CN117548782A - Welding temperature monitoring method and system for welding equipment - Google Patents
Welding temperature monitoring method and system for welding equipment Download PDFInfo
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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
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Abstract
The invention discloses a welding temperature monitoring method and a system of welding equipment, which relate to the technical field of welding equipment control and comprise the steps of measuring basic information of welded articles to establish a three-dimensional model and drawing a preset welding temperature change curve; the monitoring host acquires welding temperature data through the temperature measuring equipment, maps the welding temperature data to the three-dimensional model, and monitors the working state of the automatic welding equipment in real time; the monitoring host draws a real-time welding temperature change curve to be compared with a preset welding temperature change curve, and management measures are implemented according to comparison results; all data is processed and stored in a database. According to the invention, by monitoring the temperature change data in the welding process and combining a three-dimensional model technology, the welding temperature change in the welding process is intuitively displayed, and is subjected to real-time comparison analysis processing, so that the welding temperature change monitoring device has real-time feedback and adjustment capability, the welding quality is improved, and the control capability on the production process is enhanced.
Description
Technical Field
The invention relates to the technical field of welding equipment control, in particular to a welding temperature monitoring method and a system for welding equipment.
Background
Welding, which is a manufacturing process for joining two or more parts by heating the materials to a molten state and allowing them to cool to form joints, plays a vital role in modern manufacturing, is a common process in industrial production in existing welding techniques, particularly widely used in the automotive, shipbuilding and construction industries, and relies on highly standardized processes to achieve high efficiency and consistent weld quality, and is capable of continuous welding operations at preset parameters using automated welding equipment, typically for application scenarios requiring high repeatability and accuracy, but conventional pipeline welding often relies on preset welding parameters, lacks real-time feedback and adjustment mechanisms, and may lead to fluctuations in weld quality.
Disclosure of Invention
The present invention has been made in view of the above-mentioned problems occurring in the conventional welding temperature monitoring method and system for welding equipment.
Therefore, the problem to be solved by the present invention is that the conventional pipeline welding generally depends on preset welding parameters, and the lack of real-time feedback and adjustment mechanism may cause fluctuation of welding quality.
In order to solve the technical problems, the invention provides the following technical scheme: the welding temperature monitoring method of the welding equipment comprises the steps of measuring basic information of a welded article to establish a three-dimensional model, and drawing a preset welding temperature change curve; the monitoring host acquires welding temperature data through the temperature measuring equipment, maps the welding temperature data to the three-dimensional model, and monitors the working state of the automatic welding equipment in real time; the monitoring host draws a real-time welding temperature change curve to be compared with a preset welding temperature change curve, and management measures are implemented according to comparison results; all data is processed and stored in a database.
As a preferable scheme of the welding temperature monitoring method of the welding equipment, the invention comprises the following steps: the method comprises the steps of measuring basic information of a welded article to establish a three-dimensional model, collecting material information of the welded article, measuring geometric structure data of the welded article and welding position information before starting welding, establishing the three-dimensional model of the welded article through three-dimensional modeling software, storing the three-dimensional model in a monitoring host, and drawing a preset welding temperature change curve refers to predicting a welding temperature change drawing curve in a welding process according to the basic information of the welded article and parameter information of automatic welding equipment as a reference.
As a preferable scheme of the welding temperature monitoring method of the welding equipment, the invention comprises the following steps: the method comprises the steps that a monitoring host acquires welding temperature data through temperature measuring equipment to map to a three-dimensional model, temperature measurement calibration is carried out synchronously by using contact temperature measuring equipment and non-contact temperature measuring equipment before welding, two kinds of measurement data are compared, an error range is set, if a comparison difference value is within the error range, an average value of the two kinds of measurement data is taken as final measurement data, if the comparison difference value is out of the error range, the two kinds of temperature measuring equipment are detected and adjusted until the comparison difference value of the measurement data is within the error range, after the temperature measuring equipment is calibrated, the welding temperature data measured by the monitoring host are converted into a three-dimensional model applicable format, then an additional time stamp and space coordinates are mapped to the three-dimensional model through a mapping algorithm, and the temperature data are displayed on the three-dimensional model through data visualization processing.
As a preferable scheme of the welding temperature monitoring method of the welding equipment, the invention comprises the following steps: the real-time monitoring of the working state of the automatic welding equipment comprises the use of a built-in sensor to monitor the working current, the working voltage, the welding speed, the working temperature and the working state of a cooling system of the automatic welding equipment in real time, and the monitoring host controls the working state of the automatic welding equipment in real time and obtains the working state data of the automatic welding equipment to display through a chart.
As a preferable scheme of the welding temperature monitoring method of the welding equipment, the invention comprises the following steps: the monitoring host drawing the real-time welding temperature change curve and comparing the preset welding temperature change curve comprises drawing the real-time welding temperature change curve by using measured welding temperature data and a time stamp, and comparing the real-time welding temperature change curve with the preset welding temperature change curve:
if the comparison difference value of the real-time welding temperature change curve and the preset welding temperature change curve is always kept within the error range, the monitoring host judges that no abnormality exists;
if the comparison difference value of the real-time welding temperature change curve and the preset welding temperature change curve exceeds the error range but is within a doubling error range and within a regression error range within 3 seconds, the monitoring host judges that the welding temperature change curve is slightly abnormal;
if the comparison difference value of the real-time welding temperature change curve and the preset welding temperature change curve exceeds the one-time error range or is within the range of no regression error within 3 seconds, the monitoring host judges that the weight is abnormal.
As a preferable scheme of the welding temperature monitoring method of the welding equipment, the invention comprises the following steps: the implementation of the management measures according to the comparison result comprises the following steps:
if the monitoring host judges that the welding object is abnormal, the welding temperature is changed into a normal state in the welding process of the welding object, adjustment on the welding process is not needed, and the monitoring host stores data into a database;
if the monitoring host judges that the welding temperature change is slightly abnormal, the monitoring host indicates that the welding temperature change is slightly abnormal temporarily in the welding process of the welded article, the welding process is required to be monitored and adjusted, the monitoring host adjusts working parameters of the automatic welding equipment and informs a worker to manually monitor the automatic welding equipment and the welding process, if the comparison difference value of the real-time welding temperature change curve after the monitoring host is adjusted and the preset welding temperature change curve is within a regression error range, adjustment data are updated and displayed to the worker for checking, if the comparison difference value of the real-time welding temperature change curve after the monitoring host is adjusted and the preset welding temperature change curve is still outside the error range, the worker is informed to manually adjust the working parameters of the automatic welding equipment, and the welding temperature change is monitored in real time in the adjustment process until the comparison difference value is within the regression error range, and the monitoring host stores adjustment data and process generation adjustment records in a database;
if the monitoring host judges that the weight is abnormal, the monitoring host indicates that the temperature change is very severe or the abnormal duration time is too long in the welding process of the welded article, the monitoring host immediately closes the automatic welding equipment and sends warning signals to staff, the staff checks the abnormal reason through the monitoring host and carries out repair adjustment, the staff manually controls the automatic welding equipment to carry out welding work through the monitoring host after adjustment and monitors the welding temperature change after adjustment, if the comparison difference value of the real-time welding temperature change curve after adjustment and the preset welding temperature change curve returns to an error range, the monitoring host takes over the control right of the automatic welding equipment and starts the automatic welding work, all repair adjustment data are recorded, if the comparison difference value of the real-time welding temperature change curve after adjustment and the preset welding temperature change curve is still outside the error range, the staff stops the manual detection and repair of the welding work on the welding equipment and the welded article, the staff sends an abnormal rejection signal to the monitoring host after repair is finished, and the monitoring host starts the automatic welding equipment to continue the welding work.
As a preferable scheme of the welding temperature monitoring method of the welding equipment, the invention comprises the following steps: processing and storing all the data in a database comprises collecting all the data and storing the data in a classified mode according to the characteristics, encrypting the data, setting data access authority, and generating an access log additional time stamp for storing when a monitoring host accesses the data stored in the database.
A welding equipment welding temperature monitoring system, characterized in that: the system comprises a monitoring module, a control module, an analysis module and a storage module;
the monitoring module is used for measuring basic information of welded articles to build a three-dimensional model, and measuring welding temperature data and working states of automatic welding equipment in a welding process;
the control module is used for storing the three-dimensional model and a preset welding temperature change curve, acquiring welding temperature data, processing and mapping the welding temperature data to the three-dimensional model for display, and controlling automatic welding equipment;
the analysis module is used for drawing a real-time welding temperature change curve according to the welding temperature data, comparing the real-time welding temperature change curve with a preset welding temperature change curve and processing measures in real time;
the storage module is used for classifying and storing all data and completing the calling and recording of historical data by matching with other modules.
A computer device, comprising: a memory and a processor; the memory stores a computer program characterized in that: and the processor executes the computer program to realize the steps of the welding temperature monitoring method of the welding equipment.
A computer-readable storage medium having stored thereon a computer program, characterized by: the computer program, when executed by a processor, implements the steps of the welding temperature monitoring method of the welding device described above.
The invention has the beneficial effects that: according to the invention, by monitoring the temperature change data in the welding process and combining a three-dimensional model technology, the welding temperature change in the welding process is intuitively displayed, and is subjected to real-time comparison analysis processing, so that the welding temperature change monitoring device has real-time feedback and adjustment capability, the welding quality is improved, and the control capability on the production process is enhanced.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings required for the description of the embodiments will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
Fig. 1 is a schematic flow chart of a welding temperature monitoring method of a welding device.
Fig. 2 is a schematic structural diagram of a welding temperature monitoring system of a welding device.
Detailed Description
In order that the above-recited objects, features and advantages of the present invention will become more readily apparent, a more particular description of the invention will be rendered by reference to specific embodiments thereof which are illustrated in the appended drawings.
In the following description, numerous specific details are set forth in order to provide a thorough understanding of the present invention, but the present invention may be practiced in other ways other than those described herein, and persons skilled in the art will readily appreciate that the present invention is not limited to the specific embodiments disclosed below.
Further, reference herein to "one embodiment" or "an embodiment" means that a particular feature, structure, or characteristic can be included in at least one implementation of the invention. The appearances of the phrase "in one embodiment" in various places in the specification are not necessarily all referring to the same embodiment, nor are separate or alternative embodiments mutually exclusive of other embodiments.
Embodiment 1, referring to fig. 1, is a first embodiment of the present invention, and provides a welding temperature monitoring method of a welding device, where the welding temperature monitoring method of the welding device includes the following steps:
s1, measuring basic information of a welded article to establish a three-dimensional model, and drawing a preset welding temperature change curve;
specifically, measuring basic information of a welded article to establish a three-dimensional model comprises collecting material information of the welded article before starting welding, measuring geometric structure data of the welded article and welding position information, establishing a three-dimensional model of the welded article through three-dimensional modeling software, storing the three-dimensional model in a monitoring host, and drawing a preset welding temperature change curve refers to predicting a welding temperature change drawing curve in a welding process according to the basic information of the welded article and parameter information of automatic welding equipment as a reference.
In the process of factory assembly line welding, all welded articles have the same structure and size, and a three-dimensional model established by measuring basic information of the welded articles is the same in the process of welding all the welded articles, so that repeated establishment of the three-dimensional model is not needed, a preset welding temperature change curve has various methods, the preset welding temperature change curve can be comprehensively considered according to the aspects of materials, thickness, welding positions, welding equipment current, voltage, welding speed and the like of the welded articles, the welding temperature change curve can be drawn through historical welding temperature data, and abnormal welding temperature changes possibly occurring in the welding process can be used as a reference through the preset welding temperature change curve, so that abnormal temperature can be identified more quickly and accurately.
S2, the monitoring host acquires welding temperature data through the temperature measuring equipment, maps the welding temperature data to a three-dimensional model, and monitors the working state of the automatic welding equipment in real time;
specifically, the method for acquiring welding temperature data by the monitoring host through the temperature measuring equipment and mapping the welding temperature data to the three-dimensional model comprises the steps of synchronously carrying out temperature measurement calibration by using the contact temperature measuring equipment and the non-contact temperature measuring equipment before welding, comparing the two measurement data, setting an error range, setting the error range by a worker according to the material, the structure and the working parameters of the welding equipment of a welded article, taking the average value of the two measurement data as final measurement data if a comparison difference value is within the error range, detecting and adjusting the two temperature measuring equipment until the comparison difference value of the measurement data is within the error range if the comparison difference value is outside the error range, and mapping the additional timestamp and the space coordinate onto the three-dimensional model through a mapping algorithm after the temperature measuring equipment calibration is completed after the welding temperature data is converted into a three-dimensional model application format, and displaying the temperature data on the three-dimensional model through data visualization processing.
The contact type temperature measuring equipment is used for directly contacting the temperature sensor with welding machine materials to measure the welding temperature, a thermocouple temperature measuring method or a thermal resistance temperature measuring method is selected, the non-contact type temperature measuring equipment is used for determining the welding temperature by measuring the infrared radiation energy radiated by the welding materials, the common method is an infrared temperature measuring method and an infrared imaging temperature measuring method, meanwhile, the two temperature measuring equipment are used for measuring the welding temperature, the measuring error is effectively reduced, the measuring precision is improved, the monitoring host maps the welding temperature data onto the three-dimensional model, the data is visually displayed by data visualization processing, the worker can conveniently check and find temperature change abnormality, the temperature monitoring in the welding process is facilitated, the two measuring data are compared and fused, the data is ensured to be in an error range, the accuracy of the data is improved, if the data is not in the error range, the temperature measuring equipment is regulated, the continuous high-precision measurement is ensured, the time stamp and the space coordinate are added, the measuring data can reflect the temperature value, and the specific time and the position of the welding temperature can be displayed.
Further, the real-time monitoring of the working state of the automatic welding equipment comprises the real-time monitoring of the working current, the working voltage, the welding speed, the working temperature and the working state of a cooling system of the automatic welding equipment by using the built-in sensor, and the monitoring host controls the working state of the automatic welding equipment in real time and obtains the working state data of the automatic welding equipment to display through a chart.
The sensor for monitoring the working state of the automatic welding equipment comprises a temperature sensor, a current-voltage sensor, a cooling system sensor and the like, wherein the current is a main factor for determining the welding heat input, the higher the current is, the more the heat input is, the higher the temperature of a welding seam area is, the length and stability of a welding arc are affected by voltage, the higher the voltage is, the longer the arc length is, the welding heat affected area is wider, the welding speed determines the distribution time of heat on a weldment, the faster the speed is, the less the heat input of a single area is, the temperature is relatively lower, the cooling system maintains the equipment to operate in a safe temperature range, and a monitoring host can effectively adjust the temperature of the welding process by adjusting the working parameters of the automatic welding equipment, so that the working load of workers can be reduced by intuitively displaying data through a chart, the working efficiency is improved, and meanwhile, the possible abnormality of the welding equipment can be found in time.
S3, the monitoring host draws a real-time welding temperature change curve to be compared with a preset welding temperature change curve, and management measures are implemented according to comparison results;
specifically, the step of comparing the real-time welding temperature change curve with the preset welding temperature change curve by the monitoring host includes using the measured welding temperature data and the time stamp to draw the real-time welding temperature change curve, and comparing the real-time welding temperature change curve with the preset welding temperature change curve:
if the comparison difference value of the real-time welding temperature change curve and the preset welding temperature change curve is always in the error range, the monitoring host judges that no abnormality exists, welding can be continued without adjusting automatic welding equipment, and at the moment, the working parameters of the automatic welding equipment can be kept unchanged;
if the comparison difference value of the real-time welding temperature change curve and the preset welding temperature change curve exceeds the error range but is within a double error range and returns to the error range within 3 seconds, the monitoring host judges that the welding is slightly abnormal, which means that the automatic welding equipment or the welded article has slight abnormality but does not influence the actual welding, and the current or the voltage of the automatic welding equipment is fluctuated or the welded article is slightly swayed, so that adjustment and attention are needed, but the whole welding process is not seriously influenced;
if the comparison difference value between the real-time welding temperature change curve and the preset welding temperature change curve exceeds a doubled error range or is within a range of no regression error within 3 seconds, the monitoring host computer judges that the weight is abnormal, at the moment, the automatic welding equipment or the welding object is seriously abnormal, the welding needs to be stopped immediately, the situation that the current or the voltage is increased due to equipment short circuit caused by equipment short circuit due to equipment cooling system failure or internal short circuit can be possibly caused, the welding position error is also caused by the fact that the welding object is greatly rocked, the manual adjustment and the maintenance are needed immediately by staff, and the welding work can be carried out again after the maintenance is finished.
The error range is set for the staff, and once automatic welding equipment appears or when the welding temperature appears changing because of slight abnormality in the welding object, simply judging abnormality by the error range is insufficient, because the temperature change in the welding process has time delay and needs time to radiate or heat, therefore, given 3s of heating or radiating time can help the monitoring host to analyze and judge the abnormal grade more accurately so as to make corresponding treatment measures, the situation of judging errors is prevented, the quality and consistency of the welding process can be ensured by monitoring and comparing the welding temperature change curve in real time, the monitoring host can automatically identify normal and abnormal states according to the comparison result of the real-time curve and the preset curve, timely make adjustment, data collected for a long time can be used for analyzing and optimizing welding parameters, the efficiency and quality of the welding process are improved, and through the real-time visual curve, operators can better understand the welding process, thereby making more intelligent operation decisions.
Further, implementing the management measure according to the comparison result includes:
if the monitoring host judges that the welding object is abnormal, the welding temperature is changed into a normal state in the welding process of the welding object, adjustment on the welding process is not needed, and the monitoring host stores data into a database;
if the monitoring host judges that the welding temperature change is slightly abnormal, the monitoring host indicates that the welding temperature change is slightly abnormal temporarily in the welding process of the welded article, the welding process is required to be monitored and adjusted, the monitoring host adjusts working parameters of the automatic welding equipment and informs a worker to manually monitor the automatic welding equipment and the welding process, if the comparison difference value of the real-time welding temperature change curve after the monitoring host is adjusted and the preset welding temperature change curve is within a regression error range, adjustment data are updated and displayed to the worker for checking, if the comparison difference value of the real-time welding temperature change curve after the monitoring host is adjusted and the preset welding temperature change curve is still outside the error range, the worker is informed to manually adjust the working parameters of the automatic welding equipment, and the welding temperature change is monitored in real time in the adjustment process until the comparison difference value is within the regression error range, and the monitoring host stores adjustment data and process generation adjustment records in a database;
if the monitoring host judges that the weight is abnormal, the monitoring host indicates that the temperature change is very severe or the abnormal duration time is too long in the welding process of the welded article, the monitoring host immediately closes the automatic welding equipment and sends warning signals to staff, the staff checks the abnormal reason through the monitoring host and carries out repair adjustment, the staff manually controls the automatic welding equipment to carry out welding work through the monitoring host after adjustment and monitors the welding temperature change after adjustment, if the comparison difference value of the real-time welding temperature change curve after adjustment and the preset welding temperature change curve returns to an error range, the monitoring host takes over the control right of the automatic welding equipment and starts the automatic welding work, all repair adjustment data are recorded, if the comparison difference value of the real-time welding temperature change curve after adjustment and the preset welding temperature change curve is still outside the error range, the staff stops the manual detection and repair of the welding work on the welding equipment and the welded article, the staff sends an abnormal rejection signal to the monitoring host after repair is finished, and the monitoring host starts the automatic welding equipment to continue the welding work.
By monitoring the welding temperature and comparing the welding temperature with a preset curve, the accurate control of the welding process can be realized, the dynamic monitoring and real-time adjusting mechanism can ensure that the welding quality always meets the preset standard, and the system can respond differently according to temperature anomalies of different degrees, which is particularly important in occasions with high-precision welding requirements. The method is beneficial to preventing potential welding defects, improving the safety of the whole welding process, reducing downtime and rejection rate caused by welding quality problems through real-time monitoring and timely adjustment, improving the overall production efficiency and cost efficiency, storing all welding data, adjustment records and abnormal conditions in a database, facilitating future analysis, fault diagnosis and process optimization, and improving the reliability and stability of the whole welding process and ensuring the welding quality and efficiency through accurately controlling the welding temperature and timely coping with the abnormal conditions.
S4, processing all the data and storing the processed data in a database;
specifically, processing and storing all data in a database includes collecting all data and storing the data in a classified mode according to characteristics, encrypting the data, setting data access rights, and generating an access log additional timestamp to store when a monitoring host accesses the data stored in the database.
Embodiment 2 referring to fig. 2, in a second embodiment of the present invention, which is different from the previous embodiment, a welding temperature monitoring system of a welding device is provided, including a monitoring module, a control module, an analysis module, and a storage module;
the monitoring module is used for measuring basic information of welded articles to build a three-dimensional model, and measuring welding temperature data and working states of automatic welding equipment in a welding process;
the control module is used for storing the three-dimensional model and a preset welding temperature change curve, acquiring welding temperature data, processing and mapping the welding temperature data to the three-dimensional model for display, and controlling automatic welding equipment;
the analysis module is used for drawing a real-time welding temperature change curve according to the welding temperature data, comparing the real-time welding temperature change curve with a preset welding temperature change curve and processing measures in real time;
the storage module is used for classifying and storing all data and completing the calling and recording of historical data by matching with other modules.
The functions, if implemented in the form of software functional units and sold or used as a stand-alone product, may be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention may be embodied essentially or in a part contributing to the prior art or in a part of the technical solution, in the form of a software product stored in a storage medium, comprising several instructions for causing a computer device (which may be a personal computer, a server, a network device, etc.) to perform all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a random access Memory (RAM, random Access Memory), a magnetic disk, or an optical disk, or other various media capable of storing program codes.
Logic and/or steps represented in the flowcharts or otherwise described herein, e.g., a ordered listing of executable instructions for implementing logical functions, can be embodied in any computer-readable medium for use by or in connection with an instruction execution system, apparatus, or device, such as a computer-based system, processor-containing system, or other system that can fetch the instructions from the instruction execution system, apparatus, or device and execute the instructions. For the purposes of this description, a "computer-readable medium" can be any means that can contain, store, communicate, propagate, or transport the program for use by or in connection with the instruction execution system, apparatus, or device.
More specific examples (a non-exhaustive list) of the computer-readable medium would include the following: an electrical connection (electronic device) having one or more wires, a portable computer diskette (magnetic device), a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber device, and a portable compact disc read-only memory (CDROM). In addition, the computer readable medium may even be paper or other suitable medium on which the program is printed, as the program may be electronically captured, via, for instance, optical scanning of the paper or other medium, then compiled, interpreted or otherwise processed in a suitable manner, if necessary, and then stored in a computer memory.
It is to be understood that portions of the present invention may be implemented in hardware, software, firmware, or a combination thereof. In the above embodiments, the various steps or methods may be implemented in software or firmware stored in a memory and executed by a suitable instruction execution system. For example, if implemented in hardware, as in another embodiment, may be implemented using any one or combination of the following techniques, as is known in the art: discrete logic circuits having logic gates for implementing logic functions on data signals, application specific integrated circuits having suitable combinational logic gates, programmable Gate Arrays (PGAs), field Programmable Gate Arrays (FPGAs), and the like.
Example 3, a third example of the invention, which differs from the first two examples, demonstrates the benefit of the process of the invention by comparing the process with the prior art, the comparison results being shown in tables 1 and 2.
Table 1: the method of the invention is compared with the prior art demonstration table
Table 2: comparison table of the inventive method with prior art experiments
Compared with the prior art, the invention has obvious advantages in the aspects of real-time temperature monitoring, data processing, exception handling, safety, production efficiency, man-machine cooperation, quality assurance, continuous improvement of data driving and the like, improves the efficiency and safety of the whole production flow, and has important promotion effect on the welding process in the modern manufacturing industry.
It should be noted that the above embodiments are only for illustrating the technical solution of the present invention and not for limiting the same, and although the present invention has been described in detail with reference to the preferred embodiments, it should be understood by those skilled in the art that the technical solution of the present invention may be modified or substituted without departing from the spirit and scope of the technical solution of the present invention, which is intended to be covered in the scope of the claims of the present invention.
Claims (10)
1. A welding temperature monitoring method of welding equipment is characterized in that: comprising the steps of (a) a step of,
measuring basic information of a welded article to establish a three-dimensional model, and drawing a preset welding temperature change curve;
the monitoring host acquires welding temperature data through the temperature measuring equipment, maps the welding temperature data to the three-dimensional model, and monitors the working state of the automatic welding equipment in real time;
the monitoring host draws a real-time welding temperature change curve to be compared with a preset welding temperature change curve, and management measures are implemented according to comparison results;
all data is processed and stored in a database.
2. The welding temperature monitoring method of a welding apparatus according to claim 1, wherein: the method comprises the steps of measuring basic information of a welded article to establish a three-dimensional model, collecting material information of the welded article, measuring geometric structure data of the welded article and welding position information before starting welding, establishing the three-dimensional model of the welded article through three-dimensional modeling software, storing the three-dimensional model in a monitoring host, and drawing a preset welding temperature change curve refers to predicting a welding temperature change drawing curve in a welding process according to the basic information of the welded article and parameter information of automatic welding equipment as a reference.
3. The welding temperature monitoring method of a welding apparatus according to claim 2, wherein: the method comprises the steps that a monitoring host acquires welding temperature data through temperature measuring equipment to map to a three-dimensional model, temperature measurement calibration is carried out synchronously by using contact temperature measuring equipment and non-contact temperature measuring equipment before welding, two kinds of measurement data are compared, an error range is set, if a comparison difference value is within the error range, an average value of the two kinds of measurement data is taken as final measurement data, if the comparison difference value is out of the error range, the two kinds of temperature measuring equipment are detected and adjusted until the comparison difference value of the measurement data is within the error range, after the temperature measuring equipment is calibrated, the welding temperature data measured by the monitoring host are converted into a three-dimensional model applicable format, then an additional time stamp and space coordinates are mapped to the three-dimensional model through a mapping algorithm, and the temperature data are displayed on the three-dimensional model through data visualization processing.
4. A welding temperature monitoring method for a welding apparatus according to claim 3, wherein: the real-time monitoring of the working state of the automatic welding equipment comprises the use of a built-in sensor to monitor the working current, the working voltage, the welding speed, the working temperature and the working state of a cooling system of the automatic welding equipment in real time, and the monitoring host controls the working state of the automatic welding equipment in real time and obtains the working state data of the automatic welding equipment to display through a chart.
5. The welding temperature monitoring method of a welding apparatus according to claim 4, wherein: the monitoring host drawing the real-time welding temperature change curve and comparing the preset welding temperature change curve comprises drawing the real-time welding temperature change curve by using measured welding temperature data and a time stamp, and comparing the real-time welding temperature change curve with the preset welding temperature change curve:
if the comparison difference value of the real-time welding temperature change curve and the preset welding temperature change curve is always kept within the error range, the monitoring host judges that no abnormality exists;
if the comparison difference value of the real-time welding temperature change curve and the preset welding temperature change curve exceeds the error range but is within a doubling error range and within a regression error range within 3 seconds, the monitoring host judges that the welding temperature change curve is slightly abnormal;
if the comparison difference value of the real-time welding temperature change curve and the preset welding temperature change curve exceeds the one-time error range or is within the range of no regression error within 3 seconds, the monitoring host judges that the weight is abnormal.
6. The welding temperature monitoring method of a welding apparatus according to claim 5, wherein: the implementation of the management measures according to the comparison result comprises the following steps:
if the monitoring host judges that the welding object is abnormal, the welding temperature is changed into a normal state in the welding process of the welding object, adjustment on the welding process is not needed, and the monitoring host stores data into a database;
if the monitoring host judges that the welding temperature change is slightly abnormal, the monitoring host indicates that the welding temperature change is slightly abnormal temporarily in the welding process of the welded article, the welding process is required to be monitored and adjusted, the monitoring host adjusts working parameters of the automatic welding equipment and informs a worker to manually monitor the automatic welding equipment and the welding process, if the comparison difference value of the real-time welding temperature change curve after the monitoring host is adjusted and the preset welding temperature change curve is within a regression error range, adjustment data are updated and displayed to the worker for checking, if the comparison difference value of the real-time welding temperature change curve after the monitoring host is adjusted and the preset welding temperature change curve is still outside the error range, the worker is informed to manually adjust the working parameters of the automatic welding equipment, and the welding temperature change is monitored in real time in the adjustment process until the comparison difference value is within the regression error range, and the monitoring host stores adjustment data and process generation adjustment records in a database;
if the monitoring host judges that the weight is abnormal, the monitoring host indicates that the temperature change is very severe or the abnormal duration time is too long in the welding process of the welded article, the monitoring host immediately closes the automatic welding equipment and sends warning signals to staff, the staff checks the abnormal reason through the monitoring host and carries out repair adjustment, the staff manually controls the automatic welding equipment to carry out welding work through the monitoring host after adjustment and monitors the welding temperature change after adjustment, if the comparison difference value of the real-time welding temperature change curve after adjustment and the preset welding temperature change curve returns to an error range, the monitoring host takes over the control right of the automatic welding equipment and starts the automatic welding work, all repair adjustment data are recorded, if the comparison difference value of the real-time welding temperature change curve after adjustment and the preset welding temperature change curve is still outside the error range, the staff stops the manual detection and repair of the welding work on the welding equipment and the welded article, the staff sends an abnormal rejection signal to the monitoring host after repair is finished, and the monitoring host starts the automatic welding equipment to continue the welding work.
7. The welding temperature monitoring method of a welding apparatus of claim 6, wherein: processing and storing all the data in a database comprises collecting all the data and storing the data in a classified mode according to the characteristics, encrypting the data, setting data access authority, and generating an access log additional time stamp for storing when a monitoring host accesses the data stored in the database.
8. A welding equipment welding temperature monitoring system, characterized in that: the system comprises a monitoring module, a control module, an analysis module and a storage module;
the monitoring module is used for measuring basic information of welded articles to build a three-dimensional model, and measuring welding temperature data and working states of automatic welding equipment in a welding process;
the control module is used for storing the three-dimensional model and a preset welding temperature change curve, acquiring welding temperature data, processing and mapping the welding temperature data to the three-dimensional model for display, and controlling automatic welding equipment;
the analysis module is used for drawing a real-time welding temperature change curve according to the welding temperature data, comparing the real-time welding temperature change curve with a preset welding temperature change curve and processing measures in real time;
the storage module is used for classifying and storing all data and completing the calling and recording of historical data by matching with other modules.
9. A computer device, comprising: a memory and a processor; the memory stores a computer program characterized in that: the processor, when executing the computer program, implements the steps of the method of any one of claims 1 to 7.
10. A computer-readable storage medium having stored thereon a computer program, characterized by: the computer program implementing the steps of the method of any of claims 1 to 7 when executed by a processor.
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