CN113274722A - Online game platform detection method and device based on big data - Google Patents
Online game platform detection method and device based on big data Download PDFInfo
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- CN113274722A CN113274722A CN202011326324.6A CN202011326324A CN113274722A CN 113274722 A CN113274722 A CN 113274722A CN 202011326324 A CN202011326324 A CN 202011326324A CN 113274722 A CN113274722 A CN 113274722A
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F11/00—Error detection; Error correction; Monitoring
- G06F11/22—Detection or location of defective computer hardware by testing during standby operation or during idle time, e.g. start-up testing
- G06F11/2273—Test methods
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- A—HUMAN NECESSITIES
- A63—SPORTS; GAMES; AMUSEMENTS
- A63F—CARD, BOARD, OR ROULETTE GAMES; INDOOR GAMES USING SMALL MOVING PLAYING BODIES; VIDEO GAMES; GAMES NOT OTHERWISE PROVIDED FOR
- A63F13/00—Video games, i.e. games using an electronically generated display having two or more dimensions
- A63F13/30—Interconnection arrangements between game servers and game devices; Interconnection arrangements between game devices; Interconnection arrangements between game servers
- A63F13/35—Details of game servers
- A63F13/352—Details of game servers involving special game server arrangements, e.g. regional servers connected to a national server or a plurality of servers managing partitions of the game world
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- Information Transfer Between Computers (AREA)
Abstract
The method and the device for detecting the online game platform based on the big data provided by the invention firstly obtain first game response information of a game client in a first game network, secondly obtain second game response information of the game client in a second game network corresponding to the online game platform, wherein the second game response information is matched with the first game response information, and then the online game platform is subjected to offline detection according to the first game response information and the second game response information. Therefore, the normal and stable operation of the network game platform can be ensured by carrying out the offline detection on the network game platform.
Description
Technical Field
The invention relates to the technical field of online games, in particular to a method and a device for detecting an online game platform based on big data.
Background
With the development of the internet, online games are favored by various users. However, normal and stable operation of network game platforms has long been a concern.
Disclosure of Invention
In order to solve the problems, the invention provides a method and a device for detecting a network game platform based on big data.
A big data-based online game platform detection method comprises the following steps:
obtaining first game response information of a game client in a first game network;
obtaining second game response information of the game client in a second game network corresponding to a network game platform, wherein the second game response information is matched with the first game response information;
and performing disconnection detection on the network game platform according to the first game response information and the second game response information.
Further, the obtaining the first game response information of the game client in the first game network includes: obtaining first dynamic game response information of a game client in a first game network; the obtaining second game response information of the game client in a second game network corresponding to the network game platform includes: obtaining second dynamic game response information of the game client in a second game network corresponding to the network game platform; the detecting the disconnection of the network game platform according to the first game response information and the second game response information comprises: and performing disconnection detection on the online game platform according to the first dynamic game response information and the second dynamic game response information.
Further, the performing disconnection detection on the online game platform according to the first dynamic game response information and the second dynamic game response information includes: acquiring feature categories of at least two information features on the first dynamic game response information; obtaining feedback information types of at least two pieces of user information on the second dynamic game response information; and performing offline detection on the online game platform according to the feature types of the at least two information features, the feedback information types of the at least two pieces of user information and the state detection model corresponding to the second dynamic game response information.
A big data-based online game platform detection device comprises:
the first information acquisition module is used for acquiring first game response information of the game client in a first game network;
a second information obtaining module, configured to obtain second game response information of the game client in a second game network corresponding to a network game platform, where the second game response information is matched with the first game response information;
and the game disconnection detection module is used for performing disconnection detection on the network game platform according to the first game response information and the second game response information.
By applying the method and the device, first game response information of a game client in a first game network is obtained firstly, second game response information of the game client in a second game network corresponding to a network game platform is obtained secondly, the second game response information is matched with the first game response information, and then the network game platform is subjected to offline detection according to the first game response information and the second game response information. Therefore, the normal and stable operation of the network game platform can be ensured by carrying out the offline detection on the network game platform.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings needed to be used in the embodiments will be briefly described below, it should be understood that the following drawings only illustrate some embodiments of the present invention and therefore should not be considered as limiting the scope, and for those skilled in the art, other related drawings can be obtained according to the drawings without inventive efforts.
Fig. 1 is a flowchart of a big data-based online game platform detection method according to an embodiment of the present invention.
Fig. 2 is a functional block diagram of a big data-based online game platform detection apparatus according to an embodiment of the present invention.
Fig. 3 is a schematic diagram of a hardware structure of a server according to an embodiment of the present invention.
Detailed Description
In order to better understand the technical solutions of the present invention, the following detailed descriptions of the technical solutions of the present invention are provided with the accompanying drawings and the specific embodiments, and it should be understood that the specific features in the embodiments and the examples of the present invention are the detailed descriptions of the technical solutions of the present invention, and are not limitations of the technical solutions of the present invention, and the technical features in the embodiments and the examples of the present invention may be combined with each other without conflict.
Referring to fig. 1, a big data based network game platform detection method applied to a server is shown, including the following steps S11-S13.
Step S11, obtaining first game response information of the game client in the first game network.
Step S12, obtaining second game response information of the game client in a second game network corresponding to the network game platform, where the second game response information matches with the first game response information.
And step S13, performing disconnection detection on the online game platform according to the first game response information and the second game response information.
By applying the above steps S11-S13, first game response information of a game client in a first game network is obtained, second game response information of the game client in a second game network corresponding to a network game platform is obtained, the second game response information matches with the first game response information, and then a drop detection is performed on the network game platform according to the first game response information and the second game response information. Therefore, the normal and stable operation of the network game platform can be ensured by carrying out the offline detection on the network game platform.
Further, the obtaining the first game response information of the game client in the first game network includes: obtaining first dynamic game response information of a game client in a first game network; the obtaining second game response information of the game client in a second game network corresponding to the network game platform includes: obtaining second dynamic game response information of the game client in a second game network corresponding to the network game platform; the detecting the disconnection of the network game platform according to the first game response information and the second game response information comprises: and performing disconnection detection on the online game platform according to the first dynamic game response information and the second dynamic game response information.
Further, the performing disconnection detection on the online game platform according to the first dynamic game response information and the second dynamic game response information includes: acquiring feature categories of at least two information features on the first dynamic game response information; obtaining feedback information types of at least two pieces of user information on the second dynamic game response information; and performing offline detection on the online game platform according to the feature types of the at least two information features, the feedback information types of the at least two pieces of user information and the state detection model corresponding to the second dynamic game response information.
As shown in fig. 2, there is provided a big data based network game platform detection apparatus 200, including:
a first information obtaining module 210, configured to obtain first game response information of a game client in a first game network;
a second information obtaining module 220, configured to obtain second game response information of the game client in a second game network corresponding to a network game platform, where the second game response information is matched with the first game response information;
and a game drop detection module 230, configured to perform drop detection on the online game platform according to the first game response information and the second game response information.
Referring to fig. 3, a hardware block diagram of the server 110 is provided.
Fig. 3 is a block diagram illustrating a server 110 according to an embodiment of the present invention. The server 110 in the embodiment of the present invention may be a server with data storage, transmission, and processing functions, as shown in fig. 3, the server 110 includes: memory 111, processor 112, network module 113 and big data based network game platform detection device 200.
The memory 111, the processor 112, and the network module 113 are electrically connected directly or indirectly to enable transmission or interaction of data. For example, the components may be electrically connected to each other via one or more communication buses or signal lines. The memory 111 stores therein the big data based network game platform detection apparatus 200, the big data based network game platform detection apparatus 200 includes at least one software function module that can be stored in the memory 111 in the form of software or firmware (firmware), and the processor 112 executes various function applications and data processing by running software programs and modules stored in the memory 111, such as the big data based network game platform detection apparatus 200 in the embodiment of the present invention, so as to implement the big data based network game platform detection method in the embodiment of the present invention.
The Memory 111 may be, but is not limited to, a Random Access Memory (RAM), a Read Only Memory (ROM), a Programmable Read-Only Memory (PROM), an Erasable Read-Only Memory (EPROM), an electrically Erasable Read-Only Memory (EEPROM), and the like. The memory 111 is used for storing a program, and the processor 112 executes the program after receiving the execution instruction.
The processor 112 may be an integrated circuit chip having data processing capabilities. The Processor 112 may be a general-purpose Processor including a Central Processing Unit (CPU), a Network Processor (NP), and the like. The various methods, steps and logic blocks disclosed in embodiments of the present invention may be implemented or performed. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like.
The network module 113 is used for establishing communication connection between the server 110 and other communication terminal devices through a network, and implementing transceiving operation of network signals and data. The network signal may include a wireless signal or a wired signal.
It will be appreciated that the configuration shown in fig. 3 is merely illustrative and that server 110 may include more or fewer components than shown in fig. 3 or have a different configuration than shown in fig. 3. The components shown in fig. 3 may be implemented in hardware, software, or a combination thereof.
An embodiment of the present invention also provides a computer-readable storage medium, which includes a computer program. The computer program controls the server 110 on which the readable storage medium is executed to perform the above-mentioned method.
In the embodiments provided in the present invention, it should be understood that the disclosed apparatus and method can be implemented in other ways. The apparatus and method embodiments described above are illustrative only, as the flowcharts and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of apparatus, methods and computer program products according to various embodiments of the present invention. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
In addition, the functional modules in the embodiments of the present invention may be integrated together to form an independent part, or each module may exist separately, or two or more modules may be integrated to form an independent part.
The functions, if implemented in the form of software functional modules and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present invention may be embodied in the form of a software product, which is stored in a storage medium and includes several instructions for causing a computer device (which may be a personal computer, a server 100, or a network device) to execute all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and other various media capable of storing program codes. It should be noted that, in this document, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other identical elements in a process, method, article, or apparatus that comprises the element.
The above are merely examples of the present application and are not intended to limit the present application. Various modifications and changes may occur to those skilled in the art. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application should be included in the scope of the claims of the present application.
Claims (4)
1. A big data-based online game platform detection method is characterized by comprising the following steps:
obtaining first game response information of a game client in a first game network;
obtaining second game response information of the game client in a second game network corresponding to a network game platform, wherein the second game response information is matched with the first game response information;
and performing disconnection detection on the network game platform according to the first game response information and the second game response information.
2. The method of claim 1, wherein obtaining the first game response information of the game client in the first game network comprises: obtaining first dynamic game response information of a game client in a first game network; the obtaining second game response information of the game client in a second game network corresponding to the network game platform includes: obtaining second dynamic game response information of the game client in a second game network corresponding to the network game platform; the detecting the disconnection of the network game platform according to the first game response information and the second game response information comprises: and performing disconnection detection on the online game platform according to the first dynamic game response information and the second dynamic game response information.
3. The method according to claim 2, wherein the performing a drop detection on the network game platform according to the first dynamic game response message and the second dynamic game response message comprises: acquiring feature categories of at least two information features on the first dynamic game response information; obtaining feedback information types of at least two pieces of user information on the second dynamic game response information; and performing offline detection on the online game platform according to the feature types of the at least two information features, the feedback information types of the at least two pieces of user information and the state detection model corresponding to the second dynamic game response information.
4. A big data-based online game platform detection device is characterized by comprising:
the first information acquisition module is used for acquiring first game response information of the game client in a first game network;
a second information obtaining module, configured to obtain second game response information of the game client in a second game network corresponding to a network game platform, where the second game response information is matched with the first game response information;
and the game disconnection detection module is used for performing disconnection detection on the network game platform according to the first game response information and the second game response information.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202011326324.6A CN113274722A (en) | 2020-11-24 | 2020-11-24 | Online game platform detection method and device based on big data |
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| Application Number | Priority Date | Filing Date | Title |
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| CN202011326324.6A CN113274722A (en) | 2020-11-24 | 2020-11-24 | Online game platform detection method and device based on big data |
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Citations (4)
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| CN104376012A (en) * | 2013-08-14 | 2015-02-25 | 腾讯科技（深圳）有限公司 | Web page application reconnection method, web page application reconnection device and web page application reconnection system |
| CN107026766A (en) * | 2016-02-02 | 2017-08-08 | ***通信集团河北有限公司 | A kind of assessment detection method and device of network quality |
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| CN111841015A (en) * | 2020-07-29 | 2020-10-30 | 北京字节跳动网络技术有限公司 | Game hall interaction method, device, equipment and system based on state machine |
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2020
- 2020-11-24 CN CN202011326324.6A patent/CN113274722A/en not_active Withdrawn
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| CN104376012A (en) * | 2013-08-14 | 2015-02-25 | 腾讯科技（深圳）有限公司 | Web page application reconnection method, web page application reconnection device and web page application reconnection system |
| CN107026766A (en) * | 2016-02-02 | 2017-08-08 | ***通信集团河北有限公司 | A kind of assessment detection method and device of network quality |
| CN107222474A (en) * | 2017-05-26 | 2017-09-29 | 合肥泽诺信息科技有限公司 | A kind of system with synchronized update online game abnormal data function |
| CN111841015A (en) * | 2020-07-29 | 2020-10-30 | 北京字节跳动网络技术有限公司 | Game hall interaction method, device, equipment and system based on state machine |
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Application publication date: 20210820 |