CN113885468A - New energy automobile fault diagnosis system based on thing networking - Google Patents
New energy automobile fault diagnosis system based on thing networking Download PDFInfo
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- CN113885468A CN113885468A CN202110871218.4A CN202110871218A CN113885468A CN 113885468 A CN113885468 A CN 113885468A CN 202110871218 A CN202110871218 A CN 202110871218A CN 113885468 A CN113885468 A CN 113885468A
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- 238000003745 diagnosis Methods 0.000 title claims abstract description 63
- 230000006855 networking Effects 0.000 title description 2
- 230000007613 environmental effect Effects 0.000 claims abstract description 9
- 230000010365 information processing Effects 0.000 claims abstract description 9
- 230000006698 induction Effects 0.000 claims abstract description 5
- 238000004806 packaging method and process Methods 0.000 claims abstract description 4
- 238000000034 method Methods 0.000 claims description 15
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- 238000013500 data storage Methods 0.000 claims description 3
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- 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
- G05B23/0218—Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults characterised by the fault detection method dealing with either existing or incipient faults
- G05B23/0221—Preprocessing measurements, e.g. data collection rate adjustment; Standardization of measurements; Time series or signal analysis, e.g. frequency analysis or wavelets; Trustworthiness of measurements; Indexes therefor; Measurements using easily measured parameters to estimate parameters difficult to measure; Virtual sensor creation; De-noising; Sensor fusion; Unconventional preprocessing inherently present in specific fault detection methods like PCA-based methods
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Abstract
The invention provides a new energy automobile fault diagnosis system based on the Internet of things, which comprises a cloud diagnosis platform and a fault information acquisition platform; the fault information acquisition platform comprises: the sensing module is used for acquiring environmental information of the vehicle; the information acquisition module is used for acquiring running information and fault information of the vehicle; the information processing module is used for extracting the running information, the fault information and the environment information of the vehicle, packaging and establishing a fault information data packet; the interconnection module is used for sending the fault information data packet to the cloud diagnosis platform; and the cloud diagnosis platform is used for acquiring the fault information data packet and carrying out fault diagnosis according to the content of the fault information data packet. The invention realizes the collection and the storage of the automobile fault information by utilizing the induction module, the information collection module and the information processing module, and realizes the complete reservation of the automobile fault information by storing the fault data through the interconnection module.
Description
Technical Field
The invention relates to an automobile diagnosis system, in particular to a new energy automobile fault diagnosis system based on the Internet of things.
Background
With the deep development of the technology of electric vehicles and unmanned vehicles, various automobile manufacturers introduce the unmanned technology into automobiles, but compared with the traditional vehicles, the electric vehicles and the unmanned vehicles have more sensors and circuit structures on the bodies and are more implemented by software, so that various faults of the existing new energy vehicles occur, a central control black screen is caused at a light time, the driving is seriously influenced at a heavy time, and even spontaneous combustion is caused.
Disclosure of Invention
The invention provides a new energy automobile fault diagnosis system based on the Internet of things, which is used for completely retaining automobile fault information.
The invention provides a new energy automobile fault diagnosis system based on the Internet of things, which comprises a cloud diagnosis platform and a fault information acquisition platform;
the fault information collection platform comprises:
the sensing module is used for acquiring environmental information of the vehicle;
the information acquisition module is used for acquiring running information and fault information of the vehicle;
the information processing module is used for extracting running information, fault information and environment information of the vehicle, packaging and establishing a fault information data packet;
the interconnection module is used for sending the fault information data packet to the cloud diagnosis platform;
and the cloud diagnosis platform is used for acquiring the fault information data packet and carrying out fault diagnosis according to the content of the fault information data packet.
Further, the cloud diagnosis platform further comprises an information feedback process, and the information feedback process is used for sending the solution after fault diagnosis to the fault information acquisition platform.
Further, the induction module comprises a radar unit and a camera unit, the radar unit is used for acquiring environment information around the vehicle, and the camera unit is used for acquiring environment image information around the vehicle.
Furthermore, the sensing module further comprises a vibration sensing unit, and the vibration sensing unit is used for acquiring the vibration condition of the vehicle body.
Further, in the running process of the vehicle, the information acquisition module acquires running information of the vehicle, wherein the running information comprises the rotation angle of a steering wheel, an accelerator pedal signal, a brake pedal signal and the signal change of a steering lamp of the vehicle.
Further, the fault information includes battery temperature information.
Further, the cloud diagnosis platform comprises a fault storage unit, a diagnosis analysis unit and a solution grabbing unit;
the fault storage unit is used for storing vehicle fault information;
the diagnosis and analysis unit is used for analyzing and capturing vehicle fault information to acquire key information;
and the solution grabbing unit is used for grabbing and matching the network information according to the key information to obtain a solution.
Further, the cloud diagnosis platform comprises a solution information feedback process:
s101, a fault storage unit collects fault information sent by a fault information collection platform and establishes a data packet;
s102, analyzing and capturing data in the data packet by a diagnosis and analysis unit to acquire key information;
s103, the solution grabbing unit grabs the solution according to the key information to obtain the solution;
and S104, supplementing the solution into a data packet by the fault storage unit and sending the solution to the fault information acquisition platform.
Further, the new energy automobile fault diagnosis system based on the internet of things further comprises a relay end, and when the fault information collection platform cannot communicate with the cloud diagnosis platform, the fault information collection platform sends a fault information data packet to the relay end to store data.
Further, the relay terminal can be one or more of a mobile phone and a fault information acquisition platform installed on other vehicles.
Compared with the prior art, the automobile fault information collection and storage device has the advantages that the induction module, the information collection module and the information processing module are utilized to collect and store automobile fault information, and the interconnection module is used to store fault data to completely retain the automobile fault information.
Drawings
FIG. 1 is a block diagram of an embodiment of the present invention;
fig. 2 is a diagram illustrating an information feedback process according to an embodiment of the present invention.
Detailed Description
In order to make the technical solutions of the present invention better understood by those skilled in the art, the technical solutions in the embodiments of the present invention will be clearly and completely described below, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all embodiments.
The embodiment of the invention discloses a new energy automobile fault diagnosis system based on the Internet of things, which comprises a cloud diagnosis platform and a fault information acquisition platform, as shown in FIG. 1;
the fault information collection platform comprises:
the sensing module is used for acquiring environmental information of the vehicle;
the sensing module can scan and detect the environmental information around the vehicle by adopting modes of laser, radar, camera shooting and the like;
the information acquisition module is used for acquiring running information and fault information of the vehicle;
the information acquisition module is used for acquiring running information of the vehicle, wherein the running information comprises accelerator pedal information, brake pedal information, tire pressure information, electric quantity information, battery temperature information, automobile fault information and the like of the vehicle;
the information processing module is used for extracting running information, fault information and environment information of the vehicle, packaging and establishing a fault information data packet;
the information processing module collects and analyzes the information collected by the sensing module and the information collecting module, and determines the running state of the vehicle;
the interconnection module is used for sending the fault information data packet to the cloud diagnosis platform;
and the cloud diagnosis platform is used for acquiring the fault information data packet and carrying out fault diagnosis according to the content of the fault information data packet.
The embodiment of the invention realizes the collection and storage of the automobile fault information by utilizing the induction module, the information collection module and the information processing module, and realizes the complete reservation of the automobile fault information by storing the fault data through the interconnection module.
Optionally, the cloud diagnosis platform further includes an information feedback process, and the information feedback process is used for sending the solution after the fault diagnosis to the fault information collection platform.
The fault information acquisition platform is further provided with a display screen, and the solution after fault diagnosis can be displayed through the display screen.
The embodiment of the invention adopts an information feedback process, so that the fault information acquisition platform can collect a fault solution, and a vehicle owner or a vehicle repairer can obtain the fault solution through the fault information acquisition platform.
Optionally, the sensing module includes a radar unit and a camera unit, the radar unit is used for acquiring environmental information around the vehicle, and the camera unit is used for acquiring environmental image information around the vehicle.
In particular, the sensing module further comprises a vibration sensing unit, and the vibration sensing unit is used for acquiring the vibration condition of the vehicle body.
The vibration sensing units are provided with a plurality of vibration sensing units, are arranged in the bottom of the vehicle and are used for acquiring the vibration conditions of all parts of the vehicle body.
The embodiment of the invention can effectively detect the vibration condition of the vehicle body by adopting the vibration sensing unit, if the vibration of the vehicle body is obvious, the road is not flat, so that the effective sensing of the road surface flatness condition is realized, the vibration condition of the vehicle when the vehicle fault occurs can be effectively determined by recording the vibration condition, and if the fault occurs after the vibration, the high probability of the fault reason is related to the driving condition of the vehicle.
Optionally, in the vehicle running process, the information acquisition module acquires running information of the vehicle, wherein the running information includes changes of a steering wheel rotation angle, an accelerator pedal signal, a brake pedal signal and an automobile steering lamp signal.
The information processing module can acquire the current running state of the vehicle according to the running information and analyze the future running state.
If the steering wheel rotation angle and the automobile steering lamp signal change to the same direction, the driver has a steering or lane changing tendency;
if the accelerator pedal signal is weakened or strengthened, the driver wants to drive at a constant speed or in an accelerated manner;
if the brake pedal signal is strengthened, the driver intends to brake at a reduced speed.
The embodiment of the invention can effectively analyze the current driving condition of the vehicle and the future driving direction by collecting the operation information.
Optionally, the fault information includes battery temperature information.
Optionally, the cloud diagnosis platform includes a fault storage unit, a diagnosis analysis unit, and a solution capture unit;
the fault storage unit is used for storing vehicle fault information;
the diagnosis and analysis unit is used for analyzing and capturing vehicle fault information to acquire key information;
and the solution grabbing unit is used for grabbing and matching the network information according to the key information to obtain a solution.
As shown in fig. 2, the cloud diagnosis platform includes a solution information feedback process:
s101, a fault storage unit collects fault information sent by a fault information collection platform and establishes a data packet;
the fault storage unit names the data packet by the frame number or the vehicle name;
s102, analyzing and capturing data in the data packet by a diagnosis and analysis unit to acquire key information;
the diagnostic analysis unit extracts data in the data packet, matches automobile parameter data in the data with a set safety threshold, if the automobile parameter data in the data obviously exceed the safety threshold, sets the data as fault information, and takes the fault information as key information;
s103, the solution grabbing unit grabs the solution according to the key information to obtain the solution;
and S104, supplementing the solution into a data packet by the fault storage unit and sending the solution to the fault information acquisition platform.
After the fault information acquisition platform acquires the solution, the solution can be wirelessly sent to the vehicle owner or displayed on a control screen of the vehicle to prompt the vehicle owner of the fault.
According to the embodiment of the invention, the problem information feedback process is solved, so that the owner can obtain the problem solution in time, and the owner can know the problem condition conveniently.
Optionally, the new energy vehicle fault diagnosis system based on the internet of things further comprises a relay terminal, and when the fault information collection platform cannot communicate with the cloud diagnosis platform, the fault information collection platform sends the fault information data packet to the relay terminal for data storage.
If the information acquisition module monitors that the temperature of the automobile battery exceeds a safety threshold value and the fault information acquisition platform cannot communicate with the cloud diagnosis platform, the fault information acquisition platform sends a fault information data packet to the relay terminal for data storage.
In particular, the relay terminal can be one or more of a mobile phone and a fault information acquisition platform installed on other vehicles.
By arranging the relay terminal, when the fault diagnosis system cannot be connected with the fault information acquisition platform due to signal influence, such as when a vehicle fault can be damaged due to spontaneous combustion and the like, the fault information data packet can be sent to the relay terminal, so that the fault information data packet can be stored, and the fault information data packet loss caused by the damage of the vehicle is avoided.
Finally, it should be noted that the above-mentioned embodiments are only used for illustrating the technical solutions of the present invention and not for limiting the same, and although the present invention is described in detail with reference to the above-mentioned embodiments, it should be understood by those skilled in the art that the modifications and equivalents of the specific embodiments of the present invention can be made by those skilled in the art after reading the present specification, but these modifications and variations do not depart from the scope of the claims of the present application.
Claims (10)
1. The new energy automobile fault diagnosis system based on the Internet of things is characterized by comprising a cloud diagnosis platform and a fault information acquisition platform;
the fault information collection platform comprises:
the sensing module is used for acquiring environmental information of the vehicle;
the information acquisition module is used for acquiring running information and fault information of the vehicle;
the information processing module is used for extracting running information, fault information and environment information of the vehicle, packaging and establishing a fault information data packet;
the interconnection module is used for sending the fault information data packet to the cloud diagnosis platform;
and the cloud diagnosis platform is used for acquiring the fault information data packet and carrying out fault diagnosis according to the content of the fault information data packet.
2. The new energy automobile fault diagnosis system based on the internet of things of claim 1, wherein the cloud diagnosis platform further comprises an information feedback process, and the information feedback process is used for sending a solution after fault diagnosis to the fault information collection platform.
3. The new energy automobile fault diagnosis system based on the internet of things of claim 1, wherein the induction module comprises a radar unit and a camera unit, the radar unit is used for acquiring environmental information around the vehicle, and the camera unit is used for acquiring environmental image information around the vehicle.
4. The new energy automobile fault diagnosis system based on the Internet of things is characterized in that the sensing module further comprises a vibration sensing unit, and the vibration sensing unit is used for acquiring the vibration condition of an automobile body.
5. The new energy automobile fault diagnosis system based on the internet of things of claim 1, wherein in the running process of the automobile, the information acquisition module acquires running information of the automobile, and the running information comprises a steering wheel rotation angle, an accelerator pedal signal, a brake pedal signal and automobile steering lamp signal changes.
6. The new energy automobile fault diagnosis system based on the internet of things of claim 1, wherein the fault information comprises battery temperature information.
7. The new energy automobile fault diagnosis system based on the internet of things of claim 1, wherein the cloud diagnosis platform comprises a fault storage unit, a diagnosis and analysis unit and a solution grabbing unit;
the fault storage unit is used for storing vehicle fault information;
the diagnosis and analysis unit is used for analyzing and capturing vehicle fault information to acquire key information;
and the solution grabbing unit is used for grabbing and matching the network information according to the key information to obtain a solution.
8. The new energy automobile fault diagnosis system based on the internet of things of claim 1, wherein the cloud diagnosis platform comprises an information feedback solving process:
s101, a fault storage unit collects fault information sent by a fault information collection platform and establishes a data packet;
s102, analyzing and capturing data in the data packet by a diagnosis and analysis unit to acquire key information;
s103, the solution grabbing unit grabs the solution according to the key information to obtain the solution;
and S104, supplementing the solution into a data packet by the fault storage unit and sending the solution to the fault information acquisition platform.
9. The new energy vehicle fault diagnosis system based on the internet of things of claim 1, further comprising a relay, wherein when the fault information collection platform cannot communicate with the cloud diagnosis platform, the fault information collection platform sends the fault information data packet to the relay for data storage.
10. The new energy automobile fault diagnosis system based on the internet of things of claim 9, wherein the relay terminal can be one or more of a mobile phone and a fault information acquisition platform installed on other vehicles.
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| Application Number | Priority Date | Filing Date | Title |
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| CN202110871218.4A CN113885468A (en) | 2021-07-30 | 2021-07-30 | New energy automobile fault diagnosis system based on thing networking |
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| CN202110871218.4A CN113885468A (en) | 2021-07-30 | 2021-07-30 | New energy automobile fault diagnosis system based on thing networking |
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Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106054867A (en) * | 2016-07-28 | 2016-10-26 | 重庆峰创科技有限公司 | New energy vehicle fault diagnosis device based on Internet of things and cloud computing |
| CN106647275A (en) * | 2016-12-29 | 2017-05-10 | 上海巽晔计算机科技有限公司 | Remote monitoring system for new energy vehicle |
| CN108469802A (en) * | 2018-01-31 | 2018-08-31 | 武汉华威专用汽车检测有限责任公司 | A kind of information of vehicles remote monitoring and diagnostics system |
| CN111552277A (en) * | 2020-05-29 | 2020-08-18 | 上海挚达科技发展有限公司 | Vehicle fault diagnosis method based on Internet of things |
| CN211374073U (en) * | 2020-03-27 | 2020-08-28 | 交通运输部公路科学研究所 | Automobile fault remote diagnosis system |
-
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- 2021-07-30 CN CN202110871218.4A patent/CN113885468A/en active Pending
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106054867A (en) * | 2016-07-28 | 2016-10-26 | 重庆峰创科技有限公司 | New energy vehicle fault diagnosis device based on Internet of things and cloud computing |
| CN106647275A (en) * | 2016-12-29 | 2017-05-10 | 上海巽晔计算机科技有限公司 | Remote monitoring system for new energy vehicle |
| CN108469802A (en) * | 2018-01-31 | 2018-08-31 | 武汉华威专用汽车检测有限责任公司 | A kind of information of vehicles remote monitoring and diagnostics system |
| CN211374073U (en) * | 2020-03-27 | 2020-08-28 | 交通运输部公路科学研究所 | Automobile fault remote diagnosis system |
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Application publication date: 20220104 |