CN113836737A - Tire interference risk monitoring method, device and equipment - Google Patents
Tire interference risk monitoring method, device and equipment Download PDFInfo
- Publication number
- CN113836737A CN113836737A CN202111157528.6A CN202111157528A CN113836737A CN 113836737 A CN113836737 A CN 113836737A CN 202111157528 A CN202111157528 A CN 202111157528A CN 113836737 A CN113836737 A CN 113836737A
- Authority
- CN
- China
- Prior art keywords
- tire
- vehicle body
- working condition
- tested
- coefficient
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
- 238000000034 method Methods 0.000 title claims abstract description 59
- 238000012544 monitoring process Methods 0.000 title claims abstract description 47
- 238000002474 experimental method Methods 0.000 claims abstract description 99
- 238000013461 design Methods 0.000 claims description 21
- 238000012806 monitoring device Methods 0.000 claims description 18
- 238000005259 measurement Methods 0.000 claims description 17
- 230000001133 acceleration Effects 0.000 claims description 16
- 238000012795 verification Methods 0.000 claims description 15
- 238000004519 manufacturing process Methods 0.000 claims description 12
- 238000012502 risk assessment Methods 0.000 claims description 7
- 238000013499 data model Methods 0.000 claims description 5
- 230000004888 barrier function Effects 0.000 claims description 3
- 238000004347 surface barrier Methods 0.000 claims description 3
- 238000010586 diagram Methods 0.000 description 6
- 238000006073 displacement reaction Methods 0.000 description 6
- 230000008569 process Effects 0.000 description 6
- 238000004891 communication Methods 0.000 description 5
- 238000004458 analytical method Methods 0.000 description 4
- 238000004364 calculation method Methods 0.000 description 4
- 238000004441 surface measurement Methods 0.000 description 3
- 239000000725 suspension Substances 0.000 description 3
- 238000001514 detection method Methods 0.000 description 2
- 239000006096 absorbing agent Substances 0.000 description 1
- 239000004927 clay Substances 0.000 description 1
- 239000003086 colorant Substances 0.000 description 1
- 238000012937 correction Methods 0.000 description 1
- 238000013480 data collection Methods 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 239000000446 fuel Substances 0.000 description 1
- 230000006870 function Effects 0.000 description 1
- 230000005484 gravity Effects 0.000 description 1
- 230000003993 interaction Effects 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 230000003287 optical effect Effects 0.000 description 1
- 238000012545 processing Methods 0.000 description 1
- 230000035939 shock Effects 0.000 description 1
Images
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F30/00—Computer-aided design [CAD]
- G06F30/20—Design optimisation, verification or simulation
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01M—TESTING STATIC OR DYNAMIC BALANCE OF MACHINES OR STRUCTURES; TESTING OF STRUCTURES OR APPARATUS, NOT OTHERWISE PROVIDED FOR
- G01M17/00—Testing of vehicles
- G01M17/007—Wheeled or endless-tracked vehicles
- G01M17/02—Tyres
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F2119/00—Details relating to the type or aim of the analysis or the optimisation
- G06F2119/14—Force analysis or force optimisation, e.g. static or dynamic forces
Landscapes
- Physics & Mathematics (AREA)
- Engineering & Computer Science (AREA)
- General Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- Computer Hardware Design (AREA)
- Evolutionary Computation (AREA)
- Geometry (AREA)
- General Engineering & Computer Science (AREA)
- Tires In General (AREA)
Abstract
The invention discloses a method, a device and equipment for monitoring tire interference risks. The method comprises the following steps: acquiring experiment parameters including working condition strength experiment parameters and vehicle body stress experiment parameters; calculating to obtain a working condition intensity coefficient and a vehicle body stress coefficient according to the parameters; searching a reference margin value group from the reference data according to the coefficient; determining the type of the target vehicle body part corresponding to the surface point position of the tire to be tested, and selecting an allowance value from the reference allowance value group; acquiring a check gap between the point position and the vehicle body part, and comparing the check gap with an allowance value; thereby determining the interference risk level for that point location. By analyzing the experimental parameters, a reference margin value group is searched from the reference data, a margin value is selected according to the type of the vehicle body component, namely, different vehicle body component types under different working conditions correspond to different gap requirements, whether the check gap meets the gap requirements or not is determined, and the corresponding interference risk grade is determined.
Description
Technical Field
The invention relates to the technical field of vehicle monitoring, in particular to a tire interference risk monitoring method, device and equipment.
Background
When a vehicle runs on a deceleration strip, a curb or other severe road surfaces, wheels of the vehicle are impacted by external impact and exceed the theoretical limit position of the design, at the moment, the tires possibly interfere with components such as a vehicle body, a suspension, a steering system and a braking system, so that parts of the vehicle are damaged, and the vehicle can not run or brake under severe conditions.
At present, no method for monitoring tire displacement in dynamic running of a vehicle and further analyzing the interference risk of the vehicle tire is provided. In the prior art, the tire displacement is generally tested by measuring the residual gap of a fixed point position by using clay, and the method has the following defects: only the gaps of part of selected point positions can be measured, interference risks in all areas cannot be comprehensively evaluated, and omission of risk points is easily caused. If a certain area interferes, the magnitude of the interference amount cannot be measured, so that a countermeasure target cannot be determined.
The above is only for the purpose of assisting understanding of the technical aspects of the present invention, and does not represent an admission that the above is prior art.
Disclosure of Invention
The invention mainly aims to provide a tire interference risk monitoring method, a tire interference risk monitoring device and tire interference risk monitoring equipment, and aims to solve the technical problem of how to monitor the interference risk of a vehicle tire during the dynamic running of a vehicle.
In order to achieve the above object, the present invention provides a tire interference risk monitoring method, comprising the steps of:
acquiring experiment parameters, wherein the experiment parameters comprise working condition strength experiment parameters and vehicle body stress experiment parameters;
calculating to obtain a working condition strength coefficient and a vehicle body stress coefficient according to the working condition strength experiment parameters and the vehicle body stress experiment parameters;
searching a corresponding reference margin value group from the reference data according to the working condition intensity coefficient and the vehicle body stress coefficient;
determining the type of a vehicle body part corresponding to a target vehicle body part corresponding to the surface point position of the tire to be tested, and selecting a target allowance value from the reference allowance value according to the type of the vehicle body part;
acquiring a check gap between the surface point position of the tire to be tested and the target vehicle body part, and comparing the check gap with the target allowance value to obtain a comparison result;
and determining the interference risk grade corresponding to the surface point position of the tire to be tested according to the comparison result.
Optionally, the obtaining a verification gap between the tire surface point location to be tested and the target vehicle body component includes:
determining an actual measurement gap between the surface point position of the tire to be tested and the target vehicle body component according to the tire attitude data;
determining the current tire position where the surface point position of the tire to be tested is located;
determining a corresponding tire design compensation value according to the current tire position;
and determining a check gap according to the vehicle body manufacturing tolerance, the design compensation value and the measured gap which are input in advance.
Optionally, the calculating according to the working condition strength experiment parameter and the vehicle body stress experiment parameter to obtain a working condition strength coefficient and a vehicle body stress coefficient includes:
calculating the road surface input force according to the working condition strength experiment parameters to obtain a working condition strength coefficient;
and calculating the stress of the vehicle body according to the vehicle body stress experiment parameters to obtain the stress coefficient of the vehicle body.
Optionally, the working condition strength experiment parameters include the height of a road obstacle, an included angle between a vehicle advancing direction and the obstacle, a steering angle, a load, a vehicle weight and a vehicle speed;
calculating the road surface input force according to the working condition strength experiment parameters to obtain a working condition strength coefficient, wherein the working condition strength coefficient comprises the following steps:
and calculating the road surface input force according to the height of the road surface barrier, the included angle between the vehicle advancing direction and the barrier, the steering angle, the vehicle speed, the load and the vehicle weight to obtain the working condition intensity coefficient.
Optionally, the vehicle body stress experiment parameters include vehicle body stress information in a three-dimensional direction, acceleration information in a vehicle three-dimensional direction, load and vehicle weight;
the step of calculating the stress of the vehicle body according to the vehicle body stress experiment parameters to obtain the stress coefficient of the vehicle body comprises the following steps:
and calculating the stress of the vehicle body according to the stress information of the vehicle body, the acceleration information, the load and the vehicle weight to obtain the stress coefficient of the vehicle body.
Optionally, before the working condition intensity coefficient and the vehicle body stress coefficient are calculated according to the working condition intensity experiment parameters and the vehicle body stress experiment parameters, the method further includes:
acquiring a tire motion signal acquired by a sensor;
and determining tire attitude data and vehicle body stress experiment parameters according to the tire motion signals.
Optionally, the determining, according to the comparison result, an interference risk level corresponding to the to-be-tested tire surface point location includes:
when the checking clearance is larger than or equal to the target allowance value, determining the interference risk level corresponding to the surface point position of the tire to be tested as a safety level, and marking the surface point position of the tire to be tested as a safety point position;
when the check gap is smaller than the target margin value, judging whether the check gap is smaller than a preset interference risk threshold value, wherein the interference risk threshold value is smaller than the target margin value;
when the checking clearance is smaller than the interference risk threshold value, determining the interference risk grade corresponding to the surface point position of the tire to be tested as an interference grade, and marking the surface point position of the tire to be tested as an interference point position;
and when the verification gap is larger than or equal to the interference gap threshold value, determining the interference risk grade corresponding to the surface point position of the tire to be tested as a risk grade, and marking the surface point position of the tire to be tested as a risk point position.
Optionally, after determining the interference risk level corresponding to the to-be-tested tire surface point position according to the comparison result, the method further includes:
taking the surface point location of the tire to be tested as a monitored point location;
when the number of the monitored point locations reaches a preset number, importing the marking information corresponding to the monitored point locations into a preset vehicle body three-dimensional data model so as to graphically display interference risk levels corresponding to the monitored point locations.
In addition, in order to achieve the above object, the present invention also provides a tire interference risk monitoring device, including:
the data acquisition module is used for acquiring experiment parameters, wherein the experiment parameters comprise working condition intensity experiment parameters and vehicle body stress experiment parameters;
the margin value calculating module is used for calculating a working condition strength coefficient and a vehicle body stress coefficient according to the working condition strength experiment parameters and the vehicle body stress experiment parameters;
the margin value calculating module is also used for searching a corresponding reference margin value group from datum data according to the working condition intensity coefficient and the vehicle body stress coefficient;
the allowance value calculating module is also used for determining the type of the vehicle body part corresponding to the target vehicle body part corresponding to the surface point position of the tire to be tested, and selecting a target allowance value from the reference allowance value according to the type of the vehicle body part;
the risk analysis module is used for acquiring a check gap between the surface point position of the tire to be tested and the target vehicle body part, and comparing the check gap with the target allowance value to obtain a comparison result;
and the risk analysis module is also used for determining the interference risk grade corresponding to the surface point position of the tire to be tested according to the comparison result.
Further, to achieve the above object, the present invention also proposes a tire interference risk monitoring apparatus including: a memory, a processor, and a tire interference risk monitoring program stored on the memory and executable on the processor, the tire interference risk monitoring program configured to implement the tire interference risk monitoring method as described above.
According to the method, experimental parameters are obtained, wherein the experimental parameters comprise working condition strength experimental parameters and vehicle body stress experimental parameters; calculating according to the working condition strength experiment parameters and the vehicle body stress experiment parameters to obtain a working condition strength coefficient and a vehicle body stress coefficient; searching a corresponding reference margin value group from the reference data according to the working condition intensity coefficient and the vehicle body stress coefficient; determining the type of a vehicle body part corresponding to a target vehicle body part corresponding to the tire surface point position to be tested, and selecting a target allowance value from the reference allowance value according to the type of the vehicle body part; acquiring a check gap between a tire surface point position to be tested and a target vehicle body part, and comparing the check gap with a target allowance value to obtain a comparison result; and determining the interference risk grade corresponding to the surface point position of the tire to be tested according to the comparison result. According to the method, experimental parameters are analyzed, a reference margin value group is determined from preset datum data, different margin values are selected from the reference margin value group according to different vehicle body component types, namely different working conditions and different vehicle body component types correspond to different gap requirements, whether a check gap meets the gap requirement is determined, and the corresponding interference risk grade is automatically judged according to a comparison result.
Drawings
FIG. 1 is a schematic structural diagram of a tire interference risk monitoring device for a hardware operating environment according to an embodiment of the present invention;
FIG. 2 is a schematic flow chart of a first embodiment of a tire interference risk monitoring method according to the present invention;
FIG. 3 is a logic diagram of risk determination according to an embodiment of the tire interference risk monitoring method of the present invention;
FIG. 4 is a schematic flow chart of a tire interference risk monitoring method according to a second embodiment of the present invention;
FIG. 5 is a schematic flow chart of a third embodiment of a tire interference risk monitoring method according to the present invention;
FIG. 6 is a schematic view of a driving direction and an angle of a tire interference risk monitoring method according to an embodiment of the present invention;
fig. 7 is a block diagram showing the structure of a first embodiment of the tire interference risk monitoring device according to the present invention.
The implementation, functional features and advantages of the objects of the present invention will be further explained with reference to the accompanying drawings.
Detailed Description
It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
Referring to fig. 1, fig. 1 is a schematic structural diagram of a tire interference risk monitoring device in a hardware operating environment according to an embodiment of the present invention.
As shown in fig. 1, the tire interference risk monitoring apparatus may include: a processor 1001, such as a Central Processing Unit (CPU), a communication bus 1002, a user interface 1003, a network interface 1004, and a memory 1005. Wherein a communication bus 1002 is used to enable connective communication between these components. The user interface 1003 may include a Display screen (Display), an input unit such as a Keyboard (Keyboard), and the optional user interface 1003 may also include a standard wired interface, a wireless interface. The network interface 1004 may optionally include a standard wired interface, a Wireless interface (e.g., a Wireless-Fidelity (Wi-Fi) interface). The Memory 1005 may be a Random Access Memory (RAM) or a Non-Volatile Memory (NVM), such as a disk Memory. The memory 1005 may alternatively be a storage device separate from the processor 1001.
Those skilled in the art will appreciate that the configuration shown in FIG. 1 does not constitute a limitation of a tire interference risk monitoring apparatus and may include more or fewer components than shown, or some components in combination, or a different arrangement of components.
As shown in fig. 1, a memory 1005, which is one type of storage medium, may include therein an operating system, a network communication module, a user interface module, and a tire interference risk monitoring program.
In the tire interference risk monitoring apparatus shown in fig. 1, the network interface 1004 is mainly used for data communication with a network server; the user interface 1003 is mainly used for data interaction with a user; the processor 1001 and the memory 1005 of the tire interference risk monitoring device may be disposed in the tire interference risk monitoring device, and the tire interference risk monitoring device calls the tire interference risk monitoring program stored in the memory 1005 through the processor 1001 and executes the tire interference risk monitoring method provided by the embodiment of the present invention.
The embodiment of the invention provides a tire interference risk monitoring method, and referring to fig. 2, fig. 2 is a schematic flow chart of a first embodiment of the tire interference risk monitoring method.
In this embodiment, the tire interference risk monitoring method includes the following steps:
step S10: acquiring experiment parameters, wherein the experiment parameters comprise working condition strength experiment parameters and vehicle body stress experiment parameters.
It can be understood that the executing subject of the present embodiment is a tire interference risk monitoring device, and the tire interference risk monitoring device may be a computer, a server, or other devices connected to a measurement sensor, may also be a vehicle control unit installed on a vehicle, and may also be other devices having a calculation function, which is not limited in this embodiment.
It should be noted that, this embodiment provides two implementation scenarios, the first is that the vehicle controller receives the working condition strength parameters and the vehicle body stress parameters acquired by the vehicle sensor through the CAN bus in the daily driving process of the vehicle, the second is that the computer installed with the monitoring system in the experimental process acquires the working condition strength experimental parameters and the vehicle body stress experimental parameters through the data acquisition device arranged in advance, and the step of acquiring the working condition strength parameters is explained in detail by taking the experimental scenario as an example: before the experiment, a data acquisition sensor is arranged on a vehicle body, a monitoring software system is set up on a computer, vehicle body data are led into software, tire displacement data are acquired by the data acquisition sensor, the motion state and the position relation of a tire are displayed in a three-dimensional digital-to-analog mode of the vehicle body in real time, when the experiment is carried out, the vehicle is controlled by a vehicle control device to run with preset working condition intensity experiment parameters, tire motion signals are acquired by the data acquisition sensor, the tire motion signals are analyzed, tire attitude data are determined, acting force between the tire and the vehicle body is analyzed according to data acquired by a force measuring sensor and an acceleration sensor on the vehicle body, and accordingly vehicle body stress experiment parameters are obtained. The vehicle body stress experiment parameters can include stress magnitude and stress direction. Further, the working condition strength experiment parameters input into the same experiment and the vehicle body stress experiment parameters output by the experiment are input into the tire interference risk monitoring device of the embodiment in the form of numbers, and the tire interference risk monitoring device calls the corresponding working condition strength experiment parameters such as the height of a road obstacle, the included angle between the advancing direction of the vehicle and the obstacle, the steering angle, the load, the vehicle weight, the vehicle speed and the like according to the numbers and calls vehicle body stress experiment parameters such as vehicle body stress information in the three-dimensional direction, acceleration information in the three-dimensional direction of the vehicle, the load, the vehicle weight and the like.
Step S20: and calculating according to the working condition strength experiment parameters and the vehicle body stress experiment parameters to obtain a working condition strength coefficient and a vehicle body stress coefficient.
It can be understood that the working condition intensity coefficient corresponds to an acting force coefficient between a road surface and wheels and is related to vehicle running parameters and the height of a road surface obstacle, the vehicle body stress coefficient corresponds to an acting force coefficient between the wheels and the vehicle body and is related to vehicle body stress and acceleration, in the specific implementation, road surface input force is calculated according to working condition intensity experiment parameters such as vehicle weight, the height of the road surface obstacle, an included angle between a vehicle advancing direction and the obstacle, a steering angle, load, vehicle weight, vehicle speed and the like, the working condition intensity coefficient is obtained, vehicle body stress is calculated according to vehicle body stress coefficients such as stress information in the three-dimensional direction of the vehicle body and acceleration information in the three-dimensional direction of the vehicle, and the vehicle body stress coefficient is obtained. And further, planning a plurality of working condition intensity grades and a plurality of vehicle body stress grades in advance, wherein each working condition intensity grade and each vehicle body stress grade respectively correspond to a numerical range, and when the working condition intensity coefficient and the vehicle body stress coefficient are obtained through calculation, determining the corresponding working condition intensity grade and the vehicle body stress grade by comparing the numerical ranges.
Step S30: and searching a corresponding reference margin value group from the reference data according to the working condition intensity coefficient and the vehicle body stress coefficient.
It can be understood that calibration experiments are performed in advance according to different working condition intensity coefficients and different vehicle body stress coefficients, the clearance critical values between various types of vehicle body components and tires when interference risks exist under different working conditions are determined, the clearance critical values corresponding to various types of vehicle body components are combined to form a reference margin value group, and the reference margin value group is stored as reference data. When searching, the working condition intensity coefficient is used as a one-dimensional searching condition, the vehicle body stress coefficient is used as another-dimensional searching condition, and the cross value, namely the reference margin value group, is determined. Namely, the margin value groups are specified in advance, and the corresponding reference margin value groups are selected according to different working condition intensity coefficients and different vehicle body stress coefficients. Further, working condition intensity levels and vehicle body stress levels are set, margin value groups corresponding to different working condition intensity levels and different vehicle body stress levels are stored in the datum data, the working condition intensity levels are used as one-dimensional searching conditions, the vehicle body stress levels are used as the other-dimensional searching conditions, and the reference margin value groups are searched from the datum data.
Step S40: determining the type of the vehicle body part corresponding to the target vehicle body part corresponding to the tire surface point position to be tested, and selecting a target allowance value from the reference allowance value according to the type of the vehicle body part.
In the present embodiment, the vehicle body component types are classified into a type a, a type B, and a type C according to the importance and strength of the component, and the vehicle body component types are adapted to different margin value requirements, for example: the A type is a fuel pipe, a brake pipe, ABS, an electronic parking wire harness and the like; the B type is a shock absorber, a spring, a triangular arm, an auxiliary frame and the like; the category C is a smooth plane such as a general wheel cover, different tire surface points provided on the tire surface face different vehicle body parts, the vehicle body parts facing each point are regarded as opponent parts corresponding to the point, the reference margin value group is represented as [ a, B, C ], and if the opponent parts corresponding to the tire surface points to be tested are of the category B, the target margin value is selected as B.
Step S50: and acquiring a check gap between the surface point position of the tire to be tested and the target vehicle body part, and comparing the check gap with the target allowance value to obtain a comparison result.
It should be understood that the data acquisition sensor acquires a tire motion signal, the data acquisition analysis system analyzes the sensor signal, attitude data such as tire displacement and inclination angle and stress data such as stress of a suspension frame and a vehicle body are determined, the tire interference risk monitoring equipment determines a check gap between each tire surface point to be tested and a hand part according to the attitude data, and a comparison result between the check gap and a target allowance value is determined.
Step S60: and determining the interference risk grade corresponding to the surface point position of the tire to be tested according to the comparison result.
It should be noted that the interference risk level of the present embodiment includes: the method comprises the steps of interference level, risk level and safety level, wherein the interference level represents that a point position on the surface of a tire to be tested interferes with a hand product, at the moment, the tire interference risk monitoring equipment can give an alarm for the point position, prompt and record the current working condition, record the accurate time and coordinate position of interference, display a red warning mark on a vehicle body digital-analog, and visually and accurately display an interference point and the interference amount corresponding to the interference point; the risk grade represents that the surface point position of the tire to be tested is possibly interfered or is about to be interfered with the hand article, and the safety grade represents that the surface point position of the tire to be tested is not interfered with the hand article and is in a normal driving state. In a specific implementation, the risk level may be set to multiple levels according to the size of the target margin value, and when the verification gap is smaller than the target margin value and is greater than or equal to the interference gap threshold, the corresponding risk level is determined according to the size of the difference between the verification gap and the target margin value, for example, if the difference is smaller, the corresponding interference risk level is determined to be a low risk level, and if the difference is larger, the corresponding interference risk level is determined to be a high risk level.
Specifically, the step S60 includes: when the checking clearance is larger than or equal to the target allowance value, determining the interference risk level corresponding to the surface point position of the tire to be tested as a safety level, and marking the surface point position of the tire to be tested as a safety point position; when the check gap is smaller than the target margin value, judging whether the check gap is smaller than a preset interference risk threshold value, wherein the interference risk threshold value is smaller than the target margin value; when the checking clearance is smaller than the interference risk threshold value, determining the interference risk grade corresponding to the surface point position of the tire to be tested as an interference grade, and marking the surface point position of the tire to be tested as an interference point position; and when the verification gap is larger than or equal to the interference gap threshold value, determining the interference risk grade corresponding to the surface point position of the tire to be tested as a risk grade, and marking the surface point position of the tire to be tested as a risk point position.
It should be understood that the preset interference risk threshold is a critical value of a gap where interference occurs between a vehicle tire and a hand component, and may be set to 0, or may be set to other smaller values in consideration of an error, and in a specific implementation, the point locations with different interference risk levels are marked, specifically, according to colors, for example, the safety point location is marked as green, the risk point location is marked as yellow, and the interference point location is marked as red.
Further, after the step S60, the method further includes: taking the surface point location of the tire to be tested as a monitored point location; when the number of the monitored point locations reaches a preset number, importing the marking information corresponding to the monitored point locations into a preset vehicle body three-dimensional data model so as to graphically display interference risk levels corresponding to the monitored point locations.
It should be noted that, in this embodiment, the tire surface point location to be tested is represented as p (i), it is assumed that the number of preset tire surface measurement point locations is 100, and p (i) is any one of the preset 100 tire surface measurement point locations, when an experiment is performed, the 100 tire surface measurement point locations are sequentially traversed, and the traversed point locations are used as the tire surface point locations to be tested, an interference risk level corresponding to the traversed point locations is determined according to the method provided in this embodiment, if all the traversed point locations are completed, that is, the number of monitored point locations reaches 100, then the marking information is imported into the preset vehicle body three-dimensional data model, and the tire monitoring result is displayed on the graphical interface through color.
Referring to fig. 3, fig. 3 is a risk judgment logic diagram of an embodiment of the tire interference risk monitoring method of the present invention, where p (i) is a traversed tire surface point location to be tested, a current working condition parameter is obtained, a stress analysis is performed to determine a working condition intensity coefficient and a vehicle body stress coefficient, reference data is searched to determine an allowance value group a, b, c, a check gap L corresponding to the tire surface point location to be tested is obtained, a category corresponding to an opponent product corresponding to the tire surface point location to be tested is determined, if the category is a category, an allowance value is obtained as a, the check gap L is compared with the allowance value a, if L is greater than or equal to a, the tire surface point location to be tested is determined as a safe point, if L is less than a, L is compared with 0, if L is less than 0, the tire surface point location to be tested is determined as an interference point, if L is less than a and is greater than or equal to 0, the tire surface point location to be tested is determined as a risk point, and when all the point locations are monitored, i is more than or equal to 100, displaying the tire clearance checking result on a graphical interface system, wherein the interference point locations are displayed in red, the risk point locations are displayed in yellow, and the safety point locations are displayed in green.
In the embodiment, experimental parameters are obtained, wherein the experimental parameters comprise working condition strength experimental parameters and vehicle body stress experimental parameters; calculating according to the working condition strength experiment parameters and the vehicle body stress experiment parameters to obtain a working condition strength coefficient and a vehicle body stress coefficient; searching a corresponding reference margin value group from the reference data according to the working condition intensity coefficient and the vehicle body stress coefficient; determining the type of a vehicle body part corresponding to a target vehicle body part corresponding to the tire surface point position to be tested, and selecting a target allowance value from the reference allowance value according to the type of the vehicle body part; acquiring a check gap between a tire surface point position to be tested and a target vehicle body part, and comparing the check gap with a target allowance value to obtain a comparison result; and determining the interference risk grade corresponding to the surface point position of the tire to be tested according to the comparison result. Through the method, experimental parameters are analyzed, a reference margin value group is determined from preset datum data, different margin values are selected from the reference margin value group according to different vehicle body component types, namely different working conditions and different vehicle body component types correspond to different gap requirements in the embodiment, whether the checking gap meets the gap requirement is determined, and the corresponding interference risk level is automatically judged according to the comparison result.
Referring to fig. 4, fig. 4 is a schematic flow chart of a tire interference risk monitoring method according to a second embodiment of the present invention.
Based on the first embodiment, the step S30 of the tire interference risk monitoring method according to the present embodiment includes:
step S501: and determining the actual measurement gap between the surface point position of the tire to be tested and the target vehicle body component according to the tire attitude data.
In this embodiment, the actual measurement gap is obtained by analyzing the tire motion signal collected by the data collection sensor, and is the data collected by the sensor.
Step S502: and determining the current tire position where the tire surface point to be tested is located.
It is understood that the current tire position is any one of the tread, sidewall, and shoulder. In specific implementation, a plurality of measurement point locations are respectively arranged in the tread, the sidewall and the shoulder of the tire in advance, point location identifications and the tire locations are correspondingly stored in a preset storage area, and when step S302 is executed, the corresponding current tire location is searched from the preset storage area according to the point location identification corresponding to the surface point location of the tire to be tested. In another example, the motion state and the position relation of the tire are displayed in a three-dimensional digital model of the vehicle body in real time, and the current tire position is determined according to the position of the surface point of the tire to be tested in the three-dimensional digital model of the vehicle body.
Step S503: and determining a corresponding tire design compensation value according to the current tire position.
In the present embodiment, t represents a tire design compensation value of a tire tread, w represents a tire design compensation value of a tire sidewall, and s represents a tire design compensation value of a tire shoulder. The tire design compensation value may be entered by the user in advance according to the design profile.
Step S504: and determining a check gap according to the pre-input vehicle body manufacturing tolerance, the design compensation value and the actual measurement gap, and comparing the check gap with the target allowance value to obtain a comparison result.
It will be appreciated that the vehicle body manufacturing tolerances are tolerances allowed by the vehicle manufacturing process, primarily manufacturing tolerances of the parts opposite the tires, e.g., the suspension system and the vehicle body, and that the tire clearance verification in this embodiment takes into account two part tolerances: the tire tolerance (i.e. the tire design compensation value) and the vehicle body tolerance (i.e. the vehicle body manufacturing tolerance), the vehicle body manufacturing tolerance can be input by a user in advance according to a design file, in this embodiment, the check gap is a gap value used for checking after calculation and correction, and when the current tire position where the tire surface point to be tested is located is a tire tread, the check gap is represented as L ═ L '-t-r, where L' is an actually measured gap, t is a design compensation value of the tire tread, and r is a vehicle body manufacturing tolerance; when the current tire position where the tire surface point position to be tested is located is a tire side, the check gap is expressed as L-L' -w-r; when the current tire position where the tire surface point position to be tested is located is a tire side, the verification gap is expressed as L ═ L' -s-r.
In the specific implementation, when the system detection mode is detected to be the automatic monitoring mode, executing steps S10-S40, when the system detection mode is detected to be the non-automatic monitoring mode, analyzing a tire motion signal acquired by a data acquisition sensor to obtain an actual measurement gap, and acquiring a risk gap threshold value input by a user, wherein the risk gap threshold value is greater than a preset interference gap threshold value, and when the actual measurement gap is less than the interference gap threshold value, determining an interference risk grade corresponding to a tire surface point location to be tested as an interference grade, and marking the tire surface point location to be tested as an interference point location; when the actual measurement gap is smaller than the risk gap threshold and is larger than or equal to the interference gap threshold, determining the interference risk grade corresponding to the surface point position of the tire to be tested as a risk grade, and marking the surface point position of the tire to be tested as a risk point position; and when the actual measurement gap is larger than or equal to the risk gap threshold value, determining the interference risk level corresponding to the surface point position of the tire to be tested as a safety level, and marking the surface point position of the tire to be tested as a safety point position.
In the embodiment, experimental parameters are obtained, wherein the experimental parameters comprise working condition strength experimental parameters and vehicle body stress experimental parameters; calculating according to the working condition strength experiment parameters and the vehicle body stress experiment parameters to obtain a working condition strength coefficient and a vehicle body stress coefficient; searching a corresponding reference margin value group from the reference data according to the working condition intensity coefficient and the vehicle body stress coefficient; determining the type of a vehicle body part corresponding to a target vehicle body part corresponding to the tire surface point position to be tested, and selecting a target allowance value from the reference allowance value according to the type of the vehicle body part; determining an actual measurement gap between a tire surface point position to be tested and a target vehicle body component according to the tire attitude data; determining the current tire position where the surface point of the tire to be tested is located; determining a corresponding tire design compensation value according to the current tire position; determining a check clearance according to a vehicle body manufacturing tolerance, a design compensation value and an actually measured clearance which are input in advance, and comparing the check clearance with a target allowance value to obtain a comparison result; and determining the interference risk grade corresponding to the surface point position of the tire to be tested according to the comparison result. Through the method, experimental parameters are analyzed, a reference margin value group is determined from preset reference data, different margin values are selected from the reference margin value group according to different vehicle body component types, namely different working conditions and different vehicle body component types correspond to different gap requirements in the embodiment, measured gaps obtained through measurement are adjusted according to design compensation values corresponding to different tire positions and vehicle body manufacturing tolerances, more accurate verification gaps are obtained, accurate data support is further provided for monitoring the interference risk of the vehicle tire in the dynamic running of the vehicle, whether the verification gaps meet the gap requirements is determined, and the corresponding interference risk level is automatically judged according to a comparison result.
Referring to fig. 5, fig. 5 is a schematic flow chart of a tire interference risk monitoring method according to a third embodiment of the present invention.
Based on the first embodiment and the second embodiment, step S20 of the tire interference risk monitoring method according to the present embodiment includes:
step S201: and calculating the road surface input force according to the working condition strength experiment parameters to obtain a working condition strength coefficient.
Specifically, the working condition strength experiment parameters include the height of a road obstacle, an included angle between the vehicle advancing direction and the obstacle, a steering angle, a load, a vehicle weight and a vehicle speed, and the step S201: and calculating the road surface input force according to the height of the road surface barrier, the included angle between the vehicle advancing direction and the barrier, the steering angle, the vehicle speed, the load and the vehicle weight to obtain the working condition intensity coefficient.
It should be understood that the duty intensity factor corresponds to the force coefficient between the road surface and the wheel, and the larger the duty intensity factor is, the larger the force of the road surface on the wheel is. Referring to fig. 6, fig. 6 is a schematic view of a driving direction and an angle of the tire interference risk monitoring method according to an embodiment of the present invention, where β represents a steering angle of a vehicle, and α represents an included angle between a vehicle forward direction and an obstacle, and in this embodiment, a working condition intensity coefficient is determined according to a working condition intensity experiment parameter by using a formula (1):
wherein k is1The system is characterized by representing a working condition strength coefficient, m represents the vehicle weight and is obtained by adding the empty vehicle mass and the load, g represents the gravity acceleration, h represents the height of a road obstacle, alpha represents the included angle between the advancing direction of the vehicle and the obstacle, beta represents a steering angle, and v represents the vehicle speed.
Step S202: and calculating the stress of the vehicle body according to the vehicle body stress experiment parameters to obtain the stress coefficient of the vehicle body.
Specifically, the vehicle body stress experiment parameters comprise vehicle body stress information in a three-dimensional direction, acceleration information in a vehicle three-dimensional direction, load and vehicle weight; the step S202 includes: and calculating the stress of the vehicle body according to the stress information of the vehicle body, the acceleration information, the load and the vehicle weight to obtain the stress coefficient of the vehicle body.
The vehicle body stress coefficient corresponds to a coefficient of force between the wheel and the vehicle body, and the larger the vehicle body stress coefficient, the larger the force of the wheel on the vehicle body. In this embodiment, the vehicle body stress coefficient is determined according to the vehicle body stress experimental parameters through the formula (2):
in formula (2):
wherein k is2Representing the coefficient of force applied to the vehicle body, FxIndicating the force applied to the tyre in the X direction, i.e. the force applied to the vehicle body in the X direction, FyIndicating the Y-direction entry force of the tyre, i.e. the Y-direction force of the vehicle body, FzIndicating the Z-direction entry force of the tyre, i.e. the Z-direction force of the vehicle body, axRepresents the acceleration of the vehicle in the X direction, ayIndicating the acceleration of the vehicle in the Y direction, azThe Z-direction acceleration of the vehicle is shown, and m represents the vehicle weight, and is obtained by adding the empty vehicle mass and the load. Wherein F is the input value of a single wheel, and only one wheel is considered in the Y direction (namely, the input force of the left side and the right side)The two wheels simultaneously generate acting force with the vehicle body when the force is applied laterally, the front side, the rear side, the upper side and the lower side, so that the stress of the vehicle body is analyzed, and the stress coefficient of the vehicle body is obtained.
Specifically, before the step S20, the method further includes: acquiring a tire motion signal acquired by a sensor; and determining tire attitude data and vehicle body stress experiment parameters according to the tire motion signals.
It should be noted that in this embodiment, the tire motion signal acquired by the data acquisition sensor is set, the tire attitude data and the vehicle body stress experiment parameter are obtained through analysis, the actual measurement gap between the surface point location of the tire to be tested and the target vehicle body component is determined according to the tire attitude data, and the actual measurement gap is adjusted through the design value to obtain the verification gap; carrying out stress analysis according to the working condition strength experiment parameters and the vehicle body stress experiment parameters to obtain working condition strength coefficients and vehicle body stress coefficients, and searching reference data to obtain a reference margin value group; selecting a target allowance value from the reference allowance value group according to the type of the vehicle body part corresponding to the part; and comparing the checking clearance with the target allowance value, and determining the interference risk grade corresponding to the surface point position of the tire to be tested according to the comparison result.
In the embodiment, experimental parameters are obtained, wherein the experimental parameters comprise working condition strength experimental parameters and vehicle body stress experimental parameters; calculating the road surface input force according to the working condition strength experiment parameters to obtain a working condition strength coefficient; calculating the stress of the vehicle body according to the vehicle body stress experiment parameters to obtain a vehicle body stress coefficient; searching a corresponding reference margin value group from the reference data according to the working condition intensity coefficient and the vehicle body stress coefficient; determining the type of a vehicle body part corresponding to a target vehicle body part corresponding to the tire surface point position to be tested, and selecting a target allowance value from the reference allowance value according to the type of the vehicle body part; acquiring a check gap between a tire surface point position to be tested and a target vehicle body part, and comparing the check gap with a target allowance value to obtain a comparison result; and determining the interference risk grade corresponding to the surface point position of the tire to be tested according to the comparison result. Through the mode, the experimental parameters are analyzed, the working condition intensity coefficient and the vehicle body stress coefficient are determined, the reference margin value group is searched from the datum data, different margin values are selected from the reference margin value group according to different vehicle body component types, namely different tire stress conditions and different vehicle body component types correspond to different gap requirements in the embodiment, whether the check gap meets the gap requirements is determined, the corresponding interference risk level is automatically judged according to the comparison result, and the vehicle tire interference risk in the dynamic walking of the vehicle can be monitored in real time in the embodiment.
Referring to fig. 7, fig. 7 is a block diagram illustrating a tire interference risk monitoring device according to a first embodiment of the present invention.
As shown in fig. 7, a tire interference risk monitoring device according to an embodiment of the present invention includes:
and the data acquisition module 10 is used for acquiring experiment parameters, wherein the experiment parameters comprise working condition strength experiment parameters and vehicle body stress experiment parameters.
And the margin value calculation module 20 is used for calculating a working condition strength coefficient and a vehicle body stress coefficient according to the working condition strength experiment parameters and the vehicle body stress experiment parameters.
The margin value calculating module 20 is further configured to search a corresponding reference margin value group from the reference data according to the working condition intensity coefficient and the vehicle body stress coefficient.
The allowance value calculating module 20 is further configured to determine a type of a vehicle body component corresponding to a target vehicle body component corresponding to the tire surface point position to be tested, and select a target allowance value from the reference allowance value set according to the type of the vehicle body component.
And the risk analysis module 30 is configured to obtain a verification gap between the tire surface point location to be tested and the target vehicle body component, and compare the verification gap with the target allowance value to obtain a comparison result.
The risk analysis module 30 is further configured to determine an interference risk level corresponding to the to-be-tested tire surface point location according to the comparison result.
It should be understood that the above is only an example, and the technical solution of the present invention is not limited in any way, and in a specific application, a person skilled in the art may set the technical solution as needed, and the present invention is not limited thereto.
In the embodiment, experimental parameters are obtained, wherein the experimental parameters comprise working condition strength experimental parameters and vehicle body stress experimental parameters; calculating according to the working condition strength experiment parameters and the vehicle body stress experiment parameters to obtain a working condition strength coefficient and a vehicle body stress coefficient; searching a corresponding reference margin value group from the reference data according to the working condition intensity coefficient and the vehicle body stress coefficient; determining the type of a vehicle body part corresponding to a target vehicle body part corresponding to the tire surface point position to be tested, and selecting a target allowance value from the reference allowance value according to the type of the vehicle body part; acquiring a check gap between a tire surface point position to be tested and a target vehicle body part, and comparing the check gap with a target allowance value to obtain a comparison result; and determining the interference risk grade corresponding to the surface point position of the tire to be tested according to the comparison result. Through the method, experimental parameters are analyzed, a reference margin value group is determined from preset datum data, different margin values are selected from the reference margin value group according to different vehicle body component types, namely different working conditions and different vehicle body component types correspond to different gap requirements in the embodiment, whether the checking gap meets the gap requirement is determined, and the corresponding interference risk level is automatically judged according to the comparison result.
It should be noted that the above-described work flows are only exemplary, and do not limit the scope of the present invention, and in practical applications, a person skilled in the art may select some or all of them to achieve the purpose of the solution of the embodiment according to actual needs, and the present invention is not limited herein.
In addition, the technical details that are not described in detail in this embodiment may be referred to the tire interference risk monitoring method provided in any embodiment of the present invention, and are not described herein again.
In one embodiment, the tire interference risk monitoring device further comprises a displacement determination module;
the displacement determining module is used for determining the actual measurement clearance between the surface point position of the tire to be tested and the target vehicle body component according to the tire attitude data, determining the current tire position where the surface point position of the tire to be tested is located, determining the corresponding tire design compensation value according to the current tire position, and determining the verification clearance according to the vehicle body manufacturing tolerance, the design compensation value and the actual measurement clearance which are input in advance.
In an embodiment, the margin value calculating module 20 is further configured to calculate a road surface entry force according to the working condition strength experiment parameter to obtain a working condition strength coefficient, and calculate a vehicle body stress according to the vehicle body stress experiment parameter to obtain a vehicle body stress coefficient.
In one embodiment, the working condition strength experiment parameters comprise the height of a road surface obstacle, an included angle between a vehicle advancing direction and the obstacle, a steering angle, a load, a vehicle weight and a vehicle speed;
the margin value calculating module 20 is further configured to calculate a road surface input force according to the road surface obstacle height, an included angle between the vehicle advancing direction and the obstacle, the steering angle, the vehicle speed, the load and the vehicle weight, and obtain a working condition intensity coefficient.
In one embodiment, the vehicle body stress experiment parameters include vehicle body stress information in a three-dimensional direction, acceleration information in a three-dimensional direction of the vehicle, load and vehicle weight;
the margin value calculating module 20 is further configured to calculate a vehicle body stress according to the vehicle body stress information, the acceleration information, the load, and the vehicle weight, so as to obtain a vehicle body stress coefficient. .
In an embodiment, the data acquisition module 10 is further configured to acquire a tire motion signal acquired by a sensor, and determine tire attitude data and vehicle body stress experiment parameters according to the tire motion signal.
In an embodiment, the risk analysis module 30 is further configured to determine, when the check gap is greater than or equal to the target margin value, that an interference risk level corresponding to the tire surface point location to be tested is a safety level, mark the tire surface point location to be tested as a safety point location, determine, when the check gap is smaller than the target margin value, whether the check gap is smaller than a preset interference risk threshold, where the interference risk threshold is smaller than the target margin value, determine, when the check gap is smaller than the interference risk threshold, that the interference risk level corresponding to the tire surface point location to be tested is an interference level, mark the tire surface point location to be tested as an interference point location, and determine, when the check gap is greater than or equal to the interference gap threshold, that the interference risk level corresponding to the tire surface point location to be tested is a risk level, and marking the surface point position of the tire to be tested as a risk point position.
In one embodiment, the tire interference risk monitoring device further comprises a display module;
the display module is used for taking the surface point locations of the tire to be tested as monitored point locations, and when the number of the monitored point locations reaches a preset number, guiding the mark information corresponding to the monitored point locations into a preset vehicle body three-dimensional data model so as to graphically display interference risk levels corresponding to the monitored point locations.
Further, it is to be noted that, in this document, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or system that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or system. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other like elements in a process, method, article, or system that comprises the element.
The above-mentioned serial numbers of the embodiments of the present invention are merely for description and do not represent the merits of the embodiments.
Through the above description of the embodiments, those skilled in the art will clearly understand that the method of the above embodiments can be implemented by software plus a necessary general hardware platform, and certainly can also be implemented by hardware, but in many cases, the former is a better implementation manner. Based on such understanding, the technical solution of the present invention or portions thereof that contribute to the prior art may be embodied in the form of a software product, where the computer software product is stored in a storage medium (e.g. Read Only Memory (ROM)/RAM, magnetic disk, optical disk), and includes several instructions for enabling a terminal device (e.g. a mobile phone, a computer, a server, or a network device) to execute the method according to the embodiments of the present invention.
The above description is only a preferred embodiment of the present invention, and not intended to limit the scope of the present invention, and all modifications of equivalent structures and equivalent processes, which are made by using the contents of the present specification and the accompanying drawings, or directly or indirectly applied to other related technical fields, are included in the scope of the present invention.
Claims (10)
1. A tire interference risk monitoring method, comprising:
acquiring experiment parameters, wherein the experiment parameters comprise working condition strength experiment parameters and vehicle body stress experiment parameters;
calculating to obtain a working condition strength coefficient and a vehicle body stress coefficient according to the working condition strength experiment parameters and the vehicle body stress experiment parameters;
searching a corresponding reference margin value group from the reference data according to the working condition intensity coefficient and the vehicle body stress coefficient;
determining the type of a vehicle body part corresponding to a target vehicle body part corresponding to the surface point position of the tire to be tested, and selecting a target allowance value from the reference allowance value according to the type of the vehicle body part;
acquiring a check gap between the surface point position of the tire to be tested and the target vehicle body part, and comparing the check gap with the target allowance value to obtain a comparison result;
and determining the interference risk grade corresponding to the surface point position of the tire to be tested according to the comparison result.
2. The tire interference risk monitoring method of claim 1 wherein said obtaining a verification gap between said tire surface point location to be tested and said target vehicle body component comprises:
determining an actual measurement gap between the surface point position of the tire to be tested and the target vehicle body component according to the tire attitude data;
determining the current tire position where the surface point position of the tire to be tested is located;
determining a corresponding tire design compensation value according to the current tire position;
and determining a check gap according to the vehicle body manufacturing tolerance, the design compensation value and the measured gap which are input in advance.
3. The tire interference risk monitoring method according to claim 2, wherein the step of calculating the working condition intensity coefficient and the vehicle body stress coefficient according to the working condition intensity experiment parameters and the vehicle body stress experiment parameters comprises:
calculating the road surface input force according to the working condition strength experiment parameters to obtain a working condition strength coefficient;
and calculating the stress of the vehicle body according to the vehicle body stress experiment parameters to obtain the stress coefficient of the vehicle body.
4. The tire interference risk monitoring method according to claim 3, wherein the working condition intensity experiment parameters comprise road surface obstacle height, an included angle between a vehicle advancing direction and an obstacle, a steering angle, load, vehicle weight and vehicle speed;
calculating the road surface input force according to the working condition strength experiment parameters to obtain a working condition strength coefficient, wherein the working condition strength coefficient comprises the following steps:
and calculating the road surface input force according to the height of the road surface barrier, the included angle between the vehicle advancing direction and the barrier, the steering angle, the vehicle speed, the load and the vehicle weight to obtain the working condition intensity coefficient.
5. The tire interference risk monitoring method according to claim 3, wherein the vehicle body stress experiment parameters include vehicle body stress information in three-dimensional direction, acceleration information in vehicle three-dimensional direction, load and vehicle weight;
the step of calculating the stress of the vehicle body according to the vehicle body stress experiment parameters to obtain the stress coefficient of the vehicle body comprises the following steps:
and calculating the stress of the vehicle body according to the stress information of the vehicle body, the acceleration information, the load and the vehicle weight to obtain the stress coefficient of the vehicle body.
6. The tire interference risk monitoring method according to claim 5, wherein before the working condition intensity coefficient and the vehicle body stress coefficient are calculated according to the working condition intensity experiment parameters and the vehicle body stress experiment parameters, the method further comprises:
acquiring a tire motion signal acquired by a sensor;
and determining tire attitude data and vehicle body stress experiment parameters according to the tire motion signals.
7. The tire interference risk monitoring method according to any one of claims 1-6, wherein said determining an interference risk level corresponding to the tire surface point location to be tested according to the comparison result comprises:
when the checking clearance is larger than or equal to the target allowance value, determining the interference risk level corresponding to the surface point position of the tire to be tested as a safety level, and marking the surface point position of the tire to be tested as a safety point position;
when the check gap is smaller than the target margin value, judging whether the check gap is smaller than a preset interference risk threshold value, wherein the interference risk threshold value is smaller than the target margin value;
when the checking clearance is smaller than the interference risk threshold value, determining the interference risk grade corresponding to the surface point position of the tire to be tested as an interference grade, and marking the surface point position of the tire to be tested as an interference point position;
and when the verification gap is larger than or equal to the interference gap threshold value, determining the interference risk grade corresponding to the surface point position of the tire to be tested as a risk grade, and marking the surface point position of the tire to be tested as a risk point position.
8. The tire interference risk monitoring method according to claim 7, wherein after determining the interference risk level corresponding to the surface point position of the tire to be tested according to the comparison result, the method further comprises:
taking the surface point location of the tire to be tested as a monitored point location;
when the number of the monitored point locations reaches a preset number, importing the marking information corresponding to the monitored point locations into a preset vehicle body three-dimensional data model so as to graphically display interference risk levels corresponding to the monitored point locations.
9. A tire interference risk monitoring device, the tire interference risk monitoring device comprising:
the data acquisition module is used for acquiring experiment parameters, wherein the experiment parameters comprise working condition intensity experiment parameters and vehicle body stress experiment parameters;
the margin value calculating module is used for calculating a working condition strength coefficient and a vehicle body stress coefficient according to the working condition strength experiment parameters and the vehicle body stress experiment parameters;
the margin value calculating module is also used for searching a corresponding reference margin value group from datum data according to the working condition intensity coefficient and the vehicle body stress coefficient;
the allowance value calculating module is also used for determining the type of the vehicle body part corresponding to the target vehicle body part corresponding to the surface point position of the tire to be tested, and selecting a target allowance value from the reference allowance value according to the type of the vehicle body part;
the risk analysis module is used for acquiring a check gap between the surface point position of the tire to be tested and the target vehicle body part, and comparing the check gap with the target allowance value to obtain a comparison result;
and the risk analysis module is also used for determining the interference risk grade corresponding to the surface point position of the tire to be tested according to the comparison result.
10. A tire interference risk monitoring apparatus, the apparatus comprising: a memory, a processor, and a tire interference risk monitoring program stored on the memory and executable on the processor, the tire interference risk monitoring program configured to implement the tire interference risk monitoring method of any one of claims 1 to 8.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202111157528.6A CN113836737B (en) | 2021-09-29 | 2021-09-29 | Tire interference risk monitoring method, device and equipment |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202111157528.6A CN113836737B (en) | 2021-09-29 | 2021-09-29 | Tire interference risk monitoring method, device and equipment |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN113836737A true CN113836737A (en) | 2021-12-24 |
| CN113836737B CN113836737B (en) | 2023-10-27 |
Family
ID=78967891
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202111157528.6A Active CN113836737B (en) | 2021-09-29 | 2021-09-29 | Tire interference risk monitoring method, device and equipment |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN113836737B (en) |
Citations (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20060111853A1 (en) * | 2004-11-25 | 2006-05-25 | Toyota Jidosha Kabushiki Kaisha | Vehicle wheel state monitoring device and method |
| US20060178853A1 (en) * | 2004-09-14 | 2006-08-10 | Haosheng Chen | Method for monitoring tire pressure variation of automobile tire and system for realizing the same |
| US20100256874A1 (en) * | 2007-11-30 | 2010-10-07 | Volvo Lastvagnar Ab | Method of identifying positions of wheel modules |
| US20110166761A1 (en) * | 2010-01-07 | 2011-07-07 | Continental Automotive Gmbh | Method and device for determining a maximum coefficient of friction between a tire and an underlying surface |
| CN104509100A (en) * | 2012-07-27 | 2015-04-08 | 日产自动车株式会社 | Three-dimensional object detection device and three-dimensional object detection method |
| CN110001657A (en) * | 2019-04-19 | 2019-07-12 | 中睿宏智汽车技术（深圳）有限公司 | Vehicle safety control method and vehicle based on tire-state information |
| CN110175428A (en) * | 2019-06-03 | 2019-08-27 | 北京理工大学 | Vehicle movement characteristic Simulation method and system based on vehicle dynamic model |
| CN110395259A (en) * | 2019-07-16 | 2019-11-01 | 启迪云控(北京)科技有限公司 | A kind of estimation method of surface conditions, device, equipment and medium |
| US20200238770A1 (en) * | 2017-10-09 | 2020-07-30 | Nira Dynamics Ab | Determining a tire change status in a vehicle |
| CN113276603A (en) * | 2021-05-26 | 2021-08-20 | 深圳市元征未来汽车技术有限公司 | Risk reminding method, risk reminding device and electronic equipment |
-
2021
- 2021-09-29 CN CN202111157528.6A patent/CN113836737B/en active Active
Patent Citations (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20060178853A1 (en) * | 2004-09-14 | 2006-08-10 | Haosheng Chen | Method for monitoring tire pressure variation of automobile tire and system for realizing the same |
| US20060111853A1 (en) * | 2004-11-25 | 2006-05-25 | Toyota Jidosha Kabushiki Kaisha | Vehicle wheel state monitoring device and method |
| US20100256874A1 (en) * | 2007-11-30 | 2010-10-07 | Volvo Lastvagnar Ab | Method of identifying positions of wheel modules |
| US20110166761A1 (en) * | 2010-01-07 | 2011-07-07 | Continental Automotive Gmbh | Method and device for determining a maximum coefficient of friction between a tire and an underlying surface |
| CN104509100A (en) * | 2012-07-27 | 2015-04-08 | 日产自动车株式会社 | Three-dimensional object detection device and three-dimensional object detection method |
| US20200238770A1 (en) * | 2017-10-09 | 2020-07-30 | Nira Dynamics Ab | Determining a tire change status in a vehicle |
| CN110001657A (en) * | 2019-04-19 | 2019-07-12 | 中睿宏智汽车技术（深圳）有限公司 | Vehicle safety control method and vehicle based on tire-state information |
| CN110175428A (en) * | 2019-06-03 | 2019-08-27 | 北京理工大学 | Vehicle movement characteristic Simulation method and system based on vehicle dynamic model |
| CN110395259A (en) * | 2019-07-16 | 2019-11-01 | 启迪云控(北京)科技有限公司 | A kind of estimation method of surface conditions, device, equipment and medium |
| CN113276603A (en) * | 2021-05-26 | 2021-08-20 | 深圳市元征未来汽车技术有限公司 | Risk reminding method, risk reminding device and electronic equipment |
Non-Patent Citations (1)
| Title |
|---|
| 鞠学坤;王浩;赵龙;王鑫;陈国辉;刘雨龙;: "基于三维尺寸链的某车型轮胎间隙动态分析及灵敏度优化", 农业装备与车辆工程 * |
Also Published As
| Publication number | Publication date |
|---|---|
| CN113836737B (en) | 2023-10-27 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| US7469578B2 (en) | Method and apparatus for evaluating a cornering stability of a wheel | |
| Phanomchoeng et al. | New rollover index for the detection of tripped and untripped rollovers | |
| EP2270463B1 (en) | Tire wear analysis method | |
| US10507826B2 (en) | System and method for detecting an impending tip over of a vehicle | |
| JP7079373B2 (en) | Tread wear monitoring system and method | |
| CN112292271B (en) | Tread wear monitoring method, system, electronic control unit, and storage medium | |
| US8032344B2 (en) | Method of setting parameter in method of detecting decreased pneumatic pressure | |
| CN113635897B (en) | Safe driving early warning method based on risk field | |
| CN105823479A (en) | Driving behavior analysis method | |
| CN112507588A (en) | Method and system for evaluating influence of overloaded vehicle on bridge and computer equipment | |
| CN113157774A (en) | Vehicle cargo carrying and bearing monitoring method and system | |
| Alonso et al. | Toward a methodology to assess safety of a vehicle | |
| CN110967197B (en) | Automobile rollover stability analysis method | |
| CN113836737B (en) | Tire interference risk monitoring method, device and equipment | |
| CN107600074A (en) | Vehicle speed measurement method and device | |
| CN116358760A (en) | Method, device, equipment and storage medium for measuring load distribution of vehicle tyre | |
| KR101829700B1 (en) | Method for simulating a deflection radius of a motor vehicle tyre | |
| US6353777B1 (en) | Path correction for lane change analysis | |
| JP2018501466A (en) | Scaleable vehicle model for indoor tire testing | |
| JP4444342B2 (en) | Alarm threshold setting method in tire pressure drop detection method | |
| US20220219680A1 (en) | Information processing device, information processing method, and non-transitory computer-readable medium storing information processing program | |
| EP4187214B1 (en) | Systems and methods for determining an estimated weight of a vehicle | |
| CN115534974A (en) | Tire steady-state vertical load identification and calculation method, device, equipment and storage medium | |
| CN116653995A (en) | Vehicle axle load adjusting method, device, equipment and storage medium | |
| IT202100019016A1 (en) | METHOD AND SYSTEM FOR DETECTING AND LOCATING OBSTACLES/ELEMENTS ON THE ROAD PAVING WHICH ARE DANGEROUS OR POTENTIALLY DANGEROUS FOR THE INTEGRITY OF TIRES AND/OR VEHICLES |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |