CN111623997A - Method and device for constructing vehicle test field, electronic equipment and readable storage medium - Google Patents
Method and device for constructing vehicle test field, electronic equipment and readable storage medium Download PDFInfo
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- CN111623997A CN111623997A CN202010455125.9A CN202010455125A CN111623997A CN 111623997 A CN111623997 A CN 111623997A CN 202010455125 A CN202010455125 A CN 202010455125A CN 111623997 A CN111623997 A CN 111623997A
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- 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
Abstract
The application provides a construction method and a device of a vehicle test field, electronic equipment and a readable storage medium, wherein the construction method comprises the following steps: determining a plurality of detection position points of the vehicle to be detected based on the acquired parameter information of the vehicle to be detected; acquiring working condition data corresponding to each detection position point under different road surface types; calculating a pseudo damage value corresponding to a vehicle to be detected at each detection position point under each road surface type and a frequency damage corresponding to the vehicle to be detected under each road surface type based on the obtained multiple working condition data; according to the method, the vehicle test field corresponding to the vehicle to be detected is constructed according to the plurality of pseudo damage values and the plurality of frequency damages corresponding to the vehicle to be detected, and then the vehicle test field matched with the vehicle to be detected can be constructed according to the parameter information of each vehicle to be detected, so that the accuracy of the vehicle quality identification result is improved, and the potential safety hazard when a user uses the vehicle to be detected can be reduced.
Description
Technical Field
The present disclosure relates to the field of vehicle development technologies, and in particular, to a method and an apparatus for constructing a vehicle test field, an electronic device, and a readable storage medium.
Background
The vehicle test field is a test field simulating various roads on which vehicles run. The road in the vehicle test field is a simulated road after concentration and reinforcement based on the actual existing road. The testing of vehicles in a vehicle test field is more rigorous, scientific, rapid, and practical than in laboratory or general driving conditions, with the primary objective being to characterize the quality of the vehicle.
At present, the existing vehicle test fields are basically the same, and in the vehicle detection process, detection personnel detect vehicles of different models in the same vehicle test field according to the same detection standard, but for vehicles of different models, if the same vehicle test field is used for vehicle detection, deviation exists between the detection personnel and the real driving process of the vehicle, so that the detection result is inaccurate, the road condition analysis on the actual driving road is inaccurate, the vehicle configuration is unreasonable, and further, potential safety hazards exist in the vehicle using process of a user.
Disclosure of Invention
In view of this, an object of the present application is to provide a method and an apparatus for constructing a vehicle test field, an electronic device, and a readable storage medium, which can construct a vehicle test field matched with a vehicle to be detected according to parameter information of each vehicle to be detected, so as to help improve accuracy of a vehicle quality identification result, and reduce potential safety hazards when a user uses the vehicle to be detected.
The embodiment of the application provides a construction method of a vehicle test field, which comprises the following steps:
determining a plurality of detection position points of the vehicle to be detected based on the acquired parameter information of the vehicle to be detected;
acquiring working condition data corresponding to each detection position point under different road surface types;
calculating a pseudo damage value corresponding to the vehicle to be detected at each detection position point under each road surface type and a frequency damage corresponding to the vehicle to be detected under each road surface type based on the obtained working condition data;
and constructing a vehicle test field corresponding to the vehicle to be detected according to the plurality of pseudo damage values corresponding to the vehicle to be detected and the plurality of frequency damages.
Further, the determining a plurality of detection position points of the vehicle to be detected based on the acquired parameter information of the vehicle to be detected includes:
determining a to-be-detected area of a to-be-detected vehicle based on the acquired parameter information of the to-be-detected vehicle;
and determining a plurality of position points to be detected from the area to be detected.
Further, calculating a pseudo damage value corresponding to the vehicle to be detected at each detection position point under each road surface type through the following steps:
determining a preset load-life curve corresponding to the vehicle to be detected according to the area to be detected;
and determining a pseudo damage value corresponding to the vehicle to be detected at each detection position point under each road surface type through a rain flow counting algorithm based on the preset load-life curve.
Further, the constructing a vehicle test field corresponding to the vehicle to be detected according to the plurality of pseudo damage values and the plurality of frequency damages corresponding to the vehicle to be detected includes:
determining a plurality of road surface types to be constructed in a vehicle test field corresponding to the vehicle to be detected based on the plurality of pseudo-damage values corresponding to the vehicle to be detected;
determining target frequency damage corresponding to each road surface type to be constructed according to the plurality of frequency damages corresponding to the vehicle to be detected;
and constructing a vehicle test field corresponding to the vehicle to be detected based on the multiple road surface types to be constructed and the target frequency damage corresponding to each road surface type to be constructed.
Further, the determining a plurality of road surface types to be constructed in a vehicle test field corresponding to the vehicle to be detected based on the plurality of pseudo damage values corresponding to the vehicle to be detected includes:
determining a plurality of pseudo-loss groups from a plurality of pseudo-damage values corresponding to the vehicle to be detected, wherein the pseudo-loss groups comprise at least one target pseudo-loss value and at least one reference pseudo-loss value, and the type of the road surface corresponding to each target pseudo-loss value in the pseudo-loss groups is the same as that of the road surface corresponding to each reference pseudo-loss value;
for each pseudo loss group, determining a preset loss range corresponding to each target pseudo loss value in the pseudo loss group;
if each target pseudo loss value is within a preset loss range, determining a preset reference range corresponding to each reference pseudo loss value;
and if each reference pseudo loss value is within a preset reference range, determining the road type corresponding to the target pseudo loss value as the road type to be constructed.
Further, the determining a target frequency damage corresponding to each road surface type to be constructed according to the plurality of frequency damages corresponding to the vehicle to be detected includes:
determining a real frequency value of a road surface type corresponding to each road surface type to be constructed;
and determining the target frequency damage of the road surface type to be constructed based on the real frequency value and the corresponding frequency damage of the vehicle to be detected under the road surface type to be constructed.
The embodiment of the present application further provides a device for constructing a vehicle test field, the device for constructing includes:
the determining module is used for determining a plurality of detection position points of the vehicle to be detected based on the acquired parameter information of the vehicle to be detected;
the acquisition module is used for acquiring working condition data corresponding to each detection position point under different road surface types;
the calculation module is used for calculating a pseudo damage value corresponding to the vehicle to be detected at each detection position point under each road surface type and a frequency damage corresponding to the vehicle to be detected under each road surface type based on the obtained working condition data;
and the building module is used for building a vehicle test field corresponding to the vehicle to be detected according to the plurality of pseudo damage values and the plurality of frequency damages corresponding to the vehicle to be detected.
Further, when the determining module is configured to determine the plurality of detection position points of the vehicle to be detected based on the acquired parameter information of the vehicle to be detected, the determining module is configured to:
determining a to-be-detected area of a to-be-detected vehicle based on the acquired parameter information of the to-be-detected vehicle;
and determining a plurality of position points to be detected from the area to be detected.
Further, the calculation module is configured to calculate a pseudo damage value corresponding to the vehicle to be detected at each detection position point under each road surface type by:
determining a preset load-life curve corresponding to the vehicle to be detected according to the area to be detected;
and determining a pseudo damage value corresponding to the vehicle to be detected at each detection position point under each road surface type through a rain flow counting algorithm based on the preset load-life curve.
Further, when the building module is configured to build a vehicle test field corresponding to the vehicle to be detected according to the plurality of pseudo damage values and the plurality of frequency damages corresponding to the vehicle to be detected, the building module is configured to:
determining a plurality of road surface types to be constructed in a vehicle test field corresponding to the vehicle to be detected based on the plurality of pseudo-damage values corresponding to the vehicle to be detected;
determining target frequency damage corresponding to each road surface type to be constructed according to the plurality of frequency damages corresponding to the vehicle to be detected;
and constructing a vehicle test field corresponding to the vehicle to be detected based on the multiple road surface types to be constructed and the target frequency damage corresponding to each road surface type to be constructed.
Further, when the building module is configured to determine a plurality of road surface types to be built in a vehicle test field corresponding to the vehicle to be detected based on the plurality of pseudo damage values corresponding to the vehicle to be detected, the building module is configured to:
determining a plurality of pseudo-loss groups from a plurality of pseudo-damage values corresponding to the vehicle to be detected, wherein the pseudo-loss groups comprise at least one target pseudo-loss value and at least one reference pseudo-loss value, and the type of the road surface corresponding to each target pseudo-loss value in the pseudo-loss groups is the same as that of the road surface corresponding to each reference pseudo-loss value;
for each pseudo loss group, determining a preset loss range corresponding to each target pseudo loss value in the pseudo loss group;
if each target pseudo loss value is within a preset loss range, determining a preset reference range corresponding to each reference pseudo loss value;
and if each reference pseudo loss value is within a preset reference range, determining the road type corresponding to the target pseudo loss value as the road type to be constructed.
Further, when the building module is configured to determine, according to the multiple frequency damages corresponding to the vehicle to be detected, a target frequency damage corresponding to each road surface type to be built, the building module is configured to:
determining a real frequency value of a road surface type corresponding to each road surface type to be constructed;
and determining the target frequency damage of the road surface type to be constructed based on the real frequency value and the corresponding frequency damage of the vehicle to be detected under the road surface type to be constructed.
An embodiment of the present application further provides an electronic device, including: a processor, a memory and a bus, the memory storing machine readable instructions executable by the processor, the processor and the memory communicating via the bus when the electronic device is running, the machine readable instructions when executed by the processor performing the steps of the method of constructing a vehicle test field as described above.
Embodiments of the present application further provide a computer-readable storage medium, on which a computer program is stored, where the computer program is executed by a processor to perform the steps of the method for constructing a vehicle test field as described above.
According to the construction method and device of the vehicle test field, the electronic device and the readable storage medium, a plurality of detection position points of the vehicle to be detected are determined based on the acquired parameter information of the vehicle to be detected; acquiring working condition data corresponding to each detection position point under different road surface types; calculating a pseudo damage value corresponding to the vehicle to be detected at each detection position point under each road surface type and a frequency damage corresponding to the vehicle to be detected under each road surface type based on the obtained working condition data; and constructing a vehicle test field corresponding to the vehicle to be detected according to the plurality of pseudo damage values corresponding to the vehicle to be detected and the plurality of frequency damages.
Therefore, the vehicle quality identification method and the vehicle quality identification device can determine a plurality of detection position points on the vehicle to be detected based on the acquired parameter information of the vehicle to be detected, acquire the working condition data of each detection position point under different road surface types, determine the pseudo damage value corresponding to the vehicle to be detected on each detection position point of the vehicle to be detected under each road surface type and the frequency damage corresponding to the vehicle to be detected under the road surface type, and establish the vehicle test field corresponding to the vehicle to be detected, so that the vehicle test field matched with the vehicle to be detected can be established according to the parameter information of each vehicle to be detected, the accuracy of the vehicle quality identification result can be improved, and the potential safety hazard when the user uses the vehicle to be detected can be reduced.
In order to make the aforementioned objects, features and advantages of the present application more comprehensible, preferred embodiments accompanied with figures are described in detail below.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings that are required to be used in the embodiments will be briefly described below, it should be understood that the following drawings only illustrate some embodiments of the present application and therefore should not be considered as limiting the scope, and for those skilled in the art, other related drawings can be obtained from the drawings without inventive effort.
FIG. 1 is a flow chart of a method for constructing a vehicle test field according to an embodiment of the present disclosure;
FIG. 2 is a flow chart of a method for constructing a vehicle test field according to another embodiment of the present disclosure;
FIG. 3 is a schematic structural diagram of a vehicle test field construction device provided in an embodiment of the present application;
fig. 4 is a schematic structural diagram of an electronic device according to an embodiment of the present application.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present application clearer, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only a part of the embodiments of the present application, and not all the embodiments. The components of the embodiments of the present application, generally described and illustrated in the figures herein, can be arranged and designed in a wide variety of different configurations. Thus, the following detailed description of the embodiments of the present application, presented in the accompanying drawings, is not intended to limit the scope of the claimed application, but is merely representative of selected embodiments of the application. Every other embodiment that can be obtained by a person skilled in the art without making creative efforts based on the embodiments of the present application falls within the protection scope of the present application.
First, an application scenario to which the present application is applicable will be described. The method can be applied to the technical field of vehicle development, obtains the parameter information of the vehicle to be detected before the quality of the vehicle to be detected is identified, determining a plurality of detection position points on the vehicle to be detected according to the parameter information of the vehicle to be detected, acquiring working condition data corresponding to each detection position point under different road surface types, calculating a pseudo damage value corresponding to the vehicle to be detected on each detection position point under each road surface type and a frequency damage corresponding to the vehicle to be detected under each road surface type based on the acquired working condition data, and then a vehicle test field corresponding to the vehicle to be detected is constructed, so that the vehicle test field matched with the vehicle to be detected can be constructed according to the parameter information of each vehicle to be detected, the accuracy of the vehicle quality identification result is improved, and the potential safety hazard of a user when the user uses the vehicle to be detected can be reduced.
Research shows that, at present, existing vehicle test fields are substantially the same, and in the vehicle detection process, detection personnel detect vehicles of different models in the same vehicle test field according to the same detection standard, but for vehicles of different models, if the same vehicle test field is used for vehicle detection, deviation exists between the detection result and the real driving process of the vehicle, so that the detection result is inaccurate, the road condition analysis of the actual driving road is inaccurate, the vehicle configuration setting is unreasonable, and further, potential safety hazards exist in the vehicle using process of users.
Based on this, the embodiment of the application provides a method for constructing a vehicle test field, which can determine a plurality of detection position points of a vehicle to be detected according to parameter information of the vehicle to be detected, and construct the vehicle test field corresponding to the vehicle to be detected according to a pseudo damage value of the vehicle to be detected on each detection position point under different road surface types and frequency damage corresponding to the vehicle to be detected under each road surface type, so that the corresponding vehicle test field can be constructed for different vehicles to be detected, and the accuracy of vehicle identification results is improved.
Referring to fig. 1, fig. 1 is a flowchart illustrating a method for constructing a vehicle test field according to an embodiment of the present disclosure. As shown in fig. 1, a method for constructing a vehicle test field provided in an embodiment of the present application includes:
s101, determining a plurality of detection position points of the vehicle to be detected based on the acquired parameter information of the vehicle to be detected.
In this step, because the material or the model of the vehicle to be detected is different, the position of the detection position point on each vehicle to be detected is different, and in order to determine a plurality of detection position points on each vehicle to be detected, the parameter information of the vehicle to be detected needs to be acquired, so that a plurality of detection position points on the vehicle to be detected are determined according to the acquired parameter information.
Here, for the vehicles to be detected of different models, the weak position on each vehicle to be detected is different, and therefore, in order to more accurately identify the quality of the vehicle to be detected, a plurality of detection position points corresponding to each vehicle to be detected need to be determined for different vehicles to be detected, so as to be used for identifying the quality of the vehicle to be detected.
And S102, acquiring working condition data corresponding to each detection position point under different road surface types.
In the step, when the running road surfaces of the vehicles to be detected are different, the working condition data corresponding to each detection position point of the vehicles to be detected are also different, and the working condition data corresponding to each detection position point of the vehicles to be detected under different road surface types are respectively obtained, wherein the working condition data comprise vehicle information such as six component force of the vehicles, shaft head acceleration, suspension displacement, cab displacement and typical cantilever part acceleration.
The six-component force and the axle head acceleration of the vehicle to be detected can be acquired through sensors such as a six-component force sensor, an axle head acceleration sensor, a displacement sensor and a strain gauge sensor which are arranged at each detection position of the vehicle to be detected.
The pavement types can include highways, national roads, country roads, potholes, cement pavement A, cement pavement B, pebbles, washboards with angles, straight washboards and the like, wherein the highways, the national roads and the country roads can be divided into typical social pavements, and the potholes, the cement pavement A, the cement pavement B, the pebbles, the washboards with angles, the straight washboards and the like can be divided into reinforced pavements.
Therefore, the quality and quality of the vehicle to be detected can be identified according to different road surface types, and the identification result of the vehicle to be detected is more comprehensive and more accurate.
S103, calculating a pseudo damage value corresponding to the vehicle to be detected at each detection position point under each road surface type and a frequency damage corresponding to the vehicle to be detected under each road surface type based on the obtained plurality of working condition data.
In this step, for each road surface type, a pseudo loss value corresponding to a vehicle to be detected at each detection position point of the vehicle to be detected under the road surface type and a frequency damage corresponding to the vehicle to be detected under the road surface type are calculated based on the operating condition data acquired at each detection position point of the vehicle to be detected under the road surface type.
Specifically, the calculation of the frequency damage corresponding to the vehicle to be detected can be realized through software ncode, Tacware and the like.
If the road surface type (taking the road surface type A as an example) without the collected working condition data exists, and the road surface type is similar to the road surface type B with the collected working condition data, the corresponding working condition data of the vehicle to be detected on each detection position point under the road surface type A can be calculated through the working condition data of the road surface type B, or the corresponding pseudo loss value of the vehicle to be detected on each detection position point under the road surface type A can be directly calculated.
S104, building a vehicle test field corresponding to the vehicle to be detected according to the plurality of pseudo damage values and the plurality of frequency damages corresponding to the vehicle to be detected.
In the step, the road type with large influence on the vehicle to be detected is determined according to the calculated multiple pseudo-damage values corresponding to the vehicle to be detected, the frequency damage due to the road type with large influence on the vehicle to be detected is determined according to the multiple frequency damages, and then the vehicle test field corresponding to the vehicle to be detected is constructed.
In addition, the constructed vehicle test field can be used for other vehicles to be detected with the same type as the vehicle to be detected, and can also be other vehicles to be detected with the same type as the vehicle to be detected, for example, the vehicle to be detected is a vehicle with the 'brand a' Y1 type ', and after the vehicle test field corresponding to the' brand a 'Y1 type vehicle' is constructed, the vehicle test field can be used for detecting other 'brand a' Y1 type 'vehicles, and can also be used for detecting other' brand a 'vehicles, for example, a' brand a 'Y2 type' vehicle, wherein the 'brand a' Y1 type 'can be a' tractor ', and the' brand a 'Y2 type' can be a 'truck', etc.
According to the construction method of the vehicle test field, a plurality of detection position points of a vehicle to be detected are determined based on the acquired parameter information of the vehicle to be detected; acquiring working condition data corresponding to each detection position point under different road surface types; calculating a pseudo damage value corresponding to the vehicle to be detected at each detection position point under each road surface type and a frequency damage corresponding to the vehicle to be detected under each road surface type based on the obtained working condition data; and constructing a vehicle test field corresponding to the vehicle to be detected according to the plurality of pseudo damage values corresponding to the vehicle to be detected and the plurality of frequency damages.
Therefore, according to the vehicle quality identification method and device, the plurality of detection position points on the vehicle to be detected can be determined according to the acquired parameter information of the vehicle to be detected, the working condition data of each detection position point under different road surface types can be acquired, the pseudo damage value corresponding to the vehicle to be detected on each detection position point of the vehicle to be detected under each road surface type and the frequency damage corresponding to the vehicle to be detected under the road surface type can be determined, the vehicle test field corresponding to the vehicle to be detected can be established, the vehicle test field matched with the vehicle to be detected can be established according to the parameter information of each vehicle to be detected, the accuracy of the vehicle quality identification result can be improved, and the potential safety hazard when the user uses the vehicle to be detected can be reduced.
Referring to fig. 2, fig. 2 is a flowchart of a method for constructing a vehicle test field according to another embodiment of the present application. As shown in fig. 2, a method for constructing a vehicle test field provided in an embodiment of the present application includes:
s201, determining a plurality of detection position points of the vehicle to be detected based on the acquired parameter information of the vehicle to be detected.
S202, acquiring working condition data corresponding to each detection position point under different road surface types.
S203, calculating a pseudo damage value corresponding to the vehicle to be detected at each detection position point under each road surface type and a frequency damage corresponding to the vehicle to be detected under each road surface type based on the acquired plurality of working condition data.
The descriptions of S201 to S203 may refer to the descriptions of S101 to S103, and the same technical effects can be achieved, which are not described in detail.
S204, determining a plurality of road surface types to be constructed in a vehicle test field corresponding to the vehicle to be detected based on the plurality of pseudo-damage values corresponding to the vehicle to be detected.
In the step, according to the calculated multiple pseudo-damage values of the vehicle to be detected under different road types, multiple road types having large influence on the vehicle to be detected are determined, namely multiple road types which need to be tested when the quality of the vehicle to be detected is identified are determined, and the multiple road types having large influence on the vehicle to be detected are determined as multiple road types to be constructed in a vehicle test field corresponding to the vehicle to be detected.
S205, determining target frequency damage corresponding to each road surface type to be constructed according to the frequency damages corresponding to the vehicles to be detected.
In the step, the target frequency damage of each road surface type to be constructed in the vehicle test field corresponding to the vehicle to be detected is determined according to the calculated multiple frequency damages of the vehicle to be detected under different road surface types.
S206, building a vehicle test field corresponding to the vehicle to be detected based on the multiple road surface types to be built and the target frequency damage corresponding to each road surface type to be built.
In the step, a vehicle test field corresponding to the vehicle to be detected is constructed according to the determined vehicle test field corresponding to the vehicle to be detected, which should include a plurality of road types to be constructed and the target frequency damage corresponding to each road type to be constructed.
Further, step S201 includes: determining a to-be-detected area of a to-be-detected vehicle based on the acquired parameter information of the to-be-detected vehicle; and determining a plurality of position points to be detected from the area to be detected.
In the step, parameter information of the vehicle to be detected is obtained, the area to be detected of the vehicle to be detected is determined according to the parameter information of the vehicle to be detected, and then a plurality of position points to be detected are determined from the determined area to be detected.
For a vehicle to be detected, the quality of the vehicle to be detected can be truly reflected by the region to be detected, so that the region to be detected can be a weak position of the vehicle to be detected, the weak position can reflect the quality of the vehicle most, and if the weak position can withstand inspection, the vehicle to be detected can be safely used by a user; at this time, the detection position point is located at the weak position of the vehicle to be detected.
Illustratively, the area to be detected is a vehicle frame as an example, the detection position points can be the upper side or the lower side of the upper wing surface of the vehicle frame, the front cross beam is backward, the variable cross section stopping position is about 150mm away from the foremost end of the vehicle frame (the specific number is determined according to the vehicle), the detection position points are aligned and parallel with the edge of the vehicle frame as far as possible, and the detection position points are two left and right; the measuring device can also be an upper wing surface of the frame, the upper side or the lower side, the front end of the second cross beam, the measuring device is aligned and parallel with the edge of the frame as much as possible, and the measuring device has two measuring points on the left and the right, and the like.
Further, calculating a pseudo damage value corresponding to the vehicle to be detected at each detection position point under each road surface type through the following steps: determining a preset load-life curve corresponding to the vehicle to be detected according to the area to be detected; and determining a pseudo damage value corresponding to the vehicle to be detected at each detection position point under each road surface type through a rain flow counting algorithm based on the preset load-life curve.
In the step, before calculating a pseudo damage value corresponding to a vehicle to be detected at each detection position point under each road surface type, determining a preset load-life curve corresponding to the vehicle to be detected according to the material of a region to be detected of the vehicle to be detected; and calculating a corresponding pseudo damage value of the vehicle to be detected on each detection position point under the road surface type through a rain flow counting algorithm based on the preset load-life curve, so as to determine a plurality of pseudo damage values corresponding to the vehicle to be detected.
The rain flow counting algorithm is a core algorithm of rain flow analysis, and is used for simplifying the calculation process of the load spectrum into a plurality of sub-load cycles for calculating the fatigue life of the vehicle to be detected. The purpose here is to calculate a pseudo damage value of a vehicle to be detected, specifically, a preset load-life curve corresponding to the vehicle to be detected is determined according to the geometric characteristics of the material of the region to be detected (for example, the region to be detected is a "frame", and here, the material of the "frame" is needed), and then a corresponding pseudo damage value of the vehicle to be detected at each detection position point under the road surface type is calculated through the preset load-life curve.
Further, step S204 includes: determining a plurality of pseudo-loss groups from a plurality of pseudo-damage values corresponding to the vehicle to be detected, wherein the pseudo-loss groups comprise at least one target pseudo-loss value and at least one reference pseudo-loss value, and the type of the road surface corresponding to each target pseudo-loss value in the pseudo-loss groups is the same as that of the road surface corresponding to each reference pseudo-loss value; for each pseudo loss group, determining a preset loss range corresponding to each target pseudo loss value in the pseudo loss group; if each target pseudo loss value is within a preset loss range, determining a preset reference range corresponding to each reference pseudo loss value; and if each reference pseudo loss value is within a preset reference range, determining the road type corresponding to the target pseudo loss value as the road type to be constructed.
In the step, a plurality of pseudo loss groups are determined from a plurality of pseudo damage values of a vehicle to be detected, wherein each pseudo loss group comprises at least one target pseudo loss value and at least one reference pseudo loss value, the road surface type corresponding to each target pseudo loss value in each pseudo loss group is the same, the road surface type corresponding to each reference pseudo loss value is the same, and the target pseudo loss value is the same as the road surface type corresponding to the reference pseudo loss value.
And determining a preset loss range corresponding to each target pseudo loss value in each pseudo loss group, then determining whether each target pseudo loss value is located in the preset loss range, if so, determining a preset reference range corresponding to each reference pseudo loss value, and if so, determining the road surface type corresponding to the target pseudo loss value in the pseudo loss group as the road surface type to be constructed.
Therefore, the influence of each road surface type on the vehicle to be detected can be pertinently considered according to the target pseudo loss value and the reference pseudo loss value, and the accuracy of the identification result of the vehicle to be detected can be improved.
Further, step S205 includes: determining a real frequency value of a road surface type corresponding to each road surface type to be constructed; and determining the target frequency damage of the road surface type to be constructed based on the real frequency value and the corresponding frequency damage of the vehicle to be detected under the road surface type to be constructed.
In the step, for each road surface type to be constructed, firstly, the real frequency value of the road surface type corresponding to the road surface type to be constructed is determined, and the target frequency damage corresponding to the road surface type to be constructed is determined based on the determined real frequency value and the calculated frequency damage of the road surface type corresponding to the road surface type to be constructed, so that the frequency damage value of the corresponding road surface type to be constructed can be set according to the target frequency damage when a vehicle test field corresponding to a vehicle to be detected is constructed.
Specifically, for a real road surface, the length of each road surface in the vehicle test field may be smaller than the length of the real road surface, and if it is desired to increase the speed of the vehicle to be detected to the speed when the vehicle is running on the real road surface in a short time, it is necessary to increase the frequency damage of the road with the same road surface type in the vehicle test field, but the too high frequency damage may cause an excessively large difference between the road surface in the vehicle test field and the real road surface, so it is necessary to determine a suitable target frequency damage corresponding to the road surface type to be constructed according to the real frequency value of the road surface type corresponding to the road surface type to be constructed and the frequency damage of the road surface type corresponding to the road surface type to be constructed, so as to construct the vehicle test field corresponding to the vehicle to be detected.
According to the construction method of the vehicle test field, a plurality of detection position points of a vehicle to be detected are determined based on the acquired parameter information of the vehicle to be detected; acquiring working condition data corresponding to each detection position point under different road surface types; calculating a pseudo damage value corresponding to the vehicle to be detected at each detection position point under each road surface type and a frequency damage corresponding to the vehicle to be detected under each road surface type based on the obtained working condition data; determining a plurality of road surface types to be constructed in a vehicle test field corresponding to the vehicle to be detected based on the plurality of pseudo-damage values corresponding to the vehicle to be detected; determining target frequency damage corresponding to each road surface type to be constructed according to the plurality of frequency damages corresponding to the vehicle to be detected; and constructing a vehicle test field corresponding to the vehicle to be detected based on the multiple road surface types to be constructed and the target frequency damage corresponding to each road surface type to be constructed.
Thus, the method and the device can determine a plurality of detection position points on the vehicle to be detected according to the acquired parameter information of the vehicle to be detected, acquire working condition data of each detection position point under different road surface types, determine a pseudo damage value corresponding to the vehicle to be detected on each detection position point under each road surface type and a frequency damage corresponding to the vehicle to be detected under the road surface type, further determine a plurality of road surface types to be constructed in a vehicle test field corresponding to the vehicle to be detected according to the plurality of pseudo damage values corresponding to the vehicle to be detected, determine a target frequency damage of each road surface type to be constructed according to the plurality of frequency damages corresponding to the vehicle to be detected, construct the vehicle test field corresponding to the vehicle to be detected based on the plurality of road surface types to be constructed and the plurality of target frequency damages, and accordingly can determine the parameter information of each vehicle to be detected, the vehicle test field matched with the vehicle to be detected is constructed, so that the accuracy of the vehicle quality identification result is improved, and the potential safety hazard when the user uses the vehicle to be detected can be reduced.
Referring to fig. 3, fig. 3 is a schematic structural diagram of a vehicle test field construction apparatus according to an embodiment of the present disclosure. As shown in fig. 3, the construction apparatus 300 includes:
the determining module 310 is configured to determine a plurality of detection position points of the vehicle to be detected based on the acquired parameter information of the vehicle to be detected;
the obtaining module 320 is configured to obtain working condition data corresponding to each detection position point under different road surface types;
the calculating module 330 is configured to calculate, based on the obtained multiple pieces of operating condition data, a pseudo damage value corresponding to the vehicle to be detected at each detection position point under each road surface type and a frequency damage corresponding to the vehicle to be detected under each road surface type;
the building module 340 is configured to build a vehicle test field corresponding to the vehicle to be detected according to the plurality of pseudo damage values and the plurality of frequency damages corresponding to the vehicle to be detected.
Further, when the determining module 310 is configured to determine a plurality of detection position points of the vehicle to be detected based on the acquired parameter information of the vehicle to be detected, the determining module 310 is configured to:
determining a to-be-detected area of a to-be-detected vehicle based on the acquired parameter information of the to-be-detected vehicle;
and determining a plurality of position points to be detected from the area to be detected.
Further, the calculating module 330 is configured to calculate a pseudo damage value corresponding to the vehicle to be detected at each detection position point under each road surface type by:
determining a preset load-life curve corresponding to the vehicle to be detected according to the area to be detected;
and determining a pseudo damage value corresponding to the vehicle to be detected at each detection position point under each road surface type through a rain flow counting algorithm based on the preset load-life curve.
Further, when the building module 340 is configured to build a vehicle test field corresponding to the vehicle to be detected according to the plurality of pseudo damage values corresponding to the vehicle to be detected and the plurality of frequency damages, the building module 340 is configured to:
determining a plurality of road surface types to be constructed in a vehicle test field corresponding to the vehicle to be detected based on the plurality of pseudo-damage values corresponding to the vehicle to be detected;
determining target frequency damage corresponding to each road surface type to be constructed according to the plurality of frequency damages corresponding to the vehicle to be detected;
and constructing a vehicle test field corresponding to the vehicle to be detected based on the multiple road surface types to be constructed and the target frequency damage corresponding to each road surface type to be constructed.
Further, when the building module 340 is configured to determine a plurality of road surface types to be built in a vehicle test field corresponding to the vehicle to be detected based on a plurality of pseudo damage values corresponding to the vehicle to be detected, the building module 340 is configured to:
determining a plurality of pseudo-loss groups from a plurality of pseudo-damage values corresponding to the vehicle to be detected, wherein the pseudo-loss groups comprise at least one target pseudo-loss value and at least one reference pseudo-loss value, and the type of the road surface corresponding to each target pseudo-loss value in the pseudo-loss groups is the same as that of the road surface corresponding to each reference pseudo-loss value;
for each pseudo loss group, determining a preset loss range corresponding to each target pseudo loss value in the pseudo loss group;
if each target pseudo loss value is within a preset loss range, determining a preset reference range corresponding to each reference pseudo loss value;
and if each reference pseudo loss value is within a preset reference range, determining the road type corresponding to the target pseudo loss value as the road type to be constructed.
Further, when the building module 340 is configured to determine, according to a plurality of frequency damages corresponding to the vehicles to be detected, a target frequency damage corresponding to each road surface type to be built, the building module 340 is configured to:
determining a real frequency value of a road surface type corresponding to each road surface type to be constructed;
and determining the target frequency damage of the road surface type to be constructed based on the real frequency value and the corresponding frequency damage of the vehicle to be detected under the road surface type to be constructed.
The vehicle test field construction device provided by the embodiment of the application determines a plurality of detection position points of the vehicle to be detected based on the acquired parameter information of the vehicle to be detected; acquiring working condition data corresponding to each detection position point under different road surface types; calculating a pseudo damage value corresponding to the vehicle to be detected at each detection position point under each road surface type and a frequency damage corresponding to the vehicle to be detected under each road surface type based on the obtained working condition data; and constructing a vehicle test field corresponding to the vehicle to be detected according to the plurality of pseudo damage values corresponding to the vehicle to be detected and the plurality of frequency damages.
Therefore, according to the vehicle quality identification method and device, the plurality of detection position points on the vehicle to be detected can be determined according to the acquired parameter information of the vehicle to be detected, the working condition data of each detection position point under different road surface types can be acquired, the pseudo damage value corresponding to the vehicle to be detected on each detection position point of the vehicle to be detected under each road surface type and the frequency damage corresponding to the vehicle to be detected under the road surface type can be determined, the vehicle test field corresponding to the vehicle to be detected can be established, the vehicle test field matched with the vehicle to be detected can be established according to the parameter information of each vehicle to be detected, the accuracy of the vehicle quality identification result can be improved, and the potential safety hazard when the user uses the vehicle to be detected can be reduced.
Referring to fig. 4, fig. 4 is a schematic structural diagram of an electronic device according to an embodiment of the present disclosure. As shown in fig. 4, the electronic device 400 includes a processor 410, a memory 420, and a bus 430.
The memory 420 stores machine-readable instructions executable by the processor 410, when the electronic device 400 runs, the processor 410 communicates with the memory 420 through the bus 430, and when the machine-readable instructions are executed by the processor 410, the steps of the method for constructing the vehicle test field in the embodiment of the method shown in fig. 1 and fig. 2 may be executed.
An embodiment of the present application further provides a computer-readable storage medium, where a computer program is stored on the computer-readable storage medium, and when the computer program is executed by a processor, the steps of the method for constructing a vehicle test field in the method embodiments shown in fig. 1 and fig. 2 may be executed.
It is clear to those skilled in the art that, for convenience and brevity of description, the specific working processes of the above-described systems, apparatuses and units may refer to the corresponding processes in the foregoing method embodiments, and are not described herein again.
In the several embodiments provided in the present application, it should be understood that the disclosed system, apparatus and method may be implemented in other ways. The above-described embodiments of the apparatus are merely illustrative, and for example, the division of the units is only one logical division, and there may be other divisions when actually implemented, and for example, a plurality of units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection of devices or units through some communication interfaces, and may be in an electrical, mechanical or other form.
The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, functional units in the embodiments of the present application may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit.
The functions, if implemented in the form of software functional units and sold or used as a stand-alone product, may be stored in a non-volatile computer-readable storage medium executable by a processor. Based on such understanding, the technical solution of the present application or portions thereof that substantially contribute to the prior art may be embodied in the form of a software product stored in a storage medium and including instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present application. And the aforementioned storage medium includes: various media capable of storing program codes, such as a usb disk, a removable hard disk, a Read-only Memory (ROM), a Random Access Memory (RAM), a magnetic disk, or an optical disk.
Finally, it should be noted that: the above-mentioned embodiments are only specific embodiments of the present application, and are used for illustrating the technical solutions of the present application, but not limiting the same, and the scope of the present application is not limited thereto, and although the present application is described in detail with reference to the foregoing embodiments, those skilled in the art should understand that: any person skilled in the art can modify or easily conceive the technical solutions described in the foregoing embodiments or equivalent substitutes for some technical features within the technical scope disclosed in the present application; such modifications, changes or substitutions do not depart from the spirit and scope of the exemplary embodiments of the present application, and are intended to be covered by the scope of the present application. Therefore, the protection scope of the present application shall be subject to the protection scope of the claims.
Claims (10)
1. A construction method of a vehicle test field, characterized by comprising:
determining a plurality of detection position points of the vehicle to be detected based on the acquired parameter information of the vehicle to be detected;
acquiring working condition data corresponding to each detection position point under different road surface types;
calculating a pseudo damage value corresponding to the vehicle to be detected at each detection position point under each road surface type and a frequency damage corresponding to the vehicle to be detected under each road surface type based on the obtained working condition data;
and constructing a vehicle test field corresponding to the vehicle to be detected according to the plurality of pseudo damage values corresponding to the vehicle to be detected and the plurality of frequency damages.
2. The building method according to claim 1, wherein the determining a plurality of detection position points of the vehicle to be detected based on the acquired parameter information of the vehicle to be detected comprises:
determining a to-be-detected area of a to-be-detected vehicle based on the acquired parameter information of the to-be-detected vehicle;
and determining a plurality of position points to be detected from the area to be detected.
3. The building method according to claim 2, characterized in that the pseudo damage value corresponding to the vehicle to be detected at each detection position point for each road surface type is calculated by:
determining a preset load-life curve corresponding to the vehicle to be detected according to the area to be detected;
and determining a pseudo damage value corresponding to the vehicle to be detected at each detection position point under each road surface type through a rain flow counting algorithm based on the preset load-life curve.
4. The building method according to claim 1, wherein the building a vehicle test field corresponding to the vehicle to be detected according to the plurality of pseudo damage values corresponding to the vehicle to be detected and the plurality of frequency damages comprises:
determining a plurality of road surface types to be constructed in a vehicle test field corresponding to the vehicle to be detected based on the plurality of pseudo-damage values corresponding to the vehicle to be detected;
determining target frequency damage corresponding to each road surface type to be constructed according to the plurality of frequency damages corresponding to the vehicle to be detected;
and constructing a vehicle test field corresponding to the vehicle to be detected based on the multiple road surface types to be constructed and the target frequency damage corresponding to each road surface type to be constructed.
5. The construction method according to claim 4, wherein the determining a plurality of road surface types to be constructed in a vehicle test field of the vehicle corresponding to the vehicle to be detected based on a plurality of the pseudo damage values corresponding to the vehicle to be detected comprises:
determining a plurality of pseudo-loss groups from a plurality of pseudo-damage values corresponding to the vehicle to be detected, wherein the pseudo-loss groups comprise at least one target pseudo-loss value and at least one reference pseudo-loss value, and the type of the road surface corresponding to each target pseudo-loss value in the pseudo-loss groups is the same as that of the road surface corresponding to each reference pseudo-loss value;
for each pseudo loss group, determining a preset loss range corresponding to each target pseudo loss value in the pseudo loss group;
if each target pseudo loss value is within a preset loss range, determining a preset reference range corresponding to each reference pseudo loss value;
and if each reference pseudo loss value is within a preset reference range, determining the road type corresponding to the target pseudo loss value as the road type to be constructed.
6. The construction method according to claim 4, wherein the determining a target frequency damage corresponding to each road surface type to be constructed according to the plurality of frequency damages corresponding to the vehicle to be detected comprises:
determining a real frequency value of a road surface type corresponding to each road surface type to be constructed;
and determining the target frequency damage of the road surface type to be constructed based on the real frequency value and the corresponding frequency damage of the vehicle to be detected under the road surface type to be constructed.
7. A building apparatus of a vehicle test field, characterized in that the building apparatus comprises:
the determining module is used for determining a plurality of detection position points of the vehicle to be detected based on the acquired parameter information of the vehicle to be detected;
the acquisition module is used for acquiring working condition data corresponding to each detection position point under different road surface types;
the calculation module is used for calculating a pseudo damage value corresponding to the vehicle to be detected at each detection position point under each road surface type and a frequency damage corresponding to the vehicle to be detected under each road surface type based on the obtained working condition data;
and the building module is used for building a vehicle test field corresponding to the vehicle to be detected according to the plurality of pseudo damage values and the plurality of frequency damages corresponding to the vehicle to be detected.
8. The vehicle test field building device according to claim 7, wherein the building module, when being configured to build the vehicle test field corresponding to the vehicle to be detected according to the plurality of pseudo damage values corresponding to the vehicle to be detected and the plurality of frequency damages, is configured to:
determining a plurality of road surface types to be constructed in a vehicle test field corresponding to the vehicle to be detected based on the plurality of pseudo-damage values corresponding to the vehicle to be detected;
determining target frequency damage corresponding to each road surface type to be constructed according to the plurality of frequency damages corresponding to the vehicle to be detected;
and constructing a vehicle test field corresponding to the vehicle to be detected based on the multiple road surface types to be constructed and the target frequency damage corresponding to each road surface type to be constructed.
9. An electronic device, comprising: a processor, a memory and a bus, the memory storing machine-readable instructions executable by the processor, the processor and the memory communicating over the bus when the electronic device is running, the machine-readable instructions when executed by the processor performing the steps of the method of constructing a vehicle test field according to any one of claims 1 to 6.
10. A computer-readable storage medium, characterized in that a computer program is stored on the computer-readable storage medium, which computer program, when being executed by a processor, carries out the steps of the method of constructing a vehicle test field according to any one of claims 1 to 6.
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