System and method for intelligently detecting depth of tire pattern

Abstract

The invention discloses a system and method for intelligently detecting the depth of a tire pattern, and belongs to the technical field of tire safety detection.The system comprises a control system and a detection platform, and the detection platform comprises a base plate and trapezoidal ribs fixedly arranged on the base plate; the control system comprises a detection switch module, an image scanning module, an image generation module, a tread pattern calculation module and a depth judgment module, the detection switch module comprises infrared contact switches arranged on the two sides of the trapezoidal bead, and the image scanning module comprises a laser scanner arranged on the top of the trapezoidal bead and is used for generating three-dimensional coordinate information; the image generation module is used for generating a tire surface three-dimensional image, the tread pattern calculation module calculates the difference value between the maximum height and the minimum height, and the depth judgment module judges the relation between the difference value and the early warning height value and the alarm height value. The tire tread depth detection system has the advantages that the tire tread depth can be detected quickly and simply, and manpower is effectively reduced.

Description

Technical Field

[0001] The present invention relates to the field of tire safety detection, and in particular to a system and method for intelligently detecting tire tread depth. Background Art

[0002] Tire tread depth is currently a key indicator for assessing tire condition and safety. Wear is natural for tires, as they are constantly in contact with the road. Not only does this wear from the road surface, but also from oxidation over time, threatens tire safety. Generally, a tread depth of 3.5mm or more is considered relatively safe. Between 2.5mm and 3.5mm, a tire replacement is necessary. Below 2.5mm, a replacement is necessary immediately, as it poses a safety risk. Tread depth is typically measured with a depth gauge, and multiple measurements are performed to ensure accuracy.

[0003] The above-mentioned existing technical solutions have the following defects: currently, it takes a long time to detect the tire tread depth of a vehicle, and manual operation is required. If the vehicle inspection or repair shop needs to detect multiple vehicles, it will take a lot of time and manpower. Summary of the Invention

[0004] In order to detect tire tread depth in a time-saving and labor-saving manner, the present application provides a system and method for intelligently detecting tire tread depth.

[0005] On the one hand, the present application provides a system for intelligently detecting tire tread depth using the following technical solutions: A system for intelligently detecting tire tread depth includes a control system and a detection platform. The detection platform includes a base plate and trapezoidal ridges fixed to the base plate. The control system includes a detection switch module, an image scanning module, an image generation module, a tread calculation module, and a depth judgment module. The detection switch module includes infrared contact switches arranged on both sides of the trapezoidal ridge. When any infrared contact switch detects the presence of an object on the top, it sends a start signal to the image scanning module. When all infrared contact switches do not detect the presence of an object on the top, they send a stop signal to the image scanning module. The image scanning module includes a laser scanner disposed on the top of the trapezoidal ridge. After receiving a start signal, the laser scanner scans the top of the trapezoidal ridge to generate three-dimensional coordinate information, and sends the three-dimensional coordinate information to the image generation module. When the image scanning module receives a stop signal, the laser scanner is controlled to stop working. The image generation module is preset with a three-dimensional coordinate template, generates a three-dimensional image of the tire surface on the three-dimensional coordinate template according to the three-dimensional coordinate information, and sends the three-dimensional image of the tire surface to the tread calculation module; The tread calculation module is preset with a ratio limit, obtains the height of each coordinate point of the three-dimensional image of the tire surface, calculates the proportion of the coordinate points at each height, selects the highest height and the lowest height whose proportion exceeds the ratio limit, calculates the difference between the highest height and the lowest height, and transmits the difference to the depth judgment module; The depth judgment module is preset with a warning height value and an alarm height value. The warning height value is greater than the alarm height value. When the difference is between the warning height value and the alarm height value, the depth judgment module sends a warning signal. When the difference is less than the alarm height value, the depth judgment module sends an alarm signal.

[0006] By adopting this solution, when a vehicle under inspection passes over a trapezoidal ridge, the system automatically captures a 3D model of the tire surface. By analyzing the 3D model, it determines the tread depth of the tire passing over the ridge. Based on the tread depth, a warning signal or alarm is issued. The warning signal reminds the driver to pay attention to the degree of tire wear, while the alarm signal reminds the owner to replace the tire. The inspection process only requires the vehicle to pass by, which is time-saving and eliminates the need for manual wheel tread inspection, saving time and effort.

[0007] Preferably, the control system further includes a danger judgment module, and the image scanning module further includes an infrared flaw detector. After the image scanning module receives an infrared start signal, it controls the infrared flaw detector to scan above the trapezoidal ridge and generate a three-dimensional acoustic wave image. When the image scanning module receives a stop signal, it controls the infrared flaw detector to stop working and transmits the three-dimensional acoustic wave image to the danger judgment module. The hazard judgment module is pre-set with a tire crack form, which includes the tire type and the standard crack depth, crack depth limit and crack number limit associated with the tire type. The hazard judgment module receives the input tire type, calls the standard crack depth, crack depth limit and crack number limit in the tire crack form according to the tire type, searches and selects all cracks in the acoustic three-dimensional map, calculates the depth of each selected crack, retains the selected cracks with a depth greater than or equal to the standard crack depth, and when the depth of any selected crack is greater than the crack depth limit, marks the selected crack and issues a crack too deep alarm, calculates the number of selected cracks retained, and when the number of selected cracks retained is greater than the crack number limit, issues an excessive crack alarm.

[0008] By adopting the above solution, the infrared flaw detector can detect the surface of the tire more carefully, even small cracks can be detected. The three-dimensional sound wave image detected by the infrared flaw detector can be used to analyze whether the cracks on the tire surface affect the safety of the vehicle. If there are too many cracks or the cracks are too deep, it will affect the safety and life of the vehicle.

[0009] Preferably, the danger judgment module has a preset crack length limit, marks the sunken area on the surface of the acoustic wave three-dimensional graph as a crack, takes the difference between the height of the deepest point of the crack and the height of the highest point of the crack as the depth of the crack, and judges the branch line distance between the two points on the top plane of the crack that are farthest apart as the crack length. When the crack length of the crack exceeds the crack length limit, an alarm for excessive crack size is issued.

[0010] By adopting the above solution, if the crack is too long, it can easily cause danger even if the depth and width are very small. The system will automatically determine whether the crack is too long and remind the car owner.

[0011] Preferably, the control system further comprises a tire determination module, which calculates the outer diameter of the tire when the tire abuts against the side surface of the trapezoidal ridge and transmits the outer diameter of the tire to the danger determination module; The tire crack table of the risk judgment module also includes the tire outer diameter, and each tire outer diameter is associated with a tire type. After receiving the tire outer diameter, the risk judgment module calls the corresponding tire type according to the tire outer diameter.

[0012] By adopting the above solution, if the vehicle does not upload vehicle information when entering the detection area, the system can also match the corresponding information of tires of the same size by calculating the outer diameter of the tire, which facilitates subsequent processing.

[0013] Preferably, the tire judgment module includes a plurality of first pressure sensors arranged on one side of the trapezoidal ridge and a plurality of second pressure sensors arranged on the substrate near the position of the trapezoidal ridge. The first pressure sensors are distributed in an array along the inclined surface of the side surface of the trapezoidal ridge, and the second pressure sensors are arranged in an array along the length direction of the basic surface on the substrate. The tire judgment module records the position information of each first pressure sensor and each second pressure sensor. When any first pressure sensor uploads a high-level signal to the tire judgment module, the tire judgment module determines the position of the first pressure sensor and the second pressure sensor currently uploading the high-level signal, and calculates the outer diameter of the tire based on the position of the first pressure sensor and the position of the second pressure sensor.

[0014] By adopting the above solution, when the tire abuts against the pressure sensor, the pressure sensor will generate a high-level signal. The pressure sensor can determine the positions of two points on the tire, and the approximate outer diameter of the tire can be calculated based on the positions of the two points on the tire and the angle between the trapezoidal ridge and the substrate.

[0015] On the other hand, the present application provides a method for intelligently detecting tire tread depth using the following technical solutions: A method for intelligently detecting tire tread depth, including the system for intelligently detecting tire tread depth as described above, comprises the following steps: Preset 3D coordinate template, scale limit, warning height value and alarm height value; The vehicle to be inspected drives over the trapezoidal ridge. When the tire passes the top of the trapezoidal ridge, the infrared contact switch detects the tire's passing time. Based on the passing time, the laser scanner is controlled to scan the top area of ​​the trapezoidal ridge to obtain three-dimensional coordinate information. Generating a three-dimensional image of the tire surface on a three-dimensional coordinate template according to the three-dimensional coordinate information; Obtain the height of each coordinate point of the three-dimensional image of the tire surface, calculate the proportion of the coordinate points at each height, select the highest height and the lowest height whose proportion exceeds the proportion limit, and calculate the difference between the highest height and the lowest height; When the difference is between the warning altitude value and the alarm altitude value, the depth judgment module sends out a warning signal; When the difference is less than the alarm height value, the depth judgment module sends an alarm signal.

[0016] With this solution, when a vehicle under inspection passes over a trapezoidal ridge, a laser scanner automatically captures a 3D model of the tire surface. By analyzing the 3D model, the system determines the tread depth of the tire passing over the ridge. Based on the tread depth, a warning signal or alarm is issued. The warning signal alerts the driver to the degree of tire wear, while the alarm signal reminds the owner to replace the tire. The inspection process only requires the vehicle to pass by, which is time-saving and eliminates the need for manual wheel tread inspection, saving time and effort.

[0017] Preferably, the method further comprises the following steps: An infrared flaw detector is installed on the top of the trapezoidal ridge; A preset tire crack table includes tire types and the standard crack depth, crack depth limit, and crack quantity limit associated with the tire type; The infrared contact switch controls the infrared flaw detector to scan the top area of ​​the trapezoidal ridge according to the elapsed time to obtain a three-dimensional image of the sound wave; Receive the input tire type, and call the standard crack depth, crack depth limit and crack quantity limit in the tire crack form according to the tire type; Search and select all cracks in the three-dimensional acoustic wave map, calculate the depth of each selected crack, and retain the selected cracks whose depth is greater than or equal to the standard crack depth; When the depth of any selected crack is greater than the crack depth limit, the selected crack will be marked and a crack too deep alarm will be issued; Calculate the number of selected fractures to be retained. When the number of selected fractures to be retained is greater than the fracture number limit, an alarm indicating too many fractures will be issued.

[0018] By adopting the above solution, the infrared flaw detector can detect the surface of the tire more carefully, even small cracks can be detected. The three-dimensional sound wave image detected by the infrared flaw detector can be used to analyze whether the cracks on the tire surface affect the safety of the vehicle. If there are too many cracks or the cracks are too deep, it will affect the safety and life of the vehicle.

[0019] Preferably, the method further comprises the following steps: Preset crack length limit; The indented area on the surface of the three-dimensional acoustic wave image is marked as a crack, and the difference between the height of the deepest point of the crack and the height of the highest point of the crack is taken as the depth of the crack; The branch line distance between the two points on the top plane of the crack that are farthest apart is determined as the crack length; When the crack length of the crack exceeds the crack length limit, a crack excessive alarm is issued.

[0020] By adopting the above solution, if the crack is too long, it can easily cause danger even if the depth and width are very small. The system will automatically determine whether the crack is too long and remind the car owner.

[0021] Preferably, the tire crack table further includes tire outer diameters, each tire outer diameter being associated with a tire type; Calculate the tire's outside diameter when the tire abuts the side of the trapezoidal ridge; Call the corresponding tire type according to the tire outer diameter.

[0022] By adopting the above solution, if the vehicle does not upload vehicle information when entering the detection area, the system can also match the corresponding information of tires of the same size by calculating the outer diameter of the tire, which facilitates subsequent processing.

[0023] Preferably, the step of "calculating the outer diameter of the tire when the tire abuts against the side surface of the trapezoidal ridge" further includes: A plurality of first pressure sensors are arranged on one side of the trapezoidal ridge, and the first pressure sensors are distributed along the inclined plane array on the side surface of the trapezoidal ridge; A plurality of second pressure sensors are arranged near the trapezoidal ridges of the substrate, and the second pressure sensors are arranged in an array along the length direction of the basic surface of the substrate; Recording position information of each first pressure sensor and each second pressure sensor; When any first pressure sensor uploads a high-level signal to the tire determination module, determining the positions of the first pressure sensor and the second pressure sensor currently uploading the high-level signal; The tire outer diameter is calculated based on the position of the first pressure sensor and the position of the second pressure sensor.

[0024] By adopting the above solution, when the tire abuts against the pressure sensor, the pressure sensor will generate a high-level signal. The pressure sensor can determine the positions of two points on the tire, and the approximate outer diameter of the tire can be calculated based on the positions of the two points on the tire and the angle between the trapezoidal ridge and the substrate.

[0025] In summary, the present invention has the following beneficial effects: 1. When a vehicle passes over a trapezoidal ridge, the laser scanner automatically captures a 3D model of the tire surface. By analyzing the 3D model, the system determines the tread depth of the tire passing over the ridge. Based on the tread depth, a warning signal or alarm is issued. The warning signal alerts the driver to the degree of tire wear, while the alarm signal reminds the owner to replace the tire. The inspection process only requires the vehicle to pass, which is time-saving and eliminates the need for manual wheel tread inspection, saving time and effort. BRIEF DESCRIPTION OF THE DRAWINGS

[0026] Figure 1 It is a schematic diagram of the overall structure of the detection platform of Example 1 of the present application.

[0027] Figure 2 This is a system block diagram of a control system according to an embodiment of the present application.

[0028] Description of reference numerals: 1. Control system; 11. Detection switch module; 12. Image scanning module; 13. Image generation module; 14. Tread pattern calculation module; 15. Depth judgment module; 16. Hazard judgment module; 17. Tire judgment module; 2. Detection platform; 21. Base plate; 211. Second pressure sensor; 22. Trapezoidal ridge; 221. Infrared contact switch; 222. Laser scanner; 223. Infrared flaw detector; 224. First pressure sensor. DETAILED DESCRIPTION

[0029] The following is combined with Figure 1-2 This application is described in further detail.

[0030] Example 1: This application embodiment discloses a system for intelligently detecting tire tread depth. Figure 1 and Figure 2 As shown, the system comprises a control system 1 and a detection platform 2. The detection platform 2 comprises a base plate 21 and a trapezoidal ridge 22 fixed to the base plate 21. The control system 1 comprises a detection switch module 11, an image scanning module 12, an image generation module 13, a tread pattern calculation module 14, a depth determination module 15, a hazard determination module 16, and a tire determination module 17.

[0031] like Figure 1 and Figure 2As shown, the detection switch module 11 includes infrared contact switches 221 arranged on both sides of the trapezoidal ridge 22. When any infrared contact switch 221 detects the presence of an object on the top, a start signal is sent to the image scanning module 12. When all infrared contact switches 221 do not detect the presence of an object on the top, a stop signal is sent to the image scanning module 12.

[0032] like Figure 1 and Figure 2 As shown, the image scanning module 12 includes a laser scanner 222 and an infrared flaw detector 223 arranged on the top of the trapezoidal ridge 22. After the laser scanner 222 receives a start signal, it controls the laser scanner 222 and the infrared flaw detector 223 to scan the top of the trapezoidal ridge 22 to generate three-dimensional coordinate information and a three-dimensional acoustic wave map, and sends the three-dimensional coordinate information to the image generation module 13. When the image scanning module 12 receives a stop signal, it controls the laser scanner 222 and the infrared flaw detector 223 to stop working.

[0033] like Figure 2 As shown, the image generation module 13 is pre-set with a 3D coordinate template. Based on the 3D coordinate information, it generates a 3D image of the tire surface on the 3D coordinate template and sends the 3D image to the tread pattern calculation module 14. The tread pattern calculation module 14, which is pre-set with a ratio limit, obtains the height of each coordinate point in the 3D tire surface image, calculates the percentage of the coordinate point at each height, selects the highest and lowest heights whose percentages exceed the ratio limit, calculates the difference between the highest and lowest heights, and transmits the difference to the depth determination module 15.

[0034] like Figure 2 As shown, the depth determination module 15 is preset with a warning height value and an alarm height value. The depth determination module 15 receives an input tire type and selects the corresponding warning height value and alarm height value based on the tire type. If the warning height value is greater than the alarm height value, and the difference is between the warning height value and the alarm height value, the depth determination module 15 issues a warning signal. If the difference is less than the alarm height value, the depth determination module 15 issues an alarm signal.

[0035] like Figure 2As shown, the hazard judgment module 16 is preset with a tire crack form and a crack length limit. The tire crack form includes the tire type and the standard crack depth, crack depth limit and crack number limit associated with the tire type. The hazard judgment module 16 receives the input tire type, calls the standard crack depth, crack depth limit and crack number limit in the tire crack form according to the tire type, searches and selects all cracks in the acoustic three-dimensional map, calculates the depth of each selected crack, retains the selected cracks with a depth greater than or equal to the standard crack depth, and when the depth of any selected crack is greater than the crack depth limit, marks the selected crack and issues a crack too deep alarm, calculates the number of selected cracks retained, and when the number of selected cracks retained is greater than the crack number limit, issues an excessive crack alarm. The danger judgment module 16 marks the sunken area on the surface of the three-dimensional acoustic wave image as a crack, takes the difference between the height of the deepest point of the crack and the height of the highest point of the crack as the depth of the crack, and judges the branch distance between the two points on the top plane of the crack to be the farthest apart as the crack length. When the crack length exceeds the crack length limit, an alarm for excessive crack size is issued. The infrared flaw detector 223 can detect the surface of the tire more carefully, even small cracks can be detected. The three-dimensional acoustic wave image detected by the infrared flaw detector 223 can be used to analyze whether the cracks on the tire surface affect vehicle safety. If there are too many cracks or the cracks are too deep, it will affect the safety and life of the vehicle. If the crack is too long, even if the depth and width are very small, it is easy to cause danger. The system will automatically determine whether the crack is too long and alert the owner.

[0036] like Figure 1 and Figure 2As shown, the tire identification module 17 includes a plurality of first pressure sensors 224 disposed on one side of the trapezoidal ridge 22 and a plurality of second pressure sensors 211 disposed on the substrate 21 near the trapezoidal ridge 22. The first pressure sensors 224 are arranged in an array along the inclined surface of the side of the trapezoidal ridge 22, while the second pressure sensors 211 are arranged in an array along the length of the substrate 21. The tire identification module 17 records the position information of each first pressure sensor 224 and each second pressure sensor 211. When any first pressure sensor 224 transmits a high-level signal to the tire identification module 17, the tire identification module 17 determines the position of the first pressure sensor 224 and the second pressure sensor 211 currently transmitting the high-level signal. Based on the position of the first pressure sensor 224 and the second pressure sensor 211, the tire outer diameter is calculated and transmitted to the risk assessment module 16. The tire crack table in the risk assessment module 16 also includes the tire outer diameter. Each tire outer diameter is associated with a tire type. After receiving the tire outer diameter, the risk assessment module 16 determines the corresponding tire type based on the tire outer diameter. When a tire contacts the pressure sensor, it generates a high-level signal. The pressure sensor determines the position of two points on the tire, and the approximate tire outer diameter is calculated based on the positions of the two points and the angle between the trapezoidal ridge 22 and the base plate 21. If a vehicle enters the detection area without uploading its information, the system can calculate the tire's outer diameter and match it with the corresponding information of a tire of the same size, facilitating subsequent processing.

[0037] The system and method for intelligently detecting tire tread depth in the embodiments of the present application are implemented as follows: When a vehicle to be detected passes over a trapezoidal ridge 22, the system automatically collects a three-dimensional model of the tire surface. By analyzing the three-dimensional model, the system determines the tread depth of the tire passing over the trapezoidal ridge 22. Based on the tread depth, a warning signal or alarm signal is issued. The warning signal reminds the vehicle owner to pay attention to the degree of tire wear, while the alarm signal reminds the vehicle owner to replace the tire. The detection process only requires the vehicle to pass by, which is time-saving and does not require manual inspection of the wheel tread, saving time and effort.

[0038] Embodiment 2: This embodiment of the present application discloses a method for intelligently detecting tire tread depth, including the system for intelligently detecting tire tread depth as described in Embodiment 1. The specific steps are as follows: S100: Preset a 3D coordinate template, a scale limit, a warning height value, an alarm height value, a crack length limit, and a tire crack table. The tire crack table includes the tire outer diameter, tire type, and the associated crack standard depth, crack depth limit, and crack quantity limit. Each tire outer diameter is associated with a tire type.

[0039] S101. An infrared flaw detector 223 is installed on the top of the trapezoidal ridge 22. Multiple first pressure sensors 224 are installed on one side of the trapezoidal ridge 22. The first pressure sensors 224 are arranged in an array along the inclined surface of the side of the trapezoidal ridge 22. Multiple second pressure sensors 211 are installed on the substrate 21 near the trapezoidal ridge 22. The second pressure sensors 211 are arranged in an array along the length of the substrate 21.

[0040] S102 : Record the position information of each first pressure sensor 224 and each second pressure sensor 211 .

[0041] S200: The vehicle to be inspected drives over the trapezoidal ridge 22. When the tire passes the top of the trapezoidal ridge 22, the infrared contact switch 221 detects the tire's passing time. Based on the passing time, the laser scanner 222 is controlled to scan the top area of ​​the trapezoidal ridge 22 to obtain three-dimensional coordinate information.

[0042] S201 : Generate a three-dimensional image of the tire surface on a three-dimensional coordinate template according to three-dimensional coordinate information.

[0043] S202, obtaining the height of each coordinate point of the three-dimensional image of the tire surface, calculating the proportion of the coordinate points at each height, selecting the highest height and the lowest height whose proportion exceeds the proportion limit, and calculating the difference between the highest height and the lowest height.

[0044] S203 : When the difference is between the warning altitude value and the alarm altitude value, the depth judgment module 15 sends a warning signal.

[0045] S204: When the difference is less than the alarm height value, the depth judgment module 15 sends an alarm signal.

[0046] S300 , the infrared contact switch 221 controls the infrared flaw detector 223 to scan the top area of ​​the trapezoidal ridge 22 according to the elapsed time, and obtains a three-dimensional acoustic wave image.

[0047] S301. Receive an input tire type, and call a standard crack depth, a crack depth limit, and a crack quantity limit in a tire crack table according to the tire type.

[0048] S400 , if the input tire type is not received, when any first pressure sensor 224 uploads a high-level signal to the tire determination module 17 , the positions of the first pressure sensor 224 and the second pressure sensor 211 currently uploading the high-level signal are determined.

[0049] S401 , calculating the tire outer diameter according to the position of the first pressure sensor 224 and the position of the second pressure sensor 211 .

[0050] S402: Call the corresponding tire type according to the tire outer diameter.

[0051] S500 , searching and selecting all cracks in the three-dimensional acoustic wave image, calculating the depth of each selected crack, and retaining the selected cracks whose depth is greater than or equal to the standard crack depth.

[0052] S501. When the depth of any selected crack is greater than the crack depth limit, mark the selected crack and issue a crack too deep alarm.

[0053] S502. Calculate the number of selected fractures to be retained. When the number of selected fractures to be retained is greater than the fracture number limit, issue an alarm indicating that there are too many fractures.

[0054] S600: Mark the sunken area on the surface of the three-dimensional acoustic wave image as a crack, and use the difference between the height of the deepest point of the crack and the height of the highest point of the crack as the depth of the crack.

[0055] S601. Determine the branch line distance between the two points on the top plane of the crack that are farthest apart as the crack length.

[0056] S602: When the crack length exceeds the crack length limit, an alarm indicating that the crack is too large is issued.

[0057] The embodiments of this specific implementation method are all preferred embodiments of the present invention and are not intended to limit the scope of protection of the present invention. Therefore, any equivalent changes made based on the structure, shape, and principle of the present invention should be included in the scope of protection of the present invention.

Claims

1. A system for intelligently detecting tire tread depth, characterized by: The system comprises a control system (1) and a detection platform (2), wherein the detection platform (2) comprises a substrate (21) and a trapezoidal ridge (22) fixed to the substrate (21), and the control system (1) comprises a detection switch module (11), an image scanning module (12), an image generation module (13), a tread pattern calculation module (14), and a depth judgment module (15); The detection switch module (11) includes infrared contact switches (221) arranged on both sides of the trapezoidal ridge (22), and when any infrared contact switch (221) detects the presence of an object on the top, a start signal is sent to the image scanning module (12); when all infrared contact switches (221) do not detect the presence of an object on the top, a stop signal is sent to the image scanning module (12); The image scanning module (12) includes a laser scanner (222) disposed on the top of the trapezoidal ridge (22). After receiving a start signal, the laser scanner (222) scans the top of the trapezoidal ridge (22) to generate three-dimensional coordinate information, and sends the three-dimensional coordinate information to the image generation module (13). When the image scanning module (12) receives a stop signal, the laser scanner (222) is controlled to stop working. The image generation module (13) is preset with a three-dimensional coordinate template, generates a three-dimensional image of the tire surface on the three-dimensional coordinate template according to the three-dimensional coordinate information, and sends the three-dimensional image of the tire surface to the tread calculation module (14); The tread pattern calculation module (14) is preset with a ratio limit, obtains the height of each coordinate point of the three-dimensional image of the tire surface, calculates the proportion of the coordinate point at each height, selects the highest height and the lowest height whose proportion exceeds the ratio limit, calculates the difference between the highest height and the lowest height, and transmits the difference to the depth judgment module (15); The depth judgment module (15) is preset with a warning height value and an alarm height value, the warning height value is greater than the alarm height value, when the difference is between the warning height value and the alarm height value, the depth judgment module (15) sends a warning signal, when the difference is less than the alarm height value, the depth judgment module (15) sends an alarm signal.

2. The system for intelligently detecting tire tread depth according to claim 1, characterized in that: The control system (1) further includes a danger judgment module (16), and the image scanning module (12) further includes an infrared flaw detector (223). After receiving an infrared start signal, the image scanning module (12) controls the infrared flaw detector (223) to scan above the trapezoidal ridge (22) and generate a three-dimensional acoustic wave image. When the image scanning module (12) receives a stop signal, the infrared flaw detector (223) is controlled to stop working and transmit the three-dimensional acoustic wave image to the danger judgment module (16). The hazard judgment module (16) is preset with a tire crack form, which includes tire types and crack standard depths, crack depth limits, and crack quantity limits associated with the tire types. The hazard judgment module (16) receives the input tire type, calls the crack standard depth, crack depth limits, and crack quantity limits in the tire crack form according to the tire type, searches and selects all cracks in the three-dimensional acoustic wave map, calculates the depth of each selected crack, retains the selected cracks whose depth is greater than or equal to the crack standard depth, marks the selected crack and issues a crack too deep alarm when the depth of any selected crack is greater than the crack depth limit, calculates the number of selected cracks retained, and issues a crack too deep alarm when the number of selected cracks retained is greater than the crack quantity limit.

3. The intelligent tire tread depth detection system according to claim 2, characterized in that: The danger judgment module (16) is preset with a crack length limit, marks the sunken area on the surface of the acoustic three-dimensional image as a crack, takes the difference between the height of the deepest point of the crack and the height of the highest point of the crack as the depth of the crack, and judges the branch line distance between the two points on the top plane of the crack that are farthest apart as the crack length. When the crack length of the crack exceeds the crack length limit, an alarm of excessive crack size is issued.

4. The intelligent tire tread depth detection system according to claim 2, characterized in that: The control system (1) further includes a tire judgment module (17), wherein the tire judgment module (17) calculates the tire outer diameter when the tire abuts against the side of the trapezoidal ridge (22), and transmits the tire outer diameter to the danger judgment module (16); The tire crack table of the risk judgment module (16) also includes tire outer diameters, and each tire outer diameter is associated with a tire type. After receiving the tire outer diameters, the risk judgment module (16) calls the corresponding tire type according to the tire outer diameters.

5. The intelligent tire tread depth detection system according to claim 4, characterized in that: The tire judgment module (17) comprises a plurality of first pressure sensors (224) arranged on one side of the trapezoidal ridge (22) and a plurality of second pressure sensors (211) arranged on a substrate (21) near the trapezoidal ridge (22). The first pressure sensors (224) are distributed in an array along an inclined plane on the side of the trapezoidal ridge (22), and the second pressure sensors (211) are arranged in an array along a length direction of a basic surface on the substrate (21). The tire judgment module (17) records position information of each first pressure sensor (224) and each second pressure sensor (211). When any first pressure sensor (224) uploads a high-level signal to the tire judgment module (17), the tire judgment module (17) determines the positions of the first pressure sensor (224) and the second pressure sensor (211) currently uploading the high-level signal, and calculates the tire outer diameter based on the positions of the first pressure sensor (224) and the second pressure sensor (211).

6. A method for intelligently detecting tire tread depth, comprising the system for intelligently detecting tire tread depth according to claim 1, characterized in that: The following steps are involved: Preset 3D coordinate template, scale limit, warning height value and alarm height value; The vehicle to be inspected is driven over the trapezoidal ridge (22). When the tire passes the top of the trapezoidal ridge (22), the infrared contact switch (221) detects the time the tire passes, and the laser scanner (222) is controlled to scan the top area of ​​the trapezoidal ridge (22) according to the time, to obtain three-dimensional coordinate information; Generating a three-dimensional image of the tire surface on a three-dimensional coordinate template according to the three-dimensional coordinate information; Obtain the height of each coordinate point of the three-dimensional image of the tire surface, calculate the proportion of the coordinate points at each height, select the highest height and the lowest height whose proportion exceeds the proportion limit, and calculate the difference between the highest height and the lowest height; When the difference is between the warning altitude value and the alarm altitude value, the depth judgment module (15) issues a warning signal; When the difference is less than the alarm height value, the depth judgment module (15) sends an alarm signal.

7. The method for intelligently detecting tire tread depth according to claim 6, characterized in that: The following steps are also included: An infrared flaw detector (223) is provided on the top of the trapezoidal ridge (22); A preset tire crack table includes tire types and the standard crack depth, crack depth limit, and crack quantity limit associated with the tire type; The infrared contact switch (221) controls the infrared flaw detector (223) to scan the top area of ​​the trapezoidal ridge (22) according to the elapsed time, and obtains a three-dimensional image of the sound wave; Receive the input tire type, and call the standard crack depth, crack depth limit and crack quantity limit in the tire crack form according to the tire type; Search and select all cracks in the three-dimensional acoustic wave map, calculate the depth of each selected crack, and retain the selected cracks whose depth is greater than or equal to the standard crack depth; When the depth of any selected crack is greater than the crack depth limit, the selected crack will be marked and a crack too deep alarm will be issued; Calculate the number of selected fractures to be retained. When the number of selected fractures to be retained is greater than the fracture number limit, an alarm indicating too many fractures will be issued.

8. The method for intelligently detecting tire tread depth according to claim 7, characterized in that: The following steps are also included: Preset crack length limit; The indented area on the surface of the three-dimensional acoustic wave image is marked as a crack, and the difference between the height of the deepest point of the crack and the height of the highest point of the crack is taken as the depth of the crack; The branch line distance between the two points on the top plane of the crack that are farthest apart is determined as the crack length; When the crack length of the crack exceeds the crack length limit, a crack excessive alarm is issued.

9. The method for intelligently detecting tire tread depth according to claim 7, characterized in that: The following steps are also included: The tire gap table also includes tire outer diameters, each of which is associated with a tire type; Calculating the outer diameter of the tire when the tire abuts against the side of the trapezoidal ridge (22); Call the corresponding tire type according to the tire outer diameter.

10. The method for intelligently detecting tire tread depth according to claim 9, characterized in that: The step of "calculating the outer diameter of the tire when the tire abuts against the side of the trapezoidal ridge (22)" further includes: A plurality of first pressure sensors (224) are arranged on one side of the trapezoidal ridge (22), and the first pressure sensors (224) are distributed along an inclined array on the side of the trapezoidal ridge (22); A plurality of second pressure sensors (211) are arranged near the trapezoidal ridge (22) of the substrate (21), and the second pressure sensors (211) are arranged in an array along the length direction of the basic surface of the substrate (21); Recording position information of each first pressure sensor (224) and each second pressure sensor (211); When any first pressure sensor (224) uploads a high-level signal to the tire determination module (17), determining the positions of the first pressure sensor (224) and the second pressure sensor (211) currently uploading the high-level signal; The tire outer diameter is calculated based on the position of the first pressure sensor (224) and the position of the second pressure sensor (211).

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