A door trim inspection fixture device

Abstract

The present invention relates to the field of automotive inspection tools, and particularly to a door trim inspection tool device, which includes a carrier vehicle; a positioning module and an inspection tool module are arranged on the carrier vehicle; the positioning module is used to fixedly install the door trim on the carrier vehicle; the inspection tool module includes: a detection module, which is used to detect the door trim fixed on the carrier vehicle and generate corresponding detection data; the detection data includes a plurality of sub-data; a prediction module, which is used to predict the usability of the door trim according to the detection data through an availability prediction model; a report generation module, which is used to generate a corresponding prediction report according to the prediction result of the prediction module. This solution can achieve accurate detection of the door trim and greatly improve its detection accuracy.

Description

Technical Field

[0001] The present invention relates to the field of automotive inspection tools, and particularly to a door trim inspection tool device. Background Art

[0002] An automotive door trim is a plate structure for decorating the door and is an important plastic component for decorating the interior of the door. The door trim is a plate structure for decorating the door, including a door interior trim panel and a triangular decorative panel. The back of the triangular decorative panel is directly injection molded and has at least two circular posts. Installation holes are provided at positions on the door interior trim panel corresponding to the posts on the back of the triangular decorative panel. A nylon retaining ring is sleeved on the installation holes, and the triangular decorative panel is installed on the door interior trim panel through the interference fit between the posts and the nylon retaining ring.

[0003] When the door trim is processed and produced, usually the size and quality of the door trim are detected. However, when the interior trim panel is currently detected, it is only placed on a platform for manual detection, which is likely to cause inconvenience and trouble to the subsequent detection process. At the same time, it is also inconvenient to transfer the entire interior trim panel, and the corresponding detection results are not very accurate and fast.

[0004] Based on this, there is an urgent need for a door trim inspection tool device that can accurately detect the door trim and greatly improve its detection accuracy. Summary of the Invention

[0005] The present invention aims to provide a door trim inspection tool device that can accurately detect the door trim and greatly improve its detection accuracy.

[0006] To achieve the above object, the present invention adopts the following technical solution: A door trim inspection tool device includes a carrier vehicle;

[0007] A positioning module and an inspection tool module are provided on the carrier vehicle;

[0008] The positioning module is used to fixedly install the door trim on the carrier vehicle;

[0009] The inspection tool module includes:

[0010] A detection module, which is used to detect the door trim fixed on the carrier vehicle and generate corresponding detection data;

[0011] A prediction module, which is used to predict the usability of the door trim according to the detection data through an availability prediction model;

[0012] A report generation module, which is used to generate a corresponding prediction report according to the prediction result of the prediction module.

[0013] The principle and advantages of this solution are as follows: In this solution, the corresponding positioning module and inspection tool module are set by a carrier vehicle, so that the detection platform where the corresponding door trim is located is closer to its actual installation state on the vehicle, which helps the corresponding test results to be more real and accurate.

[0014] Specifically, the corresponding door trim is fixed on the carrier vehicle through the positioning module, and is fixed at the actual position where the door trim is installed on the vehicle. Then, the door trim is detected by the detection module to generate corresponding detection data. After that, the usability of the door trim is predicted by the usability prediction model, and a prediction report is generated according to the prediction result.

[0015] Compared with the prior art, as the volume of the door trim becomes more and more diverse, the speed of manual detection becomes lower, the corresponding product quality detection efficiency is low, and the detection accuracy of long-term detection is low. In contrast, this application can quickly help vehicle manufacturers accurately evaluate and predict the usability of the door trim, and at the same time, the corresponding detection efficiency is higher.

[0016] Preferably, as an improvement, the positioning module includes a detection plate, positioning blocks fixed on the detection plate for positioning the door trim, and a plurality of clamps arranged on the detection plate for clamping the door trim; the clamps are arranged around the door trim; the detection plate is rotatably connected to the carrier vehicle; the clamps are detachably connected to the test plate; the clamps are used to cooperate with the positioning blocks to clamp the door trim.

[0017] Beneficial effects: In this solution, the clamping of the door trim is realized through the clamping cooperation between the clamps and the positioning blocks, and at the same time, it more realistically simulates the clamped state of the door trim on the vehicle. In this way, the state of the door trim on the vehicle can be more realistically reflected during specific detection, greatly improving the authenticity and accuracy of the detection. At the same time, the corresponding clamps and the test plate are detachably connected, so that door trims of different sizes can be adapted, greatly improving the applicability and utilization rate of the entire device.

[0018] Preferably, as an improvement, two support columns are arranged on the carrier vehicle, and the two support columns are arranged on the left and right sides of the detection plate;

[0019] A rotating mechanism is further arranged on the carrier vehicle. The rotating mechanism includes a controller and two rotating motors. The controller is electrically connected to the rotating motors, and the two rotating motors are respectively arranged on the left and right sides of the detection plate;

[0020] The motor shaft of the rotating motor is fixedly connected to the side wall of the detection plate, and the end of the rotating motor away from the motor shaft is fixedly connected to the support column on the carrier vehicle.

[0021] Beneficial effects: In this solution, the rotation mechanism is provided to enable the detection board and the carrier vehicle to be rotatably connected. In this way, during specific detection, the detection board is kept parallel to the carrier vehicle, thus more truly simulating the installation state of the door trim in the vehicle, and avoiding the problem that the detection result is inaccurate due to the influence of the self-weight of the door trim. Further improving the accuracy of the detection result. At the same time, when the operator needs to observe, the corresponding detection board can be rotated so that the detection board faces upward. This is not only convenient for observation, but also more convenient when replacing the door trim.

[0022] Preferably, as an improvement, a support block is provided on the carrier vehicle, and the support block is arranged directly below the detection board.

[0023] Beneficial effects: By providing the support block, the pressure at the connection between the detection board and the carrier vehicle can be greatly reduced, so that the gravity of the corresponding detection board is better distributed, making the whole device more stable.

[0024] Preferably, as an improvement, an opening is provided in the middle of the detection board.

[0025] Beneficial effects: Through the setting of the opening, the operator can better observe the inside of the door trim, greatly increasing the corresponding observation means and making it easier for the operator to observe the door trim.

[0026] Preferably, as an improvement, the prediction module includes:

[0027] An environmental reliability prediction module for predicting the environmental reliability index of the door trim according to the detection data through a BP neural network model, and judging whether the environmental reliability index is within a preset range. If so, execute the strength reliability prediction module; otherwise, determine that the environmental reliability of the door trim does not meet the standard and it is prone to aging;

[0028] A strength reliability prediction module for predicting the strength reliability index of the door trim according to the detection data through a BP neural network model, and judging whether the strength reliability index is within a preset range. If so, determine that the strength of the door trim meets the standard and the door trim is usable; otherwise, determine that the strength of the door trim does not meet the standard and it is prone to damage.

[0029] Beneficial effects: In this solution, when predicting the usability of the door trim, it is predicted and evaluated based on two aspects: environmental reliability and strength reliability. In this way, the error of the corresponding prediction result is smaller, and the corresponding speed is relatively fast, which can well quickly judge the usability of the door trim and facilitate the automotive manufacturing end to adjust the production line in a timely manner.

[0030] Preferably, as an improvement, the report generation module includes:

[0031] A cause analysis module, configured to obtain the detection data corresponding to the judgment result that the environmental reliability of the door trim panel does not meet the standard and is prone to aging, or the strength of the door trim panel does not meet the standard and is prone to damage, analyze the abnormal conditions of each sub-data in the corresponding detection data, and analyze according to the reasons for the abnormality of the sub-data to generate corresponding abnormal cause information;

[0032] A matching module, configured to match the most similar sub-data from the historical database according to the abnormal cause information;

[0033] An invocation module, configured to retrieve the manufacturing improvement plan in the sub-data from the historical database and add it to the prediction report as the corresponding re-improvement plan.

[0034] Beneficial effects: In this solution, the detection data corresponding to the door trim panels with unqualified environmental reliability and unqualified strength reliability are centrally obtained, and the unqualified sub-data are analyzed to form corresponding abnormal cause information. That is, when detecting a certain reliability, the corresponding detection data includes multiple sub-data, and the points detected by the corresponding sub-data are different. Each point has a corresponding standard, and only when the corresponding standard is met can it be considered that all parts of the entire door trim panel are qualified. Therefore, by analyzing each sub-data, the abnormal point can be quickly located, and then specific problems can be analyzed specifically to find out the reasons. After that, according to the abnormal cause information corresponding to this abnormal point, the most similar sub-data can be quickly matched from the historical database, that is, the door trim panels of other batches with the same sub-data abnormality. In this way, the corresponding historical processing plan, that is, the manufacturing improvement plan, can be found according to this matching result, and this manufacturing improvement plan can be added to the prediction report. In this way, in the later manufacturing, the enterprise manufacturer can timely adjust the processing of the door trim panel to avoid the problem that the same abnormality appears again, resulting in the non-compliance of the next batch of door trim panels. Description of the Drawings

[0035] Figure 1 It is a schematic structural diagram of the door trim panel inspection device in the first embodiment of the present invention.

[0036] Figure 2 It is a schematic structural diagram of the gripper in the first embodiment of the present invention.

[0037] Figure 3 It is a logic block diagram of the door trim panel inspection device in the first embodiment of the present invention.

[0038] Figure 4 It is a schematic diagram of the state of using the detection block for detection in the second embodiment of the present invention. Detailed implementation manners

[0039] The following is a further detailed description through specific implementation manners:

[0040] The markings in the attached drawings of the specification include: vehicle 1, detection plate 2, door trim panel 3, gripper 4, first fixing block 5, connecting seat 6, first handle 7, first connecting plate 8, connecting arm 9, first clamping block 10, fastening part 11, and supporting part 12.

[0041] The embodiment is basically as shown in the attached Figure 1 and Figure 3 : A door trim panel inspection device includes a vehicle 1;

[0042] A positioning module and an inspection tool module are provided on the vehicle 1;

[0043] The positioning module is used to fixedly install the door trim panel 3 on the vehicle 1;

[0044] The positioning module includes a detection plate 2, positioning blocks fixed on the detection plate 2 for positioning the door trim panel 3, and a plurality of grippers 4 provided on the detection plate 2 for clamping the door trim panel 3; in this embodiment, as shown Figure 2 : The gripper 4 includes a first fixing block 5, a connecting seat 6, a first rotating shaft, a first handle 7, a first connecting plate 8, a connecting arm 9, and a first clamping block 10;

[0045] The top of the first fixing block 5 is fixedly connected to the connecting seat 6. The connecting seat 6 is rotatably connected to the first connecting plate 8 through the first rotating shaft. The connecting seat 6 is also rotatably connected to the first handle 7. One end of the first connecting plate 8 away from the connecting seat 6 is fixedly connected to the connecting arm 9. The bottom of the side of the connecting arm 9 away from the first connecting plate 8 is fixedly connected to the first clamping block 10. By rotating the first handle 7 to flip the first connecting plate 8 and the connecting arm 9, the first clamping block 10 at the bottom of the connecting arm 9 flips to clamp the door trim panel 3 on the detection plate 2. In this embodiment, the first fixing block 5 is fixedly connected to the detection plate 2 and the first fixing block 5 is fixedly connected to the connecting seat 6 through bolts and nuts. In order to make the gripper 4 detachably connected to the detection plate 2, a plurality of through holes are provided in the corresponding detection plate 2; through holes are also provided at the bottom of the first fixing block 5, and fixation is achieved through bolts and nuts.

[0046] A plurality of the holders 4 are arranged around the door trim panel 3 to clamp the door trim panel 3 at multiple positions. At the same time, the detection plate 2 is rotatably connected to the carrier vehicle 1. Specifically, two corresponding support columns are welded and fixed on the corresponding carrier vehicle 1. These two support columns are arranged on the left and right sides of the detection plate 2. The detection plate 2 is rotatably connected to the support columns through a rotation mechanism. The rotation mechanism includes a controller and two rotation motors. The controller is electrically connected to the rotation motors. These two rotation motors are respectively arranged on the left and right sides of the detection plate 2. The end of the rotation motor away from the motor shaft is welded and fixed to the respective corresponding support column, and the end of the rotation motor close to the motor shaft is welded and fixed to the side wall of the detection plate 2. In this way, the controller can adjust the state of the detection plate 2 by controlling the rotation of the rotation motors.

[0047] In order to reduce the force of the detection plate 2 on the rotation motors and avoid the long-term stress on the rotation motors, a corresponding support block is welded and fixed on the carrier vehicle 1 directly below the detection plate 2 to support the bottom of the detection plate 2, thereby realizing the reasonable dispersion of the weight of the detection plate 2.

[0048] At the same time, for the convenience of observation, an opening is provided on the corresponding detection plate 2 at the position where the door trim panel 3 is installed. In this way, the operator can observe the door trim panel 3 through the opening.

[0049] The inspection tool module includes:

[0050] A detection module for detecting the door trim panel 3 fixed on the carrier vehicle 1 and generating corresponding detection data; the detection data includes a plurality of sub-data;

[0051] A prediction module for predicting the usability of the door trim panel 3 according to the detection data through an availability prediction model; the prediction module includes:

[0052] An environmental reliability prediction module for predicting the environmental reliability index of the door trim panel 3 according to the detection data through a BP neural network model, and judging whether the environmental reliability index is within a preset range. If so, the strength reliability prediction module is executed; otherwise, it is determined that the environmental reliability of the door trim panel 3 does not meet the standard and it is prone to aging;

[0053] A strength reliability prediction module for predicting the strength reliability index of the door trim panel 3 according to the detection data through a BP neural network model, and judging whether the strength reliability index is within a preset range. If so, it is determined that the strength of the door trim panel 3 meets the standard and the door trim panel 3 is usable; otherwise, it is determined that the strength of the door trim panel 3 does not meet the standard and it is prone to damage.

[0054] In this embodiment, artificial intelligence is used for prediction. Specifically, both the environmental reliability prediction module and the strength reliability prediction module include a BP neural network model. The BP neural network technology is used to evaluate the usability of the door trim 3 and generate corresponding usability prediction results. Specifically, first, a three-layer BP neural network model is constructed, including an input layer, a hidden layer, and an output layer. For example, in this embodiment, when corresponding to environmental reliability detection, the high-temperature resistance data, humidity resistance data, light aging resistance data, and buckle performance data are used as the inputs of the input layer. Therefore, the input layer has 4 nodes, and the output is the prediction of the environmental reliability of the corresponding door trim 3. Therefore, there is 1 node. For the hidden layer, the following formula is used in this embodiment to determine the number of nodes in the hidden layer: where l is the number of nodes in the hidden layer, n is the number of nodes in the input layer, m is the number of nodes in the output layer, and a is a number between 1 and 10. In this embodiment, it is taken as 6. Therefore, the hidden layer has a total of 8 nodes. The BP neural network usually uses the Sigmoid differentiable function and the linear function as the activation functions of the network. In this paper, the S-shaped tangent function tansig is selected as the activation function of the hidden layer neurons. The prediction model selects the S-shaped logarithmic function tansig as the activation function of the output layer neurons.

[0055] The report generation module is used to generate a corresponding prediction report according to the prediction results of the prediction module.

[0056] The report generation module includes:

[0057] The cause analysis module is used to obtain the detection data when the corresponding judgment result is that the environmental reliability of the door trim 3 does not meet the standard and it is prone to aging, or the strength of the door trim 3 does not meet the standard and it is prone to damage, analyze the abnormal conditions of each sub-data in the corresponding detection data, and analyze according to the reasons for the abnormality of the sub-data to generate corresponding abnormal cause information;

[0058] The matching module is used to match the most similar sub-data from the historical database according to the abnormal cause information;

[0059] The calling module is used to retrieve the manufacturing improvement plan in the sub-data from the historical database and add it to the prediction report as the corresponding re-improvement plan.

[0060] In this embodiment, first, according to whether the environmental reliability of the corresponding door trim 3 meets the standard and what the non-compliant sub-data are, the corresponding abnormal causes can be matched according to the sub-data. In this way, when processing this batch of door trims 3, the sub-data similar to the abnormal conditions of the sub-data can be matched from the previous historical database, and then the method for solving the abnormality of the sub-data at that time can be found, which greatly improves the timely adjustment of abnormal conditions.

[0061] Example 2

[0062] Compared with Example 1, the difference in this example is that: a detection block is detachably connected to the detection plate 2, the detection block is snap-fitted and matched with the door trim 3, the detection block includes a snap-fitting portion 11 and a support portion 12, the snap-fitting portion 11 is snap-fitted and fixed to the front end of the door trim 3, the support portion 12 is in close contact with the middle end of the door trim 3, and a hollow structure is formed between the door trim 3 and the detection block; an air inlet is provided in the support portion 12, and the air inlet is used to introduce a gas at a preset temperature;

[0063] It further includes a thermal imaging acquisition module, which is used to perform thermal imaging acquisition on the door trim 3 after introducing a gas at a preset temperature into the air inlet to obtain a corresponding thermal imaging detection map;

[0064] A judgment module is used to retrieve the thermal imaging standard map of the door trim 3 from the database according to the thermal imaging detection map, find the difference points between the thermal imaging detection map and the thermal imaging standard map, analyze the formation reasons of the difference points, and generate a corresponding analysis report.

[0065] In this example, a corresponding detection block is detachably connected to the corresponding detection plate 2, and the corresponding detection block is snap-fitted with the door trim 3 to simulate the installation situation of the door trim 3 on a real vehicle, that is, it is snap-fitted with the corresponding real vehicle and in an interference fit state. Considering that the door trim 3 is snap-fitted on the real vehicle during installation, the shape of the corresponding detection block is the same as that of the door trim 3, and the middle part is a hollow structure, which is convenient for installation and operation.

[0066] As Figure 4 shown, specifically, the detection block includes a snap-fitting portion 11 and a support portion 12. The snap-fitting portion 11 is responsible for snap-fitting and fixing the front end part of the door trim 3, that is, realizing an interference fit state, while the support portion 12 is in close contact with the middle end of the door trim 3, so as to realize a supporting effect on the door trim 3 and ensure a better snap-fitting effect.

[0067] Of course, in order to be able to judge whether the snap-fitting between the door trim 3 and the detection block meets the requirements, after the corresponding door trim 3 and the detection block are snap-fitted, a hollow structure is formed between them, and an air inlet for other substances to enter is provided on the support portion 12. First, a gas at a preset temperature can be input so that the gas at a preset temperature acts on the door trim 3, so that the material and temperature resistance of the door trim 3 can be judged. At the same time, after the action is completed, the snap-fitting effect between the door trim 3 and the detection block can also be observed and judged. Of course, such a judgment is not very accurate, but it can be used as a pretreatment to first exclude some unqualified door trims 3 that can be judged by humans.

[0068] In order to more accurately detect the latching effect between the door trim 3 and the detection block, in this embodiment, after introducing a gas carrying temperature into the corresponding air inlet through the thermal imaging acquisition module, the thermal imaging of the door trim 3 at this time is collected to generate a corresponding thermal imaging detection map. Then, the judgment module retrieves the standard thermal imaging map of the door trim 3 in the database, that is, the thermal imaging map when the door trim 3 is in the standard latching state. By comparing the two, the corresponding difference points can be quickly found. Then, based on the thermal imaging corresponding to these difference points, the reasons for this situation can be analyzed, and a cause analysis report can be generated, which can help enterprise manufacturers better determine and improve the problems of this type of door trim 3 in the same batch.

[0069] In a real vehicle, the door trim 3 is generally latched to the corresponding components on the real vehicle, that is, interference fit. Generally, these interference fits have corresponding requirements, that is, there are certain requirements for the distance between the door trim 3 and the corresponding components. Existing door trim 3 inspection devices usually simulate this state during the installation of the door trim 3, that is, simulate the latching state between the door trim 3 and the corresponding components on the real vehicle. In order to determine that the corresponding simulation is accurate and reliable, usually, the distance between the door trim 3 and the detection block latched to the door trim 3 is detected. The main method is to take pictures of the connection between the door trim 3 and the detection block through a camera, and then calculate and judge the distance between the two through the photos. This method is extremely complex and inconvenient. After all, it is necessary to take pictures of the entire circumference of the door trim 3, which requires rotating the camera or the door trim 3. Not only is the operation complex, but also there are many factors affecting the detection results, such as photo shadow problems, shooting angle problems, etc., which will all affect the detection of the distance.

[0070] When this application detects the distance between them, since the support portion 12 is in close contact with the door trim 3 and the space between the detection block and the door trim 3 is a hollow structure, then the space between the door trim 3 and the detection block can be regarded as a relatively sealed space. Then, when the corresponding hot gas is introduced into the air inlet of the support portion 12, the corresponding hot gas will pass out through the gap between the door trim 3 and the latching portion 11 of the detection block. The speed at which the hot gas passes out through the gaps with different distances will also be different. Then, the corresponding images in the thermal imaging detection image collected by the thermal imaging acquisition module will also be different. Then, by retrieving the standard thermal imaging map of the door trim 3, the difference points between the two can be quickly known, so as to quickly determine the position of the abnormal points of the detected door trim 3, and the reasons can also be effectively analyzed according to the image situation of the abnormal points.

[0071] The above are only embodiments of the present invention, and common general technical solutions and / or characteristics in the solutions are not described in detail herein. It should be noted that for those skilled in the art, without departing from the technical solution of the present invention, several modifications and improvements can be made, which should also be regarded as the protection scope of the present invention, and these will not affect the implementation effect of the present invention and the practicality of the patent. The protection scope claimed in this application shall be subject to the content of its claims, and the specific implementation manners and the like described in the specification can be used to interpret the content of the claims.

Claims

1. A door trim inspection fixture device, characterized in that: It includes a vehicle; A positioning module and a gage module are provided on the vehicle; The positioning module is used to fixedly install the door trim on the vehicle; The gage module includes: A detection module, which is used to detect the door trim fixed on the vehicle and generate corresponding detection data; the detection data includes multiple sub-data; A prediction module, which is used to predict the usability of the door trim according to the detection data through an availability prediction model; A report generation module, which is used to generate a corresponding prediction report according to the prediction result of the prediction module; The positioning module includes a detection plate, positioning blocks fixed on the detection plate for positioning the door trim, and multiple grippers arranged on the detection plate for gripping the door trim; the grippers are arranged around the door trim; the detection plate is rotatably connected to the vehicle; the grippers are detachably connected to the test plate; the grippers are used to cooperate with the positioning blocks to grip the door trim; A detection block is detachably connected to the detection plate, and the detection block is snap-fitted and matched with the door trim. The detection block includes a snap-fitting portion and a support portion. The snap-fitting portion is snap-fitted and fixed to the front end of the door trim, and the support portion is in close contact with the middle end of the door trim. There is a hollow structure between the door trim and the detection block; an air inlet is provided on the support portion, and the air inlet is used to introduce a gas at a preset temperature; It further includes a thermal imaging acquisition module, which is used to perform thermal imaging acquisition on the door trim after introducing a gas at a preset temperature into the air inlet to obtain a corresponding thermal imaging detection image; A judgment module, which is used to retrieve the thermal imaging standard image of the door trim from the database according to the thermal imaging detection image, find out the difference points between the thermal imaging detection image and the thermal imaging standard image, analyze the formation reasons of the difference points, and generate a corresponding analysis report.

2. The jig device for a door trim according to claim 1, characterized in that: Two support columns are provided on the vehicle, and the two support columns are arranged on the left and right sides of the detection plate; A rotation mechanism is further provided on the vehicle. The rotation mechanism includes a controller and two rotation motors. The controller is electrically connected to the rotation motors, and the two rotation motors are respectively arranged on the left and right sides of the detection plate; The motor shaft of the rotation motor is fixedly connected to the side wall of the detection plate, and the end of the rotation motor away from the motor shaft is fixedly connected to the support column on the vehicle.

3. The inspection fixture device for a door trim panel according to claim 2, characterized in that: A support block is provided on the vehicle, and the support block is arranged directly below the detection plate.

4. The fixture device for door trim according to claim 3, characterized in that: An opening portion is provided in the middle of the detection plate.

5. The fixture device for a door trim according to claim 1, characterized in that: The prediction module includes: An environmental reliability prediction module, which is used to predict the environmental reliability index of the door trim according to the detection data through a BP neural network model, judge whether the environmental reliability index is within a preset range. If so, execute the strength reliability prediction module. Otherwise, it is determined that the environmental reliability of the door trim does not meet the standard and it is easy to age; A strength reliability prediction module, which is used to predict the strength reliability index of the door trim according to the detection data through a BP neural network model, and judge whether the strength reliability index is within a preset range. If so, it is determined that the strength of the door trim is up to standard and the door trim is usable. Otherwise, it is determined that the strength of the door trim is not up to standard and it is easy to be damaged.

6. The fixture device for a door trim according to claim 5, characterized in that: The report generation module includes: A cause analysis module is used to obtain the detection data corresponding to the judgment result that the environmental reliability of the door trim is not up to standard and it is prone to aging, or the strength of the door trim is not up to standard and it is prone to damage, analyze the abnormal conditions of each sub-data in the corresponding detection data, and analyze according to the reasons for the abnormality of the sub-data to generate corresponding abnormal cause information; A matching module is used to match the most similar sub-data from the historical database according to the abnormal cause information; A calling module is used to retrieve the manufacturing improvement plan in the sub-data from the historical database and add it to the prediction report as the corresponding re-improvement plan.

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