CN114261352A - Automobile accurate maintenance reminding method based on big data analysis - Google Patents
Automobile accurate maintenance reminding method based on big data analysis Download PDFInfo
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Abstract
The invention relates to the technical field of automobile maintenance, in particular to an accurate automobile maintenance reminding method based on big data analysis, which comprises an automobile body, a hardware system framework and a cloud server, wherein the hardware system framework comprises a processor, a GPRS communication module, an airbag module, an automobile running signal detection module, a leisure detection module and an acceleration module, and the engine mileage detection module, an automobile brake Hall sensing module, a steering wheel steering acquisition module and an automobile running information detection module are arranged, so that the engine mileage, the automobile brake condition and the steering wheel steering condition of the automobile body can be conveniently detected, and operators can be conveniently reminded to maintain the automobile body when the engine mileage is too high, the automobile brake is insensitive and the steering wheel is difficult to steer.
Description
Technical Field
The invention relates to the technical field of automobile maintenance, in particular to an automobile accurate maintenance reminding method based on big data analysis.
Background
Automobiles are a very important vehicle in modern society and have a complicated mechanical structure. In the running process of the automobile, all mechanical parts are inevitably worn and consumed, and the loss of the automobile is caused by the influence of factors such as external human factors, environment and the like. According to the driving condition of the automobile, an automobile manufacturer usually makes a corresponding automobile maintenance period, and requires that the automobile achieves a certain mileage and then performs unified maintenance on relevant parts of the automobile.
Because there is great difference in the actual use condition of every car, for example, road conditions, service environment, driver's driving technique, to the vehicle love degree difference etc. all can lead to the actual degree of loss of each part of the vehicle of the same mileage of traveling to have great difference to make and come to unify the maintenance to each part of vehicle according to fixed mileage of traveling, lead to the individual part of vehicle impaired because the maintenance is not enough often very easily, perhaps cause the waste because the maintenance is too frequent.
Disclosure of Invention
Technical problem to be solved
Aiming at the defects of the prior art, the invention provides an automobile accurate maintenance reminding method based on big data analysis.
(II) technical scheme
In order to achieve the purpose, the invention provides the following technical scheme: a method for reminding accurate maintenance of an automobile based on big data analysis comprises an automobile body, a hardware system framework and a cloud server, wherein the hardware system framework comprises a processor, a GPRS communication module, an airbag module, an automobile running signal detection module, a leisure detection module and an acceleration module, the processor is respectively electrically connected with the GPRS communication module, the airbag module, the automobile running signal detection module, the leisure detection module and the acceleration module, a signal transmission device, an automobile airbag MCU detection module, an engine mileage detection module, an automobile brake Hall sensing module, a steering wheel steering collection module, a volume detection module, a light detection module and a dynamic analytic sensor are arranged in the automobile body, the signal transmission device is electrically connected with the GPRS communication module, the signal transmission device is connected with the cloud server through wireless signals, the automobile air bag MCU detection module is electrically connected with the air bag safety module, the engine mileage detection module, the automobile brake Hall sensing module and the steering wheel steering acquisition module are electrically connected with the automobile running signal detection module, the volume detection module and the light detection module are electrically connected with the leisure detection module, and the dynamic analysis sensor is electrically connected with the acceleration module.
In order to facilitate detection of the air conditioner operation condition and prompt an operator to maintain and overhaul when the air conditioner is abnormally operated, the hardware system framework is internally provided with an air conditioner correction module, a temperature sensor is arranged in the vehicle body, and the air conditioner correction module is respectively and electrically connected with the processor and the temperature sensor.
In order to facilitate detection of the moving inertia of the vehicle body and prompt an operator to maintain the vehicle body in time, the invention has the improvement that a moving inertia module is arranged in the hardware system framework, a positioning signal compensation module is arranged in the vehicle body, and the moving inertia module is respectively and electrically connected with the processor and the positioning signal compensation module.
In order to facilitate detection of the inclination of the vehicle body and the tire pressure and further facilitate reminding an operator of maintaining the vehicle body when the vehicle inclines and the tire pressure is too high or too low, the invention has the improvement that the hardware system architecture is internally provided with an attitude module, the vehicle body is internally provided with a vehicle inclination sensor and a tire pressure detection module, and the attitude module is respectively and electrically connected with the processor, the vehicle inclination sensor and the tire pressure detection module.
In order to facilitate timely reminding of an operator in terms of light when the vehicle body needs maintenance, the vehicle body is improved in the invention, a prompting lamp and a signal receiving device are arranged in the vehicle body, and the signal receiving device is electrically connected with the prompting lamp and is in electric signal connection with a cloud server.
In order to store the running data of the vehicle body and facilitate the subsequent analysis of the running condition of the vehicle body, the invention has the improvement that a data storage module is arranged in the hardware system architecture, an EEPROM (electrically erasable programmable read-only memory) is arranged in the data storage module, and the data storage module is electrically connected with the processor.
The invention further provides a method for reminding the accurate maintenance of the automobile based on big data analysis, which comprises the following specific steps:
the method comprises the following steps: when the automobile air bag inclination detection device is used, the automobile body detects the storage condition of the air bag through the automobile air bag MCU detection module before starting, the inclination of the automobile body is detected through the automobile inclination sensor, and the tire air pressure is detected through the tire air pressure sensor;
step two: after the automobile body is started, the engine mileage of the automobile body, the automobile brake condition and the steering condition of the steering wheel can be conveniently detected through the arrangement of the engine mileage detection module, the automobile brake Hall sensing module, the steering wheel steering acquisition module and the automobile operation information detection module;
step three: the detection result is uploaded to the cloud server through the signal transmission device, the cloud server judges whether the vehicle body needs to be maintained through analysis and comparison of signals, and then the prompt lamp is controlled to work through the signal receiving device to remind an operator.
(III) advantageous effects
Compared with the prior art, the invention provides an automobile accurate maintenance reminding method based on big data analysis, which has the following beneficial effects:
according to the method for reminding accurate maintenance of the automobile based on big data analysis, the engine mileage detection module, the automobile brake Hall sensing module, the steering wheel steering acquisition module and the automobile operation information detection module are arranged, so that the engine mileage, the automobile brake condition and the steering wheel steering condition of the automobile body can be conveniently detected, and therefore an operator can be conveniently reminded to maintain the automobile body when the engine mileage is too high, the automobile brake is insensitive and the steering wheel is difficult to steer. Through the setting of gesture module, car gradient sensor and tire pressure detection module, be convenient for detect the gradient and the tire pressure of automobile body to be convenient for take place the slope at the car and tire pressure too high or cross when low remind operating personnel to maintain its automobile body, through the setting of signal receiving device and warning light, be convenient for in time carry out the warning in the aspect of the light to operating personnel when the automobile body needs to be maintained.
Drawings
FIG. 1 is a schematic structural view of the present invention;
FIG. 2 is a diagram illustrating a hardware architecture of the present invention;
in the figure: 1. a hardware system architecture; 2. a cloud server; 3. a processor; 4. a GPRS communication module; 5. an airbag module; 6. the automobile running signal detection module; 7. a leisure detection module; 8. an acceleration module; 9. a signal transmission device; 10. an automobile airbag MCU detection module; 11. an engine mileage detection module; 12. the automobile brake Hall sensing module; 13. a steering wheel steering acquisition module; 14. a volume detection module; 15. a light detection module; 16. a dynamic analytic sensor; 17. an air conditioner rectification module; 18. a temperature sensor; 19. a mobile inertia module; 20. a positioning signal compensation module; 21. a posture module; 22. an automotive inclination sensor; 23. a tire pressure detection module; 24. a warning light; 25. a signal receiving device; 26. and a data storage module.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Referring to fig. 1-2, a method for reminding accurate maintenance of an automobile based on big data analysis comprises an automobile body, a hardware system architecture 1 and a cloud server 2, wherein the hardware system architecture 1 comprises a processor 3, a GPRS communication module 4, an airbag module 5, an automobile running signal detection module 6, a leisure detection module 7 and an acceleration module 8, the processor 3 is electrically connected with the GPRS communication module 4, the airbag module 5, the automobile running signal detection module 6, the leisure detection module 7 and the acceleration module 8 respectively, a signal transmission device 9, an automobile airbag MCU detection module 10, an engine mileage detection module 11, an automobile brake hall sensing module 12, a steering wheel steering collection module 13, a volume detection module 14, a light detection module 15 and a dynamic analysis sensor 16 are arranged in the automobile body, the signal transmission device 9 is electrically connected with the GPRS communication module 4, the signal transmission device 9 is connected with the cloud server 2 through wireless signals, the automobile airbag MCU detection module 10 is electrically connected with the safety airbag module 5, the engine mileage detection module 11, the automobile brake Hall sensing module 12 and the steering wheel steering acquisition module 13 are electrically connected with the automobile running signal detection module 6, the volume detection module 14 and the light detection module 15 are electrically connected with the leisure detection module 7, and the dynamic analysis sensor 16 is electrically connected with the acceleration module 8.
The built-in inertia module 19 that removes of hardware system framework 1, set up locating signal compensation module 20 in the automobile body, remove inertia module 19 respectively with treater 3 and locating signal compensation module 20 electric connection, be convenient for detect the removal inertia of automobile body to be convenient for in time remind operating personnel to maintain it.
Set up warning light 24 and signal reception device 25 in the automobile body, signal reception device 25 and 24 electric connection of warning light and with 2 electric signal connection in the high in the clouds server, be convenient for in time carry out the warning in the aspect of the light to operating personnel when the automobile body needs the maintenance.
The hardware system architecture 1 is internally provided with a data storage module 26, the data storage module 26 is internally provided with an EEPROM (electrically erasable programmable read-only memory), and the data storage module 26 is electrically connected with the processor 3, so that the running data of the vehicle body can be conveniently stored, and the running condition of the vehicle body can be conveniently analyzed subsequently.
The invention further provides a method for reminding the accurate maintenance of the automobile based on big data analysis, which comprises the following specific steps:
the method comprises the following steps: when the automobile air bag inclination detection device is used, the automobile body detects the storage condition of an air bag through the automobile air bag MCU detection module 10 before starting, the inclination of the automobile body is detected through the automobile inclination sensor 22, and the tire air pressure is detected through the tire air pressure sensor;
step two: after the vehicle body is started, the engine mileage of the vehicle body, the vehicle braking condition and the steering condition of the steering wheel can be conveniently detected through the arrangement of the engine mileage detection module 11, the vehicle braking Hall sensing module 12, the steering wheel steering acquisition module 13 and the vehicle running information detection module;
step three: the detection result is uploaded to the cloud server 2 through the signal transmission device 9, the cloud server 2 judges whether the vehicle body needs to be maintained through analysis and comparison of signals, and then the signal receiving device 25 controls the prompt lamp 24 to work and remind an operator.
In the description herein, it is to be noted that, unless expressly stated or limited otherwise, the terms "connected" and "connected" are to be construed broadly, e.g., as meaning either a fixed connection, a removable connection, or an integral connection; the connection may be mechanical or electrical, and may be direct or indirect via an intermediate. The specific meanings of the above terms in the present invention can be understood in specific cases to those skilled in the art.
Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that changes, modifications, substitutions and alterations can be made in these embodiments without departing from the principles and spirit of the invention, the scope of which is defined in the appended claims and their equivalents.
Claims (7)
1. The utility model provides a method is reminded in accurate maintenance of car based on big data analysis, includes automobile body, hardware system framework (1) and cloud server (2), its characterized in that: the hardware system architecture (1) comprises a processor (3), a GPRS communication module (4), an airbag module (5), an automobile running signal detection module (6), a leisure detection module (7) and an acceleration module (8), wherein the processor (3) is respectively electrically connected with the GPRS communication module (4), the airbag module (5), the automobile running signal detection module (6), the leisure detection module (7) and the acceleration module (8), a signal transmission device (9), an automobile airbag MCU detection module (10), an engine mileage detection module (11), an automobile brake Hall sensing module (12), a steering wheel steering acquisition module (13), a volume detection module (14), a light detection module (15) and a dynamic analysis sensor (16) are arranged in the automobile body, the signal transmission device (9) is electrically connected with the GPRS communication module (4), signal transmission device (9) and high in the clouds server (2) pass through wireless signal connection, car gasbag MCU detection module (10) and air bag module (5) electric connection, engine mileage detection module (11), car brake hall response module (12) and steering wheel turn to collection module (13) and car running signal detection module (6) electric connection, volume detection module (14) and light detection module (15) and leisure detection module (7) electric connection, dynamic analysis sensor (16) and acceleration module (8) electric connection.
2. The automobile accurate maintenance reminding method based on big data analysis as claimed in claim 1, wherein: the hardware system framework (1) is internally provided with an air conditioner correction module (17), a temperature sensor (18) is arranged in the car body, and the air conditioner correction module (17) is electrically connected with the processor (3) and the temperature sensor (18) respectively.
3. The automobile accurate maintenance reminding method based on big data analysis as claimed in claim 1, wherein: the hardware system architecture (1) is internally provided with a mobile inertia module (19), the vehicle body is internally provided with a positioning signal compensation module (20), and the mobile inertia module (19) is electrically connected with the processor (3) and the positioning signal compensation module (20) respectively.
4. The automobile accurate maintenance reminding method based on big data analysis as claimed in claim 1, wherein: the hardware system framework (1) is internally provided with a posture module (21), the vehicle body is internally provided with a vehicle inclination sensor (22) and a tire air pressure detection module (23), and the posture module (21) is electrically connected with the processor (3), the vehicle inclination sensor (22) and the tire air pressure detection module (23) respectively.
5. The automobile accurate maintenance reminding method based on big data analysis as claimed in claim 1, wherein: set up warning light (24) and signal receiving device (25) in the automobile body, signal receiving device (25) and warning light (24) electric connection just with high in the clouds server (2) electric signal connection.
6. The automobile accurate maintenance reminding method based on big data analysis as claimed in claim 1, wherein: a data storage module (26) is arranged in the hardware system architecture (1), an EEPROM memory is arranged in the data storage module (26), and the data storage module (26) is electrically connected with the processor (3).
7. The automobile accurate maintenance reminding method based on big data analysis as claimed in claim 1, wherein: the method comprises the following steps:
the method comprises the following steps: when the automobile air bag inclination detection device is used, before the automobile body is started, the storage condition of the air bag is detected through the automobile air bag MCU detection module (10), the inclination of the automobile body is detected through the automobile inclination sensor (22), and the tire air pressure is detected through the tire air pressure sensor;
step two: after the automobile body is started, the engine mileage of the automobile body, the automobile braking condition and the steering condition of the steering wheel can be conveniently detected through the arrangement of the engine mileage detection module (11), the automobile braking Hall sensing module (12), the steering wheel steering acquisition module (13) and the automobile operation information detection module;
step three: the detection result is uploaded to the cloud server (2) through the signal transmission device (9), the cloud server (2) judges whether the vehicle body needs to be maintained through analysis and comparison of signals, and then the prompt lamp (24) is controlled to work through the signal receiving device (25) to remind an operator.
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| Application Number | Priority Date | Filing Date | Title |
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| CN202111387245.0A CN114261352A (en) | 2021-11-22 | 2021-11-22 | Automobile accurate maintenance reminding method based on big data analysis |
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| CN202111387245.0A CN114261352A (en) | 2021-11-22 | 2021-11-22 | Automobile accurate maintenance reminding method based on big data analysis |
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Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101301872A (en) * | 2008-06-26 | 2008-11-12 | 徐立 | Vehicle maintenance prompting system |
| CN104103104A (en) * | 2014-07-24 | 2014-10-15 | 深圳市朗仁科技有限公司 | Analyzing system based on VIN and mileage and method |
| CN108068730A (en) * | 2016-11-08 | 2018-05-25 | 大陆汽车投资（上海）有限公司 | For reminding the method for vehicle maintenance and vehicle maintenance prompting system |
| CN111275208A (en) * | 2018-12-04 | 2020-06-12 | 吉利汽车研究院（宁波）有限公司 | Vehicle maintenance reminding system and method |
-
2021
- 2021-11-22 CN CN202111387245.0A patent/CN114261352A/en active Pending
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101301872A (en) * | 2008-06-26 | 2008-11-12 | 徐立 | Vehicle maintenance prompting system |
| CN104103104A (en) * | 2014-07-24 | 2014-10-15 | 深圳市朗仁科技有限公司 | Analyzing system based on VIN and mileage and method |
| CN108068730A (en) * | 2016-11-08 | 2018-05-25 | 大陆汽车投资（上海）有限公司 | For reminding the method for vehicle maintenance and vehicle maintenance prompting system |
| CN111275208A (en) * | 2018-12-04 | 2020-06-12 | 吉利汽车研究院（宁波）有限公司 | Vehicle maintenance reminding system and method |
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