CN115695196A - Data processing method, system, device, electronic equipment and storage medium - Google Patents
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Abstract
The application provides a data processing method, a system, a device, an electronic device and a storage medium, comprising: acquiring application data of the buried point application, and transmitting the application data to an Internet of things monitoring platform so as to transmit the application data to a server after processing the application data by the Internet of things monitoring platform; acquiring a processing strategy, and adjusting the buried point application according to the processing strategy; and the processing strategy is determined by the server side according to the processed application data in a preset strategy table. The client side and the server side are connected through the Internet of things monitoring platform, data acquisition is carried out on the client side, the Internet of things monitoring platform carries out processing such as rating on application data, the server side determines a processing strategy, the server side carries out adjustment on embedded point application through the processing strategy, tasks such as tuning, error reporting and repairing of the embedded point application are completed, quick response is carried out on reported data, overall processing efficiency is finally improved, and customer experience is improved.
Description
Technical Field
The present application relates to the field of computer technologies, and in particular, to a data processing method, system, apparatus, electronic device, and storage medium.
Background
With the development of internet technology, when data are reported to a point-buried log collection platform or a server side through an Android client or a JAVA background, generally, only a reporting function of data such as behaviors and events can be provided through a point-buried manner, and generally, unified analysis cannot be performed or a reported system problem cannot be quickly responded, and all system problems need to be manually processed, so that the overall processing efficiency is poor, and the customer experience of a terminal is seriously influenced.
Disclosure of Invention
In view of this, the present application provides a data processing method, system, device, electronic device and storage medium, so as to perform fast response on the data reported by the embedded point, quickly determine a corresponding processing policy, and improve the overall processing efficiency.
Based on the above purpose, the present application provides a data processing method, applied to a client, including:
acquiring application data of the embedded point application, and transmitting the application data to an Internet of things monitoring platform so as to transmit the application data to a server after processing the application data by the Internet of things monitoring platform;
acquiring a processing strategy, and adjusting the buried point application according to the processing strategy; the processing policy is determined by the server side according to the application data after processing, and is transmitted to the client side through the internet of things monitoring platform.
In some embodiments, the obtaining application data of the buried point application includes:
and monitoring a defect error generated by the buried point application, responding to the defect error, acquiring an error message of the defect error, and taking the error message as the application data.
In some embodiments, the transmitting the application data to an internet of things monitoring platform so as to transmit the application data to a server after processing the application data by the internet of things monitoring platform includes:
and transmitting the error message to the Internet of things monitoring platform, so that the defect error recorded by the error message is graded through the Internet of things monitoring platform according to a preset defect grading table, a grading result is written into the error message, and the written error message is transmitted to the server side.
In some embodiments, the transmitting the application data to the internet of things monitoring platform includes:
and transmitting the application data to the Internet of things monitoring platform through a message queue telemetry transmission protocol.
In some embodiments, before the obtaining the application data of the buried point application, the method further includes:
and generating a monitor in the client through an activity manager service preset in the client, and performing data monitoring on the embedded point application by using the monitor so as to generate the application data according to the monitored data.
Based on the same concept, the application also provides a data processing method which is applied to a server and comprises the following steps:
acquiring application data of the buried point application of the client, which is transmitted by an Internet of things monitoring platform; the application data is obtained after being processed by the Internet of things monitoring platform;
determining a processing strategy required by the embedded point application of the client based on a preset strategy table according to the processed application data, and transmitting the processing strategy to the Internet of things monitoring platform so as to transmit the processing strategy to the client through the Internet of things monitoring platform.
In some embodiments, the obtaining of the application data of the embedded point application of the client, which is transmitted by the internet of things monitoring platform, includes:
and obtaining the adjusted error message transmitted by the monitoring platform of the internet of things, wherein after the monitoring platform of the internet of things obtains the error message, the monitoring platform of the internet of things ranks the defect errors recorded by the error message according to a preset defect ranking table, writes a ranking result into the error message, and transmits the adjusted error message to the server.
In some embodiments, the determining, based on a preset policy table, a processing policy required by the buried point application of the client includes:
and determining the defect errors recorded by the error message and the rating of the defect errors, and determining the processing strategy of the defect errors in the rating according to the strategy table.
In some embodiments, before the obtaining of the application data of the embedded point application of the client, which is transmitted by the internet of things monitoring platform, the method further includes:
and the system is connected with the Internet of things monitoring platform through a network communication protocol so as to carry out data interaction.
In some embodiments, the application data includes behavioral data;
after the application data of the buried point application of the client, which is transmitted by the internet of things monitoring platform, is obtained, the method further includes:
and generating a behavior data table according to the behavior data, and outputting the behavior data table.
Based on the same concept, the present application also provides a data processing system, comprising:
a client for executing the data processing method applied to the client according to any one of claims 1 to 5;
a server for executing the data processing method applied to the server according to any one of claims 6 to 10;
and the Internet of things monitoring platform is in communication connection with the client and the server and is used for transmitting application data and processing strategies.
In some embodiments, the application data includes an error message, and the internet of things monitoring platform is further configured to:
and grading the defect errors recorded by the error message according to a preset defect rating table, writing a rating result into the error message, and transmitting the written error message to the server.
In some embodiments, the internet of things monitoring platform is further configured to:
the server side is in communication connection with the client side through a message queue telemetry transmission protocol and the server side through a network communication protocol.
Based on the same concept, the application also provides a data processing device, which is applied to a client and comprises:
the transmission module is used for acquiring application data of the buried point application, transmitting the application data to the Internet of things monitoring platform, and transmitting the application data to the server after processing the application data through the Internet of things monitoring platform;
the processing module is used for acquiring a processing strategy and adjusting the embedded point application according to the processing strategy; the processing policy is determined by the server side according to the application data after processing, and is transmitted to the client side through the internet of things monitoring platform.
Based on the same concept, the application also provides a data processing device, which is applied to a server side and comprises:
the receiving module is used for acquiring application data of the embedded point application of the client, which is transmitted by the Internet of things monitoring platform; the application data is obtained after being processed by the Internet of things monitoring platform;
the determining module is used for determining a processing strategy required by the buried point application of the client based on a preset strategy table according to the processed application data, and transmitting the processing strategy to the internet of things monitoring platform so as to transmit the processing strategy to the client through the internet of things monitoring platform.
Based on the same concept, the present application also provides an electronic device, comprising a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the processor executes the program to implement the method according to any one of the above.
Based on the same concept, the present application also provides a non-transitory computer-readable storage medium storing computer instructions for causing the computer to implement the method as described in any one of the above.
From the foregoing, it can be seen that the present application provides a data processing method, system, apparatus, electronic device and storage medium, including: acquiring application data of the buried point application, and transmitting the application data to an Internet of things monitoring platform so as to transmit the application data to a server after processing the application data by the Internet of things monitoring platform; acquiring a processing strategy, and adjusting the buried point application according to the processing strategy; the processing strategy is determined by the server side according to the processed application data in a preset strategy table, and is transmitted to the client side through the Internet of things monitoring platform. According to the method, the client side and the server side are connected through the Internet of things monitoring platform, data acquisition is carried out on the client side, the Internet of things monitoring platform carries out processing such as rating on application data, the server side determines a processing strategy, the server side carries out adjustment on embedded point application through the processing strategy, tasks such as tuning, error reporting and repairing on the embedded point application are completed, quick response is carried out on reported data, the overall processing efficiency is finally improved, and customer experience is improved.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments or related technologies, the drawings needed to be used in the description of the embodiments or related technologies are briefly introduced below, it is obvious that the drawings in the following description are only the embodiments of the present application, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.
Fig. 1 is a schematic flowchart of a data processing method applied to a client according to an embodiment of the present disclosure;
fig. 2 is a schematic flowchart of a data processing method applied to a server according to an embodiment of the present application;
FIG. 3 is a block diagram of a data processing system according to an embodiment of the present application;
fig. 4 is a schematic structural diagram of a data processing apparatus applied to a client according to an embodiment of the present disclosure;
fig. 5 is a schematic structural diagram of a data processing apparatus applied to a server according to an embodiment of the present disclosure;
fig. 6 is a schematic structural diagram of an electronic device according to an embodiment of the present application.
Detailed Description
To make the objects, technical solutions and advantages of the present specification more apparent, the present specification is further described in detail below with reference to the accompanying drawings in combination with specific embodiments.
It is understood that before the technical solutions disclosed in the embodiments of the present application are used, the type, the use range, the use scene, etc. of the personal information related to the present application should be informed to the user and authorized by the user in a proper manner according to the relevant laws and regulations.
For example, in response to receiving an active request from a user, a prompt message is sent to the user to explicitly prompt the user that the requested operation to be performed would require the acquisition and use of personal information to the user. Therefore, the user can select whether to provide personal information to the software or hardware such as electronic equipment, application programs, servers or storage media for executing the operation of the technical scheme according to the prompt information.
As an optional but non-limiting implementation manner, in response to receiving an active request from the user, the manner of sending the prompt information to the user may be, for example, a pop-up window, and the prompt information may be presented in a text manner in the pop-up window. In addition, a selection control for providing personal information to the electronic device by the user's selection of "agreeing" or "disagreeing" can be carried in the pop-up window.
It is understood that the above processes of notifying and obtaining user authorization are merely illustrative and are not intended to limit the implementation of the present application, and other manners of satisfying the relevant laws and regulations may be applied to the implementation of the present application.
It will be appreciated that the data involved in the subject technology, including but not limited to the data itself, the acquisition or use of the data, should comply with the requirements of the corresponding laws and regulations and related regulations.
To make the objects, technical solutions and advantages of the present specification more apparent, the present specification is further described in detail below with reference to the accompanying drawings in combination with specific embodiments.
It should be noted that technical terms or scientific terms used in the embodiments of the present application should have a general meaning as understood by those having ordinary skill in the art to which the present application belongs, unless otherwise defined. The use of "first," "second," and similar terms in the embodiments of the present application do not denote any order, quantity, or importance, but rather the terms are used to distinguish one element from another. The word "comprising" or "comprises", and the like, means that a element, article, or method step that precedes the word, and includes the element, article, or method step that follows the word, and equivalents thereof, does not exclude other elements, articles, or method steps. The terms "connected" or "coupled" and the like are not restricted to physical or mechanical connections, but may include electrical connections, whether direct or indirect. "upper", "lower", "left", "right", and the like are used merely to indicate relative positional relationships, and when the absolute position of the object being described is changed, the relative positional relationships may also be changed accordingly.
As described in the background section, as the development of internet terminal technology enters the information age, data becomes more and more important, data is reasonably recorded, and behaviors of users are legally and reasonably collected, so that indexes such as the activity condition of a product, the product behavior, the user growth and the like can be measured, and the product can be optimized. In the prior art, data collection is generally performed in a point burying manner, which is commonly used for collecting data, and the common point burying manner for reporting data is code point burying, visual point burying, no point burying (full point burying), and the like. However, in the current point burying strategy or point burying scheme, only the collection and report of user data are performed, the statistics of data is only completed at the server, and only the report and statistics of application-occurring or suddenly-occurring defect errors are performed, and the specific processing needs manual judgment and processing. For data information needing quick response, quick response cannot be achieved, so that the overall processing efficiency is poor, and the customer experience of the terminal is seriously influenced.
In combination with the above practical situation, the embodiment of the present application provides a data processing scheme. According to the method, the client side and the server side are connected through the Internet of things monitoring platform, data acquisition is carried out on the client side, the Internet of things monitoring platform carries out processing such as rating on application data, the server side determines a processing strategy, the server side carries out adjustment on embedded point application through the processing strategy, tasks such as tuning, error reporting and repairing on the embedded point application are completed, quick response is carried out on reported data, the overall processing efficiency is finally improved, and customer experience is improved.
Fig. 1 is a schematic flow chart of a data processing method applied to a client according to the present disclosure. The method specifically comprises the following steps:
In this embodiment, the buried point application may be any application program on the client that allows the buried point to perform data acquisition. It can collect data by means of a buried point, so called "buried point", which is a term of data collection field (especially user behavior data collection field) and refers to the related technology and implementation process thereof for capturing, processing and transmitting specific user behavior or event. Such as the user's number of icon clicks, the length of time a video is viewed, etc. Then, the application data is data obtained from the buried point application by means of the buried point, which may be data used by the user for the application (for example, several clicks are performed, a certain page stays for a certain time, an operation performed in the application, and the like); or may be running data (for example, the number of times of calling certain data, memory ratio, data calling rate, etc.) or attribute data (for example, application version data, etc.) of the application itself. And then transmitting the application data to the Internet of things monitoring platform so as to transmit the application data to the server side through the Internet of things monitoring platform. The internet of things monitoring platform is a device or platform for managing and controlling all or part of internet of things terminals in the internet of things or collecting information and for executing a corresponding device management strategy, and may be a cloud internet of things network management platform or a central control hardware device in a specific application scenario. The cloud Internet of things management platform is a technical fusion of an Internet of things platform and cloud computing, can be PaaS software erected on an IaaS layer, is connected downwards and manages all or part of terminal equipment in the Internet of things through a linkage perception layer and an application layer, collects and stores perception data, and provides a standard interface and a common tool module for application development upwards. In some specific application scenarios, for example, a large-scale exhibition site and the like, the system has multiple devices (sound devices, lighting devices, large-scale display screens, spliced screens and the like), and the devices may need to be controlled in a centralized manner, so that centralized management can be performed on the site through the internet of things monitoring platform. In this embodiment, the internet of things monitoring platform can monitor the downstream terminal in real time, and data collection is performed on a specific embedded point application through the embedded point, so that the use condition of the embedded point application by a user or the running condition of the embedded point application by the user is fed back through the collected application data, and finally, the server generates a processing strategy for the embedded point application according to the data.
In some embodiments, the client may generally include an application layer and a transport layer, where the application layer runs a hierarchy for the application and the buried point application runs in the hierarchy. The transport layer is a hierarchy for data transmission, such as IoT DMA (Internet of things direct memory access), which may be a set of native processes running on the client and provides services such as device access, bidirectional communication, device Management, and remote upgrade. Through IoT DMA, long connections (i.e., persistent connections) can be maintained with the IoT (Internet of Things). In order to obtain application data at the client, a listener (or called a listening class) may be generated in the client through an Activity Manager Service (AMS) to perform data listening on the buried point application. In a specific embodiment, the registration of the listener can be completed by reflecting the registration of the iproceseobserver, that is, activityManagerService is indirectly obtained through ActivityMangerNative, and then the iproceseobserver is registered in the service to realize the monitoring of the embedded point application of the client.
Then, in some embodiments, the processing of the application data by the monitoring platform of the internet of things may be screening of the application data, and the data desired by the server may be screened according to a preset requirement table; but also the evaluation of application data (e.g., the rating of events reacting to data, etc.); or other simple processing of the data.
102, acquiring a processing strategy, and adjusting the buried point application according to the processing strategy; the processing policy is determined by searching the server side in a preset policy table according to the processed application data, and is transmitted to the client side through the internet of things monitoring platform.
In this embodiment, the processing policy is feedback information sent by the server according to the application data from the client, for example, if the client provides a processing policy that the user pays more attention to a certain board or a certain commodity when using the embedded point application, the processing policy generated by the server according to the application data may be that the client provides more descriptions or related contents of the board or the commodity; or the application data is bug error information (bug) generated or encountered by a user using a buried point application, such as application crash, unresponsiveness, etc., the processing policy may be a processing scheme for the bug error (such as means policy for hot update repair, version restoration, performance memory optimization, etc.). The processing strategy can correspondingly adjust the embedded point application so as to finish the quick response to the client information.
The processing strategy can be pre-stored in advance by the server, that is, the processing strategy can be set in a preset strategy table, multiple processing strategies for different events can be stored in the strategy table, the corresponding processing strategy can be quickly searched from the strategy table by analyzing application data processed by the internet of things monitoring platform, and the determined processing strategy is transmitted to the client.
From the foregoing, it can be seen that the data processing method applied to the client includes: acquiring application data of the buried point application, and transmitting the application data to an Internet of things monitoring platform so as to transmit the application data to a server after processing the application data by the Internet of things monitoring platform; acquiring a processing strategy, and adjusting the buried point application according to the processing strategy; the processing strategy is determined by the server side according to the processed application data in a preset strategy table, and is transmitted to the client side through the Internet of things monitoring platform. The client side and the server side are connected through the Internet of things monitoring platform, data acquisition is carried out on the client side, the Internet of things monitoring platform carries out processing such as rating on application data, the server side determines a processing strategy, the server side carries out adjustment on embedded point application through the processing strategy, tasks such as tuning, error reporting and repairing of the embedded point application are completed, quick response is carried out on reported data, overall processing efficiency is finally improved, and customer experience is improved.
In some embodiments, the obtaining application data of the buried point application includes: and monitoring a defect error generated by the buried point application, responding to the monitoring of the defect error, acquiring an error message of the defect error, and taking the error message as the application data.
In this embodiment, in order to quickly respond to a bug error (bug) occurring in a buried point application, quick repair of the bug is implemented. The bug error is a bug, and some hidden bugs or problems that are not found in the computer system or program are collectively called bugs (bugs), such as some imperfect places in the game, or sudden encoding errors, program crash, and the like. In this embodiment, a buried point application of the client may be monitored in real time by using the buried point, and when a defect error occurs, an error message of the defect error is obtained in real time, where the error message may be report-type data generated according to a preset rule when the defect error occurs, or may be directly memory data of a corresponding memory storage area when the defect error occurs, and the like, so that the server can know what kind of defect error occurs and can know details of the defect error.
In some embodiments, the transmitting the application data to an internet of things monitoring platform so as to transmit the application data to a server after processing the application data by the internet of things monitoring platform includes: and transmitting the error message to the Internet of things monitoring platform, so that the defect error recorded by the error message is graded through the Internet of things monitoring platform according to a preset defect grading table, a grading result is written into the error message, and the written error message is transmitted to the server side.
In this embodiment, a defect rating table may be preset on the monitoring platform of the internet of things, where the table may record a plurality of defect errors that the buried point application can generate, and record a rating of each defect error, or record a rating standard according to a degree of occurrence of a certain defect error, for example, a crash bug occurs, and if a user directly breaks down as a whole when entering the application, the rating of the crash bug is necessarily high; if a user applies a function after entering the application, the function may be ranked relatively low if the function is a crash bug. When the Internet of things monitoring platform obtains the error message, the defect error can be quickly determined according to the error message, the defect rating table can be utilized to quickly correspond to the defect error, the corresponding rating can be found in the defect rating table according to the specific content of the message, the rating result is written in the error message and then is sent to the server, so that the server can quickly find the corresponding processing strategy according to the defect error type and the rating recorded by the error message.
In some embodiments, the transmitting the application data to the internet of things monitoring platform includes: and transmitting the application data to the Internet of things monitoring platform through a message queue telemetry transmission protocol.
In this embodiment, the Message queue Telemetry Transport protocol is MQTT (Message Queuing Telemetry Transport), which is a "lightweight" communication protocol based on a publish/subscribe (publish/subscribe) mode, and the protocol is constructed on TCP/IP. The MQTT protocol has the greatest advantage of providing real-time reliable message service for connecting remote devices with very little code and limited bandwidth. As an instant messaging protocol with low cost and low bandwidth occupation, the method has wide application in the aspects of Internet of things, small-sized equipment, mobile application and the like. In this embodiment, the MQTT protocol may provide a real-time and reliable message service for connecting a remote device with very few codes and limited bandwidth, and may provide a guarantee for fast transmission of application data.
In some embodiments, before the obtaining the application data of the buried point application, the method further includes: and generating a monitor in the client through an activity manager service preset in the client, and performing data monitoring on the embedded point application by using the monitor so as to generate the application data according to the monitored data.
In this embodiment, in order to quickly monitor and acquire application data, a monitor (or called a monitor class) may be generated in a client through an Activity Manager Service (AMS) to monitor data of a buried point application. In a specific embodiment, the registration of the listener can be completed by reflecting the registration of the iproceseobserver, that is, activityManagerService is indirectly obtained through ActivityMangerNative, and then the iproceseobserver is registered in the service to realize the monitoring of the embedded point application of the client.
It should be noted that the method of the embodiment of the present application may be executed by a single device, such as a computer or a server. The method of the embodiment of the application can also be applied to a distributed scene and is completed by the mutual cooperation of a plurality of devices. In this distributed scenario, one device of the multiple devices may only perform one or more steps of the method of the embodiment of the present application, and the multiple devices interact with each other to complete the method.
It should be noted that the above-mentioned description describes specific embodiments of the present application. Other embodiments are within the scope of the following claims. In some cases, the actions or steps recited in the claims may be performed in a different order than in the embodiments described above and still achieve desirable results. In addition, the processes depicted in the accompanying figures do not necessarily require the particular order shown, or sequential order, to achieve desirable results. In some embodiments, multitasking and parallel processing may also be possible or may be advantageous.
Based on the same concept, corresponding to any of the above embodiments, the present application further provides a data processing method applied to the server, as shown in fig. 2, which is a schematic flow diagram of the data processing method applied to the server provided by the present application. The method specifically comprises the following steps:
In this embodiment, the application data is data obtained from a point burying application in a point burying manner, and may be data used by a user for the application; or may be operation data or attribute data of the application itself. And the client transmits the application data of the buried point application to the server through the connected Internet of things monitoring platform.
In some embodiments, the processing of the application data by the internet of things monitoring platform may be screening of the application data, and the data desired by the server may be screened according to a preset requirement table; the application data can also be evaluated; or other simple processing of the data.
In the embodiment, after the processed application data is obtained, it generally records the original specific event (e.g. a user behavior event or a bug occurring in the program) and the corresponding rating evaluation, for example, a crash bug occurs, if the user directly crashes as a whole when entering the application, the rating of the crash bug is necessarily high; if a user applies a function after entering the application, the function may be ranked relatively low if the function is a crash bug. The processing strategies corresponding to each type of application data at the corresponding evaluation level may be recorded in a preset strategy table, and the processing strategies and the corresponding relations may be written in the server in advance. And then, quickly finding the corresponding processing strategy by using the strategy table, and further transmitting the determined processing strategy to the client.
In a specific embodiment, since the types of the application data may be various, the content recorded in the service or policy table available at the service end may also be specific to various situations, for example, the service for the whole system service: the method comprises the steps of system memory occupation, equipment management, memory cleaning, version updating, local machine information and equipment management; services for buried point applications: the method comprises basic information statistics, user-defined event information statistics, memory occupation, bug reporting and the like. For example, the application data may record system memory occupation information, then perform rating processing on the internet of things monitoring platform (the memory occupation is large, but the level of the memory occupation is only 60% to 70% and the level of the memory occupation is large, and the level of the memory occupation is more than 90%, and the level may be higher), then record processing strategies of events corresponding to the application data at different levels in the policy table, so as to send the corresponding processing strategies to the client, and enable the embedded point application of the client to process according to the corresponding processing strategies. The problems of program bug and the like are similar to those described above, and the corresponding processing strategy of the bug at the level can be determined according to the log level of the bug. In some embodiments, the processing policy may be a hot update repair, version restore, performance memory optimization, or the like.
In some embodiments, the obtaining of the application data of the embedded point application of the client, which is transmitted by the internet of things monitoring platform, includes: and obtaining the adjusted error message transmitted by the monitoring platform of the internet of things, wherein after the monitoring platform of the internet of things obtains the error message, the monitoring platform of the internet of things ranks the defect errors recorded by the error message according to a preset defect ranking table, writes a ranking result into the error message, and transmits the adjusted error message to the server.
In some embodiments, the determining, based on a preset policy table, a processing policy required by the buried point application of the client includes: and determining the defect errors recorded by the error message and the rating of the defect errors, and determining the processing strategy of the defect errors in the rating according to the strategy table.
In some embodiments, before the obtaining the application data of the buried point application of the client, which is transmitted by the monitoring platform of the internet of things, the method further includes: and the system is connected with the Internet of things monitoring platform through a network communication protocol so as to carry out data interaction.
In this embodiment, the Internet of things monitoring platform and the client may interact with each other by using a network communication Protocol, where the network communication Protocol is a TCP/IP Protocol (Transmission Control Protocol/Internet Protocol ), and the TCP/IP Protocol refers to a Protocol cluster capable of implementing information Transmission among a plurality of different networks. The TCP/IP protocol refers not only to two protocols of TCP and IP, but also to a protocol cluster composed of FTP, SMTP, TCP, UDP, IP, etc., and is called TCP/IP protocol only because TCP protocol and IP protocol are most representative among TCP/IP protocols. The Internet of things monitoring platform and the client can transmit network data by utilizing the Internet through the protocol.
In some embodiments, the application data includes behavioral data; after the application data of the embedded point application of the client, which is transmitted through the monitoring platform of the internet of things, is obtained, the method further includes: and generating a behavior data table according to the behavior data, and outputting the behavior data table.
In this embodiment, the behavior data is data recorded with a behavior of the user using the buried point application, and may include a usage habit of the user, an object of interest, and the like. These data are counted and combined with data of other users who are adjacent or similar, such as behavior data of users in a zone, behavior data of users with similar ages, behavior data of users with similar professions or identities (such as pregnant women, students, etc.), and a corresponding behavior data table can be generated. And outputs it. And corresponding salesmen or planners can conduct behavior analysis on the user or the user group according to the behavior data table through the behavior data table, and the salesmen or the planners are helped to make corresponding sales strategies or application layout and recommendation strategies. After the salesperson or the planning staff specifies the corresponding strategy, the strategy can be sent to the client through the Internet of things monitoring platform, so that the embedded point application of the client is adjusted according to the strategy.
The method in the foregoing embodiment corresponds to the data processing method applied to the client in the foregoing embodiment, and the description of the specific contents included in the foregoing steps and the corresponding beneficial effects have been already related in the foregoing embodiment of the data processing method applied to the client, so details are not described in this embodiment again.
It should be noted that the method of the embodiment of the present application may be executed by a single device, such as a computer or a server. The method of the embodiment of the application can also be applied to a distributed scene and is completed by the mutual cooperation of a plurality of devices. In such a distributed scenario, one of the multiple devices may only perform one or more steps of the method of the embodiment, and the multiple devices interact with each other to complete the method.
It should be noted that the above-mentioned description describes specific embodiments of the present application. Other embodiments are within the scope of the following claims. In some cases, the actions or steps recited in the claims may be performed in a different order than in the embodiments described above and still achieve desirable results. In addition, the processes depicted in the accompanying figures do not necessarily require the particular order shown, or sequential order, to achieve desirable results. In some embodiments, multitasking and parallel processing may also be possible or may be advantageous.
Based on the same concept, corresponding to any of the above embodiments, the present application further provides a data processing system, as shown in fig. 3, specifically including:
a client 310, configured to execute the data processing method applied to the client according to any of the above embodiments;
the server 320 is configured to execute the data processing method applied to the server according to any of the embodiments;
and the internet of things monitoring platform 330 is in communication connection with the client 310 and the server 320, and is used for transmitting application data and processing strategies.
In some embodiments, the application data includes an error message, and the internet of things monitoring platform 330 is further configured to:
and grading the defect errors recorded in the error message according to a preset defect grading table, writing a grading result into the error message, and transmitting the written error message to the server 320.
In some embodiments, the internet of things monitoring platform 330 is further configured to:
the server side 320 is connected with the client side 310 in a communication mode through a message queue telemetry transmission protocol and is connected with the server side 320 in a communication mode through a network communication protocol.
The system of the foregoing embodiment is used to implement the corresponding data processing method applied to the client or the server in the foregoing embodiment, and has the beneficial effects of the corresponding method embodiment, which are not described herein again.
Based on the same concept, corresponding to any embodiment method, the application also provides a data processing device applied to the client.
Referring to fig. 4, the data processing apparatus includes:
the transmission module 410 is configured to acquire application data of the buried point application, and transmit the application data to the internet of things monitoring platform, so that the application data is processed by the internet of things monitoring platform and then transmitted to the server.
The processing module 420 is configured to obtain a processing policy, and adjust the embedded point application according to the processing policy; the processing policy is determined by the server side according to the application data after processing, and is transmitted to the client side through the internet of things monitoring platform.
In some embodiments, the transmission module 410 is further configured to:
and monitoring a defect error generated by the buried point application, responding to the defect error, acquiring an error message of the defect error, and taking the error message as the application data.
In some embodiments, the transmission module 410 is further configured to:
and transmitting the error message to the Internet of things monitoring platform, so that the defect error recorded by the error message is graded through the Internet of things monitoring platform according to a preset defect grading table, a grading result is written into the error message, and the written error message is transmitted to the server side.
In some embodiments, the transmission module 410 is further configured to:
and transmitting the application data to the Internet of things monitoring platform through a message queue telemetry transmission protocol.
In some embodiments, the transmission module 410 is further configured to:
and generating a monitor in the client through an activity manager service preset in the client, and performing data monitoring on the buried point application by using the monitor to generate the application data according to the monitored data.
For convenience of description, the above devices are described as being divided into various modules by functions, which are described separately. Of course, the functions of the modules may be implemented in the same software and/or hardware or in multiple software and/or hardware when implementing the embodiments of the present application.
The apparatus in the foregoing embodiment is used to implement the corresponding data processing method applied to the client in the foregoing embodiment, and has the beneficial effects of the corresponding method embodiment, which are not described herein again.
Based on the same concept, corresponding to the method of any embodiment, the application also provides a data processing device applied to the server side.
Referring to fig. 5, the data processing apparatus includes:
a receiving module 510, configured to obtain application data of a buried point application of a client, where the application data is transmitted by a monitoring platform of the internet of things; the application data are obtained after being processed by the Internet of things monitoring platform.
A determining module 520, configured to determine, according to the processed application data, a processing policy required by the embedded point application of the client based on a preset policy table, and transmit the processing policy to the internet of things monitoring platform, so as to transmit the processing policy to the client through the internet of things monitoring platform.
In some embodiments, the application data includes an error message, and the receiving module 510 is further configured to:
and obtaining the adjusted error message transmitted by the monitoring platform of the internet of things, wherein after the monitoring platform of the internet of things obtains the error message, the monitoring platform of the internet of things ranks the defect errors recorded by the error message according to a preset defect ranking table, writes a ranking result into the error message, and transmits the adjusted error message to the server.
In some embodiments, the determining module 520 is further configured to:
and determining the defect errors recorded by the error message and the rating of the defect errors, and determining the processing strategy of the defect errors in the rating according to the strategy table.
In some embodiments, the receiving module 510 is further configured to:
and the system is connected with the Internet of things monitoring platform through a network communication protocol so as to carry out data interaction.
In some embodiments, the application data includes behavioral data;
the receiving module 510 is further configured to:
and generating a behavior data table according to the behavior data, and outputting the behavior data table.
For convenience of description, the above devices are described as being divided into various modules by functions, which are described separately. Of course, the functions of the modules may be implemented in the same or multiple software and/or hardware when implementing the embodiments of the present application.
The apparatus in the foregoing embodiment is used to implement the corresponding data processing method applied to the server in the foregoing embodiment, and has the beneficial effects of the corresponding method embodiment, which are not described herein again.
Based on the same concept, corresponding to any embodiment method, the application also provides an electronic device, which includes a memory, a processor, and a computer program stored on the memory and running on the processor, and when the processor executes the program, the data processing method according to any embodiment is implemented.
Fig. 6 is a schematic diagram illustrating a more specific hardware structure of an electronic device according to this embodiment, where the device may include: a processor 1010, a memory 1020, an input/output interface 1030, a communication interface 1040, and a bus 1050. Wherein the processor 1010, memory 1020, input/output interface 1030, and communication interface 1040 are communicatively coupled to each other within the device via bus 1050.
The processor 1010 may be implemented by a general-purpose CPU (Central Processing Unit), a microprocessor, an Application Specific Integrated Circuit (ASIC), or one or more Integrated circuits, and is configured to execute related programs to implement the technical solutions provided in the embodiments of the present disclosure.
The Memory 1020 may be implemented in the form of a ROM (Read Only Memory), a RAM (Random Access Memory), a static Memory device, a dynamic Memory device, or the like. The memory 1020 may store an operating system and other application programs, and when the technical solutions provided by the embodiments of the present specification are implemented by software or firmware, the relevant program codes are stored in the memory 1020 and called by the processor 1010 for execution.
The input/output interface 1030 is used for connecting an input/output module to input and output information. The input/output module may be configured as a component within the device (not shown) or may be external to the device to provide corresponding functionality. The input devices may include a keyboard, a mouse, a touch screen, a microphone, various sensors, etc., and the output devices may include a display, a speaker, a vibrator, an indicator light, etc.
The communication interface 1040 is used for connecting a communication module (not shown in the drawings) to implement communication interaction between the present apparatus and other apparatuses. The communication module can realize communication in a wired mode (for example, USB, network cable, etc.), and can also realize communication in a wireless mode (for example, mobile network, WIFI, bluetooth, etc.).
It should be noted that although the above-mentioned device only shows the processor 1010, the memory 1020, the input/output interface 1030, the communication interface 1040 and the bus 1050, in a specific implementation, the device may also include other components necessary for normal operation. In addition, those skilled in the art will appreciate that the above-described apparatus may also include only those components necessary to implement the embodiments of the present description, and not necessarily all of the components shown in the figures.
The electronic device of the foregoing embodiment is used to implement the corresponding data processing method in any of the foregoing embodiments, and has the beneficial effects of the corresponding method embodiment, which are not described herein again.
Based on the same concept, corresponding to any of the above-mentioned embodiment methods, the present application also provides a non-transitory computer-readable storage medium storing computer instructions for causing the computer to execute the data processing method according to any of the above-mentioned embodiment.
Computer-readable media for the present embodiments include both non-transitory and non-transitory, removable and non-removable media implemented in any method or technology for storage of information. The information may be computer readable instructions, data structures, modules of a program, or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), static Random Access Memory (SRAM), dynamic Random Access Memory (DRAM), other types of Random Access Memory (RAM), read Only Memory (ROM), electrically Erasable Programmable Read Only Memory (EEPROM), flash memory or other memory technology, compact disc read only memory (CD-ROM), digital Versatile Discs (DVD) or other optical storage, magnetic cassettes, magnetic tape magnetic disk storage or other magnetic storage devices, or any other non-transmission medium that can be used to store information that can be accessed by a computing device.
The computer instructions stored in the storage medium of the foregoing embodiment are used to enable the computer to execute the data processing method according to any one of the foregoing embodiments, and have the beneficial effects of the corresponding method embodiments, which are not described herein again.
Those of ordinary skill in the art will understand that: the discussion of any embodiment above is meant to be exemplary only, and is not intended to intimate that the scope of the disclosure, including the claims, is limited to these examples; within the context of the present application, features from the above embodiments or from different embodiments may also be combined, steps may be implemented in any order, and there are many other variations of the different aspects of the embodiments of the present application as described above, which are not provided in detail for the sake of brevity.
In addition, well-known power/ground connections to Integrated Circuit (IC) chips and other components may or may not be shown in the provided figures for simplicity of illustration and discussion, and so as not to obscure the embodiments of the application. Furthermore, devices may be shown in block diagram form in order to avoid obscuring embodiments of the application, and this also takes into account the fact that specifics with respect to implementation of such block diagram devices are highly dependent upon the platform within which the embodiments of the application are to be implemented (i.e., specifics should be well within purview of one skilled in the art). Where specific details (e.g., circuits) are set forth in order to describe example embodiments of the application, it should be apparent to one skilled in the art that the embodiments of the application can be practiced without, or with variation of, these specific details. Accordingly, the description is to be regarded as illustrative instead of restrictive.
While the present application has been described in conjunction with specific embodiments thereof, many alternatives, modifications, and variations of these embodiments will be apparent to those of ordinary skill in the art in light of the foregoing description. For example, other memory architectures, such as Dynamic RAM (DRAM), may use the discussed embodiments.
The present embodiments are intended to embrace all such alternatives, modifications and variances which fall within the broad scope of the appended claims. Therefore, any omissions, modifications, equivalents, improvements, and the like that may be made without departing from the spirit or scope of the embodiments of the present application are intended to be included within the scope of the claims.
Claims (17)
1. A data processing method is applied to a client and comprises the following steps:
acquiring application data of the embedded point application, and transmitting the application data to an Internet of things monitoring platform so as to transmit the application data to a server after processing the application data by the Internet of things monitoring platform;
acquiring a processing strategy, and adjusting the buried point application according to the processing strategy; the processing policy is determined by the server side according to the application data after processing, and is transmitted to the client side through the internet of things monitoring platform.
2. The method of claim 1, wherein the obtaining application data for the buried point application comprises:
and monitoring a defect error generated by the buried point application, responding to the defect error, acquiring an error message of the defect error, and taking the error message as the application data.
3. The method according to claim 2, wherein the transmitting the application data to an internet of things monitoring platform so as to transmit the application data to a server after processing the application data by the internet of things monitoring platform comprises:
transmitting the error message to the Internet of things monitoring platform, so that the defect error recorded by the error message is graded through the Internet of things monitoring platform according to a preset defect grading table, a grading result is written into the error message, and the written error message is transmitted to the server side.
4. The method of claim 1, wherein transmitting the application data to an internet of things monitoring platform comprises:
and transmitting the application data to the Internet of things monitoring platform through a message queue telemetry transmission protocol.
5. The method of claim 1, wherein prior to obtaining application data for the buried point application, further comprising:
and generating a monitor in the client through an activity manager service preset in the client, and performing data monitoring on the buried point application by using the monitor to generate the application data according to the monitored data.
6. A data processing method is applied to a server and comprises the following steps:
acquiring application data of the buried point application of the client, which is transmitted by an Internet of things monitoring platform; the application data is obtained after being processed by the Internet of things monitoring platform;
determining a processing strategy required by the buried point application of the client based on a preset strategy table according to the processed application data, and transmitting the processing strategy to the Internet of things monitoring platform so as to transmit the processing strategy to the client through the Internet of things monitoring platform.
7. The method according to claim 6, wherein the application data includes an error message, and the obtaining the application data of the embedded point application of the client, which is transmitted through the monitoring platform of the internet of things, includes:
and obtaining the adjusted error message transmitted by the monitoring platform of the internet of things, wherein after the monitoring platform of the internet of things obtains the error message, the monitoring platform of the internet of things ranks the defect errors recorded by the error message according to a preset defect ranking table, writes a ranking result into the error message, and transmits the adjusted error message to the server.
8. The method of claim 7, wherein determining the processing policy required by the fixed point application of the client based on a preset policy table comprises:
and determining the defect errors recorded by the error message and the rating of the defect errors, and determining the processing strategy of the defect errors in the rating according to the strategy table.
9. The method according to claim 6, wherein before the obtaining the application data of the embedded point application of the client transmitted by the monitoring platform of the internet of things, the method further comprises:
and the system is connected with the Internet of things monitoring platform through a network communication protocol so as to carry out data interaction.
10. The method of claim 6, wherein the application data comprises behavioral data;
after the application data of the buried point application of the client, which is transmitted by the internet of things monitoring platform, is obtained, the method further includes:
and generating a behavior data table according to the behavior data, and outputting the behavior data table.
11. A data processing system, comprising:
a client for executing the data processing method applied to the client according to any one of claims 1 to 5;
a server for executing the data processing method applied to the server according to any one of claims 6 to 10;
and the Internet of things monitoring platform is in communication connection with the client and the server and is used for transmitting application data and processing strategies.
12. The system of claim 11, wherein the application data includes an error message, and wherein the internet of things monitoring platform is further configured to:
and grading the defect errors recorded by the error message according to a preset defect rating table, writing a rating result into the error message, and transmitting the written error message to the server.
13. The system of claim 11, wherein the internet of things monitoring platform is further configured to:
the server side is in communication connection with the client side through a message queue telemetry transmission protocol and the server side through a network communication protocol.
14. A data processing device applied to a client side comprises:
the transmission module is used for acquiring application data of the buried point application, transmitting the application data to the Internet of things monitoring platform, and transmitting the application data to the server after processing the application data through the Internet of things monitoring platform;
the processing module is used for acquiring a processing strategy and adjusting the embedded point application according to the processing strategy; the processing policy is determined by the server side according to the application data after processing, and is transmitted to the client side through the internet of things monitoring platform.
15. A data processing device, applied to a server, includes:
the receiving module is used for acquiring application data of the embedded point application of the client, which is transmitted by the Internet of things monitoring platform; the application data are obtained after being processed by the Internet of things monitoring platform;
the determining module is used for determining a processing strategy required by the buried point application of the client based on a preset strategy table according to the processed application data, and transmitting the processing strategy to the internet of things monitoring platform so as to transmit the processing strategy to the client through the internet of things monitoring platform.
16. An electronic device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, characterized in that the processor implements the method according to any of claims 1 to 10 when executing the program.
17. A non-transitory computer-readable storage medium storing computer instructions for causing a computer to implement the method of any one of claims 1 to 10.
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