Lens contamination detection method and system, laser cutting machine and electronic device

Abstract

The application relates to the technical field of laser dustproof lens contamination detection, and provides a lens contamination detection method, a system, a laser cutting machine and electronic equipment. The lens contamination detection method is applied to a laser cutting machine, the laser cutting machine comprises a laser and a dustproof lens, and the dustproof lens is located on a laser propagation path of the laser; the lens contamination detection method comprises the following steps: detecting the contamination degree of the dustproof lens; judging whether the contamination degree of the dustproof lens is greater than a preset value; when the contamination degree of the dustproof lens is greater than the preset value, a prompt information is controlled to be sent, and the prompt information is used for reminding a user to replace the dustproof lens. According to the lens contamination detection method, whether the dustproof lens needs to be replaced can be automatically judged through detection of the contamination degree of the dustproof lens, and the intelligent degree of the laser cutting machine is effectively improved.

Description

Technical Field

[0001] This application relates to the field of laser dustproof lens contamination detection technology, and in particular to lens contamination detection methods, systems, laser cutting machines and electronic equipment. Background Technology

[0002] With the advancement of technology and the continuous development of society, various DIY small desktop devices are becoming increasingly popular. In particular, laser cutting machines are widely used in the fields of material cutting and engraving due to their simple structure, strong versatility, and low cost.

[0003] Laser cutting machines generate smoke during operation. Dustproof lenses are used to prevent smoke from condensing on the laser's optical path and damaging the laser. If the dustproof lenses are contaminated by smoke, it will affect the laser's output efficiency, so they need to be replaced from time to time.

[0004] In related technologies, the determination of whether dustproof lenses need to be replaced is mainly made by humans, and the level of intelligence needs to be improved. Summary of the Invention

[0005] This application aims to address at least one of the technical problems existing in the related art. To this end, this application proposes a laser cutting machine that automatically identifies the degree of dirt on the dustproof lens and proactively prompts the user to replace the dustproof lens, thereby improving the intelligence level of the laser cutting machine.

[0006] A laser cutting machine according to a first aspect of this application is applied to a laser cutting machine, the laser cutting machine including a laser and a dustproof lens, the dustproof lens being located on the laser propagation path of the laser; the lens contamination detection method includes:

[0007] Detect the degree of dirtiness of the dustproof lens;

[0008] Determine whether the degree of dirtiness of the dustproof lens is greater than a preset value;

[0009] When the dirt level of the dustproof lens exceeds a preset value, a prompt message is sent to remind the user to replace the dustproof lens.

[0010] According to the laser cutting machine of this application, the degree of dirtiness of the dustproof lens is detected to obtain the degree of dirtiness. Then, the degree of dirtiness is compared with a preset value to determine whether the degree of dirtiness exceeds the preset value. When it is determined that the degree of dirtiness of the dustproof lens exceeds the preset value, it indicates that the degree of dirtiness of the dustproof lens is high and has reached a level that affects the output efficiency of the laser. Therefore, a prompt message is sent to the user, so that the user is aware that the degree of dirtiness of the dustproof lens has reached the point where it needs to be replaced, allowing the user to replace the dustproof lens in a timely manner. In other words, this application can automatically determine whether the dustproof lens needs to be replaced by detecting the degree of dirtiness, effectively improving the intelligence level of the laser cutting machine.

[0011] According to one embodiment of this application, the step of detecting the degree of dirtiness of the dustproof lens includes:

[0012] The degree of dirtiness of the dustproof lens is determined based on the laser energy absorption rate of the dustproof lens.

[0013] According to one embodiment of this application, the step of determining the degree of dirtiness of the dustproof lens based on the laser energy absorption rate of the dustproof lens includes:

[0014] The degree of dirtiness of the dustproof lens is determined based on the laser energy absorption rate and the heat capacity of the dustproof lens.

[0015] According to one embodiment of this application, the step of determining the degree of dirtiness of the dustproof lens based on the laser energy absorption rate of the dustproof lens includes:

[0016] Obtain the temperature data of the dustproof lens and the ambient temperature data;

[0017] Based on the temperature data of the dustproof lens and the ambient temperature data, the temperature difference between the dustproof lens and the environment is determined;

[0018] The degree of dirtiness of the dustproof lens is determined based on the temperature difference data and the output power of the laser.

[0019] According to one embodiment of this application, the step of obtaining the temperature data of the dustproof lens and the ambient temperature data includes:

[0020] With t period The temperature of the dustproof lens and the ambient temperature are sampled at intervals.

[0021] The step of determining the temperature difference between the dustproof lens and the environment based on the temperature data of the dustproof lens and the ambient temperature data includes:

[0022] Based on the temperature data of the dustproof lens and the ambient temperature data, the dustproof lens-ambient temperature difference array T is determined, and the relationship between the temperature change rate of the dustproof lens and the temperature difference is determined as D(T);

[0023] The step of determining the degree of dirtiness of the dustproof lens based on the temperature difference data and the output power of the laser includes:

[0024] Based on formula The degree of dirtiness of the dustproof lens is determined, where K is the degree of dirtiness of the dustproof lens and P is the output power of the laser.

[0025] The lens dirt detection system according to a second aspect embodiment of this application includes:

[0026] A detection module is used to detect the degree of dirtiness of the dustproof lens;

[0027] The judgment module is used to determine whether the degree of dirtiness of the dustproof lens is greater than a preset value;

[0028] The control module is used to send a prompt message when the dirt level of the dustproof lens exceeds a preset value. The prompt message is used to remind the user to replace the dustproof lens.

[0029] A laser cutting machine according to a third aspect of this application includes a control unit for performing the lens contamination detection method described above.

[0030] An electronic device according to a fourth aspect of this application includes a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, it implements the above-described method for detecting lens dirt.

[0031] According to a fifth aspect embodiment of the present application, a non-transitory computer-readable storage medium includes a computer program that, when executed by the processor, implements the above-described lens dirt detection method.

[0032] According to a sixth aspect of this application, the computer program product includes a computer program that, when executed by the processor, implements the above-described lens dirt detection method.

[0033] Additional aspects and advantages of this application will be set forth in part in the description which follows, and in part will be obvious from the description, or may be learned by practice of this application. Attached Figure Description

[0034] To more clearly illustrate the technical solutions in the embodiments or related technologies of this application, the accompanying drawings used in the description of the embodiments or related technologies will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of this application. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0035] Figure 1 This is one of the structural schematic diagrams of the laser cutting machine provided in the embodiments of this application;

[0036] Figure 2 This is a second schematic diagram of the structure of the laser cutting machine provided in the embodiments of this application;

[0037] Figure 3 This is provided by the embodiments of this application. Figure 2 Enlarged structural diagram at point A;

[0038] Figure 4 This is one of the partial structural schematic diagrams of the laser cutting machine provided in the embodiments of this application;

[0039] Figure 5 This is a second partial structural schematic diagram of the laser cutting machine provided in the embodiments of this application;

[0040] Figure 6 This is a schematic flowchart of the lens dirt detection method provided in the embodiments of this application;

[0041] Figure 7 This is a schematic diagram of the lens dirt detection system provided in this application;

[0042] Figure 8 This is a schematic diagram of the structure of the electronic device provided in this application. Detailed Implementation

[0043] The embodiments of this application will be described in further detail below with reference to the accompanying drawings and examples. The following examples are used to illustrate this application, but should not be used to limit the scope of this application.

[0044] In the description of the embodiments of this application, it should be noted that the terms "center," "longitudinal," "lateral," "upper," "lower," "front," "rear," "left," "right," "vertical," "horizontal," "top," "bottom," "inner," and "outer," etc., indicate the orientation or positional relationship based on the orientation or positional relationship shown in the accompanying drawings. They are only for the convenience of describing the embodiments of this application and simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, or be constructed and operated in a specific orientation. Therefore, they should not be construed as limitations on the embodiments of this application. In addition, the terms "first," "second," and "third" are used for descriptive purposes only and should not be construed as indicating or implying relative importance.

[0045] In the description of the embodiments of this application, it should be noted that, unless otherwise explicitly specified and limited, the terms "connected" and "linked" should be interpreted broadly. For example, they can refer to a fixed connection, a detachable connection, or an integral connection; they can refer to a mechanical connection or an electrical connection; they can refer to a direct connection or an indirect connection through an intermediate medium. Those skilled in the art can understand the specific meaning of the above terms in the embodiments of this application based on the specific circumstances.

[0046] In the embodiments of this application, unless otherwise expressly specified and limited, "above" or "below" the second feature can mean that the first feature is in direct contact with the second feature, or that the first feature is in indirect contact with the second feature through an intermediate medium. Furthermore, "above," "on top of," and "over" the second feature can mean that the first feature is directly above or diagonally above the second feature, or simply that the first feature is at a higher horizontal level than the second feature. "Below," "below," and "under" the second feature can mean that the first feature is directly below or diagonally below the second feature, or simply that the first feature is at a lower horizontal level than the second feature.

[0047] In the description of this specification, the references to terms such as "one embodiment," "some embodiments," "example," "specific example," or "some examples," etc., refer to specific features, structures, materials, or characteristics described in connection with that embodiment or example, which are included in at least one embodiment or example of the embodiments of this application. In this specification, the illustrative expressions of the above terms do not necessarily refer to the same embodiment or example. Furthermore, the specific features, structures, materials, or characteristics described may be combined in any suitable manner in one or more embodiments or examples. Moreover, without contradiction, those skilled in the art can combine and integrate the different embodiments or examples described in this specification, as well as the features of different embodiments or examples.

[0048] This application provides an embodiment of a method for detecting lens dirt. It should be noted that although the logical order is shown in the flowchart, under certain conditions, the steps shown or described may be performed in a different order than that shown here.

[0049] Before introducing the lens dirt detection method of the present application embodiment, the application scenarios of the lens dirt detection method will be explained first. The lens dirt detection method of the present application can be applied to laser cutting machines, as well as to smart terminals such as smartphones, tablets and computers, and can also be applied to servers. The present application does not make any special limitations here, as long as it can support and implement the lens dirt detection method of the present application.

[0050] The following is combined Figures 1 to 8This application describes the lens dirt detection method, system, laser cutting machine, and electronic equipment.

[0051] According to an embodiment of the first aspect of this application, a lens contamination detection method is applied to a laser cutting machine, the laser cutting machine including a laser and a dustproof lens, the dustproof lens being located in the laser propagation path of the laser; the lens contamination detection method includes:

[0052] S100. Detect the degree of dirtiness of the dustproof lens;

[0053] S200. Determine whether the degree of dirtiness of the dustproof lens is greater than a preset value;

[0054] S300. When the degree of dirtiness of the dustproof lens exceeds a preset value, a prompt message is sent to remind the user to replace the dustproof lens.

[0055] According to the lens dirt detection method of this application embodiment, the degree of dirtiness of the dustproof lens is detected to obtain the degree of dirtiness. Then, the degree of dirtiness of the dustproof lens is compared with a preset value to determine whether the degree of dirtiness of the dustproof lens exceeds the preset value. When it is determined that the degree of dirtiness of the dustproof lens exceeds the preset value, it indicates that the degree of dirtiness of the dustproof lens is high and has reached a level that affects the output efficiency of the laser. Therefore, a prompt message is sent to the user so that the user is aware that the degree of dirtiness of the dustproof lens has reached the point where it needs to be replaced, so that the user can replace the dustproof lens in a timely manner. In other words, this application can automatically determine whether the dustproof lens needs to be replaced by detecting the degree of dirtiness of the dustproof lens, effectively improving the intelligence level of the laser cutting machine.

[0056] Understandably, the prompts can be sent to the human-computer interaction interface, or they can be conveyed to the user through sound or light.

[0057] In some embodiments, the step of detecting the degree of dirtiness of the dustproof lens includes:

[0058] The degree of dirtiness of the dustproof lens is determined based on the laser energy absorption rate of the dustproof lens.

[0059] Understandably, when testing the dirtiness of a dustproof lens, the laser energy absorption rate of the dustproof lens is first obtained, and then the degree of dirtiness of the dustproof lens is determined based on the laser energy absorption rate of the dustproof lens.

[0060] It is understandable that the laser energy absorption rate of the dustproof lens can be pre-stored. For example, the laser energy absorption rate of the dustproof lens can be measured in advance under different conditions.

[0061] In some examples, a laser is controlled to emit laser light towards a dustproof lens. The energy delivered by the laser to the dustproof lens can be determined based on the output power of the laser and the unit time. The absorbed energy of the dustproof lens can be calculated based on the temperature change of the dustproof lens within the unit time. Then, the laser energy absorption rate of the dustproof lens can be determined based on the energy delivered by the laser to the dustproof lens and the absorbed energy of the dustproof lens.

[0062] In some embodiments, the step of determining the degree of dirtiness of the dustproof lens based on the laser energy absorption rate of the dustproof lens includes:

[0063] The degree of dirtiness of the dustproof lens is determined based on the laser energy absorption rate and the heat capacity of the dustproof lens.

[0064] It is understandable that when using the laser energy absorptivity of a dustproof lens to determine its degree of dirtiness, both the laser energy absorptivity and the specific heat capacity of the dustproof lens can be obtained simultaneously. Determining the degree of dirtiness of the dustproof lens based on its laser energy absorptivity and specific heat capacity can effectively improve the accuracy of detecting the degree of dirtiness of the dustproof lens.

[0065] In some embodiments, the step of determining the degree of dirtiness of the dustproof lens based on the laser energy absorption rate of the dustproof lens includes:

[0066] Obtain the temperature data of the dustproof lens and the ambient temperature data;

[0067] Based on the temperature data of the dustproof lens and the ambient temperature data, the temperature difference between the dustproof lens and the environment is determined;

[0068] The degree of dirtiness of the dustproof lens is determined based on the temperature difference data and the output power of the laser.

[0069] Understandably, by acquiring the temperature of the dustproof lens and the ambient temperature, and comparing them, the temperature difference between the dustproof lens and the environment can be calculated. By measuring the temperature of the dustproof lens and the ambient temperature at different times, the temperature difference between the dustproof lens and the environment at different time points can be obtained. Then, using the temperature difference data and the laser's output power, the degree of dirtiness of the dustproof lens can be determined, achieving automated detection of the dirtiness level of the dustproof lens.

[0070] In some embodiments, the step of acquiring the temperature data of the dustproof lens and the ambient temperature data includes:

[0071] With t period The temperature of the dustproof lens and the ambient temperature are sampled at intervals.

[0072] The step of determining the temperature difference between the dustproof lens and the environment based on the temperature data of the dustproof lens and the ambient temperature data includes:

[0073] Based on the temperature data of the dustproof lens and the ambient temperature data, the dustproof lens-ambient temperature difference array T is determined, and the relationship between the temperature change rate of the dustproof lens and the temperature difference is determined as D(T);

[0074] The step of determining the degree of dirtiness of the dustproof lens based on the temperature difference data and the output power of the laser includes:

[0075] Based on formula The degree of dirtiness of the dustproof lens is determined, where K is the degree of dirtiness of the dustproof lens and P is the output power of the laser.

[0076] It is understandable that, in time t period To obtain a lens-ambient temperature difference array T of length N, the temperature of the dustproof lens and the ambient temperature are sampled at intervals and the difference is calculated. At the same time, the output power of the laser is recorded to obtain the laser output power array P. The degree of dirtiness of the dustproof lens can be calculated by using the bisection table lookup method and the linear interpolation method.

[0077] The principles of this application will be further explained below:

[0078] By Newton's law of cooling It can be seen that the cooling rate of an object is directly proportional to the temperature difference between the object and the ambient temperature. T is the instantaneous temperature of the object; T env. It is the ambient temperature; k is the cooling rate, which depends on the material of the object and the environmental conditions. It is the rate of change of an object's temperature over time.

[0079] The temperature difference between the dustproof lens and the ambient temperature after light emission ceases is calculated to obtain the lens-ambient temperature difference data. By fitting this data, the lens-ambient temperature difference time curve is obtained.

[0080] T lens-env. (t)

[0081] Taking its derivative with respect to time, we obtain the relationship between the rate of change of lens temperature and time as follows:

[0082]

[0083] Eliminating the time parameter t and rearranging, the relationship between the rate of temperature change and the temperature difference is obtained as follows:

[0084]

[0085] The absorption power of the dustproof lens for laser energy is:

[0086] P lens =K lens P LASER .

[0087] Among them, P lens It is the absorption power of the laser energy by the dustproof lens; P LASER It is the output power of the laser; K lens It is the absorption rate of laser energy by the dustproof lens.

[0088] The relationship between the heat and temperature change of an object is as follows:

[0089] Q = cmΔT = CΔT.

[0090] Where Q is the heat increment of the object; c is the specific heat capacity of the substance; m is the mass of the object; ΔT is the temperature increment; and C is the heat capacity of the object.

[0091] The dustproof lens is relatively independent. Considering the general situation, its heat is only input by the laser and dissipated only through the environment. Therefore, we have the expression for the heat change of the dustproof lens.

[0092] dQ=[P lens +CD(T lens-env. )]dt

[0093] Then we get

[0094]

[0095] Then there

[0096]

[0097] The degree of dirtiness of dustproof lenses is defined as follows:

[0098]

[0099] Then there is

[0100]

[0101] The absorption rate K of the dustproof lens for laser energy lens Since the degree of contamination is positively correlated with the object's heat capacity C, which is a constant, the dirtiness index K of dustproof lenses can be used to evaluate the degree of contamination of dustproof lenses.

[0102] According to an embodiment of the second aspect of this application, the lens dirt detection system and the lens dirt detection method correspond to each other. For example... Figure 7 As shown, the lens dirt detection system includes:

[0103] The detection module 201 is used to detect the degree of dirt on the dustproof lens;

[0104] The judgment module 202 is used to determine whether the degree of dirtiness of the dustproof lens is greater than a preset value;

[0105] The control module 203 is used to send a prompt message when the dirt level of the dustproof lens is greater than a preset value. The prompt message is used to remind the user to replace the dustproof lens.

[0106] According to an embodiment of the third aspect of this application, the laser cutting machine includes a control component for performing the above-described lens contamination detection method.

[0107] In some embodiments, such as Figure 1 and Figure 2 As shown, the laser cutting machine includes:

[0108] Casing 10;

[0109] Z-axis drive assembly 20 is connected to the housing 10;

[0110] Laser 30 is connected to Z-axis drive assembly 20, which is used to drive laser 30 to move along Z-axis;

[0111] A detection slider 40 is connected to the laser 30, and the detection slider 40 can move relative to the laser 30 on the Z-axis;

[0112] A contact switch 50 is installed on the laser 30, and the contact switch 50 is located on the moving path of the detection slider 40;

[0113] A control component 60 is installed in the housing 10. The contact switch 50 and the Z-axis drive assembly 20 are both electrically connected to the control component 60. The control component 60 is used to receive the electrical signal generated by the contact switch 50. The control component 60 is configured to determine the working height of the laser 30 based on the electrical signal generated by the contact switch 50.

[0114] Understandably, when the workpiece is positioned below the laser cutting machine, the control unit 60 controls the Z-axis drive assembly 20 to move the laser 30 along the Z-axis, causing the laser 30 and the detection slider 40 mounted on the laser 30 to move towards the workpiece. When the detection slider 40 contacts the workpiece, under the reaction force of the workpiece, the detection slider 40 moves relative to the laser 30 and triggers the contact switch 50. The contact switch 50 generates an electrical signal upon triggering, which is then sent to the control unit 60. This allows the control unit 60 to determine the working height of the laser 30 based on the electrical signal generated by the contact switch 50, achieving intelligent detection and determination of the laser 30's working height, enabling precise and rapid determination of the focusing height.

[0115] Understandably, focus height is a crucial parameter when using a laser cutting machine, directly impacting the quality and effect of engraving or cutting. Focus height refers to the distance between the laser head and the surface of the material being processed. Correct focus height ensures the laser beam is focused on the material surface, resulting in optimal engraving or cutting effects.

[0116] For example, the control unit 60 can determine the working time of the Z-axis drive assembly 20 based on the time it receives the electrical signal generated by the contact switch 50, which means it can determine the time it takes for the Z-axis drive assembly 20 to drive the laser 30 to move along the Z-axis to the workpiece. Based on the working parameters of the Z-axis drive assembly 20, the moving speed of the laser 30 can be determined. Then, the control unit 60 can determine the moving distance of the laser 30, that is, the working height of the laser 30, and thus determine the focusing height of the laser cutting machine.

[0117] In some embodiments, such as Figure 2 and Figure 3 As shown, the laser 30 includes a body 301 and a guide post. The guide post is connected to the connecting surface 302 of the body 301 away from the housing 10. The detection slider 40 is sleeved on the guide post and can slide relative to the guide post. The contact switch 50 is installed on the connecting surface 302 and is located between the detection slider 40 and the connecting surface 302.

[0118] Understandably, the guide post guides the movement of the detection slider 40. The contact switch 50 is positioned between the detection slider 40 and the connecting surface 302; therefore, when the detection slider 40 contacts the workpiece and moves towards the connecting surface 302, it triggers the contact switch 50.

[0119] In some embodiments, the laser cutting machine further includes a locking assembly connected to the detection slider 40. The locking structure includes a locked state and an unlocked state. In the locked state, the locking structure is fixedly connected to the detection slider 40 and the laser 30. In the unlocked state, the detection slider 40 is movable relative to the laser 30.

[0120] Understandably, when the working height needs to be determined, the locking component is in the unlocked state, allowing the detection slider 40 to move relative to the laser 30, so that the detection slider 40 can trigger the contact switch 50 after contacting the workpiece.

[0121] After the working height is determined, if the detection slider 40 is still movable, it may affect the laser engraving. Therefore, after the working height is determined, that is, when the detection slider 40 triggers the contact switch 50, the locking assembly is locked. The locking structure fixes the detection slider 40 and the laser 30, so that the detection slider 40 can no longer move relative to the laser 30, thus avoiding any impact on the laser engraving.

[0122] Specifically, the locking assembly includes a clamping member and a driving member. The driving member is connected to the detection slider 40 and the clamping member. The driving member drives the clamping member to open and close, switching the clamping member between a clamped state and a released state. In the clamped state, the clamping member is fixedly connected to the guide post. In the released state, the clamping member is spaced apart from the guide post. It can be understood that when the detection slider 40 needs to be movable, the driving member is controlled to open the clamping member, placing it in the released state. When the detection slider 40 does not need to be movable, the driving member is controlled to clamp the clamping member, placing it in the clamped state, thus fixing the clamping member to the guide post and the detection slider 40.

[0123] Furthermore, the driving component is connected to the control component 60, which is configured to: determine that the detection slider 40 is in contact with the workpiece; control the Z-axis drive assembly 20 to keep the detection slider 40 in contact with the workpiece; determine that the contact switch 50 is triggered; control the driving component to drive the clamping component to clamp; and control the Z-axis drive assembly 20 to move the laser 30. In other words, after the detection slider 40 contacts the workpiece, it does not move initially. Once the contact switch 50 is triggered and generates an electrical signal, the clamping component is first controlled to fix the detection slider 40 and the guide post. Then, the Z-axis drive assembly 20 is controlled to move the laser 30 and the detection slider 40 away from the workpiece, ensuring that the detection slider 40 does not protrude beyond the laser 30 when it is fixed.

[0124] In some embodiments, the laser cutting machine includes at least two contact switches 50, the at least two contact switches 50 including a first contact switch 50 and a second contact switch 50, the first contact switch 50 and the second contact switch 50 being symmetrically arranged about the guide post.

[0125] Understandably, by having at least two contact switches 50, even if one contact switch 50 fails, the other contact switch 50 can still work normally, thus improving the working stability of the laser cutting machine.

[0126] In some embodiments, a buffer block is connected to the end face of the detection slider 40 that is away from the detection surface.

[0127] It is understandable that by setting up a buffer block, the detection slider 40 will not directly contact the workpiece, so as to avoid damage to the workpiece.

[0128] In some embodiments, such as Figure 2 and Figure 3 As shown, the laser cutting machine also includes a motion component 70, which is mounted on the housing 10. The Z-axis drive component 20 is connected to the motion component 70, and the motion component 70 is used to drive the Z-axis drive component 20 to move along the X-axis and / or Y-axis.

[0129] Understandably, the motion component 70 drives the Z-axis drive component 20 to move along the X-axis and / or Y-axis, and the laser 30 is connected to the Z-axis drive component 20, thus the laser 30 also moves along the X-axis and / or Y-axis. In other words, through the cooperation of the motion component 70 and the Z-axis drive component 20, the laser 30 can move in three directions: X-axis, Y-axis, and Z-axis, enabling the laser 30 to perform fine engraving on the workpiece.

[0130] In some embodiments, such as Figure 2 As shown, the motion component 70 includes an X-axis drive component 701, and the Z-axis drive component 20 is connected to the X-axis drive component 701. The X-axis drive component 701 is used to drive the Z-axis drive component 20 to move along the X-axis direction.

[0131] It is understandable that when the X-axis drive assembly 701 drives the Z-axis drive assembly 20 to move along the X-axis direction, the laser 30 will also move along the X-axis direction. In other words, through the cooperation of the X-axis drive assembly 701 and the Z-axis drive assembly 20, the laser 30 can be moved along both the Z-axis and X-axis directions.

[0132] In some embodiments, such as Figure 2As shown, the motion component 70 includes a Y-axis drive component 702, which is mounted on the housing 10. The X-axis drive component 701 is connected to the Y-axis drive component 702, and the Y-axis drive component 702 is used to drive the X-axis drive component 701 to move.

[0133] It is understandable that when the Y-axis drive assembly 702 drives the Z-axis drive assembly 20 to move along the Y-axis, the laser 30 will also move along the Y-axis. In other words, through the cooperation of the Y-axis drive assembly 702 and the Z-axis drive assembly 20, the laser 30 can be moved along both the Z and Y axes.

[0134] In some examples, the X-axis drive assembly 701, the Y-axis drive assembly 702, and the Z-axis drive assembly 20 are, for example, drive motors or drive cylinders.

[0135] In some embodiments, such as Figure 2 and Figure 3 As shown, the housing 10 has a receiving cavity 101, and the motion component 70 is disposed in the receiving cavity 101.

[0136] Understandably, by placing the motion component 70 within the receiving cavity 101, the space of the laser cutting machine is fully utilized, making the structure of the laser cutting machine compact and reducing its size.

[0137] In some embodiments, such as Figure 1 and Figure 2 As shown, the laser cutting machine also includes a plurality of support columns 80, which are connected to the housing 10, and the plurality of support columns 80 are evenly arranged along the circumference of the housing 10.

[0138] Understandably, by providing multiple support pillars 80, the support pillars 80 can support the shell 10. The evenly distributed multiple support pillars 80 can provide stable support.

[0139] To improve the engraving accuracy of laser cutting machines, it is also necessary to perform level calibration. Specifically, such as... Figure 4 and Figure 5 ,

[0140] Laser cutting machines also include a worktable, which is used to support the workpiece.

[0141] Laser cutting machines also include:

[0142] A calibration assembly connected to the laser 30 includes a calibration mounting plate 1, a first Y-axis detection block 2, a second Y-axis detection block 3, and a Z-axis detection block 4. The first Y-axis detection block 2 and the second Y-axis detection block 3 are stacked relative to the Z-axis detection block 4. The upper surfaces of the first Y-axis detection block 2, the second Y-axis detection block 3, and the Z-axis detection block 4 are all on the same plane. The first Y-axis detection block 2 and the second Y-axis detection block 3 are mounted on the first end of the calibration mounting plate 1, and the Z-axis detection block 4 is mounted on the calibration mounting plate 1. The Z-axis detection block 4 is farther away from the first end of the calibration mounting plate 1 than the first Y-axis detection block 2 and the second Y-axis detection block 3.

[0143] The detection assembly is mounted on the worktable and includes a detection mounting plate 5, a first Y-axis pressure detection unit 6, a second Y-axis pressure detection unit 7, and a Z-axis pressure detection unit 8. The first Y-axis pressure detection unit 6 and the second Y-axis pressure detection unit 7 are symmetrically arranged with respect to the Z-axis pressure detection unit 8. The lower surfaces of the first Y-axis pressure detection unit 6, the second Y-axis pressure detection unit 7, and the Z-axis pressure detection unit 8 are all on the same plane. The first Y-axis pressure detection unit 6 and the second Y-axis pressure detection unit 7 are mounted on the first end of the detection mounting plate 5, and the Z-axis pressure detection unit 8 is mounted on the detection mounting plate 5. The Z-axis pressure detection unit 8 is farther away from the first end of the detection mounting plate 5 than the first Y-axis pressure detection unit 6 and the second Y-axis pressure detection unit 7.

[0144] The Z-axis detection block 4 is equipped with a signal source, and the Z-axis pressure detection part 8 is equipped with a signal detection element. The signal detection element is suitable for detecting the signal strength of the signal source, and the signal detection element is electrically connected to the control component 60.

[0145] Understandably, during the calibration operation, the motion component 70 and the Z-axis drive component 20 move the calibration mounting plate 1 to the preset calibration position, and then continue to move the calibration mounting plate 1. At this time, the signal source can be detected by the signal detection component. The closer the signal source is to the signal detection component, the stronger the signal strength detected by the signal detection component. Based on the detection result of the signal detection component, the calibration mounting plate 1 is controlled to move in the direction of signal enhancement, thereby guiding the movement of the calibration mounting plate 1 to quickly bring the Z-axis detection block 4 and the Z-axis pressure detection unit 8 into contact. At this time, even if the first Y-axis detection block 2 is not in contact with the first Y-axis pressure detection unit 6, it is close to the first Y-axis pressure detection unit 6. Even if the second Y-axis detection block 3 is not in contact with the second Y-axis pressure detection unit 7, it is close to the second Y-axis pressure detection unit 7. Only slight adjustments are needed to bring the first Y-axis detection block 2 into contact with the first Y-axis pressure detection unit 6 and the second Y-axis detection block 3 into contact with the second Y-axis pressure detection unit 7, making the horizontal calibration simpler and faster. When the Z-axis detection block 4 and the Z-axis pressure detection unit 8 come into contact, the Z-axis pressure detection unit 8 will detect pressure. When the first Y-axis detection block 2 comes into contact with the first Y-axis pressure detection unit 6, the first Y-axis pressure detection unit 6 will detect pressure. When the second Y-axis detection block 3 comes into contact with the second Y-axis pressure detection unit 7, the second Y-axis pressure detection unit 7 will detect pressure. Based on the detection data of the first Y-axis pressure detection unit 6, the second Y-axis pressure detection unit 7, and the Z-axis pressure detection unit 8, the positions of the first Y-axis detection block 2, the second Y-axis detection block 3, and the Z-axis detection block 4 can be determined. When it is determined that the first Y-axis detection block 2 comes into contact with the first Y-axis pressure detection unit 6, the second Y-axis detection block 3 comes into contact with the second Y-axis pressure detection unit 7, and the Z-axis detection block 4 comes into contact with the Z-axis pressure detection unit 8, the Z-axis coordinate of the Z-axis detection block 4 at this time can be obtained. The Z-axis coordinate at this time is the Z value in the calibration point coordinate parameters. Based on the coordinates of the first Y-axis detection block 2 and the second Y-axis detection block 3 at this time, the Y value and U value in the calibration point coordinate parameters can be determined. Furthermore, it eliminates the need for manual judgment on whether the detection block is in contact with the pressure detection unit, thereby improving the intelligence level of horizontal calibration and effectively avoiding deviations in the obtained calibration point coordinate parameters.

[0146] It is understandable that the Y and U values ​​in the calibration point coordinate parameters are determined based on the coordinates of the first Y-axis detection block 2 and the second Y-axis detection block 3 at this time. This can be done by using the coordinates of the midpoint of the line connecting the first Y-axis detection block 2 and the second Y-axis detection block 3 to determine the Y and U values ​​in the calibration point coordinate parameters, or by combining the coordinate parameters of the first Y-axis detection block 2 and the second Y-axis detection block 3.

[0147] It should be noted that the end of the detection mounting plate 5 closest to the calibration mounting plate 1 has an arc-shaped structure, but the detection mounting plate 5 can also be a circular structure.

[0148] In one embodiment of this application, the laser cutting machine further includes a calibration component for calibrating the movement of the calibration mounting plate 1. The calibration component includes a first Y-axis calibration component, a second Y-axis calibration component, and a Z-axis calibration component. The first Y-axis calibration component is disposed between the first Y-axis pressure detection unit 6 and the end of the first end of the detection mounting plate 5. The second Y-axis calibration component is disposed between the second Y-axis pressure detection unit 7 and the end of the first end of the detection mounting plate 5. The Z-axis calibration component is disposed between the Z-axis pressure detection unit 8 and the first Y-axis pressure detection unit 6. The lines connecting the first Y-axis calibration component and the first Y-axis pressure detection unit 6, the second Y-axis calibration component and the second Y-axis pressure detection unit 7, and the Z-axis calibration component and the Z-axis pressure detection unit 8 are all parallel to each other.

[0149] Understandably, the calibration component can be used to perform preliminary calibration on the movement of the calibration mounting plate 1, so that the first Y-axis detection block 2 moves toward the first Y-axis pressure detection unit 6, the second Y-axis detection block 3 moves toward the second Y-axis pressure detection unit 7, and the Z-axis detection block 4 moves toward the Z-axis pressure detection unit 8.

[0150] Specifically, the first Y-axis calibrator is located in front of the first Y-axis pressure detection unit 6. That is, for the first Y-axis detection block 2 to move to the first Y-axis pressure detection unit 6, it must first pass through the first Y-axis calibrator. The first Y-axis calibrator only allows the first Y-axis detection block 2 to pass through; the second Y-axis detection block 3 or the Z-axis detection block 4 cannot pass through it. This ensures that the first Y-axis detection block 2 is the one that moves to the first Y-axis pressure detection unit 6 after passing through the first Y-axis calibrator, thus ensuring the accuracy of the horizontal calibration. The principles of the second Y-axis calibrator and the Z-axis calibrator are the same as those of the first Y-axis calibrator and will not be repeated here.

[0151] According to the embodiments of the fourth aspect of this application, such as Figure 8 As shown, the electronic device may include: a processor 310, a communication interface 320, a memory 330, and a communication bus 340, wherein the processor 310, the communication interface 320, and the memory 330 communicate with each other via the communication bus 340. The processor 310 can call logical instructions in the memory 330 to execute a lens dirt detection method, which includes:

[0152] Detect the degree of dirtiness of the dustproof lens;

[0153] Determine whether the degree of dirtiness of the dustproof lens is greater than a preset value;

[0154] When the dirt level of the dustproof lens exceeds a preset value, a prompt message is sent to remind the user to replace the dustproof lens.

[0155] Furthermore, the logical instructions in the aforementioned memory 330 can be implemented as software functional units and, when sold or used as independent products, can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of this application, in essence, or the part that contributes to the prior art, or a part of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods of the various embodiments of this invention. The aforementioned storage medium includes various media capable of storing program code, such as USB flash drives, portable hard drives, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks.

[0156] On the other hand, this application also provides a computer program product, which includes a computer program stored on a non-transitory computer-readable storage medium. The computer program includes program instructions, and when the program instructions are executed by the computer, the computer is able to perform the lens contamination detection method provided by the above methods, the method including:

[0157] Detect the degree of dirtiness of the dustproof lens;

[0158] Determine whether the degree of dirtiness of the dustproof lens is greater than a preset value;

[0159] When the dirt level of the dustproof lens exceeds a preset value, a prompt message is sent to remind the user to replace the dustproof lens.

[0160] According to an embodiment of the fifth aspect of this application, the application further includes a non-transitory computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, is implemented to perform the lens contamination detection methods provided above, the method comprising:

[0161] Detect the degree of dirtiness of the dustproof lens;

[0162] Determine whether the degree of dirtiness of the dustproof lens is greater than a preset value;

[0163] When the dirt level of the dustproof lens exceeds a preset value, a prompt message is sent to remind the user to replace the dustproof lens.

[0164] The device embodiments described above are merely illustrative. The units described as separate components may or may not be physically separate, and the components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the modules can be selected to achieve the purpose of this embodiment according to actual needs. Those skilled in the art can understand and implement this without any creative effort.

[0165] Through the above description of the embodiments, those skilled in the art can clearly understand that each embodiment can be implemented using software plus necessary general-purpose hardware platforms, and of course, it can also be implemented using hardware. Based on this understanding, the above technical solutions, in essence or the parts that contribute to the prior art, can be embodied in the form of a software product. This computer software product can be stored in a computer-readable storage medium, such as ROM / RAM, magnetic disk, optical disk, etc., and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute the methods of various embodiments or some parts of embodiments.

[0166] Finally, it should be noted that the above embodiments are only used to illustrate this application and are not intended to limit this application. Although this application has been described in detail with reference to the embodiments, those skilled in the art should understand that various combinations, modifications, or equivalent substitutions of the technical solutions of this application do not depart from the spirit and scope of the technical solutions of this application and should be covered within the scope of the claims of this application.

Claims

1. A method for detecting dirt on lenses, characterized in that, An application in a laser cutting machine, the laser cutting machine including a laser and a dustproof lens, the dustproof lens being located in the laser propagation path of the laser; the method for detecting dirt on the lens includes: Detect the degree of dirtiness of the dustproof lens; Determine whether the degree of dirtiness of the dustproof lens is greater than a preset value; When the dirt level of the dustproof lens exceeds a preset value, a prompt message is sent to remind the user to replace the dustproof lens. The step of detecting the degree of dirt on the dustproof lens includes: The degree of dirtiness of the dustproof lens is determined based on the laser energy absorption rate of the dustproof lens; The step of determining the degree of dirtiness of the dustproof lens based on the laser energy absorption rate of the dustproof lens includes: Obtain the temperature data of the dustproof lens and the ambient temperature data; Based on the temperature data of the dustproof lens and the ambient temperature data, the temperature difference between the dustproof lens and the environment is determined; Based on the temperature difference data and the output power of the laser, the degree of dirtiness of the dustproof lens is determined; The steps of obtaining the temperature data of the dustproof lens and the ambient temperature data include: by The temperature of the dustproof lens and the ambient temperature are sampled at intervals. The step of determining the temperature difference between the dustproof lens and the environment based on the temperature data of the dustproof lens and the ambient temperature data includes: Based on the temperature data of the dustproof lens and the ambient temperature data, determine the dustproof lens-ambient temperature difference array. The relationship between the rate of temperature change of the dustproof lens and the temperature difference was determined as follows: ; The step of determining the degree of dirtiness of the dustproof lens based on the temperature difference data and the output power of the laser includes: Based on formula The degree of dirtiness of the dustproof lens is determined, where K is the degree of dirtiness of the dustproof lens and P is the output power of the laser.

2. A lens dirt detection system for performing the lens dirt detection method as described in claim 1, characterized in that, include: A detection module is used to detect the degree of dirtiness of the dustproof lens; The judgment module is used to determine whether the degree of dirtiness of the dustproof lens is greater than a preset value; The control module is used to send a prompt message when the dirt level of the dustproof lens exceeds a preset value. The prompt message is used to remind the user to replace the dustproof lens.

3. A laser cutting machine, characterized in that, It includes a control component for performing the lens dirt detection method as described in claim 1.

4. An electronic device, the electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that, When the processor executes the computer program, it implements the lens dirt detection method of claim 1.

5. A non-transitory computer-readable storage medium, the non-transitory computer-readable storage medium comprising a computer program, characterized in that, When the computer program is executed by the processor, it implements the lens dirt detection method of claim 1.

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