Laser cutting supervision method, system, terminal device and computer storage medium

Abstract

The application provides a laser cutting supervision method, system, terminal equipment and computer storage medium, applied to the technical field of laser cutting, and the laser cutting supervision method comprises the following steps: when performing a laser cutting operation, an industrial camera is controlled to collect a cutting picture, and a cutting information in the cutting picture is recognized through an image recognition unit, the cutting information comprising plate information and cutting surface smoothness; when the cutting surface smoothness is lower than a preset threshold value, parameter information of the laser cutting is acquired, and a to-be-adjusted parameter is determined according to the plate information and the parameter information, wherein the threshold value corresponds to the plate information; the value corresponding to the to-be-adjusted parameter in the parameter information is adjusted to obtain new parameter information, and the laser cutting operation is performed based on the new parameter information. The technical scheme can solve the technical problem that the cutting efficiency is low due to repeated adjustment of cutting parameters by technical personnel.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of laser cutting, in particular to a laser cutting supervision method and system, a terminal device and a computer storage medium. BACKGROUND

[0002] When a technician operates a laser cutting machine to cut a plate, the technician needs to set cutting parameters corresponding to the plate on the laser cutting machine in advance, such as output power, wire cutting speed, auxiliary gas type, etc. However, in the actual cutting process, if the pre-designed cutting parameters do not match the plate, burrs will be generated during the cutting of the plate, resulting in a rough surface of the cut plate.

[0003] Since removing the burrs on the plate requires additional work, the technician needs to repeatedly adjust the cutting parameters based on his own experience to reduce the generation of burrs, resulting in a low cutting efficiency of the laser cutting machine. SUMMARY

[0004] The present application proposes a laser cutting supervision method and system, a terminal device and a computer storage medium, aiming to solve the technical problem of low cutting efficiency caused by the technician repeatedly adjusting the cutting parameters.

[0005] To solve the above problems, the present application proposes a laser cutting supervision method, which is applied to a laser cutting machine, the laser cutting machine comprising an industrial camera and an image recognition unit, the laser cutting supervision method comprising:

[0006] When performing a laser cutting operation, the industrial camera is controlled to capture a cutting picture, and the image recognition unit is used to identify cutting information in the cutting picture, the cutting information comprising plate information and cutting surface smoothness;

[0007] When the cutting surface smoothness is lower than a preset threshold value, the parameter information of the laser cutting is obtained, and the to-be-adjusted parameter is determined according to the plate information and the parameter information, wherein the threshold value corresponds to the plate information;

[0008] The value corresponding to the to-be-adjusted parameter in the parameter information is adjusted to obtain new parameter information, and the laser cutting operation is performed based on the new parameter information.

[0009] Optionally, the step of identifying the cutting information in the cutting picture by the image recognition unit comprises:

[0010] The cutting picture is preprocessed;

[0011] The image recognition unit identifies the cutting information in the cutting picture, and obtains the cutting surface smoothness based on the burr information.

[0012] Optionally, the step of identifying the cutting information in the cutting picture by the image recognition unit further comprises:

[0013] The image recognition unit obtains a smooth area in the cutting picture.

[0014] The image recognition unit obtains a smooth area in the cutting picture.

[0015] Optionally, the preprocessing comprises grayscale processing and normalization processing, and the step of preprocessing the cutting picture comprises:

[0016] The image recognition unit obtains a smooth area in the cutting picture.

[0017] Optionally, the laser cutting machine further comprises a nozzle light-emitting hole, and the method further comprises:

[0018] The image recognition unit obtains a smooth area in the cutting picture.

[0019] When the coaxiality is less than the coaxiality threshold, the coaxiality is adjusted to the coaxiality threshold, and the step of obtaining the parameter information of the laser cutting is performed.

[0020] Optionally, the plate information comprises a plate type and a plate thickness, and the step of determining the to-be-adjusted parameter according to the plate information and the parameter information comprises:

[0021] The image recognition unit obtains a smooth area in the cutting picture.

[0022] The image recognition unit obtains a smooth area in the cutting picture.

[0023] Optionally, the step of comparing the parameter correction information with the parameter information to obtain the to-be-adjusted parameter comprises:

[0024] The image recognition unit obtains a smooth area in the cutting picture.

[0025] The first number and the second number are compared to obtain a comparison result, and the to-be-adjusted parameter is determined based on the comparison result.

[0026] Optionally, the step of adjusting the number corresponding to the to-be-adjusted parameter in the parameter information to obtain new parameter information comprises:

[0027] The first number corresponding to the to-be-adjusted parameter in the parameter correction information is obtained, and the first number is compared with a preset parameter threshold.

[0028] If the first number does not exceed the parameter threshold, the number corresponding to the to-be-adjusted parameter in the parameter information is adjusted to the first number, and the adjusted parameter information is taken as new parameter information.

[0029] In addition, to solve the above problems, the application further provides a laser cutting supervision system, which is applied to a laser cutting machine, and the laser cutting machine comprises an industrial camera and an image recognition unit, and the laser cutting supervision system comprises:

[0030] A cutting information acquisition module is configured to control the industrial camera to acquire a cutting picture when performing a laser cutting operation, and identify cutting information in the cutting picture through the image recognition unit, wherein the cutting information comprises plate information and cutting surface smoothness.

[0031] A to-be-adjusted parameter determination module is configured to acquire parameter information of laser cutting when the cutting surface smoothness is lower than a preset threshold, and determine a to-be-adjusted parameter according to the plate information and the parameter information, wherein the threshold corresponds to the plate information.

[0032] A parameter number adjustment module is configured to adjust a number corresponding to the to-be-adjusted parameter in the parameter information to obtain new parameter information, and perform a laser cutting operation based on the new parameter information.

[0033] In addition, to solve the above problems, the application further provides a terminal device, which comprises a memory, a processor, and a laser cutting supervision program stored in the memory and executable on the processor, and the laser cutting supervision program implements the steps of the laser cutting supervision method when executed by the processor.

[0034] In addition, to solve the above problems, the application further provides a computer storage medium, which stores a laser cutting supervision program, and the laser cutting supervision program implements the steps of the laser cutting supervision method when executed by a processor.

[0035] The application provides a laser cutting supervision method and system, a terminal device and a computer storage medium, wherein the laser cutting supervision method is applied to a laser cutting machine, the laser cutting machine comprises an industrial camera and an image recognition unit, and the laser cutting supervision method comprises the following steps: when the laser cutting machine cuts a plate, the industrial camera installed on the laser cutting machine collects a cutting picture during cutting, and the image recognition unit comprising an image recognition algorithm identifies plate information and a cutting surface smoothness in the cutting picture; when the laser cutting machine detects that the cutting surface smoothness is lower than a preset threshold value, parameter information set by a technician during laser cutting is acquired, then the plate information and the parameter information are used to determine parameters that need to be adjusted, and then the parameters that need to be adjusted are adjusted to obtain new parameter information, and the laser cutting machine continues to perform laser cutting work after obtaining the new parameter information.

[0036] Compared with the traditional mode that the technician manually adjusts the parameters, the image recognition unit automatically identifies burrs, and then the parameters set by the technician in advance are automatically adjusted according to the plate information when the number of burrs is large, so that the effect of parameter self-adaption to the plate can be realized, and the cutting efficiency of the laser cutting machine can be improved. BRIEF DESCRIPTION OF DRAWINGS

[0037] The accompanying drawings, which are incorporated into and form part of the specification, illustrate embodiments consistent with the present application and, together with the specification, serve to explain the principles of the application.

[0038] In order to more clearly illustrate the technical solutions in the embodiments of the present application or the prior art, the accompanying drawings needed to be used in the embodiments or prior art description will be briefly introduced. Obviously, for those skilled in the art, other drawings can also be obtained without creative labor based on these drawings.

[0039] Figure 1 It is a device structure schematic diagram of a terminal device hardware running environment related to the embodiment scheme of the present application.

[0040] Figure 2 It is a flowchart of the first embodiment of the laser cutting supervision method of the present application.

[0041] Figure 3 It is a cutting schematic diagram of an embodiment of the laser cutting supervision method of the present application.

[0042] Figure 4 It is a first coaxial degree schematic diagram of an embodiment of the laser cutting supervision method of the present application.

[0043] Figure 5 It is a second coaxial degree schematic diagram of an embodiment of the laser cutting supervision method of the present application.

[0044] Figure 6 Figure 1 is a functional module diagram of an embodiment of the laser cutting monitoring system of the present application. DETAILED DESCRIPTION

[0045] It should be understood that the specific embodiments described herein merely set forth preferred aspects of the application and that individuals skilled in the art can make modifications or alterations to the application without departing from the scope and spirit of the application.

[0046] The technical solutions in the embodiments of the present application will be clearly and completely described with reference to the drawings in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, rather than all the embodiments of the present application. Based on the embodiments of the present application, all other embodiments obtained by those skilled in the art without creative efforts fall within the scope of the present application.

[0047] It should be noted that all directional indications, such as upper, lower, left, right, front, back, etc., in the embodiments of the present application are only used to explain the relative position relationship, movement condition, etc. between components in a certain posture (as shown in the drawings), and if the certain posture changes, the directional indications also change accordingly.

[0048] In the present application, unless otherwise explicitly specified and limited, the terms "connection", "fixation", etc. should be understood in a broad sense, for example, "fixation" can be fixed connection, or detachable connection, or integral; can be mechanical connection, or electrical connection; can be direct connection, or indirect connection through an intermediate medium; can be internal connection of two elements or interaction relationship between two elements, unless otherwise explicitly limited. For those skilled in the art, the specific meaning of the above terms in the present application can be understood according to the specific circumstances.

[0049] In addition, the description such as "first", "second", etc. in the present application is only for the purpose of description, and cannot be understood as indicating or implying the relative importance of the indicated technical features or implicitly indicating the number of the indicated technical features. Therefore, the features limited by "first", "second" can explicitly or implicitly include at least one of the features. In addition, the technical solutions of various embodiments can be combined with each other, but it must be based on the fact that the technical solutions can be realized by those skilled in the art, and when the combination of technical solutions appears to be contradictory or unachievable, it should be considered that the combination of technical solutions does not exist, and is not within the scope of protection claimed by the present application.

[0050] As shown in Figure 1, Figure 2 is a device structure diagram of the hardware running environment of the terminal device involved in the embodiment of the present application. Figure 1 Figure 1 As shown in Figure 1, Figure 2 is a device structure diagram of the hardware running environment of the terminal device involved in the embodiment of the present application.

[0051] ​It should be noted that the terminal device involved in the embodiments of the present application can be a data storage control terminal, a PC or a portable computer and the like in a laser cutting supervision system which executes the laser cutting supervision method of the present application.

[0052] As shown in Figure 1 the hardware running environment of the terminal device, the terminal device can include a processor 1001 such as a CPU, a network interface 1004, a user interface 1003, a memory 1005, and a communication bus 1002. The communication bus 1002 is used to realize the connection and communication between these components. The user interface 1003 can include a display screen (Display), an input unit such as a keyboard (Keyboard), and the optional user interface 1003 can also include a standard wired interface, a wireless interface. The network interface 1004 can optionally include a standard wired interface, a wireless interface (such as a WI-FI interface). The memory 1005 can be a high-speed RAM memory, or a stable memory (non-volatile memory) such as a disk memory. The memory 1005 can also be an independent storage device from the aforementioned processor 1001.

[0053] Those skilled in the art can understand that Figure 1 the terminal device structure shown in the foregoing embodiments does not constitute a limitation on the terminal device, and can include more or fewer components than those shown, or combine certain components, or different component arrangements.

[0054] As shown in Figure 1 the memory 1005 as a computer storage medium can include an operating system, a network communication module, a user interface module, and a laser cutting supervision program.

[0055] In the device shown in Figure 1 the network interface 1004 is mainly used to connect to a background server and communicate data with the background server; the user interface 1003 is mainly used to connect to a client (user end) and communicate data with the client; and the processor 1001 can be used to call the laser cutting supervision program stored in the memory 1005 and perform the following operations:

[0056] In the execution of the laser cutting operation, the industrial camera is controlled to collect a cutting picture, and the cutting information in the cutting picture is identified through the image recognition unit, and the cutting information includes plate information and cutting surface smoothness;

[0057] When the cutting surface smoothness is lower than a preset threshold value, the parameter information of the laser cutting is obtained, and the parameter to be adjusted is determined according to the plate information and the parameter information, wherein the threshold value corresponds to the plate information;

[0058] Adjust the value corresponding to the to-be-adjusted parameter in the parameter information to obtain new parameter information, and perform a laser cutting operation based on the new parameter information.

[0059] Based on the above hardware structure, the overall concept of each embodiment of the laser cutting supervision method is proposed.

[0060] Nowadays, when a technician operates a laser cutting machine to cut a plate, the cutting parameters corresponding to the plate, such as output power, wire cutting speed, and auxiliary gas type, need to be set on the laser cutting machine in advance. However, in the actual cutting process, if the pre-designed cutting parameters do not match the plate, burrs will be generated during the cutting of the plate, resulting in a rough surface of the cut plate.

[0061] Since removing the burrs on the plate requires additional work, the technician needs to repeatedly adjust the cutting parameters based on his own experience to reduce the generation of burrs, resulting in a low cutting efficiency of the laser cutting machine.

[0062] To solve the above problems, an embodiment of the present application proposes a laser cutting supervision method, system, terminal device and computer storage medium, wherein the laser cutting supervision method is applied to a laser cutting machine, the laser cutting machine includes an industrial camera and an image recognition unit, and the laser cutting supervision method includes: when the laser cutting machine cuts a plate, the industrial camera installed on the laser cutting machine collects a cutting picture during cutting, and the image recognition unit including an image recognition algorithm identifies plate information and cutting surface smoothness in the cutting picture. When the laser cutting machine detects that the cutting surface smoothness is lower than a preset threshold, the parameter information set by the technician during laser cutting is obtained, and then the parameters that need to be adjusted are determined according to the plate information and the parameter information. Then, the parameters that need to be adjusted are adjusted to obtain new parameter information, and the laser cutting machine will continue to perform the laser cutting operation after obtaining the new parameter information.

[0063] Compared with the traditional manual parameter adjustment method of the technician, the present application automatically identifies burrs through the image recognition unit, and then automatically adjusts the parameters set by the technician according to the plate information, which can realize the effect of parameter adaptation to the plate, thereby improving the cutting efficiency of the laser cutting machine.

[0064] Based on the overall concept of the above laser cutting supervision method, each embodiment of the laser cutting supervision method is proposed.

[0065] Please refer to Figure 2 , Figure 2Fig. 1 is a flowchart of a first embodiment of the laser cutting supervision method of the present application. It should be noted that although a logical sequence is shown in the flowchart, in some cases, the individual steps of the laser cutting supervision method of the present application can of course be performed in a different order than that shown here.

[0066] In this embodiment, the laser cutting supervision method is applied to a laser cutting machine, which comprises an industrial camera and an image recognition unit, and the laser cutting supervision method comprises:

[0067] Step S10: When performing a laser cutting operation, control the industrial camera to capture a cutting picture, and identify the cutting information in the cutting picture through the image recognition unit, wherein the cutting information comprises plate information and cutting surface smoothness.

[0068] It should be noted that the industrial camera can be installed on the laser cutting machine near the laser nozzle, and the image recognition unit is a computing unit that stores an image feature extraction algorithm.

[0069] In this embodiment, when the laser cutting machine performs a laser cutting operation, the industrial camera will be controlled to take a cutting picture at a predetermined frequency, and then transmit the cutting picture to the image recognition unit for processing. The image recognition unit can identify the cutting information in the cutting picture based on the image feature extraction algorithm, wherein the cutting information can include plate information and cutting surface smoothness.

[0070] For example, assuming that the technician sets the shooting frequency to 1 second, the laser cutting machine controls the industrial camera to take a cutting picture every 1 second, and then transmits the captured cutting picture to the image recognition unit. Since the VGG and Resnet algorithms are stored in the image recognition unit, the image recognition unit can identify the plate information and cutting surface smoothness represented by the cutting picture after receiving the cutting picture.

[0071] Step S20: When the cutting surface smoothness is lower than a predetermined threshold, obtain the parameter information of the laser cutting, and determine the parameter to be adjusted according to the plate information and the parameter information, wherein the threshold corresponds to the plate information.

[0072] It should be noted that since burrs can be generated during laser cutting, the cutting surface will have molten plate material. Therefore, the cutting surface smoothness is related to the number of burrs on the plate surface. The more burrs, the lower the cutting surface smoothness.

[0073] In the embodiment, after obtaining the plate information and the smoothness of the cutting surface according to the number of burrs on the surface of the plate, the laser cutting machine obtains the threshold corresponding to the plate, i.e., obtains the smoothness threshold corresponding to the plate, compares the smoothness of the cutting surface with the smoothness threshold, and if the smoothness of the cutting surface is lower than the smoothness threshold, obtains the parameter information (original parameter information) of the laser cutting set by the technician, and determines the parameters that need to be adjusted according to the plate information and the original parameter information.

[0074] For example, it is assumed that the smoothness of the cutting surface is represented in percentage, and the cutting plate is carbon steel. After the laser cutting machine identifies the cutting plate as carbon steel through the cutting picture, it obtains the smoothness threshold corresponding to carbon steel set by the technician. It is assumed that the smoothness threshold is 90%. At the same time, the laser cutting machine can also identify the smoothness of the cutting surface according to the cutting picture. It is assumed that the smoothness of the cutting surface is 87%. The laser cutting machine can compare the smoothness of the cutting surface with the smoothness threshold, so as to obtain the result that the smoothness of the cutting surface is lower than the smoothness threshold. Then, according to the result, the laser cutting machine obtains the parameter information set by the technician, and checks whether the parameter values and the parameter types in the parameter information are appropriate based on the plate information, and takes the inappropriate parameters as the parameters to be adjusted.

[0075] Step S30: adjusting the values corresponding to the parameters to be adjusted in the parameter information to obtain new parameter information, and performing the laser cutting operation based on the new parameter information.

[0076] In the embodiment, after determining the parameters to be adjusted, the laser cutting machine adjusts the values corresponding to the parameters to be adjusted in the original parameter information, takes the adjusted original parameter information as new parameter information, and then performs the laser cutting operation based on the new parameter information, so that the laser cutting machine does not produce burrs when performing the laser cutting based on the adjusted values.

[0077] For example, it is assumed that the original parameter information includes the cutting line speed, the output power, and the gas pressure, and the parameter to be adjusted is the output power. The laser cutting machine adjusts the size of the output power based on the plate information, for example, increases the output power or decreases the output power, and takes the adjusted output power, the unadjusted cutting line speed, and the unadjusted gas pressure as new parameter information. The laser cutting machine performs the cutting operation based on the new parameter information, and burrs will not be produced in the cutting operation.

[0078] In the embodiment, the number of burrs is automatically identified by an algorithm stored in the image recognition unit, and when the number of burrs exceeds a threshold, the parameters preset by the technician are automatically adjusted according to the plate information, so that the effect of parameter self-adaptation to the plate can be realized, thereby improving the cutting efficiency of the laser cutting machine, and since the adjusted parameters will not cause burrs on the plate, the quality of the cut plate can also be improved.

[0079] Based on the first embodiment of the laser cutting supervision method of the present application, a second embodiment of the laser cutting supervision method of the present application is proposed.

[0080] In the embodiment, the step S10 of identifying the cutting information in the cutting picture by the image recognition unit comprises:

[0081] The step S101 of preprocessing the cutting picture comprises:

[0082] In the embodiment, since the picture collected by the industrial camera is a color picture, and the color picture is not convenient for the laser cutting machine to identify, after the image recognition unit receives the cutting picture, the cutting picture will be preprocessed to improve the accuracy of the laser cutting machine in identifying the cutting picture.

[0083] In a feasible embodiment, the preprocessing comprises grayscale processing and normalization processing, so that the step S101 of preprocessing the cutting picture comprises:

[0084] The step S1011 of grayscale processing the cutting picture to obtain a grayscale picture and normalizing the grayscale picture.

[0085] It should be noted that the grayscale processing is a process of processing the color picture into a black and white picture, and the normalization processing is a process of mapping the pixels in the pixel points in the cutting picture to the range of 【0, 1】.

[0086] In the embodiment, the cutting picture collected by the industrial camera has a large number of pixel points, and the pixel points have different colors, so that in order to facilitate the laser cutting machine to identify the burrs in the cutting picture, the laser cutting machine first performs grayscale processing on the cutting picture, converts various colors in the cutting picture into black, white and colors between black and white, and then performs normalization processing on the grayscale processed picture, and maps the pixels in the pixel points to the range of 【0, 1】.

[0087] Exemplarily, assuming that the pixel value of the industrial camera is 12 million, there are 1280x960 pixel points in the cutting picture photographed by the industrial camera, the laser cutting machine first performs grayscale processing on the 1280x960 pixel points respectively, so as to convert the colors in the 1280x960 pixel points to black, white and colors between black and white, and then converts the pixel values in the 1280x960 pixel points to the pixel range of 【0, 1】. It should be understood that, by the processing steps of grayscale processing and then normalization, the calculation amount of the laser cutting machine in the normalization processing can be effectively reduced.

[0088] Step S102: performing burr identification processing on the cutting picture after preprocessing by the image recognition unit to obtain burr information, and obtaining the cutting surface smoothness based on the burr information;

[0089] It should be noted that the image recognition unit also stores a machine learning algorithm model, and the burr identification processing is a process of convolution and classification based on the model.

[0090] As an example, a deep convolutional neural network model is stored in the image recognition unit, the image recognition unit inputs the cutting picture into the trained deep convolutional neural network model after grayscale processing and normalization processing on the cutting picture in sequence, and the deep convolutional neural network model obtains the burr information in the cutting picture through convolution, classification and other processing. In a feasible embodiment, the burr information can be judged according to the pixel point area and the pixel point color, and the laser cutting machine can determine the cutting surface smoothness based on the ratio of the area of the burrs in the burr information to the total area of the cutting picture.

[0091] Optionally, in a feasible embodiment, the step S10 of identifying the cutting information in the cutting picture by the image recognition unit further includes:

[0092] Step S103: obtaining a smooth area in the cutting picture by the image recognition unit, and performing plate identification processing on the smooth area to obtain plate information, wherein the smooth area is an area in the cutting picture that does not include the burr information.

[0093] It should be noted that the smooth area refers to other areas in the cutting picture except the cutting area, please refer to Figure 3 , Figure 3 The cutting schematic diagram of an embodiment of the laser cutting supervision method of the application, wherein 1 represents a cutting area, and 2 represents a smooth area.

[0094] It needs to be understood that the board identification processing refers to a process of identifying the granularity (indicating the roughness of the board, for example, the roughness of wood is higher than that of titanium steel, so the granularity of wood is higher than that of titanium steel) and the reflectivity of the board in the cutting picture, and comparing the granularity and the reflectivity with the preset board information table, so as to determine the current cutting board information.

[0095] As an example, the image recognition unit can also identify the non-cutting area in the cutting picture based on the difference in pigments, and enlarge the non-cutting area, then perform the granularity identification processing (judging based on the area occupied by different pixel values, for example, the higher the pixel value of black belongs to, the lower the granularity is) and the reflectivity identification processing (identifying based on the pixel value, the higher the pixel value is, the higher the reflectivity is) on the enlarged non-cutting area, and compare the obtained granularity size and reflectivity value with the preset board information, so as to determine the current cutting board type.

[0096] In the embodiment, the application reduces the calculation amount when the laser cutting machine identifies burrs and boards by performing the grayscale and normalization processing on the cutting picture, and the scheme can also improve the accuracy of board identification by identifying burrs and granularity.

[0097] Further, based on the first and second embodiments of the laser cutting supervision method of the application, a third embodiment of the laser cutting supervision method of the application is proposed.

[0098] In the embodiment, the board information includes the board type and the board thickness, and the step S20 of determining the to-be-adjusted parameter according to the board information and the parameter information includes:

[0099] The step S201 of inputting the board type and the board thickness into the preset parameter correction model to obtain parameter correction information;

[0100] As an example, the parameter correction model is a machine learning algorithm model, after the parameter correction model is constructed, the laser cutting machine stores the board type, the board thickness and the cutting parameter in the historical cutting process as historical data, and trains the parameter correction model based on the historical data. After the parameter correction model is trained, the laser cutting machine inputs the board type and the board thickness to be cut into the parameter correction model, and outputs each parameter information of the parameter correction model as the parameter correction information.

[0101] As another example, in addition to being trained according to historical data, the parameter correction model can also be provided with a parameter correction rule, which can be set by the technician according to his own experience, so that the laser cutting machine can generate new parameter information based on the parameter correction rule after inputting the plate type and plate thickness into the parameter correction model, and use the new parameter information as the parameter correction information. For example, the parameter correction rule is: when cutting titanium steel, the output power is 5000W-7000W, then the parameter correction model can output the appropriate output power value based on this rule.

[0102] Step S202: Numerically compare the parameter correction information with the parameter information to obtain the to-be-adjusted parameter.

[0103] As an example, after obtaining the parameter correction information, the laser cutting machine will compare each value in the parameter correction information with each value in the parameter information set by the technician in advance based on the pre-set comparison rule, and use the parameter that does not meet the comparison rule as the to-be-adjusted parameter.

[0104] For example, assuming the comparison rule is: when cutting carbon steel, the auxiliary gas is nitrogen, if the auxiliary gas in the parameter correction information is nitrogen, and the auxiliary gas in the parameter information is oxygen, then the auxiliary gas is the to-be-adjusted parameter.

[0105] Optionally, in a possible embodiment, the step S202 of numerically comparing the parameter correction information with the parameter information to obtain the to-be-adjusted parameter comprises:

[0106] Step S2021: Extract each parameter name in the parameter information, and determine the first value corresponding to each parameter name in the parameter correction information, and determine the second value corresponding to each parameter name in the parameter information;

[0107] As an example, assuming that the parameter information is {{output power: 5000w}, {auxiliary gas: 01}, {cutting speed: 60 meters per minute}}, the parameter correction information is {{output power: 5000w}, {auxiliary gas: 01}, {cutting speed: 50 meters per minute}}, and the code 01 represents oxygen and the code 03 represents nitrogen, then the laser cutting machine will extract the parameter names in the parameter information, thereby obtaining the parameter names of output power, auxiliary gas and cutting speed, and then obtaining the first value corresponding to the output power as 5000w, the second value corresponding to the output power as 5000w, the first value corresponding to the auxiliary gas as 01, the second value corresponding to the output power as 01, the first value corresponding to the cutting speed as 50, and the second value corresponding to the cutting speed as 60.

[0108] Step S2022: performing numerical comparison on each of the first values and each of the second values to obtain comparison results, and determining the to-be-adjusted parameter based on the comparison results.

[0109] As an example, the laser cutting machine performs numerical comparison on the first value and the second value corresponding to each parameter name to obtain comparison results, wherein the comparison results store the parameter name with the same first value and second value, and the parameter name with different first value and second value, and then the laser cutting machine takes the parameter corresponding to the parameter name with different first value and second value as the to-be-adjusted parameter.

[0110] For example, assuming that the first value corresponding to the parameter name of cutting speed is 50 and the second value is 60, the laser cutting machine takes the parameter of cutting speed as the to-be-adjusted parameter.

[0111] Optionally, in an available embodiment, the step S30 of adjusting the value corresponding to the to-be-adjusted parameter in the parameter information to obtain new parameter information comprises:

[0112] Step S301: obtaining the first value corresponding to the to-be-adjusted parameter in the parameter correction information, and comparing the first value with a preset parameter threshold value.

[0113] It should be noted that the parameter threshold value is related to each hardware in the laser cutting machine. For example, the maximum cutting speed supported by each hardware in the laser cutting machine is 100 meters per minute, and the parameter threshold value corresponding to the parameter of cutting speed is 100.

[0114] As an example, assuming that the to-be-adjusted parameter is cutting speed, and the first value corresponding to the cutting speed is 60, the laser cutting machine compares the first value 60 with the parameter threshold value 100.

[0115] Step S302: if the first value does not exceed the parameter threshold value, adjusting the value corresponding to the to-be-adjusted parameter in the parameter information to the first value, and taking the adjusted parameter information as new parameter information.

[0116] As an example, when the first value of the to-be-adjusted parameter of cutting speed is 60 and the parameter threshold value is 100, the laser cutting machine can determine that the first value does not exceed the parameter threshold value, and adjusts the value corresponding to the cutting speed in the parameter information to 60, and takes the adjusted parameter information as new parameter information.

[0117] For example, the parameter information is {output power: 5000w}, {assist gas: 01}, {cutting speed: 60 meters per minute}, the parameter correction information is {output power: 5000w}, {assist gas: 01}, {cutting speed: 50 meters per minute}, and the parameter threshold of the cutting speed is 100, then the new parameter information of the laser cutting machine is {output power: 5000w}, {assist gas: 01}, {cutting speed: 50 meters per minute}.

[0118] In the embodiment, the application can reduce the probability of burr generation in laser cutting without exceeding the bearing range of the laser cutting machine, by obtaining the correction parameter corresponding to the plate material through the parameter correction model, determining the parameter to be adjusted based on the correction parameter and the original parameter information, and assigning the to-be-adjusted parameter in the original parameter information according to the comparison result of the correction parameter and the parameter threshold.

[0119] Further, based on the first, second and third embodiments of the laser cutting supervision method of the application, the fourth embodiment of the laser cutting supervision method of the application is proposed.

[0120] In the embodiment, the laser cutting machine further comprises a nozzle light outlet hole, and the method further comprises:

[0121] Step S40: detecting the coaxiality of the nozzle light outlet hole and the laser beam, and when the coaxiality is greater than or equal to a preset coaxiality threshold, performing the step of acquiring the parameter information of the laser cutting;

[0122] Step S50: when the coaxiality is less than the coaxiality threshold, adjusting the coaxiality to the coaxiality threshold, and performing the step of acquiring the parameter information of the laser cutting.

[0123] It should be noted that the burr in the laser cutting process may be caused by inaccurate parameter setting, or the coaxiality of the laser beam and the nozzle light outlet hole may not reach the preset standard. Please refer to Figure 4 , Figure 4 The first coaxiality diagram of an embodiment of the laser cutting supervision method of the application, wherein 3 is the output range of the laser beam, and 4 is the aperture range of the nozzle light outlet hole. Since 3 and 4 are not completely coaxial, the output of the laser beam is not uniform, which may cause the appearance of burrs. Please refer to Figure 5 , Figure 5 The second coaxiality diagram of an embodiment of the laser cutting supervision method of the application, in which Figure 5 5 is the output range of the laser beam, and 6 is the aperture range of the nozzle light outlet hole. Since 5 and 6 are completely coaxial, the output of the laser beam is uniform when the laser cutting machine is cutting, so that the appearance of burrs is avoided.

[0124] As an example, the laser cutting machine detects the coaxiality of the nozzle light hole and the laser beam before acquiring the parameter information to correct the parameter information. If the coaxiality is greater than or equal to the coaxiality threshold value set by the technician in advance, it indicates that the parameter is inaccurate, and the step of acquiring the parameter information is executed. If the coaxiality is less than the coaxiality threshold value, a prompt information needs to be output to inform the technician, and the coaxiality is adjusted to the coaxiality threshold value, and the step of acquiring the parameter information is executed after the adjustment is completed.

[0125] In this embodiment, the present application improves the intelligence of the laser cutting machine in dealing with burr phenomenon by detecting the coaxiality and adjusting the coaxiality when the coaxiality is less than the coaxiality threshold value.

[0126] In addition, to solve the above problems, the present application also provides a laser cutting supervision system, which is applied to a laser cutting machine, and the laser cutting machine comprises an industrial camera and an image recognition unit.

[0127] Please refer to Figure 6 , the laser cutting supervision system comprises:

[0128] A cutting information acquisition module 10 is configured to control the industrial camera to acquire a cutting picture when performing a laser cutting operation, and identify cutting information in the cutting picture through the image recognition unit, wherein the cutting information comprises plate information and cutting surface smoothness.

[0129] A to-be-adjusted parameter determination module 20 is configured to acquire parameter information of laser cutting when the cutting surface smoothness is lower than a preset threshold value, and determine a to-be-adjusted parameter according to the plate information and the parameter information, wherein the threshold value corresponds to the plate information.

[0130] A parameter value adjustment module 30 is configured to adjust a value corresponding to the to-be-adjusted parameter in the parameter information to obtain new parameter information, and perform a laser cutting operation based on the new parameter information.

[0131] Optionally, the cutting information acquisition module 10 comprises:

[0132] A preprocessing unit is configured to preprocess the cutting picture.

[0133] A burr identification unit is configured to perform burr identification processing on the preprocessed cutting picture through the image recognition unit to obtain burr information, and obtain the cutting surface smoothness based on the burr information.

[0134] A plate material identification unit is configured to acquire a smooth region in the cutting picture through the image recognition unit, and perform plate material identification processing on the smooth region to obtain plate material information, wherein the smooth region is a region in the cutting picture that does not include the burr information.

[0135] Optionally, the preprocessing unit comprises:

[0136] A grayscale and normalization processing subunit is configured to perform grayscale processing on the cutting picture to obtain a grayscale picture, and perform normalization processing on the grayscale picture.

[0137] Optionally, the plate material information comprises a plate material type and a plate material thickness, and the to-be-adjusted parameter determination module 20 comprises:

[0138] A parameter correction unit is configured to input the plate material type and the plate material thickness into a preset parameter correction model to obtain parameter correction information.

[0139] A numerical value comparison unit is configured to perform numerical value comparison between the parameter correction information and the parameter information to obtain a to-be-adjusted parameter.

[0140] Optionally, the numerical value comparison unit comprises:

[0141] A parameter extraction subunit is configured to extract each parameter name in the parameter information, determine a first numerical value corresponding to each parameter name in the parameter correction information, and determine a second numerical value corresponding to each parameter name in the parameter information.

[0142] An comparison result determination subunit is configured to perform numerical value comparison between each first numerical value and each second numerical value to obtain a comparison result, and determine a to-be-adjusted parameter based on the comparison result.

[0143] Optionally, the parameter numerical value adjustment module 30 comprises:

[0144] A threshold comparison unit is configured to acquire a first numerical value corresponding to the to-be-adjusted parameter in the parameter correction information, and compare the first numerical value with a preset parameter threshold.

[0145] An assignment unit is configured to, if the first numerical value does not exceed the parameter threshold, adjust a numerical value corresponding to the to-be-adjusted parameter in the parameter information to the first numerical value, and take the adjusted parameter information as new parameter information.

[0146] Optionally, the laser cutting machine further comprises a nozzle light outlet hole, and the laser cutting supervision system further comprises:

[0147] A coaxiality detection module is configured to detect coaxiality of the light outlet hole of the nozzle and the laser beam, and when the coaxiality is greater than or equal to a preset coaxiality threshold, the step of acquiring the parameter information of the laser cutting is performed.

[0148] A coaxiality adjustment module is configured to adjust the coaxiality to the coaxiality threshold when the coaxiality is less than the coaxiality threshold, and perform the step of acquiring the parameter information of the laser cutting.

[0149] The functions of the modules in the laser cutting supervision system correspond to the steps in the laser cutting supervision method, and the functions and implementation processes will not be repeated here.

[0150] In addition, the present application also provides a terminal device, which comprises a memory, a processor and a laser cutting supervision program stored in the memory and executable on the processor, and the laser cutting supervision program implements the steps of the laser cutting supervision method of the present application when executed by the processor.

[0151] The terminal device of the present application has the same implementation as the laser cutting supervision method, and will not be repeated here.

[0152] In addition, the present application also provides a computer storage medium, which stores a laser cutting supervision program, and the laser cutting supervision program implements the steps of the laser cutting supervision method of the present application when executed by the processor.

[0153] The computer storage medium of the present application has the same implementation as the laser cutting supervision method, and will not be repeated here.

[0154] It should be noted that in this paper, the term "comprise", "include" or any other variant thereof is intended to cover non-exclusive inclusion, so that the process, method, article or device including a series of elements not only includes those elements, but also includes other elements not explicitly listed or inherent to such process, method, article or device. Without more limitations, the element defined by the statement "comprises a" does not exclude the presence of other identical elements in the process, method, article or device including the element.

[0155] The serial number of the above embodiments of the present application is only for description, not representing the advantages and disadvantages of the embodiments.

[0156] Those skilled in the art can clearly understand the above-mentioned embodiment method can be realized by means of software and the necessary general hardware platform, of course, can also be through hardware, but in many cases the former is a better embodiment. Based on such understanding, the technical solutions of the present application essentially or say the part of the prior art contribution can be embodied in the form of software products, the computer software product is stored in a computer storage medium (such as ROM / RAM, magnetic disk, optical disc), including a number of instructions to make a terminal device (may be a car computer, smart phone, computer, or server, etc.) executes the method described in various embodiments of the present application.

[0157] The above is only the preferred embodiment of the present application, not therefore limit the patent scope of the present application, all use the contents of the present application specification and drawings, or directly or indirectly applied in other related technical fields, equivalent structure or equivalent process transformation, are also included in the patent protection scope of the present application.

Claims

1. A laser cutting monitoring method, characterized by, The laser cutting supervision method is applied to a laser cutting machine, and the laser cutting machine comprises an industrial camera and an image recognition unit, and the laser cutting supervision method comprises the following steps: When performing a laser cutting operation, the industrial camera is controlled to capture a cutting picture, and the cutting information in the cutting picture is recognized by the image recognition unit, wherein the cutting information comprises plate information and cutting surface smoothness; When the cutting surface smoothness is lower than a preset threshold value, the parameter information of the laser cutting is obtained, and the to-be-adjusted parameter is determined according to the plate information and the parameter information, wherein the threshold value corresponds to the plate information; The value corresponding to the to-be-adjusted parameter in the parameter information is adjusted to obtain new parameter information, and the laser cutting operation is performed based on the new parameter information; The laser cutting machine further comprises a nozzle light outlet hole, and the method further comprises the following steps: The coaxiality of the nozzle light outlet hole and the laser beam is detected, and when the coaxiality is greater than or equal to a preset coaxiality threshold value, the step of obtaining the parameter information of the laser cutting is performed; when the coaxiality is less than the coaxiality threshold value, the coaxiality is adjusted to the coaxiality threshold value, and the step of obtaining the parameter information of the laser cutting is performed; wherein before the parameter information of the laser cutting is obtained to correct the parameter information, the coaxiality of the nozzle light outlet hole and the laser beam is detected, if the coaxiality is greater than or equal to the preset coaxiality threshold value, it is indicated that the reason for the burr is that the parameter is inaccurate, and the step of obtaining the parameter information of the laser cutting is performed, if the coaxiality is less than the coaxiality threshold value, prompt information is output, the coaxiality is adjusted to the coaxiality threshold value, and the step of obtaining the parameter information of the laser cutting is performed after the adjustment is completed.

2. The laser cutting monitoring method of claim 1, wherein, The step of recognizing the cutting information in the cutting picture by the image recognition unit comprises the following steps: The cutting picture is preprocessed; The burr information is obtained by performing burr recognition processing on the preprocessed cutting picture by the image recognition unit, and the cutting surface smoothness is obtained based on the burr information.

3. The laser cutting monitoring method of claim 2, wherein, The step of recognizing the cutting information in the cutting picture by the image recognition unit further comprises the following steps: The smooth area in the preprocessed cutting picture is obtained by the image recognition unit; The plate information is obtained by performing plate recognition processing on the smooth area, wherein the smooth area is an area in the cutting picture that does not include the burr information.

4. The laser cutting monitoring method of claim 1, wherein, The plate information comprises a plate type and a plate thickness, and the step of determining the to-be-adjusted parameter according to the plate information and the parameter information comprises the following steps: The plate type and the plate thickness are input into a preset parameter correction model to obtain parameter correction information; The parameter correction information and the parameter information are compared in value to obtain the to-be-adjusted parameter.

5. The laser cutting monitoring method of claim 4, wherein, The step of comparing the parameter correction information and the parameter information in value to obtain the to-be-adjusted parameter comprises the following steps: Each parameter name in the parameter information is extracted, and a first value corresponding to each parameter name in the parameter correction information is determined, and a second value corresponding to each parameter name in the parameter information is determined; The first number and the second number are compared to obtain a comparison result, and the to-be-adjusted parameter is determined based on the comparison result.

6. The laser cutting monitoring method of claim 5, wherein, The step of adjusting the number corresponding to the to-be-adjusted parameter in the parameter information to obtain new parameter information comprises: obtaining a first number corresponding to the to-be-adjusted parameter in the parameter correction information, and comparing the first number with a preset parameter threshold; if the first number does not exceed the parameter threshold, adjusting the number corresponding to the to-be-adjusted parameter in the parameter information to the first number, and taking the adjusted parameter information as new parameter information.

7. A laser cutting monitoring system, characterized by, The laser cutting supervision system is applied to a laser cutting machine, and the laser cutting machine comprises an industrial camera and an image recognition unit, and the laser cutting supervision system comprises: a cutting information acquisition module, configured to control the industrial camera to acquire a cutting picture when performing a laser cutting operation, and identify cutting information in the cutting picture through the image recognition unit, the cutting information comprising plate information and cutting surface smoothness; a to-be-adjusted parameter determination module, configured to obtain parameter information of laser cutting when the cutting surface smoothness is lower than a preset threshold, and determine a to-be-adjusted parameter according to the plate information and the parameter information, wherein the threshold corresponds to the plate information; a parameter number adjustment module, configured to adjust a number corresponding to the to-be-adjusted parameter in the parameter information to obtain new parameter information, and perform a laser cutting operation based on the new parameter information; The laser cutting machine further comprises a nozzle light outlet hole, and the laser cutting supervision system further comprises: a coaxiality detection module, configured to detect the coaxiality of the nozzle light outlet hole and a laser beam, and perform the step of obtaining the parameter information of laser cutting when the coaxiality is greater than or equal to a preset coaxiality threshold; a coaxiality adjustment module, configured to adjust the coaxiality to the coaxiality threshold when the coaxiality is less than the coaxiality threshold, and perform the step of obtaining the parameter information of laser cutting.

8. A terminal device, comprising: The terminal device comprises a memory, a processor, and a laser cutting supervision program stored on the memory and executable on the processor, and the laser cutting supervision program is executed by the processor to implement the steps of the laser cutting supervision method according to any one of claims 1 to 6.

9. A computer storage medium, characterized in that The computer storage medium stores a laser cutting supervision program, and the laser cutting supervision program is executed by the processor to implement the steps of the laser cutting supervision method according to any one of claims 1 to 6.

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