Provided is a technique of quantifying a change in irregularity appearing in an acceleration signal of a tire and measuring a tread wear amount of the tire using the quantified change. A tire wear measuring apparatus according to an embodiment of the present disclosure includes: a signal receiver configured to measure an acceleration inside a tire with respect to an axial direction, which is a radial direction of the tire, at a plurality of points inside the tire; a broad pass filter configured to receive a measured acceleration signal from the signal receiver and perform filtering as a preprocessing on the acceleration signal to generate a processed signal; a signal analyzer configured to estimate a tread wear rate of the tire by quantifying an irregularity of the acceleration signal using the processed signal that is a signal filtered through the broad pass filter; a transmitter configured to receive analysis information, which is information on the tread wear rate of the tire, from the signal analyzer and transmit the analysis information; and a control module configured to receive the analysis information from the transmitter and generate a control signal for a vehicle on which the tire is installed.

Provided is a technology of estimating a bending stiffness variation of a tire and estimating a tread wear amount of a tire using the same. A tire wear measuring apparatus wear includes a signal receiver configured to measure acceleration inside the tire with respect to an axial direction, which is a radial direction of the tire, for each point inside the tire, a signal analyzer configured to receive signal information from the signal receiver and estimate a tread wear rate of the tire by calculating a bending stiffness variation rate of the tire using axial acceleration inside the tire, a transmitter configured to receive and transmit analysis information, which is information on the tread wear rate of the tire, from the signal analyzer, and a control module configured to receive the analysis information from the transmitter and generate a control signal for a vehicle to which the tire is installed. Meanwhile, a physical change thereof is derived using a Flexible Ring tire model which is a mathematical model.

A tire monitoring system may include first and second sensor elements, a circuit board, and a housing. The circuit board includes control circuitry coupled with at least one of the first and second sensor elements, wherein the control circuitry is configured to generate tire tread information based on an electrical response of at least one of the first and second sensor elements. The housing includes a housing material that surrounds the circuit board in a direction parallel with respect to a surface of the circuit board. Related methods are also discussed.

A tire wear tracking system including network interface hardware configured to communicatively couple a vehicle with a remote server, a processor, and a memory module that stores one or more processor-readable instructions. When executed by the processor, the one or more processor-readable instructions cause the tire wear tracking system to receive image data of one or more tires of a vehicle from one or more image sensors, determine tire information associated with the one or more tires, retrieve reference image data based on the determined tire information, compare the received image data with the retrieved reference image data; and generate an alert based on the comparison between the received image data and the retrieved reference image data.

An automated tread analysis system and methods for using are described. The automated tread analysis system may include a sensing system having a plurality of cameras providing a plurality of sequential two-dimensional images. The automated tread analysis system may also include an analysis system configured to provide at least one surface model of a first object via photogrammetry using the plurality of sequential two-dimensional images. The automated tread system may execute processing software reading data corresponding to the at least one surface model of the first object. The surface model may correspond to a current condition of the first object. The processing software executed by the user system may analyze the at least one surface model of the first object and provide at least one indicative wear metric based on the analysis of the surface model of the first object.

A system for providing tire change information is provided. The system includes a processor, and a memory module storing one or more processor-readable instructions that when executed by the processor cause the processor to: determine a number of vehicles within a first region that requested a tire change, determine whether the number of vehicles is greater than a first threshold number, and provide information about a first tire change group discount to the vehicles that requested the tire change in response to determining that the number of vehicles is greater than the first threshold number.

Provided is a technique for measuring a wear rate of a tire tread using tendency of a peak value of acceleration of the tire. According to an embodiment of the present disclosure, a tire wear measuring apparatus includes: a signal receiver configured to measure acceleration inside the tire installed to a the vehicle for each point inside the tire; a signal analyzer configured to receive signal information from the signal receiver and estimate a tread wear rate of the tire using a peak value of acceleration in longitudinal direction perpendicular to an axial direction of the tire from among acceleration signals inside the tire; a transmitter configured to receive analysis information, which is information on the tread wear rate of the tire, from the signal analyzer and transmit the analysis information; and a control module configured to receive the analysis information from the transmitter and generate a control signal for the vehicle to which the tire is installed. A physical change thereof is verified using a Flexible Ring tire model which is a mathematical model.

A tire information detection device that detects tire information including at least one of wear, deformation, road surface state, ground contact state, presence/absence of failure, travel history, load state, or frictional coefficient, includes at least one detection unit disposed on a tire inner surface, a power supply unit to supply power to the detection unit, a position information detection unit to detect position information of the tire or a vehicle, an additional information acquisition unit to acquire additional information associated with the position information, a determination unit to determine whether a current position specified based on the position information is included in an area that satisfies a determination condition extracted from the additional information, and a control unit to control measurement of the detection unit based on a determination result from the determination unit.

A tire, comprising a module and a receptacle connected to an inner surface of the tire. Therein, the receptacle comprises wall(s), which wall(s) limit(s) openings comprising at least a first opening and a second opening. Therein, part of the module extends through at least the second opening such that the wall(s) of the receptacle laterally surround(s) only a first part of the module such that at least a second part of the module is arranged outside the receptacle.

A method for extracting changes in characteristics of a tire supporting a vehicle is provided. The method includes extracting selected tire characteristics from at least one sensor mounted on the tire. The selected tire characteristics are transmitted to a remote processor and are stored in a historical data log that is in communication with the remote processor. At least one tire characteristic of interest is selected, and a time series decomposition model is applied to data from the historical data log to delineate exogenous inputs from an underlying trend in the selected tire characteristic of interest. A learning model is applied to the underlying trend in the selected tire characteristic of interest to model a relationship between the selected tire characteristic of interest and a condition of the tire. A prediction value for a condition of the tire is output from the learning model.