CN105376335A

CN105376335A - Method and device for collection data uploading

Info

Publication number: CN105376335A
Application number: CN201510938737.2A
Authority: CN
Inventors: 李宠波; 王景正
Original assignee: Beijing Qihoo Technology Co Ltd; Qizhi Software Beijing Co Ltd
Current assignee: Beijing Qihoo Technology Co Ltd
Priority date: 2015-12-15
Filing date: 2015-12-15
Publication date: 2016-03-02
Anticipated expiration: 2035-12-15
Also published as: CN105376335B

Abstract

The invention discloses a method and a device for collection data uploading. The method comprises steps of calling a collection tool to collect parameter information of parameters in an application during the running of the application, wherein the collection parameters comprise static parameters and/or dynamic parameters, locally caching the parameter information of the collection parameters, and compressing the cached parameters and uploading the parameter information to the server when the uploading condition is satisfied in order to enable the server to perform data analysis on the parameter according to the parameter information. The invention reduces the workload of the service platform development staff, reduces the labor cost, has good expandability and can be used in various applications.

Description

A kind of image data method for uploading and device

Technical field

The present invention relates to communication technical field, particularly relate to a kind of image data method for uploading and a kind of image data uploads device.

Background technology

Along with the fast development of the communication technology, especially along with the popularization of mobile Internet, popularizing of intelligent terminal is more and more faster, and the function of intelligent terminal is also more and more abundanter.Wherein, intelligent terminal realizes its function by installing various application, provides diversified service.

In order to improve service quality, the developer of each service platform needs the data of the data acquisition plan acquisition applications arranged, to understand business demand.Wherein, the application data that different service needed gathers is different.Therefore, the developer of service platform needs the application data acquisition scheme different according to different business settings.

Concrete, the developer of service platform needs the business provided according to service platform, arranges the acquisition parameter of each application, carries out data acquisition, generate the bordereau of this service platform, to understand business demand according to the acquisition parameter arranged to each application.But the Application comparison be arranged on intelligent terminal is many, namely needs the application data of collection many, cause the data acquisition form of each service platform to be difficult to unified.Therefore, the developer of each service platform also needs the data acquisition form defining each application, makes each service platform can gather the data of each application according to the data acquisition form arranged, increases the workload of developer further.

Summary of the invention

In view of the above problems, propose the present invention to provide a kind of to overcome the problems referred to above or the image data method for uploading solved the problem at least in part and corresponding image data and upload device.

According to one aspect of the present invention, provide a kind of method that image data is uploaded, described method comprises: application run time call sampling instrument gathers the parameter information of each acquisition parameter in described application, and wherein, described acquisition parameter comprises static parameter and/or dynamic parameter; The parameter information of described each acquisition parameter is buffered in this locality; When meet upload condition time, be uploaded to server after being compressed by the parameter information of buffer memory, carry out data analysis to make described server according to described parameter information.

Alternatively, determine to upload interval according to current network type, according to described in upload interval judge whether meet upload condition.

Alternatively, when uploading interval described in current time reaches, confirming to meet and uploading condition; Described parameter information is carried out compressed encoding according to Predistribution Algorithm, generates supplemental characteristic bag; Described supplemental characteristic is wrapped and passes to server.

Alternatively, obtain the memory information of described application place mobile terminal, judge whether described memory information reaches collection threshold value; When described memory information reaches collection threshold value, perform the step according to the parameter information of each acquisition parameter in application described in acquisition configuration information gathering; When described memory information does not reach collection threshold value, the acquisition parameter gathering described static parameter is uploaded to described server, to terminate acquisition step.

Alternatively, detect described parameter information whether to exceed and upload threshold value; When described parameter information exceed upload threshold value time, described parameter information is divided at least two packets.

Alternatively, whether the parameter information detecting local cache exceedes cache threshold; If the parameter information of local cache exceedes cache threshold, then delete the preceding parameter information of cache-time, until the parameter information of buffer memory is no more than described cache threshold.

Alternatively, according to the priority of acquisition parameter each in described configuration information, determine the times of collection of the parameter information of described acquisition parameter and upload interval.

According to a further aspect in the invention, provide the device that a kind of image data is uploaded, described device comprises: acquisition module, the parameter information of each acquisition parameter in described application is gathered for applying run time call sampling instrument, wherein, described acquisition parameter comprises static parameter and/or dynamic parameter; Cache module, for being buffered in this locality by the parameter information of described each acquisition parameter; Upper transmission module, for when meet upload condition time, be uploaded to server after being compressed by the parameter information of buffer memory, carry out data analysis to make described server according to described parameter information.

Alternatively, upper transmission module, also for determining to upload interval according to current network type, according to described in upload interval judge whether meet upload condition.

Alternatively, confirm submodule, during for uploading interval described in reaching at current time, confirming to meet and uploading condition; Compression submodule, for described parameter information is carried out compressed encoding according to Predistribution Algorithm, generates supplemental characteristic bag; Packet uploads submodule, passes to server for being wrapped by described supplemental characteristic.

Alternatively, described upper transmission module, also for obtaining the memory information of described application place mobile terminal, judges whether described memory information reaches collection threshold value; When described memory information reaches collection threshold value, perform the step according to the parameter information of each acquisition parameter in application described in acquisition configuration information gathering; When described memory information does not reach collection threshold value, the acquisition parameter gathering described static parameter is uploaded to described server, to terminate to gather.

Whether alternatively, packet divides submodule, exceed upload threshold value for detecting described parameter information; When described parameter information exceed upload threshold value time, described parameter information is divided at least two packets.

Alternatively, cache module, whether the parameter information also for detecting local cache exceedes cache threshold; If the parameter information of local cache exceedes cache threshold, then delete the preceding parameter information of cache-time, until the parameter information of buffer memory is no more than described cache threshold.

Alternatively, acquisition module, also for the priority according to acquisition parameter each in described configuration information, determines the times of collection of the parameter information of described acquisition parameter and uploads interval.

Application according to the present invention run time call sampling instrument gathers the parameter information of each acquisition parameter in described application, and wherein, described acquisition parameter comprises static parameter and/or dynamic parameter; The parameter information of described each acquisition parameter is buffered in this locality; When meet upload condition time, be uploaded to server after being compressed by the parameter information of buffer memory, carry out data analysis to make described server according to described parameter information.The workload of the developer of each service platform can be reduced, solve the problem that the workload of the developer of each service platform is heavy thus, achieve and reduce employment cost, all can use in various applications, the good beneficial effect of extensibility.

Above-mentioned explanation is only the general introduction of technical solution of the present invention, in order to technological means of the present invention can be better understood, and can be implemented according to the content of specification, and can become apparent, below especially exemplified by the specific embodiment of the present invention to allow above and other objects of the present invention, feature and advantage.

Accompanying drawing explanation

By reading hereafter detailed description of the preferred embodiment, various other advantage and benefit will become cheer and bright for those of ordinary skill in the art.Accompanying drawing only for illustrating the object of preferred implementation, and does not think limitation of the present invention.And in whole accompanying drawing, represent identical parts by identical reference symbol.In the accompanying drawings:

Fig. 1 shows data acquisition and analysis system structured flowchart according to an embodiment of the invention;

Fig. 2 shows the flow chart of steps of image data method for uploading embodiment according to an embodiment of the invention;

Fig. 3 shows the flow chart of steps of image data method for uploading embodiment in accordance with another embodiment of the present invention;

Fig. 4 shows the structured flowchart that image data according to an embodiment of the invention uploads device embodiment;

Fig. 5 shows the structured flowchart that image data in accordance with another embodiment of the present invention uploads device embodiment;

Fig. 6 shows data acquisition and analysis system structured flowchart in accordance with another embodiment of the present invention.

Embodiment

Below with reference to accompanying drawings exemplary embodiment of the present disclosure is described in more detail.Although show exemplary embodiment of the present disclosure in accompanying drawing, however should be appreciated that can realize the disclosure in a variety of manners and not should limit by the embodiment set forth here.On the contrary, provide these embodiments to be in order to more thoroughly the disclosure can be understood, and complete for the scope of the present disclosure can be conveyed to those skilled in the art.

With reference to Fig. 1, show data acquisition and analysis system structured flowchart according to an embodiment of the invention.

This data acquisition and analysis system, comprising: gather Control Server 102, data analytics server 104, report generation server 106 and at least one data terminal 108, be provided with sampling instrument in described data terminal.

Described collection Control Server 102, be handed down to corresponding data terminal for configuring described acquisition configuration information to data terminal, wherein, described configuration information is for controlling the collection of acquisition parameter;

Described data terminal 108, for sampling instrument described in application run time call, gathers according to the parameter information of acquisition configuration information to acquisition parameter; And the parameter information of collection is uploaded to described data analytics server;

Described data analytics server 104, for analyzing the corresponding parameter information of each acquisition parameter uploaded, obtains data results; Described data results is sent to described report generation server;

Described report generation server 106, for generating data sheet according to described data results.

Thus by gathering the control of Control Server (abbreviation Cloud Server), the parameter information of each acquisition parameter is gathered in the data terminal that sampling instrument can be run in application, after being uploaded to data analytics server, data analysis is carried out according to statistical demand, thus generate the data sheet of corresponding service, know user's request, custom etc. by this data sheet, business is adjusted, more meet user's request.

The embodiment of the present invention discusses image data method for uploading in detail.

Embodiment one

With reference to Fig. 2, show the flow chart of steps of image data method for uploading embodiment according to an embodiment of the invention, specifically can comprise the steps:

Step 202, application run time call sampling instrument gathers the parameter information of each acquisition parameter in described application, and wherein, described acquisition parameter comprises static parameter and/or dynamic parameter.

The application of the embodiment of the present invention refers to the application program be arranged in terminal, as mobile phone assistant, browser, security guard, player etc.In order to ensure integrality and the accuracy of image data, can at application run time call sampling instrument.Sampling instrument comprises SDK (SDK, SoftwareDevelopmentKit).

For different application and application place terminal, Cloud Server can configure acquisition parameter and the acquisition configuration information of each application, generates the control information of sampling instrument.When apply place terminal call sampling instrument data acquisition is carried out to application time, sampling instrument can according to the parameter information of each acquisition parameter in application described in acquisition configuration information gathering.Wherein, described acquisition configuration information is for controlling the collection of described acquisition parameter and uploading.Described acquisition parameter comprises static parameter and/or dynamic parameter.This static parameter may be used for the parameter information of the static state gathered corresponding to this application; Dynamic parameter may be used for gathering dynamic parameter information when this application runs.

Step 204, is buffered in this locality by the parameter information of described each acquisition parameter.

After collecting parameter information, the parameter information collected can also be buffered in this locality.

Step 206, when meet upload condition time, be uploaded to server after being compressed by the parameter information of buffer memory, carry out data analysis to make described server according to described parameter information.

After sampling instrument gathers the parameter information of each acquisition parameter in described application, judge whether to meet and upload condition, if meet, sampling instrument compresses according to the parameter information of Predistribution Algorithm by buffer memory, is then uploaded to server.In the embodiment of the present invention, Cloud Server can connect each application place terminal by mode that is wireless or wired connection and issues configuration information, thus after sampling instrument collects the parameter information of each acquisition parameter, parameter information corresponding to acquisition parameter can be uploaded to data analytics server.Data analytics server can be analyzed parameter information according to preset algorithm, and report generation server Corpus--based Method result generates the business information required for each service platform, as generated bordereau, determining operational indicator etc.

In sum, by applying run time call sampling instrument; Sampling instrument gathers the parameter information of each acquisition parameter in described application; The parameter information of described each acquisition parameter is buffered in this locality; When meet upload condition time, be uploaded to server after being compressed by the parameter information of buffer memory, carry out data analysis to make described server according to described parameter information.Thus decrease the workload of the developer of each service platform, and then reduce employment cost, all can use in various applications, extensibility is better.

Embodiment two

With reference to Fig. 3, show the flow chart of steps of image data method for uploading embodiment in accordance with another embodiment of the present invention, specifically can comprise the steps:

Step 302, according to the priority of acquisition parameter each in described configuration information, determines the times of collection of the parameter information of described acquisition parameter and uploads interval.

Cloud Server by arranging the priority of each acquisition parameter, can also control the times of collection of the parameter information of acquisition parameter and uploading interval.Such as, with reference to table 1, when application or the priority applying place terminal determination acquisition parameter, just can according to times of collection corresponding to determined priority to the information of this acquisition parameter, and according to this priority corresponding upload the parameter information that this acquisition parameter is uploaded at interval, priority as acquisition parameter I is A level, then the times of collection of the parameter information of this acquisition parameter I is 1000 times, and upload and be spaced apart 20 minutes, namely every 20 minutes, the parameter information of this acquisition parameter I is just uploaded once.

The priority of acquisition parameter	The times of collection of parameter information	Parameter information upload interval
			A level	1000 times	20 minutes
B level	700 times	1 hour
			C level	300 times	3 hours
D level	10 times	12 hours
			F level	1 time	24 hours

Table 1

In embodiments of the present invention, can according to the characteristic of business demand or image data, pre-set the priority of acquisition parameter, and parameter information times of collection corresponding to each priority and upload interval, Cloud Server by adding in acquisition configuration information by the priority of acquisition parameter, can be controlled application or applies the priority of place terminal according to sampling parameter gather parameter information and upload.By the priority of acquisition parameter, the parameter information of each application acquisition parameter can be collected in time, and can in time the parameter information collected be uploaded.

Step 304, obtains the memory information of described application place mobile terminal, judges whether described memory information reaches collection threshold value.

If described application place mobile terminal is sampling terminal, in embodiments of the present invention, consider that dissimilar terminal configuration is different, some tag memory is comparatively greatly as internal memory reaches 2G, and some tag memory is less, in order to reduce the impact of data acquisition on terminal, make terminal normally can run application, Cloud Server can gather threshold value according to the memory setting of application place terminal, and this collection threshold value added in acquisition configuration information, thus the acquisition parameter of collection can be controlled according to the memory information of terminal.

If when described memory information does not reach and gathers threshold value, perform step 306; When described memory information reaches collection threshold value, perform step 308.

Step 306, the parameter information gathering described static parameter is uploaded to described server, to terminate acquisition step.

If described application place mobile terminal is non-sampled terminal, in order to avoid sampling a large amount of terminal and cause the problem that Cloud Server data processing pressure is large, can not gather dynamic parameter, only the static parameter such as acquisition terminal mark is uploaded once.

Step 308, application run time call sampling instrument gathers the parameter information of each acquisition parameter in described application, and wherein, described acquisition parameter comprises static parameter and/or dynamic parameter.

Cloud Server based on the data gathered required for each service platform, can determine application to be collected.After determining application, Cloud Server can determine the static parameter of application to be collected according to application type.Application run time call sampling instrument, gathers the parameter information of the static parameter in described application.

Static parameter may be used for the static parameter information gathering this application correspondence, as the identification information of application place terminal, version information, channel information, network type and resolution information etc.Wherein, the identification information of terminal may be used for identifying application place terminal, as M2 value can be calculated based on information such as the hardware of terminal, this M2 value can pass through the calculating such as sequence number, type number, version information, this M2 value can either identify the hardware information that different terminals can not reveal again terminal, ensures the personal secrets of user; Version information may be used for the version recording this application correspondence, as the operating system version of terminal, and software version or SDK version etc.; Channel information may be used for the acquisition approach identifying this application; Network type is for determining the network type applying place terminal connection; Resolution information is for determining the display resolution of this application place terminal, and display resolution can be called screen resolution again.

Meanwhile, Cloud Server based on the data gathered required for each service platform, can determine application to be collected.After determining application, sampling instrument can determine the dynamic parameter of application to be collected according to application type.Application run time call sampling instrument, gathers the parameter information of the dynamic parameter in described application.

Dynamic parameter may be used for gathering this and is applied in the parameter information generated in running, as application interface log-on message, button click information, duration information, abnormal information and session information etc.

Wherein, the page before switching when application interface log-on message is for recording the changing interface of application and the interface after switching; Button click information is used for recording user and clicks the number of clicks that button is numbered and this button numbering is corresponding that in this application, each button is corresponding; Duration information according to start-up time point and shut-in time point determine, as applied running time, interface running time; Abnormal information applies the information of operation exception for recording, as time point or the number of times of application start failure; The message of conversation class of session information for recording this application and operationally producing.

In one preferred embodiment of the invention, according to described application operation Real-time Collection described in the parameter information of dynamic parameter comprise:

When the changing interface of described application being detected, the interface before record switches is page up, and the interface after record switches is current page, described page up and current page is added in application interface log-on message.Namely to user in application interface during Visitor Logs, continuous in order to what ensure to access, can while record current interface an access interface on record, thus each interface record is being current page+page up, if homepage certainly, then page up be sky.

When detecting that the button of described application is triggered, obtaining the button numbering that described button is corresponding, upgrading the number of clicks that described button numbering is corresponding, described button numbering and number of clicks are added in button click information.Can comprise many buttons in application, each button can be numbered to identify different buttons, thus record button is numbered and number of clicks when button is clicked, namely number of clicks is initially 0, often clicks and once namely adds one.

Application can be run by multi-process mode, when usual multi-process runs, application start adopts host process record point start-up time, adopt last process record end time point, but, may occur that host process does not start completely when the application start time is too short, apply buttoned-up problem, the running time of now recording may be just negative value, or some start-up time adopting started last time calculates duration with this end time point of closing, then there will be the situation of duration overlength, cause duration misregister.

For solving above-mentioned inaccurate problem, gather described application relevant running time as duration information, wherein, described duration information comprises: interface running time and application running time.Wherein, the running time that the described application of described collection is relevant comprises as duration information: host process record point start-up time of described application and end time point, according to described start-up time point and end time point record running time, using described running time as duration information.The i.e. application that runs for multi-process of the present embodiment, the record of start and end time all carries out record from employing host process, namely host process record point start-up time is adopted during application start, application closedown adopts host process record end time point, thus the difference that the calculating end time puts and start-up time puts is running time, guarantee that accurate recording runs duration.

Step 310, is buffered in this locality by the parameter information of described each acquisition parameter.

Step 312, whether the parameter information detecting local cache exceedes cache threshold.

If the parameter information of local cache does not exceed cache threshold, perform step 316; If the parameter information of local cache exceedes cache threshold, perform step 314.

Step 314, if the parameter information of local cache exceedes cache threshold, then deletes the preceding parameter information of cache-time, until the parameter information of buffer memory is no more than described cache threshold.

Cache threshold in the embodiment of the present invention is for determining the data volume of the parameter information of the buffer memory in terminal.Specifically, the performance of different terminals is different, therefore its can the data volume of parameter information of buffer memory different.Can the data volume of buffer memory according to application place terminal, the cache threshold that this terminal is corresponding can be set, and this cache threshold is added in acquisition configuration information.When the parameter information of the local cache of terminal exceedes cache threshold, Cloud Server can delete the preceding parameter information of cache-time by control terminal, until the parameter information of buffer memory is no more than described cache threshold, ensure that the efficiency of data acquisition.Such as arranging cache threshold is 2M, judges that local cache is more than 2M when acquisition parameter information will store, then according to the tandem of time, can delete parameter information from above, until store this acquisition parameter be also no more than 2M.

Whether step 316, detect described parameter information and exceed and upload threshold value.

If described parameter information does not exceed upload threshold value, perform step 320; When described parameter information exceed upload threshold value time, perform step 318.

Step 318, when described parameter information exceed upload threshold value time, described parameter information is divided at least two packets.

The embodiment of the present invention is uploaded by packet to server upload parameter information.If the data volume that data handbag contains is excessive, easily causes and upload failure.The embodiment of the present invention, by uploading threshold value, limits the size of each uploading data bag.When needing the parameter information uploaded to exceed to upload threshold value, just taking the measure of subpackage, being divided at least two packets by described parameter information.Subpackage is uploaded, can avoid data volume excessive cause upload failure.Such as, when to upload threshold value be 100k, when needing the parameter information uploaded to be greater than 100k, parameter information can be divided at least two packets, such as, need the parameter information uploaded to be 250k, then can be divided into three packets 100k, 100k and 50k.

Step 320, determines to upload interval according to current network type, according to described in upload interval judge whether meet upload condition.

By dissimilar transmitted data on network, the transmission rate of data is different.Therefore, message transmission rate that can be corresponding according to network type, what arrange application place terminal map network type uploads interval, and is added in acquisition configuration information at the interval of uploading of different network type.Determine to upload interval according to current network type, according to described in upload interval judge whether meet upload condition.Whether namely detect current time to reach and upload interval, if so, namely current time reaches and uploads interval, now according to described in upload interval and judge to meet and upload condition, perform step 322; If not, namely current time does not reach and uploads interval, now uploads interval described in foundation and judges not meet to upload condition, return step 320, continue judgement and upload condition.

Step 322, carries out compressed encoding by described parameter information according to Predistribution Algorithm, generates supplemental characteristic bag.

Step 324, wraps described supplemental characteristic and passes to server, carries out data analysis to make described server according to described parameter information.

Parameter information meet sampling configuration information in upload condition time, this parameter information is uploaded.Such as, Cloud Server can by arranging priority that each parameter information uploads or uploading interval, and what arrange each parameter information uploads condition, and condition of this being uploaded is saved in acquisition configuration information.Current time reach parameter information upload interval time time, after this parameter information can be carried out compressed encoding by application place terminal, generate supplemental characteristic bag.Wrapped by described supplemental characteristic and pass to Cloud Server, the parameter information being about to meet condition of uploading is uploaded.Data analysis is carried out according to described parameter information to make described server.Obviously, Cloud Server can be arranged for different parameter informations upload condition, and adds in acquisition configuration information, and then can be uploaded condition and controlled uploading of each parameter information by this.

In sum, by obtaining the memory information of described application place mobile terminal, judge whether described memory information reaches collection threshold value; When described memory information reaches collection threshold value, perform the step according to the parameter information applied described in acquisition configuration information gathering; When described memory information does not reach collection threshold value, gather described static parameter and be uploaded to described server, to terminate acquisition step.Consider the terminal of different configuration simultaneously, while guarantee does not affect the normal use of terminal, data acquisition is carried out to the application of terminal.

For embodiment of the method, in order to simple description, therefore it is all expressed as a series of combination of actions, but those skilled in the art should know, the embodiment of the present invention is not by the restriction of described sequence of movement, because according to the embodiment of the present invention, some step can adopt other orders or carry out simultaneously.Secondly, those skilled in the art also should know, the embodiment described in specification all belongs to preferred embodiment, and involved action might not be that the embodiment of the present invention is necessary.

Embodiment three

With reference to Fig. 4, show the structured flowchart that image data according to an embodiment of the invention uploads device embodiment.

Acquisition module 402, gathers the parameter information of each acquisition parameter in described application for applying run time call sampling instrument, wherein, described acquisition parameter comprises static parameter and/or dynamic parameter.

Cache module 404, for being buffered in this locality by the parameter information of described each acquisition parameter.

Upper transmission module 406, for when meet upload condition time, be uploaded to server after being compressed by the parameter information of buffer memory, carry out data analysis to make described server according to described parameter information.

Embodiment four

With reference to Fig. 5, show the structured flowchart that image data in accordance with another embodiment of the present invention uploads device embodiment.

Upper transmission module 406, also for determining to upload interval according to current network type, according to described in upload interval judge whether meet upload condition.

Described upper transmission module 406, comprising: confirm submodule 4062, for reach at current time described network type correspondence upload interval time, confirm meet uploads condition; Compression submodule 4064, for described parameter information is carried out compressed encoding according to Predistribution Algorithm, generates supplemental characteristic bag; Uploading submodule 4066, passing to server for being wrapped by described supplemental characteristic.

Described upper transmission module, also for obtaining the memory information of described application place mobile terminal, judges whether described memory information reaches collection threshold value; When described memory information reaches collection threshold value, perform the step according to the parameter information of each acquisition parameter in application described in acquisition configuration information gathering; When described memory information does not reach collection threshold value, the acquisition parameter gathering described static parameter is uploaded to described server, to terminate to gather.

Described upper transmission module 406, also comprises:

Whether packet divides submodule 4068, exceed upload threshold value for detecting described parameter information; When described parameter information exceed upload threshold value time, described parameter information is divided at least two packets.

Cache module 404, whether the parameter information also for detecting local cache exceedes cache threshold; If the parameter information of local cache exceedes cache threshold, then delete the preceding parameter information of cache-time, until the parameter information of buffer memory is no more than described cache threshold.

Acquisition module 402, also for the priority according to acquisition parameter each in described configuration information, determines the times of collection of the parameter information of described acquisition parameter and uploads interval.

In above-mentioned data acquisition and analysis system, the image data of the present embodiment is uploaded device and can be configured in data terminal, as shown in Figure 6, this data acquisition and analysis system, comprise: gather Control Server 102, data analytics server 104, report generation server 106 and at least one data terminal 108, in described data terminal, sampling instrument is installed.Gather Control Server 102 to comprise: cloud control server 1022 and exploitation configuration server 1024.

Wherein, gather Control Server 102 to configure described acquisition configuration information to data terminal and be handed down to corresponding data terminal 108; Described data terminal 108 is sampling instrument described in application run time call, gathers according to the parameter information of acquisition configuration information to acquisition parameter; The parameter information of collection is uploaded to described collection Control Server 104 by described data terminal 108; Described data analytics server 104 is analyzed the corresponding parameter information of each acquisition parameter uploaded, and obtains data results; Described data results is sent to described report generation server 106 by described data analytics server 104; Described report generation server 106 generates data sheet according to described data results.

In an example, described collection Control Server 102, be handed down to corresponding data terminal for configuring described acquisition configuration information to data terminal, wherein, described configuration information is for controlling the collection of acquisition parameter; Described data terminal 108, for sampling instrument described in application run time call, gathers according to the parameter information of acquisition configuration information to acquisition parameter; And the parameter information of collection is uploaded to described data analytics server; Described data analytics server 104, for analyzing the corresponding parameter information of each acquisition parameter uploaded, obtains data results; Described data results is sent to described report generation server; Described report generation server 106, for generating data sheet according to described data results.

In an embodiment, described collection Control Server 102 comprises cloud control server 1022; Described cloud control server 1022, for determining the acquisition parameter of described application according to application type, wherein, described acquisition parameter comprises: dynamic parameter and/or static parameter; According to described application and application place terminal configuration acquisition configuration information, wherein, described acquisition configuration information is for controlling the collection of described acquisition parameter and uploading; Acquisition parameter and acquisition configuration information are handed down to the data terminal at application place.

Wherein, described collection Control Server configures described acquisition configuration information to data terminal and is handed down to corresponding data terminal, comprise: described collection Control Server determines the acquisition parameter of described application according to application type, wherein, described acquisition parameter comprises: dynamic parameter and/or static parameter; According to described application and the acquisition configuration information applying place terminal configuration, wherein, described acquisition configuration information is for controlling the collection of described acquisition parameter and uploading; Acquisition parameter and acquisition configuration information are handed down to the data terminal at application place.

Described cloud control server 1022, for condition of uploading and/or the sampling condition of configuration parameter information, will upload condition and/or sampling condition adds in acquisition configuration information; Configure the collection threshold value of the corresponding internal memory of described application place terminal, described collection threshold value is added in acquisition configuration information; What configure described application place terminal map network type uploads interval, adds in described acquisition configuration information by described interval of uploading; Configure the corresponding cache threshold of described application place terminal, described cache threshold is added in acquisition configuration information; And configuration protocol uploads the priority of order, sample rate and sampling parameter in described acquisition configuration information.

Step according to the acquisition configuration information of described application and application place terminal configuration comprises following at least one: the condition of uploading of configuration parameter information and/or sampling condition, will upload condition and/or sampling condition adds in acquisition configuration information; Configure the collection threshold value of the corresponding internal memory of described application place terminal, described collection threshold value is added in acquisition configuration information; What configure described application place terminal map network type uploads interval, adds in described acquisition configuration information by described interval of uploading; Configure the corresponding cache threshold of described application place terminal, described cache threshold is added in acquisition configuration information; In described acquisition configuration information, configuration protocol uploads the priority of order, sample rate and sampling parameter.

Wherein, described data terminal 108, for adopting sampling instrument according to the parameter information of the static parameter applied described in acquisition configuration information gathering; And, adopt described sampling instrument to determine dynamic parameter to be collected according to acquisition configuration information, according to described application operation Real-time Collection described in the parameter information of dynamic parameter.

The parameter information of described foundation acquisition configuration information to acquisition parameter gathers, and comprising: adopt described sampling instrument according to the parameter information of the static parameter applied described in acquisition configuration information gathering; Adopt described sampling instrument to determine dynamic parameter to be collected according to acquisition configuration information, according to described application operation Real-time Collection described in the parameter information of dynamic parameter.

Described data terminal 108, for when the changing interface of described application being detected, the interface before record switches is page up, and the interface after record switches is current page, described page up and current page is added in application interface log-on message; When detecting that the button of described application is triggered, obtaining the button numbering that described button is corresponding, upgrading the number of clicks that described button numbering is corresponding, described button numbering and number of clicks are added in button click information; Gather described application relevant running time as duration information, wherein, described duration information comprises: interface running time and application running time.

According to described application operation Real-time Collection described in the step of parameter information of dynamic parameter comprise following at least one: when the changing interface of described application being detected, interface before record switches is page up, interface after record switches is current page, described page up and current page is added in application interface log-on message; When detecting that the button of described application is triggered, obtaining the button numbering that described button is corresponding, upgrading the number of clicks that described button numbering is corresponding, described button numbering and number of clicks are added in button click information; Gather described application relevant running time as duration information, wherein, described duration information comprises: interface running time and application running time.

Wherein, the parameter information of described static parameter comprises following at least one item: terminal iidentification, version information, channel information, network type and resolution information; The parameter information of described dynamic parameter comprises following at least one item: application interface log-on message, button click information, duration information, abnormal information and session information.

In the present embodiment, described report generation server 106, for the self-defined management information of the corresponding customized event of application according to configuration, obtains business statistics information; Customized event form is generated according to described self-defined management information and business statistics information.

Described report generation server generates data sheet according to described data results, comprising: described report generation server, according to the self-defined management information of the corresponding customized event of application of configuration, obtains business statistics information; Customized event form is generated according to described self-defined management information and business statistics information.

Described report generation server 106, also for obtaining the application path of described application from the described service management page, and the customized event information of the corresponding customized event of described application, wherein, described customized event information comprises: event title and event attribute; Described application path and customized event information is adopted to generate self-defined management information.

Also comprise the step configuring self-defined management information: the application path obtaining described application from the described service management page, and the customized event information of the corresponding customized event of described application, wherein, described customized event information comprises: event title and event attribute; Described application path and customized event information is adopted to generate self-defined management information.

Described report generation server 106, for determining application according to described application path; For each customized event, obtain the logical name that described event title is corresponding, and the logical attribute that described event attribute is corresponding; Search the corresponding acquisition parameter of described logical name, determine according to described logical attribute the business statistics information that described acquisition parameter is corresponding; And determine the event title that each acquisition parameter is corresponding, adopt the business statistics information of each event title and corresponding acquisition parameter to generate the customized event form of application.

The self-defined management information of the corresponding customized event of the application according to configuration, obtains business statistics information; Generate customized event form according to described self-defined management information and business statistics information, comprising: determine application according to described application path; For each customized event, obtain the logical name that described event title is corresponding, and the logical attribute that described event attribute is corresponding; Search the corresponding acquisition parameter of described logical name, determine according to described logical attribute the business statistics information that described acquisition parameter is corresponding; Determine the event title that each acquisition parameter is corresponding, adopt the business statistics information of each event title and corresponding acquisition parameter to generate the customized event form of application.

Wherein, described collection Control Server, also for configuring the detecting information of the corresponding testing equipment of described target application; Described data analytics server, the parameter information also for uploading described target application correspondence is analyzed; When judging that described parameter information belongs to testing equipment, in real time the parameter information belonging to testing equipment is analyzed; Described report generation server, time also for judging that described parameter information belongs to testing equipment, generates data sheet in real time according to data results.

Described method also comprises: described collection Control Server configures the detecting information of the corresponding testing equipment of described target application; Described data analytics server is analyzed the parameter information that described target application correspondence is uploaded; When judging that described parameter information belongs to testing equipment, in real time the parameter information belonging to testing equipment is analyzed; When described report generation server judges that described parameter information belongs to testing equipment, generate data sheet in real time according to data results.

Wherein, described collection Control Server 102, comprising: exploitation configuration server 1024; Described exploitation configuration server, for after target application completes registration, configures the test mark of at least one testing equipment to described target application; For described target application configures acquisition parameter to be tested, using described test mark and acquisition parameter as detecting information; Described data analytics server, also for obtaining the parameter information of the corresponding acquisition parameter of target application from the parameter information uploaded; By terminal parameter counterpart terminal mark in described parameter information; Judge described terminal iidentification with test in testing equipment table identify whether identical, when described terminal iidentification with in testing equipment table arbitrary test identify identical time, judge that parameter information belongs to testing equipment.

Configure the detecting information of the corresponding testing equipment of described target application, comprising: after target application completes registration, described target application is configured to the test mark of at least one testing equipment; For described target application configures acquisition parameter to be tested, using described test mark and acquisition parameter as detecting information; Described method also comprises: described data analytics server obtains the parameter information of the corresponding acquisition parameter of target application from the parameter information uploaded; By terminal parameter counterpart terminal mark in described parameter information; Judge described terminal iidentification with test in testing equipment table identify whether identical, when described terminal iidentification with in testing equipment table arbitrary test identify identical time, judge that parameter information belongs to testing equipment.

Described data analytics server 104, also for searching the corresponding check information of checking parameter from described parameter information; Carry out analysis to described check information to determine to kidnap check results.

Described method also comprises: data analytics server searches the corresponding check information of checking parameter from described parameter information; Carry out analysis to described check information to determine to kidnap check results.

Described data analytics server 104, for determining the parameter identification of checking parameter, searches the corresponding check information of described parameter identification from described parameter information; Whether detect described check information is target information; If described check information is not target information, determine that flow exists and kidnap extremely, in described abduction check results, record is kidnapped abnormal; If described check information is target information, determine that transfer of data is normal, in described abduction check results, record transmission is normal.

The corresponding check information of checking parameter is searched from described parameter information; Carry out analysis to described check information to determine to kidnap check results, comprising: the parameter identification determining checking parameter, from described parameter information, search the corresponding check information of described parameter identification; Whether detect described check information is target information; If described check information is not target information, determine that flow exists and kidnap extremely, in described abduction check results, record is kidnapped abnormal; If described check information is target information, determine that transfer of data is normal, in described abduction check results, record transmission is normal.

Described data analytics server 104, also for searching stored parameter corresponding stored information from described parameter information; According to the described storage infomation detection quality of data, determine quality indicator result.

Described method also comprises: described data analytics server searches stored parameter corresponding stored information from described parameter information; According to the described storage infomation detection quality of data, determine quality indicator result.

Described data analytics server 104, for determining the storaging mark of stored parameter, searches described storaging mark corresponding stored information from described parameter information; According to described at least one terminal iidentification of storage information searching; When the corresponding terminal iidentification of described storage information, generate up-to-standard quality indicator result; When the corresponding more than one terminal iidentification of described storage information, search the corresponding successful information upload of described terminal iidentification; Each terminal iidentification correspondence is uploaded successful information sort, according to ranking results determine described in upload successful information there is not redundancy time, judge data exception, generation data exception quality indicator result.

Stored parameter corresponding stored information is searched from described parameter information; According to the described storage infomation detection quality of data, determine quality indicator result, comprising: the storaging mark determining stored parameter, from described parameter information, search described storaging mark corresponding stored information; According to described at least one terminal iidentification of storage information searching; When the corresponding terminal iidentification of described storage information, generate up-to-standard quality indicator result; When the corresponding more than one terminal iidentification of described storage information, search the corresponding successful information upload of described terminal iidentification; Each terminal iidentification correspondence is uploaded successful information sort, according to ranking results determine described in upload successful information there is not redundancy time, judge data exception, generation data exception quality indicator result.

For device embodiment, due to itself and embodiment of the method basic simlarity, so description is fairly simple, relevant part illustrates see the part of embodiment of the method.

Intrinsic not relevant to any certain computer, virtual system or miscellaneous equipment with display at this algorithm provided.Various general-purpose system also can with use based on together with this teaching.According to description above, the structure constructed required by this type systematic is apparent.In addition, the present invention is not also for any certain programmed language.It should be understood that and various programming language can be utilized to realize content of the present invention described here, and the description done language-specific is above to disclose preferred forms of the present invention.

In specification provided herein, describe a large amount of detail.But can understand, embodiments of the invention can be put into practice when not having these details.In some instances, be not shown specifically known method, structure and technology, so that not fuzzy understanding of this description.

Similarly, be to be understood that, in order to simplify the disclosure and to help to understand in each inventive aspect one or more, in the description above to exemplary embodiment of the present invention, each feature of the present invention is grouped together in single embodiment, figure or the description to it sometimes.But, the method for the disclosure should be construed to the following intention of reflection: namely the present invention for required protection requires feature more more than the feature clearly recorded in each claim.Or rather, as claims below reflect, all features of disclosed single embodiment before inventive aspect is to be less than.Therefore, the claims following embodiment are incorporated to this embodiment thus clearly, and wherein each claim itself is as independent embodiment of the present invention.

Those skilled in the art are appreciated that and adaptively can change the module in the equipment in embodiment and they are arranged in one or more equipment different from this embodiment.Module in embodiment or unit or assembly can be combined into a module or unit or assembly, and multiple submodule or subelement or sub-component can be put them in addition.Except at least some in such feature and/or process or unit be mutually repel except, any combination can be adopted to combine all processes of all features disclosed in this specification (comprising adjoint claim, summary and accompanying drawing) and so disclosed any method or equipment or unit.Unless expressly stated otherwise, each feature disclosed in this specification (comprising adjoint claim, summary and accompanying drawing) can by providing identical, alternative features that is equivalent or similar object replaces.

In addition, those skilled in the art can understand, although embodiments more described herein to comprise in other embodiment some included feature instead of further feature, the combination of the feature of different embodiment means and to be within scope of the present invention and to form different embodiments.Such as, in the following claims, the one of any of embodiment required for protection can use with arbitrary compound mode.

All parts embodiment of the present invention with hardware implementing, or can realize with the software module run on one or more processor, or realizes with their combination.It will be understood by those of skill in the art that the some or all functions that microprocessor or digital signal processor (DSP) can be used in practice to realize uploading according to the image data method for uploading of the embodiment of the present invention and data acquisition the some or all parts in appliance arrangement.The present invention can also be embodied as part or all equipment for performing method as described herein or device program (such as, computer program and computer program).Realizing program of the present invention and can store on a computer-readable medium like this, or the form of one or more signal can be had.Such signal can be downloaded from internet website and obtain, or provides on carrier signal, or provides with any other form.

The present invention will be described instead of limit the invention to it should be noted above-described embodiment, and those skilled in the art can design alternative embodiment when not departing from the scope of claims.In the claims, any reference symbol between bracket should be configured to limitations on claims.Word " comprises " not to be got rid of existence and does not arrange element in the claims or step.Word "a" or "an" before being positioned at element is not got rid of and be there is multiple such element.The present invention can by means of including the hardware of some different elements and realizing by means of the computer of suitably programming.In the unit claim listing some devices, several in these devices can be carry out imbody by same hardware branch.Word first, second and third-class use do not represent any order.Can be title by these word explanations.

The invention discloses A1, a kind of image data method for uploading, comprising: application run time call sampling instrument gathers the parameter information of each acquisition parameter in described application, and wherein, described acquisition parameter comprises static parameter and/or dynamic parameter; The parameter information of described each acquisition parameter is buffered in this locality; When meet upload condition time, be uploaded to server after being compressed by the parameter information of buffer memory, carry out data analysis to make described server according to described parameter information.

A2, method as described in A1, also comprise: determine to upload interval according to current network type, according to described in upload interval and judge whether to meet and upload condition.

A3, method as described in A2, described when meet upload condition time, be uploaded to server after being compressed by parameter information, comprise: when uploading interval described in current time reaches, confirm to meet and uploads condition; Described parameter information is carried out compressed encoding according to Predistribution Algorithm, generates supplemental characteristic bag; Described supplemental characteristic is wrapped and passes to server.

A4, method as described in A1, call before sampling instrument gathers the parameter information of each acquisition parameter in described application, also comprise: the memory information obtaining described application place mobile terminal, judge whether described memory information reaches collection threshold value; When described memory information reaches collection threshold value, perform the step according to the parameter information of each acquisition parameter in application described in acquisition configuration information gathering; When described memory information does not reach collection threshold value, the acquisition parameter gathering described static parameter is uploaded to described server, to terminate acquisition step.

Whether A5, method as described in A3, before described parameter information is carried out compressed encoding according to Predistribution Algorithm, also comprise: detect described parameter information and exceed and upload threshold value; When described parameter information exceed upload threshold value time, described parameter information is divided at least two packets.

A6, method as described in A2, after the parameter information of described each acquisition parameter is buffered in this locality, also comprise: whether the parameter information detecting local cache exceedes cache threshold; If the parameter information of local cache exceedes cache threshold, then delete the preceding parameter information of cache-time, until the parameter information of buffer memory is no more than described cache threshold.

A7, method as described in A1, also comprise: according to the priority of acquisition parameter each in described configuration information, determine the times of collection of the parameter information of described acquisition parameter and upload interval.

The invention also discloses B8, a kind of image data uploads device, comprising: acquisition module, gathering the parameter information of each acquisition parameter in described application for applying run time call sampling instrument, wherein, described acquisition parameter comprises static parameter and/or dynamic parameter; Cache module, for being buffered in this locality by the parameter information of described each acquisition parameter; Upper transmission module, for when meet upload condition time, be uploaded to server after being compressed by the parameter information of buffer memory, carry out data analysis to make described server according to described parameter information.

B9, device as described in B8, upper transmission module, also for determining to upload interval according to current network type, according to described in upload interval and judge whether to meet and upload condition.

B10, device as described in B9, described upper transmission module, comprising: confirm submodule, during for uploading interval described in reaching at current time, confirming to meet and uploading condition; Compression submodule, for described parameter information is carried out compressed encoding according to Predistribution Algorithm, generates supplemental characteristic bag; Packet uploads submodule, passes to server for being wrapped by described supplemental characteristic.

B11, device as described in B8, described upper transmission module, also for obtaining the memory information of described application place mobile terminal, judges whether described memory information reaches collection threshold value; When described memory information reaches collection threshold value, perform the step according to the parameter information of each acquisition parameter in application described in acquisition configuration information gathering; When described memory information does not reach collection threshold value, the acquisition parameter gathering described static parameter is uploaded to described server, to terminate to gather.

B12, device as described in B10, whether described upper transmission module, also comprises: packet divides submodule, exceed upload threshold value for detecting described parameter information; When described parameter information exceed upload threshold value time, described parameter information is divided at least two packets.

B13, device as described in B9, cache module, whether the parameter information also for detecting local cache exceedes cache threshold; If the parameter information of local cache exceedes cache threshold, then delete the preceding parameter information of cache-time, until the parameter information of buffer memory is no more than described cache threshold.

B14, device as described in B8, acquisition module, also for the priority according to acquisition parameter each in described configuration information, determines the times of collection of the parameter information of described acquisition parameter and uploads interval.

Claims

1. an image data method for uploading, comprising:

Application run time call sampling instrument gathers the parameter information of each acquisition parameter in described application, and wherein, described acquisition parameter comprises static parameter and/or dynamic parameter;

The parameter information of described each acquisition parameter is buffered in this locality;

When meet upload condition time, be uploaded to server after being compressed by the parameter information of buffer memory, carry out data analysis to make described server according to described parameter information.

2. method according to claim 1, is characterized in that, also comprises:

Determine to upload interval according to current network type, according to described in upload interval judge whether meet upload condition.

3. method according to claim 2, is characterized in that, described when meet upload condition time, be uploaded to server after being compressed by parameter information, comprise:

When uploading interval described in current time reaches, confirming to meet and uploading condition;

Described parameter information is carried out compressed encoding according to Predistribution Algorithm, generates supplemental characteristic bag;

Described supplemental characteristic is wrapped and passes to server.

4. method according to claim 1, is characterized in that, calls before sampling instrument gathers the parameter information of each acquisition parameter in described application, also comprises:

Obtain the memory information of described application place mobile terminal, judge whether described memory information reaches collection threshold value;

When described memory information reaches collection threshold value, perform the step according to the parameter information of each acquisition parameter in application described in acquisition configuration information gathering;

When described memory information does not reach collection threshold value, the acquisition parameter gathering described static parameter is uploaded to described server, to terminate acquisition step.

5. method according to claim 3, is characterized in that, before described parameter information is carried out compressed encoding according to Predistribution Algorithm, also comprises:

Detect described parameter information whether to exceed and upload threshold value;

When described parameter information exceed upload threshold value time, described parameter information is divided at least two packets.

6. method according to claim 2, is characterized in that, after the parameter information of described each acquisition parameter is buffered in this locality, also comprises:

Whether the parameter information detecting local cache exceedes cache threshold;

If the parameter information of local cache exceedes cache threshold, then delete the preceding parameter information of cache-time, until the parameter information of buffer memory is no more than described cache threshold.

7. method according to claim 1, is characterized in that, also comprises:

According to the priority of acquisition parameter each in described configuration information, determine the times of collection of the parameter information of described acquisition parameter and upload interval.

8. image data uploads a device, comprising:

Acquisition module, gathers the parameter information of each acquisition parameter in described application for applying run time call sampling instrument, wherein, described acquisition parameter comprises static parameter and/or dynamic parameter;

Cache module, for being buffered in this locality by the parameter information of described each acquisition parameter;

Upper transmission module, for when meet upload condition time, be uploaded to server after being compressed by the parameter information of buffer memory, carry out data analysis to make described server according to described parameter information.

9. device according to claim 8, is characterized in that,

Upper transmission module, also for determining to upload interval according to current network type, according to described in upload interval judge whether meet upload condition.

10. device according to claim 9, is characterized in that, described upper transmission module, comprising:

Confirm submodule, during for uploading interval described in reaching at current time, confirming to meet and uploading condition;

Compression submodule, for described parameter information is carried out compressed encoding according to Predistribution Algorithm, generates supplemental characteristic bag;

Packet uploads submodule, passes to server for being wrapped by described supplemental characteristic.