CN106706335B - Vehicle detection method and device - Google Patents
Vehicle detection method and device Download PDFInfo
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- CN106706335B CN106706335B CN201611156986.7A CN201611156986A CN106706335B CN 106706335 B CN106706335 B CN 106706335B CN 201611156986 A CN201611156986 A CN 201611156986A CN 106706335 B CN106706335 B CN 106706335B
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01M—TESTING STATIC OR DYNAMIC BALANCE OF MACHINES OR STRUCTURES; TESTING OF STRUCTURES OR APPARATUS, NOT OTHERWISE PROVIDED FOR
- G01M17/00—Testing of vehicles
- G01M17/007—Wheeled or endless-tracked vehicles
Abstract
the invention discloses a vehicle detection method and a vehicle detection device, wherein the method comprises the following steps: acquiring an identity of a system to be detected in a vehicle; judging whether the cloud server side stores detection data of reference systems of the same type as the system to be detected or not according to the identity; and when the detection data of the reference system are stored in the cloud server, calling the detection data, and detecting the system to be detected according to the detection data. The invention aims to solve the technical problems that the detection process is time-consuming, labor-consuming and easy to make mistakes when the same system to be detected of a plurality of vehicles is detected in the prior art, so that the detection efficiency is reduced and the detection experience is influenced.
Description
Technical Field
the invention relates to the technical field of intelligent traffic, in particular to a vehicle detection method and device.
background
In the process of automobile production and use, detection of each system of an automobile is necessary, for example, detection of an automobile ECU (electronic control system), an engine and the like, in the prior art, when the same system to be detected of a plurality of automobiles is detected, although the detection process is the same, the selection of detection data stream parameters in the detection process is the same, when detection is performed, the detection process still needs to be manually selected every time, and corresponding data stream parameters are selected, when the system to be detected which needs to be detected is too many, the operation of the selection process is time-consuming and labor-consuming, errors are easy to occur, the detection efficiency is further reduced, and the user experience is influenced.
Disclosure of Invention
the invention mainly aims to provide a vehicle detection method and a vehicle detection device, and aims to solve the technical problems that in the prior art, when the same system to be detected of a plurality of vehicles is detected, the detection process is time-consuming, labor-consuming and easy to make mistakes, so that the detection efficiency is reduced, and the detection experience is influenced.
In order to achieve the above object, the present invention provides a vehicle detection method, including the steps of:
acquiring an identity of a system to be detected in a vehicle;
Judging whether the cloud server side stores detection data of reference systems of the same type as the system to be detected or not according to the identity;
And when the detection data of the reference system are stored in the cloud server, calling the detection data, and detecting the system to be detected according to the detection data.
Preferably, the detecting data of the reference system includes a detecting flow of the system and detecting data flow parameters, and the step of calling the detecting data when the detecting data of the reference system exists at the cloud server side and detecting the system to be detected according to the detecting data includes:
When the cloud server side stores detection data of the reference system, a detection flow and detection data stream parameters of the reference system of the cloud server side are called;
generating and sending a detection instruction to a system to be detected according to a reference system detection flow and a detection data stream parameter;
and receiving data information fed back by the system to be detected according to the detection instruction so that the detection personnel can evaluate the performance of the system to be detected according to the data information.
Preferably, the step of judging whether the cloud server side has the detection data of the reference system of the same type as the system to be detected according to the identity includes:
generating and sending a query instruction to a cloud server according to the identity;
and receiving information fed back by the cloud server according to the query instruction so as to judge whether the cloud server stores the detection data of the reference systems of the same type of the system to be detected.
Preferably, the step of judging whether the cloud server side has the detection data of the reference system of the same type as the system to be detected according to the identity includes:
When the cloud server side does not store the detection data of the reference systems of the same type of the system to be detected, prompt information is generated to prompt detection personnel to detect the system to be detected according to a preset detection flow and preset detection data stream parameters.
preferably, when the cloud server does not store the detection data of the reference system of the same type as the system to be detected, generating prompt information to prompt a detection person to implement the detection step of the system to be detected according to the preset detection flow and the preset detection data stream parameter, and then:
and uploading the identity identifier of the system to be detected and the corresponding detection flow, and the detection data stream parameters to a cloud server end for processing and storing by the cloud server end for calling.
in order to achieve the above object, the present invention also provides a vehicle detection device, comprising:
the vehicle detection device includes:
the first acquisition module is used for acquiring the identity of a system to be detected in the vehicle;
the judging module is used for judging whether the cloud server side stores the detection data of the reference systems of the same type of the system to be detected according to the identity;
And the calling module is used for calling the detection data when the detection data of the reference system exist in the cloud server terminal and detecting the system to be detected according to the detection data.
Preferably, the detection data of the reference system includes a detection flow of the system and a detection data stream parameter, and the invoking module includes:
the system comprises a calling unit, a detection unit and a data stream processing unit, wherein the calling unit is used for calling a detection flow and a detection data stream parameter of a reference system at a cloud server end when the detection data of the reference system are stored at the cloud server end;
the generating unit is used for generating and sending a detection instruction to the system to be detected according to the detection flow of the reference system and the detection data stream parameters;
and the first receiving unit is used for receiving the data information fed back by the system to be detected according to the detection instruction so as to facilitate the detection personnel to evaluate the performance of the system to be detected according to the data information.
Preferably, the judging module includes:
The sending unit is used for generating and sending a query instruction to the cloud server according to the identity;
And the second receiving unit is used for receiving information fed back by the cloud server according to the query instruction so as to judge whether the cloud server stores detection data of the reference systems of the same type as the system to be detected.
Preferably, the vehicle detection device further includes:
and the prompting module is used for generating prompting information when the detection data of the reference systems of the same type of the system to be detected is not stored in the cloud server so as to prompt detection personnel to realize the detection of the system to be detected according to a preset detection flow and the selection of preset detection data stream parameters.
Preferably, the vehicle detection device further includes:
and the uploading module is used for uploading the identity of the system to be detected and the corresponding detection process, and the detection data stream parameters to the cloud server end for processing and storing by the cloud server end for calling.
The method comprises the steps of obtaining an identity of a system to be detected in the vehicle; judging whether the cloud server side stores detection data of reference systems of the same type as the system to be detected or not according to the identity; and when the detection data of the reference system are stored in the cloud server, calling the detection data, and detecting the system to be detected according to the detection data. Because if the cloud server end has the detected detection data of the reference system which is the same as the type of the system to be detected, the detection data is called, and the system to be detected is detected according to the detection data, when the same system to be detected of a plurality of vehicles is detected, the detection data does not need to be repeatedly selected on the detector, only the detection instruction is sent according to the identity of the system to be detected, and the data is called according to the instruction, so that the detection method is simple in operation process, not prone to error, further improves the detection efficiency, and correspondingly improves the detection experience.
drawings
FIG. 1 is a schematic flow chart diagram of a first embodiment of a vehicle detection method of the present invention;
FIG. 2 is a schematic flow chart of a second embodiment of a vehicle detection method of the present invention;
FIG. 3 is a schematic flow chart of a third embodiment of a vehicle detection method of the present invention;
FIG. 4 is a functional block diagram of a first embodiment of the vehicle detecting device of the present invention;
FIG. 5 is a functional block diagram of a second embodiment of the vehicle detecting device according to the present invention;
Fig. 6 is a functional block diagram of a third embodiment of the vehicle detecting device according to the present invention.
The implementation, functional features and advantages of the present invention will be described 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.
in a first embodiment of the vehicle detection method of the present invention, referring to fig. 1, the vehicle detection method includes:
step S10, acquiring the identity of the system to be detected in the vehicle;
The method comprises the steps of obtaining an identity of a system to be detected in a vehicle, wherein the vehicle can comprise a plurality of systems to be detected, the vehicle can be determined by an ID (identity identification number) and a vehicle frame number (VIN) of the vehicle, a corresponding system to be detected, such as an ECU (electronic control unit), can be uniquely determined by the version number, the model number and the like of the ECU, the identity of the corresponding system to be detected of the vehicle to be detected is obtained, the identity of the system to be detected is uniquely determined, in the obtaining process, any system parameter of the system to be detected can be one of the version number, the model number, the production year and the like of the system, the parameter can be input by a detector or selected on the detector, the detector comprises a mobile radio device capable of detecting the system to be detected, such as a mobile phone and, the mobile radio device communicates with the system to be detected through WLAN, Bluetooth and NFC (near field communication), sends a corresponding instruction to the system to be detected according to the any parameter, determines the identity of the system to be detected according to feedback information corresponding to the instruction, and records the identity of the system to be detected.
step S20, judging whether the cloud server side stores the detection data of the reference system of the same type of the system to be detected according to the identity;
Judging whether the cloud server end stores detection data of a corresponding reference system of the same type as the system to be detected according to the identity, wherein the detection data comprises a detection flow followed by the system to be detected when the system to be detected is detected, selecting a detection data stream parameter when the system to be detected is detected, judging whether the system to be detected is detected for the first time, when the system to be detected is not detected for the first time, the cloud server end stores a flow for detecting the system to be detected, the data stream parameter which needs to be selected when the system to be detected is an engine is described by a specific embodiment, if a plurality of performances of the engine need to be detected, the detection flow comprises a sequence for detecting the plurality of performances, the data stream parameter comprises parameters such as the rotating speed, the load and the like of the engine, and the reference system and the system to be detected have the same identity, if the identity identifications of the same system of the multiple vehicles are the same, the corresponding detection is carried out, including various performance detections carried out on the reference system, the performance of the reference system is known according to the detection result, and the like.
and step S30, when the detection data of the reference system are stored in the cloud server, calling the detection data, and detecting the system to be detected according to the detection data.
when the detection data of the reference system are stored in the cloud server, the detection data stored in the reference system is that the system to be detected is not detected for the first time, the detection data is called, namely, messages such as a detection flow and detection parameters need to be selected when the system to be detected is called for detection, manual selection on a detector is not needed in the process, the detection instructions are selected for multiple times, only the detection instructions are sent according to the identity marks of the system to be detected, and the detector automatically realizes detection of the system to be detected and obtains the detection result.
in the embodiment, the identity of the system to be detected in the vehicle is obtained; judging whether the cloud server side stores detection data of reference systems of the same type as the system to be detected or not according to the identity; and when the detection data of the reference system are stored in the cloud server, calling the detection data, and detecting the system to be detected according to the detection data. Because if the cloud server end has the detection data of the detected reference system, the detection data is called, and the detection system is detected according to the detection data, when the same detection system is detected by a plurality of vehicles, the detection data does not need to be repeatedly selected on the detector, the detection instruction is sent according to the identity of the detection system, and the data is called according to the instruction, so that the detection method is simple in operation process, not easy to make mistakes, further improves the detection efficiency, and correspondingly improves the detection experience.
Further, on the basis of the first embodiment of the vehicle detection method of the present invention, there is provided a second embodiment of the vehicle detection method, in which, with reference to fig. 2, step S30 includes:
Step S31, when the cloud server side has the detection data of the reference system, calling the detection flow and the detection data stream parameters of the reference system of the cloud server side;
step S32, generating and sending a detection instruction to a system to be detected according to the detection flow of the reference system and the detection data stream parameters;
And step S33, receiving data information fed back by the system to be detected according to the detection instruction so that the detection personnel can evaluate the performance of the system to be detected according to the data information.
when the detection data of the reference system are stored in the cloud server, the detection flow and the detection data stream parameters of the reference system at the cloud server are called, and a detection instruction is generated at the detector, wherein the detection instruction comprises one or more detection instructions, the detection instructions are sequentially sent to the system to be detected according to the detection flow, and data information fed back by the system to be detected according to the detection instruction is received, and the data information comprises information such as the performance grade and the loss of the system to be detected, so that a detector can evaluate the performance of the system to be detected according to the data information.
In this embodiment, when the cloud server side has detection data of the reference system, a detection flow and a detection data stream parameter of the reference system of the cloud server side are called; generating and sending a detection instruction to a system to be detected according to a reference system detection flow and a detection data stream parameter; and receiving data information fed back by the system to be detected according to the detection instruction so that the detection personnel can evaluate the performance of the system to be detected according to the data information. The detector sends a detection instruction according to the detection flow of the reference system and the detection data stream parameters and timely receives the feedback data information such as the performance grade, the loss and the like of the system to be detected, and the process is automatically carried out, so that the time consumption can be reduced, and the user experience is improved.
Further, on the basis of the first embodiment of the vehicle detection method of the present invention, there is provided a third embodiment of the vehicle detection method, and in the third embodiment, referring to fig. 3, the step S20 includes:
Step S21, generating and sending a query instruction to a cloud server according to the identity;
and step S22, receiving information fed back by the cloud server according to the query instruction to judge whether the cloud server stores detection data of the reference systems of the same type of the system to be detected.
and generating and sending a query instruction to a cloud server according to the identity, and sending different feedback information to a detector according to whether detection data of the reference system and the reference system exist or not so that the detector can judge whether the detection data can be called or not.
In this embodiment, a query instruction is generated and sent to the cloud server according to the identity; and receiving information fed back by the cloud server according to the query instruction so as to judge whether the cloud server stores the detection data of the reference systems of the same type of the system to be detected. The reference system of the same identity is inquired at the cloud server side according to the identity, if the reference system exists, the corresponding detection data is called, if the reference system does not exist, no data is called, and feedback information of no data calling is sent to the detector in time, so that the waste of time of detection personnel is prevented, and the user experience can be improved.
Further, on the basis of the first embodiment of the vehicle detecting method of the present invention, there is provided a fourth embodiment of the vehicle detecting method, said step S20 being followed by comprising:
when the cloud server side does not store the detection data of the reference systems of the same type of the system to be detected, prompt information is generated to prompt detection personnel to detect the system to be detected according to a preset detection flow and preset detection data stream parameters.
when the cloud server side does not store the detection data of the corresponding reference system and the reference system, prompt information is generated, the prompt information can be in an audio mode, or in an acousto-optic mode, such as a mode of turning on a breathing lamp on a detector and the like, a detector is prompted that the system to be detected does not store the reference system at the cloud server side, and detection of the system to be detected can be achieved by manually selecting detection flow and detection data stream parameters.
in this embodiment, when the cloud server does not store the detection data of the reference systems of the same type as the system to be detected, prompt information is generated to prompt a detection person to detect the system to be detected according to a preset detection flow and a preset detection data stream parameter. When the reference system does not exist in the system to be detected, prompt is timely given, and accordingly user experience is improved.
Further, on the basis of the first embodiment of the vehicle detection method of the present invention, a fifth embodiment of the vehicle detection method is provided, and in the fifth embodiment, when the cloud server does not store the detection data of the reference system of the same type as the system to be detected, prompt information is generated to prompt a detector to perform a detection step on the system to be detected according to a preset detection flow and preset detection data stream parameters, the detection step includes:
and uploading the identity identifier of the system to be detected and the corresponding detection flow, and the detection data stream parameters to a cloud server end for processing and storing by the cloud server end for calling.
after the system to be detected is detected for the first time, the system identity identification and corresponding detection data stream parameters are uploaded to the cloud server side in a consistent manner due to the first detection, so that the cloud server side can process and store the system identity identification and the corresponding detection data stream parameters, and the data stream parameters and the detection flow can be called when the same system of other vehicles is detected.
in this embodiment, the detection data stream parameters are uploaded to the cloud server side through the identity identifier of the system to be detected and the corresponding detection process, so that the cloud server side can process and store the detection data stream parameters for calling. Therefore, when the same system of other vehicles is detected, the detection data can be directly called, and the user experience is improved.
in a first embodiment of a vehicle detection device according to the present invention, referring to fig. 4, the vehicle detection device includes:
The first acquisition module 10 is used for acquiring an identity of a system to be detected in a vehicle;
The method comprises the steps of obtaining an identity of a system to be detected in a vehicle, wherein the vehicle can comprise a plurality of systems to be detected, the vehicle can be determined by an ID (identity identification number) and a vehicle frame number (VIN) of the vehicle, the identity of the system to be detected corresponding to the vehicle to be detected is obtained, the identity of the system to be detected is uniquely determined, in the obtaining process, any system parameter of the system to be detected is obtained, the any system parameter can be one of the version number, the model number, the production year and the like of the system, the parameter can be input by a detector or selected by the detector, the detector comprises a terminal which can detect a mobile radio device of the system to be detected, such as a mobile phone and the like, and can transmit a mobile radio device with preset frequency, the mobile radio device and the system, and NFC (near field communication) is used for communication, a corresponding instruction is sent to the system to be detected according to the arbitrary parameters, the identity of the system to be detected is determined according to the feedback information corresponding to the instruction, and the identity of the system to be detected is recorded.
The judging module 20 is configured to judge whether the cloud server side stores detection data of reference systems of the same type as the system to be detected according to the identity;
Judging whether the cloud server end stores detection data of a corresponding reference system of the same type as the system to be detected according to the identity, wherein the detection data comprises a detection flow followed by the system to be detected when the system to be detected is detected, selecting a detection data stream parameter when the system to be detected is detected, judging whether the system to be detected is detected for the first time, when the system to be detected is not detected for the first time, the cloud server end stores a flow for detecting the system to be detected, the data stream parameter which needs to be selected when the system to be detected is an engine is described by a specific embodiment, if a plurality of performances of the engine need to be detected, the detection flow comprises a sequence for detecting the plurality of performances, the data stream parameter comprises parameters such as the rotating speed, the load and the like of the engine, and the reference system and the system to be detected have the same identity, if the identity identifications of the same system of the multiple vehicles are the same, the corresponding detection is carried out, including various performance detections carried out on the reference system, the performance of the reference system is known according to the detection result, and the like.
and the invoking module 30 is configured to, when the detection data of the reference system is stored at the cloud server, invoke the detection data, and detect the system to be detected according to the detection data.
when the detection data of the reference system are stored in the cloud server, the detection data stored in the reference system is that the system to be detected is not detected for the first time, the detection data is called, namely, messages such as a detection flow and detection parameters need to be selected when the system to be detected is called for detection, manual selection on a detector is not needed in the process, the detection instructions are selected for multiple times, only the detection instructions are sent according to the identity marks of the system to be detected, and the detector automatically realizes detection of the system to be detected and obtains the detection result.
In this embodiment, the first obtaining module 10 is configured to obtain an identity of a system to be detected in a vehicle; the judging module 20 is configured to judge whether the cloud server side stores detection data of reference systems of the same type as the system to be detected according to the identity; and the invoking module 30 is configured to, when the detection data of the reference system is stored at the cloud server, invoke the detection data, and detect the system to be detected according to the detection data. Because if the cloud server end has the detection data of the detected reference system, the detection data is called, and the detection system is detected according to the detection data, when the same detection system is detected by a plurality of vehicles, the detection data does not need to be repeatedly selected on the detector, the detection instruction is sent according to the identity of the detection system, and the data is called according to the instruction, so that the detection method is simple in operation process, not easy to make mistakes, further improves the detection efficiency, and correspondingly improves the detection experience.
further, on the basis of the first embodiment of the vehicle detection apparatus of the present invention, there is provided a second embodiment of the vehicle detection apparatus, in which, with reference to fig. 5, the retrieval module includes:
the invoking unit 31 is configured to invoke a detection flow and a detection data stream parameter of the reference system at the cloud server side when the detection data of the reference system is stored at the cloud server side;
The generating unit 32 is configured to generate and send a detection instruction to the system to be detected according to the reference system detection flow and the detection data stream parameters;
The first receiving unit 33 is configured to receive data information fed back by the system to be detected according to the detection instruction, so that a detection person can evaluate the performance of the system to be detected according to the data information.
when the detection data of the reference system are stored in the cloud server, the detection flow and the detection data stream parameters of the reference system at the cloud server are called, and a detection instruction is generated at the detector, wherein the detection instruction comprises one or more detection instructions, the detection instructions are sequentially sent to the system to be detected according to the detection flow, and data information fed back by the system to be detected according to the detection instruction is received, and the data information comprises information such as the performance grade and the loss of the system to be detected, so that a detector can evaluate the performance of the system to be detected according to the data information.
in this embodiment, the invoking unit 31 is configured to invoke a detection flow and a detection data flow parameter of the reference system at the cloud server side when the cloud server side has detection data of the reference system; the generating unit 32 is configured to generate and send a detection instruction to the system to be detected according to the reference system detection flow and the detection data stream parameters; the first receiving unit 33 is configured to receive data information fed back by the system to be detected according to the detection instruction, so that a detection person can evaluate the performance of the system to be detected according to the data information. The detector sends a detection instruction according to the detection flow of the reference system and the detection data stream parameters and timely receives the feedback data information such as the performance grade, the loss and the like of the system to be detected, and the process is automatically carried out, so that the time consumption can be reduced, and the user experience is improved.
further, on the basis of the first embodiment of the vehicle detection device of the present invention, there is provided a third embodiment of the vehicle detection device, in which, with reference to fig. 6, the determination means includes:
The sending unit 21 is configured to generate and send a query instruction to the cloud server according to the identity;
and the second receiving unit 22 is configured to receive information fed back by the cloud server according to the query instruction, so as to determine whether the cloud server stores detection data of reference systems of the same type as the system to be detected.
And generating and sending a query instruction to a cloud server according to the identity, and sending different feedback information to a detector according to whether detection data of the reference system and the reference system exist or not so that the detector can judge whether the detection data can be called or not.
In this embodiment, the sending unit 21 is configured to generate and send a query instruction to the cloud server according to the identity; and the second receiving unit 22 is configured to receive information fed back by the cloud server according to the query instruction, so as to determine whether the cloud server stores detection data of reference systems of the same type as the system to be detected. The reference system of the same identity is inquired at the cloud server side according to the identity, if the reference system exists, the corresponding detection data is called, if the reference system does not exist, no data is called, and feedback information of no data calling is sent to the detector in time, so that the waste of time of detection personnel is prevented, and the user experience can be improved.
further, on the basis of the first embodiment of the vehicle detection device of the present invention, there is provided a fourth embodiment of the vehicle detection device, further comprising:
and the prompting module is used for generating prompting information when the detection data of the reference systems of the same type of the system to be detected is not stored in the cloud server so as to prompt detection personnel to realize the detection of the system to be detected according to a preset detection flow and the selection of preset detection data stream parameters.
When the cloud server side does not store the detection data of the corresponding reference system and the reference system, prompt information is generated, the prompt information can be in an audio mode, or in an acousto-optic mode, such as a mode of turning on a breathing lamp on a detector and the like, a detector is prompted that the system to be detected does not store the reference system at the cloud server side, and detection of the system to be detected can be achieved by manually selecting detection flow and detection data stream parameters.
In this embodiment, the prompting module is configured to generate a prompting message when the cloud server does not store the detection data of the reference system of the same type as the system to be detected, so as to prompt a detection person to detect the system to be detected according to a preset detection flow and a preset detection data stream parameter. When the reference system does not exist in the system to be detected, prompt is timely given, and accordingly user experience is improved.
Further, on the basis of the first embodiment of the vehicle detection device of the present invention, there is provided a fifth embodiment of the vehicle detection device, in which the vehicle detection device further includes:
And the uploading module is used for uploading the identity of the system to be detected and the corresponding detection process, and the detection data stream parameters to the cloud server end for processing and storing by the cloud server end for calling.
After the system to be detected is detected for the first time, the system identity identification and corresponding detection data stream parameters are uploaded to the cloud server side in a consistent manner due to the first detection, so that the cloud server side can process and store the system identity identification and the corresponding detection data stream parameters, and the data stream parameters and the detection flow can be called when the same system of other vehicles is detected.
In this embodiment, the uploading module is configured to upload the identification of the system to be detected and the corresponding detection process, and the detected data stream parameters to the cloud server for processing and storage at the cloud server for invocation. Therefore, when the same system of other vehicles is detected, the detection data can be directly called, and the user experience is improved.
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. A vehicle detection method, characterized by comprising:
Sending a corresponding instruction to the system to be detected according to the selected arbitrary parameter, and determining the identity of the system to be detected according to the feedback information corresponding to the corresponding instruction;
acquiring an identity of a system to be detected in a vehicle;
Generating and sending a query instruction to a cloud server according to the identity;
Receiving information fed back by the cloud server according to the query instruction to judge whether the cloud server stores detection data of reference systems of the same type of the system to be detected;
when the cloud server side does not store detection data of reference systems of the same type as the system to be detected, prompt information is generated to prompt detection personnel to detect the system to be detected according to a preset detection flow and preset detection data stream parameters;
Uploading the identity identifier of the system to be detected and the corresponding detection flow, and the detection data stream parameters to a cloud server end for processing and storing by the cloud server end for calling;
and when the detection data of the reference system are stored in the cloud server, calling the detection data, and detecting the system to be detected according to the detection data.
2. the vehicle detection method according to claim 1, wherein the detection data of the reference system includes a detection flow of the system and a detection data stream parameter, and the step of retrieving the detection data when the detection data of the reference system exists at the cloud server side and detecting the system to be detected according to the detection data includes:
when the cloud server side stores detection data of the reference system, a detection flow and detection data stream parameters of the reference system of the cloud server side are called;
Generating and sending a detection instruction to a system to be detected according to a reference system detection flow and a detection data stream parameter;
And receiving data information fed back by the system to be detected according to the detection instruction so that the detection personnel can evaluate the performance of the system to be detected according to the data information.
3. A vehicle detection device, characterized by comprising:
The first acquisition module is used for acquiring the identity of a system to be detected in the vehicle;
the judging module is used for generating and sending a query instruction to the cloud server according to the identity; receiving information fed back by the cloud server according to the query instruction to judge whether the cloud server stores detection data of reference systems of the same type of the system to be detected;
The prompting module is used for generating prompting information when the cloud server side does not store detection data of reference systems of the same type as the system to be detected, so as to prompt detection personnel to select preset detection data flow parameters according to a preset detection flow to realize detection of the system to be detected;
The uploading module is used for uploading the identity identifier of the system to be detected and the corresponding detection process, and the detection data stream parameters to the cloud server end for processing and storage by the cloud server end for calling;
And the calling module is used for calling the detection data when the detection data of the reference system exist in the cloud server terminal and detecting the system to be detected according to the detection data.
4. The vehicle inspection device of claim 3, wherein the inspection data of the reference system includes inspection procedures of the system and inspection data stream parameters, wherein the invoking module comprises:
the system comprises a calling unit, a detection unit and a data stream processing unit, wherein the calling unit is used for calling a detection flow and a detection data stream parameter of a reference system at a cloud server end when the detection data of the reference system are stored at the cloud server end;
The generating unit is used for generating and sending a detection instruction to the system to be detected according to the detection flow of the reference system and the detection data stream parameters;
And the first receiving unit is used for receiving the data information fed back by the system to be detected according to the detection instruction so as to facilitate the detection personnel to evaluate the performance of the system to be detected according to the data information.
Priority Applications (2)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201611156986.7A CN106706335B (en) | 2016-12-14 | 2016-12-14 | Vehicle detection method and device |
| PCT/CN2017/081726 WO2018107641A1 (en) | 2016-12-14 | 2017-04-24 | Method and device for testing vehicle |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201611156986.7A CN106706335B (en) | 2016-12-14 | 2016-12-14 | Vehicle detection method and device |
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| WO2019127497A1 (en) * | 2017-12-29 | 2019-07-04 | 深圳前海达闼云端智能科技有限公司 | Calibration method of detection device and method for obtaining calibration file of detection device |
| CN111707477B (en) * | 2020-05-25 | 2022-07-05 | 上海迪璞电子科技股份有限公司 | Vehicle detection method, device and system |
| CN111929079A (en) * | 2020-10-09 | 2020-11-13 | 北京智科车联科技有限公司 | Annual inspection pre-examining method for vehicle and vehicle |
| CN112446434A (en) * | 2020-12-07 | 2021-03-05 | 交控科技股份有限公司 | Interlocking equipment detection method and system based on image recognition |
| CN112903316B (en) * | 2021-01-18 | 2023-08-15 | 深圳市元征科技股份有限公司 | Detection method, detection device and terminal equipment |
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| JP3963181B2 (en) * | 2003-12-03 | 2007-08-22 | トヨタ自動車株式会社 | Vehicle fault diagnosis system |
| US8315760B2 (en) * | 2008-12-03 | 2012-11-20 | Mitchell Repair Information Company LLC | Method and system for retrieving diagnostic information |
| CN102023097A (en) * | 2009-09-15 | 2011-04-20 | 孙志鸿 | Vehicle detection system and vehicle detection method |
| JP5633262B2 (en) * | 2010-01-07 | 2014-12-03 | 株式会社デンソー | Vehicle information storage device, vehicle diagnostic system, and program |
| JP5795287B2 (en) * | 2012-05-23 | 2015-10-14 | 株式会社堀場製作所 | Test system |
| CN203758749U (en) * | 2013-05-31 | 2014-08-06 | 驾道科技有限公司 | Equipment for detection and monitoring management of motor vehicle |
| CN105493083B (en) * | 2013-07-08 | 2019-04-09 | Oct三重工业有限责任公司 | The system and method estimated for Pre-Evaluation vehicle diagnostics and maintenance cost |
| US9346469B2 (en) * | 2014-02-07 | 2016-05-24 | Ford Global Technologies, Llc | Method and system for engine and powertrain control |
| CN203732283U (en) * | 2014-02-24 | 2014-07-23 | 深圳市泰慧自动化技术有限公司 | Vehicle performance detection system |
| CN104601692B (en) * | 2015-01-13 | 2019-06-04 | 北京京东尚科信息技术有限公司 | Travelling data processing method, equipment and system based on cloud storage |
| CN104780223A (en) * | 2015-04-30 | 2015-07-15 | 广东志高空调有限公司 | Whole construction process monitoring system and monitoring method based on cloud computing technology |
| CN105892441B (en) * | 2015-08-11 | 2019-02-05 | 北京长城华冠汽车科技股份有限公司 | A kind of test device and test method of mounted remote monitoring system |
| CN105301383B (en) * | 2015-09-15 | 2018-03-23 | 浙江吉利汽车研究院有限公司 | A kind of automotive check method and system |
| CN105223028A (en) * | 2015-10-10 | 2016-01-06 | 福州车友网络科技有限公司 | A kind of remote machine motor-car comprehensive detection appraisal procedure and system |
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| WO2018107641A1 (en) | 2018-06-21 |
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