CN109190771B - Vehicle maintenance method and related equipment - Google Patents
Vehicle maintenance method and related equipment Download PDFInfo
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- CN109190771B CN109190771B CN201810970359.XA CN201810970359A CN109190771B CN 109190771 B CN109190771 B CN 109190771B CN 201810970359 A CN201810970359 A CN 201810970359A CN 109190771 B CN109190771 B CN 109190771B
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Abstract
The embodiment of the application discloses a vehicle maintenance method and related equipment, wherein the method is applied to an intelligent robot and comprises the following steps: acquiring vehicle identification information; acquiring fault information of the vehicle; transmitting the vehicle identification information and the fault information to a blockchain system; receiving maintenance information sent by the block chain system, wherein the maintenance information is generated according to the vehicle identification information and the fault information; and maintaining the vehicle according to the maintenance information. The embodiment of the application can rapidly and conveniently maintain the vehicle.
Description
Technical Field
The present application relates to the field of computer technologies, and in particular, to a vehicle maintenance method and related equipment.
Background
The automobile is an indispensable vehicle in people's life. At present, the maintenance of the automobile mainly depends on an automobile sales service 4S (4S), but the maintenance cost of the 4S is high, and the automobile can be maintained only during the business hours of the 4S, so that the problem that the automobile needs to be maintained in an emergency cannot be solved. How to conveniently repair the automobile is a technical problem which is being researched by the technicians in the field.
Content of application
The embodiment of the application provides a vehicle maintenance method and related equipment, which can be used for conveniently and rapidly maintaining a vehicle.
In a first aspect, an embodiment of the present application provides a vehicle maintenance method, which is applied to an intelligent robot, and the method includes: acquiring vehicle identification information; acquiring fault information of a vehicle; transmitting the vehicle identification information and the fault information to a blockchain system; receiving maintenance information sent by the block chain system, wherein the maintenance information is generated according to the vehicle identification information and the fault information; and maintaining the vehicle according to the maintenance information.
Further, the maintenance information includes an operation instruction for the intelligent robot to maintain the vehicle, and the block chain system prestores a corresponding relationship between the vehicle identification information and the fault information and the operation instruction.
Further, in the block chain system, vehicle type information contained in information blocks on the same data chain is the same, and the information blocks record vehicle identification information, fault information and operation instructions of the vehicle.
Still further, the vehicle repair method further includes: if the diagnosis abnormity is detected, feeding back a notification message of an identification error to the block chain system; receiving a manual operation instruction input according to the vehicle identification information and the fault information; maintaining the vehicle according to the manual operation instruction; triggering storage of the vehicle identification information, the fault information and the manual operation instruction in the blockchain system; wherein the diagnosing the abnormality comprises: and identifying abnormal fault information of the vehicle or receiving an error instruction sent by the blockchain system.
In a second aspect, an embodiment of the present application provides a vehicle maintenance method, which is applied to a block link node device that accesses a block link system, and the method includes: receiving vehicle identification information and fault information sent by an intelligent robot; generating maintenance information according to the vehicle identification information and the fault information, wherein the maintenance information is used for indicating the intelligent robot to maintain the vehicle, and the block chain system is pre-stored with the corresponding relation between the vehicle identification information and the fault information and the maintenance information; and sending the maintenance information to the intelligent robot.
Further, the vehicle repair method further includes: receiving vehicle identification information, fault information, maintenance information or manual operation instructions sent by an intelligent robot, wherein the manual operation instructions are operation instructions which are received by the intelligent robot and input manually according to the vehicle identification information and the fault information; and processing the vehicle identification information, the fault information, the maintenance information and the manual operation instruction by utilizing a machine learning algorithm in combination with a big data analysis mode so as to update the corresponding relation between the vehicle identification information and the fault information and the maintenance information by the block chain system.
Still further, the vehicle repair method further includes: and if the block link point equipment receives the notification message of the identification error fed back by the intelligent robot, issuing a maintenance task according to the vehicle identification information and the fault information.
In a third aspect, an embodiment of the present invention provides an intelligent robot, including a processor and a memory, where the memory is used for storing program instructions, and the processor is configured to call the program instructions to execute the vehicle repair method of the first aspect.
In a fourth aspect, embodiments of the present invention provide a block link point device, which includes a processor and a memory, where the memory is used for storing program instructions, and the processor is configured to call the program instructions to execute the vehicle repair method of the second aspect.
In a fifth aspect, the present application provides another intelligent robot, including a processor, an input device, an output device, and a memory, where the processor, the input device, the output device, and the memory are connected to each other, where the memory is used to store application program codes that support a terminal to execute the method of the first aspect, and the processor is configured to execute the vehicle maintenance method of the first aspect.
In a sixth aspect, the present application provides another blockchain node device, including a processor, an input device, an output device, and a memory, where the processor, the input device, the output device, and the memory are connected to each other, where the memory is used to store application program codes for supporting a terminal to execute the method of the second aspect, and the processor is configured to execute the vehicle repair method of the second aspect.
In a fourth aspect, the present embodiments provide a computer-readable storage medium storing a computer program, the computer program comprising program instructions that, when executed by a processor, cause the processor to perform the vehicle repair method of the first or second aspect.
In the embodiment of the application, the intelligent robot acquires the vehicle identification information and the fault information of the vehicle and sends the vehicle identification information and the fault information to the blockchain system. And the block chain system generates maintenance information according to the vehicle identification information and the fault information, and sends the maintenance information to the intelligent robot so that the intelligent robot maintains the vehicle according to the maintenance information. By the mode, a maintenance worker is not needed to detect and repair the vehicle, and convenience for repairing the vehicle is improved.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings needed to be used in the description of the embodiments are briefly introduced below, and it is obvious that the drawings in the following description are some embodiments of the present application, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without creative efforts.
FIG. 1 is a schematic diagram of a system architecture for vehicle maintenance provided by an embodiment of the present application;
FIG. 2 is a flow chart of a vehicle service method provided by an embodiment of the present application;
fig. 3 is a schematic diagram of an intelligent robot provided in an embodiment of the present application;
FIG. 4 is a schematic diagram of a block link point apparatus provided by an embodiment of the present application;
FIG. 5 is a schematic diagram of another intelligent robot provided by an embodiment of the present application;
fig. 6 is a schematic view of another block link point device provided in the embodiments of the present application.
Detailed Description
Technical solutions in the embodiments of the present application will be described in more detail below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are some, but not all, embodiments of the present application. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
It will be understood that the terms "comprises" and/or "comprising," when used in this specification and the appended claims, specify the presence of stated features, integers, steps, operations, elements, and/or components, but do not preclude the presence or addition of one or more other features, integers, steps, operations, elements, components, and/or groups thereof.
It is also to be understood that the terminology used in the description of the present application herein is for the purpose of describing particular embodiments only and is not intended to be limiting of the application. As used in the specification of the present application and the appended claims, the singular forms "a," "an," and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise.
It should be further understood that the term "and/or" as used in this specification and the appended claims refers to and includes any and all possible combinations of one or more of the associated listed items.
As used in this specification and the appended claims, the term "if" may be interpreted contextually as "when", "upon" or "in response to a determination" or "in response to a detection". Similarly, the phrase "if it is determined" or "if [ a described condition or event ] is detected" may be interpreted to mean "upon determining" or "in response to determining," depending on the context.
Referring to fig. 1, a schematic diagram of a system architecture for vehicle maintenance provided in an embodiment of the present application, the system includes a faulty vehicle, an intelligent robot, a blockchain node device, and a blockchain system, which are further described below.
When the fault vehicle needs to be maintained, the fault vehicle can be driven to a designated maintenance site and then maintained by the intelligent robot, and the intelligent robot can also move to the position of the fault vehicle to maintain the fault vehicle.
The intelligent robot, which is equipment for repairing vehicles in the method, can detect and repair fault vehicles. Furthermore, the intelligent robot can recognize the surrounding environment state, make a reactive action to the outside, and think about what kind of operation is adopted according to the information obtained by the sensory elements. The sensory elements include non-contact sensors capable of sensing vision, proximity, distance, and the like, and contact sensors capable of sensing force, pressure, touch, and the like.
And the block chain node equipment is used for receiving various messages sent by the intelligent robot and transmitting instructions to the intelligent robot according to the messages. The blockchain link point device accesses a blockchain system.
And the block chain system is used for storing the corresponding relation between the vehicle identification information and the fault information in the scheme and the operation instruction. A plurality of interconnected and interactive block chain link point devices form the block chain system.
Referring to fig. 2, which is a flowchart of a vehicle maintenance method provided in an embodiment of the present application, the method may be implemented based on the architecture shown in fig. 1, and an intelligent robot described below may be an intelligent robot in the system architecture shown in fig. 1; the blockchain system described below may be the blockchain system in the system architecture shown in fig. 1. The method can comprise the following steps:
s201, the intelligent robot acquires vehicle identification information. The vehicle identification information may include information such as a brand, a color, a license plate, and a Vehicle Identification Number (VIN) of the vehicle. Optionally, the intelligent robot may analyze information such as a brand, a yearly payment, and an engine model of the vehicle through the vehicle identification number of the vehicle.
Optionally, the intelligent robot includes a camera unit, and the intelligent robot acquires the vehicle identification information through the camera unit. The mode that the intelligent robot acquires the vehicle identification information of the vehicle through the camera shooting unit can be as follows: the intelligent robot judges whether the acquired vehicle identification information is complete, and if the acquired vehicle identification information is incomplete, the intelligent robot moves the position of the intelligent robot and acquires the rest vehicle identification information through the camera unit; if the number of the acquired vehicle identification information is complete, the intelligent robot stops the operation of acquiring the vehicle identification information. The vehicle identification information is complete, and all information contained in the representative vehicle identification information is collected. For example, the vehicle identification information includes four items of information, i.e., a brand, a color, a license plate, and a vehicle identification number of the vehicle, and when the vehicle identification information acquired by the intelligent robot includes the brand, the color, the license plate, and the vehicle identification number of the vehicle, it represents that the vehicle identification information acquired by the intelligent robot is complete.
Optionally, the intelligent robot pre-stores a corresponding relationship between the vehicle identification information and the position information. For example, the vehicle identification number of the vehicle corresponds to a position on the left side of the front windshield of the vehicle, the brand information of the vehicle corresponds to a position of a logo in front of the vehicle, the license plate information of the vehicle corresponds to a position where a license plate is hung in front of or behind the vehicle, the color information of the vehicle corresponds to a position on any place on the vehicle shell, and so on.
S202, the intelligent robot acquires the fault information of the vehicle.
Optionally, the intelligent robot includes a fault detection unit, and the intelligent robot identifies fault information of the vehicle through the fault detection unit. The mode of the intelligent robot identifying the fault information of the vehicle through the fault detection unit may be: the intelligent robot is connected with the fault detection unit and an on-board diagnostic (OBD) system of the vehicle, and the fault detection unit receives fault information sent by the on-board diagnostic system.
S203, the intelligent robot sends the vehicle identification information and the fault information to the block chain system, and correspondingly, the block chain system receives the vehicle identification information and the fault information sent by the intelligent robot.
And S204, generating maintenance information by the block chain system according to the vehicle identification information and the fault information.
Wherein, this maintenance information is used for instructing this intelligent robot to maintain the vehicle according to this operating instruction.
Specifically, the block chain system is pre-stored with correspondence between vehicle identification information and fault information and the maintenance information. For example, the blockchain system may store vehicle identification information and fault information and the service information in the form of a data table. The form of the data table may be as shown in table one.
Watch 1
| Vehicle identification information | Fault information | Operation instruction |
| Engine type A2 | Failure information A1 | P1 |
| Vehicle color B2 | Failure information B1 | P2 |
| Automobile brand C2 | Failure information C1 | P3 |
| Is composed of | Fault information D1 | P4 |
As shown in table one, there are many possible situations for the vehicle identification information and the correspondence of the failure information to the operation instruction. For example, the vehicle identification information and the failure information a1 of "engine model a 2" correspond to the operation command represented by P1, and the failure information a1 is information on the failure of the engine, and the operation command differs for different engine models. Vehicle identification information of "vehicle color B2" and failure information B1 corresponding to the operation instruction represented by P2, the failure information B1 being failure information about the vehicle color; for example, the fault information B1 may represent that a scratch has occurred at the rear of the vehicle, and the corresponding operating instruction represented by P2 may be to repair the scratch using the vehicle paint with the color B2. The vehicle identification information and the trouble information C1 of "automobile brand C2" correspond to the operation command represented by P3, and the trouble information C1 is the trouble information on the automobile brand, and the operation command differs for different automobile brands. The vehicle identification information of "failure information D1" corresponds to the operation command represented by P4, and this failure information D1 is failure information applicable to various vehicles. It should be noted that, this table i only exemplifies the correspondence between the vehicle identification information and the fault information and the operation command, and the correspondence between the vehicle identification information and the fault information and the operation command is not limited to the correspondence listed in the table i.
Optionally, in the block chain system, vehicle type information included in information blocks on the same data chain is the same, and the information blocks record vehicle identification information, fault information, and operation instructions of the vehicle. In the process that the block chain system matches the operation instruction corresponding to the vehicle identification information and the fault information, the data chain of the vehicle type where the vehicle is located can be searched first, and then the operation instruction corresponding to the vehicle identification information and the fault information is matched in the data chain. In this way, the time required to determine the operation instruction can be reduced, and the efficiency of vehicle maintenance can be improved.
S205, the block chain system sends the maintenance information to the intelligent robot, and correspondingly, the intelligent robot receives the maintenance information sent by the block chain system.
And S206, the intelligent robot maintains the vehicle according to the maintenance information.
Optionally, if a diagnosis abnormality is detected, the intelligent robot feeds back a notification message of an identification error to the blockchain system. Wherein the diagnostic anomaly comprises: and identifying abnormal fault information of the vehicle or receiving an error command sent by the block chain system. And when the block chain system receives the notification message of the identification error fed back by the intelligent robot, the block chain system issues a maintenance task according to the vehicle identification information and the fault information.
Optionally, the repair task may include the vehicle identification information and the fault information and the address where the vehicle is located. After the maintenance personnel receive the maintenance task, the maintenance personnel can drive to the address where the vehicle is located to maintain the vehicle. Optionally, after the maintenance personnel receives the maintenance task, an operation instruction may be sent to the intelligent robot remotely, so that the intelligent robot maintains the vehicle according to the sent operation instruction.
Next, the intelligent robot receives a manual operation instruction input according to the vehicle identification information and the fault information, and repairs the vehicle according to the manual operation instruction. The manual operation instruction can be an operation instruction input by a maintenance worker for repairing the vehicle on site, and can also be an operation instruction input by the maintenance worker remotely. Optionally, the intelligent robot triggers storage of the vehicle identification information, the fault information and the manual operation instruction in the blockchain system. In this way, in the case that the intelligent robot diagnoses an abnormality, the intelligent robot can record the input manual operation instruction and trigger the vehicle identification information, the fault information and the manual operation instruction to be stored in the block chain system, so that the intelligent robot can use the manual operation instruction to maintain the vehicle when the vehicle identification information and the maintenance information are the same in the subsequent process.
Optionally, after the intelligent robot completes the maintenance of the vehicle, the intelligent robot further sends identification information, fault information and manual operation instructions to the blockchain system, so that the blockchain system stores the identification information, the fault information and the manual operation instructions.
Optionally, the block chain system may further receive vehicle identification information, fault information, maintenance information or a manual operation instruction sent by the intelligent robot, where the manual operation instruction is an operation instruction manually input by the intelligent robot according to the vehicle identification information and the fault information; and processing the vehicle identification information, the fault information, the maintenance information and the manual operation instruction by utilizing a machine learning algorithm in combination with a big data analysis mode so as to update the corresponding relation between the vehicle identification information and the fault information and the maintenance information by the block chain system.
Specifically, the vehicle identification information, the fault information, the maintenance information and the manual operation instruction are processed by a machine learning algorithm in combination with a big data analysis mode in a way that: and the block chain system judges the quality degree of the maintenance information or the manual operation instruction corresponding to the vehicle identification information and the fault information by using a machine learning algorithm and combining a big data analysis mode and taking the maintenance time and the subsequent use feedback of the vehicle as judgment standards. Specifically, the shorter the maintenance time, the better the vehicle's subsequent use feedback is to represent the quality of the maintenance information or manual operation instructions. Optionally, the blockchain system may update the better quality maintenance information in real time, or the blockchain system may update the better quality maintenance information periodically. By the method, the vehicle identification information and the maintenance information corresponding to the fault information can be continuously optimized, and the vehicle maintenance efficiency is improved.
In the method shown in fig. 2, the intelligent robot acquires vehicle identification information and fault information of a vehicle and transmits the vehicle identification information and fault information to the blockchain system. And the block chain system generates maintenance information according to the vehicle identification information and the fault information, and sends the maintenance information to the intelligent robot so that the intelligent robot maintains the vehicle according to the maintenance information. By the mode, a maintenance worker is not needed to detect and repair the vehicle, and convenience for repairing the vehicle is improved.
Fig. 3 is a schematic view of an intelligent robot according to an embodiment of the present disclosure. The intelligent robot 30 includes a first acquiring unit 301, a second acquiring unit 302, a transmitting unit 303, a receiving unit 304, and a maintenance unit 305, which are described in detail below.
A first acquisition unit 301 for acquiring vehicle identification information.
A second obtaining unit 302, configured to obtain fault information of the vehicle.
A transmitting unit 303, configured to transmit the vehicle identification information and the failure information to the blockchain system.
A receiving unit 304, configured to receive maintenance information sent by the blockchain system, where the maintenance information is generated according to the vehicle identification information and the fault information.
A maintenance unit 305 for maintaining the vehicle according to the maintenance information.
In an alternative scheme, the correspondence between the vehicle identification information and the fault information and the operation instruction is prestored in the blockchain system. Specifically, there may be many possible situations for the correspondence between the vehicle identification information and the failure information and the operation instruction.
In an alternative scheme, in the block chain system, vehicle type information contained in information blocks on the same data chain is the same, and the information blocks record vehicle identification information, fault information and operation instructions of the vehicle. In the process that the block chain system matches the operation instruction corresponding to the vehicle identification information and the fault information, the data chain of the vehicle type where the vehicle is located can be searched first, and then the operation instruction corresponding to the vehicle identification information and the fault information is matched in the data chain. By this apparatus, the time required for determining an operation instruction can be reduced, and the efficiency of repairing the vehicle can be improved.
In an optional scheme, the intelligent robot further comprises an abnormality diagnosis unit, wherein the abnormality diagnosis unit is used for detecting and diagnosing abnormality; wherein the diagnostic anomaly comprises: and identifying abnormal fault information of the vehicle or receiving an error command sent by the blockchain system. The sending unit 303 is further configured to feed back a notification message identifying the error to the blockchain system. The receiving unit 304 is also configured to receive a manual operation instruction input according to the vehicle identification information and the failure information. The maintenance unit 305 is also used for maintaining the vehicle according to the manual operation instruction. The sending unit 303 is further configured to trigger the vehicle identification information and the fault information and the manual operation instruction to be stored in the blockchain system.
By the intelligent robot, under the condition of abnormal diagnosis, the intelligent robot can record an input manual operation instruction and trigger the vehicle identification information, fault information and the manual operation instruction to be stored in the block chain system, so that the vehicle can be maintained by the intelligent robot when the condition identical to the vehicle identification information and the fault information is met again in the following process.
In the intelligent robot shown in fig. 3, the intelligent robot acquires vehicle identification information and fault information of a vehicle and transmits the vehicle identification information and fault information to the blockchain system. And the block chain system generates maintenance information according to the vehicle identification information and the fault information, and sends the maintenance information to the intelligent robot so that the intelligent robot maintains the vehicle according to the maintenance information. Through the equipment, a maintenance worker is not needed to detect and repair the vehicle, and the convenience of repairing the vehicle is improved.
Referring to fig. 4, a schematic diagram of a block link point device according to an embodiment of the present disclosure is shown. The block link point device 40 includes a receiving unit 401, a determining unit 402, and a transmitting unit 403, each of which will be described in detail below.
And a receiving unit 401, configured to receive the vehicle identification information and the fault information sent by the intelligent robot.
A determining unit 402, configured to generate maintenance information according to the vehicle identification information and the fault information, where the maintenance information is used to instruct the intelligent robot to maintain the vehicle, and a corresponding relationship between the vehicle identification information and the fault information and a maintenance instruction is pre-stored in the block chain system.
A sending unit 403, configured to send the maintenance information to the intelligent robot.
In an optional manner, the receiving unit 401 is further configured to receive vehicle identification information, fault information, maintenance information, or a manual operation instruction sent by the intelligent robot, where the manual operation instruction is an operation instruction that is received by the intelligent robot and is manually input according to the vehicle identification information and the fault information. The block chain node device 40 further comprises a processing unit, wherein the processing unit is used for processing the vehicle identification information, the fault information, the maintenance information and the manual operation instruction by combining a big data analysis mode through a machine learning algorithm, so that the block chain system can update the corresponding relation between the vehicle identification information and the fault information and the maintenance information. By the method, the vehicle identification information and the maintenance information corresponding to the fault information can be continuously optimized, and the vehicle maintenance efficiency is improved.
In an optional manner, the receiving unit 401 is further configured to receive a notification message of an identification error fed back by the intelligent robot, and the sending unit 403 is further configured to issue a maintenance task according to the vehicle identification information and the failure information. With this apparatus, in the case where the intelligent robot diagnoses an abnormality, a feedback notification message of an identification error can be received, and a maintenance task is issued so that the vehicle can receive maintenance as soon as possible.
In the block link point device shown in fig. 4, the intelligent robot acquires vehicle identification information and failure information of the vehicle and transmits the vehicle identification information and failure information to the block link point device. And the block chain node equipment generates maintenance information according to the vehicle identification information and the fault information, and sends the maintenance information to the intelligent robot so that the intelligent robot maintains the vehicle according to the maintenance information. Through this kind of block chain link point equipment, need not the maintenance personal and detect and repair the vehicle, promoted the convenience of repairing the vehicle.
Fig. 5 is a schematic view of another intelligent robot provided in the embodiment of the present application. The smart robot 50 may include: one or more processors 501; one or more input devices 502, one or more output devices 503, and memory 504. The processor 501, the input device 502, the output device 503, and the memory 504 are connected by a bus 505. The memory 504 is used for storing instructions and the processor 501 is used for executing the instructions stored by the memory 504. Wherein, the processor 501 is configured to:
the vehicle identification information is acquired through an input device 502, which here may be a camera.
The failure information of the vehicle is acquired through an input device 502, which here may be a communication interface.
The vehicle identification information and the fault information are sent to the blockchain system through the output device 503. The output device here may be a communication interface, but may also be a wireless network device.
The maintenance information sent by the blockchain system is received through the input device 502, and the maintenance information is generated according to the vehicle identification information and the fault information. The input device here may be a communication interface, but also a wireless network device.
And maintaining the vehicle according to the operation instruction.
In an alternative, the correspondence between the vehicle identification information and the fault information and the operation command is pre-stored in the blockchain system. Specifically, there may be many possible situations for the correspondence between the vehicle identification information and the failure information and the operation instruction.
In an alternative scheme, in the blockchain system, vehicle type information contained in information blocks on the same data chain is the same, and the information blocks record vehicle identification information, fault information and operation instructions of the vehicle. In the process that the block chain system matches the operation instruction corresponding to the vehicle identification information and the fault information, the data chain of the vehicle type where the vehicle is located can be searched first, and then the operation instruction corresponding to the vehicle identification information and the fault information is matched in the data chain. By this apparatus, the time required for determining an operation instruction can be reduced, and the efficiency of repairing the vehicle can be improved.
In an optional aspect, the processor is further configured to: if a diagnostic anomaly is detected, a notification message identifying the error is fed back to the blockchain system through the output device 503; receiving a manual operation instruction input according to the vehicle identification information and the failure information through the input device 502; maintaining the vehicle according to the manual operation instruction; triggering the vehicle identification information, the fault information and the manual operation instruction to be stored in the block chain system; wherein the diagnostic anomaly comprises: and identifying abnormal fault information of the vehicle or receiving an error command sent by the blockchain system.
By the intelligent robot, under the condition of abnormal diagnosis, the intelligent robot can record an input manual operation instruction and trigger the vehicle identification information, fault information and the manual operation instruction to be stored in the block chain system, so that the vehicle can be maintained by the intelligent robot when the condition identical to the vehicle identification information and the fault information is met again in the following process.
It should be understood that, in the embodiment of the present application, the processor 501 may be a Central Processing Unit (CPU), and the processor may also be other general-purpose processors, Digital Signal Processors (DSPs), Application Specific Integrated Circuits (ASICs), field-programmable gate arrays (FPGAs) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, and the like. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like.
The memory 504, which may include both read-only memory and random-access memory, provides instructions and data to the processor 501. A portion of the memory 504 may also include non-volatile random access memory. For example, the memory 504 may also store device type information.
In a specific implementation, the processor 501, the input device 502, and the output device 503 described in this embodiment of the present application may execute the implementation described in the embodiment of the vehicle repair method provided in this embodiment of the present application, and may also execute the implementation of the terminal described in this embodiment of the present application, which is not described herein again.
In the intelligent robot shown in fig. 5, the intelligent robot acquires vehicle identification information and fault information of a vehicle and transmits the vehicle identification information and fault information to the blockchain system. And the block chain system generates maintenance information according to the vehicle identification information and the fault information, and sends the maintenance information to the intelligent robot so that the intelligent robot maintains the vehicle according to the maintenance information. Through this kind of intelligent robot, need not maintainer and detect and repair the vehicle, promoted the convenience of repairing the vehicle.
Referring to fig. 6, a schematic diagram of another block link point device provided in the embodiments of the present application is shown. The block link point device 60 may include: one or more processors 601; one or more input devices 602, one or more output devices 603, and memory 604. The processor 601, the input device 602, the output device 603, and the memory 604 are connected by a bus 605. The memory 604 is used to store instructions and the processor 601 is used to execute instructions stored by the memory 604. Wherein, the processor 601 is configured to:
the vehicle identification information and the fault information transmitted by the intelligent robot are received through the input device 602. The input device may be a communication interface or may be a wireless network device.
And generating maintenance information according to the vehicle identification information and the fault information, wherein the maintenance information is used for indicating the intelligent robot to maintain the vehicle, and the block chain system is pre-stored with the corresponding relation between the vehicle identification information and the fault information and the operation instruction.
The maintenance information is sent to the intelligent robot through the output device 603. The output device may be a communication interface or a wireless network device.
In an optional scheme, the processor 601 is further configured to receive vehicle identification information, fault information, maintenance information or a manual operation instruction sent by the intelligent robot, where the manual operation instruction is an operation instruction that is received by the intelligent robot and is manually input according to the vehicle identification information and the fault information; and processing the vehicle identification information, the fault information, the maintenance information and the manual operation instruction by utilizing a machine learning algorithm in combination with a big data analysis mode so as to update the corresponding relation between the vehicle identification information and the fault information and the maintenance information by the block chain system. By the method, the vehicle identification information and the maintenance information corresponding to the fault information can be continuously optimized, and the vehicle maintenance efficiency is improved.
In an optional scheme, if the block link point device receives a notification message of an identification error fed back by the intelligent robot, the block link point device issues a maintenance task according to the vehicle identification information and the fault information. With this apparatus, in the case where the intelligent robot diagnoses an abnormality, a feedback notification message of an identification error can be received, and a maintenance task is issued so that the vehicle can receive maintenance as soon as possible.
It should be understood that in the embodiments of the present application, the processor 601 may be a Central Processing Unit (CPU), and the processor may also be other general purpose processors, Digital Signal Processors (DSPs), Application Specific Integrated Circuits (ASICs), field-programmable gate arrays (FPGAs) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, and the like. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like.
The memory 604, which may include both read-only memory and random-access memory, provides instructions and data to the processor 601. A portion of the memory 604 may also include non-volatile random access memory. For example, the memory 604 may also store device type information.
In a specific implementation, the processor 601, the input device 602, and the output device 603 described in this embodiment of the present application may execute the implementation described in the embodiment of the vehicle repair method provided in this embodiment of the present application, and may also execute the implementation of the terminal described in this embodiment of the present application, which is not described herein again.
In the block link point device shown in fig. 6, the intelligent robot acquires vehicle identification information and failure information of the vehicle and transmits the vehicle identification information and failure information to the block link point device. And the block chain node equipment generates maintenance information according to the vehicle identification information and the fault information, and sends the maintenance information to the intelligent robot so that the intelligent robot maintains the vehicle according to the maintenance information. Through this kind of block chain link point equipment, need not the maintenance personal and detect and repair the vehicle, promoted the convenience of repairing the vehicle.
In another embodiment of the invention, a computer program product is provided, on which the method of the embodiment of fig. 2 is implemented when the computer program product is run on a processor.
In another embodiment of the invention, a computer-readable storage medium is provided, which stores a computer program that, when executed by a processor, implements the method of the embodiment shown in fig. 2.
The computer readable storage medium may be an internal storage unit of the terminal according to any of the foregoing embodiments, for example, a hard disk or a memory of the terminal. The computer readable storage medium may also be an external storage device of the terminal, such as a plug-in hard disk, a Smart Memory Card (SMC), a Secure Digital (SD) card, a flash memory card (flash card), and the like, provided on the terminal. Further, the computer-readable storage medium may also include both an internal storage unit and an external storage device of the terminal. The computer-readable storage medium is used for storing the computer program and other programs and data required by the terminal. The computer readable storage medium may also be used to temporarily store data that has been output or is to be output.
Those of ordinary skill in the art will appreciate that the elements and algorithm steps of the examples described in connection with the embodiments disclosed herein may be embodied in electronic hardware, computer software, or combinations of both, and that the components and steps of the examples have been described in a functional general in the foregoing description for the purpose of illustrating clearly the interchangeability of hardware and software. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the implementation. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present application.
It can be clearly understood by those skilled in the art that, for convenience and simplicity of description, the specific working process of the intelligent robot and the block link point device described above may refer to the corresponding process in the foregoing method embodiment, and details are not described herein again.
In the several embodiments provided in the present application, it should be understood that the disclosed intelligent robot, block link point device and method may be implemented in other ways. For example, the above-described apparatus embodiments are merely illustrative, and for example, the division of the units is only one logical division, and other divisions may be realized in practice, for example, a plurality of units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, devices or units, and may also be an electric, mechanical or other form of connection.
The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one position, or may be distributed on multiple network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiments of the present application.
In addition, functional units in the embodiments of the present application may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, and can also be realized in a form of a software functional unit.
The integrated unit, if implemented in the form of a software functional unit and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present invention essentially or partially contributes to the prior art, or all or part of the technical solution can be embodied in the form of a software product stored in a storage medium and including instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: various media capable of storing program codes, such as a removable hard disk, a read-only memory (ROM), a Random Access Memory (RAM), a magnetic disk, and an optical disk.
The above description is only for the specific embodiments of the present application, but the scope of the present application is not limited thereto, and any person skilled in the art can easily think of various equivalent modifications or substitutions within the technical scope of the present application, and these modifications or substitutions should be covered within the scope of the present application. Therefore, the protection scope of the present application shall be subject to the protection scope of the claims.
Claims (10)
1. A vehicle maintenance method is applied to an intelligent robot, and comprises the following steps:
acquiring vehicle identification information by a camera unit in a mode of moving the position of the camera unit;
acquiring fault information of a vehicle;
transmitting the vehicle identification information and the fault information to a blockchain system;
receiving maintenance information sent by the block chain system, wherein the maintenance information is generated according to the vehicle identification information and the fault information, the maintenance information comprises an operation instruction, the maintenance information is used for instructing the intelligent robot to maintain the vehicle according to the operation instruction, the operation instruction is the vehicle identification information inquired in an information block of a data chain and an instruction corresponding to the fault information, and the data chain is determined by block chain link point equipment according to vehicle type information of the vehicle;
maintaining the vehicle according to the operation instruction;
the operation instruction is determined by the blockchain node equipment by utilizing a machine learning algorithm and combining a big data analysis mode according to the received vehicle identification information, fault information, maintenance information, manual operation instruction, maintenance time of the manual operation instruction and vehicle feedback information.
2. The method of claim 1, wherein the service information comprises an operation command for the intelligent robot to service the vehicle, and the correspondence between the vehicle identification information and the fault information and the operation command is pre-stored in the blockchain system.
3. The method according to claim 1 or 2, wherein in the blockchain system, vehicle type information contained in information blocks on the same data chain, in which vehicle identification information, fault information and operation instructions of the vehicle are recorded, is the same.
4. The method of claim 1, further comprising:
if the diagnosis abnormity is detected, feeding back a notification message of an identification error to the block chain system;
receiving a manual operation instruction input according to the vehicle identification information and the fault information;
maintaining the vehicle according to the manual operation instruction;
triggering storage of the vehicle identification information, the fault information and the manual operation instruction in the blockchain system;
wherein the diagnosing the abnormality comprises: and identifying abnormal fault information of the vehicle or receiving an error instruction sent by the blockchain system.
5. A vehicle maintenance method is applied to a block chain node device, the block chain node device is connected to a block chain system, vehicle type information included in information blocks of the same data chain in the block chain system is the same, and the method comprises the following steps:
receiving vehicle identification information and fault information sent by the intelligent robot through the camera unit in a mode of moving the position of the intelligent robot;
determining a data chain according to the vehicle type information of the vehicle, and inquiring the vehicle identification information and an operation instruction corresponding to the fault information in an information block of the data chain;
generating maintenance information according to the vehicle identification information and the fault information, wherein the maintenance information comprises the operation instruction, the maintenance information is used for indicating the intelligent robot to maintain the vehicle according to the operation instruction, and the block chain system is pre-stored with the corresponding relation between the vehicle identification information and the fault information and the maintenance information;
sending the maintenance information to the intelligent robot so that the intelligent robot maintains the vehicle according to the operation instruction;
the operation instruction is determined by utilizing a machine learning algorithm and combining a big data analysis mode according to the received vehicle identification information, fault information, maintenance information, a manual operation instruction, the maintenance time of the manual operation instruction and vehicle feedback information.
6. The method of claim 5, further comprising:
receiving vehicle identification information, fault information, maintenance information or manual operation instructions sent by an intelligent robot, wherein the manual operation instructions are operation instructions which are received by the intelligent robot and input manually according to the vehicle identification information and the fault information;
and processing the vehicle identification information, the fault information, the maintenance information and the manual operation instruction by utilizing a machine learning algorithm in combination with a big data analysis mode so as to facilitate the block chain system to update the vehicle identification information and the corresponding relation between the fault information and the maintenance information.
7. The method of claim 5 or 6, further comprising:
and if the block link point equipment receives the notification message of the identification error fed back by the intelligent robot, issuing a maintenance task according to the vehicle identification information and the fault information.
8. An intelligent robot comprising a processor and a memory, wherein the memory is configured to store program instructions and the processor is configured to invoke the program instructions to perform the method of any of claims 1-4.
9. A block link node device comprising a processor and a memory, wherein the memory is for storing program instructions, and the processor is configured to invoke the program instructions to perform the method of any of claims 5-7.
10. A computer-readable storage medium, characterized in that the computer storage medium stores program instructions that, when executed by a processor, cause the processor to perform the method of any of claims 5-7.
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| CN112486715A (en) * | 2019-09-12 | 2021-03-12 | 华为技术有限公司 | Method and device for exception handling of vehicle-mounted system |
| CN110716548B (en) * | 2019-10-31 | 2020-08-28 | 北京三快在线科技有限公司 | Unmanned delivery vehicle debugging system |
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