阅读说明：本技术 作业车辆的状态检测系统、作业车辆以及作业车辆的状态检测方法 (Work vehicle state detection system, work vehicle, and work vehicle state detection method ) 是由 佐野慎哉 平野义隆 吉本松男 小林伸二 于 2019-03-06 设计创作，主要内容包括：一种作业车辆的状态检测系统,具备：行驶状态检测装置,其设于具有旋转机械的作业车辆,检测作业车辆的行驶状态；振动传感器,其设于旋转机械；行驶状态数据获取部,其获取表示行驶状态的行驶状态数据；条件成立判定部,其对行驶状态是否满足规定条件,进行判定；振动检测数据获取部,其获取表示在行驶状态满足规定条件时的振动传感器的检测值的振动检测数据；振动正常数据存储部,其存储表示在旋转机械为正常且行驶状态满足规定条件时的振动传感器的检测值的振动正常数据；以及解析部,其基于振动检测数据和振动正常数据,解析在获取了振动检测数据时的旋转机械的状态。(A state detection system for a work vehicle, comprising: a travel state detection device that is provided in a work vehicle having a rotating machine and detects a travel state of the work vehicle; a vibration sensor provided in the rotary machine; a driving state data acquisition unit that acquires driving state data indicating a driving state; a condition satisfaction determination unit that determines whether or not a traveling state satisfies a predetermined condition; a vibration detection data acquisition unit that acquires vibration detection data indicating a detection value of the vibration sensor when a traveling state satisfies a predetermined condition; a vibration normal data storage unit that stores vibration normal data indicating a detection value of the vibration sensor when the rotary machine is normal and a running state satisfies a predetermined condition; and an analysis unit that analyzes the state of the rotary machine when the vibration detection data is acquired, based on the vibration detection data and the vibration normal data.)

1. A state detection system for a work vehicle, comprising:

a running state detection device that is provided in a work vehicle having a rotating machine and detects a running state of the work vehicle;

a vibration sensor provided in the rotary machine;

a driving state data acquisition unit that acquires driving state data indicating the driving state;

a condition satisfaction determination unit that determines whether or not the traveling state satisfies a predetermined condition;

a vibration detection data acquisition unit that acquires vibration detection data indicating a detection value of the vibration sensor when the running state satisfies the predetermined condition;

a vibration normal data storage unit that stores vibration normal data indicating a detection value of the vibration sensor when the rotary machine is normal and the running state satisfies the predetermined condition; and

and an analysis unit that analyzes the state of the rotating machine when the vibration detection data is acquired, based on the vibration detection data and the vibration normal data.

2. The state detection system of a work vehicle according to claim 1,

analyzing the state of the rotating machine includes: determining whether the rotating machine is abnormal.

3. The state detection system of a work vehicle according to claim 1 or 2,

the driving state includes: the number of revolutions of a drive shaft providing a rotational force to the rotating machine,

the prescribed condition includes one or both of the following conditions: the number of revolutions is more than a specified number of revolutions; and a variation amount per unit time of the number of rotations is within a first variation range.

4. The state detection system of a work vehicle according to any one of claims 1 to 3,

the driving state includes: the pressure of the suspension cylinder of the work vehicle,

the prescribed conditions include: the variation amount per unit time of the pressure is within a second variation range.

5. The state detection system of a work vehicle according to any one of claims 1 to 4,

the driving state includes: an operation amount of an operation device that adjusts an output of a power source that drives the rotary machine,

the prescribed conditions include: the operation amount is equal to or greater than a predetermined operation amount.

6. The state detection system of a work vehicle according to any one of claims 1 to 5,

the driving state includes: a steering angle of a steering device of the work vehicle,

the prescribed conditions include: the steering angle is within a prescribed steering angle.

7. The state detection system of a work vehicle according to any one of claims 1 to 6,

the state detection system for a work vehicle includes: a position sensor that detects a position of the work vehicle; and a position data storage unit that stores position data indicating a position of the work vehicle when the traveling state satisfies the predetermined condition,

the analysis unit analyzes the state of the rotary machine based on the vibration detection data acquired when the work vehicle travels at the position.

8. The state detection system of a work vehicle according to any one of claims 1 to 7,

the rotary machine has a plurality of mechanical components,

the state detection system for a work vehicle includes: a correlation data storage unit that stores correlation data indicating a relationship between the number of revolutions of a drive shaft that provides the rotary machine with rotational force and vibration characteristics of the rotary machine when the machine component is abnormal,

the analysis unit identifies the abnormal mechanical component based on the correlation data and the vibration detection data.

9. The state detection system of a work vehicle according to any one of claims 1 to 8,

the rotary machine has a housing that houses a plurality of machine components,

the vibration sensor is provided in the housing to detect vibration in a vertical direction.

10. The state detection system of a work vehicle according to any one of claims 1 to 9,

the state detection system for a work vehicle includes: a trigger unit that outputs a trigger signal to the analysis unit when the running state satisfies the predetermined condition for a predetermined time period,

the analysis unit analyzes the state of the rotary machine based on the vibration detection data acquired during a period between a current time at which the trigger signal is acquired and a retrospective time that is retrospectively traced by the predetermined time from the current time.

11. The state detection system of a work vehicle according to any one of claims 1 to 10,

the state detection system for a work vehicle includes: and an output unit that outputs the analysis result of the analysis unit.

12. The state detection system of a work vehicle according to claim 11,

the output unit outputs the analysis result to a reporting device mounted on the work vehicle.

13. The state detection system of a work vehicle according to claim 11 or 12, wherein,

the output unit outputs the analysis result to a server provided outside the work vehicle.

14. A work vehicle is provided with: the state detection system of a work vehicle according to any one of claims 1 to 13.

15. A method of detecting a state of a work vehicle,

by means of the control device, the user can select the desired mode,

acquiring traveling state data indicating a traveling state of a work vehicle having a rotary machine,

determining whether the running state satisfies a prescribed condition, an

The method includes acquiring an analysis result of a state of the rotary machine at the time of acquiring the vibration detection data, the analysis result being obtained by analyzing based on vibration normal data indicating a detected value of vibration of the rotary machine when the rotary machine is normal and the running state satisfies the predetermined condition, and vibration detection data indicating a detected value of vibration of the rotary machine when the running state satisfies the predetermined condition.

16. A method of detecting a state of a work vehicle,

the running state of a work vehicle having a rotary machine is detected,

detecting a vibration of the rotating machine,

it is determined whether the running state satisfies a prescribed condition,

determining a state of the rotary machine at the time of acquiring the vibration detection data, based on vibration detection data when the running state satisfies a prescribed condition, and stored vibration normal data when the rotary machine is normal and the running state satisfies the prescribed condition, an

And outputting the judgment result.

Technical Field

The present invention relates to a work vehicle state detection system, a work vehicle, and a work vehicle state detection method.

Background

A wheel-driven work vehicle such as a dump truck or a wheel loader includes a power source such as an internal combustion engine and a rotating machine such as a transmission or an axle device. The power generated by the power source is transmitted to the wheels via the transmission and the axle device. The wheels rotate, and the work vehicle travels.

A rotary machine has mechanical components constituting a rotating part such as a gear or a bearing. When the mechanical component is deteriorated, fine initial peeling occurs on the surface of the mechanical component. If the mechanical component is continuously used in a state where the initial peeling is left alone, the peeling is further accelerated, and finally the mechanical component is broken. Further, when fragments of the broken machine parts scatter around or damage of peripheral machine parts is increased, a large maintenance cost and a long maintenance period are required. Therefore, there is a need for a technique that can detect an abnormality of a mechanical component at an early stage before the damage suffered is extended, even if such an abnormality as initial peeling occurs in the mechanical component.

Patent document 1: japanese patent laid-open publication No. 2016-145712

Disclosure of Invention

At the stage of initial separation of the machine component, the magnitude of the generated vibration and abnormal noise is small, and it is difficult to detect an abnormality of the rotary machine of the work vehicle. Therefore, the abnormality of the rotary machine may sometimes be recognized after the mechanical component is broken and the damage suffered is extended.

The present invention is directed to reliably recognizing the state of a rotating machine of a work vehicle. The recognition of normality and abnormality of the rotating machine, including the sign thereof, will be described in detail below.

According to an aspect of the present invention, there is provided a state detection system for a work vehicle, including: a running state detection device that is provided in a work vehicle having a rotating machine and detects a running state of the work vehicle; a vibration sensor provided in the rotary machine; a driving state data acquisition unit that acquires driving state data indicating the driving state; a condition satisfaction determination unit that determines whether or not the traveling state satisfies a predetermined condition; a vibration detection data acquisition unit that acquires vibration detection data indicating a detection value of the vibration sensor when the running state satisfies the predetermined condition; a vibration normal data storage unit that stores vibration normal data indicating a detection value of the vibration sensor when the rotary machine is normal and the running state satisfies the predetermined condition; and an analysis unit that analyzes the state of the rotating machine when the vibration detection data is acquired, based on the vibration detection data and the vibration normal data.

According to the aspect of the present invention, the state of the rotating machine of the work vehicle can be reliably recognized.

Drawings

Fig. 1 is a perspective view of an example of a work vehicle according to the present embodiment as viewed from the rear.

Fig. 2 is a diagram schematically showing an example of the work vehicle according to the present embodiment.

Fig. 3 is a view of a part of the rotary machine according to the present embodiment as viewed from the rear.

Fig. 4 is a plan view showing an example of a rotary machine according to the present embodiment.

Fig. 5 is a functional block diagram showing an example of the state detection system according to the present embodiment.

Fig. 6 is a diagram showing an example of the predetermined condition according to the present embodiment.

Fig. 7 is a diagram showing vibration spectrum characteristics of the vibration normal data and the vibration detection data according to the present embodiment.

Fig. 8 is a diagram showing an example of related data according to the present embodiment.

Fig. 9 is a flowchart showing an example of the state detection method according to the present embodiment.

Fig. 10 is a flowchart showing an example of the state detection method according to the present embodiment.

Detailed Description

Hereinafter, embodiments according to the present invention will be described with reference to the drawings, but the present invention is not limited thereto. The constituent elements of the embodiments described below can be combined as appropriate. In addition, some of the components may not be used.

Working vehicle

Fig. 1 is a perspective view of an example of a work vehicle 100 according to the present embodiment as viewed from the rear. Fig. 2 is a diagram schematically showing an example of the work vehicle 100 according to the present embodiment. In the present embodiment, the work vehicle 100 is a dump truck that travels while loading a load at a mine excavation site. In the following description, the work vehicle 100 is appropriately referred to as a dump truck 100.

In the present embodiment, the dump truck 100 has a cab on which a driver rides. The dump truck 100 is a manned dump truck operated by a driver. In the present embodiment, the dump truck 100 is a rigid dump truck.

As shown in fig. 1 and 2, the dump truck 100 includes a power source 70, a frame 110, a vessel body 120, and a travel device 130.

Power source 70 is supported by frame 110. Power source 70 includes an internal combustion engine such as a diesel engine. The power source 70 may include a generator that operates based on power generated by the internal combustion engine, and an electric motor that operates based on electric power generated by the generator.

The frame 110 supports a dump body 120. The vessel 120 is a part for loading cargo.

The traveling device 130 supports the frame 110. The running device 130 includes wheels 150 to which tires 140 are attached, a suspension device 160, and a steering device 170.

The wheel 150 is supported by a suspension device 160. The wheels 150 include front wheels 150F and rear wheels 150R. The rear wheel 150R rotates about the rotation axis AX.

In the following description, a direction parallel to the rotation axis AX is appropriately referred to as a vehicle width direction, a traveling direction of the dump truck 100 is appropriately referred to as a front-rear direction, and directions orthogonal to the vehicle width direction and the front-rear direction are appropriately referred to as an up-down direction.

One of the front and rear directions is the front, and the opposite direction to the front is the rear. One of the vehicle width directions is the right direction, and the opposite direction to the right direction is the left direction. One of the upper and lower directions is the upper direction, and the opposite direction of the upper direction is the lower direction. The front wheels 150F are disposed forward of the rear wheels 150R. The front wheels 150F are disposed on both sides in the vehicle width direction. The rear wheels 150R are disposed on both sides in the vehicle width direction. The vessel 120 is disposed above the frame 110.

Suspension device 160 supports wheel 150. The suspension device 160 has a suspension cylinder 161 that supports the wheel 150. The suspension cylinder 161 is disposed between the wheel 150 and the frame 110. The suspension cylinder 161 is internally sealed with hydraulic oil. The suspension cylinder 161 expands and contracts according to the state of unevenness of the road surface on which the running device 130 runs. The suspension cylinder 161 expands and contracts, and the pressure of the hydraulic oil sealed inside the suspension cylinder 161 varies.

The steering device 170 operates the front wheels 150F. The steering device 170 is operated by a driver via a steering wheel disposed in a cab.

The running device 130 includes a rotary machine 1, and the rotary machine 1 transmits power generated by the power source 70 to the rear wheels 150R. The rotary machine 1 includes an axle device 1A and a transmission device 1B. The power generated by the power source 70 is transmitted to the axle device 1A via the transmission device 1B. The transmission 1B rotates the propeller shaft 3. The propeller shaft 3 provides rotational force to the axle device 1A. The axle device 1A transmits the power of the power source 70 supplied via the transmission device 1B and the propeller shaft 3 to the rear wheels 150R. The rear wheel 150R rotates about the rotation axis AX based on the supplied power. Thereby, the traveling device 130 travels.

The dump truck 100 further includes a revolution sensor 410, a pressure sensor 420, an accelerator opening sensor 430, a steering angle sensor 440, a position sensor 60, a reporting device 80, a communication device 180, a control device 200, and a vibration analysis device 300.

The revolution number sensor 410 detects the number N of revolutions per unit time of the drive shaft 3 that provides the rotational force to the axle device 1A. The running speed V of the dump truck 100 is detected by detecting the number of revolutions N per unit time of the propeller shaft 3, that is, the rotational speed.

The pressure sensor 420 detects the pressure P of the hydraulic oil sealed in the suspension cylinder 161. The pressure sensor 420 detects the pressure P of the hydraulic oil of the suspension cylinder 161 to detect a load acting on the suspension cylinder 161. The pressure P of the hydraulic oil of the suspension cylinder 161 varies according to the state of the irregularities of the road surface on which the running device 130 runs. The pressure sensor 420 functions as a road surface condition sensor that detects the uneven condition of the road surface. The state of unevenness of the road surface is detected by detecting the pressure P of the hydraulic oil of the suspension cylinder 161.

Further, the pressure P of the hydraulic oil of the suspension cylinder 161 fluctuates according to the weight of the cargo loaded on the vessel 120. The pressure sensor 420 functions as a load amount sensor that detects the weight of the load loaded on the vessel 120.

The accelerator opening sensor 430 detects an operation amount (stepping amount) of the accelerator pedal 73. The accelerator opening degree W (throttle opening degree) of the throttle valve of the power source 70 is adjusted based on the operation amount of the accelerator pedal 73. The accelerator pedal 73 functions as an operation device for adjusting the output of the power source 70 for driving the rotary machine 1. The operation amount of the operation device includes an accelerator opening W. The output of the power source 70 for driving the rotary machine 1 is adjusted by adjusting the accelerator opening W.

The steering angle sensor 440 detects a steering angle θ of the steering device 170. When the operation angle θ is 0[ ° ], the running device 130 runs straight. When the steering angle θ increases, the traveling device 130 turns a curve. By detecting the steering angle θ of the steering device 170, it is detected whether the running device 130 is in the straight running state or the turning state.

The position sensor 60 detects an absolute position indicating the position of the dump truck 100 in the Global coordinate System by a Global Navigation Satellite System (GNSS). An example of the Global navigation satellite System is a Global Positioning System (GPS). The position sensor 60 includes a GPS receiver.

The reporting device 80 is mounted on the dump truck 100. The reporting device 80 is disposed in the cab and reports data to the driver. The reporting device 80 includes at least one of a display device, a light emitting device, and a sound output device. The Display device includes flat panel displays such as a Liquid Crystal Display (LCD) or an organic EL Display (OELD). The Light Emitting device includes a Light source such as a Light Emitting Diode (LED). The sound output device includes an alarm or a voice output device capable of emitting an alarm sound. The reporting device reports data to the driver using at least one of display data displayed on the display device, light emitted from the light emitting device, and sound output from the sound output device.

The communication device 180 is capable of communicating with an external machine. The communication device 180 is connected to the control device 200.

Rotary machine

Fig. 3 is a rear view of a part of the axle device 1A according to the present embodiment. Fig. 4 is a plan view showing an example of an axle device 1A according to an embodiment of the present invention. In the present embodiment, the axle device 1A is a rear axle that drives the rear wheels 150R. The axle device 1A has an axle housing 2. The axle housing 2 is a cylindrical member. A plurality of mechanical components such as a gear 10 and a bearing 20 are housed in the internal space of the axle housing 2.

The axle housing 2 is supported by the frame 110 via a suspension device 160. The axle housing 2 is provided with a vibration sensor 50. The vibration sensor 50 is provided in plurality on the outer surface of the axle housing 2. The vibration sensor 50 is provided in plurality at intervals on the upper surface of the axle housing 2. The vibration sensor 50 is provided in the axle housing 2 to detect vibration in the vertical direction (vertical direction).

In the present embodiment, the vibration sensor 50 provided in the axle housing 2 includes four vibration sensors 50A, 50B, 50C, and 50D. The vibration sensor 50A is provided at the center portion in the vehicle width direction and the center portion in the front-rear direction of the upper surface of the axle housing 2. The vibration sensor 50B is provided at the center of the upper surface of the axle housing 2 in the vehicle width direction and in front of the vibration sensor 50A. The vibration sensor 50C is provided at the center of the upper surface of the axle housing 2 in the front-rear direction and to the left of the vibration sensor 50A. The vibration sensor 50D is provided at the center in the front-rear direction of the upper surface of the axle housing 2 and to the right of the vibration sensor 50A. The number of the vibration sensors 50 provided in the axle housing 2 may be two or three, or may be any number of five or more. The vibration sensor 50 provided in the axle housing 2 may be one.

As shown in fig. 4, the axle device 1A includes an axle case 2, a differential 4 disposed in an internal space 2H of the axle case 2 and coupled to a propeller shaft 3, and an axle shaft to which a rotational force of the propeller shaft 3 is transmitted via the differential 4. The axle shaft rotates, and thus the rear wheel 150R of the running gear 130 rotates.

The axle housing 2 has a differential body 2A that houses the differential 4, and side portions (side bodies) 2B that are connected to the left and right sides of the differential body 2A, respectively.

The propeller shaft 3 rotates based on the driving force generated by the engine. The propeller shaft 3 extends in the front-rear direction and rotates about a rotation axis BX. The rotation axis BX extends in the front-rear direction.

The power generated by the power source 70 is transmitted to the axle device 1A via the transmission device 1B and the propeller shaft 3.

When the propeller shaft 3 rotates about the rotation axis BX, the axle shaft rotates about the rotation axis AX. The rotation axis AX extends in the vehicle width direction. The rotation axis AX is substantially orthogonal to the rotation axis BX. The axle shaft rotates about the rotation axis AX, so that the rear wheels 150R connected to the axle shaft rotate about the rotation axis AX.

State detection system

Fig. 5 is a functional block diagram showing an example of the state detection system 1000 according to the present embodiment. As shown in fig. 5, the state detection system 1000 includes a control device 200, a vibration analysis device 300, a running state detection device 400, and a vibration sensor 50.

The state detection system 1000 includes the position sensor 60, the reporting device 80, and the communication device 180. The state detection system 1000 can communicate with the server 500 via the communication device 180 and the communication device 190.

The state detection system 1000 is provided in the dump truck 100. The server 500 is provided outside the dump truck 100.

The communication device 190 is connected to the server 500. The communication device 180 of the state detection system 1000 communicates with the communication device 190 of the server 500 via a communication network. The communication network includes the Internet (Internet). In addition, the communication network may also include a mobile telephone communication network.

The control device 200 includes a computer system. The control device 200 includes an arithmetic processing device 210 including a processor such as a CPU (Central processing unit), a storage device 220 including a volatile Memory such as a RAM (Random Access Memory) and a nonvolatile Memory such as a ROM (Read Only Memory), and an input/output interface 230.

The vibration analysis device 300 includes a computer system. The vibration analysis device 300 includes an arithmetic processing device 310 including a processor such as a CPU, a storage device 320 including a volatile memory such as a RAM and a nonvolatile memory such as a ROM, and an input/output interface 330.

The server 500 includes a computer system. The server 500 has an arithmetic processing device 510 including a processor such as a CPU, a storage device 520 including a volatile memory such as a RAM and a nonvolatile memory such as a ROM, and an input/output interface 530.

The input/output interface 230 of the control device 200 includes an interface circuit for connecting the arithmetic processing device 210 and the storage device 220 to an external device. Vibration analysis device 300, driving state detection device 400, position sensor 60, notification device 80, and communication device 180 are connected to input/output interface 230.

The input/output interface 330 of the vibration analysis device 300 includes an interface circuit for connecting the arithmetic processing device 310 and the storage device 320 to an external device. The input/output interface 330 is connected to the control device 200, the driving state detection device 400, and the vibration sensor 50.

The input/output interface 530 of the server 500 includes an interface circuit for connecting the arithmetic processing device 510 and the storage device 520 to an external device. The input/output interface 530 is connected to the communication device 190.

The running state detection device 400 is provided in the dump truck 100. The travel state detection device 400 detects the travel state of the dump truck 100. In the present embodiment, the running state detection device 400 includes a revolution sensor 410, a pressure sensor 420, an accelerator opening sensor 430, and a steering angle sensor 440.

The travel state of the dump truck 100 detected by the travel state detection device 400 includes at least one of: the number of revolutions per unit time of the propeller shaft 3 detected by the revolution number sensor 410, the pressure of the suspension cylinder 161 detected by the pressure sensor 420, the accelerator opening degree that adjusts the output of the power source 70 detected by the accelerator opening degree sensor 430, and the steering angle of the steering device 170 detected by the steering angle sensor 440.

The vibration sensor 50 is provided to the axle housing 2 of the axle device 1A. The vibration sensor 50 detects vibrations of the axle device 1A.

The arithmetic processing unit 210 of the control device 200 includes: a travel state data acquisition unit 240 that acquires travel state data indicating the travel state of the dump truck 100; a position acquisition unit 250 that acquires position data indicating the position of the dump truck 100; a condition satisfaction determination unit 260 that determines whether or not the travel state of the dump truck 100 satisfies a predetermined condition; and a trigger unit 270 that outputs a trigger signal to the vibration analysis device 300.

The storage device 220 of the control device 200 includes a predetermined condition storage unit 221, a position data storage unit 222, and a data storage unit 223.

The traveling state data acquisition unit 240 acquires traveling state data from the traveling state detection device 400. The traveling state data acquisition unit 240 includes: a revolution number obtaining unit 241 for obtaining a revolution number N of the propeller shaft 3 from the revolution number sensor 410; a pressure acquisition unit 242 that acquires the pressure P of the suspension cylinder 161 from the pressure sensor 420; an accelerator opening degree obtaining unit 243 for obtaining an accelerator opening degree W from the accelerator opening degree sensor 430; and a steering angle acquisition unit 244 that acquires the steering angle θ of the steering device 170 from the steering angle sensor 440.

The position acquisition unit 250 acquires the position of the dump truck 100 from the position sensor 60.

The predetermined condition storage unit 221 stores predetermined conditions related to the traveling state of the dump truck 100. The predetermined condition defines a traveling state of the dump truck 100 in which the state of the axle device 1A can be detected with external disturbance suppressed when the vibration sensor 50 detects the vibration of the axle device 1A. "the traveling state of the dump truck 100 satisfies the predetermined condition" means that: the vibration sensor 50 can reliably detect the vibration of the axle device 1A in a state where the external disturbance applied to the vibration sensor 50 is suppressed.

The position data storage unit 222 stores position data indicating the position of the dump truck 100 when the travel state satisfies a predetermined condition, based on the position of the dump truck 100 acquired by the position acquisition unit 250 and the travel state of the dump truck 100 acquired by the travel state data acquisition unit 240 when the dump truck 100 travels at the position acquired by the position acquisition unit 250. The position data storage unit 222 stores the position of the dump truck 100 when traveling under a predetermined condition.

The data storage 223 stores the running state data acquired by the running state data acquisition unit 240 and the vibration detection data of the vibration sensor 50.

The condition satisfaction determination unit 260 determines whether or not the traveling state acquired by the traveling state data acquisition unit 240 satisfies a predetermined condition based on the predetermined condition stored in the predetermined condition storage unit 221. The condition satisfaction judging unit 260 outputs the judgment data to the vibration analyzing device 300.

When the running state satisfies the predetermined condition and is maintained for a predetermined time, the trigger unit 270 outputs a trigger signal for starting vibration analysis to the vibration analysis device 300. In the present embodiment, the predetermined time is, for example, 5[ seconds ].

The arithmetic processing unit 310 of the vibration analysis device 300 includes: a travel state data acquisition unit 340 that acquires travel state data indicating the travel state of the dump truck 100; a vibration detection data acquisition unit 350 that acquires vibration detection data indicating the detection value of the vibration sensor 50; an analysis unit 360 that analyzes the state of the axle device 1A when the vibration detection data acquisition unit 350 has acquired the vibration detection data; and an output unit 370 that outputs the analysis result of the analysis unit 360.

The storage device 320 of the vibration analysis device 300 includes a vibration normal data storage 321, a related data storage 322, and a data storage 323.

The traveling state data acquisition unit 340 acquires traveling state data from the traveling state detection device 400. The traveling state data acquisition unit 340 of the vibration analysis device 300 has the same function as the traveling state data acquisition unit 240 of the control device 200.

The vibration normal data storage unit 321 stores vibration normal data indicating the detection value of the vibration sensor 50 when the axle device 1A is normal and the traveling state of the dump truck 100 satisfies a predetermined condition. The normal state of the axle device 1A means that the mechanical components of the axle device 1A are normal, and includes a state in which the mechanical components of the axle device 1A are not degraded, a state in which surface peeling does not occur, and a state in which breakage does not occur. For example, when the axle device 1A is a new product, the axle device 1A is normal. The vibration normal data is collected and stored in the vibration normal data storage unit 321 when the axle device 1A is new and the dump truck 100 is traveling under predetermined conditions, for example. The axle device 1A is normal, and is not limited to the axle device 1A being a new product.

The related data storage unit 322 stores related data indicating a relationship between the number of revolutions N of the propeller shaft 3 and the vibration characteristics of the axle device 1A when the mechanical components of the axle device 1A are abnormal. The relevant data is used when determining an abnormal mechanical component among the plurality of mechanical components of the axle device 1A.

The data storage unit 323 stores the running state data acquired by the running state data acquisition unit 340 and the vibration detection data of the vibration sensor 50.

The vibration detection data acquisition unit 350 acquires vibration detection data indicating the detection value of the vibration sensor 50 from the vibration sensor 50. In the present embodiment, the vibration detection data acquisition unit 350 acquires the vibration detection data of the vibration sensor 50 when the traveling state of the dump truck 100 satisfies a predetermined condition. The determination data of the condition satisfaction determining unit 260 is supplied to the vibration detection data acquiring unit 350. The vibration detection data acquisition unit 350 acquires the vibration detection data of the vibration sensor 50 when the condition satisfaction determination unit 260 determines that the traveling state of the dump truck 100 satisfies the predetermined condition, and stores the vibration detection data in the data storage unit 323.

The analysis unit 360 analyzes the state of the axle device 1A when the vibration detection data acquisition unit 350 has acquired the vibration detection data, based on the vibration normal data stored in the vibration normal data storage unit 321 and the vibration detection data acquired by the vibration detection data acquisition unit 350.

The vibration detection data is vibration waveform data detected by the vibration sensor 50 when the running state satisfies a predetermined condition. The vibration normal data is also vibration waveform data detected by the vibration sensor 50 when the traveling state satisfies a predetermined condition. That is, the traveling state of the dump truck 100 when the vibration detection data is acquired is the same condition (predetermined condition) as the traveling state of the dump truck 100 when the vibration normal data is acquired.

In the case where the mechanical components of the axle device 1A are normal at the time of acquiring the vibration detection data, the vibration detection data is substantially equal to the vibration normal data. In the case where the mechanical components of the axle device 1A are abnormal at the time of acquiring the vibration detection data, the vibration detection data is different from the vibration normal data. That is, when the axle device 1A is normal, the vibration detection data is substantially equal to the vibration normal data, and when the axle device 1A is abnormal, the vibration detection data is different from the vibration normal data. The abnormality of the axle device 1A means that the mechanical components of the axle device 1A are abnormal, and includes at least one of a state in which at least a part of the mechanical components of the axle device 1A are degraded, a state in which the surfaces are peeled, and a state in which the mechanical components are broken.

The analysis unit 360 can determine whether or not there is an abnormality in the axle device 1A by comparing the vibration normal data stored in the vibration normal data storage unit 321 with the vibration detection data acquired by the vibration detection data acquisition unit 350.

The analysis unit 360 can identify an abnormal machine component based on the correlation data stored in the correlation data storage unit 322 and the vibration detection data acquired by the vibration detection data acquisition unit 350.

The output unit 370 outputs the analysis result of the analysis unit 360. In the present embodiment, the output unit 370 outputs the analysis result to the data storage unit 323. The data storage unit 323 stores the analysis result. Further, the output unit 370 outputs the analysis result to the control device 200. The data storage unit 223 of the control device 200 stores the analysis result. The control device 200 also outputs the analysis result to the reporting device 80. Further, control device 200 transmits the analysis result to server 500 via communication device 180. The output unit 370 may output the analysis result to the reporting device 80 or the server 500 without passing through the control device 200.

Specified conditions

Next, predetermined conditions will be explained. The predetermined condition storage unit 221 stores predetermined conditions related to the traveling state of the dump truck 100. The predetermined condition defines a traveling state of the dump truck 100 in which the state of the axle device 1A can be detected with external disturbance suppressed when the vibration sensor 50 detects the vibration of the axle device 1A.

Fig. 6 is a diagram showing an example of the predetermined condition according to the present embodiment. As shown in fig. 6, the prescribed conditions include: a predetermined condition relating to the number N of revolutions of the propeller shaft 3, a predetermined condition relating to the pressure P of the suspension cylinder 161, a predetermined condition relating to the accelerator opening degree W, and a predetermined condition relating to the steering angle θ of the steering device 170.

The prescribed conditions relating to the number of revolutions N of the propeller shaft 3 include: the number of revolutions N per unit time of the propeller shaft 3 is equal to or greater than a predetermined number of revolutions Nr. The predetermined condition is satisfied when the number of revolutions N of propeller shaft 3 detected by revolution number sensor 410 is equal to or greater than a predetermined number of revolutions Nr, and is not satisfied when the number of revolutions N is not equal to the predetermined number of revolutions Nr.

When the axle device 1A is not in operation, the axle device 1A does not vibrate at all. Even if the vibration of the axle device 1A is detected using the vibration sensor 50, it is difficult to determine whether there is an abnormality in the mechanical components based on the vibration detection data of the vibration sensor 50. In order to determine whether or not there is an abnormality in the mechanical components, it is necessary to detect vibration in a state where the axle device 1A is operated. Therefore, when detecting the vibration, the number of revolutions N of the propeller shaft 3 needs to be equal to or greater than the predetermined number of revolutions Nr.

In addition, the number of revolutions N of the propeller shaft 3 corresponds to the traveling speed V of the dump truck 100. Therefore, the prescribed conditions may also include: the travel speed V of the dump truck 100 is equal to or higher than the predetermined travel speed Vr. The predetermined condition is satisfied when the traveling speed V of the dump truck 100 is equal to or higher than the predetermined traveling speed Vr, and the predetermined condition is not satisfied when the traveling speed V is not equal to the predetermined traveling speed Vr.

The prescribed conditions relating to the number of revolutions N of the propeller shaft 3 include: the variation Δ N per unit time of the number N of revolutions of the propeller shaft 3 is within the first variation range ± Δ Nr. The predetermined condition is satisfied when the variation Δ N derived from the detection data of the revolution sensor 410 is within the first variation range ± Δ Nr, and the predetermined condition is not satisfied when the variation Δ N is not within the first variation range ± Δ Nr.

The "large fluctuation amount Δ N" means: the amount of change Δ V per unit time in the travel speed V of the dump truck 100 is large. That is, the "large fluctuation amount Δ N" means: the dump truck 100 repeats acceleration or deceleration. If the variation Δ V of the running speed V is large, the vibration characteristics of the axle device 1A change, and therefore the accuracy of the vibration analysis result based on the vibration detection data of the vibration sensor 50 may be reduced. Therefore, when detecting the vibration of the axle device 1A, the variation Δ N of the rotation number N of the propeller shaft 3 needs to be within the first variation range ± Δ Nr, that is, the variation Δ V of the traveling speed V of the dump truck 100 needs to be within the first variation range ± Δ Vr.

The prescribed conditions related to the pressure P of the suspension cylinder 161 include: the variation amount Δ P per unit time of the pressure P of the suspension cylinder 161 is within the second variation range ± Δ Pr. The predetermined condition is satisfied when the fluctuation amount Δ P derived from the detection data of the pressure sensor 420 is within the second fluctuation range ± Δ Pr [% ], and the predetermined condition is not satisfied when the fluctuation amount Δ P is not within the second fluctuation range ± Pr [% ].

The "large fluctuation amount Δ P" means: the rough state of the road surface on which the dump truck 100 travels is severe. When the dump truck 100 travels on a road surface with a severe uneven state, the vibration characteristics of the axle device 1A change, and therefore the accuracy of the vibration analysis result based on the detection data of the vibration sensor 50 may decrease. Therefore, when detecting the vibration of the axle device 1A, the variation Δ P of the pressure P of the suspension cylinder 161 needs to be equal to or smaller than the second variation range ± Δ Pr.

The predetermined condition related to the accelerator opening degree W includes: the accelerator opening W is equal to or greater than a predetermined accelerator opening Wr (predetermined adjustment amount). The predetermined condition is satisfied when the accelerator opening W detected by the accelerator opening sensor 430 is equal to or greater than the predetermined accelerator opening Wr [% ], and the predetermined condition is not satisfied when the accelerator opening W is not equal to the predetermined accelerator opening Wr [% ].

When accelerator pedal 73 is operated and propeller shaft 3 rotates, gear 10 of axle device 1A also rotates. When the gear 10A is meshed with the gear 10B, the front tooth surface of the gear 10A is brought into contact with the rear tooth surface of the gear 10B as soon as the gear 10A rotates. On the other hand, when the accelerator pedal 73 is not operated and is in a so-called "engine brake (engine brake)" state, the front tooth surface of the gear 10A and the rear tooth surface of the gear 10B are separated from each other due to backlash (backlash between gears), and the rear tooth surface of the gear 10A and the front tooth surface of the gear 10B are in contact with each other. That is, the contact state of the tooth surface of the gear 10 changes based on the presence or absence of the operation or the operation amount of the accelerator pedal 73. Since the vibration characteristics of the axle device 1A change when the contact state of the tooth surface of the gear 10 changes, the accuracy of the vibration analysis result based on the detection data of the vibration sensor 50 may be reduced. Therefore, when detecting the vibration of the axle device 1A, the accelerator opening W needs to be equal to or greater than the predetermined accelerator opening Wr so that the contact state of the tooth surfaces of the gear 10 is fixed to reduce the influence of backlash.

The prescribed conditions relating to the steering angle θ of the steering device 170 include: the steering angle theta is within a prescribed steering angle + -theta r. The predetermined condition is satisfied when the steering angle θ of the steering device 170 detected by the steering angle sensor 440 is within the predetermined steering angle ± θ r, and the predetermined condition is not satisfied when the steering angle is not within the predetermined steering angle ± θ r.

The "steering angle θ is small" means that the dump truck 100 is in a straight traveling state, and the "steering angle θ is large" means that the dump truck 100 is in a turning state. The vibration of the axle device 1A is preferably detected under certain conditions. Further, when the dump truck 100 is in a turning state, the differential 4 causes a difference between the number of revolutions of the right gear 10 and the number of revolutions of the left gear 10 in the vehicle width direction, and the vibration characteristics of the axle device 1A change, so that there is a possibility that the accuracy of the vibration analysis result based on the detection data of the vibration sensor 50 may be reduced. Therefore, when detecting the vibration of the axle device 1A, the steering angle θ needs to be within the predetermined steering angle ± θ r, that is, the dump truck 100 needs to be in a substantially straight traveling state.

Vibration analysis

Fig. 7 is a diagram showing vibration spectrum characteristics of the vibration normal data and the vibration detection data according to the present embodiment. Fig. 7 shows vibration frequency spectra obtained by performing fast fourier transform on vibration normal data and vibration detection data. In fig. 7, the horizontal axis represents frequency and the vertical axis represents vibration intensity.

As shown in fig. 7, the obtained vibration spectrum differs between when the mechanical component is normal and when it is abnormal. In the present embodiment, the analysis unit 360 determines that there is an abnormality in the machine component when the difference Δ S between the peak value of the vibration spectrum calculated based on the vibration normal data and the peak value of the vibration spectrum calculated based on the vibration detection data is equal to or greater than a predetermined threshold value.

In the present embodiment, the analysis unit 360 identifies not only whether or not there is an abnormality in the machine component, but also the abnormal machine component. The analysis unit 360 specifies an abnormal machine component based on the correlation data stored in the correlation data storage unit 322.

Fig. 8 is a diagram showing an example of related data according to the present embodiment. As shown in fig. 8, the correlation data storage unit 322 stores correlation data indicating a relationship between the number of revolutions No of the propeller shaft 3 and the vibration characteristics of the axle device 1A detected by the vibration sensor 50 when the mechanical component is abnormal. The relevant data is derived, for example, by simulation based on design data of the axle device 1A. The design data of the axle device 1A includes: the tooth tip diameter, the reference circle diameter, and the number of teeth; and dimensions of the inner race.

For example, when the inner race of the first bearing is in an abnormal state and the propeller shaft 3 rotates at a predetermined number of revolutions No, the axle device 1A vibrates according to the first vibration characteristic. In the example shown in fig. 8, when the inner race of the first bearing is in an abnormal state and the propeller shaft 3 rotates at the number of revolutions No, the vibration of the frequency Nb1[ Hz ] is most clearly detected.

Further, when the outer race of the first bearing is in an abnormal state and the propeller shaft 3 rotates at the number of revolutions No, the axle device 1A vibrates according to the second vibration characteristic. In the example shown in fig. 8, the vibration at the frequency Nb2[ Hz ] is most clearly detected.

Similarly, when the inner ring of the second bearing is abnormal, the vibration of the frequency Nb3[ Hz ] is detected clearly, and when the outer ring of the second bearing is abnormal, the vibration of the frequency Nb4[ Hz ] is detected clearly.

Further, when the first gear is abnormal (tooth surface loss), the vibration of the frequency Ng1[ Hz ] is most conspicuously detected, when the first gear is abnormal (tooth surface wear), the vibration of the frequency Ng2[ Hz ] is most conspicuously detected, when the second gear is abnormal (tooth surface loss), the vibration of the frequency Ng3[ Hz ] is most conspicuously detected, and when the second gear is abnormal (tooth surface wear), the vibration of the frequency Ng4[ Hz ] is most conspicuously detected.

Thus, the vibration characteristics of the axle device 1A change based on the mechanical component in which the abnormality occurs. The correlation data indicating the vibration characteristics of the axle device 1A changed based on the mechanical component in which the abnormality occurs is derived in advance by simulation and stored in the correlation data storage unit 322. In addition, the correlation data can also be derived by actual experiments.

The analysis unit 360 can identify an abnormal machine component based on the correlation data stored in the correlation data storage unit 322 and the vibration detection data detected by the vibration sensor 50. For example, when the vibration sensor 50 most significantly detects the vibration of the frequency Nb1[ Hz ], the analysis unit 360 determines that the inner ring of the first bearing is abnormal. When the vibration sensor 50 detects the most significant vibration having the frequency Ng1 Hz, the analysis unit 360 determines that the first gear is abnormal (tooth defect).

In addition, the related data shown in fig. 8 is only one example. In practice, the correlation data is derived for a plurality of revolutions N, respectively. Further, correlation data based on various parameters, such as correlation data on the frequency of the acceleration component of the vibration, correlation data on the frequency of the velocity component of the vibration, and correlation data on the frequency of the displacement component of the vibration, are derived.

State detection method

Fig. 9 and 10 are flowcharts showing an example of the state detection method according to the present embodiment. Steps SA1 to SA8 shown in fig. 9 are processes of the control device 200, and steps SB1 to SB8 shown in fig. 10 are processes of the vibration analysis device 300.

The processing of the control device 200 will be described with reference to fig. 9. The traveling state data acquisition unit 240 of the control device 200 acquires traveling state data indicating the traveling state of the dump truck 100 from the traveling state detection device 400 (step SA 1).

The condition satisfaction determination unit 260 determines whether or not the traveling state acquired by the traveling state data acquisition unit 240 satisfies the predetermined condition stored in the predetermined condition storage unit 221 (step SA 2).

If it is determined at step SA2 that the running state does not satisfy the predetermined condition (no at step SA2), the process returns to step SA1, and the running state data acquisition unit 240 continues to acquire running state data.

If it is determined at step SA2 that the traveling state satisfies the predetermined condition (yes at step SA2), trigger unit 270 determines whether or not the elapsed time from the time point at which the predetermined condition was first determined to be satisfied exceeds a predetermined time (step SA 3).

If it is determined at step SA3 that the elapsed time has not exceeded the predetermined time (no at step SA3), the process returns to step SA1, traveling state data acquisition unit 240 continues to acquire traveling state data, and trigger unit 270 determines whether or not the elapsed time from the time point when the traveling state satisfies the predetermined condition exceeds the predetermined time.

When it is determined at step SA3 that the elapsed time exceeds the predetermined time (yes at step SA3), flip-flop 270 outputs a trigger signal to analyzer 360 (step SA 4). That is, the trigger unit 270 outputs a trigger signal to the analysis unit 360 when it is determined that the traveling state of the dump truck 100 satisfies the predetermined condition is maintained for the predetermined time.

As described below, the output unit 370 of the vibration analysis device 300 outputs an analysis result indicating that the machine component is abnormal and an analysis result indicating that the machine component determined to be abnormal. The input/output interface 230 of the control device 200 acquires the analysis result output from the vibration analysis device 300 (step SA 5). This means that the result of the parsing in step SB5 shown in FIG. 10 is to the hand.

The input/output interface 230 outputs the analysis result to the reporting apparatus 80. The reporting device 80 reports the analysis result to the driver of the dump truck 100 (step SA 6). When the analysis unit 360 determines that there is an abnormality in the machine component, if the reporting device 80 includes a display device, display data indicating that there is an abnormality in the machine component is displayed. Further, if the reporting device 80 includes a sound output device, a sound indicating that there is an abnormality in the mechanical component is output. The reporting device 80 may display data indicating that the machine component is normal, or output a sound indicating that the machine component is normal.

The input/output interface 230 also outputs the analysis result to the data storage 223. The data storage 223 stores the analysis result (step SA 7).

Further, the input/output interface 230 outputs the analysis result to the communication device 180. Communication device 180 transmits the analysis result to server 500 (step SA 8).

The abnormality determination unit 540 of the arithmetic processing device 510 determines whether or not the axle device 1A of the dump truck 100 is abnormal based on the analysis result. Further, the analysis results of the axle devices 1A are transmitted from the plurality of dump trucks 100 to the server 500. The abnormality determination unit 540 determines whether or not each of the axle devices 1A of the plurality of dump trucks 100 is abnormal. The analysis results and the abnormality determination results of the plurality of axle devices 1A are stored in the data storage unit 550 of the storage device 520. The maintenance person of the dump truck 100 can perform maintenance on the dump truck 100 based on the analysis result or the abnormality determination result stored in the data storage unit 550.

In the present embodiment, the process of the reporting device 80 reporting the analysis result to the driver of the dump truck 100 (step SA6) may be omitted.

Next, the processing of the vibration analysis device 300 will be described with reference to fig. 10. Similarly to the traveling state data acquisition unit 240 of the control device 200, the traveling state data acquisition unit 340 of the vibration analysis device 300 also acquires traveling state data indicating the traveling state of the dump truck 100 from the traveling state detection device 400. The traveling state data acquired by the traveling state data acquiring unit 240 is the same as the traveling state data acquired by the traveling state data acquiring unit 340. Further, the vibration detection data acquisition unit 350 of the vibration analysis device 300 acquires the vibration detection data of the axle device 1A from the vibration sensor 50 (step SB 1).

The data storage 323 stores the vibration detection data acquired by the vibration detection data acquisition unit 350 (step SB 2). The data storage unit 323 sequentially stores a plurality of pieces of vibration detection data according to the elapsed time.

When the running state satisfies the predetermined condition and is maintained for a predetermined time, the analysis unit 360 acquires the trigger signal output from the trigger unit 270. As described above, the trigger unit 270 outputs the trigger signal to the analysis unit 360 (step SA 4). The analysis unit 360 acquires the vibration detection data acquired during a period between the current time tn at which the trigger signal is acquired and the trace time ta traced back by a predetermined time from the current time tn from the data storage unit 323 (step SB 3).

The analysis unit 360 also acquires the vibration normal data from the vibration normal data storage unit 321 (step SB 4).

The analysis unit 360 analyzes the state of the axle device 1A based on the vibration detection data acquired from the data storage unit 323 during the period between the current time tn and the trace time ta. The analysis unit 360 analyzes the state of the axle device 1A when the vibration detection data is acquired by the driving condition data acquisition unit 340 within a predetermined time period in which the driving condition satisfies a predetermined condition, based on the vibration normal data stored in the vibration normal data storage unit 321 and the vibration detection data acquired at step SB3 (step SB 5).

As described with reference to fig. 7, the analysis unit 360 performs, for example, fast fourier transform on the vibration normal data and the vibration detection data, respectively, and calculates a vibration spectrum.

The analysis unit 360 compares the vibration normal data with the vibration detection data to determine whether or not there is an abnormality in the mechanical components of the axle device 1A (step SB 6).

As described with reference to fig. 7, the analysis unit 360 determines whether or not the machine component is abnormal based on whether or not the difference Δ S between the peak value of the vibration spectrum calculated based on the vibration normal data and the peak value of the vibration spectrum calculated based on the vibration detection data is equal to or greater than a predetermined threshold value.

When the difference Δ S does not reach the threshold value and it is determined that there is no abnormality in the machine component in step SB6 (no in step SB6), the output unit 370 outputs an analysis result indicating that there is no abnormality in the machine component (step SB 8).

When the difference Δ S is equal to or greater than the threshold value and it is determined that the machine component is abnormal in step SB6 (no in step SB6), the analysis unit 360 specifies an abnormal machine component based on the correlation data and the vibration detection data stored in the correlation data storage unit 322 (step SB 7).

As described with reference to fig. 8, the correlation data storage unit 322 stores correlation data indicating a relationship between the number of revolutions N of the propeller shaft 3 and the vibration characteristics of the axle device 1A when the mechanical component is abnormal. When the number N of revolutions of the propeller shaft 3 is the number No and the frequency at which the difference Δ S is equal to or greater than the threshold value as shown in fig. 7 is Ng1, for example, the analysis unit 360 can determine that the first gear is abnormal (tooth defect).

The output unit 370 outputs the analysis result indicating that the machine component has an abnormality and the analysis result indicating the machine component determined to have an abnormality (step SB 8).

As described above, the output unit 370 outputs the analysis result to the control device 200. The input/output interface 230 of the control device 200 acquires the analysis result output from the vibration analysis device 300 (step SA 5).

Effect

As described above, according to the present embodiment, the state of the axle device 1A is analyzed based on the vibration detection data detected when the traveling state of the dump truck 100 satisfies the predetermined condition. This makes it possible to analyze the state of the axle device 1A under the condition that the traveling state is constant. When the traveling state satisfies the predetermined condition, the influence of the external disturbance on the vibration detection data detected by the vibration sensor 50 is suppressed. Therefore, the state of the axle device 1A can be reliably recognized based on the analysis result of the vibration detection data, and abnormality of the mechanical component can be detected early.

Other embodiments

In the above embodiment, the running state is detected by the running state detection device 400, and the state of the axle device 1A is analyzed based on the vibration detection data detected by the vibration sensor 50 when the running state detected by the running state detection device 400 satisfies the predetermined condition. For example, when the position data indicating the position of the dump truck 100 when the traveling state of the dump truck 100 satisfies the predetermined condition is acquired by the position acquisition unit 250 and stored in the position data storage unit 222, the analysis unit 360 may analyze the state of the axle device 1A based on the vibration detection data acquired when the dump truck 100 travels at the position. The dump truck 100 travels a plurality of times on a predetermined route in many cases. At a certain position in the route, there is a high possibility that the traveling state of the dump truck 100 is always fixed. In such a case, even if the travel state detection device 400 does not constantly monitor the travel state of the dump truck 100, the condition satisfaction determination unit 260 can determine that the travel state of the dump truck 100 satisfies the predetermined condition when the dump truck 100 travels at the position. That is, when the dump truck 100 travels a plurality of times along the predetermined route, the travel state detection device 400 detects the travel state for the first one or more times, and then the analysis unit 360 can analyze the state of the axle device 1A based on the vibration detection data acquired when the dump truck 100 travels at that position.

In the above-described embodiment, at least a part of the functions of the control device 200 may be provided in the server 500, and at least a part of the functions of the vibration analysis device 300 may be provided in the server 500. For example, the control device 200 may be mounted on the dump truck 100, and the vibration analysis device 300 may be disposed outside the dump truck 100.

The state detection system 1000 and the state detection method described in the above embodiments can also be applied to the transmission 1B.

In the above-described embodiment, the dump truck 100 may be an unmanned dump truck that travels by remote operation or autonomously. Further, when the dump truck 100 is an unmanned dump truck, the throttle opening degree (accelerator opening degree) of the throttle valve of the power source 70 is adjusted based on the remote operation signal or the control signal.

In the above embodiment, the dump truck 100 is assumed to be a rigid dump truck. The dump truck 100 may be a hinged dump truck having a front frame, a rear frame, and a joint mechanism connecting the front frame and the rear frame.

In the above-described embodiment, the work vehicle 100 is assumed to be a dump truck. The work vehicle 100 may be a wheel loader, for example, as long as it is a wheel-driven work vehicle.

Description of the symbols

1 rotary machine, 1A axle device (rotary machine), 1B transmission device (rotary machine), 2 axle housing, 2A differential body, 2B side portion, 2H internal space, 3 propeller shaft, 8 pinion carrier, 10 gear, 20 bearing, 50 vibration sensor, 60 position sensor, 70 power source, 73 accelerator pedal (adjustment device), 80 report device, 100 dump truck (work vehicle), 110 frame, 120 dump truck, 130 travel device, 140 tire, 150 wheel 150F front wheel 150R rear wheel, 160 suspension device, 170 steering device, 180 communication device, 190 communication device, 200 control device, 210 arithmetic processing device, 220 storage device, 221 predetermined condition storage unit, 222 position data storage unit, 223 data storage unit, 230 input/output interface, 240 running state data acquisition unit, 241 revolution number acquisition unit, 242 pressure acquisition unit, 243 accelerator opening degree acquisition unit, 244 steering angle acquisition unit, 250 position acquisition unit, 260 condition establishment determination unit, 270 trigger unit, 300 vibration analysis unit, 310 calculation processing unit, 320 storage unit, 321 vibration normal data storage unit, 322-related data storage unit, 323 data storage unit, 330 input/output interface, 340 running state data acquisition unit, 350 vibration detection data acquisition unit, 360 analysis unit, 370 output unit, 400 running state detection unit, 410 revolution number sensor, 420 pressure sensor, 430 accelerator opening degree sensor, 440 steering angle sensor, 500 server, 510 calculation processing unit, 520 storage unit, 530 input/output interface, 440 steering angle sensor, and the like, 540 abnormality determination unit, 550 data accumulation unit, 1000 state detection system, AX rotation axis, BX rotation axis.