CN115502619A - Temperature monitoring system for longitudinal seam welding of pressure vessel cylinder - Google Patents
Temperature monitoring system for longitudinal seam welding of pressure vessel cylinder Download PDFInfo
- Publication number
- CN115502619A CN115502619A CN202211185172.1A CN202211185172A CN115502619A CN 115502619 A CN115502619 A CN 115502619A CN 202211185172 A CN202211185172 A CN 202211185172A CN 115502619 A CN115502619 A CN 115502619A
- Authority
- CN
- China
- Prior art keywords
- temperature
- longitudinal seam
- data
- stage
- module
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
Images
Classifications
-
- 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
- B23K37/00—Auxiliary devices or processes, not specially adapted to a procedure covered by only one of the preceding main groups
-
- 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
- B23K2101/00—Articles made by soldering, welding or cutting
- B23K2101/04—Tubular or hollow articles
- B23K2101/12—Vessels
Landscapes
- Physics & Mathematics (AREA)
- Optics & Photonics (AREA)
- Engineering & Computer Science (AREA)
- Mechanical Engineering (AREA)
- Radiation Pyrometers (AREA)
- Investigating Or Analyzing Materials Using Thermal Means (AREA)
Abstract
The invention provides a temperature monitoring system for longitudinal seam welding of a pressure vessel cylinder, which relates to the technical field of welding and comprises acquisition hardware, a temperature measurement center and a control system, wherein the acquisition hardware comprises an infrared temperature measurement probe and a CCD camera array, and the temperature measurement center comprises a CPU processing module, a display, a signal acquisition module, a model comparison module and a cloud database; the invention measures the three-stage temperature in the longitudinal seam welding process of the cylinder body by infrared, shoots the image data during the three-stage heating, and has a standard image database for the three-stage heating, determines the heating temperature and the heating range by extracting the pixel characteristics and the texture characteristics of the longitudinal seam area of the image data and comparing the characteristics with the characteristics of the standard image of the corresponding stage, combines the data of the infrared measurement, diversifies the source of the monitoring data, synthesizes direct measurement and image analysis, has more accurate monitoring conclusion, and can not cause the failure of the integral monitoring when a single data source fails.
Description
Technical Field
The invention relates to the technical field of welding, in particular to a temperature monitoring system for longitudinal seam welding of a pressure vessel cylinder.
Background
The pressure container is an important device commonly used in various departments of national economy such as energy industry, scientific research, petrochemical industry and the like, generally comprises a cylinder body, a seal head, a flange, a sealing element, an opening, a connecting pipe, a support and the like, wherein the cylinder body is the most important element, the most key process for manufacturing the pressure container is welding, the specified areas of the cylinder body, which are away from the center of a longitudinal joint, are preheated before the longitudinal joint of the cylinder body is welded in order to reduce welding stress and improve the crack resistance of a welding joint, when the preheating temperature meets the process requirement, the welding can be carried out, otherwise, the temperature is too low, the crack occurrence rate is increased, the temperature is too high, and the labor condition is easy to deteriorate, the production of cold cracks is intensified, meanwhile, the interlayer temperature is controlled within the process requirement range during welding, too high interlayer temperature can cause large grains in a heat affected zone, so that the strength and the low-temperature impact toughness of a welding seam are reduced, cracks are possibly generated in the welding process if the interlayer temperature is lower than the preheating temperature, and after-heat treatment is needed for preventing delayed cracks generated in the quenching process after welding, so that the monitoring of the preheating temperature, the interlayer temperature and the after-heat temperature in the longitudinal seam welding process of the whole pressure vessel cylinder is very important, and the method is a necessary means for ensuring the quality of the welding seam, improving the productivity of enterprises and meeting the use requirement of the pressure vessel;
in the prior art, for example, CN 105499854B discloses "a temperature monitoring system for longitudinal seam welding of a pressure vessel cylinder", and specifically discloses: the temperature measuring probe is directly adsorbed to the cylinder through the magnet, the terminal acquires and controls the real-time display function and the signal lamp reminding function of the equipment, the reasonable operation of field workers is ensured, and the whole system timely and accurately records and stores the temperature information and the time information of preheating, interlayer heating and postheating in the longitudinal seam welding process of the pressure vessel cylinder by means of a wireless network; however, in the above technology, temperature monitoring is mainly performed by temperature measurement, the source of monitoring data is single, once a temperature measuring probe fails, monitoring is completely disabled, and the temperature measuring probe is directly arranged on the cylinder and is easily damaged by heating.
Disclosure of Invention
In order to solve the problems, the invention provides the temperature monitoring system for the longitudinal seam welding of the pressure vessel cylinder, the monitoring data sources of the temperature monitoring system for the longitudinal seam welding of the pressure vessel cylinder are diversified, direct measurement and image analysis are integrated, the monitoring conclusion is more accurate, and when a single data source fails, the integral monitoring failure cannot be caused.
In order to realize the purpose of the invention, the invention is realized by the following technical scheme: the temperature monitoring system for the longitudinal seam welding of the pressure vessel cylinder comprises acquisition hardware, a temperature measurement center and a control system, wherein the acquisition hardware comprises an infrared temperature measurement probe and a CCD camera array, and the temperature measurement center comprises a CPU processing module, a display, a signal acquisition module, a model comparison module and a cloud database;
the infrared temperature measuring probe is used for remotely measuring three-stage temperature in the longitudinal seam welding process of the barrel in an infrared mode, signals are transmitted to the signal acquisition module through a wire, the CCD camera array is used for shooting image data during three-stage heating in the longitudinal seam welding process of the barrel and transmitting the data to the signal acquisition module through the wire, standard image data which change along with the temperature during three-stage heating in the longitudinal seam welding process of the barrel are stored in the cloud database, the CPU processing module is used for analyzing and processing the data acquired by the signal acquisition module, the model comparison module is used for modeling the analyzed and processed image data into a barrel model and displaying the barrel model on the display, pixel characteristics and texture characteristics of the longitudinal seam area of the image data at the current stage are extracted, the pixel characteristics and the texture characteristics of the standard image data at the corresponding stage in the cloud database are synchronously extracted, the heating temperature and the heating range are determined through comparison, and the monitoring conclusion is comprehensively obtained through combining the data measured by the infrared temperature measuring probe.
The further improvement is that: the three-stage temperature in the welding process of the longitudinal seam of the cylinder body comprises the following steps: preheat temperature, interlayer temperature, and post heat temperature.
The further improvement is that: the infrared temperature measuring probe and the CCD camera array are both positioned above the cylinder body to be welded, and the measuring ends of the infrared temperature measuring probe and the CCD camera array face the longitudinal seam of the cylinder body and are not in contact with the cylinder body.
The further improvement lies in that: the CPU processing module comprises a signal conversion module and an image processing module, wherein the signal conversion module is used for calculating signals measured by the infrared temperature measuring probe, converting the signals into temperature data of the measured cylinder, displaying the temperature data on the display, synchronously marking time and providing an inquiry function.
The further improvement lies in that: the image processing module is used for carrying out noise reduction processing on image data shot by the CCD camera array, adjusting resolution ratio by utilizing convolution operation, displaying the image data on a display, synchronously marking time and providing a query function.
The further improvement lies in that: the signal acquisition module adopts double wires to respectively collect data with the infrared temperature measurement probe and the CCD camera array by shunting.
The further improvement is that: the model comparison module comprises a modeling module, a feature extraction module and a comparison module, the modeling module utilizes BIM application to construct a 3D dynamic model based on image data processed by the image processing module, the feature extraction module utilizes an HOG feature extraction algorithm to extract image color features of a barrel longitudinal seam at the current stage, utilizes filtering and density analysis processes to extract texture features of an image at the barrel longitudinal seam at the previous stage, directly extracts heating range data, synthesizes the data to serve as stage vector data, displays a spectral image at the current stage at a longitudinal seam welding position of the 3D dynamic model to serve as heating range display, and synchronously extracts the color features and the texture features of image data which are lower than the standard temperature and higher than the standard temperature and range data at the corresponding stage in a cloud database to serve as vector comparison data.
The further improvement is that: the comparison module is used for comparing the vector data of the stage with the vector comparison data, judging whether the heating temperature at the longitudinal seam of the stage meets the standard temperature, judging whether the heating temperature is higher than or lower than the standard temperature and judging whether the heating range meets the standard, and also comprises a conclusion output module which synchronizes the temperature value of the current stage detected by the infrared temperature measuring probe, comprehensively judges a conclusion, outputs a total monitoring conclusion and displays the total monitoring conclusion on a display.
The further improvement lies in that: the cloud database is connected to the Internet, and is used for searching standard image data which change along with temperature when the barrel longitudinal joint is heated in three stages in the welding process in the network, providing a personal uploading space for uploading the acquired standard image data heated in three stages in the barrel longitudinal joint welding process in personal actual operation.
The further improvement is that: the control system comprises an alarm module and a switch controller, the control system is connected to the model comparison module, the alarm module is used for sending an alarm prompt through a display when the monitoring conclusion is abnormal, and the switch controller is used for controlling the heater and stopping welding when the monitoring conclusion is abnormal.
The beneficial effects of the invention are as follows:
1. the invention measures the three-stage temperature in the longitudinal seam welding process of the cylinder body by infrared, shoots the image data during the three-stage heating, and has a standard image database for the three-stage heating, determines the heating temperature and the heating range by extracting the pixel characteristics and the texture characteristics of the longitudinal seam area of the image data and comparing the characteristics with the characteristics of the standard image of the corresponding stage, combines the data of the infrared measurement, diversifies the source of the monitoring data, synthesizes direct measurement and image analysis, has more accurate monitoring conclusion, and can not cause the failure of the integral monitoring when a single data source fails.
2. The infrared temperature measuring probe remotely and infrared measures the three-stage temperature in the longitudinal seam welding process of the cylinder, the CCD camera array is suspended to shoot image data of the cylinder during the three-stage heating in the longitudinal seam welding process, and the cylinder is not directly contacted with the cylinder, is not heated and is not easy to damage.
3. According to the invention, a 3D dynamic model is constructed, and a spectrum image of the current stage is displayed and is used as the display of the heating range, so that a manager can visually know the heating range, and then the heating range is compared with the standard range of a cloud database to judge whether the heating range meets the standard or not, and the monitoring data is diversified.
Drawings
FIG. 1 is a schematic view of the present invention;
fig. 2 is a schematic diagram of acquisition hardware of the present invention.
Detailed Description
For the purpose of enhancing understanding of the present invention, the present invention will be further described in detail with reference to the following examples, which are provided for illustration only and are not intended to limit the scope of the present invention.
Example one
According to the embodiments shown in fig. 1 and 2, the temperature monitoring system for longitudinal seam welding of the pressure vessel cylinder is provided, and includes acquisition hardware, a temperature measurement center and a control system, wherein the acquisition hardware includes an infrared temperature measurement probe and a CCD camera array, and the temperature measurement center includes a CPU processing module, a display, a signal acquisition module, a model comparison module and a cloud database;
the infrared temperature measuring probe is used for remotely measuring three-stage temperature in the longitudinal seam welding process of the barrel in an infrared mode, signals are transmitted to the signal acquisition module through a wire, the CCD camera array is used for shooting image data during three-stage heating in the longitudinal seam welding process of the barrel and transmitting the data to the signal acquisition module through the wire, standard image data which change along with the temperature during three-stage heating in the longitudinal seam welding process of the barrel are stored in the cloud database, the CPU processing module is used for analyzing and processing the data acquired by the signal acquisition module, the model comparison module is used for modeling the image data after analysis processing into a barrel model and displaying the barrel model on the display, pixel characteristics and texture characteristics of the longitudinal seam area of the image data at the current stage are extracted, the pixel characteristics and the texture characteristics of the standard image data at the corresponding stage in the cloud database are synchronously extracted, the heating temperature and the heating range are determined through comparison, and the monitoring conclusion is comprehensively obtained through combining the data measured by the infrared temperature measuring probe. According to the invention, the three-stage temperature in the longitudinal seam welding process of the cylinder is remotely and infrared measured by the infrared temperature measuring probe, the image data of the cylinder during three-stage heating in the longitudinal seam welding process is shot by the CCD camera array, the standard image data of the three-stage heating in the longitudinal seam welding process of the cylinder is stored by the cloud database, the pixel characteristics and the texture characteristics of the longitudinal seam region of the image data are extracted by the model comparison module, and the pixel characteristics and the texture characteristics of the standard image data of the corresponding stage in the cloud database are synchronously extracted, so that the heating temperature and the heating range are conveniently determined by comparison, and the monitoring data sources are diversified by combining the data measured by the infrared temperature measuring probe, the direct measurement and the image analysis are integrated, the monitoring conclusion is more accurate, and the integral monitoring failure cannot be caused when a single data source fails. And the infrared temperature measuring probe remotely measures the three-stage temperature in the longitudinal seam welding process of the cylinder body, and the CCD camera array is hung in the air to shoot image data of the cylinder body during the three-stage heating in the longitudinal seam welding process, so that the infrared temperature measuring probe is not in direct contact with the cylinder body, is not heated and is not easy to damage.
The three-stage temperature in the welding process of the longitudinal seam of the cylinder comprises the following steps: preheat temperature, interlayer temperature, and post heat temperature.
The infrared temperature measuring probe and the CCD camera array are both positioned above the cylinder body to be welded, and the measuring ends of the infrared temperature measuring probe and the CCD camera array face the longitudinal seam of the cylinder body and are not in contact with the cylinder body.
The CPU processing module comprises a signal conversion module and an image processing module, wherein the signal conversion module is used for calculating signals measured by the infrared temperature measuring probe, converting the signals into temperature data of the measured cylinder, displaying the temperature data on the display, synchronously marking time and providing an inquiry function.
The image processing module is used for carrying out noise reduction processing on image data shot by the CCD camera array, adjusting resolution ratio by utilizing convolution operation, displaying the image data on a display, synchronously marking time and providing a query function. The noise reduction method specifically comprises the following steps: adopting a bilateral filtering method, taking a 3 × 3 neighborhood around a target pixel as an example, taking the average value of the gray values of nine pixels in the 3 × 3 neighborhood as the gray value of the target pixel, then changing the average value into a Gaussian weighted average value, generating a Gaussian template when the gray value of the pixel farther away from the target pixel in the neighborhood has smaller weight, and then further subtracting the influence of the gray gradient of the pixel in weight design so as to obtain an image after noise reduction; the resolution is specifically adjusted as follows: utilizing a Laplace operator to enhance the image, utilizing secondary differentiation of the image to exfoliate the image, and utilizing the secondary differentiation to exfoliate the image, namely utilizing neighborhood pixels to improve the contrast; and then, by a hyper-resolution algorithm SRCNN, based on a convolutional neural network, taking an original video image as input, increasing the resolution to a set value by using an up-sampling algorithm, and enhancing the resolution of the image through convolution operation.
The signal acquisition module adopts double wires to respectively collect data with the infrared temperature measurement probe and the CCD camera array by shunting.
The model comparison module comprises a modeling module, a feature extraction module and a comparison module, wherein the modeling module utilizes BIM application to construct a 3D dynamic model based on image data processed by the image processing module, and specifically comprises the following steps: adopting REVIT software to perform modeling processing, firstly setting elevation and axis network, and then importing image data to realize arbitrary scaling, multi-angle viewing and dynamic adjustment functions;
the characteristic extraction module extracts color characteristics of an image at a longitudinal seam of the cylinder body at the current stage by using an HOG characteristic extraction algorithm, extracts texture characteristics of the image at the longitudinal seam of the cylinder body at the previous stage by using a filtering and density analysis process, directly extracts heating range data, comprehensively serves as stage vector data, displays a spectral image at the current stage at a longitudinal seam welding position of the 3D dynamic model, serves as the heating range to be displayed, and synchronously extracts color characteristics and texture characteristics of corresponding stage standard temperature and image data which is lower than the standard temperature and higher than the standard temperature in a cloud database, and range data, and serves as vector comparison data. According to the invention, based on image data, a 3D dynamic model is constructed by using BIM application, heating range data is extracted by using a characteristic extraction module, and a spectral image of the current stage is displayed at a longitudinal seam welding part of the 3D dynamic model and is used as the display of the heating range, so that managers can conveniently and visually know the heating range. Wherein, an object to be detected is grayed (the image is regarded as a three-dimensional image of x, y and z (gray scale)) by using an HOG feature extraction algorithm; performing Gamma correction on input imageStandardizing a color space, adjusting the contrast of an image, reducing the influence caused by local shadow and illumination change of the image, and then calculating the gradient (including the size and the direction) of each pixel of the image; capturing contour information to further weaken the interference of illumination; dividing the image into small cells (e.g., 6 by 6 pixels/cell); counting the gradient histogram (the number of different gradients) of each cell to form a descriptor of each cell; forming each plurality of cells into a block (for example, 3 × 3 cells/block), and connecting the feature descriptors of all the cells in the block in series to obtain the HOG feature descriptor of the block; connecting HOG characteristic descriptors of all blocks in the target in series to obtain HOG characteristic descriptors of the target, namely characteristic vectors, so as to obtain color characteristics; then, filtering the image, placing the texture result obtained by filtering and extracting the image in an ARCGIS for density analysis, determining the texture roughness of the image, solving a second derivative of the spectrum of the image, writing a second derivative operation algorithm in ENVI IDL, and enhancing the characteristic value of the image, wherein the second derivative algorithm is as follows: derm (flash [, S ]) and]) S) represents spectral, and the second derivative formula y "= d2 y/dx is input in ENVI IDL 2 And programming to complete the second derivative calculation of the image, and then converting the characteristic value of the image into grid data by using an overlap logic analysis method to determine the texture characteristic.
The comparison module is used for comparing the phase vector data with the vector comparison data, judging whether the heating temperature at the longitudinal seam of the phase meets the standard temperature, judging whether the heating temperature is higher than or lower than the standard temperature, judging whether the heating range meets the standard, and monitoring data is diversified.
The cloud database is connected to the Internet, standard image data which change along with temperature when three-stage heating is carried out in the welding process of the longitudinal seam of the cylinder in the network are searched, and the cloud database provides a personal uploading space for uploading the collected standard image data of three-stage heating in the welding process of the longitudinal seam of the cylinder in personal actual operation. The data sources are diversified, and the function of personal update is provided, so that the data is representative.
Example two
According to the embodiments shown in fig. 1 and 2, the temperature monitoring system for longitudinal seam welding of the pressure vessel cylinder is provided, and includes acquisition hardware, a temperature measurement center and a control system, wherein the acquisition hardware includes an infrared temperature measurement probe and a CCD camera array, and the temperature measurement center includes a CPU processing module, a display, a signal acquisition module, a model comparison module and a cloud database;
the infrared temperature measuring probe is used for remotely measuring three-stage temperature in the longitudinal seam welding process of the barrel in an infrared mode, signals are transmitted to the signal acquisition module through a wire, the CCD camera array is used for shooting image data during three-stage heating in the longitudinal seam welding process of the barrel and transmitting the data to the signal acquisition module through the wire, standard image data which change along with the temperature during three-stage heating in the longitudinal seam welding process of the barrel are stored in the cloud database, the CPU processing module is used for analyzing and processing the data acquired by the signal acquisition module, the model comparison module is used for modeling the analyzed and processed image data into a barrel model and displaying the barrel model on the display, pixel characteristics and texture characteristics of the longitudinal seam area of the image data at the current stage are extracted, the pixel characteristics and the texture characteristics of the standard image data at the corresponding stage in the cloud database are synchronously extracted, the heating temperature and the heating range are determined through comparison, and the monitoring conclusion is comprehensively obtained through combining the data measured by the infrared temperature measuring probe. According to the invention, the three-stage temperature in the longitudinal seam welding process of the cylinder is remotely and infrared measured by the infrared temperature measuring probe, the image data of the cylinder during three-stage heating in the longitudinal seam welding process is shot by the CCD camera array, the standard image data of the three-stage heating in the longitudinal seam welding process of the cylinder is stored by the cloud database, the pixel characteristics and the texture characteristics of the longitudinal seam region of the image data are extracted by the model comparison module, and the pixel characteristics and the texture characteristics of the standard image data of the corresponding stage in the cloud database are synchronously extracted, so that the heating temperature and the heating range are conveniently determined by comparison, and the monitoring data source is diversified, the direct measurement and the image analysis are integrated, the monitoring conclusion is more accurate, and when a single data source fails, the integral monitoring failure cannot be caused. The infrared temperature measuring probe remotely measures the three-stage temperature in the longitudinal seam welding process of the cylinder body, and the CCD camera array is hung in the air to shoot image data of the cylinder body during the three-stage heating in the longitudinal seam welding process, is not in direct contact with the cylinder body, is not heated and is not easy to damage.
The three-stage temperature in the welding process of the longitudinal seam of the cylinder comprises the following steps: preheat temperature, interlayer temperature, and post heat temperature.
The control system comprises an alarm module and a switch controller, the control system is connected to a model comparison module, the alarm module is used for sending an alarm prompt through a display when the monitoring conclusion is abnormal, and the switch controller is used for controlling the heater and stopping welding when the monitoring conclusion is abnormal. The automatic alarm, the control of the heater and the stop and stop of welding are facilitated according to the monitored conclusion, the standard stability of the longitudinal seam welding process is ensured, and the longitudinal seam welding quality is improved.
According to the invention, the three-stage temperature in the longitudinal seam welding process of the cylinder is remotely and infrared measured by the infrared temperature measuring probe, the image data of the cylinder during three-stage heating in the longitudinal seam welding process is shot by the CCD camera array, the standard image data of the three-stage heating in the longitudinal seam welding process of the cylinder is stored by the cloud database, the pixel characteristics and the texture characteristics of the longitudinal seam region of the image data are extracted by the model comparison module, and the pixel characteristics and the texture characteristics of the standard image data of the corresponding stage in the cloud database are synchronously extracted, so that the heating temperature and the heating range are conveniently determined by comparison, and the monitoring data sources are diversified by combining the data measured by the infrared temperature measuring probe, the direct measurement and the image analysis are integrated, the monitoring conclusion is more accurate, and the integral monitoring failure cannot be caused when a single data source fails. And the infrared temperature measuring probe remotely measures the three-stage temperature in the longitudinal seam welding process of the cylinder body, and the CCD camera array is hung in the air to shoot image data of the cylinder body during the three-stage heating in the longitudinal seam welding process, so that the infrared temperature measuring probe is not in direct contact with the cylinder body, is not heated and is not easy to damage. Meanwhile, the invention utilizes BIM application to construct a 3D dynamic model based on image data, utilizes a feature extraction module to extract heating range data, and displays a spectral image of the current stage at a longitudinal seam welding position of the 3D dynamic model as the display of the heating range, so that managers can visually know the heating range, and then compares the heating range with a standard range of a cloud database to judge whether the heating range meets the standard or not, and monitor the diversification of data.
The foregoing illustrates and describes the principles, general features, and advantages of the present invention. It will be understood by those skilled in the art that the present invention is not limited to the embodiments described above, which are given by way of illustration of the principles of the present invention, but that various changes and modifications may be made without departing from the spirit and scope of the invention, and such changes and modifications are within the scope of the invention as claimed. The scope of the invention is defined by the appended claims and equivalents thereof.
Claims (10)
1. A temperature monitoring system for pressure vessel barrel longitudinal joint welding, including gathering hardware, temperature measurement center and control system, its characterized in that: the acquisition hardware comprises an infrared temperature measurement probe and a CCD camera array, and the temperature measurement center comprises a CPU processing module, a display, a signal acquisition module, a model comparison module and a cloud database;
the infrared temperature measuring probe is used for remotely measuring three-stage temperature in the longitudinal seam welding process of the barrel in an infrared mode, signals are transmitted to the signal acquisition module through a wire, the CCD camera array is used for shooting image data during three-stage heating in the longitudinal seam welding process of the barrel and transmitting the data to the signal acquisition module through the wire, standard image data which change along with the temperature during three-stage heating in the longitudinal seam welding process of the barrel are stored in the cloud database, the CPU processing module is used for analyzing and processing the data acquired by the signal acquisition module, the model comparison module is used for modeling the analyzed and processed image data into a barrel model and displaying the barrel model on the display, pixel characteristics and texture characteristics of the longitudinal seam area of the image data at the current stage are extracted, the pixel characteristics and the texture characteristics of the standard image data at the corresponding stage in the cloud database are synchronously extracted, the heating temperature and the heating range are determined through comparison, and the monitoring conclusion is comprehensively obtained through combining the data measured by the infrared temperature measuring probe.
2. The temperature monitoring system for longitudinal seam welding of a pressure vessel cylinder of claim 1, wherein: the three-stage temperature in the welding process of the longitudinal seam of the cylinder body comprises the following steps: preheat temperature, interlayer temperature, and post heat temperature.
3. The temperature monitoring system for longitudinal seam welding of a pressure vessel cylinder of claim 2, wherein: the infrared temperature measuring probe and the CCD camera array are both positioned above the cylinder body to be welded, and the measuring ends of the infrared temperature measuring probe and the CCD camera array face the longitudinal seam of the cylinder body and are not in contact with the cylinder body.
4. The temperature monitoring system for longitudinal seam welding of a pressure vessel cylinder of claim 3, wherein: the CPU processing module comprises a signal conversion module and an image processing module, wherein the signal conversion module is used for calculating signals measured by the infrared temperature measuring probe, converting the signals into temperature data of the measured cylinder, displaying the temperature data on the display, synchronously marking time and providing an inquiry function.
5. The temperature monitoring system for longitudinal seam welding of a pressure vessel cylinder of claim 4, wherein: the image processing module is used for carrying out noise reduction processing on image data shot by the CCD camera array, adjusting resolution ratio by utilizing convolution operation, displaying the image data on a display, synchronously marking time and providing a query function.
6. The temperature monitoring system for longitudinal seam welding of a pressure vessel cylinder of claim 5, wherein: the signal acquisition module adopts double wires to respectively collect data with the infrared temperature measurement probe and the CCD camera array by shunting.
7. The temperature monitoring system for longitudinal seam welding of a pressure vessel cylinder of claim 6, wherein: the model comparison module comprises a modeling module, a feature extraction module and a comparison module, the modeling module utilizes BIM application to construct a 3D dynamic model based on image data processed by the image processing module, the feature extraction module utilizes an HOG feature extraction algorithm to extract image color features of a barrel longitudinal seam at the current stage, utilizes filtering and density analysis processes to extract texture features of an image at the barrel longitudinal seam at the previous stage, directly extracts heating range data, synthesizes the data to serve as stage vector data, displays a spectral image at the current stage at a longitudinal seam welding position of the 3D dynamic model to serve as heating range display, and synchronously extracts the color features and the texture features of image data which are lower than the standard temperature and higher than the standard temperature and range data at the corresponding stage in a cloud database to serve as vector comparison data.
8. The temperature monitoring system for longitudinal seam welding of a pressure vessel cylinder of claim 7, wherein: the comparison module is used for comparing the vector data of the stage with the vector comparison data, judging whether the heating temperature at the longitudinal seam of the stage meets the standard temperature, judging whether the heating temperature is higher than or lower than the standard temperature and judging whether the heating range meets the standard, and also comprises a conclusion output module which synchronizes the temperature value of the current stage detected by the infrared temperature measuring probe, comprehensively judges a conclusion, outputs a total monitoring conclusion and displays the total monitoring conclusion on a display.
9. The temperature monitoring system for longitudinal seam welding of a pressure vessel cylinder of claim 8, wherein: the cloud database is connected to the Internet, standard image data which change along with temperature when three-stage heating is carried out in the welding process of the longitudinal seam of the cylinder in the network are searched, and the cloud database provides a personal uploading space for uploading the collected standard image data of three-stage heating in the welding process of the longitudinal seam of the cylinder in personal actual operation.
10. The temperature monitoring system for longitudinal seam welding of a pressure vessel cylinder according to any of claims 1-9, wherein: the control system comprises an alarm module and a switch controller, the control system is connected to the model comparison module, the alarm module is used for sending an alarm prompt through a display when the monitoring conclusion is abnormal, and the switch controller is used for controlling the heater and stopping welding when the monitoring conclusion is abnormal.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202211185172.1A CN115502619A (en) | 2022-09-27 | 2022-09-27 | Temperature monitoring system for longitudinal seam welding of pressure vessel cylinder |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202211185172.1A CN115502619A (en) | 2022-09-27 | 2022-09-27 | Temperature monitoring system for longitudinal seam welding of pressure vessel cylinder |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN115502619A true CN115502619A (en) | 2022-12-23 |
Family
ID=84525315
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202211185172.1A Pending CN115502619A (en) | 2022-09-27 | 2022-09-27 | Temperature monitoring system for longitudinal seam welding of pressure vessel cylinder |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN115502619A (en) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116117389A (en) * | 2022-12-29 | 2023-05-16 | 广东中南人防防护设备工程有限公司 | Intelligent welding control system of civil air defense ventilation equipment |
-
2022
- 2022-09-27 CN CN202211185172.1A patent/CN115502619A/en active Pending
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116117389A (en) * | 2022-12-29 | 2023-05-16 | 广东中南人防防护设备工程有限公司 | Intelligent welding control system of civil air defense ventilation equipment |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN110598736B (en) | Power equipment infrared image fault positioning, identifying and predicting method | |
| Jiang et al. | HDCB-Net: A neural network with the hybrid dilated convolution for pixel-level crack detection on concrete bridges | |
| WO2021000524A1 (en) | Hole protection cap detection method and apparatus, computer device and storage medium | |
| CN107229930B (en) | Intelligent identification method for numerical value of pointer instrument | |
| CN105956618B (en) | Converter steelmaking blowing state identification system and method based on image dynamic and static characteristics | |
| CN111199556B (en) | Indoor pedestrian detection and tracking method based on camera | |
| Wang et al. | Investigation into recognition algorithm of helmet violation based on YOLOv5-CBAM-DCN | |
| CN115502619A (en) | Temperature monitoring system for longitudinal seam welding of pressure vessel cylinder | |
| CN111798407A (en) | Electrified equipment fault diagnosis method based on neural network model | |
| WO2023168972A1 (en) | Linear array camera-based copper surface defect detection method and apparatus | |
| CN113688817A (en) | Instrument identification method and system for automatic inspection | |
| CN109900363A (en) | A kind of object infrared measurement of temperature method and apparatus based on contours extract | |
| CN110717449A (en) | Vehicle annual inspection personnel behavior detection method and device and computer equipment | |
| CN111753877A (en) | Product quality detection method based on deep neural network transfer learning | |
| CN111967323B (en) | Electric power live working safety detection method based on deep learning algorithm | |
| CN105987665B (en) | Early warning monitoring device and method for sag point change range of ultra-high voltage transmission line | |
| CN113762161A (en) | Intelligent obstacle monitoring method and system | |
| CN109961428B (en) | Manifold-based non-negative matrix factorization electric smelting magnesium oxide industrial fault detection method | |
| CN115830719B (en) | Building site dangerous behavior identification method based on image processing | |
| CN116110006B (en) | Scenic spot tourist abnormal behavior identification method for intelligent tourism system | |
| CN108960169A (en) | Instrument and equipment state on_line monitoring method and system based on computer vision | |
| CN115958609B (en) | Instruction data safety early warning method based on intelligent robot automatic control system | |
| CN108229459B (en) | Target tracking method | |
| CN212261348U (en) | Remote temperature measurement system based on thermal imaging and face recognition | |
| CN111678558A (en) | Infrared thermal imaging oil level and temperature monitoring system and method applied to oil filling equipment |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination |