CN110585722A - Block chain-based game time information processing method and device and game control method and device - Google Patents

Abstract

This application relates to blockchain technology, and specifically discloses a method for processing game time information, including: receiving the game time information reported by the target user as the target user by the target game node corresponding to the game platform where the target user is currently located; Cumulative, to obtain the cumulative game time of the target user on each game platform connected to the blockchain network within the statistical period; synchronize the cumulative game time of the target user in the blockchain network, so that the target game node can start from the block Accumulate the accumulated game time in the chain, and control the game for the target user when the accumulated game time is not less than the target user's suitable game time. It is obtained by performing time prediction based on the historical game time information above. Thereby, the time period for the user to play the game can be effectively limited.

Description

Block chain-based game time information processing method and device, game controller method and device

technical field

The present application relates to the technical field of computer and block chain, in particular, to a method and device for processing game time information based on block chain, and a game control method and device.

Background technique

The prosperity of online games provides the public with more alternative entertainment methods and enriches their spare time life. But at the same time, because some users are addicted to online games and play games without restriction, it not only affects normal life, work and study, but also seriously endangers their health.

How to limit the user's game to avoid the user's addiction to the game is a technical problem to be solved urgently in the prior art.

Contents of the invention

The embodiments of the present application provide a blockchain-based game time information processing method and device, a game control method and device, and then at least to a certain extent, limit the duration of the user's game and prevent the user from indulging in the game.

Other features and advantages of the present application will become apparent from the following detailed description, or in part, be learned by practice of the present application.

According to an aspect of an embodiment of the present application, a method for processing game time information is provided, which is applied to computing nodes in a blockchain network, including:

Receive the game time information reported by the target game node corresponding to the target user's current game platform for the target user;

According to the game time information, the game time is accumulated, and the accumulated game time of the target user playing games on each game platform connected to the blockchain network within the statistical period is obtained;

Synchronize the accumulated game duration of the target user in the blockchain network, so that the target game node obtains the accumulated game duration from the blockchain, and when the accumulated game duration is not lower than the target When the user's suitable game time is long, the game control is performed on the target user. The suitable game time of the target user is the regression model in the calculation node according to the historical game time information of the target user on each game platform. predicted

According to an aspect of the embodiment of the present application, a blockchain-based game control method is provided, which is applied to game nodes in a blockchain network, including:

Acquire the cumulative game time of the target user within the statistical period from the computing node, and the computing node in the blockchain network will calculate the target user’s game time information according to the game time information reported by the game server corresponding to each game platform connected to the target user. The user accumulates the game time to obtain the accumulated game time; and

Obtaining the appropriate game duration predicted by the calculation node for the target user, the appropriate game duration is obtained by performing time prediction based on the historical game time information of the target user on each game platform by the regression model in the calculation node;

If the accumulated game duration is not lower than the target user's suitable game duration, then the target user is controlled for the game.

According to a solution of an embodiment of the present application, a processing device for game time information based on blockchain is provided, which is applied to computing nodes in a blockchain network, including:

The receiving module is used to receive the game time information reported by the target game node corresponding to the target user's current game platform for the target user;

The accumulative module is used to accumulate the game time according to the game time information, and obtain the accumulated game time of the target user playing games on each game platform connected to the blockchain network within the statistical period;

A synchronization module, configured to synchronize the accumulated game duration of the target user in the block chain network, so that the target game node obtains the accumulated game duration from the block chain, and when the accumulated game duration exceeds When it is lower than the suitable game duration of the target user, the game control is performed on the target user, and the suitable game duration of the target user is a regression model in the computing node according to the history of the target user on each game platform The game time information is obtained by time prediction.

According to a solution of an embodiment of the present application, a blockchain-based game control device is provided, which is applied to a game server, including:

The cumulative game duration acquisition module is used to obtain the cumulative game duration of the target user within the statistical period from the block chain, and the computing nodes in the block chain network report for the target user according to the game nodes corresponding to the connected game platforms game time information, accumulate game time for the target user, obtain the accumulated game time, and synchronize the accumulated game time in the blockchain network; and

The suitable game duration acquisition module is used to obtain the suitable game duration predicted by the calculation node for the target user. The suitable game duration is the regression model in the calculation node according to the historical game time information of the target user on each game platform obtained by time prediction;

The game control module is used to control the game of the target user if the accumulated game time is not lower than the suitable game time of the target user.

In the technical solutions provided by some embodiments of the present application, on the one hand, by connecting each game platform to the blockchain network, the situation that the information between the game platforms is not interoperable is broken, thus, the blockchain network The computing node calculates the cumulative game duration according to the game time information reported by the game node corresponding to the game platform; on the other hand, the computing node predicts the appropriate game duration of the target user based on the historical game The user's suitable game time and accumulated game time can carry out targeted control on the target user, so as to realize the personalized control of the target user according to the historical game time information of the target user. According to the accumulated game time of the target user and the predicted suitable game time, the game is controlled for the target user, so that the user can be prevented from being addicted to the game to a certain extent.

It is to be understood that both the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the application.

Description of drawings

The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the application and together with the description serve to explain the principles of the application. Apparently, the drawings in the following description are only some embodiments of the present application, and those skilled in the art can obtain other drawings according to these drawings without creative efforts. In the attached picture:

FIG. 1 shows a schematic diagram of an exemplary system architecture to which the technical solutions of the embodiments of the present application can be applied;

Fig. 2 is a flow chart of a method for processing game time information based on blockchain shown according to an exemplary embodiment;

Fig. 3 is a flowchart of a method for processing game time information based on blockchain shown according to another exemplary embodiment;

Fig. 4 is a flowchart of a method for processing game time information based on blockchain shown according to another exemplary embodiment;

FIG. 5 is a flow chart in an embodiment of step 230 corresponding to the embodiment in FIG. 2;

Fig. 6 is a flowchart of a blockchain-based game control method shown according to an exemplary embodiment;

Fig. 7 is a flow chart of a blockchain-based game control method shown according to another exemplary embodiment;

FIG. 8 is a flowchart of step 610 in an embodiment corresponding to the embodiment in FIG. 6;

Fig. 9 is a flowchart of a blockchain-based game control method shown according to a specific embodiment;

Fig. 10 is a block diagram of a processing device for game time information based on blockchain shown according to an exemplary embodiment;

Fig. 11 is a block diagram of a blockchain-based game control device shown according to an exemplary embodiment;

Fig. 12 shows a schematic structural diagram of a computer system suitable for implementing the electronic device of the embodiment of the present application.

Detailed ways

Example embodiments will now be described more fully with reference to the accompanying drawings. Example embodiments may, however, be embodied in many forms and should not be construed as limited to the examples set forth herein; rather, these embodiments are provided so that this application will be thorough and complete, and will fully convey the concepts of example embodiments to those skilled in the art.

Furthermore, the described features, structures, or characteristics may be combined in any suitable manner in one or more embodiments. In the following description, numerous specific details are provided in order to give a thorough understanding of the embodiments of the application. However, those skilled in the art will appreciate that the technical solutions of the present application may be practiced without one or more of the specific details, or other methods, components, devices, steps, etc. may be employed. In other instances, well-known methods, apparatus, implementations, or operations have not been shown or described in detail to avoid obscuring aspects of the application.

The block diagrams shown in the drawings are merely functional entities and do not necessarily correspond to physically separate entities. That is, these functional entities may be implemented in software, or in one or more hardware modules or integrated circuits, or in different networks and/or processor devices and/or microcontroller devices entity.

The flow charts shown in the drawings are only exemplary illustrations, and do not necessarily include all contents and operations/steps, nor must they be performed in the order described. For example, some operations/steps can be decomposed, and some operations/steps can be combined or partly combined, so the actual order of execution may be changed according to the actual situation.

Fig. 1 shows a schematic diagram of an exemplary system architecture to which the technical solutions of the embodiments of the present application can be applied.

As shown in Figure 1, the system architecture can include a block chain network 110, which includes several computing nodes 111 and several game nodes 112 corresponding to the game platform, wherein the computing nodes 111 can be servers, user terminals, etc. The game node 112 can be a game server corresponding to the game platform, and can also be a terminal device equipped with a client game application program in the game platform, such as a smart phone, a tablet computer, a notebook computer, a desktop computer, etc. Herein Not specifically limited.

The game node 112 reports the game time information of the target user on the corresponding game platform to the calculation node 111, and the calculation node calculates the accumulated game time for each game user according to the game time information reported by the game node 112 in each game platform. At the same time, the calculation node 111 also predicts the appropriate game duration according to the historical game time information of the game user, thereby synchronizing the target user's appropriate game duration and the accumulated game duration in the blockchain network, so that the game node 112 The user's suitable game duration and cumulative game duration control the game for the target user.

Referring to the block chain network 110 shown in FIG. 1 , the block chain network 100 includes several computing nodes 111 and several game nodes 112 , and the computing nodes 111 and game nodes 112 are referred to as nodes in the block chain network 100 .

In order to ensure the intercommunication of information in the blockchain network 110, there may be an information connection between each node in the blockchain network 110, and information transmission may be performed between each node through the above-mentioned information connection. For example, when a calculation node of the blockchain network 100 calculates the accumulated game time of the target user, other nodes in the blockchain network obtain the accumulated game time of the target user according to the consensus algorithm, and use the accumulated game time as a share The data in the data is stored so that the data stored on all nodes in the blockchain network are consistent.

For each node in the blockchain network, there is a corresponding node ID, and each node in the blockchain network can store the node IDs of other nodes in the blockchain network, so that subsequent Node ID, which broadcasts the generated block to other nodes in the blockchain network. Each node can maintain a node ID list as shown in the following table, and store the node name and node ID in the node ID list. Wherein, the node identifier may be an IP (Internet Protocol, a protocol for interconnecting networks) address and any other information that can be used to identify the node. Table 1 only uses the IP address as an example for illustration.

Table 1 Node ID list

node name Node ID node 1 117.114.151.174 node 2 117.116.189.145 … … Node N 119.123.789.258

Each node (including computing node 111 and game node 112) in the blockchain network stores an identical blockchain. A blockchain consists of multiple blocks. Each block includes the hash value of this block and the hash value of the previous block stored in this block, and each block is connected through the hash value to form a blockchain. In addition, the block may also include information such as a time stamp when the block was generated. Blockchain (Blockchain), essentially a decentralized database, is a series of data blocks associated with each other using cryptographic methods. Each data block contains relevant information to verify the validity of its information. (anti-counterfeiting) and generate the next block.

The implementation details of the technical solutions of the embodiments of the present application are described in detail below:

Fig. 2 shows a flowchart of a method for processing game time information based on blockchain according to an embodiment of the present application, and the method for processing game time information is executed by computing nodes in the blockchain network. Referring to Fig. 2, the processing method of the blockchain-based game time information at least includes:

Step 210, receiving the game time information reported by the target game node corresponding to the game platform where the target user is currently located for the target user.

The blockchain network has established communication connections with multiple game platforms, so that the computing nodes in the blockchain network can interact with the game nodes corresponding to the game platforms, and accumulate the accumulated game time for the target game users. A game application corresponds to a game platform, and a computer device serving a game application can be used as a game node corresponding to the game platform.

In an embodiment, the game node may be a user terminal corresponding to the game application, such as a mobile phone, a notebook computer, a tablet computer and other terminals loaded with the game application, so that the user terminal directly reports the game time information to the computing node.

In another embodiment, the game node may be a game server corresponding to the game application, so that the game server reports the game time for the target user to the computing node according to the status of the target user on the game server (such as login, logout, and game) information.

Since the information between various game platforms is not interoperable, by building a blockchain network and connecting each game platform to the blockchain network, data sharing is realized among various game platforms based on the constructed blockchain network , specifically, the sharing of game time information of users on each game platform is realized.

The target user does not specifically refer to a certain user, but generally refers to the user to be controlled by the game. Similarly, the target game node does not specifically refer to the game node corresponding to a certain game platform, but generally refers to the game node corresponding to the game platform where the target user is currently located.

The target user or game user in this disclosure refers to the user after the consensus in the blockchain network. The game accounts in each game platform are set together, so that the corresponding game time is accumulated for the target user.

In a specific embodiment, it can be uniquely identified according to identity, such as ID number, biometric information, and the like. Biometric information, such as face images, fingerprint data, etc., is not specifically limited here.

For the target user after consensus in the blockchain network, the game platform where the target user is currently located can be the game platform where the target user requests to log in by sending a login request, or the game platform where the target user has successfully logged in currently.

Regardless of whether the target user requests to log in to the game platform or the target user successfully logs in to the game platform, the target game node will report to the computing node in the blockchain network to report information for the target user, such as game time information. Thus, the computing nodes in the blockchain network can know the status of the target user in the target game server, such as requesting login, successful login, exit status, and game progress status.

The game time information may be the time when the target user sends a login request, the time when the target user logs into the target game server, the current time when the target user is on the game platform corresponding to the target game server, the time when the target user exits the target game server, etc.

Step 230, accumulate the game time according to the game time information, and obtain the accumulated game time of the target user playing games on each game platform connected to the blockchain network within the statistical period. In the blockchain network, users in each game platform reach a consensus through the user's biometric information, so that the account information of the game user corresponding to the same biometric information on each game platform can be determined, and then can be based on each game platform. The game time information reported by the corresponding game server counts the cumulative game time of the target user playing games on each game platform.

Wherein, in order to facilitate game control, the accumulated game duration counted is counted according to a statistical cycle, such as 12 hours, one day, two days, one week, etc., and the statistical cycle can be set according to the actual situation. After the end time of the current statistical period is reached, the statistics of the accumulated game time of the target user will be restarted in the next statistical period.

As described above, the game time information may be the time when the target user requests to log in to the game platform, the time when the target user logs in to the game platform, the current time when the game is played on the game platform, and the time when the target user exits the game platform. The game time information corresponds to the statistics of the accumulated game time for the target user.

In an embodiment, the accumulation of the game duration can also be performed in combination with a preset accumulation rule, and the preset accumulation rule is used to limit the conditions that the accumulated game time information needs to meet. For example, the condition may limit the game platform from which the accumulated game time information is derived, so that the accumulated game time can be calculated on several game platforms defined by preset accumulation rules. For another example, this condition can limit game users who do not need to calculate the accumulated game time, so if the target user is a user who does not need to be accumulated as defined in the preset accumulation rules, the accumulated game time will not be accumulated for this user , thus, accumulation is performed for the limited game users who need to calculate the accumulated game duration. For another example, the condition can limit the reporting time corresponding to the accumulated game time information, in other words, only the game time information reported within the time period limited by the preset accumulation rule is used to accumulate the accumulated game time. Of course, the above is an exemplary example, and the preset accumulation rule can also be set according to actual needs, which is not specifically limited here. Step 250 synchronizes the cumulative game duration of the target user in the blockchain network, so that the target game node obtains the cumulative gaming duration from the blockchain, and when the cumulative gaming duration is not lower than the target user's suitable gaming duration, the target user For game control, the appropriate game duration of the target user is obtained by predicting the time based on the regression model in the calculation node based on the historical game time information of the target user on each game platform.

In the blockchain network, the same blockchain exists in the computing nodes of each node, in other words, the same blockchain exists in the computing nodes and game nodes. In the technical solution of the present disclosure, the blockchain uses at least It is used to store the accumulated game time of each game user and the appropriate game time of each game user.

Therefore, the synchronization is to enter the accumulated game time calculated by the target user into the chain, write it into the designated block of the blockchain, and then synchronize the accumulated game time of the target user To other computing nodes and game nodes, keep the blockchain stored in each node consistent. So far, the synchronization of the accumulated game time of the target user has been realized.

In the subsequent process, if the accumulated game time of the target user within the statistics period is updated, synchronization will be performed again.

Therefore, after synchronization, the game node corresponding to any game platform can obtain the accumulated game time of the target user from its own blockchain. For example, after the target user logs in, the target game server will start from Acquire the cumulative game time of the target user in the blockchain.

In the blockchain, in addition to storing the accumulated game time of the target user, it also stores the predicted suitable game time for the target user. In the calculation node, a regression model is also stored, and the regression model is used to predict an appropriate game duration for the target user.

The target user's historical game time information reflects the characteristics of the user's game play. Specifically, the target user's historical game time information records the target user's login time on the game platform, logout time, and the game platform where the target user is located. Thus, according to the historical game time information of the target user, feature extraction can be performed for the target user. The extracted features are, for example, the game duration on the game platform, the game duration in the set time segment, and the type of game played on the game platform. at least one of the Therefore, the appropriate game duration predicted for the target user based on the historical game time information of the target user is suitable for the target user.

The game type can be classified according to the content of the game, for example, according to the content, the game can be divided into: action game, adventure game, simulation game, role-playing game, casual game and others; it can also be classified according to the number of players in the game The determined games are, for example, classified according to the number of players: stand-alone games and multiplayer games. In a specific embodiment, the game platforms accessed can also be classified according to the classification rules customized in the blockchain network, so that under this classification rule, the game type of the game played by the target user can be determined correspondingly. .

In one embodiment, according to the log-in time and exit time of the target user's game platform included in the historical game time information of the target user, the game duration of the target user in several set time segments is calculated, and correspondingly based on the target user's The game type of the game being played is determined corresponding to the information of the game platform in the time segment (the information is, for example, the attribute tag of the game platform). Set the time segment such as 7:00-9:00, 9:00-10:00, 10:-12:00, 18:00-21:00, the time segment can be within a statistical cycle A segment may also be a time segment spanning multiple statistical periods, which is not specifically limited here.

In a specific embodiment, the appropriate game duration of each game user can be predicted on a periodic basis, such as once a day, once every two days, etc., thus, according to the latest historical game time information of the target user relative to the current cycle. Suitable for game duration prediction. And update the suitable game duration of the target user according to the cycle, that is, write the suitable game duration of the target user and the corresponding time into the blockchain, and synchronize the entire network.

Among them, the prediction of the appropriate game duration for the target user by the computing node can be performed once in each statistical cycle, or when the target user logs in to any target game server, according to the time relative to the target user's log-in game server The historical game time information is used to predict the appropriate game duration, which is not specifically limited here.

Specifically, in this embodiment, the prediction of the appropriate game duration for the target user is performed by calculating the regression model in the node.

Wherein, the regression model may be a linear regression model, a polynomial regression model, etc., which are not specifically limited here. It is worth mentioning that the regression model is trained based on several sample data.

In one embodiment, the calculation node generates game records corresponding to each game played by the user according to the game time information reported by each game node for the user, and the generated game records are used as sample data to train the pre-built model to obtain regression model.

Specifically, for each game record, the game platform where the user is, the time when the user logs in to the game platform, and the time when the game platform exits are recorded. Based on this, feature extraction is performed for each game record according to the game data before the game login time in each game record. Correspondingly, the game duration in the game record is used as the label of the game record. Therefore, the pre-built model is trained by using the features corresponding to several game records of several users and the corresponding labels to obtain a regression model.

In one embodiment, for each game record, the features extracted from the game data before the game login time relative to the game record may be: the game duration and the game duration one hour before the game login time Game type played, game time played and game type played in the last two hours, ... game time played and game type played in the previous 24 hours, game time played and game type played in the previous 48 hours type etc.

In one embodiment, before the model is trained through the sample data, the sample data is screened, for example, abnormal game records in the sample data are removed, such as game records with too short game duration and game records with too long game duration, so as to Ensure that the game records used for model training are normal game records.

The training performed is to train the parameters of the model according to the labels and features corresponding to several game records as training data. After the training, the parameters of the regression model are determined, so that the regression model can be used to predict the appropriate game duration for the target user according to the historical game time information of the target user.

Based on the cumulative game duration and suitable game duration calculated by the calculation node for the target user, the game node can control the target user's game according to the cumulative game duration and suitable gaming duration of the target user acquired from the blockchain.

In one embodiment, the game control performed may be to reject the target user's login request after the target user sends a login request to the game platform, thereby realizing the limitation of the target user's game time

In another embodiment, the game control can be: if the target user is playing a game on the game platform, prompt the target user to log off; or further, if the user fails to log off in time after prompting, force The user goes offline; or, if the target user is playing a game on the game platform, the user is directly forced to go offline.

In another embodiment, the game control can also be: if it is determined that the target user's accumulated game time is not lower than the appropriate game time, and the target user is playing the game, then increase the difficulty of the game played by the target user to promote The target user goes offline.

In another embodiment, the game control may also be: sending game timeout information to the supervisor of the target user, thereby prompting the supervisor of the target user that the accumulated game time of the target user is not less than the corresponding appropriate game time. The supervisor of the target user may be the target user's parents and other elders, thus, the game node sends the game timeout information to the terminal of the target user's parents for prompting.

In another embodiment, the game control can also be: if it is determined that the cumulative game time of the target user is not lower than the appropriate game time of the target user, lower the level of the game platform where the target user is currently located, so as to use this as the target The user's accumulated game time is not less than his own suitable game time. In a specific embodiment, when or before it is determined that the accumulated game time of the target user is not lower than the appropriate game time of the target user, a level reduction prompt is given to the target user, thereby prompting the target user to exit the current game platform in time.

By controlling the target user in the game, the target user is prevented from being addicted to the game.

In one embodiment, the method of the present disclosure may be used to control the game only for underage users, or it may be performed by all users, which is not specifically limited here.

By connecting each game platform to the blockchain network, it breaks the situation that the information between the game platforms is not interoperable. Therefore, the calculation node calculates the accumulated game time for the target user according to the game time information reported by the game node for the target user. Calculate and synchronize the cumulative game time, so that the game node can obtain the calculated cumulative game time for the target user from the blockchain and the predicted suitable game time to control the game for the target user to prevent the target user from being addicted to the game , which to a certain extent limits the duration of the target user's game.

Moreover, according to the target user's historical game time information, the target user is targeted to predict the appropriate game duration, so that personalized game control can be realized according to the target user's corresponding predicted appropriate game duration, and the game control is adapted to Based on the game situation of the target game user.

In the prior art, each game platform limits the duration of the game played by the user on the corresponding game platform according to the user account, but since the game duration is limited according to the user account, when the limited game duration is reached, the user usually logs in Other accounts continue to play the game, thus, the duration of the game cannot be effectively limited by the user.

However, due to the incommunication of information between various game platforms, the user continues to play the game by logging in to other game platforms after reaching the corresponding limited game time on one game platform. Therefore, the game control in the prior art is easy to be bypassed. Cannot effectively limit the length of time the user plays the game.

In the solution of this application, the decentralized technology of the blockchain is used to realize the intercommunication between multiple game platforms through the blockchain network, and the users are consensused in the blockchain network. Due to the user's The uniqueness of the identification information, so that the user account corresponding to the same identification information can be determined, and it is convenient to count the accumulated game time of the user playing games on each game platform. It can effectively solve the problem of circumventing the limit on game duration in the prior art by using multiple accounts or logging in to other game platforms.

In one embodiment, as shown in Figure 3, the processing method of game time information based on blockchain also includes:

Step 310, receiving the registration information reported by the game nodes corresponding to the game platforms for the game users, the registration information including the biometric information of the game users.

Step 330, according to the biometric information statistics, determine the game account set corresponding to the same biometric information on each game platform, and the game account set is used to count the accumulated game time of the target user on each game platform.

In this embodiment, while the game user registers an account on the game platform, the terminal correspondingly collects the user's biological feature information, and reports the user's biological feature information to the computing node through the corresponding game server.

Therefore, the computing node counts the game account sets corresponding to the same biological feature information on each game platform according to the user's biological feature information.

Therefore, in the subsequent calculation process of the accumulated game time for the target user, the reported game time information can be classified into the corresponding biological feature information according to the game account set corresponding to the same biological feature information, and then the target user can be calculated. cumulative game time.

So far, it can be understood that the block chain in the computing node is also provided with a block for storing the biometric information of the user, and the game account set under the biometric information is correspondingly stored in the block.

By counting the game accounts based on the user's biometric information, it is possible to prevent the same person from using multiple accounts to play games on the same game platform, or to use different game accounts to play games on different game platforms, so as to bypass the setting corresponding to the The game duration limit corresponding to the game platform.

In one embodiment, as shown in Figure 4, the processing method of the game time information based on blockchain also includes:

Step 410, acquiring historical game time information of the target user.

It is worth mentioning that the historical game time information of the target user includes the game time information historically reported by the game server corresponding to each game platform for the target user, so that according to the game time information, it can be correspondingly determined that the target user is on each game platform. The historical login time and historical logout time of . The historical login time and historical logout time are relative to the current time for the target user to play the appropriate game duration, that is, the login time of the target user logging in to any game platform before the current time is the historical login time. The log-in time of the target user logging out of any game platform before is the historical log-out time.

Step 430: Determine the game duration and game type of the target user in the set time segment according to the historical game time information.

Step 450: Predict the time according to the game duration in the set time segment and the game type of the game through the regression model, and obtain the appropriate game duration for the target user.

The game duration and game type of the target user determined in step 430 in the set time segment are the characteristics of the target user. Therefore, the regression model performs time prediction according to the characteristics of the target user, and obtains Appropriate game length for adaptation.

The set time segment can be set according to the time period corresponding to the acquired historical game time information. For example, the historical game time information relates to the game situation of the target user in the past 2 weeks, then it can be set in the past 2 weeks. The time segment is performed in the segment to obtain several time segments, and the time segment lists the last one hour, the last two hours, the last day, the last two days, and so on. In a specific embodiment, the set time segment and the number of set time segments can be set according to actual needs, and are not specifically limited here.

In one embodiment, as shown in FIG. 5, step 230 includes:

Step 510 , according to the biometric information of the target user, the accumulated historical game time of the target user within the statistical period is acquired.

Step 530: Update the historical accumulated game duration according to the game time information, and obtain the accumulated game duration of the target user within the statistical period.

Wherein, the historical accumulated game duration of the target user within the statistical period refers to the accumulated game duration calculated for the target user before the current game time information of the target user is received.

In other words, after the computing node receives the game time information reported for the target user, it determines that the target user received the game time information in the two receiving games according to the game time information received last time and the game time information received this time From the target user's game time information to the target user's game time, the determined game time is added to the historical cumulative game time, so as to realize the update of the historical cumulative game time, and correspondingly obtain the target user's game time in the statistical cycle. Cumulative game time.

Fig. 6 shows a flow chart of a blockchain-based game control method according to an embodiment of the present application, and the game control method is executed by game nodes in the blockchain. Referring to Figure 6, the blockchain-based game control method at least includes:

Step 610: Acquire the accumulated game time of the target user within the statistical period from the blockchain, and the computing nodes in the blockchain network will use the game time information reported for the target user by the game servers corresponding to the connected game platforms as the target user. The user accumulates the game time, obtains the accumulated game time, and synchronizes the accumulated game time in the blockchain network. as well as

Step 630, obtaining the suitable game duration predicted by the computing node for the target user. The suitable game duration is obtained by predicting the time based on the regression model in the computing node based on the historical game time information of the target user on each game platform.

Step 650, if the accumulated game time is not lower than the target user's suitable game time, then control the game for the target user.

The accumulated game duration stored for the target user in the blockchain of the computing node carries a timestamp, and the timestamp indicates the cumulative end time corresponding to the accumulated game duration. Therefore, what the server of the target user requests each time is the latest accumulated game time of the target user.

As described above, the game control performed by the game node on the target user can be to prompt the user to perform an offline operation, or to force the user to perform an offline operation if the target user does not perform an offline operation within the set time period for prompting the user to perform an offline operation. Go offline, or refuse the user to log in to the game platform, or increase the difficulty of the game played by the target user, reduce the level of the target user on the current game platform, send a game timeout prompt message to the supervisor of the target user, etc. When the game server detects that the cumulative game time of the target user is not less than the suitable game time of the target user, the game control of the target user is carried out for the purpose of limiting the game time of the target user, which limits the target user to a certain extent. The duration of the game to prevent users from getting addicted to the game.

Especially for underage users, the method of this embodiment can prevent users from being addicted to games.

In one embodiment, step 610 includes:

After detecting that the target user has logged into the game platform, the accumulated game time of the target user is obtained from the blockchain.

In this embodiment, after the target user is detected to log in to the game platform, the target user's cumulative game time can be obtained from the blockchain at a set time interval or from time to time, so as to monitor the target user's accumulated game time in real time. Whether the game duration is not less than the appropriate game duration for the target users.

It is worth mentioning that after the target user logs in to the game platform, the game node corresponding to the game platform reports the target user’s game time information to the computing node in real time, so that the computing node performs the target user’s accumulated game time information based on the target user’s game time information. The duration of the update.

In this embodiment, step 630 includes:

Increase the difficulty of the game played by the target user.

In this embodiment, since the target user has successfully logged into the game server, by increasing the difficulty of the game played by the target user, the user is prompted to log off the game platform, thereby achieving the purpose of limiting the duration of the game played by the target user.

In one embodiment, as shown in FIG. 7, the step of increasing the difficulty of the game played by the target user includes:

Step 710, acquire the game level information determined for the target user on the game platform where the game level information is determined based on the game data of the target user on the game platform where the game data includes the level information of the target user and/or the game Battle data.

The game level information is used to reflect the level of the user on the game platform.

Through the game battle data of the target user, the victory or defeat of the target user in the game battle can be obtained, such as the win-loss ratio, the number of wins and losses, and the duration of the target user's progress in a battle, regardless of the win-loss situation Either the duration of the battle or the duration of the battle can reflect the game level of the target user to a certain extent.

The level information for the target can reflect the current skills and comprehensive level of the user, and the level information also reflects the target user's game level to a certain extent.

Therefore, regardless of whether it is based on the game battle data of the target user on the game platform and/or the level information of the target user on the game platform, the game level information of the target user on the game platform can be determined correspondingly.

In a specific embodiment, a machine learning model can be constructed to determine the target user's game level information, specifically, the game level level is used as the game level information, so that the target user is the target user from the game data of the game platform where the target user is located. Perform feature extraction. The extracted features may be: the level of the target user, the skills held by the target user, the number of battles, the number of wins in the battle, the number of losses in the battle, the average duration of the battle, the shortest duration of the battle, etc. Then construct the feature vector of the target user based on the features extracted for the target user, so that the machine learning model obtained through training can predict the game level of the target user according to the feature vector of the target user.

Step 730, in the game played by the target user, configure a game scene with a difficulty coefficient higher than that corresponding to the game level information for the target user.

In one embodiment, the correspondence between the difficulty coefficient of the game scene and the user's game level information is preset, so that the difficulty coefficient corresponding to the target user's game level information is determined according to the set correspondence, and then the target user's game level information is determined. Users match game scenarios with higher difficulty coefficients.

In an embodiment, the difficulty coefficient of the configured game scene can be configured according to the target user's victory probability, for example, the difficulty coefficient of the game scene is configured according to the target user's victory probability is less than 50%. Certainly, in a specific embodiment, the victory probability referred to in configuring the difficulty coefficient may be set according to actual needs, and no specific limitation is made here.

Further, it is also possible to configure different levels of difficulty coefficients according to the excess duration of the target user's cumulative game duration exceeding the appropriate gaming duration. For example, assuming that the difficulty coefficient corresponding to the game level information of the target user is K, when the exceeding time is shorter than the threshold A, configure a game scene with a difficulty coefficient of K+2; when the exceeding time is greater than the threshold A and less than the threshold B, then Configure a game scene with a difficulty factor of K+4. In other words, the longer the timeout period is, the more difficult the game scene will be configured, thereby prompting users to go offline. Further, if the user exceeds the threshold D set for configuring the game scene, the user is forced to go offline. In other words, if the exceeding time is lower than the threshold D, a game scene with a high difficulty coefficient can be correspondingly configured in step 730, and when the exceeding time reaches the threshold D, the user will be forced to log off.

In a specific embodiment, depending on the game played by the target user, the method for configuring a game scene with a higher degree of difficulty is also different.

In an embodiment, if the game played by the target game user is a battle game, the target user may be matched with a battle game player whose game level is higher than that indicated by the target user's game level information.

In one embodiment, if the game played by the target game user is a stand-alone game, it is possible to match the target game user with an AI object whose game level is higher than that indicated by the target user's game level information, and reduce the appearance of gain skills in the game. Measures such as the probability of random occurrence of more complicated situations to increase the difficulty factor of the game scene played by the target user.

In another embodiment, as shown in FIG. 8, step 610 includes:

Step 810: Receive a login request from the target user, where the login request includes biometric information of the target user.

Step 830, according to the login request, the accumulated game duration corresponding to the biometric information is obtained from the blockchain.

In this embodiment, after the game node receives the target user's login request, it obtains the target user's latest accumulated game time and appropriate game time from the blockchain to determine whether to realize the target user's game through the target user's login request. control.

In this embodiment, performing game control on the target user in step 630 includes:

If the accumulated game time is lower than the appropriate game time, the target user's login request is passed.

If the accumulated game time is not less than the appropriate game time, the target user's login request is rejected.

After passing the login request of the target user, the game node reports the game time information of the target user to the computing node in real time, so that the game node can continue to control the game of the target user by increasing the difficulty of the game played by the target user.

By rejecting the login request of the target user, the target user is restricted from continuing to play the game under the condition that the accumulated game time is not lower than the appropriate game time of the target user. Similarly, in this case, even if the target user initiates a login request to other game platforms connected to the blockchain network through the terminal, the other game platforms will obtain the target user's accumulated game time according to steps 810-830, so as to correspond to to reject the target user's login request.

In one embodiment, the blockchain-based game control method also includes:

After the target user logs into the game platform, report the game time information of the target user to the computing node, so that the computing node can update the cumulative game time of the target user according to the game time information. The game time information includes game login time, game exit time and game progress At least one of the current times of .

After the target user logs in, the game server reports the game time information of the target user through the computing node, so that the computing node can update the cumulative game time of the target user in time, so that the game server controls the game of the target user according to the updated cumulative game time .

Fig. 9 is a flow chart of a blockchain-based game control method according to a specific embodiment. In this embodiment, the game server of the game platform is used as a game node for game control. As shown in Fig. 9, the game server The game control of the target user is realized through the following steps:

Step 910, receiving a login request from a target user.

Step 920, acquire the accumulated game time of the target user from the blockchain.

Step 930: Determine whether the target user's accumulated game time is lower than the target user's suitable game time, if yes, execute step 940, if not, execute step 990: reject the target user's login request.

Step 940, pass the target user's login request.

Step 950: Report the game time information of the target user to the computing node, so that the computing node updates the accumulated game time of the target user according to the game time information.

Step 960, acquire the updated cumulative game duration of the target user.

Step 970, continue to judge whether the updated cumulative game duration of the target user is lower than the target user's suitable game duration. If yes, go to step 950, if not, go to step 980.

Step 980, increase the difficulty of the game played by the target user.

The following introduces device embodiments of the present application, which may be used to implement the methods in the foregoing embodiments of the present application. For details not disclosed in the device embodiments of the present application, please refer to the above-mentioned method embodiments of the present application.

Fig. 10 is a block diagram of a blockchain-based game time information processing device according to an exemplary embodiment. The processing device 1000 of the game time information is configured in a computing node in the block chain network, as shown in FIG. 10 , the device includes:

The receiving module 1010 is configured to receive the game time information reported for the target user by the target game node corresponding to the game platform where the target user is currently located.

The accumulation module 1030 is used for accumulating the game time according to the game time information, and obtaining the accumulated game time of the target user playing games on each game platform connected to the blockchain network within the statistical period.

Synchronization module 1050, for synchronizing the cumulative game duration of the target user in the blockchain network, so that the target game node obtains the cumulative game duration from the blockchain network, and the cumulative game duration is not less than the target user's suitable game duration When the game is controlled for the target user, the appropriate game duration of the target user is obtained by the regression model in the calculation node and the time prediction based on the historical game time information of the target user on each game platform. The implementation process of the functions and functions of each module in the above device is detailed in FIG. 2 and the implementation process of the corresponding steps in the above game time information processing method, and will not be repeated here.

In one embodiment, the processing device 1000 for game time information based on blockchain also includes:

The registration information receiving module is used to receive the registration information reported by the game nodes corresponding to each game platform for the game users, and the registration information includes the biometric information of the game users.

The statistics module is used to statistically determine the game account set corresponding to the same biometric information on each game platform according to the biometric information, and the game account set is used to count the cumulative game time of the target user on each game platform.

In one embodiment, the game time information processing device 1000 also includes:

The historical game time information acquisition module is used to acquire the historical game time information of the target user.

The determination module is used to determine the game duration and the game type of the target user in the set time segment according to the historical game time information.

The prediction module is used to perform time prediction according to the game duration in the set time segment and the game type of the game through the regression model, so as to obtain the appropriate game duration of the target user.

For the implementation process of the functions and effects of each module in the above-mentioned device, please refer to the implementation process of the corresponding steps in the above-mentioned block chain-based game time information processing method for details, and will not be repeated here.

It can be understood that these modules can be implemented by hardware, software, or a combination of both. When implemented in hardware, these modules may be implemented as one or more hardware modules, such as one or more application specific integrated circuits. When implemented in software, the modules can be implemented as one or more computer programs executing on one or more processors.

Fig. 11 is a block diagram of a blockchain-based game control device according to an exemplary embodiment. The game control device 1100 is configured in a game node connected to the blockchain network, as shown in FIG. 11 , the blockchain-based game control device includes:

The cumulative game duration acquisition module 1110 is used to obtain the cumulative game duration of the target user in the statistical period from the block chain, and the computing nodes in the block chain network report the target user according to the game nodes corresponding to the connected game platforms. Game time information, accumulate game time for the target user, obtain the accumulated game time, and synchronize the accumulated game time in the blockchain network; and

The suitable game duration acquisition module 1130 is used to obtain the suitable game duration predicted by the calculation node for the target user. The suitable game duration is obtained by performing time prediction based on the regression model in the calculation node according to the historical game time information of the target user on each game platform of.

The game control module 1150 is configured to control the game for the target user if the accumulated game time is not lower than the suitable game time for the target user.

The implementation process of the functions and functions of each module in the above device is detailed in Figure 6 and the implementation process of the corresponding steps in the above blockchain-based game control method, and will not be repeated here.

In one embodiment, the accumulated game duration acquisition module 1110 includes:

The first accumulative game duration acquisition unit is used to acquire the accumulative game duration of the target user from the block chain after detecting that the target user has logged into the game platform.

In this embodiment, the game control module 1150 includes:

The difficulty increasing unit is used to increase the difficulty of the game played by the target user.

In one embodiment, the difficulty increasing unit includes:

The game level information acquisition unit is used to acquire the game level information determined for the target user on the game platform where the game level information is determined according to the game data of the target user on the game platform where the game data includes the level of the target user information and/or game play data.

The game scene configuration unit is used to configure a game scene for the target user with a difficulty coefficient higher than the difficulty coefficient corresponding to the game level information in the game played by the target user.

In another embodiment, the accumulated game duration acquisition module 1110 includes:

The login request receiving unit is configured to receive a login request of a target user, where the login request includes biometric information of the target user.

The second accumulative game duration acquisition unit is configured to acquire the accumulative game duration corresponding to the biometric information from the block chain according to the login request.

In this embodiment, the control module 1150 includes:

The login request passing unit is configured to pass the login request of the target user if the accumulated game time is lower than the appropriate game time.

The login request rejecting unit is used for rejecting the login request of the target user if the accumulated game time is not less than the appropriate game time.

In one embodiment, the blockchain-based game control device also includes:

The game time information reporting module is used to report the game time information of the target user to the computing node after the target user logs into the game platform, so that the computing node updates the cumulative game time of the target user according to the game time information. The game time information includes the game login time , at least one of the game exit time and the current time when the game is in progress.

For the implementation process of the functions and effects of each module/unit in the above-mentioned device, please refer to the implementation process of the corresponding steps in the above-mentioned blockchain-based game control method for details, and will not be repeated here.

It can be understood that these modules can be implemented by hardware, software, or a combination of both. When implemented in hardware, these modules may be implemented as one or more hardware modules, such as one or more application specific integrated circuits. When implemented in software, the modules can be implemented as one or more computer programs executing on one or more processors.

Fig. 12 shows a schematic structural diagram of a computer system suitable for implementing the electronic device of the embodiment of the present application.

It should be noted that the computer system 1200 of the electronic device shown in FIG. 12 is only an example, and should not limit the functions and scope of use of this embodiment of the present application.

As shown in FIG. 12 , a computer system 1200 includes a central processing unit (Central Processing Unit, CPU) 1201, which can be stored in a program in a read-only memory (Read-Only Memory, ROM) 1202 or loaded from a storage part 1208 to a random It accesses programs in the memory (Random Access Memory, RAM) 1203 to execute various appropriate actions and processes, for example, execute the methods in the above-mentioned embodiments. In RAM 1203, various programs and data necessary for system operation are also stored. The CPU 1201 , ROM 1202 , and RAM 1203 are connected to each other via a bus 1204 . An input/output (Input/Output, I/O) interface 1205 is also connected to the bus 1204 .

The following components are connected to the I/O interface 1205: an input section 1206 including a keyboard, a mouse, etc.; an output section 1207 including a cathode ray tube (Cathode Ray Tube, CRT), a liquid crystal display (Liquid Crystal Display, LCD), etc., and a speaker ; a storage section 1208 including a hard disk or the like; and a communication section 1209 including a network interface card such as a LAN (Local Area Network) card, a modem, or the like. The communication section 1209 performs communication processing via a network such as the Internet. A drive 1210 is also connected to the I/O interface 1205 as needed. A removable medium 1211, such as a magnetic disk, an optical disk, a magneto-optical disk, a semiconductor memory, etc., is mounted on the drive 1210 as necessary so that a computer program read therefrom is installed into the storage section 1208 as necessary.

In particular, according to the embodiments of the present application, the processes described above with reference to the flowcharts can be implemented as computer software programs. For example, the embodiments of the present application include a computer program product, which includes a computer program carried on a computer-readable medium, where the computer program includes program codes for executing the methods shown in the flowcharts. In such an embodiment, the computer program may be downloaded and installed from a network via communication portion 1209 and/or installed from removable media 1211 . When the computer program is executed by a central processing unit (CPU) 1201, various functions defined in the system of the present application are performed.

It should be noted that the computer-readable medium shown in the embodiment of the present application may be a computer-readable signal medium or a computer-readable storage medium, or any combination of the two. A computer readable storage medium may be, for example, but not limited to, an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination thereof. More specific examples of computer-readable storage media may include, but are not limited to, electrical connections with one or more wires, portable computer diskettes, hard disks, random access memory (RAM), read-only memory (ROM), erasable Programmable Read-Only Memory (Erasable Programmable Read Only Memory, EPROM), flash memory, optical fiber, portable compact disk read-only memory (Compact Disc Read-Only Memory, CD-ROM), optical storage device, magnetic storage device, or any suitable The combination. In the present application, a computer-readable storage medium may be any tangible medium that contains or stores a program that can be used by or in conjunction with an instruction execution system, apparatus, or device. In this application, however, a computer-readable signal medium may include a data signal propagated in baseband or as part of a carrier wave, in which computer-readable program codes are carried. Such propagated data signals may take many forms, including but not limited to electromagnetic signals, optical signals, or any suitable combination of the foregoing. A computer-readable signal medium may also be any computer-readable medium other than a computer-readable storage medium, which can send, propagate, or transmit a program for use by or in conjunction with an instruction execution system, apparatus, or device. . Program code embodied on a computer readable medium may be transmitted using any appropriate medium, including but not limited to: wireless, wired, etc., or any suitable combination of the above.

The flowchart and block diagrams in the Figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to various embodiments of the present application. Wherein, each block in the flowchart or block diagram may represent a module, a program segment, or a part of the code, and the above-mentioned module, program segment, or part of the code includes one or more executable instruction. 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 they may sometimes be executed in the reverse order, depending upon the functionality involved. It should also be noted that each block in the block diagrams or flowchart illustrations, and combinations of blocks in the block diagrams or flowchart illustrations, can be implemented by a dedicated hardware-based system that performs the specified function or operation, or can be implemented by a A combination of dedicated hardware and computer instructions.

The units described in the embodiments of the present application may be implemented by software or by hardware, and the described units may also be set in a processor. Wherein, the names of these units do not constitute a limitation of the unit itself under certain circumstances.

As another aspect, the present application also provides a computer-readable medium. The computer-readable medium may be included in the electronic device described in the above-mentioned embodiments; or it may exist independently without being assembled into the electronic device. middle. The above-mentioned computer-readable medium carries one or more programs, and when the above-mentioned one or more programs are executed by an electronic device, the electronic device is made to implement the methods in the above-mentioned embodiments.

It should be noted that although several modules or units of the device for action execution are mentioned in the above detailed description, this division is not mandatory. Actually, according to the embodiment of the present application, the features and functions of two or more modules or units described above may be embodied in one module or unit. Conversely, the features and functions of one module or unit described above can be further divided to be embodied by a plurality of modules or units.

Through the description of the above implementations, those skilled in the art can easily understand that the example implementations described here can be implemented by software, or can be implemented by combining software with necessary hardware. Therefore, the technical solutions according to the embodiments of the present application can be embodied in the form of software products, which can be stored in a non-volatile storage medium (which can be CD-ROM, U disk, mobile hard disk, etc.) or on the network , including several instructions to make a computing device (which may be a personal computer, server, touch terminal, or network device, etc.) execute the method according to the embodiment of the present application.

Other embodiments of the present application will be readily apparent to those skilled in the art from consideration of the specification and practice of the embodiments disclosed herein. This application is intended to cover any modification, use or adaptation of the application, these modifications, uses or adaptations follow the general principles of the application and include common knowledge or conventional technical means in the technical field not disclosed in the application .

It should be understood that the present application is not limited to the precise constructions which have been described above and shown in the accompanying drawings, and various modifications and changes may be made without departing from the scope thereof. The scope of the application is limited only by the appended claims.

Claims (10)

1. A processing method of game time information based on a block chain is applied to a computing node in a block chain network, and is characterized by comprising the following steps:

receiving game time information reported by a target game node corresponding to a game platform where a target user is currently located for the target user;

accumulating game time according to the game time information to obtain accumulated game time of the target user accessing each game platform in the block chain network to play in a statistical period;

and synchronizing the accumulated game time of the target user in the blockchain network so that the target game node obtains the accumulated game time from the blockchain, and performing game control on the target user when the accumulated game time is not less than the suitable game time of the target user, wherein the suitable game time of the target user is obtained by performing time prediction on a regression model in the computing node according to the historical game time information of the target user on each game platform.

2. The method of claim 1, further comprising:

acquiring historical game time information of the target user;

determining the game duration of the target user in a set time segment and the game type of the played game according to the historical game time information;

and predicting time according to the game time length in the set time segment and the game type of the played game through the regression model to obtain the suitable game time length of the target user.

3. The method of claim 1, further comprising:

receiving registration information reported by game nodes corresponding to each game platform for game users, wherein the registration information comprises biological characteristic information of the game users;

and determining a game account set corresponding to the same biological characteristic information in each game platform according to the biological characteristic information statistics, wherein the game account set is used for counting the accumulated game duration of the target user on each game platform.

4. A game control method based on a block chain is applied to game nodes in a block chain network, and is characterized by comprising the following steps:

acquiring accumulated game time of a target user in a statistical period from a block chain, accumulating the game time of the target user by a computing node in a block chain network according to game time information reported by game nodes corresponding to each accessed game platform for the target user, acquiring the accumulated game time, and synchronizing the accumulated game time in the block chain network; and

acquiring the suitable game time length predicted by the computing node for the target user, wherein the suitable game time length is obtained by predicting the time of a regression model in the computing node according to the historical game time information of the target user on each game platform;

and if the accumulated game time length is not less than the suitable game time length of the target user, performing game control on the target user.

5. The method of claim 4, wherein obtaining the accumulated game duration of the target user in the statistical period from the blockchain comprises:

after a target user is detected to log in a game platform, acquiring the accumulated game duration of the target user from a block chain;

the game control on the target user comprises:

increasing the difficulty of the game played by the target user.

6. The method of claim 5, wherein said increasing the difficulty of the game played by the target user comprises:

acquiring game level information determined for the target user on a game platform, wherein the game level information is determined according to game data of the target user on the game platform, and the game data comprises grade information and/or game fighting data of the target user;

and in the game played by the target user, configuring a game scene with a difficulty coefficient higher than that corresponding to the game level information for the target user.

7. The method of claim 4, wherein obtaining the accumulated game duration of the target user in the statistical period from the blockchain comprises:

receiving a login request of a target user, wherein the login request comprises biological characteristic information of the target user;

acquiring the accumulated game duration corresponding to the biological characteristic information from a block chain according to the login request;

the game control on the target user comprises:

if the accumulated game duration is less than the suitable game duration, the login request of the target user is passed;

and if the accumulated game duration is not less than the suitable game duration, rejecting the login request of the target user.

8. The method of claim 4, further comprising:

and after the target user logs in a game platform, reporting game time information of the target user to a computing node so that the computing node updates the accumulated game duration of the target user according to the game time information, wherein the game time information comprises at least one of game login time, game exit time and current time in game progress.

9. A processing device based on block chain game time information is applied to a computing node in a block chain network, and is characterized by comprising:

the receiving module is used for receiving game time information reported by a target game node corresponding to a game platform where a target user is currently located for the target user;

the accumulation module is used for accumulating the game time according to the game time information to obtain the accumulated game time of the target user accessing each game platform in the block chain network to play the game in a statistical period;

and the synchronization module is used for synchronizing the accumulated game time of the target user in the block chain network so that the target game node acquires the accumulated game time from the block chain, and performing game control on the target user when the accumulated game time is not less than the suitable game time of the target user, wherein the suitable game time of the target user is obtained by performing time prediction on a regression model in the computing node according to the historical game time information of the target user on each game platform.

10. A game control device based on a block chain is applied to game nodes in a block chain network, and is characterized by comprising:

the system comprises a block chain network, a cumulative game time acquisition module, a block chain synchronization module and a block chain synchronization module, wherein the block chain network is used for acquiring the cumulative game time of a target user in a statistical period from a block chain, and a computing node in the block chain network carries out game time accumulation on the target user according to game time information reported by game nodes corresponding to accessed game platforms for the target user to acquire the cumulative game time and synchronizes the cumulative game time in the block chain network; and

the suitable game duration obtaining module is used for obtaining the suitable game duration predicted by the computing node for the target user, and the suitable game duration is obtained by predicting the time of a regression model in the computing node according to the historical game time information of the target user on each game platform;

and the game control module is used for controlling the game of the target user if the accumulated game time is not less than the suitable game time of the target user.