Detection method, system and equipment for intelligent manufacturing of industrial linear actuator

Abstract

The invention belongs to the technical field of testing, and particularly relates to flaw testing, in particular to a detection method, system and equipment for intelligent manufacturing of an industrial linear actuator, and the method comprises the steps: carrying out the static detection of a linear part in the actuator, so as to detect surface defects; and after the static detection is qualified, the linear part is dynamically detected to detect the deep defect, so that the accurate detection of the surface defect and the deep defect of the linear part is realized.

Description

Technical Field

[0001] The present invention belongs to the field of testing technology, and specifically relates to defect testing, and in particular to a detection method, system and equipment for intelligent manufacturing of industrial linear actuators. Background Art

[0002] The straight part of the actuator may have surface defects and deep defects. In the related art, a motion camera is used to continuously obtain images of the straight part driving the slider to determine whether there are deep defects in the straight part. However, dynamic cameras are expensive and will generate heat during continuous operation, which affects the shooting accuracy of the motion camera, shortens its service life, and affects the detection of the straight part.

[0003] Therefore, due to the technical problem that the dynamic camera is affected by temperature, which affects the detection accuracy and thus leads to inaccurate detection of straight line parts, it is necessary to design a detection method, system and equipment for intelligent manufacturing of industrial linear actuators.

[0004] It should be noted that the above information disclosed in this background technology section is only used to understand the background technology of the present application concept, and therefore, the above description is not considered to constitute information of the prior art. Summary of the invention

[0005] The embodiments of the present disclosure at least provide a detection method, system and device for intelligent manufacturing of industrial linear actuators.

[0006] In a first aspect, an embodiment of the present disclosure provides a detection method for intelligent manufacturing of an industrial linear actuator, comprising: Static inspection of the linear section of the actuator to detect surface defects; After the static test is passed, the straight line part is subjected to dynamic test to detect deep defects.

[0007] In an optional embodiment, the straight line portion of the actuator is statically tested, that is, Acquire a current image of a straight line portion of the actuator through a static camera, and compare the current image with a pre-stored standard image to determine whether there is a difference between the current image and the standard image; If the current image is the same as the standard image, the surface of the straight line portion is judged to be normal, the static detection of the straight line portion is qualified, the pitch of the straight line portion is obtained, and the straight line portion is dynamically detected; If the current image is different from the standard image, it is determined that there is a defect on the surface of the straight line portion. At this time, the defect position is marked on the straight line portion according to the position where the current image is different from the standard image.

[0008] In an optional embodiment, the straight line portion is subjected to dynamic detection after the static detection is qualified, that is, Use a motion camera to capture images of the standard straight line portion driving the slider to move under various working conditions to obtain the k1 corresponding to each working condition; Assemble the straight line part that has passed the static test with the standard motor and the slider. The standard motor drives the straight line part to rotate, so that the slider on the straight line part moves. Building a defect detection model: X1=k1×A×p×w×t+d+k2; X2=k1×A×p×w×t+k2; Among them, X1 is the left line position of the slider; X2 is the right line position of the slider; p is the pitch of the straight part; w is the standard motor rotation speed; t is time; A is the first constant; d is the length of the slider; k1 is the second constant; k2 is the compensation amount.

[0009] In an optional embodiment, when the straight portion drives the slider to move, a real-time image of the slider is captured by a static camera; Select the corresponding defect detection model according to the pitch of the straight part and the standard motor rotation speed; Obtain the standard left and right line positions X1 and X2 of the slider according to the defect detection model; Identify the real-time left line position X3 and right line position X4 of the slider in the real-time image; Compare the real-time left and right line positions X3 and X4 with the standard left and right line positions X1 and X2 to determine whether the real-time left and right line positions X3 and X4 coincide with the standard left and right line positions X1 and X2; If the real-time left line position X3 and right line position X4 always coincide with the standard left line position X1 and right line position X2, it is determined that the dynamic detection of the straight line part is qualified under the current working condition; If the real-time left and right line positions X3 and X4 do not overlap with the standard left and right line positions X1 and X2, the straight line portion is judged to be unqualified in the dynamic detection under the current working condition, and the position where the overlap begins is marked in the real-time image.

[0010] In an optional implementation, the straight portion is dynamically tested under various working conditions to determine the working condition to which the straight portion is adapted, and if the dynamic test is qualified under the corresponding working condition, it is determined that the straight portion is adapted to the working condition; The standard motor rotation speed corresponding to each working condition is different; After the detection is completed, a label is generated for the straight line part that adapts to the working conditions.

[0011] In an optional implementation, a highlight area is provided at the top edge of the slider to obtain the real-time left and right line positions.

[0012] In a second aspect, the present disclosure also provides an industrial linear actuator intelligent manufacturing detection system, including: a static inspection module configured to perform static inspection on a straight portion of the actuator to detect surface defects; The dynamic detection module is configured to perform dynamic detection on the straight line portion after the static detection is qualified, so as to detect deep defects.

[0013] In a third aspect, an embodiment of the present disclosure further provides a computer-readable storage medium having a computer program / instruction stored thereon, which, when executed by a processor, implements the steps of the above-mentioned detection method for intelligent manufacturing of industrial linear actuators.

[0014] In a fourth aspect, an embodiment of the present disclosure further provides a computer program product, including a computer program / instruction, which, when executed by a processor, implements the steps of the above-mentioned detection method for intelligent manufacturing of industrial linear actuators.

[0015] In a fifth aspect, the embodiments of the present disclosure further provide an industrial linear actuator intelligent manufacturing detection device, including: A bracket, a guide rail, a slider and a control module, and a static camera, a motion camera and a standard motor electrically connected to the control module; The standard motor is connected to the straight section of the actuator, and the straight section is parallel to the guide rail; The slider is arranged on the guide rail, and the slider is arranged on the straight portion; The static camera and the motion camera are arranged on the bracket, and the static camera and the motion camera are located above the guide rail; A highlight area is provided at the edge of the top surface of the slider; The control module is configured to use the above-mentioned detection method for intelligent manufacturing of industrial linear actuators to detect the straight line part.

[0016] The beneficial effect of the present invention is that the detection method for intelligent manufacturing of industrial linear actuators includes: static detection of the straight part of the actuator to detect surface defects; dynamic detection of the straight part after the static detection is qualified to detect deep defects, thereby realizing accurate detection of surface defects and deep defects of the straight part.

[0017] Other features and advantages of the present invention will be described in the following description, and partly become apparent from the description, or understood by practicing the present invention. The purpose and other advantages of the present invention are realized and obtained by the structures particularly pointed out in the description and the drawings.

[0018] In order to make the above-mentioned objects, features and advantages of the present invention more obvious and easy to understand, this article specifically cites preferred embodiments and provides detailed descriptions as follows in conjunction with the attached drawings. BRIEF DESCRIPTION OF THE DRAWINGS

[0019] In order to more clearly illustrate the specific implementation methods of the present invention or the technical solutions in the prior art, the drawings required for use in the specific implementation methods or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are some implementation methods of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0020] Figure 1 A flow chart of a detection method for intelligent manufacturing of industrial linear actuators provided in an embodiment of the present disclosure; Figure 2 A principle block diagram of a detection device for intelligent manufacturing of industrial linear actuators provided in an embodiment of the present disclosure; Figure 3 A schematic diagram of the structure of a detection device for intelligent manufacturing of industrial linear actuators provided in an embodiment of the present disclosure.

[0021] In the figure: 1 bracket, 2 guide rail, 3 slider, 4 static camera, 5 motion camera, 6 standard motor, 7 straight part, 8 highlight area. DETAILED DESCRIPTION

[0022] In order to make the purpose, technical solution and advantages of the embodiments of the present invention clearer, the technical solution of the present invention will be clearly and completely described below in conjunction with the accompanying drawings. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0023] As used herein, the phrases "in one embodiment," "according to one embodiment," "in some embodiments," and the like generally refer to the fact that the particular feature, structure, or characteristic following the phrase may be included in at least one embodiment of the present disclosure. Therefore, a particular feature, structure, or characteristic may be included in more than one embodiment of the present disclosure, so that these phrases do not necessarily refer to the same embodiment. As used herein, the terms "example," "exemplary," and the like are used to "serve as an example, instance, or illustration." Any implementation, aspect, or design described herein as "example" or "exemplary" is not necessarily to be construed as preferred or superior to other implementations, aspects, or designs. On the contrary, the use of the terms "example," "exemplary," and the like is intended to present concepts in a concrete manner.

[0024] Some embodiments of the present invention are described in detail below in conjunction with the accompanying drawings. In the absence of conflict, the following embodiments and features in the embodiments can be combined with each other.

[0025] like Figure 1 As shown, at least one disclosed embodiment provides an inspection method for intelligent manufacturing of industrial linear actuators, including: static inspection of the straight portion 7 in the actuator to detect surface defects; dynamic inspection of the straight portion 7 after the static inspection is qualified to detect deep defects, thereby achieving accurate detection of surface defects and deep defects of the straight portion 7.

[0026] Since the motion camera 5 will generate heat when working for a long time, the shooting accuracy will be affected, which will also affect the detection accuracy. In addition, long-term high-temperature operation will affect the service life of the motion camera 5. The replacement cost of the motion camera 5 is high, and working under high temperature conditions will increase the consumption of electricity.

[0027] Surface defects may be pitch problems, tooth shape problems, number of threads problems, etc., that is, the actual pitch is inconsistent with the designed pitch, the actual tooth shape is inconsistent with the designed tooth shape, and the actual number of threads is inconsistent with the designed number of threads.

[0028] Deep defects may be deformation, gaps, or problems in the teeth during movement, that is, deformation, gaps, etc. cause errors between the actual position of the slider 3 and the standard position.

[0029] In an optional embodiment, a static inspection is performed on the straight portion 7 in the actuator, that is, a current image of the straight portion 7 in the actuator is obtained by a static camera 4, and the current image is compared with a pre-stored standard image to determine whether there is a difference between the current image and the standard image; if the current image is the same as the standard image, the surface of the straight portion 7 is judged to be normal, the static inspection of the straight portion 7 is qualified, the pitch of the straight portion 7 is obtained, and the straight portion 7 is dynamically inspected; if the current image is different from the standard image, it is judged that there is a defect on the surface of the straight portion 7, and the defect position is marked on the straight portion 7 according to the different position between the current image and the standard image.

[0030] In this embodiment, the current image of the straight portion 7 in the actuator to be inspected is directly acquired through the static camera 4, and the standard images of the straight portion 7 of various materials and models are pre-stored in the control module. The current image is compared with the corresponding standard image to directly determine whether there are defects on the surface of the straight portion 7. If the current image is consistent with the standard image, it is determined that there are no defects on the surface of the straight portion 7 and the static inspection is qualified. The straight portion 7 will undergo subsequent dynamic inspection to detect deep defects.

[0031] In this embodiment, if the current image is inconsistent with the standard image, it is determined that there is a defect on the surface of the straight line portion 7, and the position where the current image is different from the standard image, that is, the position of the surface defect, is directly marked in the current image, and the straight line portion 7 does not need to undergo subsequent dynamic detection.

[0032] In an optional embodiment, after the static inspection is qualified, the straight part 7 is subjected to dynamic inspection, that is, the motion camera 5 is used to capture images of the standard straight part 7 driving the slider 3 to move under various working conditions to obtain the k1 corresponding to each working condition; the straight part 7 that has passed the static inspection is assembled with the standard motor 6 and the slider 3, and the standard motor 6 drives the straight part 7 to rotate, so that the slider 3 on the straight part 7 moves; and a defect detection model is constructed: X1=k1×A×p×w×t+d+k2; X2=k1×A×p×w×t+k2; Among them, X1 is the left line position of the slider 3; X2 is the right line position of the slider 3; p is the pitch of the straight part 7; w is the rotation speed of the standard motor 6; t is time; A is the first constant; d is the length of the slider 3; k1 is the second constant; k2 is the compensation amount.

[0033] Specifically, each operating condition refers to different rotation speeds, different humidity, and different temperatures.

[0034] Specifically, the unit of p is mm, the unit of w is r / s, the unit of time is s, the unit of A is / r, k1 is a numerical value, and the unit of k2 is mm.

[0035] Specifically, the value of A is related to the material of the straight portion 7, the shape of the pitch, and the like.

[0036] In this embodiment, standard straight portions 7 of various materials and models are pre-connected to the slider 3 and the standard motor 6. Under various working conditions, the standard straight portion 7 is driven by the standard motor 6 to rotate so as to move the slider 3. At this time, a real-time picture of the movement of the slider 3 is taken by the motion camera 5 to obtain k1 under various working conditions. The k1 is matched with the material, model and working condition of the straight portion 7 and stored. When the straight portion 7 to be inspected needs to be dynamically inspected, the corresponding k1 is directly retrieved, the corresponding working condition is set, and the corresponding defect detection model is constructed.

[0037] In this embodiment, k1 is a constant and is related to the rotation speed, humidity, and temperature of the standard motor 6 , and k2 is a compensation value and is related to the high torque start of the standard motor 6 .

[0038] Specifically, the standard motor 6 works at different rotation speeds, humidity and temperatures. At this time, the real-time pictures of the standard straight part 7 and the slider 3 are collected by the motion camera 5, and the acquired parameters are brought into the defect detection model for calculation, and then the relationship between the rotation speed, humidity, temperature and k1 and the torque and k2 is obtained, and then the corresponding relationship table is constructed.

[0039] In an optional embodiment, when the rotation speed is 10-15 r / s, the humidity is 45-50%, and the temperature is 25-30° C., k1 is 1.0.

[0040] Specifically, when the rotation speed, humidity, and temperature change, the value of k1 changes accordingly.

[0041] Specifically, through a large number of experiments, each parameter is associated with k1, and then a corresponding association table is constructed, and the value of k1 is subsequently obtained by looking up the table.

[0042] In an optional embodiment, when the rotation speed is set to 30-35 r / s, corresponding to high torque startup, k2 is 2 mm.

[0043] Specifically, when the starting torque changes, the value of k2 changes accordingly.

[0044] Specifically, through a large number of experiments, each parameter is associated with k2, and then a corresponding association table is constructed, and the value of k1 is subsequently obtained by looking up the table.

[0045] In this embodiment, different working conditions correspond to different standard motor 6 speeds.

[0046] In an optional embodiment, when the straight portion 7 drives the slider 3 to move, a real-time image of the slider 3 is captured by a static camera 4; a corresponding defect detection model is selected according to the pitch of the straight portion 7 and the rotation speed of the standard motor 6; a standard left line position and a standard right line position of the slider 3 are obtained according to the defect detection model; the real-time left line position and the right line position of the slider 3 are identified in the real-time image; the real-time left line position and the right line position are compared with the standard left line position and the right line position to determine whether the real-time left line position and the right line position coincide with the standard left line position and the right line position; If the real-time left and right line positions always coincide with the standard left and right line positions, it is determined that the dynamic detection of the straight line portion 7 is qualified under the current working condition; If the real-time left and right line positions do not overlap with the standard left and right line positions, the straight line portion 7 is judged to be unqualified in the dynamic detection under the current working condition, and the position where the overlap begins is marked in the real-time image.

[0047] In this embodiment, when the real-time left line position in the real-time image always completely coincides with the standard left line position, and the real-time right line position in the real-time image always completely coincides with the standard right line position, it is judged that the dynamic detection of the straight line portion 7 under the working condition is qualified, and the straight line portion 7 can be applied to the current working condition.

[0048] In this embodiment, the standard left and right line positions of the slider 3 obtained by the defect detection model have the same size ratio as the real-time left and right line positions obtained by identification in the real-time image.

[0049] In this embodiment, if the real-time left and right line positions do not overlap with the standard left and right line positions, the position where the misalignment begins will be marked in the real-time image, and a deep defect will appear in the straight line portion 7 at this position.

[0050] Specifically, the deep defect here can be any one of deformation, notch, and change in the smoothness of the tooth.

[0051] In this embodiment, the motion camera 5 does not need to keep working for a long time. In the actual process of inspecting the straight line portion 7, a static camera 4 is used to capture images. Combined with the defect detection model, the surface defects and deep defects of the straight line portion 7 can be accurately and efficiently detected.

[0052] In an optional embodiment, the straight portion 7 is dynamically detected under various working conditions to determine the working condition to which the straight portion 7 is adapted. If the dynamic detection is qualified under the corresponding working condition, it is determined that the straight portion 7 is adapted to the working condition. The standard motor 6 corresponding to each working condition has a different rotation speed. After the detection is completed, a label indicating that the straight portion 7 is adapted to the working condition is generated.

[0053] In this embodiment, the same straight portion 7 needs to be dynamically detected under various working conditions to determine the working conditions that the straight portion 7 is suitable for. For example, the dynamic detection of the straight portion 7 is qualified under the working condition that the standard motor 6 is at 2000 rpm, but the dynamic detection of the straight portion 7 is unqualified under the working condition that the standard motor 6 is at 3000 rpm, indicating that the straight portion 7 can be used at most under the working condition that the standard motor 6 is at 2000 rpm. Therefore, after the straight portion 7 is detected to have deep defects, the straight portion 7 will not be scrapped, but the working conditions that the straight portion 7 can adapt to will be determined to avoid waste of the straight portion 7.

[0054] Specifically, the deep defect here means that the straight portion 7 is deformed when a certain temperature is exceeded.

[0055] In this embodiment, after the straight line portion 7 is detected, a corresponding label will be generated, and the label will include the working condition to which it is adapted.

[0056] In an optional implementation, a highlight area 8 is provided at the top edge of the slider 3 to obtain the real-time left and right line positions.

[0057] In this embodiment, the color of the highlight area 8 may be green, and the left and right line positions of the slider 3 may be more accurately identified in the real-time image through the highlight area 8 .

[0058] At least one other disclosed embodiment also provides an inspection system for intelligent manufacturing of industrial linear actuators, including: a static inspection module, which is configured to perform static inspection on the straight line portion 7 in the actuator to detect surface defects; and a dynamic inspection module, which is configured to perform dynamic inspection on the straight line portion 7 after the static inspection is qualified to detect deep defects.

[0059] At least one other disclosed embodiment further provides a computer-readable storage medium having a computer program / instruction stored thereon, which, when executed by a processor, implements the steps of the above-mentioned detection method for intelligent manufacturing of industrial linear actuators.

[0060] At least one other disclosed embodiment further provides a computer program product, including a computer program / instruction, which, when executed by a processor, implements the steps of the above-mentioned detection method for intelligent manufacturing of industrial linear actuators.

[0061] like Figure 2 and Figure 3 As shown, at least one other disclosed embodiment also provides an industrial linear actuator intelligent manufacturing detection device, including: a bracket 1, a guide rail 2, a slider 3 and a control module, and a static camera 4, a motion camera 5 and a standard motor 6 electrically connected to the control module; the standard motor 6 is connected to the actuator straight portion 7, and the straight portion 7 is parallel to the guide rail 2; the slider 3 is arranged on the guide rail 2, and the slider 3 is arranged on the straight portion 7; the static camera 4 and the motion camera 5 are arranged on the bracket 1, and the static camera 4 and the motion camera 5 are located above the guide rail 2; a highlight area 8 is arranged at the edge of the top surface of the slider 3; the control module is configured to adopt the above-mentioned industrial linear actuator intelligent manufacturing detection method to detect the straight portion 7.

[0062] In this embodiment, the control module is configured to control the static camera 4 and the motion camera 5 to shoot.

[0063] In this embodiment, the slider 3 can move along the guide rail 2 .

[0064] In summary, the detection method for intelligent manufacturing of industrial linear actuators includes: static detection of the straight part 7 in the actuator to detect surface defects; dynamic detection of the straight part 7 after the static detection is qualified to detect deep defects, thereby realizing accurate detection of surface defects and deep defects of the straight part 7.

[0065] In the description of the embodiments of the present invention, unless otherwise clearly specified and limited, the terms "installed", "connected", and "connected" should be understood in a broad sense, for example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be a direct connection or an indirect connection through an intermediate medium, or it can be the internal communication of two components. For ordinary technicians in this field, the specific meanings of the above terms in the present invention can be understood according to specific circumstances.

[0066] In the description of the present invention, it should be noted that the orientation or positional relationship indicated by the terms "center", "upper", "lower", "left", "right", "vertical", "horizontal", "inside", "outside", etc. is based on the orientation or positional relationship shown in the drawings, which is only for the convenience of describing the present invention and simplifying the description, rather than indicating or implying that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore cannot be understood as a limitation of the present invention. In addition, terms such as "first", "second" and other numerical terms do not imply an order or sequence when used in this document unless explicitly indicated above. Therefore, without departing from the teachings of the example embodiments, the first element, component, region, layer or section discussed above may be referred to as a second element, component, region, layer or section.

[0067] Spatially relative terms, such as "inside", "outside", "below", "below", "down", "above", "on", etc., may be used herein to facilitate description of the relationship of one element or feature to another element or feature as illustrated in the figure. In addition to the orientation depicted in the figure, spatially relative terms may be intended to cover different orientations of the device in use or operation. For example, if the device in the figure is turned over, the elements described as "below" or "below" other elements or features will be oriented to be "above" other elements or features. Therefore, the example term "below" can cover the orientation above and below. The device can be oriented in other ways (rotated 90 degrees or in other orientations), and the spatially relative descriptors used herein are interpreted accordingly.

[0068] Based on the above ideal embodiments of the present invention, the relevant staff can make various changes and modifications without departing from the technical concept of the present invention through the above description. The technical scope of the present invention is not limited to the contents of the specification, and its technical scope must be determined according to the scope of the claims.

Claims

1. A detection method for intelligent manufacturing of industrial linear actuators, characterized in that: include: Static testing of the linear portion (7) of the actuator to detect surface defects; After the static test is passed, the straight portion (7) is subjected to dynamic test to detect deep defects.

2. The detection method for intelligent manufacturing of industrial linear actuators according to claim 1, characterized in that: The static detection of the straight line portion (7) in the actuator is performed, that is, Acquiring a current image of the straight line portion (7) in the actuator through a static camera (4), and comparing the current image with a pre-stored standard image to determine whether there is a difference between the current image and the standard image; If the current image is the same as the standard image, it is determined that the surface of the straight line portion (7) is normal, the straight line portion (7) passes the static detection, the pitch of the straight line portion (7) is obtained, and the straight line portion (7) is dynamically detected; If the current image is different from the standard image, it is determined that there is a defect on the surface of the straight line portion (7). At this time, the defect position is marked on the straight line portion (7) according to the position where the current image is different from the standard image.

3. The detection method for intelligent manufacturing of industrial linear actuators according to claim 2, characterized in that: After the static test is passed, the straight line portion (7) is subjected to dynamic test, that is, Using a motion camera (5) to shoot images of the standard straight line portion (7) driving the slider (3) to move under various working conditions, to obtain k1 corresponding to each working condition; Assembling the straight portion (7) that has passed the static test with the standard motor (6) and the slider (3), wherein the standard motor (6) drives the straight portion (7) to rotate, so that the slider (3) on the straight portion (7) moves; Building a defect detection model: X1=k1×A×p×w×t+d+k2; X2=k1×A×p×w×t+k2; Wherein, X1 is the left line position of the slider (3); X2 is the right line position of the slider (3); p is the pitch of the straight portion (7); w is the rotation speed of the standard motor (6); t is time; A is the first constant; d is the length of the slider (3); k1 is the second constant; k2 is the compensation value.

4. The detection method for intelligent manufacturing of industrial linear actuators according to claim 3, characterized in that: When the straight portion (7) drives the slider (3) to move, a real-time image of the slider (3) is captured by a static camera (4); Selecting a corresponding defect detection model according to the pitch of the straight portion (7) and the rotation speed of the standard motor (6); Obtain the standard left line position X1 and right line position X2 of the slider (3) according to the defect detection model; Identify the real-time left line position X3 and right line position X4 of the slider (3) in the real-time image; Compare the real-time left and right line positions X3 and X4 with the standard left and right line positions X1 and X2 to determine whether the real-time left and right line positions X3 and X4 coincide with the standard left and right line positions X1 and X2; If the real-time left line position X3 and right line position X4 always coincide with the standard left line position X1 and right line position X2, then it is determined that the straight line portion (7) is qualified in the dynamic detection under the current working condition; If the real-time left line position X3 and right line position X4 do not overlap with the standard left line position X1 and right line position X2, the straight line portion (7) is judged to be unqualified in the dynamic detection under the current working condition, and the position where the overlap begins is marked in the real-time image.

5. The detection method for intelligent manufacturing of industrial linear actuators according to claim 4, characterized in that: Dynamically testing the straight portion (7) under various working conditions to determine the working condition to which the straight portion (7) is adapted, and if the dynamic testing is qualified under the corresponding working condition, it is determined that the straight portion (7) is adapted to the working condition; The rotation speed of the standard motor (6) corresponding to each working condition is different; After the detection is completed, a label is generated for the straight line portion (7) that is adapted to the working conditions.

6. The detection method for intelligent manufacturing of industrial linear actuators according to claim 4, characterized in that: A highlight area (8) is provided at the top edge of the slider (3) to obtain the real-time left and right line positions.

7. An industrial linear actuator intelligent manufacturing detection system, characterized in that: include: A static inspection module, which is configured to perform static inspection on the straight portion (7) of the actuator to detect surface defects; A dynamic detection module is configured to perform dynamic detection on the straight portion (7) after the static detection is qualified, so as to detect deep defects.

8. A computer-readable storage medium having a computer program / instruction stored thereon, characterized in that: When the computer program / instruction is executed by a processor, the steps of the detection method for intelligent manufacturing of industrial linear actuators described in any one of claims 1 to 6 are implemented.

9. A computer program product comprising a computer program / instructions, characterized in that When the computer program / instruction is executed by a processor, the steps of the detection method for intelligent manufacturing of industrial linear actuators described in any one of claims 1 to 6 are implemented.

10. An industrial linear actuator intelligent manufacturing detection device, characterized in that: include: A bracket (1), a guide rail (2), a slider (3) and a control module, as well as a static camera (4), a motion camera (5) and a standard motor (6) electrically connected to the control module; The standard motor (6) is connected to a straight portion (7) of the actuator, and the straight portion (7) is parallel to the guide rail (2); The slider (3) is arranged on the guide rail (2), and the slider (3) is arranged on the straight portion (7); The static camera (4) and the motion camera (5) are arranged on the bracket (1), and the static camera (4) and the motion camera (5) are located above the guide rail (2); A highlight area (8) is provided at the edge of the top surface of the slider (3); The control module is configured to use the detection method for intelligent manufacturing of industrial linear actuators as described in any one of claims 1 to 6 to detect the straight line portion (7).

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