Tire airtightness detection method

Abstract

The invention provides a tire airtightness detection method, which belongs to the technical field of airtightness detection, and comprises the following steps: step 1, determining a target tire to be detected, obtaining basic parameter information according to factory information of a sensor and the target tire, and obtaining surrounding environment parameters; 2, preparing a target tool and equipment for air tightness detection, and constructing an air tightness detection system; 3, dividing the target tire into different areas based on the basic parameter information, and detecting air pressure data in real time to obtain first air pressure data; 4, substituting the first air pressure data into the air tightness prediction model to obtain air tightness abnormal values of different areas; 5, if the air tightness abnormal value is larger than the first early warning threshold value and smaller than the second early warning threshold value, specific abnormal points are determined for the area with the air tightness abnormal value through a bubble point detection method, and the abnormal points are repaired; and if the air tightness abnormal value is greater than a second early warning threshold value, judging that the tire is seriously damaged. The air tightness detection accuracy is improved, and the detection efficiency is improved.

Description

Technical Field

[0001] The present invention relates to the technical field of air tightness detection, and in particular to a tire air tightness detection method. Background Art

[0002] At present, in the vehicle production line, the air tightness test of the tire is an important part of the final inspection link, usually to determine whether the tire meets the air tightness requirements. At present, the air tightness of the tire is only tested by the pressure difference method, which leads to large deviations in the judgment results and low detection efficiency.

[0003] Therefore, the present invention proposes a tire air tightness detection method. Summary of the invention

[0004] The present invention provides a tire air tightness detection method, which is used to build an air tightness detection system, partition the target detection tire, obtain the tire pressure changes in different partitions, and compare them with the abnormal air pressure threshold parameters to obtain the abnormal area, then detect the abnormal points in the abnormal area in detail to complete the tire air tightness detection process.

[0005] In one aspect, the present invention provides a tire air tightness detection method, comprising: Step 1: Determine the target tire to be detected, obtain basic parameter information of the target tire to be detected based on the factory information of the sensor and the target tire, and obtain the surrounding environment parameters; Step 2: Prepare target tools and equipment for air tightness testing, build an air tightness testing system, and detect the air pressure of the target tire to be tested at the current moment as the initial air pressure; Step 3: Based on the basic parameter information of the target tire to be detected, the target tire to be detected is divided into different areas, and the air pressure data of the different areas are detected in real time by using the air tightness detection system to obtain the first air pressure data; Step 4: Substitute the first air pressure data into the air tightness prediction model, compare it with the basic parameter information of the target tire, and obtain the air tightness abnormal values ​​of different areas of the tire; Step 5: If the air tightness abnormality value is greater than the first warning threshold and less than the second warning threshold, the bubble point detection method is used to determine the specific abnormal point of the tire area with air tightness abnormality, and the abnormal point is repaired; if the air tightness abnormality value is greater than the second warning threshold, it is determined that the tire is seriously damaged.

[0006] On the other hand, the target tire to be detected is determined, and the basic parameter information of the target tire to be detected is obtained according to the factory information of the sensor and the target tire, including: According to the specific tire that needs to be tested for air tightness, a target tire to be tested is determined, and the corresponding initial factory data is matched in the tire production library according to the production number of the target tire to be tested; Filter the initial factory data according to the preset data type to obtain the factory information of the target tire to be tested; A tire parameter sensor of a corresponding type is selected according to a preset data type, and after the tire parameter sensor is installed, data is detected on a target tire to be detected to obtain basic parameter information of the target tire to be detected.

[0007] On the other hand, the surrounding environment parameters are obtained based on sensors, including: According to the instructions of the environmental sensors, determine the installation requirements of different types of environmental sensors, determine the installation positions corresponding to all types of environmental sensors according to the installation requirements of the environmental sensors, and configure each environmental sensor at the installation position corresponding to the environmental sensor; Based on the environmental sensor, the surrounding environmental parameter data at the current moment is obtained as the initial environmental parameter.

[0008] On the other hand, target tools and equipment for air tightness detection are prepared, an air tightness detection system is constructed, and the air pressure of the target tire to be detected at the current moment is detected as the initial air pressure, including: According to the mapping table of tire air tightness testing equipment and initial environmental parameters, select air tightness testing equipment and build the air tightness testing physical environment together with the preset air tightness testing target tool; Connecting a pressure data collector to a physical environment for air tightness detection to collect pressure data inside a target tire in real time, wherein the pressure data collector and the physical environment for air tightness detection constitute an air tightness detection system; The target tire to be tested is installed in the air tightness testing system, and the air pressure of the target tire to be tested at the current moment is detected as the initial air pressure.

[0009] On the other hand, based on the basic parameter information of the target tire to be detected, the target tire to be detected is divided into different areas, including: According to the basic parameter information of the target tire to be detected, obtaining the tread coordinate system of the target tire to be detected; Process the basic parameter information of the target tire to be detected, extract the characteristic parameter values ​​of the tire tread, and obtain the optimal number of partitions: ;in, represents the optimal number of partitions, F( ) represents the selection function, represents the characteristic value of the i-th characteristic parameter, n represents that there are n types of characteristic parameters in total, Represents the weight coefficient corresponding to the total amount of characteristic parameters, Indicates from all The change in characteristic parameters corresponding to the minimum value obtained in Indicates from all The characteristic parameter change corresponding to the maximum value obtained in Represents the weight coefficient of the i-th feature parameter; The tread coordinate system is equally divided according to the optimal number of partitions to obtain different areas of the target tire to be detected.

[0010] On the other hand, the air tightness detection system is used to detect the air pressure data of different areas in real time to obtain the first air pressure data, including: Connect the target tire to be tested to the air tightness testing system, and obtain the air pressure data in any area of ​​the tire in real time through the air tightness testing system; Preprocess the air pressure data to obtain standard air pressure data; The standard air pressure data is time-standardized according to a preset standard time interval combined with a normal distribution function to obtain a time period consisting of standard time nodes and the corresponding processed point-to-point air pressure data; The standard time node and its corresponding point air pressure data constitute the first air pressure data of the area.

[0011] On the other hand, the first air pressure data is substituted into the air tightness prediction model and compared with the basic parameter information of the target tire to be tested to obtain air tightness abnormal values ​​of different areas of the tire, including: Substituting the first air pressure data into the air tightness prediction model to obtain an air pressure index of the area; ; Where G represents the air pressure index, represents the allocation coefficient of the time coefficient of the jth standard time node, Indicates that there are a total of m standard time nodes, Indicates the air pressure index coefficient, represents the first air pressure data value corresponding to the jth standard time node, represents the jth standard time node, represents the j-1th standard time node, represents the first air pressure data value corresponding to the j-1th standard time node, represents the maximum first air pressure data value in the first air pressure data, represents the minimum first air pressure data value in the first air pressure data, and e represents an error parameter; According to the basic parameter information and the initial air pressure of the target tire, a standard air pressure threshold range of the area is obtained according to a threshold function; Comparing the air pressure index of the area with the standard air pressure threshold to obtain an abnormal air tightness value of the area; ; Wherein, A represents the abnormal value of air tightness of the area, Indicates the left value of the standard air pressure threshold range, represents the right value of the standard air pressure threshold range, T( ) represents the airtightness analysis function; Finally, the airtightness anomaly values ​​of all areas are obtained.

[0012] On the other hand, if the air tightness abnormality value is greater than the first warning threshold and less than the second warning threshold, the specific abnormal point is determined by the bubble point detection method for the tire area with air tightness abnormality, and the abnormal point is repaired; if the air tightness abnormality value is greater than the second warning threshold, it is determined that the tire is seriously damaged, including: Obtaining an abnormal air tightness value of any area and comparing it with a first warning threshold of the target tire; if the abnormal air tightness value is greater than the first warning threshold and less than a second warning threshold, determining that the area of ​​the target tire has an abnormal air tightness; detecting the area according to a bubble point detection method; analyzing the bubble emergence point of the area according to an image analysis device; locating a specific abnormal point and performing subsequent repair processing; If the air tightness abnormality value is greater than the second warning threshold, it is determined that the tread of the area is severely damaged, and a danger warning is issued for the tire; On the contrary, there is no airtightness abnormality in the region.

[0013] Compared with the prior art, the present invention has the following beneficial effects: The present invention provides a tire air tightness detection method, which is used to build an air tightness detection system, partition the target detection tire, obtain the tire pressure changes in different partitions, and compare them with the abnormal air pressure threshold parameters to obtain the abnormal area, then detect the abnormal points in the abnormal area in detail to complete the tire air tightness detection process. BRIEF DESCRIPTION OF THE DRAWINGS

[0014] In order to more clearly illustrate the technical solutions in the present invention or the prior art, the following briefly introduces the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0015] Figure 1 It is a flow chart of a tire air tightness detection method provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0016] In order to make the purpose, technical solution and advantages of the present invention clearer, the technical solution of the present invention will be clearly and completely described below in conjunction with the drawings of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0017] Embodiment 1: like Figure 1 As shown, a tire air tightness detection method provided by an embodiment of the present invention includes: Step 1: Determine the target tire to be detected, obtain basic parameter information of the target tire to be detected based on the factory information of the sensor and the target tire, and obtain the surrounding environment parameters; Step 2: Prepare target tools and equipment for air tightness testing, build an air tightness testing system, and detect the air pressure of the target tire to be tested at the current moment as the initial air pressure; Step 3: Based on the basic parameter information of the target tire to be detected, the target tire to be detected is divided into different areas, and the air pressure data of the different areas are detected in real time by using the air tightness detection system to obtain the first air pressure data; Step 4: Substitute the first air pressure data into the air tightness prediction model, compare it with the basic parameter information of the target tire, and obtain the air tightness abnormal values ​​of different areas of the tire; Step 5: If the air tightness abnormality value is greater than the first warning threshold and less than the second warning threshold, the bubble point detection method is used to determine the specific abnormal point of the tire area with air tightness abnormality, and the abnormal point is repaired; if the air tightness abnormality value is greater than the second warning threshold, it is determined that the tire is seriously damaged.

[0018] In this embodiment, the target tire to be tested refers to a specific vehicle tire that needs to be tested for air tightness.

[0019] In this embodiment, the sensors are used to collect data of the target tire to be detected and parameters of the surrounding environment, including: a temperature sensor, a length measuring instrument, a weight measuring instrument, etc.

[0020] In this embodiment, the factory information refers to the basic parameters and specifications of the target tire to be tested, including: tire model and size, maximum load and maximum speed rating, production date, material and structure, etc.

[0021] In this embodiment, the basic parameter information refers to the specific technical specifications and properties of the target tire to be detected, including: tire model and size, maximum load and maximum speed rating, production date, material and structure and other data.

[0022] In this embodiment, the surrounding environment parameters refer to external conditions and factors that affect the tire pressure and airtightness detection accuracy, including: temperature, atmospheric pressure, humidity, altitude, light and other parameters.

[0023] In this embodiment, the target tools and equipment include: air pressure sensors, environmental parameter monitoring equipment, air tightness detection systems, bubble point detection equipment and other equipment.

[0024] In this embodiment, the airtightness detection system is a system that integrates multiple hardware and software components and is used to monitor and evaluate the airtightness of tires or other sealed containers in real time.

[0025] In this embodiment, air pressure refers to the capacity of a closed area so that the gas inside it will not flow out uncontrollably or the outside air will not enter uncontrollably.

[0026] In this embodiment, the region refers to that the tire is divided into several partitions.

[0027] In this embodiment, the first air pressure data refers to the air pressure data of the target tire to be tested measured by the air tightness testing system at the initial moment.

[0028] In this embodiment, the air tightness prediction model is a model for predicting whether the tire has air tightness abnormality based on the air pressure data of each area of ​​the tire and the basic parameter information of the tire acquired in real time.

[0029] In this embodiment, the air tightness abnormal value refers to the difference between the air pressure data of each area of ​​the tire obtained according to real-time detection and the ideal air pressure value predicted by the prediction model.

[0030] In this embodiment, the first warning threshold refers to the first warning value used to determine whether there is an abnormality in the tire during tire air tightness detection.

[0031] In this embodiment, the second warning threshold refers to a warning value used to determine whether the tire is severely damaged during tire air tightness detection, and is higher than the first warning threshold.

[0032] In this embodiment, the bubble point detection method uses liquid (usually water or a specific detection liquid) to form bubbles on the surface of the detected object to detect the location and extent of gas leakage.

[0033] In this embodiment, the abnormal points are specific locations where gas leaks occur in different regions detected by the bubble point detection method.

[0034] In this embodiment, the repair process is to select a suitable repair material according to the size and location of the leak and perform a repair operation.

[0035] In this embodiment, severe damage means that the severity of the tire airtightness problem cannot be repaired.

[0036] The working principle and beneficial effects of the above technical solution are: through real-time air pressure monitoring and predictive model analysis, tire air tightness problems can be accurately detected and repaired, thereby improving safety and tire use efficiency.

[0037] Embodiment 2: On the basis of the above-mentioned embodiment 1, the target tire to be detected is determined, and the basic parameter information of the target tire to be detected is obtained according to the factory information of the sensor and the target tire, including: According to the specific tire that needs to be tested for air tightness, a target tire to be tested is determined, and the corresponding initial factory data is matched in the tire production library according to the production number of the target tire to be tested; Filter the initial factory data according to the preset data type to obtain the factory information of the target tire to be tested; A tire parameter sensor of a corresponding type is selected according to a preset data type, and after the tire parameter sensor is installed, data is detected on a target tire to be detected to obtain basic parameter information of the target tire to be detected.

[0038] In this embodiment, the air tightness detection is a process of determining the air tightness of the tire by collecting real-time air pressure data of the tire to be detected.

[0039] In this embodiment, the production number is a unique identifier assigned by the tire manufacturer to distinguish different tires, and includes information such as the production date, batch, and specifications of the tire.

[0040] In this embodiment, the tire production library refers to a database that stores relevant information in the tire production process, including the production date, production batch, specification, production line information, etc. of the tire.

[0041] In this embodiment, the initial factory data refers to key information matched in the tire production database according to the production number.

[0042] In this embodiment, the preset data type refers to a data category preset when performing tire testing for air tightness testing, including tire pressure, temperature, size, material composition, etc.

[0043] In this embodiment, the tire parameter sensor is a device used to measure and monitor the tire status, including: a pressure sensor, a temperature sensor, a wear sensor, etc.

[0044] The working principle and beneficial effects of the above technical solution are: monitoring tire pressure and temperature through sensors, improving safety and tire life, optimizing detection system performance, and providing support for subsequent data collection.

[0045] Embodiment 3: Based on the above embodiment 1, the surrounding environment parameters are obtained according to the sensor, including: According to the instructions of the environmental sensors, determine the installation requirements of different types of environmental sensors, determine the installation positions corresponding to all types of environmental sensors according to the installation requirements of the environmental sensors, and configure each environmental sensor at the installation position corresponding to the environmental sensor; Based on the environmental sensor, the surrounding environmental parameter data at the current moment is obtained as the initial environmental parameter.

[0046] In this embodiment, the environmental sensor is a type of device used to measure ambient environment parameters, including: temperature sensor, humidity sensor, light sensor, etc.

[0047] In this embodiment, the instruction manual refers to the technical specification manual of the equipment, which contains detailed information about the installation, operation, maintenance and performance characteristics of the equipment.

[0048] In this embodiment, the installation requirements refer to the technical characteristics and working principles of the environmental sensor, including: identification range, installation method, environmental conditions, etc.

[0049] In this embodiment, the installation position refers to selecting a suitable specific position to install the sensor according to the technical requirements and application scenarios of the environmental sensor.

[0050] In this embodiment, the initial environmental parameters refer to various data of environmental conditions obtained by the environmental sensor at the installation location, including temperature, humidity, light, etc.

[0051] The working principle and beneficial effects of the above technical solution are: based on the installation requirements of environmental sensors, different environmental parameters are configured and monitored to provide support for subsequent analysis of air pressure data.

[0052] Embodiment 4: On the basis of the above-mentioned embodiment 3, a target tool and equipment for air tightness detection are prepared, an air tightness detection system is constructed, and the air pressure of the target tire to be detected at the current moment is detected as the initial air pressure, including: According to the mapping table of tire air tightness testing equipment and initial environmental parameters, select air tightness testing equipment and build the air tightness testing physical environment together with the preset air tightness testing target tool; Connecting a pressure data collector to a physical environment for air tightness detection to collect pressure data inside a target tire in real time, wherein the pressure data collector and the physical environment for air tightness detection constitute an air tightness detection system; The target tire to be tested is installed in the air tightness testing system, and the air pressure of the target tire to be tested at the current moment is detected as the initial air pressure.

[0053] In this embodiment, the mapping table of tire air tightness testing equipment-initial environmental parameters refers to a mapping table of air tightness testing equipment corresponding to different initial environmental parameters.

[0054] In this embodiment, the air tightness detection device is an instrument specially designed to measure the air tightness and internal pressure of the tire, including: a pressure sensor or detector, an air tightness detection instrument, an environmental control device, etc.

[0055] In this embodiment, the air tightness detection physical environment refers to a specific environment constructed for performing tire air tightness testing.

[0056] In this embodiment, the pressure data collector refers to a data acquisition sensor, which is used to collect the pressure data inside the target tire in real time.

[0057] The working principle and beneficial effects of the above technical solution are: by real-time monitoring of tire pressure, air leakage and accident risks can be prevented, and the accuracy of air tightness detection and maintenance efficiency can be improved.

[0058] Embodiment 5: On the basis of the above-mentioned embodiment 2, based on the basic parameter information of the target tire to be detected, the target tire to be detected is divided into different areas, including: According to the basic parameter information of the target tire to be detected, obtaining the tread coordinate system of the target tire to be detected; Process the basic parameter information of the target tire to be detected, extract the characteristic parameter values ​​of the tire tread, and obtain the optimal number of partitions: ;in, represents the optimal number of partitions, F( ) represents the selection function, represents the characteristic value of the i-th characteristic parameter, n represents that there are n types of characteristic parameters in total, Represents the weight coefficient corresponding to the total amount of characteristic parameters, Indicates from all The change in characteristic parameters corresponding to the minimum value obtained in Indicates from all The characteristic parameter change corresponding to the maximum value obtained in Represents the weight coefficient of the i-th feature parameter; The tread coordinate system is equally divided according to the optimal number of partitions to obtain different areas of the target tire to be detected.

[0059] In this embodiment, the tread coordinate system refers to a geometric coordinate system of the tire surface, which is a plane coordinate system based on the tire centerline.

[0060] In this embodiment, the characteristic parameter value refers to a specific value used to describe the tire tread characteristics, including parameters such as tire diameter, tire width, tire profile ratio, and tire shoulder angle.

[0061] In this embodiment, the optimal number of partitions refers to the number of partitions of the tread features of the best target tire to be detected.

[0062] In this embodiment, the selection function determines the optimal number of partitions according to the characteristic parameter values ​​of the tire and other conditions.

[0063] In this embodiment, the weight coefficient represents the importance of different tread characteristic parameters in the overall air tightness.

[0064] In this embodiment, the characteristic parameter variation refers to the variation constant of the tread characteristic parameter of the target tire to be detected in the entire data set. refer to This characteristic parameter is The change component of the weight coefficients of all parameters.

[0065] In this embodiment, equal division refers to dividing the tread coordinate system of the target tire to be inspected into a number of equal areas according to the obtained optimal number of partitions.

[0066] The working principle and beneficial effects of the above technical solution are: based on the dynamic partitioning of tire parameters, the detection accuracy and efficiency are improved, it is suitable for multiple types of tires, and the versatility of the airtightness detection system is improved.

[0067] Embodiment 6: On the basis of the above-mentioned embodiment 5, the air pressure data of different areas are detected in real time by using the air tightness detection system to obtain the first air pressure data, including: Connect the target tire to be tested to the air tightness testing system, and obtain the air pressure data in any area of ​​the tire in real time through the air tightness testing system; Preprocess the air pressure data to obtain standard air pressure data; The standard air pressure data is time-standardized according to a preset standard time interval combined with a normal distribution function to obtain a time period consisting of standard time nodes and the corresponding processed point-to-point air pressure data; The standard time node and its corresponding point air pressure data constitute the first air pressure data of the area.

[0068] In this embodiment, access refers to installing the tire into the air tightness detection device, connecting the access end of the collector to the air pressure detection sensor inside the area to be detected, and observing the air pressure changes in the detection area in real time in the device.

[0069] In this embodiment, preprocessing refers to processing operations performed on the original air pressure data obtained from the tire in-tire pressure data collector, including steps such as data cleaning, data conversion, and standardization.

[0070] In this embodiment, the standard air pressure data refers to the tire air pressure data that has been pre-processed.

[0071] In this embodiment, the preset standard time interval refers to a fixed time interval set in advance, and the standard air pressure data is sampled and time-standardized.

[0072] In this embodiment, the normal distribution function refers to normal distribution, and standardized data is obtained by processing the mean, standardization, and variance parameters of the data.

[0073] In this embodiment, the standard time node refers to a fixed time point divided according to a preset time interval.

[0074] The working principle and beneficial effects of the above technical solution are: by real-time detection of tire pressure data and precise preprocessing and time standardization, the accuracy and efficiency of air tightness detection are improved, which helps to timely identify tire problems and optimize maintenance, thereby enhancing vehicle safety and performance.

[0075] Embodiment 7: On the basis of the above-mentioned embodiment 6, the first air pressure data is substituted into the air tightness prediction model and compared with the basic parameter information of the target tire to be detected to obtain air tightness abnormal values ​​of different areas of the tire, including: Substituting the first air pressure data into the air tightness prediction model to obtain an air pressure index of the area; ; Where G represents the air pressure index, represents the allocation coefficient of the time coefficient of the jth standard time node, Indicates that there are a total of m standard time nodes, Indicates the air pressure index coefficient, represents the first air pressure data value corresponding to the jth standard time node, represents the jth standard time node, represents the j-1th standard time node, represents the first air pressure data value corresponding to the j-1th standard time node, represents the maximum first air pressure data value in the first air pressure data, represents the minimum first air pressure data value in the first air pressure data, and e represents an error parameter; According to the basic parameter information and the initial air pressure of the target tire, a standard air pressure threshold range of the area is obtained according to a threshold function; Comparing the air pressure index of the area with the standard air pressure threshold to obtain an abnormal air tightness value of the area; ; Wherein, A represents the abnormal value of air tightness of the area, Indicates the left value of the standard air pressure threshold range, represents the right value of the standard air pressure threshold range, T( ) represents the airtightness analysis function; Finally, the airtightness anomaly values ​​of all areas are obtained.

[0076] In this embodiment, the allocation coefficient represents a weighting of the influence of the air pressure data at each standard time node in the air tightness prediction model.

[0077] In this embodiment, the air pressure index is used to describe the air pressure data of a certain area at different standard time nodes.

[0078] In this embodiment, the air pressure index coefficient is used to calculate a constant of an abnormal value of air tightness in a certain area.

[0079] In this embodiment, the error parameter is a constant used to measure the deviation between the expected result in the prediction model and the actual observed value.

[0080] In this embodiment, the threshold function is a function used to determine the standard air pressure threshold range of the area, and is a function derived based on statistical analysis, engineering experience or theoretical model.

[0081] In this embodiment, the standard air pressure threshold range refers to a set of reasonable air pressure ranges determined by a threshold function.

[0082] In this embodiment, the airtightness analysis function evaluates and analyzes the airtightness abnormality of the target tire through the tire internal air pressure.

[0083] The working principle and beneficial effects of the above technical solution are: using real-time air pressure data and prediction models, comparing with standard air pressure thresholds, detecting abnormal tire air tightness, improving safety and performance, shortening air tightness detection time and improving detection efficiency.

[0084] Embodiment 8: On the basis of the above-mentioned embodiment 7, if the air tightness abnormality value is greater than the first warning threshold and less than the second warning threshold, the specific abnormal point is determined by using the bubble point detection method for the tire area with air tightness abnormality, and the abnormal point is repaired; if the air tightness abnormality value is greater than the second warning threshold, it is determined that the tire is seriously damaged, including: Obtaining an abnormal air tightness value of any area and comparing it with a first warning threshold of the target tire; if the abnormal air tightness value is greater than the first warning threshold and less than a second warning threshold, determining that the area of ​​the target tire has an abnormal air tightness; detecting the area according to a bubble point detection method; analyzing the bubble emergence point of the area according to an image analysis device; locating a specific abnormal point and performing subsequent repair processing; If the air tightness abnormality value is greater than the second warning threshold, it is determined that the tread of the area is severely damaged, and a danger warning is issued for the tire; On the contrary, there is no airtightness abnormality in the region.

[0085] In this embodiment, the image analysis device refers to a device specifically used to acquire, process and analyze image information.

[0086] In this embodiment, the bubble emergence point refers to the specific location of the bubble found on the tire surface or sidewall by the image analysis device.

[0087] The working principle and beneficial effects of the above technical solution are: judging tire air tightness abnormality through multi-level thresholds, using bubble point detection to locate and repair moderate abnormalities, and issuing alarms for severe abnormalities, thereby ensuring the accuracy of air tightness detection and realizing intelligent management.

[0088] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit it. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent replacements for some of the technical features therein. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A tire air tightness detection method, characterized in that: include: Step 1: Determine the target tire to be detected, obtain basic parameter information of the target tire to be detected based on the factory information of the sensor and the target tire, and obtain the surrounding environment parameters; Step 2: Prepare target tools and equipment for air tightness testing, build an air tightness testing system, and detect the air pressure of the target tire to be tested at the current moment as the initial air pressure; Step 3: Based on the basic parameter information of the target tire to be detected, the target tire to be detected is divided into different areas, and the air pressure data of the different areas are detected in real time by using the air tightness detection system to obtain the first air pressure data; Step 4: Substitute the first air pressure data into the air tightness prediction model, compare it with the basic parameter information of the target tire, and obtain the air tightness abnormal values ​​of different areas of the tire; Step 5: If the air tightness abnormality value is greater than the first warning threshold and less than the second warning threshold, the bubble point detection method is used to determine the specific abnormal point of the tire area with air tightness abnormality, and the abnormal point is repaired; if the air tightness abnormality value is greater than the second warning threshold, it is determined that the tire is seriously damaged.

2. A tire air tightness detection method according to claim 1, characterized in that: Determine the target tire to be detected, and obtain basic parameter information of the target tire to be detected based on the factory information of the sensor and the target tire, including: According to the specific tire that needs to be tested for air tightness, a target tire to be tested is determined, and the corresponding initial factory data is matched in the tire production library according to the production number of the target tire to be tested; Filter the initial factory data according to the preset data type to obtain the factory information of the target tire to be tested; A tire parameter sensor of a corresponding type is selected according to a preset data type, and after the tire parameter sensor is installed, data is detected on a target tire to be detected to obtain basic parameter information of the target tire to be detected.

3. A tire air tightness detection method according to claim 1, characterized in that: Obtain surrounding environment parameters based on sensors, including: According to the instructions of the environmental sensors, determine the installation requirements of different types of environmental sensors, determine the installation positions corresponding to all types of environmental sensors according to the installation requirements of the environmental sensors, and configure each environmental sensor at the installation position corresponding to the environmental sensor; Based on the environmental sensor, the surrounding environmental parameter data at the current moment is obtained as the initial environmental parameter.

4. A tire air tightness detection method according to claim 3, characterized in that: Prepare target tools and equipment for air tightness testing, build an air tightness testing system, and detect the air pressure of the target tire to be tested at the current moment as the initial air pressure, including: According to the mapping table of tire air tightness testing equipment and initial environmental parameters, select air tightness testing equipment and build the air tightness testing physical environment together with the preset air tightness testing target tool; Connecting a pressure data collector to a physical environment for air tightness detection to collect pressure data inside a target tire in real time, wherein the pressure data collector and the physical environment for air tightness detection constitute an air tightness detection system; The target tire to be tested is installed in the air tightness testing system, and the air pressure of the target tire to be tested at the current moment is detected as the initial air pressure.

5. A tire air tightness detection method according to claim 2, characterized in that: Based on the basic parameter information of the target tire to be detected, the target tire to be detected is divided into different areas, including: According to the basic parameter information of the target tire to be detected, obtaining the tread coordinate system of the target tire to be detected; Process the basic parameter information of the target tire to be detected, extract the characteristic parameter values ​​of the tire tread, and obtain the optimal number of partitions: ;in, represents the optimal number of partitions, F( ) represents the selection function, represents the characteristic value of the i-th characteristic parameter, n represents that there are n types of characteristic parameters in total, Represents the weight coefficient corresponding to the total amount of characteristic parameters, Indicates from all The change in characteristic parameters corresponding to the minimum value obtained in Indicates from all The characteristic parameter change corresponding to the maximum value obtained in Represents the weight coefficient of the i-th feature parameter; The tread coordinate system is equally divided according to the optimal number of partitions to obtain different areas of the target tire to be detected.

6. A tire air tightness detection method according to claim 5, characterized in that: The air tightness detection system is used to detect the air pressure data of different areas in real time to obtain the first air pressure data, including: Connect the target tire to be tested to the air tightness testing system, and obtain the air pressure data in any area of ​​the tire in real time through the air tightness testing system; Preprocess the air pressure data to obtain standard air pressure data; The standard air pressure data is time-standardized according to a preset standard time interval combined with a normal distribution function to obtain a time period consisting of standard time nodes and the corresponding processed point-to-point air pressure data; The standard time node and its corresponding point air pressure data constitute the first air pressure data of the area.

7. A tire air tightness detection method according to claim 6, characterized in that: Substitute the first air pressure data into the air tightness prediction model and compare it with the basic parameter information of the target tire to be tested to obtain the air tightness abnormal values ​​of different areas of the tire, including: Substituting the first air pressure data into the air tightness prediction model to obtain an air pressure index of the area; ; Where G represents the air pressure index, represents the allocation coefficient of the time coefficient of the jth standard time node, Indicates that there are a total of m standard time nodes, Indicates the air pressure index coefficient, represents the first air pressure data value corresponding to the jth standard time node, represents the jth standard time node, represents the j-1th standard time node, represents the first air pressure data value corresponding to the j-1th standard time node, represents the maximum first air pressure data value in the first air pressure data, represents the minimum first air pressure data value in the first air pressure data, and e represents an error parameter; According to the basic parameter information and the initial air pressure of the target tire, a standard air pressure threshold range of the area is obtained according to a threshold function; Comparing the air pressure index of the area with the standard air pressure threshold to obtain an abnormal air tightness value of the area; ; Wherein, A represents the abnormal value of air tightness of the area, Indicates the left value of the standard air pressure threshold range, represents the right value of the standard air pressure threshold range, T( ) represents the airtightness analysis function; Finally, the airtightness anomaly values ​​of all areas are obtained.

8. A tire air tightness detection method according to claim 7, characterized in that: If the air tightness abnormality value is greater than the first warning threshold and less than the second warning threshold, a bubble point detection method is used to determine the specific abnormal point of the tire area with air tightness abnormality, and the abnormal point is repaired; If the air tightness abnormality value is greater than the second warning threshold, the tire is judged to be seriously damaged, including: Obtaining an abnormal air tightness value of any area and comparing it with a first warning threshold of the target tire; if the abnormal air tightness value is greater than the first warning threshold and less than a second warning threshold, determining that the area of ​​the target tire has an abnormal air tightness; detecting the area according to a bubble point detection method; analyzing the bubble emergence point of the area according to an image analysis device; locating a specific abnormal point and performing subsequent repair processing; If the air tightness abnormality value is greater than the second warning threshold, it is determined that the tread of the area is severely damaged, and a danger warning is issued for the tire; On the contrary, there is no airtightness abnormality in the region.

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