CN110962512A - Intelligent monitoring system for automobile tire - Google Patents
Intelligent monitoring system for automobile tire Download PDFInfo
- Publication number
- CN110962512A CN110962512A CN201911341576.3A CN201911341576A CN110962512A CN 110962512 A CN110962512 A CN 110962512A CN 201911341576 A CN201911341576 A CN 201911341576A CN 110962512 A CN110962512 A CN 110962512A
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- Prior art keywords
- tire
- intelligent
- stress
- strain
- sensor
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- 238000012544 monitoring process Methods 0.000 title claims abstract description 23
- 230000036962 time dependent Effects 0.000 claims description 3
- 239000000463 material Substances 0.000 description 4
- 230000007774 longterm Effects 0.000 description 3
- 230000002035 prolonged effect Effects 0.000 description 2
- 238000005299 abrasion Methods 0.000 description 1
- 230000003044 adaptive effect Effects 0.000 description 1
- 239000002131 composite material Substances 0.000 description 1
- 230000007423 decrease Effects 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 238000009434 installation Methods 0.000 description 1
- 238000012423 maintenance Methods 0.000 description 1
- 238000000034 method Methods 0.000 description 1
- 238000010248 power generation Methods 0.000 description 1
- 239000004576 sand Substances 0.000 description 1
Images
Classifications
-
- 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
- B60C23/00—Devices for measuring, signalling, controlling, or distributing tyre pressure or temperature, specially adapted for mounting on vehicles; Arrangement of tyre inflating devices on vehicles, e.g. of pumps or of tanks; Tyre cooling arrangements
- B60C23/02—Signalling devices actuated by tyre pressure
- B60C23/04—Signalling devices actuated by tyre pressure mounted on the wheel or tyre
- B60C23/0408—Signalling devices actuated by tyre pressure mounted on the wheel or tyre transmitting the signals by non-mechanical means from the wheel or tyre to a vehicle body mounted receiver
- B60C23/0422—Signalling devices actuated by tyre pressure mounted on the wheel or tyre transmitting the signals by non-mechanical means from the wheel or tyre to a vehicle body mounted receiver characterised by the type of signal transmission means
- B60C23/0433—Radio signals
-
- 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
- B60C23/00—Devices for measuring, signalling, controlling, or distributing tyre pressure or temperature, specially adapted for mounting on vehicles; Arrangement of tyre inflating devices on vehicles, e.g. of pumps or of tanks; Tyre cooling arrangements
- B60C23/06—Signalling devices actuated by deformation of the tyre, e.g. tyre mounted deformation sensors or indirect determination of tyre deformation based on wheel speed, wheel-centre to ground distance or inclination of wheel axle
- B60C23/064—Signalling devices actuated by deformation of the tyre, e.g. tyre mounted deformation sensors or indirect determination of tyre deformation based on wheel speed, wheel-centre to ground distance or inclination of wheel axle comprising tyre mounted deformation sensors, e.g. to determine road contact area
Landscapes
- Engineering & Computer Science (AREA)
- Mechanical Engineering (AREA)
- Tires In General (AREA)
Abstract
The invention relates to an intelligent monitoring system for automobile tires, comprising: the stress sensors and the strain sensors are arranged in the rubber body of the automobile tire and are respectively used for acquiring pressure and deformation data of the tire; the wireless transmitting device is electrically connected with the stress sensor and the strain sensor and is used for transmitting data collected by the stress sensor and the strain sensor; the intelligent tire performance monitoring system comprises a wireless receiving device and an intelligent system, wherein the wireless receiving device is integrated in an automobile running computer and used for receiving data, collected by the stress sensor and the strain sensor, sent by the wireless transmitting device, and the intelligent system is used for judging tire performance change according to the data collected by the stress sensor and the strain sensor. The intelligent tire monitoring system can intelligently monitor the use state of the tire, avoid the repair of the damaged tire, prolong the service life of the tire and ensure that the vehicle runs more safely.
Description
Technical Field
The invention relates to the technical field of automobiles, in particular to an intelligent monitoring system for automobile tires.
Background
At present, the automobile industry is rapidly developed, and the automobile industry has important influence on the life of people. The automobile tire is closely related to safe driving of an automobile, but the current automobile tire research direction mainly focuses on the aspects of improving tire materials, increasing anti-skid and anti-wear performance, airless tires, automatic pressurization tires and the like, and when the tire is used for a certain time, the difficulty is difficult to judge how the tire reaches a damage state or which aspect of the tire has a problem. At present, the use state of the tire is generally judged through the phenomena of the abrasion degree of the tire pattern, the damage of the other appearance and the like, and no quantitative judgment standard exists.
Disclosure of Invention
The invention aims to solve the technical problem of providing an intelligent monitoring system for an automobile tire, which can intelligently monitor the performance state of the tire.
In order to solve the above technical problem, the present invention provides an intelligent monitoring system for an automobile tire, comprising:
the stress sensors and the strain sensors are arranged in the rubber body of the automobile tire and are respectively used for acquiring pressure and deformation data of the tire;
the wireless transmitting device is electrically connected with the stress sensor and the strain sensor and is used for transmitting data collected by the stress sensor and the strain sensor;
the intelligent tire performance monitoring system comprises a wireless receiving device and an intelligent system, wherein the wireless receiving device is integrated in an automobile running computer and used for receiving data, collected by the stress sensor and the strain sensor, sent by the wireless transmitting device, and the intelligent system is used for judging tire performance change according to the data collected by the stress sensor and the strain sensor.
Furthermore, the intelligent monitoring system for the automobile tire further comprises a display, wherein the display is electrically connected with the intelligent system and is used for displaying a stress cloud picture or a strain cloud picture of the tire.
Further, the intelligent system is also used for calculating the current tire thickness according to the data collected by the stress sensor and the strain sensor in the following mode:
F=a×ε·z+c
wherein epsilon represents the deformation of the tire and is the ratio of the strain quantity of the width of the tire to the original width; z represents the tire thickness; f represents the stress of the tire; a is a coefficient; c is a time dependent function.
Further, the intelligent system determines that the tire reaches the ultimate strength and warns when the calculated current tire thickness is less than a predetermined threshold.
Further, the intelligent system is also used for calculating the thickness of the tire according to the tire deformation data, obtaining the relation between the tire deformation and the time according to the tire deformation data at each moment, and judging the tire wear condition according to the relation.
The intelligent monitoring system has the advantages that the using state of the tire is intelligently monitored, the tire is prevented from being repaired after being damaged, the service life of the tire is prolonged, and meanwhile, the vehicle can run more safely.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.
Fig. 1 is a schematic structural diagram of an intelligent system for an automobile tire according to an embodiment of the present invention.
Fig. 2 is a stress or strain cloud shown in an embodiment of the invention.
Detailed Description
The following description of the embodiments refers to the accompanying drawings, which are included to illustrate specific embodiments in which the invention may be practiced.
Referring to fig. 1, an embodiment of the present invention provides an intelligent monitoring system for an automobile tire, including:
the stress sensors and the strain sensors are arranged in the rubber body of the automobile tire and are respectively used for acquiring pressure and deformation data of the tire;
the wireless transmitting device is electrically connected with the stress sensor and the strain sensor and is used for transmitting data collected by the stress sensor and the strain sensor;
the intelligent tire performance monitoring system comprises a wireless receiving device and an intelligent system, wherein the wireless receiving device is integrated in an automobile running computer and used for receiving data, collected by the stress sensor and the strain sensor, sent by the wireless transmitting device, and the intelligent system is used for judging tire performance change according to the data collected by the stress sensor and the strain sensor.
Specifically, in this embodiment, the stress sensors and the strain sensors are distributed in the tire rubber body and are respectively connected to the wireless signal transmitting device, and data measured by the stress sensors and the strain sensors are transmitted to the wireless receiving device through the wireless signal transmitting device and then transmitted to the intelligent system. The power supply of the stress and strain sensor and the wireless signal transceiver adopts a composite power supply, namely, a storage battery and an intelligent power generation device provide a long-term stable power supply.
Assuming that the tire material is uniform and the mechanical properties are the same (the tires produced by different types of tires by different manufacturers are different, and the embodiment does not perform specific analysis), the tire is subjected to the same force, the deformation is related to the tire strength, and the higher the tire strength is, the smaller the deformation is. When the materials are the same, the tire strength is related to the tire thickness (tire wall thickness in this embodiment), i.e. (1) the tire is subjected to the same magnitude of force F, the thicker the tire thickness z, the smaller the tire deformation epsilon; (2) the greater the thickness z of the tire, the limit of the force F it can withstand when the tire deformation ε is the samemaxThe larger. The expression is as follows: f ═ a × epsilon · z + c, where epsilon represents tire deformation and is the ratio of the amount of strain in the tire width (Δ L) to the original width (L), i.e., ∈ ═ Δ L/L, dimensionless; z represents the tire thickness; f represents the stress of the tire; a is a coefficient; c is a time-dependent number, and the value of c gradually decreases as time increases, and if the influence of time is not considered, c is 0.
The intelligent system receives the stress and the tire pressure and deformation data acquired by the strain sensor through the wireless receiving device and processes the data, and the pressure cloud picture and the strain cloud picture are visually displayed through the display, as shown in fig. 2. The intelligent system can analyze the tire performance change condition by comparing with the historical data of the initial state.
For example, assuming that a tire thickness z is 100 units, a force F of 100 units under normal conditions produces a deformation of 50 units, and a force F of 100 units under extreme conditions produces a deformation of 100 units, when the extreme strength of the tire material is reached, the intelligent system warns.
Application scenario 1: the tire wear was analyzed. When the tire thickness z changes, the pressure and strain change accordingly. When the tire becomes thinner due to wear, the tire deformation epsilon increases and the tire internal pressure will change, as compared with the tire in the initial state (new tire); and comparing the stress and the strain of different positions in the same state, so that the wear degrees of different positions can be judged. When the tire thickness z is reduced to 50% of the initial state, 100 units of deformation epsilon normally occurs under the force F of 100 units, and at the moment, the intelligent system judges that the tire reaches the ultimate strength and is in danger, and then a warning is given.
Application scenario 2: and monitoring the tire pressure of the tire. When the tire pressure is too large or too small, the safety of the tire and the vehicle is affected, and the deformation of the tire and the change of the rubber body pressure of the tire are reflected. Generally, when the tire pressure is large, the tire has large expansion volume, uniform deformation and small and concentrated ground contact area; when the tire pressure is small, the tire has small expansion volume, uneven deformation and large and diffused contact area.
Application scenario 3: and analyzing the damage cause of the tire. When the force F is unchanged, the intelligent system can calculate the thickness z of the tire by monitoring the deformation epsilon of the tire, obtain the relation between the deformation epsilon of the tire and time through epsilon data at each moment, and judge the wear condition of the tire according to the relation. Tire wear conditions are mainly classified into a long-term wear type and a short-term cut type, and a tire strain of the long-term wear type is uniform over a long period of time, while a tire strain of the short-term cut type is severe over a short period of time.
Application scenario 4: and analyzing the road condition. The road surface on which the vehicle travels can be roughly divided into three conditions of a highway, a mountain road and a sand road. The road is flat and hard, and the stress and strain at the similar position of the tire are similar along with the change of time; the mountain road is rugged and uneven, and has a lot of stones, and the stress on each position of the tire is inconsistent, so the stress and the strain change irregularly along with time; the stress condition of the tire in the silt road surface is similar to that of a road, but because the contact area of the tire and the road surface is large, the deformation range of the tire is large, meanwhile, the tire in the silt road has a slipping phenomenon, and the difference can be found by comparing the rotating speed of the tire with the actual speed.
Application scenario 5: tire maintenance and replacement analysis. Judging whether the wall thickness of the tire is in a safe range by monitoring the stress and the strain of the tire, and giving a suggestion of whether to replace the tire; providing a suggestion to maintain the tire by analyzing the tire pressure and the tire wear degree of the tire; according to the analysis of road conditions and the analysis of wear reasons, the installation of the adaptive special type of tires is recommended.
The intelligent monitoring system has the advantages that the using state of the tire is intelligently monitored, the tire is prevented from being repaired after being damaged, the service life of the tire is prolonged, and meanwhile, the vehicle can run more safely.
The above disclosure is only for the purpose of illustrating the preferred embodiments of the present invention, and it is therefore to be understood that the invention is not limited by the scope of the appended claims.
Claims (5)
1. An intelligent monitoring system for automobile tires, comprising:
the stress sensors and the strain sensors are arranged in the rubber body of the automobile tire and are respectively used for acquiring pressure and deformation data of the tire;
the wireless transmitting device is electrically connected with the stress sensor and the strain sensor and is used for transmitting data collected by the stress sensor and the strain sensor;
the intelligent tire performance monitoring system comprises a wireless receiving device and an intelligent system, wherein the wireless receiving device is integrated in an automobile running computer and used for receiving data, collected by the stress sensor and the strain sensor, sent by the wireless transmitting device, and the intelligent system is used for judging tire performance change according to the data collected by the stress sensor and the strain sensor.
2. The intelligent monitoring system for automobile tires according to claim 1, characterized by further comprising a display, electrically connected with the intelligent system, for displaying a stress cloud map or a strain cloud map of a tire.
3. The intelligent monitoring system for automobile tires according to claim 1, characterized in that, the intelligent system is further used for calculating the current tire thickness according to the data collected by the stress sensor and the strain sensor in the following manner:
F=a×ε·z+c
wherein epsilon represents the deformation of the tire and is the ratio of the strain quantity of the width of the tire to the original width; z represents the tire thickness; f represents the stress of the tire; a is a coefficient; c is a time dependent function.
4. The intelligent monitoring system for automobile tires according to claim 3, characterized in that, when the calculated current tire thickness is less than a predetermined threshold value, the intelligent system determines that the tire reaches the ultimate strength and gives an alarm.
5. The intelligent monitoring system for automobile tires according to claim 1, characterized in that the intelligent system is further configured to calculate the tire thickness according to the tire deformation data, obtain the relationship between the tire deformation and the time according to the tire deformation data at each moment, and determine the tire wear condition according to the relationship.
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CN201911341576.3A CN110962512A (en) | 2019-12-24 | 2019-12-24 | Intelligent monitoring system for automobile tire |
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CN201911341576.3A CN110962512A (en) | 2019-12-24 | 2019-12-24 | Intelligent monitoring system for automobile tire |
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Cited By (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN111361365A (en) * | 2020-04-10 | 2020-07-03 | 中国电子科技集团公司第四十八研究所 | Tire state monitoring module |
CN112078309A (en) * | 2020-08-25 | 2020-12-15 | 惠州华阳通用电子有限公司 | Tire air leakage detection method and system |
CN112223962A (en) * | 2020-12-08 | 2021-01-15 | 北京航空航天大学 | Intelligent vehicle control system and method based on road surface touch perception |
CN111994066B (en) * | 2020-10-29 | 2021-01-29 | 北京航空航天大学 | Intelligent automobile sensing system based on intelligent tire touch sensing |
CN112622536A (en) * | 2020-12-25 | 2021-04-09 | 中国农业大学 | Vehicle tire working state monitoring and sensing device and method |
CN112976926A (en) * | 2021-02-25 | 2021-06-18 | 长春汽车工业高等专科学校 | Based on speed controller for new energy automobile of car networking |
Citations (17)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
JPH06331301A (en) * | 1993-05-20 | 1994-12-02 | Bridgestone Corp | Estimation of irregular abrasion of tire |
CN1478242A (en) * | 2000-11-30 | 2004-02-25 | ��������̥��˾ | System and method for monitoring tyres |
US20040196149A1 (en) * | 2000-09-15 | 2004-10-07 | Arnaud Dufournier | Method and system or central station for monitoring tyre condition, and for detecting the presence of chains or nails, on a vehicle |
CN101284485A (en) * | 2008-04-24 | 2008-10-15 | 奇瑞汽车股份有限公司 | Automotive tire pressure monitoring system |
US20090078347A1 (en) * | 2007-09-25 | 2009-03-26 | Alfred Niklas | Tire tread detection and measurement of physical variables of a tire on a moving vehicle |
CN101460321A (en) * | 2006-04-25 | 2009-06-17 | 普利斯通及风驰通北美轮胎有限责任公司 | Elastomeric article with wireless micro and nano sensor system |
US20110118989A1 (en) * | 2008-06-25 | 2011-05-19 | Kabushiki Kaisha Bridgestone | Method for estimating tire wear and apparatus for estimating tire wear |
US20110221587A1 (en) * | 2010-03-12 | 2011-09-15 | Pacific Industrial Co., Ltd. | Tire wear detection device |
US20140366618A1 (en) * | 2013-06-14 | 2014-12-18 | Kanwar Bharat Singh | Tire wear state estimation system and method |
CN105313606A (en) * | 2014-08-04 | 2016-02-10 | Dr.Ing.h.c.F.保时捷股份公司 | System and method for determining tire wear properties |
CN105531125A (en) * | 2013-08-05 | 2016-04-27 | 倍耐力轮胎股份公司 | A device for monitoring tyres for vehicle wheels, tyre provided with said monitoring device and method for installing an electronic unit in a tyre |
CN105813857A (en) * | 2013-12-13 | 2016-07-27 | 米其林企业总公司 | Evolving tread for a tyre |
CN208544052U (en) * | 2018-04-20 | 2019-02-26 | 深圳供电局有限公司 | Wheel and underground pipeline robot comprising same |
CN109532353A (en) * | 2018-12-14 | 2019-03-29 | 上海为彪汽配制造有限公司 | A kind of tire thickness detection method and monitoring system |
FR3072165A1 (en) * | 2017-10-10 | 2019-04-12 | Continental Automotive France | METHOD FOR DETERMINING THE THICKNESS OF A TIRE OF A MOTOR VEHICLE |
CN109829410A (en) * | 2019-01-23 | 2019-05-31 | 东南大学 | One kind being based on vertical vehicle wheel forces recognition methods combined of multi-sensor information |
CN110431581A (en) * | 2017-03-15 | 2019-11-08 | 株式会社普利司通 | Tyre service auxiliary system, tyre service auxiliary program and tyre service householder method |
-
2019
- 2019-12-24 CN CN201911341576.3A patent/CN110962512A/en active Pending
Patent Citations (17)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
JPH06331301A (en) * | 1993-05-20 | 1994-12-02 | Bridgestone Corp | Estimation of irregular abrasion of tire |
US20040196149A1 (en) * | 2000-09-15 | 2004-10-07 | Arnaud Dufournier | Method and system or central station for monitoring tyre condition, and for detecting the presence of chains or nails, on a vehicle |
CN1478242A (en) * | 2000-11-30 | 2004-02-25 | ��������̥��˾ | System and method for monitoring tyres |
CN101460321A (en) * | 2006-04-25 | 2009-06-17 | 普利斯通及风驰通北美轮胎有限责任公司 | Elastomeric article with wireless micro and nano sensor system |
US20090078347A1 (en) * | 2007-09-25 | 2009-03-26 | Alfred Niklas | Tire tread detection and measurement of physical variables of a tire on a moving vehicle |
CN101284485A (en) * | 2008-04-24 | 2008-10-15 | 奇瑞汽车股份有限公司 | Automotive tire pressure monitoring system |
US20110118989A1 (en) * | 2008-06-25 | 2011-05-19 | Kabushiki Kaisha Bridgestone | Method for estimating tire wear and apparatus for estimating tire wear |
US20110221587A1 (en) * | 2010-03-12 | 2011-09-15 | Pacific Industrial Co., Ltd. | Tire wear detection device |
US20140366618A1 (en) * | 2013-06-14 | 2014-12-18 | Kanwar Bharat Singh | Tire wear state estimation system and method |
CN105531125A (en) * | 2013-08-05 | 2016-04-27 | 倍耐力轮胎股份公司 | A device for monitoring tyres for vehicle wheels, tyre provided with said monitoring device and method for installing an electronic unit in a tyre |
CN105813857A (en) * | 2013-12-13 | 2016-07-27 | 米其林企业总公司 | Evolving tread for a tyre |
CN105313606A (en) * | 2014-08-04 | 2016-02-10 | Dr.Ing.h.c.F.保时捷股份公司 | System and method for determining tire wear properties |
CN110431581A (en) * | 2017-03-15 | 2019-11-08 | 株式会社普利司通 | Tyre service auxiliary system, tyre service auxiliary program and tyre service householder method |
FR3072165A1 (en) * | 2017-10-10 | 2019-04-12 | Continental Automotive France | METHOD FOR DETERMINING THE THICKNESS OF A TIRE OF A MOTOR VEHICLE |
CN208544052U (en) * | 2018-04-20 | 2019-02-26 | 深圳供电局有限公司 | Wheel and underground pipeline robot comprising same |
CN109532353A (en) * | 2018-12-14 | 2019-03-29 | 上海为彪汽配制造有限公司 | A kind of tire thickness detection method and monitoring system |
CN109829410A (en) * | 2019-01-23 | 2019-05-31 | 东南大学 | One kind being based on vertical vehicle wheel forces recognition methods combined of multi-sensor information |
Non-Patent Citations (4)
Title |
---|
L.A.索斯洛夫斯基: "《摩擦疲劳学》", 31 July 2013, 中国矿业大学出版社 * |
R.B西米列夫: "《汽车理论》", 31 January 1964, 人民交通出版社 * |
傅鹤川: "《汽车智能轮胎的无线监测技术方法浅析》", 《内燃机与配件》 * |
朱春侠等: "《子午线轮胎磨损的计算机仿真》", 《农机化研究》 * |
Cited By (7)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN111361365A (en) * | 2020-04-10 | 2020-07-03 | 中国电子科技集团公司第四十八研究所 | Tire state monitoring module |
CN112078309A (en) * | 2020-08-25 | 2020-12-15 | 惠州华阳通用电子有限公司 | Tire air leakage detection method and system |
CN111994066B (en) * | 2020-10-29 | 2021-01-29 | 北京航空航天大学 | Intelligent automobile sensing system based on intelligent tire touch sensing |
CN112223962A (en) * | 2020-12-08 | 2021-01-15 | 北京航空航天大学 | Intelligent vehicle control system and method based on road surface touch perception |
CN112622536A (en) * | 2020-12-25 | 2021-04-09 | 中国农业大学 | Vehicle tire working state monitoring and sensing device and method |
CN112622536B (en) * | 2020-12-25 | 2023-10-31 | 中国农业大学 | Vehicle tyre working state monitoring and sensing device and method |
CN112976926A (en) * | 2021-02-25 | 2021-06-18 | 长春汽车工业高等专科学校 | Based on speed controller for new energy automobile of car networking |
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