CN106644497B - Method for detecting vehicle based on built-in sensor of smart phone - Google Patents
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- CN106644497B CN106644497B CN201510732842.0A CN201510732842A CN106644497B CN 106644497 B CN106644497 B CN 106644497B CN 201510732842 A CN201510732842 A CN 201510732842A CN 106644497 B CN106644497 B CN 106644497B
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- 238000012360 testing method Methods 0.000 claims abstract description 76
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- 230000001133 acceleration Effects 0.000 claims description 4
- 230000001105 regulatory effect Effects 0.000 claims 2
- 238000001514 detection method Methods 0.000 description 8
- 238000003745 diagnosis Methods 0.000 description 5
- 238000012423 maintenance Methods 0.000 description 5
- 238000006073 displacement reaction Methods 0.000 description 3
- 230000009191 jumping Effects 0.000 description 3
- 238000005259 measurement Methods 0.000 description 3
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Abstract
The invention relates to a method for detecting a vehicle based on a built-in sensor of a smart phone, which calls the built-in sensor of the smart phone to detect the vehicle by downloading an APP (application), and is characterized by comprising the following steps of: step 1, downloading APP, binding a vehicle type step 2, inputting a driving mileage step 3, calling a built-in sensor of a mobile phone step 4, testing and storing a test result at a specified position and a specified rotating speed in an engine compartment step 5, testing and storing a test result at a specified position and a specified rotating speed in a cab step 6, testing and storing a test result at a specified position and a specified vehicle speed in a driving process step 7, uploading the test result to a cloud server step 8, comparing with a mileage database similar to the vehicle type step 9, and comparing with different mileage data of the vehicle type step 10 to judge whether a feedback vehicle has a fault or not.
Description
Technical Field
The invention belongs to the field of automobile detection, and particularly relates to a method for detecting a vehicle based on a built-in sensor of a smart phone.
Background
The automobile maintenance and repair are daily matters faced by an automobile owner, the automobile owner needs to master the vehicle condition, the conventional detection method which is provided for the automobile owner by the market and is convenient and simple is not many, the conventional smart phone has more and more powerful functions, a plurality of sensor cameras, a gravity sensor, an acceleration sensor, a light sensor and a microphone are arranged in the smart phone, the operation speed and the network speed of the smart phone are accelerated, and the smart phone is applied to realize a plurality of functions.
Although the current market has a detection method connected with an OBD diagnosis interface through a mobile phone, the OBD diagnosis interface is suitable for a maintenance technician to detect an electronic control system and an exhaust system, and the OBD diagnosis interface has a plurality of defects which are not suitable for the owner of the automobile, and firstly, an additional hardware OBD diagnosis connector needs to be installed on the automobile. Secondly, the fault diagnosis of the electronic emission system can be realized, a plurality of faults caused by mechanical abnormal sound cannot be judged, the three-vehicle fault indicating lamp is lightened to play a role in prompting a vehicle owner, and fourthly, data provided by the OBD is difficult to understand for the vehicle owner providing professional maintenance personnel.
Therefore, it is necessary to invent a method that does not require hardware installation, is easy for the owner to operate, and can detect the vehicle and judge whether the vehicle has a fault or not at any time and any place.
Disclosure of Invention
The invention aims to solve the problems, and provides a method for detecting a vehicle based on a built-in sensor of a smart phone, which comprises the steps that a vehicle owner calls the built-in sensor of the smart phone by downloading an APP (application), the DB decibel data and the vibration frequency of the abnormal sound intensity of the vehicle are detected in an engine compartment and a cab at a medium speed and a high speed when an engine is in an idle speed and in the running process of the engine, the abnormal sound data are uploaded and linked to access a cloud server, the result is compared with a server database to obtain a conclusion, and the detection result is fed back to a client, so that the vehicle owner can master the running health condition of the vehicle at any time, the detection result is stored in the cloud server, the shared analysis detection result can be forwarded,
in order to achieve the purpose, the invention adopts the following technical scheme: the method is characterized by comprising the following steps:
Step 2, inputting the driving mileage
Step 3, calling a built-in sensor of the mobile phone
Step 6, testing the specified position and the specified speed in the driving process in the cab and storing the test result
Step 7, uploading the test result to the cloud server
Step 8, comparing the similar mileage database of the same vehicle type
Step 9, comparing the data of different mileage of the vehicle model
The APP of the step 1 is a vehicle test program needing to be downloaded by a vehicle owner, and comprises the steps of binding vehicle types, inputting driving mileage, calling a built-in sensor of a mobile phone, storing a test result, uploading the test result, calling a database to analyze and compare the test result to obtain feedback information and the like
The step 1 of binding the vehicle type is to input the information related to the vehicle type
The step 2 of inputting the driving mileage refers to a process of inputting and uploading mileage to the cloud server according to the mileage displayed by the odometer on the current vehicle instrument board
The built-in sensor of the mobile phone in the step 3 is a microphone and an acceleration sensor, the sensor is called to test the abnormal sound intensity dB, the vibration frequency and the amplitude,
Step 6, the test of the specified position and the specified speed in the driving process in the cab refers to the test of the specified speed and the test of the abnormal sound intensity dB, the vibration frequency and the amplitude value at the low speed, the medium speed and the high speed of the vehicle at the specified position in the cab in the driving process of the vehicle
And 7, uploading the test result to a cloud server through a mobile network of the mobile phone and storing the test result in the cloud server, wherein the test result comprises abnormal sound intensity dB, vibration frequency and amplitude, and a chart changing along with time. The uploading cloud server is connected with the cloud server through the mobile network of the mobile phone and transmits the test result,
the same vehicle type in step 8 refers to the vehicle type with the same engine and the same displacement and the same brand and model, and the similar mileage is the vehicle type which can be specified in a certain mileage numerical range
The data of different mileage of the vehicle type in step 9 is that the data uploaded by the vehicle owner in the first time in a non-failure state of the vehicle is the basic data, the data uploaded each time is compared with the basic data, after the data are uploaded for a plurality of times, the data which are synthesized for a plurality of times are taken as the basic data of the next time,
and (10) feeding back whether the vehicle has a potential fault hazard, analyzing and judging whether the vehicle has the potential fault hazard by integrating data comparison results of the step 8 and the step 9, if the vehicle is normal, judging whether the vehicle has the potential fault hazard, if the vehicle is normal, judging whether the mileage abnormal noise intensity dB is close to that of the vehicle type in the step 8, the vibration frequency and amplitude have no abnormal fluctuation and jumping data, and if the vibration frequency and amplitude have no abnormal fluctuation and jumping data, if the fluctuation is too large, the performance of the vehicle is reduced, and if the jumping data has the abnormal fluctuation, the component of the vehicle is in a poor working state, further maintenance is needed, and the judgment result is pushed to a mobile phone owner.
The invention has the beneficial effects that: the built-in sensor of the mobile phone is utilized, the vehicle can be detected anytime and anywhere, hidden dangers of the vehicle can be found in time, safe operation of the vehicle is guaranteed, detected data can be uploaded at any time and kept in a server database as basic data, the hidden dangers of the same type of vehicle can be analyzed, an analysis result can be fed back to a vehicle owner in time, and the vehicle owner can be reminded to maintain the vehicle in time.
For a better understanding of the features and technical content of the present invention, reference should be made to the following detailed description of the invention and accompanying drawings, which are provided for purposes of illustration and description only and are not intended to limit the invention.
Drawings
The objects, features and advantages of the present invention will be further explained with reference to the detailed description of the embodiments and with reference to the accompanying drawings.
In the drawings:
FIG. 1 is a flow chart of the method of operation of the present invention
FIG. 2 is a flow chart of an embodiment of the present invention
FIG. 3 is an idle speed map
FIG. 4 is an actual graph of engine speed 2000
FIG. 5 is an illustration of an engine speed 3000 in actual view
FIG. 6 idle speed measurement abnormality map
Fig. 7 is a histogram of idle speed measurements.
Detailed Description
To further illustrate the technical means adopted by the present invention and the advantages thereof, the following detailed description is made with reference to the accompanying drawings and the embodiments of the present invention.
As shown in fig. 1, which is a flow chart of the working method of the present invention, the method includes the following steps:
Step 2, inputting the driving mileage
Step 3, calling a built-in sensor of the mobile phone
Step 6, testing the specified position and the specified speed in the driving process in the cab and storing the test result
Step 7, uploading the test result to the cloud server
Step 8, comparing the similar mileage database of the same vehicle type
Step 9, comparing the data of different mileage of the vehicle model
FIG. 2 is a flow chart for implementing the present invention: executing step 1 before starting the test to download APP and bind the vehicle type, if the vehicle type is not bound, carrying out the next operation after the vehicle type is bound, wherein the vehicle type information must include vehicle brand, vehicle type, annual payment and displacement vehicle information, but is not limited to the vehicle information
After the vehicle type is bound, step 2 is executed to input the driving mileage of the vehicle, the driving mileage is data displayed according to an odometer on a vehicle instrument,
and (4) entering a test program after determining the bound vehicle type and the input mileage, executing step 3, calling a built-in sensor of the mobile phone, starting the test, wherein the built-in sensor of the mobile phone comprises a microphone and an acceleration sensor, starting the test, and executing step 4, step 5 and step 6. And 4, step 5 and step 6 can be performed in no sequence during testing. Step 4, step 5 and step 6 can also be executed independently.
The step 4 is executed, the engine compartment is the one that needs to be opened, and the mobile phone is placed at a designated position of the engine compartment, where the designated position in this embodiment is directly above the engine, and other positions, such as directly in front of the engine, may also be designated to detect the overall performance of the engine, and may also be designated to detect whether the component has a fault or not, such as directly above a water pump at the designated position, and may detect the working state of the water pump. The engine speed defined in the present embodiment is an idling speed, and may be defined as another speed, but it is necessary to define a single speed. The operation of step 4 is to place the mobile phone right above the engine, and the engine is tested when idling.
The test in the cab comprises a test for changing the speed of the automobile during running and a test for changing the idle speed of the engine during standing
Testing the rotating speed of the engine when the automobile is tested to be static in the cab, and executing the step 5: the designated position in the cab and the specified rotating speed are tested and the test result is stored, namely the mobile phone is placed at the designated position by a driver sitting in the cab, the engine is started, the vehicle is not started at rest and the rotating speed of the engine is controlled by the accelerator at any time, the designated position in the embodiment is the middle position of the steering wheel, the specified rotating speed in the embodiment is the idle speed of the engine, the intermediate speed of the engine and the high speed of the engine, the intermediate speed of the engine is specified to be 2000 rpm, the high speed of the engine is specified to be 3000 rpm,
fig. 3, 4, and 5 show the results of the step 5 performed by the voyama 1.8T engine running 12 kilometers in 2007
FIG. 3 is an idle map: starting the engine, starting the test after the idle speed has stabilized
FIG. 4 is an actual map of engine speed 2000: the accelerator is stepped down to control the engine speed at 2000 rpm, and the test is started
FIG. 5 is an actual map of engine speed 3000: the accelerator is stepped down to control the rotating speed of the engine at 3000 r/min, and the test is started
In the figure, min is the minimum amplitude, max is the maximum amplitude, avg is the average value, and the dBSPL abnormal sound intensity value seconds is the coordinate axis unit: and second.
And (3) testing the change of the running speed of the automobile in the cab, and executing the step 6: the test method comprises the steps of specifying positions and specified vehicle speeds in a driving process in a cab, testing and storing test results, keeping the vehicle running at a certain vehicle speed after starting an engine and starting the vehicle, wherein the specified positions of a driver and a passenger car are arranged at a middle storage box in the embodiment, and the specified vehicle speeds in the embodiment refer to low vehicle speed test, middle vehicle speed test, high vehicle speed test, low vehicle speed specification of 20 kilometers per hour, medium vehicle speed test of 60 kilometers per hour and high vehicle speed test of 120 kilometers per hour.
Recording the abnormal sound intensity dB, the vibration frequency and the amplitude of the test process in the step 4, the step 5 and the step 6, executing the step 7, uploading the test result to a cloud server, wherein the test result in the step 7 comprises the abnormal sound intensity dB, the vibration frequency and the amplitude, and a chart changing along with time, the chart can also be displayed as a columnar chart, and the uploading the test result to the cloud server is realized by uploading and storing the test result to the cloud server through a mobile network of the mobile phone. As shown in fig. 7: histogram of idle speed measurements for step 5
After the cloud server obtains the detection result and the detection data uploaded in the step 7, the cloud server executes a step 8: comparing the similar mileage database of the same vehicle type, and step 9: the data of different mileage of the vehicle type are compared, the same vehicle type in step 8 refers to the vehicle type of the same brand and the same model and the vehicle type of the same engine and the same displacement, the similar mileage number refers to the mileage number of plus and minus 10000 kilometers in the embodiment, and if the mileage number of the vehicle in the test is 12 kilometers, the database is used for analyzing and comparing the test data of the vehicle with the mileage number of 11 kilometers to 13 kilometers. The data of different mileage of the vehicle type in the step 9 is data uploaded each time by using data uploaded by the vehicle owner for the first time as basic data, the analysis and judgment are more accurate along with the improvement of the data of the vehicle type, and meanwhile, the data obtained in the step 8 is combined to reasonably judge the vehicle state
Fig. 6 shows another test data of 11 kilometers of the popular maiteng 1.8T engine in 2007: the idle speed of the vehicle regularly fluctuates abnormally, which indicates that the vehicle has hidden trouble and needs to be overhauled immediately
After the analysis and comparison of the test data in the steps 8 and 9, the step 10 is executed to judge whether the feedback vehicle has a fault hidden trouble, and the judgment result is fed back to the vehicle owner,
in summary, the invention provides a method for detecting a vehicle based on a built-in sensor of a smart phone, which comprises the steps of calling the built-in sensor of the smart phone, measuring DB decibel data of abnormal sound intensity and vibration frequency of the vehicle in an engine compartment and a cab and in the running process of an engine, uploading the data, storing the data in a cloud server, comparing the data with the data detected by analysis, judging whether the vehicle has a hidden trouble or not, and scientifically mastering the maintenance time in time,
the above description is only a preferred embodiment of the present invention, and does not represent the merits of the embodiment, and is not intended to limit the scope of the present invention. It will be understood by those skilled in the art that all or part of the steps of the above embodiments may be implemented by software programming, and any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention are included in the protection scope of the present invention.
Claims (2)
1. A method for detecting a vehicle based on a built-in sensor of a smart phone is characterized by comprising the following steps:
step 1, downloading APP and binding vehicle types;
step 2, inputting the driving mileage;
step 3, calling a built-in sensor of the mobile phone;
step 4, in the engine compartment, the position is designated and the rotating speed is regulated for testing, and the test result is stored;
step 5, in the cab, appointing a position and regulating the rotating speed to test, and storing a test result;
step 6, in the cab, specifying a position and a vehicle speed in the driving process to test, and storing a test result;
step 7, uploading the test result to a cloud server;
step 8, comparing the similar mileage databases of the same vehicle type;
step 9, comparing the data of different mileage of the vehicle model;
step 10, judging whether the feedback vehicle has a fault hidden danger or not;
the built-in sensors of the mobile phone in the step 3 refer to a microphone and an acceleration sensor, and the sensors are called to test the abnormal sound intensity value dB, the vibration frequency and the amplitude.
The test result in step 7 includes abnormal sound intensity dB and vibration frequency and amplitude, and a time-varying chart.
2. The method for detecting the vehicle based on the built-in sensor of the smart phone according to claim 1, wherein the method comprises the following steps: and uploading the test result to a cloud server through a mobile network of the mobile phone.
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| CN201510732842.0A CN106644497B (en) | 2015-11-02 | 2015-11-02 | Method for detecting vehicle based on built-in sensor of smart phone |
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| CN106644497B true CN106644497B (en) | 2020-01-14 |
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| US20190311558A1 (en) * | 2018-04-10 | 2019-10-10 | GM Global Technology Operations LLC | Method and apparatus to isolate an on-vehicle fault |
| CN108844535B (en) * | 2018-06-26 | 2020-12-29 | 北京永安信通科技有限公司 | Method and device for determining motion state and method and equipment for determining positioning error |
| CN115524143B (en) * | 2022-10-21 | 2023-09-19 | 中国人民解放军陆军装甲兵学院 | Military vehicle health state analysis and management method |
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