CN-122020851-A - Vehicle dimension chain analysis method, electronic device and computer program product

CN122020851ACN 122020851 ACN122020851 ACN 122020851ACN-122020851-A

Abstract

The embodiment of the application provides a vehicle size chain analysis method, an electronic device and a computer program product, wherein the method comprises the steps of obtaining a basic information list, wherein the basic information list is used for integrating size tolerance research data of various historical vehicle types; and analyzing the vehicle type to be processed through the size chain knowledge base to obtain the size chain of the vehicle type to be processed. The application solves the technical problems of low efficiency and poor accuracy in the manual size chain analysis process in the related technology.

Inventors

LI BIN
LIU WEI
LI WENPING

Assignees

奇瑞汽车股份有限公司

Dates

Publication Date: 20260512
Application Date: 20260127

Claims (10)

1. A method of vehicle dimension chain analysis, the method comprising: acquiring a basic information list, wherein the basic information list is used for integrating dimensional tolerance research data of various historical vehicle types; Establishing a size chain knowledge base based on the basic information list, wherein the size chain knowledge base is used for storing the corresponding relation between the size tolerance research data of the plurality of historical vehicle types and a historical size chain; And analyzing the vehicle type to be processed through the size chain knowledge base to obtain the size chain of the vehicle type to be processed.
2. The method of claim 1, wherein the data recorded in the basic information list includes a size tolerance study number for uniquely identifying a section or an assembly point related to the size tolerance study, a model class, and an assembly method for defining a connection method between vehicle parts, and the analyzing the model to be processed through the size chain knowledge base to obtain a size chain of the model to be processed includes: acquiring the size tolerance research number, the type of the vehicle type and the assembly mode of the vehicle type to be processed; matching in the size chain knowledge base according to the size tolerance research number, the vehicle type category and the assembly mode to obtain at least one historical size chain; And determining a size chain of the vehicle type to be processed based on at least one historical size chain.
3. The method of claim 2, wherein the data recorded in the base information list further includes link tolerances, preset gaps, and wherein the determining the size chain of the vehicle model to be processed based on at least one of the historical size chains includes: Obtaining a design target limit value of the vehicle type to be processed; Determining the out-of-tolerance probability of at least one historical size chain based on the design target limit, the link tolerance and the preset gap, wherein the out-of-tolerance probability is used for representing the probability that the historical size chain exceeds the design target limit; And determining the historical size chain with the out-of-tolerance probability meeting a preset standard as the size chain of the vehicle type to be processed.
4. The method of claim 3, wherein the assembly comprises a connection direction and connection conditions, and wherein the determining the out-of-tolerance probability for at least one of the historical size chains based on the design target limits, the link tolerances, and the preset clearances comprises: determining a total dimensional chain tolerance based on the sum of squares of products of each link tolerance and a sensitivity coefficient, wherein the sensitivity coefficient is determined based on the connection direction and the connection condition; and carrying out normal distribution calculation on the design target limit value, the total tolerance of the size chain and the average value of the preset gap by adopting a standard normal distribution function to obtain the out-of-tolerance probability of the historical size chain.
5. The method of claim 4, wherein the size chain of the vehicle model to be treated includes a link path representing a plurality of interconnected size tolerance links, a node size deviation representing a difference between an actual size and a design size of a vehicle part, a tolerance contribution to measure an effect of at least one link on an overall size chain tolerance stack-up, and the out-of-tolerance probability, the method further comprising: generating a size chain analysis report of the vehicle type to be processed based on the link path, the node size deviation, the tolerance contribution ratio and the out-of-tolerance probability; and responding to the size chain analysis report to indicate that the out-of-tolerance probability corresponding to the size chain of the vehicle type to be processed is larger than a preset value, and triggering an early warning prompt, wherein the early warning prompt is used for warning that the size chain of the vehicle type to be processed does not meet the design target limit value.
6. The method of claim 5, wherein the method further comprises: responding to a triggering early warning prompt, and obtaining an updated size chain of the vehicle type to be processed by editing the link path or modifying the link tolerance; Determining the out-of-tolerance probability of the updated size chain based on the design target limit, the link tolerance and the preset gap; and updating the size chain knowledge base based on the update data of the updated size chain in response to the out-of-tolerance probability of the updated size chain being smaller than the preset value.
7. The method of claim 6, wherein updating the size chain knowledge base based on the update data of the updated size chain comprises: Obtaining updated data of the updated dimension chain, wherein the updated data comprises the link path, the design target limit value and the node dimension deviation; Backfilling the link path, the design target limit and the node size deviation to the size chain knowledge base to update the size chain knowledge base.
8. The method of claim 1, wherein the building a size chain knowledge base based on the base information inventory comprises: cleaning and structuring the dimensional tolerance research data of the plurality of historical vehicle types to obtain standardized dimensional tolerance research data; and establishing the dimension chain knowledge base based on the correspondence between the standardized dimension tolerance research data and the historical dimension chain.
9. An electronic device comprising a memory and a processor, characterized in that the memory has stored therein a computer program, the processor being arranged to run the computer program to perform the vehicle size chain analysis method as claimed in any of the preceding claims 1 to 8.
10. A computer program product comprising a computer program which, when executed by a processor, implements the vehicle dimension chain analysis method of any of claims 1 to 8.

Description

Vehicle dimension chain analysis method, electronic device and computer program product Technical Field The embodiment of the application relates to the technical field of vehicle engineering design and manufacture, in particular to a vehicle dimension chain analysis method, an electronic device and a computer program product. Background In the technical field of vehicle engineering design and manufacturing, a traditional manual analysis method requires engineers to check and calculate each link of a dimension chain one by one, especially when facing a large amount of dimension tolerance research (Dimensional Tolerance Study, DTS) data, the analysis work often needs days or even weeks, so that the development progress of a new vehicle model is influenced. In addition, since the manual size chain analysis involves a large amount of data processing, the manual analysis is easily affected by subjective judgment, experience deficiency, and the like, so that the accuracy of an analysis result is insufficient, even misleading conclusions can be generated, and the assembly quality and the production cost of the automobile are negatively affected. Therefore, the traditional manual size chain analysis method has the technical problems of low efficiency and incapability of ensuring accuracy. There is currently no good solution to the above problems. Disclosure of Invention The embodiment of the application provides a vehicle dimension chain analysis method, an electronic device and a computer program product, which at least solve the technical problems of low efficiency and poor accuracy in the manual dimension chain analysis process in the related technology. According to one aspect of the embodiment of the application, a vehicle dimension chain analysis method is provided, and the method comprises the steps of obtaining a basic information list, establishing a dimension chain knowledge base based on the basic information list, wherein the basic information list is used for integrating dimension tolerance research data of various historical vehicle types, the dimension chain knowledge base is used for storing corresponding relations between the dimension tolerance research data of the various historical vehicle types and a historical dimension chain, and analyzing the vehicle types to be processed through the dimension chain knowledge base to obtain dimension chains of the vehicle types to be processed. The data recorded in the basic information list further comprises a size tolerance research number, a model type and an assembly mode, wherein the size tolerance research number is used for uniquely identifying a section or an assembly point related to size tolerance research, the assembly mode is used for defining a connection mode between vehicle parts, the model to be processed is analyzed through a size chain knowledge base to obtain a size chain of the model to be processed, the size tolerance research number, the model type and the assembly mode of the model to be processed are obtained, matching is carried out in the size chain knowledge base according to the size tolerance research number, the model type and the assembly mode to obtain at least one historical size chain, and the size chain of the model to be processed is determined based on the at least one historical size chain. The data recorded in the basic information list further comprises link tolerance, preset gaps, a size chain of the vehicle type to be processed is determined based on at least one historical size chain, the method comprises the steps of obtaining a design target limit value of the vehicle type to be processed, determining the out-of-tolerance probability of the at least one historical size chain based on the design target limit value, the link tolerance and the preset gaps, wherein the out-of-tolerance probability is used for representing the probability that the historical size chain exceeds the design target limit value, and determining the historical size chain with the out-of-tolerance probability meeting preset standards as the size chain of the vehicle type to be processed. The assembling mode comprises the steps of determining the out-of-tolerance probability of at least one historical size chain based on a design target limit value, a link tolerance and a preset gap, determining the total tolerance of the size chain based on the sum of squares of products of each link tolerance and a sensitivity coefficient, wherein the sensitivity coefficient is determined based on the connection direction and the connection condition, and carrying out normal distribution calculation on the average value of the design target limit value, the total tolerance of the size chain and the preset gap by adopting a standard normal distribution function to obtain the out-of-tolerance probability of the historical size chain. Further, the dimension chain of the vehicle type to be processed comprises a chain link path, a node dimension deviation, a tol