A method, device and equipment for monitoring temperature in a tire

Abstract

The present application provides a method, device and equipment for monitoring temperature inside the tire, which belongs to the field of tire monitoring technology. The method determines the first monitoring temperature data set corresponding to several grid temperature measurement areas on the inner surface of the tire based on the panoramic temperature monitoring module; generates the first monitoring temperature curve of each axial annular area according to multiple axial annular areas and the first monitoring temperature data set. Based on each first monitoring temperature curve and historical monitoring temperature data, and a preset abnormal temperature evaluation algorithm, an abnormal temperature evaluation value is determined to obtain a first temperature abnormality area; the first monitoring temperature curve group is input into a pre-trained DBSCAN model to determine the temperature abnormality merged area and the second monitoring temperature curve; based on the second monitoring temperature curve and the preset tire circumferential positioning rules, the second temperature abnormality area on the inner surface of the tire is determined, so as to generate early warning information according to the second temperature abnormality area, and send it to the user terminal to continuously monitor and warn the temperature inside the tire.

Description

Technical Field

[0001] The present application relates to the field of tire monitoring technology, and in particular to a method, device and equipment for monitoring tire temperature. Background Art

[0002] Tires are an important part of vehicles such as automobiles, and their performance is directly related to the safety and driving stability of the vehicle. During the use of tires, the temperature of the tires will change due to friction, wear, changes in air pressure, and external environmental factors (such as temperature and humidity). In particular, the temperature of the inner surface of the tire is more complex and difficult to monitor directly because it is directly affected by factors such as the heat generated by the friction between the tire and the ground and the air flow inside the tire.

[0003] Traditional tire temperature monitoring methods mainly rely on external temperature sensors and other equipment, which have many shortcomings. For example, external temperature sensors can usually only measure the temperature of the outer surface of the tire and cannot accurately reflect the temperature condition of the inner surface of the tire; or they can only measure the temperature of the tire valve part, which is not accurate enough and relatively lagging, and the measurement accuracy and stability are limited.

[0004] In addition, with the development of intelligent transportation and vehicle networking technology, higher requirements are placed on the real-time, accuracy and intelligence level of tire temperature monitoring. Traditional monitoring methods can only provide a single temperature value or a simple temperature change trend, which cannot meet the needs of accurate tire temperature monitoring and abnormal warning. Summary of the invention

[0005] The embodiments of the present application provide a tire temperature monitoring method, device and equipment, which are used to solve the technical problem that traditional monitoring methods are difficult to accurately and stably measure tire temperature and cannot meet the requirements of accurate tire temperature monitoring and abnormal warning, thereby providing real-time, accurate and comprehensive tire temperature information, and being able to issue early warning prompts in time according to temperature data to help users promptly discover and deal with abnormal tire temperature problems, thereby improving the safety of tire use and extending the service life.

[0006] On the one hand, an embodiment of the present application provides a method for monitoring temperature in a tire, the method comprising:

[0007] Based on a panoramic temperature monitoring module pre-set on the rim surface, determining a first monitoring temperature data set corresponding to a plurality of grid temperature measurement areas on the inner surface of the tire;

[0008] Generate a first monitoring temperature curve corresponding to each of the axial annular areas according to the plurality of axial annular areas and the first monitoring temperature data set; wherein the axial annular area takes the length of the corresponding grid temperature measurement area along the axial direction of the tire as the annular thickness, and forms a closed circular area on the inner surface of the tire;

[0009] Based on each of the first monitoring temperature curves and the historical monitoring temperature data and a preset abnormal temperature evaluation algorithm, determining an abnormal temperature evaluation value corresponding to each of the first monitoring temperature curves, so as to determine a first temperature abnormality area according to the abnormal temperature evaluation value;

[0010] Inputting the first monitoring temperature curve group corresponding to each of the first temperature anomaly regions into a pre-trained DBSCAN model to determine a temperature anomaly merged region, and generating a second monitoring temperature curve corresponding to the temperature anomaly merged region;

[0011] Based on the second monitoring temperature curve and the preset tire circumferential positioning rule, the second temperature abnormality area on the inner surface of the tire is determined, and early warning prompt information is generated according to the second temperature abnormality area and sent to the user terminal to continuously monitor and warn the temperature inside the tire.

[0012] In one implementation of the present application, the panoramic temperature monitoring module is composed of a plurality of infrared temperature measurement modules or a plurality of image acquisition modules;

[0013] Before determining the first monitoring temperature data set corresponding to a plurality of grid temperature measurement areas on the inner surface of the tire based on the panoramic temperature monitoring module pre-set on the rim surface, the method further includes:

[0014] In the case where the panoramic temperature monitoring module is composed of a plurality of the infrared temperature measurement modules, a plurality of inner surface division areas corresponding to the tire specification information and a division grid size corresponding to each of the inner surface division areas are determined; wherein each of the inner surface division areas corresponds to an inner surface of each tire part; the tire parts include at least: tire toe, tire sidewall, tire shoulder and tire crown;

[0015] According to each of the divided grid sizes, the corresponding inner surface divided areas are respectively divided into grids to generate a plurality of the grid temperature measurement areas;

[0016] Alternatively, before determining the first monitoring temperature data set corresponding to a plurality of grid temperature measurement areas on the inner surface of the tire based on the panoramic temperature monitoring module pre-set on the rim surface, the method further includes:

[0017] In the case where the panoramic temperature monitoring module is composed of a plurality of the image acquisition modules, the divided grid groups corresponding to the plurality of inner surface divided areas corresponding to the inner surface of the tire are determined according to the groups of temperature indicating label information pre-appointed on the inner surface of the tire, so as to obtain a plurality of the grid temperature measurement areas according to the grid areas corresponding to the divided grid groups; wherein, a group of the temperature indicating label information corresponds to one inner surface divided area; the temperature indicating label information at least includes the appearance information of the temperature indicating label and the application position of the temperature indicating label; there is an association between the appearance information of the temperature indicating label and the corresponding inner surface divided area; and one inner surface divided area includes a plurality of temperature indicating labels.

[0018] In one implementation of the present application, a temperature indicating label at least includes a reversible temperature indicating area corresponding to a plurality of stepped temperature intervals; different stepped temperature intervals of the reversible temperature indicating area correspond to different temperature indicating sub-areas, and the temperature indicating sub-areas change color under the temperature conditions of the corresponding stepped temperature intervals;

[0019] The number of the infrared temperature measurement modules or the image acquisition modules is at least two, and they are evenly arranged along the circumference of the rim surface to collect surface data at various positions on the inner surface of the tire to obtain panoramic surface data; wherein the surface data is an infrared radiation signal on the inner surface of the tire or an image of the temperature indication label on the inner surface of the tire.

[0020] In an implementation of the present application, generating first monitoring temperature curves corresponding to the axial annular regions respectively according to the plurality of axial annular regions and the first monitoring temperature data set specifically includes:

[0021] Determine the acquisition correspondence between the axial annular area and each first monitoring temperature data in the first monitoring temperature data set, so as to determine the associated first monitoring temperature data corresponding to the axial annular area according to the acquisition correspondence; wherein the acquisition correspondence is obtained based on the data acquisition position;

[0022] According to the relative position relationship of each of the grid temperature measurement areas corresponding to the axial annular area, the corresponding associated first monitoring temperature data are added in sequence to the preset plane rectangular coordinate system to generate the first monitoring temperature curve; the horizontal axis of the preset plane rectangular coordinate system is the annular circumference of the axial annular area, and the vertical axis is the temperature value corresponding to the first monitoring temperature data.

[0023] In one implementation of the present application, based on each of the first monitoring temperature curves and the historical monitoring temperature data and a preset abnormal temperature evaluation algorithm, determining the abnormal temperature evaluation value corresponding to each of the first monitoring temperature curves specifically includes:

[0024] Based on each of the first monitored temperature curves, calculating the temperature anomaly parameters corresponding to each of the axial annular regions;

[0025] Determine the temperature rise rate and the maximum monitored temperature value corresponding to the axial annular area according to the first monitored temperature curve and the corresponding historical monitored temperature data;

[0026] Taking the natural constant as the base and the inverse of the difference between the maximum monitored temperature value and the preset tire thermal tolerance temperature threshold as the exponent, a corresponding exponential power is obtained, and the reciprocal of the sum of the exponential power and 1 is used as the temperature tolerance parameter;

[0027] The product value of the temperature abnormality parameter, the temperature rise rate and the temperature tolerance parameter is used as the abnormal temperature evaluation value.

[0028] In an implementation of the present application, based on each of the first monitoring temperature curves, calculating the temperature anomaly parameters corresponding to each of the axial annular regions, specifically includes:

[0029] Calculating, according to each curve value of the first monitoring temperature curve, an average monitoring temperature value corresponding to each of the grid temperature measurement areas of the axial annular area;

[0030] Calculate the square value of the difference between each of the curve values ​​and the average monitored temperature value, calculate the sum of the square values ​​of the difference, and use the square root of the sum as the first parameter value;

[0031] The product value of the number of the grid temperature measurement areas of the corresponding axial annular area and the preset tire inner surface temperature fluctuation standard deviation is used as the second parameter value;

[0032] The result of dividing the first parameter value by the second parameter value is used as the temperature anomaly parameter corresponding to the corresponding axial annular area.

[0033] In one implementation of the present application, before inputting the first monitoring temperature curve group corresponding to each of the first temperature anomaly areas into a pre-trained DBSCAN model to determine the temperature anomaly merged area, and generating the second monitoring temperature curve corresponding to the temperature anomaly merged area, the method further includes:

[0034] Acquire a number of monitoring temperature curve group samples; each of the monitoring temperature curve group samples is pre-marked with an abnormal associated group identifier of each monitoring temperature sample curve; the abnormal associated group identifier is obtained based on each of the monitoring temperature sample curves and its corresponding temperature abnormal position;

[0035] Through the DBSCAN model to be trained, cluster processing is performed on each of the monitored temperature curve group samples, and the cluster processing results are compared with each abnormal associated group, so as to correct the model parameters of the DBSCAN model according to the comparison results, until the comparison results meet the preset conditions, and the pre-trained DBSCAN model is obtained; wherein, the model parameters include at least: a neighborhood radius and a minimum number of points in the neighborhood; the preset condition is that each clustering cluster corresponding to the cluster processing result matches the corresponding each abnormal associated group.

[0036] In one implementation of the present application, determining the second temperature abnormality area on the inner surface of the tire based on the second monitored temperature curve and a preset tire circumferential positioning rule specifically includes:

[0037] Determining, according to the temperature anomaly combined area corresponding to the second monitoring temperature curve, a tire inner surface circumference corresponding to the corresponding axial annular area;

[0038] Determine a tire circumferential positioning fitting equation according to the circumference of the tire inner surface and the setting position of the panoramic temperature monitoring module; wherein the tire circumferential positioning fitting equation includes a correlation relationship between the horizontal coordinate point of the second monitoring temperature curve and the position of the tire inner surface;

[0039] Slide the preset sliding window from left to right along the second monitoring temperature curve according to a preset step length, so as to determine whether there is an abnormal temperature data point in the preset sliding window at each sliding position based on a preset abnormal temperature judgment condition; the preset abnormal temperature judgment condition includes at least one or more of the following: whether there is a temperature value greater than a preset temperature threshold, and whether the temperature change rate is greater than a preset change threshold;

[0040] If so, the horizontal coordinate interval corresponding to the preset sliding window is determined to be an abnormal coordinate interval, so as to determine the second temperature abnormal area corresponding to the abnormal coordinate interval according to the abnormal coordinate interval and the tire circumferential positioning fitting equation.

[0041] On the other hand, an embodiment of the present application further provides a tire temperature monitoring device, the device comprising:

[0042] A first determination module is used to determine a first monitoring temperature data set corresponding to a plurality of grid temperature measurement areas on the inner surface of the tire based on a panoramic temperature monitoring module pre-set on the rim surface;

[0043] A generating module, configured to generate first monitoring temperature curves corresponding to the axial annular areas according to the plurality of axial annular areas and the first monitoring temperature data set; wherein the axial annular area takes the length of the corresponding grid temperature measurement area along the axial direction of the tire as the annular thickness, and forms a closed circular area on the inner surface of the tire;

[0044] a second determination module, configured to determine an abnormal temperature evaluation value corresponding to each of the first monitoring temperature curves based on each of the first monitoring temperature curves and the historical monitoring temperature data and a preset abnormal temperature evaluation algorithm, so as to determine a first temperature abnormality area according to the abnormal temperature evaluation value;

[0045] An input module, used for inputting a first monitoring temperature curve group corresponding to each of the first temperature anomaly regions into a pre-trained DBSCAN model to determine a temperature anomaly merge region, and generating a second monitoring temperature curve corresponding to the temperature anomaly merge region;

[0046] The third determination module is used to determine the second temperature abnormality area on the inner surface of the tire based on the second monitoring temperature curve and the preset tire circumferential positioning rule, so as to generate early warning prompt information according to the second temperature abnormality area and send it to the user terminal to continuously monitor and warn the temperature inside the tire.

[0047] On the other hand, the embodiment of the present application further provides a tire temperature monitoring device, the device comprising:

[0048] At least one processor; and a memory communicatively connected to the at least one processor; wherein the memory stores instructions executable by the at least one processor, and the instructions are executed by the at least one processor so that the at least one processor can execute a method for monitoring temperature in a tire as described above.

[0049] Compared with the prior art, the present invention has the following significant effects:

[0050] 1) Through the above technical solution, the present application can, on the one hand, timely and effectively obtain the monitoring temperature data of the inner surface of the tire based on the panoramic temperature monitoring module, and perform efficient temperature anomaly analysis according to the temperature distribution of the axial annular area. Among them, the inner surface of the tire is divided into multiple grid temperature measurement areas, which provides more detailed temperature distribution information, helps to more accurately identify the specific location and degree of temperature anomalies, and improves the accuracy of monitoring. On the other hand, the DBSCAN model is used to merge the analyzed temperature anomaly areas, so as to realize temperature monitoring in the axial direction of the tire, and analyze the second temperature anomaly area of ​​the tire circumferential position, thereby improving the intelligent level of temperature monitoring. In this way, the temperature inside the tire can be monitored and warned in a timely and accurate manner, and abnormal tire temperature problems can be discovered and handled in a timely manner, which helps to improve the safety and life of the tire.

[0051] 2) This application adopts a modular design, such as the panoramic temperature monitoring module, abnormal temperature assessment algorithm, DBSCAN model, etc. These modules can be expanded and upgraded according to actual needs. This means that with the continuous advancement of technology, the technical solution of this application can continue to maintain its advancement and practicality. BRIEF DESCRIPTION OF THE DRAWINGS

[0052] The drawings described herein are used to provide a further understanding of the present application and constitute a part of the present application. The illustrative embodiments of the present application and their descriptions are used to explain the present application and do not constitute an improper limitation on the present application. In the drawings:

[0053] Figure 1 A schematic diagram of a process of a method for monitoring temperature in a tire in an embodiment of the present application;

[0054] Figure 2 A schematic diagram of the inner surface division area corresponding to the tire crown in a tire temperature monitoring method in an embodiment of the present application;

[0055] Figure 3 Another schematic diagram of the inner surface division area corresponding to the tire crown in a tire temperature monitoring method in an embodiment of the present application;

[0056] Figure 4 This is a schematic diagram of the structure of a tire temperature monitoring device in an embodiment of the present application;

[0057] Figure 5 This is a schematic diagram of the structure of a tire temperature monitoring device in an embodiment of the present application. DETAILED DESCRIPTION

[0058] In order to make the purpose, technical solution and advantages of the present application clearer, the technical solution of the present application will be clearly and completely described below in combination with the specific embodiments of the present application and the corresponding drawings. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without making creative work are within the scope of protection of the present application.

[0059] The embodiments of the present application provide a tire temperature monitoring method, device and equipment to solve the technical problem that traditional monitoring methods are difficult to accurately and stably measure tire temperature and cannot meet the requirements of accurate tire temperature monitoring and abnormal warning, thereby providing real-time, accurate and comprehensive tire temperature information, and being able to issue early warning prompts in time according to temperature data to help users promptly discover and deal with abnormal tire temperature problems, thereby improving the safety of tire use and extending the service life.

[0060] The following describes in detail various embodiments of the present application in conjunction with the accompanying drawings.

[0061] The present application provides a method for monitoring tire temperature, which is applied to tires of automobiles, including but not limited to passenger cars, buses, special operation vehicles, and racing vehicles. Figure 1 As shown, the method may include steps S101-S105:

[0062] S101, the microcontroller determines a first monitoring temperature data set corresponding to a plurality of grid temperature measurement areas on the inner surface of the tire based on a panoramic temperature monitoring module pre-set on the rim surface.

[0063] It should be noted that the above-mentioned microcontroller is an automotive microcontroller unit (MCU), also known as a microcontroller or single-chip microcomputer. It is a microcomputer that integrates multiple functional modules such as CPU, memory (ROM / RAM), data converter (A / D, D / A), input / output interface (I / O) and timer. As a highly integrated microcomputer control system, it can realize the function of terminal control and has the advantages of high performance, low power consumption, programmability and high flexibility. The microcontroller is only an exemplary execution subject of the tire temperature monitoring method. The execution subject is not limited to the microcontroller. For example, in some usage scenarios, the execution subject of the above-mentioned technical solution can also be a server connected to the various hardware function modules of the vehicle through the network. The server executes the operations corresponding to the above-mentioned tire temperature monitoring method. Therefore, this application does not specifically limit the above-mentioned execution subject.

[0064] In an embodiment of the present application, the panoramic temperature monitoring module is composed of a plurality of infrared temperature measurement modules or a plurality of image acquisition modules. For example, two or three infrared temperature measurement modules are arranged evenly around the rim surface. The even arrangement can be understood as, for example, when two infrared temperature measurement modules are arranged, they are arranged at symmetrical positions around the rim and the two infrared temperature measurement modules are on a straight line formed by the same diameter of the tire. For example, when three infrared temperature measurement modules are arranged, they are arranged at the same arc length around the tire, and the positions of the three infrared temperature measurement modules form an equilateral triangle relative to the circle formed by the rim. The image acquisition module is arranged in the same manner and will not be described in detail here. By evenly arranging multiple infrared temperature measurement modules or multiple image acquisition modules on the rim surface, support is provided for collecting panoramic surface data covering various positions on the inner surface of the tire. The panoramic surface data can be understood as surface data at various positions along the inner surface of the tire.

[0065] Wherein, before determining the first monitoring temperature data set corresponding to a plurality of grid temperature measurement areas on the inner surface of the tire based on the panoramic temperature monitoring module pre-set on the rim surface, the method further includes:

[0066] In the case where the panoramic temperature monitoring module is composed of multiple infrared temperature measurement modules, multiple inner surface division areas corresponding to the tire specification information and the division grid sizes corresponding to each inner surface division area are determined. Among them, each inner surface division area corresponds to the inner surface of each tire part. The tire part includes at least: tire toe, tire side, tire shoulder and tire crown. According to each division grid size, the corresponding inner surface division area is grid-divided to generate a number of grid temperature measurement areas.

[0067] In other words, when the panoramic temperature monitoring module is composed of multiple infrared temperature measurement modules, the microcontroller can determine the tire part through the tire specification information pre-stored or input by the user, and obtain the inner surface division area corresponding to the different tire parts according to the tire part size in the tire specification information, and obtain the division grid size in the preset grid size list according to the area size of the different inner surface division areas. For example, the inner surface division area corresponding to the tire toe adopts a division grid size of a*a mm, and the inner surface division area corresponding to the tire side adopts a division grid size of b*b mm, where b is greater than a... Using different division grid sizes can more accurately monitor the temperature of different inner surface division areas.

[0068] The present application may also use the same grid size for different inner surface division areas, which can be set by the user according to the actual usage scenario, and the present application does not make any specific restrictions on this. By dividing the grid size, the microcontroller will perform a grid division operation on each inner surface division area, thereby dividing the inner surface division area into an area composed of several grid temperature measurement areas. Figure 2 As shown, Figure 2is the inner surface division area corresponding to the crown, 201 is the boundary between the inner surface division area and the inner surface division area corresponding to the shoulder, and the inner surface division area includes a plurality of grid temperature measurement areas 202.

[0069] In one embodiment of the present application, the panoramic temperature monitoring module may also use an image acquisition module, such as a camera, to collect temperature data, and the infrared temperature measurement module can complete temperature data acquisition by collecting infrared radiation from the inner surface of the tire. However, the image acquisition module cannot collect infrared radiation energy. In this case, before the panoramic temperature monitoring module pre-set on the rim surface determines the first monitoring temperature data set corresponding to a plurality of grid temperature measurement areas on the inner surface of the tire, it also includes:

[0070] In the case where the panoramic temperature monitoring module is composed of multiple image acquisition modules, the divided grid groups corresponding to the multiple inner surface divided areas of the inner surface of the tire are determined according to the information of each group of temperature indicating labels pre-applied on the inner surface of the tire, so as to obtain a number of grid temperature measurement areas according to the grid areas corresponding to each divided grid group. Among them, a group of temperature indicating label information corresponds to an inner surface divided area. The temperature indicating label information at least includes the appearance information of the temperature indicating label and the application position of the temperature indicating label. There is an association relationship between the appearance information of the temperature indicating label and the corresponding inner surface divided area. An inner surface divided area includes multiple temperature indicating labels.

[0071] That is to say, the present application can pre-apply several groups of temperature indicating labels on the inner surface of the tire, and the temperature indicating label application position is the grid temperature measurement area 202, and the appearance information of the temperature indicating label includes the length, width, shape, etc. of the label. The microcontroller can use the size of the temperature indicating label as the grid size for division, thereby performing grid division on the corresponding inner surface division areas. Among them, the same as the above-mentioned grid size for division, the present application can apply temperature indicating labels of the same size or different sizes to different inner surface division areas, thereby flexibly measuring the temperature of different inner surface division areas. When temperature indicating labels of different sizes are applied to different inner surface division areas, each inner surface division area corresponds to different groups of temperature indicating label information. The temperature indicating label of the present application can be set on the inner wall rubber layer during tire production, or it can be applied later, and the present application does not make specific restrictions on this.

[0072] Furthermore, a temperature indication label at least includes a reversible temperature indication region corresponding to a plurality of stepped temperature intervals. Different stepped temperature intervals of the reversible temperature indication region correspond to different temperature indication sub-regions, and the temperature indication sub-region changes color under the temperature conditions of the corresponding stepped temperature intervals.

[0073] The temperature indicating label is a temperature indicating and recording label. The reversible temperature indicating area can change color when the temperature reaches its corresponding temperature, and the color change is reversible, that is, the color can be restored after the temperature is restored. The reversible temperature indicating area of ​​the temperature indicating label is divided into multiple temperature indicating sub-areas, and each temperature indicating sub-area corresponds to a specific step temperature interval. When the temperature of the temperature indicating label application position changes and reaches the color change temperature of a step temperature interval, the temperature indicating sub-area corresponding to the step temperature interval will change color. The temperature indicating label of the present application is provided with multiple step temperature intervals to monitor multiple different temperature ranges.

[0074] For example, if the temperature indicator label has three stepped temperature ranges: low temperature, medium temperature, and high temperature, it will have three corresponding temperature sub-areas. When the ambient temperature is in the low temperature range, the corresponding low temperature temperature sub-area will change color; when the ambient temperature rises to the medium temperature range, the medium temperature temperature sub-area will change color; similarly, when the ambient temperature reaches the high temperature range, the high temperature temperature sub-area will change color. When the temperature drops, the colors of these sub-areas will also be restored accordingly. In this way, the temperature indicator label can intuitively indicate the temperature range of the grid temperature measurement area, and monitor the temperature of the inner surface of the tire simply and efficiently.

[0075] In addition, the temperature sub-areas in the temperature label can be set in order from low to high according to the corresponding monitored temperatures, or can be set by the user according to other requirements. This application does not specifically limit the arrangement of the temperature sub-areas in the temperature label.

[0076] In another embodiment of the present application, the temperature indicating label of the present application may also include an irreversible temperature indicating area, and the irreversible temperature indicating area is provided with each irreversible temperature indicating sub-area corresponding to the monitoring temperature of each stepped temperature interval of the reversible temperature indicating area, and the irreversible temperature indicating sub-area changes color after reaching the corresponding temperature, and the color cannot be restored after the temperature is restored. By setting the irreversible temperature indicating sub-area, the historical temperature reached by the inner surface of the tire can be recorded. This method can be applied to scenarios such as racing vehicles where tires are frequently replaced, and the present application does not make specific limitations on this.

[0077] In the embodiment of the present application, the number of the above-mentioned infrared temperature measurement modules or image acquisition modules is at least two, and they are evenly arranged along the circumference of the rim surface to collect surface data at various positions on the inner surface of the tire to obtain panoramic surface data. The surface data is the infrared radiation signal of the inner surface of the tire or the image of the temperature label on the inner surface of the tire.

[0078] The present application collects panoramic surface data of the inner surface of the tire through a panoramic temperature monitoring module, and can parse and obtain the monitoring temperature value of each position, thereby establishing a first monitoring temperature data set corresponding to each grid temperature measurement area. Among them, the image acquisition device can acquire an image of the temperature indication label, and the microcontroller recognizes the discolored temperature indication sub-area through a preset image recognition model such as a neural network, and obtains the first monitoring temperature through the correspondence between the temperature indication sub-area and the stepped temperature interval.

[0079] S102, the microcontroller generates a first monitoring temperature curve corresponding to each axial annular area according to the plurality of axial annular areas and the first monitoring temperature data set.

[0080] The axial annular region uses the length of the corresponding grid temperature measurement region along the axial direction of the tire as the annular thickness, forming a closed circular region on the inner surface of the tire.

[0081] The axial annular region, wherein the annular region can be understood as the region formed by one circle along the rotation direction (i.e., circumferential direction) of the tire, Figure 3 The axial annular area can be understood as a closed circular area along the axial direction with the length of a grid temperature measurement area along the axial direction as the annular thickness, such as Figure 3 The middle 301 is an axial annular area.

[0082] In the embodiment of the present application, the first monitoring temperature curves corresponding to the respective axial annular regions are generated according to the plurality of axial annular regions and the first monitoring temperature data set, specifically including:

[0083] Determine the acquisition correspondence between the axial annular area and each first monitoring temperature data in the first monitoring temperature data set, so as to determine the associated first monitoring temperature data corresponding to the axial annular area according to the acquisition correspondence. The acquisition correspondence is obtained based on the data acquisition position. According to the relative position relationship of each grid temperature measurement area corresponding to the axial annular area, the corresponding associated first monitoring temperature data are sequentially added to the preset plane rectangular coordinate system to generate a first monitoring temperature curve. The horizontal axis of the preset plane rectangular coordinate system is the annular circumference of the axial annular area, and the vertical axis is the temperature value corresponding to the first monitoring temperature data.

[0084] In other words, the panoramic temperature monitoring module can record the data collection positions of each first monitoring temperature data set included in the first monitoring temperature data set, and establish a collection correspondence through the coordinate correspondence between the axial annular area and the data collection position. Subsequently, the axial annular area is linked to part of the first monitoring temperature data in the first monitoring temperature data set to obtain each associated first monitoring temperature data corresponding to the axial annular area. Next, the microcontroller will take a grid temperature measurement area as the starting point, and along a preset circumferential direction, according to the relative position relationship of each grid temperature measurement area in the axial annular area, sequentially add the associated first monitoring temperature data corresponding to each grid temperature measurement area to a preset plane rectangular coordinate system to generate the first monitoring temperature curve of the axial annular area along the circumferential direction.

[0085] Through the above scheme, several first monitoring temperature curves of the tire in each circumferential direction at a certain axial distance can be generated, which can capture the temperature changes of the tire in the axial direction, such as the inside and outside of the tire, and provide more detailed temperature distribution information, so as to flexibly monitor the temperature of different axial areas.

[0086] S103, the microcontroller determines the abnormal temperature evaluation value corresponding to each first monitoring temperature curve based on each first monitoring temperature curve and the historical monitoring temperature data and a preset abnormal temperature evaluation algorithm, so as to determine the first temperature abnormal area according to the abnormal temperature evaluation value.

[0087] In the embodiment of the present application, based on each first monitoring temperature curve and historical monitoring temperature data, and a preset abnormal temperature evaluation algorithm, determining the abnormal temperature evaluation value corresponding to each first monitoring temperature curve specifically includes:

[0088] Based on each first monitoring temperature curve, calculate the temperature anomaly parameters corresponding to each axial annular area. According to the first monitoring temperature curve and the corresponding historical monitoring temperature data, determine the temperature rise rate and the maximum monitoring temperature value corresponding to the axial annular area. Take the natural constant as the base, take the inverse of the difference between the maximum monitoring temperature value and the preset tire thermal tolerance temperature threshold as the exponent, obtain the corresponding exponential power, and take the reciprocal of the sum of the exponential power and 1 as the temperature tolerance parameter. Take the product value of the temperature anomaly parameter, the temperature rise rate and the temperature tolerance parameter as the abnormal temperature evaluation value.

[0089] This application calculates the abnormal temperature evaluation value by the following first formula:

[0090]

[0091] Among them, E i represents the abnormal temperature evaluation value corresponding to the i-th axial annular region, O i represents the temperature anomaly parameter corresponding to the i-th axial annular region, ΔT iis the temperature change value corresponding to the i-th axial annular area within the preset time length Δt (i.e., the difference between the maximum first monitoring temperature value and the minimum first monitoring temperature value within the preset time length), is the temperature rise rate, T max , i is the maximum monitored temperature value in the historical monitored temperature data of the i-th axial annular area, T tol is the preset tire thermal tolerance temperature threshold, T tol Based on the technical data of tire production parameters. is the temperature tolerance parameter mentioned above.

[0092] Wherein, based on each first monitoring temperature curve, the temperature anomaly parameters corresponding to each axial annular area are calculated, specifically including:

[0093] According to each curve value of the first monitoring temperature curve, the average monitoring temperature value corresponding to each grid temperature measurement area of ​​the axial annular area is calculated. The square value of the difference between each curve value and the average monitoring temperature value is calculated respectively, and the sum of each square value of the difference is calculated, and the square root of the sum is used as the first parameter value. The product value of the number of grid temperature measurement areas in the corresponding axial annular area and the preset standard deviation of the temperature fluctuation of the inner surface of the tire is used as the second parameter value, and the second parameter value is an indicator of the total amount of temperature fluctuation. The division calculation result of the first parameter value and the second parameter value is used as the temperature anomaly parameter corresponding to the corresponding axial annular area.

[0094] This application calculates the temperature anomaly parameter by the following second formula:

[0095]

[0096] Among them, T ij represents the first monitored temperature of the jth grid temperature measurement area of ​​the i-th axial annular area, represents the average monitored temperature value of the i-th axial annular area, n i is the total number of grid temperature measurement areas in the i-th axial annular area. The above σ is the preset tire inner surface temperature fluctuation standard deviation based on historical data or standard conditions. σ can be set by the user according to the actual tire production parameters. It is the temperature fluctuation benchmark standard deviation. The specific value is not specifically limited in this application. is the first parameter value, n i ·σ is the second parameter value.

[0097] Through the above scheme, the degree of temperature anomaly in each axial annular area can be effectively quantified, and the temperature anomaly point can be accurately located and potential thermal damage (characterized by abnormal temperature evaluation value) can be predicted, thereby improving the safety and reliability of tire use.

[0098] In an embodiment of the present application, after obtaining the abnormal temperature evaluation value, the abnormal temperature evaluation value can be compared with a preset abnormal evaluation threshold value. If the abnormal temperature evaluation value is greater than the preset abnormal evaluation threshold value, the corresponding axial annular area is the first temperature abnormal area, otherwise it is not. The preset abnormal evaluation threshold value can be set by the user according to actual needs. The preset abnormal evaluation threshold value can be related to the actual driving scene of the vehicle. For example, after receiving the driving scene switching information from the user terminal, the correction factor corresponding to the switched driving scene is matched to adjust the preset abnormal evaluation threshold value according to the correction factor. Among them, the preset abnormal evaluation threshold value is used to compare with the abnormal temperature evaluation value to determine the first temperature abnormal area. The correction factor is set by the user for different driving scenes.

[0099] The user terminal can be a mobile phone or tablet computer of the vehicle driver or passenger, or a vehicle-mounted terminal or other device, and this application does not make any specific restrictions on this.

[0100] In addition, after obtaining the temperature abnormality parameter, the present application can also compare the temperature abnormality parameter with the preset abnormality parameter threshold. If the temperature abnormality parameter is greater than the preset abnormality parameter threshold, the microcontroller determines that the inner surface of the tire at this time has a primary temperature abnormality area, and can trigger an early warning mechanism for the primary temperature abnormality area to remind the driver or manufacturer to respond to the temperature abnormality in time. The temperature abnormality parameter can be set by the user or the manufacturer, and the present application does not specifically limit this.

[0101] S104, the microcontroller inputs the first monitoring temperature curve group corresponding to each first temperature anomaly area into a pre-trained DBSCAN model to determine the temperature anomaly merge area, and generates a second monitoring temperature curve corresponding to the temperature anomaly merge area.

[0102] In an embodiment of the present application, before inputting the first monitoring temperature curve group corresponding to each first temperature anomaly area into a pre-trained density-based spatial clustering of applications with noise (DBSCAN) model to determine the temperature anomaly merge area, and generating the second monitoring temperature curve corresponding to the temperature anomaly merge area, the method further includes:

[0103] Obtain several monitoring temperature curve group samples. Each monitoring temperature curve group sample is pre-labeled with the abnormal associated grouping identifier of each monitoring temperature sample curve. The abnormal associated grouping identifier is obtained based on each monitoring temperature sample curve and its corresponding temperature anomaly position. Through the DBSCAN model to be trained, cluster processing is performed on each monitoring temperature curve group sample, and the clustering processing result is compared with each abnormal associated group, so as to correct the model parameters of the DBSCAN model according to the comparison result, until the comparison result meets the preset conditions, and obtain the pre-trained DBSCAN model. Among them, the model parameters include at least: neighborhood radius and the minimum number of points in the neighborhood. The preset condition is that each clustering cluster corresponding to the clustering processing result matches the corresponding each abnormal associated group.

[0104] That is to say, the present application realizes the identification of temperature anomaly merged areas through a pre-trained DBSCAN model. Before using the DBSCAN model, it is necessary to train it first. The microcontroller can obtain several monitoring temperature curve group samples, and several monitoring temperature curve group samples can be pre-stored in a database connected to the microcontroller, and the user is marked with an abnormal association group identifier. The abnormal association group identifier is for each monitoring temperature curve corresponding to the abnormal association group in each monitoring temperature curve group sample corresponding to the same tire, and each monitoring temperature curve corresponding to the same abnormal association group identifier must be density-connected. Density connection is commonly understood as the temperature anomaly areas corresponding to each monitoring temperature curve are connected to each other, and there is no temperature-free abnormal area in the middle. A monitoring temperature curve group contains monitoring temperature curves of all temperature anomaly areas. Through the above-mentioned several monitoring temperature curve group samples, the DBSCAN model is iteratively trained, and the model parameters are continuously corrected to determine the DBSCAN model with better performance, such as a DBSCAN model with a clustering accuracy greater than a predetermined value. Several monitoring temperature curve group samples also include even if the temperature anomaly areas are adjacent in position, but still do not belong to the same abnormal association group identifier. This situation is generally caused by temperature anomalies caused by different temperature anomalies, and the temperature anomaly areas that occur are adjacent. The DBSCAN model can be trained by analyzing the waveforms of the monitoring temperature curve group samples so that it can identify this situation and accurately complete clustering when processing the first monitoring temperature curve group.

[0105] Through the trained DBSCAN model, the microcontroller processes the first monitoring temperature curve group to obtain the first monitoring temperature curve with the same abnormal associated grouping identifier, and generates a cluster cluster to merge the temperature anomaly area corresponding to the cluster cluster according to the correspondence between the first monitoring temperature curve and the first temperature anomaly area.

[0106] At the same time, the present application continues to calculate the average temperature values ​​of the corresponding first monitoring temperature curves at the same tire circumferential position (i.e., the same circumferential position of the circle formed by the tire) according to the temperature anomaly merging area, so as to establish a second monitoring temperature curve in the above-mentioned preset plane rectangular coordinate system based on each average value.

[0107] S105, the microcontroller determines a second temperature abnormality area on the inner surface of the tire based on the second monitoring temperature curve and the preset tire circumferential positioning rule, generates early warning information according to the second temperature abnormality area, and sends it to the user terminal to continuously monitor and warn the temperature inside the tire.

[0108] In the embodiment of the present application, the second abnormal temperature area on the inner surface of the tire is determined based on the second monitored temperature curve and the preset tire circumferential positioning rule, specifically including:

[0109] According to the temperature anomaly merged area corresponding to the second monitoring temperature curve, determine the inner surface circumference of the tire corresponding to the corresponding axial annular area. According to the inner surface circumference of the tire and the setting position of the panoramic temperature monitoring module, determine the tire circumferential positioning fitting equation. Among them, the tire circumferential positioning fitting equation includes the correlation between the horizontal coordinate point of the second monitoring temperature curve and the inner surface position of the tire. Slide the preset sliding window from left to right along the second monitoring temperature curve according to the preset step size to determine whether there is an abnormal temperature data point in the preset sliding window at each sliding position based on the preset abnormal temperature judgment condition. The preset abnormal temperature judgment condition includes at least one or more of the following: whether there is a temperature value greater than the preset temperature threshold, and whether the temperature change rate is greater than the preset change threshold.

[0110] When it is determined based on the preset abnormal temperature judgment condition that there are abnormal temperature data points in the preset sliding window at each sliding position, the horizontal coordinate interval corresponding to the corresponding preset sliding window is determined as the abnormal coordinate interval, so as to determine the second temperature abnormal area corresponding to the abnormal coordinate interval according to the abnormal coordinate interval and the tire circumferential positioning fitting equation.

[0111] That is to say, the microcontroller is provided with a preset tire circumferential positioning rule, which includes a tire circumferential positioning fitting equation, which is used to output the tire inner surface position corresponding to each horizontal coordinate point of the second monitoring temperature curve, and the output tire inner surface position can be a label, and the label can correspond to the position coordinate of the tire three-dimensional model. The establishment of the tire circumferential positioning fitting equation of the present application first matches the tire inner surface circumference corresponding to the temperature anomaly merge area through the temperature anomaly merge area, and the tire inner surface circumference can be the sum average of the annular circumferences of each circumferential annular area corresponding to the temperature anomaly merge area; then, the panoramic temperature monitoring module is marked with its setting position in each tire, and the tire circumferential positioning fitting equation can be established by positioning relative to the setting position.

[0112] The microcontroller slides from left to right from the beginning of the second monitoring temperature curve through a preset sliding window, wherein the preset sliding window can call the preset abnormal temperature judgment condition to identify whether there is an abnormal temperature data point at each sliding position. The preset abnormal temperature judgment condition may include determining whether the curve value contained in the preset sliding window has a temperature value greater than the preset temperature threshold and / or whether the temperature change rate is greater than the preset change threshold. The preset temperature threshold and the preset change threshold can be set by the user according to the actual usage scenario, and the present application does not make specific restrictions on this. If it is determined that there is a sliding position that meets the preset abnormal temperature judgment condition, the microcontroller determines that there is an abnormal temperature data point at the sliding position, and uses the horizontal coordinate interval corresponding to the sliding position as the abnormal coordinate interval, so as to obtain the label of one or more tire inner surface positions through the above-mentioned tire circumferential positioning fitting equation, thereby obtaining the second temperature abnormal area.

[0113] When it is determined based on the preset abnormal temperature judgment condition that there is no abnormal temperature data point in the preset sliding window at each sliding position, the window sliding operation continues until the preset sliding window slides to the end of the second monitoring temperature curve.

[0114] Furthermore, the microcontroller generates early warning information according to the second temperature abnormality area and sends it to the user terminal to continuously monitor and warn the temperature inside the tire, specifically including:

[0115] According to the second temperature abnormality area and the preset regional hidden danger comparison list, the corresponding regional hidden danger sequence is determined. According to the regional hidden dangers in the regional hidden danger sequence, the hidden danger disposal strategy in the preset disposal strategy list is matched, and the regional hidden danger sequence and each hidden danger disposal strategy are sent to the user terminal as early warning prompt information, and continuous monitoring and early warning are performed based on the feedback information from the user terminal. The feedback information may include but is not limited to executing the hidden danger disposal strategy or ignoring the current warning and continuing to monitor the warning.

[0116] Through the above technical solution, the present application can, on the one hand, timely and effectively obtain the monitoring temperature data of the inner surface of the tire based on the panoramic temperature monitoring module, and perform efficient temperature anomaly analysis according to the temperature distribution mode of the axial annular area. Among them, the inner surface of the tire is divided into multiple grid temperature measurement areas, which provides more detailed temperature distribution information, helps to more accurately identify the specific location and degree of temperature anomalies, and improves the accuracy of monitoring. On the other hand, the DBSCAN model is used to merge the analyzed temperature anomaly areas, so as to realize temperature monitoring in the axial direction of the tire, and analyze the second temperature anomaly area of ​​the tire circumferential position, which improves the intelligent level of temperature monitoring. In this way, the temperature inside the tire can be monitored and warned in a timely and accurate manner, and abnormal tire temperature problems can be discovered and handled in a timely manner, which helps to improve the safety and life of the tire.

[0117] In addition, this application adopts a modular design, such as the panoramic temperature monitoring module, abnormal temperature assessment algorithm, DBSCAN model, etc. These modules can be expanded and upgraded according to actual needs. This means that with the continuous advancement of technology, the technical solution of this application can continue to maintain its advancement and practicality.

[0118] Figure 4 A schematic diagram of the structure of a tire temperature monitoring device provided in an embodiment of the present application is shown in FIG. Figure 4 As shown, the tire temperature monitoring device 400 includes:

[0119] The first determination module 401 is used to determine the first monitoring temperature data set corresponding to several grid temperature measurement areas on the inner surface of the tire based on the panoramic temperature monitoring module pre-set on the rim surface. The generation module 402 is used to generate the first monitoring temperature curves corresponding to each axial annular area according to multiple axial annular areas and the first monitoring temperature data set. Among them, the axial annular area uses the length of the corresponding grid temperature measurement area along the axial direction of the tire as the annular thickness to form a closed circular ring area on the inner surface of the tire. The second determination module 403 is used to determine the abnormal temperature evaluation value corresponding to each first monitoring temperature curve based on each first monitoring temperature curve and historical monitoring temperature data and a preset abnormal temperature evaluation algorithm, so as to determine the first temperature abnormal area according to the abnormal temperature evaluation value. The input module 404 is used to input the first monitoring temperature curve group corresponding to each first temperature abnormal area into the pre-trained DBSCAN model to determine the temperature abnormality merge area and generate the second monitoring temperature curve corresponding to the temperature abnormality merge area. The third determination module 405 is used to determine the second temperature abnormality area on the inner surface of the tire based on the second monitoring temperature curve and the preset tire circumferential positioning rule, so as to generate early warning prompt information according to the second temperature abnormality area and send it to the user terminal to continuously monitor and warn the temperature inside the tire.

[0120] In one embodiment of the present application, the panoramic temperature monitoring module in the tire temperature monitoring device 400 is composed of multiple infrared temperature measurement modules or multiple image acquisition modules.

[0121] The tire temperature monitoring device 400 can also:

[0122] In the case where the panoramic temperature monitoring module is composed of multiple infrared temperature measurement modules, multiple inner surface division areas corresponding to the tire specification information and the division grid sizes corresponding to each inner surface division area are determined. Among them, each inner surface division area corresponds to the inner surface of each tire part. The tire part includes at least: tire toe, tire side, tire shoulder and tire crown. According to each division grid size, the corresponding inner surface division area is grid-divided to generate a number of grid temperature measurement areas.

[0123] Alternatively, the tire temperature monitoring device 400 can also:

[0124] In the case where the panoramic temperature monitoring module is composed of multiple image acquisition modules, the divided grid groups corresponding to the multiple inner surface divided areas of the inner surface of the tire are determined according to the information of each group of temperature indicating labels pre-applied on the inner surface of the tire, so as to obtain a number of grid temperature measurement areas according to the grid areas corresponding to each divided grid group. Among them, a group of temperature indicating label information corresponds to an inner surface divided area. The temperature indicating label information at least includes the appearance information of the temperature indicating label and the application position of the temperature indicating label. There is an association relationship between the appearance information of the temperature indicating label and the corresponding inner surface divided area. An inner surface divided area includes multiple temperature indicating labels.

[0125] In one embodiment of the present application, a temperature label in the tire temperature monitoring device 400 includes at least a reversible temperature display area corresponding to a plurality of stepped temperature intervals. Different stepped temperature intervals of the reversible temperature display area correspond to different temperature display sub-areas, and the temperature display sub-areas change color under the temperature conditions of the corresponding stepped temperature intervals. The number of infrared temperature measurement modules or image acquisition modules is at least two, and they are evenly arranged along the circumference of the rim surface to collect surface data at various positions on the inner surface of the tire to obtain panoramic surface data. The surface data is an infrared radiation signal on the inner surface of the tire or an image of a temperature label on the inner surface of the tire.

[0126] The generation module 402 is specifically used for:

[0127] Determine the acquisition correspondence between the axial annular area and each first monitoring temperature data in the first monitoring temperature data set, so as to determine the associated first monitoring temperature data corresponding to the axial annular area according to the acquisition correspondence. The acquisition correspondence is obtained based on the data acquisition position. According to the relative position relationship of each grid temperature measurement area corresponding to the axial annular area, the corresponding associated first monitoring temperature data are sequentially added to the preset plane rectangular coordinate system to generate a first monitoring temperature curve. The horizontal axis of the preset plane rectangular coordinate system is the annular circumference of the axial annular area, and the vertical axis is the temperature value corresponding to the first monitoring temperature data.

[0128] The second determining module 403 is specifically used for:

[0129] Based on each first monitoring temperature curve, calculate the temperature anomaly parameters corresponding to each axial annular area. According to the first monitoring temperature curve and the corresponding historical monitoring temperature data, determine the temperature rise rate and the maximum monitoring temperature value corresponding to the axial annular area. Take the natural constant as the base, take the inverse of the difference between the maximum monitoring temperature value and the preset tire thermal tolerance temperature threshold as the exponent, obtain the corresponding exponential power, and take the reciprocal of the sum of the exponential power and 1 as the temperature tolerance parameter. Take the product value of the temperature anomaly parameter, the temperature rise rate and the temperature tolerance parameter as the abnormal temperature evaluation value.

[0130] The second determining module 403 is further specifically configured to:

[0131] According to each curve value of the first monitoring temperature curve, the average monitoring temperature value corresponding to each grid temperature measurement area of ​​the axial annular area is calculated. The square value of the difference between each curve value and the average monitoring temperature value is calculated respectively, and the sum of each square value of the difference is calculated, and the square root of the sum is used as the first parameter value. The product value of the number of grid temperature measurement areas in the corresponding axial annular area and the preset standard deviation of the tire inner surface temperature fluctuation is used as the second parameter value. The division calculation result of the first parameter value and the second parameter value is used as the temperature anomaly parameter corresponding to the corresponding axial annular area.

[0132] The tire temperature monitoring device 400 can also:

[0133] Obtain several monitoring temperature curve group samples. Each monitoring temperature curve group sample is pre-labeled with the abnormal associated grouping identifier of each monitoring temperature sample curve. The abnormal associated grouping identifier is obtained based on each monitoring temperature sample curve and its corresponding temperature anomaly position. Through the DBSCAN model to be trained, cluster processing is performed on each monitoring temperature curve group sample, and the clustering processing result is compared with each abnormal associated group, so as to correct the model parameters of the DBSCAN model according to the comparison result, until the comparison result meets the preset conditions, and obtain the pre-trained DBSCAN model. Among them, the model parameters include at least: neighborhood radius and the minimum number of points in the neighborhood. The preset condition is that each clustering cluster corresponding to the clustering processing result matches the corresponding each abnormal associated group.

[0134] The third determination module 405 is specifically used for:

[0135] According to the temperature anomaly merged area corresponding to the second monitoring temperature curve, determine the inner surface circumference of the tire corresponding to the corresponding axial annular area. According to the inner surface circumference of the tire and the setting position of the panoramic temperature monitoring module, determine the tire circumferential positioning fitting equation. Among them, the tire circumferential positioning fitting equation includes the correlation between the horizontal coordinate point of the second monitoring temperature curve and the inner surface position of the tire. Slide the preset sliding window from left to right along the second monitoring temperature curve according to the preset step size to determine whether there is an abnormal temperature data point in the preset sliding window at each sliding position based on the preset abnormal temperature judgment condition. The preset abnormal temperature judgment condition includes at least one or more of the following: whether there is a temperature value greater than the preset temperature threshold, and whether the temperature change rate is greater than the preset change threshold. If so, determine that the horizontal coordinate interval corresponding to the corresponding preset sliding window is an abnormal coordinate interval, so as to determine the second temperature abnormal area corresponding to the abnormal coordinate interval according to the abnormal coordinate interval and the tire circumferential positioning fitting equation.

[0136] Figure 5 A schematic diagram of the structure of a fetal temperature monitoring device provided in an embodiment of the present application is shown in FIG. Figure 5 As shown, the device includes:

[0137] At least one processor. And a memory in communication with the at least one processor. The memory stores instructions executable 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:

[0138] Based on the panoramic temperature monitoring module pre-set on the rim surface, the first monitoring temperature data set corresponding to several grid temperature measurement areas on the inner surface of the tire is determined. According to the multiple axial annular areas and the first monitoring temperature data set, the first monitoring temperature curves corresponding to each axial annular area are generated. Among them, the axial annular area uses the length of the corresponding grid temperature measurement area along the axial direction of the tire as the annular thickness, and forms a closed circular ring area on the inner surface of the tire. Based on each first monitoring temperature curve and historical monitoring temperature data, and a preset abnormal temperature evaluation algorithm, the abnormal temperature evaluation value corresponding to each first monitoring temperature curve is determined, so as to determine the first temperature abnormal area according to the abnormal temperature evaluation value. The first monitoring temperature curve group corresponding to each first temperature abnormal area is input into the pre-trained DBSCAN model to determine the temperature abnormality merge area, and generate a second monitoring temperature curve corresponding to the temperature abnormality merge area. Based on the second monitoring temperature curve and the preset tire circumferential positioning rule, the second temperature abnormal area on the inner surface of the tire is determined, so as to generate early warning prompt information according to the second temperature abnormal area, and send it to the user terminal, so as to continuously monitor and warn the temperature inside the tire.

[0139] Each embodiment in this application 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 device and equipment 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.

[0140] The devices and equipment provided in the embodiments of the present application correspond one-to-one to the methods. Therefore, the devices and equipment also have similar beneficial technical effects as the corresponding methods. Since the beneficial technical effects of the methods have been described in detail above, the beneficial technical effects of the devices and equipment will not be repeated here.

[0141] 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.

[0142] The above is only the embodiment of the present application and is not intended to limit the present application. For those skilled in the art, the present application may have various changes and variations. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application should be included in the scope of the claims of the present application.

Claims

1. A method for monitoring temperature in a tire, characterized in that: The method comprises: Based on a panoramic temperature monitoring module pre-set on the rim surface, determining a first monitoring temperature data set corresponding to a plurality of grid temperature measurement areas on the inner surface of the tire; Generate a first monitoring temperature curve corresponding to each of the axial annular areas according to the plurality of axial annular areas and the first monitoring temperature data set; wherein the axial annular area takes the length of the corresponding grid temperature measurement area along the axial direction of the tire as the annular thickness, and forms a closed circular area on the inner surface of the tire; Based on each of the first monitoring temperature curves and the historical monitoring temperature data and a preset abnormal temperature evaluation algorithm, determining an abnormal temperature evaluation value corresponding to each of the first monitoring temperature curves, so as to determine a first temperature abnormality area according to the abnormal temperature evaluation value; Inputting the first monitoring temperature curve group corresponding to each of the first temperature anomaly regions into a pre-trained DBSCAN model to determine a temperature anomaly merged region, and generating a second monitoring temperature curve corresponding to the temperature anomaly merged region; Based on the second monitoring temperature curve and the preset tire circumferential positioning rule, the second temperature abnormality area on the inner surface of the tire is determined, and early warning prompt information is generated according to the second temperature abnormality area and sent to the user terminal to continuously monitor and warn the temperature inside the tire.

2. A method for monitoring temperature in a tire according to claim 1, characterized in that: The panoramic temperature monitoring module is composed of a plurality of infrared temperature measurement modules or a plurality of image acquisition modules; Before determining the first monitoring temperature data set corresponding to a plurality of grid temperature measurement areas on the inner surface of the tire based on the panoramic temperature monitoring module pre-set on the rim surface, the method further includes: In the case where the panoramic temperature monitoring module is composed of a plurality of the infrared temperature measurement modules, a plurality of inner surface division areas corresponding to the tire specification information and a division grid size corresponding to each of the inner surface division areas are determined; wherein each of the inner surface division areas corresponds to an inner surface of each tire part; the tire parts include at least: tire toe, tire sidewall, tire shoulder and tire crown; According to each of the divided grid sizes, the corresponding inner surface divided areas are respectively divided into grids to generate a plurality of the grid temperature measurement areas; Alternatively, before determining the first monitoring temperature data set corresponding to a plurality of grid temperature measurement areas on the inner surface of the tire based on the panoramic temperature monitoring module pre-set on the rim surface, the method further includes: In the case where the panoramic temperature monitoring module is composed of a plurality of the image acquisition modules, the divided grid groups corresponding to the plurality of inner surface divided areas corresponding to the inner surface of the tire are determined according to the groups of temperature indicating label information pre-appointed on the inner surface of the tire, so as to obtain a plurality of the grid temperature measurement areas according to the grid areas corresponding to the divided grid groups; wherein, a group of the temperature indicating label information corresponds to one inner surface divided area; the temperature indicating label information at least includes the appearance information of the temperature indicating label and the application position of the temperature indicating label; there is an association between the appearance information of the temperature indicating label and the corresponding inner surface divided area; and one inner surface divided area includes a plurality of temperature indicating labels.

3. A method for monitoring temperature in a tire according to claim 2, characterized in that: A temperature indicating label at least comprises a reversible temperature indicating region corresponding to a plurality of stepped temperature intervals; different stepped temperature intervals of the reversible temperature indicating region correspond to different temperature indicating sub-regions, and the temperature indicating sub-region changes color under the temperature condition of the corresponding stepped temperature interval; The number of the infrared temperature measurement modules or the image acquisition modules is at least two, and they are evenly arranged along the circumference of the rim surface to collect surface data at various positions on the inner surface of the tire to obtain panoramic surface data; wherein the surface data is an infrared radiation signal on the inner surface of the tire or an image of the temperature indication label on the inner surface of the tire.

4. A method for monitoring temperature in a tire according to claim 1, characterized in that: Generating first monitoring temperature curves corresponding to the axial annular regions according to the plurality of axial annular regions and the first monitoring temperature data set specifically includes: Determine the acquisition correspondence between the axial annular area and each first monitoring temperature data in the first monitoring temperature data set, so as to determine the associated first monitoring temperature data corresponding to the axial annular area according to the acquisition correspondence; wherein the acquisition correspondence is obtained based on the data acquisition position; According to the relative position relationship of each of the grid temperature measurement areas corresponding to the axial annular area, the corresponding associated first monitoring temperature data are added in sequence to the preset plane rectangular coordinate system to generate the first monitoring temperature curve; the horizontal axis of the preset plane rectangular coordinate system is the annular circumference of the axial annular area, and the vertical axis is the temperature value corresponding to the first monitoring temperature data.

5. The method for monitoring temperature in a tire according to claim 1, characterized in that: Based on each of the first monitoring temperature curves and the historical monitoring temperature data and a preset abnormal temperature evaluation algorithm, determining an abnormal temperature evaluation value corresponding to each of the first monitoring temperature curves specifically includes: Based on each of the first monitored temperature curves, calculating the temperature anomaly parameters corresponding to each of the axial annular regions; Determine the temperature rise rate and the maximum monitored temperature value corresponding to the axial annular area according to the first monitored temperature curve and the corresponding historical monitored temperature data; Taking the natural constant as the base and the inverse of the difference between the maximum monitored temperature value and the preset tire thermal tolerance temperature threshold as the exponent, a corresponding exponential power is obtained, and the reciprocal of the sum of the exponential power and 1 is used as the temperature tolerance parameter; The product value of the temperature abnormality parameter, the temperature rise rate and the temperature tolerance parameter is used as the abnormal temperature evaluation value.

6. A method for monitoring temperature in a tire according to claim 5, characterized in that: Calculating the temperature anomaly parameters corresponding to the axial annular regions based on the first monitored temperature curves specifically includes: Calculating, according to each curve value of the first monitoring temperature curve, an average monitoring temperature value corresponding to each of the grid temperature measurement areas of the axial annular area; Calculate the square value of the difference between each of the curve values ​​and the average monitored temperature value, calculate the sum of the square values ​​of the difference, and use the square root of the sum as the first parameter value; The product value of the number of the grid temperature measurement areas of the corresponding axial annular area and the preset tire inner surface temperature fluctuation standard deviation is used as the second parameter value; The result of dividing the first parameter value by the second parameter value is used as the temperature anomaly parameter corresponding to the corresponding axial annular area.

7. A method for monitoring temperature in a tire according to claim 1, characterized in that: Before inputting the first monitoring temperature curve group corresponding to each of the first temperature anomaly regions into a pre-trained DBSCAN model to determine the temperature anomaly merged region, and generating the second monitoring temperature curve corresponding to the temperature anomaly merged region, the method further includes: Acquire a number of monitoring temperature curve group samples; each of the monitoring temperature curve group samples is pre-marked with an abnormal associated group identifier of each monitoring temperature sample curve; the abnormal associated group identifier is obtained based on each of the monitoring temperature sample curves and its corresponding temperature abnormal position; Through the DBSCAN model to be trained, cluster processing is performed on each of the monitored temperature curve group samples, and the cluster processing results are compared with each abnormal associated group, so as to correct the model parameters of the DBSCAN model according to the comparison results, until the comparison results meet the preset conditions, and the pre-trained DBSCAN model is obtained; wherein, the model parameters include at least: a neighborhood radius and a minimum number of points in the neighborhood; the preset condition is that each clustering cluster corresponding to the cluster processing result matches the corresponding each abnormal associated group.

8. The method for monitoring temperature in a tire according to claim 1, characterized in that: Determining a second temperature abnormality area on the inner surface of the tire based on the second monitored temperature curve and a preset tire circumferential positioning rule specifically includes: Determining, according to the temperature anomaly combined area corresponding to the second monitoring temperature curve, a tire inner surface circumference corresponding to the corresponding axial annular area; Determine a tire circumferential positioning fitting equation according to the circumference of the tire inner surface and the setting position of the panoramic temperature monitoring module; wherein the tire circumferential positioning fitting equation includes a correlation relationship between the horizontal coordinate point of the second monitoring temperature curve and the position of the tire inner surface; Slide the preset sliding window from left to right along the second monitoring temperature curve according to a preset step length, so as to determine whether there is an abnormal temperature data point in the preset sliding window at each sliding position based on a preset abnormal temperature judgment condition; the preset abnormal temperature judgment condition includes at least one or more of the following: whether there is a temperature value greater than a preset temperature threshold, and whether the temperature change rate is greater than a preset change threshold; If so, the horizontal coordinate interval corresponding to the preset sliding window is determined to be an abnormal coordinate interval, so as to determine the second temperature abnormal area corresponding to the abnormal coordinate interval according to the abnormal coordinate interval and the tire circumferential positioning fitting equation.

9. A tire temperature monitoring device, characterized in that: The device comprises: A first determination module is used to determine a first monitoring temperature data set corresponding to a plurality of grid temperature measurement areas on the inner surface of the tire based on a panoramic temperature monitoring module pre-set on the rim surface; A generating module, configured to generate first monitoring temperature curves corresponding to the axial annular areas according to the plurality of axial annular areas and the first monitoring temperature data set; wherein the axial annular area takes the length of the corresponding grid temperature measurement area along the axial direction of the tire as the annular thickness, and forms a closed circular area on the inner surface of the tire; a second determination module, configured to determine an abnormal temperature evaluation value corresponding to each of the first monitoring temperature curves based on each of the first monitoring temperature curves and the historical monitoring temperature data and a preset abnormal temperature evaluation algorithm, so as to determine a first temperature abnormality area according to the abnormal temperature evaluation value; An input module, used for inputting a first monitoring temperature curve group corresponding to each of the first temperature anomaly regions into a pre-trained DBSCAN model to determine a temperature anomaly merge region, and generating a second monitoring temperature curve corresponding to the temperature anomaly merge region; The third determination module is used to determine the second temperature abnormality area on the inner surface of the tire based on the second monitoring temperature curve and the preset tire circumferential positioning rule, so as to generate early warning prompt information according to the second temperature abnormality area and send it to the user terminal to continuously monitor and warn the temperature inside the tire.

10. A tire temperature monitoring device, characterized in that: The device comprises: at least one processor; and, a memory communicatively connected to the at least one processor; wherein, The memory stores instructions executable by the at least one processor, and the instructions are executed by the at least one processor so that the at least one processor can execute a tire temperature monitoring method as described in any one of claims 1 to 8.

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