CN117291580B - Intelligent management analysis method and device for service vehicle tire life cycle - Google Patents
Intelligent management analysis method and device for service vehicle tire life cycle Download PDFInfo
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Abstract
The invention relates to the technical field of data processing, and discloses an intelligent management analysis method and device for a service vehicle tyre life cycle, wherein the intelligent management analysis method comprises the following steps: acquiring tire state information of a target tire; determining target overhaul management information of the target tire according to the tire state information; acquiring first identification information of the target tire, acquiring vehicle carrying information of a target carrying vehicle corresponding to the target tire, and acquiring region basic information of a region where the target carrying vehicle comes and goes; determining first loss management information according to the first identification information and the vehicle carrying information; determining second loss management information according to the first identification information and the region basic information; according to the target overhaul management information, the first loss management information and the second loss management information, the life cycle management information of the target tire is determined, and accuracy in life cycle management of the tire can be improved.
Description
Technical Field
The invention relates to the technical field of data processing, in particular to an intelligent management analysis method and device for a service vehicle tyre life cycle.
Background
With the continuous development of automobile technology, the intelligent requirements of automobiles are also increasing. In the process of using the automobile, a user usually overhauls the automobile, and the automobile tire belongs to an important direction of overhauling the commercial automobile. In the prior art, when the tire of the automobile is overhauled, the current state of the tire is usually checked manually, and the tire is overhauled through experience of an overhauler and the like, so that the tire is usually managed manually when the life cycle of the tire is managed, for example, after how long the tire is used, the tire is checked, the tire is replaced and the like, and the accuracy of the tire in the life cycle management is low.
Disclosure of Invention
The invention provides an intelligent management analysis method and device for a life cycle of a commercial vehicle tire, which aim to solve the technical problem of lower accuracy when the life cycle of the tire is managed.
In a first aspect, a method for intelligently managing and analyzing a life cycle of a tire of a commercial vehicle is provided, where the method includes:
acquiring tire state information of a target tire;
determining target overhaul management information of the target tire according to the tire state information;
acquiring first identification information of the target tire, acquiring vehicle carrying information of a target carrying vehicle corresponding to the target tire, and acquiring region basic information of a region where the target carrying vehicle comes and goes;
determining first loss management information according to the first identification information and the vehicle carrying information;
determining second loss management information according to the first identification information and the region basic information;
and determining life cycle management information of the target tire according to the target overhaul management information, the first loss management information and the second loss management information.
In a second aspect, there is provided a commercial vehicle tire life cycle intelligent management analysis device, the commercial vehicle tire life cycle intelligent management analysis device comprising:
a first acquisition unit configured to acquire tire state information of a target tire;
a first determining unit configured to determine target overhaul management information of the target tire according to the tire state information;
a second obtaining unit, configured to obtain first identification information of the target tire, obtain vehicle carrying information of a target carrier corresponding to the target tire, and obtain region basic information of a region where the target carrier goes and goes;
a second determining unit configured to determine first loss management information according to the first identification information and the vehicle carrying information;
a third determining unit configured to determine second loss management information according to the first identification information and the region basic information;
and a fourth determining unit configured to determine life cycle management information of the target tire according to the target overhaul management information, the first loss management information, and the second loss management information.
In a third aspect, a computer device is provided, including a memory, a processor, and a computer program stored in the memory and executable on the processor, the processor implementing the steps of the method for intelligent management and analysis of a commercial vehicle tyre lifecycle when executing the computer program.
In a fourth aspect, a computer readable storage medium is provided, where a computer program is stored, and the computer program when executed by a processor implements the steps of the intelligent management analysis method for a commercial vehicle tire life cycle.
In the scheme realized by the intelligent management analysis method for the life cycle of the commercial vehicle tire, the life cycle management information of the target tire is determined by acquiring the tire state information of the target tire, determining the target maintenance management information of the target tire according to the tire state information, acquiring the first identification information of the target tire, acquiring the vehicle carrying information of the target carrying vehicle corresponding to the target tire, acquiring the regional basic information of the area where the target carrying vehicle goes and goes, determining the first loss management information according to the first identification information and the vehicle carrying information, determining the second loss management information according to the first identification information and the regional basic information, and determining the life cycle management information of the target tire according to the target maintenance management information, the first loss management information and the second loss management information, so that the life cycle management information of the target tire can be determined through the tire state information, the first identification information, the vehicle carrying information and the regional basic information, and the accuracy of the life cycle management information timing of the target tire is improved.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings that are needed in the description of the embodiments of the present invention will be briefly described below, it being obvious that the drawings in the following description are only some embodiments of the present invention, and that other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
FIG. 1 is a flow chart of a method for intelligent management and analysis of a tire life cycle of a commercial vehicle according to an embodiment of the invention;
FIG. 2 is a schematic diagram of a device for intelligent management and analysis of a life cycle of a tire of a commercial vehicle according to an embodiment of the present invention;
FIG. 3 is a schematic diagram of a computer device according to an embodiment of the present invention.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and fully with reference to the accompanying drawings, in which it is evident that the embodiments described are some, but not all embodiments of the invention. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
In order to better understand the intelligent management and analysis method for the life cycle of the commercial vehicle tire provided by the embodiment of the invention, the application environment of the intelligent management and analysis method for the life cycle of the commercial vehicle tire is briefly described below. The intelligent management analysis method for the life cycle of the vehicle tire of the commercial vehicle is applied to the tire of the commercial vehicle, the commercial vehicle can be a passenger-carrying operation vehicle and the like, the commercial vehicle has high requirements on safety when running, the life cycle of each part of the vehicle, for example, the life cycle of the tire is required to be accurately acquired, the tire is managed according to the life cycle, and the like, so that the safety of the vehicle is improved. In the prior art, when the tire is subjected to life cycle management, the management is usually performed manually, for example, after how long the tire is used, the tire is checked, the tire is replaced, and the like, so that the accuracy in the process of performing life cycle management on the tire is low.
In order to solve the above problems, the embodiment of the application provides an intelligent management analysis method for the life cycle of a commercial vehicle tire, which can determine the life cycle management information of a target tire through tire state information, first identification information, vehicle carrying information and region basic information, thereby improving the accuracy of the determination of the life cycle management information of the target tire.
Referring to fig. 1, fig. 1 is a schematic flow chart of a method for intelligent management and analysis of a service vehicle tire life cycle according to an embodiment of the present invention, which includes the following steps:
101. tire state information of a target tire is acquired.
The target tire may be a tire of a commercial vehicle to be detected, and the tire state information may be acquired by a sensor. The tire state information may include a running mileage, a tire pattern depth, brake state information, and historical maintenance information, the running mileage may be understood as a running mileage of a commercial vehicle, and the brake state information may be understood as a wear state of a tire at the time of braking, etc.
102. And determining target overhaul management information of the target tire according to the tire state information.
The first pattern wear information can be determined according to the running mileage and the tire pattern depth, the first brake wear information can be determined according to the running mileage and the brake status information, the reference maintenance management information can be determined according to the first pattern wear information and the first brake wear information, and finally the target maintenance management information can be determined according to the historical maintenance information and the reference maintenance management information. Thus, the target maintenance management information can be accurately obtained by combining the tire pattern depth, the running mileage, the brake status information and the like.
103. And acquiring first identification information of the target tire, acquiring vehicle carrying information of a target carrying vehicle corresponding to the target tire, and acquiring region basic information of a region where the target carrying vehicle goes.
The first identification information, the vehicle-carrying information of the target vehicle corresponding to the target tire, the region basic information of the region where the target vehicle comes and comes, and the like may be acquired from the internet or the like. The first identification information may be used to identify some fixed parameter of the target tire, such as a short-term load threshold and average load threshold, tire material information, and the like. The region basic information may include region altitude information, region road condition information, region weather information, and the like. The vehicle carrying information may include a vehicle load information set, a passenger flow information set, and the like.
104. And determining first loss management information according to the first identification information and the vehicle carrying information.
The load management information may be determined according to the short-time load threshold value and the average load threshold value of the target tire determined by the first identification information, and a vehicle load information set in the vehicle carrying information, and the first customer flow management information may be determined according to the passenger flow information set, and finally the first loss management information may be determined according to the load management information and the first customer flow management information.
105. And determining second loss management information according to the first identification information and the region basic information.
The tire material information may be determined based on the first identification information, and the second loss management information may be determined based on the tire material information and the region basic information.
106. And determining life cycle management information of the target tire according to the target overhaul management information, the first loss management information and the second loss management information.
And a life cycle management curve can be constructed according to the target overhaul management information, the first loss management information and the second loss management information, and the life cycle management information is represented by the life cycle management curve, so that the practicability of the life cycle management information determination is improved.
The life cycle management information may be a maintenance schedule, which may be understood as time for maintaining a target tire, a maintenance period, etc., and maintenance of a tire may be understood as accurate tire wear detection, tire pressure detection, etc. of the tire. For example, in the period of detecting the tire pressure, when detecting the tire pressure, if the tire pressure is found to be an abnormal tire pressure, the tire pressure of the tire can be adjusted at this time.
In this example, the tire state information of the target tire is obtained, the target maintenance management information of the target tire is determined according to the tire state information, the first identification information of the target tire is obtained, the vehicle carrying information of the target carrying vehicle corresponding to the target tire is obtained, the area basic information of the area where the target carrying vehicle goes and goes is obtained, the first loss management information is determined according to the first identification information and the vehicle carrying information, the second loss management information is determined according to the first identification information and the area basic information, and the life cycle management information of the target tire is determined according to the target maintenance management information, the first loss management information and the second loss management information, so that the life cycle management information of the target tire can be determined through the tire state information, the first identification information, the vehicle carrying information and the area basic information, and the accuracy of the life cycle management information determination of the target tire is improved.
In one possible implementation, the tire status information includes a driving mileage, a tire pattern depth, brake status information, and historical maintenance information, and a method for determining target maintenance management information of the target tire according to the tire status information includes:
a1, determining first pattern wear information according to the running mileage and the tire pattern depth;
a2, determining pattern wear management information according to the first pattern wear information;
a3, determining first brake wear information according to the running mileage and the brake state information;
a4, determining brake wear management information according to the first brake wear information;
a5, determining reference maintenance management information according to the pattern wear management information and the brake wear management information;
a6, determining target overhaul management information of the target tire according to the historical overhaul information and the reference overhaul management information.
Wherein the mileage may characterize the used mileage of the target tire. The longer the mileage used, the more worn the tire, and the shorter the mileage used, the less worn the tire. Since the tire pattern depth can also reflect the degree of wear of the tire, the greater the tire pattern depth, the less wear, and the lesser the tire pattern depth, the less wear. Therefore, the first pattern wear information may be determined according to the running mileage and the tire pattern depth, and the first pattern wear information may be characterized by a wear degree value, the larger the wear degree value is, the larger the wear, and the smaller the wear degree value is, the smaller the wear is.
Different first pattern wear information corresponds to different pattern wear management information, and therefore, pattern wear management information corresponding to the first pattern wear information can be determined according to the mapping relation.
Because the brake state information can represent the wear degree of the tire during braking, the first brake wear information can be determined according to the running mileage and the brake state information, and the brake state information can be, for example, sudden braking, ordinary braking, spot braking and the like, wherein the sudden braking has larger wear on the tire, the ordinary braking has lower wear on the tire than the sudden braking, and the spot braking has lower wear than the model of the ordinary braking.
The method for determining the reference maintenance management information according to the pattern wear management information and the brake wear management information may be to fuse the pattern wear management information and the brake wear management information to obtain target wear management information, and determine the reference maintenance management information according to the target wear management information. Specifically, the adjustment of the abrasion can be represented by the target abrasion management information, so that the reference overhaul management information is determined according to the adjustment, the reference overhaul management information can comprise overhaul intervals, overhaul dynamics and the like, and the more the overhaul dynamics is, the more overhaul items are in overhaul, the less the overhaul dynamics is, and the fewer the overhaul items are.
The reference overhaul management information may be corrected by using the historical overhaul information to obtain the target overhaul management information, and specifically, the correction parameter may be determined according to the historical overhaul information, and the reference overhaul management information may be corrected according to the correction parameter to obtain the target overhaul management information. The correction parameters can reflect the influence degree of the historical overhaul information on tyre overhaul, and the larger the overhaul parameters are, the larger the numerical value of the parameters to be adjusted in the reference overhaul management information is, and the smaller the overhaul parameters are, the smaller the numerical value of the parameters to be adjusted in the reference overhaul management information is.
In one possible implementation, the vehicle-carried information includes a set of vehicle load information and a set of passenger flow information, and a method for determining first loss management information according to the first identification information and the vehicle-carried information includes:
b1, determining a short-time load threshold value and an average load threshold value of the target tire according to the first identification information;
b2, determining short-time overload information according to the vehicle load information set and the short-time load threshold value;
b3, determining first load management information according to the short-time overload information;
b4, determining average overload information according to the vehicle load information set and the average load threshold value;
b5, determining second load management information according to the average overload information;
b6, determining a first customer flow change information set according to the passenger flow information set;
b7, determining first customer flow management information in the first customer flow change information;
and B8, determining first loss management information according to the first load management information and the first customer flow management information.
The short-time load threshold value and the average load threshold value of the target tire can be determined according to the mapping relation between the first identification information and the short-time load threshold value and the average load threshold value of the target tire.
And acquiring the vehicle load information with the vehicle load information larger than the short-time load threshold value from the vehicle load information set, obtaining a reference vehicle load information set, and determining short-time overload information according to the reference vehicle load information set.
The higher the number of overloads in the short-time overload information, the smaller the period in which the tire is inspected in the first load management information, that is, the shorter the inspection time interval. It is specifically understood that, since the higher the number of overloads in the short-time overload information, the more the number of overpressure experienced by the target tire is indicated, and thus the loss occurs, the shorter the inspection cycle, that is, the higher the inspection frequency is, the more the loss occurs.
The method for determining the average overload information may refer to a method for determining the short-time overload information, which is not described herein. The larger the average overload information is, the smaller the period in which the tire is inspected in the first load management information is, that is, the shorter the inspection time interval is.
The first customer flow rate change information in the first customer flow rate change information set may characterize a degree of change in the passenger flow rate, and different degrees of change correspond to different first customer flow rate management information. The first customer flow rate change information may specifically be an amount of increase or decrease in the passenger flow rate, and the first customer flow rate management information may be to shorten the inspection period, that is, increase the inspection frequency, so as to better perform loss management.
And finally, determining the first loss management information according to the first load management information, the second load management information and the first customer flow management information may specifically be to perform average calculation on the inspection periods in the first load management information, the second load management information and the first customer flow management information to obtain an average inspection period, and underestimating the average inspection period as the first loss management information.
In one possible implementation, a method for determining short-term overload information according to the set of vehicle load information and the short-term load threshold value includes:
c1, acquiring vehicle load information of which the vehicle load information is larger than the short-time load threshold value from the vehicle load information set to obtain a reference vehicle load information set;
c2, acquiring driving road section information corresponding to each piece of reference vehicle load information in the reference vehicle load information set to obtain a first driving road section information set;
and C3, determining the short-time overload information according to the first travel road section information set and the corresponding reference vehicle load information.
The different first driving road section information corresponds to different road conditions, and the wear degree of the different road conditions on the tires is different. Therefore, short-time overload information can be determined according to the reference vehicle load information and the first driving road section, the short-time overload information can represent the abrasion degree of the target tire, the larger the overload amount in the short-time overload information is, the larger the abrasion degree is, the smaller the corresponding inspection period is, the smaller the overload amount in the short-time overload information is, the smaller the abrasion degree is, and the corresponding inspection period is larger. Specifically, for example, when the tire is overloaded for a short time, the pressure to which the tire is subjected is greater than the pressure to which the tire is subjected in a normal condition, and the friction force when the target tire is in contact with the road surface increases due to the increase in pressure, so that the degree of wear of the tire increases, and the risk of abnormality of the tire increases, so that the frequency of detecting the target tire needs to be increased, and the corresponding inspection cycle is reduced.
In one possible implementation manner, the first identification information includes tire material information, the region basic information includes region altitude information, region road condition information and region weather information, and the method for determining the second loss management information according to the first identification information and the region basic information includes:
d1, determining a first loss parameter according to the area altitude information;
d2, determining a second loss parameter according to the regional road condition information;
d3, determining a weather change curve according to the regional weather information;
d4, determining a third loss parameter according to the weather change curve;
d5, carrying out fusion processing on the first loss parameter, the second loss parameter and the third loss parameter to obtain a target loss parameter;
and D6, determining the second loss management information according to the tire material information and the target loss parameter.
The first loss parameters corresponding to different area elevation information can be determined according to the area elevation information, the second loss parameters can be determined according to different area road condition information, and therefore the second loss parameters can be determined according to the area road condition information. Specifically, for example, the higher the altitude, the lower the pressure of the environment against the tire, and the pressure inside the tire is greater than the pressure outside, and therefore, the tire pressure imbalance is liable to be caused to cause abnormality in the tire, and further the loss of the tire is increased. The road conditions in different areas may be different, for example, the road surface in the first area is asphalt road, the road surface in the second area is cement road, and the road surface in the third area is gravel road, so that the loss of the target tire on the gravel road may be higher than the loss on the cement road, and the loss on the cement road may be higher than the loss on the wave oil road, and therefore, the second loss parameter may be determined according to the road surface condition.
Because the wear degree of the tire can be different under different weather conditions, a weather change curve can be determined according to weather information, and a third loss parameter can be determined according to the weather change curve. Specifically, for example, the degree of wear of the tire in a rainy day may be lower than the degree of wear of the tire in a sunny day, and for example, the degree of wear of the tire in an icy or snowy day may be lower than the degree of wear of the tire in a rainy day.
The sum of the first loss parameter, the second loss parameter, and the third loss parameter may be determined as a target loss parameter.
Because the different tire materials have different losses under different areas of altitude, areas of road conditions and weather conditions, the second loss management information can be determined according to the tire material information and the target loss parameters.
In an embodiment, a device for intelligently managing and analyzing the life cycle of a tire of a commercial vehicle is provided, and the device for intelligently managing and analyzing the life cycle of the tire of the commercial vehicle is in one-to-one correspondence with the method for intelligently managing and analyzing the life cycle of the tire of the commercial vehicle in the embodiment. As shown in fig. 2, the intelligent management and analysis device for the life cycle of the commercial vehicle tire comprises:
a first acquisition unit 201 for acquiring tire state information of a target tire;
a first determining unit 202 for determining target overhaul management information of the target tire according to the tire state information;
a second obtaining unit 203, configured to obtain first identification information of the target tire, obtain vehicle carrying information of a target carrier corresponding to the target tire, and obtain region basic information of a region where the target carrier comes and goes;
a second determining unit 204 configured to determine first loss management information according to the first identification information and the vehicle carrying information;
a third determining unit 205 configured to determine second loss management information according to the first identification information and the region basic information;
a fourth determining unit 206, configured to determine life cycle management information of the target tire according to the target overhaul management information, the first loss management information, and the second loss management information.
In an embodiment, the tire status information includes a driving mileage, a tire pattern depth, brake status information, and historical maintenance information, and the first determining unit 202 is configured to:
determining first pattern wear information according to the number of travel mileage and the tire pattern depth;
determining pattern wear management information according to the first pattern wear information;
determining first brake wear information according to the driving mileage and the brake status information;
determining brake wear management information according to the first brake wear information;
determining reference maintenance management information according to the pattern wear management information and the brake wear management information;
and determining target overhaul management information of the target tire according to the historical overhaul information and the reference overhaul management information.
In an embodiment, the vehicle carrying information includes a vehicle load information set and a passenger flow information set, and the second determining unit 204 is configured to:
determining a short-time load threshold value and an average load threshold value of the target tire according to the first identification information;
determining short-time overload information according to the vehicle load information set and the short-time load threshold;
determining first load management information according to the short-time overload information;
determining average overload information according to the vehicle load information set and the average load threshold;
determining second load management information according to the average overload information;
determining a first customer flow change information set according to the passenger flow information set;
determining first customer traffic management information at the first customer traffic variation information;
and determining first loss management information according to the first load management information and the first customer flow management information.
In an embodiment, in determining short-time overload information according to the set of vehicle load information and the short-time load threshold, the second determining unit 204 is configured to:
acquiring vehicle load information of which the vehicle load information is larger than the short-time load threshold value from the vehicle load information set to obtain a reference vehicle load information set;
acquiring driving road section information corresponding to each piece of reference vehicle load information in the reference vehicle load information set to obtain a first driving road section information set;
and determining the short-time overload information according to the first travel road section information set and the corresponding reference vehicle load information.
In one embodiment, the region basic information includes region altitude information, region road condition information, and region weather information, and the third determining unit 205 is configured to:
determining a first loss parameter according to the area altitude information;
determining a second loss parameter according to the regional road condition information;
determining a weather change curve according to the regional weather information;
determining a third loss parameter according to the weather change curve;
determining tire material information according to the first identification information;
performing fusion processing on the first loss parameter, the second loss parameter and the third loss parameter to obtain a target loss parameter;
and determining the second loss management information according to the tire material information and the target loss parameter.
The specific limitation of the intelligent management analysis device for the life cycle of the commercial vehicle tire can be referred to the limitation of the intelligent management analysis method for the life cycle of the commercial vehicle tire hereinabove, and the detailed description thereof is omitted. The modules in the intelligent management and analysis device for the life cycle of the commercial vehicle tire can be fully or partially realized by software, hardware and a combination thereof. The above modules may be embedded in hardware or may be independent of a processor in the computer device, or may be stored in software in a memory in the computer device, so that the processor may call and execute operations corresponding to the above modules.
In one embodiment, a computer device is provided, which may be a server. The computer device includes a processor, a memory, a network interface, and a database connected by a system bus. Wherein the processor of the computer device is configured to provide computing and control capabilities. The memory of the computer device includes non-volatile and/or volatile storage media and internal memory. The non-volatile storage medium stores an operating system, computer programs, and a database. The internal memory provides an environment for the operation of the operating system and computer programs in the non-volatile storage media. The network interface of the computer device is for communicating with an external client via a network connection. The computer program, when executed by a processor, performs the functions or steps of a method for intelligent management and analysis of the life cycle of a commercial vehicle tyre.
In one embodiment, a computer device is provided comprising a memory, a processor, and a computer program stored on the memory and executable on the processor, the processor implementing the steps of when executing the computer program:
acquiring tire state information of a target tire;
determining target overhaul management information of the target tire according to the tire state information;
acquiring first identification information of the target tire, acquiring vehicle carrying information of a target carrying vehicle corresponding to the target tire, and acquiring region basic information of a region where the target carrying vehicle comes and goes;
determining first loss management information according to the first identification information and the vehicle carrying information;
determining second loss management information according to the first identification information and the region basic information;
and determining life cycle management information of the target tire according to the target overhaul management information, the first loss management information and the second loss management information.
In one embodiment, a computer readable storage medium is provided having a computer program stored thereon, which when executed by a processor, performs the steps of:
acquiring tire state information of a target tire;
determining target overhaul management information of the target tire according to the tire state information;
acquiring first identification information of the target tire, acquiring vehicle carrying information of a target carrying vehicle corresponding to the target tire, and acquiring region basic information of a region where the target carrying vehicle comes and goes;
determining first loss management information according to the first identification information and the vehicle carrying information;
determining second loss management information according to the first identification information and the region basic information;
and determining life cycle management information of the target tire according to the target overhaul management information, the first loss management information and the second loss management information.
It should be noted that, the functions or steps that can be implemented by the computer readable storage medium or the computer device may correspond to the relevant descriptions on the server side in the foregoing method embodiments, and are not described herein one by one for avoiding repetition.
Those skilled in the art will appreciate that implementing all or part of the above described methods may be accomplished by way of a computer program stored on a non-transitory computer readable storage medium, which when executed, may comprise the steps of the embodiments of the methods described above. Any reference to memory, storage, database, or other medium used in the various embodiments provided herein may include non-volatile and/or volatile memory. The nonvolatile memory can include Read Only Memory (ROM), programmable ROM (PROM), electrically Programmable ROM (EPROM), electrically Erasable Programmable ROM (EEPROM), or flash memory. Volatile memory can include Random Access Memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in a variety of forms such as Static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double Data Rate SDRAM (DDRSDRAM), enhanced SDRAM (ESDRAM), synchronous Link DRAM (SLDRAM), memory bus direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM), among others.
It will be apparent to those skilled in the art that, for convenience and brevity of description, only the above-described division of the functional units and modules is illustrated, and in practical application, the above-described functional distribution may be performed by different functional units and modules according to needs, i.e. the internal structure of the apparatus is divided into different functional units or modules to perform all or part of the above-described functions.
The above embodiments are only for illustrating the technical solution of the present invention, and not for limiting the same; although the 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 scheme described in the foregoing embodiments can be modified or some technical features thereof can be replaced by equivalents; such modifications and substitutions do not depart from the spirit and scope of the technical solutions of the embodiments of the present invention, and are intended to be included in the scope of the present invention.
Claims (6)
1. The intelligent management and analysis method for the life cycle of the commercial vehicle tire is characterized by comprising the following steps of:
acquiring tire state information of a target tire;
determining target overhaul management information of the target tire according to the tire state information;
acquiring first identification information of the target tire, acquiring vehicle carrying information of a target carrying vehicle corresponding to the target tire, and acquiring region basic information of a region where the target carrying vehicle comes and goes;
determining first loss management information according to the first identification information and the vehicle carrying information;
determining second loss management information according to the first identification information and the region basic information;
determining life cycle management information of the target tire according to the target overhaul management information, the first loss management information and the second loss management information;
the vehicle carrying information comprises a vehicle loading information set and a passenger flow information set, and the determining first loss management information according to the first identification information and the vehicle carrying information comprises the following steps:
determining a short-time load threshold value and an average load threshold value of the target tire according to the first identification information;
determining short-time overload information according to the vehicle load information set and the short-time load threshold;
determining first load management information according to the short-time overload information;
determining average overload information according to the vehicle load information set and the average load threshold;
determining second load management information according to the average overload information;
determining a first customer flow change information set according to the passenger flow information set;
determining first customer flow management information according to a change rule among each first customer flow change information in the first customer flow change information set;
determining first loss management information based on the first load management information, the second load management information, and the first customer flow management information;
the determining short-time overload information according to the vehicle load information set and the short-time load threshold value comprises the following steps:
acquiring vehicle load information of which the vehicle load information is larger than the short-time load threshold value from the vehicle load information set to obtain a reference vehicle load information set;
acquiring driving road section information corresponding to each piece of reference vehicle load information in the reference vehicle load information set to obtain a first driving road section information set;
determining short-time overload information according to the first travel road section information set and corresponding reference vehicle load information;
the area basic information includes area altitude information, area road condition information and area weather information, and the determining second loss management information according to the first identification information and the area basic information includes:
determining a first loss parameter according to the area altitude information;
determining a second loss parameter according to the regional road condition information;
determining a weather change curve according to the regional weather information;
determining a third loss parameter according to the weather change curve;
determining tire material information according to the first identification information;
performing fusion processing on the first loss parameter, the second loss parameter and the third loss parameter to obtain a target loss parameter;
and determining second loss management information according to the tire material information and the target loss parameter.
2. The intelligent management and analysis method for the life cycle of a commercial vehicle tire according to claim 1, wherein the tire status information includes a running mileage, a tire pattern depth, brake status information, and historical maintenance information, and the determining the target maintenance management information of the target tire according to the tire status information includes:
determining first pattern wear information according to the number of travel mileage and the tire pattern depth;
determining pattern wear management information according to the first pattern wear information;
determining first brake wear information according to the driving mileage and the brake status information;
determining brake wear management information according to the first brake wear information;
determining reference maintenance management information according to the pattern wear management information and the brake wear management information;
and determining target overhaul management information of the target tire according to the historical overhaul information and the reference overhaul management information.
3. The utility model provides a commercial car vehicle tire life cycle intelligent management analytical equipment which characterized in that, commercial car vehicle tire life cycle intelligent management analytical equipment includes:
a first acquisition unit configured to acquire tire state information of a target tire;
a first determining unit configured to determine target overhaul management information of the target tire according to the tire state information;
a second obtaining unit, configured to obtain first identification information of the target tire, obtain vehicle carrying information of a target carrier corresponding to the target tire, and obtain region basic information of a region where the target carrier goes and goes;
a second determining unit configured to determine first loss management information according to the first identification information and the vehicle carrying information;
a third determining unit configured to determine second loss management information according to the first identification information and the region basic information;
a fourth determining unit configured to determine life cycle management information of the target tire according to the target overhaul management information, the first loss management information, and the second loss management information;
the vehicle carrying information comprises a vehicle load information set and a passenger flow information set, and the second determining unit is specifically configured to:
determining a short-time load threshold value and an average load threshold value of the target tire according to the first identification information;
determining short-time overload information according to the vehicle load information set and the short-time load threshold;
determining first load management information according to the short-time overload information;
determining average overload information according to the vehicle load information set and the average load threshold;
determining second load management information according to the average overload information;
determining a first customer flow change information set according to the passenger flow information set;
determining first customer flow management information according to a change rule among each first customer flow change information in the first customer flow change information set;
determining first loss management information based on the first load management information, the second load management information, and the first customer flow management information;
in said determining short-term overload information from said set of vehicle load information and said short-term load threshold, said second determining unit is specifically configured to:
acquiring vehicle load information of which the vehicle load information is larger than the short-time load threshold value from the vehicle load information set to obtain a reference vehicle load information set;
acquiring driving road section information corresponding to each piece of reference vehicle load information in the reference vehicle load information set to obtain a first driving road section information set;
determining short-time overload information according to the first travel road section information set and corresponding reference vehicle load information;
the region basic information comprises region altitude information, region road condition information and region weather information, and the third determining unit is specifically configured to:
determining a first loss parameter according to the area altitude information;
determining a second loss parameter according to the regional road condition information;
determining a weather change curve according to the regional weather information;
determining a third loss parameter according to the weather change curve;
determining tire material information according to the first identification information;
performing fusion processing on the first loss parameter, the second loss parameter and the third loss parameter to obtain a target loss parameter;
and determining second loss management information according to the tire material information and the target loss parameter.
4. The intelligent management and analysis device for the life cycle of a commercial vehicle tire according to claim 3, wherein the tire status information includes a running mileage, a tire pattern depth, brake status information, and historical maintenance information, and the first determining unit is configured to:
determining first pattern wear information according to the number of travel mileage and the tire pattern depth;
determining pattern wear management information according to the first pattern wear information;
determining first brake wear information according to the driving mileage and the brake status information;
determining brake wear management information according to the first brake wear information;
determining reference maintenance management information according to the pattern wear management information and the brake wear management information;
and determining target overhaul management information of the target tire according to the historical overhaul information and the reference overhaul management information.
5. A computer device comprising a memory, a processor and a computer program stored in the memory and executable on the processor, characterized in that the processor implements the intelligent management analysis method of the life cycle of a commercial vehicle tyre according to claim 1 or 2 when executing the computer program.
6. A computer readable storage medium storing a computer program, wherein the computer program when executed by a processor implements the intelligent management analysis method for the life cycle of a commercial vehicle tyre according to claim 1 or 2.
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| AU4164485A (en) * | 1984-04-27 | 1985-10-31 | Leroy G. Hagenbuch | Apparatus and method responsive to the on-board measuring of the load carried by a truck body |
| WO2020036142A1 (en) * | 2018-08-13 | 2020-02-20 | Ｔｏｙｏ Ｔｉｒｅ株式会社 | Tire maintenance management device and tire maintenance system |
| CN110914077A (en) * | 2017-06-02 | 2020-03-24 | 米其林集团总公司 | Method for providing services related to the condition and/or behaviour of a vehicle and/or of a tyre |
| CN112572067A (en) * | 2020-11-27 | 2021-03-30 | 北京多贝力轮胎有限公司 | Tire monitoring device and tire monitoring management system |
Family Cites Families (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| EP4015250B1 (en) * | 2020-12-15 | 2024-05-29 | Tata Consultancy Services Limited | System and method for real-time health prediction of tires |
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Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| AU4164485A (en) * | 1984-04-27 | 1985-10-31 | Leroy G. Hagenbuch | Apparatus and method responsive to the on-board measuring of the load carried by a truck body |
| CN110914077A (en) * | 2017-06-02 | 2020-03-24 | 米其林集团总公司 | Method for providing services related to the condition and/or behaviour of a vehicle and/or of a tyre |
| WO2020036142A1 (en) * | 2018-08-13 | 2020-02-20 | Ｔｏｙｏ Ｔｉｒｅ株式会社 | Tire maintenance management device and tire maintenance system |
| CN112572067A (en) * | 2020-11-27 | 2021-03-30 | 北京多贝力轮胎有限公司 | Tire monitoring device and tire monitoring management system |
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