CN112943831B - Method and device for reminding replacement of brake pad based on Internet of vehicles big data - Google Patents
Method and device for reminding replacement of brake pad based on Internet of vehicles big data Download PDFInfo
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- CN112943831B CN112943831B CN201911264783.3A CN201911264783A CN112943831B CN 112943831 B CN112943831 B CN 112943831B CN 201911264783 A CN201911264783 A CN 201911264783A CN 112943831 B CN112943831 B CN 112943831B
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F16—ENGINEERING ELEMENTS AND UNITS; GENERAL MEASURES FOR PRODUCING AND MAINTAINING EFFECTIVE FUNCTIONING OF MACHINES OR INSTALLATIONS; THERMAL INSULATION IN GENERAL
- F16D—COUPLINGS FOR TRANSMITTING ROTATION; CLUTCHES; BRAKES
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- F16D66/02—Apparatus for indicating wear
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Abstract
The invention provides a method for reminding replacement of a brake pad based on Internet of vehicles big data, which comprises the following steps: monitoring data information in the vehicle braking process through a vehicle monitoring system, obtaining braking information and uploading the braking information to a vehicle networking big data platform; the method comprises the steps that a vehicle networking big data platform obtains the current abrasion loss and the historical abrasion loss of a vehicle brake pad; the car networking big data platform calculates the accumulated abrasion loss of the brake pad and compares the accumulated abrasion loss with the replacement condition; when the replacement condition is met, the Internet of vehicles big data platform sends a reminding message of replacing the brake pad to the vehicle monitoring system; the invention also provides a device; according to the invention, the information such as pedal position, vehicle speed and the like is simply processed through the internet of vehicles big data platform, so that the brake pad abrasion condition is quantized, and a vehicle owner can be reminded to pay attention to the brake pad performance and timely replace the brake pad, thereby avoiding traffic accidents caused by low brake performance of the brake pad, eliminating potential safety risks and ensuring the driving safety.
Description
Technical Field
The invention relates to the technical field of automobiles, in particular to a method and a device for reminding replacement of a brake pad based on Internet of vehicles big data.
Background
With the continuous development of the automobile industry and the increasing of the vehicle holding capacity, more and more automobiles enter thousands of households, and meanwhile, the safety of the automobiles is also concerned widely. Research shows that when an emergency happens, an effective braking system is an important guarantee for avoiding traffic accidents. The effectiveness of the braking system is mainly dependent on the braking energy generated by the effective friction between the brake pads and the brake disc of the automobile. In an automobile, a brake pad is a wearing part, and the wearing condition of the brake pad needs to be checked regularly to judge whether the brake pad needs to be replaced. If the brake pad is worn seriously and a driver cannot find and replace the brake pad in time, potential safety hazards such as brake failure and the like can be brought.
In the prior art, the judgment and replacement reminding of the abrasion loss of the brake pad are mainly divided into two types: one is to put in a probe or a sensor in the brake block, and to conduct a circuit when the brake block is worn to the limit, thereby reminding a driver; and the other method is to actively measure the abrasion loss of the brake pad through a sensor and judge whether the brake pad needs to be replaced or not by comparing the measurement result with a set threshold value. Both of these approaches have some drawbacks: the first method is a passive reminding method, cannot remind a driver of the current abrasion condition of a brake pad in time, cannot play a role in prevention, and still has potential safety risks; the second method generally requires an optical measuring sensor and a microprocessor, and particularly, the optical measuring sensor is expensive and harsh in use environment, and cannot be popularized.
Aiming at the defects in the prior art, the application aims to provide a method and a device for reminding a driver to replace a brake pad based on Internet of vehicles big data.
Disclosure of Invention
In view of the above problems in the prior art, an object of the present invention is to provide a method and an apparatus for reminding replacement of a brake pad based on big data in the internet of vehicles.
In order to solve the problems, the invention provides a method for reminding the replacement of a brake pad based on Internet of vehicles big data, which comprises the following steps:
monitoring data information of a vehicle in a braking process through a vehicle monitoring system to obtain braking information, and uploading the vehicle information and the braking information to a vehicle networking big data platform;
the Internet of vehicles big data platform processes the brake information to obtain the current abrasion loss of the vehicle brake pad, and searches the historical abrasion loss of the vehicle brake pad according to the vehicle information;
the Internet of vehicles big data platform calculates the accumulated abrasion loss of the vehicle brake pad according to the current abrasion loss and the historical abrasion loss;
the Internet of vehicles big data platform compares the accumulated abrasion loss with a preset replacement condition;
when the replacement condition is met, the Internet of vehicles big data platform sends the reminding information of replacing the brake block to the vehicle monitoring system.
Further, the internet of vehicles big data platform processes the brake information, obtains the current wear amount of the vehicle brake pad, and searches the historical wear amount of the vehicle brake pad according to the vehicle information, including:
the brake information at least comprises change information of vehicle speed in the brake process and change information of the position of a brake pedal in the brake process, and the car networking big data platform calculates the abrasion loss of a car brake pad corresponding to each preset depth interval of the brake pedal according to the brake information;
and the car networking big data platform obtains the current abrasion loss of the car brake pad according to the abrasion loss of the car brake pad corresponding to each preset depth interval of the brake pedal.
Specifically, the car networking big data platform according to the brake information, calculate each preset depth interval of brake pedal corresponds the wearing and tearing volume of vehicle brake block includes:
the Internet of vehicles big data platform acquires the wear coefficients corresponding to the depth intervals respectively;
the Internet of vehicles big data platform calculates the friction displacement of the vehicle brake pad corresponding to each depth interval according to the brake information;
and the car networking big data platform calculates the abrasion loss of the car brake pad corresponding to each preset depth interval of the brake pedal according to the abrasion coefficient and the friction displacement.
Specifically, the car networking big data platform obtains each wear coefficient that the depth interval corresponds respectively, includes:
the Internet of vehicles big data platform calculates the current friction displacement of the vehicle brake pad according to the brake information;
the Internet of vehicles big data platform searches the historical friction displacement of the vehicle brake pad according to the vehicle information;
the Internet of vehicles big data platform calculates the accumulated friction displacement of the vehicle brake pad according to the current friction displacement and the historical friction displacement;
and the car networking big data platform calculates the wear coefficient according to the accumulated friction displacement and the preset residual service life of the car brake pad corresponding to the accumulated friction displacement.
Specifically, the car networking big data platform according to the brake information, calculate each the depth interval corresponds the friction displacement of vehicle brake block includes:
the Internet of vehicles big data platform calculates the moving distance of the vehicle corresponding to each depth interval according to the brake information;
and the car networking big data platform calculates the friction displacement of the car brake block corresponding to the moving distance according to the moving distance.
Further, the car networking big data platform calculates the friction displacement of the car brake block corresponding to the movement distance according to the movement distance, and includes:
the Internet of vehicles big data platform obtains the change information of the vehicle speed corresponding to each depth interval along with the time according to the brake information;
and the Internet of vehicles big data platform calculates the moving distance of the vehicle corresponding to each depth interval according to the change information of the vehicle speed corresponding to each depth interval along with time.
Preferably, after the vehicle networking big data platform calculates the accumulated wear amount of the vehicle brake pad according to the current wear amount and the historical wear amount, the vehicle networking big data platform further comprises:
and replacing the historical wear loss with the accumulated wear loss and storing the historical wear loss in the Internet of vehicles big data platform.
Preferably, before the internet of vehicles big data platform compares the accumulated wear amount with a preset replacement condition, the internet of vehicles big data platform further comprises:
the Internet of vehicles big data platform compares the accumulated abrasion loss with a preset early warning condition;
and when the early warning condition is met, the Internet of vehicles big data platform sends early warning information to the vehicle monitoring system.
Another aspect of the present invention also provides an electronic device, including:
one or more processors;
a memory; and
one or more programs stored in the memory and executed by the one or more processors, the programs comprising instructions for performing the method of the above-described technical solution for reminding replacement of brake pads based on internet of vehicles big data.
The invention also protects a computer readable storage medium, wherein at least one instruction, at least one program, a code set or an instruction set is stored in the storage medium, and the at least one instruction, the at least one program, the code set or the instruction set is loaded and executed by a processor to realize the method for reminding the replacement of the brake pad based on the internet of vehicles big data provided by the technical scheme.
Due to the technical scheme, the invention has the following beneficial effects:
1) the method for reminding the replacement of the brake pad based on the internet of vehicles big data can utilize the internet of vehicles big data platform to process and analyze the friction force and the friction displacement in important factors influencing the abrasion loss of the brake pad, particularly quantize the abrasion loss of the brake pad through the change information of the position of the brake pedal along with the time and the change information of the vehicle speed along with the time during the execution period of the braking action, does not need to use external equipment parts, and is low in cost.
2) According to the brake pad wear monitoring system, the information such as the change information of the pedal position along with the time during the execution of the brake action, the change information of the vehicle speed along with the time and the like is simply processed, so that the brake pad wear condition is quantized, a vehicle owner can be reminded to pay attention to the brake pad performance and timely replace the brake pad, traffic accidents caused by low brake performance of the brake pad are avoided, potential safety risks are eliminated, and the driving safety is ensured.
3) The method can accurately calculate the abrasion condition of the brake pad, so that the replacement time of the brake pad can be accurately obtained, the situations of low utilization rate and resource waste of the brake pad caused by replacement of the brake pad when the brake pad does not reach the service life threshold value of the brake pad are avoided, the resource utilization rate is favorably improved, and the vehicle maintenance cost is reduced.
4) According to the method for reminding the replacement of the brake pad based on the Internet of vehicles big data, the current abrasion loss corresponding to each braking action can be calculated through the Internet of vehicles big data platform, the historical abrasion loss is obtained through superposition with the historical data, so that the accumulated abrasion loss and the residual abrasion loss are calculated, the obtained accumulated abrasion loss is stored as the new historical abrasion loss, the calculation resources can be saved, and meanwhile, the data storage space is saved.
5) The brake pad wear information obtained by the invention can be transmitted to a vehicle networking big data platform, so that the brake pad wear information analysis method is suitable for brake pad life analysis of vehicles of the same type, and has immeasurable significance for supplementing brake pad life data.
Drawings
In order to more clearly illustrate the technical solution of the present invention, the drawings used in the description of the embodiment or the prior art will be briefly described below. It is obvious that the drawings in the following description are only some embodiments of the invention, and that for a person skilled in the art, other drawings can be derived from them without inventive effort.
FIG. 1 is a flowchart of a method for reminding replacement of a brake pad based on Internet of vehicles big data according to an embodiment of the present invention;
fig. 2 is a schematic structural diagram of an electronic device according to an embodiment of the present invention.
In the figure: 10-electronic device, 20-processor, 30-memory, 31-program.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be obtained by a person skilled in the art without any inventive step based on the embodiments of the present invention, are within the scope of the present invention.
It should be noted that the terms "first," "second," and the like in the description and claims of the present invention and in the drawings described above are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used is interchangeable under appropriate circumstances such that the embodiments of the invention described herein are capable of operation in sequences other than those illustrated or described herein. Furthermore, the terms "include" and "have," as well as any variations thereof, are intended to cover a non-exclusive inclusion.
The terms "comprises" and "comprising," and any variations thereof, in the description and claims of this invention and the above-described drawings, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or server that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed, but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
Example 1
Referring to fig. 1, which is a schematic flow chart illustrating a method for reminding a user to replace a brake pad based on internet of vehicles big data according to an embodiment of the present invention, it should be noted that the present specification provides the method operation steps as described in the embodiment or the flowchart, but more or less operation steps may be included based on conventional or non-inventive labor. The sequence of the operation steps described in the embodiment or the flowchart is only one of the execution sequences of the steps, and does not represent the only execution sequence, and the steps can be executed according to the method sequence shown in the embodiment or the drawings when the actual vehicle runs. Specifically, as shown in fig. 1, the method includes:
s100: the data information of the vehicle in the braking process is monitored through the vehicle monitoring system, the braking information is obtained, and the vehicle information and the braking information are uploaded to a vehicle networking big data platform.
The braking information is information in the execution period of the braking action, and includes information about the change of the vehicle speed with time and information about the change of the position of the brake pedal with time during the execution period of the braking action; the vehicle information comprises vehicle type information of the vehicle, and relevant data of a brake pad corresponding to the vehicle of the vehicle type, such as the initial service life of the brake pad of the vehicle, can be found through the vehicle type information.
In the embodiment of the present specification, the braking operation execution period refers to: when the driver steps on the brake pedal to change the position of the brake pedal, the foot of the driver releases the brake pedal completely to restore the initial state of the brake pedal.
S200: and the Internet of vehicles big data platform processes the brake information, obtains the current abrasion loss of the vehicle brake pad, and searches the historical abrasion loss of the vehicle brake pad according to the vehicle information.
In this specification, the current wear amount refers to a wear amount of a single brake pad corresponding to a current braking action. Recording the abrasion loss of the vehicle brake pad corresponding to the ith braking action as the current abrasion loss diAnd i is an integer greater than 1. The historical wear loss is the cumulative wear loss of the vehicle brake pad generated by the previous i-1 braking actions, and the historical wear loss is recorded as Di-1。
S300: and the Internet of vehicles big data platform calculates the accumulated abrasion loss of the vehicle brake pad based on the current abrasion loss and the historical abrasion loss. Recording the accumulated wear amount as DiThen D isi＝Di-1+di。
S600: the Internet of vehicles big data platform compares the accumulated abrasion loss with a preset replacement condition;
s610: the Internet of vehicles big data platform searches the initial abrasion loss of the vehicle brake pad according to the accumulated abrasion loss and the vehicle information, and calculates and obtains the residual abrasion loss of the vehicle brake pad;
need to make sure thatIt is noted that the initial wear amount is related to the model of the vehicle, and the initial wear amount may be different for vehicles of different models. The initial wear loss is the initial service life of the brand new brake pad, and can be recorded as D0If the residual wear amount is D, D ═ DO-Di。
S620: the Internet of vehicles big data platform compares the residual abrasion loss with the preset replacement threshold value;
s630: when the remaining wear amount is less than or equal to the replacement threshold, a replacement condition is satisfied.
In the embodiment of the present specification, the replacement threshold is set to D ═ 0, that is, when D ═ D is set to DO-DiAnd when the residual abrasion loss is less than or equal to 0 and the replacement threshold value, the replacement condition is met.
S700: when the replacement condition is met, the Internet of vehicles big data platform sends the reminding information of replacing the brake block to the vehicle monitoring system.
It should be noted that, in addition to the setting manner of the replacement threshold adopted in the embodiment of the present specification, the replacement threshold may also be set in other manners, for example: setting the replacement threshold to D-0.01DOAnd the like, when the residual abrasion amount is judged to be equal to or less than 0.01DOAnd in time, the reminding information for replacing the brake pad is generated, so that the situation that the brake performance of the brake pad reaches the maximum limit can be prevented.
The wear of the brake pad is mainly affected by three factors, namely friction force (also called braking force), friction displacement and friction area. The friction area is the friction area between the brake pad and the brake disc, so that the friction area of the brake pad is relatively fixed for a fixed vehicle type; therefore, in the embodiment of the specification, two influencing factors, namely friction force and friction displacement, need to be considered in addition to the fact that the friction area of the vehicle brake pad can be obtained by obtaining vehicle information through the internet of vehicles big data platform.
The magnitude of the friction force can be measured by the depth of treading the brake pedal, and the friction forces corresponding to different treading depths are different, specifically, when the depth of treading the brake pedal is deeper, the friction force of the brake pad acting on the brake disc is larger, and the abrasion loss of the brake pad is also larger; when the depth of stepping on the brake pedal is shallow, the friction force of the brake pad acting on the brake disc is small, and the abrasion loss of the brake pad is small at the moment.
Therefore, in the embodiment of the present specification, the step S200: the internet of vehicles big data platform processes the brake information, obtains the current wearing capacity of the vehicle brake block, and searches the historical wearing capacity of the vehicle brake block according to the vehicle information, and the method comprises the following steps:
s210: the Internet of vehicles big data platform calculates the abrasion loss of the vehicle brake pad corresponding to each preset depth section of the brake pedal according to the brake information;
in the embodiment of the specification, in order to realize the accuracy of data acquisition and analysis calculation, the internet of vehicles big data platform divides the stepping stroke of the brake pedal into 10 depth intervals in advance, and the stepping stroke of the brake pedal refers to the stroke of the brake pedal from the initial position to the deepest stepping depth. Of course, the treading stroke may be provided with a plurality of depth sections of other numbers, and the wear amount of the vehicle brake pad corresponding to each preset depth section obtained through calculation may be respectively recorded as d1、d2、d3……d9And d10Abbreviated as dkK is an integer of 1 to 10;
s220: and the car networking big data platform obtains the current abrasion loss of the car brake pad according to the abrasion loss of the car brake pad corresponding to each preset depth interval of the brake pedal.
I.e. di＝d1+d2+......+d9+d10I.e. by
In the embodiment of the present specification, step S210: the car networking big data platform calculates the abrasion loss of the car brake block corresponding to each preset depth interval of the brake pedal according to the brake information, and the following method can be adopted, and comprises the following steps:
s211: the Internet of vehicles big data platform acquires the wear coefficients corresponding to the depth intervals respectively;
because when the brake pedal is located different depth intervals, the frictional force that the vehicle brake block corresponds and receives is different, promptly each depth interval corresponds respectively the wear coefficient of vehicle brake block is out of phase. The wear coefficient is the wear coefficient of the vehicle brake pad in unit friction, and the wear coefficients corresponding to the 10 depth intervals are recorded as follows: mu.s1、μ2、μ3……μ9And mu10Abbreviated as mukAnd k is an integer of 1 to 10.
S212: the Internet of vehicles big data platform calculates the friction displacement of the vehicle brake pad corresponding to each depth section according to the brake information;
the friction displacements of the brake pad corresponding to the 10 depth intervals are respectively: s1、S2、S3……S9And S10Abbreviated as SkAnd k is an integer of 1 to 10.
S213: the car networking big data platform calculates the abrasion loss of the car brake pad corresponding to each preset depth section of the brake pedal according to the abrasion coefficient and the friction displacement;
i.e. dk＝Sk·μk。
It should be noted that: in the method for reminding replacement of the brake pad based on the big data of the internet of vehicles, provided by the embodiment of the specification, in step S211, the acquisition of the wear coefficient is divided into two stages;
the first stage is as follows: in the data to be perfected stage, the wear coefficient is obtained in the following mode:
s2111: the Internet of vehicles big data platform calculates the current friction displacement of the vehicle brake pad according to the brake information; for example: the Internet of vehicles big data platform can obtain the distance of the vehicle during the whole braking action execution period according to the time spent during the braking action execution period and the change information of the vehicle speed along with the time. Since the braking action of the brake pads is achieved by friction with the brake disc, the frictional displacement of the brake pads is proportional to the distance traveled by the vehicle during the execution of the braking action. That is, a single frictional displacement of the brake pad, that is, a current frictional displacement of the brake pad, can be obtained by a travel distance of the vehicle during the execution of the braking action.
S2112: the Internet of vehicles big data platform searches the historical friction displacement of the vehicle brake pad according to the vehicle information;
s2113: the Internet of vehicles big data platform calculates the accumulated friction displacement of the vehicle brake pad according to the current friction displacement and the historical friction displacement;
s2114: and the car networking big data platform calculates the wear coefficient according to the accumulated friction displacement and the preset residual service life of the car brake pad corresponding to the accumulated friction displacement.
For example: presetting the initial abrasion loss (initial service life) of the vehicle brake pad as that the friction displacement of the brake pad reaches 3 kilometres (the value of the 3 kilometres friction displacement is to ensure that the brake pad has safe braking performance, and can be used as a reference, and other numerical values can also be set); when the accumulated friction displacement of the vehicle brake pad of the same vehicle type reaches 5000 kilometers, the residual abrasion loss of the brake pad is recorded as D-5/6D0. According to the accumulated friction displacement and the residual abrasion loss information corresponding to the accumulated friction displacement, the accumulated brake pad friction displacement of the vehicle brake pad corresponding to each depth section in the use stage is calculated, and the abrasion coefficient mu corresponding to each depth section can be obtained preliminarilyk(ii) a By said wear coefficient mu for each vehicle of the same typekAnd performing comparative analysis to preliminarily obtain the wear coefficient of the brake pad of the vehicle in each depth interval.
Thereafter, every driving cycle, for example: when the accumulated friction displacement reaches 1 kilometre, the abrasion coefficient mu is calculated again for the vehicles of the same typekCalculation of mukAnd (6) adjusting. Or, vehicles of the same type can be collected at intervalsThe wear coefficient mu is calculatedkIs calculated to realize the p mukAnd adjusting to improve the accuracy of the wear coefficient.
At this stage, the number of sample data is small, so that the abrasion coefficient mu is reducedkThe acquisition error of (2) is large.
And a second stage: the data has completed a phase to pass through a number of adjustments of the wear coefficient, which has been of high accuracy. At this stage, the abrasion coefficients of the brake pads of vehicles of the same type with the large database platform of the Internet of vehicles can be compared, and the abrasion coefficient of the vehicle in calculating the abrasion loss of the brake pads is adjusted so as to be applied to calculation of the abrasion loss of the brake pads.
It should be noted that, for the brake pads installed on the same vehicle, the braking force distributed to the brake pads at the front wheels and the brake pads at the rear wheels by the braking system is different (i.e. the wear coefficients μ of the same vehicle corresponding to the brake pads at the front wheels and the brake pads at the rear wheels are different for each of the brake pads at the front wheels and the brake pads at the rear wheels)kDifferent), therefore, the same model of vehicle should have two sets of values of the accumulated wear amount and two sets of values of the remaining wear amount, and the accumulated wear amount and the remaining wear amount (remaining life) for the front wheel brake pads and the rear wheel brake pads should be calculated separately.
In the embodiment of the present specification, step S212: the car networking big data platform according to the brake information, calculate each the degree of depth interval corresponds the friction displacement of vehicle brake block specifically can include:
s2121: the Internet of vehicles big data platform calculates the moving distance of the vehicle corresponding to each depth interval according to the brake information;
note that the moving distance of the vehicle corresponding to the 10 depth sections is XkK is an integer of 1 to 10;
in addition, during one braking action, one or more steps may be performed within the same depth interval, or zero steps may be performed, and for a plurality of steps, the vehicle displacement corresponding to each step should be accumulated to obtain the moving distance of the vehicle corresponding to the depth interval.
S2122: the car networking big data platform calculates friction displacement of the car brake pad corresponding to the moving distance according to the moving distance;
it has been mentioned above that since the braking action of the brake pads is achieved by means of friction with the brake disc, the frictional displacement of the brake pads is proportional to the distance traveled by the vehicle during the execution of the braking action. Corresponding to the same vehicle type, a proportionality coefficient between the friction displacement of the vehicle brake pad and the running distance of the vehicle during the execution of the braking action is determined and unique, the proportionality coefficient is the ratio of the distance from the center of mass of the brake pad to the center of the wheel hub to the outer diameter of the tire, the ratio is also the ratio of the rotating radius of the brake disc to the rotating radius of the tire, and the proportionality coefficient is recorded as alpha;
recording the moving distance X of the vehiclekAnd recording the friction displacement of the vehicle brake pad corresponding to each depth section as SkThen S isk＝α·Xk。
Further, step S2121: the big data platform of car networking according to the migration distance, calculate and obtain with the corresponding friction displacement of vehicle brake block of migration distance includes:
s21211: the Internet of vehicles big data platform obtains the change information of the vehicle speed corresponding to each depth interval along with the time according to the brake information;
according to the brake information, specifically, according to the change information of the vehicle speed along with time and the change information of the brake pedal position along with time during the execution period of the brake action, forming a mapping of the brake pedal position and the vehicle speed and time, and according to the mapping of the brake pedal position and the vehicle speed and time, obtaining the change information of the vehicle speed along with time corresponding to each depth interval;
s21212: and the Internet of vehicles big data platform calculates the moving distance of the vehicle corresponding to each depth interval according to the change information of the vehicle speed corresponding to each depth interval along with time.
Namely Xk＝∫vdt。
Finally, the residual abrasion loss of the vehicle brake pad is as follows:
in an embodiment of the specification, a method for reminding replacement of a brake pad based on internet of vehicles big data includes, in step S300: after the big data platform of car networking calculates the accumulative total wearing capacity of vehicle brake block according to the current wearing capacity and the historical wearing capacity, still include:
s400: and replacing the historical wear loss with the accumulated wear loss and storing the historical wear loss in the Internet of vehicles big data platform. After one-time brake execution action is finished, the obtained accumulated abrasion loss is stored in a big data platform of the Internet of vehicles as a new historical abrasion loss, so that updated data information is obtained when the historical abrasion loss data is called next time.
Therefore, when a braking execution action is generated to calculate the residual abrasion loss after the braking action is completed, only the current abrasion loss corresponding to the braking action and the historical abrasion loss are needed to be superposed and calculated, and after each braking action is generated, the friction displacement generated by the braking action and each historical braking action is not needed to be accumulated to calculate the total abrasion loss, so that the calculation resource is saved, and meanwhile, the data storage space is saved.
Further, in the embodiment of the present specification, in step S600: before the car networking big data platform compares the accumulative wear loss with the preset replacement condition, still include:
s500: the Internet of vehicles big data platform compares the accumulated abrasion loss with a preset early warning condition;
s501: the Internet of vehicles big data platform searches the initial abrasion loss of the vehicle brake pad according to the accumulated abrasion loss and the vehicle information, and calculates and obtains the residual abrasion loss of the vehicle brake pad;
s502: the Internet of vehicles big data platform compares the residual abrasion loss with the preset early warning condition;
s503: when the residual abrasion loss is less than or equal to the early warning condition, a replacement condition is met;
in the embodiment of the present specification, the preset reminding threshold is 0.2D0At this time, besides the setting mode of the reminding threshold adopted in the embodiment of the present specification, other setting modes may be available.
S510: and when the early warning condition is met, the Internet of vehicles big data platform sends early warning information to the vehicle monitoring system.
I.e. when D is 0.2D0And when the residual abrasion loss of the vehicle brake pad is 20% of the initial abrasion loss (initial service life), generating early warning information for reminding a driver of paying attention to the performance of the brake pad, and enabling a vehicle owner to autonomously select whether to replace the brake pad.
It should be noted that, in the embodiment of the present specification, specific ways of communicating the warning information and the brake pad replacement reminding information to the driver are not limited, the warning information and the reminding information may be transmitted to the driver through a vehicle-mounted display screen, a vehicle-mounted voice broadcast, or a vehicle-mounted networking big data platform, or a related short message may be sent to a driver 'S mobile phone or a related email may be sent to a driver' S mailbox, or in addition, related information may be sent to a 4S shop of an automobile, and the like, which are not described herein in detail.
In an embodiment of this specification, a method for reminding of replacement of a brake pad based on internet of vehicles big data further includes:
and after the brake pad is replaced, resetting the residual abrasion loss of the vehicle brake pad to the initial abrasion loss.
The embodiment of the specification provides a method for reminding replacement of a brake pad based on internet of vehicles big data, which comprises the following steps of: important factors in the friction area, the friction force and the friction displacement are analyzed, so that the real-time quantification of the abrasion condition of the brake pad is realized, a vehicle owner can be reminded to pay attention to the performance of the brake pad, and unnecessary accidents caused by low brake performance are avoided;
meanwhile, the abrasion information of the brake pad can be accurately acquired, the replacement time of the brake pad can be accurately predicted, the brake disc is prevented from being replaced when the brake pad does not reach the service life threshold value, the low utilization rate and the resource waste of the brake pad are avoided, and the vehicle maintenance cost is favorably reduced;
in addition, the pedal treading depth information, the change information of the vehicle speed along with time and the like are only needed to be collected, the data are simply processed through a vehicle networking system and a big data platform, the accumulated abrasion loss of the brake pad in different pedal depth intervals in a brand-new service cycle to replacement can be calculated, external equipment parts and manpower and material resources are not needed, the cost is low, the data information obtained through calculation can be suitable for service life analysis of the brake pad of the vehicle of the same vehicle type, and the important significance is achieved for supplementing the service life data of the brake pad.
Example 2
As the brake pad performs during different phases of its life cycle, for example: the sensitivity of the brake pad has certain difference, and particularly, when the brake pad is in the early stage of the service cycle of the brake pad, the brake sensitivity of the brake pad is higher; and the sensitivity of the brake pad may be poor at the end of its life cycle.
Therefore, the embodiment of the present specification provides a method for reminding replacement of a brake pad based on internet of vehicles big data, which is different from embodiment 1 in that: in the present embodiment, the first and second electrodes are,
step S200: the Internet of vehicles big data platform processes the brake information to obtain the current abrasion loss d of the vehicle brake padiAnd then, the method further comprises the following steps:
setting a weighting coefficient for the current abrasion loss of the vehicle brake pad corresponding to each braking action, and recording the weighting coefficient as betai；
The new current wear amount is then obtained as di’＝diβi；
Accordingly, the new cumulative wear amount is Di＝Di-1+di’。
Note that, in this specification, the obtaining of the weighting factor is not limited. For simple calculation, the friction displacement, mileage or service cycle of the brake pad can be set according to different stages of the vehicle brake padPlacing; for example, when the friction displacement mileage of the vehicle brake pad is in the range of 0 to 5000 kilometers, the weighting coefficients of the current wear amounts are set to be beta1(ii) a All have a weighting coefficient beta in the range of 5000 to 10000 km2And so on; another example is: when the number of times of stepping on the brake pedal is in the range of 0 to 5000 times, the current abrasion loss corresponding to each braking action has a weighting coefficient beta1'; when the brake pedal is stepped on for 5000 to 10000 times, the weighting coefficients are all provided2' and so on.
Through weighting setting is carried out on the current abrasion loss, the abrasion loss information and the residual abrasion loss information of the vehicle brake pad can be acquired more accurately.
The same and similar parts between the present embodiment and embodiment 1 can be referred to each other, and each embodiment focuses on the differences from the other embodiments. The beneficial effects obtained in this embodiment are the same as those obtained in embodiment 1, and are not described in detail here.
Example 3
On embodiment 1 and embodiment 2 basis, this embodiment provides a device based on car networking big data warning replacement brake block, includes:
the vehicle monitoring system is used for monitoring data of the vehicle in the braking process and uploading vehicle information and obtained braking information to the Internet of vehicles big data platform;
the first acquisition module is used for processing the brake information uploaded by the vehicle monitoring system to acquire the current abrasion loss of the vehicle brake pad;
the second acquisition module is used for searching and acquiring the historical wear loss of the vehicle brake pad according to the vehicle information;
the first calculation module is used for calculating the accumulated abrasion loss of the vehicle brake pad according to the current abrasion loss and the historical abrasion loss;
the first comparison module is used for comparing the accumulated abrasion loss with a preset replacement condition;
and the first execution module is used for sending reminding information of replacing the brake pad to the vehicle monitoring system when the replacement condition is met.
Example 4
Referring to fig. 2, the present embodiment provides an electronic device 10, including:
one or more processors 20;
a memory 30;
and one or more programs 31, the one or more programs 31 being stored in the memory 30 and configured to be executed by the one or more processors 20, the programs 31 including instructions for performing the method for reminding replacement of a brake pad based on internet of vehicles big data according to the above technical solution.
Example 5
The embodiment provides a computer-readable storage medium, which includes one or more computer programs that can be executed by a processor to implement the method for reminding the replacement of the brake pad based on the internet of vehicles big data according to the technical solution described above.
While the invention has been described with reference to specific embodiments, it will be appreciated by those skilled in the art that the invention is not limited to the details of the foregoing illustrative embodiments, and that the invention can be embodied in other specific forms without departing from the spirit or essential attributes thereof. The present embodiments are therefore to be considered in all respects as illustrative and not restrictive, the scope of the invention being indicated by the appended claims rather than by the foregoing description, and all changes which come within the meaning and range of equivalency of the claims are therefore intended to be embraced therein. Any reference sign in a claim should not be construed as limiting the claim concerned.
Also, in some cases, the actions or steps recited in the claims can be performed in a different order than in the embodiments and still achieve desirable results. In addition, the processes depicted in the accompanying figures do not necessarily require the particular order shown, or sequential order, to achieve desirable results. In some embodiments, multitasking and parallel processing may also be possible or may be advantageous.
Claims (10)
1. A method for reminding replacement of brake pads based on Internet of vehicles big data is characterized by comprising the following steps:
monitoring data information of a vehicle in a braking process through a vehicle monitoring system to obtain braking information, and uploading the vehicle information and the braking information to a vehicle networking big data platform;
the Internet of vehicles big data platform processes the brake information to obtain the current abrasion loss of the vehicle brake pad, and searches the historical abrasion loss of the vehicle brake pad according to the vehicle information;
the Internet of vehicles big data platform calculates the accumulated abrasion loss of the vehicle brake pad according to the current abrasion loss and the historical abrasion loss;
the Internet of vehicles big data platform compares the accumulated abrasion loss with a preset replacement condition;
when the replacement condition is met, the Internet of vehicles big data platform sends a reminding message of replacing the brake pad to the vehicle monitoring system;
the internet of vehicles big data platform processes the brake information, obtains the current wear loss of the vehicle brake block, and searches the historical wear loss of the vehicle brake block according to the vehicle information, including:
the brake information at least comprises change information of vehicle speed in the brake process and change information of the position of a brake pedal in the brake process, and the car networking big data platform calculates the abrasion loss of a car brake pad corresponding to each preset depth interval of the brake pedal according to the brake information.
2. The method for reminding replacement of the brake pad based on the internet of vehicles big data as claimed in claim 1, wherein the internet of vehicles big data platform processes the brake information, obtains the current wear amount of the vehicle brake pad, and searches the historical wear amount of the vehicle brake pad according to the vehicle information, further comprising:
and the car networking big data platform obtains the current abrasion loss of the car brake pad according to the abrasion loss of the car brake pad corresponding to each preset depth interval of the brake pedal.
3. The method for reminding replacement of the brake pad based on the internet of vehicles big data according to claim 1, wherein the internet of vehicles big data platform calculates the amount of wear of the brake pad of the vehicle corresponding to each preset depth interval of the brake pedal according to the brake information, and comprises the following steps:
the Internet of vehicles big data platform acquires the wear coefficients corresponding to the depth intervals respectively;
the Internet of vehicles big data platform calculates the friction displacement of the vehicle brake pad corresponding to each depth interval according to the brake information;
and the car networking big data platform calculates the abrasion loss of the car brake pad corresponding to each preset depth interval of the brake pedal according to the abrasion coefficient and the friction displacement.
4. The method for reminding replacement of the brake pad based on the internet of vehicles big data as claimed in claim 3, wherein the internet of vehicles big data platform obtains the wear coefficient corresponding to each depth interval, comprising:
the Internet of vehicles big data platform calculates the current friction displacement of the vehicle brake pad according to the brake information;
the Internet of vehicles big data platform searches the historical friction displacement of the vehicle brake pad according to the vehicle information;
the Internet of vehicles big data platform calculates the accumulated friction displacement of the vehicle brake pad according to the current friction displacement and the historical friction displacement;
and the car networking big data platform calculates the wear coefficient according to the accumulated friction displacement and the preset residual service life of the car brake pad corresponding to the accumulated friction displacement.
5. The method for reminding replacement of the brake pad based on the internet of vehicles big data according to claim 3, wherein the internet of vehicles big data platform calculates the friction displacement of the brake pad corresponding to each depth interval according to the brake information, and comprises:
the Internet of vehicles big data platform calculates the moving distance of the vehicle corresponding to each depth section according to the brake information;
and the car networking big data platform calculates the friction displacement of the car brake block corresponding to the moving distance according to the moving distance.
6. The method for reminding replacement of the brake pad based on the internet of vehicles big data as claimed in claim 5, wherein the internet of vehicles big data platform calculates the friction displacement of the brake pad of the vehicle corresponding to the moving distance according to the moving distance, comprising:
the Internet of vehicles big data platform obtains the change information of the vehicle speed corresponding to each depth interval along with the time according to the brake information;
and the Internet of vehicles big data platform calculates the moving distance of the vehicle corresponding to each depth interval according to the change information of the vehicle speed corresponding to each depth interval along with time.
7. The method for reminding of replacing the brake pad based on the internet of vehicles big data as claimed in claim 1, wherein after the internet of vehicles big data platform calculates the accumulated wear amount of the brake pad of the vehicle according to the current wear amount and the historical wear amount, the method further comprises:
and replacing the historical wear loss with the accumulated wear loss and storing the accumulated wear loss in the Internet of vehicles big data platform.
8. The method for reminding of replacing a brake pad based on Internet of vehicles big data as claimed in claim 1, wherein before said Internet of vehicles big data platform compares said accumulated wear amount with a preset replacement condition, further comprising:
the Internet of vehicles big data platform compares the accumulated abrasion loss with a preset early warning condition;
and when the early warning condition is met, the Internet of vehicles big data platform sends early warning information to the vehicle monitoring system.
9. An electronic device, comprising:
one or more processors;
a memory; and
one or more programs stored in the memory and executed by the one or more processors, the programs comprising instructions for performing the method of any of claims 1-8 for reminding replacement of a brake pad based on internet of vehicles big data.
10. A computer-readable storage medium, wherein at least one instruction, at least one program, a set of codes, or a set of instructions is stored in the storage medium, and the at least one instruction, the at least one program, the set of codes, or the set of instructions is loaded and executed by a processor to implement the method for changing brake pads based on internet of vehicles big data reminder according to any one of claims 1 to 8.
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| CN113781752B (en) * | 2021-08-24 | 2023-01-31 | 武汉依迅北斗时空技术股份有限公司 | Brake pad early warning method and device, electronic equipment and storage medium |
| CN114370471B (en) * | 2022-01-05 | 2023-09-01 | 东风柳州汽车有限公司 | Brake pad wear reminding method, device, equipment and storage medium |
| CN115009249B (en) * | 2022-06-24 | 2023-11-03 | 深蓝汽车科技有限公司 | Method, system and computer readable storage medium for reminding maintenance or replacement of brake pads |
| CN115157015A (en) * | 2022-06-30 | 2022-10-11 | 歌尔股份有限公司 | Cloth wheel polishing equipment and control method and device thereof |
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