CN116380496A - Automobile door fatigue endurance test method, system and medium - Google Patents
Automobile door fatigue endurance test method, system and medium Download PDFInfo
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Abstract
The embodiment of the application provides a method, a system and a medium for testing fatigue durability of an automobile door, wherein the method comprises the following steps: acquiring automobile door parameter information, establishing a door model, and establishing a door detection point according to the door model to obtain position information of the door detection point; building a vehicle door test model, inputting position information of a vehicle door detection point, and outputting vehicle door test parameters; collecting test information of a vehicle door detection point, and comparing the test information of the vehicle door detection point with preset test information to obtain a test deviation rate; judging whether the test deviation rate is larger than or equal to a preset deviation rate threshold value; if the fatigue degree is greater than or equal to the preset fatigue degree, generating defect information, and inputting the defect information into a preset life prediction model to obtain the fatigue degree data of the vehicle door; if the vehicle door test parameters are smaller than the preset threshold value, the vehicle door test parameters are adjusted, and test information is recorded in real time; and carrying out endurance test on the vehicle door by establishing a vehicle door detection point, and adjusting vehicle door test parameters to realize life prediction of the vehicle door in different states.
Description
Technical Field
The application relates to the field of automobile door testing, in particular to an automobile door fatigue durability testing method, an automobile door fatigue durability testing system and a medium.
Background
The automobile door has the advantages that the automobile door can be worn in different degrees in the use process, the automobile running safety is reduced when the automobile door is worn to a higher degree, the life safety of passengers can be influenced when the automobile door is worn to a serious degree, the existing automobile door fatigue test is only to conduct a large number of opening and closing tests on the automobile door, the connection firmness of the automobile door is tested, the fatigue degree and the durability of the automobile door cannot be accurately judged, in addition, the defect information of the automobile door cannot be accurately analyzed, the service life of the automobile door is difficult to predict, and therefore the automobile door cannot be maintained or replaced in advance, and the safety performance is poor; in view of the above problems, an effective technical solution is currently needed.
Disclosure of Invention
The embodiment of the application aims to provide a method, a system and a medium for testing fatigue durability of an automobile door, which can be used for carrying out durability test on the automobile door by establishing a door detection point and adjusting door test parameters to realize the technology of predicting the service lives of the automobile door in different states.
The embodiment of the application also provides an automobile door fatigue durability test method, which comprises the following steps:
acquiring automobile door parameter information, establishing a door model, and establishing a door detection point according to the door model to obtain position information of the door detection point;
Building a vehicle door test model, inputting position information of a vehicle door detection point, and outputting vehicle door test parameters;
collecting test information of a vehicle door detection point, and comparing the test information of the vehicle door detection point with preset test information to obtain a test deviation rate;
judging whether the test deviation rate is larger than or equal to a preset deviation rate threshold value;
if the fatigue degree is greater than or equal to the preset fatigue degree, generating defect information, and inputting the defect information into a preset life prediction model to obtain the fatigue degree data of the vehicle door;
if the vehicle door test parameters are smaller than the preset threshold value, the vehicle door test parameters are adjusted, and the test information is recorded in real time.
Optionally, in the method for testing fatigue durability of an automobile door according to the embodiment of the present application, the obtaining automobile door parameter information, and establishing a door model, establishing a door detection point according to the door model, and obtaining position information of the door detection point includes:
acquiring an automobile model, and acquiring standard car door size information, shape information and boundary information according to the automobile model;
performing vehicle door modeling according to the standard vehicle door size information, the shape information and the boundary information, and extracting edge points of the vehicle door model to obtain edge lines of the vehicle door model;
performing similarity calculation on edge lines of the vehicle door model and boundary information of a standard vehicle door to obtain edge similarity;
Judging whether the edge similarity is larger than or equal to a preset similarity threshold value;
if the vehicle door model is larger than or equal to the vehicle door model, judging that the modeling is successful, and meshing the vehicle door model;
if the vehicle door model parameter is smaller than the preset threshold value, boundary deviation information is generated, correction information is generated according to the boundary deviation information, and the vehicle door model parameter is adjusted according to the correction information.
Optionally, in the method for testing fatigue durability of an automobile door according to the embodiment of the present application, if the fatigue durability is greater than or equal to the threshold value, determining that the modeling is successful, and meshing the door model; comprising the following steps:
acquiring door boundary information, and acquiring door area information according to the door boundary information;
establishing a standard number of vehicle door grids according to the area information of the vehicle door area;
obtaining the grid division quantity, and subtracting the standard quantity from the grid division quantity to obtain a quantity difference value;
judging whether the quantity difference value is zero or not;
if the grid division is zero, the grid division is judged to be accurate;
if the difference value is not zero, judging that the difference value is a positive value or a negative value;
if the grid dividing number is positive, judging that the grid dividing number is larger than the standard number, and calculating the area of each grid; calculating the grid area and a preset grid area;
When the grid area is larger than the preset grid area, reserving the grid;
if the grid area is smaller than the preset grid area, calculating the grid area deviation rate;
judging whether the grid area deviation rate is larger than or equal to a preset area deviation rate threshold value or not;
if the area deviation rate is larger than or equal to a preset area deviation rate threshold value, combining the two corresponding grids;
and if the area deviation rate is smaller than the preset area deviation rate threshold value, sorting according to the grid areas, and merging in the reverse order according to the grid area sequence.
Optionally, in the method for testing fatigue durability of an automobile door according to the embodiment of the present application, the constructing a door test model, inputting position information of a door detection point, and outputting door test parameters includes:
acquiring a vehicle door model, establishing a coordinate system, and acquiring the position coordinates of a vehicle door detection point;
comparing the position coordinates of the detection point of the vehicle door with preset position information to obtain a position deviation rate;
judging whether the position deviation rate is larger than or equal to a preset position deviation rate threshold value;
if the detection point position is greater than or equal to the detection point position, generating first adjustment information, and adjusting the detection point position according to the first adjustment information;
if the correlation degree is smaller than the preset correlation information, generating detection point linkage information, establishing detection point correlation information according to the detection point linkage information, and comparing the detection point correlation information with the preset correlation information to obtain the correlation degree;
Judging whether the association degree is larger than or equal to a preset association degree threshold value;
if the correlation degree is larger than or equal to a preset correlation degree threshold value, establishing detection point distribution information, and generating detection point track information in the opening and closing process of the vehicle door according to the detection point distribution information;
and if the correlation degree is smaller than the correlation degree threshold value, generating second adjustment information, and adjusting the distribution information of the detection points according to the second adjustment information.
Optionally, in the method for testing fatigue durability of an automobile door according to the embodiment of the present application, if the threshold value of the association degree is greater than or equal to a preset threshold value of association degree, detecting point distribution information is established, and detecting point track information in the opening and closing process of the automobile door is generated according to the detecting point distribution information, including:
acquiring track information of a detection point, and comparing the track information of the detection point with preset track information to obtain a track deviation rate;
judging whether the track deviation rate is larger than or equal to a preset track deviation rate threshold value;
if the vehicle door failure information is greater than or equal to the preset service life prediction model, generating vehicle door residual service life, and comparing the vehicle door residual service life with a preset service life threshold;
when the residual service life of the vehicle door is smaller than a preset service life threshold, judging that the vehicle door is abnormal, generating repair information, and repairing the vehicle door according to the repair information;
If the detected airflow information is smaller than the preset track deviation rate threshold value, acquiring airflow information in a preset area of the detected point in the opening and closing process of the vehicle door.
Optionally, in the method for testing fatigue durability of an automobile door according to the embodiment of the present application, if the fatigue durability is smaller than a preset track deviation threshold, acquiring airflow information in a preset area of a detection point in a door opening and closing process; comprising the following steps:
acquiring airflow information in a preset area of a door detection point, and generating pressure information of the detection point after the door is closed;
comparing the air pressure information of the detected point after the vehicle door is closed with preset air pressure information to obtain an air pressure deviation rate;
judging whether the air pressure deviation rate is larger than or equal to a preset air pressure deviation rate;
if the detected point is greater than or equal to the detected point, judging that the detected point is abnormal;
if the detected point is smaller than the preset value, judging that the detected point is normal.
In a second aspect, embodiments of the present application provide an automotive door fatigue durability test system, comprising: the memory comprises a program of an automobile door fatigue durability test method, and the program of the automobile door fatigue durability test method realizes the following steps when being executed by the processor:
acquiring automobile door parameter information, establishing a door model, and establishing a door detection point according to the door model to obtain position information of the door detection point;
Building a vehicle door test model, inputting position information of a vehicle door detection point, and outputting vehicle door test parameters;
collecting test information of a vehicle door detection point, and comparing the test information of the vehicle door detection point with preset test information to obtain a test deviation rate;
judging whether the test deviation rate is larger than or equal to a preset deviation rate threshold value;
if the fatigue degree is greater than or equal to the preset fatigue degree, generating defect information, and inputting the defect information into a preset life prediction model to obtain the fatigue degree data of the vehicle door;
if the vehicle door test parameters are smaller than the preset threshold value, the vehicle door test parameters are adjusted, and the test information is recorded in real time.
Optionally, in the system for testing fatigue durability of an automobile door according to the embodiment of the present application, the obtaining automobile door parameter information, and establishing a door model, establishing a door detection point according to the door model, and obtaining position information of the door detection point includes:
acquiring an automobile model, and acquiring standard car door size information, shape information and boundary information according to the automobile model;
performing vehicle door modeling according to the standard vehicle door size information, the shape information and the boundary information, and extracting edge points of the vehicle door model to obtain edge lines of the vehicle door model;
performing similarity calculation on edge lines of the vehicle door model and boundary information of a standard vehicle door to obtain edge similarity;
Judging whether the edge similarity is larger than or equal to a preset similarity threshold value;
if the vehicle door model is larger than or equal to the vehicle door model, judging that the modeling is successful, and meshing the vehicle door model;
if the vehicle door model parameter is smaller than the preset threshold value, boundary deviation information is generated, correction information is generated according to the boundary deviation information, and the vehicle door model parameter is adjusted according to the correction information.
Optionally, in the system for testing fatigue durability of an automobile door according to the embodiment of the present application, if the fatigue durability is greater than or equal to the threshold value, determining that the modeling is successful, and meshing the door model; comprising the following steps:
acquiring door boundary information, and acquiring door area information according to the door boundary information;
establishing a standard number of vehicle door grids according to the area information of the vehicle door area;
obtaining the grid division quantity, and subtracting the standard quantity from the grid division quantity to obtain a quantity difference value;
judging whether the quantity difference value is zero or not;
if the grid division is zero, the grid division is judged to be accurate;
if the difference value is not zero, judging that the difference value is a positive value or a negative value;
if the grid dividing number is positive, judging that the grid dividing number is larger than the standard number, and calculating the area of each grid; calculating the grid area and a preset grid area;
When the grid area is larger than the preset grid area, reserving the grid;
if the grid area is smaller than the preset grid area, calculating the grid area deviation rate;
judging whether the grid area deviation rate is larger than or equal to a preset area deviation rate threshold value or not;
if the area deviation rate is larger than or equal to a preset area deviation rate threshold value, combining the two corresponding grids;
and if the area deviation rate is smaller than the preset area deviation rate threshold value, sorting according to the grid areas, and merging in the reverse order according to the grid area sequence.
In a third aspect, embodiments of the present application further provide a computer readable storage medium, where the computer readable storage medium includes an automobile door fatigue durability test method program, where the automobile door fatigue durability test method program, when executed by a processor, implements the steps of the automobile door fatigue durability test method according to any one of the above.
As can be seen from the above, according to the method, the system and the medium for testing fatigue durability of an automobile door provided by the embodiments of the present application, the position information of the door detection point is obtained by obtaining the parameter information of the automobile door and establishing a door model, and establishing the door detection point according to the door model; building a vehicle door test model, inputting position information of a vehicle door detection point, and outputting vehicle door test parameters; collecting test information of a vehicle door detection point, and comparing the test information of the vehicle door detection point with preset test information to obtain a test deviation rate; judging whether the test deviation rate is larger than or equal to a preset deviation rate threshold value; if the fatigue degree is greater than or equal to the preset fatigue degree, generating defect information, and inputting the defect information into a preset life prediction model to obtain the fatigue degree data of the vehicle door; if the vehicle door test parameters are smaller than the preset threshold value, the vehicle door test parameters are adjusted, and test information is recorded in real time; and (3) carrying out endurance test on the vehicle door by establishing a vehicle door detection point, and adjusting vehicle door test parameters to realize life prediction under different states of the vehicle door.
Additional features and advantages of the application will be set forth in the description which follows, and in part will be obvious from the description, the claims, and the drawings, as well as the objects and advantages of the application may be realized and obtained by means of the instrumentalities particularly pointed out in the written description, claims, and drawings.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings that are needed in the embodiments of the present application will be briefly described below, it should be understood that the following drawings only illustrate some embodiments of the present application and should not be considered as limiting the scope, and other related drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
FIG. 1 is a flow chart of an automobile door fatigue durability test method provided in an embodiment of the present application;
FIG. 2 is a flow chart for adjusting parameters of a vehicle door model in the method for testing fatigue durability of a vehicle door according to an embodiment of the present application;
FIG. 3 is a flowchart of determining airflow information according to track information of a detection point of a vehicle door according to the method for testing fatigue durability of a vehicle door provided in the embodiment of the present application;
fig. 4 is a schematic structural diagram of an automobile door fatigue endurance test system according to an embodiment of the present application.
Detailed Description
The following description of the embodiments of the present application will be made clearly and completely with reference to the drawings in the embodiments of the present application, and it is apparent that the described embodiments are only some embodiments of the present application, not all embodiments. The components of the embodiments of the present application, which are generally described and illustrated in the figures herein, may be arranged and designed in a wide variety of different configurations. Thus, the following detailed description of the embodiments of the present application, as provided in the accompanying drawings, is not intended to limit the scope of the application, as claimed, but is merely representative of selected embodiments of the application. All other embodiments, which can be made by those skilled in the art based on the embodiments of the present application without making any inventive effort, are intended to be within the scope of the present application.
It should be noted that like reference numerals and letters refer to like items in the following figures, and thus once an item is defined in one figure, no further definition or explanation thereof is necessary in the following figures. Meanwhile, in the description of the present application, the terms "first", "second", and the like are used only to distinguish the description, and are not to be construed as indicating or implying relative importance.
Referring to fig. 1, fig. 1 is a flowchart of a method for testing fatigue durability of an automobile door according to some embodiments of the present application. The automobile door fatigue durability test method is used in terminal equipment and comprises the following steps:
s101, acquiring automobile door parameter information, establishing a door model, and establishing a door detection point according to the door model to obtain position information of the door detection point;
s102, constructing a vehicle door test model, inputting position information of a vehicle door detection point, and outputting vehicle door test parameters;
s103, collecting test information of a vehicle door detection point, and comparing the test information of the vehicle door detection point with preset test information to obtain a test deviation rate;
s104, judging whether the test deviation rate is larger than or equal to a preset deviation rate threshold value;
s105, if the vehicle door fatigue degree data is greater than or equal to the preset service life prediction model, generating defect information, and inputting the defect information into the preset service life prediction model to obtain the vehicle door fatigue degree data;
and S106, if the vehicle door test parameters are smaller than the preset threshold, the vehicle door test parameters are adjusted, and the test information is recorded in real time.
It should be noted that, through obtaining the car door parameter information, the parameter information of car door is all different, the position of car door check point is also different among the different motorcycle types, thereby can carry out accurate selection check point according to the parameter of car door, guarantee that the test result at check point is close to actual value more, improve the test accuracy, in addition, when the test information at check point appears great deviation, it shows that the car door appears the defect, according to the defect information input of car door presets life prediction model, can confirm car door fatigue degree data and the remaining life that the car door used, can make the judgement in advance, car door fatigue degree data can be regarded as car door maintenance and car door change's basis, car door fatigue degree data carries out the similarity judgement with fatigue standard data, when the similarity is greater than first fatigue threshold and is less than second fatigue threshold, it is in the fatigue scope that can maintain at this moment through fastening screw, the junction lubrication etc. multiple mode, when the similarity is greater than second fatigue degree, it is serious, it is then need carry out the car door change at this moment, in the car door change, in the process of carrying out, car door change, judge production time and the time difference is less than the factory time difference of factory time and is less than the factory time and the factory time is judged to be qualified.
Further, the first fatigue threshold is less than the second fatigue threshold, the first fatigue threshold is in the range of 10-60%, and the preferred first fatigue threshold is 50%; the second fatigue threshold value is in the range of 65-80%, and preferably the second fatigue threshold value is 75%, i.e. when the fatigue is greater than 75% during use of the door, the door needs to be replaced.
Referring to fig. 2, fig. 2 is a flow chart of adjusting parameters of a door model of an automobile door fatigue endurance test method according to some embodiments of the present application. According to the embodiment of the invention, the automobile door parameter information is acquired, the automobile door model is established, the automobile door detection point is established according to the automobile door model, and the position information of the automobile door detection point is obtained, and the method comprises the following steps:
s201, acquiring a car model, and acquiring standard car door size information, shape information and boundary information according to the car model;
s202, carrying out vehicle door modeling according to standard vehicle door size information, shape information and boundary information, and extracting edge points of a vehicle door model to obtain edge lines of the vehicle door model;
s203, calculating the similarity between the edge line of the vehicle door model and the boundary information of the standard vehicle door to obtain the edge similarity;
s204, judging whether the edge similarity is larger than or equal to a preset similarity threshold value;
S205, if the model is greater than or equal to the model, judging that the model is successful, and meshing the vehicle door model;
and S206, if the vehicle door model parameter is smaller than the preset threshold value, generating boundary deviation information, generating correction information according to the boundary deviation information, and adjusting the vehicle door model parameter according to the correction information.
It should be noted that, grid division is performed on the vehicle door model, the vehicle door edge is extracted, the shape and the area of the vehicle door are determined according to the vehicle door edge, the distribution positions of the detection points and the association degree between the detection points are determined according to the shape and the area, a certain linkage effect can be ensured on the test information of the adjacent detection points, the position of the vehicle door defect can be accurately judged by analyzing the deviation of the test information between the two adjacent detection points, and further the vehicle door is accurately maintained.
According to the embodiment of the invention, if the model is larger than or equal to the model, the model is judged to be successful, and the vehicle door model is subjected to grid division; comprising the following steps:
acquiring door boundary information, and acquiring door area information according to the door boundary information;
establishing a standard number of vehicle door grids according to the area information of the vehicle door area;
obtaining the grid division quantity, and subtracting the standard quantity from the grid division quantity to obtain a quantity difference value;
Judging whether the quantity difference value is zero or not;
if the grid division is zero, the grid division is judged to be accurate;
if the difference value is not zero, judging that the difference value is a positive value or a negative value;
if the grid dividing number is positive, judging that the grid dividing number is larger than the standard number, and calculating the area of each grid; calculating the grid area and a preset grid area;
when the grid area is larger than the preset grid area, reserving the grid;
if the grid area is smaller than the preset grid area, calculating the grid area deviation rate;
judging whether the grid area deviation rate is larger than or equal to a preset area deviation rate threshold value;
if the area deviation rate is larger than or equal to a preset area deviation rate threshold value, combining the two corresponding grids;
and if the area deviation rate is smaller than the preset area deviation rate threshold value, sorting according to the grid areas, and merging in the reverse order according to the grid area sequence.
When grid division is performed, the grid area is not too large or too small, so that the data analysis process is complicated, the analysis efficiency is reduced, and the deviation in the defect position analysis process is larger due to the fact that the area is too large; further, reverse order merging can be understood as: for example, the number of grids is 10, the grids are ordered according to the area from large to small, the grids are sequentially a first grid and a second grid until a tenth grid, when the grids are needed to be combined (namely, the grids are small in area or large in number), the tenth grid is combined with a ninth grid, the grids are ordered again according to the area from large to small, the grids are sequentially the first grid, the second grid and the ninth grid, then the area or the number of the grids is judged again, when the grids are needed to be combined again, the ninth grid is combined with an eighth grid, and so on.
According to the embodiment of the invention, a vehicle door test model is constructed, position information of a vehicle door detection point is input, and vehicle door test parameters are output, and the method comprises the following steps:
acquiring a vehicle door model, establishing a coordinate system, and acquiring the position coordinates of a vehicle door detection point;
comparing the position coordinates of the detection point of the vehicle door with preset position information to obtain a position deviation rate;
judging whether the position deviation rate is larger than or equal to a preset position deviation rate threshold value;
if the detection point position is greater than or equal to the detection point position, generating first adjustment information, and adjusting the detection point position according to the first adjustment information;
if the correlation degree is smaller than the preset correlation information, generating detection point linkage information, establishing detection point correlation information according to the detection point linkage information, and comparing the detection point correlation information with the preset correlation information to obtain the correlation degree;
judging whether the association degree is larger than or equal to a preset association degree threshold value;
if the correlation degree is larger than or equal to a preset correlation degree threshold value, establishing detection point distribution information, and generating detection point track information in the opening and closing process of the vehicle door according to the detection point distribution information;
and if the correlation degree is smaller than the correlation degree threshold value, generating second adjustment information, and adjusting the distribution information of the detection points according to the second adjustment information.
The method is characterized in that the track of the detection point in the opening and closing process of the vehicle door is judged, the track is identified and judged, when the vehicle door is defective, a large error is necessarily generated in the moving track of the vehicle door, and the defect position and defect type of the vehicle door can be accurately identified through the error of the judging track, so that the test effect of the vehicle door is improved.
Referring to fig. 3, fig. 3 is a flowchart of an automobile door fatigue endurance test method according to some embodiments of the present application for determining airflow information according to the track information of the door detection point. According to the embodiment of the invention, if the correlation degree is larger than or equal to a preset correlation degree threshold value, the detection point distribution information is established, and the detection point track information in the opening and closing process of the vehicle door is generated according to the detection point distribution information, and the method comprises the following steps:
s301, acquiring track information of a detection point, and comparing the track information of the detection point with preset track information to obtain a track deviation rate;
s302, judging whether the track deviation rate is larger than or equal to a preset track deviation rate threshold value;
s303, if the vehicle door failure information is greater than or equal to the preset service life prediction model, generating the residual service life of the vehicle door, and comparing the residual service life of the vehicle door with a preset service life threshold;
s304, when the residual service life of the vehicle door is smaller than a preset service life threshold, judging that the vehicle door is abnormal, generating repair information, and repairing the vehicle door according to the repair information;
s305, if the detected airflow information is smaller than the preset track deviation rate threshold value, acquiring airflow information in a preset area of a detection point in the opening and closing process of the vehicle door.
It should be noted that, when a large deviation occurs in the track of the vehicle door, it is indicated that the vehicle door has serious faults, and prediction of the residual life of the vehicle door is performed, so as to provide a basis for repairing the vehicle door.
According to the embodiment of the invention, if the deviation rate is smaller than the preset track deviation rate threshold value, acquiring airflow information in a preset area of a detection point in the opening and closing process of the vehicle door; comprising the following steps:
acquiring airflow information in a preset area of a door detection point, and generating pressure information of the detection point after the door is closed;
comparing the air pressure information of the detected point after the vehicle door is closed with preset air pressure information to obtain an air pressure deviation rate;
judging whether the air pressure deviation rate is larger than or equal to a preset air pressure deviation rate;
If the detected point is greater than or equal to the detected point, judging that the detected point is abnormal;
if the detected point is smaller than the preset value, judging that the detected point is normal.
According to an embodiment of the present invention, further comprising:
acquiring road parameter information, and establishing a vehicle door vibration model in the running process of the vehicle according to the road parameter information;
generating vehicle door vibration data according to the vehicle door vibration model;
comparing the vibration data of the vehicle door with preset vibration data to obtain a vibration deviation rate;
judging whether the vibration deviation rate is larger than or equal to a preset vibration deviation rate threshold value;
if the vibration of the vehicle door is greater than or equal to the vibration of the vehicle door, judging that the vibration of the vehicle door is abnormal;
if the vibration of the vehicle door is smaller than the vibration threshold value, judging that the vibration of the vehicle door is normal, and acquiring abrasion data of the sealing strip;
and identifying the service condition of the sealing strip in real time according to the abrasion data of the sealing strip.
It should be noted that, through judging door vibration data and carrying out real-time supervision sealing strip wearing and tearing data, when the sealing strip wearing and tearing are serious, can cause the influence to air current and the atmospheric pressure in the door closing process equally.
According to an embodiment of the present invention, further comprising:
acquiring sound data in the closing process of the vehicle door, and inputting the sound data into a sound evaluation model to obtain sound evaluation information;
comparing the sound evaluation information with preset sound evaluation information to obtain an evaluation value;
Judging whether the evaluation value is larger than or equal to a preset evaluation value;
if the evaluation score is greater than or equal to the evaluation score, generating an evaluation score and an evaluation record;
if the fatigue degree is smaller than the threshold value, generating sound defects, and analyzing the fatigue degree in the closing process of the vehicle door according to the sound defects.
The door closing sound is evaluated each time, scoring is performed by a grade scoring method, and the defect of the door closing sound can reflect the fatigue degree of the door and the damage condition of the door from the side surface, so that the door testing precision can be improved.
Referring to fig. 4, fig. 4 is a schematic structural diagram of an automobile door fatigue durability test system according to some embodiments of the present application. In a second aspect, embodiments of the present application provide an automotive door fatigue durability testing system 4, comprising: the memory 41 and the processor 42, the memory includes a program of the automobile door fatigue durability test method, and when the program of the automobile door fatigue durability test method is executed by the processor, the following steps are realized:
acquiring automobile door parameter information, establishing a door model, and establishing a door detection point according to the door model to obtain position information of the door detection point;
building a vehicle door test model, inputting position information of a vehicle door detection point, and outputting vehicle door test parameters;
Collecting test information of a vehicle door detection point, and comparing the test information of the vehicle door detection point with preset test information to obtain a test deviation rate;
judging whether the test deviation rate is larger than or equal to a preset deviation rate threshold value;
if the fatigue degree is greater than or equal to the preset fatigue degree, generating defect information, and inputting the defect information into a preset life prediction model to obtain the fatigue degree data of the vehicle door;
if the vehicle door test parameters are smaller than the preset threshold value, the vehicle door test parameters are adjusted, and the test information is recorded in real time.
It should be noted that, through obtaining the car door parameter information, the parameter information of car door is all different, the position of car door check point is also different among the different motorcycle types, thereby can carry out accurate selection check point according to the parameter of car door, guarantee that the test result at check point is close to actual value more, improve the test accuracy, in addition, when the test information at check point appears great deviation, it shows that the car door appears the defect, according to the defect information input of car door presets life prediction model, can confirm car door fatigue degree data and the remaining life that the car door used, can make the judgement in advance, car door fatigue degree data can be regarded as car door maintenance and car door change's basis, car door fatigue degree data carries out the similarity judgement with fatigue standard data, when the similarity is greater than first fatigue threshold and is less than second fatigue threshold, it is in the fatigue scope that can maintain at this moment through fastening screw, the junction lubrication etc. multiple mode, when the similarity is greater than second fatigue degree, it is serious, it is then need carry out the car door change at this moment, in the car door change, in the process of carrying out, car door change, judge production time and the time difference is less than the factory time difference of factory time and is less than the factory time and the factory time is judged to be qualified.
Further, the first fatigue threshold is less than the second fatigue threshold, the first fatigue threshold is in the range of 10-60%, and the preferred first fatigue threshold is 50%; the second fatigue threshold value is in the range of 65-80%, and preferably the second fatigue threshold value is 75%, i.e. when the fatigue is greater than 75% during use of the door, the door needs to be replaced.
According to the embodiment of the invention, the automobile door parameter information is acquired, the automobile door model is established, the automobile door detection point is established according to the automobile door model, and the position information of the automobile door detection point is obtained, and the method comprises the following steps:
acquiring an automobile model, and acquiring standard car door size information, shape information and boundary information according to the automobile model;
performing vehicle door modeling according to the standard vehicle door size information, the shape information and the boundary information, and extracting edge points of the vehicle door model to obtain edge lines of the vehicle door model;
performing similarity calculation on edge lines of the vehicle door model and boundary information of a standard vehicle door to obtain edge similarity;
judging whether the edge similarity is larger than or equal to a preset similarity threshold value;
if the vehicle door model is larger than or equal to the vehicle door model, judging that the modeling is successful, and meshing the vehicle door model;
if the vehicle door model parameter is smaller than the preset threshold value, boundary deviation information is generated, correction information is generated according to the boundary deviation information, and the vehicle door model parameter is adjusted according to the correction information.
It should be noted that, grid division is performed on the vehicle door model, the vehicle door edge is extracted, the shape and the area of the vehicle door are determined according to the vehicle door edge, the distribution positions of the detection points and the association degree between the detection points are determined according to the shape and the area, a certain linkage effect can be ensured on the test information of the adjacent detection points, the position of the vehicle door defect can be accurately judged by analyzing the deviation of the test information between the two adjacent detection points, and further the vehicle door is accurately maintained.
According to the embodiment of the invention, if the model is larger than or equal to the model, the model is judged to be successful, and the vehicle door model is subjected to grid division; comprising the following steps:
acquiring door boundary information, and acquiring door area information according to the door boundary information;
establishing a standard number of vehicle door grids according to the area information of the vehicle door area;
obtaining the grid division quantity, and subtracting the standard quantity from the grid division quantity to obtain a quantity difference value;
judging whether the quantity difference value is zero or not;
if the grid division is zero, the grid division is judged to be accurate;
if the difference value is not zero, judging that the difference value is a positive value or a negative value;
if the grid dividing number is positive, judging that the grid dividing number is larger than the standard number, and calculating the area of each grid; calculating the grid area and a preset grid area;
When the grid area is larger than the preset grid area, reserving the grid;
if the grid area is smaller than the preset grid area, calculating the grid area deviation rate;
judging whether the grid area deviation rate is larger than or equal to a preset area deviation rate threshold value;
if the area deviation rate is larger than or equal to a preset area deviation rate threshold value, combining the two corresponding grids;
and if the area deviation rate is smaller than the preset area deviation rate threshold value, sorting according to the grid areas, and merging in the reverse order according to the grid area sequence.
When grid division is performed, the grid area is not too large or too small, so that the data analysis process is complicated, the analysis efficiency is reduced, and the deviation in the defect position analysis process is larger due to the fact that the area is too large; further, reverse order merging can be understood as: for example, the number of grids is 10, the grids are ordered according to the area from large to small, the grids are sequentially a first grid and a second grid until a tenth grid, when the grids are needed to be combined (namely, the grids are small in area or large in number), the tenth grid is combined with a ninth grid, the grids are ordered again according to the area from large to small, the grids are sequentially the first grid, the second grid and the ninth grid, then the area or the number of the grids is judged again, when the grids are needed to be combined again, the ninth grid is combined with an eighth grid, and so on.
According to the embodiment of the invention, a vehicle door test model is constructed, position information of a vehicle door detection point is input, and vehicle door test parameters are output, and the method comprises the following steps:
acquiring a vehicle door model, establishing a coordinate system, and acquiring the position coordinates of a vehicle door detection point;
comparing the position coordinates of the detection point of the vehicle door with preset position information to obtain a position deviation rate;
judging whether the position deviation rate is larger than or equal to a preset position deviation rate threshold value;
if the detection point position is greater than or equal to the detection point position, generating first adjustment information, and adjusting the detection point position according to the first adjustment information;
if the correlation degree is smaller than the preset correlation information, generating detection point linkage information, establishing detection point correlation information according to the detection point linkage information, and comparing the detection point correlation information with the preset correlation information to obtain the correlation degree;
judging whether the association degree is larger than or equal to a preset association degree threshold value;
if the correlation degree is larger than or equal to a preset correlation degree threshold value, establishing detection point distribution information, and generating detection point track information in the opening and closing process of the vehicle door according to the detection point distribution information;
and if the correlation degree is smaller than the correlation degree threshold value, generating second adjustment information, and adjusting the distribution information of the detection points according to the second adjustment information.
The method is characterized in that the track of the detection point in the opening and closing process of the vehicle door is judged, the track is identified and judged, when the vehicle door is defective, a large error is necessarily generated in the moving track of the vehicle door, and the defect position and defect type of the vehicle door can be accurately identified through the error of the judging track, so that the test effect of the vehicle door is improved.
According to the embodiment of the invention, if the correlation degree is larger than or equal to a preset correlation degree threshold value, the detection point distribution information is established, and the detection point track information in the opening and closing process of the vehicle door is generated according to the detection point distribution information, and the method comprises the following steps:
acquiring track information of a detection point, and comparing the track information of the detection point with preset track information to obtain a track deviation rate;
judging whether the track deviation rate is larger than or equal to a preset track deviation rate threshold value;
if the vehicle door failure information is greater than or equal to the preset service life prediction model, generating vehicle door residual service life, and comparing the vehicle door residual service life with a preset service life threshold;
when the residual service life of the vehicle door is smaller than a preset service life threshold, judging that the vehicle door is abnormal, generating repair information, and repairing the vehicle door according to the repair information;
if the detected airflow information is smaller than the preset track deviation rate threshold value, acquiring airflow information in a preset area of the detected point in the opening and closing process of the vehicle door.
It should be noted that, when a large deviation occurs in the track of the vehicle door, it is indicated that the vehicle door has serious faults, and prediction of the residual life of the vehicle door is performed, so as to provide a basis for repairing the vehicle door.
According to the embodiment of the invention, if the deviation rate is smaller than the preset track deviation rate threshold value, acquiring airflow information in a preset area of a detection point in the opening and closing process of the vehicle door; comprising the following steps:
acquiring airflow information in a preset area of a door detection point, and generating pressure information of the detection point after the door is closed;
comparing the air pressure information of the detected point after the vehicle door is closed with preset air pressure information to obtain an air pressure deviation rate;
judging whether the air pressure deviation rate is larger than or equal to a preset air pressure deviation rate;
if the detected point is greater than or equal to the detected point, judging that the detected point is abnormal;
if the detected point is smaller than the preset value, judging that the detected point is normal.
According to an embodiment of the present invention, further comprising:
acquiring road parameter information, and establishing a vehicle door vibration model in the running process of the vehicle according to the road parameter information;
generating vehicle door vibration data according to the vehicle door vibration model;
comparing the vibration data of the vehicle door with preset vibration data to obtain a vibration deviation rate;
judging whether the vibration deviation rate is larger than or equal to a preset vibration deviation rate threshold value;
if the vibration of the vehicle door is greater than or equal to the vibration of the vehicle door, judging that the vibration of the vehicle door is abnormal;
if the vibration of the vehicle door is smaller than the vibration threshold value, judging that the vibration of the vehicle door is normal, and acquiring abrasion data of the sealing strip;
and identifying the service condition of the sealing strip in real time according to the abrasion data of the sealing strip.
It should be noted that, through judging door vibration data and carrying out real-time supervision sealing strip wearing and tearing data, when the sealing strip wearing and tearing are serious, can cause the influence to air current and the atmospheric pressure in the door closing process equally.
According to an embodiment of the present invention, further comprising:
acquiring sound data in the closing process of the vehicle door, and inputting the sound data into a sound evaluation model to obtain sound evaluation information;
comparing the sound evaluation information with preset sound evaluation information to obtain an evaluation value;
judging whether the evaluation value is larger than or equal to a preset evaluation value;
if the evaluation score is greater than or equal to the evaluation score, generating an evaluation score and an evaluation record;
if the fatigue degree is smaller than the threshold value, generating sound defects, and analyzing the fatigue degree in the closing process of the vehicle door according to the sound defects.
The door closing sound is evaluated each time, scoring is performed by a grade scoring method, and the defect of the door closing sound can reflect the fatigue degree of the door and the damage condition of the door from the side surface, so that the door testing precision can be improved.
A third aspect of the present invention provides a computer readable storage medium having embodied therein an automobile door fatigue durability test method program which, when executed by a processor, implements the steps of an automobile door fatigue durability test method as in any one of the above.
According to the method, the system and the medium for testing fatigue durability of the automobile door, disclosed by the invention, the position information of the automobile door detection point is obtained by acquiring the parameter information of the automobile door, establishing a door model and establishing the door detection point according to the door model; building a vehicle door test model, inputting position information of a vehicle door detection point, and outputting vehicle door test parameters; collecting test information of a vehicle door detection point, and comparing the test information of the vehicle door detection point with preset test information to obtain a test deviation rate; judging whether the test deviation rate is larger than or equal to a preset deviation rate threshold value; if the fatigue degree is greater than or equal to the preset fatigue degree, generating defect information, and inputting the defect information into a preset life prediction model to obtain the fatigue degree data of the vehicle door; if the vehicle door test parameters are smaller than the preset threshold value, the vehicle door test parameters are adjusted, and test information is recorded in real time; and (3) carrying out endurance test on the vehicle door by establishing a vehicle door detection point, and adjusting vehicle door test parameters to realize life prediction under different states of the vehicle door.
In the several embodiments provided in this application, it should be understood that the disclosed apparatus and method may be implemented in other ways; the above described device embodiments are only illustrative, e.g. the division of units is only one logical function division, and there may be other divisions in actual implementation, such as: multiple units or components may be combined, or may be integrated into another system, or some features may be omitted, or not performed; in addition, the various components shown or discussed may be coupled or directly coupled or communicatively coupled to each other via some interface, whether indirectly coupled or communicatively coupled to devices or units, whether electrically, mechanically, or otherwise.
The units described above as separate components may or may not be physically separate, and components shown as units may or may not be physical units; can be located in one place or distributed to a plurality of network units; some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.
In addition, each functional unit in each embodiment of the present invention may be integrated in one processing unit, or each unit may be separately used as one unit, or two or more units may be integrated in one unit; the integrated units may be implemented in hardware or in hardware plus software functional units.
Those of ordinary skill in the art will appreciate that: all or part of the steps for implementing the above method embodiments may be implemented by hardware related to program instructions, and the foregoing program may be stored in a readable storage medium, where the program, when executed, performs steps including the above method embodiments; and the aforementioned storage medium includes: a mobile storage device, a Read-Only Memory (ROM), a random access Memory (RAM, random Access Memory), a magnetic disk or an optical disk, or the like, which can store program codes.
Alternatively, the above-described integrated units of the present invention may be stored in a readable storage medium if implemented in the form of software functional modules and sold or used as separate products. Based on such understanding, the technical solution of the embodiments of the present invention may be embodied in essence or a part contributing to the prior art in the form of a software product stored in a storage medium, including several instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to execute all or part of the methods described in the embodiments of the present invention; and the aforementioned storage medium includes: a removable storage device, ROM, RAM, magnetic or optical disk, or other medium capable of storing program code.
Claims (10)
1. The method for testing the fatigue durability of the automobile door is characterized by comprising the following steps of:
acquiring automobile door parameter information, establishing a door model, and establishing a door detection point according to the door model to obtain position information of the door detection point;
building a vehicle door test model, inputting position information of a vehicle door detection point, and outputting vehicle door test parameters;
collecting test information of a vehicle door detection point, and comparing the test information of the vehicle door detection point with preset test information to obtain a test deviation rate;
Judging whether the test deviation rate is larger than or equal to a preset deviation rate threshold value;
if the fatigue degree is greater than or equal to the preset fatigue degree, generating defect information, and inputting the defect information into a preset life prediction model to obtain the fatigue degree data of the vehicle door;
if the vehicle door test parameters are smaller than the preset threshold value, the vehicle door test parameters are adjusted, and the test information is recorded in real time.
2. The method for testing fatigue durability of an automobile door according to claim 1, wherein the steps of obtaining automobile door parameter information, establishing a door model, establishing a door detection point according to the door model, and obtaining position information of the door detection point comprise:
acquiring an automobile model, and acquiring standard car door size information, shape information and boundary information according to the automobile model;
performing vehicle door modeling according to the standard vehicle door size information, the shape information and the boundary information, and extracting edge points of the vehicle door model to obtain edge lines of the vehicle door model;
performing similarity calculation on edge lines of the vehicle door model and boundary information of a standard vehicle door to obtain edge similarity;
judging whether the edge similarity is larger than or equal to a preset similarity threshold value;
if the vehicle door model is larger than or equal to the vehicle door model, judging that the modeling is successful, and meshing the vehicle door model;
If the vehicle door model parameter is smaller than the preset threshold value, boundary deviation information is generated, correction information is generated according to the boundary deviation information, and the vehicle door model parameter is adjusted according to the correction information.
3. The method for testing fatigue durability of an automobile door according to claim 2, wherein if the value is greater than or equal to the threshold value, determining that the modeling is successful, and meshing the door model; comprising the following steps:
acquiring door boundary information, and acquiring door area information according to the door boundary information;
establishing a standard number of vehicle door grids according to the area information of the vehicle door area;
obtaining the grid division quantity, and subtracting the standard quantity from the grid division quantity to obtain a quantity difference value;
judging whether the quantity difference value is zero or not;
if the grid division is zero, the grid division is judged to be accurate;
if the difference value is not zero, judging that the difference value is a positive value or a negative value;
if the grid dividing number is positive, judging that the grid dividing number is larger than the standard number, and calculating the area of each grid; calculating the grid area and a preset grid area;
when the grid area is larger than the preset grid area, reserving the grid;
if the grid area is smaller than the preset grid area, calculating the grid area deviation rate;
judging whether the grid area deviation rate is larger than or equal to a preset area deviation rate threshold value or not;
If the area deviation rate is larger than or equal to a preset area deviation rate threshold value, combining the two corresponding grids;
and if the area deviation rate is smaller than the preset area deviation rate threshold value, sorting according to the grid areas, and merging in the reverse order according to the grid area sequence.
4. The method for testing fatigue durability of an automobile door according to claim 3, wherein the constructing a door test model, inputting position information of a door detection point, and outputting door test parameters, comprises:
acquiring a vehicle door model, establishing a coordinate system, and acquiring the position coordinates of a vehicle door detection point;
comparing the position coordinates of the detection point of the vehicle door with preset position information to obtain a position deviation rate;
judging whether the position deviation rate is larger than or equal to a preset position deviation rate threshold value;
if the detection point position is greater than or equal to the detection point position, generating first adjustment information, and adjusting the detection point position according to the first adjustment information;
if the correlation degree is smaller than the preset correlation information, generating detection point linkage information, establishing detection point correlation information according to the detection point linkage information, and comparing the detection point correlation information with the preset correlation information to obtain the correlation degree;
judging whether the association degree is larger than or equal to a preset association degree threshold value;
If the correlation degree is larger than or equal to a preset correlation degree threshold value, establishing detection point distribution information, and generating detection point track information in the opening and closing process of the vehicle door according to the detection point distribution information;
and if the correlation degree is smaller than the correlation degree threshold value, generating second adjustment information, and adjusting the distribution information of the detection points according to the second adjustment information.
5. The method for testing fatigue durability of an automobile door according to claim 4, wherein if the correlation degree is greater than or equal to a preset correlation degree threshold, establishing detection point distribution information, and generating detection point track information in the opening and closing process of the automobile door according to the detection point distribution information, comprising:
acquiring track information of a detection point, and comparing the track information of the detection point with preset track information to obtain a track deviation rate;
judging whether the track deviation rate is larger than or equal to a preset track deviation rate threshold value;
if the vehicle door failure information is greater than or equal to the preset service life prediction model, generating vehicle door residual service life, and comparing the vehicle door residual service life with a preset service life threshold;
when the residual service life of the vehicle door is smaller than a preset service life threshold, judging that the vehicle door is abnormal, generating repair information, and repairing the vehicle door according to the repair information;
If the detected airflow information is smaller than the preset track deviation rate threshold value, acquiring airflow information in a preset area of the detected point in the opening and closing process of the vehicle door.
6. The method for testing fatigue durability of an automobile door according to claim 5, wherein if the fatigue durability is smaller than a preset track deviation threshold, acquiring airflow information in a preset area of a detection point in the opening and closing process of the automobile door; comprising the following steps:
acquiring airflow information in a preset area of a door detection point, and generating pressure information of the detection point after the door is closed;
comparing the air pressure information of the detected point after the vehicle door is closed with preset air pressure information to obtain an air pressure deviation rate;
judging whether the air pressure deviation rate is larger than or equal to a preset air pressure deviation rate;
if the detected point is greater than or equal to the detected point, judging that the detected point is abnormal;
if the detected point is smaller than the preset value, judging that the detected point is normal.
7. An automobile door fatigue durability test system, comprising: the memory comprises a program of an automobile door fatigue durability test method, and the program of the automobile door fatigue durability test method realizes the following steps when being executed by the processor:
acquiring automobile door parameter information, establishing a door model, and establishing a door detection point according to the door model to obtain position information of the door detection point;
Building a vehicle door test model, inputting position information of a vehicle door detection point, and outputting vehicle door test parameters;
collecting test information of a vehicle door detection point, and comparing the test information of the vehicle door detection point with preset test information to obtain a test deviation rate;
judging whether the test deviation rate is larger than or equal to a preset deviation rate threshold value;
if the fatigue degree is greater than or equal to the preset fatigue degree, generating defect information, and inputting the defect information into a preset life prediction model to obtain the fatigue degree data of the vehicle door;
if the vehicle door test parameters are smaller than the preset threshold value, the vehicle door test parameters are adjusted, and the test information is recorded in real time.
8. The system for testing fatigue durability of an automobile door according to claim 7, wherein the steps of obtaining the parameter information of the automobile door, establishing a door model, establishing a door detection point according to the door model, and obtaining the position information of the door detection point, comprise:
acquiring an automobile model, and acquiring standard car door size information, shape information and boundary information according to the automobile model;
performing vehicle door modeling according to the standard vehicle door size information, the shape information and the boundary information, and extracting edge points of the vehicle door model to obtain edge lines of the vehicle door model;
performing similarity calculation on edge lines of the vehicle door model and boundary information of a standard vehicle door to obtain edge similarity;
Judging whether the edge similarity is larger than or equal to a preset similarity threshold value;
if the vehicle door model is larger than or equal to the vehicle door model, judging that the modeling is successful, and meshing the vehicle door model;
if the vehicle door model parameter is smaller than the preset threshold value, boundary deviation information is generated, correction information is generated according to the boundary deviation information, and the vehicle door model parameter is adjusted according to the correction information.
9. The system for testing fatigue durability of an automobile door according to claim 8, wherein if the model is greater than or equal to the model, the model is determined to be successful, and the door model is meshed; comprising the following steps:
acquiring door boundary information, and acquiring door area information according to the door boundary information;
establishing a standard number of vehicle door grids according to the area information of the vehicle door area;
obtaining the grid division quantity, and subtracting the standard quantity from the grid division quantity to obtain a quantity difference value;
judging whether the quantity difference value is zero or not;
if the grid division is zero, the grid division is judged to be accurate;
if the difference value is not zero, judging that the difference value is a positive value or a negative value;
if the grid dividing number is positive, judging that the grid dividing number is larger than the standard number, and calculating the area of each grid; calculating the grid area and a preset grid area;
When the grid area is larger than the preset grid area, reserving the grid;
if the grid area is smaller than the preset grid area, calculating the grid area deviation rate;
judging whether the grid area deviation rate is larger than or equal to a preset area deviation rate threshold value or not;
if the area deviation rate is larger than or equal to a preset area deviation rate threshold value, combining the two corresponding grids;
and if the area deviation rate is smaller than the preset area deviation rate threshold value, sorting according to the grid areas, and merging in the reverse order according to the grid area sequence.
10. A computer-readable storage medium, characterized in that the computer-readable storage medium includes therein an automobile door fatigue durability test method program, which when executed by a processor, implements the steps of the automobile door fatigue durability test method according to any one of claims 1 to 6.
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|---|---|---|---|---|
| CN116701236A (en) * | 2023-08-08 | 2023-09-05 | 贵州通利数字科技有限公司 | APP testing method, system and readable storage medium |
| CN116701236B (en) * | 2023-08-08 | 2023-10-03 | 贵州通利数字科技有限公司 | APP testing method, system and readable storage medium |
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