material information and generate a useful material table;

[0095] The effectiveness index module can receive the information processed by the reuse module, then extract the content in the useful material table, and simultaneously obtain the corrected material information. Suppose the useful material information in the useful material table is C1, C2, C3, ..., C X , let the corrected material information that needs to be purchased be J G ;

[0096] J G =(J1, J2, J3, ..., J C )-(C1, C2, C3, ..., C X )

[0097] According to the above formula, the information of the corrective materials that need to be purchased can be calculated, and then the cost of the corrective materials that need to be purchased can be calculated. Suppose the cost of different corrective materials purchased is Z G , let the total cost of correcting the material purchase be G 总成本 , let the number of correction materials be U;

[0098]

[0099] According to the above formula, the total cost of corrected material purchase can be calculated, and then the effect of optimizing welding information can be extracted. Let the effect of optimizing welding information be Y 效果 , let the effectiveness index be C 指数 ;

[0100]

[0101] The effectiveness index can be calculated according to the above formula;

[0102] Consider the environmental impact of the implementation of the corrective plan, the requirements for workers' operating skills, and other factors. By assigning different weights to these factors, a more comprehensive effectiveness evaluation system can be established so that the effectiveness index can more accurately reflect the actual value of the corrective plan;

[0103] According to the accumulated experience and new situations in the actual production process, optimize the weight setting or add new influencing factors to ensure that the effectiveness index can always accurately evaluate the actual value of the corrective plan, and provide stronger support for enterprises to choose the most cost-effective corrective plan;

[0104] Specific workflow: match the scrap information generated during welding with the corrected material information used in the corrected plan information, analyze the useful materials in the scrap information, re-analyze the replacement material information in the useful material information that can replace the corrected material information, segment the replacement material information according to the material shape recorded in the corrected material information, and then convert the segmented replacement material information into scrap information again, and then calculate the useful materials in the scrap information again, record all the useful material information, generate a useful material table, extract the content in the useful material table, and simultaneously obtain the corrected material information, calculate the cost required to purchase the corrected material information, and calculate the effectiveness index;

[0105] Furthermore, the reuse module helps to improve resource utilization and reduce production costs. It also complies with the concept of resource recycling and sustainable development, making the reused materials more practical and feasible, improving the reliability and effectiveness of the reuse link, and realizing the comprehensive sorting and integration of waste resources, which facilitates better coordination and management of reused resources. The utilization effectiveness index module can optimize cost expenditure, avoid unnecessary waste of material purchases, improve economic benefits, improve resource utilization, reduce costs, optimize solution selection, and improve overall benefits.

[0106] The above shows and describes the basic principles, main features and advantages of the present invention. It should be understood by those skilled in the art that the present invention is not limited to the above embodiments. The above embodiments and descriptions are only for explaining the principles of the present invention. Without departing from the spirit and scope of the present invention, the present invention may have various changes and improvements, which fall within the scope of the present invention. The scope of protection of the present invention is defined by the attached claims and their equivalents.

Claims

1. A mechanical welding management system based on artificial intelligence, comprising a data acquisition module, wherein the data acquisition module can collect welding equipment information and welding material information, and is characterized in that: It also includes a solution generation module, a quality assessment module, a correction solution module, a temperature control module, and a pipe quality analysis module; The plan generation module collects welding material information, analyzes welding methods suitable for different welding materials, generates welding plans, establishes recording units, converts material information into material labels and marks them on welding plans, then extracts welding plans, starts welding equipment according to the welding plans, and performs welding on welding objects; The quality assessment module collects the appearance information, non-destructive testing information, mechanical property information and metallographic structure information of the welded items, and then comprehensively evaluates the welded items based on the appearance information, non-destructive testing information, mechanical property information and metallographic structure information to generate original welding information, and analyzes the defects of the welded items to generate welding defect information; The correction scheme module is responsible for extracting welding defect information, analyzing the remedial methods of various welding defects, and generating correction schemes accordingly; The temperature control module is responsible for collecting welding temperature environment information suitable for different materials, generating environmental welding information, and recording it in the corresponding material unit; The pipe quality analysis module extracts environmental welding information and correction plan information, then adjusts the temperature in the welding equipment according to the welding plan information, and then uses the correction plan to weld the welding items to obtain optimized welding items. At this time, the welding quality of the optimized welding items is detected, the optimized welding information is generated, and the effect of the optimized welding information is calculated.

2. The artificial intelligence-based mechanical welding management system according to claim 1, characterized in that: It also includes a reuse module and an effectiveness index module; The reuse module extracts the welding scheme, analyzes the waste information generated when the welding scheme is executed, extracts the correction scheme information, extracts the correction material information used in the correction scheme information, and determines the replacement utilization index of the waste information and the correction material information; The effectiveness index module extracts the replacement utilization index of the correction plan and the waste information and the correction material information, analyzes the cost of the correction plan, and calculates the effectiveness index of the correction plan based on the cost of the correction plan and the effect of optimizing the welding information.

3. The artificial intelligence-based mechanical welding management system according to claim 1 is characterized in that: When generating a welding plan, the plan generation module records the welding plan in a recording unit, wherein the recording unit includes a synchronous folder and an asynchronous folder, and the asynchronous folder is established in the synchronous folder. Then, the welding plans of different welding materials are divided into welding steps, and a synchronous folder is established according to the welding plan. The synchronization index between the welding machine steps in different synchronous folders is calculated. Suppose the welding step information of the first welding material is D11, D12, D13, ..., D1 B , assuming that the welding step information of the second welding material is D21, D22, D23, ..., D2 B , let the number of steps be converted into a numerical formula Let the synchronization index be T 指数 ; When the number of welding steps of the welding material extracted first is higher than that of the welding steps of the welding material extracted later: When the number of welding steps of the welding material extracted first is less than that of the welding steps of the welding material extracted later: According to the above formula, the synchronization index can be calculated, and then the synchronization recording threshold is established. Let the synchronization recording threshold be T 阈值 ; When T 指数 ≥T 阈值 When the welding step information of the two welding materials is extracted, the same step information is recorded in the synchronous folder, and an asynchronous folder is created in the synchronous folder with the material name as the main keyword, and the different step information of each is recorded in the corresponding asynchronous folder; When T 指数 <T 阈值 When the two welding materials are connected, synchronization folders will be created according to the names of the two welding materials, and the corresponding welding step information will be recorded in the corresponding synchronization folders.

4. The artificial intelligence-based mechanical welding management system according to claim 3 is characterized in that: After the scheme generation module records the welding step information of two welding materials in the synchronization folder, it will re-formulate the calculation formula of the synchronization index, assuming that the welding step information of the third welding material is D31, D32, D33, ..., D3 B Then, the same steps of the first welding step and the second welding step are converted into synchronization condition step information, and the synchronization condition step information is set to be X1, X2, X3, ..., X T , let the synchronization index of the third welding step be D3 指数 ; According to the above formula, the synchronization index of the three welding steps can be calculated. At this time, the recording index will be re-established for the third welding step information, where the recording index is equal to 1; When D3 指数 =1, an asynchronous folder is created in the synchronous folder according to the name of the third welding material, and then the different step information of the welding step information of the third welding material and the synchronous condition step information is recorded in the corresponding asynchronous folder; When D3 指数 ≠1, a synchronization folder will be created according to the name of the third welding material, and the step information of the third welding material will be recorded in the synchronization folder.

5. The artificial intelligence-based mechanical welding management system according to claim 1 is characterized in that: When generating the original welding information, the quality assessment module establishes an analysis threshold, and then determines whether defect analysis is required based on the analysis threshold and the comprehensive quality of the welded object; When the comprehensive quality of the welded item is higher than the analysis threshold, the defect information of the welded item is analyzed; When the overall quality of the welded items is below the analysis threshold, the welding plan is reformulated.

6. The artificial intelligence-based mechanical welding management system according to claim 1, characterized in that: After generating a correction plan, the correction plan module will analyze the correction effects of different correction plans, and then sort the different correction plans according to the correction effects, from large to small, extract the information of the top three correction plans, and display the information of the top three correction plans to the staff, who will then select the correction plan.

7. The artificial intelligence-based mechanical welding management system according to claim 2 is characterized in that: After extracting the correction material information used in the correction scheme information, the reuse module will match the waste information generated during the welding scheme with the correction material information used in the correction scheme information, analyze the useful materials in the waste information, and set the waste information as F1, F2, F3, ..., F X , assuming that the corrected material information is J1, J2, J3, ..., J C , assuming that the material information is Y 材料 ; <h2 style=";text-align:left;direction:ltr">Y<h2 style=";text-align:left;direction:ltr"> 材料 <h2 style=";text-align:left;direction:ltr"> (F1, F2, F3,……, F)<h2 style=";text-align:left;direction:ltr"> X <h2 style=";text-align:left;direction:ltr"> )∩(J1、J2、J3、……、J<h2 style=";text-align:left;direction:ltr"> C <h2 style=";text-align:left;direction:ltr"> ) According to the above formula, the useful material information can be calculated. At this time, the replacement material information that can replace the corrected material information in the useful material information is analyzed again, and the replacement material information is set to Z. 置换 , let the screening formula be When the volume of the subset in set A is larger than the volume of the subset in set B, the subset in set A is extracted and deleted from set A; The replacement material information can be calculated according to the above formula.

8. The artificial intelligence-based mechanical welding management system according to claim 7 is characterized in that: After calculating the replacement material information, the recycling module will segment the replacement material information according to the material shape recorded in the corrected material information, and then the segmented replacement material information will be converted into waste material information again, and then the useful material in the waste material information will be calculated again until And record all useful material information and generate a useful material table.

9. The artificial intelligence-based mechanical welding management system according to claim 8, characterized in that: The effectiveness index module can receive the information processed by the reuse module, then extract the content in the useful material table, and simultaneously obtain the corrected material information. Assume that the useful material information in the useful material table is C1, C2, C3, ..., C X , let the corrected material information that needs to be purchased be J G ; J G =(J1、J2、J3、……、J C )-(C1、C2、C3、……、C X ) According to the above formula, the information of the corrective materials that need to be purchased can be calculated, and then the cost of the corrective materials that need to be purchased can be calculated. Suppose the cost of different corrective materials purchased is Z G , let the total cost of correcting the material purchase be G 总成本 , let the number of correction materials be U; According to the above formula, the total cost of corrected material purchase can be calculated, and then the effect of optimizing welding information can be extracted. Let the effect of optimizing welding information be Y 效果 , let the effectiveness index be C 指数 ; The effectiveness index can be calculated according to the above formula.

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