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CN110966978B - Bicycle tire deformation detection method and device and bicycle - Google Patents

Bicycle tire deformation detection method and device and bicycle Download PDF

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Publication number
CN110966978B
CN110966978B CN201811153000.XA CN201811153000A CN110966978B CN 110966978 B CN110966978 B CN 110966978B CN 201811153000 A CN201811153000 A CN 201811153000A CN 110966978 B CN110966978 B CN 110966978B
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variance
bicycle
tire
orientation angle
circle
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CN110966978A (en
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刘烨波
苟斌
钭朝
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Qianxun Spatial Intelligence Inc
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    • GPHYSICS
    • G01MEASURING; TESTING
    • G01BMEASURING LENGTH, THICKNESS OR SIMILAR LINEAR DIMENSIONS; MEASURING ANGLES; MEASURING AREAS; MEASURING IRREGULARITIES OF SURFACES OR CONTOURS
    • G01B21/00Measuring arrangements or details thereof, where the measuring technique is not covered by the other groups of this subclass, unspecified or not relevant
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Abstract

The invention is suitable for the technical field of bicycles and provides a bicycle tire deformation detection method and device and a bicycle, wherein the detection method comprises the following steps: collecting motion data of a bicycle in a motion cycle, wherein the motion cycle is the time required by the tire of the bicycle to rotate for more than two weeks; acquiring a variance corresponding to the motion data; analyzing whether the tire is deformed based on the variance. According to the invention, the motion data such as the acceleration of the bicycle is collected, and whether the tire deforms or not is detected based on the variance corresponding to the acceleration, so that the detection efficiency is improved, and the running safety of the bicycle is also improved.

Description

Bicycle tire deformation detection method and device and bicycle
Technical Field
The invention belongs to the technical field of data transmission, and particularly relates to a bicycle tire deformation detection method and device and a bicycle.
Background
The vehicle is a necessary vehicle in real life, the safety of the vehicle is very important, and the problems of tire abrasion, deformation and the like can occur in the long-time use process of the vehicle, so that the vehicle tire needs to be detected, and is convenient to replace or repair in time so as to improve the driving safety. For example, the problem of deformation of a bicycle (such as a sharing bicycle) is easily caused by rubber aging due to factors such as sun, rain, long-term use and the like, and if the deformation is large and the rotating speed of a wheel is high in the driving process, the standing wave phenomenon is caused, so that the tire burst problem is caused.
In the prior art, a sensor is usually arranged in an automobile to detect a tire, a bicycle is not provided with a sensor to detect, and the bicycle is usually detected by naked eyes by a maintenance worker, so that small deformation is difficult to detect, and the maintenance efficiency is low.
Disclosure of Invention
The embodiment of the invention provides a bicycle tire deformation detection method and device and a bicycle, and aims to solve the problem of low maintenance efficiency caused by the fact that deformation of the bicycle needs to be detected through naked eyes in the prior art.
A method of detecting deformation of a bicycle tire, comprising:
collecting motion data of a bicycle in a motion cycle, wherein the motion cycle is the time required for a tire of the bicycle to rotate for more than two circles, and the motion data comprises acceleration;
acquiring a variance corresponding to the acceleration;
analyzing whether the tire is deformed based on the variance.
Preferably, the motion data comprises motion data for each revolution of the tire, and the obtaining the corresponding variance based on the motion data comprises:
film taking is carried out on the basis of the motion data corresponding to each circle, and a maximum mode corresponding to each circle is obtained;
acquiring an orientation angle corresponding to each circle based on the motion data corresponding to each circle;
calculating a corresponding variance based on the each circle of corresponding maximum modes and orientation angles.
Preferably, said calculating a corresponding variance based on said each turn corresponding maximum mode and orientation angle comprises:
calculating the module variance of the corresponding motion period based on the maximum module corresponding to each circle;
and calculating the orientation angle variance of the corresponding motion period based on the orientation angle corresponding to each circle.
Preferably, calculating the variance of the modulus of the corresponding motion period based on the maximum modulus corresponding to each circle comprises:
calculating a mode average value of the corresponding motion period based on the maximum mode corresponding to each circle;
calculating a modulus variance for a corresponding motion period based on the corresponding maximum modulus for each turn and the modulus mean.
Preferably, calculating the orientation angle variance of the corresponding motion cycle based on the orientation angle corresponding to each circle comprises:
calculating an average value of the orientation angles of the corresponding movement periods based on the orientation angle corresponding to each circle;
and calculating the orientation angle variance of the corresponding motion period based on the orientation angle corresponding to each circle and the average value of the orientation angles.
Preferably, analyzing whether the tire is deformed based on the variance and the acceleration data comprises:
judging whether the orientation angle variance is close to zero or not;
when the orientation angle variance is yes, judging whether the module variance is close to zero;
confirming deformation of the tire when the mode variance approaches zero.
Preferably, the acquiring the motion data of the bicycle in one motion cycle may further include:
acceleration data in a sampling direction is acquired while the bicycle is stationary.
Preferably, the acquiring acceleration data in the sampling direction while the bicycle is stationary includes:
acquiring acceleration data along a sampling direction when a bicycle is static, wherein the sampling direction comprises an X direction and a Y direction;
and performing modulus taking on the acceleration data in the X direction and the acceleration data in the Y direction to obtain a static modulus.
Preferably, when the module variance approaches zero, after confirming that the tire is deformed, the method further comprises:
analyzing whether the tire is in dangerous deformation or not based on the mode average value and the static mode;
and when dangerous deformation occurs, sending out an alarm prompt.
The present invention also provides a bicycle tire deformation detection device, comprising:
the bicycle comprises a collecting unit, a judging unit and a control unit, wherein the collecting unit is used for collecting motion data of a bicycle in a motion cycle, and the motion cycle is the time required by the tire of the bicycle to rotate for more than two circles;
the acquisition unit is used for acquiring the variance corresponding to the motion data;
an analysis unit for analyzing whether the tire is deformed based on the variance.
The present invention also provides a bicycle comprising a detection device of bicycle tire deformation, the detection device comprising:
the bicycle comprises a collecting unit, a judging unit and a control unit, wherein the collecting unit is used for collecting motion data of a bicycle in a motion cycle, and the motion cycle is the time required by the tire of the bicycle to rotate for more than two circles;
the acquisition unit is used for acquiring the variance corresponding to the motion data;
an analysis unit for analyzing whether the tire is deformed based on the variance.
The invention also provides a memory storing a computer program executed by a processor to perform the steps of:
collecting motion data of a bicycle in a motion cycle, wherein the motion cycle is the time required for a tire of the bicycle to rotate for more than two circles, and the motion data comprises acceleration;
acquiring a variance corresponding to the acceleration;
analyzing whether the tire is deformed based on the variance.
The invention also provides a detection terminal, which comprises a memory, a processor and a computer program which is stored in the memory and can run on the processor, wherein the processor executes the computer program to realize the following steps:
collecting motion data of a bicycle in a motion cycle, wherein the motion cycle is the time required for a tire of the bicycle to rotate for more than two circles, and the motion data comprises acceleration;
acquiring a variance corresponding to the acceleration;
analyzing whether the tire is deformed based on the variance.
In the embodiment of the invention, the motion data such as the acceleration of the bicycle is collected, and whether the tire is deformed is detected based on the variance corresponding to the acceleration, so that the detection efficiency is improved, and the running safety of the bicycle is also improved.
Drawings
FIG. 1 is a flow chart of a method for detecting tire deformation in a bicycle in accordance with a first embodiment of the present invention;
fig. 2 is a schematic diagram illustrating a sampling direction of a data transmission method according to a first embodiment of the present invention;
fig. 3 is a flowchart illustrating a step S2 of a data transmission method according to a first embodiment of the present invention;
fig. 4 is a flowchart illustrating a step S3 of a data transmission method according to a first embodiment of the present invention;
FIG. 5 is a block diagram of a bicycle tire deformation detecting device in accordance with a second embodiment of the present invention;
fig. 6 is a structural diagram of a detection terminal according to a third embodiment of the present invention.
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.
In an embodiment of the present invention, a method for detecting tire deformation of a bicycle includes: collecting motion data of a bicycle in a motion cycle, wherein the motion cycle is the time required by the tire of the bicycle to rotate for more than two weeks; acquiring a variance corresponding to the motion data; analyzing whether the tire is deformed based on the variance.
In order to explain the technical means of the present invention, the following description will be given by way of specific examples.
The first embodiment is as follows:
FIG. 1 is a flow chart illustrating a method for detecting tire deformation in a bicycle provided in a first embodiment of the present invention, the method including:
step S1, collecting the motion data of the bicycle in a motion cycle;
specifically, a movement period is set, the movement period is the time required by the tire of the bicycle to rotate for more than two weeks, and can be 2 weeks, 3 weeks, n weeks (n is a natural number greater than 2), and then movement data of the bicycle in one movement period is collected, and the movement data comprises movement data corresponding to each week. In this embodiment, an acceleration sensor is provided in the bicycle, with which the movement data is collected.
Step S2, acquiring the variance corresponding to the acceleration;
specifically, the motion data includes acceleration data including an acceleration value, and in this embodiment, the bicycle is specified to have a Z-axis direction as a forward direction, a Y-axis direction as a vertical direction (perpendicular to a horizontal direction), and an X-axis direction as a direction perpendicular to a plane in which the bicycle is located, and the acceleration data includes acceleration data in the X-axis, Y-axis, and Z-axis directions.
Preferably, the X-axis and Y-axis directions are taken as sampling directions (the X-axis direction represents a left-right shaking when deformed, and the Y-axis direction represents an up-down fluctuation when deformed, see fig. 2), and whether the tire is deformed or not is analyzed to obtain variances corresponding to the acceleration data in the X-axis and Y-axis directions.
Step S3, analyzing whether the tire is deformed based on the variance;
specifically, whether the tire is deformed or not is analyzed from the variance data.
In this embodiment, the motion data such as the acceleration of the bicycle is collected, and whether the tire is out of shape is detected based on the variance that the acceleration corresponds, improves detection efficiency, also improves bicycle safety of traveling.
In a preferable embodiment of this embodiment, the step S1 further includes:
step S4, acquiring acceleration data along the sampling direction when the bicycle is stationary;
specifically, the acceleration data along the sampling direction when the bicycle is stationary is collected with the X-axis and Y-axis directions as the sampling direction, and is preferably collected by the aforementioned acceleration sensor.
Further, firstly, acquiring acceleration data along the sampling direction when the bicycle is static, then taking the membrane from the acceleration data in the X-axis and Y-axis directions to obtain a static membrane, and adopting a formula: | R0|=sqrt(Vx0*Vx0+Vy0*Vy0) Wherein V isx0、Vy0Respectively representAcceleration value in the direction of X, Y.
In a preferred aspect of this embodiment, as shown in fig. 3, a specific flowchart of step S2 of the method for transmitting data according to the first embodiment of the present invention is provided, where the step S2 specifically includes:
step S21, film taking is carried out based on the motion data corresponding to each circle, and the maximum mode corresponding to each circle is obtained;
specifically, when the bicycle is in motion, acceleration data (V, respectively) in the X-axis and Y-axis directions are acquired for each rotation of the bicycle (preferably, acceleration data)xt、VytT denotes at a certain moment) and then according to the formula | Rt|=sqrt(Vxt*Vxt+Vyt*Vyt) Obtaining corresponding module, obtaining multiple modules by using multiple acceleration data in the process of one rotation, and selecting the maximum module in one rotation as | R |t|maxThat is, one maximum mode is obtained by one rotation, and then a plurality of maximum modes are obtained in one movement period, which are respectively recorded as: | R1|max、|R2|max......|Rn|maxOne revolution represents one sampling point.
Step S22, acquiring the orientation angle corresponding to each circle based on the motion data corresponding to each circle;
specifically, an orientation angle corresponding to each rotation is calculated based on acceleration data in the X-axis and Y-axis directions, and the orientation angle θ is arctan (V)yt/Vxt) Since the deformation of a point on the tire in a certain direction is close for each rotation of the bicycle during movement, each rotation corresponds to an orientation angle θ, and the orientation angle corresponding to one movement cycle comprises: theta1、θ2......θn
Step S23, calculating corresponding variance based on the maximum mode and orientation angle corresponding to each circle;
specifically, the mode variance of the corresponding period is calculated based on the maximum mode corresponding to each circle, and the orientation angle variance of the corresponding motion period is calculated based on the orientation angle corresponding to each circle.
In a further preferred embodiment of this embodiment, calculating the variance of the modulus of the corresponding period based on the maximum modulus corresponding to each circle specifically includes the following steps:
calculating a mode average value of the corresponding motion period based on the maximum mode corresponding to each circle;
in particular, the deformation of a point on the tire in a certain direction is close, i.e. the vector values (i.e. the modes) are close, i.e. the modes are close for each revolution, | Rn|max=|RnCalculating a mode average value P of the corresponding motion period based on the maximum mode corresponding to each circle, using the following formula
Figure BDA0001816088620000061
The average value of the model represents an acceleration amplitude value and represents the shaking intensity of the bicycle during movement;
calculating the module variance of the corresponding motion period based on the maximum module and the module average value corresponding to each circle;
specifically, according to the formula:
Figure BDA0001816088620000071
to calculate the module variance representing the stability of the jitter during the movement of the bicycle, i.e. the amplitude of the deformation of the tyre occurring in a fixed position, approximately fixed.
In a further preferred embodiment of this embodiment, the calculating the variance of the orientation angle corresponding to the motion period based on the orientation angle corresponding to each circle specifically includes:
calculating an average value of the orientation angles of the corresponding movement periods based on the orientation angle corresponding to each circle;
specifically, the average value of the orientation angles corresponding to the movement period is calculated according to the orientation angle corresponding to each circle in the movement period, and according to a formula:
Figure BDA0001816088620000072
to calculate an average value of the orientation angle, which may represent the direction of shake of the bicycle during movement.
Calculating the orientation angle variance of the corresponding motion period based on the orientation angle corresponding to each circle and the average value of the orientation angles;
specifically, according to the variance formula:
Figure BDA0001816088620000073
to calculate an orientation angle variance that can represent the stability of the bicycle in the direction of shake during movement.
In a preferred aspect of this embodiment, as shown in fig. 4, a detailed flowchart of step S3 of the method for transmitting data according to the first embodiment of the present invention is provided, where the step S3 specifically includes:
step S31, judging whether the orientation angle variance is close to zero;
specifically, it is first determined whether the calculated orientation angle variance is close to zero, and when it is determined yes, it indicates that the tire has sampling points in the same deformation direction in a plurality of movement periods (i.e., sampling periods), and then it goes to step S32, otherwise it goes to step S33; preferably, the orientation angle variance is compared with zero, when the orientation angle variance does not exceed a first preset value, the orientation angle variance is close to zero, otherwise, the orientation angle variance is not close to zero, and the first preset value is set according to practical situations (for example, 0.1), which is not limited herein.
Step S32, judging whether the module square difference is zero;
specifically, when the orientation angle variance is zero, further determining whether the film variance is close to zero, when the mode variance is close to zero, indicating that all sampling points in the motion period have approximately fixed acceleration amplitude values, and then going to step S34, otherwise going to step S33;
step S33, confirming that the tire is not deformed;
step S34, confirming that the tire is deformed;
in a preferable embodiment of this embodiment, after step S34, the method further includes:
step S35, whether the tire has dangerous deformation is analyzed based on the mold average value and the static mold;
specifically, a difference between the average value of the modulus and the static modulus is first obtained, and when the difference exceeds a threshold value, it indicates that the tire is seriously deformed and dangerous deformation occurs, so the process goes to step S36, and when the difference does not exceed the threshold value, it indicates that the deformation is not serious, wherein the specific size of the threshold value may be set according to the actual situation, and this is not limited herein;
step S36, when dangerous deformation occurs, an alarm prompt is sent out;
specifically, the alarm prompt can be sent out in a voice, vibration or buzzing mode.
In the embodiment, the motion data such as the acceleration of the bicycle is collected, and whether the tire deforms or not is detected based on the variance corresponding to the acceleration, so that the detection efficiency is improved, and the running safety of the bicycle is also improved;
secondly, set up sensor real time monitoring acceleration in the bicycle, can improve driving safety, need not whether the naked eye detects the tire and warp, improve the practicality.
Example two:
as shown in fig. 5, a second embodiment of the present invention provides a structure of a bicycle tire deformation detecting device, wherein the transmission device comprises: acquisition unit 1, the acquisition unit 2 of being connected with acquisition unit 1, with the analysis unit 3 of obtaining unit 2 and being connected, wherein:
the bicycle motion monitoring system comprises a collecting unit 1, a control unit and a control unit, wherein the collecting unit 1 is used for collecting motion data of a bicycle in a motion cycle;
specifically, a movement period is set, the movement period is the time required by the tire of the bicycle to rotate for more than two weeks, and can be 2 weeks, 3 weeks, n weeks (n is a natural number greater than 2), and then movement data of the bicycle in one movement period is collected, and the movement data comprises movement data corresponding to each week. In this embodiment, an acceleration sensor is provided in the bicycle, with which the movement data is collected. Preferably, the acquisition unit 1 is preferably a sensor and is provided in a bicycle.
An obtaining unit 2, configured to obtain a variance corresponding to the acceleration;
specifically, the motion data includes acceleration data including an acceleration value, and in this embodiment, the bicycle is specified to have a Z-axis direction as a forward direction, a Y-axis direction as a vertical direction (perpendicular to a horizontal direction), and an X-axis direction as a direction perpendicular to a plane in which the bicycle is located, and the acceleration data includes acceleration data in the X-axis, Y-axis, and Z-axis directions.
Preferably, the X-axis and Y-axis directions are taken as sampling directions (the X-axis direction represents a leftward and rightward shake when deformed, and the Y-axis direction represents an upward and downward fluctuation when deformed), and whether the tire is deformed or not is analyzed, and the variance corresponding to the acceleration data in the X-axis and Y-axis directions is obtained.
An analysis unit 3 for analyzing whether the tire is deformed based on the variance;
specifically, whether the tire is deformed or not is analyzed from the variance data.
In this embodiment, the motion data such as the acceleration of the bicycle is collected, and whether the tire is out of shape is detected based on the variance that the acceleration corresponds, improves detection efficiency, also improves bicycle safety of traveling.
In a preferred embodiment of the present embodiment, the adoption unit 1 is further configured to:
acquiring acceleration data along a sampling direction when the bicycle is static;
specifically, the acceleration data along the sampling direction when the bicycle is stationary is collected with the X-axis and Y-axis directions as the sampling direction, and is preferably collected by the aforementioned acceleration sensor.
Further, firstly, acquiring acceleration data along the sampling direction when the bicycle is static, then taking the membrane from the acceleration data in the X-axis and Y-axis directions to obtain a static membrane, and adopting a formula: | R0|=sqrt(Vx0*Vx0+Vy0*Vy0) Wherein V isx0、Vy0Respectively, indicate acceleration values in the direction X, Y.
In a preferred embodiment of this embodiment, the obtaining unit 2 specifically includes: the module obtains subunit, the orientation angle that obtains subunit with module and is connected, obtains the variance calculation subunit that the subunit is connected with orientation angle, wherein:
the module acquisition subunit is used for taking the film based on the motion data corresponding to each circle to obtain the maximum module corresponding to each circle;
specifically, when the bicycle is in motion, acceleration data (V, respectively) in the X-axis and Y-axis directions are acquired for each rotation of the bicycle (preferably, acceleration data)xt、VytT denotes at a certain moment) and then according to the formula | Rt|=sqrt(Vxt*Vxt+Vyt*Vyt) Obtaining corresponding module, obtaining multiple modules by using multiple acceleration data in the process of one rotation, and selecting the maximum module in one rotation as | R |t|maxThat is, one maximum mode is obtained by one rotation, and then a plurality of maximum modes are obtained in one movement period, which are respectively recorded as: | R1|max、|R2|max......|R|maxOne revolution represents one sampling point.
The orientation angle acquisition subunit is used for acquiring the orientation angle corresponding to each circle based on the motion data corresponding to each circle;
specifically, an orientation angle corresponding to each rotation is calculated based on acceleration data in the X-axis and Y-axis directions, and the orientation angle θ is arctan (V)yt/Vxt) Since the deformation of a point on the tire in a certain direction is close for each rotation of the bicycle during movement, each rotation corresponds to an orientation angle θ, and the orientation angle corresponding to one movement cycle comprises: theta1、θ2......θn
The variance calculating subunit is used for calculating corresponding variances based on the maximum mode and the orientation angle corresponding to each circle;
specifically, the mode variance of the corresponding period is calculated based on the maximum mode corresponding to each circle, and the orientation angle variance of the corresponding motion period is calculated based on the orientation angle corresponding to each circle.
In a further preferred embodiment of this embodiment, the variance calculating subunit calculates the module variance of the corresponding period based on the maximum module corresponding to each circle as follows:
calculating a mode average value of the corresponding motion period based on the maximum mode corresponding to each circle;
in particular, a certain point on the tyre for each revolutionThe deformations in a certain direction are close, i.e. the vector values (i.e. the modes) are close, i.e. the modes per revolution are close, | Rn|max=|RnCalculating a mode average value P of the corresponding motion period based on the maximum mode corresponding to each circle, using the following formula
Figure BDA0001816088620000101
The average value of the model represents an acceleration amplitude value and represents the shaking intensity of the bicycle during movement;
calculating the module variance of the corresponding motion period based on the maximum module and the module average value corresponding to each circle;
specifically, according to the formula:
Figure BDA0001816088620000111
to calculate the module variance representing the stability of the jitter during the movement of the bicycle, i.e. the amplitude of the deformation of the tyre occurring in a fixed position, approximately fixed.
In a further preferred embodiment of this embodiment, the specific process of calculating the orientation angle variance of the corresponding motion period based on the orientation angle corresponding to each circle by the variance calculation subunit includes:
calculating an average value of the orientation angles of the corresponding movement periods based on the orientation angle corresponding to each circle;
specifically, the average value of the orientation angles corresponding to the movement period is calculated according to the orientation angle corresponding to each circle in the movement period, and according to a formula:
Figure BDA0001816088620000112
to calculate an average value of the orientation angle, which may represent the direction of shake of the bicycle during movement.
Calculating the orientation angle variance of the corresponding motion period based on the orientation angle corresponding to each circle and the average value of the orientation angles;
specifically, according to the variance formula:
Figure BDA0001816088620000113
to calculate the variance of the orientation angle, the orientationThe angular variance may represent the stability of the shake direction of the bicycle during movement.
In a preferred embodiment of this embodiment, the analysis unit 3 specifically includes: the judging subunit, with judge subunit's connected affirmation subunit, wherein:
a judgment subunit, configured to judge whether the orientation angle variance is close to zero;
specifically, it is first determined whether the calculated orientation angle variance is close to zero, and when it is determined yes, it indicates that the tire has sampling points in the same deformation direction in a plurality of movement periods (i.e., sampling periods), and then it goes to step S32, otherwise it goes to step S33; preferably, the orientation angle variance is compared with zero, when the orientation angle variance does not exceed a first preset value, the orientation angle variance is close to zero, otherwise, the orientation angle variance is not close to zero, and the first preset value is set according to practical situations (for example, 0.1), which is not limited herein.
And is used for judging whether the module variance is zero or not, further judging whether the film variance is close to zero or not when the orientation angle variance is zero, indicating that all sampling points in the motion period have approximately fixed acceleration amplitude values when the module variance is close to zero, and then feeding back the judgment result to the confirming subunit,
and the confirming subunit is used for confirming that the tire is not deformed when the orientation angle variance is judged to be not close to zero and the film variance is judged to be not close to zero, and confirming that the tire is deformed when the orientation angle variance is judged to be close to zero and the film variance is also judged to be close to zero.
In a preferred embodiment of this embodiment, the analysis unit 3 further includes: the analysis subunit is connected with the confirmation subunit, and the alarm subunit is connected with the analysis subunit, wherein:
the analysis subunit is used for analyzing whether the tire is in dangerous deformation or not based on the mold average value and the static mold;
specifically, a difference between the average value of the models and the stationary model is obtained, when the difference exceeds a threshold value, it indicates that the tire is seriously deformed and dangerous deformation occurs, and then the difference is fed back to the alarm subunit, and when the difference does not exceed the threshold value, it indicates that the deformation is not serious, wherein the specific size of the threshold value can be set according to the actual situation, and is not limited herein;
the alarm subunit is used for sending out an alarm prompt when dangerous deformation occurs;
specifically, the alarm prompt can be sent out in a voice, vibration or buzzing mode.
In the embodiment, the motion data such as the acceleration of the bicycle is collected, and whether the tire deforms or not is detected based on the variance corresponding to the acceleration, so that the detection efficiency is improved, and the running safety of the bicycle is also improved;
secondly, set up sensor real time monitoring acceleration in the bicycle, can improve driving safety, need not whether the naked eye detects the tire and warp, improve the practicality.
The present invention further provides a bicycle, which includes a device for detecting deformation of a bicycle tire, and the specific structure, operation principle and corresponding technical effects of the device for detecting deformation of a bicycle tire described in the second embodiment are substantially the same, and are not repeated herein. The bicycle is preferably a shared bicycle.
Example three:
fig. 6 is a structural diagram of a detection terminal according to a third embodiment of the present invention, where the detection terminal includes: a memory (memory)61, a processor (processor)62, a communication Interface (communication Interface)63 and a bus 64, wherein the processor 62, the memory 61 and the communication Interface 63 complete mutual communication through the bus 64.
A memory 61 for storing various data;
specifically, the memory 61 is used for storing various data, such as data in communication, received data, and the like, and is not limited herein, and the memory further includes a plurality of computer programs.
A communication interface 63 for information transmission between communication devices of the detection terminal;
the processor 62 is used for calling various computer programs in the memory 61 to execute a method for detecting deformation of a bicycle tire provided in the first embodiment, such as:
collecting motion data of a bicycle in a motion cycle, wherein the motion cycle is the time required by the tire of the bicycle to rotate for more than two weeks;
acquiring a variance corresponding to the motion data;
analyzing whether the tire is deformed based on the variance.
In this embodiment, the motion data such as the acceleration of the bicycle is collected, and whether the tire is out of shape is detected based on the variance that the acceleration corresponds, improves detection efficiency, also improves bicycle safety of traveling.
The present invention also provides a memory, which stores a plurality of computer programs that are invoked by the processor to perform the method for detecting tire deformation of a bicycle according to the first embodiment.
According to the invention, the motion data such as the acceleration of the bicycle is collected, and whether the tire deforms or not is detected based on the variance corresponding to the acceleration, so that the detection efficiency is improved, and the running safety of the bicycle is also improved;
secondly, set up sensor real time monitoring acceleration in the bicycle, can improve driving safety, need not whether the naked eye detects the tire and warp, improve the practicality.
Those of ordinary skill in the art will appreciate that the various illustrative elements and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware or combinations of computer software and electronic hardware. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the implementation.
Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present invention. The above description is only for the specific embodiments of the present invention, but the scope of the present invention is not limited thereto, and any person skilled in the art can easily conceive of the changes or substitutions within the technical scope of the present invention, and all the changes or substitutions should be covered within the scope of the present invention. Therefore, the protection scope of the present invention shall be subject to the protection scope of the claims.

Claims (10)

1. A method for detecting deformation of a bicycle tire, comprising:
collecting motion data of a bicycle in a motion cycle, wherein the motion cycle is the time required for a tire of the bicycle to rotate for more than two circles, and the motion data comprises acceleration;
acquiring a variance corresponding to the acceleration;
analyzing whether the tire is deformed based on the variance;
the motion data comprises an acceleration corresponding to each revolution of the tire, and the obtaining a corresponding variance based on the acceleration comprises:
performing modulus taking based on the acceleration corresponding to each circle to obtain a maximum modulus corresponding to each circle;
acquiring an orientation angle corresponding to each circle based on the acceleration corresponding to each circle;
calculating a corresponding variance based on the corresponding maximum mode and orientation angle of each circle;
said calculating a corresponding variance based on said each turn corresponding maximum mode and orientation angle comprises:
calculating the module variance of the corresponding motion period based on the maximum module corresponding to each circle;
calculating an orientation angle variance of the corresponding movement period based on the orientation angle corresponding to each circle;
analyzing whether the tire is deformed based on the variance includes:
judging whether the orientation angle variance is close to zero or not;
when the orientation angle variance is judged to be close to zero, judging whether the module variance is close to zero or not;
and when the module variance is judged to be close to zero, confirming that the tire is deformed.
2. The detection method according to claim 1, wherein calculating a mode variance of a corresponding motion period based on the maximum mode corresponding to each turn comprises:
calculating a mode average value of the corresponding motion period based on the maximum mode corresponding to each circle;
calculating a modulus variance for a corresponding motion period based on the corresponding maximum modulus for each turn and the modulus mean.
3. The detection method according to claim 2, wherein calculating the orientation angle variance for the corresponding motion cycle based on the orientation angle for each revolution comprises:
calculating an average value of the orientation angles of the corresponding movement periods based on the orientation angle corresponding to each circle;
and calculating the orientation angle variance of the corresponding motion period based on the orientation angle corresponding to each circle and the average value of the orientation angles.
4. The method of claim 3, wherein said collecting motion data for a cycle of motion of the bicycle further comprises:
acceleration data in a sampling direction is acquired while the bicycle is stationary.
5. The detection method according to claim 4, wherein the acquiring acceleration data in the sampling direction while the bicycle is stationary comprises:
acquiring acceleration data along a sampling direction when a bicycle is static, wherein the sampling direction comprises an X direction and a Y direction;
and performing modulus taking on the acceleration data in the X direction and the acceleration data in the Y direction to obtain a static modulus.
6. The method of claim 5, wherein confirming that the tire is deformed when the modulus variance is determined to be near zero further comprises:
analyzing whether the tire is in dangerous deformation or not based on the mode average value and the static mode;
and when dangerous deformation occurs, sending out an alarm prompt.
7. A bicycle tire deformation detection device, comprising:
the bicycle comprises a collecting unit, a judging unit and a control unit, wherein the collecting unit is used for collecting motion data of a bicycle in a motion cycle, and the motion cycle is the time required by the tire of the bicycle to rotate for more than two circles;
the acquisition unit is used for acquiring the variance corresponding to the motion data;
an analysis unit for analyzing whether the tire is deformed based on the variance;
the motion data comprises an acceleration corresponding to each revolution of the tire, and the obtaining a corresponding variance based on the acceleration comprises:
performing modulus taking based on the acceleration corresponding to each circle to obtain a maximum modulus corresponding to each circle;
acquiring an orientation angle corresponding to each circle based on the acceleration corresponding to each circle;
calculating a corresponding variance based on the corresponding maximum mode and orientation angle of each circle;
said calculating a corresponding variance based on said each turn corresponding maximum mode and orientation angle comprises:
calculating the module variance of the corresponding motion period based on the maximum module corresponding to each circle;
calculating an orientation angle variance of the corresponding movement period based on the orientation angle corresponding to each circle;
analyzing whether the tire is deformed based on the variance includes:
judging whether the orientation angle variance is close to zero or not;
when the orientation angle variance is judged to be close to zero, judging whether the module variance is close to zero or not;
and when the module variance is judged to be close to zero, confirming that the tire is deformed.
8. A bicycle, characterized in that it comprises a bicycle tyre deformation detection device according to claim 7.
9. A memory storing a computer program characterized in that the computer program is executed by a processor for performing the steps of the detection method as claimed in claim 1.
10. A detection terminal comprising a memory, a processor and a computer program stored in said memory and executable on said processor, characterized in that said processor implements the steps of the method for detecting a deformation of a bicycle tyre according to any one of claims 1 to 6 when executing said computer program.
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