CN112023383A - Intelligent automatic settlement system - Google Patents
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- 238000004364 calculation method Methods 0.000 claims abstract description 14
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- 235000021178 picnic Nutrition 0.000 claims description 2
- 230000002159 abnormal effect Effects 0.000 description 9
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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
- A63F9/00—Games not otherwise provided for
- A63F9/20—Dominoes or like games; Mah-Jongg games
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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
- A63F9/00—Games not otherwise provided for
- A63F9/20—Dominoes or like games; Mah-Jongg games
- A63F2009/205—Mah-jongg games
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Abstract
The invention relates to the technical field of game settlement systems, in particular to an intelligent automatic settlement system, which comprises a rule acquisition module, a rule storage module and a rule output module, wherein the rule acquisition module is used for acquiring current game rules; the game event acquisition module is used for acquiring game events in the game process; the score change generation module is used for generating a score change record according to the game event and the game rule; the settlement module is used for generating settlement data of the current bureau according to the score change record; the device also comprises a statistic module used for carrying out accumulative statistics on accumulative settlement data of the games; the game event comprises an event type, an event execution subject, event association data and an event parameter, wherein the event association data comprises a causal relationship. The intelligent automatic settlement system can solve the problems that in the mahjong game process, the score calculation is inconsistent due to different local rules, the calculation cost time is long, the calculation is easy to be wrong and the like, and realizes intelligent automatic score settlement.
Description
Technical Field
The invention relates to the technical field of game settlement systems, in particular to an intelligent automatic settlement system.
Background
Chess and cards are common leisure and entertainment tools in daily life. The mahjong is a traditional Chinese card, integrates entertainment and strategic properties, and is popular among people. The mahjong machine provides the functions of playing table platforms of players, automatically shuffling and building tiles and the like, greatly facilitates the players, improves the playing efficiency, and is also the first choice for the players to play mahjong.
Along with the development of science and technology, the functions of the mahjong machine are also continuously upgraded, but the improvements are mostly focused on aspects such as appearance, shuffling mode, card discharging convenience and the like. There are hundreds of different playing methods in different provinces and cities in China, and the rules are different. Players are easy to misunderstand rules in the entertainment and competitive processes, and further diverge in the calculation of scores, so that a lot of contradictions are caused, the game mood of the players is influenced, and the competitive effect is reduced.
Meanwhile, the age span of the mahjong player group is large, the group from the age of several years to the age of hundreds of years can play, and the calculation capability of scores of different players is greatly different. After one mahjong game is finished, the participating players sometimes take a long time to calculate scores, and the game cannot be continued even if the scores are miscalculated, miscalculated and miscalculated. The more delay in calculating the score, the more the player's experience and continuity of the game are affected.
Disclosure of Invention
The invention aims to provide an intelligent automatic settlement system, which can solve the problems of inconsistent score calculation, long calculation time, easy miscalculation and the like caused by different local rules in the mahjong game process, and realize intelligent automatic score settlement.
The application provides the following technical scheme:
intelligent automatic settlement system, comprising:
the rule obtaining module is used for obtaining the current game rule;
the game event acquisition module is used for acquiring game events in the game process;
the score change generation module is used for generating a score change record according to the game event and the game rule;
and the settlement module is used for generating settlement data of the current bureau according to the score change record.
According to the technical scheme, the current game rule can be acquired through the rule acquisition module, the game events such as game starting, playing and the like in the mahjong game process can be acquired through the game event acquisition module, the score change generation module judges the change influence of each game event on the score of each user according to the game events and the game rules, a score change record is generated, and the settlement module is used for generating settlement data of the game based on the score change record after the game is finished.
Furthermore, the system also comprises a statistic module used for carrying out accumulative statistic on accumulative settlement data of the games.
The score of the user is accumulated and calculated through the statistical module, so that the user can know the game result more clearly.
Further, the game event comprises an event type, an event execution subject, event association data and an event parameter, wherein the event association data comprises a causal relationship.
Related user subjects of game events can be found conveniently through causal relations, score changes among users can be calculated, for example, except for an event execution subject of a card event, namely a card user, the card event needs to judge which user is a related point card, and score changes are calculated accordingly.
Further, the score change generation module comprises an event filtering module, a main body obtaining module and a main body score change calculation module, wherein the event filtering module is used for screening out score change events according to game rules and event types; the main body obtaining module is used for obtaining related main bodies according to event types and causal relations, the main body score change calculating module is used for calculating score change values of the event execution main bodies and the related main bodies according to current game rules, event types, event parameters and causal relations, and the score change generating module is used for generating score change records according to the score change values of all the main bodies.
Further, the event types comprise game opening, card eating, card hitting, bar card, and game ending; the score change event includes a bar and a picnic.
And the broadcasting display module is used for broadcasting and displaying the score change record, the settlement data and the accumulated settlement data.
The settlement condition is broadcasted and displayed through the broadcasting display module, so that the user can know the settlement result in real time.
Further, the score change record includes a score change value of each subject and a calculation process of the change value.
Through the calculation process of the display change value, the user can clearly and quickly know the change details of the scores.
And the game rule making module is used for setting the game rule according to the input of the user. The user can conveniently make game rules before the game is started.
Drawings
Fig. 1 is a logic block diagram of an embodiment of an intelligent automatic settlement system according to the present application.
Detailed Description
The following is further detailed by way of specific embodiments:
example one
As shown in fig. 1, the intelligent automatic settlement system of the embodiment includes a game rule making module, a rule obtaining module, a game event identifying module, a game event obtaining module, a score change generating module, a settlement module, a statistic module, and a broadcast display module.
The game rule making module is used for setting game rules according to user input, and specifically, in the implementation, the game rule making module comprises a game selection module and a customized play module, the game selection module is used for selecting the existing play rules of the system for the user to select, the game selection module is also used for setting the game play according to user operation, the game play comprises a plurality of game rules, the customized play module comprises a rule selection module and a rule modification module, and the rule selection module is used for selecting the game rules from a rule base or quickly selecting the game rules corresponding to the existing play according to the user operation, if the user can select whether to start the missing play rules in a customized manner, or can add rules whether to allow regret cards, and the like. The rule modification module is used for modifying the selected game rule according to the operation of the user, and in the embodiment, the modification mainly refers to modification on data, such as adjustment of the number of times, regulation of the number of times of regret cards, and the like.
The rule obtaining module is used for obtaining each game rule of the current game in the game process, and the rule obtaining module can also obtain the relevant game rule according to the game event.
The game event identification module comprises a game data acquisition module and an image identification module, the game data acquisition module is used for acquiring image data of the table top of the mahjong table, the influence data comprises image data and video data, the image identification module is used for acquiring game operation of each user and corresponding game events according to the image data, and the game events comprise event types, event execution main bodies, event associated data and event parameters. In this implementation, the event types include game opening, dice shaking, card raising, card touching, card dropping, card eating, card hitting, bar card, card shuffling, game ending and card shuffling, and the event-related data includes cause-and-effect related events and related subjects. The image identification module is used for identifying the game event according to the image data, and the image identification module is also used for carrying out secondary identification on the game event according to the video data, wherein the secondary identification is used for newly adding the game event or carrying out verification, correction or supplementation on the event type, the event execution main body, the event related data and the event parameter of the game event identified according to the image data.
The image identification module comprises an event type identification module, an event execution main body analysis module, an event associated data analysis module, an event parameter identification module and a supplement identification module, wherein the event type identification module is used for identifying image data or video data and identifying the change condition of game content and user action on the desktop according to the identification result among a plurality of image data or multi-frame video data, and the event type identification module is also used for identifying the event type according to the change condition of the game content and the user action; in this embodiment, an existing image recognition algorithm, such as an intelligent recognition algorithm based on a neural network, is first used to recognize an article in a frame image of an image or video, and then a game event is determined by comparing differences in a picture, where if there are no three cards in a previous card and three cards in a next picture, a card-playing event is indicated. The event execution main body analysis module is used for identifying an execution main body according to the event type, the game rule and the user action; the actions of each player can be identified by comparing the positions of hands, so that the player can be judged to play the cards, and meanwhile, auxiliary judgment can be carried out on the basis of the record of game events, for example, the player A is judged when the card is touched last time, and the player A is judged to be the execution subject of the card playing event; the event correlation data analysis module is used for searching and correlating the game event related to the current game event according to the game rule; the event correlation data analysis module comprises a causal relationship analysis module and a correlation subject analysis module, the causal relationship analysis module is used for searching a causal correlation event having a causal relationship with the current game event according to the event type and the game rule, and the correlation subject analysis module is used for acquiring a correlation subject related to the current event according to the event type, the game rule and the causal correlation event. The causal association event of the above events is a card-touching event of player a, which is played because of the card-touching event, and the event has no associated main body, while other events such as card-touching, card-eating, etc., the related causal association event may be that the player touches the card or plays the card by other players, the corresponding associated main body is the whole player or the player who played the corresponding card, and the determination of the associated main body can be adjusted according to the game rules. The event parameter identification module is configured to identify event parameters of the game event according to the image data or the video data, where three event parameters correspond to the game event in the above example.
The supplement identification module is used for carrying out secondary identification on game events according to the video data, namely adding game events or verifying, correcting or supplementing the event types, event execution subjects, event associated data and event parameters of the game events identified according to the image data, if it is detected that the table has two cards added between the two image data, it may be that the player has made an error or that the player has turned two players too soon, and the image acquisition module does not acquire the relevant image, or the execution subject can not be determined by the image data, a secondary recognition can be performed by the video data, using existing recognition algorithms based on the video data, such as LSTM-based action recognition algorithms to recognize user actions to verify or refine various attributes of the game event (event type, event execution subject, event correlation data, and event parameters). The time type of the game event can be adjusted according to the change of the game rule, and if the missing play method is added to the game rule, the game event comprises a default event. The game events are divided into score change events and non-score change events according to whether corresponding game events in the game rules trigger score changes, and the corresponding division is changed due to the difference of the game rules.
The game event acquisition module is used for acquiring game events in the game process in real time;
the score change generation module is used for generating a score change record according to the game event and the game rule; the score change generation module comprises an event filtering module, a main body acquisition module and a main body score change calculation module, wherein the event filtering module is used for screening out score change events according to game rules and event types; the main body obtaining module is used for obtaining related main bodies according to event types and causal relations, the main body score change calculating module is used for calculating score change values of the event execution main bodies and the related main bodies according to current game rules, event types, event parameters and causal relations, and the score change generating module is used for generating score change records according to the score change values of all the main bodies. The score change record includes a score change value of each subject and a calculation process of the change value.
And the settlement module is used for generating settlement data of the current bureau according to the score change record. The statistic module is used for accumulatively counting accumulated settlement data of the games. Broadcast display module for report and show score change record, settlement data and accumulative total settlement data, in this embodiment, broadcast display module still is used for broadcasting game event, for example "user 1 has eaten user 2's X tablet" etc. to remind the user to notice.
Example two
The difference between the embodiment and the first embodiment is that the embodiment further includes a high-branch-game screening module, a high-branch-game restoration module, and an abnormal operation screening module, where the high-branch-game screening module is configured to select a card game with highest single-game settlement data according to each game settlement data as the high branch game, the high-branch-game restoration module is configured to restore data and a change process of cards in hands of each player in the high branch game according to a game event, the abnormal operation screening module is configured to generate an operable player list according to the cards in the hands of each player, score each operation in the operable list, and judge that the user is an abnormal operation according to a score corresponding to an actual operation of the user if the score of the actual operation of the user is smaller than a preset value. If the user can hear the cards or obtain a larger number of hearing cards if playing a certain card, but the user deviates to another card to cause the number of hearing cards to be small or not, the operation is marked as abnormal. The high branch screening module selects a video of the high branch, the results of the high branch restoration module and the unconventional operation screening module are marked on the video and are pushed to each user terminal, and a user can check the whole process video of the game through the user terminal, so that on one hand, the user can learn the operation of each player in the high branch, and on the other hand, the user can monitor whether the player has violation or cheating behaviors.
EXAMPLE III
The difference between this embodiment and the second embodiment is that, in this embodiment, the method further includes a highlight operation screening module, where the highlight operation screening module is configured to determine a profit value brought by the abnormal operation of the player according to the game event and the change data of the cards in each player hand, specifically, the highlight operation screening module scores the cards in each player hand according to the condition of the cards in each player hand, the scoring is based on the rank number, whether there are tiles, the number of dark bars, whether to hear the tiles, the number of listening to the tiles, whether to moult the tiles, and the like, the scoring dimension may be adjusted according to a specific game rule, and then the scoring is obtained by summing according to a preset rule and a preset weight, after the user performs an abnormal operation once, the scoring change of the tiles in the user hand is continuously monitored, the scoring change is used as a profit value of the abnormal operation, and if the profit value is greater than the preset value, it is indicated that the abnormal operation brings a great, this may indicate that the playing of the user is severe, or that the user uses an abnormal means, and the video corresponding to the part of the operation is mainly pushed to each player for viewing, so as to be learned and supervised by the player.
Example four
The difference between the present embodiment and the third embodiment is that if the profit value brought by the user through the irregular operation is low, or even negative, it is determined that the user is a beginner, a recommended operation is generated, and a video corresponding to the recommended operation is sent to the user for learning.
The above are merely examples of the present invention, and the present invention is not limited to the field related to this embodiment, and the common general knowledge of the known specific structures and characteristics in the schemes is not described herein too much, and those skilled in the art can know all the common technical knowledge in the technical field before the application date or the priority date, can know all the prior art in this field, and have the ability to apply the conventional experimental means before this date, and those skilled in the art can combine their own ability to perfect and implement the scheme, and some typical known structures or known methods should not become barriers to the implementation of the present invention by those skilled in the art in light of the teaching provided in the present application. It should be noted that, for those skilled in the art, without departing from the structure of the present invention, several changes and modifications can be made, which should also be regarded as the protection scope of the present invention, and these will not affect the effect of the implementation of the present invention and the practicability of the patent. The scope of the claims of the present application shall be determined by the contents of the claims, and the description of the embodiments and the like in the specification shall be used to explain the contents of the claims.
Claims (8)
1. Intelligent automatic settlement system, its characterized in that: the method comprises the following steps:
the rule obtaining module is used for obtaining the current game rule;
the game event acquisition module is used for acquiring game events in the game process;
the score change generation module is used for generating a score change record according to the game event and the game rule;
and the settlement module is used for generating settlement data of the current bureau according to the score change record.
2. The intelligent automatic settlement system according to claim 1, wherein: the device also comprises a statistic module used for carrying out accumulative statistics on accumulative settlement data of the games.
3. The intelligent automatic settlement system according to claim 2, wherein: the game event comprises an event type, an event execution subject, event association data and an event parameter, wherein the event association data comprises a causal relationship.
4. The intelligent automatic settlement system according to claim 3, wherein: the score change generation module comprises an event filtering module, a main body acquisition module and a main body score change calculation module, wherein the event filtering module is used for screening out score change events according to game rules and event types; the main body obtaining module is used for obtaining related main bodies according to event types and causal relations, the main body score change calculating module is used for calculating score change values of the event execution main bodies and the related main bodies according to current game rules, event types, event parameters and causal relations, and the score change generating module is used for generating score change records according to the score change values of all the main bodies.
5. The intelligent automatic settlement system according to claim 4, wherein: the event types comprise game opening, card eating, card collision, bar card, and game ending; the score change event includes a bar and a picnic.
6. The intelligent automatic settlement system according to claim 5, wherein: the system also comprises a broadcasting display module which is used for broadcasting and displaying the score change record, the settlement data and the accumulated settlement data.
7. The intelligent automatic settlement system according to claim 6, wherein: the score change record includes a score change value of each subject and a calculation process of the change value.
8. The intelligent automatic settlement system according to claim 7, wherein: the game system also comprises a game rule making module which is used for setting the game rule according to the input of the user.
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