CN111907265A

CN111907265A - Tire wear condition judgment method, device, equipment and storage medium

Info

Publication number: CN111907265A
Application number: CN202010827078.6A
Authority: CN
Inventors: 刁志程; 韩金金; 汪华健
Original assignee: iFlytek Co Ltd
Current assignee: iFlytek Co Ltd
Priority date: 2020-08-17
Filing date: 2020-08-17
Publication date: 2020-11-10
Anticipated expiration: 2040-08-17
Also published as: CN111907265B

Abstract

The application provides a tire wear condition judgment method, a tire wear condition judgment device, tire wear condition judgment equipment and a storage medium, wherein the method comprises the following steps: acquiring a target route, wherein the target route is a route planned or driven by a user; determining the travel information of the target travel, wherein the travel information at least comprises road surface conditions, the mileage of the target travel and a driving environment; and judging the tire wear condition of the target vehicle after the target vehicle passes through the target travel at least according to the travel information. The method realizes automatic judgment of the tire wear condition, is applied to an actual driving scene, and can be convenient for a user to know the tire wear condition in time in the daily driving process.

Description

Tire wear condition judgment method, device, equipment and storage medium

Technical Field

The present disclosure relates to the field of data processing technologies, and in particular, to a method, an apparatus, a device, and a storage medium for determining a tire wear condition.

Background

In the running process of the vehicle, certain degree of abrasion is inevitably caused to the tires of the vehicle, and when the road surface is different or the driving conditions are different, the degree of abrasion to the tires is also different. In the daily life of a user driving a vehicle, the wear condition of the tire should be known in time so as to replace the tire in time and prevent traffic accidents caused by tire faults.

However, most users often do not know the characteristics of the tire or have poor driving experience, and therefore cannot accurately judge the wear of the tire.

Disclosure of Invention

Based on the current situation, the application provides a tire wear condition judgment method, a tire wear condition judgment device, tire wear condition judgment equipment and a storage medium, and tire wear conditions can be automatically judged.

In order to achieve the above purpose, the present application specifically proposes the following technical solutions:

a tire wear condition judgment method comprising:

acquiring a target route, wherein the target route is a route planned or driven by a user;

determining the travel information of the target travel, wherein the travel information at least comprises road surface conditions, the mileage of the target travel and a driving environment;

and judging the tire wear condition of the target vehicle after the target vehicle passes through the target travel at least according to the travel information.

Optionally, the number of the target trips is multiple, and the departure place and the destination of each target trip are the same;

the step of judging the tire wear condition of the target vehicle after the target travel at least according to the travel information comprises the following steps:

and respectively judging the tire wear condition of the target vehicle after passing through each target stroke at least according to the stroke information of each target stroke.

Optionally, the method further includes:

and according to the tire wear condition of the target vehicle after each target stroke, determining a target stroke with the minimum tire wear degree of the target vehicle from a plurality of target strokes as a preferred target stroke.

Optionally, the determining, at least according to the travel information, a tire wear condition of the target vehicle after the target travel includes:

determining a road surface friction coefficient according to the road surface condition and the driving environment;

and calculating and determining the tire wear condition of the target vehicle after the target travel according to at least the road surface friction coefficient and the mileage of the target travel.

Optionally, the target stroke comprises a plurality of sub-strokes with different road surface conditions;

then, the determining a road surface friction coefficient according to the road surface condition information and the driving environment information includes:

respectively determining the road surface friction coefficient of each sub-stroke according to the road surface condition of each sub-stroke and the running environment of the target vehicle when passing through each sub-stroke;

the step of calculating and determining the tire wear condition of the target vehicle after the target travel according to at least the road surface friction coefficient and the mileage of the target travel comprises the following steps:

respectively calculating and determining the tire wear condition of the target vehicle after each sub-stroke according to at least the road surface friction coefficient of each sub-stroke and the driving mileage of the target vehicle in each sub-stroke;

and determining the tire wear condition of the target vehicle after the target vehicle passes through the target stroke according to the tire wear condition of the target vehicle after the target vehicle passes through each sub-stroke.

Optionally, the method further includes:

acquiring vehicle condition information of a target vehicle when the target vehicle starts the target travel, wherein the vehicle condition information at least comprises vehicle load, tire wear degree, tire pressure and wheel maintenance record;

then, the determining, at least according to the travel information, the tire wear condition of the target vehicle after the target travel includes:

and judging the tire wear condition of the target vehicle after the target vehicle passes through the target travel at least according to the vehicle condition information and the travel information.

Optionally, the method further includes:

acquiring running condition information of a target vehicle in the process of the target travel, wherein the running condition information at least comprises a running uniform speed, a braking frequency and emergency braking times;

then, the determining the tire wear condition of the target vehicle after the target trip according to at least the vehicle condition information and the trip information includes:

and judging the tire wear condition of the target vehicle after the target travel according to the running condition information, the travel information and the vehicle condition information.

Optionally, the determining, according to the driving condition information, the trip information, and the vehicle condition information, a tire wear condition of the target vehicle after passing through the target trip includes:

and calculating and determining the tire wear condition of the target vehicle after the target travel according to the road surface friction coefficient, the vehicle condition information, the driving condition information and the driving mileage.

Optionally, the vehicle condition information further includes tire parameter information;

the method further comprises the following steps:

and inquiring and determining the authenticity of the tire of the target vehicle according to the tire parameter information, and outputting an inquiry result.

Optionally, the method further includes:

and outputting driving suggestions corresponding to the target vehicle according to the tire wear condition of the target vehicle after the target vehicle passes through the target stroke.

A tire wear condition determination device comprising:

the data acquisition unit is used for acquiring a target travel, wherein the target travel is a route planned or driven by a user;

an information determining unit, configured to determine travel information of the target travel, where the travel information at least includes a road surface condition, a mileage of the target travel, and a driving environment;

and the judgment processing unit is used for judging the tire wear condition of the target vehicle after the target vehicle passes through the target travel at least according to the travel information.

A tire wear condition determining apparatus comprising:

a memory and a processor;

wherein the memory is connected with the processor and used for storing programs;

the processor is used for realizing the tire wear condition judgment method by running the program in the memory.

A storage medium having stored thereon a computer program which, when executed by a processor, implements the above-described tire wear condition determination method.

The tire wear condition judgment method provided by the application can judge the tire wear condition of the target vehicle after the target vehicle passes through the target stroke based on the acquired stroke information of the target stroke. The method realizes automatic judgment of the tire wear condition, is applied to an actual driving scene, and can be convenient for a user to know the tire wear condition in time in the daily driving process.

Drawings

In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings needed to be used in the description of the embodiments or the prior art will be briefly introduced below, it is obvious that the drawings in the following description are only embodiments of the present application, and for those skilled in the art, other drawings can be obtained according to the provided drawings without creative efforts.

FIG. 1 is a schematic flow chart of a method for determining a tire wear condition according to an embodiment of the present disclosure;

FIG. 2 is a schematic flow chart of another method for determining tire wear according to an embodiment of the present disclosure;

FIG. 3 is a schematic structural diagram of a tire wear condition determining device according to an embodiment of the present application;

fig. 4 is a schematic structural diagram of a tire wear condition determining apparatus according to an embodiment of the present application.

Detailed Description

The technical scheme of the embodiment of the application is suitable for judging the application scene of the vehicle tire wear condition, and by adopting the technical scheme of the embodiment of the application, the wear condition of the vehicle tire on each travel can be comprehensively judged by combining the data related to each travel, such as travel mileage, road surface condition, driving condition, vehicle condition and the like, so that a user can timely know the tire wear condition in the daily process of driving the vehicle.

For example, the technical solution of the present application may be applied to hardware devices such as a hardware processor, or packaged into a software program to be executed, and when the hardware processor executes the processing procedure of the technical solution of the present application, or the software program is executed, the automatic determination of the tire wear condition may be implemented. The embodiment of the present application only introduces the specific processing procedure of the technical scheme of the present application by way of example, and does not limit the specific execution form of the technical scheme of the present application, and any technical implementation form that can execute the processing procedure of the technical scheme of the present application may be adopted by the embodiment of the present application.

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 of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.

The embodiment of the application provides a tire wear condition judgment method, which can be exemplarily applied to a vehicle-mounted system, for example, an application program running on the vehicle-mounted system, or can also be applied to an intelligent terminal device, for example, a smart phone, an intelligent automobile data recorder, and the like. In a preferred implementation, the tire wear determination method described above is applied to an in-vehicle input method in the embodiments of the present application. The vehicle-mounted input method is an input method which is loaded on a vehicle-mounted system and used for inputting information to the vehicle-mounted system by a user.

The function of the vehicle-mounted input method is similar to that of the input method on the intelligent terminal, and the vehicle-mounted input method can be used for inputting information to any program needing information input in the vehicle-mounted system. Based on the compatibility of the vehicle-mounted input method to each application program on the vehicle-mounted system, the vehicle-mounted input method can realize data interaction with each application program of the vehicle-mounted system, so that the vehicle-mounted input method can read required data from each function program of the vehicle-mounted system under the permission of a user and is used for judging the tire wear condition.

It can be understood that the tire wear condition determination method provided in the embodiment of the present application is applied to the vehicle-mounted input method, and is only one implementation manner of the tire wear condition determination method provided in the embodiment of the present application. In practical applications, the tire wear condition determination method provided in the embodiment of the present application may be applied to any application program, or may also be operated in an intelligent terminal device such as a smart phone as an independent application program. When the method is applied to other applications or is operated as an independent application in an intelligent terminal, the specific processing procedure of the method can be executed by referring to the description of the embodiment of the application.

Referring to fig. 1, a method for determining a tire wear condition according to an embodiment of the present application includes:

s101, obtaining a target travel, wherein the target travel is a route planned or driven by a user.

The tire wear condition determination method provided by the embodiment of the application aims to respectively determine the tire wear condition of a target vehicle after the target vehicle passes through a stroke for each stroke.

Then, first, a target trip, i.e., a trip from the departure point to the destination, is acquired.

The target trip may be a driving route planned in advance by the user before driving the vehicle, for example, when the user drives the vehicle from the a place to the B place, the driving route may be planned in advance, for example, the driving route is selected by navigation in a vehicle navigation system, and the vehicle-mounted input method may read the driving route planned by the user from the vehicle navigation system, that is, the target trip is obtained.

The target trip may also be a route that the user has traveled. For example, when the user drives from the place a to the place B, the vehicle-mounted input method may read the driving route data from the driving record data of the vehicle-mounted system as the target trip.

Alternatively, the target trip may be a trip that any target vehicle passes through during a certain travel, which is input by the user.

S102, determining the travel information of the target travel, wherein the travel information at least comprises the road surface condition, the mileage of the target travel and the driving environment.

Specifically, after the target trip is obtained, the embodiment of the present application determines the road surface condition and the mileage of the target trip, and the driving environment of the target vehicle during driving in the target trip.

The above-mentioned road conditions include road materials (such as cement road, asphalt road, gravel road, dirt road, etc.), road conditions (such as icing, drying, moisture, water accumulation, etc.), etc.

The driving environment refers to a natural environment condition of the target vehicle when the target vehicle is traveling in the target trip, and may specifically include an environment condition such as air temperature, air pressure, air humidity, weather, and wind speed.

It will be appreciated that different roads will wear tires to a different extent for the same mileage, for example, a vehicle will wear 10 kilometers on a concrete road and wear the tires of a vehicle more severely when running 10 kilometers on a gravel road than when running 10 kilometers on a gravel road.

Meanwhile, when the running environments are different, the degree of wear caused to the tires is different even on the same road surface. For example, at higher temperatures, the asphalt road surface is relatively soft, which results in a relatively high coefficient of friction and therefore greater wear on the tire, and at lower temperatures, the asphalt road surface is relatively hard, which results in a relatively low coefficient of friction and therefore relatively less wear on the tire.

In addition, the longer the mileage of the target trip, the more severe the wear of the tire after the target vehicle passes through the target trip, and conversely, the shorter the mileage of the target trip, the relatively less wear of the tire after the target vehicle passes through the target trip.

Therefore, according to the various items of journey information of the target journey, the degree of abrasion of the target vehicle on the tires of the target vehicle after the target vehicle passes through the target journey can be determined.

For example, when the target trip is the planned driving route of the user, the user may not drive the target vehicle to complete the target trip, and the trip information may be obtained through road network data, weather forecast data, and the like. For example, the road surface condition of the route passed by the target travel and the mileage of the target travel are acquired from the road network data; and predicting the running time of the target vehicle on each road section of the target travel, and acquiring corresponding environment information from the weather forecast data based on the time information and the geographic position of each road section.

On the other hand, the embodiment of the application sets that in the running process of the target vehicle, the road condition and the running environment information in the running process are collected and stored in real time through the vehicle-mounted camera and the vehicle-mounted sensor.

And acquiring the road condition and the running environment information which are acquired in real time in the target travel process based on the road condition and the running environment information in real time, and when the target travel is the route which is already traveled by the user, acquiring the road condition and the running environment information which are acquired in real time in the target travel process after the user drives the target vehicle to finish the target travel, and determining the travel information of the target travel.

And S103, judging the tire wear condition of the target vehicle after the target vehicle passes through the target travel at least according to the travel information.

Specifically, as described above, when the road surface condition and the running environment change, the degree of wear of the tire during running of the target vehicle changes. Meanwhile, the length of the target vehicle mileage also causes the degree of tire wear to change.

Therefore, by combining the pieces of information included in the trip information, the tire wear of the target vehicle after the target trip can be determined.

The tire wear condition can be the wear of the tire caused by the one-way stroke of the target vehicle passing through the target stroke; it may be a total wear level of the tire of the target vehicle after the target vehicle passes through the target course, and the total wear level needs to be determined in advance in a case where the wear level of the tire of the target vehicle before the target vehicle passes through the target course is determined.

For example, assuming that the tire of the target vehicle is worn by 10% before starting the target trip, and according to the technical solution of the embodiment of the present application, it can be determined that the tire is worn by 2% after the target vehicle passes through the target trip, it can be determined that the degree of tire wear reaches 12% after the target vehicle passes through the target trip.

As can be seen from the above description, the tire wear condition determination method provided in the embodiment of the present application can determine the tire wear condition of the target vehicle after the target trip based on the acquired trip information of the target trip. The method realizes automatic judgment of the tire wear condition, is applied to an actual driving scene, and can be convenient for a user to know the tire wear condition in time in the daily driving process.

As an exemplary implementation manner, when the above-mentioned target trip is a trip planned by the user, the number of the target trip may be plural, and the departure place and the destination of each target trip are the same. For example, when the user plans to go from place a to place B, before the user goes out, the navigation software may be used for route navigation, and at this time, the navigation software may generate a plurality of alternative routes, each alternative route corresponding to one target trip.

In the embodiments of the present application, when determining the tire wear of the target vehicle after the target vehicle passes through the target trips, the tire wear of the target vehicle after each target trip is determined according to at least the trip information of each target trip.

That is, for each of the plurality of target trips, the tire wear of the target vehicle after the target trip is determined based on the trip information of the target trip.

Then, through the above processing, the tire wear of the target vehicle after each of the above target strokes can be determined separately.

Further, for the plurality of target trips, after the tire wear condition of the target vehicle after each target trip is determined separately according to the above description, the embodiment of the present application may further select a target trip with the minimum tire wear degree for the target vehicle from the plurality of target trips as a preferred target trip, and recommend the preferred target trip to the user.

The target travel with the minimum tire wear degree for the target vehicle is the target travel with the minimum tire wear degree after the target vehicle passes through.

For example, after a user plans a plurality of routes from a place A to a place B through navigation software, the embodiment of the application calculates the wear condition of the vehicle tires after the user passes through each route respectively, and then selects the route with the minimum wear of the vehicle tires from the plurality of routes as a preferred route to be recommended to the user based on the wear condition of the vehicle tires after the user passes through each route. So that the user can select the optimal travel route by reference.

As an alternative implementation manner, referring to fig. 2, the above-mentioned determining the tire wear condition of the target vehicle after the target trip is performed at least according to the trip information may be specifically implemented by performing the following processing steps S203 to S204:

and S203, determining the road surface friction coefficient according to the road surface condition and the running environment.

Specifically, the road surface friction coefficient mentioned above refers to a friction coefficient formed between a tire and a road surface.

In general, each road surface has a theoretical coefficient of friction, i.e., the road surface has a theoretical coefficient of friction. The theoretical friction coefficients of different pavements are different, for example, the theoretical friction coefficients of a cement pavement and an asphalt pavement are different under the same environment. Furthermore, the theoretical coefficient of friction of the same road surface may also vary in different circumstances, for example, asphalt roads have a relatively high coefficient of friction in summer due to higher temperatures, and a relatively high coefficient of friction in winter due to lower temperatures, and have a relatively low coefficient of friction in winter due to harder roads.

Therefore, the theoretical friction coefficient of different road surfaces shows variability under different environments.

Generally, the following roads may be driven in daily driving:

asphalt pavement, cement concrete pavement, gravel pavement, pebble pavement, mud pavement, sand pavement and the like.

Moreover, the above-mentioned road surface may form a road surface in different states in an actual environment, such as a dry road surface, a wet road surface, a ponding road surface, an icy road surface, a flat road surface, a pothole road surface, a snow-covered road surface, and the like.

Summarizing various road surfaces and road surface states, it can be determined that common road surface conditions mainly include:

good asphalt pavement, good cement concrete pavement, gravel pavement, good pebble pavement, dimpled pebble pavement, compacted and dried dirt pavement, rainy dirt pavement, dry sand pavement, wet sand pavement, frozen pavement, snow pavement, iced pavement, waded pavement, and the like.

And when the road conditions are different and/or the driving environment is different when the road is driven to a certain road, the theoretical friction coefficient of the road is variable.

For example, for a good asphalt pavement (such as a highway), the temperature is high in summer, the air pressure is low, the asphalt pavement is soft, and the friction coefficient is slightly higher than the normal coefficient. In winter, the temperature is lower, the air pressure is higher, the pavement of the asphalt is hardened, and the friction coefficient is smaller than the normal coefficient. The toppling and shaking amplitude of the road surface is kept between 0.00021 and 0.00035; in the rain, the friction coefficient on the asphalt pavement is reduced by 15%.

For a good cement concrete pavement, the influence of weather temperature factors on the condition of the cement concrete pavement is mainly considered according to the composition condition of the cement concrete pavement. Since concrete has the property of expanding with heat and contracting with cold, when the external environment or the internal temperature changes, the concrete deforms. If the deformation is constrained, stresses will develop within the structure, which when exceeded the tensile strength of the concrete, create temperature cracks. The main characteristic of temperature fractures, which distinguishes them from others, is that they will expand or close with temperature changes. The main factors causing the temperature change comprise annual temperature difference, sunshine, sudden temperature reduction, hydration heat, improper steam maintenance or winter construction measures and the like, and the toppling and shaking amplitude is kept between 0.00012 and 0.00015; and in rainy days, the friction coefficient of the cement-concrete pavement can be reduced by 10%.

For a compacted and dried dirt road surface, the road surface condition is better in dry and rainy seasons, and the road surface friction coefficient cannot be greatly influenced; in the season of heavy rainfall, the climate is humid, the influence on the road surface is large, and the friction coefficient can be increased by about 23 percent.

For the mud road surface after rain, in high temperature seasons, the water in the mud road surface after rain evaporates more quickly, which can lead the friction coefficient of the road surface to increase by about 3 percent based on the original friction coefficient; in low-temperature seasons, the water evaporation of the mud road surface after rain is slow, and the friction coefficient cannot be greatly influenced.

For an iced road surface, the ice-water mixture is present on the road surface, and the friction coefficient at this time is about 47% of the friction coefficient of the road surface at the time of icing.

The theoretical friction coefficients of the various road surfaces may be calculated based on road surface design parameters, road surface material characteristics, and the like, or may be obtained from road network information.

After the theoretical friction coefficient of the road surface is determined, the friction coefficient between the tire and the road surface when the tire runs on the road surface needs to be further determined, namely the friction coefficient of the road surface is determined.

For example, the embodiment of the application combines a friction coefficient formula and a theoretical friction coefficient of a road surface to calculate and determine the road surface friction dilution:

RQI is 4.98 to 0.34 × ZRI, where RQI represents the road surface friction coefficient when the tire is in contact with the road surface, and ZRI represents the theoretical friction coefficient of the road surface.

According to the above technical method, the following road surface friction coefficient can be calculated and determined for each road surface condition (the number behind the road surface represents the road surface friction coefficient) respectively:

good asphalt pavement 0.015, rainy asphalt pavement 0.01275, summer 0.1535, winter 0.01479;

good cement pavement 0.019, rainy cement pavement 0.0171, summer 0.01915, winter 0.0188;

0.022 parts of a gravel road surface; 0.038 parts of good pebble pavement; 0.041 of hollow pebble pavement; 0.027 of compacted and dried dirt road surface; winter dirt roads 0.03321; 0.07 parts of mud road surface after rain; 0.27 parts of dry sand pavement; 0.123 of wet sand pavement; frozen pavement 0.022; snow road surface 0.0435; an iced pavement (asphalt pavement) 0.01034; wading road 0.3074; emergency lane 0.045.

The road surface friction coefficient determined by the above calculation is a road surface friction coefficient determined by calculation in a theoretical case. When the vehicle runs in the target travel, the road surface condition and the running environment should be identified in real time according to the image collected by the camera and the environment information sensed by the vehicle-mounted sensor, so that the road surface friction coefficient is determined in real time according to the actual condition.

And S204, calculating and determining the tire wear condition of the target vehicle after the target travel according to the road surface friction coefficient and the mileage of the target travel.

Specifically, when the subject vehicle travels in the subject course, friction is generated between the subject vehicle tire and the road surface due to the presence of the above-described road surface friction coefficient, thereby causing tire wear.

Then, based on the road surface friction coefficient and the mileage of the target trip, the wear of the tire after the target vehicle passes through the target trip can be calculated and determined.

Further, when the speed, the load and the like of the target vehicle are different, the friction of the target vehicle tire on the road surface is also influenced, and the abrasion of the tire is influenced. Therefore, when the tire wear condition of the target vehicle after the target travel is calculated, the tire wear condition can be comprehensively calculated by referring to the information such as the vehicle speed and the load of the target vehicle.

In addition, steps S201 and S202 in the method embodiment shown in fig. 2 correspond to steps S101 and S102 in the method embodiment shown in fig. 1, respectively, and specific contents thereof refer to the contents of the method embodiment shown in fig. 1, which are not repeated here.

Further, in the target course, there may be a case where the road surface conditions are not completely uniform, that is, there may be a case where a plurality of sub-courses having different road surface conditions are included.

At this time, when determining the road surface friction coefficient based on the road surface information of the target trip and the running environment information, the road surface friction coefficient of each sub-trip is determined based on the road surface condition of each sub-trip and the running environment of the target vehicle when passing each sub-trip.

For example, assuming that three different road section routes including the road section 1, the road section 2 and the road section 3 are included in the target route, and the road surface conditions of the three road sections are different from each other, when the target vehicle travels in the target route, the target vehicle needs to travel through the road section 1, the road section 2 and the road section 3 in sequence. Then, when determining the tire wear condition of the target vehicle after passing through the target road segment, it is necessary to first determine the road surface friction coefficients of the target vehicle when the target vehicle travels on the road segment 1, the road segment 2 and the road segment 3, that is, determine the road surface friction coefficients of the respective sub-strokes in the target stroke, according to the road surface conditions of the road segment 1, the road segment 2 and the road segment 3 and the traveling environment of the target vehicle when traveling to the road segment 1, the road segment 2 and the road segment 3.

And then, respectively calculating and determining the tire wear condition of the target vehicle after each sub-stroke according to the road surface friction coefficient of each sub-stroke, the driving distance of the target vehicle in each sub-stroke, or the vehicle speed, the load and the like of the target vehicle in each sub-stroke.

And finally, determining the tire wear condition of the target vehicle after the target vehicle passes through the target stroke according to the tire wear condition of the target vehicle after each sub-stroke.

For example, the tire wear conditions of the target vehicle after the target vehicle passes through the respective sub-strokes are superposed, so that the tire wear conditions of the target vehicle after the target vehicle passes through the target stroke can be determined.

In the embodiment of the present application, for a target travel including a plurality of different road surface conditions, sub-travels are divided according to different road surfaces, and then tire wear conditions of a target vehicle after passing through the sub-travels are calculated for each sub-travel, so as to determine the tire wear conditions of the target vehicle after passing through the target travel. The processing procedure strictly considers the abrasion of the tires on different road surfaces, so that the tire abrasion condition of the target vehicle after the target travel can be more accurately determined. In the above process of determining the wear of the target vehicle tire by each sub-trip, reference is also made to the process of determining the wear of the target vehicle tire by the target trip described in the above embodiment.

As a preferred implementation manner, the embodiment of the present application further provides that before determining the tire wear condition of the target vehicle after the target vehicle passes through the target trip, vehicle condition information of the target vehicle at the time of starting the target trip is further acquired.

The vehicle condition information is information indicating the condition of the target vehicle.

For example, the vehicle condition information may include vehicle load, tire wear, tire pressure, wheel maintenance records, tire age, tire authenticity, and the like.

The vehicle load is a vehicle load determined mainly based on the number of passengers. It can be understood that when the number of the target vehicles is different, the loads of the vehicles are different, so that the friction force between the tires of the target vehicles and the ground is changed, namely, the abrasion of the tires on the road is influenced.

Meanwhile, when the load of the target vehicle changes, the contact area between the tire and the ground also changes, the air pressure in the tire also changes, and the wear condition of the tire in the running process of the target vehicle is influenced by the changes of the factors.

Taking a common class-A three-box vehicle in the market as an example, the number of normal maximum load people is 5. When only one driver drives, the tire pressure is within the range of the normal value range, and the contact surface between the tire and the ground is the normal value. When the vehicle is fully loaded by 5 persons, the pressure of the tire reaches a maximum value, and the contact surface between the tire and the ground is increased.

According to the Kerberon equation: PV ═ M/M) RT

Wherein P is the pressure of the gas in Pa; v is the volume of gas; m is the mass of the gas; m is the molar mass of the gas, (M/M) is the number of moles; r is the gas universal constant, and R is 8.31J/mol; t is the temperature of the gas in Kelvin.

For a tire, the mass of the inside air is constant, and assuming that the full load is the same as the unloaded temperature (T), then PV is K (constant). The tire deformation is large at full load and V decreases (at 0 load, the tire section can be approximated as a circle, the area S pi R2, the portion near ground at full load will be flat, the perimeter will be substantially unchanged, so V will decrease), and will certainly increase according to formula P.

Therefore, the load of the target vehicle directly affects the tire condition, and also affects the frictional force between the tire and the ground, that is, the worn condition of the tire during running.

The tire wear level mentioned above refers to a level to which the tire has been worn, and for example, when the target vehicle starts the above-mentioned target course, the tire has been worn by 40%, the tire wear level at that time can be determined to be 40%.

It will be appreciated that tires of different wear levels will continue to wear differently under the same driving conditions. For new tires, the strength is higher and therefore the wear is slower, but for old tires, the wear is relatively faster due to long term wear, coupled with natural aging. Therefore, when the same stroke is passed, the cases where tires of different degrees of wear are worn in the stroke are different.

For example, the degree of wear of the tire may be determined by evaluating the degree of wear of the tire according to information such as the time of purchase of the vehicle, the actual mileage, the presence or absence of a tire repair record, and the like.

The wheel maintenance record mainly comprises four-wheel positioning maintenance records. When the wheels are not maintained for a long time in four-wheel positioning, the situation of deviation can occur in the driving process, and the abrasion of tires can be accelerated at the moment.

The above-mentioned authenticity of the tire means whether or not the tire of the target vehicle is a genuine tire produced by the official business. It will be appreciated that imitation or retreaded tyres, which are inherently of unacceptable quality, are worn more rapidly during actual driving.

As an alternative implementation manner, tire parameters of the target vehicle, such as a tire brand, a tire width, tire authentication information, a production place, a factory code, a production date, a tire aspect ratio, whether a radial tire, a bias tire or a belt tire is adopted, a tire hub inner diameter size, a load factor, a speed factor and the like, can be uploaded to a tire brand official website to inquire whether the tire is true or false.

Preferably, since imitation or retread tires may seriously affect driving safety, the embodiment of the present application sets that, when the authenticity of the tire of the target vehicle is determined by inquiry according to the tire parameter information of the target vehicle, an inquiry result is output.

For example, when the inquiry determines that the tire of the target vehicle is a counterfeit or retreaded tire, the inquiry result is output through the vehicle-mounted system, and a warning message can be further output to prompt the user to replace the genuine tire.

Before the tire wear condition of the target vehicle after the target travel is judged, the vehicle condition information is acquired, and then when the tire wear condition of the target vehicle after the target travel is judged, the vehicle condition information and the travel information are combined, and the tire wear condition of the target vehicle after the target travel is comprehensively judged according to the vehicle condition information and the travel information.

For example, after the road surface friction coefficient is determined from the trip information, the tire wear of the target vehicle after the target trip is comprehensively determined based on information such as the degree of tire wear, the vehicle load, the tire pressure, the tire service life, and the mileage at the target trip.

Under the same condition, the higher the tire wear degree is, the larger the vehicle load is, the smaller the tire pressure is, the longer the tire service life is, the longer the driving mileage is, and the more serious the tire wear condition of the target vehicle after the target travel is carried out is; in contrast, the tire wear of the target vehicle after the target travel described above is relatively light.

Further, when the target vehicle travels in the above-mentioned target trip, the embodiment of the present application further acquires the traveling condition information of the target vehicle during the target trip.

The running condition information is information on an actual running condition of the target vehicle.

Illustratively, the running condition information includes a running average speed, a braking frequency, an emergency braking frequency, a starting speed, a throttle weight and the like.

The traveling condition information reflects the driving habits of the user when driving the target vehicle. In general, tires are more worn when driving violently than when driving peacefully under the same driving conditions.

Therefore, in order to more objectively analyze the tire wear of the target vehicle after the target vehicle passes through the target trip, the present embodiment combines the travel condition information with the trip information and the vehicle condition information to determine the tire wear of the target vehicle after the target trip.

Firstly, determining a road surface friction coefficient according to the road surface condition and the running environment in the travel information, and then calculating and determining the tire wear condition of the target vehicle after the target travel according to the road surface friction coefficient, the running uniform speed, the running environment, the running condition information and the like.

For example, the friction, i.e., the degree of wear, to which the tire of the target vehicle is subjected in the target course may be calculated and determined based on the acquired information items:

Kw＝(3/32)·A·0p·Jw·v2

wherein, (3/32) is a numerical value of a friction coefficient calculated based on the formula RQI ═ 4.98 to 0.34 × ZRI; kw represents the amount of wear; a represents a pressure value; 0p represents the braking frequency; jw represents wind speed; v2 represents the average speed of travel.

It should be noted that, in some road conditions, the change of the driving temperature, the emergency braking frequency, the mileage and other factors has less influence on the tire wear, and therefore, the change is not reflected in the above formula. When the technical scheme of the embodiment of the application is practically applied, for the calculation formula of the example, the parameters in the calculation formula can be adaptively increased or decreased within the allowable error range, so that the calculation efficiency is improved, or the calculation complexity is reduced. For example, in accordance with the road surface condition of the actual trip of the target vehicle, a factor that significantly affects the tire wear condition may be selected from the items of the trip information, the vehicle condition information, and the running condition information, and the tire wear condition after the trip of the target vehicle is calculated and specified by substituting the factor into the above formula.

As another alternative implementation manner, after the tire wear condition of the target vehicle after the target vehicle passes through the target trip is calculated and determined, the embodiment of the application further outputs the driving advice corresponding to the target vehicle according to the tire wear condition of the target vehicle after the target trip.

The driving advice is mainly the driving advice aiming at reducing the wear on the tires of the target vehicle and ensuring the driving safety of the target vehicle.

For example, assuming that the degree of tire wear after the calculation determination target vehicle passes through the target trip has reached a severe degree of tire wear, at which the risk of tire damage may occur, a recommendation "recommend tire replacement" is output, and a tire wear value is output, so that the user knows the tire wear condition and replaces the tire in time.

If the tire is worn by 10% after the target vehicle passes through the target travel, and the tire is seriously worn, the abrasion degree value (10%) of the travel to the tire is output, so that a user can know the tire wear condition conveniently, and a travel route can be optimized next time.

Furthermore, tire characteristics (the abrasion conditions of the tire on different roads) can be analyzed according to the abrasion degree of the current journey to the tire and the road condition of the current journey, and an optimal vehicle using scene suggestion can be given. For example, if the tire passes through the asphalt pavement and the dirt road surface respectively in the current journey, and the abrasion of the tire on the asphalt pavement is calculated to be smaller than that on the dirt road surface, the tire can be analyzed and determined to be more suitable for the asphalt pavement, so that a suggestion can be given to a user to select the asphalt pavement for driving so as to prolong the service life of the tire.

In addition, the influence of the driving of the user on the tire wear is analyzed by combining the driving condition of the user and the degree of wear of the tire by the current trip, and then a driving suggestion can be given. For example, assuming that in the present trip, when the user drives violently, it is found that the tire wear is severe, and when the user drives smoothly, it is less, it may be recommended that the user should drive smoothly to protect the tire and to ensure driving safety.

In correspondence with the above tire wear condition determination method, an embodiment of the present application also proposes a tire wear condition determination device, as shown in fig. 3, the device including:

a data obtaining unit 100, configured to obtain a target trip, where the target trip is a route planned or traveled by a user;

an information determination unit 110, configured to determine travel information of the target travel, where the travel information at least includes a road surface condition, a mileage of the target travel, and a driving environment;

and the judgment processing unit 120 is used for judging the tire wear condition of the target vehicle after the target travel according to at least the travel information.

The tire wear condition determination device provided by the embodiment of the application can determine the tire wear condition of a target vehicle after the target vehicle passes through the target travel based on the acquired travel information of the target travel. The device has realized the automatic judgement to the tire wearing and tearing condition, with the device be applied to the scene of actually driving, can convenience of customers in driving daily, in time know the tire wearing and tearing condition.

Optionally, the apparatus further comprises:

and the journey evaluation unit is used for determining a target journey with the minimum tire wear degree to the target vehicle from a plurality of target journeys according to the tire wear condition of the target vehicle after each target journey, and the target journey is used as a preferred target journey.

Optionally, the information determining unit is further configured to:

the information determination unit is further configured to:

Optionally, the apparatus further comprises:

and the information output unit is used for outputting driving suggestions corresponding to the target vehicle according to the tire wear condition of the target vehicle after the target vehicle passes through the target stroke.

Specifically, please refer to the contents of the above method embodiments for the specific working contents of each unit of the tire wear condition determining device, which will not be described herein again.

Another embodiment of the present application further discloses a tire wear condition determining apparatus, as shown in fig. 4, including:

a memory 200 and a processor 210;

wherein, the memory 200 is connected to the processor 210 for storing programs;

the processor 210 is configured to execute the program stored in the memory 200 to implement the method for determining the wear condition of the tire disclosed in any of the above embodiments.

Specifically, the evaluation device for the target detection result may further include: a bus, a communication interface 220, an input device 230, and an output device 240.

The processor 210, the memory 200, the communication interface 220, the input device 230, and the output device 240 are connected to each other through a bus. Wherein:

a bus may include a path that transfers information between components of a computer system.

The processor 210 may be a general-purpose processor, such as a general-purpose Central Processing Unit (CPU), microprocessor, etc., an application-specific integrated circuit (ASIC), or one or more integrated circuits for controlling the execution of programs in accordance with the present invention. But may also be a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), an off-the-shelf programmable gate array (FPGA) or other programmable logic device, discrete gate or transistor logic, discrete hardware components.

The processor 210 may include a main processor and may also include a baseband chip, modem, and the like.

The memory 200 stores programs for executing the technical solution of the present invention, and may also store an operating system and other key services. In particular, the program may include program code including computer operating instructions. More specifically, memory 200 may include a read-only memory (ROM), other types of static storage devices that may store static information and instructions, a Random Access Memory (RAM), other types of dynamic storage devices that may store information and instructions, a disk storage, a flash, and so forth.

The input device 230 may include a means for receiving data and information input by a user, such as a keyboard, mouse, camera, scanner, light pen, voice input device, touch screen, pedometer, or gravity sensor, among others.

Output device 240 may include equipment that allows output of information to a user, such as a display screen, a printer, speakers, and the like.

Communication interface 220 may include any device that uses any transceiver or the like to communicate with other devices or communication networks, such as an ethernet network, a Radio Access Network (RAN), a Wireless Local Area Network (WLAN), etc.

The processor 2102 executes the programs stored in the memory 200 and invokes other devices, which may be used to implement the steps of the tire wear determination method provided in the embodiments of the present application.

Another embodiment of the present application further provides a storage medium, where a computer program is stored on the storage medium, and when the computer program is executed by a processor, the computer program implements the steps of the tire wear condition determination method provided in any one of the above embodiments.

The specific operation of each part of the tire wear condition determination device and the specific processing of the program in the storage medium when executed by the processor can be referred to the contents of the above method embodiments, and will not be repeated here.

While, for purposes of simplicity of explanation, the foregoing method embodiments have been described as a series of acts or combination of acts, it will be appreciated by those skilled in the art that the present application is not limited by the order of acts or acts described, as some steps may occur in other orders or concurrently with other steps in accordance with the application. Further, those skilled in the art should also appreciate that the embodiments described in the specification are preferred embodiments and that the acts and modules referred to are not necessarily required in this application.

It should be noted that, in the present specification, the embodiments are all described in a progressive manner, each embodiment focuses on differences from other embodiments, and the same and similar parts among the embodiments may be referred to each other. For the device-like embodiment, since it is basically similar to the method embodiment, the description is simple, and for the relevant points, reference may be made to the partial description of the method embodiment.

The steps in the method of each embodiment of the present application may be sequentially adjusted, combined, and deleted according to actual needs, and technical features described in each embodiment may be replaced or combined.

The modules and sub-modules in the device and the terminal in the embodiments of the application can be combined, divided and deleted according to actual needs.

In the several embodiments provided in the present application, it should be understood that the disclosed terminal, apparatus and method may be implemented in other manners. For example, the above-described terminal embodiments are merely illustrative, and for example, the division of a module or a sub-module is only one logical division, and there may be other divisions when the terminal is actually implemented, for example, a plurality of sub-modules or modules may be combined or integrated into another module, 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 through some interfaces, devices or modules, and may be in an electrical, mechanical or other form.

The modules or sub-modules described as separate parts may or may not be physically separate, and parts that are modules or sub-modules may or may not be physical modules or sub-modules, may be located in one place, or may be distributed over a plurality of network modules or sub-modules. Some or all of the modules or sub-modules can be selected according to actual needs to achieve the purpose of the solution of the present embodiment.

In addition, each functional module or sub-module in the embodiments of the present application may be integrated into one processing module, or each module or sub-module may exist alone physically, or two or more modules or sub-modules may be integrated into one module. The integrated modules or sub-modules may be implemented in the form of hardware, or may be implemented in the form of software functional modules or sub-modules.

Those of skill would further appreciate that the various illustrative elements and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware, computer software, or combinations of both, and that the various illustrative components and steps have been described above generally in terms of their functionality in order to clearly illustrate this interchangeability of hardware and software. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the implementation. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present application.

The steps of a method or algorithm described in connection with the embodiments disclosed herein may be embodied directly in hardware, in a software unit executed by a processor, or in a combination of the two. The software cells may reside in Random Access Memory (RAM), memory, Read Only Memory (ROM), electrically programmable ROM, electrically erasable programmable ROM, registers, hard disk, a removable disk, a CD-ROM, or any other form of storage medium known in the art.

Finally, it should also be noted that, herein, relational terms such as first and second, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus 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 apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other identical elements in a process, method, article, or apparatus that comprises the element.

The previous description of the disclosed embodiments is provided to enable any person skilled in the art to make or use the present application. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to other embodiments without departing from the spirit or scope of the application. Thus, the present application is not intended to be limited to the embodiments shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.

Claims

1. A tire wear condition determination method, comprising:

2. The method according to claim 1, wherein the number of the target trips is plural, and a departure place and a destination of each target trip are the same;

3. The method of claim 2, further comprising:

4. The method of claim 1, wherein said determining tire wear after the target vehicle has traveled the target trip based at least on the trip information comprises:

5. The method of claim 4, wherein the target course includes a plurality of sub-courses differing in road surface condition;

6. The method of claim 1, further comprising:

7. The method of claim 6, further comprising:

8. The method of claim 7, wherein said determining tire wear of the target vehicle after the target trip based on the driving condition information, the trip information, and the vehicle condition information comprises:

9. The method of claim 6, wherein the vehicle condition information further includes tire parameter information;

the method further comprises the following steps:

10. The method of claim 1, further comprising:

11. A tire wear condition determination device characterized by comprising:

12. A tire wear condition judgment device characterized by comprising:

a memory and a processor;

the processor is configured to execute the program stored in the memory to implement the tire wear condition determination method according to any one of claims 1 to 10.

13. A storage medium having stored thereon a computer program which, when executed by a processor, implements a tire wear condition determination method according to any one of claims 1 to 10.