CN113781752A - Brake pad early warning method and device, electronic equipment and storage medium - Google Patents
Brake pad early warning method and device, electronic equipment and storage medium Download PDFInfo
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- CN113781752A CN113781752A CN202110973273.4A CN202110973273A CN113781752A CN 113781752 A CN113781752 A CN 113781752A CN 202110973273 A CN202110973273 A CN 202110973273A CN 113781752 A CN113781752 A CN 113781752A
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- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B21/00—Alarms responsive to a single specified undesired or abnormal condition and not otherwise provided for
- G08B21/18—Status alarms
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60T—VEHICLE BRAKE CONTROL SYSTEMS OR PARTS THEREOF; BRAKE CONTROL SYSTEMS OR PARTS THEREOF, IN GENERAL; ARRANGEMENT OF BRAKING ELEMENTS ON VEHICLES IN GENERAL; PORTABLE DEVICES FOR PREVENTING UNWANTED MOVEMENT OF VEHICLES; VEHICLE MODIFICATIONS TO FACILITATE COOLING OF BRAKES
- B60T1/00—Arrangements of braking elements, i.e. of those parts where braking effect occurs specially for vehicles
- B60T1/02—Arrangements of braking elements, i.e. of those parts where braking effect occurs specially for vehicles acting by retarding wheels
- B60T1/06—Arrangements of braking elements, i.e. of those parts where braking effect occurs specially for vehicles acting by retarding wheels acting otherwise than on tread, e.g. employing rim, drum, disc, or transmission or on double wheels
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60T—VEHICLE BRAKE CONTROL SYSTEMS OR PARTS THEREOF; BRAKE CONTROL SYSTEMS OR PARTS THEREOF, IN GENERAL; ARRANGEMENT OF BRAKING ELEMENTS ON VEHICLES IN GENERAL; PORTABLE DEVICES FOR PREVENTING UNWANTED MOVEMENT OF VEHICLES; VEHICLE MODIFICATIONS TO FACILITATE COOLING OF BRAKES
- B60T17/00—Component parts, details, or accessories of power brake systems not covered by groups B60T8/00, B60T13/00 or B60T15/00, or presenting other characteristic features
- B60T17/18—Safety devices; Monitoring
- B60T17/22—Devices for monitoring or checking brake systems; Signal devices
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- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B21/00—Alarms responsive to a single specified undesired or abnormal condition and not otherwise provided for
- G08B21/18—Status alarms
- G08B21/187—Machine fault alarms
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Abstract
The invention provides a brake pad early warning method, a brake pad early warning device, electronic equipment and a storage medium, wherein the brake pad early warning method comprises the following steps: obtaining historical brake data, and obtaining a loss influence coefficient of a brake pad based on the historical brake data; wherein, historical braking data includes historical: the brake number, the pressure of the brake pad, the contact duration of the brake pad, the instantaneous vehicle speed, the friction coefficient of the brake pad and the loss thickness of the brake pad; acquiring real-time brake data, and acquiring real-time loss thickness of the brake pad based on the real-time brake data and the loss influence coefficient; wherein, real-time brake data includes real-time: instantaneous vehicle speed, brake pad pressure and brake pad contact duration; and alarming under the condition that the brake risk is determined to exist based on the real-time loss thickness of the brake pad. The brake pad early warning method provided by the invention can realize effective warning of the vehicle brake pad and avoid traffic accidents caused by untimely braking due to the factors of the vehicle.
Description
Technical Field
The invention relates to the technical field of vehicles, in particular to a brake pad early warning method and device, electronic equipment and a storage medium.
Background
Brake pads for vehicles are subject to wear during use. If the brake block is worn excessively, the brake block is not replaced in time, so that the brake is abnormal and even fails, and extremely serious consequences can be caused. When a driver goes out of a vehicle in daily situations, the driver cannot carefully check the vehicle, only subjective judgment can be relied on, and great potential safety hazards exist. Once the freight car with the hidden braking trouble is on the road, the personnel driving the car is unskilled in technology, insufficient in experience, lack of safe driving knowledge, and not mastering the characteristics of driving on a complex road in case of emergency, and the forced emergency braking may cause serious consequences; when the brake is slowly braked, the brake pad is seriously abraded and even fails, so that the braking distance is too long, the brake is not timely, and serious consequences can be brought. Therefore, effective warning on the vehicle brake block is important, timely replacement is important, and traffic accidents caused by untimely braking due to vehicle factors can be avoided to a great extent.
Disclosure of Invention
The invention provides a brake pad early warning method, a brake pad early warning device, electronic equipment and a storage medium, which can realize effective warning of a vehicle brake pad so as to check and replace the brake pad in time and further avoid traffic accidents caused by untimely braking due to vehicle factors.
The invention provides a brake pad early warning method, which comprises the following steps:
obtaining historical brake data, and obtaining a loss influence coefficient of a brake pad based on the historical brake data; wherein the historical braking data comprises historical: the brake number, the pressure of the brake pad, the contact duration of the brake pad, the instantaneous vehicle speed, the friction coefficient of the brake pad and the loss thickness of the brake pad;
obtaining real-time brake data, and obtaining the real-time loss thickness of the brake pad based on the real-time brake data and the loss influence coefficient; wherein the real-time braking data comprises real-time: instantaneous vehicle speed, brake pad pressure and brake pad contact duration;
and alarming under the condition that the brake risk is determined to exist based on the real-time loss thickness of the brake pad.
The brake pad early warning method provided by the invention further comprises the following steps:
obtaining the brake pad loss rate based on the real-time loss thickness of the brake pad and the brake times of the historical target time period;
obtaining the braking times of the current time period, the real-time loss thickness of a brake pad corresponding to each braking in the current time period, the thickness of the brake pad in the previous time period and a critical value;
based on the number of times of braking of current time quantum the brake block that each time brake corresponds in the current time quantum decreases thickness the brake block thickness of last time quantum the critical value reaches brake block loss rate obtains behind the current time quantum, the time that needs to change the brake block.
According to the brake pad early warning method provided by the invention, the warning is given under the condition that the brake risk is determined to exist based on the real-time loss thickness of the brake pad, and the warning comprises the following steps:
obtaining the thickness of the brake pad in the current time period based on the braking times in the current time period, the brake pad loss thickness corresponding to each braking in the current time period and the thickness of the brake pad in the previous time period;
and under the condition that the difference value between the thickness of the brake pad in the current time period and the thickness of the brake pad in the previous time period is smaller than the critical value, determining that the brake risk exists, and giving an alarm.
According to the brake pad early warning method provided by the invention, the obtaining of the loss influence coefficient of the brake pad based on the historical brake data comprises the following steps:
obtaining the loss influence coefficient based on the following formula:
wherein alpha isFor said loss influence coefficient, δnThickness of brake pad for the historical nth time period, delta0Thickness of brake pad, mu, for an initial period of time1TIs a historical brake pad coefficient of friction, F1iIs the ith brake pad pressure at the mth brake1iIs the ith instant vehicle speed in the historical mth braking, c is the historical braking times, k1 is the historical braking data acquisition times in the historical mth braking, tmThe contact time of the brake block of the mth brake is historical.
According to the brake pad early warning method provided by the invention, the obtaining of the real-time loss thickness of the brake pad based on the real-time brake data and the loss influence coefficient comprises the following steps:
and obtaining the real-time loss thickness of the brake pad based on the following formula:
wherein delta is the real-time loss thickness mu of the brake pad2TFor real-time brake pad coefficient of friction, F2iI-th brake pad pressure, v, of real-time braking2iThe ith instant speed of the real-time brake, t the contact duration of the brake pad of the real-time brake, k2The number of times of obtaining brake data during real-time braking is determined.
The brake pad early warning method provided by the invention further comprises the following steps:
obtaining a plurality of brake pad temperatures and a plurality of brake pad friction coefficients corresponding to the plurality of brake pad temperatures;
obtaining a corresponding relation between the brake pad friction coefficient and the brake pad temperature based on the brake pad temperatures and the brake pad friction coefficients;
and obtaining the historical brake pad friction coefficient and the real-time brake pad friction coefficient based on the corresponding relation between the brake pad friction coefficient and the brake pad temperature, and the historical brake pad temperature and the real-time brake pad temperature.
The invention also provides a brake pad early warning device, which comprises:
the brake control system comprises a first acquisition module, a second acquisition module and a control module, wherein the first acquisition module is used for acquiring historical brake data and obtaining a loss influence coefficient of a brake pad based on the historical brake data; wherein the historical braking data comprises historical: the brake number, the pressure of the brake pad, the contact duration of the brake pad, the instantaneous vehicle speed, the friction coefficient of the brake pad and the loss thickness of the brake pad;
the second acquisition module is used for acquiring real-time brake data and acquiring the real-time loss thickness of the brake pad based on the real-time brake data and the loss influence coefficient; wherein the real-time braking data comprises real-time: instantaneous vehicle speed, brake pad pressure and brake pad contact duration;
and the warning module is used for warning under the condition that the brake risk is determined to exist based on the real-time loss thickness of the brake pad.
The brake pad early warning device provided by the invention further comprises:
the first calculation module is used for obtaining the brake pad loss rate based on the real-time brake pad loss thickness and the brake times of a historical target time period;
the third acquisition module is used for acquiring the braking times in the current time period, the real-time loss thickness of the brake pad corresponding to each braking in the current time period, the thickness of the brake pad in the previous time period and a critical value;
and the second calculation module is used for calculating the brake pad loss rate according to the brake loss rate and the brake time of the current time period.
The invention also provides electronic equipment which comprises a memory, a processor and a computer program which is stored on the memory and can run on the processor, wherein the processor executes the program to realize the steps of the brake pad early warning method.
The invention also provides a non-transitory computer readable storage medium having stored thereon a computer program which, when executed by a processor, carries out the steps of the brake pad warning method according to any one of the preceding claims.
The invention also provides a computer program product comprising a computer program which, when executed by a processor, implements the steps of the brake pad warning method as described in any one of the above.
According to the brake pad early warning method, the brake pad early warning device, the electronic equipment and the storage medium, the loss influence coefficient of the brake pad is obtained by obtaining historical brake data and based on the historical brake data; wherein, historical braking data includes historical: the brake number, the pressure of the brake pad, the contact duration of the brake pad, the instantaneous vehicle speed, the friction coefficient of the brake pad and the loss thickness of the brake pad; acquiring real-time brake data, and acquiring real-time loss thickness of the brake pad based on the real-time brake data and the loss influence coefficient; wherein, real-time brake data includes real-time: instantaneous vehicle speed, brake pad pressure and brake pad contact duration; and alarming under the condition that the brake risk is determined to exist based on the real-time loss thickness of the brake pad.
According to the invention, the loss influence coefficient of the brake pad is firstly obtained through historical brake data, then the loss influence coefficient of the brake pad is utilized to calculate the real-time loss thickness of the brake pad, whether brake risk exists is judged through the real-time loss thickness of the brake pad, and then effective warning of the vehicle brake pad is realized, so that the brake pad can be timely checked and replaced, and further traffic accidents caused by untimely braking due to factors of the vehicle are avoided.
Drawings
In order to more clearly illustrate the technical solutions of the present invention or the prior art, the drawings needed for the description of the embodiments or the prior art will be briefly described below, and it is obvious that the drawings in the following description are some embodiments of the present invention, and those skilled in the art can also obtain other drawings according to the drawings without creative efforts.
FIG. 1 is a schematic flow chart of a brake pad warning method according to the present invention;
FIG. 2 is a second schematic flow chart of a brake pad warning method according to the present invention;
FIG. 3 is a graph of instantaneous vehicle speed versus time as braking data is collected in accordance with the present invention;
FIG. 4 is a graph of brake pad pressure versus time for the acquisition of braking data provided by the present invention;
FIG. 5 is a schematic structural diagram of a brake pad warning device provided by the present invention;
fig. 6 is a schematic structural diagram of an electronic device provided in the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention clearer, the technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings, and it is obvious that the described embodiments are some, but not all embodiments of the present invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
The brake pad warning method, the brake pad warning device, the electronic device and the storage medium according to the present invention are described below with reference to fig. 1 to 6.
As shown in fig. 1, the brake pad early warning method provided by the invention comprises the following steps:
It will be appreciated that the brake pads of the present invention are brake wheels in a vehicle, which may further be a truck. The loss influence coefficient is a factor influencing the loss thickness of the brake pad.
As shown in fig. 2, historical brake data can be acquired through the server big data platform and acquired through the sensing device arranged on the brake pad, and when a driver steps on the brake, the sensing device on the brake pad uploads the acquired brake data to the server big data platform and the server big data platform processes the brake data.
Further, the sensing devices on the brake pads may include a vehicle locating device and a brake sensing device. The vehicle positioning device is used for acquiring vehicle position information, and the brake sensing device is used for acquiring brake data.
It should be noted that, when the driver steps on the brake each time, the duration of stepping on the brake is correspondingly set, the duration of stepping on the brake is divided into a plurality of cells, and in each cell, the sensing device uploads brake data to the server big data platform once.
Fig. 3 shows the relationship between the instantaneous vehicle speed v and the time t when the braking data are acquired n times during the contact time of the brake pad.
Fig. 4 shows the relationship between the brake pad pressure F and the time t when the brake data is acquired for n times during the brake pad contact time.
The braking frequency may be a braking frequency in a time period, for example, a time period of days, and the braking frequency may be a historical braking frequency in a certain day or a historical braking frequency in a certain number of days.
The brake pad contact duration is the length of time between the brake pad contacting the brake disc and leaving the brake disc. The instantaneous vehicle speed is the instantaneous speed of the vehicle when braking. The friction coefficient of the brake pad is the friction coefficient between the brake disc and the brake disc.
In some embodiments, after the initial historical brake data is obtained, the initial historical brake data is cleaned, and abnormal point data is cleaned according to a preset cleaning rule.
It can be understood that the real-time brake data can be acquired through the server big data platform.
The real-time instant vehicle speed is the vehicle speed at the current moment, and the real-time brake pad contact duration is the time length between the brake pad contacting the brake disc and leaving the brake disc at the current moment.
And step 130, giving an alarm under the condition that the brake risk is determined to exist based on the real-time loss thickness of the brake pad.
As can be appreciated. The residual thickness of the brake pad can be calculated based on the real-time loss thickness of the brake pad and the initial thickness of the brake pad, whether the residual thickness of the brake pad meets the condition of normal braking is judged, if the residual thickness of the brake pad meets the condition of normal braking, it is determined that the real-time loss thickness of the brake pad does not have the braking risk, and otherwise, it is determined that the real-time loss thickness of the brake pad does not have the braking risk.
In some embodiments, the brake pad warning method further includes:
obtaining the brake pad loss rate based on the real-time loss thickness of the brake pad and the brake times of the historical target time period;
obtaining the braking times of the current time period, the real-time loss thickness of a brake pad corresponding to each braking in the current time period, the thickness of the brake pad in the previous time period and a critical value;
and obtaining the time for replacing the brake pad after the current time period based on the braking times of the current time period, the brake pad loss thickness corresponding to each braking in the current time period, the brake pad thickness of the previous time period, the critical value and the brake pad loss rate.
It is understood that the historical target time period may be a day of the history. The brake number of times of the day is obtained, the loss thickness of the brake pad during each braking can be obtained based on the real-time loss thickness of the brake pad, the brake number of times of the day is combined, the loss thickness of the brake pad of the day can be obtained, and the loss rate of the brake pad in the day is obtained.
The formula for calculating the time required to replace the brake pad is as follows:
wherein, deltan-1Is the thickness of the brake block at the n-1 th day, i is the braking frequency at the n-th day, z is the braking frequency at the z-th day, deltazThickness of brake pad loss, delta, for the z-th brake on the nth daynThickness of the brake pad on the nth day, delta0Is the initial thickness of the brake pad, k0The thickness reserve of the brake block can be 1mm, the thickness reserve of the brake block is used for compensating the error of the loss influence coefficient,
when the thickness of the current brake pad is one third of the initial thickness of the brake pad, the brake pad needs to be replaced, for example: the original thickness of the brake pad is about 1.5cm, and when the set value is 0.6cm, the brake pad needs to be replaced, so that a series of consequences caused by excessive loss of the brake pad can be avoided as far as possible.
Namely the critical value of the brake risk existing in the thickness of the brake pad.
The average loss thickness per day of the brake pad.
The thickness loss of the brake pad caused by daily driving of the driver is obtained by constructing a user portrait of the brake behavior data of the driver and continuously correcting the user portrait based on subsequent data
The driver can predict how many days later the brake block needs to be replaced and converted into the date, and the reserved quantity is set to improve the reliability of prediction.
d is the number of days from the nth day to the later time when the brake pad needs to be replaced, and the days can be converted into dates. In some embodiments, the nth day is the current time period, and one time period is one day.
In some embodiments, in the event that it is determined that there is a braking risk based on the real-time brake pad wear thickness, an alert is issued, including:
obtaining the thickness of the brake pad in the current time period based on the braking times in the current time period, the brake pad loss thickness corresponding to each braking in the current time period and the brake pad thickness in the previous time period;
and under the condition that the difference value between the thickness of the brake pad in the current time period and the thickness of the brake pad in the previous time period is smaller than a critical value, determining that the brake risk exists, and giving an alarm.
It can be understood that whether there is a braking risk can be determined based on the following inequality:
s delta is the current brake pad loss thickness of the previous day, deltanThe thickness of the brake pad of the nth day, namely the thickness of the brake pad of the current time period, when deltanWhen the inequality is satisfied, the brake risk is indicated, the brake pad needs to be replaced in time, and an alarm is given.
In some embodiments, obtaining the wear impact coefficient of the brake pad based on historical braking data includes:
the loss impact coefficient is obtained based on the following formula:
where α is the loss influence coefficient, δnThickness of brake pad for the historical nth time period, delta0Thickness of brake pad, mu, for an initial period of time1TIs a historical brake pad coefficient of friction, F1iIs the ith brake pad pressure at the mth brake1iIs the ith instant vehicle speed in the historical mth braking, c is the historical braking times, k1 is the historical braking data acquisition times in the historical mth braking, tmThe contact time of the brake block of the mth brake is historical.
It will be appreciated that the brake pad contact time is the time between the brake pad and the brake disc.
And (4) performing machine learning through a large amount of historical data, and analyzing the loss coefficient. It should be noted that, since each brake pad is referred to herein, the value of α is affected regardless of the wear of the front and rear brake pads, or the type of brake pad, and the like, and the formula is not affected. The friction coefficient is the friction coefficient of the brake pad and the brake disc at different temperatures, a large amount of data corresponding to the friction coefficient relationship at different temperatures are collected through the friction measuring instrument, and a proper friction coefficient is selected according to the temperature uploaded by the equipment based on the comparison table in the platform.
In some embodiments, obtaining the real-time loss thickness of the brake pad based on the real-time braking data and the loss influence coefficient includes:
and obtaining the real-time loss thickness of the brake pad based on the following formula:
wherein delta is the real-time loss thickness mu of the brake pad2TFor real-time brake pad coefficient of friction, F2iI-th brake pad pressure, v, of real-time braking2iThe ith instant speed of the real-time brake, t the contact duration of the brake pad of the real-time brake, k2The number of times of obtaining brake data during real-time braking is determined.
In some embodiments, further comprising:
obtaining a plurality of brake pad temperatures and a plurality of brake pad friction coefficients corresponding to the plurality of brake pad temperatures;
obtaining a corresponding relation between the brake pad friction coefficient and the brake pad temperature based on the brake pad temperatures and the brake pad friction coefficients;
and obtaining the historical brake pad friction coefficient and the real-time brake pad friction coefficient based on the corresponding relation between the brake pad friction coefficient and the brake pad temperature, and the historical brake pad temperature and the real-time brake pad temperature.
In conclusion, the brake pad early warning provided by the invention obtains historical brake data, and obtains the loss influence coefficient of the brake pad based on the historical brake data; wherein, historical braking data includes historical: the brake number, the pressure of the brake pad, the contact duration of the brake pad, the instantaneous vehicle speed, the friction coefficient of the brake pad and the loss thickness of the brake pad; acquiring real-time brake data, and acquiring real-time loss thickness of the brake pad based on the real-time brake data and the loss influence coefficient; wherein, real-time brake data includes real-time: instantaneous vehicle speed, brake pad pressure and brake pad contact duration; and alarming under the condition that the brake risk is determined to exist based on the real-time loss thickness of the brake pad.
According to the invention, the loss influence coefficient of the brake pad is firstly obtained through historical brake data, then the loss influence coefficient of the brake pad is utilized to calculate the real-time loss thickness of the brake pad, whether brake risk exists is judged through the real-time loss thickness of the brake pad, and then effective warning of the vehicle brake pad is realized, so that the brake pad can be timely checked and replaced, and further traffic accidents caused by untimely braking due to factors of the vehicle are avoided.
The brake pad warning device provided by the invention is described below, and the brake pad warning device described below and the brake pad warning method described above can be referred to correspondingly.
As shown in fig. 5, the brake pad warning device 500 provided by the present invention includes: a first obtaining module 510, a second obtaining module 520, and an alarm module 530.
The first obtaining module 510 is configured to obtain historical braking data, and obtain a loss influence coefficient of a brake pad based on the historical braking data; wherein, historical braking data includes historical: the brake number, the pressure of the brake pad, the contact time of the brake pad, the instantaneous speed, the friction coefficient of the brake pad and the loss thickness of the brake pad.
The second obtaining module 520 is configured to obtain real-time braking data and obtain a real-time loss thickness of the brake pad based on the real-time braking data and the loss influence coefficient; wherein, real-time brake data includes real-time: instantaneous vehicle speed, brake pad pressure, and brake pad contact duration.
The warning module 530 is configured to warn when it is determined that there is a risk of braking based on the real-time brake pad loss thickness.
In some embodiments, the brake pad warning apparatus 500 further includes: the device comprises a first calculation module, a third acquisition module and a second calculation module.
The first calculation module is used for obtaining the brake pad loss rate based on the real-time brake pad loss thickness and the brake times of the historical target time period.
The third obtaining module is used for obtaining the braking times of the current time period, the real-time loss thickness of the brake pad corresponding to each braking in the current time period, the thickness of the brake pad in the previous time period and a critical value.
The second calculation module is used for obtaining the time for replacing the brake block after the current time period based on the braking times of the current time period, the brake block loss thickness corresponding to each braking in the current time period, the brake block thickness of the previous time period, the critical value and the brake block loss rate.
In some embodiments, the brake pad warning apparatus 500 further includes: the device comprises a third calculation module, a fourth acquisition module and a fourth calculation module.
And the third calculation module is used for obtaining the brake pad loss rate based on the real-time loss thickness of the brake pad and the brake times of the historical target time period.
The fourth obtaining module is used for obtaining the braking times of the current time period, the real-time loss thickness of the brake pad corresponding to each braking in the current time period, the thickness of the brake pad in the previous time period and the critical value.
The fourth calculation module is used for obtaining the time for replacing the brake pad after the current time period based on the braking times of the current time period, the brake pad loss thickness corresponding to each braking in the current time period, the brake pad thickness of the last time period, the critical value and the brake pad loss rate.
In some embodiments, the alert module 530 includes: a calculating unit and an alarm unit.
The calculating unit is used for obtaining the thickness of the brake pad in the current time period based on the braking times in the current time period, the brake pad loss thickness corresponding to each braking in the current time period and the thickness of the brake pad in the previous time period.
The warning unit is used for determining that the braking risk exists and giving a warning when the difference value between the thickness of the brake pad in the current time period and the thickness of the brake pad in the previous time period is smaller than a critical value.
In some embodiments, the first obtaining module 510 further obtains the loss impact coefficient based on the following formula:
where α is the loss influence coefficient, δnThickness of brake pad for the historical nth time period, delta0Thickness of brake pad, mu, for an initial period of time1TIs a historical brake pad coefficient of friction, F1iIs the ith brake pad pressure at the mth brake1iIs the ith instant vehicle speed in the historical mth braking, c is the historical braking times, k1 is the historical braking data acquisition times in the historical mth braking, tmThe contact time of the brake block of the mth brake is historical.
In some embodiments, the second obtaining module 520 is further configured to obtain the real-time brake pad loss thickness based on the following formula:
wherein delta is the real-time loss thickness mu of the brake pad2TFor real-time brake pad coefficient of friction, F2iI-th brake pad pressure, v, of real-time braking2iThe ith instant speed of the real-time brake, t the contact duration of the brake pad of the real-time brake, k2The number of times of obtaining brake data during real-time braking is determined.
In some embodiments, the brake pad warning apparatus 500 further includes: the device comprises a fifth acquisition module, a fifth calculation module and a sixth calculation module.
The fifth obtaining module is used for obtaining a plurality of brake pad temperatures and a plurality of brake pad friction coefficients corresponding to the brake pad temperatures.
The fifth calculation module is used for obtaining the corresponding relation between the friction coefficient of the brake pad and the temperature of the brake pad based on the temperatures of the brake pads and the friction coefficient of the brake pads.
The sixth calculation module is used for obtaining the historical brake pad friction coefficient and the real-time brake pad friction coefficient based on the corresponding relation between the brake pad friction coefficient and the brake pad temperature, and the historical brake pad temperature and the real-time brake pad temperature.
The electronic device and the storage medium provided by the present invention are described below, and the electronic device and the storage medium described below and the brake pad warning method described above may be referred to in correspondence.
Fig. 6 illustrates a physical structure diagram of an electronic device, which may include, as shown in fig. 6: a processor (processor)610, a communication Interface (Communications Interface)620, a memory (memory)630 and a communication bus 640, wherein the processor 610, the communication Interface 620 and the memory 630 communicate with each other via the communication bus 640. The processor 610 may invoke logic instructions in the memory 630 to perform a brake pad warning method, the method comprising:
and step 130, giving an alarm under the condition that the brake risk is determined to exist based on the real-time loss thickness of the brake pad.
In addition, the logic instructions in the memory 630 may be implemented in software functional units and stored in a computer readable storage medium when the logic instructions are sold or used as independent products. Based on such understanding, the technical solution of the present invention may be embodied in the form of a software product, which is stored in a storage medium and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and other various media capable of storing program codes.
In another aspect, the present invention also provides a computer program product, the computer program product including a computer program stored on a non-transitory computer readable storage medium, the computer program including program instructions, when the program instructions are executed by a computer, the computer being capable of executing the brake pad warning method provided by the above methods, the method including:
and step 130, giving an alarm under the condition that the brake risk is determined to exist based on the real-time loss thickness of the brake pad.
In still another aspect, the present invention also provides a non-transitory computer readable storage medium having a computer program stored thereon, the computer program being implemented by a processor to perform the brake pad warning method provided in the above aspects, the method including:
and step 130, giving an alarm under the condition that the brake risk is determined to exist based on the real-time loss thickness of the brake pad.
The above-described embodiments of the apparatus are merely illustrative, and the 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 modules may be selected according to actual needs to achieve the purpose of the solution of the present embodiment. One of ordinary skill in the art can understand and implement it without inventive effort.
Through the above description of the embodiments, those skilled in the art will clearly understand that each embodiment can be implemented by software plus a necessary general hardware platform, and certainly can also be implemented by hardware. With this understanding in mind, the above-described technical solutions may be embodied in the form of a software product, which can be stored in a computer-readable storage medium such as ROM/RAM, magnetic disk, optical disk, etc., and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to execute the methods described in the embodiments or some parts of the embodiments.
Finally, it should be noted that: the above examples are only intended to illustrate the technical solution of the present invention, but not to limit it; although the present invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; and such modifications or substitutions do not depart from the spirit and scope of the corresponding technical solutions of the embodiments of the present invention.
Claims (10)
1. A brake pad early warning method is characterized by comprising the following steps:
obtaining historical brake data, and obtaining a loss influence coefficient of a brake pad based on the historical brake data; wherein the historical braking data comprises historical: the brake number, the pressure of the brake pad, the contact duration of the brake pad, the instantaneous vehicle speed, the friction coefficient of the brake pad and the loss thickness of the brake pad;
obtaining real-time brake data, and obtaining the real-time loss thickness of the brake pad based on the real-time brake data and the loss influence coefficient; wherein the real-time braking data comprises real-time: instantaneous vehicle speed, brake pad pressure and brake pad contact duration;
and alarming under the condition that the brake risk is determined to exist based on the real-time loss thickness of the brake pad.
2. The brake pad warning method of claim 1, further comprising:
obtaining the brake pad loss rate based on the real-time loss thickness of the brake pad and the brake times of the historical target time period;
obtaining the braking times of the current time period, the real-time loss thickness of a brake pad corresponding to each braking in the current time period, the thickness of the brake pad in the previous time period and a critical value;
based on the number of times of braking of current time quantum the brake block that each time brake corresponds in the current time quantum decreases thickness the brake block thickness of last time quantum the critical value reaches brake block loss rate obtains behind the current time quantum, the time that needs to change the brake block.
3. The brake pad early warning method according to claim 2, wherein the alarming when it is determined that there is a braking risk based on the real-time brake pad loss thickness comprises:
obtaining the thickness of the brake pad in the current time period based on the braking times in the current time period, the brake pad loss thickness corresponding to each braking in the current time period and the thickness of the brake pad in the previous time period;
and under the condition that the difference value between the thickness of the brake pad in the current time period and the thickness of the brake pad in the previous time period is smaller than the critical value, determining that the brake risk exists, and giving an alarm.
4. The brake pad early warning method according to any one of claims 1 to 3, wherein the obtaining of the loss influence coefficient of the brake pad based on the historical brake data comprises:
obtaining the loss influence coefficient based on the following formula:
wherein α is the loss influence coefficient, δnThickness of brake pad for the historical nth time period, delta0Thickness of brake pad, mu, for an initial period of time1TIs a historical brake pad coefficient of friction, F1iIs the ith brake pad pressure at the mth brake1iIs the ith instant vehicle speed in the historical mth braking, c is the historical braking times, k1 is the historical braking data acquisition times in the historical mth braking, tmThe contact time of the brake block of the mth brake is historical.
5. The brake pad early warning method of claim 4, wherein obtaining the real-time brake pad loss thickness based on the real-time brake data and the loss impact coefficient comprises:
and obtaining the real-time loss thickness of the brake pad based on the following formula:
wherein delta is the real-time loss thickness mu of the brake pad2TFor real-time brake pad coefficient of friction, F2iI-th brake pad pressure, v, of real-time braking2iThe ith instant speed of the real-time brake, t the contact duration of the brake pad of the real-time brake, k2The number of times of obtaining brake data during real-time braking is determined.
6. The brake pad warning method of claim 5, further comprising:
obtaining a plurality of brake pad temperatures and a plurality of brake pad friction coefficients corresponding to the plurality of brake pad temperatures;
obtaining a corresponding relation between the brake pad friction coefficient and the brake pad temperature based on the brake pad temperatures and the brake pad friction coefficients;
and obtaining the historical brake pad friction coefficient and the real-time brake pad friction coefficient based on the corresponding relation between the brake pad friction coefficient and the brake pad temperature, and the historical brake pad temperature and the real-time brake pad temperature.
7. A brake pad early warning device, its characterized in that includes:
the brake control system comprises a first acquisition module, a second acquisition module and a control module, wherein the first acquisition module is used for acquiring historical brake data and obtaining a loss influence coefficient of a brake pad based on the historical brake data; wherein the historical braking data comprises historical: the brake number, the pressure of the brake pad, the contact duration of the brake pad, the instantaneous vehicle speed, the friction coefficient of the brake pad and the loss thickness of the brake pad;
the second acquisition module is used for acquiring real-time brake data and acquiring the real-time loss thickness of the brake pad based on the real-time brake data and the loss influence coefficient; wherein the real-time braking data comprises real-time: instantaneous vehicle speed, brake pad pressure and brake pad contact duration;
and the warning module is used for warning under the condition that the brake risk is determined to exist based on the real-time loss thickness of the brake pad.
8. An electronic device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the processor implements the steps of the brake pad warning method according to any one of claims 1 to 6 when executing the program.
9. A non-transitory computer readable storage medium having a computer program stored thereon, wherein the computer program when executed by a processor implements the steps of the brake pad warning method according to any one of claims 1 to 6.
10. A computer program product comprising a computer program, wherein the computer program when executed by a processor implements the steps of a brake lining warning method according to any one of claims 1 to 6.
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