A laser pipeline cladding temperature control system and method

Abstract

A laser pipeline cladding temperature control system and method are disclosed for temperature monitoring in laser welding or laser cladding. The laser pipeline cladding temperature control system includes a laser generation unit, a temperature acquisition unit, a material acquisition unit, a storage unit, a scheme optimization unit, and a display unit. The laser generation unit performs laser welding or laser cladding; the temperature acquisition unit collects temperature data such as the molten pool temperature, laser temperature, and ambient temperature; the material acquisition unit acquires material data of the product to be processed; the storage unit stores a cladding directed graph, which represents the jump relationship between candidate processing schemes; the scheme optimization unit searches for the corresponding processing scheme, i.e., the optimal processing scheme, in the cladding directed graph based on the temperature and material data of the product to be processed; and the display unit displays the current processing scheme and / or the optimal processing scheme to be replaced. This invention allows for rapid adjustment of the processing scheme, improving product quality.

Description

Technical Field

[0001] This invention relates to the field of automatic control technology for laser welding, and more specifically, to a laser pipeline cladding temperature control system and method. Background Technology

[0002] Laser cladding technology uses high-energy lasers as an energy source, employing a laser nozzle to melt metal powder into a molten pool, thereby achieving rapid melting and layer-by-layer deposition of parts. Laser cladding technology manufactures dense metal components through a layer-by-layer welding process. Due to its advantages such as reducing processing steps, shortening processing cycles, and rapidly manufacturing precision parts, it is widely used in aerospace, automotive, and shipbuilding industries.

[0003] Laser cladding, laser remelting, and laser welding share a common characteristic: the interaction between a high-energy laser beam and the metal material forms a high-temperature molten pool. However, during laser processing, the temperature of the component affects the temperature of the molten metal pool, thus influencing the processing temperature and causing defects such as warping, deformation, and cracking in the formed parts or coatings. Therefore, measuring and monitoring the temperature field during laser processing is of paramount importance for improving the quality of laser processing.

[0004] Therefore, the existing technology has problems and needs further improvement and development. Summary of the Invention

[0005] (I) Purpose of the invention: In order to solve the problems existing in the prior art, the purpose of the present invention is to provide a laser pipeline welding temperature control system and method that can accurately monitor the temperature of the laser welding process and quickly make a temperature maintenance plan.

[0006] (II) Technical Solution: To solve the above-mentioned technical problems, this technical solution provides a laser pipeline cladding temperature control system, including a laser generation unit, a temperature acquisition unit, a material acquisition unit, a storage unit, a scheme optimization unit, and a display unit.

[0007] The laser generation unit is used for laser welding or laser cladding; the temperature acquisition unit is used to collect temperature data such as molten pool temperature, laser temperature, and ambient temperature; the material acquisition unit is used to acquire material data of the product to be processed; the storage unit stores a cladding directed graph, which represents the jump relationship of candidate processing schemes; the scheme optimization unit searches for the corresponding processing scheme, i.e., the optimal processing scheme, in the cladding directed graph based on the temperature data and material data of the product to be processed; the display unit is used to display the current processing scheme and / or the optimal processing scheme to be replaced.

[0008] In the laser pipeline cladding temperature control system, the laser generation unit performs laser cladding on the product to be processed according to the optimal processing scheme given by the scheme optimization unit.

[0009] The laser generation unit includes a laser generator, a laser cladding head, and a powder feeder. The laser cladding head includes a connecting component, an optical component, and a powder feeding component. The laser generator and the powder feeder are connected through the laser cladding head.

[0010] The material acquisition unit includes a detection device, which is used to detect the material data of the product to be processed. The material data includes the material name and content.

[0011] The laser pipeline cladding temperature control system includes a temperature acquisition unit comprising an infrared acquisition device, a positioning device, and a crawling device. The infrared acquisition device is used to acquire infrared images of the molten pool, and the temperature acquisition unit acquires molten pool temperature data based on the infrared images. The positioning device reads the location data of the product to be processed, and the crawling device crawls weather data corresponding to the location data in the Internet of Things based on the location data.

[0012] The temperature acquisition unit is connected to the laser generation unit and the scheme optimization unit respectively. The laser generation unit sends the power of the laser generator to the temperature acquisition unit in real time, and the temperature acquisition unit determines the laser temperature based on the power of the laser generator.

[0013] The laser pipeline cladding temperature control system includes a cladding directed graph comprising guide points, which are jump nodes; the guide points include material guide points and temperature guide points, which serve as jump nodes for candidate materials and candidate temperatures in the cladding directed graph; the scheme optimization unit selects the corresponding guide point in the cladding directed graph to jump to the optimal processing scheme.

[0014] The laser pipeline cladding temperature control system includes a material guide point connected to its respective temperature guide point. The temperature guide point includes a molten pool temperature guide point, an ambient temperature guide point, and a laser temperature guide point. The material guide point is connected to the molten pool temperature guide point, the molten pool temperature guide point is connected to the ambient temperature guide point, the ambient temperature guide point is connected to the laser temperature guide point, and the laser temperature guide point is connected to the processing scheme.

[0015] The molten pool temperature guide point corresponds to different molten pool temperature regions, the ambient temperature guide point corresponds to different ambient temperature regions, and the laser temperature guide point corresponds to different laser temperature regions.

[0016] The laser pipeline cladding temperature control system includes a storage unit that stores different molten pool temperature regions, different ambient temperature regions, and different laser temperature regions. The temperature acquisition unit uses molten pool temperature data, weather data, and / or laser temperature data from the different molten pool temperature regions, different ambient temperature regions, and different laser temperature regions stored in the storage unit to determine the current molten pool temperature region, ambient temperature region, and / or laser temperature region.

[0017] In the laser pipeline cladding temperature control system, the material guide point corresponds to different materials in the cladding directed graph. The scheme optimization unit searches for the corresponding material at the material guide point in the cladding directed graph based on the material data of the product to be processed obtained by the material acquisition unit, and starts jumping at the material guide point corresponding to the material.

[0018] When the scheme optimization unit jumps to the material guide point corresponding to the product to be processed, the scheme optimization unit searches for the corresponding molten pool temperature region at the material guide point where the jump begins, based on the current molten pool temperature region, and starts jumping at the molten pool temperature guide point corresponding to the molten pool temperature region.

[0019] When the scheme optimization unit jumps to the molten pool temperature guide point corresponding to the product to be processed, the scheme optimization unit searches for the corresponding ambient temperature region at the molten pool temperature guide point where the jump begins, and starts jumping at the ambient temperature guide point corresponding to the corresponding ambient temperature region.

[0020] When the scheme optimization unit jumps to the ambient temperature guide point corresponding to the product to be processed, the scheme optimization unit searches for the corresponding laser temperature region at the ambient temperature guide point where the jump begins, based on the current laser temperature region, and starts jumping at the laser temperature guide point corresponding to the corresponding laser temperature region. At this time, the jump is completed, and the scheme optimization unit jumps to the processing scheme corresponding to the current material, the current molten pool temperature region, the current ambient temperature region, and the current laser temperature region, which is the current optimal processing scheme.

[0021] In the laser pipeline cladding temperature control system, the guide points of the cladding directed graph include point weights, and the scheme optimization unit assigns a weight value to the guide point each time it jumps to the guide point, thereby incrementing the weight value of the guide point by one.

[0022] The cladding directed graph is sorted according to the weight values ​​of the guide points. When the scheme optimization unit selects guide points, it searches for the material guide points, molten pool temperature guide points, ambient temperature guide points, and laser temperature guide points in descending order of their weight values.

[0023] In the laser pipeline cladding temperature control system, the weight values ​​of the guide points in the cladding directed graph include additional weight values. When the increase in the weight value of the material guide point is greater than a second threshold within a first time period, the cladding directed graph is sorted according to the additional weight values ​​of the guide points. At this time, when the scheme optimization unit selects a guide point, it first searches in descending order of the additional weight values ​​of the guide points. If no corresponding guide point is found among the guide points corresponding to the additional weight values ​​of the guide points, the scheme optimization unit searches in descending order of the weight values ​​of the guide points.

[0024] A method for controlling the cladding temperature of a laser pipeline, applied to the aforementioned laser pipeline cladding temperature control system, includes the following steps:

[0025] Step 1: Temperature acquisition unit collects temperature data; Material acquisition unit collects material data.

[0026] Step 2: The scheme optimization unit selects the corresponding guide point in the cladding directed graph based on the temperature data and material data, and jumps to the corresponding processing scheme, i.e. the optimal processing scheme.

[0027] Step 3: The laser generation unit adjusts the processing parameters of the product to be processed according to the optimal processing scheme;

[0028] Step 4: The display unit displays the current processing scheme and / or the optimal processing scheme to be replaced.

[0029] (III) Beneficial effects: The present invention provides a laser pipeline cladding temperature control system and method to optimize the processing scheme based on the material of the product to be processed, the temperature of the cladding pool, and the ambient temperature, and quickly adjust the processing scheme to avoid defects such as warping, deformation, and cracking of the formed parts or coatings caused by unstable molten pool temperature during processing, thereby improving product quality. Attached Figure Description

[0030] Figure 1 This is a schematic diagram of the structure of a laser pipeline cladding temperature control system according to the present invention;

[0031] Figure 2 This is a schematic diagram of the steps of a laser pipeline cladding temperature control method according to the present invention. Detailed Implementation

[0032] The present invention will be further described in detail below with reference to preferred embodiments. More details are set forth in the following description in order to provide a full understanding of the present invention. However, the present invention can obviously be implemented in many other ways different from those described herein. Those skilled in the art can make similar extensions and derivations based on actual application situations without departing from the spirit of the present invention. Therefore, the scope of protection of the present invention should not be limited by the content of this specific embodiment.

[0033] The accompanying drawings are schematic diagrams of embodiments of the present invention. It should be noted that these drawings are for illustrative purposes only and are not drawn to scale, and should not be construed as limiting the actual scope of protection of the present invention.

[0034] A laser pipeline cladding temperature control system and method are used for temperature monitoring of laser welding or laser cladding, and timely adjustment of the laser welding or laser cladding scheme, thereby avoiding defects such as warping, deformation, and cracking of the formed parts or coatings caused by unsuitable processing temperature, which would affect product quality.

[0035] A laser pipeline cladding temperature control system, such as Figure 1 As shown, the system includes a laser generation unit, a temperature acquisition unit, a material acquisition unit, and a scheme optimization unit. The laser generation unit is used for laser welding or laser cladding; the temperature acquisition unit is used to collect temperature data such as the molten pool temperature, laser temperature, and ambient temperature; the material acquisition unit is used to acquire the material data of the product to be processed; and the scheme optimization unit provides the optimal processing scheme based on the temperature and material data.

[0036] The laser generation unit performs laser cladding on the product to be processed according to the optimal processing scheme provided by the scheme optimization unit. The laser generation unit includes a laser generator, a laser cladding head, and a powder feeder. The laser cladding head includes a connecting component, an optical component, and a powder feeding component. The laser generator and the powder feeder are connected through the laser cladding head. The coating is rapidly scanned by a high-energy laser beam, and the pre-placed powder melts and solidifies instantly. The base metal melts into a thin layer, and the interface between the two rapidly generates molecular or atomic-level cross-diffusion within a very narrow area, forming a strong metallurgical bonding layer, thereby significantly improving various properties of the base metal, such as hardness, wear resistance, and corrosion resistance.

[0037] The temperature acquisition unit includes an infrared acquisition device, a positioning device, and a crawling device. The infrared acquisition device acquires infrared images of the molten pool, and the temperature acquisition unit acquires molten pool temperature data based on these images. The positioning device reads the location data of the product to be processed, and the crawling device crawls weather data corresponding to that location in the Internet of Things (IoT). The location data can be the latitude and longitude of the product to be processed, and the weather data includes at least the temperature corresponding to different time periods of the current date. The temperature acquisition unit is connected to the laser generation unit and the scheme optimization unit, respectively. The laser generation unit sends the power of the laser generator to the temperature acquisition unit in real time, and the temperature acquisition unit determines the laser temperature based on the laser generator's power. The scheme optimization unit sends the target power or target laser temperature of the laser generator in the optimal processing scheme to the temperature acquisition unit, and the temperature acquisition unit estimates the laser temperature at the corresponding time in the optimal processing scheme based on the target power or target laser temperature.

[0038] Laser temperature refers to the instantaneous temperature at which the laser is generated, and it is determined based on the power of the laser generator.

[0039] The material acquisition unit includes a detection device for detecting the material data of the product to be processed. The material data includes the material name and content. The material data can also be input through the input unit of the laser pipeline cladding temperature control system; no specific limitations are imposed here.

[0040] The laser pipeline cladding temperature control system further includes the input unit, storage unit, and display unit. The input unit is used to input / modify temperature data, material data, and / or optimal processing schemes. The storage unit stores a cladding directed graph, which represents the jump relationship between candidate processing schemes.

[0041] The cladding directed graph includes guide points, which are jump nodes. The guide points include material guide points and temperature guide points, which serve as jump nodes for candidate materials and candidate temperatures in the cladding directed graph.

[0042] The scheme optimization unit selects the corresponding guide point in the cladding directed graph based on the material data and corresponding temperature data of the product to be processed, and jumps to the target processing scheme, i.e. the corresponding optimal processing scheme.

[0043] The material guide point corresponds to different materials in the cladding directed graph. The scheme optimization unit searches for the corresponding material at the material guide point in the cladding directed graph based on the material data of the product to be processed obtained by the material acquisition unit, and starts jumping at the material guide point corresponding to the material.

[0044] Each material guide point is connected to its respective temperature guide point, which includes a molten pool temperature guide point, an ambient temperature guide point, and a laser temperature guide point. The material guide point is connected to the molten pool temperature guide point, the molten pool temperature guide point is connected to the ambient temperature guide point, the ambient temperature guide point is connected to the laser temperature guide point, and the laser temperature guide point is connected to the processing scheme. The molten pool temperature guide point corresponds to different molten pool temperature regions, the ambient temperature guide point corresponds to different ambient temperature regions, and the laser temperature guide point corresponds to different laser temperature regions.

[0045] The storage unit stores different molten pool temperature regions, different ambient temperature regions, and different laser temperature regions. The temperature acquisition unit determines the current molten pool temperature region, ambient temperature region, and / or laser temperature region based on molten pool temperature data, weather data, and / or laser temperature, within the different molten pool temperature regions, different ambient temperature regions, and different laser temperature regions stored in the storage unit.

[0046] In the cladding directed graph, material guide points can be classified according to the name of the material with the highest content, or according to the names of all materials with a content greater than 30% and their corresponding content ranges. No specific limitations are imposed here, and adjustments can be made based on actual conditions in practical applications. The molten pool temperature guide points correspond to molten pool temperature ranges that can be divided into 0-500℃, 501-700℃, 701-800℃, 801-900℃, 901-1000℃, 1001-1200℃, and 1201-1500℃. ...The ambient temperature range corresponding to the ambient temperature guide point can be divided into -20℃ to -10℃, -9.9℃ to 0℃, 0.1℃ to 10℃, 10.1℃ to 20℃, 20.1℃ to 30℃, 30.1℃ to 40℃, and 40.1℃ to 50℃; the laser temperature range corresponding to the laser temperature guide point can be 0-500℃, 501-700℃, 701-800℃, 801-900℃, 901-1000℃, 1001-1200℃, and 1201-1500℃...

[0047] It should be noted that the molten pool temperature region, ambient temperature region, and laser temperature region in the cladding directed graph are consistent with the molten pool temperature region, ambient temperature region, and laser temperature region stored in the storage unit.

[0048] When the scheme optimization unit jumps to the material guide point corresponding to the product to be processed, the scheme optimization unit searches for the corresponding molten pool temperature region at the material guide point where the jump begins based on the current molten pool temperature region, and starts jumping at the molten pool temperature guide point corresponding to the molten pool temperature region.

[0049] When the scheme optimization unit jumps to the molten pool temperature guide point corresponding to the product to be processed, the scheme optimization unit searches for the corresponding ambient temperature region at the molten pool temperature guide point where the jump begins, based on the current ambient temperature region, and starts jumping at the ambient temperature guide point corresponding to the corresponding ambient temperature region.

[0050] When the scheme optimization unit jumps to the ambient temperature guide point corresponding to the product to be processed, the scheme optimization unit searches for the corresponding laser temperature region at the ambient temperature guide point where the jump begins, based on the current laser temperature region, and starts jumping at the laser temperature guide point corresponding to the corresponding laser temperature region. At this time, the jump is completed, and the scheme optimization unit jumps to the processing scheme corresponding to the current material, the current molten pool temperature region, the current ambient temperature region, and the current laser temperature region, which is the current optimal processing scheme.

[0051] The processing schemes corresponding to different materials, different molten pool temperature regions, different ambient temperature regions, and different laser temperature regions in the cladding directed graph can be input or modified by the input unit. The processing schemes correspond to different optimal molten pool temperature regions depending on the material. Under the optimal molten pool temperature region for the corresponding material, the processing schemes corresponding to different materials, different molten pool temperature regions, different ambient temperature regions, and different laser temperature regions are determined by the influence of ambient temperature and laser temperature on the increase / decrease of the molten pool temperature. These optimal processing schemes also represent the laser temperatures required for different materials and different molten pool temperature regions under different ambient temperatures.

[0052] In the cladding directed graph, the same processing scheme can connect multiple laser temperature guide points. That is, processing schemes corresponding to different materials, different molten pool temperature regions, different ambient temperature regions, and different laser temperature regions can have the same processing scheme, which is determined based on material data and temperature data.

[0053] The display unit is used to display the current processing scheme and / or the optimal processing scheme to be replaced.

[0054] The guiding points of the cladding directed graph include point weights. Each time the scheme optimization unit jumps to a guiding point, it assigns a weight value to the guiding point, thereby incrementing the weight value of the guiding point by one.

[0055] The cladding directed graph is sorted according to the weight values ​​of the guiding points. When the scheme optimization unit selects guiding points, it searches for the material guiding points, molten pool temperature guiding points, ambient temperature guiding points, and laser temperature guiding points in descending order of their weight values. For example:

[0056] The material-guided points, molten pool temperature-guided points, ambient temperature-guided points, and laser temperature-guided points in the cladding directed graph are sorted in descending order of their weight values.

[0057] The scheme optimization unit searches for the corresponding material in the material guide points of the cladding directed graph according to the material data of the product to be processed obtained by the material acquisition unit, in descending order of weight value.

[0058] When the scheme optimization unit jumps to the material guide point corresponding to the product to be processed, the scheme optimization unit searches for the corresponding molten pool temperature region in the molten pool temperature guide point in descending order of weight value, based on the current molten pool temperature region.

[0059] When the scheme optimization unit jumps to the molten pool temperature guide point corresponding to the product to be processed, the scheme optimization unit searches for the corresponding ambient temperature region in the ambient temperature guide point at the starting molten pool temperature guide point according to the current ambient temperature region, in descending order of weight value.

[0060] When the scheme optimization unit jumps to the ambient temperature guide point corresponding to the product to be processed, the scheme optimization unit searches for the corresponding laser temperature region in the laser temperature guide point at the ambient temperature guide point where the jump started, according to the current laser temperature region and in descending order of weight value.

[0061] The scheme optimization unit searches for guide points based on the weight values ​​of the guide points in the cladding directed graph, thereby prioritizing the search for guide points with high jump frequency in the cladding directed graph, and thus quickly obtaining the optimal processing scheme.

[0062] The weight values ​​of the guide points in the cladding directed graph include additional weight values. When the increase in the weight value of the material guide point is greater than the second threshold within the first time period, the cladding directed graph is sorted according to the additional weight values ​​of the guide points. At this time, when the scheme optimization unit selects a guide point, it first searches in descending order of the additional weight values ​​of the guide points. If no corresponding guide point is found among the guide points corresponding to the additional weight values ​​of the guide points, the scheme optimization unit searches in descending order of the weight values ​​of the guide points.

[0063] The first time period and the second threshold are preset values, which can be input / modified through the input unit.

[0064] A laser pipeline cladding temperature control method is applied to the control system of the aforementioned laser welding or laser cladding, such as... Figure 2 As shown, the specific steps include:

[0065] Step 1: Temperature acquisition unit collects temperature data; Material acquisition unit collects material data.

[0066] Step 2: The scheme optimization unit selects the corresponding guide point in the cladding directed graph based on the temperature data and material data, and jumps to the corresponding processing scheme, i.e. the optimal processing scheme.

[0067] Step 3: The laser generation unit adjusts the processing parameters of the product to be processed according to the optimal processing scheme;

[0068] Step 4: The display unit displays the current processing scheme and / or the optimal processing scheme to be replaced.

[0069] The cladding directed graph includes cladding schemes for different materials in the initial cladding state. At this time, the cladding pool temperature region includes all cladding pool temperature values, that is, the cladding pool temperature region is from zero to infinity.

[0070] A laser pipeline cladding temperature control system and method can optimally select the processing scheme based on the material of the product to be processed, the temperature of the cladding pool, and the ambient temperature, and adjust the processing scheme in a timely manner. This avoids defects such as warping, deformation, and cracking of the formed parts or coatings caused by unstable molten pool temperature during processing, thereby improving product quality. Furthermore, the processing scheme can be searched based on the weight value of the guide point, greatly improving search efficiency, reducing system response time, and further ensuring timely adjustment of the processing scheme.

[0071] The above description illustrates preferred embodiments of the present invention and helps those skilled in the art to more fully understand the technical solution of the present invention. However, these embodiments are merely illustrative and should not be construed as limiting the specific implementation of the present invention to these embodiments. For those skilled in the art, several simple deductions and modifications can be made without departing from the inventive concept, and all such modifications should be considered within the protection scope of the present invention.

Claims

1. A laser pipeline cladding temperature control system, characterized in that, It includes a laser generation unit, a temperature acquisition unit, a material acquisition unit, a storage unit, a solution optimization unit, and a display unit. The laser generation unit is used for laser welding or laser cladding; the temperature acquisition unit is used to collect temperature data of the molten pool temperature, laser temperature, and ambient temperature; the material acquisition unit is used to acquire material data of the product to be processed; the storage unit stores a cladding directed graph, which represents the jump relationship of candidate processing schemes; the scheme optimization unit searches for the corresponding processing scheme, i.e., the optimal processing scheme, in the cladding directed graph based on the temperature data and material data of the product to be processed; the display unit is used to display the current processing scheme and / or the optimal processing scheme to be replaced. The cladding directed graph includes guide points, which are jump nodes; the guide points include material guide points and temperature guide points, which serve as jump nodes for candidate materials and candidate temperatures in the cladding directed graph; the scheme optimization unit selects the corresponding guide point in the cladding directed graph to jump to the optimal processing scheme; Each material guide point is connected to its respective temperature guide point, which includes a molten pool temperature guide point, an ambient temperature guide point, and a laser temperature guide point. The material guide point is connected to the molten pool temperature guide point, the molten pool temperature guide point is connected to the ambient temperature guide point, the ambient temperature guide point is connected to the laser temperature guide point, and the laser temperature guide point is connected to the processing scheme. The molten pool temperature guide point corresponds to different molten pool temperature regions, the ambient temperature guide point corresponds to different ambient temperature regions, and the laser temperature guide point corresponds to different laser temperature regions. The material guide point corresponds to different materials in the cladding directed graph. The scheme optimization unit searches for the corresponding material at the material guide point in the cladding directed graph based on the material data of the product to be processed obtained by the material acquisition unit, and starts jumping at the material guide point corresponding to the material. When the scheme optimization unit jumps to the material guide point corresponding to the product to be processed, the scheme optimization unit searches for the corresponding molten pool temperature region at the material guide point where the jump begins, based on the current molten pool temperature region, and starts jumping at the molten pool temperature guide point corresponding to the molten pool temperature region. When the scheme optimization unit jumps to the molten pool temperature guide point corresponding to the product to be processed, the scheme optimization unit searches for the corresponding ambient temperature region at the molten pool temperature guide point where the jump begins, and starts jumping at the ambient temperature guide point corresponding to the corresponding ambient temperature region. When the scheme optimization unit jumps to the ambient temperature guide point corresponding to the product to be processed, the scheme optimization unit searches for the corresponding laser temperature region at the ambient temperature guide point where the jump begins, based on the current laser temperature region, and starts jumping at the laser temperature guide point corresponding to the corresponding laser temperature region. At this time, the jump is completed, and the scheme optimization unit jumps to the processing scheme corresponding to the current material, the current molten pool temperature region, the current ambient temperature region, and the current laser temperature region, which is the current optimal processing scheme.

2. The laser pipeline cladding temperature control system according to claim 1, characterized in that, The laser generation unit performs laser cladding on the product to be processed according to the optimal processing scheme given by the scheme optimization unit; The laser generation unit includes a laser generator, a laser cladding head, and a powder feeder. The laser cladding head includes a connecting component, an optical component, and a powder feeding component. The laser generator and the powder feeder are connected through the laser cladding head. The material acquisition unit includes a detection device, which is used to detect the material data of the product to be processed. The material data includes the material name and content.

3. The laser pipeline cladding temperature control system according to claim 2, characterized in that, The temperature acquisition unit includes an infrared acquisition device, a positioning device, and a crawling device. The infrared acquisition device is used to acquire infrared images of the molten pool, and the temperature acquisition unit acquires molten pool temperature data based on the infrared images of the molten pool. The positioning device reads the location data of the product to be processed, and the crawling device crawls weather data corresponding to the location data in the Internet of Things based on the location data. The temperature acquisition unit is connected to the laser generation unit and the scheme optimization unit respectively. The laser generation unit sends the power of the laser generator to the temperature acquisition unit in real time, and the temperature acquisition unit determines the laser temperature based on the power of the laser generator.

4. The laser pipeline cladding temperature control system according to claim 3, characterized in that, The storage unit stores different molten pool temperature regions, different ambient temperature regions, and different laser temperature regions. The temperature acquisition unit determines the current molten pool temperature region, ambient temperature region, and / or laser temperature region by using molten pool temperature data, weather data, and / or laser temperature data in the different molten pool temperature regions, different ambient temperature regions, and different laser temperature regions in the storage unit.

5. The laser pipeline cladding temperature control system according to claim 4, characterized in that, The cladding directed graph includes point weights for each guide point. Each time the scheme optimization unit jumps to a guide point, it assigns a value to the weight of the guide point, incrementing the weight of the guide point by one. The cladding directed graph is sorted according to the weight values ​​of the guide points. When the scheme optimization unit selects guide points, it searches for the material guide points, molten pool temperature guide points, ambient temperature guide points, and laser temperature guide points in descending order of their weight values.

6. The laser pipeline cladding temperature control system according to claim 5, characterized in that, The weight values ​​of the guide points in the cladding directed graph include additional weight values. When the increase in the weight value of the material guide point is greater than the second threshold within the first time period, the cladding directed graph is sorted according to the additional weight values ​​of the guide points. At this time, when the scheme optimization unit selects a guide point, it first searches in descending order of the additional weight values ​​of the guide points. If no corresponding guide point is found among the guide points corresponding to the additional weight values ​​of the guide points, the scheme optimization unit searches in descending order of the weight values ​​of the guide points.

7. A method for controlling the cladding temperature of a laser pipeline, applied to the laser pipeline cladding temperature control system according to any one of claims 1-6, characterized in that, Includes the following steps, Step 1: Temperature acquisition unit collects temperature data; Material acquisition unit collects material data. Step 2: The scheme optimization unit selects the corresponding guide point in the cladding directed graph based on the temperature data and material data, and jumps to the corresponding processing scheme, i.e. the optimal processing scheme. Step 3: The laser generation unit adjusts the processing parameters of the product to be processed according to the optimal processing scheme; Step 4: The display unit displays the current processing scheme and / or the optimal processing scheme to be replaced.

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