New energy tire wear degree detection method and equipment for wet and slippery road surface

Abstract

The invention discloses a new energy tire wear degree detection method and equipment for a wet and slippery road surface, and belongs to the technical field of to-be-detected tire detection. The method comprises the following steps: determining a to-be-detected tire and a to-be-detected vehicle, and determining an actual installation position; acquiring a road surface state in a driving direction of the new energy vehicle based on an image acquisition system, and calling a vehicle state of the new energy vehicle; detecting the drainage condition of the to-be-detected tire, determining a pressure detection data wear degree calculation formula, processing the water accumulation degree, the vehicle speed, the pressure detection data and the relative distance, and determining the wear degree of the to-be-detected tire; processing vehicle speed, pressure detection data and tire pressure based on a wear judgment algorithm to determine a wear type; and determining an optimal driving strategy of the to-be-detected vehicle based on the wear degree, the wear type and the road surface state. According to the method, the wear degree of the tire on the wet and slippery road surface can be accurately and timely determined, and a corresponding prompt is given.

Description

Technical Field

[0001] The present invention relates to the technical field of new energy tire wear detection, and in particular to a new energy tire wear detection method and device for use on slippery roads. Background Art

[0002] Tires are circular elastic rubber products that roll on the ground and are installed on various vehicles or machines. They are usually installed on metal rims, can support the vehicle body, buffer external impacts, achieve contact with the road surface and ensure the driving performance of the vehicle. Tires are often used under complex and harsh conditions. They are subjected to various deformations, loads, forces, and high and low temperature effects when driving, so they must have high load-bearing performance, traction performance, and buffering performance. At the same time, they are also required to have high wear resistance and flex resistance, as well as low rolling resistance and heat generation.

[0003] The grip of a tire on wet and slippery ground is a crucial safety factor, which mainly depends on the material and pattern design of the tire. The material of the tire determines its hardness, elasticity and wear resistance, while the pattern design directly affects the contact mode between the tire and the ground and the drainage efficiency. The pattern design, such as longitudinal grooves and transverse patterns, can effectively drain water from the tire and the ground when the tire is rolling through carefully calculated angles and depths, thereby reducing the formation of water film and reducing the adverse effects of water film on grip.

[0004] However, tires will inevitably wear out due to long-term use and friction with various road surfaces. This wear will gradually make the depth of the tire pattern shallower, reduce the drainage capacity of the pattern, and thus reduce the tire's grip on wet and slippery surfaces. When the tire is worn to a certain extent, its performance on wet and slippery roads will be greatly reduced, increasing the risk of the vehicle skidding and loss of control.

[0005] Therefore, how to accurately and timely determine the degree of tire wear on slippery roads and give corresponding prompts has become a technical problem that needs to be solved urgently. Summary of the invention

[0006] The embodiment of the present invention provides a method and device for detecting the wear degree of new energy tires on slippery roads, which are used to solve the following technical problem: how to accurately and timely determine the wear degree of tires on slippery roads and give corresponding prompts.

[0007] In a first aspect, an embodiment of the present invention provides a method for detecting the degree of wear of new energy tires on slippery roads, the method comprising: determining a tire to be detected and a vehicle to be detected, and determining a recommended installation area based on the model of the tire to be detected and the model of the vehicle to be detected; wherein the recommended installation area is used to install a preset pressure distribution measurement system, a pressure sensor and a temperature sensor are arranged in the tire to be detected, and an image acquisition system is arranged on the vehicle to be detected; based on the recommended installation area, the pressure distribution measurement system is installed on the vehicle to be detected, and the relative position of the pressure distribution measurement system relative to the tire to be detected is determined; based on the image acquisition system, the road surface state in the driving direction of the vehicle to be detected is acquired, and the vehicle image of the vehicle to be detected is retrieved; vehicle state; wherein the vehicle state includes at least one of the following: vehicle speed, tire temperature and tire pressure, and the road surface state includes at least one of the following: wet and dry; when the road surface state is wet, the drainage condition of the tire to be detected is detected based on the pressure distribution measurement system to determine the pressure detection data; the vehicle speed, pressure detection data and relative position are processed based on a preset wear degree calculation formula to determine the wear degree of the tire to be detected; the vehicle speed, pressure detection data and tire pressure are processed based on a preset wear judgment algorithm to determine the wear type and wear area of ​​the tire to be detected; wherein the wear type includes regular wear and irregular wear; the preferred driving strategy of the vehicle to be detected is determined based on the wear degree, wear type and road surface state.

[0008] In one implementation of the present invention, a tire to be tested and a vehicle to be tested are determined, and a recommended installation area is determined based on the model of the tire to be tested and the model of the vehicle to be tested, specifically including: determining a preset inclination angle range and a preset distance range; wherein the inclination angle range is the inclination angle range between the pressure distribution measurement system installed on the vehicle to be tested and the ground, and the distance range is the distance range between the pressure distribution measurement system installed on the vehicle to be monitored and the tire to be tested; processing the model of the vehicle to be tested based on the inclination angle range to determine a first recommended installation area; wherein the first recommended installation area is an installation area determined based on the inclination angle range; processing the model of the vehicle to be tested and the model of the tire to be monitored based on the distance range to determine a second recommended installation area, wherein the second recommended installation area is an installation area determined based on the distance range; determining the recommended installation area based on the first recommended installation area and the second recommended installation area.

[0009] In one implementation of the present invention, the road surface condition of the road surface in the driving direction of the vehicle to be detected is obtained based on the image acquisition system, and the vehicle condition of the vehicle to be detected is retrieved, specifically including: obtaining road surface image data of the road surface in the driving direction of the vehicle to be detected based on the image acquisition system; judging whether the road surface in the driving direction belongs to a preset detection terrain based on the road surface image data; wherein the detection terrain includes at least one of the following: cement road, asphalt road; when the road surface belongs to the detection terrain, processing the road surface image data based on a preset image recognition algorithm to determine the road surface condition; connecting the vehicle to be detected to retrieve the vehicle speed, tire temperature and tire pressure of the vehicle to be detected.

[0010] In one implementation of the present invention, the road friction coefficient, vehicle speed, pressure detection data and relative position are processed based on a preset wear degree calculation formula to determine the wear degree of the tire to be detected, specifically including: comparing with a preset simulation database based on the road surface state to retrieve the speed-pressure formula corresponding to the pressure distribution measurement system of the tire to be detected in a wear-free state; processing the speed-pressure formula based on the relative distance to determine the adaptive speed-pressure formula; substituting the tire speed into the adaptive speed-pressure formula to determine the non-wear pressure detection data corresponding to the pressure distribution measurement system of the tire to be detected in a non-wear state; comparing the non-wear pressure detection data based on the pressure detection data to determine the wear degree of the tire to be detected.

[0011] In one implementation of the present invention, the vehicle speed, pressure detection data and tire pressure are processed based on a preset wear judgment algorithm to determine the wear type and wear area of ​​the tire to be detected, specifically including: judging whether the tire to be detected is within a preset pressure range based on the tire pressure; when the tire pressure is not within the pressure range, determining that the tire to be detected is irregularly worn based on the tire pressure, and judging the wear area of ​​the tire to be detected based on the value of the tire pressure; when the tire pressure is within the pressure range, processing the pressure detection data based on the vehicle speed and the tire circumference to obtain pressure detection cycle data at an average speed, and determining the wear type of the tire to be detected based on the change in the pressure detection cycle data; when the tire to be detected is irregularly worn, processing the tire to be detected based on the change in the pressure detection cycle data to determine the wear area of ​​the tire to be detected.

[0012] In one implementation of the present invention, when the tire pressure is not within the pressure range, the tire to be detected is determined to be irregularly worn based on the tire pressure, and the wear area of ​​the tire to be detected is judged based on the numerical value of the tire pressure, specifically including: when the tire pressure is greater than the pressure range, the wear area of ​​the tire to be detected is the inner side of the tire to be detected; when the tire pressure is less than the pressure range, the wear area of ​​the tire to be detected is the outer two sides of the tire to be detected.

[0013] In one implementation of the present invention, when the tire pressure is within the pressure range, the pressure detection data is processed based on the vehicle speed and the tire circumference to obtain pressure detection cycle data at the average speed, and the wear type of the tire to be detected is determined based on the change status of the pressure detection cycle data, specifically including: processing the pressure detection data based on the vehicle speed to obtain average pressure detection data; processing the average pressure detection data based on the tire circumference as a period to determine the pressure detection cycle data; judging whether the tire to be detected is regularly worn based on the change status of the pressure detection cycle data; judging that the tire to be detected is irregularly worn when the pressure detection cycle data image is not stable; judging that the tire to be detected is regularly worn when the pressure detection cycle data image is stable.

[0014] In one implementation of the present invention, when the tire to be detected is irregularly worn, the tire to be detected is processed based on the change status of the pressure detection cycle data to determine the wear area of ​​the tire to be detected, specifically including: connecting the pressure sensor based on the pressure distribution measurement system; determining the initial area based on the pressure sensor, and dividing the tire area in order according to a preset number of divisions and the tire forward direction to determine multiple tire sub-areas; when the pressure sensor passes through a preset trigger point, intercepting the pressure detection cycle data to obtain a unit pressure detection cycle; processing the unit pressure detection cycle based on the number of divisions to determine multiple sub-unit pressure detection cycles; wherein the multiple sub-unit pressure detection cycles correspond one-to-one to the multiple tire sub-areas; marking the tire sub-areas with a wear threshold greater than a preset threshold as a wear area.

[0015] In one implementation of the present invention, the preferred driving strategy of the vehicle to be detected is determined based on the degree of wear, the type of wear and the road surface condition, specifically including: processing the road surface condition based on a preset image processing model to determine the degree of water accumulation; comparing the degree of water accumulation and the detection terrain with a preset friction coefficient table to determine the road surface friction coefficient; comparing the road surface friction coefficient, the degree of wear and the type of wear with a preset preferred driving recommendation model to determine the preferred driving strategy of the vehicle to be detected.

[0016] In a second aspect, an embodiment of the present invention further provides a new energy tire wear degree detection device for slippery roads, characterized in that the device includes: at least one processor; and a memory connected to the at least one processor in communication; wherein the memory stores instructions that can be executed by at least one processor, and the instructions are executed by at least one processor so that at least one processor can: determine the tire to be detected and the vehicle to be detected, and determine the recommended installation area based on the model of the tire to be detected and the model of the vehicle to be detected; wherein the recommended installation area is used to install a preset pressure distribution measurement system, a pressure sensor and a temperature sensor are provided in the tire to be detected, and an image acquisition system is provided in the vehicle to be detected; based on the recommended installation area, the pressure distribution measurement system is installed on the vehicle to be detected, and the pressure distribution measurement system is determined relative to the wheel to be detected. relative position of the tire to be detected; based on the image acquisition system, the road surface state in the driving direction of the vehicle to be detected is acquired, and the vehicle state of the vehicle to be detected is retrieved; wherein, the vehicle state includes at least one of the following: vehicle speed, tire temperature and tire pressure, and the road surface state includes at least one of the following: wet and dry; when the road surface state is wet and slippery, the drainage condition of the tire to be detected is detected based on the pressure distribution measurement system to determine the pressure detection data; based on the preset wear degree calculation formula, the vehicle speed, pressure detection data and relative position are processed to determine the wear degree of the tire to be detected; based on the preset wear judgment algorithm, the vehicle speed, pressure detection data and tire pressure are processed to determine the wear type and wear area of ​​the tire to be detected; wherein, the wear type includes regular wear and irregular wear; based on the wear degree, wear type and road surface state, the preferred driving strategy of the vehicle to be detected is determined.

[0017] The embodiment of the present invention provides a method and device for detecting the wear degree of new energy tires on slippery roads, which has at least the following technical effects:

[0018] The invention ensures the accuracy of data collection by comprehensively considering the tire and vehicle models, accurately determining the installation area of ​​the pressure distribution measurement system, and using the image acquisition system to capture the road surface conditions in real time, combined with multi-dimensional data such as vehicle speed, tire temperature and tire pressure, to achieve a comprehensive assessment of the degree of tire wear; especially under slippery road conditions, by detecting the drainage conditions of the tires, the pressure detection data is further refined, providing a strong basis for wear judgment, and can accurately distinguish regular wear from irregular wear to a certain extent, and accurately locate the wear area. Finally, based on the degree of wear, type and road surface conditions, a scientific and optimal driving strategy is provided for the driver, which effectively improves driving safety and tire service life. Therefore, the present invention can accurately and timely determine the degree of tire wear on slippery roads and give corresponding prompts. BRIEF DESCRIPTION OF THE DRAWINGS

[0019] The drawings described herein are used to provide a further understanding of the present invention and constitute a part of the present invention. The exemplary embodiments of the present invention and their descriptions are used to explain the present invention and do not constitute an improper limitation of the present invention. In the drawings:

[0020] Figure 1 A flow chart of a method for detecting the wear degree of new energy tires on slippery roads provided by an embodiment of the present invention;

[0021] Figure 2 A schematic diagram of the internal structure of a new energy tire wear degree detection device for wet and slippery roads provided in an embodiment of the present invention. DETAILED DESCRIPTION

[0022] In order to make the purpose, technical solution and advantages of the present invention clearer, the technical solution of the present invention will be clearly and completely described below in conjunction with the specific embodiments of the present invention and the corresponding drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative work are within the scope of protection of the present invention.

[0023] The embodiment of the present invention provides a method and device for detecting the wear degree of new energy tires on slippery roads, which are used to solve the following technical problem: how to accurately and timely determine the wear degree of tires on slippery roads and give corresponding prompts.

[0024] The technical solution proposed in the embodiment of the present invention is described in detail below with reference to the accompanying drawings.

[0025] Figure 1 The present invention provides a flow chart of a new energy tire wear degree detection method for a slippery road. Figure 1 As shown, a method for detecting the wear degree of new energy tires on slippery roads provided by an embodiment of the present invention specifically includes the following steps:

[0026] Step 1, determine the tire to be tested and the vehicle to be tested, and determine the recommended installation area based on the model of the tire to be tested and the model of the vehicle to be tested; wherein the recommended installation area is used to install a preset pressure distribution measurement system, a pressure sensor and a temperature sensor are provided in the tire to be tested, and an image acquisition system is provided in the vehicle to be tested.

[0027] The tire to be tested is pre-installed with a pressure sensor and a temperature sensor to detect the pressure and temperature changes inside the tire in real time. The vehicle to be tested is equipped with an image acquisition system, such as a high-definition camera, to capture images of the road in the direction of the vehicle's travel.

[0028] The specific steps are shown in step 11 to step 13.

[0029] Step 11, determine a preset inclination angle range and a preset distance range; wherein the inclination angle range is the inclination angle range between the pressure distribution measurement system installed on the vehicle to be detected and the ground, and the distance range is the distance range between the pressure distribution measurement system installed on the vehicle to be monitored and the tire to be detected.

[0030] Tilt angle range: Tilt angle range refers to the specific range of the tilt angle formed between the pressure distribution measurement system and the ground after it is installed on the vehicle to be tested. Because there is a certain proportional angle between the drainage of tires on slippery roads and the ground, too large or too small a tilt will cause deviation or distortion of the measurement data. For example, if the tilt angle between the pressure distribution measurement system and the ground is too large, the pressure distribution of the tire drainage on the slippery road on the pressure distribution measurement system will be uneven. If the tilt angle between the pressure distribution measurement system and the ground is too small, it will also cause uneven pressure distribution of the tire drainage on the slippery road on the pressure distribution measurement system. Because the pressure distribution measurement system is installed on the vehicle to be tested, the tilt angle between the pressure distribution measurement system and the ground is only related to the shape and installation position of the vehicle, so the vehicle to be tested needs to be processed based on the tilt angle range to determine an approximate area based on the tilt angle range (the first recommended installation area).

[0031] Distance range: The distance range refers to the specific interval that the distance between the installation position of the pressure distribution measurement system and the tire to be tested should meet. The choice of distance has an important impact on the measurement accuracy. A distance that is too close or too far will affect the accuracy of the measurement results. For example, if the installation position of the pressure distribution measurement system is too close to the tire to be tested, the tire drainage cannot be effectively splashed onto the pressure distribution measurement system on slippery roads. And this distance range is the distance between the tire to be tested and the pressure distribution measurement system. Changes in tire models will affect the distance between the tire to be tested and the pressure distribution measurement system. Therefore, it is necessary to process the vehicle to be tested and the tire to be tested based on the distance range to determine an approximate area based on the distance range (the second recommended installation area).

[0032] The tilt angle range and the distance range are manually set. For example, professionals determine that the tilt angle range should be between 5° and 12° and the distance range should be between 20cm and 50cm based on historical research data.

[0033] Step 12: Process the model of the vehicle to be detected based on the tilt angle range to determine a first recommended installation area; wherein the first recommended installation area is an installation area determined based on the tilt angle range.

[0034] According to the tilt angle range determined in step 11 and in combination with the model characteristics of the vehicle to be detected, a first recommended installation area suitable for installing the pressure distribution measurement system is determined.

[0035] The processing procedure may be to set a vehicle model installation table (recording various vehicle models and corresponding first recommended installation areas), and determine the first recommended installation area by consulting the vehicle model installation table.

[0036] Step 13: Process the model of the vehicle to be detected and the model of the tire to be monitored based on the distance range to determine a second recommended installation area, wherein the second recommended installation area is an installation area determined based on the distance range.

[0037] According to the distance range determined in step 11, combined with the model of the vehicle to be detected and the model characteristics of the tire to be monitored, a second recommended installation area suitable for installing the pressure distribution measurement system is further determined.

[0038] The processing process may be to set up a vehicle model and tire model installation table (recording various models of vehicles, various models of tires and corresponding second recommended installation areas), and determine the second recommended installation area by consulting the vehicle model and tire model installation table.

[0039] Step 14: Determine a recommended installation area based on the first recommended installation area and the second recommended installation area.

[0040] In this step, based on the first recommended installation area and the second recommended installation area, a recommended installation area that meets both the tilt angle requirement and the distance requirement is determined, that is, the overlapping area of ​​the first recommended installation area and the second recommended installation area.

[0041] In one case, it was determined that the tilt angle range was between 5° and 12°, and the distance range was an area extending 30cm to 50cm from the outer edge of the tire side. By consulting the vehicle model installation table, it was found that for a Type A sedan, the position on the inner side of the rear wheel arch near the suspension system is the first recommended installation area, and the tilt angle is between 5° and 12°. By consulting the vehicle model and tire model installation table, for a 225 / 50R17 tire used with a Type A sedan, the position on the outer side of the rear wheel arch near the tire sidewall is the second recommended installation area, and the distance range is between 30cm to 50cm from the outer edge of the tire side. There is an overlapping area between the position on the inner side of the rear wheel arch near the suspension system (the first recommended installation area) and the position on the outer side of the rear wheel arch near the tire sidewall (the second recommended installation area), and this area is the recommended installation area.

[0042] Step 2: Install the pressure distribution measurement system on the vehicle to be tested based on the recommended installation area, and determine the relative position of the pressure distribution measurement system with respect to the tire to be tested.

[0043] In step 1, the recommended installation area of ​​the pressure distribution measurement system is determined. This area is based on a comprehensive consideration of the model of the tire to be tested and the model of the vehicle to be tested, and is intended to ensure that the measurement system can accurately and stably collect tire pressure distribution data.

[0044] First, find the corresponding installation points on the vehicle to be tested according to the specific location of the recommended installation area. These installation points are usually located near the vehicle chassis or wheel hub. Then, use the installation tool to fix the pressure distribution measurement system on the vehicle.

[0045] After installation, determine the relative position of the pressure distribution measurement system to the tire to be tested. Specifically, it is necessary to measure and record parameters such as the distance between the pressure distribution measurement system and the tire, the horizontal offset, and the angle between the pressure distribution measurement system and the tire centerline. These parameters will be used for subsequent data calibration and correction to ensure the accuracy of the measurement results.

[0046] In one example, take a certain model of small car and a certain brand of tires used with it.

[0047] According to the recommended installation area, a suitable installation point was found near the inside of the rear wheel arch of a small car. Using professional installation tools and materials, the various components of the pressure distribution measurement system were firmly installed on the vehicle. After the installation was completed, the specific installation position of the pressure distribution measurement system on the vehicle was recorded, such as "inside the rear wheel arch, 30cm away from the centerline of the wheel hub". At the same time, the relative distance and angle between the receiving device and the tire were measured and recorded using measurement tools for subsequent data processing and analysis.

[0048] Step 3: Based on the image acquisition system, the road surface condition in the driving direction of the vehicle to be detected is obtained, and the vehicle condition of the vehicle to be detected is retrieved; wherein the vehicle condition includes at least one of the following: vehicle speed, tire temperature and tire pressure, and the road surface condition includes at least one of the following: wet and dry.

[0049] Step 31: Acquire road surface image data of the road surface in the driving direction of the vehicle to be detected based on the image acquisition system.

[0050] The image acquisition system (such as a high-definition camera) installed on the vehicle to be inspected is used to capture the road surface image in the direction of the vehicle's travel in real time. The image acquisition system should have a high resolution and frame rate to ensure that changes in the road surface state can be recorded clearly and continuously.

[0051] Step 32: determine whether the road surface in the driving direction belongs to a preset detection terrain based on the road surface image data; wherein the detection terrain includes at least one of the following: cement road, asphalt road.

[0052] The acquired road image data is preprocessed, such as denoising and enhancement, to improve the image quality. Then, based on the preset detection terrain classification standards (such as cement road, asphalt road, etc.), image recognition technology is used to determine whether the current driving road surface belongs to the detection terrain. The purpose is to screen out the road type suitable for subsequent road state judgment and avoid invalid detection on non-detection terrain.

[0053] Step 33: When the road surface belongs to the detection terrain, the road surface image data is processed based on a preset image recognition algorithm to determine the road surface state.

[0054] When the current road surface is judged to be a detection terrain, the road surface image data is further processed using a preset image recognition algorithm. By analyzing the texture, color and other features of the road surface image, it is determined whether the road surface state is wet or dry.

[0055] Step 34: Connect the vehicle to be tested to retrieve the vehicle speed, tire temperature and tire pressure of the vehicle to be tested.

[0056] Establish a communication connection with the vehicle to be tested and retrieve the vehicle status information in real time, including vehicle speed, tire temperature and tire pressure. This information is an important parameter for evaluating tire wear and an important basis for formulating driving strategies. In the process of retrieving the vehicle status, the accuracy and real-time nature of the data should be ensured to avoid misjudgment due to data lag or errors.

[0057] In one example, a certain model of a small car and a certain brand of tires used in conjunction with it are used as an example for specific implementation.

[0058] A high-definition camera is installed on the front of the small car to capture the road image in the direction of the vehicle in real time. The camera resolution is set to 1920x1080 pixels and the frame rate is 30 frames per second to ensure clear and continuous images. After preprocessing the acquired road image data, it is judged using the preset detection terrain classification standards (including cement roads and asphalt roads). Through image recognition technology, it is identified that the current driving road surface is asphalt road, which belongs to the detection terrain. When the current road surface is judged to be asphalt road, the road surface image data is further processed using the preset image recognition algorithm. By analyzing the texture and color characteristics of the road surface image, it is judged that the road surface state is dry. By establishing a communication connection with the small car, the vehicle status information is retrieved in real time. The vehicle speed obtained is 80km / h, the tire temperature is 25℃, and the tire pressure is 2.2bar.

[0059] Step 4: When the road surface is slippery, the drainage condition of the tire to be tested is detected based on the pressure distribution measurement system to determine the pressure detection data.

[0060] After confirming that the road surface is slippery, the pressure distribution measurement system is started. The pressure distribution measurement system is equipped with a sensor that can sensitively respond to water flow pressure. The pressure distribution measurement system can detect the dynamic pressure data generated by the water flow on the pressure distribution measurement system. During the measurement process, the force distribution measurement system will record the pressure values ​​of each sensor at different time points to form detailed pressure detection data.

[0061] In one case, a specific implementation was carried out using a certain type of truck and its matching new energy tires as an example.

[0062] When the truck is driving, the high-definition camera captures the road image in real time, and uses the image recognition algorithm to judge the road condition. When water is detected on the road and the reflectivity increases, it is confirmed that the current road condition is slippery.

[0063] The pressure distribution measurement system was immediately started, and the sampling frequency was set to 150 times per second to ensure that every pressure change caused by the water flow on the system could be accurately captured to a certain extent. Pressure detection data was generated during the driving process of the truck.

[0064] Step 5: Process the vehicle speed, pressure detection data and relative position based on a preset wear degree calculation formula to determine the wear degree of the tire to be detected.

[0065] Step 51 : Compare the preset simulation database based on the road surface condition to retrieve the speed-pressure formula corresponding to the pressure distribution measurement system of the tire to be tested in the non-wear state.

[0066] First, according to the current road conditions (such as dry, wet, etc.), the speed pressure formula under the wear-free state that matches the tire model and road conditions to be tested is searched in the preset simulation database. This formula describes the theoretical pressure value generated by the wear-free tire on the pressure distribution measurement system at different vehicle speeds.

[0067] For example, according to the tire model "XYZ123" and the "slippery road surface" condition, the corresponding wear-free state speed-pressure formula is retrieved from the simulation database as P=f(v,θ), where P is the pressure, v is the vehicle speed, and θ is the relative position parameter between the pressure distribution measurement system and the tire.

[0068] Step 52: Process the velocity-pressure formula based on the relative distance to determine an adaptive velocity-pressure formula.

[0069] Taking into account the relative position between the pressure distribution measurement system and the tire (such as whether the sensor is installed on the inside, outside, top or bottom of the tire, etc.) may affect the measured pressure value, the speed-pressure formula is adjusted according to the actual relative position to obtain an adaptive speed-pressure formula that adapts to the current position.

[0070] For example, if the sensor of the pressure distribution measurement system is installed on the rear side of the tire, the speed pressure formula is fine-tuned based on historical data and experience to obtain the adaptive speed pressure formula P ′ =f ′ (v,θ ′ ), where θ ′ is the relative position parameter after adjustment.

[0071] Step 53: Substitute the tire speed into the adaptive speed-pressure formula to determine the non-wear pressure detection data corresponding to the pressure distribution measurement system of the tire to be detected in the non-wear state.

[0072] The real-time measured vehicle speed data is substituted into the adaptive speed pressure formula to calculate the theoretical pressure value that a non-wear tire should produce under the current vehicle speed and relative position, i.e., the non-wear pressure detection data.

[0073] If the current vehicle speed is 60km / h, substitute the adaptive speed pressure formula P ′ =f ′ (v,θ ′ ), calculate the theoretical pressure value P under non-wear state 60 ′ .

[0074] Step 54: Compare the non-wear pressure detection data with the pressure detection data to determine the wear degree of the tire to be detected.

[0075] The actual measured pressure test data is compared with the theoretical pressure value under the non-wear state, and the wear degree of the tire is evaluated according to the difference between the two using the preset wear degree calculation formula. The greater the difference, the more serious the tire wear.

[0076] The actual measured pressure test data is P 实测 , and the theoretical pressure value P under non-wear conditions 60 ′ By comparison, it was found that P 实测 <P 60 ′ According to the preset wear degree calculation formula (wear degree = (P 60 ′ -P 实测 ) / P 60 ′ × 100%), the wear degree of the tire is calculated to be 10%.

[0077] Step 6: Process the vehicle speed, pressure detection data and tire pressure based on a preset wear judgment algorithm to determine the wear type and wear area of ​​the tire to be detected; wherein the wear type includes regular wear and irregular wear.

[0078] Step 61: Determine whether the tire to be tested is within a preset pressure range based on the tire pressure.

[0079] First, check whether the tire pressure is within the normal range. Tire pressure is an important factor affecting tire wear. Too high or too low tire pressure may cause irregular wear.

[0080] For example, the preset tire pressure range is 2.0 to 2.5 bar. The tire pressure data is read in real time. If the reading is 2.3 bar, the tire is judged to be within the normal pressure range; if the reading is 2.8 bar or 1.8 bar, the tire pressure is judged to be too high or too low respectively.

[0081] Step 62: When the tire pressure is not within the pressure range, the tire to be detected is determined to be irregularly worn based on the tire pressure, and the wear area of ​​the tire to be detected is determined based on the tire pressure value. When the tire pressure is abnormal, the system directly determines that the tire has irregular wear, and further infers the wear area based on the specific tire pressure value. Steps 621 to 622 are specifically described.

[0082] Step 621: When the tire pressure is greater than the pressure range, the wear area of ​​the tire to be tested is the inner side of the tire to be tested.

[0083] For example, if the tire pressure reading is 2.8 bar, which is outside the preset range, the system determines that the inside of the tire may be under too much pressure due to overinflation, resulting in increased wear on the inside.

[0084] Step 622: When the tire pressure is less than the pressure range, the wear area of ​​the tire to be tested is the outer two sides of the tire to be tested.

[0085] For example, if the tire pressure reading is 1.8 bar, which is lower than the preset range, the system determines that the outer sides of the tire may be in contact with the ground due to under-inflation, resulting in increased wear on the outer sides.

[0086] Step 63: When the tire pressure is within the pressure range, the pressure detection data is processed based on the vehicle speed and the tire circumference to obtain the pressure detection cycle data at the average speed, and the wear type of the tire to be detected is determined based on the change of the pressure detection cycle data. Steps 631 to 635 are specifically described.

[0087] Step 631, process the pressure detection data based on the vehicle speed to obtain average pressure detection data. In actual driving, changes in vehicle speed will affect the contact pressure distribution between the tire and the ground, and further affect the tire's drainage capacity and drainage water velocity. In order to accurately analyze the wear type of the tire, it is necessary to adjust the pressure detection data at different vehicle speeds to the same reference speed to eliminate the impact of vehicle speed changes on the pressure detection data. This step processes the original pressure detection data through mathematical methods (such as interpolation and regression) so that all data are equivalent to the measurement results at a fixed speed (such as a standard test speed).

[0088] In a specific example, the standard test speed is 60km / h, and the tire pressure detection data of the vehicle at different speeds (such as 30km / h, 60km / h, and 90km / h) are recorded. Then, mathematical methods (such as linear interpolation) are used to adjust these data to equivalent values ​​at a speed of 60km / h. For example, for a certain pressure detection value at a speed of 30km / h, the system will calculate an equivalent pressure detection value at a speed of 60km / h based on its relationship with the pressure detection value at a speed of 60km / h. In this way, the data at all speeds are converted to equivalent data at a speed of 60km / h, which is convenient for subsequent analysis.

[0089] Step 632: Process the average pressure detection data based on the tire circumference as a period to determine pressure detection cycle data.

[0090] During the driving process, the pressure distribution of the tire will show periodic changes as the tire rotates. This step uses the circumference of the tire as the period, performs segmented processing on the average pressure detection data, extracts the data in each period separately, and forms the pressure detection period data. This allows a more intuitive observation of the changes in tire pressure as the rotation period progresses.

[0091] In a specific example, it is known that the circumference of the tire is 2 meters, and the average pressure detection data is segmented based on one rotation of the tire (ie, 2 meters).

[0092] Step 633: Determine whether the tire to be tested is regularly worn based on the change state of the pressure detection cycle data. Regular wear is usually manifested as stable and predictable changes in the tire pressure detection cycle data. Irregular wear may cause irregular fluctuations or abnormal changes in the data. This step preliminarily determines the type of tire wear by analyzing the change state of the pressure detection cycle data.

[0093] Step 634: When the pressure detection cycle data image is not stable, it is determined that the tire to be detected is irregularly worn. When the pressure detection cycle data image is not stable, that is, the data fluctuates greatly and irregularly, it usually indicates that the tire has irregular wear. This wear may be caused by factors such as tire imbalance, poor road conditions, driving habits, etc.

[0094] Step 635: When the pressure detection cycle data image is stable, it is determined that the tire to be detected is regularly worn. When the pressure detection cycle data image is stable, that is, the data changes regularly and the fluctuation is small, it usually indicates that the tire is regularly worn. This kind of wear is a natural phenomenon in the normal use of the tire and usually does not cause a significant decrease in tire performance.

[0095] In a specific example, observe the changes in the pressure detection cycle data. If the data shows stable periodic changes, it is judged that the tire is regularly worn. If the data fluctuates irregularly, such as a sudden increase or decrease in the data in multiple cycles, it may mean that the tire has irregular wear.

[0096] Step 64: When the tire to be tested is irregularly worn, the tire to be tested is processed based on the change status of the pressure detection cycle data to determine the wear area of ​​the tire to be tested.

[0097] Steps 641 to 645 are described in detail.

[0098] Step 641: Connect a pressure sensor based on the pressure distribution measurement system.

[0099] The pressure distribution measurement system is the basis for realizing tire pressure detection, and the pressure sensor is the core component of the system. First, ensure that the connection between the pressure distribution measurement system and the pressure sensor is stable and reliable, so as to accurately collect the pressure data of the tire during driving.

[0100] Step 642: determine an initial area based on the pressure sensor, and divide the tire area according to a preset number of divisions and the order of the tire's forward direction to determine a plurality of tire sub-areas.

[0101] In order to analyze the wear of the tire more accurately, the tire is divided into multiple sub-areas. Taking the pressure sensor as the reference point, the tire surface is divided into multiple equal-sized sub-areas along the forward direction of the tire according to the preset number of divisions (such as 4 or 8).

[0102] For example, taking the pressure sensor as the starting point, the tire surface is divided into four sub-areas, each of which occupies 1 / 4 of the tire circumference.

[0103] Step 643: When the pressure sensor passes through a preset trigger point, the pressure detection cycle data is intercepted to obtain a unit pressure detection cycle.

[0104] When the tire is in motion, the pressure sensor will continuously collect pressure data. In order to analyze the pressure changes in each sub-area of ​​the tire, this step sets a trigger point (such as the starting point of each rotation of the tire). When the pressure sensor passes through the trigger point, the pressure distribution measurement system will intercept a complete pressure detection cycle data as the unit pressure detection cycle. It should be noted that the unit pressure detection cycle is the data of the pressure distribution measurement system, not the data of the pressure sensor.

[0105] For example, the system sets the starting point of each rotation of the tire as the trigger point. When the pressure sensor passes this point, the pressure distribution measurement system automatically captures the pressure data from this point to the next trigger point, forming a unit pressure detection cycle.

[0106] Step 644: Process the unit pressure detection cycle based on the number of divisions to determine a plurality of sub-unit pressure detection cycles; wherein the plurality of sub-unit pressure detection cycles correspond one-to-one to the plurality of tire sub-regions.

[0107] In order to analyze the pressure change of each tire sub-region, the unit pressure detection cycle is further divided into multiple sub-unit pressure detection cycles. Each sub-unit pressure detection cycle corresponds to a tire sub-region, so that the pressure change of each sub-region can be analyzed separately.

[0108] For example, for a tire divided into four sub-regions, the unit pressure detection period is also divided into four sub-unit pressure detection periods, and each sub-unit pressure detection period corresponds to one tire sub-region.

[0109] Step 645: Mark the tire sub-region with wear greater than a preset wear threshold as a wear region.

[0110] By comparing the pressure parameters of each tire sub-area with a preset wear threshold, it is possible to identify which sub-areas have abnormally high pressures, thereby determining these sub-areas as wear areas.

[0111] For example, a wear threshold is set. Then the average pressure of each tire sub-area is compared with the threshold. If the average pressure of a sub-area is greater than the threshold, the system marks the sub-area as a wear area and displays it on the interface so that the driver and passengers can take timely measures to deal with it.

[0112] Step 7: Determine the optimal driving strategy for the vehicle to be tested based on the degree of wear, type of wear and road condition.

[0113] Step 71: Process the road surface condition based on a preset image processing model to determine the degree of water accumulation.

[0114] Road condition is one of the important factors affecting vehicle driving safety, especially water accumulation. The collected road images are processed through a preset image processing model to accurately identify and quantify the degree of water accumulation on the road.

[0115] For example, a convolutional neural network (CNN) is used as an image processing model to process road images captured by vehicle cameras in real time. Through model training, it is possible to automatically identify waterlogged areas in images and calculate the area and depth of waterlogged areas, thereby obtaining accurate waterlogging data to a certain extent.

[0116] Step 72: Determine the road friction coefficient by comparing the preset friction coefficient table based on the water accumulation degree and the detected terrain.

[0117] The road friction coefficient is an important indicator for evaluating the road's anti-skid ability. It is affected by many factors, including road material, humidity, temperature, etc. Combined with the information of water accumulation and detected terrain, the friction coefficient under current road conditions is determined by consulting the preset friction coefficient table.

[0118] Step 73: Compare the preset optimal driving recommendation model based on the road surface friction coefficient, wear degree and wear type to determine the optimal driving strategy for the vehicle to be tested.

[0119] In the specific example, an optimal driving strategy is determined based on the driving strategy recommendations output by the model and combined with other factors of the current driving environment (such as traffic conditions, weather conditions, etc.).

[0120] When the road friction coefficient is low and the tire wear is high, it is recommended to reduce the driving speed, increase the braking distance, and avoid aggressive driving behaviors such as sharp turns. Then, this strategy is output to the driver through the in-vehicle display or voice prompts so that they can adjust their driving behavior in time.

[0121] The above is an embodiment of the method proposed by the present invention. Based on the same inventive concept, the embodiment of the present invention also provides a new energy tire wear degree detection device for slippery roads, and its structure is as follows: Figure 2 shown.

[0122] Figure 2 The internal structure diagram of a new energy tire wear degree detection device for slippery roads provided by an embodiment of the present invention. Figure 2 As shown, the device includes:

[0123] at least one processor 201;

[0124] and, a memory 202 communicatively connected to the at least one processor;

[0125] The memory 202 stores instructions that can be executed by at least one processor, and the instructions are executed by at least one processor 201 to enable at least one processor 201 to:

[0126] Determine the tire to be tested and the vehicle to be tested, and determine the recommended installation area based on the model of the tire to be tested and the model of the vehicle to be tested; wherein the recommended installation area is used to install a preset pressure distribution measurement system, a pressure sensor and a temperature sensor are provided in the tire to be tested, and an image acquisition system is provided on the vehicle to be tested; install the pressure distribution measurement system on the vehicle to be tested based on the recommended installation area, and determine the relative position of the pressure distribution measurement system relative to the tire to be tested; obtain the road surface state in the driving direction of the vehicle to be tested based on the image acquisition system, and retrieve the vehicle state of the vehicle to be tested; wherein the vehicle state includes at least one of the following: speed, tire temperature and tire pressure, and the road surface condition includes at least one of the following: wet and dry; when the road surface condition is wet, the drainage condition of the tire to be tested is detected based on the pressure distribution measurement system to determine the pressure detection data; the vehicle speed, pressure detection data and relative position are processed based on a preset wear degree calculation formula to determine the wear degree of the tire to be tested; the vehicle speed, pressure detection data and tire pressure are processed based on a preset wear judgment algorithm to determine the wear type and wear area of ​​the tire to be tested; wherein the wear type includes regular wear and irregular wear; the preferred driving strategy of the vehicle to be tested is determined based on the wear degree, wear type and road surface condition.

[0127] Some embodiments of the present invention provide corresponding Figure 1 A non-volatile computer storage medium for detecting the wear degree of new energy tires on slippery roads stores computer executable instructions, and the computer executable instructions are set as follows:

[0128] Determine the tire to be tested and the vehicle to be tested, and determine the recommended installation area based on the model of the tire to be tested and the model of the vehicle to be tested; wherein the recommended installation area is used to install a preset pressure distribution measurement system, a pressure sensor and a temperature sensor are provided in the tire to be tested, and an image acquisition system is provided on the vehicle to be tested; install the pressure distribution measurement system on the vehicle to be tested based on the recommended installation area, and determine the relative position of the pressure distribution measurement system relative to the tire to be tested; obtain the road surface state in the driving direction of the vehicle to be tested based on the image acquisition system, and retrieve the vehicle state of the vehicle to be tested; wherein the vehicle state includes at least one of the following: speed, tire temperature and tire pressure, and the road surface condition includes at least one of the following: wet and dry; when the road surface condition is wet, the drainage condition of the tire to be tested is detected based on the pressure distribution measurement system to determine the pressure detection data; the vehicle speed, pressure detection data and relative position are processed based on a preset wear degree calculation formula to determine the wear degree of the tire to be tested; the vehicle speed, pressure detection data and tire pressure are processed based on a preset wear judgment algorithm to determine the wear type and wear area of ​​the tire to be tested; wherein the wear type includes regular wear and irregular wear; the preferred driving strategy of the vehicle to be tested is determined based on the wear degree, wear type and road surface condition.

[0129] Each embodiment of the present invention is described in a progressive manner, and the same or similar parts between the embodiments can be referred to each other, and each embodiment focuses on the differences from other embodiments. In particular, for the IoT device and medium embodiments, since they are basically similar to the method embodiments, the description is relatively simple, and the relevant parts can be referred to the partial description of the method embodiments.

[0130] The system and medium provided in the embodiments of the present invention correspond one-to-one to the method, and therefore, the system and medium also have similar beneficial technical effects to the corresponding methods. Since the beneficial technical effects of the methods have been described in detail above, the beneficial technical effects of the system and medium will not be repeated here.

[0131] Those skilled in the art will appreciate that embodiments of the present invention may be provided as methods, systems, or computer program products. Therefore, the present invention may take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware. Moreover, the present invention may take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0132] The present invention is described with reference to flowcharts and / or block diagrams of methods, devices (systems), and computer program products according to embodiments of the present invention. It should be understood that each process and / or block in the flowchart and / or block diagram, as well as the combination of processes and / or blocks in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0133] These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0134] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process. Figure 1 A process or multiple processes and / or boxes Figure 1 The steps for the functions specified in one or more boxes.

[0135] In a typical configuration, a computing device includes one or more processors (CPU), input / output interfaces, network interfaces, and memory.

[0136] The memory may include non-permanent storage in a computer-readable medium, random access memory (RAM) and / or non-volatile memory in the form of read-only memory (ROM) or flash RAM. The memory is an example of a computer-readable medium.

[0137] Computer readable media include permanent and non-permanent, removable and non-removable media that can be implemented by any method or technology to store information. Information can be computer readable instructions, data structures, program modules or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), static random access memory (SRAM), dynamic random access memory (DRAM), other types of random access memory (RAM), read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), flash memory or other memory technology, compact disk read-only memory (CD-ROM), digital versatile disk (DVD) or other optical storage, magnetic cassettes, magnetic tape magnetic disk storage or other magnetic storage devices or any other non-transmission media that can be used to store information that can be accessed by a computing device. As defined herein, computer readable media does not include temporary computer readable media (transitory media), such as modulated data signals and carrier waves.

[0138] It should also be noted that the terms "include", "comprises" or any other variations thereof are intended to cover non-exclusive inclusion, so that a process, method, commodity or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, commodity or device. In the absence of more restrictions, the elements defined by the sentence "comprises a ..." do not exclude the existence of other identical elements in the process, method, commodity or device including the elements.

[0139] The above are only embodiments of the present invention and are not intended to limit the present invention. For those skilled in the art, the present invention may have various modifications and variations. Any modification, equivalent substitution, improvement, etc. made within the spirit and principle of the present invention should be included in the scope of the claims of the present invention.

Claims

1. A method for detecting the wear degree of new energy tires on slippery roads, characterized in that: The method comprises: Determine a tire to be tested and a vehicle to be tested, and determine a recommended installation area based on the model of the tire to be tested and the model of the vehicle to be tested; wherein the recommended installation area is used to install a preset pressure distribution measurement system, a pressure sensor and a temperature sensor are provided in the tire to be tested, and an image acquisition system is provided in the vehicle to be tested; Installing the pressure distribution measurement system on the vehicle to be tested based on the recommended installation area, and determining a relative position of the pressure distribution measurement system with respect to the tire to be tested; Acquire the road surface condition in the driving direction of the vehicle to be detected based on the image acquisition system, and retrieve the vehicle state of the vehicle to be detected; wherein the vehicle state includes at least one of the following: vehicle speed, tire temperature and tire pressure, and the road surface condition includes at least one of the following: wet and dry; When the road surface is slippery, detecting the drainage condition of the tire to be detected based on the pressure distribution measurement system to determine pressure detection data; Processing the vehicle speed, the pressure detection data and the relative position based on a preset wear degree calculation formula to determine the wear degree of the tire to be detected; Processing the vehicle speed, the pressure detection data and the tire pressure based on a preset wear judgment algorithm to determine the wear type and wear area of ​​the tire to be detected; wherein the wear type includes regular wear and irregular wear; A preferred driving strategy of the vehicle to be detected is determined based on the wear degree, the wear type and the road surface condition.

2. The method for detecting the wear degree of new energy tires on slippery roads according to claim 1, characterized in that: Determining a tire to be tested and a vehicle to be tested, and determining a recommended installation area based on the model of the tire to be tested and the model of the vehicle to be tested, specifically includes: Determine a preset tilt angle range and a preset distance range; wherein the tilt angle range is the tilt angle range between the pressure distribution measurement system installed on the vehicle to be detected and the ground, and the distance range is the distance range between the pressure distribution measurement system installed on the vehicle to be monitored and the tire to be detected; Processing the model of the vehicle to be detected based on the tilt angle range to determine a first recommended installation area; wherein the first recommended installation area is an installation area determined based on the tilt angle range; Processing the model of the vehicle to be detected and the model of the tire to be monitored based on the distance range to determine a second recommended installation area, wherein the second recommended installation area is an installation area determined based on the distance range; The recommended installation area is determined based on the first recommended installation area and the second recommended installation area.

3. The method for detecting the wear degree of new energy tires on slippery roads according to claim 1, characterized in that: Acquiring the road surface state of the road surface in the driving direction of the vehicle to be detected based on the image acquisition system, and retrieving the vehicle state of the vehicle to be detected, specifically includes: Acquiring road surface image data of the road surface in the driving direction of the vehicle to be detected based on the image acquisition system; Based on the road surface image data, it is determined whether the road surface in the driving direction belongs to a preset detection terrain; wherein the detection terrain includes at least one of the following: cement road, asphalt road; When the road surface belongs to the detected terrain, processing the road surface image data based on a preset image recognition algorithm to determine the road surface state; Connect the vehicle to be detected to retrieve the vehicle speed, tire temperature and tire pressure of the vehicle to be detected.

4. The method for detecting the wear degree of new energy tires on slippery roads according to claim 1, characterized in that: Processing the road friction coefficient, the vehicle speed, the pressure detection data and the relative position based on a preset wear degree calculation formula to determine the wear degree of the tire to be detected specifically includes: Comparing the road surface condition with a preset simulation database to retrieve a speed-pressure formula corresponding to the pressure distribution measurement system of the tire to be tested in a wear-free state; processing the velocity-pressure formula based on the relative distance to determine an adaptive velocity-pressure formula; Substituting the speed of the tire into the adaptive speed-pressure formula to determine non-wear pressure detection data corresponding to the pressure distribution measurement system of the tire to be detected in a non-wear state; The non-wear pressure detection data is compared based on the pressure detection data to determine the wear degree of the tire to be detected.

5. The method for detecting the wear degree of new energy tires on slippery roads according to claim 1, characterized in that: Processing the vehicle speed, the pressure detection data, and the tire pressure based on a preset wear judgment algorithm to determine the wear type and wear area of ​​the tire to be detected specifically includes: Determining whether the tire to be tested is within a preset pressure range based on the tire pressure; When the tire pressure is not within the pressure range, determining that the tire to be detected is irregularly worn based on the tire pressure, and judging the wear area of ​​the tire to be detected based on the value of the tire pressure; When the tire pressure is within the pressure range, processing the pressure detection data based on the vehicle speed and the tire circumference to obtain pressure detection cycle data at an average speed, and determining the wear type of the tire to be detected based on a change in the pressure detection cycle data; When the tire to be detected is irregularly worn, the tire to be detected is processed based on the change status of the pressure detection cycle data to determine the wear area of ​​the tire to be detected.

6. The method for detecting the wear degree of new energy tires on slippery roads according to claim 5, characterized in that: When the tire pressure is not within the pressure range, determining that the tire to be detected is irregularly worn based on the tire pressure, and judging the wear area of ​​the tire to be detected based on the value of the tire pressure specifically includes: When the tire pressure is greater than the pressure range, the wear area of ​​the tire to be tested is the inner side of the tire to be tested; When the tire pressure is less than the pressure range, the wear area of ​​the tire to be tested is the outer two sides of the tire to be tested.

7. The method for detecting the wear degree of new energy tires on slippery roads according to claim 5, characterized in that: When the tire pressure is within the pressure range, the pressure detection data is processed based on the vehicle speed and the tire circumference to obtain pressure detection cycle data at an average speed, and the wear type of the tire to be detected is determined based on a change in the pressure detection cycle data, specifically including: processing the pressure detection data based on the vehicle speed to obtain average pressure detection data; Processing the average pressure detection data based on the tire circumference as a period to determine pressure detection cycle data; Determining whether the tire to be detected is regularly worn based on the change state of the pressure detection cycle data; When the pressure detection cycle data image is not stable, judging that the tire to be detected is irregularly worn; When the pressure detection period data image is stable, it is determined that the tire to be detected is regularly worn.

8. The method for detecting the wear degree of new energy tires on slippery roads according to claim 7, characterized in that: When the tire to be detected is irregularly worn, the tire to be detected is processed based on the change status of the pressure detection cycle data to determine the wear area of ​​the tire to be detected, specifically including: Connecting the pressure sensor based on the pressure distribution measurement system; Determine an initial area based on the pressure sensor, and divide the tire area according to a preset number of divisions and the tire forward direction as an order to determine a plurality of tire sub-areas; When the pressure sensor passes through a preset trigger point, intercepting the pressure detection cycle data to obtain a unit pressure detection cycle; Processing the unit pressure detection period based on the number of divisions to determine a plurality of sub-unit pressure detection periods; wherein the plurality of sub-unit pressure detection periods correspond one-to-one to the plurality of tire sub-regions; Tire sub-areas with wear greater than a preset wear threshold are marked as worn areas.

9. The method for detecting the wear degree of new energy tires on slippery roads according to claim 1, characterized in that: Determining the preferred driving strategy of the vehicle to be detected based on the wear degree, the wear type and the road surface condition specifically includes: Processing the road surface condition based on a preset image processing model to determine the degree of water accumulation; Comparing the water accumulation degree and the detected terrain with a preset friction coefficient table to determine the road friction coefficient; A preset preferred driving recommendation model is compared based on the road friction coefficient, the wear degree and the wear type to determine a preferred driving strategy for the vehicle to be detected.

10. A new energy tire wear degree detection device for slippery roads, characterized in that: The device comprises: at least one processor; and, a memory communicatively coupled to the at least one processor; The memory stores instructions that can be executed by the at least one processor, and the instructions are executed by the at least one processor to enable the at least one processor to: Determine a tire to be tested and a vehicle to be tested, and determine a recommended installation area based on the model of the tire to be tested and the model of the vehicle to be tested; wherein the recommended installation area is used to install a preset pressure distribution measurement system, a pressure sensor and a temperature sensor are provided in the tire to be tested, and an image acquisition system is provided in the vehicle to be tested; Installing the pressure distribution measurement system on the vehicle to be tested based on the recommended installation area, and determining a relative position of the pressure distribution measurement system with respect to the tire to be tested; Acquire the road surface condition in the driving direction of the vehicle to be detected based on the image acquisition system, and retrieve the vehicle state of the vehicle to be detected; wherein the vehicle state includes at least one of the following: vehicle speed, tire temperature and tire pressure, and the road surface condition includes at least one of the following: wet and dry; When the road surface is slippery, detecting the drainage condition of the tire to be detected based on the pressure distribution measurement system to determine pressure detection data; Processing the vehicle speed, the pressure detection data and the relative position based on a preset wear degree calculation formula to determine the wear degree of the tire to be detected; Processing the vehicle speed, the pressure detection data and the tire pressure based on a preset wear judgment algorithm to determine the wear type and wear area of ​​the tire to be detected; wherein the wear type includes regular wear and irregular wear; A preferred driving strategy of the vehicle to be detected is determined based on the wear degree, the wear type and the road surface condition.

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