CN116737437A

CN116737437A - Data analysis method, device, computer equipment and storage medium

Info

Publication number: CN116737437A
Application number: CN202310668909.3A
Authority: CN
Inventors: 韦金记
Original assignee: Ping An Technology Shenzhen Co Ltd
Current assignee: Ping An Technology Shenzhen Co Ltd
Priority date: 2023-06-06
Filing date: 2023-06-06
Publication date: 2023-09-12

Abstract

The embodiment of the application belongs to the field of artificial intelligence and financial science and technology, and relates to a data analysis method, which comprises the following steps: judging whether a page fault event corresponding to a target application is detected; if yes, determining a target associated page corresponding to the target application; acquiring target page reporting information corresponding to a target associated page; determining an associated user corresponding to the page fault event; based on the information reported by the target page, generating user operation flow information of the associated user on the target associated page; based on the user operation flow information, generating a fault reason corresponding to the page fault event. The application also provides a data analysis device, computer equipment and a storage medium. In addition, the application also relates to a blockchain technology, and user operation flow information can be stored in the blockchain. The application can be applied to the data analysis scene in the financial field, improves the efficiency of the investigation and processing of the page fault event, and ensures the accuracy of the fault cause of the generated page fault event.

Description

Data analysis method, device, computer equipment and storage medium

Technical Field

The present application relates to the field of artificial intelligence and financial technology, and in particular, to a data analysis method, apparatus, computer device, and storage medium.

Background

In PC terminals or applications related to current finance and technology companies (such as insurance companies, banks, etc.), a situation that a page of a system fails is often encountered, and when a failure is encountered many times, a positioning problem needs to determine an operation flow of a user first. For example, in shopping APP, the user accesses the commodity details to generate page blank, but the commodity details can be accessed through a shopping cart, or the commodity details corresponding to commodity entry can be clicked directly from the first page, or the commodity details can be accessed from an order list. When the page entries are many, not all page entries will be white-screen, and there may be a white-screen problem with only one page entry. In the conventional system for checking page faults, the entry checking is usually performed manually, and if each page entry is checked manually, a lot of manpower time is required, and the processing efficiency is low.

Disclosure of Invention

The embodiment of the application aims to provide a data analysis method, a data analysis device, computer equipment and a storage medium, which are used for solving the technical problems that the conventional investigation mode of page faults of a system by a finance and science company is usually to use manpower to carry out entrance investigation, more manpower time is required, and the processing efficiency is low.

In order to solve the above technical problems, the embodiment of the present application provides a data analysis method, which adopts the following technical scheme:

judging whether a page fault event corresponding to a target application is detected;

if yes, determining a target associated page corresponding to the target application; wherein the number of target associated pages includes a plurality of;

acquiring prestored target page reporting information corresponding to the target associated page;

determining an associated user corresponding to the page fault event;

generating user operation flow information of the associated user for the target associated page based on the target page reporting information;

and generating a fault reason corresponding to the page fault event based on the user operation flow information.

Further, the step of generating the user operation flow information of the associated user for the target associated page based on the target page reporting information specifically includes:

acquiring page jump information corresponding to the target associated page from the page report information;

acquiring target timestamp information corresponding to the target associated page from the page jump information;

And generating user operation flow information of the associated user for the target associated page based on the target timestamp information.

Further, before the step of obtaining the pre-stored target page reporting information corresponding to the target associated page, the method further includes:

when a page access request corresponding to the target application is received, intercepting the page access request based on a preset route interceptor; the request parameters of the page access request at least carry a time stamp;

acquiring target route information in the page access request and acquiring time stamp information in the page access request;

generating corresponding page report information based on the target route information and the timestamp information;

and reporting the page reporting information to a preset information reporting center based on a preset interface.

Further, the step of reporting the page reporting information to a preset information reporting center based on a preset interface specifically includes:

acquiring a target application identifier of the target application;

determining a target storage data block corresponding to the target application identifier from all storage data blocks contained in the information reporting center based on the target application identifier;

And reporting the page reporting information to the target storage data block based on the preset interface.

executing page screen recording processing corresponding to the target application to obtain page screen recording information corresponding to the target application;

analyzing the page screen recording information to generate user page operation information corresponding to the target associated page;

and generating the page reporting information based on the user page operation information.

Further, the step of analyzing the page screen recording information to generate user page operation information corresponding to the target associated page specifically includes:

calling a preset identification model;

inputting the page screen recording information into the identification model;

and carrying out recognition processing on the page screen recording information based on the recognition model, and generating the user page operation information corresponding to the target associated page.

Further, after the step of generating the fault reason corresponding to the page fault event based on the user operation flow information, the method further includes:

Generating fault alarm information corresponding to the fault cause;

acquiring communication information of a target user;

and pushing the fault alarm information to the target user based on the communication information.

In order to solve the above technical problems, the embodiment of the present application further provides a data analysis device, which adopts the following technical scheme:

the judging module is used for judging whether a page fault event corresponding to the target application is detected or not;

the first determining module is used for determining a target associated page corresponding to the target application if yes; wherein the number of target associated pages includes a plurality of;

the first acquisition module is used for acquiring prestored target page reporting information corresponding to the target associated page;

the second determining module is used for determining an associated user corresponding to the page fault event;

the first generation module is used for generating user operation flow information of the associated user for the target associated page based on the target page reporting information;

and the second generation module is used for generating a fault reason corresponding to the page fault event based on the user operation flow information.

In order to solve the above technical problems, the embodiment of the present application further provides a computer device, which adopts the following technical schemes:

determining an associated user corresponding to the page fault event;

In order to solve the above technical problems, an embodiment of the present application further provides a computer readable storage medium, which adopts the following technical schemes:

determining an associated user corresponding to the page fault event;

Compared with the prior art, the embodiment of the application has the following main beneficial effects:

when a page fault event corresponding to a target application is detected, determining a target associated page corresponding to the target application; wherein the number of target associated pages includes a plurality of; then obtaining prestored target page reporting information corresponding to the target associated page; then determining an associated user corresponding to the page fault event; subsequently, based on the information reported by the target page, generating user operation flow information of the associated user on the target associated page; and finally, generating a fault reason corresponding to the page fault event based on the user operation flow information. When the page fault event corresponding to the target application is detected, the embodiment of the application acquires the target page report information corresponding to the target associated page of the target application, and then automatically generates the user operation flow information of the associated user for the target associated page according to the target page report information, so that the fault reason corresponding to the page fault event can be quickly and accurately generated based on the user operation flow information, the efficiency of the investigation and processing of the page fault event is improved, and the accuracy of the generated fault reason of the page fault event is ensured.

Drawings

In order to more clearly illustrate the solution of the present application, a brief description will be given below of the drawings required for the description of the embodiments of the present application, it being apparent that the drawings in the following description are some embodiments of the present application, and that other drawings may be obtained from these drawings without the exercise of inventive effort for a person of ordinary skill in the art.

FIG. 1 is an exemplary system architecture diagram in which the present application may be applied;

FIG. 2 is a flow chart of one embodiment of a data analysis method according to the present application;

FIG. 3 is a schematic diagram of a data analysis device according to one embodiment of the present application;

FIG. 4 is a schematic structural diagram of one embodiment of a computer device in accordance with the present application.

Detailed Description

Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this application belongs; the terminology used in the description of the applications herein is for the purpose of describing particular embodiments only and is not intended to be limiting of the application; the terms "comprising" and "having" and any variations thereof in the description of the application and the claims and the description of the drawings above are intended to cover a non-exclusive inclusion. The terms first, second and the like in the description and in the claims or in the above-described figures, are used for distinguishing between different objects and not necessarily for describing a sequential or chronological order.

Reference herein to "an embodiment" means that a particular feature, structure, or characteristic described in connection with the embodiment may be included in at least one embodiment of the application. The appearances of such phrases in various places in the specification are not necessarily all referring to the same embodiment, nor are separate or alternative embodiments mutually exclusive of other embodiments. Those of skill in the art will explicitly and implicitly appreciate that the embodiments described herein may be combined with other embodiments.

In order to make the person skilled in the art better understand the solution of the present application, the technical solution of the embodiment of the present application will be clearly and completely described below with reference to the accompanying drawings.

As shown in fig. 1, a system architecture 100 may include terminal devices 101, 102, 103, a network 104, and a server 105. The network 104 is used as a medium to provide communication links between the terminal devices 101, 102, 103 and the server 105. The network 104 may include various connection types, such as wired, wireless communication links, or fiber optic cables, among others.

The user may interact with the server 105 via the network 104 using the terminal devices 101, 102, 103 to receive or send messages or the like. Various communication client applications, such as a web browser application, a shopping class application, a search class application, an instant messaging tool, a mailbox client, social platform software, etc., may be installed on the terminal devices 101, 102, 103.

The terminal devices 101, 102, 103 may be various electronic devices having a display screen and supporting web browsing, including but not limited to smartphones, tablet computers, electronic book readers, MP3 players (Moving Picture Experts Group Audio Layer III, dynamic video expert compression standard audio plane 3), MP4 (Moving Picture Experts Group Audio Layer IV, dynamic video expert compression standard audio plane 4) players, laptop and desktop computers, and the like.

The server 105 may be a server providing various services, such as a background server providing support for pages displayed on the terminal devices 101, 102, 103.

It should be noted that, the data analysis method provided by the embodiment of the present application is generally executed by a server/terminal device, and accordingly, the data analysis device is generally disposed in the server/terminal device.

It should be understood that the number of terminal devices, networks and servers in fig. 1 is merely illustrative. There may be any number of terminal devices, networks, and servers, as desired for implementation.

With continued reference to FIG. 2, a flow chart of one embodiment of a data analysis method according to the present application is shown. The order of the steps in the flowchart may be changed and some steps may be omitted according to various needs. The data analysis method provided by the embodiment of the application can be applied to any scene needing data analysis, and can be applied to products of the scenes, such as financial data analysis in the field of financial insurance. The data analysis method comprises the following steps:

Step S201, it is determined whether a page fault event corresponding to the target application is detected.

In this embodiment, the electronic device (for example, the server/terminal device shown in fig. 1) on which the data analysis method operates may acquire the page fault event through a wired connection manner or a wireless connection manner. It should be noted that the wireless connection may include, but is not limited to, 3G/4G/5G connection, wiFi connection, bluetooth connection, wiMAX connection, zigbee connection, UWB (ultra wideband) connection, and other now known or later developed wireless connection. The electronic device may have installed therein a target application, which may be a financial-type application, including, for example, an insurance application, a banking application, and the like. The page fault event may include an event that a page appears blank, the page cannot be displayed normally, and the like.

Step S202, if yes, determining a target associated page corresponding to the target application; wherein the number of target associated pages includes a plurality.

In this embodiment, the target associated page may refer to all pages included in the target application. For example, if the target application is a shopping application in an insurance marketing scenario, the target associated page corresponding to the shopping application may include an application front page, a shopping cart page, an order list page, an item detail page, an insurance profile, and so on.

Step S203, obtaining pre-stored target page reporting information corresponding to the target associated page.

In this embodiment, in the running process of the target application, page information of a target associated page included in the target application is collected in advance to obtain corresponding page report information, and the page report information is reported and stored. The page report information may include page skip information, which may include at least page level information and timestamp information of the page. The page level information may include, for example, a home page-item detail page, a shopping cart page-item detail page. The time stamp information of the page refers to time point information corresponding to the page skip operation performed by the associated user.

And step S204, determining an associated user corresponding to the page fault event.

In this embodiment, the associated user may refer to a user who experiences and proposes that the target application has the page fault event, or may refer to a user who is closest to a time interval in which the page fault event occurs.

Step S205, based on the report information of the target page, generating user operation flow information of the associated user for the target associated page.

In this embodiment, the specific implementation process of generating the user operation flow information of the related user on the target related page based on the target page reporting information is described in further detail in the following specific embodiments, which will not be described herein.

Step S206, generating a fault reason corresponding to the page fault event based on the user operation flow information.

In this embodiment, the generated user operation flow information may be analyzed to identify a page related to the user operation and timestamp information of the operated page from the user operation flow information, so as to generate a failure cause corresponding to the page failure event according to the obtained timestamp information of the operated page, that is, generate a specific failed target page entry corresponding to the page failure event. For example, if the associated user is at 18: and 00, jumping from the first page of the target application to the commodity detail page, wherein at the moment, the page fault event of the page blank appears on the commodity detail page, so that the fault reason of the page fault event at the time can be attributed to the fault of the page entry of the first page-commodity detail page.

When a page fault event corresponding to a target application is detected, a target associated page corresponding to the target application is determined; wherein the number of target associated pages includes a plurality of; then obtaining prestored target page reporting information corresponding to the target associated page; then determining an associated user corresponding to the page fault event; subsequently, based on the information reported by the target page, generating user operation flow information of the associated user on the target associated page; and finally, generating a fault reason corresponding to the page fault event based on the user operation flow information. When the page fault event corresponding to the target application is detected, the method and the device for generating the page fault event based on the user operation flow information automatically generate the user operation flow information of the associated user on the target associated page by acquiring the target page reporting information corresponding to the target associated page of the target application, so that the fault cause corresponding to the page fault event can be rapidly and accurately generated based on the user operation flow information, the efficiency of the investigation and processing of the page fault event is improved, and the accuracy of the generated fault cause of the page fault event is ensured.

In some alternative implementations, step S205 includes the steps of:

and acquiring page jump information corresponding to the target associated page from the page report information.

In this embodiment, the page report information may include page skip information, and the page skip information may include at least page level information and time stamp information of a page. The page level information may include, for example, a home page-item detail page, a shopping cart page-item detail page.

And acquiring target timestamp information corresponding to the target associated page from the page jump information.

In this embodiment, the target timestamp information corresponding to the target associated page refers to time point information matched with the page skip operation corresponding to the target associated page by the associated user.

In this embodiment, user operation flow information of the associated user on the target associated page may be generated according to the obtained timestamp information of the target associated page operated by the associated user. For example, the target timestamp information is 18:00, and at 18:00 when the associated user performs the operation of jumping from the first page of the target application to the commodity detail page, the user operation flow information can be generated, which comprises the following steps: the associated user at 18:00 makes a jump from the home page of the target application to the item detail page. Specifically, a target page corresponding to target timestamp information in a target associated page and page jump relation information can be acquired first; then acquiring a preset operation flow information template; and filling the target page, the page jump relation information and the target timestamp information into corresponding positions in the operation flow information template to generate user operation flow information of the associated user on the target associated page. The operation flow information template can be written and generated according to actual service use requirements.

The application acquires the page jump information corresponding to the target associated page from the page report information; then, acquiring target timestamp information corresponding to the target associated page from the page jump information; and further generating user operation flow information of the associated user for the target associated page based on the target timestamp information. According to the method and the device for generating the fault cause corresponding to the page fault event, the target timestamp information corresponding to the target associated page is analyzed from the page report information, so that the user operation flow information of the associated user for the target associated page can be generated rapidly and intelligently based on the target timestamp information, the generation intelligence of the user operation flow information is improved, and the fault cause corresponding to the page fault event can be generated accurately and intelligently based on the user operation flow information.

In some optional implementations of this embodiment, before step S203, the electronic device may further perform the following steps:

when a page access request corresponding to the target application is received, intercepting the page access request based on a preset route interceptor; and the request parameters of the page access request carry at least a time stamp.

In this embodiment, the route interceptor may be an existing route interceptor. When the electronic device receives a page access request corresponding to the target application, a timestamp can be added in a request head of the page access request in advance.

And acquiring target routing information in the page access request and acquiring time stamp information in the page access request.

In this embodiment, the target routing information refers to a page address required for the page access request to request access, or a page identifier required for the page access request. The time stamp information may refer to a time stamp of a page requested to be accessed by the page access request, which is needed to jump to access the current page corresponding to the page access request.

And generating corresponding page report information based on the target routing information and the timestamp information.

In this embodiment, the page information of the current page corresponding to the page access request may be acquired first, and then the page information of the current page, the target route information and the timestamp information may be integrated to generate page report information corresponding to the current page access request.

In this embodiment, the preset interface may be a back-end interface of the electronic device, and a timestamp may be added to an interface parameter of the back-end interface. The specific implementation process of reporting the page report information to the preset information reporting center based on the preset interface will be described in further detail in the following specific embodiments, which are not described herein.

According to the method, when a page access request corresponding to the target application is received, the page access request is intercepted based on a preset route interceptor; then, acquiring target route information in the page access request and acquiring time stamp information in the page access request; and generating corresponding page reporting information based on the target route information and the time stamp information, and reporting the page reporting information to a preset information reporting center based on a preset interface. According to the application, the received page access request corresponding to the target application is intercepted based on the route interceptor, so that corresponding page report information can be generated according to the target route information and the time stamp information obtained from the page access request, and the automatic generation of the page report information is realized. And the page report information is reported to the preset information reporting center, so that the required page report information can be quickly and conveniently acquired by querying the information reporting center, and the acquisition efficiency of the page report information is improved.

In some optional implementations, the reporting the page reporting information to a preset information reporting center based on a preset interface includes the following steps:

and acquiring a target application identifier of the target application.

In this embodiment, the target application identifier may refer to an application name or an application type of the target application.

And determining a target storage data block corresponding to the target application identifier from all storage data blocks contained in the information reporting center based on the target application identifier.

In this embodiment, the target number of all applications included in the electronic device may be obtained first, then the storage space in the information reporting center may be divided into a plurality of storage data blocks with the same target number, and a one-to-one correspondence between each of the applications and each of the storage data blocks may be randomly constructed, where one storage data block is dedicated to storing data of an application having a correspondence with the storage data block.

The method comprises the steps of obtaining a target application identifier of the target application; then, determining a target storage data block corresponding to the target application identifier from all storage data blocks contained in the information reporting center based on the target application identifier; and then reporting the page report information to the target storage data block based on the preset interface so as to store the page report information by using the target storage data block matched with the target application in the information reporting center, thereby improving the storage normalization and storage intelligence of the page report information of the target application.

In some alternative implementations, before step S203, the electronic device may further perform the following steps:

and executing the page screen recording processing corresponding to the target application to obtain page screen recording information corresponding to the target application.

In this embodiment, the page screen recording process corresponding to the target application may be automatically performed when the target application is started.

And analyzing the page screen recording information to generate user page operation information corresponding to the target associated page.

In this embodiment, the above-mentioned specific implementation process of analyzing the page screen recording information to generate the user page operation information corresponding to the target associated page will be described in further detail in the following specific embodiments, which are not described herein too much

In this embodiment, the user page operation information may include page information and operation information, and the corresponding page report information may be generated based on integrating the page information and the operation information. For example, the page information may include a page a, a page B, and a skip button for skipping from the page a to the page B, the operation information may include clicking, and the generated page report information may be: clicking the jump button from page A to page B, and jumping from page A to page B.

The method comprises the steps of obtaining page screen recording information corresponding to a target application by executing page screen recording processing corresponding to the target application; then analyzing the page screen recording information to generate user page operation information corresponding to the target associated page; and further, the page report information is generated based on the user page operation information, so that the automatic generation of the page report information is realized, and the user operation flow information of the associated user for the target associated page can be generated rapidly and accurately based on the generated page report information, thereby improving the generation intelligence of the user operation flow information.

In some optional implementations of this embodiment, the analyzing the page screen recording information to generate user page operation information corresponding to the target associated page includes the following steps:

and calling a preset identification model.

In this embodiment, the recognition model may be a visual image recognition model. The visual image recognition model can automatically recognize the visual image of the operation of the user on the current page contained in the page screen recording information, and output corresponding page information and operation information. The page information may include operation interface information and control information of each control in the operation interface, for example, including a logic hierarchy relation and position information of the control; the operation information may include operation type information, and may include, for example, operation types such as clicking, inputting, and the like.

And inputting the page screen recording information into the identification model.

In this embodiment, the training generation process of the recognition model may refer to the training generation process of the existing visual image recognition model, and will not be described herein.

The method and the device call a preset identification model; then inputting the page screen recording information into the identification model; and further, carrying out recognition processing on the page screen recording information based on the recognition model, and generating the user page operation information corresponding to the target associated page. The method and the device can realize rapid identification processing of the page screen recording information based on the use of the identification model, generate the user page operation information corresponding to the target associated page, and improve the acquisition intelligence and the acquisition efficiency of the user page operation information.

In some optional implementations of this embodiment, after step S206, the electronic device may further perform the following steps:

and generating fault alarm information corresponding to the fault reason.

In this embodiment, a preset fault alarm information template may be obtained, and then the fault cause is filled into a corresponding position of the fault alarm information template to generate the fault alarm information. The content of the fault alarm information template is not particularly limited, and the fault alarm information template can be written and generated by relevant developers according to actual service requirements.

And acquiring the communication information of the target user.

In this embodiment, the communication information may include a phone number or a mail address.

In this embodiment, based on the communication information, the fault alarm information is pushed to a phone terminal or a mailbox of the target user.

The application generates the fault alarm information corresponding to the fault reason; then obtaining the communication information of the target user; and based on the communication information, the fault alarm information is pushed to the target user, so that the fault alarm information containing the fault cause corresponding to the page fault event is intelligently sent to related target personnel, the target personnel can repair the page fault event of the target application in time based on the fault alarm information, and the work efficiency and the work experience of the target personnel are improved.

It should be emphasized that, to further ensure the privacy and security of the user operation flow information, the user operation flow information may also be stored in a node of a blockchain.

The blockchain is a novel application mode of computer technologies such as distributed data storage, point-to-point transmission, consensus mechanism, encryption algorithm and the like. The Blockchain (Blockchain), which is essentially a decentralised database, is a string of data blocks that are generated by cryptographic means in association, each data block containing a batch of information of network transactions for verifying the validity of the information (anti-counterfeiting) and generating the next block. The blockchain may include a blockchain underlying platform, a platform product services layer, an application services layer, and the like.

The embodiment of the application can acquire and process the related data based on the artificial intelligence technology. Among these, artificial intelligence (Artificial Intelligence, AI) is the theory, method, technique and application system that uses a digital computer or a digital computer-controlled machine to simulate, extend and extend human intelligence, sense the environment, acquire knowledge and use knowledge to obtain optimal results.

Artificial intelligence infrastructure technologies generally include technologies such as sensors, dedicated artificial intelligence chips, cloud computing, distributed storage, big data processing technologies, operation/interaction systems, mechatronics, and the like. The artificial intelligence software technology mainly comprises a computer vision technology, a robot technology, a biological recognition technology, a voice processing technology, a natural language processing technology, machine learning/deep learning and other directions.

Those skilled in the art will appreciate that implementing all or part of the above described methods may be accomplished by computer readable instructions stored in a computer readable storage medium that, when executed, may comprise the steps of the embodiments of the methods described above. The storage medium may be a nonvolatile storage medium such as a magnetic disk, an optical disk, a Read-Only Memory (ROM), or a random access Memory (Random Access Memory, RAM).

It should be understood that, although the steps in the flowcharts of the figures are shown in order as indicated by the arrows, these steps are not necessarily performed in order as indicated by the arrows. The steps are not strictly limited in order and may be performed in other orders, unless explicitly stated herein. Moreover, at least some of the steps in the flowcharts of the figures may include a plurality of sub-steps or stages that are not necessarily performed at the same time, but may be performed at different times, the order of their execution not necessarily being sequential, but may be performed in turn or alternately with other steps or at least a portion of the other steps or stages.

With further reference to fig. 3, as an implementation of the method shown in fig. 2 described above, the present application provides an embodiment of a data analysis apparatus, which corresponds to the method embodiment shown in fig. 2, and which is particularly applicable to various electronic devices.

As shown in fig. 3, the data analysis device 300 according to the present embodiment includes: a judging module 301, a first determining module 302, a first obtaining module 303, a second determining module 304, a first generating module 305 and a second generating module 305. Wherein:

a judging module 301, configured to judge whether a page fault event corresponding to a target application is detected;

a first determining module 302, configured to determine, if yes, a target associated page corresponding to the target application; wherein the number of target associated pages includes a plurality of;

a first obtaining module 303, configured to obtain pre-stored target page reporting information corresponding to the target associated page;

a second determining module 304, configured to determine an associated user corresponding to the page fault event;

the first generation module 305 is configured to generate user operation flow information of the associated user for the target associated page based on the target page reporting information;

And a second generating module 306, configured to generate a fault reason corresponding to the page fault event based on the user operation flow information.

In this embodiment, the operations performed by the modules or units respectively correspond to the steps of the data analysis method in the foregoing embodiment one by one, and are not described herein again.

In some alternative implementations of the present embodiment, the first generating module 305 includes:

the first acquisition sub-module is used for acquiring page jump information corresponding to the target associated page from the page report information;

the second acquisition sub-module is used for acquiring target timestamp information corresponding to the target associated page from the page jump information;

and the generation sub-module is used for generating user operation flow information of the associated user for the target associated page based on the target timestamp information.

In some optional implementations of this embodiment, the data analysis device further includes:

the interception module is used for intercepting the page access request based on a preset route interceptor when the page access request corresponding to the target application is received; the request parameters of the page access request at least carry a time stamp;

The second acquisition module is used for acquiring target route information in the page access request and acquiring time stamp information in the page access request;

the third generation module is used for generating corresponding page report information based on the target routing information and the timestamp information;

and the reporting module is used for reporting the page reporting information to a preset information reporting center based on a preset interface.

In some optional implementations of this embodiment, the reporting module includes:

a third obtaining sub-module, configured to obtain a target application identifier of the target application;

the determining submodule is used for determining a target storage data block corresponding to the target application identifier from all storage data blocks contained in the information reporting center based on the target application identifier;

and the reporting sub-module is used for reporting the page reporting information to the target storage data block based on the preset interface.

the screen recording module is used for executing the screen recording processing of the page corresponding to the target application to obtain the screen recording information of the page corresponding to the target application;

the analysis module is used for analyzing the page screen recording information and generating user page operation information corresponding to the target associated page;

and the fourth generation module is used for generating the page reporting information based on the user page operation information.

In some optional implementations of this embodiment, the analysis module includes:

the calling sub-module is used for calling a preset identification model;

the input sub-module is used for inputting the page screen recording information into the identification model;

and the identification sub-module is used for carrying out identification processing on the page screen recording information based on the identification model and generating the user page operation information corresponding to the target associated page.

a fifth generation module, configured to generate fault alarm information corresponding to the fault cause;

the third acquisition module is used for acquiring the communication information of the target user;

and the pushing module is used for pushing the fault alarm information to the target user based on the communication information.

In order to solve the technical problems, the embodiment of the application also provides computer equipment. Referring specifically to fig. 4, fig. 4 is a basic structural block diagram of a computer device according to the present embodiment.

The computer device 4 comprises a memory 41, a processor 42, a network interface 43 communicatively connected to each other via a system bus. It should be noted that only computer device 4 having components 41-43 is shown in the figures, but it should be understood that not all of the illustrated components are required to be implemented and that more or fewer components may be implemented instead. It will be appreciated by those skilled in the art that the computer device herein is a device capable of automatically performing numerical calculations and/or information processing in accordance with predetermined or stored instructions, the hardware of which includes, but is not limited to, microprocessors, application specific integrated circuits (Application Specific Integrated Circuit, ASICs), programmable gate arrays (fields-Programmable Gate Array, FPGAs), digital processors (Digital Signal Processor, DSPs), embedded devices, etc.

The computer equipment can be a desktop computer, a notebook computer, a palm computer, a cloud server and other computing equipment. The computer equipment can perform man-machine interaction with a user through a keyboard, a mouse, a remote controller, a touch pad or voice control equipment and the like.

The memory 41 includes at least one type of readable storage medium including flash memory, hard disk, multimedia card, card memory (e.g., SD or DX memory, etc.), random Access Memory (RAM), static Random Access Memory (SRAM), read Only Memory (ROM), electrically Erasable Programmable Read Only Memory (EEPROM), programmable Read Only Memory (PROM), magnetic memory, magnetic disk, optical disk, etc. In some embodiments, the storage 41 may be an internal storage unit of the computer device 4, such as a hard disk or a memory of the computer device 4. In other embodiments, the memory 41 may also be an external storage device of the computer device 4, such as a plug-in hard disk, a Smart Media Card (SMC), a Secure Digital (SD) Card, a Flash Card (Flash Card) or the like, which are provided on the computer device 4. Of course, the memory 41 may also comprise both an internal memory unit of the computer device 4 and an external memory device. In this embodiment, the memory 41 is typically used to store an operating system and various application software installed on the computer device 4, such as computer readable instructions of a data analysis method. Further, the memory 41 may be used to temporarily store various types of data that have been output or are to be output.

The processor 42 may be a central processing unit (Central Processing Unit, CPU), controller, microcontroller, microprocessor, or other data processing chip in some embodiments. The processor 42 is typically used to control the overall operation of the computer device 4. In this embodiment, the processor 42 is configured to execute computer readable instructions stored in the memory 41 or process data, such as computer readable instructions for executing the data analysis method.

The network interface 43 may comprise a wireless network interface or a wired network interface, which network interface 43 is typically used for establishing a communication connection between the computer device 4 and other electronic devices.

in the embodiment of the application, when a page fault event corresponding to a target application is detected, a target associated page corresponding to the target application is determined first; wherein the number of target associated pages includes a plurality of; then obtaining prestored target page reporting information corresponding to the target associated page; then determining an associated user corresponding to the page fault event; subsequently, based on the information reported by the target page, generating user operation flow information of the associated user on the target associated page; and finally, generating a fault reason corresponding to the page fault event based on the user operation flow information. When the page fault event corresponding to the target application is detected, the embodiment of the application acquires the target page report information corresponding to the target associated page of the target application, and then automatically generates the user operation flow information of the associated user for the target associated page according to the target page report information, so that the fault reason corresponding to the page fault event can be quickly and accurately generated based on the user operation flow information, the efficiency of the investigation and processing of the page fault event is improved, and the accuracy of the generated fault reason of the page fault event is ensured.

The present application also provides another embodiment, namely, a computer-readable storage medium storing computer-readable instructions executable by at least one processor to cause the at least one processor to perform the steps of the data analysis method as described above.

From the above description of the embodiments, it will be clear to those skilled in the art that the above-described embodiment method may be implemented by means of software plus a necessary general hardware platform, but of course may also be implemented by means of hardware, but in many cases the former is a preferred embodiment. Based on such understanding, the technical solution of the present application may be embodied essentially or in a part contributing to the prior art in the form of a software product stored in a storage medium (e.g. ROM/RAM, magnetic disk, optical disk) comprising instructions for causing a terminal device (which may be a mobile phone, a computer, a server, an air conditioner, or a network device, etc.) to perform the method according to the embodiments of the present application.

It is apparent that the above-described embodiments are only some embodiments of the present application, but not all embodiments, and the preferred embodiments of the present application are shown in the drawings, which do not limit the scope of the patent claims. This application may be embodied in many different forms, but rather, embodiments are provided in order to provide a thorough and complete understanding of the present disclosure. Although the application has been described in detail with reference to the foregoing embodiments, it will be apparent to those skilled in the art that modifications may be made to the embodiments described in the foregoing description, or equivalents may be substituted for elements thereof. All equivalent structures made by the content of the specification and the drawings of the application are directly or indirectly applied to other related technical fields, and are also within the scope of the application.

Claims

1. A method of data analysis comprising the steps of:

determining an associated user corresponding to the page fault event;

2. The data analysis method according to claim 1, wherein the step of generating user operation flow information of the associated user for the target associated page based on the target page report information specifically includes:

3. The data analysis method according to claim 1, further comprising, before the step of acquiring the pre-stored target page report information corresponding to the target associated page:

4. The data analysis method according to claim 3, wherein the step of reporting the page report information to a preset information reporting center based on a preset interface specifically includes:

acquiring a target application identifier of the target application;

5. The data analysis method according to claim 1, further comprising, before the step of acquiring the pre-stored target page report information corresponding to the target associated page:

6. The method for analyzing data according to claim 5, wherein the step of analyzing the page screen recording information to generate user page operation information corresponding to the target associated page specifically includes:

calling a preset identification model;

inputting the page screen recording information into the identification model;

7. The data analysis method according to claim 1, characterized by further comprising, after the step of generating a failure cause corresponding to the page fault event based on the user operation flow information:

generating fault alarm information corresponding to the fault cause;

acquiring communication information of a target user;

8. A data analysis device, comprising:

9. A computer device comprising a memory having stored therein computer readable instructions which when executed by a processor implement the steps of the data analysis method of any of claims 1 to 7.

10. A computer readable storage medium having stored thereon computer readable instructions which when executed by a processor perform the steps of the data analysis method according to any of claims 1 to 7.