CN117464216A - Welding quality control method and device based on real-time measurement of laser welding temperature field - Google Patents
Welding quality control method and device based on real-time measurement of laser welding temperature field Download PDFInfo
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- 238000003908 quality control method Methods 0.000 title claims abstract description 55
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- FJJCIZWZNKZHII-UHFFFAOYSA-N [4,6-bis(cyanoamino)-1,3,5-triazin-2-yl]cyanamide Chemical compound N#CNC1=NC(NC#N)=NC(NC#N)=N1 FJJCIZWZNKZHII-UHFFFAOYSA-N 0.000 claims description 16
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B23—MACHINE TOOLS; METAL-WORKING NOT OTHERWISE PROVIDED FOR
- B23K—SOLDERING OR UNSOLDERING; WELDING; CLADDING OR PLATING BY SOLDERING OR WELDING; CUTTING BY APPLYING HEAT LOCALLY, e.g. FLAME CUTTING; WORKING BY LASER BEAM
- B23K26/00—Working by laser beam, e.g. welding, cutting or boring
- B23K26/70—Auxiliary operations or equipment
- B23K26/702—Auxiliary equipment
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B23—MACHINE TOOLS; METAL-WORKING NOT OTHERWISE PROVIDED FOR
- B23K—SOLDERING OR UNSOLDERING; WELDING; CLADDING OR PLATING BY SOLDERING OR WELDING; CUTTING BY APPLYING HEAT LOCALLY, e.g. FLAME CUTTING; WORKING BY LASER BEAM
- B23K26/00—Working by laser beam, e.g. welding, cutting or boring
- B23K26/20—Bonding
- B23K26/21—Bonding by welding
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Abstract
The disclosure provides a welding quality control method and device based on real-time measurement of a laser welding temperature field, and relates to the technical field of temperature detection control, wherein the method comprises the following steps: comparing the real-time temperature measured in real time with a preset temperature to obtain a real-time temperature deviation; when the preset deviation threshold is reached, laser welding regulation and control are carried out, wherein the intelligent control module comprises a process regulation and control unit, an auxiliary control unit and a basic protection unit; and the laser welding quality control is carried out through the cooperative coordination of the process control unit, the auxiliary control unit and the basic protection unit. The technical problems of low welding quality control efficiency and poor welding quality caused by lower real-time temperature monitoring efficiency and accuracy of a laser welding temperature field in the prior art can be solved, the aim of improving the real-time temperature monitoring efficiency and accuracy is fulfilled, and the technical effects of improving the welding quality control efficiency and the welding quality are achieved.
Description
Technical Field
The disclosure relates to the technical field of temperature detection control, in particular to a welding quality control method and device based on real-time measurement of a laser welding temperature field.
Background
The temperature monitoring technology of the laser welding temperature field plays an important role as a step in laser processing, and the temperature real-time monitoring of the laser welding temperature field plays a key role in improving welding quality control such as laser welding, part forming processing and the like. At present, the existing welding quality control has ageing hysteresis and the visualization degree of a laser welding temperature field is low, so that adverse effects such as welding quality reduction and the like are caused. Therefore, a method is needed for weld quality control.
In summary, in the prior art, the real-time temperature monitoring efficiency and accuracy of the laser welding temperature field are low, and the visualization degree is poor, so that the technical problems of low welding quality control efficiency and poor welding quality are caused.
Disclosure of Invention
The disclosure provides a welding quality control method and device based on real-time measurement of a laser welding temperature field, which are used for solving the technical problems of low welding quality control efficiency and poor welding quality caused by low real-time temperature monitoring efficiency and accuracy of the laser welding temperature field and poor visualization degree in the prior art.
According to a first aspect of the present disclosure, there is provided a welding quality control method based on real-time measurement of a laser welding temperature field, comprising: comparing the real-time temperature measured in real time based on the distributed temperature sensor with a preset temperature to obtain a real-time temperature deviation; when the real-time temperature deviation reaches a preset deviation threshold, activating the intelligent control module to perform laser welding regulation and control, wherein the intelligent control module comprises a process regulation and control unit, an auxiliary control unit and a basic protection unit; and performing laser welding quality control through the cooperation of the process control unit, the auxiliary control unit and the basic protection unit.
According to a second aspect of the present disclosure, there is provided a welding quality control apparatus based on real-time measurement of a laser welding temperature field, comprising: the real-time temperature deviation obtaining module is used for comparing the real-time temperature measured in real time based on the distributed temperature sensor with a preset temperature to obtain a real-time temperature deviation; the intelligent control module activation module is used for activating the intelligent control module to perform laser welding regulation and control when the real-time temperature deviation reaches a preset deviation threshold value, wherein the intelligent control module comprises a process regulation and control unit, an auxiliary control unit and a basic protection unit; and the laser welding quality control module is used for carrying out laser welding quality control through the cooperation of the process control unit, the auxiliary control unit and the basic protection unit.
One or more technical solutions provided in the present disclosure have at least the following technical effects or advantages: according to the method, the real-time temperature deviation is obtained by comparing the real-time temperature measured in real time based on the distributed temperature sensor with the preset temperature; when the real-time temperature deviation reaches a preset deviation threshold, activating the intelligent control module to perform laser welding regulation and control, wherein the intelligent control module comprises a process regulation and control unit, an auxiliary control unit and a basic protection unit; the process control unit, the auxiliary control unit and the basic protection unit are cooperatively matched to control the quality of laser welding, so that the technical problems of lower welding quality control efficiency and poor welding quality caused by lower real-time temperature monitoring efficiency and lower accuracy of a laser welding temperature field and poor visualization degree in the prior art are solved, the aim of improving the real-time temperature monitoring efficiency and accuracy is fulfilled, and the technical effects of improving the welding quality control efficiency and the welding quality are achieved.
It should be understood that the description of this section is not intended to identify key or critical features of the embodiments of the disclosure, nor is it intended to be used to limit the scope of the disclosure. Other features of the present disclosure will become apparent from the following specification.
Drawings
For a clearer description of the present disclosure or of the prior art, the drawings used in the description of the embodiments or of the prior art will be briefly described, it being obvious that the drawings in the description below are only exemplary and that other drawings may be obtained, without inventive effort, by a person skilled in the art, from the provided drawings.
Fig. 1 is a flow chart of a welding quality control method based on real-time measurement of a laser welding temperature field according to an embodiment of the present disclosure.
Fig. 2 is a logic diagram of performing laser welding quality control by releasing a predetermined shielding gas through the base shielding unit in the welding quality control method based on real-time measurement of a laser welding temperature field according to an embodiment of the present disclosure.
Fig. 3 is a schematic structural diagram of a welding quality control device based on real-time measurement of a laser welding temperature field according to an embodiment of the present disclosure.
Reference numerals illustrate: the real-time temperature deviation obtaining module 11, the intelligent control module activating module 12 and the laser welding quality control module 13.
Detailed Description
Exemplary embodiments of the present disclosure are described below in conjunction with the accompanying drawings, which include various details of the embodiments of the present disclosure to facilitate understanding, and should be considered as merely exemplary. Accordingly, one of ordinary skill in the art will recognize that various changes and modifications of the embodiments described herein can be made without departing from the scope and spirit of the present disclosure. Also, descriptions of well-known functions and constructions are omitted in the following description for clarity and conciseness.
Example 1
The welding quality control method based on real-time measurement of a laser welding temperature field provided in the embodiments of the present disclosure is described with reference to fig. 1 and 2, and the method includes:
the method provided by the embodiment of the disclosure comprises the following steps:
comparing the real-time temperature measured in real time based on the distributed temperature sensor with a preset temperature to obtain a real-time temperature deviation;
specifically, a welding quality control device based on real-time measurement of a laser welding temperature field is in communication connection with a distributed temperature sensor for data transmission. And carrying out real-time temperature measurement on the laser welding temperature field through a distributed temperature sensor to obtain real-time temperature. And extracting the preset temperature of the laser welding temperature field, wherein the preset temperature is obtained by carrying out user-defined setting according to actual conditions by a person skilled in the art. Further, comparing the obtained real-time temperature with a preset temperature to obtain a comparison temperature serving as a real-time temperature deviation.
When the real-time temperature deviation reaches a preset deviation threshold, activating the intelligent control module to perform laser welding regulation and control, wherein the intelligent control module comprises a process regulation and control unit, an auxiliary control unit and a basic protection unit;
specifically, the laser welding temperature field has a preset temperature, and the temperatures of all the positions in the laser welding temperature field should be the preset temperature, however, there is a real-time temperature deviation actually, so once the real-time temperature deviation between the real-time temperature of one position and the preset temperature reaches a preset deviation threshold, the intelligent control module is activated to perform laser welding regulation. Further, the intelligent control module comprises a process control unit, an auxiliary control unit and a basic protection unit. Wherein, the process control unit, the auxiliary control unit and the basic protection unit have a hierarchical progressive relationship.
And performing laser welding quality control through the cooperation of the process control unit, the auxiliary control unit and the basic protection unit.
Specifically, the base protection unit releases the preset protection gas, the preset pre-cooling auxiliary equipment or the preset pre-heating auxiliary equipment in the auxiliary control unit is used for temperature regulation, the process regulation unit is used for dynamic optimizing regulation and control of the real-time welding process, and the laser welding quality control is cooperatively carried out.
The technical problems of low welding quality control efficiency and poor welding quality caused by low real-time temperature monitoring efficiency and low accuracy of a laser welding temperature field in the prior art can be solved, the aim of improving the real-time temperature monitoring efficiency and accuracy is fulfilled, and the technical effects of improving the welding quality control efficiency and the welding quality are achieved.
The method provided by the embodiment of the disclosure further comprises the following steps:
acquiring a first temperature sensor, wherein the first temperature sensor is a temperature sensor which is arranged at a first position in a laser welding temperature field in the distributed temperature sensor;
acquiring a first real-time temperature, wherein the first real-time temperature refers to real-time temperature data of the first position monitored by the first temperature sensor in the real-time temperature;
combining the preset temperature and the first real-time temperature to obtain a first real-time temperature deviation;
and when the first real-time temperature deviation reaches the first preset deviation threshold value, releasing preset shielding gas through the basic shielding unit to control the laser welding quality.
Specifically, the predetermined deviation threshold includes a first predetermined deviation threshold, a second predetermined deviation threshold and a third predetermined deviation threshold, and the first predetermined deviation threshold is smaller than the second predetermined deviation threshold and smaller than the third predetermined deviation threshold, wherein the difference between the second predetermined deviation threshold and the first predetermined deviation threshold and the difference between the third predetermined deviation threshold and the second predetermined deviation threshold are custom settings, and the two differences may be the same or different.
Further, the position of the laser welding temperature field is randomly extracted as the first position, and a temperature sensor arranged at the first position is used as the first temperature sensor. And monitoring the real-time temperature data of the first position through a first temperature sensor to obtain a first real-time temperature. Wherein the real-time temperature comprises a first real-time temperature.
Further, comparing the preset temperature of the laser welding temperature field with the first real-time temperature to obtain a first real-time temperature deviation. Wherein the real-time temperature bias comprises a first real-time temperature bias.
Further, when the first real-time temperature deviation reaches a first preset deviation threshold value, a preset shielding gas is released by a basic protection unit of the intelligent control module to control the laser welding quality. In the laser welding process, proper shielding gas is selected as the preset shielding gas, so that the reaction of a molten pool with oxygen and moisture in the air can be prevented, and air holes and oxides are generated. The preset shielding gas is obtained according to the actual condition user-defined setting.
And the temperature of the welding area is regulated and controlled through the base protection unit so as to improve the laser welding quality.
The method provided by the embodiment of the disclosure further comprises the following steps:
and when the first real-time temperature deviation reaches the second preset deviation threshold value, performing laser welding quality control through preset pre-cooling auxiliary equipment or preset pre-heating auxiliary equipment in the auxiliary control unit.
Specifically, when the first real-time temperature deviation reaches a second preset deviation threshold, the temperature of the welding area is regulated and controlled through preset pre-cooling auxiliary equipment or preset pre-heating auxiliary equipment in an auxiliary control unit of the intelligent control module, so that the laser welding quality is controlled, and the thermal stress of the welding area is reduced and the deformation degree is reduced.
The method provided by the embodiment of the disclosure further comprises the following steps:
when the first real-time temperature deviation reaches the third preset deviation threshold value, carrying out dynamic optimizing regulation and control on a real-time welding process through the process regulation and control unit to obtain a target welding process, wherein the real-time welding process is a process scheme consisting of real-time index parameters of preset welding indexes, and the preset welding indexes comprise laser power, welding speed, welding angle and welding rod path;
and performing laser welding quality control according to the target welding process.
Specifically, when the first real-time temperature deviation reaches a third preset deviation threshold, a process control unit of the intelligent control module is used for dynamically optimizing and controlling a real-time welding process to obtain a target welding process, wherein the real-time welding process refers to a process scheme consisting of real-time index parameters of preset welding indexes, and the preset welding indexes comprise laser power, welding speed, welding angle and welding rod path. Wherein, the welding rod path comprises a straight moving strip and a crescent moving strip. Further, by optimizing real-time index parameters of preset welding indexes such as laser power, welding speed, welding angle, welding rod path and the like in the target welding process, the distribution and the change of the molten pool temperature can be controlled, and further the laser welding quality control is performed.
The method provided by the embodiment of the disclosure further comprises the following steps:
the welding rod path comprises a straight running conveying strip and a crescent conveying strip.
Specifically, the electrode path includes a straight travel bar, a crescent travel bar. The straight running strip is obtained by making the tail end of the welding rod to swing forwards in a zigzag shape and making the tail end of the welding rod to stay slightly at two sides so as to prevent undercut. The welding device is suitable for welding the weld beads of each layer of butt welding seams of the horizontal, vertical and overhead welding positions. The tail end of the welding rod of the crescent conveying strip swings left and right in a crescent mode along the welding direction, the middle action is quick, and two sides slightly stay. The method can effectively control the temperature of the molten pool, and the molten pool is shallower, so that the undercut of the front side and the reverse side is prevented. Wherein, the welding rod path of straight shape fortune strip and crescent fortune strip is used, carries out the efficiency of real-time index parameter control to improve.
The method provided by the embodiment of the disclosure further comprises the following steps:
acquiring a preset welding process, wherein the preset welding process comprises a first preset welding process, a second preset welding process and a third preset welding process;
the method comprises the steps of calling historical laser welding records, wherein the historical laser welding records comprise a plurality of historical welding processes and a plurality of historical temperature deviations during a plurality of historical welding;
extracting a first historical welding process in the plurality of historical welding processes, and sequentially calculating process similarities of the first historical welding process and the first preset welding process, the second preset welding process and the third preset welding process to respectively obtain a first similarity, a second similarity and a third similarity;
comparing the first similarity, the second similarity and the third similarity to obtain a preset process corresponding to the target similarity, and recording the preset process as a target preset process;
adding the first historical welding process to a target process group of the target predetermined process;
matching a first historical temperature bias of the first historical welding process in combination with the plurality of historical temperature biases;
weighting the first historical temperature deviation according to a target weight coefficient determined based on the target similarity to obtain a target group comprehensive index of the target process group;
and determining the target welding process based on the target group comprehensive index.
Specifically, the predetermined welding process is obtained according to the custom determination of the welding experience of the workers in the historical time. Wherein the predetermined welding process comprises predetermined index parameters of the predetermined welding index. Further, the predetermined welding process includes a first predetermined welding process, a second predetermined welding process, and a third predetermined welding process.
Further, a historical laser welding record of the predetermined welding process is retrieved, the historical laser welding record including a plurality of historical welding processes and a plurality of historical temperature deviations for a plurality of historical welds. Wherein, the plurality of historical welding processes refer to a process scheme consisting of a plurality of historical index parameters of a predetermined welding index. The plurality of historical temperature deviations refer to a plurality of temperature deviations obtained by comparing a plurality of historical temperatures during historical welding with a preset temperature.
Further, a first history welding process is randomly extracted from a plurality of history welding processes, and process similarity of the first history welding process and a first preset welding process, the first history welding process and a second preset welding process and process similarity of the first history welding process and a third preset welding process are sequentially calculated, so that first similarity, second similarity and third similarity are sequentially obtained respectively. In the process of process similarity comparison, the result can be obtained as the first similarity by comparing the similarity of the historical index parameter of the predetermined welding index corresponding to the first historical welding process with the predetermined index parameter of the predetermined welding index corresponding to the first predetermined welding process, and the second similarity and the third similarity are respectively obtained.
Further, the first similarity, the second similarity and the third similarity are compared in terms of the degree of similarity, the similarity corresponding to the highest similarity is obtained to serve as the target similarity, and the preset process corresponding to the target similarity is extracted and recorded as the target preset process. In the similarity comparison process, the first similarity, the second similarity and the third similarity can be subjected to serialization processing according to the degree of similarity, and the similarity with the highest similarity in the serialization processing result is obtained and used as the target similarity.
Further, the target reservation process has a target process group for determining a target welding process. A first one of the historical welding processes is added to a target process group of a target predetermined process.
Further, the first historical welding process is matched in a plurality of historical welding processes in the historical laser welding record, and the historical temperature deviation corresponding to the first historical welding process in the plurality of historical temperature deviations is obtained and is used as the first historical temperature deviation.
Further, in the process of obtaining the target similarity, the degree of similarity of the first similarity, the second similarity and the third similarity is obtained respectively, different weights are distributed to the first similarity, the second similarity and the third similarity respectively according to the degree of similarity from high to low, and the weights of the target similarity are obtained according to the weight matching of the first similarity, the second similarity and the third similarity and serve as target weight coefficients. The weight distribution proportion is obtained by custom setting according to actual conditions by a person skilled in the art.
Further, the target weight coefficient and the first historical temperature deviation are weighted to obtain a target group comprehensive index of the target process group. The weight distribution ratio of the target weight coefficient and the first historical temperature deviation is obtained by custom setting according to actual conditions by a person skilled in the art. For example, 6:4.
further, a target welding process is determined based on the target group composite index. For example, the single cluster after melon division is determined as the target welding process by a method of performing cluster process iteration melon division on the first process cluster, the second process cluster, and the third process cluster of the first, second, and third predetermined welding processes.
The process control unit is used for dynamically optimizing and controlling the real-time welding process to obtain a target welding process, so that the accuracy of obtaining the target welding process is improved, and the optimizing efficiency is improved.
The method provided by the embodiment of the disclosure further comprises the following steps:
a first process group, a second process group and a third process group of the first preset welding process, the second preset welding process and the third preset welding process are respectively obtained, wherein the first process group is provided with a first group comprehensive index, the second process group is provided with a second group comprehensive index, and the third process group is provided with a third group comprehensive index;
performing descending order arrangement of the first process group, the second process group and the third process group based on the first group comprehensive index, the second group comprehensive index and the third group comprehensive index to obtain a group descending list;
carrying out melon division on the last group process in the last group by the first group in the group descending list to obtain a process melon division result;
continuing iteration until reaching a preset constraint, and acquiring a unique group;
comparing the unique group processes in the unique groups to obtain a target unique process, and taking the target unique process as the target welding process.
Specifically, a first process group, a second process group and a third process group corresponding to a first preset welding process, a second preset welding process and a third preset welding process are respectively obtained through a method for obtaining a target process group, wherein the first process group is provided with a first group comprehensive index, the second process group is provided with a second group comprehensive index, and the third process group is provided with a third group comprehensive index according to a method for obtaining a target group comprehensive index of the target process group.
Further, the first process group, the second process group and the third process group are arranged in descending order according to the group comprehensive index from high to low based on the first group comprehensive index, the second group comprehensive index and the third group comprehensive index, so as to obtain a group descending list, wherein the group comprehensive index corresponding to the first process group is highest.
Further, the first and second process groups in the group descending list are used as first groups, and the third process group in the group descending list is used as last groups. And carrying out melon division on the last group process in the last group by the first group in the group descending list to obtain a process melon division result. The ratio of melon division of the first group to melon division of the last group is set according to a user definition, for example, the melon division ratio of the first and second process groups ordered in the group descending list of the first group is 7:3.
further, iterating melon division is continued, the first process group is ordered in the group descending list to serve as a first group, the second process group is ordered to serve as a last group, melon division is carried out on the last group process of the last group through the first group, only one process group is left, namely a preset constraint is achieved, and a single group is obtained.
Further, comparing the unique group processes in the unique groups to obtain a target unique process, and taking the target unique process as a target welding process. In the process of comparing the independent group processes, the independent process with the lowest process similarity and the smallest deviation degree can be used as the target independent process by comparing the process similarity of the independent group processes and the preset welding process and comparing the deviation degree between the historical temperature deviations of the independent group processes.
The target welding process is determined based on the comprehensive index of the target group, and the efficiency and optimizing accuracy of obtaining the target welding process through optimizing are improved.
The method provided by the embodiment of the disclosure further comprises the following steps:
acquiring a first corresponding relation between the first position and the first real-time temperature deviation;
and dynamically displaying the first corresponding relation through the intelligent display to obtain a visual welding temperature field.
Specifically, the welding quality control device based on real-time measurement of the laser welding temperature field is also in communication connection with an intelligent display, and a first corresponding relation of a first real-time temperature deviation corresponding to a first position in the laser welding temperature field is obtained.
Further, the first corresponding relation is dynamically displayed through the intelligent display, namely whether the first real-time temperature deviation corresponding to the first position reaches a first preset deviation threshold value is displayed, a visual welding temperature field is obtained, and further, the base protection unit releases preset protection gas to control the laser welding quality, so that the efficiency and the accuracy of the laser welding quality control are improved.
Example two
Based on the same inventive concept as the welding quality control method based on the real-time measurement of the laser welding temperature field in the foregoing embodiment, which is described with reference to fig. 3, the present disclosure further provides a welding quality control apparatus based on the real-time measurement of the laser welding temperature field, the apparatus comprising:
the real-time temperature deviation obtaining module 11 is used for comparing the real-time temperature measured in real time based on the distributed temperature sensor with a preset temperature to obtain a real-time temperature deviation;
the intelligent control module activation module 12 is used for activating the intelligent control module to perform laser welding regulation and control when the real-time temperature deviation reaches a preset deviation threshold value, wherein the intelligent control module comprises a process regulation and control unit, an auxiliary control unit and a basic protection unit;
and the laser welding quality control module 13 is used for performing laser welding quality control through the cooperation of the process control unit, the auxiliary control unit and the basic protection unit.
Further, the apparatus further comprises:
the first temperature sensor acquisition module is used for acquiring a first temperature sensor, wherein the first temperature sensor refers to a temperature sensor which is arranged at a first position in a laser welding temperature field in the distributed temperature sensor;
the first real-time temperature acquisition module is used for acquiring a first real-time temperature, wherein the first real-time temperature refers to real-time temperature data of the first position monitored by the first temperature sensor in the real-time temperature;
the first real-time temperature deviation obtaining module is used for obtaining a first real-time temperature deviation by combining the preset temperature and the first real-time temperature;
and the preset shielding gas release module is used for releasing preset shielding gas through the basic shielding unit to control the laser welding quality when the first real-time temperature deviation reaches the first preset deviation threshold value.
Further, the apparatus further comprises:
and the auxiliary control unit control module is used for performing laser welding quality control through preset pre-cooling auxiliary equipment or preset pre-heating auxiliary equipment in the auxiliary control unit when the first real-time temperature deviation reaches the second preset deviation threshold value.
Further, the apparatus further comprises:
the target welding process obtaining module is used for carrying out dynamic optimizing regulation and control on a real-time welding process through the process regulation and control unit when the first real-time temperature deviation reaches the third preset deviation threshold value to obtain a target welding process, wherein the real-time welding process is a process scheme consisting of real-time index parameters of preset welding indexes, and the preset welding indexes comprise laser power, welding speed, welding angle and welding rod paths;
and the target welding process control module is used for controlling the laser welding quality according to the target welding process.
Further, the apparatus further comprises:
the welding rod path obtaining module is used for the welding rod path to comprise a straight running strip and a crescent running strip.
Further, the apparatus further comprises:
the device comprises a preset welding process obtaining module, a first welding process obtaining module and a second welding process obtaining module, wherein the preset welding process obtaining module is used for obtaining a preset welding process, and the preset welding process comprises a first preset welding process, a second preset welding process and a third preset welding process;
the system comprises a laser welding record calling module, a history laser welding record calling module and a control module, wherein the laser welding record calling module is used for calling a history laser welding record, and the history laser welding record comprises a plurality of history welding processes and a plurality of history temperature deviations during a plurality of history welding;
the first history welding process extraction module is used for extracting a first history welding process in the plurality of history welding processes, and sequentially calculating process similarities of the first history welding process and the first, second and third preset welding processes to respectively obtain a first similarity, a second similarity and a third similarity;
the target preset process obtaining module is used for comparing the first similarity, the second similarity and the third similarity to obtain a preset process corresponding to the target similarity, and the preset process is recorded as a target preset process;
a target process group acquisition module for adding the first historical welding process to a target process group of the target predetermined process;
a first historical temperature deviation matching module for matching a first historical temperature deviation of the first historical welding process in combination with the plurality of historical temperature deviations;
the target group comprehensive index obtaining module is used for weighting the first historical temperature deviation according to a target weight coefficient determined based on the target similarity to obtain a target group comprehensive index of the target process group;
and the target welding process determining module is used for determining the target welding process based on the target group comprehensive index.
Further, the apparatus further comprises:
a first predetermined welding process obtaining module, configured to obtain a first process group, a second process group, and a third process group of the first predetermined welding process, the second predetermined welding process, and the third predetermined welding process, respectively, where the first process group has a first group comprehensive index, the second process group has a second group comprehensive index, and the third process group has a third group comprehensive index;
a group descending list obtaining module, configured to perform descending arrangement of the first process group, the second process group, and the third process group based on the first group comprehensive index, the second group comprehensive index, and the third group comprehensive index, to obtain a group descending list;
the process melon division result obtaining module is used for carrying out melon division on the last group processes in the last group by the first group in the group descending list to obtain a process melon division result;
the unique group obtaining module is used for continuing iteration until reaching a preset constraint, and obtaining a unique group;
the target unique process obtaining module is used for comparing unique group processes in the unique group to obtain a target unique process, and the target unique process is used as the target welding process.
Further, the apparatus further comprises:
the first corresponding relation obtaining module is used for obtaining a first corresponding relation between the first position and the first real-time temperature deviation;
the visual welding temperature field obtaining module is used for dynamically displaying the first corresponding relation through the intelligent display to obtain a visual welding temperature field.
The specific example of the welding quality control method based on the real-time measurement of the laser welding temperature field in the first embodiment is also applicable to the welding quality control device based on the real-time measurement of the laser welding temperature field in the present embodiment, and the welding quality control device based on the real-time measurement of the laser welding temperature field in the present embodiment is clearly known to those skilled in the art through the foregoing detailed description of the welding quality control method based on the real-time measurement of the laser welding temperature field, so that the detailed description thereof will not be repeated herein for the sake of brevity. The device disclosed in the embodiment corresponds to the method disclosed in the embodiment, so that the description is simpler, and the relevant points refer to the description of the method.
It should be appreciated that various forms of the flows shown above may be used to reorder, add, or delete steps. For example, the steps recited in the present disclosure may be performed in parallel or sequentially or in a different order, provided that the desired results of the technical solutions of the present disclosure are achieved, and are not limited herein.
The above detailed description should not be taken as limiting the scope of the present disclosure. It will be apparent to those skilled in the art that various modifications, combinations, and alternatives are possible, depending on design requirements and other factors. Any modifications, equivalent substitutions and improvements made within the spirit and principles of the present disclosure are intended to be included within the scope of the present disclosure.
Claims (9)
1. The welding quality control method based on the real-time measurement of the laser welding temperature field is characterized by being applied to a welding quality control device based on the real-time measurement of the laser welding temperature field, wherein the device is in communication connection with a distributed temperature sensor, and the device comprises an intelligent control module, and the method comprises the following steps:
comparing the real-time temperature measured in real time based on the distributed temperature sensor with a preset temperature to obtain a real-time temperature deviation;
when the real-time temperature deviation reaches a preset deviation threshold, activating the intelligent control module to perform laser welding regulation and control, wherein the intelligent control module comprises a process regulation and control unit, an auxiliary control unit and a basic protection unit;
and performing laser welding quality control through the cooperation of the process control unit, the auxiliary control unit and the basic protection unit.
2. The method of claim 1, wherein the predetermined deviation threshold comprises a first predetermined deviation threshold, a second predetermined deviation threshold, and a third predetermined deviation threshold, and wherein the first predetermined deviation threshold is less than the second predetermined deviation threshold and less than the third predetermined deviation threshold, the laser welding quality control by the process control unit, the auxiliary control unit, and the base protection unit cooperatively comprising:
acquiring a first temperature sensor, wherein the first temperature sensor is a temperature sensor which is arranged at a first position in a laser welding temperature field in the distributed temperature sensor;
acquiring a first real-time temperature, wherein the first real-time temperature refers to real-time temperature data of the first position monitored by the first temperature sensor in the real-time temperature;
combining the preset temperature and the first real-time temperature to obtain a first real-time temperature deviation;
and when the first real-time temperature deviation reaches the first preset deviation threshold value, releasing preset shielding gas through the basic shielding unit to control the laser welding quality.
3. The method according to claim 2, characterized in that laser welding quality control is performed by a predetermined pre-cooling aid or a predetermined pre-heating aid in the auxiliary control unit when the first real-time temperature deviation reaches the second predetermined deviation threshold.
4. The method according to claim 2, wherein the method further comprises:
when the first real-time temperature deviation reaches the third preset deviation threshold value, carrying out dynamic optimizing regulation and control on a real-time welding process through the process regulation and control unit to obtain a target welding process, wherein the real-time welding process is a process scheme consisting of real-time index parameters of preset welding indexes, and the preset welding indexes comprise laser power, welding speed, welding angle and welding rod path;
and performing laser welding quality control according to the target welding process.
5. The method of claim 4, wherein the electrode path comprises a straight travel bar, a crescent travel bar.
6. The method of claim 5, wherein dynamically optimizing the real-time welding process by the process control unit when the first real-time temperature deviation reaches the third predetermined deviation threshold value, to obtain a target welding process, comprises:
acquiring a preset welding process, wherein the preset welding process comprises a first preset welding process, a second preset welding process and a third preset welding process;
the method comprises the steps of calling historical laser welding records, wherein the historical laser welding records comprise a plurality of historical welding processes and a plurality of historical temperature deviations during a plurality of historical welding;
extracting a first historical welding process in the plurality of historical welding processes, and sequentially calculating process similarities of the first historical welding process and the first preset welding process, the second preset welding process and the third preset welding process to respectively obtain a first similarity, a second similarity and a third similarity;
comparing the first similarity, the second similarity and the third similarity to obtain a preset process corresponding to the target similarity, and recording the preset process as a target preset process;
adding the first historical welding process to a target process group of the target predetermined process;
matching a first historical temperature bias of the first historical welding process in combination with the plurality of historical temperature biases;
weighting the first historical temperature deviation according to a target weight coefficient determined based on the target similarity to obtain a target group comprehensive index of the target process group;
and determining the target welding process based on the target group comprehensive index.
7. The method of claim 6, wherein the determining the target welding process based on the target group composite index comprises:
a first process group, a second process group and a third process group of the first preset welding process, the second preset welding process and the third preset welding process are respectively obtained, wherein the first process group is provided with a first group comprehensive index, the second process group is provided with a second group comprehensive index, and the third process group is provided with a third group comprehensive index;
performing descending order arrangement of the first process group, the second process group and the third process group based on the first group comprehensive index, the second group comprehensive index and the third group comprehensive index to obtain a group descending list;
carrying out melon division on the last group process in the last group by the first group in the group descending list to obtain a process melon division result;
continuing iteration until reaching a preset constraint, and acquiring a unique group;
comparing the unique group processes in the unique groups to obtain a target unique process, and taking the target unique process as the target welding process.
8. The method of claim 2, wherein the device is further communicatively coupled to a smart display, the method further comprising:
acquiring a first corresponding relation between the first position and the first real-time temperature deviation;
and dynamically displaying the first corresponding relation through the intelligent display to obtain a visual welding temperature field.
9. Welding quality control device based on real-time measurement of a laser welding temperature field, characterized in that it is used for implementing a welding quality control method based on real-time measurement of a laser welding temperature field according to any one of claims 1-8, said device being in communication connection with a distributed temperature sensor and comprising an intelligent control module, said device comprising:
the real-time temperature deviation obtaining module is used for comparing the real-time temperature measured in real time based on the distributed temperature sensor with a preset temperature to obtain a real-time temperature deviation;
the intelligent control module activation module is used for activating the intelligent control module to perform laser welding regulation and control when the real-time temperature deviation reaches a preset deviation threshold value, wherein the intelligent control module comprises a process regulation and control unit, an auxiliary control unit and a basic protection unit;
and the laser welding quality control module is used for carrying out laser welding quality control through the cooperation of the process control unit, the auxiliary control unit and the basic protection unit.
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