WO2022075053A1 - タイヤ情報検知装置 - Google Patents

タイヤ情報検知装置 Download PDF

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Publication number
WO2022075053A1
WO2022075053A1 PCT/JP2021/034525 JP2021034525W WO2022075053A1 WO 2022075053 A1 WO2022075053 A1 WO 2022075053A1 JP 2021034525 W JP2021034525 W JP 2021034525W WO 2022075053 A1 WO2022075053 A1 WO 2022075053A1
Authority
WO
WIPO (PCT)
Prior art keywords
tire
unit
information
detection unit
measurement
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Ceased
Application number
PCT/JP2021/034525
Other languages
English (en)
French (fr)
Japanese (ja)
Inventor
雅公 成瀬
淳 松田
平四郎 不藤
英司 篠原
真哉 市瀬
真一 瀬尾
裕樹 大野
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Yokohama Rubber Co Ltd
Alps Alpine Co Ltd
Original Assignee
Yokohama Rubber Co Ltd
Alps Alpine Co Ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Yokohama Rubber Co Ltd, Alps Alpine Co Ltd filed Critical Yokohama Rubber Co Ltd
Priority to JP2022555344A priority Critical patent/JP7766229B2/ja
Priority to US18/247,694 priority patent/US20230406046A1/en
Priority to DE112021003824.9T priority patent/DE112021003824B4/de
Priority to CN202180066405.3A priority patent/CN116438087A/zh
Publication of WO2022075053A1 publication Critical patent/WO2022075053A1/ja
Anticipated expiration legal-status Critical
Ceased legal-status Critical Current

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Classifications

    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01M—TESTING STATIC OR DYNAMIC BALANCE OF MACHINES OR STRUCTURES; TESTING OF STRUCTURES OR APPARATUS, NOT OTHERWISE PROVIDED FOR
    • G01M17/00—Testing of vehicles
    • G01M17/007—Wheeled or endless-tracked vehicles
    • G01M17/02—Tyres
    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B60—VEHICLES IN GENERAL
    • B60C—VEHICLE TYRES; TYRE INFLATION; TYRE CHANGING; CONNECTING VALVES TO INFLATABLE ELASTIC BODIES IN GENERAL; DEVICES OR ARRANGEMENTS RELATED TO TYRES
    • B60C11/00—Tyre tread bands; Tread patterns; Anti-skid inserts
    • B60C11/24—Wear-indicating arrangements
    • B60C11/243—Tread wear sensors, e.g. electronic sensors
    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B60—VEHICLES IN GENERAL
    • B60C—VEHICLE TYRES; TYRE INFLATION; TYRE CHANGING; CONNECTING VALVES TO INFLATABLE ELASTIC BODIES IN GENERAL; DEVICES OR ARRANGEMENTS RELATED TO TYRES
    • B60C11/00—Tyre tread bands; Tread patterns; Anti-skid inserts
    • B60C11/24—Wear-indicating arrangements
    • B60C11/246—Tread wear monitoring systems
    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B60—VEHICLES IN GENERAL
    • B60C—VEHICLE TYRES; TYRE INFLATION; TYRE CHANGING; CONNECTING VALVES TO INFLATABLE ELASTIC BODIES IN GENERAL; DEVICES OR ARRANGEMENTS RELATED TO TYRES
    • B60C19/00—Tyre parts or constructions not otherwise provided for
    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B60—VEHICLES IN GENERAL
    • B60C—VEHICLE TYRES; TYRE INFLATION; TYRE CHANGING; CONNECTING VALVES TO INFLATABLE ELASTIC BODIES IN GENERAL; DEVICES OR ARRANGEMENTS RELATED TO TYRES
    • B60C19/00—Tyre parts or constructions not otherwise provided for
    • B60C2019/004—Tyre sensors other than for detecting tyre pressure

Definitions

  • the present invention relates to a tire information detection device, and more specifically, the tire information can be obtained in a timely manner while reducing the measurement frequency of the detection unit (sensor) installed on the tire as much as possible to prolong the life of the power supply unit.
  • the tire information detection device that enables detection in the right place.
  • the tire information detection device of the present invention since the tire information detection device of the present invention has a trigger function for arousing the measurement of the detection unit, it is possible to perform the measurement at the right time and at the right place instead of the constant measurement, and the measurement frequency of the detection unit is possible. It can be reduced and the power consumption can be reduced. As a result, tire information can be detected in a timely and appropriate place while extending the life of the power supply unit.
  • It has an accident occurrence risk calculation unit that calculates the accident occurrence risk index value for each region based on the number of accident occurrences included in the additional information, and the judgment unit controls the accident occurrence risk index value for each region as a judgment condition. It is preferable that the unit controls the measurement of the detection unit based on the index value of the accident occurrence risk in the area including the current position. This leads to a reduction in the risk of accidents while extending the life of the power supply unit, so that safety can be improved.
  • the detection unit 11 is not particularly limited, but is, for example, a voltage detection unit (potential sensor) that detects a potential difference in an element that generates a voltage based on deformation of the tread portion during tire rotation, a vehicle speed, or a tire.
  • a speed detection unit (speed sensor) for detecting the rotational speed of the tire, an air pressure detection unit (pressure sensor) for detecting the internal pressure of the tire, and a temperature detection unit (temperature sensor) for detecting the internal temperature of the tire can be appropriately included.
  • the detection unit 11 includes a transmitter for transmitting data to the outside. The data detected by the detection unit 11 is recorded in the recording unit 18.
  • the determination unit 15 uses the image match rate as a determination condition, and the control unit 16 determines the image match rate based on the image match rate in the area including the current position. Control the measurement of. Specifically, the control unit 16 controls the detection unit 11 to perform measurement when the matching rate of the images is low (for example, when the matching rate is 65% or less).
  • the control unit 16 controls the detection unit 11 to start the measurement when the danger avoidance behavior information is recorded in the danger avoidance behavior recording unit 18b.
  • the measurement frequency of the detection unit 11 is relatively low, and when the detection target is the road surface state, the measurement frequency of the detection unit 11 is relatively high, and the detection is performed.
  • the measurement frequency of the detection unit 11 is appropriately changed as required.
  • the detection unit 11 When the specified current position is included in the area that matches the determination condition extracted from the additional information, the detection unit 11 is configured to perform the measurement. That is, since the tire information detection device of the present invention has a trigger function for evoking the measurement of the detection unit 11, it is possible to perform the measurement at a timely and appropriate place instead of the constant measurement, and the measurement frequency of the detection unit 11. Can be reduced as much as possible and power consumption can be reduced. As a result, tire information can be detected in a timely and appropriate place while extending the life of the power supply unit 12.
  • the tire information detection device has an image comparison calculation unit 17c that calculates a matching rate of images by comparing a pre-recorded peripheral image of a vehicle included in additional information with an image during traveling, and is a determination unit. It is preferable that 15 uses the image matching rate as a determination condition, and the control unit 16 controls the measurement of the detection unit 11 based on the image matching rate in the area including the current position. Even if the current position is not included in the accident-prone area, if the image matching rate does not meet the predetermined value, the detection unit 11 controls to perform measurement, which leads to a reduction in the risk of accident occurrence. It can increase safety.
  • the determination unit 15 has a measurement history recording unit 18a that records the measurement history of the detection unit 11 at the current position specified based on the position information, the determination unit 15 determines the presence or absence of the measurement history of the detection unit 11, and the control unit 16 determines. It is preferable to control the measurement of the detection unit 11 based on the presence or absence of the measurement history of the detection unit 11 in the area including the current position. For example, when traveling at an intersection where a vehicle enters for the first time, even if the intersection does not correspond to an accident-prone area, the detection unit 11 controls to perform measurement, which leads to a reduction in the risk of accident occurrence. Can be enhanced.
  • the tire information includes tire wear
  • the determination unit 15 uses the information related to tire wear included in the additional information as a determination condition until the tire rotation speed reaches 10 rotations or more. It is preferable that the measurement by the detection unit 11 is repeated. Although it is possible to determine the degree of tire wear progress even if the tire rotation speed is measured for one rotation, the tire rotation speed is preferably 30 rotations or more, more preferably 50 rotations, in particular from the viewpoint of improving the determination accuracy. It is preferable that the rotation speed or more, most preferably 100 rotations or more. At that time, the measurement by the detection unit 11 may be performed continuously or intermittently over a plurality of days.
  • a machine learning model may be used, and in that case, the determination accuracy can be improved.
  • known machine learning models such as decision tree, random forest, logistic regression, support vector machine (SVM), naive Bayes classifier, k-nearest neighbor method, AdaBoost, and neural network can be used.
  • the determination unit 15 has at least two determination conditions, and by properly using at least two determination conditions according to the tire information to be detected, the life of the power supply unit 12 can be extended and the tire in a timely and appropriate place can be used. Information detection can be achieved at the same time.
  • the tire T includes a tread portion 1 extending in the tire circumferential direction to form an annular shape, a pair of sidewall portions 2 and 2 arranged on both sides of the tread portion 1, and these sidewalls.
  • a pair of bead portions 3 and 3 arranged inside the tire radial direction of the portion 2 are provided.
  • a tire information detection device 10 is attached to the inner surface Ts of the tire.
  • the tire information detection device 10 constitutes one sensor module.
  • the tire information detection device 10 includes components including a detection unit 11, a power supply unit 12, a position information detection unit 13, an additional information acquisition unit 14, a determination unit 15, a control unit 16, and the like inside a housing having a hollow structure. It is mounted and fixed to the inner surface Ts of the tire via the housing.

Landscapes

  • Engineering & Computer Science (AREA)
  • Mechanical Engineering (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Tires In General (AREA)
PCT/JP2021/034525 2020-10-08 2021-09-21 タイヤ情報検知装置 Ceased WO2022075053A1 (ja)

Priority Applications (4)

Application Number Priority Date Filing Date Title
JP2022555344A JP7766229B2 (ja) 2020-10-08 2021-09-21 タイヤ情報検知装置
US18/247,694 US20230406046A1 (en) 2020-10-08 2021-09-21 Tire information detection device
DE112021003824.9T DE112021003824B4 (de) 2020-10-08 2021-09-21 Reifeninformationserfassungsvorrichtung
CN202180066405.3A CN116438087A (zh) 2020-10-08 2021-09-21 轮胎信息检知装置

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
JP2020170401 2020-10-08
JP2020-170401 2020-10-08

Publications (1)

Publication Number Publication Date
WO2022075053A1 true WO2022075053A1 (ja) 2022-04-14

Family

ID=81126723

Family Applications (1)

Application Number Title Priority Date Filing Date
PCT/JP2021/034525 Ceased WO2022075053A1 (ja) 2020-10-08 2021-09-21 タイヤ情報検知装置

Country Status (5)

Country Link
US (1) US20230406046A1 (https=)
JP (1) JP7766229B2 (https=)
CN (1) CN116438087A (https=)
DE (1) DE112021003824B4 (https=)
WO (1) WO2022075053A1 (https=)

Families Citing this family (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN118603601A (zh) * 2024-05-13 2024-09-06 重庆赛力斯凤凰智创科技有限公司 一种轮胎检测的方法、装置、电子设备及可读存储介质

Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2011080947A (ja) * 2009-10-09 2011-04-21 Aisin Aw Co Ltd タイヤ空気圧測定装置、方法およびプログラム
JP2011201404A (ja) * 2010-03-25 2011-10-13 Denso It Laboratory Inc 車両特性情報推定装置及びそれを用いた警告装置
JP2015160539A (ja) * 2014-02-27 2015-09-07 住友ゴム工業株式会社 タイヤ状態判定装置、サーバ装置、タイヤ状態判定方法、およびタイヤ状態判定プログラム
JP2017049683A (ja) * 2015-08-31 2017-03-09 ルネサスエレクトロニクス株式会社 運転記録装置、運転特性を判定するためのシステムおよび運転特性を判定するためのデータを出力するための方法
JP2019127253A (ja) * 2018-01-19 2019-08-01 株式会社デンソー タイヤシステム
WO2020122189A1 (ja) * 2018-12-13 2020-06-18 株式会社Ｓｏｋｅｎ タイヤ摩耗検知装置

Family Cites Families (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
KR100497112B1 (ko) * 2002-10-24 2005-06-28 씨트론 주식회사 타이어 상태 감시 장치
JP5072463B2 (ja) 2007-07-11 2012-11-14 株式会社ブリヂストン タイヤの摩耗検知方法及びタイヤの摩耗検知装置
JP5218445B2 (ja) * 2010-02-12 2013-06-26 トヨタ自動車株式会社 タイヤ状態判定装置
WO2016208056A1 (ja) * 2015-06-26 2016-12-29 太平洋工業 株式会社 タイヤ状態検出装置、及び、タイヤ状態監視装置
JP2018009974A (ja) * 2016-07-01 2018-01-18 株式会社デンソー タイヤマウントセンサおよびそれを含む路面状態推定装置
CN107161097B (zh) * 2017-04-06 2019-09-10 南京航空航天大学 基于北斗导航系统的车辆行驶智能安全系统
JP6624152B2 (ja) * 2017-04-26 2019-12-25 株式会社Ｓｏｋｅｎ タイヤ側装置およびそれを含むタイヤ装置
JP6777103B2 (ja) * 2018-01-19 2020-10-28 株式会社Ｓｏｋｅｎ 路面状態判別装置およびそれを含むタイヤシステム

Patent Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2011080947A (ja) * 2009-10-09 2011-04-21 Aisin Aw Co Ltd タイヤ空気圧測定装置、方法およびプログラム
JP2011201404A (ja) * 2010-03-25 2011-10-13 Denso It Laboratory Inc 車両特性情報推定装置及びそれを用いた警告装置
JP2015160539A (ja) * 2014-02-27 2015-09-07 住友ゴム工業株式会社 タイヤ状態判定装置、サーバ装置、タイヤ状態判定方法、およびタイヤ状態判定プログラム
JP2017049683A (ja) * 2015-08-31 2017-03-09 ルネサスエレクトロニクス株式会社 運転記録装置、運転特性を判定するためのシステムおよび運転特性を判定するためのデータを出力するための方法
JP2019127253A (ja) * 2018-01-19 2019-08-01 株式会社デンソー タイヤシステム
WO2020122189A1 (ja) * 2018-12-13 2020-06-18 株式会社Ｓｏｋｅｎ タイヤ摩耗検知装置

Also Published As

Publication number Publication date
CN116438087A (zh) 2023-07-14
JP7766229B2 (ja) 2025-11-10
JPWO2022075053A1 (https=) 2022-04-14
DE112021003824T5 (de) 2023-05-11
DE112021003824B4 (de) 2026-04-30
US20230406046A1 (en) 2023-12-21

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