CN106292625B - Vehicle fault online detection system and method - Google Patents
Vehicle fault online detection system and method Download PDFInfo
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- CN106292625B CN106292625B CN201610629910.5A CN201610629910A CN106292625B CN 106292625 B CN106292625 B CN 106292625B CN 201610629910 A CN201610629910 A CN 201610629910A CN 106292625 B CN106292625 B CN 106292625B
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- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B23/00—Testing or monitoring of control systems or parts thereof
- G05B23/02—Electric testing or monitoring
- G05B23/0205—Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults
- G05B23/0259—Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults characterized by the response to fault detection
- G05B23/0286—Modifications to the monitored process, e.g. stopping operation or adapting control
- G05B23/0289—Reconfiguration to prevent failure, e.g. usually as a reaction to incipient failure detection
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Abstract
The invention discloses a vehicle fault on-line detection system, which comprises: the mobile terminal is in wireless connection with the cloud server; the mobile terminal is used for collecting relevant information of vehicle faults and sending the relevant information to the cloud server; and the cloud server is used for receiving the relevant information, carrying out online detection on the relevant information according to a preset vehicle detection program to obtain a detection result of the vehicle fault, and sending the detection result to the mobile terminal for displaying. The invention also discloses an online detection method for the vehicle fault. The invention completes the detection of the vehicle fault in an online mode, further meets the requirement of a user on the detection of the vehicle fault in a special scene, and provides a new way for the user to detect the vehicle fault.
Description
Technical Field
The invention relates to the technical field of vehicle detection, in particular to a vehicle fault online detection system and method.
Background
In the existing vehicle fault detection scheme, a vehicle owner sends a fault vehicle to a repair shop to be detected or a maintainer carries out field detection, but under some special scenes, the mode is not suitable, for example, the vehicle has a fault in a wilderness area or a highway, under the condition, the vehicle is not convenient to be sent to the repair shop or the maintainer is convenient to go to the field, and meanwhile, the vehicle owner can not determine the reason of the vehicle fault, so that the vehicle fault cannot be eliminated by the vehicle owner, and further inconvenience is brought to the vehicle owner.
Disclosure of Invention
The invention mainly aims to provide a vehicle fault online detection system and a vehicle fault online detection method, and aims to solve the technical problem that the existing vehicle fault detection scheme cannot be suitable for special vehicle using scenes, so that inconvenience is brought to vehicle owners.
In order to achieve the above object, the present invention provides an online vehicle fault detection system, comprising: the mobile terminal is in wireless connection with the cloud server;
the mobile terminal is used for collecting relevant information of vehicle faults and sending the relevant information to the cloud server;
and the cloud server is used for receiving the relevant information, carrying out online detection on the relevant information according to a preset vehicle detection program to obtain a detection result of the vehicle fault, and sending the detection result to the mobile terminal for displaying.
Preferably, the vehicle fault online detection system further comprises an interface conversion data line, and the interface conversion data line is used for data transmission between a vehicle-mounted diagnosis system of a vehicle and the mobile terminal; the mobile terminal comprises a camera and a microphone;
the related information at least comprises one or more of vehicle fault videos or vehicle fault images shot by the mobile terminal through the camera, voice description about vehicle faults recorded through the microphone and fault diagnosis data read from the vehicle-mounted diagnosis system through the interface conversion data line.
Preferably, the cloud server includes:
a receiving module, configured to receive the relevant information sent by the mobile terminal;
the detection module is used for calling a fault diagnosis program to perform online detection on the fault diagnosis data when the related information comprises the fault diagnosis data to obtain a corresponding fault description; when the related information comprises one or more of the vehicle fault video, the vehicle fault image and the voice description, calling a manual detection program to enable a detection person to perform online detection on the vehicle fault video and/or the vehicle fault image and/or the voice description through the manual detection program to obtain a corresponding detection opinion, wherein the detection result comprises the fault explanation and/or the detection opinion;
and the sending module is used for sending the detection result to the mobile terminal for displaying.
Preferably, the detection module is further configured to:
when the related information comprises the fault diagnosis data and one or more of the vehicle fault video, the vehicle fault image and the voice description, calling the fault diagnosis program to perform online detection on the fault diagnosis data to obtain the corresponding fault explanation, and uploading the fault explanation to the manual detection program, so that detection personnel can perform online comprehensive detection on the vehicle fault video and/or the vehicle fault image and/or the voice description through the manual detection program according to the fault explanation to obtain corresponding comprehensive detection opinions, wherein the detection result comprises the comprehensive detection opinions.
Further, in order to achieve the above object, the present invention further provides an online vehicle fault detection method, including:
the method comprises the steps that a mobile terminal collects relevant information of vehicle faults and sends the relevant information to a cloud server;
and the cloud server receives the relevant information, carries out online detection on the relevant information according to a preset vehicle detection program to obtain a detection result of the vehicle fault, and sends the detection result to the mobile terminal for displaying.
Preferably, the related information at least includes one or more of a vehicle fault video or a vehicle fault image shot by the mobile terminal, a recorded voice description about a vehicle fault, and fault diagnosis data read from the on-board diagnosis system.
Preferably, the receiving, by the cloud server, the related information, performing online detection on the related information according to a preset vehicle detection program to obtain a detection result of a vehicle fault, and sending the detection result to the mobile terminal for displaying includes:
the cloud server receives the relevant information sent by the mobile terminal;
carrying out online detection on the relevant information according to the vehicle detection program to obtain a detection result, wherein when the relevant information comprises the fault diagnosis data, calling a fault diagnosis program to carry out online detection on the fault diagnosis data to obtain a corresponding fault description; when the related information comprises one or more of the vehicle fault video, the vehicle fault image and the voice description, calling a manual detection program to enable a detection person to perform online detection on the vehicle fault video and/or the vehicle fault image and/or the voice description through the manual detection program to obtain a corresponding detection opinion, wherein the detection result comprises the fault explanation and/or the detection opinion;
and sending the detection result to the mobile terminal for displaying.
Preferably, the performing online detection on the related information according to the vehicle detection program to obtain a detection result further includes:
judging whether the related information comprises the fault diagnosis data and one or more of the vehicle fault video, the vehicle fault image and the voice description;
if so, calling the fault diagnosis program to perform online detection on the fault diagnosis data to obtain the corresponding fault description, and uploading the fault description to the manual detection program so that detection personnel can perform online comprehensive detection on the vehicle fault video and/or the vehicle fault image and/or the voice description through the manual detection program according to the fault description to obtain corresponding comprehensive detection opinions, wherein the detection result comprises the comprehensive detection opinions.
In the invention, the vehicle owner can finish the collection of the vehicle fault information through the mobile terminal carried by the vehicle owner and send the vehicle fault information to the server, the server carries out online detection on the received vehicle fault information and sends the detection result to the mobile terminal used by the vehicle owner, so that the vehicle owner can learn the vehicle fault reason, and the vehicle owner can further determine to remove the fault or send the fault to a repair shop for maintenance according to the detection result. The invention provides a new vehicle fault detection mode for the vehicle owner, thereby being suitable for vehicle fault detection of the vehicle owner under different use conditions, simultaneously providing solution suggestions for the vehicle owner to remove the vehicle fault and improving the vehicle using experience of the vehicle owner.
Drawings
FIG. 1 is a functional block diagram of an embodiment of an online vehicle fault detection system according to the present invention;
FIG. 2 is a functional block diagram of an embodiment of the cloud server shown in FIG. 1;
FIG. 3 is a schematic flow chart diagram illustrating an embodiment of a method for online detection of vehicle faults;
fig. 4 is a detailed flowchart of step S20 in fig. 3.
The implementation, functional features and advantages of the objects of the present invention will be further explained with reference to the accompanying drawings.
Detailed Description
It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
Referring to fig. 1, fig. 1 is a functional module schematic diagram of an embodiment of the vehicle fault online detection system of the present invention. In this embodiment, the vehicle fault on-line detection system includes: the mobile terminal 10 is wirelessly connected with the cloud server 20, and the mobile terminal 10 is wirelessly connected with the cloud server 20, such as through a 3G or 4G mobile data network.
In this embodiment, the mobile terminal 10 is configured to collect relevant information about a vehicle fault and send the relevant information to the cloud server 20.
Optionally, based on the functional structural features of the mobile terminal 10: the mobile terminal 10 includes a data interface, a camera, and a microphone, and thus, the corresponding mobile terminal 10 has a function of acquiring data in an external device (such as a vehicle center), a function of taking a video or picture, and a recording function.
Therefore, in an embodiment of the vehicle fault online detection system of the present invention, the vehicle fault online detection system further includes an interface conversion data line, and the interface conversion data line is used for data transmission between the vehicle-mounted diagnosis system of the vehicle and the mobile terminal; meanwhile, the related information at least comprises one or more of vehicle fault videos or vehicle fault images shot by the mobile terminal through a camera, voice description about vehicle faults recorded through a microphone and fault diagnosis data read from an on-board diagnosis system through an interface conversion data line.
Among them, the On-Board Diagnostic (On-Board Diagnostic) is a failure detection system of the vehicle itself, and the repair shop usually obtains the basic situation of the vehicle failure through the OBD system.
In this embodiment, the cloud server 20 is configured to receive the relevant information, perform online detection on the relevant information according to a preset vehicle detection program, obtain a detection result of the vehicle fault, and send the detection result to the mobile terminal for display.
In this embodiment, the cloud server 20 specifically detects the received vehicle fault information by using different detection strategies according to different contents of the received vehicle fault information, for example, the vehicle fault information may be completely detected by a machine, and meanwhile, in order to further improve the detection accuracy, the vehicle fault information may also be manually detected by manually operating related software, and a specific implementation manner in this embodiment is not limited.
In the embodiment, the vehicle owner can complete the collection of the vehicle fault information through the mobile terminal carried by the vehicle owner and send the vehicle fault information to the server, the server carries out online detection on the received vehicle fault information and sends the detection result to the mobile terminal used by the vehicle owner, so that the vehicle owner can learn the vehicle fault reason, and the vehicle owner further determines to remove the fault or sends the fault to a repair shop for maintenance according to the detection result. This embodiment provides a new vehicle fault detection mode for the car owner to the adaptation car owner also provides the solution suggestion for the car owner to the getting rid of vehicle failure under the different use situation, has promoted the car owner and has used car experience to the vehicle fault detection.
Referring to fig. 2, fig. 2 is a functional module schematic diagram of an embodiment of the cloud server in fig. 1.
In this embodiment, the cloud server 20 includes:
a receiving module 201, configured to receive relevant information sent by a mobile terminal;
the detection module 202 is configured to, when the relevant information includes fault diagnosis data, invoke a fault diagnosis program to perform online detection on the fault diagnosis data, so as to obtain a corresponding fault description; when the relevant information comprises one or more of vehicle fault videos, vehicle fault images and voice descriptions, calling a manual detection program to enable detection personnel to perform online detection on the vehicle fault videos and/or the vehicle fault images and/or the voice descriptions through the manual detection program to obtain corresponding detection opinions, wherein the detection results comprise fault descriptions and/or the detection opinions;
and the sending module 203 is configured to send the detection result to the mobile terminal for displaying.
In this embodiment, the vehicle detection program preset in the cloud server 20 includes a fault diagnosis program and a manual detection program, where the fault diagnosis program is configured to detect fault diagnosis data and form a fault description of a corresponding fault; the manual detection program is operated by a detector to complete the detection of the vehicle fault video and/or the vehicle fault image and/or the voice description, and the manual detection mode introduced in the embodiment can use the actual combat experience of the detector (such as an experienced vehicle maintainer) to complete the vehicle fault detection more quickly and accurately.
Therefore, when the related information includes the fault diagnosis data, the detecting module 202 invokes a fault diagnosis program to perform online detection on the fault diagnosis data, and obtains a corresponding fault description. Generally, the fault diagnosis data provided by the on-board diagnosis system is data with a specific format and a special meaning, such as fault purchase, different fault codes represent different faults, and for example, a fault code database including fault codes and corresponding fault descriptions is further stored on the cloud server 20.
When the related information includes one or more of a vehicle failure video, a vehicle failure image and a voice description, the detection module 202 invokes a manual detection program to allow a detection person to detect the vehicle failure video and/or the vehicle failure image and/or the voice description through the manual detection program to obtain a detection opinion. In the prior art, the implementation difficulty of automatically completing vehicle fault detection by a machine according to videos or pictures or voices is high, so that detection personnel can be assisted to perform manual detection through a manual detection program. For example, the manual detection program controls the playing of video, such as zooming processing, screenshot processing and the like, controls the picture processing, such as zooming in and out of pictures, picture rotation screenshot and the like, and controls the playing of voice or the recognition of voice into characters and the like, and meanwhile, the manual detection program provides fault marking and recording functions for detection personnel, such as marking signs on the pictures or describing the characters and the like.
In this embodiment, the server side can provide various programs to complete detection processing of received different fault information, so as to improve the vehicle fault detection function and improve the detection efficiency and accuracy.
Optionally, in a preferred embodiment, the detection module 202 is further configured to:
when the relevant information comprises fault diagnosis data and one or more of vehicle fault video, vehicle fault image and voice description, calling a fault diagnosis program to perform online detection on the fault diagnosis data to obtain a corresponding fault description, and uploading the fault description to a manual detection program, so that a detector performs online comprehensive detection on the vehicle fault video and/or the vehicle fault image and/or the voice description through the manual detection program according to the fault description to obtain a corresponding comprehensive detection suggestion, wherein the detection result comprises the comprehensive detection suggestion.
In this embodiment, the fault diagnosis data can describe and reflect the internal fault condition of the vehicle more clearly, accurately and objectively, and the fault video, picture and voice can reflect the external fault representation of the vehicle from the external fault representation, so that, in order to further accurately know the vehicle fault and obtain a correct detection result, when the fault information received by the cloud server 20 includes the fault diagnosis data and one or more of the video, image and voice, the detection module 202 will first call the fault diagnosis program to perform online detection on the fault diagnosis data to obtain a corresponding fault description, then upload the fault description to the manual detection program, and call the manual detection program, so that the detection personnel can perform online comprehensive detection on the vehicle fault video and/or vehicle fault image and/or voice description according to the fault description, and obtaining corresponding comprehensive detection opinions.
In the embodiment, the detection of the vehicle fault can be completed more accurately.
Referring to fig. 3, fig. 3 is a schematic flow chart of an embodiment of a vehicle fault online detection method.
In this embodiment, the online vehicle fault detection method includes:
step S10, the mobile terminal collects relevant information of vehicle faults and sends the relevant information to a cloud server;
the mobile terminal and the cloud server establish data connection in a wireless mode, for example, the connection is established through a 3G or 4G mobile data network.
Optionally, based on the functional structure characteristics of the mobile terminal: the mobile terminal comprises a data interface, a camera and a microphone, so that the corresponding mobile terminal has the functions of acquiring data in external equipment (such as vehicle front equipment), shooting video or pictures and recording.
Optionally, the related information at least includes one or more of a vehicle fault video or a vehicle fault image shot by the mobile terminal, a recorded voice description about the vehicle fault, and fault diagnosis data read from the vehicle-mounted diagnosis system.
And step S20, the cloud server receives the relevant information, carries out online detection on the relevant information according to a preset vehicle detection program to obtain a detection result of the vehicle fault, and sends the detection result to the mobile terminal for displaying.
In this embodiment, the cloud server specifically detects the received vehicle fault information by using different detection strategies according to different contents of the received vehicle fault information, for example, the cloud server may be completely handed to a machine to complete detection of the vehicle fault information, and meanwhile, in order to further improve the accuracy of the detection, the cloud server may also complete manual detection of the vehicle fault information in a manner of manually operating related software, and a specific implementation manner is not limited in this embodiment.
In the embodiment, the vehicle owner can complete the collection of the vehicle fault information through the mobile terminal carried by the vehicle owner and send the vehicle fault information to the server, the server carries out online detection on the received vehicle fault information and sends the detection result to the mobile terminal used by the vehicle owner, so that the vehicle owner can learn the vehicle fault reason, and the vehicle owner further determines to remove the fault or sends the fault to a repair shop for maintenance according to the detection result. This embodiment provides a new vehicle fault detection mode for the car owner to the adaptation car owner also provides the solution suggestion for the car owner to the getting rid of vehicle failure under the different use situation, has promoted the car owner and has used car experience to the vehicle fault detection.
Referring to fig. 4, fig. 4 is a detailed flowchart of step S20 in fig. 3.
Based on the foregoing embodiment, in this embodiment, the foregoing step S20 includes:
step S201, a cloud server receives relevant information sent by a mobile terminal;
step S202, carrying out online detection on related information according to a vehicle detection program to obtain a detection result, wherein when the related information comprises fault diagnosis data, calling a fault diagnosis program to carry out online detection on the fault diagnosis data to obtain a corresponding fault description; when the relevant information comprises one or more of vehicle fault videos, vehicle fault images and voice descriptions, calling a manual detection program to enable detection personnel to perform online detection on the vehicle fault videos and/or the vehicle fault images and/or the voice descriptions through the manual detection program to obtain corresponding detection opinions, wherein the detection results comprise fault descriptions and/or the detection opinions;
and step S203, sending the detection result to the mobile terminal for displaying.
In this embodiment, the vehicle detection program preset in the cloud server includes a fault diagnosis program and a manual detection program, where the fault diagnosis program is used to detect fault diagnosis data and form a fault description corresponding to a fault; the manual detection program is operated by a detector to complete the detection of the vehicle fault video and/or the vehicle fault image and/or the voice description, and the manual detection mode introduced in the embodiment can use the actual combat experience of the detector (such as an experienced vehicle maintainer) to complete the vehicle fault detection more quickly and accurately.
Therefore, when the relevant information comprises the fault diagnosis data, the cloud server calls a fault diagnosis program to perform online detection on the fault diagnosis data to obtain a corresponding fault description. Generally, the fault diagnosis data provided by the on-board diagnosis system are data with a specific format and special meaning, such as fault purchase, different fault codes represent different faults, and a fault code database including fault codes and corresponding fault descriptions is also stored on the server.
And when the related information comprises one or more of vehicle fault videos, vehicle fault images and voice descriptions, the server calls a manual detection program to enable a detector to detect the vehicle fault videos and/or the vehicle fault images and/or the voice descriptions through the manual detection program to obtain detection opinions. In the prior art, the implementation difficulty of automatically completing vehicle fault detection by a machine according to videos or pictures or voices is high, so that detection personnel can be assisted to perform manual detection through a manual detection program. For example, the manual detection program controls the playing of video, such as zooming processing, screenshot processing and the like, controls the picture processing, such as zooming in and out of pictures, picture rotation screenshot and the like, and controls the playing of voice or the recognition of voice into characters and the like, and meanwhile, the manual detection program provides fault marking and recording functions for detection personnel, such as marking signs on the pictures or describing the characters and the like.
In this embodiment, the cloud server side can provide various programs to complete detection processing of received different fault information, so that the vehicle fault detection function is perfected, and the detection efficiency and accuracy are improved.
Optionally, in a preferred embodiment, the step S202 further includes:
judging whether the related information comprises fault diagnosis data and one or more of vehicle fault video, vehicle fault images and voice description;
if the vehicle fault detection result includes the comprehensive detection opinions, a fault diagnosis program is called to carry out online detection on the fault diagnosis data to obtain a corresponding fault explanation, the fault explanation is uploaded to a manual detection program, so that a detector can carry out online comprehensive detection on the vehicle fault video and/or the vehicle fault image and/or the voice description through the manual detection program according to the fault explanation to obtain the corresponding comprehensive detection opinions, and the detection result includes the comprehensive detection opinions.
In the embodiment, the fault diagnosis data can describe and reflect the internal fault condition of the vehicle more clearly, accurately and objectively, and the fault video, the picture and the voice can reflect the external fault expression of the vehicle from the external fault expression, so that the cloud server can further accurately acquire the vehicle fault and obtain a correct detection result, so that when the fault information received by the cloud server comprises the fault diagnosis data and one or more of the video, the image and the voice, the cloud server firstly calls a fault diagnosis program to perform online detection on the fault diagnosis data to obtain a corresponding fault description, then uploads the fault description to a manual detection program, and calls the manual detection program, and a detector performs online comprehensive detection on the vehicle fault video and/or the vehicle fault image and/or the voice description according to the fault description, and obtaining corresponding comprehensive detection opinions.
In the embodiment, the detection of the vehicle fault can be completed more accurately.
The above description is only a preferred embodiment of the present invention, and not intended to limit the scope of the present invention, and all modifications of equivalent structures and equivalent processes, which are made by using the contents of the present specification and the accompanying drawings, or directly or indirectly applied to other related technical fields, are included in the scope of the present invention.
Claims (4)
1. An online vehicle fault detection system, comprising: the system comprises an interface conversion data line, a mobile terminal and a cloud server, wherein the mobile terminal and the cloud server are in wireless connection through a 3G or 4G mobile data network;
the interface conversion data line is used for data transmission between a vehicle-mounted diagnosis system of a vehicle and the mobile terminal;
the mobile terminal comprises a data interface, a camera and a microphone, and is used for acquiring relevant information of vehicle faults and sending the relevant information to the cloud server, wherein the relevant information at least comprises one or more of vehicle fault videos or vehicle fault images shot by the mobile terminal through the camera, voice description about the vehicle faults recorded through the microphone and fault diagnosis data read from the vehicle-mounted diagnosis system through the interface conversion data line;
the cloud server includes:
the receiving module is used for receiving the related information and determining a detection strategy corresponding to the related information;
the detection module is used for carrying out online detection on the related information according to a preset vehicle detection program and the detection strategy to obtain a detection result of the vehicle fault, wherein the vehicle detection program comprises a fault diagnosis program and a manual detection program, and the manual detection program is used for controlling video playing, controlling picture processing, controlling voice playing or recognizing voice as characters and also used for providing fault marking and recording functions; when the related information comprises the fault diagnosis data, calling a fault diagnosis program to perform online detection on the fault diagnosis data to obtain a corresponding fault description; when the related information comprises one or more of the vehicle fault video, the vehicle fault image and the voice description, calling a manual detection program to enable a detection person to perform online detection on the vehicle fault video and/or the vehicle fault image and/or the voice description through the manual detection program to obtain a corresponding detection opinion; the detection result comprises the fault description and/or the detection opinion;
and the sending module is used for sending the detection result to the mobile terminal for displaying.
2. The vehicle fault on-line detection system of claim 1, wherein the detection module is further configured to:
when the related information comprises the fault diagnosis data and one or more of the vehicle fault video, the vehicle fault image and the voice description, calling the fault diagnosis program to perform online detection on the fault diagnosis data to obtain the corresponding fault explanation, and uploading the fault explanation to the manual detection program, so that detection personnel can perform online comprehensive detection on the vehicle fault video and/or the vehicle fault image and/or the voice description through the manual detection program according to the fault explanation to obtain corresponding comprehensive detection opinions, wherein the detection result comprises the comprehensive detection opinions.
3. A vehicle fault online detection method is characterized by comprising the following steps:
the method comprises the steps that a mobile terminal collects relevant information of vehicle faults and sends the relevant information to a cloud server, wherein the relevant information at least comprises one or more of vehicle fault videos or vehicle fault images shot by the mobile terminal, recorded voice description about the vehicle faults and fault diagnosis data read from a vehicle-mounted diagnosis system of a vehicle;
the cloud server receives the relevant information, determines a detection strategy corresponding to the relevant information, performs online detection on the relevant information according to a preset vehicle detection program and the detection strategy to obtain a detection result of a vehicle fault, and sends the detection result to the mobile terminal for displaying, wherein the vehicle detection program comprises a fault diagnosis program and a manual detection program, and the manual detection program is used for controlling video playing, controlling picture processing, controlling voice playing or recognizing voice as characters and also used for providing a fault marking and recording function; when the related information comprises the fault diagnosis data, calling a fault diagnosis program to perform online detection on the fault diagnosis data to obtain a corresponding fault description; when the related information comprises one or more of the vehicle fault video, the vehicle fault image and the voice description, calling a manual detection program to enable a detection person to perform online detection on the vehicle fault video and/or the vehicle fault image and/or the voice description through the manual detection program to obtain a corresponding detection opinion; the detection result comprises the fault description and/or the detection opinion.
4. The vehicle failure online detection method according to claim 3, characterized by further comprising:
when the related information comprises the fault diagnosis data and one or more of the vehicle fault video, the vehicle fault image and the voice description, calling the fault diagnosis program to perform online detection on the fault diagnosis data to obtain the corresponding fault explanation, and uploading the fault explanation to the manual detection program, so that detection personnel can perform online comprehensive detection on the vehicle fault video and/or the vehicle fault image and/or the voice description through the manual detection program according to the fault explanation to obtain corresponding comprehensive detection opinions, wherein the detection result comprises the comprehensive detection opinions.
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| CN108829088B (en) * | 2018-07-20 | 2021-11-05 | 深圳市道通科技股份有限公司 | Automobile diagnosis method and device and storage medium |
| CN109141898A (en) * | 2018-09-13 | 2019-01-04 | 湖北谊立舜达动力科技有限公司 | A kind of Diagnosis of Diesel Motor system based on Internet of Things |
| CN110377009B (en) * | 2019-07-30 | 2022-06-07 | 南京爱福路汽车科技有限公司 | Method and system for automobile fault diagnosis |
| CN112396321A (en) * | 2020-11-18 | 2021-02-23 | 广东屋联智能科技有限公司 | Line detection data management method, system and storage medium |
| CN115118641A (en) * | 2021-03-18 | 2022-09-27 | 苏州华云视创智能科技有限公司 | Handheld high in clouds detecting system based on 5G |
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