Inspection Methods, Systems and Equipment for Intelligent Manufacturing of Industrial Linear Actuators

Abstract

The present invention belongs to the field of testing technology, specifically relates to defect testing, and particularly relates to a detection method, system and device for intelligent manufacturing of industrial linear actuators, including: performing static detection on the linear part of the actuator to detect surface defects; performing dynamic detection on the linear part after the static detection is qualified to detect deep defects, thereby achieving precise detection of surface defects and deep defects of the linear part.

Description

Technical Field

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

[0002] There may be surface defects and deep defects in the linear part of the actuator. In the related art, a motion camera is used to continuously obtain images of the linear part driving the slider to move to determine whether there are deep defects in the linear part. However, the dynamic camera has a high cost and will generate heat during continuous operation, resulting in the shooting accuracy of the motion camera being affected, the service life being affected, and the detection of the linear part being affected.

[0003] Therefore, due to the technical problem that the detection accuracy is affected by the temperature of the dynamic camera, resulting in inaccurate detection of the linear part, it is necessary to design a detection method, system and device for intelligent manufacturing of industrial linear actuators.

[0004] It should be noted that the above information disclosed in this background art part is only used to understand the background art of the concept of this application. Therefore, it is not considered that the above description constitutes 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, the embodiments of the present disclosure provide a detection method for intelligent manufacturing of industrial linear actuators, including:

[0007] Performing static detection on the linear part in the actuator to detect surface defects;

[0008] After the static detection is qualified, performing dynamic detection on the linear part to detect deep defects.

[0009] In an optional implementation manner, the performing static detection on the linear part in the actuator means

[0010] Obtaining the current image of the linear part in the actuator through a static camera, 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;

[0011] If the current image is the same as the standard image, it is determined that the surface of the linear part is normal, the static detection of the linear part is qualified, the pitch of the linear part is obtained, and dynamic detection is performed on the linear part;

[0012] If the current image is different from the standard image, it is determined that there are defects on the surface of the linear part. At this time, according to the position where the current image is different from the standard image, the defect position is marked on the linear part.

[0013] In an alternative embodiment, after passing the static detection, dynamic detection is performed on the straight part, that is

[0014] The images of the standard straight part driving the slider to move under various working conditions are captured by a moving camera to obtain k1 corresponding to each working condition;

[0015] The straight part that has passed the static detection is assembled with a standard motor and a slider. The standard motor drives the straight part to rotate, causing the slider on the straight part to move;

[0016] Construct a defect detection model:

[0017] X1 = k1 × A × p × w × t + d + k2;

[0018] X2 = k1 × A × p × w × t + k2;

[0019] Wherein, X1 is the position of the left side line of the slider; X2 is the position of the right side line of the slider; p is the pitch of the straight part; w is the rotational speed of the standard motor; t is the time; A is the first constant; d is the length of the slider; k1 is the second constant; k2 is the compensation amount.

[0020] In an alternative embodiment, when the straight part drives the slider to move, real-time images of the slider are captured by a static camera;

[0021] Select the corresponding defect detection model according to the pitch of the straight part and the rotational speed of the standard motor;

[0022] Obtain the standard left side line position X1 and right side line position X2 of the slider according to the defect detection model;

[0023] Identify the real-time left side line position X3 and right side line position X4 of the slider in the real-time image;

[0024] Compare the real-time left side line position X3 and right side line position X4 with the standard left side line position X1 and right side line position X2 to determine whether the real-time left side line position X3 and right side line position X4 coincide with the standard left side line position X1 and right side line position X2;

[0025] If the real-time left side line position X3 and right side line position X4 always coincide with the standard left side line position X1 and right side line position X2, it is determined that the dynamic detection of the straight part under the current working condition is qualified;

[0026] If the real-time left side line position X3 and right side line position X4 are in a non-coincident state with the standard left side line position X1 and right side line position X2, it is determined that the dynamic detection of the straight part under the current working condition is unqualified, and mark the position where the non-coincidence starts in the real-time image.

[0027] In an alternative embodiment, dynamic detection is performed on the linear part under various working conditions to determine the working conditions suitable for the linear part. If the dynamic detection is qualified under the corresponding working conditions, it is determined that the linear part is suitable for the working conditions.

[0028] The standard motor rotation speeds corresponding to each working condition are different.

[0029] After the detection is completed, a label for the working conditions suitable for the linear part is generated.

[0030] In an alternative embodiment, a highlighted area is provided at the edge of the top surface of the slider to obtain the real-time positions of the left and right lines.

[0031] In a second aspect, an embodiment of the present disclosure further provides an industrial linear actuator intelligent manufacturing detection system, including:

[0032] A static detection module configured to perform static detection on the linear part in the actuator to detect surface defects;

[0033] A dynamic detection module configured to perform dynamic detection on the linear part after the static detection is qualified to detect deep defects.

[0034] In a third aspect, an embodiment of the present disclosure further provides a computer-readable storage medium, on which computer programs / instructions are stored. When the computer programs / instructions are executed by a processor, the steps of the above-mentioned industrial linear actuator intelligent manufacturing detection method are implemented.

[0035] In a fourth aspect, an embodiment of the present disclosure further provides a computer program product, including computer programs / instructions. When the computer programs / instructions are executed by a processor, the steps of the above-mentioned industrial linear actuator intelligent manufacturing detection method are implemented.

[0036] In a fifth aspect, an embodiment of the present disclosure further provides an industrial linear actuator intelligent manufacturing detection device, including:

[0037] A bracket, a guide rail, a slider, and a control module, as well as a static camera, a motion camera, and a standard motor electrically connected to the control module;

[0038] The standard motor is connected to the linear part of the actuator, and this linear part is parallel to the guide rail;

[0039] The slider is arranged on the guide rail, and the slider is arranged on the linear part;

[0040] 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;

[0041] A highlighted area is provided at the edge of the top surface of the slider;

[0042] The control module is configured to adopt the above-mentioned detection method for intelligent manufacturing of industrial linear actuators to detect the linear part.

[0043] The beneficial effect of the present invention is that the detection method for intelligent manufacturing of industrial linear actuators includes: statically detecting the linear part in the actuator to detect surface defects; dynamically detecting the linear part after passing the static detection to detect deep defects, thereby realizing accurate detection of surface defects and deep defects of the linear part.

[0044] Other features and advantages of the present invention will be described in the following specification, and in part, will be obvious from the specification, or will be understood by implementing the present invention. The objectives and other advantages of the present invention are achieved and obtained by the structures specifically pointed out in the specification and the drawings.

[0045] To make the above objectives, features, and advantages of the present invention more obvious and understandable, specific preferred embodiments are hereby given, and in conjunction with the accompanying drawings, the following detailed description is provided. Description of the Drawings

[0046] In order to more clearly illustrate the specific embodiments of the present invention or the technical solutions in the prior art, the following will briefly introduce the drawings required for use in the description of the specific embodiments or the prior art. Obviously, the drawings in the following description are some embodiments of the present invention. For those of ordinary skill in the art, without creative efforts, other drawings can also be obtained based on these drawings.

[0047] Figure 1 It is a flowchart of a detection method for intelligent manufacturing of industrial linear actuators provided by an embodiment of the present disclosure;

[0048] Figure 2 It is a schematic block diagram of a detection device for intelligent manufacturing of industrial linear actuators provided by an embodiment of the present disclosure;

[0049] Figure 3 It is a schematic structural diagram of a detection device for intelligent manufacturing of industrial linear actuators provided by an embodiment of the present disclosure.

[0050] In the figure:

[0051] 1 bracket, 2 guide rail, 3 slider, 4 static camera, 5 moving camera, 6 standard motor, 7 linear part, 8 highlighted area. Detailed Embodiments

[0052] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings. Apparently, the described embodiments are some, but not all, of the embodiments of the present invention. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative efforts shall fall within the scope of protection of the present invention.

[0053] As used herein, phrases such as "in one embodiment", "according to one embodiment", "in some embodiments", etc. generally refer to the fact that the specific features, structures, or characteristics after such phrases can be included in at least one embodiment of the present disclosure. Therefore, a specific feature, structure, or characteristic can be included in more than one embodiment of the present disclosure, such that these phrases do not necessarily refer to the same embodiment. As used herein, terms such as "example", "exemplary", etc. are used "for purposes of example, instance, or illustration. Any embodiment, aspect, or design described herein as "example" or "exemplary" is not necessarily to be construed as preferred or superior to other embodiments, aspects, or designs. Instead, the use of terms such as "example", "exemplary", etc. is intended to present concepts in a concrete manner.

[0054] The following will describe in detail some embodiments of the present invention with reference to the accompanying drawings. Without conflict, the following embodiments and the features in the embodiments can be combined with each other.

[0055] As Figure 1 shown, at least one disclosed embodiment provides a detection method for intelligent manufacturing of industrial linear actuators, including: performing static detection on the linear part 7 in the actuator to detect surface defects; and performing dynamic detection on the linear part 7 after the static detection is qualified to detect deep defects, thereby achieving precise detection of surface defects and deep defects of the linear part 7.

[0056] Since the motion camera 5 will generate heat during long-term operation, which will affect the shooting accuracy, thereby affecting the detection accuracy, and the long-term high-temperature operation will affect the service life of the motion camera 5. The replacement cost of the motion camera 5 is relatively high, and the high-temperature operation will also increase the power consumption.

[0057] The surface defects may be pitch problems, tooth profile problems, number of threads problems, etc., that is, the actual pitch is inconsistent with the designed pitch, the actual tooth profile is inconsistent with the designed tooth profile, and the actual number of threads is inconsistent with the designed number of threads.

[0058] The deep defects may be deformation, notch, or problems existing in the tooth during the moving process, etc., that is, deformation, notch, etc. cause an error between the actual position and the standard position of the slider 3.

[0059] In an alternative embodiment, a static detection is performed on the linear part 7 of the actuator. That is, a current image of the linear part 7 in the actuator is obtained through the 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, it is determined that the surface of the linear part 7 is normal, and the static detection of the linear part 7 is qualified. Then, the pitch of the linear part 7 is obtained, and a dynamic detection is performed on the linear part 7. If the current image is different from the standard image, it is determined that there are defects on the surface of the linear part 7. At this time, according to the position where the current image is different from the standard image, the defect position is marked on the linear part 7.

[0060] In this embodiment, the current image of the linear part 7 of the actuator to be detected is directly obtained through the static camera 4. Standard images of the linear part 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 linear part 7. If the current image is consistent with the standard image, it is determined that there are no defects on the surface of the linear part 7, and the static detection is qualified. The linear part 7 will undergo subsequent dynamic detection to detect deep defects.

[0061] In this embodiment, if the current image is inconsistent with the standard image, it is determined that there are defects on the surface of the linear part 7. 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. The linear part 7 does not need to undergo subsequent dynamic detection.

[0062] In an alternative embodiment, after the static detection is qualified, a dynamic detection is performed on the linear part 7. That is, the motion camera 5 is used to capture images of the standard linear part 7 driving the slider 3 moving under various working conditions to obtain k1 corresponding to each working condition. The linear part 7 that passes the static detection is assembled with the standard motor 6 and the slider 3. The standard motor 6 drives the linear part 7 to rotate, causing the slider 3 on the linear part 7 to move. A defect detection model is constructed:

[0063] X1 = k1×A×p×w×t + d + k2;

[0064] X2 = k1×A×p×w×t + k2;

[0065] Wherein, X1 is the position of the left side line of the slider 3; X2 is the position of the right side line of the slider 3; p is the pitch of the linear part 7; w is the rotation speed of the standard motor 6; t is the time; A is the first constant; d is the length of the slider 3; k1 is the second constant; k2 is the compensation amount.

[0066] Specifically, each working condition refers to different rotation speeds, different humidities, and different temperatures.

[0067] 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.

[0068] Specifically, the value of A is related to the material of the straight part 7, the shape of the pitch, etc.

[0069] In this embodiment, the standard straight part 7 of each material and model is pre-connected to the slider 3 and the standard motor 6. Under various working conditions, the standard motor 6 drives the standard straight part 7 to rotate to move the slider 3. At this time, a motion camera 5 is used to take real-time pictures of the movement of the slider 3 to obtain k1 under various working conditions. The k1 is corresponded to the material, model and working conditions of the straight part 7 and stored. When the straight part 7 to be detected needs dynamic detection, the corresponding k1 is directly retrieved, and the corresponding working conditions are set to construct a corresponding defect detection model.

[0070] 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 amount and is related to the high-torque start of the standard motor 6.

[0071] Specifically, the standard motor 6 works at different rotation speeds, humidity and temperature. At this time, a motion camera 5 is used to collect real-time pictures of the standard straight part 7 and the slider 3, and the obtained parameters are brought into the defect detection model for calculation, so as to obtain the relationship between the rotation speed, humidity, temperature and k1 and the relationship between the torque and k2, and then construct a corresponding relationship table.

[0072] In an alternative 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.

[0073] Specifically, when the rotation speed, humidity and temperature change, the value of k1 changes accordingly.

[0074] Specifically, through a large number of experiments, each parameter is associated with k1, and then a corresponding association table is constructed. Subsequently, the value of k1 is obtained by looking up the table.

[0075] In an alternative embodiment, when the set rotation speed is 30 - 35 r / s, that is, corresponding to high-torque start, k2 is taken as 2 mm.

[0076] Specifically, when the starting torque changes, the value of k2 changes accordingly.

[0077] Specifically, through a large number of experiments, each parameter is associated with k2, and then a corresponding association table is constructed. Subsequently, the value of k1 is obtained by looking up the table.

[0078] In this embodiment, different working conditions correspond to different rotation speeds of the standard motor 6.

[0079] In an alternative embodiment, when the linear part 7 drives the slider 3 to move, a real-time image of the slider 3 is captured by the static camera 4; a corresponding defect detection model is selected according to the pitch of the linear part 7 and the rotational speed of the standard motor 6; the standard left and right line positions of the slider 3 are obtained according to the defect detection model; the real-time left and right line positions of the slider 3 are identified in the real-time image; the real-time left and right line positions are compared with the standard left and right line positions to determine whether the real-time left and right line positions coincide with the standard left and right line positions.

[0080] 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 linear part 7 is qualified under the current working condition.

[0081] If the real-time left and right line positions do not coincide with the standard left and right line positions, it is determined that the dynamic detection of the linear part 7 is unqualified under the current working condition, and the position where the non-coincidence starts is marked in the real-time image.

[0082] 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 determined that the dynamic detection of the linear part 7 is qualified under this working condition, and the linear part 7 can be applied to the current working condition.

[0083] In this embodiment, the sizes and proportions of the standard left and right line positions of the slider 3 obtained by the defect detection model are the same as those of the real-time left and right line positions identified in the real-time image.

[0084] In this embodiment, when the real-time left and right line positions do not coincide with the standard left and right line positions, the position where the non-coincidence starts is marked in the real-time image, and the linear part 7 has a deep defect at this position.

[0085] Specifically, the deep defect here can be any one of deformation, notch, and change in the smoothness inside the tooth.

[0086] In this embodiment, it is not necessary for the moving camera 5 to work for a long time. During the actual detection of the linear part 7, the static camera 4 is used to capture images, and combined with the defect detection model, the surface defects and deep defects of the linear part 7 can be accurately detected precisely and efficiently.

[0087] In an alternative embodiment, the straight portion 7 is dynamically detected under various working conditions to determine the working conditions suitable for the straight portion 7. If the dynamic detection is qualified under the corresponding working conditions, it is determined that the straight portion 7 is suitable for the working conditions; the standard motor 6 rotates at different speeds corresponding to different working conditions; after the detection is completed, a label of the working conditions suitable for the straight portion 7 is generated.

[0088] In this embodiment, the same straight portion 7 needs to be dynamically detected under each working condition to determine the working conditions suitable for the straight portion 7. For example, if the dynamic detection of the straight portion 7 is qualified when the standard motor 6 is at a working condition of 2000 revolutions per minute, but the dynamic detection of the straight portion 7 is unqualified when the standard motor 6 is at a working condition of 3000 revolutions per minute, it indicates that the straight portion 7 can be applied at most when the standard motor 6 is at a working condition of 2000 revolutions per minute. This prevents the straight portion 7 from being scrapped even if deep defects are detected, but instead determines the working conditions that the straight portion 7 can adapt to, avoiding waste of the straight portion 7.

[0089] Specifically, the deep defect here refers to the deformation of the straight portion 7 when the temperature exceeds a certain value.

[0090] In this embodiment, after the detection of the straight portion 7 is completed, a corresponding label will be generated, and the label will include the working conditions it adapts to.

[0091] In an alternative embodiment, a high - light area 8 is provided at the edge of the top surface of the slider 3 to obtain the real - time left - hand line position and right - hand line position.

[0092] In this embodiment, the color of the high - light area 8 can be green. Through the high - light area 8, the left - hand line position and right - hand line position of the slider 3 can be more accurately identified in the real - time image.

[0093] At least one other disclosed embodiment also provides an industrial linear actuator intelligent manufacturing detection system, including: a static detection module configured to perform static detection on the straight portion 7 in the actuator to detect surface defects; a dynamic detection module configured to perform dynamic detection on the straight portion 7 after the static detection is qualified to detect deep defects.

[0094] At least one other disclosed embodiment also provides a computer - readable storage medium, on which computer programs / instructions are stored. When the computer programs / instructions are executed by a processor, the steps of the above - mentioned industrial linear actuator intelligent manufacturing detection method are implemented.

[0095] At least one other disclosed embodiment also provides a computer program product, including computer programs / instructions. When the computer programs / instructions are executed by a processor, the steps of the above - mentioned industrial linear actuator intelligent manufacturing detection method are implemented.

[0096] Such asFigure 2 and Figure 3 As shown in Figure 3 , at least one other publicly disclosed embodiment also provides a detection device for intelligent manufacturing of industrial linear actuators, including: 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 that are electrically connected to the control module; the standard motor 6 is connected to the linear part 7 of the actuator, and this linear part 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 linear part 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 high-brightness 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 detection method for intelligent manufacturing of industrial linear actuators to detect the linear part 7.

[0097] In this embodiment, the control module is configured to control the static camera 4 and the motion camera 5 to take pictures.

[0098] In this embodiment, the slider 3 can move along the guide rail 2.

[0099] In summary, the detection method for intelligent manufacturing of this industrial linear actuator includes: performing static detection on the linear part 7 in the actuator to detect surface defects; performing dynamic detection on the linear part 7 after the static detection is qualified to detect deep defects, thereby achieving precise detection of surface defects and deep defects of the linear part 7.

[0100] In the description of the embodiments of the present invention, unless otherwise clearly specified and limited, the terms "installation", "connection", and "connection" 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 directly connected or indirectly connected through an intermediate medium, and it can be the communication inside two elements. For those of ordinary skill in the art, the specific meanings of the above terms in the present invention can be understood according to specific situations.

[0101] 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", "inner", "outer", etc. is based on the orientation or positional relationship shown in the drawings. It 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 used in this article do not imply order or sequence unless clearly indicated in the text. Therefore, without departing from the teachings of the exemplary embodiments, the first element, component, region, layer, or section discussed above can be referred to as the second element, component, region, layer, or section.

[0102] Spatially relative terms, such as "inner", "outer", "beneath", "below", "lower", "above", "upper", etc., may be used herein for ease of description to describe the relationship of one element or feature to another element or feature as illustrated in the figures. In addition to the orientation depicted in the figures, spatially relative terms are intended to encompass different orientations of the device in use or operation. For example, if the device in the figures is flipped over, an element described as "beneath" or "below" another element or feature will then be oriented "above" the other element or feature. Thus, the exemplary term "below" can encompass both an above and below orientation. The device may be otherwise oriented (rotated 90 degrees or at other orientations), and the spatially relative descriptors used herein are to be interpreted accordingly.

[0103] In light of the above-described ideal embodiments of the present invention, through the above description, relevant workers can, without departing from the technical idea of the present invention, make various changes and modifications. The technical scope of the present invention is not limited to the content in 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 line portion (7) is subjected to dynamic testing to detect deep defects; 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 amount; 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.

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 1, 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.

4. The detection method for intelligent manufacturing of industrial linear actuators according to claim 1, 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.

5. A detection system for intelligent manufacturing of industrial linear actuators, characterized in that: include: A static detection module, configured to perform static detection on the straight line portion (7) of the actuator using the detection method for intelligent manufacturing of industrial linear actuators as claimed in any one of claims 1 to 4, so as to detect surface defects; A dynamic detection module is configured to use the detection method for intelligent manufacturing of industrial linear actuators as described in any one of claims 1 to 4 to perform dynamic detection on the straight line part (7) after the static detection is qualified, so as to detect deep defects.

6. 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 4 are implemented.

7. 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 4 are implemented.

8. 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 4 to detect the straight line portion (7).

Images