JP4861731B2 - Game data management device - Google Patents

Description

  The present invention relates to a game data management device for managing game data of gaming machines installed in a game store.

  Conventionally, at game stores, for example, in order to increase the operating rate indicating the percentage of gaming machines in the game, for example, so-called unlimited services that allow continuous games after jackpots, drink services, and games Customer services such as point services that grant points may be implemented. If the customer service as described above is provided to a player who has reached a so-called stop time near the end of the game, the end of the game can be detained and the operating rate can be improved.

  On the other hand, game data management devices installed in game stores include, for example, those for the purpose of confirming the effects of customer service as described above. In such a game data management device, it is easy to confirm the effect of customer service by displaying game data at the time of customer service provision and game data at the time of normal business in a comparable manner (for example, Patent Literature 1).

  However, the conventional game data management apparatus has the following problems. In other words, the gaming data management device can analyze the effect of the customer service afterwards, but the management of the gaming store must judge empirically about the timing of providing the customer service, and the customer There is a problem that the effect of the service may be influenced by the sense of the managers.

JP 2003-033540 A

  The present invention has been made in view of the above-mentioned conventional problems, and intends to provide a game data management device capable of grasping a game trend of a player, in particular, a tendency at the time of stop, which is the timing of game end. It is.

The present invention is a game data management device for managing game data related to a gaming machine that generates a special game state advantageous to a player in addition to a normal game state,
Game end detection means for detecting the end of the player's game for each of the above gaming machines;
Game data totaling means for totaling the game data for each gaming machine;
Based on the end of the game detected by the game end detection means, the game end data that is the game data at the time when the player ends the game is extracted from the game data counted by the game data counting means , A game end data extraction means for associating the extracted game end data with the time left until the game is started by the next new player from the end of the game ;
Range setting for setting the data range that divides the numerical range that the game end data can take
Means,
For each data range set by the range setting means, the statistical processing of the game end data is performed on the gaming machine by executing statistical processing on the frequency of the game end data to which it belongs and the left time associated with it. Statistical processing means to be performed for each group of,
In the game data managing apparatus characterized by comprising said-out based on the statistical processing result of該統meter processing means the frequency of each data range, and a presenting means for presenting the standing time corresponding (claim 1) .

  The game data management device of the present invention, in addition to the game data totaling means for totaling the game data for each gaming machine, the game end detection means for detecting the end of the game of the player for each gaming machine, The game end data extracting means for extracting the game end data. According to the game data management device, it is possible to extract the game end data that is the game data at the time when the player finishes the game.

  Furthermore, the gaming data management device of the present invention comprises the statistical processing means for performing statistical processing for each group of the gaming machines, and the presentation means for presenting the stop time information based on the statistical processing results. The statistical processing result by the statistical processing means clearly represents the tendency at the time of stop indicating the timing at which the player of the gaming machine belonging to the group ends the game. Therefore, if the stop time information based on the statistical processing result is presented via the presenting means, an administrator or employee who uses the game data management device will stop when the player finishes the game. The time can be grasped with high accuracy.

  As described above, the game data management device of the present invention has an excellent characteristic capable of grasping the tendency when a player is stopped for each group of the gaming machines.

  Examples of the gaming machines managed using the game data management device of the present invention include pachinko machines (including sparrow balls) that use pachinko balls as game media, slot machines that use medals, coins, and the like as game media, and the like. Can be considered. Further, the slot machine includes a parrot (R) or the like using a pachinko ball as a game medium in addition to a narrow definition using a medal or coin as a game medium.

  Further, the game data that is totaled using the game data totaling means or the game end data that is extracted by the game end data extracting means is, for example, the quantity of the game media that the player has lent out. The difference between the number of sales, the number of outs that is the quantity of the game media that the player has driven into the game machine, and the difference between the number of safes that is the quantity of the game media that the game machine has paid out and the number of outs Balls, the number of start times representing the number of lotteries in the above gaming machine (in the case of a pachinko machine, the bonus role lottery in the slot machine), the number of the above-mentioned game media possessed by the player, It is possible to adopt a balance or the like in the case where the balls are exchanged for prizes.

  In addition, as the group of gaming machines, the group for each gaming machine model, the group for each gaming island, the group for each type, for example, the probability of becoming a special gaming state is similar, In addition to being able to set a group of models with similar game characteristics such as a similar game appearance rate at the time, all the gaming machines installed in the game store can be set as one group.

  In addition, as a method of presenting the stop time information based on the statistical processing result by the presenting means, for example, a method of displaying on a display screen such as a liquid crystal display, or a voice or sound using a speaker or the like. There are various methods such as a method of presenting, a method of presenting using a display lamp such as an LED, and a method of presenting by printing with a printing means such as a printer.

In addition, at least game state detection means for detecting the end of the special game state is provided, and the game end data extraction means is configured to detect the game end from the end point of the special game state detected by the game state detection means. It is preferable that the game data until the game end point detected by the above is extracted as the game end data .
In this case, based on the game end data counted from the end point of the special game state, the player can grasp the tendency when the player ends the game after acquiring the special game state.

In addition, it has the range setting means for setting a data range that divides a numerical range that the game end data can take, and the statistical processing means sets the data set using the range setting means. The frequency of the game end data belonging to the range is aggregated, and the presenting means selectively selects a part of each data range based on the frequency and distinguishes it from other data ranges. It is preferable to be configured to display as possible .

  In this case, the tendency of the game end data to be distributed can be grasped based on the frequency of the game end data belonging to each data range. Furthermore, according to the presenting means for selecting and displaying a part of each data range so as to be identifiable, the data range selected from all the data ranges can be displayed easily. For example, the data range to which the player's stop time belongs can be displayed in an identifiable manner, or the data range to which the timing to provide benefits such as customer service for delaying the player's stop time can be identified. can do.

  As a method for selecting the partial data range, for example, a method for selecting a data range whose frequency is maximum (or minimum), and a method for selecting a data range whose frequency is greater than or equal to a threshold value (or less). There are various methods such as a method of selecting a data range in which the frequency has an extreme value. In addition, as a method for displaying the partial data range in an identifiable manner, for example, a method for inverting the partial data range on a display screen such as a liquid crystal display, a method for displaying colors, a mark, There are various methods, such as a method of displaying with a mark.

Further, the statistical processing means performs the statistical processing by excluding the game end data from which the game end time detected by the game end detection means falls within a predetermined time range before closing the store. It is preferable to be configured .
In general, within a predetermined time range before closing a store, there is a case where a game is ended in consideration of the closing time. Therefore, compared with other time zones such as morning, daytime, and evening, there is a possibility that different factors are included as motivation for the end of the game. Therefore, as described above, when the statistical processing is performed by excluding the game end data whose game end time is within the predetermined time range before closing the store, adverse effects that the game end data may have can be suppressed. Further, the reliability of the statistical processing result can be further improved.

In addition, each player has a possession calculating means for calculating a possession which is the quantity of game media possessed at the end of the game,
It is preferable that the statistical processing means is configured to perform statistical processing by excluding data relating to players whose game balls are less than a predetermined value set in advance from the game end data .

  In this case, the possession ball (in a broad sense, including medals etc. in the slot machine) above the predetermined value is owned and the game can be continued for some reason. Statistical processing on the above-mentioned game end data relating to a player who has given up on the gaming machine and ended the game can be performed with high accuracy. Therefore, it becomes possible to grasp the tendency of the player who stops giving up the gaming machine and finishes the game as described above.

Example 1
This example is an example related to the game data management apparatus 1 that manages game end data at the time when the player ends the game. The contents will be described with reference to FIGS.
As shown in FIG. 1, the game data management device 1 of this example is a device for managing game data related to a gaming machine 2 that generates a special game state advantageous to the player in addition to the normal game state.
The game data management device 11 includes a game end detection unit 12 that detects the end of a player's game for each gaming machine 2, a game data totaling unit 11 that totals game data for each gaming machine 2, and a game end detection unit. Based on the end of the game detected by 12, the game end data extracting means 16 extracts the game end data, which is the game data at the time when the player ends the game, from the game data that the game data totaling means 11 counts. And statistical processing means 18 for performing statistical processing of the game end data for each group of gaming machines (in this example, for each model of gaming machine 2), and when to stop based on the statistical processing result by the statistical processing means 18 Presenting means 19 for presenting information is provided.
This content will be described in detail below.

  As shown in FIGS. 1 and 2, the game data management device 1 of this example is connected to a plurality of gaming machines 2 through a communication network 30 in a communicable state. Each gaming machine 2 is connected to the communication network 30 via the repeater 22 together with the stand lamp 21 and the individual information terminal 23. The game data management device 1 is connected to the communication network 30 via a built-in communication port (not shown). In FIG. 1, the stand lamp 21, the individual information terminal 23, and the repeater 22 are omitted.

  In this example, as shown in FIG. 1 and FIG. 2, a CAN (Controller Area Network) is adopted as the communication network 30. In addition, as a communication network, it can replace with CAN of this example, and can employ | adopt various specifications, such as LAN standards, such as MOST and Ethernet (R).

  As shown in FIGS. 1 and 2, the gaming machine 2 of this example is a pachinko machine called a so-called seven machine. The gaming machine 2 has a safe signal for every 10 balls to be paid out, the number of times of action of a feature (seven in which a jackpot lottery is performed according to a winning at a specific winning slot as in this example, and a symbol variation is performed based on the jackpot lottery. If the machine is to be managed, the start signal indicating the number of winnings at a specific winning opening, the number of lottery lottery draws, or the number of symbol variations, etc.) As a result of the variation, the jackpot symbol is displayed, and the jackpot signal indicating that the specific winning opening is opened and the payout rate is high.) Is output as a game signal. The out signal, which is one of the game signals, is a signal output by a ball collecting device (not shown) installed corresponding to the gaming machine 2. This ball collection device is configured to output an out signal once for every 10 balls collected.

  Instead of the gaming machine 2 of this example, a gaming machine 2 that directly outputs an out signal indicating the number of balls fired (dried) by the player may be employed. In this case, the ball collecting device can be omitted. Furthermore, the gaming machine 2 is not limited to the pachinko machine of this example, and may be a gaming machine such as a slot machine.

As shown in FIG. 2, the pedestal lamp 21 is a display device that is disposed vertically above each gaming machine 2. The stand lamp 21 is provided with a data display section (not shown) for displaying various information in the center.
As shown in FIG. 2, the repeater 22 converts the game signal of the gaming machine 2 into communication data on the communication network 30, and takes in the communication data output from the game data management device 1, The lamp 21 is converted into data that can be processed. The repeater 22 sends the game signal and the like to the communication network 30 in a state where the machine IDs of the respective gaming machines 2 are associated with each other, and captures communication data associated with the machine ID from the communication network 30 side. It is configured.

  As shown in FIGS. 2 and 3, the individual information terminal 23 is installed in a space between the adjacent gaming machines 2 so as to individually correspond to the gaming machines 2. The individual information terminal 23 includes a money insertion slot 232 for inserting money as a money lending price, a touch panel type liquid crystal display unit 230 for displaying game information and the like, a ball nozzle 234 for supplying the game money to the gaming machine 2, A card slit 231 for inserting a member card is provided.

  The individual information terminal 23 includes a sales signal for each predetermined number of balls (in addition to a predetermined number of balls, a predetermined amount), a card insertion signal indicating that a membership card has been inserted, The card ID of the inserted member card and the card discharge signal indicating that the member card has been removed are output to the game data management device 1. The individual information terminal 23 may be configured to output a card insertion flag indicating the insertion state of the member card. In this case, it is possible to manage the insertion and removal of the membership card according to the card insertion flag.

  As shown in FIGS. 1 and 2, the game data management apparatus 1 includes a liquid crystal display 103 that constitutes the presentation means 19, an apparatus main body 101 that executes various arithmetic processes, and an input means 102 that includes a keyboard and a mouse. ing. The game data management device 1 is configured to receive game signals such as an out signal and a safe signal of each gaming machine 2, a sales signal output from the individual information terminal 23, a card insertion signal, a card discharge signal, and the like.

  As described above with reference to FIG. 1, the game data management device 1 of the present example includes a game data totaling unit 11 that totals game data for each gaming machine 2, and a game end detection unit that detects the end of the game by the player. 12, game end data extracting means 16 for extracting game end data, which is game data at the time of ending the game, statistical processing means 18 for performing statistical processing of game end data, and stop-time information based on statistical processing results Presenting means 19 for presenting.

  In addition to the above configuration, the game data management device 1 of this example generates a game history record (in this example, a game end record or a last jackpot record described later) made up of game data, as shown in FIG. To distinguish the history generation means 14, the data storage means 15 for storing game history records, the gaming state detection means 13 for detecting the end of the special gaming state (in this example, the big hit state), and the game end data. Range setting means 17 for setting the data range.

  As shown in FIGS. 1 to 3, the game data totaling means 11 is a means for taking in and summing up the sales signal, the out signal, the safe signal, the start signal, the jackpot signal, and the like. Here, the sales signal is a signal that the individual information terminal 23 outputs according to a predetermined number of balls. The out signal is a signal output by a ball collection device (not shown) in response to 10 collection balls. The safe signal, the start signal, and the jackpot signal are signals output from each gaming machine 2.

  The game data totaled by the game data totaling means 11 of this example includes sales balls representing the number of balls lent to the player, out numbers representing the number of balls that the player has driven into the gaming machine 2, and the gaming machine 2 is playing Owned by the player, a difference ball representing a value obtained by subtracting the safe number representing the number of balls paid out to the player from the out number, S representing the total number of start times, an end S representing the number of start times from the last jackpot to the end of the game, There are data on the number of balls that represent the number of balls and balance data that represents the player's profit and loss.

  The game end detection means 12 is means for detecting the end of the game by the player based on a card insertion signal, a card ejection signal, etc. received from the individual information terminal 23 as shown in FIGS. Note that it is also possible to detect the end of the game based on information input by a remote controller such as an employee in charge of the floor who recognizes the start or end of the game. Furthermore, it is also possible to detect the end of the game due to customer change according to the non-operating time, or to detect the end of the game due to customer change according to the occurrence of sales after non-operation.

The gaming state detection means 13 is means for detecting the occurrence of a jackpot and the end of the jackpot based on the jackpot signal output by the gaming machine 2.
The game history generation unit 14 generates a game history record for each player of each gaming machine in accordance with the game end detected by the game end detection unit 12 or the occurrence or end of the jackpot detected by the game state detection unit 13. Means. In this example, as shown in FIG. 4, a game history record for each player is generated for each gaming machine.

  Here, the contents of the game history record generated by the game history generating means 14 will be described with reference to FIG. “Record No.” in the figure indicates the number of the game history record updated for each player. The occurrence time indicates the time when the corresponding game history record is confirmed, that is, the end time of the final jackpot if it is the final jackpot record, and the time of game end if it is the game end record. As for the occurrence time, it is only necessary to specify the time to which the game history record belongs, and other times such as the time when the game history record is created and the time when the jackpot occurs can also be set.

  As shown in FIG. 4, the game history record includes a final jackpot record made up of game data accumulated from the start of the game until the end of the last jackpot state (“Last Bonus” in the figure). And a game end record (shown as “game end” in the figure) consisting of game data accumulated between the end of the last jackpot state and the end of the game by the player. is there. Note that for a player who has finished the game without generating a jackpot once, a final jackpot record is not generated and only a game end record is generated. For example, in FIG. 3 or record No. This corresponds to 6 game history records.

The sales balls in FIG. 4 represent the number of balls lent by the individual information terminal 23.
The number of outs represents the number of pachinko balls that the player has driven into the gaming machine 2. The number of outs in the final jackpot record represents the number of pachinko balls that have been struck between the start of the game and the end of the final jackpot. The number of outs in the game end record represents the number of pachinko balls that have been shot in between the end of the final jackpot and the end of the game.

  The difference ball in FIG. 4 is obtained by subtracting the safe number, which is the number of pachinko balls paid out by the gaming machine 2, from the out number. The difference ball in the final jackpot record indicates a value from the start of the corresponding player to the end of the final jackpot. The difference ball in the game end record indicates a value between the end of the final jackpot and the end of the game. S indicates the total number of starts in the target game period. S in the final jackpot record represents the number of start times from when the corresponding player starts to play until the final jackpot ends. S in the game end record represents the number of start times from the end of the final jackpot to the end of the game.

The end S in FIG. 4 indicates the number of start times since the last jackpot has ended. Therefore, the end S in the final jackpot record is zero. Therefore, this end S is set only in the game end record and is blank in the final jackpot record.
The jackpot number is the number of jackpots that occurred in the last jackpot record. The game end records that are game history records that do not include jackpots all have zero jackpot numbers. Therefore, the jackpot number field in the record is blank.

  4 is a quantity calculated based on the sales volume (sales volume, sales amount, etc.), the number of outs, and the number of safes as the quantity of game media owned by the player. It is a value calculated by a calculation formula of (ball-difference ball). The holding ball in the final jackpot record represents the number of game media possessed when the final jackpot ends. The possession ball in the game end record represents the quantity of game media possessed at the end of the game. As described above, the game history record of this example includes game data of a game. Therefore, in the case of this example, the game history generation means 14 includes a function as a possession ball calculation means.

  The balance in FIG. 4 is game data representing the balance of the player at the end of the game. This balance is set in the game end record and blank in the final jackpot record. In this example, the unit price for lending is set to 4 yen / piece, and the unit price for special prizes is set to 3 yen / ball, so the balance is (the number of balls in the game end record x 3 yen-sales balls) X4 yen) is calculated by the following formula.

  Next, as shown in FIG. 1, the data storage means 15 is means for storing the game history records (in this example, the game end record and the final jackpot record) generated by the game history generation means 14 as described above. Further, the data storage means 15 of this example sets a jackpot occurrence S indicating the number of start times until the next jackpot is generated after the previous jackpot is ended (or after the game store is opened) for each gaming machine 2. I remember every jackpot.

  The game end data extraction means 16 is means for extracting game end data that is the game data at the time when the player finishes the game. In this example, based on the game end record or the last jackpot record stored in the data storage means 15, game end data that is game data at the time when the player ends is extracted. A specific extraction method will be described later with reference to the flowchart shown in FIG.

  The range setting means 17 is a means for setting a data range for dividing the numerical range of the game end data extracted as described above. The range setting means 17 is configured to take in the data range input via the input means 102 and store it in a storage means (not shown).

  The statistical processing means 18 is means for performing statistical processing on the game end data extracted by the game end data extraction means 16. In this example, a statistical process related to the end S as the game end data is performed. Specifically, the frequency of the end S belonging to each data range set using the range setting means 17 was counted. As will be described later in the second embodiment, a difference ball, a holding ball, a balance, etc. may be set as the game end data.

  The presenting means 19 is means for displaying stop time information based on the statistical processing result on the liquid crystal display 103. The presenting means 19 displays the frequency distribution of the end S belonging to each data range category for each game end data (see FIG. 10). In particular, the presenting means 19 of the present example reversely displays the data range in which the frequency exceeding the threshold is obtained among the data ranges. In this example, as the threshold value, a count average which is an average value of frequencies in the entire data range is set. In addition, as a presentation method of the presentation means 19, it can replace with a frequency distribution table like this example, and can also employ | adopt other presentation methods, such as a graph.

Next, operation | movement of the game data management apparatus 1 of this example comprised as mentioned above is demonstrated along the flowchart shown in FIGS.
The overall flow of processing by the game data management apparatus 1 will be described with reference to FIG. The game data management device 1 performs card ID input processing P1, game signal input processing P2, jackpot signal input processing P3, and game end data extraction processing P4 (including statistical processing) in this order.

  The flow of the card ID input process P1 will be described with reference to FIG. In the card ID input process P1, first, as in step S101, it is determined whether or not a member card is being inserted. If a membership card is being inserted, card ejection is monitored as in step S112. When the card is ejected (step S112), the timer operation is started as in step S113.

If the membership card is not inserted (step S101), it waits for the membership card to be inserted (step S102) until the operating timer expires as in steps S123 and S124. When the member card is inserted (step S102), the card ID read from the member card is compared with the card ID read before, as in step S103. If the read card ID is new, a new game end record is created as a game history record as in step S104. Then, the end S of the previous game end record is substituted for the end S of the new game end record as in step S105, and then the timer operation is stopped as in step S106.
On the other hand, when the membership card is not inserted and the time is up (steps S123 and S124), a new game end record is created, and the above-described steps S104 to S106 are executed to stop the timer operation.

The flow of the game signal input process P2 will be described with reference to FIG. In the game signal input process P2, it is first determined whether or not an out signal has been input as in step S201. When an out signal is input, the out number is added as in step S202. In step S211, it is determined whether a safe signal is input. When a safe signal is input, the safe number is added as in step S212. In step S221, it is determined whether a start signal is input. When a start signal is input, the number of start times is added as in step S222. In step S231, it is determined whether a sales signal has been input. When a sales signal is input, sales balls are added as in step S232.
Thereafter, in processing step P21, the number of outs, the number of safes, and the sales balls are used to perform calculations such as holding balls and balance.

  The flow of the jackpot signal input process P3 will be described with reference to FIG. In the jackpot signal input process P3, first, as in step S301, it is determined whether or not the jackpot flag indicating 1 is a jackpot state. If the jackpot flag is 1, it is determined whether or not the jackpot signal has been input as in step S302. When the input of the jackpot signal is completed, the jackpot flag is set to zero as in step S303.

  When it is the first jackpot of the player as in step S304, the process proceeds to step S305 to create a new final jackpot record, and for each game data of the final jackpot record as in step S306, each of the game end records. The game data is added (since the game data of the final jackpot record immediately after creation is all zero, the game data is substantially substituted for the game end record). Thereafter, as in step S307, each game data of the game end record is reset to zero, and in step S308, the current time is set as the time of occurrence of the final jackpot record.

  On the other hand, if it is the second or more jackpot of the corresponding player (step S304), each game data in the game end record is added to each game data in the final jackpot record as in step S306. Then, each game data in the final jackpot record is updated. Thereafter, as in step S307, each game data in the game end record is reset, and the current time is set as the time of occurrence of the final jackpot record (step S308).

  On the other hand, when the jackpot flag is not 1 (step S301), the start of the jackpot signal input is monitored as in step S312. When the input of the jackpot signal is started, 1 (ON) is set in the jackpot flag as in step S313, and 1 is added to the jackpot number as in step S314.

  The flow of the game end data extraction process P4 will be described with reference to FIG. The game end data extraction process P4 is a process of extracting game end data for each player from the game history record and performing a statistical process. In this example, the end S is set as the game end data to be extracted. In addition, as a game end data to be extracted, a sales ball, a difference ball, a balance, S, or the like may be set.

  In this game end data extraction process P4, it is first determined whether or not the extraction condition is satisfied as in step S401. The extraction condition can be set, for example, a data output operation, a predetermined time, or a game history record updated. In step S402, it is determined whether there is a game history record to be extracted.

  Here, for example, when the game end data to be extracted is the end S, all game end records are to be extracted. Instead, in order to extract the game end data of the player after the jackpot (for example, the difference ball, the holding ball, etc.), only the game end record in the game history record of the record No including the final jackpot record is to be extracted. Can also be set. In addition, in order to extract game end data (for example, sales etc.) only for a player who has not won the jackpot, only the game end record in the game history record of the record No that does not include the final jackpot record is set as the extraction target. You can also. Furthermore, in order to extract all the game data for one player, both the game end record and the final jackpot record can be set as extraction targets.

  As described above, the game history record set as the extraction target is preferably set as appropriate according to the type and purpose of the game end record to be extracted. The purpose here means, for example, the purpose of grasping the stop time of a player who has finished the game without reaching a big hit as described above, the purpose of grasping the stop time after the possession runs out after the big hit occurs, etc. is doing. In the former case, only the game end record of the game history record that does not include the final jackpot record as described above is targeted, and in the latter purpose, the game of the game history record that includes the final jackpot record as described above. It is preferable to set a game history record to be extracted according to the purpose of extraction, such as targeting only the end record.

If there is a game history record to be extracted (step S402), the process proceeds to step S403 to extract game end data. Then, as in step S403, the frequency of the corresponding data range is incremented for the extracted game end record. Further, as in process step P41, the calculation for obtaining the average end S, the count sum, the count average, and the like is performed. In subsequent step S405, among all the sections of the data range, the section in which the frequency exceeding the count average is obtained is displayed in reverse.
The process as described above was performed for all game history records to be extracted as in step S406.

  Next, statistical processing results presented using the presenting means 19 will be described with reference to FIGS. FIG. 10 shows the frequency distribution of the end S in the game end record for the models A, B, and C. In the figure, eight divisions of 0-100, 101-200, 201-300, 301-400, 401-500, 501-600, 601-700, 701 or more are set as the data range.

  In the figure, the average end S is the average value of the end S for each model. The count sum is the sum of the frequencies in the entire data range. The count average is an average value of the frequencies in each data range. The mode value is the value of the end S that has the highest extraction frequency among all the sampled end S.

  FIG. 11 is a graph in which the same data range as in FIG. 10 is set for the jackpot occurrence S and the frequency distribution is examined. The jackpot occurrence S represents the number of starts from the jackpot occurrence (from the opening of the game store) to the next jackpot occurrence, as described above, and is game data that does not take into account the replacement of players during that time. That is, the jackpot occurrence S is not game end data related to the game end. And the frequency of each data range in FIG. 11 is different in meaning from the frequency in FIG.

  The frequency in FIG. 11 is obtained by adding the frequency of each data range smaller than the data range to the data range to which each big hit occurrence S belongs. For example, when the jackpot occurrence S is 450, the frequencies in the five data ranges of 0-100, 101-200, 201-300, 301-400, 401-500 are added one by one. Note that the average jackpot S, count sum, and count average in FIG. 11 are the same as the average S, count sum, and count average in FIG.

  Further, in this example, a new statistical processing result is generated as shown in FIG. 12 based on the statistical processing result at the end S in FIG. 10 and the statistical processing result at the jackpot occurrence S in FIG. FIG. 12 displays the end rate, which is the ratio of the frequency of end S (FIG. 10) to the frequency of jackpot occurrence S (FIG. 11) for each data range. In addition, the lowest level in FIG. 12 shows an average value for each model.

  In FIG. 10 and FIG. 12, the data range in which the frequency exceeding the count average is displayed in reverse so as to be distinguishable from other data ranges. In addition, as a threshold value for selecting a data range to be displayed in an identifiable manner, an arbitrary threshold value such as 30% of the total count can be set instead of the average count in this example.

  As is clear from FIGS. 10 and 12, when the player of the gaming machine 2 of each model A, B, C ends the game, it belongs to the highlighted data range. According to the game data management device 1 of the present example, the data range to which the stop time belongs is displayed in reverse video, so the manager or the like can grasp the stop time for each group of gaming machines 2 very easily and intuitively. It becomes possible to do.

  As described above, according to the game data management device 1 of this example, it is possible to accurately grasp the stop time, which is the timing at which the player ends the game for each group of gaming machines 2. If the stop time can be grasped with high accuracy, the game shop can be operated efficiently.

  If the stop time for each group of gaming machines 2 is known, it is possible to take measures to direct the game to continue in response to the stop time. For example, as in the case of the model A in this example, when there is a stop time in the data range classification of 101 to 200 end S or 301 to 400 end S (see FIG. 10 or FIG. 12), the end S is If customer service is provided when it reaches 200 times or when it reaches 400 times, there is a possibility that each player may shift the stop time backward for the purpose of the customer service or the like.

  Further, for example, at the initial game time point of the data range at the time of stopping, for example, at the game time point when the end S exceeds 100 or 300 in the case of the model A, the player wants to stick and play the game as it is. It is also possible to provide customer service or foresee customer service. Furthermore, it is also possible to notify the player who has reached the time of stoppage of recommended game machine number information and the like. In this case, the game machine can be changed and the game can be continued.

  Note that the customer service includes various services such as a member point award service, a “profit information” notification service that increases the degree of advantage of the game, an excellent lottery lottery service, and a drink service. Here, various methods such as a method of notifying the “profit information” and a method of notifying the customer service include a method of using an individual game information terminal 23 and a method of using a centralized information display device (not shown). There is.

  In addition, as a method of providing benefits such as the above customer service, there is a method of providing individually to a player who has reached the data range at the time when the game data being counted has stopped. Instead, for a group of gaming machines 2 having a high occupancy rate of players who have stopped, privileges can be given to all players at once.

In addition, in this example, statistical processing is performed by grouping for each type of gaming machine, but instead, statistical processing is performed on a group for each type, a group for each type, or a group for all gaming machines. It is also good to do. In addition, for example, statistical processing may be performed by combining a plurality of game end data, such as obtaining a frequency distribution of the end S for each range set for the number of jackpots. In this case, for example, when the number of jackpots is in the range of 5 to 10, the stop time information can be grasped in detail, such as where the stop time for the end S is.
Furthermore, in this example, the frequency distribution is examined for the game end data relating to the end S, but instead, the frequency distribution may be examined for other game end data such as S and the number of jackpots. Moreover, as a presentation mode of the stop time information instead of the frequency distribution of this example, there are other display modes such as a graph.

In addition, regarding the setting of the data range, in this example, a uniform section width is set, but a non-uniform section width can be set.
Furthermore, as a method of arranging the data ranges in FIGS. 10 to 12, the data ranges may be displayed in order from the data range having the highest frequency. Furthermore, the division by the data range can be abolished and the frequency distribution for each value of the game end data can be displayed. Further, the game end data may be arranged and displayed in order of decreasing frequency.

  It is also possible to exclude game end data related to the end of the game within one hour before closing from the statistical processing target. Another factor may be motivation to end the game in the above-mentioned time zone, such as trying to end the game in a good place because the store is closing soon. Therefore, if the game end data as described above is excluded, the noise at the time of statistical processing can be suppressed and the stop information of the player can be extracted with high accuracy. Furthermore, statistical processing may be performed by excluding game end data relating to a player whose holding ball at the end of the game is less than a predetermined value set in advance.

Furthermore, in order to suppress noise in statistical processing, it is also effective to exclude game end data in a specific game state in which jackpots are likely to occur, such as probability changes and time reductions where the player is unlikely to end the game. . In order to exclude the game end data in the specific game state, the gaming machine 2 is preferably configured to output a specific game state signal representing the specific game state.
Furthermore, as the timing for excluding the game end data as described above, various timings such as data aggregation, data extraction, and statistical processing can be set. As a result, the game end data as described above is excluded. It suffices if statistical processing can be performed.

  Note that the presentation means 19 may be used to display the mode value that is the value of the end S having the highest frequency. Furthermore, it is also possible to obtain the timing for granting a privilege based on the stopping time of each model grasped based on FIGS. 10 to 12 and to reversely display the data range corresponding to this timing. In this case, it becomes easy for the administrator or the like to recognize the timing when the privilege should be given.

Moreover, based on FIGS. 10-12, the suitable timing for providing the characteristic of each model AC and a privilege, such as customer service, can be grasped | ascertained as follows.
First, classification No. The tendency that the frequency of one data range is small is common to the models A, B, and C. This is due to the short time that each model A, B, C performs after the jackpot ends (the gaming state in which the opening time of the electric tulip that starts the jackpot lottery is extended and the lottery time is shortened). Model A has a classification No. 2 and Category No. No. 4 data range end rate or end S frequency is high. 3 and Category No. It can be seen that the end rate of 5 or the frequency of end S is relatively low. On the other hand, model B has a classification No. 3 and Category No. The end rate of the data range 5 or the frequency of the end S is high. 4 and Category No. It can be seen that the end rate of 6 or the frequency of end S is relatively low.

Based on this, in model A, the end S is a classification No. 3 or Category No. If the privilege is given to the corresponding player at the timing belonging to the data range of No. 5, the classification No. 2 or Category No. There is a possibility that the end rate (frequency of end S) in the data range of 4 can be reduced. Similarly, for model B, category No. 4 or Category No. If a privilege is given to a player in the data range of 6, the classification No. 3 or Category No. There is a possibility that the end rate (frequency of end S) in the data range of 5 can be reduced.
Models A and B have the same average jackpot occurrence S, while model B has a higher average end S. Based on this, it is understood that the model B has a tendency for the player to continue the game, that is, is popular.

  Model C has a classification No. 1, Category No. 2 and Category No. It has a gameability that jackpots are likely to occur in the 6 data ranges. For model C, category No. 1, Category No. 2 and Category No. The end S in FIG. 6 or the end rate is high. That is, in the model C, many players tend to grasp the above-described game characteristics and end the game according to the game characteristics. Therefore, in the model C, the classification No. 2 and Category No. Section No. 6 between It is preferable to give a privilege around the data range of 4. Thereby, the classification No. The motivation of the player who has stopped around the data range of No. No. 4 can be maintained, and the category No. that is likely to generate a big hit The game can be directed to continue until 6.

(Example 2)
This example is an example in which statistical processing is performed on game end data other than the end S based on the game data management device of the first embodiment. The contents will be described with reference to FIGS.

  FIG. 13 shows the frequency distribution of the difference balls read from the game end record for the models A, B, and C. In the figure, the data range is a minimum data range of 0 to 500 and a maximum data range of 8001 or more, and the middle is divided every 500.

FIG. 14 shows the frequency distribution of the holding balls read from the game end record for the models A, B, and C. As a data range in the figure, a minimum data range of 0 to 500 and a maximum data range of 8001 or more are set, and the middle is divided into every 500.
In FIG. 13 and FIG. 14, the “box number” column provided on the right side of each model column is a storage box (so-called dollar box) that is required for each of the difference balls or holding balls. Indicates the number of In this example, a storage box with a storage capacity of 1800 was used.

  13 and 14 show the results of performing statistical processing by excluding the game end records (record No. 3 and record No. 6 in FIG. 4) of the player who has not won the jackpot. In FIG. 13 and FIG. 14, the game end record of the player who has not won the jackpot is excluded because the jackpot is generated and there is a game, and the game end judgment based on the holding ball or the difference ball is determined. This is because it becomes possible. Therefore, if the game end record is excluded as described above, it is possible to reduce noise-like data applied to the statistical processing related to the difference ball or the holding ball, and to increase the accuracy of the statistical processing. Note that the statistical processing may be performed by excluding a game end record relating to a player who has finished the game in a state where the holding ball is equal to or less than a predetermined value.

  Next, FIG. 15 shows the frequency distribution of the balance read from the game end record for the models A, B, and C. As the data range in the figure, a minimum data range of minus 30000 yen or less and a maximum data range of 30000 yen or more are set, and the middle is divided every 10000.

  FIG. 16 shows the occurrence time read from the game end record for models A, B, and C, that is, the frequency distribution of the end time. As the data range in the figure, the earliest data range from 9:00 to 11:00 and the latest data range from 21:00 to 23:00 are set, and the middle is divided every two hours. is there.

  Based on FIG. 13, it is possible to grasp when each model is stopped as follows. That is, for model A, it can be inferred that many players have set a stop time with a difference of one or two storage boxes for storing their own balls. For model B, it can be inferred that the stopping time set by the player is dispersed for each difference ball corresponding to one box of the storage box. It can be presumed that the difference in tendency between the model A and the model B at the time of stopping is due to the difference in gameability between the two. That is, since the model B has a game appeal that is more appealing to the player than the model A, it can be estimated that the stop time is shifted toward the category with many difference balls in the model B.

  Based on FIG. 14, it is possible to grasp when each model is stopped as follows. That is, for the model A, the stopping time set by the player is distributed for each holding ball corresponding to one storage box. On the other hand, with regard to models B and C, it is speculated that many players have set a stop time when they finish the game or acquire a large number of games.

  Based on FIG. 15, it is possible to grasp when each model is stopped as follows. That is, for model A, there is no bias when stopping, and it can be seen that the stopping time does not depend on the balance. On the other hand, for models B and C, there is a bias when stopping, and it can be assumed that many players set the stopping time according to the balance.

Based on FIG. 16, it is possible to grasp when each model is stopped as follows. That is, for all models A, B and C, when many players stop, 5 that there is. In such a case, the classification No. If customer service etc. is provided around 6, the classification No. There is a possibility that the number of players ending the game with 5 can be suppressed. Furthermore, it is also possible to examine a distribution similar to that shown in FIG. In this case, for example, the classification No. corresponding to the presence / absence of payout compensation is set. Based on the frequency difference of 7, it is possible to measure the effect of the ball compensation.
Other structures and operational effects are the same as in the first embodiment.

(Example 3)
This example is an example in which the player performs the same statistical processing of the difference ball as in the second embodiment by changing the size of a storage box (so-called dollar box) that holds the ball. This will be described with reference to FIG.
In this example, the fluctuation at the time of stopping according to the number of balls in the storage box used in the amusement store was examined. Specifically, the number of balls accommodated in the storage box was changed according to business days (1800 balls, 2100 balls, 2400 balls), and statistical processing of difference balls was performed every business day.

  FIG. 17 shows the frequency distribution of difference balls as game end data for each business day using three types of storage boxes of 1800 balls, 2100 balls, and 2400 balls. Moreover, the number of boxes required when the storage box is used is shown in one column on the right side along each column indicating the frequency when each storage box is used. For example, in the case of a storage box having 1,800 balls, one or two storage boxes are required to store 1501-2000 pachinko balls (difference balls). Further, for example, in the case of a storage box having 2100 storage balls, it is sufficient to store one storage box in order to store 1001 to 1500 pachinko balls (difference balls). Moreover, as the average difference ball in the lower row, the average of the difference balls at the end of the game is shown.

  Based on the reverse display of FIG. 17, the correlation between the size of the box and the stopping time is clear. That is, a transition category in which the number of storage boxes increases from one box to two boxes, two boxes to three boxes (for example, if the storage box is 1800, Category No. 4, Category No. 8, etc.) It is clear that the frequency of the segment (the segment adjacent to the smaller side) tends to increase. That is, it can be seen that there are many players who are set at the time of stopping one box of difference balls or two boxes of difference balls.

  In addition, as in this example, if the tendency of players to set the stop time corresponding to the number of balls in the storage box is significant, by introducing a large storage box with a large number of balls There is a possibility that the utilization rate can be improved. On the other hand, it is said that if the storage box is made smaller, the number of storage boxes stacked at the feet of players with many balls is increased, which attracts the attention of players and beginners who have just stopped by.

  Therefore, in an amusement shop where there are many regular customers who are difficult to obtain the attraction effect as described above, there is a possibility that the effect of improving the operation rate by adopting a large storage box is more effective. In addition, even on event business days where the player's residence time is relatively long, the effect of adopting a large storage box may be increased.

  As can be seen from FIG. 17, when the number of storage boxes is changed from 1800 to 2100, the average difference ball increases from 2143 to 2387. The increment is 244. Further, when the number of storage boxes is changed from 2100 to 2400, the average difference ball is increased from 2387 to 2428. The increment is 41.

When the number of balls stored in the storage box is changed from 1800 to 2100, an effect of increasing 244 average difference balls, which is close to the difference in the number of balls stored, is obtained. On the other hand, when the number of balls stored in the storage box is changed from 2100 to 2400, only 41 average difference balls that are significantly smaller than the difference of 300 balls can be obtained, and a sufficient effect is obtained. Absent. Considering this fact and the fact that it is better to have a smaller number of stored items for the effect of attracting customers by stacking storage boxes, it is possible to determine that a storage box with 2100 stored numbers is the best.
Other configurations and operational effects are the same as those in the first embodiment.

Example 4
In this example, based on the result of the statistical processing at the end S in the first embodiment, the neglected time until the game is started by a new player is examined. This will be described with reference to FIG.

Each model A and B of the gaming machine of this example has a complete probability that suppresses the variation of the jackpot occurrence probability according to the number of start times. The model C is a type in which a plurality of jackpot occurrence probability peaks are provided according to the number of start times.
For model C, the first jackpot occurrence probability peak is in the range of 101 to 200 jackpot lottery times, and the second jackpot occurrence probability peak is in the range of 501 to 600 jackpot lottery times. It is of a certain type.

  As is clear from FIG. 18, the distribution tendency of the end S is slightly similar for the model A and the model B. If attention is paid to the fact that the model B is shorter in average time than the model A, it can be seen that the model B is a more popular model. Furthermore, based on the frequency distribution of the end S for model A and model B, a player who plays a game while imagining the correlation between the number of starts and the jackpot probability even if the model is a complete probability Can understand the psychology of Further, based on the tendency that the neglected time is longer in the section with the high frequency of the end S, the correlation imagined by the player as described above is related to when the game is ended or when a game is newly started. It can be grasped that they are almost the same.

Further, it can be seen that in the model C, there are many players who play until the jackpot occurrence probability reaches a peak, and if the jackpot does not occur, end the game. Therefore, the frequency of the end S is high in the section having the peak of the jackpot occurrence probability.
Other configurations and operational effects are the same as those in the first embodiment.

The block diagram which shows the functional structure of the game data management apparatus in Example 1. FIG. The system diagram which shows the system configuration | structure of the game data management apparatus in Example 1. FIG. The front view which shows the separate information terminal in Example 1. FIG. . Explanatory drawing which shows the game history record in Example 1. FIG. The flowchart which shows the flow of a process by the game data management apparatus in Example 1. FIG. FIG. 3 is a flowchart showing a flow of card ID input processing in the first embodiment. The flowchart which shows the flow of the game signal input process in Example 1. FIG. The flowchart which shows the flow of the jackpot signal input process in Example 1. FIG. The flowchart which shows the flow of the game end data extraction process in Example 1. FIG. Explanatory drawing which shows the frequency distribution of the end S in Example 1. FIG. Explanatory drawing which shows the frequency distribution of jackpot generation | occurrence | production S in Example 1. FIG. Explanatory drawing which shows the completion rate for every data range in Example 1. FIG. Explanatory drawing which shows the frequency distribution of a difference ball in Example 2. FIG. Explanatory drawing which shows the frequency distribution of the holding ball in Example 2. FIG. Explanatory drawing which shows the frequency distribution of the balance in Example 2. FIG. Explanatory drawing which shows frequency distribution of generation | occurrence | production time (end time) in Example 2. FIG. Explanatory drawing which shows the frequency distribution of the difference ball for every storage box in Example 3. FIG. Explanatory drawing which shows the correlation with the frequency distribution of completion | finish S and leaving time in Example 4. FIG.

Explanation of symbols

DESCRIPTION OF SYMBOLS 1 Game data management apparatus 11 Game data management means 12 Game end detection means 13 Game state detection means 14 Game history generation means 15 Data storage means 16 Game end data extraction means 17 Range setting means 18 Statistical processing means 19 Presentation means 2 Gaming machine 23 Individual information terminal 30 Communication network

Claims (1)

A game data management device for managing game data related to a gaming machine that generates a special game state advantageous to a player in addition to a normal game state,
Game end detection means for detecting the end of the player's game for each of the above gaming machines;
Game data totaling means for totaling the game data for each gaming machine;
Based on the end of the game detected by the game end detection means, the game end data that is the game data at the time when the player ends the game is extracted from the game data counted by the game data counting means , A game end data extraction means for associating the extracted game end data with the time left until the game is started by the next new player from the end of the game ;
Range setting for setting the data range that divides the numerical range that the game end data can take
Means,
For each data range set by the range setting means, the statistical processing of the game end data is performed on the gaming machine by executing statistical processing on the frequency of the game end data to which it belongs and the left time associated with it. Statistical processing means to be performed for each group of,
該統meter processing unit according to the statistical processing results to the based-out the above frequency of each data range, and the corresponding left gaming data management apparatus characterized by comprising a presentation means for presenting time.

Images