CN115195357A - Tire wear monitoring method, system and storage medium - Google Patents
Tire wear monitoring method, system and storage medium Download PDFInfo
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- CN115195357A CN115195357A CN202210499591.6A CN202210499591A CN115195357A CN 115195357 A CN115195357 A CN 115195357A CN 202210499591 A CN202210499591 A CN 202210499591A CN 115195357 A CN115195357 A CN 115195357A
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- 238000003709 image segmentation Methods 0.000 claims description 4
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60C—VEHICLE TYRES; TYRE INFLATION; TYRE CHANGING; CONNECTING VALVES TO INFLATABLE ELASTIC BODIES IN GENERAL; DEVICES OR ARRANGEMENTS RELATED TO TYRES
- B60C11/00—Tyre tread bands; Tread patterns; Anti-skid inserts
- B60C11/24—Wear-indicating arrangements
- B60C11/246—Tread wear monitoring systems
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T5/00—Image enhancement or restoration
- G06T5/20—Image enhancement or restoration using local operators
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- G—PHYSICS
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- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/0002—Inspection of images, e.g. flaw detection
- G06T7/0004—Industrial image inspection
- G06T7/0008—Industrial image inspection checking presence/absence
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- Tires In General (AREA)
Abstract
The application discloses monitoring method, system and storage medium of tire wear relates to the technical field of tire wear detection, and the monitoring method of tire wear is applied to a tire monitoring system, and includes: acquiring image data of a tire; performing extraction operation on the image data according to a tire tread projection extraction method to obtain a tread projection of the tire; calculating tire wear data for the tire from the tread projection. The tire wear monitoring method can calculate tire wear data, simplifies detection procedures and improves detection efficiency.
Description
Technical Field
The present disclosure relates to tire wear detection technologies, and in particular, to a method, a system, and a storage medium for monitoring tire wear.
Background
At present in the auto repair factory or car 4S workshop, automobile tire' S degree of wear is usually by the manual degree of depth of measuring the decorative pattern of professional maintenance personal with the diagnosis, in measurement process, maintenance personal often need dismantle the tire earlier in order to inspect whether there is wearing and tearing and defect in the tire, then handheld dedicated decorative pattern depth chi of measuring the tire decorative pattern, the recess depth to the axial of wearing and tearing decorative pattern and the assigned position of circumference is measured, and calculate the maximum speed and the average depth of decorative pattern, in order to confirm the wearing and tearing condition of tire, artifical detection procedure is loaded down with trivial details, influence detection efficiency.
Disclosure of Invention
The present application is directed to solving at least one of the problems in the prior art. Therefore, the application provides a method, a system and a storage medium for monitoring the tire wear, which can calculate the tire wear data, simplify the detection process and improve the detection efficiency.
In order to solve the technical problem, the following technical scheme is provided:
an embodiment of the first aspect of the present application provides a method for monitoring tire wear, which is applied to a tire monitoring system, and includes:
acquiring image data of a tire;
performing extraction operation on the image data according to a tire pattern projection extraction method to obtain a tire pattern projection of the tire;
calculating tire wear data for the tire from the tread projection.
According to the monitoring method for the tire wear provided by the embodiment of the first aspect of the application, at least the following beneficial effects are achieved: according to the tire wear monitoring method, the image data of the automobile tire is obtained, the tire pattern projection extraction method is adopted to process the image data, the tire pattern projection in the image data is extracted, and then the tire wear data in the tire pattern projection is calculated, so that a user can monitor and inquire the tire wear condition in real time, the detection process is simplified, the labor cost and the time cost are saved, and the detection efficiency is improved.
According to some embodiments of the first aspect of the present application, the image data comprises first image data and second image data; the tire monitoring system comprises a monitoring module, the monitoring module comprises a first monitoring component, a second monitoring component and a laser transmitter, and the first monitoring component and the second monitoring component are movably arranged at different directions of the tire respectively; the method for acquiring image data of a tire comprises the following steps:
performing a laser irradiation operation on the tire by the laser transmitter;
acquiring first image data of the tire in real time through the first monitoring component;
second image data of the tire is acquired in real time by the second monitoring component.
According to some embodiments of the first aspect of the present application, the performing an extraction operation on the image data according to a tire tread projection extraction method to obtain a tread projection of the tire comprises:
performing mean filtering operation on the image data to obtain smooth image data;
performing preprocessing operation on the smooth image data to obtain preprocessed image data;
and performing feature extraction operation on the preprocessed image data to obtain the tire tread projection of the tire.
According to some embodiments of the first aspect of the present application, said performing a pre-processing operation on said smoothed image data to obtain pre-processed image data comprises:
performing image segmentation operation on the smooth image data according to a preset local threshold of the pattern projection to obtain segmented image data;
performing region decomposition operation on the segmented image data according to a preset region decomposition operator to obtain first decomposed image data, and performing deburring operation on the first decomposed image data to obtain second decomposed image data;
and performing interference filtering operation on the second decomposition image data according to a preset screening operator to obtain preprocessed image data.
According to some embodiments of the first aspect of the present application, said performing a feature extraction operation on said preprocessed image data resulting in a footprint projection of said tyre comprises:
performing intersection operation on the smooth image data and the preprocessed image data according to a preset intersection operator to obtain intersection image data;
and performing region segmentation operation on the intersection image data according to a preset binarization threshold segmentation operator to obtain the tire tread projection of the tire.
According to some embodiments of the first aspect of the present application, the tire wear data comprises groove depth, groove mean depth, and groove depth extrema, and the calculating tire wear data for the tire from the footprint projection comprises:
performing laser triangulation extraction operation on the tire pattern projection to obtain tire wear two-dimensional data and tire wear three-dimensional data;
calculating a minimum circumscribed rectangle of the pattern projection according to the tire wear two-dimensional data, and obtaining groove approximate pixel depth data and groove missing data of the tire according to the minimum circumscribed rectangle;
performing splicing operation on the tire wear three-dimensional data, the groove approximate pixel depth data and the groove missing data according to a characteristic point cloud algorithm to obtain a characteristic point cloud model, and performing optimization operation on the characteristic point cloud model according to a curvature sampling algorithm to obtain an optimized point cloud model;
and performing curved surface reconstruction operation on the optimized point cloud model, and performing calculation operation on the reconstructed optimized point cloud model to obtain the groove depth, the average groove depth and the extreme groove depth value.
According to some embodiments of the first aspect of the application, the method further comprises: combining the tire wear data and a preset tire wear threshold range to obtain the wear condition of the tire, wherein the wear condition of the tire comprises one of the following:
when the groove depth belongs to the tire wear threshold range, the wear condition is abnormal;
when the average depth of the grooves belongs to the tire wear threshold range, the wear condition is abnormal;
when the groove depth extreme value belongs to the tire wear threshold range, the wear condition is abnormal; wherein the tire wear threshold range comprises at least one of:
the groove depth is less than a tire groove depth threshold; or the like, or a combination thereof,
the average groove depth is less than the tire average groove depth threshold; or the like, or, alternatively,
or the extreme value of the groove depth is smaller than the threshold value of the extreme value of the groove depth of the tire.
According to some embodiments of the first aspect of the application, the method further comprises:
and when the wear condition is abnormal, sending the wear condition and early warning information corresponding to the wear condition to the terminal through a cloud server, wherein the early warning information comprises the current wear stage, the wear mode and the early warning time of the tire.
An embodiment of a second aspect of the present application provides a tire wear simulation system, including:
at least one memory;
at least one processor;
at least one program;
the programs are stored in the memory, and the processor executes at least one of the programs to implement:
a method of monitoring tyre wear as claimed in any one of the first aspects of the present application.
In a third aspect of the present application, an embodiment provides a computer-readable storage medium, which stores computer-executable signals for performing:
a method of monitoring tyre wear as claimed in any one of the first aspects of the present application.
Additional aspects and advantages of the present application will be set forth in part in the description which follows and, in part, will be obvious from the description, or may be learned by practice of the present application.
Drawings
Additional aspects and advantages of the present application will become apparent and readily appreciated from the following description of the embodiments, taken in conjunction with the accompanying drawings of which:
FIG. 1 is a flow chart of a method of monitoring tire wear provided in accordance with certain embodiments of the present application;
FIG. 2 is a flow chart of an extraction operation performed on image data according to a tire tread projection extraction method as provided by some embodiments of the present application;
FIG. 3 is a flow diagram of a method of performing pre-processing operations on smoothed image data as provided by some embodiments of the present application;
FIG. 4 is a flow diagram of a method for performing a feature extraction operation on preprocessed image data according to some embodiments of the present application;
FIG. 5 is a flow chart of a method of calculating tire wear data for a tire from a tread projection provided in some embodiments of the present application;
FIG. 6 is a block diagram of a tire wear simulation system provided in some embodiments of the present application.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention is described in further detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
It should be noted that, although a logical order is illustrated in the flowcharts, in some cases, the steps illustrated or described may be performed in an order different from that in the flowcharts. The terms and the like in the description and the claims, as well as in the drawings described above, are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order.
In the description of the present application, if there are first and second descriptions for the purpose of distinguishing technical features, it is not understood that relative importance is indicated or implied or that the number of indicated technical features is implicitly indicated or that the precedence of the indicated technical features is implicitly indicated.
In the description of the present application, unless otherwise specifically limited, terms such as set, installed, connected and the like should be understood broadly, and those skilled in the art can reasonably determine the specific meanings of the above terms in the present application in combination with the specific contents of the technical solutions.
Referring to fig. 1, in a first aspect, the present embodiment provides a method for monitoring tire wear, including but not limited to steps S110, S120, and S130.
Step S110, acquiring image data of a tire;
step S120, extracting the image data according to a tire tread projection extraction method to obtain the tire tread projection of the tire;
step S130, tire wear data of the tire is calculated from the tread pattern projection.
It can be understood that, according to the tire wear monitoring method, the image data of the automobile tire is collected, the tire pattern projection extraction method is adopted to process the image data, the tire pattern projection in the image data is extracted, and then the tire wear data in the tire pattern projection is calculated, so that a user can obtain the tire wear data through a terminal in real time, the detection process is simplified, the labor cost and the time cost are saved, and the detection efficiency is improved. Specifically, the terminal may be a desktop computer or a notebook computer, or may be a mobile terminal.
According to one embodiment of the application, a user can monitor the wear condition of a tire in real time through tire wear monitoring software in a desktop computer or a notebook computer, and it can be understood that the tire wear monitoring software is provided with a tire monitoring system, on one hand, the user can check real-time tire wear data of the tire through the tire wear monitoring software and select an interesting tire area through the tire wear monitoring software, so that a monitoring module in communication connection with the tire monitoring system preferentially collects image data of the interesting tire area; on the other hand, a user can adjust related parameters in the tire tread projection extraction method through tire wear monitoring software, the monitoring module captures the frame rate of image data or the setting of a machine position in the monitoring module, so that the tire tread projection extraction method is suitable for different tire models and different environmental conditions, the tire wear data of the tire can be automatically generated once after each monitoring, the tire wear data of the tire in the last time period are stored and recorded into the database, the user can inquire the tire wear data in the last time period through the tire wear monitoring software, namely the historical data of the tire wear data are screened and exported, and the user can conveniently check the wear condition of the tire by observing whether the historical data are normal or not.
According to another embodiment of the application, a user can also check real-time tire wear data of a tire through a tire wear monitoring applet arranged in a mobile terminal to monitor the wear condition of the tire, and it can be understood that the tire wear monitoring applet is in communication connection with tire wear monitoring software through a cloud server, on one hand, the user can check the tire wear data through the tire wear monitoring applet, and on the other hand, when the user clicks a historical data page or performs pull-down refreshing on the historical data page in the tire wear monitoring applet each time, the tire wear monitoring applet updates and displays the historical data of the tire wear data in real time.
Specifically, in order to improve the safety of the tire wear monitoring applet, when a user checks the wear condition of a tire at preset time intervals, a login operation needs to be performed on the tire wear monitoring applet; when a user opens the tire wear monitoring applet for the first time and logs in the personal account, the tire wear monitoring applet needs to be connected with the cloud server first, after the tire wear monitoring applet is successfully connected with the cloud server, the tire wear monitoring applet receives the tire wear condition through the cloud server and displays the tire wear condition, and at the moment, the mobile terminal device is displayed to be in an online state by the desktop computer or the notebook computer connected with the cloud server. More specifically, after the tire wear monitoring applet is successfully connected with the cloud server, a timer built in the tire wear monitoring applet is started, and when a default preset time period elapses and a user does not perform any operation on the tire wear monitoring applet during the time period, the desktop or notebook computer displays that the mobile terminal is in an offline state.
More specifically, when the user opens the tire wear monitoring applet and logs in to the personal account, the mobile terminal sends the relevant information of the user, such as the contact information, the online information and the like, to the tire monitoring system at the same time in order to determine the identity of the user.
It should be noted that the image data includes first image data and second image data, the tire monitoring system includes a monitoring module, the monitoring module includes a first monitoring component, a second monitoring component and a laser transmitter, the first monitoring component and the second monitoring component are respectively movably disposed at different directions of the tire; acquiring image data of a tire, comprising: the laser irradiation operation is executed on the tire through the laser transmitter, the first image data of the tire is obtained in real time through the first monitoring component, and the second image data of the tire is obtained in real time through the second monitoring component.
It can be understood that, tire monitoring system includes the monitoring module, its function is for gathering image data, and give desktop or notebook computer image data transmission, the monitoring module includes first monitoring part, second monitoring part and laser emitter, on the one hand, laser emitter's directionality is high, luminance is high and energy density is big, image data's definition has been improved, on the other hand, this application is through locating the different position of tire with first monitoring part and second monitoring part, be convenient for gather the image data of tire from different angles, image data's accuracy has further been improved. Specifically, the data transmission interfaces of the first monitoring component and the second monitoring component are ethernet interfaces with unlimited transmission distance, high speed and moderate cost, so that the tire monitoring system can receive the image data of the tire sent by the first monitoring component and the second monitoring component in real time. More specifically, when the user first turns on the tire wear monitoring software, i.e., first runs the tire monitoring system, the user needs to click the open camera button to call the first monitoring component and the second monitoring component, so that the first monitoring component and the second monitoring component can send the acquired image data to the tire monitoring system.
It should be noted that the first monitoring component and the second monitoring component are not fixedly arranged, and the first monitoring component and the second monitoring component can also move to acquire image data of different orientations of the tire, so that the image data can be acquired more comprehensively, and the accuracy of the image data is improved.
According to one embodiment of the application, a laser transmitter projects line laser on the surface of a tire to form a tire pattern projection, a first monitoring component arranged on the side surface of the tire collects first image data of the tire and sends the first image data to a tire monitoring system in communication connection with a monitoring module, and a second monitoring component arranged on the surface of the tire collects second image data of the tire and sends the second image data to the tire monitoring system. The tire monitoring system processes the first image data and the second image data through a tire pattern projection extraction method, extracts the tire pattern projection of the tire, further calculates tire wear data in the tire projection, and facilitates a user to check the tire wear data and historical data of the tire wear data in real time through a tire wear monitoring small program of the mobile terminal.
Referring to fig. 2, in a first aspect, the present embodiment provides a method for performing an extraction operation on image data according to a tire tread projection extraction method, including but not limited to steps S210, S220, and S230.
Step S210, performing mean filtering operation on the image data to obtain smooth image data;
step S220, carrying out preprocessing operation on the smooth image data to obtain preprocessed image data;
step S230, performing a feature extraction operation on the preprocessed image data to obtain a tread projection of the tire.
It can be appreciated that after the monitoring module sends the image data to the tire monitoring system, the tire monitoring system needs to perform an extraction operation on the image data according to a tire tread projection extraction method in order to extract the tread projection of the tire. Specifically, in the tire tread projection extraction method, firstly, graying processing needs to be performed on color image data to filter out some useless information in the original image data and lay a cushion for subsequent preprocessing operation, wherein an rgb1-to-gray operator provides an interface for converting the color image data into gray image data. After gray image data are obtained, average filtering operation needs to be performed on the image data to smooth the image, so that noise in the image data is reduced preliminarily, interference of a background environment is reduced as much as possible, and subsequent preprocessing operation is facilitated; after the smooth image data is obtained, preprocessing operation needs to be performed on the smooth image data to further filter interference factors in the image data, improve the precision of the image data and facilitate subsequent feature extraction operation; after the preprocessed image data are obtained, feature extraction operation needs to be performed on the preprocessed image data, an interference area in the preprocessed image data is filtered, and the tread pattern projection of the tire is extracted.
Specifically, the RGB1-to-gray operator is used to convert an RGB color image into a grayscale image.
Referring to fig. 3, in a first aspect, the present application provides a method for performing a preprocessing operation on smoothed image data, including, but not limited to, step S310, step S320, and step S330.
Step S310, performing image segmentation operation on the smooth image data according to a preset local threshold of the pattern projection to obtain segmented image data;
step S320, performing a region decomposition operation on the segmentation image data according to a preset region decomposition operator to obtain first decomposition image data, and performing a deburring operation on the first decomposition image data to obtain second decomposition image data;
and S330, performing interference filtering operation on the second decomposed image data according to a preset screening operator to obtain preprocessed image data.
It is understood that, the region decomposition operator is a connection operator, and the screening operator is a select-shape operator. More specifically, the connection operator is used for separating the connected parts in one region and distinguishing the regions, and the select-shape operator is used for screening the connected regions to remove the contours which do not meet the conditions.
It can be understood that after the smoothed image data is obtained, a preprocessing operation needs to be performed on the smoothed image data to further filter out interference factors in the image data, improve the accuracy of the image data, and facilitate subsequent feature extraction operations. The preprocessing operation comprises three steps, wherein the first step is image segmentation, and region decomposition operation is carried out on the smooth image data according to a preset local threshold of the tire tread projection, namely the smooth image data is divided into a plurality of regions with different pixels, so that an approximate image of the tire projection is further extracted on the basis of the smooth image data, and segmented image data is obtained; the second step of the preprocessing operation is area processing, because the tire tread projection has the obvious characteristics of large area communication area and high brightness, and the area of the tire tread projection in the segmented image data also contains other clutter, in order to filter the clutter, the area decomposition operation is required to be executed on the segmented image data obtained in the last step according to a preset connection operator, so as to decompose the area of the tire tread projection in the segmented image data into a plurality of communication sets, so as to obtain first segmented image data, in order to further filter the clutter in the first segmented image data, the deburring operation is also required to be executed on the first segmented image data so as to obtain second segmented image data, burrs of each area profile and small bright spots in the first segmented image data are removed through the deburring operation, so as to smooth the area profile and break the adhesion among the areas, and the precision of the tire projection is further improved on the basis of the segmented image data by the second segmented image data; and the third step of the preprocessing operation is interference filtering operation, the interference filtering operation carries out interference filtering operation on the second decomposition image data according to a preset select-shape operator, an interference area with a smaller area in the second decomposition image data is filtered, the preprocessed image data is obtained, and the precision of tire projection is further improved on the basis of the second decomposition image data by the preprocessed image data.
Referring to fig. 4, in a first aspect, the present application provides a method for performing a feature extraction operation on preprocessed image data, including but not limited to steps S410 and S420.
Step S410, performing intersection operation on the smooth image data and the preprocessed image data according to a preset intersection operator to obtain intersection image data;
and step S420, performing region segmentation operation on the intersection image data according to a preset binarization threshold segmentation operator to obtain the tire tread projection of the tire.
It is understood that the intersection operator is a reduce-domain operator and the binary threshold segmentation operator is a binary-threshold operator. More specifically, the reduce-domain operator is used to reduce the domain of the preprocessed image data to a specified domain, and it is understood that the resulting domain of the intersection image data is calculated as the intersection of the domain of the preprocessed image data and the domain of the smoothed image data, but the image size is not changed from the preprocessed image data to the intersection image data. The binary-threshold operator is a binarization threshold segmentation operator, and has the function of automatically selecting a dark region in the intersection image data or automatically selecting a bright region in the intersection image data.
It can be understood that after the preprocessed image data is obtained, it is necessary to perform a feature extraction operation on the preprocessed image data, filter the interference regions in the preprocessed image data, and extract the tread projections of the tire. The feature extraction operation comprises two steps, the first step of the feature extraction operation is: performing intersection operation on the smooth image data and the preprocessed image data according to a preset reduce-domain operator, further obtaining a tire projection area in the smooth image data, and obtaining intersection image data, wherein the second step of the feature extraction operation is as follows: and performing region segmentation operation on the intersection image data according to a preset binary-threshold operator to find the minimum value between two wave crests in the intersection image data, segmenting a bright region and a dark region in the intersection image data, and removing impurity interference so as to successfully obtain the tread pattern projection of the tire from the intersection image data.
Referring to fig. 5, in a first aspect, the present embodiments provide a method for calculating tire wear data of a tire from a tread pattern projection, including, but not limited to, steps S510, S520, S530, and S540.
Step S510, performing laser triangulation extraction operation on the pattern projection to obtain tire wear two-dimensional data and tire wear three-dimensional data;
step S520, calculating a minimum circumscribed rectangle of the tread pattern projection according to the tire wear two-dimensional data, and obtaining groove approximate pixel depth data and groove missing data of the tire according to the minimum circumscribed rectangle;
step S530, performing splicing operation on the tire wear three-dimensional data, the groove approximate pixel depth data and the groove missing data according to a characteristic point cloud algorithm to obtain a characteristic point cloud model, and performing optimization operation on the characteristic point cloud model according to a curvature sampling algorithm to obtain an optimized point cloud model;
and S540, performing curved surface reconstruction operation on the optimized point cloud model, and performing calculation operation on the reconstructed optimized point cloud model to obtain the groove depth, the average groove depth and the extreme value of the groove depth.
It can be understood that the tire wear data includes groove depth, average groove depth and extreme groove depth, and in order to obtain the groove depth, the average groove depth and the extreme groove depth, the tire wear monitoring method of the present application performs a laser triangulation method extraction operation on the tread projection to obtain two-dimensional tire wear data and three-dimensional tire wear data, that is, two-dimensional tire section data and point cloud data of a tire table.
Specifically, in order to further extract the depth value of each groove of the tire, the minimum external rectangle of the tire tread projection area in the tire wear two-dimensional data needs to be calculated and solved first, the minimum external rectangle is divided into a plurality of rectangles, the size of each rectangle is adjusted by adjusting the number of the rectangles, each groove in the tire wear two-dimensional data can be completely contained in the divided rectangles, the minimum external rectangle with the angle of the area where the groove is located is solved at the moment, and the height of the obtained rectangle is the approximate pixel depth data of the groove of the tire. Because the two-dimensional tire wear data is limited by the section data and the depth data of the partial grooves are lost, the tire wear monitoring method provided by the application can be used for counting the depth data of the lost partial grooves to obtain the groove lost data, so that the tire wear data with higher accuracy can be obtained in the subsequent steps.
It can be understood that, in order to extract more accurate tire wear data, the tire wear monitoring method performs splicing operation on tire wear three-dimensional data, groove approximate depth data and groove missing data according to a characteristic point cloud algorithm, splices the missing grooves to obtain a characteristic point cloud model which reflects the tire wear condition more comprehensively, further optimizes the characteristic point cloud model according to a curvature sampling calculation method, the larger the curvature is in the characteristic point cloud model, the more the number of sampling points are, the higher the noise immunity of the sampling result is through division of geometric characteristic regions, the optimized point cloud model is obtained, noise is further filtered on the basis of the characteristic point cloud model by the optimized point cloud model, and the tire wear data are accurate.
It can be understood that after the optimized point cloud model is obtained, the tire wear monitoring method of the present application further performs a curved surface reconstruction operation on the optimized point cloud model, converts the point cloud data in the optimized point cloud model into a smooth and closed curved surface, and realizes the conversion from the data point model to the curved surface model. In order to determine the wear condition of the tire, after the curved surface model is obtained, the characteristic value of the reconstructed curved surface is further calculated according to the curved surface model to obtain the groove depth, the average groove depth and the extreme value of the groove depth. Specifically, the tire wear monitoring software of the desktop computer or the notebook computer directly displays the groove depth, the groove average depth and the groove depth extreme value calculated at the current moment, and a user can check the depth of each groove in the tire through the tire wear monitoring software.
It should be noted that the tire wear monitoring method of the present application further includes: combining the tire wear data and a preset tire wear threshold range to obtain the wear condition of the tire, wherein the wear condition of the tire comprises one of the following: when the depth of the groove belongs to the tire wear threshold range, the wear condition is abnormal; when the average depth of the grooves belongs to the range of the tire wear threshold value, the wear condition is abnormal; when the groove depth extreme value belongs to the tire wear threshold range, the wear condition is abnormal;
wherein the tire wear threshold range includes at least one of: the groove depth is less than the tire groove depth threshold; or, the average groove depth is less than the tire groove average depth threshold; or the extreme value of the groove depth is smaller than the threshold value of the extreme value of the groove depth of the tire.
It will be appreciated that after the tire wear data is calculated, it is also necessary to compare the tire wear data to the calibration characteristic values for each stage of tire wear to determine tire wear. Specifically, the extreme value of the groove depth comprises a maximum value of the groove depth and a minimum value of the groove depth, and when the conditions are satisfied: and when the maximum value of the groove depth is smaller than at least one of the preset maximum value threshold value of the tire groove depth or the minimum value of the groove depth is smaller than the preset minimum value threshold value of the tire groove depth, the extreme value of the groove depth is smaller than the extreme value threshold value of the tire groove depth.
According to one embodiment of the application, when the groove depth is smaller than the tire groove depth threshold value, the average groove depth is smaller than the tire groove average depth threshold value, and the extreme value of the groove depth is larger than the extreme value threshold value of the tire groove depth, the average groove depth belongs to the tire wear threshold range, and the average groove depth exceeds the wear threshold value which can be borne by the tire, so that the tire wear condition is abnormal.
According to another embodiment of the present application, when the groove depth is less than the tire groove depth threshold, the average groove depth is greater than the tire groove average depth threshold, and the extreme groove depth value is less than the extreme tire groove depth value threshold, the extreme groove depth value falls within the tire wear threshold range, and the extreme groove depth value exceeds the wear threshold that the tire can bear, so that the tire wear condition is abnormal.
It will be appreciated that the user may adjust the tire groove average depth threshold, the tire groove depth maximum threshold, and the tire groove depth minimum threshold via the tire wear monitoring software of a desktop or laptop computer.
According to another embodiment of the present application, the tire wear monitoring software of the desktop computer or the notebook computer may further set a plurality of tire groove depth thresholds and corresponding tire wear conditions around the tire groove depth, so as to divide the tire wear data more finely according to different tire groove depth thresholds, so as to determine the tire wear conditions more accurately.
It should be noted that the tire wear monitoring method of the present application further includes: when the abrasion condition is abnormal, the abrasion condition and early warning information corresponding to the abrasion condition are sent to the terminal through the cloud server, wherein the early warning information comprises the current abrasion stage, the abrasion mode and the early warning time of the tire.
It can be understood that, in the application, the desktop or the notebook computer including the tire monitoring system is in communication connection with the cloud server through the MQTT protocol or the TCP protocol, and the current wear condition is sent to the cloud server at regular time through the MQTT protocol or the TCP protocol, and the MQTT protocol occupies a small memory, supports one-to-many transmission, and has the advantages of being lighter and easier to implement. On the other hand, the cloud server is connected with the terminal through an Internet of things server interface based on an MQTT protocol, when the terminal is in an on-line state, the cloud server can send current wear conditions and historical data of tire wear conditions to the terminal through the MQTT protocol or a TCP protocol, and a user can monitor the tire wear conditions conveniently.
According to one embodiment of the application, a user can check the current wear state, the early warning content and the early warning time of the tire through tire wear monitoring software in a desktop computer or a notebook computer, when the tire is worn normally, the wear state is displayed normally, and the early warning content and the early warning time are not displayed. Specifically, when the wear condition is abnormal, the tire wear monitoring software displays the wear state, the early warning content and the early warning time of the tire in real time, a user can manually check the wear stage and the wear mode of the current tire in the early warning content part, and the tire monitoring system can also give out corresponding wear cause analysis through the wear stage and the wear mode of the current tire, so that the user can conveniently know the wear condition of the tire.
More specifically, a user can select a terminal for receiving the early warning information through tire wear monitoring software in a desktop computer or a notebook computer, and can also set a mailbox address for sending the early warning information and a mailbox address for receiving the early warning information.
In a second aspect, referring to fig. 6, an embodiment of the present application provides a tire wear simulation system, including:
at least one memory 200;
at least one processor 100;
at least one program;
the programs are stored in the memory 200, and the processor 100 executes at least one program to realize:
a method of monitoring tyre wear as claimed in any one of the embodiments of the first aspect of the present application.
The processor 100 and the memory 200 may be connected by a bus or other means.
The memory 200, which is a non-transitory readable storage medium, may be used to store non-transitory software instructions as well as non-transitory executable instructions. Further, the memory 200 may include high speed random access memory, and may also include non-transitory memory, such as at least one magnetic disk storage device, flash memory device, or other non-transitory solid state storage device. It will be appreciated that memory 200 optionally includes memory 200 located remotely from processor 100, and that remote memory 200 may be coupled to processor 100 via a network. Examples of such networks include, but are not limited to, the internet, intranets, local area networks, mobile communication networks, and combinations thereof.
The processor 100 implements a method for monitoring tire wear according to the above-mentioned first embodiment by executing non-transitory software instructions, instructions and signals stored in the memory 200 to perform various functional applications and data processing.
Non-transitory software instructions and instructions required to implement a tire wear simulation system according to the above-described embodiments are stored in the memory 200, and when executed by the processor 100, perform a tire wear monitoring method according to an embodiment of the first aspect of the present application, for example, perform the above-described method steps S110 to S130 in fig. 1, method steps S210 to S230 in fig. 2, method steps S310 to S330 in fig. 3, method steps S410 to S420 in fig. 4, and method steps S510 to S540 in fig. 5.
In a third aspect, an embodiment of the present application provides a computer-readable storage medium storing computer-executable signals for performing:
a method of monitoring wear of a tire as in any embodiment of the first aspect.
For example, the above-described method steps S110 to S130 in fig. 1, method steps S210 to S230 in fig. 2, method steps S310 to S330 in fig. 3, method steps S410 to S420 in fig. 4, and method steps S510 to S540 in fig. 5 are performed.
The above-described embodiments of the apparatus are merely illustrative, and units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
From the above description of embodiments, those of ordinary skill in the art will appreciate that all or some of the steps, systems, and methods disclosed above may be implemented as software, firmware, hardware, and suitable combinations thereof. Some or all of the physical components may be implemented as software executed by a processor, such as a central processing unit, digital signal processor, or microprocessor, or as hardware, or as an integrated circuit, such as an application specific integrated circuit. Such software may be distributed on readable media, which may include computer storage media (or non-transitory media) and communication media (or transitory media). The term computer storage media includes both volatile and nonvolatile, removable and non-removable media implemented in any method or technology for storage of information such as computer readable signals, data structures, instruction modules or other data, as is well known to those of ordinary skill in the art. Computer storage media includes, but is not limited to, RAM, ROM, EEPROM, flash memory or other memory technology, CD-ROM, digital Versatile Disks (DVD) or other optical disk storage, magnetic cassettes, magnetic tape, magnetic disk storage or other magnetic storage devices, or any other medium which can be used to store the desired information and which can accessed by a computer. In addition, communication media typically embodies computer-readable signals, data structures, instruction modules or other data in a modulated data signal such as a carrier wave or other transport mechanism and includes any information delivery media as known to those skilled in the art.
The embodiments of the present application have been described in detail with reference to the drawings, but the present application is not limited to the embodiments described above, and various changes can be made within the knowledge of those skilled in the art without departing from the spirit of the present application.
Claims (10)
1. A method for monitoring tire wear, applied to a tire monitoring system, comprising:
acquiring image data of a tire;
performing extraction operation on the image data according to a tire tread projection extraction method to obtain a tread projection of the tire;
tire wear data for the tire is calculated from the tread pattern projections.
2. The method of monitoring tire wear of claim 1, wherein the image data includes first image data and second image data; the tire monitoring system comprises a monitoring module, the monitoring module comprises a first monitoring component, a second monitoring component and a laser transmitter, and the first monitoring component and the second monitoring component are movably arranged at different directions of the tire respectively; the acquiring image data of the tire comprises:
performing a laser irradiation operation on the tire by the laser transmitter;
acquiring first image data of the tire in real time through the first monitoring component;
second image data of the tire is acquired in real time by the second monitoring component.
3. The method for monitoring tire wear according to claim 1, wherein said extracting the image data according to a tire pattern projection extracting method to obtain the pattern projection of the tire comprises:
performing mean filtering operation on the image data to obtain smooth image data;
performing preprocessing operation on the smooth image data to obtain preprocessed image data;
and performing feature extraction operation on the preprocessed image data to obtain the tire tread projection of the tire.
4. The method of claim 3, wherein the performing a preprocessing operation on the smoothed image data to obtain preprocessed image data comprises:
performing image segmentation operation on the smooth image data according to a preset local threshold of the pattern projection to obtain segmented image data;
performing a region decomposition operation on the segmented image data according to a preset region decomposition operator to obtain first decomposed image data, and performing a deburring operation on the first decomposed image data to obtain second decomposed image data;
and performing interference filtering operation on the second decomposition image data according to a preset screening operator to obtain preprocessed image data.
5. The method of claim 3, wherein the performing a feature extraction operation on the preprocessed image data to obtain a tread projection of the tire comprises:
performing intersection operation on the smooth image data and the preprocessed image data according to a preset intersection operator to obtain intersection image data;
and performing region segmentation operation on the intersection image data according to a preset binarization threshold segmentation operator to obtain the tire tread projection of the tire.
6. The method of monitoring tire wear of claim 1, wherein the tire wear data includes groove depth, groove mean depth, and groove depth extrema, and the calculating tire wear data for the tire from the footprint projection includes:
performing laser triangulation extraction operation on the tire pattern projection to obtain tire wear two-dimensional data and tire wear three-dimensional data;
calculating a minimum circumscribed rectangle of the tread pattern projection according to the tire wear two-dimensional data, and obtaining groove approximate pixel depth data and groove missing data of the tire according to the minimum circumscribed rectangle;
performing splicing operation on the tire wear three-dimensional data, the groove approximate pixel depth data and the groove missing data according to a characteristic point cloud algorithm to obtain a characteristic point cloud model, and performing optimization operation on the characteristic point cloud model according to a curvature sampling algorithm to obtain an optimized point cloud model;
and performing curved surface reconstruction operation on the optimized point cloud model, and performing calculation operation on the reconstructed optimized point cloud model to obtain the groove depth, the average groove depth and the extreme groove depth value.
7. The method of monitoring tire wear of claim 6, further comprising: combining the tire wear data and a preset tire wear threshold range to obtain the wear condition of the tire, wherein the wear condition of the tire comprises one of the following conditions:
when the groove depth belongs to the tire wear threshold range, the wear condition is abnormal;
when the average groove depth belongs to the tire wear threshold range, the wear condition is abnormal;
when the extreme groove depth value belongs to the tire wear threshold range, the wear condition is abnormal; wherein the tire wear threshold range comprises at least one of:
the groove depth is less than a tire groove depth threshold; or the like, or, alternatively,
the average groove depth is less than the tire groove average depth threshold; or the like, or a combination thereof,
or the extreme groove depth value is smaller than the extreme tire groove depth value threshold.
8. The method of monitoring tire wear of claim 7, further comprising:
and when the wear condition is abnormal, sending the wear condition and early warning information corresponding to the wear condition to the terminal through a cloud server, wherein the early warning information comprises the current wear stage, the wear mode and the early warning time of the tire.
9. A tire wear simulation system, comprising:
at least one memory;
at least one processor;
at least one program;
the programs are stored in the memory, and the processor executes at least one of the programs to implement the tire wear monitoring method according to any one of claims 1 to 8.
10. A computer-readable storage medium storing computer-executable signals for performing the method of monitoring tire wear of any one of claims 1 to 8.
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| CN117571341A (en) * | 2024-01-16 | 2024-02-20 | 山东中亚轮胎试验场有限公司 | System and method for detecting omnibearing wear of tire |
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