CN108014500B - Attribute exception discovery method and device - Google Patents

Attribute exception discovery method and device Download PDF

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Publication number
CN108014500B
CN108014500B CN201711288295.7A CN201711288295A CN108014500B CN 108014500 B CN108014500 B CN 108014500B CN 201711288295 A CN201711288295 A CN 201711288295A CN 108014500 B CN108014500 B CN 108014500B
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current
attribute
type
system type
type information
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CN108014500A (en
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张明阳
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Beijing Pixel Software Technology Co Ltd
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Beijing Pixel Software Technology Co Ltd
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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
    • A63F13/70—Game security or game management aspects
    • A63F13/75—Enforcing rules, e.g. detecting foul play or generating lists of cheating players
    • 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
    • A63F13/70—Game security or game management aspects
    • A63F13/79—Game security or game management aspects involving player-related data, e.g. identities, accounts, preferences or play histories
    • 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
    • A63F13/80—Special adaptations for executing a specific game genre or game mode
    • A63F13/822—Strategy games; Role-playing games
    • 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
    • A63F2300/00—Features of games using an electronically generated display having two or more dimensions, e.g. on a television screen, showing representations related to the game
    • A63F2300/50—Features of games using an electronically generated display having two or more dimensions, e.g. on a television screen, showing representations related to the game characterized by details of game servers
    • A63F2300/53—Features of games using an electronically generated display having two or more dimensions, e.g. on a television screen, showing representations related to the game characterized by details of game servers details of basic data processing
    • A63F2300/535—Features of games using an electronically generated display having two or more dimensions, e.g. on a television screen, showing representations related to the game characterized by details of game servers details of basic data processing for monitoring, e.g. of user parameters, terminal parameters, application parameters, network parameters
    • 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
    • A63F2300/00—Features of games using an electronically generated display having two or more dimensions, e.g. on a television screen, showing representations related to the game
    • A63F2300/50—Features of games using an electronically generated display having two or more dimensions, e.g. on a television screen, showing representations related to the game characterized by details of game servers
    • A63F2300/55—Details of game data or player data management
    • A63F2300/5586—Details of game data or player data management for enforcing rights or rules, e.g. to prevent foul play

Abstract

The invention provides an attribute abnormality discovery method and device. The method is applied to a server, and a data table is stored in the server and comprises the system type of the changeable attribute of the current game and the corresponding standard times. The method comprises the following steps: acquiring current type information, wherein the current type information comprises a system type of changeable attributes of a current game and corresponding current times; comparing the standard times of the same system type with the current times; and when the current times of the same system type is greater than the standard times, judging that the system type is abnormal and the corresponding attribute is abnormal. Therefore, when the attribute is abnormal and the game balance is influenced, the attribute abnormality can be timely found, and the abnormal system type can be positioned so as to timely solve the abnormal condition of the attribute.

Description

Attribute exception discovery method and device
Technical Field
The invention relates to the technical field of computer networks, in particular to a method and a device for discovering attribute abnormity.
Background
In a Massively Multiplayer Online Role Playing Game (MMORPG), there are many systems for players to promote attributes, such as basic attributes, attribute bonus, equipment, pet riding, pet waiting, and so on. In some special cases (e.g., a game logic error), an attribute exception may occur, such as, for example, a situation where the attribute given to the player is increased, decreased, etc.
For the above situation, if the player does not actively report the method and manner of the specific logic error, it is difficult to determine whether the attribute abnormality occurs. Meanwhile, when the attribute abnormality is determined, only the trial positioning can be performed, and a system causing the attribute abnormality cannot be quickly obtained.
Disclosure of Invention
In order to overcome the above-mentioned deficiencies in the prior art, the present invention provides a method and a device for discovering an attribute anomaly, which can discover an attribute anomaly in time when the attribute anomaly affects game balance, and can directly locate an abnormal system type to facilitate solving the attribute anomaly in time, thereby reducing the workload of developers for locating the abnormal system type.
The embodiment of the invention provides an attribute abnormity discovery method which is applied to a server, wherein a data table is stored in the server, the data table comprises the system type of the current game with changeable attributes and the corresponding standard times, and the method comprises the following steps:
acquiring current type information, wherein the current type information comprises a system type of changeable attributes of a current game and corresponding current times;
comparing the standard times of the same system type with the current times;
and when the current times of the same system type is greater than the standard times, judging that the system type is abnormal and the corresponding attribute is abnormal.
The embodiment of the present invention further provides an attribute anomaly discovery device, which is applied to a server, wherein a data table is stored in the server, the data table includes a system type of a current game, the attribute of which can be changed, and a corresponding standard number of times, and the device includes:
the system comprises an acquisition module, a storage module and a processing module, wherein the acquisition module is used for acquiring current type information, and the current type information comprises a system type of changeable attributes of a current game and corresponding current times;
the comparison module is used for comparing the standard times of the same system type with the current times;
and the judging module is used for judging the system type abnormality and the corresponding attribute abnormality when the current times of the same system type is greater than the standard times.
Compared with the prior art, the invention has the following beneficial effects:
the embodiment of the invention provides a method and a device for discovering attribute abnormity. The method is applied to the server. The server stores a data table, and the data table comprises the system type of the changeable attributes of the current game and the corresponding standard times. The method comprises the steps of obtaining system types of changeable attributes of current games and current type information of corresponding current times, and comparing standard times of the same system types with the current times. And when the current times of the same system type is greater than the standard times, judging that the system type is abnormal and the corresponding attribute is abnormal. Therefore, when the attribute is abnormal and the game balance is influenced, the attribute abnormality can be timely found; and the abnormal system type can be directly positioned, so that specific problems can be conveniently found, the abnormal condition of the attribute can be solved in time, and the workload of developers for positioning the abnormal system type is reduced.
In order to make the aforementioned and other objects, features and advantages of the present invention comprehensible, preferred embodiments accompanied with figures are described in detail below.
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 block diagram of a server according to an embodiment of the present invention.
Fig. 2 is a flowchart of an attribute abnormality discovery method according to an embodiment of the present invention.
Fig. 3 is a flowchart illustrating sub-steps included in step S120 in fig. 2.
Fig. 4 is a second flowchart of the attribute abnormality discovery method according to the embodiment of the present invention.
Fig. 5 is a third schematic flowchart of an attribute abnormality discovery method according to an embodiment of the present invention.
Fig. 6 is a block diagram illustrating an attribute abnormality discovery apparatus according to an embodiment of the present invention.
Icon: 100-a server; 110-a memory; 120-a memory controller; 130-a processor; 200-attribute anomaly discovery means; 220-an acquisition module; 230-a comparison module; 240-a decision module; 250-alarm module.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. The components of embodiments of the present invention generally described and illustrated in the figures herein may be arranged and designed in a wide variety of different configurations. Thus, the following detailed description of the embodiments of the present invention, presented in the figures, is not intended to limit the scope of the invention, as claimed, but is merely representative of selected embodiments of the invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments of the present invention without making any creative effort, shall fall within the protection scope of the present invention.
It should be noted that: like reference numbers and letters refer to like items in the following figures, and thus, once an item is defined in one figure, it need not be further defined and explained in subsequent figures. Meanwhile, in the description of the present invention, the terms "first", "second", and the like are used only for distinguishing the description, and are not to be construed as indicating or implying relative importance.
Some embodiments of the invention are described in detail below with reference to the accompanying drawings. The embodiments described below and the features of the embodiments can be combined with each other without conflict.
Referring to fig. 1, fig. 1 is a block diagram of a server 100 according to an embodiment of the present invention. The server 100 may be a stand-alone server or a cluster server. The server 100 includes: memory 110, memory controller 120, processor 130, and attribute exception discovery apparatus 200.
The elements of the memory 110, the memory controller 120 and the processor 130 are electrically connected directly or indirectly to realize data transmission or interaction. For example, the components may be electrically connected to each other via one or more communication buses or signal lines. The memory 110 stores therein an attribute exception discovery apparatus 200, and the attribute exception discovery apparatus 200 includes at least one software functional module which can be stored in the memory 110 in the form of software or firmware (firmware). The processor 130 executes various functional applications and data processing by running software programs and modules stored in the memory 110, such as the attribute abnormality discovery apparatus 200 in the embodiment of the present invention, so as to implement the attribute abnormality discovery method in the embodiment of the present invention.
The Memory 110 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 110 is used for storing a program, and the processor 130 executes the program after receiving the execution instruction. Access to the memory 110 by the processor 130 and possibly other components may be under the control of the memory controller 120.
The processor 130 may be an integrated circuit chip having signal processing capabilities. The Processor 130 may be a general-purpose Processor including a Central Processing Unit (CPU), a Network Processor (NP), and the like. But may also be a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), a Field Programmable Gate Array (FPGA) or other programmable logic device, discrete gate or transistor logic device, discrete hardware components. The various methods, steps and logic blocks disclosed in the 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 server 100 may further include a network unit, which is configured to implement communication connection and data transmission between the server 100 and other external devices through a network.
It will be appreciated that the configuration shown in fig. 1 is merely illustrative and that server 100 may include more or fewer components than shown in fig. 1 or have a different configuration than shown in fig. 1. The components shown in fig. 1 may be implemented in hardware, software, or a combination thereof.
Referring to fig. 2, fig. 2 is a flowchart illustrating an attribute anomaly detection method according to an embodiment of the present invention. The method is applied to the server 100. The server 100 stores therein a data table including the system types of changeable attributes of the current game and the corresponding standard times. The following describes a specific flow of the attribute anomaly detection method in detail.
Step S120, current type information is acquired.
In this embodiment, the current type information includes the system type of the changeable attribute of the current game and the corresponding current number of times.
Referring to fig. 3, fig. 3 is a flowchart illustrating sub-steps included in step S120 in fig. 2. Step S120 may include substep S122, substep S123, and substep S124.
And a substep S122 of obtaining the initial type information, and obtaining the update time of the system type corresponding to the changed attribute in the initial type information when the attribute is changed.
And a substep S123 of judging whether the current change and the last change occur in the same frame according to the updating time.
In this embodiment, the initial type information includes a system type and a current number of times that an attribute can be changed in the current game after the last attribute change. Further, the initial type information may further include a system type and an update time corresponding to the last attribute change. Wherein the update time may be represented by a frame number. And when the attribute changes again, judging whether the current change and the last change occur in the same frame according to the updating time of the system type corresponding to the current change and the current time.
One system type may change a variety of attributes. The initial type information includes the relationship between the system type and the current times, so that if the current change and the last change are of the same type and occur in the same frame, the current times corresponding to the system type is changed only once. That is, when the current change and the last change occur in the same frame, the initial type information is not updated any more.
And a substep S124, updating the initial type information according to the current attribute change to obtain the current type information when the current change and the last change do not occur in the same frame.
In this embodiment, if the current change and the last change do not occur in the same frame, the current number of times of the system type corresponding to the changed attribute in the initial type information is updated according to the current attribute change.
In an implementation manner of this embodiment, the initial type information may be updated to obtain the current type information in the following manner. The initial type information corresponds to the system type of the changeable attribute after the attribute is changed last time and the corresponding current times, the current type information corresponds to the system type of the changeable attribute after the attribute is changed current and the corresponding current times, and the last change and the current change are not in the same frame. And when the attribute is increased, increasing the current times of the system type corresponding to the increased attribute in the initial type information. And when the attribute is reduced, reducing the current times of the system type corresponding to the reduced attribute in the initial type information. For example, wearing equipment increases the current number of times of the corresponding system type, and taking off equipment decreases the current number of times of the corresponding system type.
In the embodiment of the present embodiment, when the last change is not the same frame as the current change, the update time of the system type corresponding to the attribute of the change may be updated according to the number of frames corresponding to the current change.
Step S130, comparing the standard times of the same system type with the current times.
In this embodiment, the data table is compared with the current type information to determine whether the current number of times of the system type that can change the attribute is greater than a standard number of times. The current times of a system type is smaller than that of a standard system, which indicates that the system type is normal and the corresponding attributes are normal.
Step S140, when the current number of times of the same system type is greater than the standard number of times, determining that the system type is abnormal and the corresponding attribute is abnormal.
In this embodiment, the current number of times of a system type is greater than the standard number of times, which indicates that the system type is abnormal and the corresponding attribute is abnormal. By the method, the attribute abnormity can be found without actively reporting a specific logic error mode by a player, and meanwhile, the abnormal system type can be directly positioned and the problem can be reproduced, so that the abnormal condition of the attribute can be solved in time. Therefore, the situation that more or less attributes are added or reduced due to errors in the game is avoided, and the attributes of the players are superposed infinitely by the errors to greatly influence the game balance.
Referring to fig. 4, fig. 4 is a second flowchart illustrating an attribute abnormality discovery method according to an embodiment of the present invention. Before step S120, the method may further include step S112 and step S113.
In step S112, systems in the game, which can change attributes, are classified.
Step S113, obtaining a standard number corresponding to each system type to obtain the data table.
In this embodiment, all systems in the current game that can change attributes are acquired, and the systems that can change attributes are classified based on actual needs. There are many attributes, such as physical injury, legal effect, physical defense, legal defense, chance of concentration, legal resistance, etc. The types of systems that may change attributes may be: riding, pet waiving, changing gear, etc. Several properties can be changed by one system type.
In this embodiment, the corresponding standard times are obtained according to different system types, and then the data table is obtained according to the system types and the corresponding standard times. And when the standard times of the system type are fixed times, obtaining the standard times corresponding to the system type. For example, the standard number of pet riders is fixed, and the standard number is fixed 1. And when the standard times of the system type are dynamic times, calculating according to the system type and a preset rule to obtain the standard times corresponding to the system type. If the standard times of the system type are dynamic times, the standard times need to be calculated according to the current information of the player. For example, the equipment may be worn 10 pieces in total, if the player now wears only one piece, the standard number of times for this system type is 1; if the player now wears two pieces, the standard number of times for this type of system is 2, i.e., 2 pieces of equipment.
Referring to fig. 5, fig. 5 is a third schematic flow chart of the attribute abnormality finding method according to the embodiment of the present invention. The method may further include step S150.
And step S150, performing attribute abnormity alarm according to the type of the abnormal system and the corresponding current times.
In an embodiment of this embodiment, the exception system type and the corresponding current number of times may be recorded in a log to generate an exception record. And then an abnormality alarm is performed according to the abnormality record. The method for alarming the abnormity can be that popup window information is generated according to the abnormity record and is controlled to be displayed on electronic equipment of related personnel so as to prompt the occurrence of the attribute abnormity.
Referring to fig. 6, fig. 6 is a block diagram illustrating an attribute abnormality discovery apparatus 200 according to an embodiment of the present invention. The attribute abnormality discovery apparatus 200 is applied to the server 100. The server 100 stores therein a data table including the system types of changeable attributes of the current game and the corresponding standard times. The attribute anomaly discovery apparatus 200 may include an obtaining module 220, a comparing module 230, and a determining module 240.
The obtaining module 220 is configured to obtain current type information, where the current type information includes a system type of a changeable attribute of a current game and a corresponding current number of times.
In this embodiment, the obtaining module 220 is configured to execute step S120 in fig. 2, and the detailed description about the obtaining module 220 may refer to the description of step S120 in fig. 2.
The comparing module 230 is configured to compare the standard times of the same system type with the current times.
In this embodiment, the comparing module 230 is configured to execute step S130 in fig. 2, and the detailed description about the comparing module 230 may refer to the description of step S130 in fig. 2.
The determining module 240 is configured to determine that the system type is abnormal and the corresponding attribute is abnormal when the current number of times of the same system type is greater than the standard number of times.
In the present embodiment, the determining module 240 is configured to execute step S140 in fig. 2, and the detailed description about the determining module 240 may refer to the description of step S140 in fig. 2.
In this embodiment, the obtaining module 220 is further configured to classify systems capable of changing attributes in a game, and the obtaining module 220 is further configured to obtain a standard number of times corresponding to each system type to obtain the data table. The detailed description about the obtaining module 220 can refer to the descriptions of step S112 and step S113 in fig. 4.
Referring again to fig. 6, the attribute abnormality discovering apparatus 200 may further include an alarm module 250. The alarm module 250 is configured to perform an attribute abnormality alarm according to the type of the abnormal system and the corresponding current times.
In this embodiment, the alarm module 250 is configured to execute step S150 in fig. 5, and the detailed description about the alarm module 250 may refer to the description of step S150 in fig. 5.
In summary, the embodiments of the present invention provide a method and an apparatus for discovering attribute anomalies. The method is applied to the server. The server stores a data table, and the data table comprises the system type of the changeable attributes of the current game and the corresponding standard times. The method comprises the steps of obtaining system types of changeable attributes of current games and current type information of corresponding current times, and comparing standard times of the same system types with the current times. And when the current times of the same system type is greater than the standard times, judging that the system type is abnormal and the corresponding attribute is abnormal. Therefore, when the attribute is abnormal and the game balance is influenced, the attribute abnormality can be timely found; and the abnormal system type can be directly positioned, so that specific problems can be conveniently found, the abnormal condition of the attribute can be solved in time, and the workload of developers for positioning the abnormal system type is reduced.
The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention, and various modifications and changes may be made by those skilled in the art. Any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.

Claims (9)

1. An attribute anomaly discovery method is applied to a server, wherein a data table is stored in the server, the data table comprises system types of changeable attributes of current games and corresponding standard times, and the method comprises the following steps:
acquiring current type information, wherein the current type information comprises a system type of changeable attributes of a current game and corresponding current times;
comparing the standard times of the same system type with the current times;
when the current times of the same system type is greater than the standard times, judging that the system type is abnormal and the corresponding attribute is abnormal;
wherein the step of obtaining the current type information comprises:
acquiring initial type information, and acquiring updating time of a system type corresponding to a changed attribute in the initial type information when the attribute changes, wherein the updating time is represented by a frame number, and one system type corresponds to at least one attribute;
judging whether the current change and the last change occur in the same frame according to the updating time;
and when the current change and the last change do not occur in the same frame, updating the initial type information according to the current attribute change to obtain the current type information.
2. The method of claim 1, wherein the step of updating the initial type information according to the current attribute change to obtain the current type information comprises:
when the attribute is increased, increasing the current times of the system type corresponding to the increased attribute in the initial type information;
and when the attribute is reduced, reducing the current times of the system type corresponding to the reduced attribute in the initial type information.
3. The method of claim 2, wherein the step of updating the initial type information according to the current attribute change to obtain the current type information further comprises:
update times of the system types corresponding to the changed attributes are updated.
4. The method of claim 1, further comprising:
classifying systems capable of changing attributes in the game;
and acquiring the standard times corresponding to each system type to obtain the data table.
5. The method of claim 4, wherein the step of obtaining the standard times corresponding to each system type comprises:
when the standard times of the system type are fixed times, obtaining the standard times corresponding to the system type;
and when the standard times of the system type are dynamic times, calculating according to the system type and a preset rule to obtain the standard times corresponding to the system type.
6. The method of claim 1, further comprising:
and performing attribute abnormity alarm according to the type of the abnormal system and the corresponding current times.
7. An attribute anomaly discovery device applied to a server, wherein a data table is stored in the server, the data table comprises system types of changeable attributes of current games and corresponding standard times, and the device comprises:
the system comprises an acquisition module, a storage module and a processing module, wherein the acquisition module is used for acquiring current type information, and the current type information comprises a system type of changeable attributes of a current game and corresponding current times;
the comparison module is used for comparing the standard times of the same system type with the current times;
the judging module is used for judging the system type abnormality and the corresponding attribute abnormality when the current times of the same system type is greater than the standard times;
the method for acquiring the current type information by the acquisition module comprises the following steps:
acquiring initial type information, and acquiring updating time of a system type corresponding to a changed attribute in the initial type information when the attribute changes, wherein the updating time is represented by a frame number, and one system type corresponds to at least one attribute;
judging whether the current change and the last change occur in the same frame according to the updating time;
and when the current change and the last change do not occur in the same frame, updating the initial type information according to the current attribute change to obtain the current type information.
8. The apparatus of claim 7,
the acquisition module is also used for classifying systems with changeable attributes in the game;
the obtaining module is further configured to obtain a standard number of times corresponding to each system type to obtain the data table.
9. The apparatus of claim 7, further comprising:
and the alarm module is used for performing attribute abnormity alarm according to the type of the abnormal system and the corresponding current times.
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