CN108259421B - Statistical method and system for user activity - Google Patents
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- CN108259421B CN108259421B CN201611240992.0A CN201611240992A CN108259421B CN 108259421 B CN108259421 B CN 108259421B CN 201611240992 A CN201611240992 A CN 201611240992A CN 108259421 B CN108259421 B CN 108259421B
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Abstract
The invention discloses a statistical method and a statistical system for user activity, which are used for acquiring product information and corresponding request information in a user service request process, and storing the corresponding request information and the product information as original information in an associated manner; and acquiring original information, analyzing the original data according to set parameters, and displaying an analysis result. By adopting the method, the original data of the user service request is collected, the data concerned by the operator is analyzed through the original data, the difference of the user in the access area and the service requirement is effectively known, the scale and the dynamic data of the requirement of the user and the service are mastered, the phenomena of abnormal reaction and the like caused by overlarge server pressure can be avoided in time according to the display condition, the timely and stable service is provided for the user, and the favorable data support is provided for the sustainable development of the product.
Description
Technical Field
The invention relates to a statistical method and a statistical system for user activity.
Background
With the continuous enlargement of the planning of each city in China, the increase of newly-built roads and buildings and the increasing frequency of inter-city traffic, the requirements of car owners on real-time positioning, route navigation and peripheral retrieval are gradually increased when the car owners go out; on the other hand, with the rapid increase of the automobile holding capacity, the demand for real-time service information such as traffic road conditions and parking lots is increasing. In order to meet the real-time requirements of car owners, navigation service providers build respective car networking platforms.
The scale of navigation users in the car networking platform is continuously increased, the car networking service is frequently used, and meanwhile, the service requirements of the users in an access area are obviously different. Meanwhile, a large amount of access to the internet of vehicles by users in the same area can generate huge pressure on the platform server, so that the probability of abnormity such as overtime of the server is increased, and the service experience of the users is seriously influenced.
How to dynamically master the scale and the demand of users and services and provide timely and stable Internet of vehicles services for the users becomes a problem to be faced by an Internet of vehicles platform in development.
Disclosure of Invention
In view of the technical drawbacks and disadvantages of the prior art, embodiments of the present invention provide a solution to the above problems or to at least partially solve the problems.
As an aspect of the embodiments of the present invention, the present application provides a statistical method for user activity, where the method includes:
acquiring product information and corresponding request information in a user service request process, wherein the request information comprises at least one of user information and service information;
storing the corresponding request information and the product information as original information in an associated manner;
acquiring original information, and analyzing the original data according to set parameters to generate an analysis result;
and displaying the analysis result.
In one embodiment, the obtaining of the product information and the corresponding request information in the user service request process includes:
the user service request process comprises an authentication process of the server to the user service request, and different request information is obtained at different stages of the authentication process.
In one embodiment, obtaining different request information at different stages of the authentication includes:
when a user sends a service request, acquiring the position information of the user, the service request information of the user, the sending time of the user request and the time when the server receives the request;
when the user identity authentication is abnormal, acquiring the identity identification information and the abnormal type of the user;
when the service verification of the user is abnormal, acquiring the service request information and the abnormal type of the user;
when the server responds to the abnormity, acquiring service request information, response data information and abnormity type of a user;
and when a normal response is received, acquiring service request information, response data information, request forwarding time and response receiving time of the user.
In one embodiment, when the user identity authentication or service authentication is abnormal, the abnormal times within the preset time are recorded, the threshold range which the abnormal times meet is judged, and the access limit of the user is set according to the corresponding threshold range.
In one embodiment, the method comprises:
and acquiring original data in an asynchronous mode, serializing the acquired original data, and transmitting the serialized original data to a distributed file system for storage through a message queue.
In one embodiment, the setting parameters include one or more of new users, active users, user size, user distribution, user viscosity, service types, access amount, access frequency, service performance, and service stability.
In one embodiment, the presenting the analysis results comprises:
providing the summary analysis results in a display system;
and receiving a user instruction, and displaying the detailed information of the corresponding analysis result in a chart form.
In one embodiment, the obtaining of the original information and the analyzing of the original data according to the set parameters to generate the analysis result further comprises,
acquiring original information of a preset time period in a fixed time;
and respectively carrying out statistical analysis on the user information and the service information according to the product information, the region and the time.
As a further aspect of the embodiments of the present invention, there is provided a system for counting user activity, including:
the data collection module is used for acquiring product information and corresponding request information in a user service request process, wherein the request information comprises at least one of user information and service information;
the data storage module is used for storing the product information and the corresponding request information into original data in an associated mode and storing analysis results;
the data analysis module is used for acquiring original information and analyzing the original data according to set parameters;
and the data display module is used for displaying the analysis result.
As a further aspect of the embodiments of the present invention, a service platform for internet of vehicles is provided, where the service platform includes the statistical method for user activity as described in any one of the above embodiments.
The embodiment of the invention at least realizes the following technical effects:
the invention discloses a statistical method and a statistical system for user activity and a vehicle networking service platform, which are used for acquiring product information and corresponding request information in a user service request process, and storing the corresponding request information and the product information as original information in an associated manner; and acquiring original information, analyzing the original data according to set parameters, and displaying an analysis result. By adopting the method, the original data of the user service request is collected, the data concerned by the operator is analyzed through the original data, the difference of the user in the access area and the service requirement is effectively known, the scale and the dynamic data of the requirement of the user and the service are mastered, the phenomena of abnormal reaction and the like caused by overlarge server pressure can be avoided in time according to the display condition, the timely and stable service is provided for the user, and the favorable data support is provided for the sustainable development of the product.
Additional features and advantages of the invention will be set forth in the description which follows, and in part will be obvious from the description, or may be learned by practice of the invention. The objectives and other advantages of the invention will be realized and attained by the structure particularly pointed out in the written description and claims hereof as well as the appended drawings.
The technical solution of the present invention is further described in detail by the accompanying drawings and embodiments.
Drawings
The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate embodiments of the invention and together with the description serve to explain the principles of the invention and not to limit the invention. In the drawings:
FIG. 1 is a flow chart of a statistical method in one embodiment;
FIG. 2 is a flow diagram of a user service request process in one embodiment;
FIG. 3 is a flow chart of a method shown in an embodiment;
FIG. 4 is a flow diagram of an analysis method in one embodiment;
FIG. 5 is a schematic diagram of a system according to an embodiment.
Detailed Description
Exemplary embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. While exemplary embodiments of the present disclosure are shown in the drawings, it should be understood that the present disclosure may be embodied in various forms and should not be limited to the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the scope of the disclosure to those skilled in the art.
The following respectively describes various specific embodiments of a statistical method and a statistical system for user liveness and a service platform of internet of vehicles, which are provided by the embodiment of the present invention.
In one embodiment, a statistical method of user activity is provided, as shown in fig. 1, the method comprising:
s101, product information and corresponding request information in a user service request process are obtained, wherein the request information comprises at least one of user information and service information;
s102, storing the corresponding request information and the product information in an associated mode as original information;
s103, acquiring original information, and analyzing the original data according to set parameters to generate an analysis result;
and S104, displaying the analysis result.
The method is mainly completed by the cooperation of four steps of collection, storage, analysis and display.
In step S101, the obtained data may be obtained through the car networking service platform, or may also be obtained through other manners, where the obtained information at least includes product information and corresponding user information and service information, for example: a product serial number, a user position, a service type, service request time and the like; the acquisition mode can be that data is monitored in real time, and when new data information is monitored, the data information is acquired in real time; or a data interface can be provided for the platform, and the platform actively sends data information to the corresponding interface.
In step S102, the collected data is stored in association with corresponding information by using the product information as an identifier, and the storage may be distributed storage, where the data is transmitted to a data management service and is distributed and stored in each data node by the data management service.
In step S103, stored raw data is acquired, for example: acquiring original data of the previous day regularly after morning every day; analyzing each concern point according to the pre-stored setting parameters, wherein the setting parameters can be user activity, service activity and the like, adjusting the concern points and the corresponding setting parameters according to different requirements, and transmitting the analysis result obtained by analysis back to the data management service, and storing the analysis result in each data node by the data management service in a distributed manner or in other manners.
In step S104, the analysis result is displayed in a form of a website, an APP, or other forms capable of displaying data.
In an embodiment, when a user makes a service request, a server needs to verify the authority of the user, and the authentication process mainly includes identity verification and service verification, as shown in fig. 2, the user service request process includes the steps of:
s201, a user requests service;
s202, performing identity authentication, judging whether the identity authentication is successful, and if so, turning to S203; if not, go to S204;
s203, verifying the service request, judging whether the service request is successfully verified, if so, turning to S205; if not, go to S206;
s204, judging that the user identity is abnormal, and returning a user identity abnormal response;
s205, the service request is successfully verified, and the request forwarding time and the service request are obtained;
s206, judging that the service request is abnormal, and returning a service request abnormal response;
s207, performing service response verification and judging whether the service response verification is successful; if yes, go to S208; if not, go to S209;
s208, judging that the service response is normal, and returning a normal response message;
s209 determines that the service response is abnormal, and returns a service abnormal response.
In the above embodiment, in the step S101, the user service request process includes an authentication process of the server for the user service request, and different request information is obtained at different stages of the authentication process, that is, corresponding information may be obtained in each of the steps.
In one embodiment, different request messages are obtained at different stages of the authentication, and the authentication method is as in the above embodiments, and the obtained messages include:
when the user sends a service request, in step S201, the product series information, the location information of the user, the service request information of the user, the sending time of the user request, and the time when the server receives the request are obtained; the position information of the user can be used for counting the user access amount in a subarea (province and city); the product series information of the user can be used for counting the user visit amount according to the product series; the service type of the user can be used for counting the user access amount by the sub-service; the sending time of the user request and the time of the server receiving the request are used for counting the user access amount in different time periods, and the time difference between the sending and receiving of the request is calculated and used for counting the response condition of the platform to the service request. When the request response time reaches a set threshold value, the current access pressure of the platform is considered to be too large, and if the threshold value is frequently reached, the access entry of the platform can be considered to be improved.
When the user identity authentication is abnormal, in step S204, the identity information and the abnormal type of the user are acquired; the identity information and the abnormal type of the user can be used for counting the utilization efficiency condition of the platform by the user.
When the service verification of the user is abnormal, in step S206, the service request information and the abnormal type of the user are acquired; the service request information and the abnormal type of the user can be used for counting the utilization efficiency condition of the service of the user.
When the server responds to an exception, for example: after the car networking platform forwards the service request to the application service, the car networking platform waits for service response data, if the service is overtime, the service is unavailable and the content of the service response data is abnormal, and in step S209, the service request information, the response data information and the abnormal type of the user are acquired; the service request and the response data information of the user can be used for analyzing the reason of the abnormal service; the service exception type of the user can be used for analyzing the performance and stability of the service; when the service is overtime frequently and the service is unavailable or abnormal, the judgment can be made according to the current service access amount, whether the service belongs to the abnormal service of the third party or the abnormal service caused by the fact that the service request exceeds the service processing capacity, and the suggestion in the aspect of service deployment is provided for the improvement of the Internet of vehicles platform.
When the normal response is received, in step S208, the service request information, the response data information, the request forwarding time, and the response receiving time of the user are acquired. And the service request and response data information of the user is used for counting the utilization condition of the user to the service, wherein the request forwarding time and the response receiving time can be used for counting the response condition of the application service to the service request. When the service processing time reaches a set threshold, the processing pressure of the application service is considered to be too large, and if the threshold is frequently reached, the application service can be considered to be improved, such as adding an application server or forwarding the service to the application service with low processing pressure.
In one embodiment, when the user identity authentication or service authentication is abnormal, the abnormal times within the preset time are recorded, the threshold range which the abnormal times meet is judged, and the access limit of the user is set according to the corresponding threshold range.
In the step S202, when the number of times of user authentication failure in unit time reaches a set threshold, for example, authentication failure 10 times in 5 minutes, the current user may generate a great access pressure on the platform; when the identity authentication fails to trigger n thresholds within m continuous unit time, wherein m and n are both set thresholds of a configuration file, the possibility of malicious access of a user is considered, user information is uploaded to a user temporary blacklist of a security center, and the access to the Internet of vehicles platform is prohibited within a specified time (such as 12 hours);
if the user is forbidden from the temporary blacklist, when the number of times of entering the temporary blacklist within p specified continuous unit times (for example, 3 continuous 5 minutes) reaches q times (for example, 5 times), wherein both p and q are set thresholds of the configuration file, the user can be listed in the permanent blacklist, and the user is forbidden to access the vehicle networking platform.
In step S203, when the number of times of failed authentication of the user service request per unit time reaches a set threshold, the method for assigning access restriction to the user service request may be the same as the access restriction method for identity authentication, where the set thresholds m, n, p, and q may be different.
In one embodiment, storing the corresponding request information in association with product information as original information comprises:
and acquiring original data in an asynchronous mode, serializing the acquired original data, and transmitting the serialized original data to a distributed file system for storage through a message queue.
The original data collection is in an asynchronous mode, for example, data are obtained through a vehicle networking platform, and after the vehicle networking platform uploads the data, a response message does not need to be waited, so that great pressure cannot be generated on the performance of the platform. The processing of acquiring the original data from the message queue can be carried out by deploying a plurality of data collection services at the same time, thereby effectively avoiding the accumulation of the data in the message queue.
Serialization (Serialization) of raw data refers to a process of converting state information of an object into a form capable of being stored or transmitted, and can adopt an Avro format, wherein the Avro is a high-performance middleware based on binary data transmission and storage, and the Avro is dependent on a mode (Schema), and when the Avro data is stored in a file, the mode of the Avro data is stored, so that any program can process the file, and the raw data is stored in binary, thereby facilitating the later extension of a system.
When a service request is received and a service response is sent, original data such as user information, position, service and the like are sent to a message queue communication service by calling a data collection interface; the data collection service monitors a message queue, transmits the received original data to a distributed file system, stores the original data in a Snapsy compression format, and can divide the data file according to the size of 128M so as to facilitate concurrent analysis, wherein Snapsy refers to a library for high-speed compression and decompression of data. Due to the adoption of a storage mode of a distributed cluster mode, along with the long-time operation of the system, data storage service nodes can be added to meet the ever-increasing requirements of original data and analysis result data.
Each data can be provided with a plurality of backups in different data storage service nodes, so that data loss caused by hardware failure is avoided, a standby server can be prepared, service stop caused by single-point failure is prevented, and the stability of storage service and the correctness and integrity of the data are ensured to the greatest extent.
In one embodiment, the setting parameters include one or more of new users, active users, user size, user distribution, user viscosity, service types, access amount, access frequency, service performance, and service stability.
The data required by the setting parameters are preset, the setting parameters are set according to the content required to be displayed, and the setting parameters can be dynamically adjusted according to the requirement.
In one embodiment, in step S104, as shown in fig. 3, the method includes:
s301, providing a summary analysis result in a display system;
s302, receiving a user instruction, and displaying the detailed information of the corresponding analysis result in a chart form.
The analysis result can be displayed in a summary mode (such as a menu), when a user is interested in a certain parameter, the corresponding summary can be clicked, and when the corresponding summary information is clicked, the detailed information is displayed by a chart in a statistical range such as a pie chart and a bar chart.
In the data display module, information such as new users, active users, service access volumes and the like can be displayed in a bar graph mode, and the change trend in a period of time (such as the last 30 days) can be displayed.
In the user statistical information, the user scale of each region or the number of active users in different time periods can be displayed in a pie chart mode for users in different regions, and the users in each province and city across the country can be generally known.
In the service statistical information, the service types and the access amount used by each region and the use frequency of different time periods are displayed in a pie chart mode for the regions, so that the operation states of the services in different time periods can be known.
In one embodiment, in step S103, as shown in fig. 4, further comprising,
s401, acquiring original information of a preset time interval at regular time;
s402, carrying out statistical analysis on the user information according to the product information, the region and the time;
s403, performing statistical analysis on the service information according to the product information, the region and the time.
In step S401, the original data stored in the distributed data system is obtained at regular time, where the time frequency set at regular time may be 1 time per day, such as morning, 2 times per day, or once per 2 days, and the set time for reading the original data may be set according to the need; the preset time period can be set according to the time frequency of reading data, for example, 1 time is read every day, the preset time period of the acquired data is 24 hours, and the data read every time can be data of 1 day or more than 1 day; the data of a plurality of periods may be read respectively, for example, the raw data of a period of one day, one week, one month, etc. may be read respectively each time.
In step S402, the new users, active users, etc. are counted according to product series, region (e.g., province, city), period (e.g., hourly, daily, weekly, monthly, yearly, last 7 days, last 30 days), and references may be provided from the aspects of user size, user distribution, user viscosity, etc.
In step S403, analysis is performed according to product series, region (e.g., province, city), and period (e.g., hourly, daily, weekly, monthly, yearly, previous year), statistics is performed on response time and accuracy of different access volumes of different regions of different services, and the result data is stored in the distributed data system, so that references can be provided for later deployment of services in terms of service performance and service stability.
Based on the same inventive concept, the embodiment of the present invention further provides a system for counting user activity, and because the principle of the problem solved by the system is similar to the method for counting user activity of the foregoing embodiment, the implementation of the system may refer to the implementation of the method of the foregoing embodiment, and repeated details are omitted.
As another aspect of the embodiments of the present invention, there is provided a statistical system of user activity, as shown in fig. 5, including:
the data collection module 11 is configured to obtain product information and corresponding request information in a user service request process, where the request information includes at least one of user information and service information;
the data storage module 12 is used for storing the product information and the corresponding request information into original data in an associated manner, and storing an analysis result;
the data analysis module 13 is used for acquiring original information and analyzing the original data according to set parameters;
and the data display module 14 is used for displaying the analysis result.
The statistical system of the embodiment is divided into four parts, namely a data collection module of the user activity, a data management module of the user activity, a data analysis module of the user activity and a data display module of the user activity; the data collection module is responsible for providing a data collection interface for the Internet of vehicles cloud service platform or directly for a user; the data management module is responsible for storing original data provided by the cloud platform and providing the original data and storing the analyzed result data to the user activity analysis module; the data analysis module is responsible for analyzing the original data of the user activity according to the display requirement; and the data display module can display the user activity and the data statistical information in the system to the user in various modes such as Web and the like.
Based on the same inventive concept, the embodiment of the present invention further provides a car networking service platform, and as the principle of the problem solved by the platform is similar to the statistical method of the user activity of the foregoing embodiment, the implementation of the platform may refer to the implementation of the method of the foregoing embodiment, and repeated details are not repeated.
As a further aspect of the embodiments of the present invention, a service platform for internet of vehicles is provided, where the service platform includes the statistical method for user activity as described in any one of the above embodiments.
The car networking service platform carries out statistical analysis on navigation products and corresponding services through collected vehicle navigation user request data, a service provider can display the analyzed data through a web, and by checking user liveness, user viscosity and service response time of each product counted in the web corresponding to different areas at different times, users of different products at different areas at different times can know user service conditions of the products at different times, and guidance data can be provided for system deployment of the products.
As will be appreciated by one skilled in the art, embodiments of the present invention may be provided as a method, system, or computer program product. Accordingly, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present invention may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, optical storage, and the like) having computer-usable program code embodied therein.
The present invention is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create a system for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including an instruction system which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
It will be apparent to those skilled in the art that various changes and modifications may be made in the present invention without departing from the spirit and scope of the invention. Thus, if such modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include such modifications and variations.
Claims (8)
1. A statistical method for user activity, which is applied to a vehicle networking service platform, is characterized in that the method comprises the following steps:
acquiring product information and corresponding request information in a user service request process, wherein the request information comprises user information and service information; the product information and the corresponding user information and service information include: the product serial number, the position of the user, the service type of the user, the sending time of the user request and the time when the server receives the request;
storing the corresponding request information and the product information as original information in an associated manner;
acquiring original information, respectively carrying out statistical analysis on user information and service information according to product information, regions and time, carrying out statistical analysis on user access quantity in regions through the product information and the positions of the users, carrying out statistical analysis on the user access quantity in service types of the users, carrying out statistical analysis on the user access quantity in time intervals through the sending time of a user request and the time intervals when the server receives the request, carrying out statistical analysis on the response condition of the service request through the sending time of the user request and the time when the server receives the request, carrying out statistical analysis on newly added users and active users according to the product information, the regions and the time intervals, and carrying out statistical analysis on the response time of different access quantities of different regions of different services according to the product information, the regions and the time intervals;
generating an analysis result;
and displaying the analysis result.
2. The method of claim 1, wherein obtaining product information and corresponding request information in a user service request process comprises:
the user service request process comprises an authentication process of the server to the user service request, and different request information is obtained at different stages of the authentication process.
3. The method of claim 2, wherein obtaining different request information at different stages of the authentication comprises:
when a user sends a service request, acquiring the position information of the user, the service request information of the user, the sending time of the user request and the time when the server receives the request;
when the user identity authentication is abnormal, acquiring the identity identification information and the abnormal type of the user;
when the service verification of the user is abnormal, acquiring the service request information and the abnormal type of the user;
when the server responds to the abnormity, acquiring service request information, response data information and abnormity type of a user;
and when a normal response is received, acquiring service request information, response data information, request forwarding time and response receiving time of the user.
4. The method according to claim 3, wherein when the user's identity authentication or service authentication is abnormal, the abnormal times within a preset time are recorded, the threshold range that the abnormal times meet is judged, and the access limit of the user is set according to the corresponding threshold range.
5. The method of claim 1, wherein the method comprises:
acquiring original data in an asynchronous mode;
and serializing the acquired original data, and transmitting the serialized original data to a distributed file system for storage through a message queue.
6. The method of claim 1, wherein said presenting the results of the analysis comprises:
providing the summary analysis results in a display system;
and receiving a user instruction, and displaying the detailed information of the corresponding analysis result in a chart form.
7. The method of any one of claims 1-6, wherein obtaining the original information comprises:
and acquiring original information of a preset time interval at regular time.
8. The utility model provides a statistical system of user's liveness, its is applied to car networking service platform which characterized in that includes:
the data collection module is used for acquiring product information and corresponding request information in a user service request process, wherein the request information comprises user information and service information; the product information and the corresponding user information and service information include: the product serial number, the position of the user, the service type of the user, the sending time of the user request and the time when the server receives the request;
the data storage module is used for storing the product information and the corresponding request information into original data in an associated mode and storing analysis results;
a data analysis module for acquiring original information, respectively performing statistical analysis on user information and service information according to product information, region and time, the user visit volume is statistically analyzed in different areas according to the product information and the position of the user, the user access amount is statistically analyzed by the service type of the user and the service, the user access amount is statistically analyzed by the sending time of the user request and the time interval when the server receives the request, the response condition of the service request is statistically analyzed through the sending time of the user request and the time of the server receiving the request, newly added users and active users are statistically analyzed according to product information, regions and time periods, and the response time of different regions and different access amounts of different services is statistically analyzed according to the product information, the regions and the time periods; generating an analysis result;
and the data display module is used for displaying the analysis result.
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| CN109189993A (en) * | 2018-08-16 | 2019-01-11 | 深圳云安宝科技有限公司 | Big data processing method, device, server and storage medium |
| CN109688094B (en) * | 2018-09-07 | 2022-05-17 | 平安科技（深圳）有限公司 | Suspicious IP configuration method, device, equipment and storage medium based on network security |
| CN110011822A (en) * | 2018-12-19 | 2019-07-12 | 北京乐我无限科技有限责任公司 | Upgrade method, device, management server and the system of Edge Server |
| CN109842627B (en) * | 2019-02-20 | 2021-07-20 | 北京奇艺世纪科技有限公司 | Method and device for determining service request frequency |
| CN111131393B (en) * | 2019-11-25 | 2022-08-16 | 深圳壹账通智能科技有限公司 | User activity data statistical method, electronic device and storage medium |
| CN111177219A (en) * | 2019-12-25 | 2020-05-19 | 哈尔滨工业大学（深圳） | Data exchange platform and data exchange method |
| CN111538881B (en) * | 2020-04-16 | 2024-02-09 | 广东好太太科技集团股份有限公司 | Activity analysis method, equipment and storage medium based on behavior data |
| CN113312321A (en) * | 2021-05-31 | 2021-08-27 | 中国民航信息网络股份有限公司 | Abnormal monitoring method for traffic and related equipment |
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