Production management system and method for die castings of new energy vehicles

Abstract

The present invention belongs to the technical field of smart factories. A production management system and method for die-castings for new energy vehicles are provided. The method includes: obtaining a die-casting design drawing and a vehicle design drawing of a die-casting to be implemented for a new energy vehicle, and determining the regional position information of the die-casting design drawing in the vehicle design drawing; predicting the qualified difficulty of die-casting for the die-casting to be implemented according to the die-casting design drawing, the vehicle design drawing and the regional position information, and obtaining the predicted qualified difficulty value of die-casting; obtaining the corresponding number of trial die-castings according to the matching of the qualified difficulty value of die-casting, and controlling the die-casting machine to perform trial die-casting according to the die-casting design drawing to obtain the trial die-castings of the corresponding number of trial die-castings; performing quality inspection and analysis on each trial die-casting, and controlling the die-casting machine to perform formal die-casting according to the die-casting design drawing after the quality inspection is passed. The present invention can appropriately reduce the number of trial die-castings of die-castings in the trial die-casting process, reduce the loss of die-castings when the trial die-casting is unqualified, and reduce the production cost of the die-casting manufacturer.

Description

Technical Field

[0001] The present invention relates to the technical field of smart factories, and in particular to a production management system and method for die-casting parts for new energy vehicles. Background Art

[0002] New energy vehicle die castings are an important part of the lightweight, electrification and intelligent development of new energy vehicles. The die castings involved in the body-in-white of new energy vehicles mainly include engine compartment, floor, side panels, fenders, doors, etc.

[0003] The existing production management method is as follows: relevant personnel formulate design drawings of die-casting parts for new energy vehicles, and then send the design drawings to the corresponding die-casting machines. The die-casting machines die-cast steel plates according to the design drawings to obtain finished die-casting parts. In order to ensure that the quality of die-casting parts obtained by die-casting meets the standards, it is necessary to test-cast several die-casting parts in the early stage of die-casting, conduct quality inspection on the die-casting parts, and then control the die-casting machine to perform batch die-casting after the quality inspection is qualified. If the quality inspection is unqualified, the parameters of the die-casting machine are optimized and adjusted before test die-casting and batch die-casting.

[0004] However, the number of trial die castings in the above existing production management methods is determined based on experience and cannot be dynamically determined according to actual production tasks, resulting in the need to trial die cast a larger number of die castings for new energy vehicles during the trial die casting stage. If the trial die castings have quality problems, they need to be scrapped, which significantly increases production costs and is not economical for die casting manufacturers. The solution of the present invention is to improve this technical problem. Summary of the invention

[0005] In this regard, the present invention provides a production management method, system, electronic equipment, computer storage medium and computer program product for new energy vehicle die castings to solve the above-mentioned technical problems.

[0006] The invention discloses a production management method for die-castings for new energy vehicles, the method comprising the following steps: obtaining a die-casting design drawing and a vehicle design drawing of a die-casting part to be die-casted of a new energy vehicle, and determining the regional position information of the die-casting design drawing in the vehicle design drawing; predicting the qualified difficulty of die-casting for the die-casting part to be die-casted according to the die-casting design drawing, the vehicle design drawing and the regional position information, and obtaining a predicted qualified difficulty value of die-casting; obtaining a corresponding number of trial die-castings according to the matching of the qualified difficulty value of die-casting, controlling a die-casting machine to perform trial die-casting according to the die-casting design drawing, so as to obtain trial die-castings corresponding to the number of trial die-castings; performing quality inspection and analysis on each of the trial die-castings, and controlling the die-casting machine to perform formal die-casting according to the die-casting design drawing after the quality inspection is passed.

[0007] In some embodiments, the obtaining of die-casting design drawings and vehicle design drawings of die-casting parts to be implemented for new energy vehicles includes: receiving a die-casting design data packet of die-casting parts to be implemented for new energy vehicles, decompressing and content parsing the die-casting design data packet to obtain a number of the die-casting design drawings and the vehicle design drawings; extracting die-casting machine model information from additional information of each of the die-casting design drawings, and associating each of the die-casting design drawings with a corresponding idle die-casting machine according to the die-casting machine model information.

[0008] In some embodiments, determining the regional position information of the die-casting design drawing in the whole vehicle design drawing includes: at a certain visual angle, calculating the similarity between the die-casting design drawing and each local body area in the corresponding whole vehicle visual area, and determining the local body area with a similarity higher than a similarity threshold as a candidate area; taking the candidate area as a reference, multi-dimensionally adjusting the visual angle, and continuing to calculate the similarity between the die-casting design drawing and the candidate area in the corresponding whole vehicle visual area at each adjusted visual angle, and setting the matching cumulative value plus 1 when the similarity is higher than the similarity threshold; wherein the multi-dimensionally adjusted visual angle includes an internal viewing angle and an external viewing angle; if the matching cumulative value is greater than the cumulative threshold, the candidate area is determined as the regional position information of the die-casting design drawing in the whole vehicle design drawing.

[0009] In some embodiments, the method of predicting the qualified die-casting difficulty of the die-casting part to be implemented according to the die-casting design drawing, the whole vehicle design drawing and the regional location information to obtain a predicted qualified die-casting difficulty value includes: inputting the die-casting design drawing, the whole vehicle design drawing and the regional location information into a die-casting qualified difficulty prediction model to obtain a predicted first qualified die-casting difficulty value; wherein, the die-casting qualified difficulty prediction model is obtained by fine-tuning and training a large model; based on die-casting record data, the die-casting part to be implemented is matched with similar die-casting parts according to the die-casting design drawing to obtain a matching number, and an expansion weight is determined according to the matching number; wherein, the expansion weight is greater than 1; and the first qualified die-casting difficulty value is expanded to a second qualified die-casting difficulty value using the expansion weight, so as to obtain the qualified die-casting difficulty value.

[0010] In some embodiments, the die-casting design drawing, the whole vehicle design drawing and the regional position information are input into the die-casting qualified difficulty prediction model to obtain the predicted first die-casting qualified difficulty value, including: extracting the geometric structure information of the die-casting to be implemented from the die-casting design drawing, and evaluating the structural complexity according to the geometric structure information; determining the body structure criticality of each body area in the whole vehicle design drawing, and determining the body structure criticality of the die-casting to be implemented according to the regional position information; inputting the structural complexity and the body structure criticality into the die-casting qualified difficulty prediction model to obtain the predicted first die-casting qualified difficulty value.

[0011] In some embodiments, the quality inspection and analysis are performed on each of the trial die castings, and after the quality inspection is passed, the die casting machine is controlled to perform formal die casting according to the die casting design drawing, including: quality inspection and analysis are performed on each of the trial die castings to obtain die casting deviation data, and average deviation data is calculated based on each of the die casting deviation data; if each of the die casting deviation data is lower than a first deviation threshold, and the average deviation data is lower than a second deviation threshold, it is determined that the quality inspection has passed, and then the die casting machine is controlled to perform formal die casting according to the die casting design drawing.

[0012] The present invention also discloses a production management system for die-castings for new energy vehicles, the system comprising an acquisition module, a difficulty prediction module, a trial die-casting control module, and a formal die-casting control module; the die-casting design drawings and vehicle design drawings of the die-castings to be implemented for the new energy vehicles are acquired, and the regional position information of the die-casting design drawings in the vehicle design drawings is determined; the qualified die-casting difficulty of the die-castings to be implemented is predicted according to the die-casting design drawings, the vehicle design drawings and the regional position information, and a predicted qualified die-casting difficulty value is obtained; the corresponding trial die-casting quantity is obtained according to the matching of the qualified die-casting difficulty value, and the die-casting machine is controlled to perform trial die-casting according to the die-casting design drawings to obtain trial die-castings corresponding to the trial die-casting quantity; quality inspection and analysis are performed on each of the trial die-castings, and after the quality inspection is passed, the die-casting machine is controlled to perform formal die-casting according to the die-casting design drawings.

[0013] The present invention also discloses an electronic device, comprising: at least one processor, a memory, and a computer program stored in the memory and executable on the at least one processor, wherein the processor executes the computer program to implement any of the above methods.

[0014] The present invention also discloses a computer storage medium, wherein the computer-readable storage medium stores a computer program, and the computer program is executed by a processor to implement any of the above methods.

[0015] The present invention also discloses a computer program product, which implements any of the above methods when the computer program product is called and run by a processor of an electronic device.

[0016] The present invention predicts and analyzes the qualified die-casting difficulty values ​​of each die-casting part to be implemented in the new energy vehicle, and obtains the corresponding number of trial die-castings according to the predicted qualified die-casting difficulty values, and then controls the die-casting machine to perform trial die-casting according to the trial die-casting number. With such an arrangement, the number of trial die-castings of die-castings in the trial die-casting process can be appropriately reduced, the loss of die-castings when the trial die-casting fails can be reduced, and the production cost of the die-casting manufacturer can be reduced. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings required for use in the embodiments will be briefly introduced below. It should be understood that the following drawings only show certain embodiments of the present invention and therefore should not be regarded as limiting the scope. For ordinary technicians in this field, other related drawings can be obtained based on these drawings without paying creative work.

[0018] Figure 1 It is a flow chart of a production management method for die-casting parts for new energy vehicles disclosed in an embodiment of the present invention.

[0019] Figure 2 It is a schematic diagram of a process for determining regional position information of a die casting design drawing in a complete vehicle design drawing disclosed in an embodiment of the present invention.

[0020] Figure 3 It is a structural schematic diagram of a production management system for die-casting parts for new energy vehicles disclosed in an embodiment of the present invention. DETAILED DESCRIPTION

[0021] The following is a description of the implementation of the present application by specific specific embodiments. People familiar with the technology can easily understand other advantages and effects of the present application from the contents disclosed in this specification. Obviously, the described embodiments are part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in the field without creative work are within the scope of protection of the present application.

[0022] In addition, the technical features involved in the different embodiments of the present application described below can be combined with each other as long as they do not conflict with each other.

[0023] like Figure 1As shown, an embodiment of the present invention discloses a production management method for die-castings for new energy vehicles, and the method includes the following steps: obtaining a die-casting design drawing and a vehicle design drawing of a die-casting part to be die-casted of a new energy vehicle, and determining the regional position information of the die-casting design drawing in the vehicle design drawing; predicting the qualified die-casting difficulty of the die-casting part to be die-casted according to the die-casting design drawing, the vehicle design drawing and the regional position information, and obtaining a predicted qualified die-casting difficulty value; obtaining a corresponding number of trial die-castings according to the matching of the qualified die-casting difficulty values, and controlling a die-casting machine to perform trial die-casting according to the die-casting design drawing to obtain trial die-castings corresponding to the number of trial die-castings; performing quality inspection and analysis on each of the trial die-castings, and controlling the die-casting machine to perform formal die-casting according to the die-casting design drawing after the quality inspection is passed.

[0024] After the designers have formulated the die-casting design drawings of the die-casting parts to be implemented and the vehicle design drawings required for new energy vehicles, they submit the die-casting design drawings to the die-casting machine management system. The die-casting machine management system confirms the regional location information of the die-casting design drawings (i.e., the corresponding die-casting parts to be implemented) in the vehicle design drawings. Then, a comprehensive analysis is conducted on the die-casting design drawings, the vehicle design drawings, and the regional location information to obtain the die-casting qualification difficulty of the die-casting machine when die-casting the die-casting parts to be implemented. The higher the die-casting qualification difficulty, the greater the corresponding die-casting qualification difficulty value, and the lower the die-casting qualification difficulty, the smaller the corresponding die-casting qualification difficulty value. Then, the corresponding number of trial die-castings is obtained according to the matching of the die-casting qualification difficulty value. Obviously, the number of trial die-castings is positively correlated with the die-casting qualification difficulty value. The die-casting machine is controlled to perform trial die-casting according to the die-casting design drawings, that is, first die-cast the trial die-casting number of trial die-castings. Finally, the die-casting parts obtained by the trial die-casting are quality inspected and analyzed. If the quality inspection passes, it means that the die-casting machine can now meet the qualification requirements of the die-casting parts to be implemented, and formal batch die-casting can be carried out directly. Otherwise, the die-casting parameters of the die-casting machine need to be optimized and adjusted, such as the calibration of the die-casting parameters.

[0025] Therefore, the present invention predicts and analyzes the qualified die-casting difficulty values ​​of each die-casting part to be implemented in the new energy vehicle, and matches the corresponding number of trial die-castings according to the predicted qualified die-casting difficulty values, and then controls the die-casting machine to perform trial die-casting according to the number of trial die-castings. With such a setting, the number of trial die-castings of die-castings in the trial die-casting process can be appropriately reduced, the loss of die-castings when the trial die-casting fails can be reduced, and the production cost of the die-casting manufacturer can be reduced.

[0026] In some embodiments, the obtaining of die-casting design drawings and vehicle design drawings of die-casting parts to be implemented for new energy vehicles includes: receiving a die-casting design data packet of die-casting parts to be implemented for new energy vehicles, decompressing and content parsing the die-casting design data packet to obtain a number of the die-casting design drawings and the vehicle design drawings; extracting die-casting machine model information from additional information of each of the die-casting design drawings, and associating each of the die-casting design drawings with a corresponding idle die-casting machine according to the die-casting machine model information.

[0027] In this embodiment, after completing the design of the new energy vehicle, the designer will package the die-casting design drawings of each die-casting and the whole vehicle design drawings to obtain a die-casting design data package. After receiving the die-casting design data package, the die-casting machine management system first decompresses it, and then parses its content, that is, it obtains multiple die-casting design drawings and a whole vehicle design drawing. Each die-casting design drawing is also matched with die-casting machine model information, which is used to describe which type of die-casting machine is required to die-cast the die-casting design drawing. Based on this, the die-casting design drawing can be associated with the corresponding idle die-casting machine, and the associated die-casting machine can be controlled to perform die-casting production according to the die-casting design drawing.

[0028] In some embodiments, Figure 2 As shown, the determining of the regional position information of the die-casting design drawing in the whole vehicle design drawing includes: at a certain visual angle, calculating the similarity between the die-casting design drawing and each local body area in the corresponding whole vehicle visual area, and determining the local body area with a similarity higher than a similarity threshold as a candidate area; taking the candidate area as a reference, multi-dimensionally adjusting the visual angle, and at each adjusted visual angle, continuing to calculate the similarity between the die-casting design drawing and the candidate area in the corresponding whole vehicle visual area, and setting a matching cumulative value plus 1 when the similarity is higher than a similarity threshold; wherein the multi-dimensionally adjusted visual angle includes an inner viewing angle and an outer viewing angle; if the matching cumulative value is greater than the cumulative threshold, the candidate area is determined as the regional position information of the die-casting design drawing in the whole vehicle design drawing.

[0029] In this embodiment, the whole vehicle design drawing may not include the location identification information of the die-casting design drawing. In response to this technical problem, the die-casting machine management system of the present invention automatically calls the corresponding software to open the whole vehicle design drawing of the three-dimensional structure, and adjusts its visual angle in multiple dimensions. The adjusted visual angle includes both the internal and external viewing angles. Specifically, at each visual angle, there is a corresponding whole vehicle visual area in the software interface, and the similarity between the die-casting design drawing to be located and the geometric shape of each local body area contained therein is calculated, and the local body area with a similarity higher than the similarity threshold is determined as the candidate area of ​​the die-casting design drawing. Then, adjust to another visual angle. At this time, there is a new visual area of ​​the whole vehicle in the software interface. The corresponding area of ​​the candidate area in the new visual area of ​​the whole vehicle can be determined by converting the three-dimensional coordinates. This area is the visual area of ​​the candidate area at other angles (its visual shape in the visual area of ​​the whole vehicle will change). The similarity between the die-casting design drawing to be located and the visual area of ​​the candidate area at this visual angle is calculated in the same way. If the similarity is higher than the similarity threshold, the matching cumulative value is set to be added by 1 (the initial value of the matching cumulative value is 0). Repeating this process, the degree of high similarity between the candidate area and the die-casting design drawing at several visual angles can be obtained, that is, the size of the matching cumulative value. If the matching cumulative value is greater than the cumulative threshold, it means that the geometric shape of the die-casting in the die-casting design drawing of the candidate area is highly similar to that of the die-casting in many viewing angles. At this time, it can be determined that the candidate area is the regional position information of the die-casting design drawing in the whole vehicle design drawing.

[0030] It should be noted that the similarity thresholds mentioned above may be different. For example, when the candidate area is viewed vertically from above in the visible area of ​​the whole vehicle corresponding to a certain viewing angle, the corresponding similarity threshold is set to be the largest. When the candidate area is viewed obliquely from above in the visible area of ​​the whole vehicle, the image is deformed and the corresponding similarity threshold is set to be smaller. Moreover, since the degree of image deformation is positively correlated with the inclination, the size of the similarity threshold set at this time is negatively correlated with the inclination.

[0031] In some embodiments, the method of predicting the qualified die-casting difficulty of the die-casting part to be implemented according to the die-casting design drawing, the whole vehicle design drawing and the regional location information to obtain a predicted qualified die-casting difficulty value includes: inputting the die-casting design drawing, the whole vehicle design drawing and the regional location information into a die-casting qualified difficulty prediction model to obtain a predicted first qualified die-casting difficulty value; wherein, the die-casting qualified difficulty prediction model is obtained by fine-tuning and training a large model; based on die-casting record data, the die-casting part to be implemented is matched with similar die-casting parts according to the die-casting design drawing to obtain a matching number, and an expansion weight is determined according to the matching number; wherein, the expansion weight is greater than 1; and the first qualified die-casting difficulty value is expanded to a second qualified die-casting difficulty value using the expansion weight, so as to obtain the qualified die-casting difficulty value.

[0032] In this embodiment, the present invention obtains a die-casting qualified difficulty prediction model by fine-tuning the large model, and then the die-casting qualified difficulty prediction model integrates and analyzes the die-casting design drawings, vehicle design drawings and regional location information, and obtains a preliminary first die-casting qualified difficulty value. Among them, the large model refers to a general-purpose large model represented by the GPT series and the BERT series. This type of large model has been fully trained through frequent use by users, and can be adapted to almost all scenarios and technical fields. The present invention constructs a die-casting qualified difficulty prediction model based on a general-purpose large model, which can effectively reduce the workload of independently building and training models. When training the large model, only small sample-level training data is used, and each piece of training data includes a die-casting design drawing, a vehicle design drawing, regional location information and a die-casting qualified difficulty value as a data label.

[0033] At the same time, the first die-casting qualified difficulty value predicted by the die-casting qualified difficulty prediction model is most likely a critical value. Although the number of trial die-castings determined by the first die-casting qualified difficulty value can make the overall quality inspection conclusion of the trial die-casting obtained by the quality inspection analysis reflect the real die-casting capability of the die-casting machine, the use of the critical value is still not safe enough, and it is easy to cause the above-mentioned overall quality inspection conclusion (i.e., the relationship between the die-casting deviation data and the first deviation threshold, and the average deviation data and the second deviation threshold) to fail to reflect the real die-casting capability of the die-casting machine. For example, the quality inspection qualification is evaluated too high, resulting in the improper start of the formal die-casting of the die-casting machine, and the subsequent high unqualified rate will bring greater economic losses. In response to this problem, the present invention further performs similarity analysis on the die-casting design drawing and each pair of historical die-casting design drawings contained in the die-casting record data to obtain the number of successfully matched historical die-casting design drawings, i.e., the matching number. When the number of matches is larger, it means that the die-casting machine has implemented multiple die-casting production of this type of die-casting parts, which means that more optimization processes such as calibration and adjustment of die-casting parameters have been carried out, and the die-casting "capability" of the die-casting machine for this type of die-casting parts is higher. At this time, the expansion weight is set to a smaller value; and when the number of matches is smaller, it means that the die-casting machine has rarely implemented die-casting production of this type of die-casting parts, which means that fewer optimization processes such as calibration and adjustment of die-casting parameters have been carried out, or even no optimization processes have been carried out for die-casting parameters for this type of die-casting parts, and the die-casting "capability" is lower. At this time, the expansion weight is set to a larger value. Therefore, by using the expansion weight determined above, the first die-casting qualified difficulty value predicted by the die-casting qualified difficulty prediction model can be appropriately expanded to a larger second die-casting qualified difficulty value, and the second die-casting qualified difficulty value is used as the final die-casting qualified difficulty value.

[0034] In some embodiments, the die-casting design drawing, the whole vehicle design drawing and the regional position information are input into the die-casting qualified difficulty prediction model to obtain the predicted first die-casting qualified difficulty value, including: extracting the geometric structure information of the die-casting to be implemented from the die-casting design drawing, and evaluating the structural complexity according to the geometric structure information; determining the body structure criticality of each body area in the whole vehicle design drawing, and determining the body structure criticality of the die-casting to be implemented according to the regional position information; inputting the structural complexity and the body structure criticality into the die-casting qualified difficulty prediction model to obtain the predicted first die-casting qualified difficulty value.

[0035] In this embodiment, if the die casting design drawing, the whole vehicle design drawing and the regional position information are directly input into the die casting qualified difficulty prediction model, the die casting qualified difficulty prediction model needs to perform feature extraction, which will increase its prediction difficulty and reduce the prediction efficiency. In this regard, the present invention first extracts the geometric structure information of the die casting to be implemented from the die casting design drawing, and the structural complexity of the die casting to be implemented can be evaluated according to the geometric structure information. The structural complexity is related to factors such as the number and length of the curve lines, the number of hollow areas, and the number of protrusions / pits. Generally speaking, the more the number and length of the curve lines, the more the number of hollow areas, and the more the number of protrusions / pits, the higher the structural complexity, and vice versa. The criticality of the body structure of each body area in the whole vehicle design drawing can also be determined from the whole vehicle design drawing, and each area is directly calibrated in the whole vehicle design drawing, or additional information is added to the whole vehicle design drawing, such as the criticality of the body structure of the engine compartment in the body structure will be higher than the door, front cover, and trunk cover. Therefore, the criticality of the body structure of the to-be-die-cast part can be determined based on the regional position information of the to-be-die-cast part in the whole vehicle design drawing.

[0036] At this time, the die-casting qualified difficulty prediction model performs a comprehensive processing on the structural complexity and the criticality of the body structure to predict the first die-casting qualified difficulty value. Among them, the structural complexity and the die-casting qualified difficulty are obviously positively correlated, and the body structure criticality and the die-casting qualified difficulty are also obviously positively correlated. The trained die-casting qualified difficulty prediction model can predict a die-casting qualified difficulty value with a higher confidence level based on the determined structural complexity and body structure criticality. Correspondingly, the training data at this time may include structural complexity, body structure criticality and die-casting qualified difficulty value as data labels.

[0037] In some embodiments, the quality inspection and analysis are performed on each of the trial die castings, and after the quality inspection is passed, the die casting machine is controlled to perform formal die casting according to the die casting design drawing, including: quality inspection and analysis are performed on each of the trial die castings to obtain die casting deviation data, and average deviation data is calculated based on each of the die casting deviation data; if each of the die casting deviation data is lower than a first deviation threshold, and the average deviation data is lower than a second deviation threshold, it is determined that the quality inspection has passed, and then the die casting machine is controlled to perform formal die casting according to the die casting design drawing.

[0038] In this embodiment, after the trial die casting is completed, the number of trial die castings is obtained, and the measured dimensional data of each trial die casting is compared with the dimensional data in the die casting design drawing according to the quality inspection standard to obtain the die casting deviation data, and then the average value of each die casting deviation data is calculated to obtain the average deviation data. If each die casting deviation data is lower than the first deviation threshold, and the average deviation data is lower than the second deviation threshold, it is determined that the quality inspection has passed, that is, the trial die casting of the die casting machine has passed, and no calibration or other optimization processing is required, and then the die casting machine is controlled to perform formal die casting according to the die casting design drawing.

[0039] The first deviation threshold is smaller than the second deviation threshold.

[0040] like Figure 3 As shown, an embodiment of the present invention also discloses a production management system for die-castings for new energy vehicles, the system comprising an acquisition module, a difficulty prediction module, a trial die-casting control module, and a formal die-casting control module; the die-casting design drawing and the vehicle design drawing of the die-casting parts to be implemented of the new energy vehicle are acquired, and the regional position information of the die-casting design drawing in the vehicle design drawing is determined; the qualified difficulty of die-casting of the die-casting parts to be implemented is predicted according to the die-casting design drawing, the vehicle design drawing and the regional position information, and a predicted qualified difficulty value of die-casting is obtained; the corresponding number of trial die-castings is obtained according to the matching of the qualified difficulty value of die-casting, and the die-casting machine is controlled to perform trial die-casting according to the die-casting design drawing to obtain trial die-castings corresponding to the number of trial die-castings; quality inspection and analysis are performed on each of the trial die-castings, and after the quality inspection is passed, the die-casting machine is controlled to perform formal die-casting according to the die-casting design drawing.

[0041] An embodiment of the present invention further discloses an electronic device, comprising: at least one processor, a memory, and a computer program stored in the memory and executable on the at least one processor, wherein the processor executes the computer program to implement the method described in the above embodiment.

[0042] An embodiment of the present invention further discloses a computer storage medium, wherein the computer storage medium stores a computer program, and the computer program is executed by a processor to implement the method described in the above embodiment.

[0043] The embodiment of the present invention further discloses a computer program product. When the computer program product is called and executed by a processor of an electronic device, the method described in the above embodiment is implemented.

[0044] The various component embodiments of the present invention can be implemented in hardware, or in software modules running on one or more processors, or in a combination thereof. It should be understood by those skilled in the art that a microprocessor or digital signal processor (DSP) can be used in practice to implement some or all functions of some or all components in the device according to an embodiment of the present invention. The present invention can also be implemented as a device or apparatus program (e.g., computer program and computer program product) for executing part or all of the methods described herein. Such a program implementing the present invention can be stored on a computer-readable medium, or can have the form of one or more signals. Such a signal can be downloaded from an Internet website, or provided on a carrier signal, or provided in any other form.

[0045] References herein to "one embodiment," "embodiment," or "one or more embodiments" mean that a particular feature, structure, or characteristic described in conjunction with the embodiment is included in at least one embodiment of the present invention. In addition, please note that examples of the term "in one embodiment" do not necessarily all refer to the same embodiment.

[0046] In the description provided herein, a large number of specific details are described. However, it is understood that embodiments of the present invention can be practiced without these specific details. In some instances, well-known methods, structures and techniques are not shown in detail so as not to obscure the understanding of this description.

[0047] It should be noted that the above embodiments illustrate the present invention rather than limit it, and that those skilled in the art may devise alternative embodiments without departing from the scope of the appended claims. In the claims, any reference symbol between brackets shall not be construed as a limitation on the claims. The word "comprising" does not exclude the presence of elements or steps not listed in the claims. The word "one" or "an" preceding an element does not exclude the presence of a plurality of such elements. The present invention may be implemented by means of hardware comprising a number of different elements and by means of a suitably programmed computer. In a unit claim enumerating a number of devices, several of these devices may be embodied by the same hardware item. The use of the words first, second, and third, etc., does not indicate any order. These words may be interpreted as names.

[0048] In addition, it should be noted that the language used in this specification is selected primarily for readability and teaching purposes, rather than for explaining or limiting the subject matter of the present invention. Therefore, many modifications and variations will be apparent to those of ordinary skill in the art without departing from the scope and spirit of the appended claims. The disclosure of the present invention is illustrative rather than restrictive with respect to the scope of the present invention, and the scope of the present invention is defined by the appended claims.

Claims

1. A production management method for die castings of new energy vehicles, characterized in that: The method comprises the following steps: obtaining a die-casting design drawing and a vehicle design drawing of a die-casting part to be implemented for a new energy vehicle, and determining the regional position information of the die-casting design drawing in the vehicle design drawing; predicting the pass difficulty of die-casting of the die-casting part to be implemented according to the die-casting design drawing, the vehicle design drawing and the regional position information, and obtaining a predicted pass difficulty value of die-casting; obtaining a corresponding number of trial die-castings according to the pass difficulty value of die-casting, and controlling a die-casting machine to perform trial die-casting according to the die-casting design drawing, so as to obtain trial die-castings corresponding to the number of trial die-castings; Performing quality inspection and analysis on each of the trial die castings, and controlling the die casting machine to perform formal die casting according to the die casting design drawing after passing the quality inspection; Predicting the qualified die-casting difficulty of the die-casting part to be implemented according to the die-casting design drawing, the whole vehicle design drawing and the regional location information to obtain a predicted qualified die-casting difficulty value, including: inputting the die-casting design drawing, the whole vehicle design drawing and the regional location information into a die-casting qualified difficulty prediction model to obtain a predicted first qualified die-casting difficulty value; wherein, the qualified die-casting difficulty prediction model is obtained by fine-tuning and training a large model; based on die-casting record data, performing a matching analysis of similar die-casting parts on the die-casting part to be implemented according to the die-casting design drawing to obtain a matching number, and determining an expansion weight according to the matching number; wherein, the expansion weight is greater than 1; using the expansion weight to expand the first qualified die-casting difficulty value to a second qualified die-casting difficulty value, so as to obtain the qualified die-casting difficulty value.

2. The production management method of a new energy vehicle die casting according to claim 1 is characterized in that: Obtain die-casting design drawings and vehicle design drawings of die-casting parts to be implemented for new energy vehicles, including: receiving die-casting design data packets of die-casting parts to be implemented for new energy vehicles, decompressing and parsing the die-casting design data packets to obtain a number of die-casting design drawings and vehicle design drawings; extracting die-casting machine model information from additional information of each die-casting design drawing, and associating each die-casting design drawing with a corresponding idle die-casting machine according to the die-casting machine model information.

3. The production management method of a new energy vehicle die casting according to claim 2 is characterized in that: Determining the regional position information of the die-casting design drawing in the whole vehicle design drawing includes: at a certain visual angle, calculating the similarity between the die-casting design drawing and each local body area in the corresponding visual area of ​​the whole vehicle, and determining the local body area with a similarity higher than a similarity threshold as a candidate area; taking the candidate area as a reference, multi-dimensionally adjusting the visual angle, and at each adjusted visual angle, continuing to calculate the similarity between the die-casting design drawing and the candidate area in the corresponding visual area of ​​the whole vehicle, and setting a matching cumulative value plus 1 when the similarity is higher than the similarity threshold; wherein the multi-dimensionally adjusted visual angle includes an inner viewing angle and an outer viewing angle; if the matching cumulative value is greater than the cumulative threshold, determining the candidate area as the regional position information of the die-casting design drawing in the whole vehicle design drawing.

4. The production management method of a new energy vehicle die casting according to claim 1 is characterized in that: The die-casting design drawing, the whole vehicle design drawing and the regional position information are input into the die-casting qualified difficulty prediction model to obtain the predicted first die-casting qualified difficulty value, including: extracting the geometric structure information of the die-casting to be implemented from the die-casting design drawing, and evaluating the structural complexity according to the geometric structure information; determining the body structure criticality of each body area in the whole vehicle design drawing, and determining the body structure criticality of the die-casting to be implemented according to the regional position information; inputting the structural complexity and the body structure criticality into the die-casting qualified difficulty prediction model to obtain the predicted first die-casting qualified difficulty value.

5. The production management method of a new energy vehicle die casting according to claim 4 is characterized in that: A quality inspection and analysis is performed on each of the trial die castings, and after the quality inspection is passed, the die casting machine is controlled to perform formal die casting according to the die casting design drawing, including: a quality inspection and analysis is performed on each of the trial die castings to obtain die casting deviation data, and average deviation data is calculated based on each of the die casting deviation data; if each of the die casting deviation data is lower than a first deviation threshold, and the average deviation data is lower than a second deviation threshold, it is determined that the quality inspection has passed, and then the die casting machine is controlled to perform formal die casting according to the die casting design drawing.

6. A production management system for die castings of new energy vehicles, characterized by: The system includes an acquisition module, a difficulty prediction module, a trial die-casting control module, and a formal die-casting control module; the die-casting design drawing and the vehicle design drawing of the die-casting part to be implemented of the new energy vehicle are acquired, and the regional position information of the die-casting design drawing in the vehicle design drawing is determined; the qualified die-casting difficulty of the die-casting part to be implemented is predicted according to the die-casting design drawing, the vehicle design drawing and the regional position information, and the predicted qualified die-casting difficulty value is obtained; the corresponding trial die-casting quantity is obtained according to the matching of the qualified die-casting difficulty value, and the die-casting machine is controlled to perform trial die-casting according to the die-casting design drawing to obtain trial die-casting parts corresponding to the trial die-casting quantity; Performing quality inspection and analysis on each of the trial die castings, and controlling the die casting machine to perform formal die casting according to the die casting design drawing after passing the quality inspection; Predicting the qualified die-casting difficulty of the die-casting part to be implemented according to the die-casting design drawing, the whole vehicle design drawing and the regional location information to obtain a predicted qualified die-casting difficulty value, including: inputting the die-casting design drawing, the whole vehicle design drawing and the regional location information into a die-casting qualified difficulty prediction model to obtain a predicted first qualified die-casting difficulty value; wherein, the qualified die-casting difficulty prediction model is obtained by fine-tuning and training a large model; based on die-casting record data, performing a matching analysis of similar die-casting parts on the die-casting part to be implemented according to the die-casting design drawing to obtain a matching number, and determining an expansion weight according to the matching number; wherein, the expansion weight is greater than 1; using the expansion weight to expand the first qualified die-casting difficulty value to a second qualified die-casting difficulty value, so as to obtain the qualified die-casting difficulty value.

7. An electronic device comprising: At least one processor, a memory, and a computer program stored in the memory and executable on the at least one processor, wherein the processor executes the computer program to implement the method according to any one of claims 1 to 5.

8. A computer storage medium storing a computer program, characterized in that: The computer program is executed by a processor to implement the method according to any one of claims 1 to 5.

9. A computer program product, characterized in that: When the computer program product is called and executed by a processor of an electronic device, the method according to any one of claims 1 to 5 is implemented.

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