CN113836737B - Tire interference risk monitoring method, device and equipment - Google Patents
Tire interference risk monitoring method, device and equipment Download PDFInfo
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- CN113836737B CN113836737B CN202111157528.6A CN202111157528A CN113836737B CN 113836737 B CN113836737 B CN 113836737B CN 202111157528 A CN202111157528 A CN 202111157528A CN 113836737 B CN113836737 B CN 113836737B
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- 238000012544 monitoring process Methods 0.000 title claims abstract description 48
- 238000013461 design Methods 0.000 claims description 22
- 238000005259 measurement Methods 0.000 claims description 20
- 230000001133 acceleration Effects 0.000 claims description 16
- 238000012806 monitoring device Methods 0.000 claims description 12
- 238000012795 verification Methods 0.000 claims description 12
- 238000004364 calculation method Methods 0.000 claims description 11
- 238000004519 manufacturing process Methods 0.000 claims description 11
- 238000012502 risk assessment Methods 0.000 claims description 9
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- 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
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- 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
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- 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
Abstract
The invention discloses a tire interference risk monitoring method, device and equipment. Comprising the following steps: acquiring experimental parameters, including working condition strength experimental parameters and vehicle body stress experimental parameters; calculating a working condition intensity coefficient and a vehicle body stress coefficient according to the parameter; searching a reference margin value group from the reference data according to the coefficient; determining a body part type of a target body part opposite to a tire surface point to be tested, and selecting a margin value from a reference margin value group; obtaining a check gap between the point location and the vehicle body part, and comparing the check gap with a margin value; thereby determining the interference risk level for that point. The invention can monitor the interference risk of the vehicle tyre in the dynamic running of the vehicle in real time.
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 the vehicle runs on a speed reducing belt, a rim or other severe roads, the wheels can exceed the designed theoretical limit position due to external impact, at the moment, tires and parts such as a vehicle body, a suspension, a steering system, a braking system and the like can interfere, so that the parts of the vehicle are damaged, and the serious condition can cause the faults of incapability of running, incapability of braking and the like of the vehicle.
At present, no method for monitoring the tire displacement in the dynamic running of the vehicle and further analyzing the interference risk of the vehicle tire is proposed. In the prior art, the residual gap of a fixed point position is generally measured by clay to test the displacement of the tire, and the following defects are caused: only the gaps of the selected points of the part can be measured, interference risks of all areas cannot be comprehensively estimated, and risk points are easy to miss. If interference occurs in a certain area, the magnitude of the interference cannot be measured, and thus the countermeasure target cannot be determined.
The foregoing is provided merely for the purpose of facilitating understanding of the technical solutions of the present invention and is not intended to represent an admission that the foregoing is prior art.
Disclosure of Invention
The invention mainly aims to provide a tire interference risk monitoring method, device and equipment, and aims to solve the technical problem of how to monitor the tire interference risk of a vehicle in dynamic running of the vehicle.
To achieve the above object, the present invention provides a tire interference risk monitoring method, the method comprising the steps of:
obtaining experimental parameters, wherein the experimental parameters comprise working condition strength experimental parameters and vehicle body stress experimental parameters;
calculating to obtain a working condition intensity coefficient and a vehicle body stress coefficient according to the working condition intensity experimental parameter and the vehicle body stress experimental parameter;
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 a vehicle body part type corresponding to a target vehicle body part opposite to a tire surface point to be tested, and selecting a target margin value from the reference margin value group according to the vehicle body part type;
obtaining a check gap between the tire surface point location 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 level corresponding to the tire surface point position to be tested according to the comparison result.
Optionally, the acquiring the 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 tire surface point location to be tested and the target vehicle body component according to the tire attitude data;
determining the current tire position of the tire surface point position to be tested;
determining a corresponding tire design compensation value according to the current tire position;
and determining a check clearance according to the pre-input vehicle body manufacturing tolerance, the design compensation value and the actual measurement clearance.
Optionally, the calculating according to the working condition intensity experimental parameter and the vehicle body stress experimental parameter to obtain a working condition intensity coefficient and a vehicle body stress coefficient includes:
calculating the pavement inflow force according to the working condition intensity experimental parameters to obtain a working condition intensity coefficient;
and calculating the stress of the vehicle body according to the experimental parameters of the stress of the vehicle body to obtain the stress coefficient of the vehicle body.
Optionally, the working condition intensity experimental parameters comprise road surface obstacle height, an included angle between the vehicle advancing direction and an obstacle, steering angle, load, vehicle weight and vehicle speed;
the step of calculating the pavement inflow force according to the working condition intensity experimental parameters to obtain the working condition intensity coefficient comprises the following steps:
and calculating the road surface entering force according to the height of the road surface obstacle, the included angle between the advancing direction of the vehicle and the obstacle, the steering angle, the vehicle speed, the load and the vehicle weight, and obtaining the working condition intensity coefficient.
Optionally, the vehicle body stress experimental parameters comprise vehicle body stress information in the three-dimensional direction, acceleration information in the three-dimensional direction of the vehicle, load and vehicle weight;
calculating the stress of the vehicle body according to the experimental parameters of the stress of the vehicle body to obtain the stress coefficient of the vehicle body, comprising:
and calculating the stress of the vehicle body according to the stress information of the vehicle body, the acceleration information, the load and the weight of the vehicle to obtain a stress coefficient of the vehicle body.
Optionally, before the working condition intensity coefficient and the vehicle body stress coefficient are obtained by calculation according to the working condition intensity experimental parameter and the vehicle body stress experimental parameter, the method further includes:
acquiring a tire movement signal acquired by a sensor;
and determining tire attitude data and vehicle body stress experimental parameters according to the tire motion signals.
Optionally, the determining, according to the comparison result, an interference risk level corresponding to the tire surface point location to be tested includes:
when the check clearance is larger than or equal to the target allowance value, determining that the interference risk level corresponding to the tire surface point position to be tested is a safety level, and marking the tire surface point position to be tested as a safety point position;
When the check gap is smaller than the target allowance 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 allowance value;
when the check gap is smaller than the interference risk threshold value, determining that the interference risk level corresponding to the tire surface point position to be tested is an interference level, and marking the tire surface point position to be tested as an interference point position;
and when the checking gap is larger than or equal to the interference gap threshold value, determining that the interference risk level corresponding to the tire surface point position to be tested is a risk level, and marking the tire surface point position to be tested as a risk point position.
Optionally, after determining the interference risk level corresponding to the tire surface point location to be tested according to the comparison result, the method further includes:
taking the tire surface point positions to be tested as monitored point positions;
when the number of the monitored points reaches the preset number, the marking information corresponding to the monitored points is imported into a preset vehicle body three-dimensional data model so as to graphically display the interference risk level corresponding to each monitored point.
In addition, to achieve the above object, the present invention also proposes a tire interference risk monitoring device including:
the data acquisition module is used for acquiring experimental parameters, wherein the experimental parameters comprise working condition intensity experimental parameters and vehicle body stress experimental parameters;
the margin value calculation module is used for calculating a working condition intensity coefficient and a vehicle body stress coefficient according to the working condition intensity experimental parameter and the vehicle body stress experimental parameter;
the margin value calculation module is further used for searching corresponding reference margin value groups from the reference data according to the working condition intensity coefficient and the vehicle body stress coefficient;
the margin value calculation module is further used for determining a vehicle body part type corresponding to a target vehicle body part opposite to the tire surface point to be tested, and selecting a target margin value from the reference margin value group according to the vehicle body part type;
the risk analysis module is used for obtaining a check gap between the tire surface point position 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 level corresponding to the tire surface point position to be tested according to the comparison result.
In addition, to achieve the above object, the present invention also proposes a tire interference risk monitoring apparatus including: a memory, a processor, and a tire intervention risk monitoring program stored on the memory and executable on the processor, the tire intervention risk monitoring program configured to implement the tire intervention risk monitoring method as described above.
According to the invention, experimental parameters are obtained, wherein the experimental parameters comprise working condition strength experimental parameters and vehicle body stress experimental parameters; calculating to obtain a working condition intensity coefficient and a vehicle body stress coefficient according to the working condition intensity experimental parameters and the vehicle body stress experimental parameters; searching corresponding reference margin value groups from the reference data according to the working condition intensity coefficient and the vehicle body stress coefficient; determining a vehicle body part type corresponding to a target vehicle body part opposite to the surface point of the tire to be tested, and selecting a target allowance value from the reference allowance value group according to the vehicle body part type; obtaining a check gap between a tire surface point location 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 level corresponding to the surface point position of the tire to be tested according to the comparison result. By 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 types of vehicle body parts, namely, different working conditions and different types of vehicle body parts correspond to different clearance requirements, whether the checking clearance meets the clearance requirements is determined, and corresponding interference risk levels are automatically judged according to comparison results.
Drawings
FIG. 1 is a schematic diagram of a tire intervention risk monitoring device for a hardware operating environment in accordance with an embodiment of the present invention;
FIG. 2 is a flowchart of a first embodiment of a tire interference risk monitoring method according to the present invention;
FIG. 3 is a logic diagram of risk assessment for an embodiment of a tire interference risk monitoring method according to the present invention;
FIG. 4 is a flowchart of a second embodiment of a tire interference risk monitoring method according to the present invention;
FIG. 5 is a flowchart of a third embodiment of a tire interference risk monitoring method according to the present invention;
FIG. 6 is a schematic view of driving directions and angles of an embodiment of a tire interference risk monitoring method according to the present invention;
fig. 7 is a block diagram of a first embodiment of a tire interference risk monitoring device of the present invention.
The achievement of the objects, functional features and advantages of the present invention will be further described with reference to the accompanying drawings, in conjunction with the embodiments.
Detailed Description
It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the scope of the invention.
Referring to fig. 1, fig. 1 is a schematic structural diagram of a tire interference risk monitoring device in a hardware running 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 (Central Processing Unit, CPU), a communication bus 1002, a user interface 1003, a network interface 1004, a memory 1005. Wherein the communication bus 1002 is used to enable connected communication between these components. The user interface 1003 may include a Display, an input unit such as a Keyboard (Keyboard), and the optional user interface 1003 may further 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 high-speed random access Memory (Random Access Memory, RAM) or a stable nonvolatile Memory (NVM), such as a disk Memory. The memory 1005 may also optionally be a storage device separate from the processor 1001 described above.
It will be appreciated by those skilled in the art that the structure shown in fig. 1 is not limiting of the tire interference risk monitoring apparatus and may include more or fewer components than shown, or certain components in combination, or a different arrangement of components.
As shown in fig. 1, an operating system, a network communication module, a user interface module, and a tire intervention risk monitoring program may be included in the memory 1005 as one type of storage medium.
In the tire intervention 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 in the tire interference risk monitoring apparatus of the present invention may be provided in the tire interference risk monitoring apparatus, which invokes 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.
An embodiment of the invention provides a tire interference risk monitoring method, referring to fig. 2, fig. 2 is a schematic flow chart of a first embodiment of the tire interference risk monitoring method of the invention.
In this embodiment, the tire interference risk monitoring method includes the following steps:
step S10: and obtaining experimental parameters, wherein the experimental parameters comprise working condition strength experimental parameters and vehicle body stress experimental parameters.
It can be understood that the execution body of the embodiment is a tire interference risk monitoring device, which may be a computer, a server, or other devices connected to the measurement sensor, or may be a whole vehicle controller installed on a vehicle, or may be other devices with computing functions, which is not limited in this embodiment.
It should be noted that, this embodiment proposes two implementation scenarios, the first is that the vehicle controller receives the working condition intensity parameter and the vehicle body stress parameter collected by the vehicle sensor through the CAN bus in the daily driving process of the vehicle, the second is that the computer provided with the monitoring system in the experimental process obtains the working condition intensity experimental parameter and the vehicle body stress experimental parameter through the data acquisition equipment arranged in advance, and the step of obtaining the working condition intensity parameter is described in detail by taking the experimental scenario as an example: before an experiment is carried out, a data acquisition sensor is arranged on a vehicle body, a monitoring software system is built on a computer, vehicle body data are imported into software, tire displacement data are acquired by the data acquisition sensor, the motion state and the position relation of tires are displayed in a three-dimensional model of the vehicle body in real time, when the experiment is carried out, a vehicle is controlled by a vehicle control device to drive 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 tires and the vehicle body is analyzed according to the data acquired by a load cell and an acceleration sensor on the vehicle body, and therefore the experiment parameters of the vehicle body stress are obtained. The experimental parameters of the stress of the vehicle body can comprise the stress magnitude and the stress direction. Further, the working condition intensity experimental parameters input into the same experiment and the vehicle body stress experimental parameters output by the experiment are input into the tire interference risk monitoring equipment of the embodiment in a number form, the tire interference risk monitoring equipment calls the corresponding working condition intensity experimental parameters such as the height of the road surface obstacle, the included angle between the vehicle advancing direction and the obstacle, the steering angle, the load, the vehicle weight, the vehicle speed and the like according to the number, and calls the vehicle body stress experimental parameters such as the vehicle body stress information in the three-dimensional direction, the acceleration information in the three-dimensional direction of the vehicle, the load, the vehicle weight and the like.
Step S20: and calculating the working condition intensity coefficient and the vehicle body stress coefficient according to the working condition intensity experimental parameter and the vehicle body stress experimental parameter.
It can be understood that the working condition intensity coefficient corresponds to the acting force coefficient between the road surface and the wheels, is related to the vehicle running parameter and the height of the road surface obstacle, the vehicle body stress coefficient corresponds to the acting force coefficient between the wheels and the vehicle body, is related to the vehicle body stress and the acceleration, and in specific implementation, the road surface entering force is calculated according to the working condition intensity experimental parameters such as the vehicle weight, the height of the road surface obstacle, the included angle between the vehicle advancing direction and the obstacle, the steering angle, the load, the vehicle weight, the vehicle speed and the like, the working condition intensity coefficient is obtained, and the vehicle body stress is calculated according to the vehicle body stress coefficient such as the stress information in the three-dimensional direction of the vehicle body and the acceleration information in the three-dimensional direction of the vehicle, so as to obtain the vehicle body stress coefficient. Further, a plurality of working condition intensity levels and a plurality of vehicle body stress levels are planned in advance, each working condition intensity level and each vehicle body stress level respectively correspond to a numerical range, and when the working condition intensity coefficient and the vehicle body stress coefficient are obtained through calculation, the corresponding working condition intensity levels and vehicle body stress levels are determined through comparison of the numerical ranges.
Step S30: and searching a corresponding reference margin value group from the datum data according to the working condition intensity coefficient and the vehicle body stress coefficient.
It can be understood that calibration experiments are carried out in advance according to different working condition intensity coefficients and different vehicle body stress coefficients, clearance critical values between various vehicle body parts and tires when interference risks exist under different working conditions are determined, the clearance critical values respectively corresponding to the various vehicle body parts 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 one-dimensional searching condition, the vehicle body stress coefficient is used as another-dimensional searching condition, and the cross value, namely the reference allowance value group is determined. Namely, the corresponding reference margin value group is selected according to different working condition intensity coefficients and different vehicle body stress coefficients. Further, setting working condition intensity levels and vehicle body stress levels, storing allowance value groups corresponding to different working condition intensity levels and different vehicle body stress levels in the reference data, taking the working condition intensity levels as one-dimensional searching conditions, taking the vehicle body stress levels as another-dimensional searching conditions, and searching the reference allowance value groups from the reference data.
Step S40: and determining a vehicle body part type corresponding to a target vehicle body part opposite to the surface point of the tire to be tested, and selecting a target allowance value from the reference allowance value group according to the vehicle body part type.
In this embodiment, the types of the vehicle body parts are classified into a class a, a class B and a class C according to the importance and the strength of the parts, and the types correspond to different allowance requirements, for example: the A type is fuel pipe, brake pipe, ABS, electronic parking wire harness and the like; class B is shock absorber, spring, triangle arm, auxiliary frame, etc.; the class C is a smooth plane such as a common face wheel cover, different tire surface points arranged on the tire surface are opposite to different vehicle body parts, the vehicle body parts opposite to the points are marked as corresponding hand parts corresponding to the points, the reference margin value group is represented as [ a, B and C ], and when the hand parts corresponding to the point on the tire surface to be tested are the class B, the target margin value is selected as B.
Step S50: and obtaining a check gap between the tire surface point position 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 the tire movement signal, the data acquisition analysis system analyzes the sensor signal, determines attitude data such as tire displacement, inclination angle and the like, stress data such as suspension, vehicle body stress and the like, and the tire interference risk monitoring equipment determines the verification gap between the surface point position of each tire to be tested and the opposite hand article according to the attitude data, and determines the comparison result between the verification gap and the target allowance value.
Step S60: and determining the interference risk level corresponding to the tire surface point position to be tested according to the comparison result.
It should be noted that, the interference risk level in this embodiment includes: the method comprises the steps of interference level, risk level and safety level, wherein the interference level represents that the surface point position of a tire to be tested is interfered with a hand article, at the moment, tire interference risk monitoring equipment can give an alarm aiming at the point position, prompt and record the current working condition, record the accurate time and coordinate position of interference occurrence, display a red warning mark on a vehicle body digital model, and intuitively and accurately display the interference point and the interference quantity corresponding to the interference point; the risk level represents that the surface point position of the tire to be tested and the hand article possibly interfere or are about to interfere, and the safety level represents that the surface point position of the tire to be tested and the hand article are not interfered and are in a normal running state. In a specific implementation, the risk level may be set to be a multi-level risk level according to the size of the target margin value, and when the check gap is smaller than the target margin value and greater than or equal to the interference gap threshold value, the corresponding risk level is determined according to the difference value between the check gap and the target margin value, for example, if the difference value is smaller, the corresponding interference risk level is determined to be a low risk level, and if the difference value is larger, the corresponding interference risk level is determined to be a high risk level.
Specifically, the step S60 includes: when the check clearance is larger than or equal to the target allowance value, determining that the interference risk level corresponding to the tire surface point position to be tested is a safety level, and marking the tire surface point position to be tested as a safety point position; when the check gap is smaller than the target allowance 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 allowance value; when the check gap is smaller than the interference risk threshold value, determining that the interference risk level corresponding to the tire surface point position to be tested is an interference level, and marking the tire surface point position to be tested as an interference point position; and when the checking gap is larger than or equal to the interference gap threshold value, determining that the interference risk level corresponding to the tire surface point position to be tested is a risk level, and marking the tire surface point position 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 between the vehicle tire and the hand product, and may be set to 0, or may be set to other smaller values in consideration of errors, and in a specific implementation, the points of different interference risk levels are marked, specifically, may be marked according to colors, for example, the safety point is marked as green, the risk point is marked as yellow, and the interference point is marked as red.
Further, after the step S60, the method further includes: taking the tire surface point positions to be tested as monitored point positions; when the number of the monitored points reaches the preset number, the marking information corresponding to the monitored points is imported into a preset vehicle body three-dimensional data model so as to graphically display the interference risk level corresponding to each monitored point.
It should be noted that, in this embodiment, the tire surface point location to be tested is denoted as P (i), assuming that the number of tire surface measurement points is set to 100 in advance, P (i) is any one of 100 tire surface measurement points set in advance, when an experiment is performed, traversing the 100 tire surface measurement points in sequence, taking the traversed point location as the tire surface point location to be tested, determining the interference risk level corresponding to the traversed point location according to the method provided by this embodiment, if all the points are traversed, that is, the number of monitored point locations reaches 100, introducing the marking information into a preset vehicle body three-dimensional data model, and displaying the tire monitoring result through color on a graphical interface.
Referring to fig. 3, fig. 3 is a risk judging logic diagram of an embodiment of the tire interference risk monitoring method according to the present invention, 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 a margin value group a, b and c, a check gap L corresponding to the tire surface point location to be tested is obtained, a category corresponding to a hand product corresponding to the tire surface point location to be tested is determined, if the category is a, the margin value is obtained as a, the check gap L is compared with the margin value a, if L is greater than or equal to a, the tire surface point location to be tested is determined as a safety point location, 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 location, if L is greater than or equal to 0, if L is greater than or equal to 100, a tire gap checking result is displayed on a graphical interface system, wherein the interference point location is red, the risk location is displayed as a yellow, and the safety point location is displayed as green.
According to the embodiment, experimental parameters are obtained, wherein the experimental parameters comprise working condition strength experimental parameters and vehicle body stress experimental parameters; calculating to obtain a working condition intensity coefficient and a vehicle body stress coefficient according to the working condition intensity experimental parameters and the vehicle body stress experimental parameters; searching corresponding reference margin value groups from the reference data according to the working condition intensity coefficient and the vehicle body stress coefficient; determining a vehicle body part type corresponding to a target vehicle body part opposite to the surface point of the tire to be tested, and selecting a target allowance value from the reference allowance value group according to the vehicle body part type; obtaining a check gap between a tire surface point location 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 level corresponding to the surface point position of the tire to be tested according to the comparison result. By 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 types of vehicle body parts, namely, different working conditions and different types of vehicle body parts correspond to different clearance requirements in the embodiment, whether the checking clearance meets the clearance requirements is determined, and corresponding interference risk levels are automatically judged according to comparison results.
Referring to fig. 4, fig. 4 is a flowchart illustrating a second embodiment of the tire interference risk monitoring method according to the present invention.
Based on the first embodiment, the step S30 of the tire interference risk monitoring method of the present embodiment includes:
step S501: and determining the actual measurement gap between the tire surface point position 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 collecting sensor, and is the data collected by the sensor.
Step S502: and determining the current tire position of the tire surface point position to be tested.
It is understood that the current tire location is any one of the tread, sidewall, and shoulder. In a specific implementation, a plurality of measurement points are set in the tread, the sidewall and the tire shoulder of the tire in advance, point position identifiers and tire positions are correspondingly stored in a preset storage area, and when the step S302 is executed, corresponding current tire positions are searched from the preset storage area according to the point position identifiers corresponding to the point positions of the surface of the tire to be tested. In another example, the motion state and the position relation of the tire are displayed in the three-dimensional 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 model of the vehicle body.
Step S503: and determining a corresponding tire design compensation value according to the current tire position.
In this 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 clearance according to the pre-input vehicle body manufacturing tolerance, the design compensation value and the actually measured clearance, and comparing the check clearance with the target allowance value to obtain a comparison result.
It will be appreciated that the vehicle body manufacturing tolerances are those allowed by the vehicle manufacturing process, mainly those of the components opposite to the tire, for example, those of the suspension system and the vehicle body, and the tire clearance verification in this embodiment considers 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) can be input in advance by a user according to a design file, in the embodiment, the verification gap is a gap value for verification after calculation and correction, when the current tire position where the point on the surface of the tire to be tested is located is the tread, the verification gap is expressed as l=l '-t-r, wherein L' is the actual measurement gap, t is the design compensation value of the tire tread, and r is the vehicle body manufacturing tolerance; when the current tire position where the tire surface point to be tested is located is a sidewall, the check gap is expressed as l=l' -w-r; when the current tire position where the tire surface point to be tested is located is the sidewall, the verification gap is expressed as l=l' -s-r.
In specific implementation, when the system detection mode is detected to be an automatic monitoring mode, executing steps S10-S40, when the system detection mode is detected to be a non-automatic monitoring mode, analyzing according to the tire motion signals acquired by the 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 larger than a preset interference gap threshold value, and when the actual measurement gap is smaller than the interference gap threshold value, determining an interference risk level corresponding to a tire surface point position to be tested as an interference level, and marking the tire surface point position to be tested as an interference point position; when the actually measured clearance is smaller than the risk clearance threshold value and larger than or equal to the interference clearance threshold value, determining that the interference risk level corresponding to the tire surface point position to be tested is a risk level, and marking the tire surface point position to be tested as a risk point position; and when the actually measured clearance is greater than or equal to the risk clearance threshold value, determining that the interference risk level corresponding to the tire surface point position to be tested is a safety level, and marking the tire surface point position to be tested as a safety point position.
According to the embodiment, experimental parameters are obtained, wherein the experimental parameters comprise working condition strength experimental parameters and vehicle body stress experimental parameters; calculating to obtain a working condition intensity coefficient and a vehicle body stress coefficient according to the working condition intensity experimental parameters and the vehicle body stress experimental parameters; searching corresponding reference margin value groups from the reference data according to the working condition intensity coefficient and the vehicle body stress coefficient; determining a vehicle body part type corresponding to a target vehicle body part opposite to the surface point of the tire to be tested, and selecting a target allowance value from the reference allowance value group according to the vehicle body part type; determining an actual measurement gap between a tire surface point location to be tested and a target vehicle body component according to tire attitude data; determining the current tire position of the tire surface point to be tested; determining a corresponding tire design compensation value according to the current tire position; determining a check gap according to a pre-input vehicle body manufacturing tolerance, a design compensation value and an actual measurement gap, and comparing the check gap with a target allowance value to obtain a comparison result; and determining the interference risk level corresponding to the surface point position of the tire to be tested according to the comparison result. By 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 types of vehicle body parts, namely different working conditions and different types of vehicle body parts correspond to different clearance requirements in the embodiment, measured actual measurement clearance is adjusted according to design compensation values corresponding to different tire positions and vehicle body manufacturing tolerances, more accurate check clearance is obtained, accurate data support is further provided for monitoring vehicle tire interference risks in dynamic running of a vehicle, whether the check clearance meets the clearance requirements is determined, the corresponding interference risk level is automatically judged according to comparison results, and the embodiment can accurately determine the check clearance in real time and monitor the vehicle tire interference risks in dynamic running of the vehicle.
Referring to fig. 5, fig. 5 is a flowchart of a third embodiment of the tire interference risk monitoring method according to the present invention.
Based on the first and second embodiments, the step S20 of the tire interference risk monitoring method of the present embodiment includes:
step S201: and calculating the pavement inflow force according to the working condition intensity experimental parameters to obtain the working condition intensity coefficient.
Specifically, the experimental parameters of the working condition intensity include the height of the road obstacle, the included angle between the vehicle advancing direction and the obstacle, the steering angle, the load, the vehicle weight and the vehicle speed, and the step S201: and calculating the road surface entering force according to the height of the road surface obstacle, the included angle between the advancing direction of the vehicle and the obstacle, the steering angle, the vehicle speed, the load and the vehicle weight, and obtaining the working condition intensity coefficient.
It should be understood that the operating mode strength coefficient corresponds to the coefficient of force between the road surface and the wheels, the greater the operating mode strength coefficient, the greater the force exerted by the road surface on the wheels. Referring to fig. 6, fig. 6 is a schematic diagram of a driving direction and an angle of an embodiment of a tire interference risk monitoring method according to the present invention, β represents a steering angle of a vehicle, α represents an included angle between a forward direction of the vehicle and an obstacle, and in this embodiment, a working condition intensity coefficient is determined according to a working condition intensity experimental parameter by a formula (1):
Wherein k is 1 The working condition intensity coefficient is represented by m, the vehicle weight is obtained by adding empty vehicle mass and load, g represents gravitational acceleration, h represents road surface obstacle height, alpha represents an included angle between the vehicle advancing direction and an obstacle, beta represents a steering angle, and v represents vehicle speed.
Step S202: and calculating the stress of the vehicle body according to the experimental parameters of the stress of the vehicle body to obtain the stress coefficient of the vehicle body.
Specifically, the vehicle body stress experimental parameters comprise vehicle body stress information in the three-dimensional direction, acceleration information in the three-dimensional direction of the vehicle, 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 weight of the vehicle to obtain a stress coefficient of the vehicle body.
The vehicle body stress coefficient corresponds to the force coefficient between the wheels and the vehicle body, and the larger the vehicle body stress coefficient is, the larger the force applied to the vehicle body by the wheels is. In the embodiment, the stress coefficient of the vehicle body is determined according to the experimental parameters of the stress of the vehicle body through a formula (2):
in the formula (2):
wherein k is 2 Representing the stress coefficient of the vehicle body, F x Representing the X-direction force of the tyre, i.e. the X-direction force of the vehicle body, F y Representing the force applied in the Y direction of the tire, i.e. the force applied in the Y direction of the vehicle body, F z Indicating the Z-direction force of the tyre, namely the Z-direction force of the vehicle body, a x Indicating the acceleration of the vehicle in the X direction, a y Indicating the Y-direction acceleration of the vehicle, a z The vehicle Z-direction acceleration is represented, m represents the vehicle weight, and the vehicle weight is obtained by adding empty vehicle mass and load. Wherein F is a single wheel force input value, only single side force input is considered in the Y direction (namely left and right side force input), and front and rear sides and upper and lower side force input are considered, and two wheels and a vehicle body generate acting force at the same time, so that the vehicle body stress is analyzed, and a vehicle body stress coefficient is obtained.
Specifically, before the step S20, the method further includes: acquiring a tire movement signal acquired by a sensor; and determining tire attitude data and vehicle body stress experimental parameters according to the tire motion signals.
In this embodiment, a tire motion signal collected by a data collection sensor is set, tire attitude data and vehicle body stress experimental parameters are obtained through analysis, an actual measurement gap between a tire surface point location to be tested and a target vehicle body component is determined according to the tire attitude data, and the actual measurement gap is adjusted through a design value to obtain a verification gap; carrying out stress analysis according to the working condition strength experimental parameters and the vehicle body stress experimental parameters to obtain working condition strength coefficients and vehicle body stress coefficients, and searching reference data to obtain reference margin value groups; selecting a target margin value from the reference margin value group according to the type of the vehicle body part corresponding to the hand product; and comparing the checking gap with the target allowance value, and determining the interference risk level corresponding to the surface point position of the tire to be tested according to the comparison result.
According to the embodiment, experimental parameters are obtained, wherein the experimental parameters comprise working condition strength experimental parameters and vehicle body stress experimental parameters; calculating the pavement inflow force according to the working condition intensity experimental parameters to obtain the working condition intensity coefficient; calculating the stress of the vehicle body according to the experimental parameters of the stress of the vehicle body to obtain the stress coefficient of the vehicle body; searching corresponding reference margin value groups from the reference data according to the working condition intensity coefficient and the vehicle body stress coefficient; determining a vehicle body part type corresponding to a target vehicle body part opposite to the surface point of the tire to be tested, and selecting a target allowance value from the reference allowance value group according to the vehicle body part type; obtaining a check gap between a tire surface point location 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 level corresponding to the surface point position of the tire to be tested according to the comparison result. By the method, experimental parameters are analyzed, working condition intensity coefficients and vehicle body stress coefficients are determined, reference allowance value groups are searched from the datum data, different allowance values are selected from the reference allowance value groups according to different vehicle body part types, namely, different tire stress conditions and different vehicle body part 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 embodiment can monitor the vehicle tire interference risk in the vehicle dynamic running in real time.
Referring to fig. 7, fig. 7 is a block diagram of a first embodiment of a tire interference risk monitoring device according to the present invention.
As shown in fig. 7, the tire interference risk monitoring device according to the embodiment of the present invention includes:
the data acquisition module 10 is configured to acquire experimental parameters, where the experimental parameters include an experimental parameter of working condition intensity and an experimental parameter of vehicle body stress.
And the margin value calculating module 20 is configured to calculate a working condition intensity coefficient and a vehicle body stress coefficient according to the working condition intensity experimental parameter and the vehicle body stress experimental parameter.
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 margin value calculating module 20 is further configured to determine a type of a vehicle body component corresponding to a target vehicle body component opposite to the tire surface point to be tested, and select a target margin value from the set of reference margin values according to the type of the vehicle body component.
And the risk analysis module 30 is configured to obtain a check gap between the tire surface point location to be tested and the target vehicle body component, and compare the check 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 surface point location of the tire to be tested according to the comparison result.
It should be understood that the foregoing is illustrative only and is not limiting, and that in specific applications, those skilled in the art may set the invention as desired, and the invention is not limited thereto.
According to the embodiment, experimental parameters are obtained, wherein the experimental parameters comprise working condition strength experimental parameters and vehicle body stress experimental parameters; calculating to obtain a working condition intensity coefficient and a vehicle body stress coefficient according to the working condition intensity experimental parameters and the vehicle body stress experimental parameters; searching corresponding reference margin value groups from the reference data according to the working condition intensity coefficient and the vehicle body stress coefficient; determining a vehicle body part type corresponding to a target vehicle body part opposite to the surface point of the tire to be tested, and selecting a target allowance value from the reference allowance value group according to the vehicle body part type; obtaining a check gap between a tire surface point location 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 level corresponding to the surface point position of the tire to be tested according to the comparison result. By 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 types of vehicle body parts, namely, different working conditions and different types of vehicle body parts correspond to different clearance requirements in the embodiment, whether the checking clearance meets the clearance requirements is determined, and corresponding interference risk levels are automatically judged according to comparison results.
It should be noted that the above-described working procedure is merely illustrative, and does not limit the scope of the present invention, and in practical application, a person skilled in the art may select part or all of them according to actual needs to achieve the purpose of the embodiment, which is not limited herein.
In addition, technical details not described in detail in the present embodiment may refer to the tire interference risk monitoring method provided in any embodiment of the present invention, and are not described herein.
In an embodiment, the tire interference risk monitoring device further comprises a displacement determination module;
the displacement determining module is used for determining an actual measurement gap between the tire surface point position to be tested and the target vehicle body component according to tire attitude data, determining a current tire position where the tire surface point position to be tested is located, determining a corresponding tire design compensation value according to the current tire position, and determining a verification gap according to a vehicle body manufacturing tolerance, the design compensation value and the actual measurement gap which are input in advance.
In an embodiment, the margin value calculating module 20 is further configured to calculate a road surface entering force according to the working condition intensity experimental parameter to obtain a working condition intensity coefficient, and calculate a vehicle body stress according to the vehicle body stress experimental parameter to obtain a vehicle body stress coefficient.
In an embodiment, the experimental parameters of the working condition intensity include the height of the obstacle on the road surface, the included angle between the advancing direction of the vehicle and the obstacle, the steering angle, the load, the vehicle weight and the vehicle speed;
the margin value calculating module 20 is further configured to calculate a road surface entering force according to the road surface obstacle height, the included angle between the vehicle advancing direction and the obstacle, the steering angle, the vehicle speed, the load and the vehicle weight, so as to obtain a working condition intensity coefficient.
In an embodiment, the vehicle body stress experimental parameters include vehicle body stress information in a three-dimensional direction, acceleration information in the 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 posture data and vehicle body stress experimental parameters according to the tire motion signal.
In an embodiment, the risk analysis module 30 is further configured to determine that, when the check gap is greater than or equal to the target allowance value, an interference risk level corresponding to the tire surface point to be tested is a security level, mark the tire surface point to be tested as a security point, determine, when the check gap is less than the target allowance value, whether the check gap is less than a preset interference risk threshold, determine, when the check gap is less than the interference risk threshold, that the interference risk level corresponding to the tire surface point to be tested is an interference level, mark the tire surface point to be tested as an interference point, 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 to be tested is a risk level, and mark the tire surface point to be tested as a risk point.
In one embodiment, the tire interference risk monitoring device further comprises a display module;
the display module is used for taking the surface point positions of the tire to be tested as monitored point positions, and importing the marking information corresponding to the monitored point positions into a preset vehicle body three-dimensional data model when the number of the monitored point positions reaches the preset number, so as to graphically display the interference risk levels corresponding to the monitored point positions.
Furthermore, it should 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 one … …" does not exclude the presence of other like elements in a process, method, article, or system that comprises the element.
The foregoing embodiment numbers of the present invention are merely for the purpose of description, and do not represent the advantages or disadvantages of the embodiments.
From the above description of the embodiments, it will be clear to those skilled in the art that the above-described embodiment method may be implemented by means of software plus a necessary general hardware platform, but of course may also be implemented by means of hardware, but in many cases the former is a preferred embodiment. Based on such understanding, the technical solution of the present invention may be embodied essentially or in a part contributing to the prior art in the form of a software product stored in a storage medium (e.g. Read Only Memory)/RAM, magnetic disk, optical disk) and including several instructions for causing a terminal device (which may be a mobile phone, a computer, a server, or a network device, etc.) to perform the method according to the embodiments of the present invention.
The foregoing description is only of the preferred embodiments of the present invention, and is not intended to limit the scope of the invention, but rather is intended to cover any equivalents of the structures or equivalent processes disclosed herein or in the alternative, which may be employed directly or indirectly in other related arts.
Claims (7)
1. A tire interference risk monitoring method, characterized in that the tire interference risk monitoring method comprises:
Obtaining experimental parameters, wherein the experimental parameters comprise working condition strength experimental parameters and vehicle body stress experimental parameters;
calculating to obtain a working condition intensity coefficient and a vehicle body stress coefficient according to the working condition intensity experimental parameter and the vehicle body stress experimental parameter;
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 a vehicle body part type corresponding to a target vehicle body part opposite to a tire surface point to be tested, and selecting a target margin value from the reference margin value group according to the vehicle body part type;
obtaining a check gap between the tire surface point location to be tested and the target vehicle body part, and comparing the check gap with the target allowance value to obtain a comparison result;
determining interference risk levels corresponding to the surface point positions of the tire to be tested according to the comparison results;
the step of obtaining the verification gap between the tire surface point location to be tested and the target vehicle body part comprises the following steps:
determining an actual measurement gap between the tire surface point location to be tested and the target vehicle body component according to the tire attitude data;
Determining the current tire position of the tire surface point position to be tested;
determining a corresponding tire design compensation value according to the current tire position;
determining a check clearance according to a pre-input vehicle body manufacturing tolerance, the design compensation value and the actual measurement clearance;
wherein, according to operating mode intensity experimental parameter and the calculation of automobile body atress experimental parameter obtains operating mode intensity coefficient and automobile body atress coefficient, includes:
calculating the pavement inflow force according to the working condition intensity experimental parameters to obtain a working condition intensity coefficient;
calculating the stress of the vehicle body according to the experimental parameters of the stress of the vehicle body to obtain the stress coefficient of the vehicle body;
the determining, according to the comparison result, the interference risk level corresponding to the tire surface point location to be tested includes:
when the check clearance is larger than or equal to the target allowance value, determining that the interference risk level corresponding to the tire surface point position to be tested is a safety level, and marking the tire surface point position to be tested as a safety point position;
when the check gap is smaller than the target allowance value, judging whether the check gap is smaller than a preset interference risk threshold value, wherein the preset interference risk threshold value is smaller than the target allowance value;
When the check gap is smaller than the interference risk threshold value, determining that the interference risk level corresponding to the tire surface point position to be tested is an interference level, and marking the tire surface point position to be tested as an interference point position;
and when the check clearance is greater than or equal to the interference risk threshold value, determining that the interference risk level corresponding to the tire surface point position to be tested is a risk level, and marking the tire surface point position to be tested as a risk point position.
2. The method for monitoring risk of tire interference according to claim 1, wherein the experimental parameters of the working condition intensity include road surface obstacle height, an included angle between a vehicle advancing direction and an obstacle, a steering angle, a load, a vehicle weight and a vehicle speed;
the step of calculating the pavement inflow force according to the working condition intensity experimental parameters to obtain the working condition intensity coefficient comprises the following steps:
and calculating the road surface entering force according to the height of the road surface obstacle, the included angle between the advancing direction of the vehicle and the obstacle, the steering angle, the vehicle speed, the load and the vehicle weight, and obtaining the working condition intensity coefficient.
3. The method for monitoring risk of tire interference according to claim 1, wherein the experimental parameters of the vehicle body stress include information of the vehicle body stress in the three-dimensional direction, information of acceleration in the three-dimensional direction of the vehicle, load and vehicle weight;
Calculating the stress of the vehicle body according to the experimental parameters of the stress of the vehicle body to obtain the stress coefficient of the vehicle body, comprising:
and calculating the stress of the vehicle body according to the stress information of the vehicle body, the acceleration information, the load and the weight of the vehicle to obtain a stress coefficient of the vehicle body.
4. A tire interference risk monitoring method according to claim 3, wherein before said calculating a working condition intensity coefficient and a vehicle body stress coefficient according to said working condition intensity experimental parameter and said vehicle body stress experimental parameter, said method further comprises:
acquiring a tire movement signal acquired by a sensor;
and determining tire attitude data and vehicle body stress experimental parameters according to the tire motion signals.
5. The method for monitoring risk of interference of a tire according to claim 1, wherein after determining the interference risk level corresponding to the tire surface point location to be tested according to the comparison result, the method further comprises:
taking the tire surface point positions to be tested as monitored point positions;
when the number of the monitored points reaches the preset number, the marking information corresponding to the monitored points is imported into a preset vehicle body three-dimensional data model so as to graphically display the interference risk level corresponding to each monitored point.
6. A tire interference risk monitoring device, characterized in that the tire interference risk monitoring device comprises:
the data acquisition module is used for acquiring experimental parameters, wherein the experimental parameters comprise working condition intensity experimental parameters and vehicle body stress experimental parameters;
the margin value calculation module is used for calculating a working condition intensity coefficient and a vehicle body stress coefficient according to the working condition intensity experimental parameter and the vehicle body stress experimental parameter;
the margin value calculation module is further used for searching corresponding reference margin value groups from the reference data according to the working condition intensity coefficient and the vehicle body stress coefficient;
the margin value calculation module is further used for determining a vehicle body part type corresponding to a target vehicle body part opposite to the tire surface point to be tested, and selecting a target margin value from the reference margin value group according to the vehicle body part type;
the risk analysis module is used for obtaining a check gap between the tire surface point position to be tested and the target vehicle body part, and comparing the check gap with the target allowance value to obtain a comparison result;
the risk analysis module is further used for determining interference risk levels corresponding to the surface point positions of the tire to be tested according to the comparison result;
The tire interference risk monitoring device further comprises a displacement determining module, wherein the displacement determining module is used for determining an actual measurement gap between the tire surface point position to be tested and the target vehicle body component according to tire attitude data, determining a current tire position where the tire surface point position to be tested is located, determining a corresponding tire design compensation value according to the current tire position, and determining a verification gap according to a vehicle body manufacturing tolerance, the design compensation value and the actual measurement gap which are input in advance;
the allowance value calculation module is also used for calculating the pavement entering force according to the working condition intensity experimental parameters to obtain a working condition intensity coefficient, and calculating the vehicle body stress according to the vehicle body stress experimental parameters to obtain a vehicle body stress coefficient;
the risk analysis module is further configured to determine that an interference risk level corresponding to the tire surface point location to be tested is a safety level when the check gap is greater than or equal to the target allowance value, mark the tire surface point location to be tested as a safety level, determine whether the check gap is smaller than a preset interference risk threshold when the check gap is smaller than the target allowance value, determine that the interference risk level corresponding to the tire surface point location to be tested is an interference level when the check gap is smaller than the interference risk threshold, mark the tire surface point location to be tested as an interference point location when the check gap is greater than or equal to the interference risk threshold, and mark the tire surface point location to be tested as a risk point location.
7. A tire interference risk monitoring apparatus, the apparatus comprising: a memory, a processor, and a tire intervention risk monitoring program stored on the memory and executable on the processor, the tire intervention risk monitoring program configured to implement the tire intervention risk monitoring method of any of claims 1 to 5.
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