CN105172696B - A kind of adaptive learning algorithms device bracket assembly structure - Google Patents

A kind of adaptive learning algorithms device bracket assembly structure Download PDF

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Publication number
CN105172696B
CN105172696B CN201510615538.8A CN201510615538A CN105172696B CN 105172696 B CN105172696 B CN 105172696B CN 201510615538 A CN201510615538 A CN 201510615538A CN 105172696 B CN105172696 B CN 105172696B
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China
Prior art keywords
reinforcer
controller holder
controller
holder
learning algorithms
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CN201510615538.8A
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Chinese (zh)
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CN105172696A (en
Inventor
焦哲
周卜军
郭志远
聂东旭
赵哲
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Chongqing Changan Automobile Co Ltd
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Chongqing Changan Automobile Co Ltd
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    • BPERFORMING OPERATIONS; TRANSPORTING
    • B60VEHICLES IN GENERAL
    • B60RVEHICLES, VEHICLE FITTINGS, OR VEHICLE PARTS, NOT OTHERWISE PROVIDED FOR
    • B60R11/00Arrangements for holding or mounting articles, not otherwise provided for
    • BPERFORMING OPERATIONS; TRANSPORTING
    • B60VEHICLES IN GENERAL
    • B60RVEHICLES, VEHICLE FITTINGS, OR VEHICLE PARTS, NOT OTHERWISE PROVIDED FOR
    • B60R11/00Arrangements for holding or mounting articles, not otherwise provided for
    • B60R2011/0042Arrangements for holding or mounting articles, not otherwise provided for characterised by mounting means
    • B60R2011/0049Arrangements for holding or mounting articles, not otherwise provided for characterised by mounting means for non integrated articles

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  • Engineering & Computer Science (AREA)
  • Mechanical Engineering (AREA)
  • Body Structure For Vehicles (AREA)

Abstract

The invention discloses a kind of adaptive learning algorithms device bracket assembly structures, including controller holder, the first reinforcer and the second reinforcer;The controller rack body is vertical slab construction, first reinforcer and the second reinforcer are symmetrically welded the right and left for being fixed on controller holder, and the upper end of controller holder, the first reinforcer and the second reinforcer is equipped with flange and is fixedly connected with automotive front collision beam;The controller holder and the first reinforcer and automotive front collision beam are at three-legged structure;The controller holder and the second reinforcer and automotive front collision beam are at three-legged structure;The middle part of the controller holder is adaptive learning algorithms device installation region, and mounting hole is distributed with.The present invention has rigidity of structure height, holder anti-vibration jolt capacity strong, and positioning accuracy is high, advantages of simple structure and simple.

Description

A kind of adaptive learning algorithms device bracket assembly structure
Technical field
The invention belongs to technical field of automobile parts, and in particular to a kind of adaptive learning algorithms device bracket assembly knot Structure.
Background technology
Adaptive cruise control system is a kind of intelligentized automatic control system makes vehicle in vehicle travel process Remain that safe distance, adaptive cruise control system need to obtain front environmental information, the i.e. phase of front truck with front vehicles It adjusts the distance, relative velocity etc..Method relatively common at present is to install millimetre-wave radar from Chinese herbaceous peony end to obtain the phase of front truck Information is closed, but the investigative range of millimetre-wave radar is limited, the horizontal detection range of long range millimetre-wave radar generally only has ± 10deg, this requires radars when installation, and its millimeter wave plane of departure wants face from front side, smaller setting angle or Position deviation can make the error larger to front vehicles detection range.Vehicle is after use after a period of time, due to road Face is jolted, and the decline of radar installation accuracy is frequently can lead to, to make the stability of adaptive cruise control system drop significantly It is low.Therefore, the mounting bracket of adaptive learning algorithms device needs to have good strength and stiffness and to meet controller various Working condition requirement.
Invention content
The object of the present invention is to provide a kind of adaptive learning algorithms device bracket assembly structures, support adaptive learning algorithms The installation of device ensures that the normal transmitting-receiving of adaptive learning algorithms device radar signal in vehicle travel process needs, and in spy The demand that adaptive learning algorithms device adjusts under different operating mode.
A kind of adaptive learning algorithms device bracket assembly structure of the present invention, including controller holder, the first reinforcement Part and the second reinforcer;The controller rack body is vertical slab construction, and the first reinforcer and the second reinforcer are symmetrical It is weldingly fixed on the right and left of controller holder, the upper end of controller holder, the first reinforcer and the second reinforcer is equipped with Flange is fixedly connected with automotive front collision beam;The controller holder and the first reinforcer and automotive front collision beam are at triangle Structure;The controller holder and the second reinforcer and automotive front collision beam are at three-legged structure;In the controller holder Portion is adaptive learning algorithms device installation region, and mounting hole is distributed with.
Further, the top of the controller holder is in " W " shape, the outer surface of upper and automobile front collision of controller holder The bottom surface of crossbeam is close to, and the other end of controller holder is straight down.
The first reinforcer lateral cross section is L-shaped, outer surface lower part and the controller holder of the first reinforcer Lower left quarter is close to, and upper end is fixedly welded on automotive front collision beam left part bottom surface.
The second reinforcer lateral cross section is L-shaped, outer surface lower part and the controller holder of the second reinforcer Right lower quadrant is close to, and upper end is fixedly welded on automotive front collision beam right part bottom surface.
Further, first reinforcer and the second reinforcer are equilateral " L " shape structure, and size is consistent, realizes zero The versatility of part, has saved cost.
Further, first reinforcer and the second reinforcer opening back to.
Further, a half round cut shape first is respectively provided in two faces lower part of the first reinforcer of " L " shape to add Strong part welding location-plate hole;A half round cut shape second is respectively provided in second two faces of reinforcer lower part of " L " shape to reinforce Part welding location-plate hole.
Further, the lower, transverse section of the controller holder be " several " shape, increase controller holder rigidity and Intensity.
Further, the first anisotropic clamp mounting hole, controller holder upper right quarter are equipped in the controller holder upper left quarter Equipped with the second anisotropic clamp mounting hole, controller holder right lower quadrant is equipped with third opposite sex clamp mounting hole;In the controller branch Frame lower left quarter is equipped with the first controller holder welding location-plate hole, and it is fixed that controller holder right middle is equipped with the welding of second controller holder Position hole;It is additionally provided with wire harness clip mounting hole in the controller holder lower left quarter.
Adaptive learning algorithms device bracket assembly structure of the present invention integrally uses three-legged structure, and the rigidity of structure is high, With very strong anti-vibration jolt capacity, extraneous factor influences adaptive learning algorithms device smaller;Controller holder passes through one Body punch forming, positioning accuracy is high, ensure that the size and positioning accuracy of part;Simple in structure, mounting and adjusting is convenient, at low cost It is honest and clean.
Description of the drawings
Fig. 1 is schematic structural view of the invention.
Fig. 2 is the A-A sectional views of Fig. 1.
Fig. 3 is the B-B sectional views of Fig. 1.
Fig. 4 is assembling schematic diagram of the present invention.
In figure:1- controllers holder, the first reinforcers of 2-, the second reinforcers of 3-, the first reinforcers of 4- welding location-plate hole, 5- First anisotropic clamp mounting hole, 6- the first controller holders welding location-plate hole, 7- wire harness clips mounting hole, the weldering of the second reinforcers of 8- Connect the anisotropic clamp mounting hole of location hole, 9- second, 10- second controller holders welding location-plate hole, the installation of 11- third opposite sex clamps Hole, 12- automotive front collision beams, the anisotropic clamps of 13- first, 14- the first adjustments bolt, 15- installation bolts, 16- second are anisotropic Clamp, 17- second adjustments bolt, 18- third opposite sex clamps.
Specific implementation mode
Invention is further described in detail below in conjunction with the accompanying drawings:
Referring to a kind of adaptive learning algorithms device bracket assembly structure shown in Fig. 1-3, including controller holder 1, first Reinforcer 2 and the second reinforcer 3;1 main body of controller holder is vertical slab construction, and the first reinforcer 2 and second adds Strong part 3 is symmetrically welded the right and left for being fixed on controller holder 1, controller holder 1, the first reinforcer 2 and the second reinforcer 3 Upper end be equipped with flange and be fixedly connected with automotive front collision beam 12;1 and first reinforcer 2 of the controller holder and automobile Preceding collision beam 12 is at three-legged structure;1 and second reinforcer 3 of the controller holder is with automotive front collision beam 12 at triangle knot Structure;The middle part of the controller holder 1 is adaptive learning algorithms device installation region, and mounting hole is distributed with.
Further, the top of the controller holder 1 is in " W " shape, is touched before the outer surface of upper and automobile of controller holder 1 The bottom surface for hitting crossbeam 12 is close to, and the other end of controller holder 1 is straight down.
First reinforcer, 2 lateral cross section is L-shaped, outer surface lower part and the controller branch of the first reinforcer 2 1 lower left quarter of frame is close to, and upper end is fixedly welded on 12 left part bottom surface of automotive front collision beam.
Second reinforcer, 3 lateral cross section is L-shaped, outer surface lower part and the controller branch of the second reinforcer 3 1 right lower quadrant of frame is close to, and upper end is fixedly welded on 12 right part bottom surface of automotive front collision beam.
In the present embodiment, controller holder 1 selects the SAPH400 steel plate puncheds that thickness is 2.5mm to be molded, the first reinforcer 2 and second reinforcer 3 select thickness be 1.5mm DC01 steel plate puncheds be molded.
Further, first reinforcer, 2 and second reinforcer 3 is equilateral " L " shape structure, and size is consistent, realizes The versatility of part, has saved cost.
Further, first reinforcer, 2 and second reinforcer 3 opening back to.
Further, a half round cut shape first is respectively provided in two faces lower part of the first reinforcer 2 of " L " shape to add Strong part welding location-plate hole 4;A half round cut shape second is respectively provided in second 3 two faces of reinforcer lower part of " L " shape to add Strong part welding location-plate hole 8.
Further, the lower, transverse section of the controller holder 1 is " several " shape, increases the rigidity of controller holder 1 And intensity.
Further, the first anisotropic clamp mounting hole 5,1 upper right of controller holder are equipped in 1 upper left quarter of controller holder Portion is equipped with the second anisotropic clamp mounting hole 9, and 1 right lower quadrant of controller holder is equipped with third opposite sex clamp mounting hole 11;In the control 1 lower left quarter of device holder processed is equipped with the first controller holder welding location-plate hole 6, and 1 right middle of controller holder is equipped with second controller Holder welding location-plate hole 10;It is additionally provided with wire harness clip mounting hole 7 in 1 lower left quarter of controller holder.
When installation, assembling schematic diagram of the present invention shown in Figure 4, the first anisotropic clamp 13 is installed on the first anisotropic clamp peace It fills in hole 5, the second anisotropic clamp 16 is installed in the second anisotropic clamp mounting hole 9, and it is different that third opposite sex clamp 18 is installed on third Property clamp mounting hole 11 in, adaptive learning algorithms device and second the 16, first anisotropic clamp 13 of anisotropic clamp and third opposite sex card Mounting and adjusting is carried out by installation bolt 15, the first adjustment bolt 14 and second adjustment bolt 17 respectively between son 18.
Embodiment described above is only that the preferred embodiment of the present invention is described, not to the model of the present invention It encloses and is defined, under the premise of not departing from design spirit of the present invention, technical side of the those of ordinary skill in the art to the present invention The various modifications and improvement that case is made should all be fallen into the protection domain of claims of the present invention determination.

Claims (7)

1. a kind of adaptive learning algorithms device bracket assembly structure, it is characterised in that:Reinforce including controller holder (1), first Part (2) and the second reinforcer (3);Controller holder (1) main body is vertical slab construction, the first reinforcer (2) and the Two reinforcers (3) are symmetrically welded the right and left for being fixed on controller holder (1), controller holder (1), the first reinforcer (2) And second the upper end of reinforcer (3) be equipped with flange and be fixedly connected with automotive front collision beam (12);The controller holder (1) With the first reinforcer (2) and automotive front collision beam (12) at three-legged structure;The controller holder (1) and the second reinforcer (3) with automotive front collision beam (12) at three-legged structure;
The middle part of the controller holder (1) is adaptive learning algorithms device installation region, and mounting hole is distributed with.
2. adaptive learning algorithms device bracket assembly structure according to claim 1, it is characterised in that:The controller branch The top of frame (1) is in " W " shape, and the outer surface of upper of controller holder (1) is close to the bottom surface of automotive front collision beam (12), The other end of controller holder (1) is straight down;
First reinforcer (2) lateral cross section is L-shaped, outer surface lower part and the controller branch of the first reinforcer (2) Frame (1) lower left quarter is close to, and upper end is fixedly welded on automotive front collision beam (12) left part bottom surface;
Second reinforcer (3) lateral cross section is L-shaped, outer surface lower part and the controller branch of the second reinforcer (3) Frame (1) right lower quadrant is close to, and upper end is fixedly welded on automotive front collision beam (12) right part bottom surface.
3. adaptive learning algorithms device bracket assembly structure according to claim 2, it is characterised in that:Described first reinforces Part (2) and the second reinforcer (3) are equilateral " L " shape structure, and size is consistent.
4. adaptive learning algorithms device bracket assembly structure according to claim 2 or 3, it is characterised in that:Described first Reinforcer (2) and the second reinforcer (3) be open back to.
5. adaptive learning algorithms device bracket assembly structure according to claim 2 or 3, it is characterised in that:At " L " Two faces lower part of the first reinforcer (2) of shape is respectively provided with half round cut shape the first reinforcer welding location-plate hole (4);Institute (3) the two face lower parts of the second reinforcer for stating " L " shape are respectively provided with half round cut shape the second reinforcer welding location-plate hole (8).
6. adaptive learning algorithms device bracket assembly structure according to claim 1 or 2, it is characterised in that:The control The lower, transverse section of device holder (1) is " several " shape.
7. adaptive learning algorithms device bracket assembly structure according to claim 1 or 2, it is characterised in that:In the control Device holder (1) upper left quarter processed is equipped with the first anisotropic clamp mounting hole (5), and controller holder (1) upper right quarter is equipped with the second anisotropic card Sub- mounting hole (9), controller holder (1) right lower quadrant are equipped with third opposite sex clamp mounting hole (11);In the controller holder (1) Lower left quarter is equipped with the first controller holder welding location-plate hole (6), and controller holder (1) right middle is welded equipped with second controller holder Connect location hole (10);It is additionally provided with wire harness clip mounting hole (7) in controller holder (1) lower left quarter.
CN201510615538.8A 2015-09-24 2015-09-24 A kind of adaptive learning algorithms device bracket assembly structure Active CN105172696B (en)

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CN105172696B true CN105172696B (en) 2018-07-13

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Families Citing this family (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN107696994A (en) * 2017-11-09 2018-02-16 北京长城华冠汽车科技股份有限公司 Erecting device and the vehicle with erecting device

Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN201856833U (en) * 2010-10-29 2011-06-08 重庆长安汽车股份有限公司 Mounting structure of reversing radar controller and steering support
CN103042981A (en) * 2012-12-17 2013-04-17 广东好帮手电子科技股份有限公司 Automotive radar mounting bracket and automobile using bracket
CN203902415U (en) * 2014-06-26 2014-10-29 广东永泰和汽车用品有限公司 Non-destructive mounted visible reversing radar
CN204659586U (en) * 2015-05-13 2015-09-23 奇瑞汽车股份有限公司 A kind of vapour Vehicle radar supporting mechanism

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN201856833U (en) * 2010-10-29 2011-06-08 重庆长安汽车股份有限公司 Mounting structure of reversing radar controller and steering support
CN103042981A (en) * 2012-12-17 2013-04-17 广东好帮手电子科技股份有限公司 Automotive radar mounting bracket and automobile using bracket
CN203902415U (en) * 2014-06-26 2014-10-29 广东永泰和汽车用品有限公司 Non-destructive mounted visible reversing radar
CN204659586U (en) * 2015-05-13 2015-09-23 奇瑞汽车股份有限公司 A kind of vapour Vehicle radar supporting mechanism

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