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CN116803702A - Tire wear estimation method, device, server and medium for rubber-tired tramcars - Google Patents

Tire wear estimation method, device, server and medium for rubber-tired tramcars Download PDF

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CN116803702A
CN116803702A CN202210273344.4A CN202210273344A CN116803702A CN 116803702 A CN116803702 A CN 116803702A CN 202210273344 A CN202210273344 A CN 202210273344A CN 116803702 A CN116803702 A CN 116803702A
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tire
station
average
rubber
rolling radius
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CN116803702B (en
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王敏
陈艳军
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BYD Co Ltd
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BYD Co Ltd
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Abstract

本发明公开了一种胶轮有轨电车的轮胎磨损估计方法、装置、服务器及介质,胶轮有轨电车的轮胎磨损估计方法包括:确定当前站与上一站之间的站间距和电车运行数据;根据电车运行数据和预设的标准模型确定轮胎滚动半径标准值,并根据电车运行数据和站间距确定轮胎平均滚动半径;根据轮胎滚动半径标准值和轮胎平均滚动半径对胶轮有轨电车的轮胎磨损进行估计。根据本发明的胶轮有轨电车的轮胎磨损估计方法、装置、服务器及介质,能够有效地对胶轮有轨电车的轮胎磨损进行估计,从而为胶轮有轨电车的安全运营提供保障。

The invention discloses a tire wear estimation method, device, server and medium for a rubber-tired tram. The tire wear estimation method of a rubber-tired tram includes: determining the station spacing between the current station and the previous station and the tram operation data; determine the standard tire rolling radius based on the tram operating data and the preset standard model, and determine the tire rolling radius based on the tram operating data and station spacing; determine the rubber tire tram based on the tire rolling radius standard value and the tire average rolling radius Estimation of tire wear. According to the tire wear estimation method, device, server and medium of the rubber-tired tram of the present invention, the tire wear of the rubber-tied tram can be estimated effectively, thereby providing guarantee for the safe operation of the rubber-tied tram.

Description

Method and device for estimating tire wear of rubber-tyred tramcar, server and medium
Technical Field
The invention relates to the technical field of rubber-tyred tramcars, in particular to a tire wear estimation method, a device, a server and a medium of a rubber-tyred tramcar.
Background
Along with the promotion of science and technology level, public transport means's kind gradually increases, provides very big facility for people's daily trip, and wherein, rubber tyer tram's appearance has satisfied more people's daily trip demand. Because daily passenger capacity of the rubber-tyred tram is huge, the tires of the rubber-tyred tram can be worn out to different degrees along with the increase of the running time of the rubber-tyred tram, and then the normal running of the rubber-tyred tram and the personal safety of passengers can be threatened. Therefore, a solution capable of detecting the tire wear of a rubber-tyred tram is needed.
Disclosure of Invention
The present invention aims to solve at least one of the technical problems in the related art to some extent. Therefore, a first object of the present invention is to provide a method for estimating the tire wear of a rubber-tyred tram, which can effectively estimate the tire wear of the rubber-tyred tram, thereby providing a guarantee for the safe operation of the rubber-tyred tram.
A second object of the present invention is to propose a computer readable storage medium.
A third object of the present invention is to propose a server.
A fourth object of the present invention is to provide a tire wear estimation device for a rubber-tyred tram.
To achieve the above object, an embodiment of a first aspect of the present invention provides a tire wear estimation method for a rubber-tyred tram, the tire wear estimation method for the rubber-tyred tram comprising: determining the station distance between the current station and the last station and the trolley operation data; determining a tire rolling radius standard value according to the trolley operation data and a preset standard model, and determining a tire average rolling radius according to the trolley operation data and the station distance; and estimating the tire wear of the rubber-tyred tram according to the tire rolling radius standard value and the average tire rolling radius.
According to the tire wear estimation method for the rubber-tyred tram, disclosed by the embodiment of the invention, the average rolling radius of the tire of the tram running between the current station and the last station is determined based on the station distance between the current station and the last station and the tram running data, and the standard value of the tire rolling radius is determined based on the tram running data between the current station and the last station and the preset standard model, so that the tire wear of the rubber-tyred tram can be effectively estimated according to the average rolling radius of the tire and the standard value of the tire rolling radius, and the safety operation of the rubber-tyred tram is guaranteed.
In some embodiments of the invention, the determining the inter-station distance and trolley operation data between the current station and the previous station includes: determining the arrival time of a current station, the arrival time of a last station and the station spacing between the current station and the last station according to the door-opening train line feedback data, the current station data and the direction data; and determining the trolley operation data according to the arrival time of the current station and the arrival time of the last station.
In some embodiments of the present invention, the determining a tire rolling radius standard value according to the electric train operation data and a preset standard model includes: determining an inter-station load average value, an average vehicle speed, a tire pressure average value, a tire temperature average value and an environmental temperature average value according to the trolley operation data; and inputting the inter-station load average value, the average vehicle speed, the tire pressure average value, the tire temperature average value and the environment temperature average value into the preset standard model to obtain the tire rolling radius standard value.
In some embodiments of the present invention, the determining an inter-station load average value, an average vehicle speed, a tire pressure average value, a tire temperature average value, and an ambient temperature average value according to the electric car operation data includes: calculating the load average value between stations according to the data of the pressure sensor; calculating the average vehicle speed according to the vehicle speed data; calculating the tire pressure average value according to the tire pressure data; calculating the tire Wen Junzhi from tire temperature data; and calculating the average value of the environmental temperature according to the data of the environmental temperature.
In some embodiments of the present invention, the preset standard model includes a multiple regression model, and a regression equation of the multiple regression model is: wherein ,Is the standard value of the rolling radius of the tire, and zh is the average value of the load between stationsW is the average value of the ambient temperature, lv is the average vehicle speed, p is the average value of the tire pressure, and t is the tire Wen Junzhi.
In some embodiments of the invention, said determining the average rolling radius of the tire from said trolley operation data and said inter-station distance comprises: determining the number of tire turns based on the speed sensor data; and determining the average rolling radius of the tire according to the number of turns of the tire and the inter-station distance.
In some embodiments of the invention, the estimating the tire wear of the rubber-tyred tram based on the tire rolling radius standard value and the tire average rolling radius comprises: and calculating a difference value between the tire rolling radius standard value and the average tire rolling radius, and taking the difference value as a tire wear estimated value of the rubber-tyred tram.
In some embodiments of the invention, after taking the difference as the tire wear estimate for the rubber-tyred tram, the method further comprises: and determining that the continuous preset times of the tire wear estimated value is greater than or equal to a preset threshold value, and performing tire wear early warning.
To achieve the above object, a second aspect of the present invention provides a computer-readable storage medium having stored thereon a tire wear estimation program of a rubber-tyred tram, which when executed by a processor, implements the tire wear estimation method of the rubber-tyred tram of any one of the above embodiments.
According to the computer readable storage medium, the average rolling radius of the tire of the trolley which runs between the current station and the last station is determined based on the station distance between the current station and the last station and the trolley operation data, and the standard value of the rolling radius of the tire is determined based on the trolley operation data between the current station and the last station and the preset standard model, so that the tire abrasion of the trolley with rubber wheels can be effectively estimated according to the average rolling radius of the tire and the standard value of the rolling radius of the tire, and the safety operation of the trolley with rubber wheels is guaranteed.
To achieve the above object, an embodiment of a third aspect of the present invention provides a server including a memory, a processor, and a tire wear estimation program of a rubber-tyred tram stored on the memory and operable on the processor, wherein the processor implements the tire wear estimation method of the rubber-tyred tram of any one of the above embodiments when executing the tire wear estimation program of the rubber-tyred tram.
According to the server provided by the embodiment of the invention, the average rolling radius of the tire of the trolley which runs between the current station and the last station is determined based on the station distance between the current station and the last station and the trolley operation data, and the standard value of the rolling radius of the tire is determined based on the trolley operation data between the current station and the last station and the preset standard model, so that the tire abrasion of the trolley with rubber wheels can be effectively estimated according to the average rolling radius of the tire and the standard value of the rolling radius of the tire, and the guarantee is provided for the safe operation of the trolley with rubber wheels.
To achieve the above object, a fourth aspect of the present invention provides a tire wear estimation device for a rubber-tyred tram, comprising: the determining module is used for determining the station distance between the current station and the last station and the trolley operation data; the calculation module is used for determining a tire rolling radius standard value according to the trolley operation data and a preset standard model, and determining a tire average rolling radius according to the trolley operation data and the station distance; and the estimation module is used for estimating the tire wear of the rubber-tired tram according to the tire rolling radius standard value and the tire average rolling radius.
According to the tire wear estimation device for the rubber-tyred tram, disclosed by the embodiment of the application, the average rolling radius of the tire of the tram running between the current station and the last station is determined based on the station distance between the current station and the last station and the tram running data, and the standard value of the tire rolling radius is determined based on the tram running data between the current station and the last station and the preset standard model, so that the tire wear of the rubber-tyred tram can be effectively estimated according to the average rolling radius of the tire and the standard value of the tire rolling radius, and the safety operation of the rubber-tyred tram is guaranteed.
Additional aspects and advantages of the application will be set forth in part in the description which follows and, in part, will be obvious from the description, or may be learned by practice of the application.
Drawings
The foregoing and/or additional aspects and advantages of the present application will become apparent and readily appreciated from the following description of the embodiments, taken in conjunction with the accompanying drawings, in which:
FIG. 1 is a flow chart of a method for estimating tire wear of a rubber-tyred tram according to one embodiment of the application;
FIG. 2 is a flow chart of a method for estimating tire wear of a rubber-tyred tram according to another embodiment of the application;
FIG. 3 is a flow chart of a method for estimating tire wear of a rubber-tyred tram according to another embodiment of the present invention;
FIG. 4 is a flow chart of a method for estimating tire wear of a rubber-tyred tram according to another embodiment of the invention;
FIG. 5 is a schematic representation of regression results of a multiple regression model according to one embodiment of the invention;
FIG. 6 is a flow chart of a method for estimating tire wear of a rubber-tyred tram according to another embodiment of the invention;
FIG. 7 is a flow chart of a method for estimating tire wear of a rubber-tyred tram according to another embodiment of the invention;
FIG. 8 is a flow chart of a method for estimating tire wear of a rubber-tyred tram according to another embodiment of the invention;
FIG. 9 is a block diagram of a server according to one embodiment of the invention;
fig. 10 is a block diagram of a tire wear estimating apparatus of a rubber-tyred tram according to one embodiment of the present invention.
Detailed Description
Embodiments of the present invention are described in detail below, examples of which are illustrated in the accompanying drawings, wherein like or similar reference numerals refer to like or similar elements or elements having like or similar functions throughout. The embodiments described below by referring to the drawings are illustrative and intended to explain the present invention and should not be construed as limiting the invention.
In order to clearly illustrate the tire wear estimation method, device, server and medium of the rubber-tyred tram according to the embodiments of the present application, the following description is made with reference to the flow chart of the tire wear estimation method of the rubber-tyred tram shown in fig. 1. As shown in fig. 1, the tire wear estimation method of the rubber-tyred tram according to the embodiment of the application comprises the following steps:
s11: determining the station distance between the current station and the last station and the trolley operation data;
s13: determining a tire rolling radius standard value according to the trolley operation data and a preset standard model, and determining the average rolling radius of the tire according to the trolley operation data and the station distance;
s15: and estimating the tire wear of the rubber-tyred tramcar according to the tire rolling radius standard value and the tire average rolling radius.
According to the tire wear estimation method for the rubber-tyred tram, disclosed by the embodiment of the application, the average rolling radius of the tire of the tram running between the current station and the last station is determined based on the station distance between the current station and the last station and the tram running data, and the standard value of the tire rolling radius is determined based on the tram running data between the current station and the last station and the preset standard model, so that the tire wear of the rubber-tyred tram can be effectively estimated according to the average rolling radius of the tire and the standard value of the tire rolling radius, and the safety operation of the rubber-tyred tram is guaranteed.
Specifically, after the station distance between the current station and the last station and the trolley operation data between the current station and the last station are obtained, the average rolling radius of the tire is obtained through calculation, the standard value of the rolling radius of the tire is determined according to the trolley operation data and a preset standard model, the standard value of the rolling radius of the tire and the average rolling radius of the tire are compared, and then the tire wear degree of the rubber-tyred tramcar is estimated. It will be appreciated that in some embodiments, the tire rolling radius standard value is calculated first and then the tire average rolling radius is calculated; in certain embodiments, the tire average rolling radius is calculated and then the tire rolling radius standard value is calculated; in certain embodiments, the tire average rolling radius and the tire rolling radius standard value are calculated substantially simultaneously, without limitation. It should be noted that, substantially simultaneously, it is understood that the time difference between the two is less than or equal to a preset value.
The rubber-tyred tramcar comprises tires, and can run along a preset track through the tires; the preset standard model can be understood as a model constructed according to main influencing factors of the tire rolling radius of the rubber-tyred tram, and the standard value of the tire rolling radius of the tram can be rapidly determined by inputting the tram operation data between the current station and the last station into the preset standard model.
In some embodiments, the main influencing factors of the tire rolling radius of the rubber-tyred tram include vehicle speed, inter-station load, tire pressure, tire temperature, ambient temperature and the like. In some embodiments, the number of tires of the rubber-tyred tram is plural, and in estimating the tire wear of each tire, the tire wear of each tire is estimated based on the load of the cabin in which each tire is located, the air pressure of each tire, the temperature of each tire, the ambient temperature, and the vehicle speed, respectively. In this way, the tire wear of each tire can be determined more accurately according to the actual conditions of the tires.
In some embodiments, the inter-station distance and trolley operation data between the current station and the last station may be obtained by querying a database storing trolley history operation data.
Referring to fig. 2, in some embodiments of the present invention, step S11 includes the following steps:
s111: determining the arrival time of the current station, the arrival time of the last station and the station spacing between the current station and the last station according to the door-opening train line feedback data, the current station data and the direction data;
s113: and determining trolley operation data according to the arrival time of the current station and the arrival time of the last station.
In this way, the inter-station distance between the current station and the previous station and the trolley operation data between the current station and the previous station can be determined.
Specifically, the door-opening train line feedback data can be understood as data for representing the open state of the train door, the door-opening train line feedback data can be used for representing the open of the door by 1, and a first time stamp is arranged at the tail end of the door-opening train line feedback data, so that when the door-opening train line feedback data is characterized as 1, the door-opening time can be determined according to the first time stamp of the door-opening train line feedback data.
The current station data may include a station name of the current station and a second timestamp. The door-opening train line feedback data is associated with the current station data through a time stamp, after the door-opening time is determined according to the door-opening train line feedback data, the second time stamp in the current station data is matched according to the door-opening time to determine the corresponding station name of the current station, and further the door-opening time of the current station, namely the arrival time of the current station, can be determined.
The direction data may be understood as data for determining the direction of travel of the train. The train traveling direction includes an upward direction and a downward direction. In some embodiments, the direction data is terminal data, which may include a terminal name of the current train traveling direction, and it is understood that the train traveling direction can be determined after the terminal is determined. In some embodiments, the direction data is travel direction data, which may include a direction identifier, in one embodiment, direction identifier 01 indicates that the train travel direction is an upward direction, and direction identifier 10 indicates that the train travel direction is a downward direction, and the train travel direction can be determined after the direction identifier is determined. For example, if the determined direction data is 01, the train running direction is determined to be the upward direction, namely, the starting station of the rubber-tyred tram is A ground and the terminal station is B ground; if the determined direction data is 10, the running direction of the train is determined to be the downlink direction, namely, the starting station of the rubber-tyred tramcar is B ground, and the terminal station is A ground.
After the station name of the current station is obtained according to the current station data and the running direction of the train is determined according to the direction data, the station name of the last station can be determined by inquiring a train running route table, and further the station arrival time of the last station can be determined by matching the door opening train line feedback data according to the last station data.
After determining the station name of the current station and the station name of the last station, the station spacing between the current station and the last station can be obtained by querying a train routing table or other means.
The trolley history operation data can be stored in a database, the trolley history operation data of the corresponding period can be determined from the database according to the arrival time of the current station and the arrival time of the last station, and the train operation data of the corresponding period is used as trolley operation data between the current station and the last station.
In some embodiments, door-open trainline feedback data, current station data, and direction data may be obtained by querying a database storing historical operating data for the electric vehicle.
Referring to fig. 3, in some embodiments of the present invention, step S13 includes the following steps:
s131: determining an inter-station load average value, an average vehicle speed, a tire pressure average value, a tire temperature average value and an environmental temperature average value according to the trolley operation data;
S133: and inputting the load average value, the average vehicle speed, the tire pressure average value, the tire temperature average value and the ambient temperature average value among the stations into a preset standard model to obtain the tire rolling radius standard value.
It can be understood that in the related art, the tire wear is estimated only according to the tire rolling radius calculated by the driving mileage and the tire pressure, but when the vehicle speed is reduced, the tire rolling radius is reduced and approximately in a linear change relation, and when the tire pressure is reduced, the tire rolling radius is reduced and approximately in a linear change relation, that is, the vehicle speed and the tire pressure are also influence factors of the tire rolling radius, the tire wear estimation method in the related art has the problems of lower estimation precision, lower accuracy and the like, and the method comprehensively considers the influences of factors of the load between stations, the tire pressure, the tire temperature, the vehicle speed and the environment temperature on the tire rolling radius when estimating the tire wear degree, estimates the tire wear degree according to the average tire rolling radius and the tire rolling radius standard value under different states, and has higher accuracy and higher estimation precision.
Specifically, load average value, average speed, tire pressure average value, tire temperature average value and environment temperature average value of the trolley during running between the current station and the last station are respectively obtained from trolley running data, the load average value, average speed, tire pressure average value, tire temperature average value and environment temperature average value of the trolley during running between the current station and the last station are input into a standard model, and the standard model is output to obtain the tire rolling radius standard value of the rubber-tired trolley at the current station.
It can be understood that the tire rolling radius standard value obtained at this time is a standard value of a tire rolling radius when the rubber-tyred tramcar arrives at a current station, when the rubber-tyred tramcar arrives at a next station, the load average value, the average vehicle speed, the tire pressure average value, the tire temperature average value and the environmental temperature average value may change, and the tire rolling radius standard value when the rubber-tyred tramcar arrives at the next station can be obtained through a preset standard model and the newly obtained load average value, average vehicle speed, tire pressure average value, tire temperature average value and environmental temperature average value. The predetermined standard model may include a neural network model or a multiple regression model.
Referring to fig. 4, in some embodiments of the present invention, step S131 includes the following steps:
s1311: calculating the load average value between stations according to the data of the pressure sensor;
s1313: calculating an average vehicle speed according to the vehicle speed data;
s1315: calculating a tire pressure average value according to the tire pressure data;
s1317: calculating a tire Wen Junzhi from the tire temperature data;
s1319: an ambient temperature mean is calculated from the ambient temperature data.
Therefore, the load average value, the average speed, the tire pressure average value, the tire temperature average value and the environment temperature average value of the electric car in the running interval can be respectively obtained according to the electric car running data. It can be understood that the problems of low reliability, large error and the like exist in calculating the load, the vehicle speed, the tire pressure and the tire temperature among stations according to the data acquired once, and the load average value, the average vehicle speed, the tire pressure average value, the tire temperature average value and the environmental temperature average value are calculated according to the data acquired many times, so that the error can be effectively reduced, and the estimation precision of the tire abrasion is improved.
Specifically, the trolley operation data between the current station and the previous station includes pressure sensor data, vehicle speed data, tire pressure data, tire temperature data, and environmental temperature data.
The pressure sensor data may be obtained by a pressure sensor. The number of pressure sensors may comprise a plurality, and the plurality of pressure sensors may be arranged at different positions of the rubber-tyred tram. In some embodiments, the pressure sensor comprises a first pressure sensor arranged at the left front of the carriage and a second pressure sensor arranged at the right rear of the carriage, and the load average value of the current carriage of the rubber-tyred tramcar can be calculated according to the pressure sensor data acquired by the first pressure sensor and the second pressure sensor at the same time. The load average can be calculated by the formula (1): zh= (data1+data2) ×1.77+0.3 equation (1), where data1 is the acquisition data of the first pressure sensor, data2 is the acquisition data of the second pressure sensor, and 1.77 and 0.3 are parameters related to the selection of the first and second pressure sensors.
The vehicle speed data can comprise the vehicle speed, and the vehicle speed can be calculated according to the data acquired by the motor speed sensor of the rubber-tyred tramcar. In certain embodiments, the vehicle speed may be calculated by equation (2) and equation (3): Equation (2), v=v 0 *3.6 (km/h) formula (3), wherein n is the motor speed acquired by the motor speed sensor, i is the reduction ratio (e.g. 13.762), r is the tire radius (e.g. 430 mm), v 0 The vehicle speed in m/s is expressed, and v is expressed as km/h. After a plurality of sets of vehicle speed data between the current station arrival time and the last station arrival time are determined, a plurality of vehicle speeds can be determined, and then a first average value of the plurality of vehicle speeds is calculated and taken as an average vehicle speed.
The tire pressure data may include tire pressures, which may be obtained by a third pressure sensor, and after a plurality of sets of tire pressure data of a certain tire between a current station-to-station time and a last station-to-station time are determined, a plurality of tire pressures of the tire can be determined, and a second average of the plurality of tire pressures is calculated and taken as a tire pressure average of the tire.
The tire temperature data may include tire temperatures, which may be obtained by the first temperature sensor, and after determining a plurality of sets of tire temperature data for a certain tire between a current station-to-station time and a last station-to-station time, a plurality of tire temperatures for the certain tire can be determined, and a third average of the plurality of tire temperatures is calculated, and the third average is taken as a tire Wen Junzhi of the certain tire.
The environmental temperature data may include environmental temperatures, which may be obtained by the second temperature sensor, and after determining a plurality of sets of environmental temperature data between a current station arrival time and a previous station arrival time, the plurality of environmental temperatures can be determined, and further, a fourth average value of the plurality of environmental temperatures is calculated, and the fourth average value is taken as an environmental temperature average value.
In certain embodiments, the pressure sensor data, the vehicle speed data, the tire pressure data, the tire temperature data, and the ambient temperature data may be obtained by querying a database storing historical operating data for the electric vehicle.
In some embodiments of the present invention, the predetermined standard model includes a multiple regression model, and a regression equation of the multiple regression model is:formula (4), wherein->The tire rolling radius standard value is that zh is an inter-station load average value, w is an ambient temperature average value, lv is an average vehicle speed, p is a tire pressure average value, and t is a tire Wen Junzhi.
Therefore, the tire rolling radius standard value can be accurately and rapidly determined by adopting the multiple regression model.
It will be appreciated that in one example, experimental data generated when a rubber-tired tram with rubber wheels is in round trip operation between two preset stations is collected in advance, an average rolling radius of the rubber-tired tram, an average load value between stations, an average vehicle speed, an average tire pressure value, an average tire temperature value and an average environmental temperature value are determined according to the experimental data, and then the tire rolling radius, the load between stations, the tire pressure, the tire temperature and the correlation between the two environmental temperatures are calculated according to the average rolling radius of the rubber-tired tram, the average load between stations, the average tire pressure value, the average tire temperature value and the average environmental temperature value, so that a correlation matrix shown in table 1 is obtained.
TABLE 1
Tire rolling radius Load between stations Ambient temperature Tyre pressure Tyre temperature
Tire rolling radius 1 -- -- -- --
Load between stations -0.045489 1 -- -- --
Ambient temperature 0.762990 0.016394 1 -- --
Tyre pressure 0.798026 0.023490 0.704540 1 --
Tyre temperature 0.781882 -0.027508 0.772311 0.862969 1
As can be seen from table 1, the correlation between the tire rolling radius and the load between stations is weak, the correlation between the tire rolling radius and the ambient temperature, the tire pressure, and the tire temperature are approximately highly positively correlated, and the tire rolling radius increases as the ambient temperature, the tire pressure, and the tire temperature increase. That is, the tire rolling radius is related not only to the vehicle speed but also to the inter-station load, the tire pressure, the tire temperature, and the environmental temperature, so that the regression equation of the multiple regression model can be constructed using the vehicle speed, the inter-station load, the tire pressure, the tire temperature, and the environmental temperature as variables.
Further, the average rolling radius, the average load value between stations, the average vehicle speed, the average tire pressure value, the average tire temperature value and the average ambient temperature value of the tire determined according to the experimental data are subjected to standardized processing so as to ensure the average rolling radius of the tire and the average stationThe average rolling radius, the average rolling speed, the average rolling tire pressure, the average rolling tire temperature and the average rolling tire temperature are basically in the same magnitude, and then the average rolling radius, the average rolling tire pressure, the average rolling tire temperature and the average rolling tire temperature are input into an initial function to determine the standardized coefficient of each variable (shown in fig. 5), and then a standardized regression equation of a multiple regression model is determined according to the initial function and the determined standardized coefficient of each variable, wherein the standardized regression equation is shown in a formula (5): z is Z r =-0.023*Z zh +0.379*Z w +0.022*Z lv +0.419*Z p +0.130*Z t Formula (5), wherein Z r For standardised tyre rolling radius, Z zh For standardised inter-station load, Z w Z is the standardized ambient temperature lv For standardised vehicle speed, Z p For standardised tyre pressure, Z t Is the normalized tire temperature. And then carrying out reduction treatment on the standardized regression equation, so that before the magnitude of each variable is restored to the standardized treatment, the regression equation shown in the formula (4) can be obtained, and then the tire rolling radius standard value can be obtained according to the regression equation of the multiple regression model.
Referring to fig. 6, in some embodiments of the present invention, step S13 further includes the following steps:
s135: determining the number of tire turns based on the speed sensor data;
s137: and determining the average rolling radius of the tire according to the number of turns and the spacing between stations of the tire.
Thus, the average rolling radius of the tire of the rubber-tired tramcar when the rubber-tired tramcar runs between the current station and the last station can be obtained more accurately.
In some embodiments, the number of turns of the tire of the rubber-tyred tram may be obtained by a speed sensor of the rubber-tyred tram, which may include a ring gear, which may include 110 teeth, and the information value recorded by the speed sensor is correspondingly increased by 1 when the teeth pass through the detection point, so that the tire of the rubber-tyred tram may be determined to turn one turn each time the information value recorded by the speed sensor is increased by 110. Specifically, tire The number of turns can be calculated by formula (6):formula (6), wherein FC i+1 For the speed sensor information value corresponding to the current station-to-station time, FC i And the information value of the speed sensor corresponding to the last station-to-station time is n times of tire rotation.
The average rolling radius of the tire can be calculated by the formula (7):equation (7), wherein r is the average rolling radius of the tire, s is the station distance between the current station and the last station, and n is the number of tire rotations.
Referring to fig. 7, in some embodiments of the present invention, step S15 further includes the following steps:
s151: and calculating a difference value between the tire rolling radius standard value and the average tire rolling radius, and taking the difference value as a tire wear estimated value of the rubber-tyred tram.
Therefore, the tire wear degree can be quantized, and the tire wear degree can be visually displayed.
In one example, a tire rolling radius standard value is obtained by using the formula (4), a tire average rolling radius is obtained by using the formula (6) and the formula (7), then the tire rolling radius standard value is used for subtracting the tire average rolling radius, an absolute value is obtained for the operation result, and a value obtained after the absolute value is used as the tire wear estimated value.
Referring to fig. 8, in some embodiments of the present invention, after step S15, the method further includes the following steps:
S17: and determining that the continuous preset times of the tire wear estimated value is greater than or equal to a preset threshold value, and performing tire wear early warning.
Therefore, the abrasion degree of the tire can be judged according to the tire abrasion estimated value of the rubber-tired tramcar, and the tire abrasion early warning is automatically sent out when the tire abrasion is serious, so that the safety operation of the train is ensured, the manual detection cost is saved, and the maintenance efficiency is improved.
Specifically, after the tire wear of the rubber-tired tram is estimated, comparing the tire wear estimated value with a preset threshold value, if the tire wear estimated value is greater than or equal to the preset threshold value, marking the tire as possibly having serious wear, and if the tire is marked as possibly having serious wear continuously preset times, giving out a tire wear early warning.
The early warning content of the tire wear early warning comprises, but is not limited to, early warning content, early warning vehicle name, early warning carriage number, early warning tire number, early warning starting time, possible consequences, guiding measures and the like, so that maintenance personnel can quickly position the problem tire, and maintenance efficiency is improved.
The early warning mode of the tire wear early warning can comprise short message reminding, PC page early warning details and icon prompts, automatic generation and dispatch of an APP maintenance work order and the like, so that maintenance personnel can timely verify the tire wear and correspondingly maintain according to early warning content and work order content.
In some embodiments, the preset threshold value of the tire wear may be 11mm, and the preset number of times may be three, that is, when the estimated tire wear values obtained by three continuous calculations are all greater than or equal to 11mm, the tire wear warning is issued. It can be understood that if the estimated tire wear values obtained by two consecutive calculations are 11mm or more and the estimated tire wear value obtained by the third calculation is less than 11mm, the early warning of tire wear will not be issued even if the estimated tire wear value obtained by the fourth calculation is 11mm or more.
In certain embodiments, the tire wear estimation method of the present invention may be performed at a frequency of 1 every 2 minutes, i.e., every 2 minutes. In certain embodiments, the tire wear estimation method of the present invention is performed once every time a rubber-tyred tram arrives at a current station to estimate tire wear during travel from the previous station to the current station.
In some embodiments, the instruction codes of the tire wear estimation method of the rubber-tyred tram are edited in the R script, the R script is deployed in a server installed with an R language environment, and the R script is executed at regular time by configuring a timing task, so that the tire wear estimation method of the rubber-tyred tram is easy to implement and high in feasibility.
In addition, in some embodiments, historical data such as trolley operation data and tire wear estimated values are stored in a database, so that tracking of the tire wear history is facilitated, the tire wear level in any period of the history is also facilitated to be analyzed, and decisions can be made according to the tire wear level.
In some embodiments, the vehicle-mounted terminal of the rubber-tired tramcar packs and encrypts signals collected by each sensor and the control manager, and transmits the signals to the server for storage in real time through a 4G/5G network. And the server decrypts and analyzes the historical running data of the trolley according to a specific protocol and stores the historical running data of the trolley in a database and a table. Table 2 is a parameter information table of historical operating data of the electric car obtained from the database, please refer to table 2, and the technical scheme of the method will be further described below.
TABLE 2
Specifically, the historical running data of the electric car is stored in the database, as can be seen from table 2, the 4.0 bit of 0186 message and 0187 message can obtain door-opening train line feedback data, wherein 4.0 bit of 0186 message represents door-opening train line feedback data of left car door, 4.0 bit of 0186 message represents door-opening train line feedback data of right car door, if door-opening train line feedback data is 1, door opening is represented, 0186 message and 0187 message are provided with time stamps, and can be used for determining door-opening time of rubber-wheeled tram; current station data can be obtained from bits 5.0-6.7 of 0336 message; from the bits 7.0-8.7 of 0336 message, terminal data can be obtained, which can be used to determine direction data; from bits 1.2-1.3 of 0336, travel direction data can be obtained, which can be used to determine direction data. Thus, after door-opening train line feedback data, current station data and direction data of the rubber-tyred tram at the current station and the last station are obtained, train arrival time of the current station, arrival time of the last station and station spacing between the current station and the last station can be determined according to the door-opening train line feedback data, the current station data and the direction data, and tram operation data between the current station and the last station can be determined.
The pressure sensor 1 is arranged at the left front part of the carriage, the pressure sensor 2 is arranged at the right rear part of the carriage and is used for measuring the carriage load, the acquired data of the pressure sensor 1 can be obtained from 1.0-1.7 bits of 0313 messages between the arrival time of the current station and the arrival time of the last station, the acquired data of the pressure sensor 2 can be obtained from 2.0-2.7 bits of 0313 messages between the arrival time of the current station and the arrival time of the last station, and then the average value of the load between stations of the rubber-tyred tramcar and the last station can be obtained by utilizing the formula (1); the 5.0-6.7 bits of the 0197 message from the arrival time of the current station to the arrival time of the previous station can obtain the ambient temperature data, and then the ambient temperature average value can be calculated; 3.0-4.7 bits of the 0235 message from the arrival time of the current station to the arrival time of the previous station can obtain the vehicle speed data, and then the average vehicle speed can be calculated; the tire pressure data can be obtained from 2.0-2.7 bits of 0198 messages between the arrival time of the current station and the arrival time of the previous station, so that the tire pressure average value can be calculated; tire temperature data can be obtained from bits 3.0-3.7 of the 0198 message from the arrival time at the current station to the arrival time at the previous station, and the tire Wen Junzhi can be calculated. Further, the average load value, the average ambient temperature value, the average vehicle speed, the average tire pressure value and the tire Wen Junzhi between stations are input into a formula (4), and the tire rolling radius standard value of the rubber-tired tram at the current station can be calculated.
The 1.0-2.7 bits of the 0256 message and/or the 3.0-4.7 bits of the 0256 message between the arrival time of the current station and the arrival time of the last station can obtain the speed sensor information value corresponding to the arrival time of the current station and the speed sensor information value corresponding to the arrival time of the last station, and then the average rolling radius of the tire of the rubber-tyred tramcar running between the current station and the last station can be calculated by using the formula (6) and the formula (7). It should be noted that, the 1.0-2.7 bits of the 0256 packet at the current station-to-station time may be used as the speed sensor information value corresponding to the current station-to-station time, the 3.0-4.7 bits of the 0256 packet at the current station-to-station time may be used as the speed sensor information value corresponding to the current station-to-station time, and the average value of the 1.0-2.7 bits of the 0256 packet and the 3.0-4.7 bits of the 0256 packet at the current station-to-station time may be used as the speed sensor information value corresponding to the current station-to-station time, which is not limited herein. The method for acquiring the speed sensor information value corresponding to the last station arrival time is the same as the method for acquiring the speed sensor information value corresponding to the current station arrival time, and is not repeated for avoiding redundancy.
And finally, calculating a difference value between a tire rolling radius standard value and a tire average rolling radius, taking the difference value as a tire wear estimated value of the rubber-tired tramcar, comparing the tire wear estimated value with a tire wear threshold value of 11mm, and if the tire wear estimated value of three continuous times is more than or equal to 11mm, giving out tire wear early warning.
It is noted that the specific values mentioned above are only for the purpose of illustrating the implementation of the present invention in detail and are not to be construed as limiting the present invention. In other examples or embodiments or examples, other values may be selected according to the present invention, without specific limitation.
In order to achieve the above embodiments, the embodiments of the present invention also provide a computer-readable storage medium having stored thereon a tire wear estimation program of a rubber-tyred tram, which when executed by a processor, implements the tire wear estimation method of the rubber-tyred tram of any of the above embodiments.
According to the tire wear estimation method for the rubber-tyred tram, disclosed by the embodiment of the invention, the average rolling radius of the tire of the tram running between the current station and the last station is determined based on the station distance between the current station and the last station and the tram running data, and the standard value of the tire rolling radius is determined based on the tram running data between the current station and the last station and the preset standard model, so that the tire wear of the rubber-tyred tram can be effectively estimated according to the average rolling radius of the tire and the standard value of the tire rolling radius, and the safety operation of the rubber-tyred tram is guaranteed.
For example, when the tire wear estimation program of the rubber-tyred tram is executed by the processor, the following steps of the tire wear estimation method of the rubber-tyred tram are realized:
s11: determining the station distance between the current station and the last station and the trolley operation data;
s13: determining a tire rolling radius standard value according to the trolley operation data and a preset standard model, and determining the average rolling radius of the tire according to the trolley operation data and the station distance;
s15: and estimating the tire wear of the rubber-tyred tramcar according to the tire rolling radius standard value and the tire average rolling radius.
It should be noted that the above explanation of the embodiments and advantageous effects of the method for estimating the tire wear of a rubber-tyred tram is also applicable to the computer-readable storage medium of the present invention, and is not developed in detail here for avoiding redundancy.
In order to achieve the above embodiments, the embodiments of the present invention further provide a server, which can achieve the tire wear estimation method of the rubber-tyred tram according to any one of the embodiments. Fig. 9 is a block diagram of a server according to an embodiment of the present invention. As shown in fig. 9, the server 100 includes a memory 102, a processor 104, and a tire wear estimation program 106 of a rubber-tyred tram stored on the memory 102 and operable on the processor 104, which when executed by the processor 104, implements the tire wear estimation method of the rubber-tyred tram of any of the above embodiments.
According to the server 100 of the embodiment of the invention, the average rolling radius of the tire of the trolley which runs between the current station and the last station is determined based on the station distance between the current station and the last station and the trolley operation data, and the standard value of the rolling radius of the tire is determined based on the trolley operation data between the current station and the last station and the preset standard model, so that the tire abrasion of the trolley with rubber wheels can be effectively estimated according to the average rolling radius of the tire and the standard value of the rolling radius of the tire, thereby providing guarantee for the safe operation of the trolley with rubber wheels.
For example, when the tire wear estimation program 106 of the rubber-tyred tram is executed by the processor 104, the following steps of the tire wear estimation method of the rubber-tyred tram are implemented:
s11: determining the station distance between the current station and the last station and the trolley operation data;
s13: determining a tire rolling radius standard value according to the trolley operation data and a preset standard model, and determining the average rolling radius of the tire according to the trolley operation data and the station distance;
s15: and estimating the tire wear of the rubber-tyred tramcar according to the tire rolling radius standard value and the tire average rolling radius.
It should be noted that the above explanation of the embodiments and advantageous effects of the method for estimating the tire wear of a rubber-tyred tram is also applicable to the server 100 of the present invention, and is not developed in detail here to avoid redundancy.
In order to achieve the above embodiments, the embodiments of the present invention further provide a tire wear estimation device for a rubber-tyred tram, where the tire wear estimation device for a rubber-tyred tram can achieve the tire wear estimation method for a rubber-tyred tram of any one of the embodiments above. Fig. 10 is a block diagram of a tire wear estimating apparatus of a rubber-tyred tram according to one embodiment of the present invention. As shown in fig. 10, the tire wear estimation device 300 of the rubber-tyred tram includes a determination module 302, a calculation module 304, and an estimation module 306. The determining module 302 is used for determining the station distance and trolley operation data between the current station and the last station; the calculation module 304 is used for determining a tire rolling radius standard value according to the trolley operation data and a preset standard model, and determining a tire average rolling radius according to the trolley operation data and the station distance; the estimation module 306 is configured to estimate tire wear of the rubber-tyred tram based on the tire rolling radius standard value and the tire average rolling radius.
According to the tire wear estimation device 300 of the rubber-tyred tram, the average rolling radius of the tire of the tram running between the current station and the last station is determined based on the station distance between the current station and the last station and the tram running data, and the standard value of the tire rolling radius is determined based on the tram running data between the current station and the last station and the preset standard model, so that the tire wear of the rubber-tyred tram can be effectively estimated according to the average rolling radius of the tire and the standard value of the tire rolling radius, and the safety operation of the rubber-tyred tram is guaranteed.
In some embodiments of the present invention, the determining module 302 further includes a first determining unit and a second determining unit, where the first determining unit is configured to determine, according to the door-open train line feedback data, the current station data, and the direction data, a station arrival time of the current station, a station arrival time of a previous station, and a station spacing between the current station and the previous station; the second determining unit is used for determining trolley operation data according to the arrival time of the current station and the arrival time of the last station.
In some embodiments of the present invention, the calculation module 304 further includes a third determining unit and an obtaining unit, where the third determining unit is configured to determine, according to the trolley operation data, an inter-station load average value, an average vehicle speed, a tire pressure average value, a tire temperature average value, and an ambient temperature average value; the acquisition unit is used for inputting the load average value, the average vehicle speed, the tire pressure average value, the tire temperature average value and the ambient temperature average value among stations into a preset standard model to obtain a tire rolling radius standard value.
In some embodiments of the present invention, the third determining unit further includes a first calculating subunit, a second calculating subunit, a third calculating subunit, a fourth calculating subunit, and a fifth calculating subunit, where the first calculating subunit is configured to calculate an inter-station load average according to the pressure sensor data; the second calculating subunit is used for calculating the average vehicle speed according to the vehicle speed data; the third calculation subunit is used for calculating the tire pressure average value according to the tire pressure data; the fourth calculation subunit is configured to calculate a tire Wen Junzhi according to the tire temperature data; the fifth calculating subunit is used for calculating the ambient temperature mean value according to the ambient temperature data.
In some embodiments of the invention, the predetermined standard model comprises a multiple regression modelThe regression equation of the model is: wherein ,The tire rolling radius standard value is that zh is an inter-station load average value, w is an ambient temperature average value, lv is an average speed, p is a tire pressure average value, and t is a tire Wen Junzhi.
In some embodiments of the present invention, the computing module 304 further includes a fourth determining unit for determining the number of tire revolutions from the speed sensor data and a fifth determining unit; the fifth determining unit is used for determining the average rolling radius of the tire according to the rotation number of the tire and the station spacing.
In some embodiments of the present invention, the estimation module 306 is further configured to calculate a difference between the tire rolling radius standard value and the average rolling radius of the tire, and use the difference as the tire wear estimation value of the rubber-tyred tram.
In some embodiments of the present invention, the tire wear estimation device 300 of the rubber-tyred tram further includes an early warning module, where the early warning module is configured to determine that the tire wear estimation value is continuously preset for a number of times equal to or greater than a preset threshold value after taking the difference value as the tire wear estimation value of the rubber-tyred tram, and perform tire wear early warning.
It should be noted that the above explanation of the embodiments and advantageous effects of the tire wear estimation method of the rubber-tyred tram is also applicable to the tire wear estimation device 300 of the rubber-tyred tram of the present invention, and is not developed in detail herein to avoid redundancy.
It will be appreciated by those skilled in the art that embodiments of the present invention may be provided as a method, system, or computer program product. Accordingly, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present invention may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present invention is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems) and computer program products according to embodiments of the invention. It will be understood that each flow and/or block of the flowchart illustrations and/or block diagrams, and combinations of flows and/or blocks in the flowchart illustrations and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
In the description of the present specification, a description referring to terms "one embodiment," "some embodiments," "examples," "specific examples," or "some examples," etc., means that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the present invention. In this specification, schematic representations of the above terms do not necessarily refer to the same embodiments or examples. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.
Furthermore, the terms "first," "second," and the like, as used in embodiments of the present invention, are used for descriptive purposes only and are not to be construed as indicating or implying relative importance or as implying any particular number of features in the present embodiment. Thus, a feature of an embodiment of the invention that is defined by terms such as "first," "second," etc., may explicitly or implicitly indicate that at least one such feature is included in the embodiment. In the description of the present invention, the word "plurality" means at least two or more, for example, two, three, four, etc., unless explicitly defined otherwise in the embodiments.
It should be noted that the technical features of the above embodiments may be arbitrarily combined, and all possible combinations of the technical features in the above embodiments are not described for brevity of description, however, as long as there is no contradiction between the combinations of the technical features, they should be considered as the scope of the description of the present specification.
While embodiments of the present invention have been shown and described above, it will be understood that the above embodiments are illustrative and not to be construed as limiting the invention, and that variations, modifications, alternatives and variations may be made to the above embodiments by one of ordinary skill in the art within the scope of the invention.

Claims (11)

1. A method for estimating tire wear of a rubber-tyred tram, comprising:
determining the station distance between the current station and the last station and the trolley operation data;
determining a tire rolling radius standard value according to the trolley operation data and a preset standard model, and determining a tire average rolling radius according to the trolley operation data and the station distance;
and estimating the tire wear of the rubber-tyred tram according to the tire rolling radius standard value and the average tire rolling radius.
2. The method of claim 1, wherein the determining the inter-station distance and trolley operation data between the current station and the previous station comprises:
determining the arrival time of a current station, the arrival time of a last station and the station spacing between the current station and the last station according to the door-opening train line feedback data, the current station data and the direction data;
and determining the trolley operation data according to the arrival time of the current station and the arrival time of the last station.
3. The method according to claim 1, wherein said determining a tire rolling radius standard value from the trolley operation data and a preset standard model comprises:
Determining an inter-station load average value, an average vehicle speed, a tire pressure average value, a tire temperature average value and an environmental temperature average value according to the trolley operation data;
and inputting the inter-station load average value, the average vehicle speed, the tire pressure average value, the tire temperature average value and the environment temperature average value into the preset standard model to obtain the tire rolling radius standard value.
4. A method according to claim 3, wherein said determining an inter-station load average, an average vehicle speed, a tire pressure average, a tire temperature average and an ambient temperature average from said trolley operation data comprises:
calculating the load average value between stations according to the data of the pressure sensor;
calculating the average vehicle speed according to the vehicle speed data;
calculating the tire pressure average value according to the tire pressure data;
calculating the tire Wen Junzhi from tire temperature data;
and calculating the average value of the environmental temperature according to the data of the environmental temperature.
5. A method according to claim 3, wherein the pre-set standard model comprises a multiple regression model having the regression equation:
wherein ,the tire rolling radius standard value is that zh is an inter-station load average value, w is an ambient temperature average value, lv is an average vehicle speed, p is a tire pressure average value, and t is a tire Wen Junzhi.
6. The method of claim 1, wherein said determining a tire average rolling radius from said trolley operating data and said inter-station distance comprises:
determining the number of tire turns based on the speed sensor data;
and determining the average rolling radius of the tire according to the number of turns of the tire and the inter-station distance.
7. The method according to any one of claims 1-6, wherein said estimating the tire wear of the rubber-tyred tram based on the tire rolling radius standard value and the tire average rolling radius comprises:
and calculating a difference value between the tire rolling radius standard value and the average tire rolling radius, and taking the difference value as a tire wear estimated value of the rubber-tyred tram.
8. The method of claim 7, wherein after taking the difference as the tire wear estimate for the rubber-tyred tram, the method further comprises:
and determining that the continuous preset times of the tire wear estimated value is greater than or equal to a preset threshold value, and performing tire wear early warning.
9. A computer-readable storage medium, characterized in that a tire wear estimation program of a rubber-tyred tram is stored thereon, which when executed by a processor implements the tire wear estimation method of a rubber-tyred tram according to any one of claims 1-8.
10. A server comprising a memory, a processor and a tire wear estimation program of a rubber-tyred tram stored on the memory and operable on the processor, the processor implementing the tire wear estimation method of a rubber-tyred tram of any one of claims 1-8 when executing the tire wear estimation program of a rubber-tyred tram.
11. A tire wear estimation device for a rubber-tyred tram, comprising:
the determining module is used for determining the station distance between the current station and the last station and the trolley operation data;
the calculation module is used for determining a tire rolling radius standard value according to the trolley operation data and a preset standard model, and determining a tire average rolling radius according to the trolley operation data and the station distance;
and the estimation module is used for estimating the tire wear of the rubber-tired tram according to the tire rolling radius standard value and the tire average rolling radius.
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Citations (9)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US1969088A (en) * 1932-08-15 1934-08-07 Gen Tire & Rubber Co Vehicle tire
KR100866613B1 (en) * 2007-09-12 2008-11-03 주식회사 포스콘 Train wheel automatic setting device and method
EP2161144A2 (en) * 2008-09-02 2010-03-10 National University of Ireland, Maynooth A method of determining the tire conditions of a vehicle
CN105829185A (en) * 2013-12-18 2016-08-03 米其林集团总公司 Steering spline telescoping shaft, and steering device
US20170129498A1 (en) * 2015-11-11 2017-05-11 The Goodyear Tire & Rubber Company Tire sensor-based robust mileage tracking system and method
CN107107746A (en) * 2014-12-23 2017-08-29 沃尔沃卡车集团 Method and device for tandem or multi-axle drive of a vehicle
CN107631830A (en) * 2016-07-18 2018-01-26 Pi自动化系统公司 The measuring method of the blowing pressure of the tire of assembling vehicle on the move on runway
CN207128902U (en) * 2017-07-21 2018-03-23 汕头比亚迪实业有限公司 A kind of bogie and there is its rail vehicle and Rail Transit System
CN109313105A (en) * 2016-06-09 2019-02-05 株式会社普利司通 Tire Deterioration State Prediction Method

Patent Citations (9)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US1969088A (en) * 1932-08-15 1934-08-07 Gen Tire & Rubber Co Vehicle tire
KR100866613B1 (en) * 2007-09-12 2008-11-03 주식회사 포스콘 Train wheel automatic setting device and method
EP2161144A2 (en) * 2008-09-02 2010-03-10 National University of Ireland, Maynooth A method of determining the tire conditions of a vehicle
CN105829185A (en) * 2013-12-18 2016-08-03 米其林集团总公司 Steering spline telescoping shaft, and steering device
CN107107746A (en) * 2014-12-23 2017-08-29 沃尔沃卡车集团 Method and device for tandem or multi-axle drive of a vehicle
US20170129498A1 (en) * 2015-11-11 2017-05-11 The Goodyear Tire & Rubber Company Tire sensor-based robust mileage tracking system and method
CN109313105A (en) * 2016-06-09 2019-02-05 株式会社普利司通 Tire Deterioration State Prediction Method
CN107631830A (en) * 2016-07-18 2018-01-26 Pi自动化系统公司 The measuring method of the blowing pressure of the tire of assembling vehicle on the move on runway
CN207128902U (en) * 2017-07-21 2018-03-23 汕头比亚迪实业有限公司 A kind of bogie and there is its rail vehicle and Rail Transit System

Non-Patent Citations (3)

* Cited by examiner, † Cited by third party
Title
JIANG, YONGZHI .ETC: "Prediction of wheel wear of different types of articulated monorail based on co-simulation of MATLAB and UM software", ADVANCES IN MECHANICAL ENGINEERING, vol. 11, no. 6, 1 June 2019 (2019-06-01) *
吴昕慧;蔡煊;陶汉卿;: "基于多传感器的列车里程计定位误差检测及校正方法", 城市轨道交通研究, no. 05, 10 May 2016 (2016-05-10), pages 29 - 35 *
李云川: "基于支持向量机的跨座式单轨车辆走行轮偏磨预测研究", 硕士电子期刊, 15 May 2017 (2017-05-15) *

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