An appearance defect detection device for LNG hose filling boom production

Abstract

The application discloses a kind of appearance defect detection devices for LNG hose filling boom production, it is related to defect detection technical field, including detection box;The application is convenient to move to carry out scanning detection to workpiece by the cooperation of first motor, first screw rod and laser scanner;According to the two-way logic of "precision constraint calculation upper limit, efficiency constraint calculation lower limit", the optimal value of the rotational angular velocity of the detection piece is determined by analysis module;Avoiding the actual size of single pixel being too large due to excessive angular velocity, ensuring that micro cracks and depressions can be clearly captured;The diameter of the detection piece, minimum defect size and other parameters are included in the formula, and the upper limit of the angular velocity can be dynamically adjusted according to the actual specifications of the LNG boom, which is suitable for detection pieces of different specifications;The total detection time is determined by analyzing historical data, and the lower limit of the angular velocity is derived by combining the machine start-up influence time, ensuring that the rotation scanning time does not exceed the total cycle allowed by production, meeting the production rhythm requirements and improving detection efficiency.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of LNG hose filling boom appearance detection tools, and particularly relates to an appearance defect detection device for LNG hose filling boom production. BACKGROUND

[0002] In the production process of the LNG hose filling boom, it is crucial to ensure the appearance quality of the product. The appearance defects not only affect the appearance of the product, but also may potentially threaten the performance and safety of the product. However, the existing detection devices have many inconveniences in detection efficiency and positioning adjustment, which seriously restricts the improvement of production quality and efficiency.

[0003] The existing detection devices have deficiencies in positioning adjustment. Since the lengths of the LNG hose filling booms are different, the positioning device needs to be flexibly adjusted according to the length during detection to realize stable clamping of both ends of the boom. However, many devices cannot conveniently adjust the positioning, or the adjustment range is limited, which is difficult to adapt to the detection of booms of different specifications. In addition, the detection device cannot effectively drive the detection piece to rotate in all directions during the detection process, so that the detection area is limited, the machining piece cannot be fully detected, and some defects hidden in the complex structure or the back are difficult to be found, which reduces the detection efficiency.

[0004] Therefore, the above problems need to be improved. SUMMARY

[0005] The present application relates to the technical field of LNG hose filling boom appearance detection tools, and particularly relates to an appearance defect detection device for LNG hose filling boom production.

[0006] In order to achieve the above-mentioned purpose, the present application adopts the following technical scheme: an appearance defect detection device for LNG hose filling boom production, comprising a detection box, two box covers are slidably installed on the top of the detection box, a detection mechanism and a positioning mechanism are installed inside the detection box, and a detection piece is arranged inside each of the two box covers.

[0007] The detection box is provided with an intelligent control assembly, which comprises a collection module, an analysis module and an execution module.

[0008] The collection module acquires the parameters of the detection piece, acquires the parameters of the detection operation, acquires the scanning image data, and transmits the acquired data to the analysis module.

[0009] The analysis module receives the data transmitted by the acquisition module and pre-processes the data, analyzes the upper limit of the fluctuation of the rotational angular velocity of the detection piece according to the parameter data of the detection piece and the parameter data of the detection operation, analyzes the lower limit of the fluctuation of the rotational angular velocity of the detection piece according to the historical data, obtains the optimal rotational angular velocity according to the upper and lower limits of the fluctuation range, generates an adjustment signal when the rotational angular velocity of the detection piece is not within the fluctuation range of the rotational angular velocity, and transmits the adjustment signal to the execution module, obtains the deviation coefficient according to the scanning image data, and corrects the optimal rotational angular velocity according to the deviation coefficient.

[0010] The execution module receives the signal transmitted by the analysis module and performs the corresponding operation.

[0011] Preferably, the analysis module performs the optimal angular velocity analysis step as follows:

[0012] S1: The circumferential length of the detection piece (15) , is the diameter of the detection piece (15); in the case of the actual size of the pixel , the total number of pixels collected by the scanner during the rotation scanning process needs to meet: , is the minimum recognizable defect size; the detection piece (15) rotates for the required time , is the rotational angular velocity of the detection piece (15); the total number of pixels collected by the scanner within the time , is the line scanning speed of the laser scanner, is the number of pixel points covered by the single line scanning of the scanner on the surface of the detection piece (15); combined with the formula , we get: , that is ;

[0013] S2: Detection of total time data , is the rotation scanning time, is the influence time of the machine start; the rotation scanning time needs to meet: , and the derivation is , that is ; the middle value of the fluctuation range is taken as the optimal angular velocity ; when the rotational angular velocity of the detection piece (15) is not within the fluctuation range of the rotational angular velocity, an adjustment signal is generated and transmitted to the execution module.

[0014] Preferably, the analysis module performs the deviation coefficient analysis step as follows:

[0015] Q1: acquiring image data obtained by scanning, performing gray processing on the acquired image, and segmenting the image according to the size of the pixel block, numbering the segmented image block according to the row and column number on the gray image, acquiring the corresponding numbered image block, and comparing the gray value of the image block with the gray value of the corresponding numbered standard image block, if the gray value of the corresponding numbered image block is not within the fluctuation range of the gray value of the corresponding numbered standard image block, it is determined that the corresponding numbered image block is an abnormal image block, and the number of abnormal image blocks is counted, and the proportion of non-abnormal image blocks is calculated. is the total number of image blocks in the segmented gray image;

[0016] Q2: if , it is determined that the current angular velocity deviates from the optimal value, a correction signal is generated, and the correction signal is transmitted to the execution module; the deviation coefficient is calculated, and the corrected angular velocity is calculated according to the deviation coefficient .

[0017] Preferably, the detection mechanism comprises a first installation groove opened in the inside of the detection box and a first motor installed in the first installation groove, two first lead screws are rotatably installed in the first installation groove, a transmission wheel is sleeved on one end of each of the two first lead screws, a transmission belt is sleeved on the outer sides of the two transmission wheels, and the output end of the first motor is connected to one end of one of the first lead screws through a shaft coupling.

[0018] Preferably, a mounting ring is threadedly connected to the first lead screw, a plurality of laser scanners are installed on the inner side of the mounting ring, and two first sliding grooves are opened on the top surface of the detection box to cooperate with the movement of the mounting ring.

[0019] Preferably, the positioning mechanism comprises a second motor installed on one side of the detection box and two positioning discs located on both sides of the top surface of the detection box, a positioning rod is rotatably installed on the outer side of each of the two positioning discs, a second lead screw is connected to the output end of the second motor through a shaft coupling, one side of the positioning rod is threadedly connected to the lower end of the second lead screw, and the other side of the positioning rod is installed on one side of the top surface of the detection box.

[0020] Preferably, a third motor is installed on the upper part of one side of the positioning rod, the output end of the third motor is connected to the center of the positioning disc, and a moving groove is opened on the top surface of the detection box to cooperate with the movement of the positioning disc.

[0021] ​​Preferably, a second installation groove is arranged in the positioning disc, a fourth motor is installed in the second installation groove, a third screw rod is connected to the output end of the fourth motor through a shaft coupling, a connecting rod is threadedly connected to the third screw rod, and a three-jaw chuck is installed at the other end of the connecting rod.

[0022] Preferably, the two ends of the detection piece are clamped on the two three-jaw chucks respectively.

[0023] Compared with the prior art, the present application has the following beneficial effects:

[0024] Through the cooperation of the second motor and the second screw rod, the distance between the two positioning discs can be adjusted according to the length of the detection piece, the adaptability of the device to different lengths of the boom is improved, and the function of stably clamping the two ends of the boom can be realized; through the cooperation of the fourth motor and the three screw rods, the detection piece can be driven to rotate, the detection area of the device is improved, and the function of omnidirectional detection of the workpiece can be realized; through the cooperation of the first motor, the first screw rod and the laser scanner, the workpiece can be scanned and detected by moving, the comprehensiveness and efficiency of appearance defect detection are improved, and the function of accurately identifying the surface cracks, depressions and other defects of the boom can be realized; and finally, the problems of low detection efficiency and inconvenient positioning adjustment of the existing detection device are solved.

[0025] Through the analysis module, the optimal value of the angular velocity of the detection piece is determined according to the bidirectional logic of "precision constraint upper limit and efficiency constraint lower limit"; the problem of "excessive angular velocity leading to defect omission" in traditional detection is completely solved, the actual size of a single pixel is prevented from being too large due to excessive angular velocity, and small cracks and depressions can be clearly captured; the diameter of the detection piece, the minimum defect size and other parameters are included in the formula, the upper limit of the angular velocity can be dynamically adjusted according to the actual specifications of the LNG boom, and different specifications of the detection piece can be adapted; the total detection time is determined through historical data analysis, the lower limit of the angular velocity is derived in combination with the machine start-up influence time, the rotation scanning time is ensured not to exceed the total cycle allowed by production, the production rhythm requirement is met, and the detection efficiency is improved;

[0026] Through the analysis module, the scanning image is divided into pixel blocks, the actual image block gray value is compared with the standard piece image block gray value fluctuation range, and the proportion of non-abnormal image blocks is counted; when the proportion is less than 90%, it is immediately determined that the current angular velocity deviates from the optimal value, and the problem of batch omission of subsequent detection pieces caused by continuous deviation is avoided. BRIEF DESCRIPTION OF DRAWINGS

[0027] The drawings described herein are used to provide further understanding of the present application, and constitute a part of the present application. The illustrative embodiments of the present application and their descriptions are used to explain the present application, and do not constitute an improper limitation on the present application. In the drawings:

[0028] Figure 1 The overall appearance schematic diagram of the device provided by the present application;

[0029] Figure 2 The internal structure top view of the device provided by the present application;

[0030] Figure 3 The internal structure schematic diagram of the device provided by the present application;

[0031] Figure 4 The positioning disc structure schematic diagram provided by the present application;

[0032] Figure 5 The internal structure schematic diagram of the positioning disc provided by the present application;

[0033] Figure 6 The system flow chart provided by the present application.

[0034] The figure serial number: 1, detection box; 2, box cover; 3, first motor; 4, first screw rod; 5, transmission belt; 6, mounting ring; 7, laser scanner; 8, second motor; 9, positioning disc; 10, second screw rod; 11, third motor; 12, three-jaw chuck; 13, fourth motor; 14, third screw rod; 15, detection piece. DETAILED DESCRIPTION

[0035] The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application. Obviously, the described embodiments are only a part of the embodiments of the present application, not all the embodiments.

[0036] Example 1: see Figures 1 to 5The appearance defect detection device for LNG hose filling boom production in the application comprises a detection box 1, which is convenient for installing detection mechanisms and positioning mechanisms through the detection box 1; box covers 2 are slidably installed at the top of the detection box 1, detection mechanisms and positioning mechanisms are installed in the detection box 1, detection pieces 15 are arranged in the two box covers 2, the detection mechanisms comprise first installation grooves arranged in the detection box 1 and first motors 3 installed in the first installation grooves, the first motors 3 are convenient for driving the first lead screws 4 to rotate; two first lead screws 4 are rotatably installed in the first installation grooves, the first lead screws 4 are convenient for driving the installation rings 6 to move; transmission wheels are sleeved with the two first lead screws 4, transmission belts 5 are sleeved with the two transmission wheels, the transmission wheels and the transmission belts 5 are convenient for simultaneously driving the two first lead screws 4 to rotate in the same direction; the output ends of the first motors 3 are connected with one end of one of the first lead screws 4 through a shaft coupling, the installation rings 6 are threadedly connected with the first lead screws 4, the installation rings 6 are convenient for installing laser scanners 7; a plurality of laser scanners 7 are installed on the inner side of the installation rings 6, the laser scanners 7 are convenient for scanning workpieces and imaging to detect whether there are defects; first sliding grooves are arranged on the top surface of the detection box 1 and matched with the movement of the installation rings 6, the positioning mechanisms comprise a second motor 8 installed on one side of the detection box 1 and two positioning discs 9 arranged on the top surface of the detection box 1, the positioning discs 9 are convenient for installing three-jaw chucks 12; positioning rods are rotatably installed on the outer sides of the two positioning discs 9, a second lead screw 10 is connected with the output end of the second motor 8 through a shaft coupling, the second lead screw 10 is convenient for driving the positioning disc 9 on one side to move to adapt to the length of the detection piece 15.

[0037] In the application, one end of one positioning rod is threadedly connected with the second lead screw 10, the other positioning rod is installed on one side of the top surface of the detection box 1, a third motor 11 is installed on the upper part of the one positioning rod, the third motor 11 is convenient for driving the detection piece 15 to rotate to expand the detection area; the output end of the third motor 11 is connected with the center of the positioning disc 9, a moving groove is arranged on the top surface of the detection box 1 and matched with the movement of the positioning disc 9, a second installation groove is arranged in the positioning disc 9, a fourth motor 13 is installed in the second installation groove, the fourth motor 13 is convenient for driving a third lead screw 14 to rotate; the output end of the fourth motor 13 is connected with the third lead screw 14 through a shaft coupling, the third lead screw 14 is convenient for driving the three-jaw chuck 12 to move through the connecting rod; the connecting rod is threadedly connected with the third lead screw 14, the other end of the connecting rod is installed with the three-jaw chuck 12, the three-jaw chuck 12 is convenient for fixing one end of the detection piece 15; a second sliding groove is arranged on the inner side of the positioning disc 9 and matched with the movement of the three-jaw chuck 12, the two ends of the detection piece 15 are respectively clamped in the two three-jaw chucks 12.

[0038] In the application, the model of the laser scanner 7 is AlphaScan handheld three-dimensional scanner.

[0039] Working principle: when the present application is used, first, the device is powered on, all electrical appliances are turned on, the detection piece 15 is aligned with the three-jaw chuck 12 on one side through the mechanical arm, the three-jaw chuck 12 is started to clamp one end of the detection piece 15, at this time the second motor 8 is started, the second motor 8 drives the second lead screw 10 to rotate, and then drives the positioning disc 9 on one side to move inward, when it moves to the appropriate position, the third motor 11 drives the positioning disc 9 to rotate, so that the clamping area of the three-jaw chuck 12 is aligned with the other end of the detection piece 15 and clamps the detection piece 15, in the clamping process, the fourth motor 13 drives the third lead screw 14 to move in coordination with the three-jaw chuck 12, and then adjusts the position of the three-jaw chuck 12 according to the length of the bending part of the detection piece 15, at this time the positioning of the detection piece 15 is completed; then the first motor 3 is started, and through the cooperation of the transmission wheel and the transmission belt 5, the two first lead screws 4 are driven to rotate in the same direction, and then the two mounting rings 6 and the plurality of laser scanners 7 located on the inner side of the mounting rings 6 are synchronously moved, so as to detect the surface of the detection piece 15 for defects, after the first detection is completed, the third motor 11 drives the positioning disc 9 to rotate, and then drives the detection piece 15 to rotate, so as to perform secondary scanning on the position which is not scanned in the first scanning, and improve the accuracy of the detection result; after the scanning is completed, the detection piece 15 is taken out, the box cover 2 is pulled open to the two sides, whether the detection device has a fault or the surface of the detection device is cleaned is checked, and finally the box cover 2 is reset and the power is turned off.

[0040] Embodiment 2: see Figure 6 , the detection box 1 is internally provided with a smart control assembly, the smart control assembly comprises a collection module, an analysis module and an execution module;

[0041] The collection module acquires the parameters of the detection piece 15, acquires the parameters of the detection operation, acquires the scanning image data, and transmits the acquired data to the analysis module;

[0042] The analysis module receives the data transmitted by the collection module and performs preprocessing, analyzes the upper limit of the fluctuation of the rotational angular velocity of the detection piece 15 according to the parameter data of the detection piece 15 and the parameter data of the detection operation, analyzes the lower limit of the fluctuation of the rotational angular velocity of the detection piece 15 according to the historical data, obtains the optimal rotational angular velocity according to the upper and lower limits of the fluctuation range, generates an adjustment signal when the rotational angular velocity of the detection piece 15 is not within the rotational angular velocity fluctuation range, and transmits the adjustment signal to the execution module; the deviation coefficient is obtained according to the scanning image data, and the optimal rotational angular velocity is corrected according to the deviation coefficient;

[0043] The collected data is sorted according to the collection time, the corresponding items of data collected at the same time are calculated for the mean and standard deviation , and the mean and standard deviation Collect data fluctuation range for corresponding items The system is configured to compare the collected data for a given item with its fluctuation range, mark data outside the fluctuation range as outliers, and record the number of outliers. ,like If the collected data is abnormal, the data will be re-tested; if If outliers are removed, the mean of the remaining corresponding test data after outlier removal is calculated. The calculation, and the mean obtained from the calculation. As the corresponding data detected at the corresponding time;

[0044] Re-examine the corresponding data; if the comparison result is still negative... If the problem is detected, it is determined that the acquisition device is malfunctioning, an equipment warning signal is generated, and the equipment warning signal is transmitted to the execution module.

[0045] After receiving the device warning signal, the execution module controls the buzzer module of the intelligent control component to emit a buzzer warning and displays "Data Acquisition Device Abnormal" on the control box display screen of the detection device, so that staff can perform timely maintenance operations on the equipment.

[0046] The identification size is defined as the "minimum identifiable defect size". The defect must occupy at least 2 pixels in the scanned image (if it is only 1 pixel, it is easily judged as noise), that is, the actual pixel size. ; Circumferential length of inspection piece 15 , For the diameter of the inspection piece 15; the total number of pixels acquired by the scanner during the rotation scanning process. Must meet: ;

[0047] The laser scanner model is the AlphaScan handheld 3D scanner, and its hardware resolution determines... The theoretical lower limit: AlphaScan's scanning accuracy is 0.05mm (minimum resolution size in a single scan), therefore The accuracy must not be lower than 0.05mm (if set to 0.03mm, it exceeds the device's resolution capability, leading to numerous false positives or false negatives); the actual value should have a 10%-20% redundancy (e.g., if the device accuracy is 0.05mm, Set to 0.06mm to avoid accuracy degradation caused by equipment vibration and changes in ambient temperature (20-25℃ is optimal, as temperature fluctuations will affect the laser wavelength);

[0048] Item 15 rotates Time required , The rotation angular velocity of the detection piece 15 is detected. The total number of pixels collected by the scanner within a time , The line scanning speed of the laser scanner, The number of pixel points covered by a single line scanning of the scanner on the surface of the detection piece 15; combined with the formula It is obtained: That is, ;

[0049] The historical data detected by a single detection piece 15 is obtained, the detection data with abnormalities in the detection process in the historical data is removed, the remaining detection total time data is preprocessed, and the fluctuation range of the detection total time data is obtained, and the mean value of the upper and lower limits of the detection total time data fluctuation range is taken as the detection total time data of a single detection piece 15 ; the detection total time data , The rotation scanning time, The influence time of the machine starting; the rotation scanning time Must satisfy: , and it is derived that That is, ;

[0050] Thus, the rotation angular velocity fluctuation range of the detection piece 15 is obtained , and the middle value of the fluctuation range is taken as the optimal angular velocity ; when the rotation angular velocity of the detection piece 15 is not within the rotation angular velocity fluctuation range, an adjustment signal is generated and transmitted to the execution module;

[0051] After receiving the adjustment signal, the execution module transmits a signal to the controller of the third motor 11 to control the output frequency of the third motor 11; during the adjustment process, the scanning operation is suspended, and after the rotation speed is within the rotation angular velocity fluctuation range, the scanning operation is continued, and the rotation speed of the detection piece 15 is adjusted to and stopped.

[0052] The image data obtained by scanning is obtained, the obtained image is subjected to gray scale processing, and the size of the pixel block is segmented according to the size of the pixel block, and the segmented image block is numbered according to the number of rows and columns on the gray scale image; the corresponding numbered image block is obtained, and the gray scale value of the image block is compared with the gray scale value of the corresponding numbered standard piece image block, if the gray scale value of the corresponding numbered image block is not within the gray scale value fluctuation range of the corresponding numbered standard piece image block, the corresponding numbered image block is determined as an abnormal image block, the number of abnormal image blocks is counted, and the proportion of non-abnormal image blocks , The total number of image blocks in the segmented gray scale image;

[0053] like Then determine the current angular velocity. If the value deviates from the optimal value, a correction signal is generated and transmitted to the execution module; the deviation coefficient is calculated. And according to the deviation coefficient Calculate the corrected angular velocity ;

[0054] "0.2" is achieved through analysis of over 1000 sets of "deviation coefficients". Historical data on "Adjustment Range - Accuracy Recovery Effect" were used to select the coefficient with the "highest adjustment efficiency and best stability"; for the LNG crane boom detection scenario, the initial coefficient range was set to 0.1-0.3 (too small an adjustment range will result in slow accuracy recovery, while too large an adjustment range will easily lead to overshoot): Coefficient = 0.1: The adjustment range was only 20%. ×0.8, requires 2-3 iterations to achieve Restoring to over 90% is inefficient; coefficient = 0.3. The adjustment range reached 60%. A coefficient of ×0.4 can easily lead to excessively low angular velocity, causing the detection time to exceed the production cycle time (e.g., increasing from 60s to 150s); coefficient = 0.2: The adjustment range is 40%. ×0.6, one adjustment is sufficient. Recovery to over 90%, while the testing time remains within the allowable production range (e.g., increasing from 60s to 90s).

[0055] After receiving the correction signal, the execution module obtains the corrected angular velocity obtained from the analysis module. And based on the corrected angular velocity Adjust the rotational angular velocity.

[0056] The above description is only a preferred embodiment of the present invention, but the scope of protection of the present invention is not limited thereto. Any equivalent substitutions or modifications made by those skilled in the art within the scope of the technology disclosed in the present invention, based on the technical solution and inventive concept of the present invention, should be covered within the scope of protection of the present invention.

Claims

1. A device for detecting cosmetic defects in the production of LNG hose filling arms, comprising a detection box (1), characterized in that: The detection box (1) top two sides of the sliding installation has box cover (2), the detection box (1) inside installation has detection mechanism and positioning mechanism, and two the box cover (2) inside is equipped with detection piece (15);The detection mechanism includes the first installation groove being opened in the detection box (1) inside and the first motor (3) being installed in the first installation groove inside, the first installation groove is rotatably installed with two first lead screws (4), two the first lead screw (4) one end is all sleeved with transmission wheel, two the transmission wheel outside is sleeved with transmission belt (5), and the first motor (3) output end is connected with one of the first lead screw (4) one end through the shaft coupling; The first lead screw (4) is threadedly connected with a mounting ring (6), a plurality of laser scanners (7) are mounted on the inner side of the mounting ring (6), and two first sliding grooves are formed in the top surface of the detection box (1) to cooperate with the movement of the mounting ring (6). The positioning mechanism includes a second motor (8) installed on one side of the detection box (1) and two positioning discs (9) located on both sides of the top surface of the detection box (1), a positioning rod is rotatably installed on the outer side of each positioning disc (9), the output end of the second motor (8) is connected with a second lead screw (10) through a shaft coupling, the lower end of one side of the positioning rod is threadedly connected with the second lead screw (10), and the other side of the positioning rod is installed on one side of the top surface of the detection box (1). A third motor (11) is installed on the upper part of one side of the positioning rod, the output end of the third motor (11) is connected with the center of the positioning disc (9), and a moving groove is formed in the top surface of the detection box (1) to cooperate with the movement of the positioning disc (9). A second installation groove is formed in the positioning disc (9), a fourth motor (13) is installed in the second installation groove, the output end of the fourth motor (13) is connected with a third lead screw (14) through a shaft coupling, a connecting rod is threadedly connected with the third lead screw (14), a three-jaw chuck (12) is installed at the other end of the connecting rod, and a second sliding groove is formed in the inner side of the positioning disc (9) to cooperate with the movement of the three-jaw chuck (12). The detection box (1) is provided with a smart control assembly, which includes an analysis module. The analysis module receives the data transmitted by the acquisition module and performs preprocessing, analyzes the upper limit of the fluctuation of the rotational angular velocity of the detection piece (15) according to the parameter data of the detection piece (15) and the parameter data of the detection operation, analyzes the lower limit of the fluctuation of the rotational angular velocity of the detection piece (15) according to the historical data, obtains the optimal rotational angular velocity according to the upper and lower limits of the fluctuation range, generates an adjustment signal when the rotational angular velocity of the detection piece (15) is not within the fluctuation range of the rotational angular velocity, and transmits the adjustment signal to the execution module, obtains the deviation coefficient according to the scanning image data, and corrects the optimal rotational angular velocity according to the deviation coefficient. The analysis steps of the analysis module for the optimal angular velocity are as follows:

2. The appearance defect detection device for LNG hose loading boom production according to claim 1, characterized in that: The analysis steps of the analysis module for the deviation coefficient are as follows: S1 : circumference length of the detection member (15) , is the diameter of the detection member (15); In the case of actual pixel size , the total number of pixels collected by the scanner during the rotation scanning process must satisfy: , is the minimum identifiable defect size; the time required for the rotation of the detection member (15) , is the angular velocity of the rotation of the detection member (15); the total number of pixels collected by the scanner within the time , is the linear scanning speed of the laser scanner, is the number of pixel points covered by a single line scanning of the scanner on the surface of the detection member (15); in combination with the formula it is obtained that: , that is ;​ S2: detecting total time data , is the rotation scanning time, is the influence time of machine starting; the rotation scanning time must satisfy: , and is derived , that is ; taking the middle value of the fluctuation range as the optimal angular velocity ; when the rotation angular velocity of the detection member (15) is not within the rotation angular velocity fluctuation range, an adjustment signal is generated and transmitted to the execution module.

3. The appearance defect detection device for LNG hose loading boom production according to claim 2, characterized in that: The two ends of the detection piece (15) are clamped on the two three-jaw chucks (12). Q1: Obtain image data obtained by scanning, perform gray processing on the obtained image, and segment the image according to the size of the pixel block. The segmented image block is numbered according to the row and column number on the gray image. Obtain the corresponding numbered image block, and compare the gray value of the image block with the gray value of the corresponding numbered standard part image block. If the gray value of the corresponding numbered image block is not within the fluctuation range of the gray value of the corresponding numbered standard part image block, it is determined that the corresponding numbered image block is an abnormal image block. The number of abnormal image blocks is counted, and the proportion of non-abnormal image blocks is calculated , is the total number of image blocks in the segmented gray image.​ Q2: If , then determine that the current angular velocity deviates from the optimal value, generate a homing signal, and pass the homing signal to the execution module; calculate the deviation coefficient , and calculate the corrected angular velocity according to the deviation coefficient .

4. The appearance defect detection device for LNG hose loading boom production according to claim 1, characterized in that: ​

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