CN111210543A - Automobile detection data analysis system - Google Patents
Automobile detection data analysis system Download PDFInfo
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- CN111210543A CN111210543A CN202010031030.4A CN202010031030A CN111210543A CN 111210543 A CN111210543 A CN 111210543A CN 202010031030 A CN202010031030 A CN 202010031030A CN 111210543 A CN111210543 A CN 111210543A
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- G—PHYSICS
- G07—CHECKING-DEVICES
- G07C—TIME OR ATTENDANCE REGISTERS; REGISTERING OR INDICATING THE WORKING OF MACHINES; GENERATING RANDOM NUMBERS; VOTING OR LOTTERY APPARATUS; ARRANGEMENTS, SYSTEMS OR APPARATUS FOR CHECKING NOT PROVIDED FOR ELSEWHERE
- G07C5/00—Registering or indicating the working of vehicles
- G07C5/08—Registering or indicating performance data other than driving, working, idle, or waiting time, with or without registering driving, working, idle or waiting time
- G07C5/0808—Diagnosing performance data
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- G—PHYSICS
- G07—CHECKING-DEVICES
- G07C—TIME OR ATTENDANCE REGISTERS; REGISTERING OR INDICATING THE WORKING OF MACHINES; GENERATING RANDOM NUMBERS; VOTING OR LOTTERY APPARATUS; ARRANGEMENTS, SYSTEMS OR APPARATUS FOR CHECKING NOT PROVIDED FOR ELSEWHERE
- G07C5/00—Registering or indicating the working of vehicles
- G07C5/08—Registering or indicating performance data other than driving, working, idle, or waiting time, with or without registering driving, working, idle or waiting time
- G07C5/0841—Registering performance data
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- Vehicle Cleaning, Maintenance, Repair, Refitting, And Outriggers (AREA)
Abstract
The invention discloses an automobile detection data analysis system which comprises a current vehicle running data acquisition module, wherein the current vehicle running data acquisition module is connected with a current data storage module, the current data storage module is connected with an automobile state processing module, the automobile state processing module is connected with an automobile running data storage module, the automobile running data storage module is connected with a big data module, the big data module is connected with a data fitting module, the data fitting module is connected with an offline calculation module, and the offline calculation module is connected with a client terminal. The method and the system can provide accurate automobile detection data for customers, and avoid later-period loss caused by blind purchase of the customers.
Description
Technical Field
The invention relates to the technical field of data detection, in particular to an automobile detection data analysis system.
Background
At present, with the development of science and technology, the pace of life of people is gradually increased, and automobiles become tools for people to ride instead of walk in daily life. Compared with new vehicles, the second-hand vehicles are concerned by people due to excellent cost performance. The market for used cars is also growing. However, since the vehicle is a second-hand vehicle, the purchaser is not aware of previous maintenance of the vehicle and the operation state of each component, for example, a certain position of the vehicle is easy to malfunction, and where the painted surface of the vehicle is repaired the most frequently, there is a need for an analysis system to analyze.
Disclosure of Invention
The present invention is directed to a system for analyzing vehicle inspection data, so as to solve the problems of the background art. In order to achieve the purpose, the invention provides the following technical scheme: the utility model provides an automobile inspection data analysis system, includes current vehicle data acquisition module that traveles, current vehicle data acquisition module that traveles connects current data storage module, current data storage module connects car state processing module, car state processing module connects car driving data storage module, big data module is connected to car driving data storage module, big data module connects data fitting module, offline calculation module is connected to data fitting module, offline calculation module connects client terminal.
Preferably, the automobile state processing module comprises a same-vehicle type and same-working-condition processing module and a same-working-condition processing module of different vehicle types.
Preferably, the big data module comprises the data volume of driving today, the number of users driving at high speed, the average oil consumption of hundreds of kilometers, the average daily driving mileage, the average daily oil consumption, a traffic jam user, a night vehicle user, a city user and a two-point one-line user.
Preferably, the off-line calculation comprises report analysis and big data mining, the client terminal is a computer background and a mobile phone, and the mobile phone is provided with a suitable APP.
Preferably, the data fitting module comprises a real-time data fitting module and a historical data fitting module, the real-time data fitting module is used for fitting data under the current working condition in real time, and the historical data fitting module is used for fitting historical data under the same working condition of the vehicle.
Preferably, the automobile detection data analysis system further comprises a vehicle fault data acquisition module, and the vehicle fault data acquisition module is connected with the offline calculation module and used for verifying the calculation result.
The invention has the technical effects and advantages that: the method and the system can provide accurate automobile detection data for customers, and avoid later-period loss caused by blind purchase of the customers.
Drawings
FIG. 1 is a block diagram of the present invention;
Detailed Description
In the description of the present invention, it should be noted that unless otherwise specified or limited, the terms "mounted," "connected," and "connected" are to be construed broadly and may be, for example, fixedly connected, detachably connected, integrally connected, mechanically connected, or electrically connected; they may be connected directly or indirectly through intervening media, or they may be interconnected between two elements.
Example 1
The automobile detection data analysis system shown in fig. 1 comprises a current vehicle running data acquisition module, wherein the current vehicle running data acquisition module is connected with a current data storage module, the current data storage module is connected with an automobile state processing module, the automobile state processing module is connected with an automobile running data storage module, the automobile running data storage module is connected with a big data module, the big data module is connected with a data fitting module, the data fitting module is connected with an offline calculation module, and the offline calculation module is connected with a client terminal.
Example 2
The automobile detection data analysis system shown in fig. 1 comprises a current vehicle running data acquisition module, wherein the current vehicle running data acquisition module is connected with a current data storage module, the current data storage module is connected with an automobile state processing module, the automobile state processing module is connected with an automobile running data storage module, the automobile running data storage module is connected with a big data module, the big data module is connected with a data fitting module, the data fitting module is connected with an offline calculation module, and the offline calculation module is connected with a client terminal.
Preferably, the automobile state processing module comprises a same-vehicle type and same-working-condition processing module and a same-working-condition processing module of different vehicle types.
Preferably, the big data module comprises the data volume of driving today, the number of users driving at high speed, the average oil consumption of hundreds of kilometers, the average daily driving mileage, the average daily oil consumption, a traffic jam user, a night vehicle user, a city user and a two-point one-line user.
Preferably, the off-line calculation comprises report analysis and big data mining, the client terminal is a computer background and a mobile phone, and the mobile phone is provided with a suitable APP.
Preferably, the data fitting module comprises a real-time data fitting module and a historical data fitting module, the real-time data fitting module is used for fitting data under the current working condition in real time, and the historical data fitting module is used for fitting historical data under the same working condition of the vehicle.
Preferably, the automobile detection data analysis system further comprises a vehicle fault data acquisition module, and the vehicle fault data acquisition module is connected with the offline calculation module and used for verifying the calculation result.
The process flow and the working principle of the invention are as follows: the current vehicle data acquisition module that traveles gathers the road conditions of vehicle then, and each module behavior of vehicle, must with data storage to current data storage module in, current data storage module sends data to car state processing module again, be used for confirming whether each module behavior is normal under the current situation, in storing car state processing module's analysis result to car driving data storage module, compare with the massive data of big data module again, find out the great numerical value of deviation data, and will this group of data through connect data fitting module to fit, the probability that each part breaks down is estimated to rethread off-line calculation module, the verification of the similar situation of gathering through vehicle trouble data acquisition module at last, generate the form and send to client terminal.
Finally, it should be noted that: although the present invention has been described in detail with reference to the foregoing embodiments, it will be apparent to those skilled in the art that modifications may be made to the embodiments or portions thereof without departing from the spirit and scope of the invention.
Claims (6)
1. The utility model provides an automobile inspection data analysis system, includes current vehicle data acquisition module that traveles, its characterized in that: the current vehicle driving data acquisition module is connected with the current data storage module, the current data storage module is connected with the vehicle state processing module, the vehicle state processing module is connected with the vehicle driving data storage module, the vehicle driving data storage module is connected with the big data module, the big data module is connected with the data fitting module, the data fitting module is connected with the off-line calculation module, and the off-line calculation module is connected with the client terminal.
2. The vehicle inspection data analysis system of claim 1, wherein: the automobile state processing module comprises a same-vehicle type and same-working-condition processing module and a same-working-condition processing module of different vehicle types.
3. The vehicle inspection data analysis system of claim 1, wherein: the big data module comprises the data volume of driving today, the number of users driving at high speed, the average oil consumption of hundreds of kilometers, the daily average driving mileage, the daily average oil consumption, a traffic jam user, a night vehicle user, a city user and a two-point one-line user.
4. The vehicle inspection data analysis system of claim 1, wherein: the off-line calculation comprises report analysis and big data mining, the client terminal is a computer background and a mobile phone, and the mobile phone is provided with a corresponding APP.
5. The vehicle inspection data analysis system of claim 1, wherein: the data fitting module comprises a real-time data fitting module and a historical data fitting module, the real-time data fitting module is used for fitting data under the current working condition in real time, and the historical data fitting module is used for fitting historical data under the same working condition of the vehicle.
6. The vehicle inspection data analysis system of claim 1, wherein: the automobile detection data analysis system further comprises a vehicle fault data acquisition module, and the vehicle fault data acquisition module is connected with the offline calculation module and used for verifying the calculation result.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010031030.4A CN111210543A (en) | 2020-01-13 | 2020-01-13 | Automobile detection data analysis system |
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| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010031030.4A CN111210543A (en) | 2020-01-13 | 2020-01-13 | Automobile detection data analysis system |
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| CN111210543A true CN111210543A (en) | 2020-05-29 |
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| CN202010031030.4A Pending CN111210543A (en) | 2020-01-13 | 2020-01-13 | Automobile detection data analysis system |
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Citations (8)
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| CN108415409A (en) * | 2018-03-19 | 2018-08-17 | 黄河水利职业技术学院 | A kind of multistage vehicle fault diagnosis system and diagnostic method |
| CN109766369A (en) * | 2018-12-07 | 2019-05-17 | 黑匣子(杭州)车联网科技有限公司 | A kind of car networking big data analysis system |
| CN209199173U (en) * | 2018-11-28 | 2019-08-02 | 珠海广通汽车有限公司 | A kind of travelling data analysis system of electric car |
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2020
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Patent Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104142672A (en) * | 2013-05-08 | 2014-11-12 | 龚轶 | Vehicle data analysis system |
| CN103455026A (en) * | 2013-08-23 | 2013-12-18 | 王绍兰 | Method and device for diagnosis and early warning of vehicle faults |
| CN104850114A (en) * | 2014-12-19 | 2015-08-19 | 北汽福田汽车股份有限公司 | Vehicle failure analyzing method and system |
| CN106647724A (en) * | 2017-02-15 | 2017-05-10 | 北京航空航天大学 | T-BOX information security detection and protection method based on vehicle anomaly data monitoring |
| CN107124511A (en) * | 2017-04-27 | 2017-09-01 | 深圳市赛梅斯凯科技有限公司 | A kind of vehicle intelligent interconnecting terminal of android system |
| CN108415409A (en) * | 2018-03-19 | 2018-08-17 | 黄河水利职业技术学院 | A kind of multistage vehicle fault diagnosis system and diagnostic method |
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Application publication date: 20200529 |
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