CN112016153A

CN112016153A - Method and device for determining quantized result of vehicle appearance and computer equipment

Info

Publication number: CN112016153A
Application number: CN201910392433.9A
Authority: CN
Inventors: 刘毓春; 黄金秋; 张少雄; 杨建�; 刘艳兵
Original assignee: Guangzhou Automobile Group Co Ltd
Current assignee: Guangzhou Automobile Group Co Ltd
Priority date: 2019-05-13
Filing date: 2019-05-13
Publication date: 2020-12-01

Abstract

The application relates to a method and a device for determining a quantification result of vehicle appearance and computer equipment. The method comprises the following steps: determining a target position set according to the product definition of the vehicle to be evaluated; obtaining the DTS mean value of the size technical specification of each target position; determining a complete DTS quantitative value of the vehicle to be evaluated according to the DTS mean value of each target position and a preset quantitative model; the quantitative model is a model containing the mutual relation among the DTS mean value of a plurality of positions, the compensation coefficient and the DTS quantitative value of the whole vehicle. By adopting the method, the computer equipment can enable the appearance evaluation of the vehicle to be more comprehensive and reasonable, and the intuitiveness and the accuracy of the appearance evaluation of the vehicle are greatly improved. In addition, the DTS quantitative value of the whole vehicle to be evaluated is reasonably corrected, so that the determined DTS quantitative value of the whole vehicle is more matched with the visual effect of human eyes, and the accuracy of appearance evaluation of the vehicle to be evaluated is enhanced.

Description

Method and device for determining quantized result of vehicle appearance and computer equipment

Technical Field

The present application relates to the field of automobile manufacturing technologies, and in particular, to a method and an apparatus for determining a quantized result of a vehicle appearance, and a computer device.

Background

With the development of the automobile manufacturing level, people have higher and higher requirements on the appearance of the automobile, and the delicacy of the appearance of the automobile is higher and higher.

In order to ensure that the designed vehicle appearance meets the precision requirement of production and manufacturing, in the vehicle design stage, a designer needs to evaluate the vehicle appearance of the designed vehicle type so as to estimate in advance whether the design requirement of the design vehicle type can meet the appearance of the designed vehicle type. Generally, the level of manufacturing capability of a Dimensional Technical Specification (DTS) is used to determine whether the appearance of a vehicle can meet design requirements. At present, the DTS values of different positions of the vehicle appearance are measured, so as to quantitatively evaluate the quality of the appearance of different positions.

However, the conventional method for quantitatively evaluating the appearance of the vehicle only quantitatively evaluates the quality of the appearance of different positions of the vehicle, and the evaluation result is relatively inaccurate for evaluating the manufacturing capability level of the appearance of the whole vehicle.

Disclosure of Invention

In view of the above, it is necessary to provide a method, an apparatus, and a computer device for determining a quantified result of a vehicle appearance, which can more comprehensively and accurately evaluate the manufacturing capability level of the entire vehicle appearance.

In a first aspect, an embodiment of the present application provides a method for determining a quantification result of a vehicle appearance, where the method includes:

determining a target position set according to the product definition of the vehicle to be evaluated; the set of target locations includes at least one target location of the appearance of the vehicle to be evaluated;

obtaining the DTS mean value of the size technical specification of each target position;

determining a complete DTS quantitative value of the vehicle to be evaluated according to the DTS mean value of each target position and a preset quantitative model; the quantitative model is a model containing the mutual relation among the DTS mean value of a plurality of positions, the compensation coefficient and the DTS quantitative value of the whole vehicle.

In one embodiment, the quantitative model further includes a preset scoring interval, and the method further includes:

inquiring the grading interval where the complete vehicle DTS quantitative value of the vehicle to be evaluated is located;

and acquiring the DTS grade of the whole vehicle to be evaluated, which is matched with the grading interval.

In one embodiment, before the querying the scoring interval where the vehicle DTS quantitative value of the vehicle to be evaluated is located, the method includes:

obtaining a sample position set; the set of sample locations comprises a plurality of sample locations of an appearance of a sample vehicle, the type of sample locations being no less than the type of target locations;

obtaining a DTS mean value of each sample position;

and acquiring the distribution of the DTS average value of each sample position according to the type of the sample position to which each sample position belongs to obtain the grading interval.

In one embodiment, the scoring intervals include an optimal subinterval, a most common subinterval, and a laggard subinterval; the optimal subinterval, the most common subinterval, and the laggard subinterval each include two or more sub-levels.

In one embodiment, the obtaining of the vehicle DTS grade of the vehicle to be evaluated, which is matched with the score interval, includes:

if the DTS quantitative value of the whole vehicle of the vehicle to be evaluated is smaller than the minimum threshold value of the optimal subinterval, determining the DTS grade of the whole vehicle of the vehicle to be evaluated according to the minimum threshold value in the optimal subinterval;

if the DTS quantized value of the whole vehicle of the vehicle to be evaluated is larger than the maximum threshold value of the lagging subinterval, determining the DTS grade of the whole vehicle of the vehicle to be evaluated according to the maximum threshold value in the lagging subinterval;

and if the complete vehicle DTS quantitative value of the vehicle to be evaluated is greater than or equal to the minimum threshold of the optimal subinterval and less than or equal to the maximum threshold of the lagging subinterval, determining the complete vehicle DTS grade of the vehicle to be evaluated according to the grading interval in which the complete vehicle DTS quantitative value of the vehicle to be evaluated is positioned.

In one embodiment, the method further comprises:

determining the shape and position of the benchmarking vehicle according to the target position set, wherein the shape and position comprises a position which is consistent with the target position type in the appearance of the benchmarking vehicle;

obtaining the DTS mean value of the shape and position;

determining a complete vehicle DTS quantized value of the calibration vehicle according to the DTS mean value of each shape and position and the quantization model;

and adjusting the size of the appearance of the vehicle to be evaluated and/or the compensation coefficient according to the relation between the DTS quantized value of the whole vehicle of the benchmarking vehicle and the DTS quantized value of the whole vehicle of the vehicle to be evaluated.

In one embodiment, the determining the size of the appearance of the vehicle to be evaluated and/or the compensation coefficient according to the relationship between the vehicle DTS quantized value of the benchmarking vehicle and the vehicle DTS quantized value of the vehicle to be evaluated includes:

if the DTS quantitative value of the whole vehicle of the vehicle to be evaluated is smaller than or equal to the DTS quantitative value of the standard vehicle, determining the size of the appearance corresponding to the DTS quantitative value of the whole vehicle of the vehicle to be evaluated as a target design result;

if the complete vehicle DTS quantitative value of the vehicle to be evaluated is larger than the complete vehicle DTS quantitative value of the calibration target vehicle, adjusting the size of the appearance of the vehicle to be evaluated and/or the compensation coefficient until the complete vehicle DTS quantitative value of the vehicle to be evaluated is smaller than or equal to the complete vehicle DTS quantitative value of the calibration target vehicle, taking the adjusted size of the appearance of the vehicle to be evaluated as the target design result, and/or updating the quantitative model according to the adjusted compensation coefficient.

In one embodiment, the determining a set of target locations according to a product definition of a vehicle to be evaluated includes:

and determining the target position set corresponding to the product definition according to a first corresponding relation between a preset product definition and each candidate position set.

In one embodiment, before determining the vehicle DTS quantized value of the vehicle to be evaluated according to the DTS mean value of each target position and a preset quantization model, the method includes:

determining a target compensation coefficient corresponding to the product definition according to a preset second corresponding relation between the product definition and the compensation coefficient;

and activating the quantization model according to the target compensation coefficient.

In one embodiment, the compensation factor comprises: at least one of design-like forward compensation, manufacturing-like reverse compensation, and vision-like bidirectional compensation;

the design class forward compensation comprises the following steps: at least one of a modeling compensation, a fit relation compensation, and a visual compensation effect;

the manufacturing-like reverse compensation includes: at least one of parallelism range compensation, symmetry range compensation, and median shift compensation;

the vision-based bidirectional compensation comprises: at least one of visual parting line exposure compensation, cuff over length/over length compensation, and visual clearance compensation.

In one embodiment, the determining a complete vehicle DTS quantized value of the vehicle to be evaluated according to the DTS mean value of each target position and a preset quantization model includes:

respectively multiplying the DTS mean value of each target position by the corresponding compensation coefficient to obtain the DTS score of each target position;

and determining the complete vehicle DTS quantitative value of the vehicle to be evaluated according to the sum of the DTS scores of each target position.

In a second aspect, an embodiment of the present application provides an apparatus for determining a quantification result of a vehicle appearance, the apparatus including:

the determining module is used for determining a target position set according to the product definition of the vehicle to be evaluated; the set of target locations includes at least one target location of the appearance of the vehicle to be evaluated;

the acquisition module is used for acquiring the DTS mean value of the size technical specification of each target position;

the processing module is used for determining a complete vehicle DTS quantitative value of the vehicle to be evaluated according to the DTS mean value of each target position and a preset quantitative model; the quantitative model is a model containing the mutual relation among the DTS mean value of a plurality of positions, the compensation coefficient and the DTS quantitative value of the whole vehicle.

In a third aspect, an embodiment of the present application provides a computer device, including a memory and a processor, where the memory stores a computer program, and the processor implements the following steps when executing the computer program:

According to the method, the device and the computer equipment for determining the quantization result of the vehicle appearance, the computer equipment determines the target position set according to the product definition of the vehicle to be evaluated, obtains the DTS mean value of each target position in the target position set, and then determines the complete vehicle DTS quantization value of the vehicle to be evaluated according to the DTS mean value of each target position and a preset quantization model. The target position set comprises at least one target position of the appearance of the vehicle to be evaluated, and the quantitative model is a model containing the mutual relation among DTS mean values, compensation coefficients and the DTS quantitative values of the whole vehicle of a plurality of positions, so that by adopting the method, the computer equipment can output the DTS quantitative values of the whole vehicle of the vehicle to be evaluated defined by different products by adopting the quantitative model, and the DTS quantitative values of the whole vehicle of the vehicle to be evaluated realize quantitative representation of the precision which can be achieved by the manufacturing capability of the vehicle to be evaluated from the whole appearance of the vehicle. In addition, due to the fact that the compensation coefficient is introduced into the quantitative model, the compensation coefficient can compensate DTS mean values at different positions based on the effect of human vision, the DTS quantitative value of the whole vehicle of the vehicle to be evaluated is reasonably corrected, the determined DTS quantitative value of the whole vehicle is matched with the effect of the human vision, and the accuracy of appearance evaluation of the vehicle to be evaluated is further improved.

Drawings

FIG. 1 is a diagram illustrating an internal structure of a computer device according to an embodiment;

FIG. 2 is a flow diagram illustrating a method for quantifying vehicle appearance determination, according to one embodiment;

FIG. 3 is a flow chart illustrating a method for quantifying vehicle appearance determination according to another embodiment;

FIG. 4 is a flow chart illustrating a method for quantifying vehicle appearance determination according to yet another embodiment;

FIG. 5 is a flow chart illustrating a method for quantifying vehicle appearance according to yet another embodiment;

FIG. 6 is a flow chart illustrating a method for quantifying vehicle appearance according to yet another embodiment;

fig. 7 is a flowchart illustrating a method for quantifying an appearance of a vehicle according to yet another embodiment;

fig. 8 is a flowchart illustrating a method for quantifying an appearance of a vehicle according to yet another embodiment;

fig. 9 is a schematic structural diagram of a device for determining a quantized result of an appearance of a vehicle according to an embodiment.

Detailed Description

In order to make the objects, technical solutions and advantages of the present application more apparent, the present application is described in further detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the present application and are not intended to limit the present application.

The method for determining the quantization result of the vehicle appearance provided by the embodiment of the application can be applied to the computer equipment shown in fig. 1. The computer device comprises a processor, a memory, a network interface, a database, a display screen and an input device which are connected through a system bus. Wherein the processor of the computer device is configured to provide computing and control capabilities. The memory of the computer device comprises a nonvolatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, a computer program, and a database. The internal memory provides an environment for the operation of an operating system and computer programs in the non-volatile storage medium. The database of the computer device is used for storing the quantization models in the following embodiments, and the detailed description of the quantization models refers to the detailed description in the following embodiments. The network interface of the computer device may be used to communicate with other devices outside over a network connection. Optionally, the computer device may be a server, a desktop, a personal digital assistant, other terminal devices such as a tablet computer, a mobile phone, and the like, or a cloud or a remote server, and the specific form of the computer device is not limited in the embodiment of the present application. The display screen of the computer equipment can be a liquid crystal display screen or an electronic ink display screen, and the input device of the computer equipment can be a touch layer covered on the display screen, a key, a track ball or a touch pad arranged on the shell of the computer equipment, an external keyboard, a touch pad or a mouse and the like. Of course, the input device and the display screen may not belong to a part of the computer device, and may be external devices of the computer device.

Those skilled in the art will appreciate that the architecture shown in fig. 1 is merely a block diagram of some of the structures associated with the disclosed aspects and is not intended to limit the computing devices to which the disclosed aspects apply, as particular computing devices may include more or less components than those shown, or may combine certain components, or have a different arrangement of components.

The following describes the technical solutions of the present application and how to solve the above technical problems with specific examples. The following several specific embodiments may be combined with each other, and details of the same or similar concepts or processes may not be repeated in some embodiments. Embodiments of the present application will be described below with reference to the accompanying drawings.

It should be noted that the execution subject of the method embodiments described below may be a device for determining the quantized result of the vehicle appearance, which may be implemented by software, hardware or a combination of software and hardware as part or all of the computer device described above. The following method embodiments are described by taking the execution subject as the computer device as an example.

Fig. 2 is a flowchart illustrating a method for determining a quantized result of a vehicle appearance according to an embodiment. The embodiment relates to a specific process for quantitatively evaluating the appearance of a vehicle to be evaluated by adopting a preset quantitative model through a computer device. As shown in fig. 2, includes:

s101, determining a target position set according to product definition of a vehicle to be evaluated; the set of target locations includes at least one target location of the appearance of the vehicle to be evaluated.

Specifically, the computer device may obtain product definitions of the vehicle to be evaluated, where the product definitions are capable of characterizing manufacturing requirements that the vehicle appearance needs to meet, each product definition corresponds to a different appearance manufacturing requirement, each appearance manufacturing requirement needs to pay attention to the appearance of a different location, the different locations are used as target locations to form a target location set, and each target location set includes one or more target locations. For example, the product definition may include: luxury vehicle models, high-end vehicle models, popular vehicle models, economic vehicle models and the like, wherein the products are defined as target position sets needing attention of the luxury vehicle models, and comprise a front cover, a front bar, fender plates on two sides, exhaust holes and the like of the vehicle; the product is defined as a target position set which needs attention of the popular vehicle type, including a front cover, a front bar, two-side fender and the like of the vehicle, and the exhaust holes can be not concerned. Of course, the product definition may also include more kinds, and this embodiment is not limited thereto. Therefore, the computer device may determine the corresponding target position set according to the product definition of the vehicle to be evaluated, and optionally, the target position set may include one or more target positions. The vehicle to be evaluated may be a vehicle in a development stage, or may be another vehicle that needs to perform the DTS quantitative value evaluation of the entire vehicle, which is not limited in this embodiment.

And S102, obtaining the DTS mean value of each target position.

Specifically, the computer device may perform statistics on target positions included in the determined target position set according to the size and shape to obtain a DTS mean value of each target position. The DTS mean for each target site can characterize the accuracy to which the site can be manufactured, which can reflect how good the site looks. For example, when the DTS mean value of a certain target position is small, it can represent that the manufacturing accuracy deviation of the target position is small, and the accuracy is high; on the contrary, if the DTS average value of a certain target position is large, it can indicate that the manufacturing accuracy deviation of the target position is large, and the accuracy is low.

S103, determining a complete DTS quantitative value of the vehicle to be evaluated according to the DTS mean value of each target position and a preset quantitative model; the quantitative model is a model containing the mutual relation among the DTS mean value of a plurality of positions, the compensation coefficient and the DTS quantitative value of the whole vehicle.

Specifically, the computer device inputs the DTS mean value of each target position into a preset quantization model, and the quantization model includes the DTS mean values of a plurality of positions, the compensation coefficients, and the DTS quantized values of the entire vehicle, for example, the quantization model may be a relational expression of the DTS mean values of the plurality of positions, the compensation coefficients, and the DTS quantized values of the entire vehicle. Therefore, the quantitative model can output the complete vehicle DTS quantitative value of the vehicle to be evaluated according to the mutual relation of the three. The DTS quantized value of the whole vehicle can represent the accuracy of the manufacturing capability of the whole vehicle appearance of the vehicle to be evaluated. It should be noted that the compensation coefficient is a parameter for correcting the DTS mean value of each target position according to the characteristics of the position and the manufacturing capability of each target position, and may include various types of compensation coefficients, for example, forward compensation, that is, optimizing the DTS mean value, reverse compensation, that is, deteriorating the DTS mean value, and forward and reverse bidirectional compensation, where each compensation coefficient performs compensation in different directions on the DTS mean values of different positions, and then the relationship between the DTS mean value of each target position and the DTS quantized value of the entire vehicle, specifically, the DTS mean value of each target position is considered in combination according to the degree of influence of the DTS mean value on the appearance of the entire vehicle, for example, the occupied weight, so as to determine the result of the DTS quantized value of the entire vehicle.

In this embodiment, the computer device determines a target position set according to a product definition of a vehicle to be evaluated, obtains a DTS mean value of each target position in the target position set, and determines a complete vehicle DTS quantization value of the vehicle to be evaluated according to the DTS mean value of each target position and a preset quantization model. The target position set comprises at least one target position of the appearance of the vehicle to be evaluated, and the quantitative model is a model containing the mutual relation among the DTS mean value of a plurality of positions, the compensation coefficient and the DTS quantitative value of the whole vehicle. Therefore, by adopting the method, the computer equipment can output the complete vehicle DTS quantized value of the vehicle to be evaluated defined by different products by adopting the quantization model, and the complete vehicle DTS quantized value of the vehicle to be evaluated realizes the quantized representation of the precision which can be achieved by the manufacturing capability of the vehicle to be evaluated from the overall appearance of the vehicle. In addition, due to the fact that the compensation coefficient is introduced into the quantitative model, the compensation coefficient can compensate DTS mean values at different positions based on the effect of human vision, the DTS quantitative value of the whole vehicle of the vehicle to be evaluated is reasonably corrected, the determined DTS quantitative value of the whole vehicle is matched with the effect of the human vision, and the accuracy of appearance evaluation of the vehicle to be evaluated is further improved.

Optionally, on the basis of the foregoing embodiment, the quantitative model further includes a preset scoring interval, and after S103 in the foregoing method, as shown in fig. 3, the method further includes:

s201, inquiring the grading interval where the complete vehicle DTS quantitative value of the vehicle to be evaluated is located.

Specifically, the computer device may query a preset scoring interval according to the vehicle DTS quantized value, so as to determine that the vehicle DTS quantized value of the vehicle to be evaluated is in the scoring interval. Optionally, the scoring interval is an interval in which the DTS quantized value of the entire vehicle is divided according to industry level or industry habit, and may be a preset scoring interval or a scoring interval obtained by summarizing and dividing according to current industry data.

Optionally, before this step S201, the method may further include a specific process in which the computer device determines the scoring interval according to the sample position, as shown in fig. 4, the method may include:

s301, obtaining a sample position set; the set of sample locations includes a plurality of sample locations of an appearance of a sample vehicle, the type of sample locations being no less than the type of target locations.

Specifically, the computer device may acquire a sample position set composed of a plurality of sample positions of the appearances of a plurality of sample vehicles, and the types of the sample positions in the sample position set may be more than or equal to the types of the target positions. Where multiple sample locations are included in each sample location category, for example, a number of more than thirty samples may be taken for the same sample location.

And S302, obtaining the DTS mean value of each sample position.

Specifically, the computer device may perform statistics according to the size and shape to obtain the DTS mean value of each sample position. For the description of the DTS mean value of each position, reference may be made to the description in the foregoing embodiments, and details are not repeated here.

And S303, acquiring the distribution of the DTS average value of each sample position according to the type of the sample position to which each sample position belongs, and acquiring the grading interval.

Specifically, the computer device may determine a reasonable score interval according to the distribution of the DTS mean of each sample position in each sample position. Optionally, the samples may be random samples, which may present a normal distribution rule, and the computer device may set a distribution interval of the DTS mean values of each sample position according to the size distribution of the DTS mean values of each sample position, and then input the DTS mean values of the sample positions of different distribution intervals into the quantization model, so as to obtain a score interval of the DTS quantized values of the entire vehicle. The scoring interval includes a plurality of sub-intervals, which may be continuous sub-intervals or discontinuous sub-intervals, and this embodiment is not limited to this, and the plurality of sub-intervals constitute the scoring interval.

Optionally, one possible division manner of the scoring interval may include an optimal subinterval, a most frequently used subinterval, and a lagging subinterval; the optimal subinterval, the most common subinterval, and the laggard subinterval each include two or more sub-levels. Specifically, the computer device may determine the optimal subinterval, the most frequently used subinterval, and the lagging subinterval according to the distribution of the DTS average value of each sample position, where the optimal subinterval is the subinterval with the smallest DTS value, the most frequently used subinterval is the subinterval with the second DTS value, and the lagging subinterval is the subinterval with the largest DTS value. Optionally, each sub-interval may be further divided to obtain two or more sub-levels, for example, five sub-levels may be obtained, where the number of sub-levels divided by each sub-interval may be the same or different; optionally, the computer device may averagely divide the DTS value of the subinterval into a plurality of sub-levels, or may divide the DTS value of the subinterval into a plurality of sub-levels according to a certain distribution rule, which is not limited in this embodiment. The evaluation interval is divided into the optimal subinterval, the most common subinterval and the lagging subinterval, each subinterval can further comprise a plurality of sub-grades, and the manufacturing capacity of the vehicle appearance can be represented more visually and simply through the evaluation interval, so that people can recognize the manufacturing capacity more conveniently.

In this implementation, the computer device obtains a sample position set, where the sample position set includes a plurality of sample positions of the appearance of the sample vehicle, so that the computer device can obtain the DTS mean value of each sample position by statistics according to each sample position in the obtained sample position set, and then obtain the distribution of the DTS mean value of each sample position according to the type of the sample position to which each sample position belongs, thereby obtaining the score interval. By adopting the method, the computer equipment can determine the grading interval according with the DTS mean value of each sample position in the sample position set, so that the DTS quantitative value of the whole vehicle of the vehicle to be evaluated can be more intuitively and conveniently embodied, and the identification by people is more convenient.

And S202, acquiring the complete vehicle DTS grade of the vehicle to be evaluated, which is matched with the grading interval.

Specifically, the computer device obtains the complete vehicle DTS grade of the vehicle to be evaluated, which is matched with the grading interval, according to the grading interval where the complete vehicle DTS quantized value is located. Optionally, when the evaluation interval includes an optimal subinterval, a most common subinterval, and a lagging subinterval, and the entire DTS quantized value of the vehicle to be evaluated falls within the optimal subinterval, the entire DTS grade of the vehicle to be evaluated is determined to be the optimal manufacturing capacity grade.

Optionally, a possible implementation manner of this step may be as shown in fig. 5, including:

S202A, if the DTS quantized value of the whole vehicle of the vehicle to be evaluated is smaller than the minimum threshold value of the optimal subinterval, determining the DTS grade of the whole vehicle of the vehicle to be evaluated according to the minimum threshold value of the optimal subinterval.

Specifically, when the vehicle DTS quantization value of the vehicle to be evaluated is smaller than the minimum threshold of the optimal subinterval, the computer device determines the vehicle DTS grade of the vehicle to be evaluated according to the minimum threshold in the optimal subinterval, that is, determines the vehicle DTS grade of the vehicle to be evaluated as the optimal manufacturing capability grade.

S202B, if the DTS quantized value of the whole vehicle of the vehicle to be evaluated is larger than the maximum threshold value of the lagging subinterval, determining the DTS grade of the whole vehicle of the vehicle to be evaluated according to the maximum threshold value of the lagging subinterval.

Specifically, when the vehicle DTS quantization value of the vehicle to be evaluated is greater than the maximum threshold of the laggard subinterval, the computer device determines the vehicle DTS grade of the vehicle to be evaluated according to the maximum threshold in the laggard subinterval, that is, determines that the vehicle DTS grade of the vehicle to be evaluated is a laggard manufacturing capability grade.

S202C, if the DTS quantitative value of the whole vehicle of the vehicle to be evaluated is larger than or equal to the minimum threshold of the optimal subinterval and smaller than or equal to the maximum threshold of the laggard subinterval, determining the DTS grade of the whole vehicle of the vehicle to be evaluated according to the grading interval in which the DTS quantitative value of the whole vehicle of the vehicle to be evaluated is located.

Specifically, when the vehicle DTS quantitative value of the vehicle to be evaluated is greater than or equal to the minimum threshold of the optimal subinterval and less than or equal to the maximum threshold of the lagging subinterval, the computer device determines the vehicle DTS grade of the vehicle to be evaluated according to the grading interval of the vehicle DTS quantitative value of the vehicle to be evaluated. Optionally, determining that the DTS grade of the whole vehicle of the vehicle to be evaluated is the best manufacturing capability grade when the DTS quantized value of the whole vehicle is greater than or equal to the minimum threshold value of the best subinterval and smaller than the maximum threshold value of the best subinterval; when the DTS quantized value of the whole vehicle of the vehicle to be evaluated is larger than or equal to the minimum threshold value of the most common subinterval and smaller than the maximum threshold value of the most common subinterval, determining that the DTS grade of the whole vehicle is the common manufacturing capability grade; and when the DTS quantized value of the whole vehicle of the vehicle to be evaluated is greater than or equal to the minimum threshold value of the lagging subinterval and is smaller than the maximum threshold value of the lagging subinterval, determining the DTS grade of the whole vehicle as the lagging manufacturing capability grade.

In the implementation mode, when the DTS quantization value of the whole vehicle of the vehicle to be evaluated is smaller than the minimum threshold value of the optimal subinterval, the computer equipment can determine the DTS grade of the whole vehicle of the vehicle to be evaluated according to the minimum threshold value in the optimal subinterval; when the DTS quantized value of the whole vehicle of the vehicle to be evaluated is larger than the maximum threshold value of the lagging subinterval, determining the DTS grade of the whole vehicle of the vehicle to be evaluated according to the maximum threshold value of the lagging subinterval; and when the complete vehicle DTS quantized value of the vehicle to be evaluated is greater than or equal to the minimum threshold of the optimal subinterval and less than or equal to the maximum threshold of the lagging subinterval, the complete vehicle DTS grade of the vehicle to be evaluated is determined according to the score interval in which the complete vehicle DTS quantized value of the vehicle to be evaluated is located, so that under the condition that the complete vehicle DTS quantized value of the vehicle to be evaluated exceeds the coverage range of the evaluation interval, quantitative evaluation is carried out according to the closest subinterval, the complete vehicle DTS grade of the vehicle to be evaluated is determined, and when the complete vehicle DTS quantized value of the vehicle to be evaluated is located in the evaluation interval, the complete vehicle DTS grade of the vehicle to be evaluated is determined according to the located evaluation interval, so that the complete vehicle DTS grade is determined under more conditions, and the application range is wider.

In the embodiment, the computer device queries the scoring interval where the complete vehicle DTS quantitative value of the vehicle to be evaluated is located, so that the complete vehicle DTS grade of the vehicle to be evaluated, which is matched with the scoring interval, is obtained, the vehicle can be visually evaluated through the complete vehicle DTS grade, errors in interpretation of the complete vehicle DTS quantitative value by people who do not know the DTS quantitative value are avoided, and the evaluation of the manufacturing capability of the vehicle appearance is more visual and convenient to identify.

Optionally, on the basis of the foregoing embodiments, as shown in fig. 6, the method may further include:

s401, determining the shape and position of the target vehicle according to the target position set, wherein the shape and position comprises a position which is consistent with the type of the target position in the appearance of the target vehicle.

Specifically, the computer device may determine, according to the target position set, the shape and the position of a corresponding target vehicle, where the target vehicle is a vehicle to be evaluated as a comparison target in the design and production processes, and generally requires that the index of vehicle design is higher than that of the target vehicle, or in the case of equivalent index, the cost is lower than that of the target vehicle. Optionally, one or more target vehicles may be used, which is not limited in this embodiment. The target vehicle and the vehicle to be evaluated are analogized vehicles, and the product definition or market positioning difference is small. Thus, the computer device determines, from the set of target positions, the identity positions in the appearance of the target vehicle, which identity positions are in correspondence, i.e. one-to-one, with the identity positions in the set of target positions, which identity positions may be positions on one target vehicle or positions on a plurality of target vehicles.

S402, obtaining the DTS mean value of the shape and position.

Specifically, the computer device performs statistics on the sizes and shapes of the shape and position to obtain the DTS mean value of each shape and position.

And S403, determining the complete vehicle DTS quantized value of the calibration vehicle according to the DTS mean value of each shape position and the quantization model.

Specifically, the calculation and equipment inputs the DTS mean value of the shape and position to the quantization model, so that a complete vehicle DTS quantization value of the target vehicle is output. Optionally, the quantitative model may further output the entire DTS rating of the target vehicle.

S404, adjusting the size of the appearance of the vehicle to be evaluated and/or the compensation coefficient according to the relation between the DTS quantized value of the whole vehicle of the benchmarking vehicle and the DTS quantized value of the whole vehicle of the vehicle to be evaluated.

Specifically, the computer device may adjust the size of the appearance of the vehicle to be evaluated, or adjust the compensation coefficient, or adjust the size of the appearance of the vehicle to be evaluated and the compensation coefficient simultaneously according to the magnitude relationship between the entire DTS quantized value of the target vehicle and the entire DTS quantized value of the vehicle to be evaluated.

In general, in order to make the product more competitive, the designer requires that the entire DTS quantized value of the vehicle to be evaluated is less than or equal to the entire DTS quantized value of the target vehicle, so that a possible implementation manner of this step S404 may further include, as shown in fig. 7:

S404A, if the DTS quantized value of the whole vehicle of the vehicle to be evaluated is smaller than or equal to the DTS quantized value of the target vehicle, determining the size of the appearance corresponding to the DTS quantized value of the whole vehicle of the vehicle to be evaluated as a target design result.

Specifically, when the vehicle DTS quantitative value of the vehicle to be evaluated is less than or equal to the vehicle DTS quantitative value of the target vehicle, it is determined that the current vehicle to be evaluated has reached the design specification, and the evaluation result of the manufacturing capability of the current vehicle to be evaluated is that the product requirement can be met, so that the size of the appearance corresponding to the vehicle DTS quantitative value of the vehicle to be evaluated in the current state is taken as the target design result.

S404B, if the DTS quantized value of the whole vehicle of the vehicle to be evaluated is larger than the DTS quantized value of the whole vehicle of the opposite standard vehicle, adjusting the size of the appearance of the vehicle to be evaluated and/or the compensation coefficient until the DTS quantized value of the whole vehicle of the vehicle to be evaluated is smaller than or equal to the DTS quantized value of the whole vehicle of the opposite standard vehicle, and taking the adjusted size of the appearance of the vehicle to be evaluated as the target design result and/or updating the quantization model according to the adjusted compensation coefficient.

Specifically, when the entire DTS quantized value of the vehicle to be evaluated is greater than the entire DTS quantized value of the target vehicle, it indicates that the current vehicle to be evaluated does not satisfy the design specification, and the evaluation result of the manufacturing capability of the vehicle cannot satisfy the product requirement, at this time, the computer device may adjust the size of the vehicle to be evaluated, may also adjust the compensation coefficient, may also adjust both the size and the compensation coefficient, and may adjust in an iterative manner until the entire DTS quantized value of the vehicle to be evaluated can satisfy the product requirement, that is, less than or equal to the entire DTS quantized value of the target vehicle. Optionally, the product size corresponding to the DTS quantitative value of the whole vehicle satisfying the product requirement of the vehicle to be evaluated is used as a final target design result by random adjustment according to a certain step; or further adjusting the size of the position where the DTS mean value of the target positions of the vehicle to be evaluated is larger than the DTS mean value of the corresponding position on the target vehicle so as to meet the product requirement. When the DTS quantized value of the whole vehicle of the vehicle to be evaluated is larger than the DTS quantized value of the whole vehicle of the target vehicle, the computer device adjusts a compensation coefficient in the quantization model, which may be one or more compensation coefficients corresponding to a certain step adjustment product definition, until the DTS quantized value of the whole vehicle of the vehicle to be evaluated output by the quantization model is smaller than or equal to the DTS quantized value of the whole vehicle of the target vehicle. And then, taking the adjusted size of the appearance of the vehicle to be evaluated as a target design result, and/or updating the quantitative model according to the adjusted compensation coefficient.

In the implementation manner shown in fig. 7, when the vehicle DTS quantitative value of the vehicle to be evaluated is less than or equal to the vehicle DTS quantitative value of the peer-to-peer vehicle, the computer device determines the external dimension corresponding to the vehicle DTS quantitative value of the vehicle to be evaluated as the target design result, so as to avoid excessive invalid system operations while ensuring that the external dimension of the vehicle to be evaluated meets the design requirement, and further save system resources; on the other hand, when the DTS quantitative value of the whole vehicle of the vehicle to be evaluated is larger than the DTS quantitative value of the whole vehicle of the target vehicle, the size and/or the compensation coefficient of the appearance of the vehicle to be evaluated is adjusted until the DTS quantitative value of the whole vehicle of the vehicle to be evaluated is smaller than or equal to the DTS quantitative value of the whole vehicle of the target vehicle, the adjusted size of the appearance of the vehicle to be evaluated is used as a target design result, and/or the quantitative model is updated according to the adjusted compensation coefficient, so that when the size of the appearance of the vehicle to be evaluated does not meet the design requirement, the vehicle to be evaluated can meet the design requirement through size adjustment; the computer equipment can also adjust the compensation coefficient and update the quantization model according to the adjusted compensation coefficient, and the actual measured and calculated finished vehicle DTS quantization value is adopted to feedback and train the compensation coefficient of the quantization model, so that the compensation coefficient of the quantization model is set more reasonably, and the accuracy and the rationality of the quantization evaluation result of the vehicle manufacturing capability are greatly improved.

Optionally, on the basis of the foregoing embodiment, the foregoing S101 may include: and determining the target position set corresponding to the product definition according to a first corresponding relation between a preset product definition and each candidate position set. Specifically, the designer may correspond the product definition to the plurality of candidate location sets according to design experience or industry standards, and establish a first correspondence between the product definition and the candidate location sets. Alternatively, it may be in one-to-one correspondence, or in one-to-many correspondence, or in many-to-one or many-to-many correspondence. The computer device can search according to the product definition in the first corresponding relation, so as to determine a target position set matched with the product definition of the vehicle to be evaluated. In this embodiment, the computer device may determine the target position set corresponding to the product definition of the vehicle to be evaluated according to the first corresponding relationship between the product definition and each candidate position set, so as to evaluate the manufacturing capability of the appearance of the vehicle to be evaluated through the target positions in the target position set.

Optionally, on the basis of the foregoing embodiments, before step S103, the method may further include: determining a target compensation coefficient corresponding to the product definition according to a preset second corresponding relation between the product definition and the compensation coefficient; and activating the quantization model according to the target compensation coefficient. Specifically, the computer device may correspond the product definition and the compensation coefficient according to design experience or industry standards, and establish a second correspondence between the product definition and the compensation coefficient. Optionally, the second corresponding relationship may be a one-to-one correspondence, or a one-to-many correspondence, or a many-to-one correspondence or a many-to-many correspondence.

Optionally, the compensation coefficient may include: at least one of design-like forward compensation, manufacturing-like reverse compensation, and vision-like bidirectional compensation; the design class forward compensation comprises: at least one of a modeling compensation, a fit relation compensation, and a visual compensation effect; the manufacturing-class reverse compensation comprises: at least one of parallelism range compensation, symmetry range compensation, and median shift compensation; the vision-based bidirectional compensation comprises the following steps: at least one of visual parting line exposure compensation, cuff over length/over length compensation, and visual clearance compensation. The design-class forward compensation coefficient can optimize the DTS value of the whole vehicle based on the design dimension, and can include but is not limited to at least one of modeling compensation, fit relation compensation and visual compensation effect; the manufacturing-like reverse compensation is a deterioration of the DTS quantitative value of the whole vehicle based on the capability of production processing, and can include but is not limited to at least one of parallelism range compensation, symmetry range compensation and median offset compensation; the visual type bidirectional compensation is a bidirectional change of the DTS quantitative value of the whole vehicle based on the dimension of human vision, and can include but is not limited to at least one of visual parting line exposure compensation, flanging overlong/overlong compensation and visual clearance compensation, wherein the visual type bidirectional compensation comprises two directions of optimization and deterioration. The design type forward compensation comprises at least one of modeling compensation, matching relation compensation and visual compensation effect through at least one compensation coefficient of the design type forward compensation, the manufacturing type reverse compensation and the visual type bidirectional compensation; the manufacturing-like reverse compensation comprises at least one of parallelism range compensation, symmetry range compensation, and median shift compensation; the vision-type bi-directional compensation includes at least one of visual parting line exposure compensation, burring over length/over length compensation, and vision gap compensation. Therefore, the computer equipment can fully and comprehensively consider the influence of the appearance effect of the dimensionality corresponding to the compensation coefficient when the human eyes observe the appearance of the vehicle based on the multiple compensation coefficients, and further enable the generated finished vehicle DTS quantitative value of the vehicle to be evaluated to be more matched with the result observed by the human eyes, so that the method is more accurate and reasonable.

In this embodiment, the computer device may perform search according to the product definition in the second corresponding relationship, so as to determine the compensation coefficients matched with the product definition of the vehicle to be evaluated, and then activate the compensation coefficients in the quantitative model, so that in the process of generating the vehicle DTS quantitative value of the vehicle to be evaluated by the quantitative model, the manufacturing capability of the vehicle can be correspondingly compensated based on the activated compensation coefficients matched with the product definition, so that the generated vehicle DTS quantitative value of the vehicle to be evaluated is more matched with the actual manufacturing capability, and the accuracy and the rationality are higher.

Optionally, on the basis of the foregoing embodiments, the step S103 may specifically include: and respectively multiplying the DTS mean value of each target position by the corresponding compensation coefficient to obtain the DTS score of each target position, and determining the complete DTS quantitative value of the vehicle to be evaluated according to the sum of the DTS scores of each target position.

Specifically, the computer device multiplies the DTS average value of each target position by the corresponding compensation coefficient, so as to obtain a DTS score of each target position, and then adds the obtained DTS scores of each target position to obtain a sum of the DTS scores, wherein the sum of the DTS scores of each target position can be used as a complete vehicle DTS quantized value of the vehicle to be evaluated; or dividing the sum of the DTS scores of all the target positions by the number of the target positions to obtain a total DTS quantitative value of the vehicle to be evaluated. Optionally, the computer device may further convert the obtained entire DTS of the vehicle to be evaluated to obtain various forms of representations, such as tenth system, percentile system, and the like, which is not limited in this embodiment.

In this embodiment, the computer device multiplies the DTS mean value of each target position by the corresponding compensation coefficient, to obtain the DTS score of each target position, and determines the entire DTS quantized value of the vehicle to be evaluated according to the sum of the DTS scores of each target position, so that the DTS mean values of the local positions can be integrated, and the entire DTS quantized value representing the manufacturing capability of the entire appearance of the vehicle can be determined.

In order to express the technical scheme of the present application more clearly, the technical scheme of the present application is described by a specific example. As shown in fig. 8, includes:

s501, obtaining a sample position set; the set of sample locations includes a plurality of sample locations of an appearance of a sample vehicle, the type of sample locations being no less than the type of target locations.

And S502, obtaining the DTS mean value of each sample position.

S503, obtaining the DTS average value distribution of each sample position according to the type of the sample position to which each sample position belongs, and obtaining the scoring interval. The scoring intervals comprise an optimal subinterval, a most common subinterval and a lagging subinterval; the optimal subinterval, the most common subinterval, and the laggard subinterval each include two or more sub-levels.

S504, determining the target position set corresponding to the product definition according to a first corresponding relation between a preset product definition and each candidate position set.

And S505, determining a target compensation coefficient corresponding to the product definition according to a preset second corresponding relation between the product definition and the compensation coefficient.

And S506, activating the quantization model according to the target compensation coefficient.

And S507, respectively multiplying the DTS mean value of each target position by the corresponding compensation coefficient by adopting a quantitative model to obtain the DTS score of each target position.

And S508, determining the complete vehicle DTS quantitative value of the vehicle to be evaluated according to the sum of the DTS scores of the target positions.

And S509, inquiring the grading interval where the complete vehicle DTS quantitative value of the vehicle to be evaluated is located.

And S510A, if the DTS quantized value of the whole vehicle of the vehicle to be evaluated is smaller than the minimum threshold value of the optimal subinterval, determining the DTS grade of the whole vehicle of the vehicle to be evaluated according to the minimum threshold value in the optimal subinterval.

And S510B, if the DTS quantized value of the whole vehicle of the vehicle to be evaluated is larger than the maximum threshold value of the lagging subinterval, determining the DTS grade of the whole vehicle of the vehicle to be evaluated according to the maximum threshold value of the lagging subinterval.

And S510C, if the DTS quantitative value of the whole vehicle of the vehicle to be evaluated is greater than or equal to the minimum threshold of the optimal subinterval and is less than or equal to the maximum threshold of the laggard subinterval, determining the DTS grade of the whole vehicle of the vehicle to be evaluated according to the grading interval in which the DTS quantitative value of the whole vehicle of the vehicle to be evaluated is located.

And S511, determining the shape and position of the target vehicle according to the target position set, wherein the shape and position comprises a position which is consistent with the type of the target position in the appearance of the target vehicle.

And S512, obtaining the DTS mean value of the shape and position.

And S513, determining the complete vehicle DTS quantized value of the calibration vehicle according to the DTS mean value of each shape position and the quantization model.

And S514A, if the DTS quantitative value of the whole vehicle of the vehicle to be evaluated is smaller than or equal to the DTS quantitative value of the target vehicle, determining the size of the appearance corresponding to the DTS quantitative value of the whole vehicle of the vehicle to be evaluated as a target design result.

S514B, if the DTS quantized value of the whole vehicle of the vehicle to be evaluated is larger than the DTS quantized value of the whole vehicle of the opposite standard vehicle, adjusting the size of the appearance of the vehicle to be evaluated and/or the compensation coefficient until the DTS quantized value of the whole vehicle of the vehicle to be evaluated is smaller than or equal to the DTS quantized value of the whole vehicle of the opposite standard vehicle, and taking the adjusted size of the appearance of the vehicle to be evaluated as the target design result, and/or updating the quantization model according to the adjusted compensation coefficient.

For detailed descriptions of the steps involved in this embodiment, reference may be made to the foregoing embodiments, which are not described herein again.

It should be understood that although the various steps in the flow charts of fig. 2-8 are shown in order as indicated by the arrows, the steps are not necessarily performed in order as indicated by the arrows. The steps are not performed in the exact order shown and described, and may be performed in other orders, unless explicitly stated otherwise. Moreover, at least some of the steps in fig. 2-8 may include multiple sub-steps or multiple stages that are not necessarily performed at the same time, but may be performed at different times, and the order of performance of the sub-steps or stages is not necessarily sequential, but may be performed in turn or alternating with other steps or at least some of the sub-steps or stages of other steps.

In one embodiment, as shown in fig. 9, there is provided a quantitative result determination apparatus of a vehicle appearance, including:

a determining module 100, configured to determine a target location set according to a product definition of a vehicle to be evaluated; the set of target locations includes at least one target location of the appearance of the vehicle to be evaluated;

an obtaining module 200, configured to obtain a DTS mean value of a size specification of each target location;

the processing module 300 is configured to determine a complete vehicle DTS quantized value of the vehicle to be evaluated according to the DTS mean value of each target position and a preset quantization model; the quantitative model is a model containing the mutual relation among the DTS mean value of a plurality of positions, the compensation coefficient and the DTS quantitative value of the whole vehicle.

In one embodiment, the quantitative model further includes a preset scoring interval, and the processing module 300 is further configured to query the scoring interval where the vehicle DTS quantitative value of the vehicle to be evaluated is located; and acquiring the DTS grade of the whole vehicle to be evaluated, which is matched with the grading interval.

In one embodiment, the processing module 300 may be further configured to obtain a set of sample locations; the set of sample locations comprises a plurality of sample locations of an appearance of a sample vehicle, the type of sample locations being no less than the type of target locations; obtaining a DTS mean value of each sample position; and acquiring the distribution of the DTS average value of each sample position according to the type of the sample position to which each sample position belongs to obtain the grading interval.

In one embodiment, the scoring intervals include an optimal subinterval, a most common subinterval, and a lagging subinterval; the optimal subinterval, the most common subinterval, and the laggard subinterval each include two or more sub-levels.

In an embodiment, the processing module 300 may be specifically configured to determine, when the vehicle DTS quantized value of the vehicle to be evaluated is smaller than the minimum threshold of the optimal subinterval, the vehicle DTS grade of the vehicle to be evaluated according to the minimum threshold of the optimal subinterval; when the DTS quantitative value of the whole vehicle of the vehicle to be evaluated is larger than the maximum threshold value of the lagging subinterval, determining the DTS grade of the whole vehicle of the vehicle to be evaluated according to the maximum threshold value of the lagging subinterval; and when the complete vehicle DTS quantitative value of the vehicle to be evaluated is greater than or equal to the minimum threshold of the optimal subinterval and is less than or equal to the maximum threshold of the lagging subinterval, determining the complete vehicle DTS grade of the vehicle to be evaluated according to the grading interval in which the complete vehicle DTS quantitative value of the vehicle to be evaluated is positioned.

In one embodiment, the processing module 300 may be further configured to determine a shape location of the targeting vehicle according to the target location set, where the shape location includes a location in the appearance of the targeting vehicle that is consistent with the target location category; obtaining the DTS mean value of the shape and position; determining a complete vehicle DTS quantized value of the calibration vehicle according to the DTS mean value of each shape and position and the quantization model; and adjusting the size of the appearance of the vehicle to be evaluated and/or the compensation coefficient according to the relation between the DTS quantized value of the whole vehicle of the benchmarking vehicle and the DTS quantized value of the whole vehicle of the vehicle to be evaluated.

In an embodiment, the processing module 300 may be specifically configured to determine, when the entire DTS quantized value of the vehicle to be evaluated is less than or equal to the entire DTS quantized value of the calibration target vehicle, that the size of the appearance corresponding to the entire DTS quantized value of the vehicle to be evaluated is a target design result; when the DTS quantitative value of the whole vehicle of the vehicle to be evaluated is larger than the DTS quantitative value of the whole vehicle of the target vehicle, the size of the appearance of the vehicle to be evaluated and/or the compensation coefficient are adjusted until the DTS quantitative value of the whole vehicle of the vehicle to be evaluated is smaller than or equal to the DTS quantitative value of the whole vehicle of the target vehicle, the adjusted size of the appearance of the vehicle to be evaluated is used as the target design result, and/or the quantitative model is updated according to the adjusted compensation coefficient.

In an embodiment, the determining module 100 may be specifically configured to determine the target location set corresponding to the product definition according to a preset first correspondence between the product definition and each candidate location set.

In an embodiment, the processing module 300 may be further configured to determine a target compensation coefficient corresponding to the product definition according to a preset second corresponding relationship between the product definition and the compensation coefficient; and activating the quantization model according to the target compensation coefficient.

In one embodiment, the compensation coefficients include: at least one of design-like forward compensation, manufacturing-like reverse compensation, and vision-like bidirectional compensation;

In an embodiment, the processing module 300 may be specifically configured to multiply the DTS mean of each target position by a corresponding compensation coefficient, respectively, to obtain a DTS score of each target position; and determining the complete vehicle DTS quantitative value of the vehicle to be evaluated according to the sum of the DTS scores of each target position.

For specific definition of the vehicle appearance quantitative result determination device, reference may be made to the above definition of the vehicle appearance quantitative result determination method, which is not described herein again. The respective modules in the above-described vehicle appearance quantitative result determining apparatus may be implemented in whole or in part by software, hardware, and a combination thereof. The modules can be embedded in a hardware form or independent from a processor in the computer device, and can also be stored in a memory in the computer device in a software form, so that the processor can call and execute operations corresponding to the modules.

In one embodiment, a computer device is provided, comprising a memory and a processor, the memory having a computer program stored therein, the processor implementing the following steps when executing the computer program:

In one embodiment, the quantitative model further comprises a preset scoring interval, and the processor, when executing the computer program, further implements the following steps:

In one embodiment, the processor, when executing the computer program, further performs the steps of:

obtaining a DTS mean value of each sample position;

obtaining the DTS mean value of the shape and position;

It should be clear that, in the embodiments of the present application, the process of executing the computer program by the processor is consistent with the process of executing the steps in the above method, and specific reference may be made to the description above.

In one embodiment, a computer-readable storage medium is provided, having a computer program stored thereon, which when executed by a processor, performs the steps of:

In one embodiment, the quantitative model further comprises a preset scoring interval, and the computer program when executed by the processor further performs the steps of:

In one embodiment, the computer program when executed by the processor further performs the steps of:

obtaining a DTS mean value of each sample position;

obtaining the DTS mean value of the shape and position;

It will be understood by those skilled in the art that all or part of the processes of the methods of the embodiments described above can be implemented by hardware instructions of a computer program, which can be stored in a non-volatile computer-readable storage medium, and when executed, can include the processes of the embodiments of the methods described above. Any reference to memory, storage, database, or other medium used in the embodiments provided herein may include non-volatile and/or volatile memory, among others. Non-volatile memory can include read-only memory (ROM), Programmable ROM (PROM), Electrically Programmable ROM (EPROM), Electrically Erasable Programmable ROM (EEPROM), or flash memory. Volatile memory can include Random Access Memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in a variety of forms such as Static RAM (SRAM), Dynamic RAM (DRAM), Synchronous DRAM (SDRAM), Double Data Rate SDRAM (DDRSDRAM), Enhanced SDRAM (ESDRAM), Synchronous Link DRAM (SLDRAM), Rambus Direct RAM (RDRAM), direct bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM).

The technical features of the above embodiments can be arbitrarily combined, and for the sake of brevity, all possible combinations of the technical features in the above embodiments are not described, but should be considered as the scope of the present specification as long as there is no contradiction between the combinations of the technical features.

The above-mentioned embodiments only express several embodiments of the present application, and the description thereof is more specific and detailed, but not construed as limiting the scope of the invention. It should be noted that, for a person skilled in the art, several variations and modifications can be made without departing from the concept of the present application, which falls within the scope of protection of the present application. Therefore, the protection scope of the present patent shall be subject to the appended claims.

Claims

1. A quantitative result determination method of vehicle appearance, characterized by comprising:

2. The method of claim 1, wherein the quantitative model further comprises a preset scoring interval, the method further comprising:

3. The method according to claim 1 or 2, wherein before the step of inquiring the scoring interval where the overall DTS quantitative value of the vehicle to be evaluated is located, the step of:

obtaining a DTS mean value of each sample position;

4. The method of claim 3, wherein the scoring intervals comprise a best subinterval, a most common subinterval, and a laggard subinterval; the optimal subinterval, the most common subinterval, and the laggard subinterval each include two or more sub-levels.

5. The method according to claim 4, wherein the obtaining of the overall DTS grade of the vehicle to be evaluated, which is matched with the scoring interval, comprises:

6. The method of claim 3, further comprising:

obtaining the DTS mean value of the shape and position;

7. The method of claim 6, wherein the determining the size of the appearance of the vehicle to be evaluated and/or the compensation coefficient according to the relationship between the vehicle DTS quantitative value of the benchmarking vehicle and the vehicle DTS quantitative value of the vehicle to be evaluated comprises:

8. The method of claim 1, wherein determining a set of target locations from a product definition of a vehicle to be evaluated comprises:

9. The method of claim 1, wherein before determining the full DTS quantitative value of the vehicle to be evaluated according to the DTS mean value of each target position and a preset quantitative model, the method comprises:

10. The method of claim 8 or 9, wherein the compensation factor comprises: at least one of design-like forward compensation, manufacturing-like reverse compensation, and vision-like bidirectional compensation;

11. The method according to claim 10, wherein the determining a vehicle-to-vehicle DTS quantized value of the vehicle to be evaluated according to the DTS mean value of each target position and a preset quantization model comprises:

12. An apparatus for determining a result of quantization of an appearance of a vehicle, the apparatus comprising:

13. A computer device comprising a memory and a processor, the memory storing a computer program, wherein the processor implements the steps of the method of any one of claims 1 to 11 when executing the computer program.