CN110764972A - Method for removing embedded points of APP vehicle - Google Patents
Method for removing embedded points of APP vehicle Download PDFInfo
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- CN110764972A CN110764972A CN201911054993.XA CN201911054993A CN110764972A CN 110764972 A CN110764972 A CN 110764972A CN 201911054993 A CN201911054993 A CN 201911054993A CN 110764972 A CN110764972 A CN 110764972A
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- 238000000034 method Methods 0.000 title claims abstract description 22
- 230000000737 periodic effect Effects 0.000 claims description 5
- 238000013500 data storage Methods 0.000 claims description 4
- 230000008859 change Effects 0.000 abstract description 2
- 230000006399 behavior Effects 0.000 description 23
- 230000006855 networking Effects 0.000 description 4
- 238000005516 engineering process Methods 0.000 description 2
- 238000012544 monitoring process Methods 0.000 description 2
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F11/00—Error detection; Error correction; Monitoring
- G06F11/30—Monitoring
- G06F11/3089—Monitoring arrangements determined by the means or processing involved in sensing the monitored data, e.g. interfaces, connectors, sensors, probes, agents
- G06F11/3093—Configuration details thereof, e.g. installation, enabling, spatial arrangement of the probes
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F11/00—Error detection; Error correction; Monitoring
- G06F11/30—Monitoring
- G06F11/34—Recording or statistical evaluation of computer activity, e.g. of down time, of input/output operation ; Recording or statistical evaluation of user activity, e.g. usability assessment
- G06F11/3438—Recording or statistical evaluation of computer activity, e.g. of down time, of input/output operation ; Recording or statistical evaluation of user activity, e.g. usability assessment monitoring of user actions
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Abstract
The invention discloses an APP-removing vehicle-mounted point embedding method, which comprises the steps of setting a point embedding service SDK in an operating system of a vehicle-mounted system, externally exposing a data point embedding service interface through the point embedding service SDK, calling the data point embedding service interface after a vehicle-mounted application collects user behavior data, and uploading the data to the vehicle-mounted system. The method and the device can acquire specific operation behavior data of the user in the application without implanting a third-party SDK, and can uniformly upgrade and flexibly change a data uploading strategy.
Description
Technical Field
The invention belongs to the technical field of vehicle-mounted application page monitoring, and particularly relates to a method for removing embedded points of an APP vehicle.
Background
With the updating iteration of the communication technology and the continuous development of the car networking technology, more and more car owners of intelligent networking cars purchasing the car networking service are provided. The car owner generates a large amount of user behavior data in the daily car using process. In order to better serve the owner of the vehicle and know the behavior habits of the user, it is particularly necessary to collect the behavior data of the user by monitoring the operation behavior of the user in the application.
The current common method is to collect user behavior data by a third-party SDK (software development kit) and by a method of embedded point type or non-embedded point type, and the following problems inevitably occur in such a processing method:
1) requiring the implantation of SDK in every application is cumbersome and risks data leakage.
2) Once the SDK needs to be upgraded, each application needs to be upgraded, which results in a large upgrade cost.
3) The data uploading strategy is relatively single, and data is uploaded usually once every 5 s.
Therefore, it is necessary to develop a new method for removing embedded points of the APP vehicle.
Disclosure of Invention
The invention aims to provide a method for removing embedded points of an APP vehicle, which can collect specific operation behavior data of a user in an application without implanting a third-party SDK, and can uniformly upgrade and flexibly change a data uploading strategy.
The method for removing the embedded point of the APP vehicle machine comprises the steps of setting an embedded point service SDK in an operating system of a vehicle machine system, exposing a data embedded point service interface to the outside through the embedded point service SDK, calling the data embedded point service interface after the vehicle-mounted application collects user behavior data, and uploading the data to the vehicle machine system.
Further, the vehicle-mounted application monitors the operation behavior of the user, acquires behavior data of the user, assembles the behavior data of the user into a JSON format, calls a data embedding point service interface, and uploads the behavior data of the user to the vehicle-mounted system.
Further, when the vehicle-mounted machine system judges that the basic service is activated, the vehicle-mounted machine system acquires an uploading strategy from the cloud platform;
the vehicle-mounted application system receives data uploaded by the vehicle-mounted application, judges an uploading mode according to the data type, immediately uploads the data to the cloud platform if the uploading mode is immediate uploading, stores the data into a local storage queue if the uploading mode is periodic uploading, and uploads the data by adopting an FIFO principle and an obtained uploading strategy.
Further, when the vehicle-mounted machine system judges that the basic service is activated, the vehicle-mounted machine system also acquires a retry strategy from the cloud platform;
and if the data uploading fails, re-uploading according to the obtained retry strategy.
Further, when the vehicle-mounted device system judges that the basic service is activated, the vehicle-mounted device system also acquires parameter configuration from the cloud platform, wherein the parameter configuration comprises the specified number of data pieces and the specified file size;
and when the locally stored data reaches the specified number of data pieces or the specified file size, deleting the earlier data in the local storage space.
Further, if the data uploading fails, an error code returned by the cloud platform is acquired.
Further, if the data upload is successful, the data is deleted from the local storage.
Further, after the cloud platform receives the data uploaded by the vehicle-mounted machine system, the data are split according to the vehicle-mounted application, the data storage service is called, and the data are stored in different HBases.
The invention has the following advantages: the method can realize that the specific operation behavior data of the user in the application is acquired without implanting a third-party SDK; meanwhile, the uploading strategy of the data can be uniformly upgraded and flexibly changed.
Drawings
FIG. 1 is a flow chart of the present invention.
FIG. 2 is a screenshot of data upload in the present invention;
FIG. 3 is a schematic of the data storage of the present invention.
Detailed Description
The invention will be further explained with reference to the drawings.
As shown in fig. 1, a method for removing APP vehicle-mounted devices sets a site-embedded service SDK in an operating system of a vehicle-mounted device system, exposes a data site-embedded service interface to the outside through the site-embedded service SDK, and calls the data site-embedded service interface to upload data to the vehicle-mounted device system after a vehicle-mounted application collects user behavior data.
In this embodiment, the vehicle-mounted application monitors operation behaviors of the user, acquires behavior data of the user, assembles the behavior data of the user into a JSON format, calls a data embedding point service interface, and uploads the behavior data of the user to the vehicle-mounted machine system. And the vehicle-mounted machine system reassembles the data according to the different vehicle-mounted applications.
In this embodiment, when the in-vehicle system determines that the basic service is activated, the in-vehicle system acquires an upload policy from the cloud platform;
the vehicle-mounted application system receives data uploaded by the vehicle-mounted application, judges an uploading mode according to the data type, immediately uploads the data to the cloud platform if the uploading mode is immediate uploading, stores the data into a local storage queue if the uploading mode is periodic uploading, and uploads the data by adopting an FIFO principle (first-in first-out queue) and an obtained uploading strategy. The uploading strategy comprises that the uploading is carried out once every few pieces of data and every few seconds.
In this embodiment, when the in-vehicle system determines that the basic service is activated, the in-vehicle system further obtains a retry strategy from the cloud platform;
and if the data uploading fails, re-uploading according to the obtained retry strategy.
In this embodiment, when the in-vehicle system determines that the basic service is activated, the in-vehicle system further obtains parameter configuration including a specified number of data pieces and a specified file size from the cloud platform;
and when the locally stored data reaches the specified number of data pieces or the specified file size, deleting the earlier data in the local storage space.
In this embodiment, if the data upload fails, an error code returned by the cloud platform is acquired. Such as: the error code is-3, which indicates a data format error and deletes the data locally.
In this embodiment, if the data upload is successful, the data is deleted from the local storage.
In this embodiment, after the cloud platform receives data uploaded by the in-vehicle system, the data is split according to the in-vehicle application, a data storage service is called, and the data is stored in different hbases (distributed column-oriented open source databases).
In this embodiment, the vehicle-mounted application, the vehicle-mounted system and the cloud platform cooperate with each other.
Vehicle-mounted application
And each vehicle-mounted application acquires user behavior data in a corresponding place according to requirements in a code writing mode or an aspect code invasion-free mode, assembles the user behavior data into a JSON format, calls a data embedded point service interface, uploads the corresponding user behavior data to the vehicle-mounted machine system, and marks that the data is periodically uploaded/immediately uploaded.
1. Acquiring a Manager example:
PersonlCenterManager manager = PersonlCenterManager.getInstance();
2. and organizing the buried point data into a JSON format, such as:
{
"dt": "musci",
"eid": "0101",
"ts": 1555645769,
"dtn": "qq",
"vn": "v1.0",
"dvn": "1.0.2",
"nm": the name of music,
"id" music id ",
"type": "immed/period",
… …// all data items corresponding to the current event (0101)
}
3. And calling a data buried point service interface, and uploading the data to the vehicle-mounted machine system.
Uploaddata ("application type", "json format of buried data");
vehicle machine system
1. After the vehicle machine system is powered on and networking is successful, connection with the cloud platform is established.
2. And calling a basic service checking interface, and judging whether the basic service is activated or not, wherein if the basic service is not activated, the related functions of the Internet of vehicles are unavailable.
3. Invoking user behavior data upload configuration: { server domain }/api/hu/getUploadSetting, the interface returns configuration information in xml or json format, the configuration includes uploading/retrying strategies such as uploading local data of the vehicle machine once every few pieces, uploading period, retrying interval, maximum retrying times, local maximum storage number, local maximum storage file size and the like, and flexible configuration of the strategies is realized.
4. And after receiving the user behavior data uploaded by each vehicle-mounted application, the vehicle-mounted system judges that the uploading is periodic uploading/immediate uploading, and if the uploading is immediate, an uploading interface is immediately called to upload the data to the cloud platform. And if the period uploading is periodic, uploading according to the acquired uploading strategy. If the uploading fails, the uploading is carried out again according to the retry interval and the maximum retry number. An example of data upload is shown in figure 2.
5. And after the uploading is successful, deleting the data from the vehicle machine locally. Due to network or other abnormal reasons, data cannot be uploaded successfully all the time, and earlier data is deleted when the number of the storage pieces reaches the maximum or the size of the stored file reaches the maximum.
Three, cloud platform
After receiving the user behavior data uploaded by the vehicle machine system, the cloud platform splits the data according to the application. And calling a storage service, and storing the data in different HBase tables according to the application for subsequent query analysis. The storage manner is referred to fig. 3.
Claims (8)
1. The utility model provides a remove APP car machine and bury some method which characterized in that: the method comprises the steps that a point burying service SDK is arranged in an operating system of a vehicle-mounted system, a data point burying service interface is exposed to the outside through the point burying service SDK, and when user behavior data are collected by vehicle-mounted application, the data point burying service interface is called to upload the data to the vehicle-mounted system.
2. The APP-removing vehicle machine embedded point method according to claim 1, characterized in that: the vehicle-mounted application monitors the operation behavior of the user, acquires the behavior data of the user, assembles the behavior data of the user into a JSON format, calls a data embedded point service interface and uploads the behavior data of the user to the vehicle-mounted system.
3. The APP-removing vehicle machine embedded point method according to claim 1, characterized in that: when the vehicle-mounted machine system judges that the basic service is activated, the vehicle-mounted machine system acquires an uploading strategy from the cloud platform;
the vehicle-mounted application system receives data uploaded by the vehicle-mounted application, judges an uploading mode according to the data type, immediately uploads the data to the cloud platform if the uploading mode is immediate uploading, stores the data into a local storage queue if the uploading mode is periodic uploading, and uploads the data by adopting an FIFO principle and an obtained uploading strategy.
4. The APP-removing vehicle machine embedded point method according to claim 3, characterized in that: when the vehicle-mounted machine system judges that the basic service is activated, the vehicle-mounted machine system also acquires a retry strategy from the cloud platform;
and if the data uploading fails, re-uploading according to the obtained retry strategy.
5. The APP-removing vehicle machine embedded point method according to claim 4, characterized in that: when the vehicle-mounted machine system judges that the basic service is activated, the vehicle-mounted machine system also acquires parameter configuration from the cloud platform, wherein the parameter configuration comprises the specified number of data pieces and the specified file size;
and when the locally stored data reaches the specified number of data pieces or the specified file size, deleting the earlier data in the local storage space.
6. The APP-removing vehicle machine embedded point method according to claim 3, characterized in that: and if the data uploading fails, acquiring an error code returned by the cloud platform.
7. The APP-removing vehicle machine embedded point method according to claim 3, characterized in that: and if the data uploading is successful, deleting the data from the local storage.
8. The APP vehicle machine embedded point removing method according to any one of claims 1 to 7, characterized in that: after the cloud platform receives the data uploaded by the vehicle-mounted machine system, the data are split according to the vehicle-mounted application, the data storage service is called, and the data are stored in different HBases.
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| CN201911054993.XA CN110764972A (en) | 2019-10-31 | 2019-10-31 | Method for removing embedded points of APP vehicle |
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| CN201911054993.XA CN110764972A (en) | 2019-10-31 | 2019-10-31 | Method for removing embedded points of APP vehicle |
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Cited By (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111782467A (en) * | 2020-06-28 | 2020-10-16 | 厦门美柚股份有限公司 | Method, device and medium for collecting and reporting buried point data |
| CN111866071A (en) * | 2020-06-08 | 2020-10-30 | 北京百度网讯科技有限公司 | Data uploading method and device of business application, electronic equipment and storage medium |
| CN112114783A (en) * | 2020-09-18 | 2020-12-22 | 北京百度网讯科技有限公司 | Information acquisition method and device |
| CN113079054A (en) * | 2021-06-07 | 2021-07-06 | 智道网联科技(北京)有限公司 | Monitoring method, device and system of vehicle-mounted terminal |
| CN113472858A (en) * | 2021-06-10 | 2021-10-01 | 北京达佳互联信息技术有限公司 | Buried point data processing method and device and electronic equipment |
| WO2021217630A1 (en) * | 2020-04-30 | 2021-11-04 | 上海华东汽车信息技术有限公司 | Vehicle data uploading method and apparatus, computer device, and storage medium |
| CN114661607A (en) * | 2022-03-31 | 2022-06-24 | 芜湖雄狮汽车科技有限公司 | Point burying method and device applied to vehicle-mounted machine system, vehicle and storage medium |
| CN115361418A (en) * | 2022-08-18 | 2022-11-18 | 中国第一汽车股份有限公司 | Vehicle-mounted distributed dynamic data embedded point acquisition method, vehicle and cloud server |
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Cited By (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2021217630A1 (en) * | 2020-04-30 | 2021-11-04 | 上海华东汽车信息技术有限公司 | Vehicle data uploading method and apparatus, computer device, and storage medium |
| CN111866071A (en) * | 2020-06-08 | 2020-10-30 | 北京百度网讯科技有限公司 | Data uploading method and device of business application, electronic equipment and storage medium |
| CN111782467A (en) * | 2020-06-28 | 2020-10-16 | 厦门美柚股份有限公司 | Method, device and medium for collecting and reporting buried point data |
| CN112114783A (en) * | 2020-09-18 | 2020-12-22 | 北京百度网讯科技有限公司 | Information acquisition method and device |
| CN113079054A (en) * | 2021-06-07 | 2021-07-06 | 智道网联科技(北京)有限公司 | Monitoring method, device and system of vehicle-mounted terminal |
| CN113472858A (en) * | 2021-06-10 | 2021-10-01 | 北京达佳互联信息技术有限公司 | Buried point data processing method and device and electronic equipment |
| CN113472858B (en) * | 2021-06-10 | 2023-09-29 | 北京达佳互联信息技术有限公司 | Buried point data processing method and device and electronic equipment |
| CN114661607A (en) * | 2022-03-31 | 2022-06-24 | 芜湖雄狮汽车科技有限公司 | Point burying method and device applied to vehicle-mounted machine system, vehicle and storage medium |
| CN115361418A (en) * | 2022-08-18 | 2022-11-18 | 中国第一汽车股份有限公司 | Vehicle-mounted distributed dynamic data embedded point acquisition method, vehicle and cloud server |
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Application publication date: 20200207 |