A method, system and device for determining the type of vehicle tire

Abstract

The application provides a vehicle tire type determination method, system and device, relates to the technical field of vehicle tire detection, and can accurately identify the tire type on each axle of a vehicle, thereby providing accurate data for accurately determining whether the current vehicle is overloaded. The method comprises the following steps: acquiring vehicle characteristic information corresponding to the current axle of the vehicle when the current axle passes through a weighing system; selecting different determination decision makers according to the information types of the vehicle characteristic information, and analyzing the vehicle characteristic information by using the determination decision makers to obtain the tire type of the vehicle, and outputting a tire type judgment result and a confidence degree; wherein the confidence degree is used to indicate the accuracy of the tire type judgment result; and determining the final tire type of the current axle of the vehicle according to the obtained tire type judgment result or the combination of at least one group of tire type judgment results and confidence degrees.

Description

Technical Field

[0001] This application relates to the field of vehicle tire type detection technology, and in particular to a method, system and equipment for determining vehicle tire type. Background Technology

[0002] With the increasing mileage of highways in my country, road traffic safety has received increasing attention, especially the safety issues caused by overloaded freight vehicles. Currently, using information technology to address the problem of overloaded freight vehicles has become an important way to maintain road traffic safety. The dynamic weighing system on highways, as a crucial means of maintaining road traffic safety, automatically detects vehicle speed, axle load, number of axles, wheelbase, total vehicle weight, and transit time, automatically separating vehicles and forming a complete vehicle weighing record.

[0003] The weight limits for determining vehicle overload in national standards are primarily related to the number of axles and are influenced by the type of tires on each axle. Current dynamic weighing systems can identify axle types based on axle spacing, but in most cases, they cannot accurately identify the tire types on each axle, thus failing to accurately determine whether the vehicle is overloaded. Summary of the Invention

[0004] This application provides a method, system, and device for determining vehicle tire type, which can accurately identify the tire type on each axle of a vehicle, providing accurate data for determining whether the current vehicle is overloaded.

[0005] In a first aspect, this application provides a method for determining the tire type of a vehicle, comprising: acquiring vehicle feature information corresponding to the current axle of the vehicle passing through a weighing system; selecting different decision-making devices according to the information type of the vehicle feature information; and using the decision-making devices to analyze the vehicle feature information to obtain the tire type of the vehicle, and outputting a tire type determination result and a confidence level; wherein the confidence level is used to indicate the accuracy of the tire type determination result; and determining the final tire type of the current axle of the vehicle based on the obtained tire type determination result, or at least a combination of the tire type determination result and the confidence level.

[0006] This application embodiment, by selecting different decision-makers to determine the tire type of the vehicle's current axle based on the vehicle characteristic information obtained when the vehicle's current axle passes through the weighing system, can determine the final tire type by considering the tire type judgment results and confidence levels output by multiple decision-makers without adding other hardware devices such as sensors. This increases the dimension of tire type determination, effectively reduces the error rate of vehicle tire type determination without increasing costs, and accurately identifies the tire type on each axle of the vehicle, providing accurate data for accurately determining whether the current vehicle is overloaded.

[0007] In one embodiment, the decision-making unit includes a first decision-making unit, a second decision-making unit, and a third decision-making unit, and the vehicle feature information includes spatial feature information, pressure feature information, vehicle type information, and current axle information, wherein:

[0008] Based on the above spatial feature information, the first wheel width of the tire corresponding to the current axle of the vehicle is determined using the first decision-making device, and the tire type judgment result and confidence level of the current axle of the vehicle are determined and output based on the first wheel width. The above spatial feature information is the sensor position information triggered when the tire of the current axle of the vehicle passes over the weighing system.

[0009] Based on the pressure characteristic information, the second decision-making device is used to determine the second wheel width of the tire corresponding to the current axle of the vehicle, and the tire type judgment result and confidence level of the current axle of the vehicle are determined and output based on the second wheel width.

[0010] The aforementioned third decision-making unit is used to determine and output the tire type judgment result and confidence level of the current axle of the vehicle based on the aforementioned vehicle model information and the aforementioned current axle information.

[0011] In one embodiment, when the above tire type determination results are all the same, the above tire type determination results are taken as the final tire type of the current axle of the vehicle.

[0012] In one embodiment, determining the final tire type of the vehicle's current axle based on at least one set of tire type determination results and the aforementioned confidence level includes:

[0013] When there is a decision-making device whose output confidence level is greater than a predetermined threshold, the tire type judgment result output by the decision-making device whose confidence level is greater than the predetermined threshold shall be taken as the final tire type of the current axle of the vehicle.

[0014] When multiple decision decision units output confidence levels greater than a predetermined threshold and the corresponding tire type judgment results are the same, the tire type judgment result output by any decision decision unit with a confidence level greater than the predetermined threshold shall be taken as the final tire type of the current axle of the vehicle.

[0015] When multiple decision-makers output confidence levels greater than a predetermined threshold, and the tire type judgment results are not completely identical, the tire type judgment result with the most identical results is taken as the final tire type for the current axle of the vehicle.

[0016] In one embodiment, determining the final tire type of the vehicle's current axle based on at least one set of tire type judgment results and confidence levels includes:

[0017] When the confidence levels of all the above decision-making devices are not greater than a predetermined threshold and the tire type judgment results are not completely the same, a weighted score is calculated based on the confidence levels of multiple decision-making devices and the tire type judgment results to obtain at least one weighted score calculation result corresponding to the above tire type judgment result.

[0018] Based on at least one of the above tire type determination results and its corresponding weighted score calculation results, the final tire type of the vehicle's current axle is determined.

[0019] In one embodiment, when the confidence levels output by all the aforementioned decision-makers are not greater than a predetermined threshold and the tire type judgment results are not completely identical, a weighted score calculation is performed on the confidence levels output by multiple decision-makers and the tire type judgment results to obtain at least one weighted score calculation result corresponding to the tire type judgment result, including:

[0020] According to the weighted scoring formula, the confidence levels corresponding to the tire type judgment results output by multiple decision-makers are weighted and scored. The weighted scoring formula is as follows:

[0021]

[0022] Where P is the weighted score calculated based on the confidence level of the tire type judgment result being single (dual) tire; n is the number of decision decision units, i∈n; C i The output of the i-th decision decision is the confidence level (between 0 and 1) for single (double) tires, and n is the number of decision decision decisions.

[0023] In one embodiment, determining the final tire type of the vehicle's current axle based on at least one of the tire type determination results and its corresponding weighted score calculation result includes:

[0024] Compare the weighted score calculation result corresponding to the above tire type judgment result with the score threshold corresponding to the above tire type judgment result;

[0025] When the weighted score calculated based on the above tire type determination result is greater than the score threshold corresponding to the above tire type determination result, the above tire type determination result will be used as the final tire type for the current axle of the vehicle.

[0026] Secondly, this application provides a system for determining the type of vehicle tires, including:

[0027] The information acquisition unit is used to acquire vehicle characteristic information corresponding to the current axle of the vehicle passing through the weighing system.

[0028] The tire type prediction unit is used to select different decision-making devices based on the information type of the vehicle feature information, and to analyze the vehicle feature information using the decision-making devices to obtain the tire type of the vehicle, and output the tire type judgment result and confidence level; wherein, the confidence level is used to indicate the accuracy of the tire type judgment result.

[0029] The tire type determination unit is used to determine the final tire type of the current axle of the vehicle based on the obtained tire type determination results, or at least a combination of the above tire type determination results and the above confidence level.

[0030] Thirdly, this application provides a vehicle tire type determination device, including a processor, a memory, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, it implements the method described in the first aspect or any alternative method of the first aspect.

[0031] Fourthly, this application provides a computer-readable storage medium storing a computer program that, when executed by a processor, implements the method described in the first aspect or any alternative method of the first aspect.

[0032] Fifthly, embodiments of this application provide a computer program product that, when run on a vehicle tire type determination device, causes the vehicle tire type determination device to perform the steps of the vehicle tire type determination method described in the first aspect.

[0033] It is understood that the beneficial effects of the second to fifth aspects mentioned above can be found in the relevant descriptions in the first aspect mentioned above, and will not be repeated here. Attached Figure Description

[0034] To more clearly illustrate the technical solutions in the embodiments of this application, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of this application. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0035] Figure 1 This is a flowchart illustrating a method for determining vehicle tire type according to an embodiment of this application;

[0036] Figure 2 This is a flowchart illustrating a method for determining the final tire type of a vehicle's current axle, as provided in an embodiment of this application.

[0037] Figure 3 This is a schematic diagram of a vehicle tire type determination system provided in an embodiment of this application;

[0038] Figure 4 This is a schematic diagram of the structure of a vehicle tire type determination device provided in an embodiment of this application. Detailed Implementation

[0039] In the following description, specific details such as particular system architectures and techniques are set forth for illustrative purposes and not for limitation, in order to provide a thorough understanding of the embodiments of this application. However, those skilled in the art will understand that this application may also be implemented in other embodiments without these specific details. In other instances, detailed descriptions of well-known systems, circuits, and methods are omitted so as not to obscure the description of this application with unnecessary detail.

[0040] It should be understood that the term "and / or" as used in this application specification and the appended claims refers to any combination of one or more of the associated listed items, as well as all possible combinations, and includes such combinations. Furthermore, in the description of this application specification and the appended claims, the terms "first," "second," "third," etc., are used only for distinguishing descriptions and should not be construed as indicating or implying relative importance.

[0041] It should also be understood that references to "one embodiment" or "some embodiments" in this specification mean that one or more embodiments of this application include the specific features, structures, or characteristics described in connection with that embodiment. Therefore, the phrases "in one embodiment," "in some embodiments," "in other embodiments," "in still other embodiments," etc., appearing in different parts of this specification do not necessarily refer to the same embodiment, but rather mean "one or more, but not all, embodiments," unless otherwise specifically emphasized. The terms "comprising," "including," "having," and variations thereof mean "including but not limited to," unless otherwise specifically emphasized.

[0042] Before describing the method for determining vehicle tire type provided in the embodiments of this application, the weighing system, vehicle feature information, and determination decision-maker involved in the implementation of this application will be described by way of example.

[0043] A weighing system, also known as a dynamic weighing system, includes at least one sensor or sensor array. This sensor can be a multi-channel narrow strip sensor or other types of multi-channel sensors, such as stress / strain sensors / sensor arrays with fixed spacing. Each sensor contains multiple measurement units, each capable of independent measurement. Adjacent measurement units are spaced at a preset distance, and the structure of the measurement units on the same sensor is fixed. For example, considering that the contact width between a single tire and the ground ranges from 15cm to 30cm, and that of a dual tire ranges from 50cm to 60cm, the preset distance can be set to approximately 20cm, such as 16cm to 29cm. This ensures that triggering only one measurement unit confirms the vehicle tire type as a single tire, while triggering three consecutive measurement units confirms the vehicle tire type as a dual tire.

[0044] The weighing system can simultaneously measure real-time pressure at multiple locations. Sensors can be installed individually or in a predetermined layout. When installed individually, a single sensor (e.g., a multi-channel narrow strip sensor) or a group of sensors (e.g., a multi-channel sensor array) is positioned along the ground perpendicular to the driving direction. When multiple sensors are arranged in a predetermined layout, multiple groups of sensors are positioned along the ground perpendicular to the driving direction to reduce errors through multiple measurements. In this embodiment, the weighing system, through a supporting algorithm logic module, can provide vehicle type information, axle count information, and the correspondence between axles and sensors for vehicles passing through the weighing system.

[0045] Vehicle characteristic information refers to the vehicle-related characteristic information determined by the weighing system based on the relevant information it acquires when the vehicle passes through it. This includes spatial characteristic information, pressure characteristic information, and vehicle model information determined based on information such as the number of sensors the vehicle passes over, location information, pressure information, axle information, number of axles, correspondence between axles and sensors, and vehicle model information.

[0046] Among them, the spatial feature information specifically refers to the sensor position information triggered when the tires of the vehicle's current axle pass over the weighing system, including the number and location of the triggered sensors.

[0047] Axle information, including but not limited to the number of axles and their connection positions, etc. Given a specific vehicle model, the tire types on each axle follow certain statistical patterns; for example, the first axle typically has a single tire, while the last axle has dual tires.

[0048] The decision-making unit includes a first decision-making unit, a second decision-making unit, and a third decision-making unit. Different decision-making units are selected for different types of vehicle feature information to determine the tire type of the vehicle.

[0049] The first decision-making unit determines the first wheel width of the tire corresponding to the current axle of the vehicle based on spatial feature information, and then determines and outputs the tire type determination result and confidence level of the current axle based on this first wheel width. The spatial feature information referred to here is the sensor position information triggered when the tire of the current axle passes over the weighing system. Specifically, the sensor position information refers to the position information of each measuring unit within the sensor. By using the triggered sensor position information, the number of sensors triggered by the tire of the current axle can be determined. Combined with the spacing between the measuring units, the contact width between the tire of the current axle and the sensor can be calculated; this contact width is the first wheel width.

[0050] It should be noted that the first decision-making unit is trained based on a physical model. When a vehicle passes through the weighing system, each tire may cross the sensors in the system multiple times, such as multi-channel narrow strip sensors. The tire with the largest contact width is taken as the wheel width of the tire on the current axle. For example, if the tire crosses a sensor at most once, the wheel width of the tire on the current axle can be determined to be 1, meaning the tire is a single tire; if the tire crosses three or more sensors, the wheel width of the tire on the current axle can be determined to be greater than 2, meaning the tire is a dual tire; if the tire crosses two sensors, a confidence level for the tire type is given based on historical data, which is the accuracy rate of tire type determination. This confidence level, ranging from 0 to 1, indicates the accuracy of the tire type determination.

[0051] The second decision-making unit determines the second wheel width of the tire corresponding to the current axle of the vehicle based on the pressure characteristic information, and then determines and outputs the tire type judgment result and confidence level of the current axle based on the second wheel width. The pressure characteristic information referred to here includes, but is not limited to, the pressure extreme value, wheel weight, and waveform width when the current axle passes through the weighing system. The tire pressure of the tires on the current axle can be determined and calculated through the pressure characteristic information, that is, the pressure of the tire in contact with the ground. Under the condition of a certain wheel weight, the tire pressure is directly related to the tire contact length and the tire width. The wheel width of the tire corresponding to the current axle, that is, the second wheel width, can be determined from the pressure extreme value, wheel weight, waveform width, and other characteristic information.

[0052] It should be noted that the waveform width is the length of time the vehicle's tires pass over the sensor, that is, the length of time from when the vehicle's tires come into contact with the sensor to when they leave the sensor, which can also be called the vehicle's weighing / unweighing time.

[0053] It should also be noted that the second decision-making unit is a pre-trained classification model. Utilizing a large amount of historical data, vehicle feature information is used as input to the second decision-making unit, and the tire width (second wheel width) corresponding to this vehicle feature information is used as output. This is used to train the second decision-making unit, and the confidence score corresponding to the second wheel width of the trained output is statistically analyzed, which is the accuracy of tire type determination. This confidence score, ranging from 0 to 1, indicates the accuracy of the tire type determination. The classification model algorithm used here includes, but is not limited to, logistic classification, Support Vector Machine (SVM), decision tree, and other algorithms.

[0054] The vehicle tire type determination method provided in this application embodiment can be applied to a vehicle information detection system. This system can be installed at locations requiring vehicle information detection, such as in a non-on-site enforcement detection system where vehicle information needs to be detected before a vehicle enters a highway. Therefore, the vehicle information detection system can be installed at the highway entrance, or on a plaza or ramp before the highway entrance. This vehicle information detection system includes, but is not limited to, drive shaft information detection equipment and weighing equipment.

[0055] Please see Figure 1 , Figure 1 This is a flowchart illustrating a method for determining vehicle tire type according to an embodiment of this application, detailed below:

[0056] Step S101: Obtain vehicle feature information corresponding to the current axle of the vehicle passing through the weighing system.

[0057] In this embodiment, the vehicle characteristic information includes spatial characteristic information, pressure characteristic information, vehicle model information, and current axle information. When a vehicle passes through the weighing system, the vehicle tire type determination system acquires sensor information triggered by the tire corresponding to the current axle collected by the weighing system. This sensor information includes, but is not limited to, sensor number, sensor location, number of sensors, axle information, and pressure information. Simultaneously, the vehicle model information can be obtained through the weighing system. Based on the acquired sensor information and vehicle model information, the vehicle characteristic information corresponding to the current axle passing through the weighing system is determined.

[0058] It should be noted that for the same type of axle, the probability of the tire type appearing on each axle of each vehicle can be statistically analyzed. For example, for a 6-axle truck, the probability that the tire on the first axle, i.e. the axle at the front of the truck, is a single tire is 100%, while the probability that the tire on the sixth axle is a double tire is generally between 70% and 80%.

[0059] It should also be noted that the vehicles referred to here are large vehicles with multiple axles, such as trucks and buses.

[0060] Step S102: Select different decision-making devices according to the information type of the vehicle feature information, and use the decision-making devices to analyze the vehicle feature information to obtain the tire type of the vehicle, and output the tire type judgment result and confidence level.

[0061] In this embodiment, by using different decision-makers to analyze vehicle feature information of different information types, the tire type of the vehicle is obtained. This increases the determination dimension of the tire type, which can effectively reduce the error rate of vehicle tire type determination, accurately identify the tire type on each axle of the vehicle, and provide accurate data for accurately determining whether the current vehicle is overloaded.

[0062] In some embodiments of this application, when the vehicle feature information corresponding to the current axle of the vehicle passing through the weighing system is obtained, the vehicle feature information is parsed and classified, and the sensor trigger spatial feature information in the vehicle feature information is input into the first decision-making unit. This enables the vehicle tire type determination system to calculate the first wheel width of the tire corresponding to the current axle of the vehicle based on the spatial feature information and the first decision-making unit, and to determine and output the tire type determination result and confidence level of the current axle of the vehicle based on the first wheel width.

[0063] In some other embodiments of this application, when the vehicle feature information corresponding to the current axle of the vehicle passing through the weighing system is obtained, the vehicle feature information is parsed and classified, and the pressure feature information in the feature information triggered by the corresponding sensor of the vehicle is input into the second decision-making unit, so that the vehicle tire type determination system can determine the second wheel width of the tire corresponding to the current axle of the vehicle based on the pressure feature information, and determine and output the tire type determination result and confidence level of the current axle of the vehicle based on the second wheel width.

[0064] In other embodiments of this application, when the vehicle feature information corresponding to the current axle of the vehicle passing through the weighing system is obtained, the vehicle feature information is parsed and classified, and the vehicle model information and the current axle information in the vehicle feature information are input into the third decision-making unit, so that the vehicle tire type determination system can determine and output the tire type judgment result and confidence level of the current axle of the vehicle based on the vehicle model information and the current axle information.

[0065] It should be noted that before inputting vehicle feature information into different decision-making units, it is necessary to determine the identifier of the sensor triggered by the current axle based on the axle identifier, obtain the corresponding sensor information based on the sensor identifier, and determine the vehicle feature information corresponding to the current axle; then, the vehicle feature information corresponding to the current axle is sequentially input into different decision-making units to determine the tire type corresponding to the current axle.

[0066] Step S103: Based on the obtained tire type judgment results, or at least one combination of the above tire type judgment results and the above confidence level, determine the final tire type of the current axle of the vehicle.

[0067] In this embodiment of the application, there are at least two decision decision units. When there are multiple decision decision units, each decision decision unit outputs a set of tire type judgment results and confidence levels.

[0068] It should be noted that each decision-making unit outputs a tire type judgment result of either single tire or dual tire. By setting certain rules, the tire type judgment result with higher confidence and the confidence level are used as the output result of the decision-making unit. So when a decision-making unit judges the current axle to have a 56% probability of having a single tire, the corresponding probability of the current axle having a dual tire is 44%. The first decision-making unit will ultimately output a tire type judgment result of single tire with a confidence level of 56%.

[0069] It should also be noted that the confidence level in this application is used to indicate the accuracy of the tire type determination result. Its magnitude is related to vehicle characteristic information. Therefore, the confidence level is not fixed and can be updated through historical statistical data.

[0070] In some embodiments of this application, when all decision-making units output the same tire type determination result, that tire type determination result is directly taken as the final tire type of the vehicle's current axle. For example, when the tire type determination results output by the first, second, and third decision-making units are all single tires, the final tire type of the vehicle's current axle can be determined to be single tires. Similarly, when the tire type determination results output by the first, second, and third decision-making units are all dual tires, the final tire type of the vehicle's current axle can be determined to be dual tires, without needing further confirmation based on confidence level.

[0071] In this embodiment, when multiple decision-makers produce different tire type determination results, it is necessary to further confirm the final tire type of the vehicle's current axle based on the confidence level. When the confidence level is greater than a certain value, the tire type determination result corresponding to that confidence level can generally be considered accurate, and this tire type determination result with a confidence level greater than a certain value can be directly used as the final tire type of the current axle. Therefore, to facilitate the determination of the final tire type of the vehicle's current axle, a predetermined threshold can be set, the obtained confidence level can be compared with this predetermined threshold, and the final tire type of the vehicle's current axle can be determined based on the comparison result.

[0072] In some embodiments of this application, when the confidence level of a decision-making device output is greater than a predetermined threshold, the tire type judgment output by that decision-making device with a confidence level greater than the predetermined threshold is taken as the final tire type of the current axle of the vehicle. For example, if only one measurement unit is triggered on the current axle, and the tire type judgment result output by the first decision-making device is single tire, and its output confidence level is 100%, then the tire type judgment result output by the first decision-making device, i.e., single tire, can be directly taken as the final tire type of the current axle of the vehicle. As another example, when the confidence level exceeds the predetermined threshold, the output result of the decision-making device can be considered completely reliable. Assuming the predetermined threshold is 95%, when the confidence level corresponding to the judgment result output by one of the multiple decision-making devices is greater than 95% (e.g., 98%), the output results of other decision-making devices can be disregarded, and the tire type judgment result output by that decision-making device can be directly taken as the final tire type of the current axle.

[0073] In other embodiments of this application, when multiple decision-makers output confidence levels greater than a predetermined threshold and the corresponding tire type judgment results are the same, the tire type judgment result output by any decision-maker with a confidence level greater than the predetermined threshold is taken as the final tire type of the vehicle's current axle. For example, if the current decision-makers are a first decision-maker, a second decision-maker, and a third decision-maker, and the confidence levels output by the first and second decision-makers are both greater than the predetermined threshold, and both output tire type judgment results for a single tire, then the tire type judgment result output by either the first or the second decision-maker can be taken as the final tire type of the vehicle's current axle.

[0074] In some other embodiments of this application, when multiple decision-makers output confidence levels greater than a predetermined threshold and the tire type judgment results are not completely identical, the number of each tire type judgment result can be determined first. Then, according to the voting principle, the tire type judgment result with the most votes is taken as the final tire type of the current axle of the vehicle. For example, the tire type judgment result output by the first decision-maker is single tire with a confidence level of 90%, the tire type judgment result output by the second decision-maker is dual tire with a confidence level of 80%, and the tire type judgment result output by the third decision-maker is single tire with a confidence level of 99%. In this case, the tire type judgment results output by the first and third decision-makers are taken as the final tire type of the current axle of the vehicle. The output result of the second decision-maker is corrected and recorded to facilitate the correction and updating of the confidence level output by the second decision-maker after analyzing and judging the corresponding pressure feature information.

[0075] Please see Figure 2 , Figure 2 This is a flowchart illustrating a method for determining the final tire type of a vehicle's current axle, as provided in an embodiment of this application. Details are as follows:

[0076] Step S201: When the confidence levels output by all the above decision decision units are not greater than a predetermined threshold and the tire type judgment results are not completely the same, a weighted score calculation is performed based on the confidence levels output by multiple decision decision units and the tire type judgment results to obtain at least one weighted score calculation result corresponding to the above tire type judgment result.

[0077] In this embodiment of the application, when the confidence levels output by all decision-makers are not greater than a predetermined threshold and the tire type judgment results are not completely the same, in order to improve the accuracy of vehicle tire type judgment, it is necessary to perform a weighted score calculation on the tire type judgment results output by the multiple decision-makers to obtain a weighted score calculation result corresponding to the tire type judgment result output by the decision-makers.

[0078] Specifically, according to the weighted scoring formula, the confidence levels corresponding to the tire type judgment results output by multiple decision-makers are weighted and scored. The weighted scoring formula is as follows:

[0079]

[0080] Where P is the weighted score calculated based on the confidence level of the tire type judgment result being single (dual) tire; n is the number of decision decision units, i∈n; C i The output of the i-th decision decision is the confidence level (between 0 and 1) for single (double) tires, and n is the number of decision decision decisions.

[0081] It should be noted that since the tire type judgment result only has two possibilities, single tire or dual tire, the weighted score of the judgment result of any tire type (such as single tire) can be used to determine the final tire type of the current axle of the vehicle by weighting the tire type with a weighted score greater than 0.5.

[0082] It is understandable that the weighted scoring results are calculated for each tire type. That is, to calculate the confidence level of a single tire using this formula, C in the formula... i This represents the probability of a single birth in the output of the i-th decision maker.

[0083] In this embodiment of the application, if the tire type judgment result output by the first decision-making device is single tire with a corresponding confidence level of 78%, the tire type judgment result output by the second decision-making device is dual tire with a corresponding confidence level of 70%, and the tire type judgment result output by the third decision-making device is single tire with a corresponding confidence level of 65%, since the tire type judgment results output by the decision-making devices are inconsistent, it is necessary to first calculate the confidence level corresponding to single tire in the judgment result of the second decision-making device, and then calculate the weighted score of single tire based on the confidence level of each decision-making device.

[0084] In some embodiments of this application, the confidence levels corresponding to a smaller number of tire type judgment results can be processed to convert them into confidence levels corresponding to a larger number of tire type judgment results. For example, if the first decision-maker outputs a tire type judgment result of "single tire" with a confidence level of 75%, and the second and third decision-makers output a tire type judgment result of "dual tire" with confidence levels of 71% and 65% respectively, then the tire type judgment result of the first decision-maker can be converted to "dual tire" with a confidence level of 25%, and then the weighted scoring formula described above can be used for calculation. Alternatively, the confidence levels corresponding to a larger number of tire type judgment results can be processed simultaneously to convert them into confidence levels corresponding to a smaller number of tire type judgment results, and then the weighted scoring formula described above can be used for calculation.

[0085] In some other embodiments of this application, the vehicle tire type corresponding to a relatively low confidence level is converted to the vehicle tire type corresponding to the highest confidence level. For example, if the tire type judgment result output by the first decision-making unit is single tire with a confidence level of 70%, the tire type judgment result output by the second decision-making unit is dual tire with a confidence level of 60%, and the tire type judgment result output by the third decision-making unit is single tire with a confidence level of 65%, then the tire type judgment result output by the second decision-making unit can be converted to single tire, corresponding to a confidence level of 40%, and then the above-mentioned weighted scoring formula can be used for calculation. Alternatively, the vehicle tire type corresponding to a relatively high confidence level can be converted to the vehicle tire type corresponding to the lowest confidence level, and then the above-mentioned weighted scoring formula can be used for calculation.

[0086] Step S202: Determine the final tire type of the vehicle's current axle based on at least one of the above tire type judgment results and its corresponding weighted score calculation results.

[0087] In this embodiment of the application, the final tire type of the current axle of the vehicle is determined based on the tire type judgment result and its corresponding weighted score calculation result. For example, the final tire type of the current axle of the vehicle is determined based on the tire type judgment result of being determined to be a single tire and its corresponding weighted score calculation result, or based on the tire type judgment result of being determined to be a dual tire and its corresponding weighted score calculation result.

[0088] After calculating the weighted score corresponding to the tire type determination result, the weighted score is compared with the scoring threshold corresponding to the tire type determination result. When the weighted score corresponding to the tire type determination result is greater than the scoring threshold corresponding to the tire type determination result, the tire type determination result is taken as the final tire type of the current axle of the vehicle.

[0089] It should be noted that the scoring threshold is a value greater than 50% but less than 100%. When the judgment result of a certain tire type and its corresponding weighted score calculation result are greater than the scoring threshold, the current tire type judgment result can be determined as the final tire type of the current axle of the vehicle. Otherwise, the tire type judgment result opposite to that of the current tire type judgment result will be taken as the final tire type of the current axle of the vehicle. In this embodiment of the application, by selecting different decision-makers to judge the tire type of the current axle of the vehicle based on the vehicle feature information corresponding to the current axle of the vehicle when it passes through the weighing system, the final tire type can be determined from the tire type judgment results and confidence levels output by multiple decision-makers without adding other hardware devices such as sensors. That is, the dimension of tire type judgment is increased. Without increasing costs, the error rate of vehicle tire type judgment can be effectively reduced, and the tire type on each axle of the vehicle can be accurately identified, providing accurate data for accurately determining whether the current vehicle is overloaded.

[0090] It should be understood that the sequence number of each step in the above embodiments does not imply the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of this application.

[0091] Based on the vehicle tire type determination method provided in the above embodiments, this application further provides a system embodiment for implementing the above method embodiments.

[0092] The vehicle tire type determination system provided in this application embodiment can be integrated with a weighing system and applied to a vehicle information detection system, or it can be applied independently to a vehicle information detection system. It obtains relevant information, such as vehicle feature information, from the vehicle information detection system to determine the vehicle tire type without the need for additional equipment to obtain relevant information, thus reducing the cost of vehicle detection.

[0093] Please see Figure 3 , Figure 3 This is a schematic diagram of a vehicle tire type determination system provided in an embodiment of this application. The included units are used for execution... Figure 1 The steps in the corresponding embodiments. Please refer to the details. Figure 1 The relevant descriptions in the corresponding embodiments are shown below. For ease of explanation, only the parts relevant to this embodiment are shown. See also... Figure 3 The vehicle tire type determination system 3 includes:

[0094] Information acquisition unit 31 is used to acquire vehicle characteristic information corresponding to the current axle of the vehicle passing through the weighing system;

[0095] The tire type prediction unit 32 is used to select different decision-making devices based on the information type of the vehicle feature information, and to use the decision-making devices to analyze the vehicle feature information to obtain the tire type of the vehicle, and output the tire type judgment result and confidence level; wherein, the confidence level is used to indicate the accuracy of the tire type judgment result.

[0096] The tire type determination unit 33 is used to determine the final tire type of the current axle of the vehicle based on the obtained tire type determination results, or at least a combination of the above tire type determination results and the above confidence level.

[0097] For example, the aforementioned decision-making unit includes a first decision-making unit, a second decision-making unit, and a third decision-making unit; the aforementioned vehicle feature information includes spatial feature information, pressure feature information, vehicle model information, and current axle information; and the tire type prediction unit 32 includes:

[0098] The first tire type prediction subunit is used to determine the first wheel width of the tire corresponding to the current axle of the vehicle based on the above spatial feature information and the first decision-making device, and to determine and output the tire type judgment result and confidence level of the current axle of the vehicle based on the first wheel width, wherein the above spatial feature information is the sensor position information triggered when the tire of the current axle of the vehicle passes over the weighing system.

[0099] The second tire type prediction subunit is used to determine the second wheel width of the tire corresponding to the current axle of the vehicle based on the pressure characteristic information and the second decision-making unit, and to determine and output the tire type judgment result and confidence level of the current axle of the vehicle based on the second wheel width.

[0100] The third tire type prediction subunit is used by the third decision-making unit to determine and output the tire type judgment result and confidence level of the current axle of the vehicle based on the vehicle model information and the current axle information.

[0101] For example, the tire type determination unit 33 is specifically used for:

[0102] When the above tire type determination results are all the same, the above tire type determination results shall be used as the final tire type of the current axle of the vehicle.

[0103] For example, the tire type determination unit 33 is further used for:

[0104] If there is a decision-making device whose confidence level is greater than a predetermined threshold, the tire type judgment result of the decision-making device whose confidence level is greater than the predetermined threshold shall be used as the final tire type of the current axle of the vehicle.

[0105] When multiple decision-makers output a confidence level greater than a predetermined threshold and the tire type judgment results are the same, the tire type judgment result output by any decision-maker with a confidence level greater than the predetermined threshold shall be taken as the final tire type of the vehicle's current axle.

[0106] When multiple decision-makers output confidence levels greater than a predetermined threshold and the tire type judgment results are not completely identical, the tire type judgment result with the most identical results is taken as the final tire type for the current axle of the vehicle.

[0107] For example, the tire type determination unit 33 is further used for:

[0108] When the confidence levels output by multiple decision-makers are all no greater than a predetermined threshold and the tire type judgment results are not completely the same, a weighted score is calculated based on the confidence levels output by multiple decision-makers and the tire type judgment results to obtain at least one weighted score calculation result corresponding to the tire type judgment result.

[0109] Based on at least one of the above tire type determination results and its corresponding weighted score calculation results, the final tire type of the vehicle's current axle is determined.

[0110] For example, the tire type determination unit 33 is further used for:

[0111] According to the weighted scoring formula, the confidence levels corresponding to the tire type judgment results output by multiple decision-makers are weighted and scored. The weighted scoring formula is as follows:

[0112]

[0113] Where P is the weighted score calculated based on the confidence level of the tire type judgment result being single (dual) tire; n is the number of decision decision units, i∈n; C i The output of the i-th decision decision is the confidence level (between 0 and 1) for single (double) tires, and n is the number of decision decision decisions.

[0114] For example, the tire type determination unit 33 is further used for:

[0115] Compare the weighted score calculation result corresponding to the above tire type judgment result with the score threshold corresponding to the above tire type judgment result;

[0116] When the weighted score calculated based on the above tire type determination result is greater than the score threshold corresponding to the above tire type determination result, the above tire type determination result will be used as the final tire type for the current axle of the vehicle.

[0117] It should be noted that the information interaction and execution process between the above modules are based on the same concept as the method embodiments of this application. For details on their specific functions and technical effects, please refer to the method embodiments section, which will not be repeated here.

[0118] Figure 4 This is a schematic diagram of a vehicle tire type determination device provided in an embodiment of this application. Figure 4 As shown, the vehicle tire type determination device 4 in this embodiment includes: a processor 40, a memory 41, and a computer program 42 stored in the memory 41 and executable on the processor 40, such as a voice recognition program. When the processor 40 executes the computer program 42, it implements the steps in the various vehicle tire type determination method embodiments described above, for example... Figure 1 Steps 101-103 are shown. Alternatively, when processor 40 executes computer program 42, it implements the functions of each module / unit in the above system embodiments, for example... Figure 3 The functions of units 31-33 shown.

[0119] For example, the computer program 42 can be divided into one or more modules / units, one or more of which are stored in the memory 41 and executed by the processor 40 to complete this application. The one or more modules / units can be a series of computer program instruction segments capable of performing specific functions, which describe the execution process of the computer program 42 in the vehicle tire type determination device 4. For example, the computer program 42 can be divided into an information acquisition unit 31, a tire type prediction unit 32, and a tire type determination unit 33. For the specific functions of each unit, please refer to [link to relevant documentation]. Figure 1 The relevant descriptions in the corresponding embodiments are not repeated here.

[0120] The vehicle tire type determination device may include, but is not limited to, a processor 40 and a memory 41. Those skilled in the art will understand that... Figure 4 This is merely an example of the vehicle tire type determination device 4 and does not constitute a limitation on the vehicle tire type determination device 4. It may include more or fewer components than shown, or combine certain components, or different components. For example, the vehicle tire type determination device may also include input / output devices, network access devices, buses, etc.

[0121] The processor 40 may be a Central Processing Unit (CPU), or other general-purpose processors, digital signal processors (DSPs), application-specific integrated circuits (ASICs), field-programmable gate arrays (FPGAs), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. A general-purpose processor may be a microprocessor or any conventional processor.

[0122] The memory 41 can be an internal storage unit of the vehicle tire type determination device 4, such as a hard disk or memory of the vehicle tire type determination device 4. The memory 41 can also be an external storage device of the vehicle tire type determination device 4, such as a plug-in hard disk, smart media card (SMC), secure digital (SD) card, flash card, etc., equipped on the vehicle tire type determination device 4. Furthermore, the memory 41 can include both internal and external storage units of the vehicle tire type determination device 4. The memory 41 is used to store computer programs and other programs and data required by the vehicle tire type determination device. The memory 41 can also be used to temporarily store data that has been output or will be output.

[0123] This application also provides a computer-readable storage medium storing a computer program, which, when executed by a processor, can implement the above-described method for determining vehicle tire type.

[0124] This application provides a computer program product that, when run on a vehicle tire type determination device, enables the vehicle tire type determination device to implement the aforementioned vehicle tire type determination method.

[0125] Those skilled in the art will clearly understand that, for the sake of convenience and brevity, the above-described division of functional units and modules is merely an example. In practical applications, the above functions can be assigned to different functional units and modules as needed, that is, the internal structure of the system can be divided into different functional units or modules to complete all or part of the functions described above. The functional units and modules in the embodiments can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit. The integrated unit can be implemented in hardware or as a software functional unit. Furthermore, the specific names of the functional units and modules are only for easy differentiation and are not intended to limit the scope of protection of this application. The specific working process of the units and modules in the above system can be referred to the corresponding process in the foregoing method embodiments, and will not be repeated here.

[0126] In the above embodiments, the descriptions of each embodiment have different focuses. For parts that are not described in detail or recorded in a certain embodiment, please refer to the relevant descriptions of other embodiments.

[0127] Those skilled in the art will recognize that the units and algorithm steps of the various examples described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are implemented in hardware or software depends on the specific application and design constraints of the technical solution. Those skilled in the art can use different methods to implement the described functions for each specific application, but such implementation should not be considered beyond the scope of this application.

[0128] The above-described embodiments are only used to illustrate the technical solutions of this application, and are not intended to limit them. Although this application has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some of the technical features. Such modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of this application, and should all be included within the protection scope of this application.

Claims

1. A method for determining the type of vehicle tires, characterized in that, The method includes: Obtain vehicle characteristic information corresponding to the current axle of the vehicle passing through the weighing system; Different decision-makers are selected based on the information type of the vehicle feature information, and the tire type of the vehicle is obtained by analyzing the vehicle feature information using the decision-makers, and the tire type judgment result and confidence level are output; wherein, the confidence level is used to indicate the accuracy of the tire type judgment result; Based on the obtained tire type determination result, or at least a combination of the tire type determination result and the confidence level, determine the final tire type of the vehicle's current axle; The decision-making unit includes a first decision-making unit, a second decision-making unit, and a third decision-making unit. The vehicle feature information includes spatial feature information, pressure feature information, vehicle model information, and current axle information. Based on the spatial feature information, the first decision-making unit determines the first wheel width of the tire corresponding to the current axle of the vehicle, and determines and outputs the tire type judgment result and confidence level of the current axle of the vehicle based on the first wheel width. The spatial feature information is the sensor position information triggered when the tire of the current axle of the vehicle passes over the weighing system. Based on the pressure feature information, the second decision-making unit determines the second wheel width of the tire corresponding to the current axle of the vehicle, and determines and outputs the tire type judgment result and confidence level of the current axle of the vehicle based on the second wheel width. The third decision-making unit is used to determine and output the tire type judgment result and confidence level of the current axle of the vehicle based on the vehicle model information and the current axle information.

2. The method for determining vehicle tire type as described in claim 1, characterized in that, When all the tire type determination results are the same, the tire type determination result shall be taken as the final tire type of the current axle of the vehicle.

3. The method for determining vehicle tire type as described in claim 1, characterized in that, Based on a combination of at least one set of tire type determination results and the confidence level, the final tire type for the current axle of the vehicle is determined, including: When there is a decision-making device whose output confidence level is greater than a predetermined threshold, the tire type judgment result output by the decision-making device whose confidence level is greater than the predetermined threshold shall be taken as the final tire type of the current axle of the vehicle. When multiple decision decision units output confidence levels greater than a predetermined threshold and the tire type determination results are the same, the tire type determination result output by any decision decision unit with a confidence level greater than the predetermined threshold shall be taken as the final tire type of the current axle of the vehicle. When multiple decision-makers output confidence levels greater than a predetermined threshold, and the tire type judgment results are not completely identical, the tire type with the most identical tire type judgment results is taken as the final tire type for the current axle of the vehicle.

4. The method for determining vehicle tire type as described in claim 1, characterized in that, Based on at least one set of tire type determination results and the confidence level, the final tire type of the vehicle's current axle is determined, including: When the confidence level output by all the decision decision units is not greater than a predetermined threshold and the tire type judgment results are not completely the same, a weighted score calculation is performed based on the confidence level output by multiple decision decision units and the tire type judgment results to obtain a weighted score calculation result corresponding to at least one tire type judgment result. The final tire type of the vehicle's current axle is determined based on at least one of the tire type determination results and its corresponding weighted score calculation results.

5. The method for determining vehicle tire type as described in claim 4, characterized in that, When the confidence levels output by all the decision-makers are not greater than a predetermined threshold and the tire type judgment results are not completely identical, a weighted score is calculated by combining the confidence levels output by multiple decision-makers and the tire type judgment results to obtain a weighted score calculation result corresponding to at least one tire type judgment result, including: According to the weighted scoring formula, the confidence levels corresponding to the tire type judgment results output by multiple decision-makers are weighted and scored. The weighted scoring formula for the tire type judgment result is as follows: in, The weighted score calculation result corresponding to the confidence level of the tire type judgment result, wherein the tire type is a single tire or a dual tire; To determine the number of decision-makers, i∈n; The confidence level is the output of the i-th decision-maker as either a single or twin tire, where the confidence level is between 0 and 1, and n is the number of decision-makers.

6. The method for determining vehicle tire type as described in claim 4, characterized in that, The step of determining the final tire type of the vehicle's current axle based on at least one tire type determination result and its corresponding weighted score calculation result includes: The weighted score calculation result corresponding to the tire type determination result is compared with the score threshold corresponding to the tire type determination result. When the weighted score calculation result corresponding to the tire type determination result is greater than the score threshold corresponding to the tire type determination result, the tire type determination result is taken as the final tire type of the current axle of the vehicle.

7. A system for determining vehicle tire type, characterized in that, The system includes: The information acquisition unit is used to acquire vehicle characteristic information corresponding to the current axle of the vehicle passing through the weighing system. The tire type prediction unit is used to select different decision-making devices based on the information type of the vehicle feature information, and to use the decision-making devices to analyze the vehicle feature information to obtain the tire type of the vehicle, and output the tire type judgment result and confidence level; wherein, the confidence level is used to indicate the accuracy of the tire type judgment result; A tire type determination unit is used to determine the final tire type of the current axle of the vehicle based on the obtained tire type determination result, or at least a combination of the tire type determination result and the confidence level. The decision-making unit includes a first decision-making unit, a second decision-making unit, and a third decision-making unit. The vehicle feature information includes spatial feature information, pressure feature information, vehicle model information, and current axle information. Based on the spatial feature information, the first decision-making unit determines the first wheel width of the tire corresponding to the current axle of the vehicle, and determines and outputs the tire type judgment result and confidence level of the current axle of the vehicle based on the first wheel width. The spatial feature information is the sensor position information triggered when the tire of the current axle of the vehicle passes over the weighing system. Based on the pressure feature information, the second decision-making unit determines the second wheel width of the tire corresponding to the current axle of the vehicle, and determines and outputs the tire type judgment result and confidence level of the current axle of the vehicle based on the second wheel width. The third decision-making unit is used to determine and output the tire type judgment result and confidence level of the current axle of the vehicle based on the vehicle model information and the current axle information.

8. A device for determining the type of vehicle tires, characterized in that, The device includes a processor, a memory, and a computer program stored in the memory and executable on the processor, characterized in that the processor, when executing the computer program, implements the method for determining the type of vehicle tires as described in any one of claims 1 to 6.

9. A computer-readable storage medium storing a computer program, characterized in that, When the computer program is executed by the processor, it implements the method for determining the vehicle tire type as described in any one of claims 1 to 6.

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