Error-proof correction system for installation of inserts of various specifications of automobile storage battery tray

By introducing a combination of image recognition, model comparison and correction units into the injection molding system of automobile battery tray products, the problem of inset installation position errors is solved, automated detection and correction is realized, and product quality and production efficiency are improved.

CN119795521APending Publication Date: 2025-04-11DALIAN HUALU GUOZHENG IND CO LTD
View PDF 0 Cites 0 Cited by

Patent Information

Application Number
CN202411792540.8
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2024-12-07
Publication Date
2025-04-11

AI Technical Summary

Technical Problem

Before injection molding of automobile battery pallet products, the installation location of the inserts is prone to errors, mixed and missed installation, resulting in bad products and affecting the production and quality of the vehicle manufacturer.

Method used

Design an automotive battery tray with multiple specifications of inserts installed with error-proof correction system, including image recognition unit, model comparison unit and correction unit. The image recognition unit captures the mold position through the camera, and the model comparison unit constructs a virtual image model and a three-dimensional model to compare it. The correction unit recognizes the deviation and conducts correction guidance and self-test.

Benefits of technology

Automatic inspection and correction of the installation location of the insert is realized, reducing the cost and error rate of manual inspection, ensuring product quality, avoiding the occurrence of defective products, and improving production efficiency.

✦ Generated by Eureka AI based on patent content.

Smart Images

  • Figure CN119795521A_ABST
    Figure CN119795521A_ABST
Patent Text Reader

Abstract

The invention relates to the technical field of mold insert correction, in particular to a mounting mistake-proofing correction system for inserts of various specifications of an automobile storage battery tray. The system comprises an image identification unit, a model comparison unit and a correction unit. According to the invention, the fitting position of the mold is shot through the image recognition unit, then the position of the mold is determined to obtain the actual position of the mold, then virtual image simulation is constructed through the model comparison unit and is compared with a three-dimensional model, the deviation between the virtual image model and the three-dimensional model is determined through the correction unit, and if the deviation occurs, the mold is corrected. If yes, the correction unit gives an alarm, so that a worker can rapidly know the mold deviation condition, meanwhile, when the correction unit gives an alarm, the virtual image model is corrected and guided, self-inspection is carried out after a correction method is formulated, and outward display is carried out after self-inspection is qualified; and a worker can adjust the position of the mold by referring to a correction method, and the mold repairing speed of the worker is increased.
Need to check novelty before this filing date? Find Prior Art

Description

Technical Field

[0001] The invention relates to the technical field of mold insert correction, in particular to an anti-error correction system for installing inserts of various specifications on a vehicle battery tray. Background Art

[0002] For automotive battery tray products, inserts need to be installed before injection molding. Because there are many types and specifications of inserts and different installation positions, when the movable mold and the fixed mold are close to each other for sealing, defective products such as wrong installation position, mixed installation, and missing inserts often appear. It is necessary to manually check the products for a second time to confirm the installation of the inserts. Sometimes the defective products are not checked out manually, resulting in the flow of defective products into the vehicle manufacturer's client. The battery tray products or battery packs cannot be fixed during assembly, causing the vehicle manufacturer's assembly line to stop production, and the batch products are isolated and returned in full. The vehicle manufacturer is compensated for the losses caused by the shutdown of the battery tray products due to the defective battery tray products, which is a major quality accident. Because manual inspection of inserts cannot 100% guarantee that all products are good, the injection molding machine itself does not have the function of insert installation error prevention device, which cannot meet the actual production needs. It is urgent to design a system that can detect the problem of incorrect insert installation position, find defects before injection molding of battery tray products, and ensure that no defective products are produced, improve the efficiency of insert inspection, and reduce the cost of manual secondary inspection. Summary of the invention

[0003] The object of the present invention is to provide an error-proofing and correction system for installing inserts of various specifications on a vehicle battery tray, so as to solve the problems raised in the above-mentioned background technology.

[0004] To achieve the above-mentioned purpose, a system for error-proofing and correction of the installation of inserts of various specifications of an automobile battery tray is provided, comprising an image recognition unit, a model comparison unit and a correction unit;

[0005] The image recognition unit is used to control the cameras arranged around the battery mold to take images of the fitting positions of the battery mold, and determine the actual position of the battery mold according to the content of the image capture;

[0006] The model comparison unit builds a model of the battery mold, and sets a specified moving track of the battery mold after the model is built. At the same time, the model comparison unit imports the anchor point of the built mold into the image recognition unit to help the image recognition unit locate the battery mold; at the same time, the model comparison unit determines the virtual image model according to the position determined by the image recognition unit, and compares the modeled mold model with the virtual image model;

[0007] The correction unit identifies the deviation between the virtual image model and the mold model according to the position comparison result of the model comparison unit, displays the deviation, and provides correction guidance according to the mold deviation, and performs self-inspection after the correction guidance.

[0008] As a further improvement of the technical solution, the image recognition unit includes an image capturing module, an anchor point recognition module and a position determination module;

[0009] The image shooting module controls a plurality of cameras to shoot images of the positions where the battery molds are fitted. In the process of injecting the battery molds, there is usually a fixed mold and a movable mold. The fixed mold is fixed, and the injection and demoulding of the battery molds are completed by the movement of the movable mold. The cameras are installed around the fixed molds, and the cameras shoot the positions where the fixed molds and the movable molds are in contact. At the same time, a plurality of anchor points are set on the movable mold. When the cameras shoot, the anchor points on the movable mold are also captured in the pictures.

[0010] The anchor point recognition module recognizes the anchor point of the image captured by the camera, and determines the state of the mold placement with the help of the mold model established by the model comparison unit;

[0011] The position determination module determines the position of the mold according to the information of the image captured by the image capture module and the state of the mold placement determined by the anchor point recognition module.

[0012] As a further improvement of the technical solution, the model comparison unit includes a mold modeling module;

[0013] The mold modeling module receives the data of the injection mold, wherein the data of the injection mold includes the dimensions of the movable mold and the fixed mold, and the direction and distance in which the movable mold moves. The mold modeling module performs three-dimensional modeling of the movable mold and the fixed mold according to the received data of the injection mold, and establishes an anchor point position on the modeled model. At the same time, the established three-dimensional model is a model state in which the model is accurately fitted, wherein the established fixed model is fixed, while the movable mold can be offset in position.

[0014] As a further improvement of the present technical solution, when determining the placement state of the mold, the anchor point recognition module receives the three-dimensional model of the mold modeled by the mold modeling module, and then determines the current placement state of the mold captured by the camera controlled by the image capturing module according to the anchor point position recognized by the anchor point recognition module from the image capturing module. At the same time, the position determination module determines the position of the mold according to the placement state of the mold recognized by the anchor point recognition module. The anchor point recognition module matches the anchor points with the help of the three-dimensional model established by the mold modeling module, so as to speed up the acquisition of the actual mold position and reduce the difficulty of determining the actual mold position.

[0015] As a further improvement of the technical solution, the model comparison unit further includes a virtual image model positioning module;

[0016] The virtual image model positioning module is used to receive the actual mold position data determined by the position determination module and the three-dimensional model of the mold established by the mold modeling module, and then establish the virtual image model with the help of the three-dimensional model of the mold and the actual position of the mold, and locate the virtual image model after the virtual image model is established.

[0017] As a further improvement of the technical solution, the model comparison unit also includes a position comparison module;

[0018] The position comparison module compares the three-dimensional model established by the mold modeling module with the virtual image model established by the virtual image model positioning module to obtain the position difference between the two models, and also obtains the offset distance between the anchor point on the three-dimensional model and the anchor point on the virtual image model.

[0019] As a further improvement of the technical solution, the correction unit includes a deviation identification module;

[0020] The deviation identification module receives the three-dimensional model modeled by the mold modeling module and the result of the position comparison module comparing the three-dimensional model and the virtual image model, and determines whether there is a deviation between the three-dimensional model and the virtual image model based on the comparison result, and displays and alarms after identifying the deviation.

[0021] As a further improvement of the technical solution, the method in which the deviation identification module determines the deviation between the three-dimensional model and the virtual image model is as follows:

[0022] ① Mark the anchor points on the three-dimensional model and the anchor points on the virtual image model, determine the corresponding anchor points on the three-dimensional model and the virtual image model, and mark the anchor points after determination. The marks of the anchor points are recorded when the mold modeling module and the virtual image model positioning module are established to establish the three-dimensional model and the virtual image model;

[0023] ② Determine the origin in the 3D model (the origin is a point on the 3D model of the fixed mold), then establish a spatial coordinate system based on the origin, and then mark the 3D spatial coordinates of the anchor points on the 3D model and the virtual image model according to the size ratio of the spatial coordinate system;

[0024] ③, according to the three-dimensional space coordinates between the two corresponding anchor points on the three-dimensional model and the virtual image model, calculate the vector between the two coordinate points, whose direction is from the anchor point on the virtual image model to the anchor point direction of the three-dimensional model;

[0025] ④. Calculate the vectors of several anchor points on the virtual image model and the three-dimensional model, and then determine whether there is a positional offset between the virtual image model and the three-dimensional model based on the size of each vector.

[0026] As a further improvement of the technical solution, the correction unit further includes a correction guidance module and a self-check export module;

[0027] The correction guidance module receives the deviation information identified by the deviation identification module, and obtains the vector data of the virtual image model and several anchor points on the three-dimensional model calculated by the deviation identification module, and at the same time marks the range value of the deviation and displays the position of the deviation, and corrects the direction of converting the virtual image model to the three-dimensional model according to the vector direction of the virtual image model and several anchor points on the three-dimensional model; wherein for the direction of each vector of the direction in which the model is converted to the three-dimensional model, each anchor point on the virtual image model moves in the direction of the corresponding vector, and the distance moved is the size of the corresponding vector.

[0028] The self-check export module performs self-check on the correction method proposed by the correction guidance module, and compares the corrected virtual image model with the three-dimensional model during the self-check. After comparison in the position comparison module, the comparison result is transmitted to the deviation identification module, and the deviation identification module performs deviation identification on the corrected virtual image model. If the corrected virtual image model and the three-dimensional model do not deviate, the correction result is exported and the correction guidance module displays the correction guidance method.

[0029] Compared with the prior art, the present invention has the following beneficial effects:

[0030] In the error-proofing correction system for the installation of various specifications of inserts in the automotive battery tray, the image recognition unit is used to photograph the mold fitting position, and then the position of the mold is determined to obtain the actual mold position, and then the virtual image simulation and three-dimensional model comparison are constructed by the model comparison unit, and the deviation between the virtual image model and the three-dimensional model is determined by the correction unit. If a deviation occurs, the correction unit will alarm, so that the staff can quickly understand the mold deviation. At the same time, when the correction unit alarms, the virtual image model is corrected and guided, and self-inspection is performed after the correction method is formulated. After the self-inspection is qualified, it is displayed to the outside, so that the staff can refer to the correction method to adjust the position of the mold, thereby speeding up the workers to repair the mold. BRIEF DESCRIPTION OF THE DRAWINGS

[0031] Figure 1 It is the overall structural diagram of the present invention;

[0032] Figure 2 The figure is a detailed block diagram of the overall structure of the present invention.

[0033] The meaning of each number in the figure is:

[0034] 1. Image recognition unit; 11. Image capture module; 12. Anchor point recognition module; 13. Position determination module;

[0035] 2. Model comparison unit; 21. Mould modeling module; 22. Virtual image model positioning module; 23. Position comparison module;

[0036] 3. Correction unit; 31. Deviation identification module; 32. Correction guidance module; 33. Self-check export module. DETAILED DESCRIPTION

[0037] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0038] See also Figure 1-Figure 2 As shown, the purpose of this embodiment is to provide an error-proofing and correction system for installing inserts of various specifications of a vehicle battery tray, including an image recognition unit 1, a model comparison unit 2 and a correction unit 3;

[0039] The image recognition unit 1 is used to control the cameras arranged around the battery mold to take images of the fitting position of the battery mold, and determine the actual position of the battery mold according to the content of the image capture;

[0040] The image recognition unit 1 includes an image capturing module 11, an anchor point recognition module 12 and a position determination module 13;

[0041] The image shooting module 11 captures the image of the battery mold fitting position by controlling several cameras. In the process of battery mold injection, there is usually a fixed mold and a movable mold. The fixed mold is fixed, and the injection and demoulding of the battery mold are completed by the movement of the movable mold. The camera is installed around the fixed mold. The camera captures the contact position between the fixed mold and the movable mold. When the movable mold and the fixed mold are in contact, the camera captures the position between the movable mold and the fixed mold to obtain the fitting situation between the movable mold and the fixed mold. At the same time, several anchor points are set on the movable mold. When the camera is shooting, the anchor points on the movable mold are also captured in the picture to facilitate the identification of the anchor point position later.

[0042] The anchor point recognition module 12 recognizes the anchor point of the image taken by the camera, that is, it recognizes the image content and then obtains the anchor point information. At the same time, it uses the mold model established by the model comparison unit 2 to determine the state of the mold placement. By obtaining the position of the mold model, the system obtains the position of the movable mold on the side of the fixed mold, so as to facilitate the subsequent determination of the specific position of the movable mold.

[0043] The position determination module 13 determines the position of the mold according to the information of the image captured by the image capture module 11 and the state of the mold determined by the anchor point recognition module 12, and determines whether the mold is offset by determining the position of the mold.

[0044] The model comparison unit 2 establishes a model of the battery mold, and sets a specified moving track of the battery mold after the model is established. At the same time, the model comparison unit 2 imports the anchor point of the established mold into the image recognition unit 1 to help the image recognition unit 1 locate the battery mold; at the same time, the model comparison unit 2 determines the virtual image model according to the position determined by the image recognition unit 1, and compares the modeled mold model with the virtual image model;

[0045] The model comparison unit 2 includes a mold modeling module 21;

[0046] The mold modeling module 21 receives the data of the injection mold, wherein the data of the injection mold includes the dimensions of the movable mold and the fixed mold, and the direction and distance of movement of the movable mold. The mold modeling module 21 models the movable mold and the fixed mold in a three-dimensional model according to the received data of the injection mold, wherein the established three-dimensional model is a model in which the fixed mold and the movable mold fit together, and this model is a standard state in which the fixed mold and the movable mold fit together, and an anchor point position is established on the modeled model, and the position of the anchor point corresponds to the anchor point position set on the movable mold. At the same time, the established three-dimensional model is a model state in which the model is accurately fitted, wherein the established fixed model is fixed, and the movable mold can be offset in position, that is, the position of the movable mold can change to adapt to the use of the movable mold.

[0047] When determining the placement state of the mold, the anchor point recognition module 12 receives the three-dimensional model of the mold modeled by the mold modeling module 21, and then determines the current placement state of the mold captured by the camera controlled by the image capturing module 11 according to the anchor point position recognized by the anchor point recognition module 12 from the image capturing module 11. At the same time, the position determination module 13 determines the position of the mold according to the placement state of the mold recognized by the anchor point recognition module 12. The anchor point recognition module 12 matches the anchor points by using the three-dimensional model established by the mold modeling module 21, so as to speed up the acquisition of the actual mold position and reduce the difficulty of determining the actual mold position.

[0048] The model comparison unit 2 also includes a virtual image model positioning module 22;

[0049] The virtual image model positioning module 22 is used to receive the actual mold position data determined by the position determination module 13 and the three-dimensional model of the mold established by the mold modeling module 21, and then establish a virtual image model with the help of the three-dimensional model of the mold and the actual position of the mold, and locate the virtual image model after the virtual image model is established. The established virtual image model is a model of the movable mold, and the position of the fixed mold does not change, which can be used as a fixed point to determine the movable mold, so as to facilitate the determination of the position of the movable mold.

[0050] The model comparison unit 2 also includes a position comparison module 23;

[0051] The position comparison module 23 compares the three-dimensional model established by the mold modeling module 21 with the virtual image model established by the virtual image model positioning module 22 to obtain the position difference between the two models, and also obtains the offset distance between the anchor point on the three-dimensional model and the anchor point on the virtual image model. When obtaining the data of the position difference between the three-dimensional model and the virtual image model, the three-dimensional model of the fixed mold is used as the fixed point, so as to accurately position the three-dimensional model of the movable mold and the virtual image model, and ensure the accuracy of the position comparison between the virtual image model and the three-dimensional model. The comparison method of the position comparison module 23 is to position the movable mold with the three-dimensional model of the fixed mold, and then determine the position between the virtual image model and the fixed mold, and then overlap the three-dimensional mold and the virtual image model that are both attached to the fixed mold. If the three-dimensional model and the virtual image model completely overlap, it means that the position of the current movable mold represented by the virtual image model has not shifted, and the mold itself is used normally. If there is an intersection between the three-dimensional model and the virtual image model, it means that the position of the current movable mold represented by the virtual image model has shifted.

[0052] The correction unit 3 identifies the deviation between the virtual image model and the mold model according to the position comparison result of the model comparison unit 2, and displays the deviation, and provides correction guidance according to the mold deviation, and performs self-inspection after the correction guidance.

[0053] The correction unit 3 includes a deviation identification module 31;

[0054] The deviation identification module 31 receives the three-dimensional model modeled by the mold modeling module 21 and the comparison result between the three-dimensional model and the virtual image model by the position comparison module 23, and determines whether there is a deviation between the three-dimensional model and the virtual image model based on the comparison result, and displays and alarms after identifying the deviation.

[0055] The method by which the deviation identification module 31 determines the deviation between the three-dimensional model and the virtual image model is as follows:

[0056] ①, marking the anchor points on the three-dimensional model and the anchor points on the virtual image model, determining the corresponding anchor points on the three-dimensional model and the virtual image model, and marking the anchor points after determination, and recording the marks of the anchor points when the mold modeling module 21 and the virtual image model positioning module 22 are established to establish the three-dimensional model and the virtual image model;

[0057] ② Determine the origin in the 3D model (the origin is a point on the 3D model of the fixed mold, because the fixed mold itself does not move and is a very stable device), then establish the spatial coordinate system based on the origin, and then mark the 3D spatial coordinates of the anchor points on the 3D model and the virtual image model according to the size ratio of the spatial coordinate system;

[0058] ③, according to the three-dimensional space coordinates between the two corresponding anchor points on the three-dimensional model and the virtual image model, calculate the vector between the two coordinate points, whose direction is from the anchor point on the virtual image model to the anchor point direction of the three-dimensional model;

[0059] ④. Calculate the vectors of several anchor points on the virtual image model and the three-dimensional model, and then determine whether there is a positional offset between the virtual image model and the three-dimensional model based on the size of each vector;

[0060] When the vector sizes of several anchor points on the virtual image model and the three-dimensional model are all 0, it means that there is no deviation between the virtual image model and the three-dimensional model. When the vector sizes of several anchor points on the virtual image model and the three-dimensional model are not 0, it means that there is a deviation between the virtual image model and the three-dimensional model.

[0061] The correction unit 3 also includes a correction guidance module 32 and a self-checking export module 33;

[0062] The correction guidance module 32 receives the deviation information identified by the deviation identification module 31, and obtains the vector data of the virtual image model and several anchor points on the three-dimensional model calculated by the deviation identification module 31, and marks the range value of the deviation, that is, the position where the virtual image model and the three-dimensional model do not overlap is displayed in color, and the position of the deviation is displayed. The worker can understand the offset of the dynamic mold through the image displayed by the correction guidance module 32, and at the same time, the direction of converting the virtual image model to the three-dimensional model is corrected according to the vector direction of the virtual image model and several anchor points on the three-dimensional model; wherein the direction of conversion of the virtual image model is the direction of each vector to the three-dimensional model, and each anchor point on the virtual image model moves in the direction of the corresponding vector, and the distance moved is the size of the corresponding vector.

[0063] The self-check export module 33 performs self-check on the correction method proposed by the correction guidance module 32, and compares the corrected virtual image model with the three-dimensional model during the self-check. After comparison in the position comparison module 23, the comparison result is transmitted to the deviation identification module 31, and the deviation identification module 31 performs deviation identification on the corrected virtual image model. If there is no deviation between the corrected virtual image model and the three-dimensional model, the correction result is exported and the correction guidance module 32 displays the correction guidance method.

[0064] The image recognition unit 1 takes a picture of the mold fitting position, and then determines the position of the mold to obtain the actual position of the mold. Then, the model comparison unit 2 constructs a virtual image simulation and a three-dimensional model for comparison, and the correction unit 3 determines the deviation between the virtual image model and the three-dimensional model. If a deviation occurs, the correction unit 3 issues an alarm, so that the staff can quickly understand the mold deviation. At the same time, when the correction unit 3 issues an alarm, the virtual image model is corrected and guided, and a self-inspection is performed after a correction method is formulated. After the self-inspection is qualified, it is displayed to the outside, so that the staff can refer to the correction method to adjust the position of the mold, thereby speeding up the workers to repair the mold.

[0065] The above shows and describes the basic principles, main features and advantages of the present invention. Those skilled in the art should understand that the present invention is not limited by the above embodiments. The above embodiments and descriptions are only preferred examples of the present invention and are not intended to limit the present invention. Without departing from the spirit and scope of the present invention, the present invention may have various changes and improvements, which fall within the scope of the present invention. The scope of protection of the present invention is defined by the attached claims and their equivalents.

Claims

1. A system for correcting errors in the installation of inserts of various specifications for automobile battery trays, characterized in that: It comprises an image recognition unit (1), a model comparison unit (2) and a correction unit (3); The image recognition unit (1) is used to control the cameras arranged around the battery mold to capture images of the fitting positions of the battery mold, and determine the actual position of the battery mold according to the captured image content; The model comparison unit (2) establishes a model of the battery mold and sets a specified moving track of the battery mold after the model is established. At the same time, the model comparison unit (2) imports the anchor point of the established mold into the image recognition unit (1) to help the image recognition unit (1) locate the battery mold. At the same time, the model comparison unit (2) determines the virtual image model according to the position determined by the image recognition unit (1), and compares the modeled mold model with the virtual image model. The correction unit (3) identifies the deviation between the virtual image model and the mold model based on the position comparison result of the model comparison unit (2), displays the deviation, and provides correction guidance based on the mold deviation, and performs self-inspection after the correction guidance.

2. The error-proofing and correction system for installing various specifications of inserts in a vehicle battery tray according to claim 1 is characterized in that: The image recognition unit (1) comprises an image capturing module (11), an anchor point recognition module (12) and a position determination module (13); The image shooting module (11) controls a plurality of cameras to shoot images of the positions where the battery molds are fitted, and at the same time a plurality of anchor points are set on the movable mold, so that when the cameras shoot, the anchor points on the movable mold are also captured in the image; The anchor point recognition module (12) recognizes the anchor point of the image captured by the camera, and determines the placement state of the mold with the help of the mold model established by the model comparison unit (2); The position determination module (13) determines the position of the mold based on the information of the image captured by the image capture module (11) and the state of the mold placement determined by the anchor point recognition module (12).

3. The error-proofing and correction system for installing various specifications of inserts in a vehicle battery tray according to claim 2 is characterized in that: The model comparison unit (2) comprises a mold modeling module (21); The mold modeling module (21) receives the data of the injection mold, and the mold modeling module (21) models the movable mold and the fixed mold into a three-dimensional model according to the received data of the injection mold, and establishes an anchor point position on the modeled model. At the same time, the established three-dimensional model is a model state in which the model is accurately embedded.

4. The error-proofing and correction system for installing various specifications of inserts in a vehicle battery tray according to claim 3 is characterized in that: When determining the placement state of the mold, the anchor point recognition module (12) receives the three-dimensional model of the mold modeled by the mold modeling module (21), and then determines the current placement state of the mold captured by the camera controlled by the image capture module (11) based on the anchor point position recognized by the anchor point recognition module (12) from the image capture module (11). At the same time, the position determination module (13) determines the position of the mold based on the placement state of the mold recognized by the anchor point recognition module (12).

5. The error-proofing and correction system for installing various specifications of inserts in a vehicle battery tray according to claim 3 is characterized in that: The model comparison unit (2) also includes a virtual image model positioning module (22); The virtual image model positioning module (22) is used to receive the actual mold position data determined by the position determination module (13) and the three-dimensional model of the mold established by the mold modeling module (21), and then establish the virtual image model with the help of the three-dimensional model of the mold and the actual position of the mold, and locate the position of the virtual image model after the virtual image model is established.

6. The error-proofing and correction system for installing various specifications of inserts in a vehicle battery tray according to claim 5 is characterized in that: The model comparison unit (2) further comprises a position comparison module (23); The position comparison module (23) compares the three-dimensional model established by the mold modeling module (21) and the virtual image model established by the virtual image model positioning module (22) to obtain the position difference between the two models, and also obtains the offset distance between the anchor point on the three-dimensional model and the anchor point on the virtual image model.

7. The error-proofing and correction system for installing various specifications of inserts in a vehicle battery tray according to claim 6 is characterized in that: The correction unit (3) comprises a deviation identification module (31); The deviation identification module (31) receives the three-dimensional model modeled by the mold modeling module (21) and the result of the comparison between the three-dimensional model and the virtual image model by the position comparison module (23), and determines whether a deviation occurs between the three-dimensional model and the virtual image model based on the comparison result, and displays and alarms after the deviation is identified.

8. The error-proofing and correction system for installing various specifications of inserts in a vehicle battery tray according to claim 7 is characterized in that: The method in which the deviation identification module (31) determines the deviation between the three-dimensional model and the virtual image model is as follows: ①, marking the anchor points on the three-dimensional model and the anchor points on the virtual image model, determining the corresponding anchor points on the three-dimensional model and the virtual image model, and marking the anchor points after determination, and recording the marks of the anchor points when the mold modeling module (21) and the virtual image model positioning module (22) are established to establish the three-dimensional model and the virtual image model; ② Determine the origin in the 3D model (the origin is a point on the 3D model of the fixed mold), then establish a spatial coordinate system based on the origin, and then mark the 3D spatial coordinates of the anchor points on the 3D model and the virtual image model according to the size ratio of the spatial coordinate system; ③, according to the three-dimensional space coordinates between the two corresponding anchor points on the three-dimensional model and the virtual image model, calculate the vector between the two coordinate points, whose direction is from the anchor point on the virtual image model to the anchor point direction of the three-dimensional model; ④. Calculate the vectors of several anchor points on the virtual image model and the three-dimensional model, and then determine whether there is a positional offset between the virtual image model and the three-dimensional model based on the size of each vector.

9. The error-proofing and correction system for installing various specifications of inserts in a vehicle battery tray according to claim 8, characterized in that: The correction unit (3) further comprises a correction guidance module (32) and a self-checking export module (33); The correction guidance module (32) receives the deviation information identified by the deviation identification module (31), obtains the vector data of the virtual image model and the plurality of anchor points on the three-dimensional model calculated by the deviation identification module (31), marks the range value of the deviation, and displays the position of the deviation, and corrects the direction of the virtual image model converted to the three-dimensional model according to the vector directions of the virtual image model and the plurality of anchor points on the three-dimensional model; wherein for each vector direction of the direction of the virtual image model converted to the three-dimensional model, each anchor point on the virtual image model moves in the direction of the corresponding vector, and the distance of the movement is the size of the corresponding vector; The self-check export module (33) performs a self-check on the correction method proposed by the correction guidance module (32), and compares the corrected virtual image model with the three-dimensional model during the self-check. After comparison in the position comparison module (23), the comparison result is transmitted to the deviation identification module (31), and the deviation identification module (31) performs deviation identification on the corrected virtual image model. If the corrected virtual image model and the three-dimensional model do not deviate, the correction result is exported and the correction guidance method is displayed by the correction guidance module (32).