CN108363842A - A kind of impact evaluation method and system based on the adjustment of seat R point Z values - Google Patents
A kind of impact evaluation method and system based on the adjustment of seat R point Z values Download PDFInfo
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- CN108363842A CN108363842A CN201810072166.2A CN201810072166A CN108363842A CN 108363842 A CN108363842 A CN 108363842A CN 201810072166 A CN201810072166 A CN 201810072166A CN 108363842 A CN108363842 A CN 108363842A
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- G06F30/10—Geometric CAD
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Abstract
The invention discloses a kind of impact evaluation method and system based on the adjustment of seat R point Z values, belong to automobile research design field, including：Be pre-created include multiple assessment factors vehicle type structure tree, and establish the corresponding multiple assessment models of multiple assessment factors；It receives user and is directed to the R point Z values and its adjustment amount that target vehicle structure tree is inputted；According to multiple assessment models, the result of variations for multiple assessment factors that the adjustment amounts of R point Z values is influenced is obtained；And analysis assessment is carried out respectively to multiple result of variations, and export corresponding assessment information.The embodiment of the present invention can analyze to comprehensive system the adjustment of assessment R point Z values to the coverage and its influence degree caused by multiple assessment factors, the evaluation work efficiency of the adjusting range to R point Z values is improved, and reduces and the adjusting range of R point Z values is carried out assessing required human cost.
Description
Technical field
The present invention relates to automobile research design field, more particularly to a kind of influence based on the adjustment of seat R point Z values is commented
Estimate method and system.
Background technology
Automotive seat is interior and the most direct contact of occupant, automotive seat and other households, Public seat it is basic
Function is the same, only in passenger car under this specific environment, attached many additional functions and requirement.Such as seat
Can be front and back, up and down adjustment；Backrest can lean forward, hypsokinesis；Seat can be with 360 degree rotation；Back seat can fold, and turn over
Turn；Headrest can upper and lower, front and back adjusting；DVD display screens etc. can be equipped；Cushion can adjust the angle；Seat has massage, leads to
Wind etc. further increases function of comfort etc..Therefore, a part of the seat as vehicle is just playing increasing work
With so seat arrangement and the quality of design will directly influence the comfort and driving experience of passenger.
Wherein, the determination of R points directly affects the arrangement of vehicle, and so-called " R points " is trunk i.e. " seating reference point "
The hinged intersection point of line and thigh center line, also referred to as " seating reference point ", for using two-dimension human body template or three-dimensional survey
Dummy is measured to define or measure the seat position of vehicle.R points are the starting points of entire comfort parameter designing, once R points are true
Determine to get off, other parameters also just determine substantially, such as the visual field, R points determine eye ellipse, V1, V2, and E1, E2 etc. are crucial
Eyespot.And many other auto parts are all to be influenced to determine by eye ellipse or eyespot.If the selection of R points is unreasonable,
His parts system may just not meet requiring for national legislation.Therefore when arranging or adjusting R point Z values, it is difficult to neglect
Slightly comfort and problem of appearance and laws and regulations requirement need all to check and balance correlation properties.
However, in the prior art, the influence problem adjusted for R point Z values there is no to carry out the evaluation scheme of network analysis.
Invention content
The purpose of the present invention is to provide a kind of impact evaluation method and system based on the adjustment of seat R point Z values, with comprehensive
The systematically coverage and its influence degree caused by the adjustment of analysis assessment seat R point Z values.
To achieve the above object, the present invention provides following technical solutions：
In a first aspect, a kind of impact evaluation method adjusted based on seat R point Z values is provided, the method includes：
Be pre-created include multiple assessment factors vehicle type structure tree, and establish the multiple assessment factor and correspond to respectively
Multiple assessment models, the multiple assessment factor includes multiple apparent size factors, the multiple regulation influenced by R point Z values
It is required that factor and multiple seat comfort sexual factors；
It receives user and is directed to the R point Z values and its adjustment amount that target vehicle structure tree is inputted；
According to multiple assessment models, the multiple assessment factor that the adjustment amounts of the R points Z values is influenced is obtained
Result of variations；And
Analysis assessment is carried out respectively to multiple result of variations, and exports corresponding assessment information.
With reference to first aspect, in the first possible implementation, institute is described establishes the multiple assessment factor difference
Corresponding multiple assessment models include：
The corresponding multiple assessment moulds of the multiple assessment factor defined in the engineering knowledge module of Catia softwares
Type.
With reference to first aspect or the first possible realization method of first aspect, in second of possible realization method
In, the multiple assessment models include at least one of preset formula, preset rules and default inspection sentence.
Second of possible realization method with reference to first aspect, it is the multiple in the third possible realization method
Assessment models are described according to multiple assessment models using the R point Z values as parameterized variables, obtain the R points Z values
The result of variations of the multiple assessment factor that is influenced of adjustment amount include：
According to the R point Z values and its adjustment amount, the R points Z values after adjustment are obtained；
The R point Z values after the R point Z values, adjustment are included into the multiple assessment factor as parameterized variables respectively
In corresponding assessment models, after obtaining assessed value and the adjustment of the corresponding the multiple assessment factor of the R points Z values
The corresponding the multiple assessment factor of the R points Z values assessed value；
The assessed value for comparing the corresponding the multiple assessment factor of the R points Z values is corresponding with the R point Z values after adjustment
The multiple assessment factor assessed value, obtain the result of variations of the multiple assessment factor.
Second of possible realization method with reference to first aspect, in the 4th kind of possible realization method, at the 4th kind
In possible realization method, the multiple assessment models are using the adjustment amount of the R points Z values as parameterized variables, described
According to multiple assessment models, the result of variations packet for the multiple assessment factor that the adjustment amounts of the R points Z values is influenced is obtained
It includes：
The adjustment amount of the R points Z values is included into the corresponding assessment of the multiple assessment factor as parameterized variables
In model, the result of variations of the corresponding the multiple assessment factor of the R points Z values is obtained.
Second aspect provides a kind of impact evaluation system adjusted based on seat R point Z values, the system comprises：
Creation module, for be pre-created include multiple assessment factors vehicle type structure tree, and establish the multiple comment
Estimate the corresponding multiple assessment models of factor, the multiple assessment factor includes the multiple apparent sizes influenced by R point Z values
Factor, multiple laws and regulations requirement factors and multiple seat comfort sexual factors；
Receiving module is directed to the R point Z values and its adjustment amount that target vehicle structure tree is inputted for receiving user；
Acquisition module, the adjustment amount for according to multiple assessment models, obtaining the R points Z values are influenced described
The result of variations of multiple assessment factors；And
Evaluation module, for carrying out analysis assessment respectively to multiple result of variations；
Output module, for exporting corresponding assessment information.
In conjunction with second aspect, in the first possible implementation, the creation module is specifically used for：
The corresponding multiple assessment moulds of the multiple assessment factor defined in the engineering knowledge module of Catia softwares
Type.
In conjunction with the possible realization method of the first of second aspect or second aspect, in second of possible realization method
In, the multiple assessment models include at least one of preset formula, preset rules and default inspection sentence.
In conjunction with second of possible realization method of second aspect, in the third possible realization method, the acquisition
Module is specifically used for：
Using the R point Z values as parameterized variables, the acquisition module is specifically used for the multiple assessment models：
According to the R point Z values and its adjustment amount, the R points Z values after adjustment are obtained；
The R point Z values after the R point Z values, adjustment are included into the multiple assessment factor as parameterized variables respectively
In corresponding assessment models, after obtaining assessed value and the adjustment of the corresponding the multiple assessment factor of the R points Z values
The corresponding the multiple assessment factor of the R points Z values assessed value；
The assessed value for comparing the corresponding the multiple assessment factor of the R points Z values is corresponding with the R point Z values after adjustment
The multiple assessment factor assessed value, obtain the result of variations of the multiple assessment factor.
It is the multiple in the 4th kind of possible realization method in conjunction with second of possible realization method of second aspect
Using the adjustment amount of the R points Z values as parameterized variables, the acquisition module is specifically used for assessment models：
The adjustment amount of the R points Z values is included into the corresponding assessment of the multiple assessment factor as parameterized variables
In model, the result of variations of the corresponding the multiple assessment factor of the R points Z values is obtained.
The advantageous effect that technical solution provided in an embodiment of the present invention is brought is：
1, using the method for parametrization, regulation, size, the seat comfort influenced when being adjusted on R points and its Z values
Automated analysis is carried out etc. multiple assessment factors；
2, the adjustment of assessment R point Z values is analyzed to comprehensive system to the coverage and its shadow caused by multiple assessment factors
The degree of sound, improves the evaluation work efficiency of the adjusting range to R point Z values, and reduce to the adjusting ranges of R point Z values into
Human cost needed for row assessment；
3, it realizes the automated analysis for multiple assessment factors that the when of being adjusted on R point Z values is influenced and can carry out
The judgement and prompt of intelligence, improve the efficiency of seat arrangement and design.
Description of the drawings
To describe the technical solutions in the embodiments of the present invention more clearly, make required in being described below to embodiment
Attached drawing is briefly described, it should be apparent that, drawings in the following description are only some embodiments of the invention, for
For those of ordinary skill in the art, without creative efforts, other are can also be obtained according to these attached drawings
Attached drawing.
Fig. 1 is a kind of impact evaluation method flow signal adjusted based on seat R point Z values provided in an embodiment of the present invention
Figure；
Fig. 2 a are the interface schematic diagram to target vehicle structure tree provided in an embodiment of the present invention；
Fig. 2 b are the interface signal for the multiple assessment factors for including in target vehicle structure tree provided in an embodiment of the present invention
Figure；
Fig. 3 is a kind of impact evaluation system structure diagram adjusted based on seat R point Z values provided by the invention.
Specific implementation mode
To make the object, technical solutions and advantages of the present invention clearer, below in conjunction with attached in the embodiment of the present invention
Figure, technical scheme in the embodiment of the invention is clearly and completely described, it is clear that described embodiment is only this
Invention a part of the embodiment, instead of all the embodiments.Based on the embodiments of the present invention, those of ordinary skill in the art exist
The every other embodiment obtained under the premise of creative work is not made, shall fall within the protection scope of the present invention.
It is provided in an embodiment of the present invention based on seat R point Z values adjustment impact evaluation method, can be based on Catia softwares,
CAVA softwares, Ramsis softwares, can automated analysis seat R points influenced when Z-direction is adjusted regulation, size, seat
Multiple assessment factors such as chair comfort, while can voluntarily change the judgement and prompt for carrying out intelligence in Z-direction to R points, to real
Analyzing with having showed comprehensive system influences caused by the adjustment of assessment seat R point Z values, improves the influence model adjusted to R point Z values
The evaluation work efficiency enclosed, and reduce and the adjusting range of R point Z values is carried out assessing required human cost.
It should be noted that method provided in an embodiment of the present invention can be applied to carry out the R points of front-row seats in Z-direction
In the analysis assessment that multiple assessment factors such as the regulation, size, the seat comfort that are influenced when adjustment carry out, it can also be applied to
Multiple assessment factors such as regulation, size, the seat comfort influenced on the R of back seat points when Z-direction is adjusted carry out
Analysis assessment in.
Embodiment one
It is shown referring to Fig.1 an embodiment of the present invention provides a kind of impact evaluation method based on the adjustment of seat R point Z values, it should
Method includes the following steps：
101, be pre-created include multiple assessment factors vehicle type structure tree, and establish multiple assessment factors and correspond to respectively
Multiple assessment models.
Wherein, vehicle type structure tree includes the environmental data and analysis data of vehicle, wherein：
Environmental data includes the crew module of required analysis vehicle and the data on exterior trim surface, and crew module's data include vehicle body shape
Shape and other interior parameters, such as windshield, instrument board, eye ellipse, H point, heel point etc..The shape of body shape is determined
The space of passenger and part is determined.
Analysis data packet contains：(1) R points are defined R point Z values with its adjustment amount；(2) multiple GeometrySet
(geometric figure collection), each GeometrySet correspond to an assessment factor；R point Z values and its adjustment amount are determined by user
Justice automatically analyzes the adjustment of R point Z values by the corresponding assessment models of each assessment factor, obtains each assessment factor
Result of variations.
Wherein, multiple assessment factors include the multiple apparent size factors influenced by R point Z values, multiple laws and regulations requirements because
Plain and multiple seat comfort sexual factors.
Illustratively, the multiple assessment factors that can be influenced for the adjustment of front-row seats R point Z values may include：
(1) the peeling point position of dummy changes, and seat comfort is affected；
(2) door opening enters size H11-1, H11-1SR etc.；
(3) front-seat HOP ON-CHOP OFF；
(4) door shield handrail height；
(5) armrest height；
(6) influence of cushion foam thickness and shape to comfort；
(7) variation of the seat back regions for back-supported, the influence of backrest height；
(8) variation of the corresponding zone of comfort of height of headrest；
(9) variation of point height is fixed on safety belt；
(10) influence of safety belt comfort；
(11) variation of head space；
(12) head airbag requires the variation in region；
(13) variation in buttocks space；
(14) influence of side impact；
(15) comfort of the attachmentes such as ceiling handle, reading lamp, loud speaker influences；
(16) variation of field of lateral vision；
(17) under safety belt effective fixed point region variation；
(18) variation of human body sitting posture, eyespot eye ellipse position etc., the accordance requirement for field of front vision regulation；
(19) between dummy and steering wheel leg room variation；
(20) internal projection laws and regulations requirement includes FMVSS201；
(21) influence of front-seat air outlet angle requirement；
(22) field of front vision sees edge after hair net, instrument board Defroster Outlet, the variations such as glass black surround；
(23) variation of blind area distance before and after, and sees the variation at a distance from signal lamp；
(24) hand touches the variation of range, including door shield upper switch, and hair net opens switch, the operations such as fuel tank flap switch
The variation of comfort；
(25) variation of sunshading board requirement for height；
(26) inside rear-view mirror position, the variation of the requirement of laws and regulations requirement area of visual field；
(27) outside rear-view mirror position, the variation of the requirement of laws and regulations requirement area of visual field；
(28) influence of Siegelung, the influence of each reflection region, dazzling influence；
(29) instrument board, drive range, on auxiliary fasia console the operating comfort of related accessories variation；
(30) combination instrument blind area is checked, to its visual influence；
(31) variation of auxiliary fasia console and dummy's shank leg rest comfort；
(32) variation of the distance change or manual position of seat operation component and door shield；
(33) the possible variation in defrosting region of laws and regulations requirement；
(34) for the influence of the effect of the anti-dive of seat.
Specifically, the process for establishing the corresponding multiple assessment models of multiple assessment factors may include：
The corresponding multiple assessment models of the multiple assessment factors defined in the engineering knowledge module of Catia softwares.
Wherein, multiple assessment models include at least one of preset formula, preset rules and default inspection sentence.
The embodiment of the present invention is not limited specific definition procedure.
102, it receives user and is directed to the R point Z values and its adjustment amount that target vehicle structure tree is inputted.
Wherein, target vehicle is to carry out the vehicle of analysis assessment, and R point Z values, that is, R points are in the numerical value of Z-direction, user
The R point Z values inputted for target vehicle structure tree in definition interfaces can be an empirical value；The adjustment that R point Z values are carried out
It is that R points are raised and lowered, the adjustment amount of the R point Z values can be set by according to a fixed step size, and the present invention is implemented
Example is not limited specific adjustment amount.For example, R point Z values are 270mm, the adjustment amount of R point Z values is -10mm, then automatically
It is 260mm to calculate the R point Z values after adjustment.
The embodiment of the present invention is not limited specific receive process.
103, according to multiple assessment models, the variation knot for multiple assessment factors that the adjustment amounts of R point Z values is influenced is obtained
Fruit.
Specifically, multiple assessment models using R point Z values as parameterized variables when, which may include：
According to R point Z values and its adjustment amount, the R point Z values after adjustment are obtained；
It is included into that multiple assessment factors are corresponding to be commented using the R point Z values after R point Z values, adjustment as parameterized variables respectively
Estimate in model, obtains the assessed value of the corresponding multiple assessment factors of R point Z values and R point Z values after adjustment are corresponding multiple comments
Estimate the assessed value of factor；
Compare assessed value multiple assessments corresponding with the R point Z values after adjustment of the corresponding multiple assessment factors of R point Z values because
The assessed value of element, obtains the result of variations of multiple assessment factors.
Specifically, multiple assessment models using the adjustment amount of R point Z values as parameterized variables when, which can also wrap
It includes：
The adjustment amount of R point Z values is included into as parameterized variables in the corresponding assessment models of multiple assessment factors, is obtained
To the result of variations of the corresponding multiple assessment factors of R point Z values.
The embodiment of the present invention is not limited specific acquisition process.
104, analysis assessment is carried out respectively to multiple result of variations, and exports corresponding assessment information.
Wherein, when assessment factor is apparent size factor, the process that multiple result of variations are carried out with analysis assessment respectively can
To include：
Based on Catia softwares, analysis assessment is carried out to the result of variations of appearance size factor.
Wherein, when assessment factor is laws and regulations requirement factor, the process that multiple result of variations are carried out with analysis assessment respectively can
To include：
Based on the CAVA modules being integrated in Catia softwares, analysis assessment is carried out to the result of variations of laws and regulations requirement factor.
Wherein, when assessment factor is seat comfort sexual factor, multiple result of variations are carried out with the process of analysis assessment respectively
May include：
Based on the Ramsis modules being integrated in Catia softwares, analysis is carried out to the result of variations of laws and regulations requirement factor and is commented
Estimate.
For the method for making those skilled in the art be further understood that the embodiment of the present invention, below in conjunction with attached drawing to this
The method of inventive embodiments is further described, and with reference to shown in Fig. 2 a and Fig. 2 b, Fig. 2 a is provide the embodiment of the present invention
Target vehicle structure tree interface schematic diagram, Fig. 2 b be target vehicle structure tree provided in an embodiment of the present invention in include it is more
The interface schematic diagram of a assessment factor；User can be defined R point Z values and its adjustment amount, and the process that is specifically defined is mesh vehicle
Type structure tree → analysis data → R points _ correlation hard spot size → Parameters → Rz is defined R point Z values, Yi Ji
R_variation under Paremeters is defined the adjustment amount of R point Z values, by each under analysis data
GeometrySet (i.e. each assessment factor corresponding assessment models) automatically analyzes the adjustment of R point Z values, to
Obtain the result of variations of each assessment factor.
An embodiment of the present invention provides a kind of impact evaluation methods based on the adjustment of seat R point Z values, by being pre-created packet
Vehicle type structure tree containing multiple assessment factors, and establish the corresponding multiple assessment models of multiple assessment factors, Yi Jijie
It receives user and is directed to the R point Z values and its adjustment amount that target vehicle structure tree is inputted, and according to according to multiple assessment models, obtain R
The result of variations for multiple assessment factors that the adjustment amount of point Z values is influenced, and then multiple result of variations are carried out with analysis respectively and is commented
Estimate, and exports corresponding assessment information, the regulation influenced when being adjusted on R points and its Z values to realize, size, seat
Multiple assessment factors such as chair comfort carry out automated analysis, can analyze to comprehensive system the adjustment of assessment R point Z values to multiple
Coverage caused by assessment factor and its influence degree which thereby enhance the evaluation work effect to the adjusting range of R point Z values
Rate, and reduce and the adjusting range of R point Z values is carried out assessing required human cost；In addition, designer arrangement or
When person adjusts R point Z values, can quick, size, laws and regulations requirement and seat comfort that comprehensively R point Z values are influenced etc. it is multiple
Assessment factor makes intelligent judgement and prompt, and provides reasonability suggestion, to further improve seat arrangement and design
Efficiency.
Embodiment two
An embodiment of the present invention provides a kind of impact evaluation systems based on the adjustment of seat R point Z values, should with reference to shown in Fig. 3
System 3 includes：
Creation module 31, for be pre-created include multiple assessment factors vehicle type structure tree, and establish multiple assessments
The corresponding multiple assessment models of factor, multiple assessment factors include the multiple apparent size factors influenced by R point Z values,
Multiple laws and regulations requirement factors and multiple seat comfort sexual factors；
Receiving module 32 is directed to the R point Z values and its adjustment amount that target vehicle structure tree is inputted for receiving user；
Acquisition module 33, multiple assessments that the adjustment amount for according to multiple assessment models, obtaining R point Z values is influenced because
The result of variations of element；And
Evaluation module 34, for carrying out analysis assessment respectively to multiple result of variations；
Output module 35, for exporting corresponding assessment information.
Preferably, creation module 31 is specifically used for：
The corresponding multiple assessment models of the multiple assessment factors defined in the engineering knowledge module of Catia softwares.
Preferably, multiple assessment models include at least one of preset formula, preset rules and default inspection sentence.
Preferably, multiple assessment models are using R point Z values as parameterized variables,
Acquisition module 33 is specifically used for：
According to R point Z values and its adjustment amount, the R point Z values after adjustment are obtained；
It is included into that multiple assessment factors are corresponding to be commented using the R point Z values after R point Z values, adjustment as parameterized variables respectively
Estimate in model, obtains the assessed value of the corresponding multiple assessment factors of R point Z values and R point Z values after adjustment are corresponding multiple comments
Estimate the assessed value of factor；
Compare assessed value multiple assessments corresponding with the R point Z values after adjustment of the corresponding multiple assessment factors of R point Z values because
The assessed value of element, obtains the result of variations of multiple assessment factors.
Preferably, multiple assessment models using the adjustment amount of R point Z values as parameterized variables, specifically use by acquisition module 33
In：
The adjustment amount of R point Z values is included into as parameterized variables in the corresponding assessment models of multiple assessment factors, is obtained
To the result of variations of the corresponding multiple assessment factors of R point Z values.
Preferably, when assessment factor is apparent size factor, evaluation module 34 is specifically used for：
Based on Catia softwares, analysis assessment is carried out to the result of variations of appearance size factor.
Preferably, when assessment factor is laws and regulations requirement factor, evaluation module 34 is specifically used for：
Based on the CAVA modules being integrated in Catia softwares, analysis assessment is carried out to the result of variations of laws and regulations requirement factor.
Preferably, when assessment factor is seat comfort sexual factor, evaluation module 34 is specifically used for：
Based on the Ramsis modules being integrated in Catia softwares, analysis is carried out to the result of variations of laws and regulations requirement factor and is commented
Estimate.
An embodiment of the present invention provides a kind of impact evaluation systems based on the adjustment of seat R point Z values, which passes through advance
Establishment includes the vehicle type structure tree of multiple assessment factors, and establishes the corresponding multiple assessment models of multiple assessment factors,
And receive user and be directed to the R point Z values and its adjustment amount that target vehicle structure tree is inputted, and according to according to multiple assessment moulds
Type, obtains the result of variations of multiple assessment factors that the adjustment amount of R point Z values is influenced, so to multiple result of variations respectively into
Row analysis assessment, and corresponding assessment information is exported, the regulation influenced when being adjusted on R points and its Z values to realize,
Multiple assessment factors such as size, seat comfort carry out automated analysis, can analyze to comprehensive system the tune of assessment R point Z values
Whole coverage and its influence degree to caused by multiple assessment factors which thereby enhances commenting to the adjusting range of R point Z values
Estimate working efficiency, and reduces and the adjusting range of R point Z values is carried out assessing required human cost；In addition, in designer
It, being capable of quick, size, laws and regulations requirement and seat comfort that comprehensively R point Z values are influenced when arranging or adjusting R point Z values
Property etc. multiple assessment factors make intelligent judgement and prompt, and reasonability suggestion is provided, to further improve seat cloth
The efficiency set and designed.
The alternative embodiment that any combination forms the present invention may be used, herein no longer in above-mentioned all optional technical solutions
It repeats one by one.
It should be noted that：The impact evaluation system based on the adjustment of seat R point Z values that above-described embodiment provides is based on seat
When the impact evaluation method of chair R point Z values adjustment, only the example of the division of the above functional modules, in practical application,
It can be completed as needed and by above-mentioned function distribution by different function modules, i.e., the influence that will be adjusted based on seat R point Z values
The internal structure of assessment system is divided into different function modules, to complete all or part of the functions described above.In addition,
The impact evaluation system adjusted based on seat R point Z values that above-described embodiment provides and the influence that can be adjusted based on seat R point Z values
Appraisal procedure embodiment belongs to same design, and specific implementation process refers to embodiment of the method, and which is not described herein again.
One of ordinary skill in the art will appreciate that realizing that all or part of step of above-described embodiment can pass through hardware
It completes, relevant hardware can also be instructed to complete by program, the program can be stored in a kind of computer-readable
In storage medium, storage medium mentioned above can be read-only memory, disk or CD etc..
The foregoing is merely presently preferred embodiments of the present invention, is not intended to limit the invention, it is all the present invention spirit and
Within principle, any modification, equivalent replacement, improvement and so on should all be included in the protection scope of the present invention.
Claims (10)
1. a kind of impact evaluation method based on the adjustment of seat R point Z values, which is characterized in that the method includes：
Be pre-created include multiple assessment factors vehicle type structure tree, and it is corresponding more to establish the multiple assessment factor
A assessment models, the multiple assessment factor include the multiple apparent size factors influenced by R point Z values, multiple laws and regulations requirements
Factor and multiple seat comfort sexual factors；
It receives user and is directed to the R point Z values and its adjustment amount that target vehicle structure tree is inputted；
According to multiple assessment models, the variation for the multiple assessment factor that the adjustment amounts of the R points Z values is influenced is obtained
As a result；And
Analysis assessment is carried out respectively to multiple result of variations, and exports corresponding assessment information.
2. according to the method described in claim 1, it is characterized in that, described to establish the multiple assessment factor corresponding more
A assessment models include：
The corresponding multiple assessment models of the multiple assessment factor defined in the engineering knowledge module of Catia softwares.
3. method according to claim 1 or 2, which is characterized in that the multiple assessment models include preset formula, pre-
If at least one of rule and default inspection sentence.
4. according to the method described in claim 3, it is characterized in that, the multiple assessment models are using the R point Z values as ginseng
Numberization variable, it is described according to multiple assessment models, obtain the multiple assessment that the adjustment amount of the R points Z values is influenced
The result of variations of factor includes：
According to the R point Z values and its adjustment amount, the R points Z values after adjustment are obtained；
The R point Z values after the R point Z values, adjustment the multiple assessment factor is included into as parameterized variables respectively to distinguish
The assessed value for obtaining the corresponding the multiple assessment factor of the R points Z values in corresponding assessment models and the institute after adjustment
State the assessed value of the corresponding the multiple assessment factor of R point Z values；
Compare the assessed value institute corresponding with the R point Z values after adjustment of the corresponding the multiple assessment factor of the R points Z values
The assessed value for stating multiple assessment factors obtains the result of variations of the multiple assessment factor.
5. according to the method described in claim 3, it is characterized in that, the multiple assessment models are with the adjustment of the R points Z values
Amount is used as parameterized variables, described according to multiple assessment models, obtain the R points Z values adjustment amount influenced it is described
The result of variations of multiple assessment factors includes：
The adjustment amount of the R points Z values is included into the corresponding assessment models of the multiple assessment factor as parameterized variables
In, obtain the result of variations of the corresponding the multiple assessment factor of the R points Z values.
6. a kind of impact evaluation system based on the adjustment of seat R point Z values, which is characterized in that the system comprises：
Creation module, for be pre-created include multiple assessment factors vehicle type structure tree, and establish the multiple assessment because
The corresponding multiple assessment models of element, the multiple assessment factor include multiple apparent sizes for being influenced by R point Z values because
Plain, multiple laws and regulations requirement factors and multiple seat comfort sexual factors；
Receiving module is directed to the R point Z values and its adjustment amount that target vehicle structure tree is inputted for receiving user；
Acquisition module, the adjustment amount for according to multiple assessment models, obtaining the R points Z values are influenced the multiple
The result of variations of assessment factor；And
Evaluation module, for carrying out analysis assessment respectively to multiple result of variations；
Output module, for exporting corresponding assessment information.
7. system according to claim 6, which is characterized in that the creation module is specifically used for：
The corresponding multiple assessment models of the multiple assessment factor defined in the engineering knowledge module of Catia softwares.
8. the system described according to claim 6 or 7, which is characterized in that the multiple assessment models include preset formula, pre-
If at least one of rule and default inspection sentence.
9. system according to claim 8, which is characterized in that the multiple assessment models are using the R point Z values as ginseng
Numberization variable, the acquisition module are specifically used for：
According to the R point Z values and its adjustment amount, the R points Z values after adjustment are obtained；
The R point Z values after the R point Z values, adjustment the multiple assessment factor is included into as parameterized variables respectively to distinguish
The assessed value for obtaining the corresponding the multiple assessment factor of the R points Z values in corresponding assessment models and the institute after adjustment
State the assessed value of the corresponding the multiple assessment factor of R point Z values；
Compare the assessed value institute corresponding with the R point Z values after adjustment of the corresponding the multiple assessment factor of the R points Z values
The assessed value for stating multiple assessment factors obtains the result of variations of the multiple assessment factor.
10. system according to claim 8, which is characterized in that the multiple assessment models are with the tune of the R points Z values
Whole amount is specifically used for as parameterized variables, the acquisition module：
The adjustment amount of the R points Z values is included into the corresponding assessment models of the multiple assessment factor as parameterized variables
In, obtain the result of variations of the corresponding the multiple assessment factor of the R points Z values.
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