JP6867798B2 - Amusement park system - Google Patents

Description

The present invention relates to a playground system.

When managing game information for pachinko machines, etc., it is effective to indicate the ratio of the start prize rate to the consumed game value (out) to the start prize rate, and the ratio of the number of times a unit game such as a symbol change to the out is executed. It is similar to the start rate and is different, and it is desirable to manage it separately. However, conventionally, as in Patent Document 1, the effectiveness rate indicates the ratio of the number of times a unit game is executed to the start prize after being managed separately. Was obtained, and this effective rate was used to simulate the starting winning rate from the effective starting rate, or the effective starting rate from the starting winning rate.

Japanese Unexamined Patent Publication No. 2010-22631

By the way, this time, under the guidance of the authorities, it is important to secure BYmin, which is the grant rate of other prizes that are prizes to the prize openings other than the start prize opening, but this BYmin indicates other prizes. Since the signal is not output from the game machine, it is indirectly obtained by, for example, excluding the grant rate for the starting prize from the base showing the overall grant rate.

On the other hand, BY, which is the sum of the grant rates of the prizes and the so-called overflowing start prizes at the upper limit of hold, is also managed by excluding the grant rate of the unit game execution from the base. In the conventional simulation such as, since the simulation was performed based on the effective rate, the simulation was performed without distinguishing between the other winning portion and the overflow portion.

The overflow amount may fluctuate depending on the starting winning rate and the playing method of the player, while the other winning amount fluctuates according to the angle of the nail in the vicinity like the starting winning rate, etc. Considering the above, it is necessary to perform the above simulation targeting the effective start rate and the start prize rate after securing a certain amount of other prizes, but since that point has not been taken into consideration in the past, this step is taken. , It was difficult to simulate securing other prizes.

The present invention has been made in view of the above circumstances, and an object of the present invention is to simulate the effective starting rate from the effective starting rate or the effective starting rate from the starting winning rate, after securing a certain amount of other prizes. The purpose is to provide a system for amusement parks.

According to the invention of claim 1, the base that can be calculated by using the winning S information (starting winning rate) and BYmin (granting rate of other winnings), the B information, and the valid S information (effective starting rate). Since the simulation is performed so as to correspond to the base that can be calculated by using and, it is possible to simulate other S information and other S related information from the basic S information after securing a certain BYmin.

The figure which shows the whole structure of the playground system in one Embodiment roughly. The figure which shows the list of the basic data aggregated by a management device. The figure which shows the aggregation of the game information of model A (the 1) The figure which shows the aggregation of the game information of model A (the 2) A diagram showing how to obtain one of the effective S% and the winning S% from the other. Diagram showing a simulated example (Part 1) Diagram showing a simulated example (Part 2) Diagram showing a simulated example (Part 3) The figure which shows the aggregation example of the re-P information A diagram showing a simulation method of effective S% from sales information Diagram showing the main coefficients Diagram showing the main input information

Hereinafter, the system for the amusement park according to the embodiment of the present invention will be described with reference to the drawings.
FIG. 1 schematically shows the overall configuration of the amusement park system. A plurality of gaming machines 1 are installed in the gaming hall A constituting the game hall system, and a gaming device 2 is installed corresponding to each gaming machine 1. The game machine 1 and the game device 2 are connected to the relay device 3 two by two, and the game information to be described later output from the game machine 1 and the game device 2 is transmitted by the relay device 3 to the management device 4 (basic S information setting means, It is transmitted to the basic information setting means, the B information setting means, the simulation means, and the target information setting means). The management device 4 is configured by combining a keyboard 5, a monitor 6, a printer (not shown), etc., is installed in, for example, an office in the amusement park A, and is connected to each relay device 3 via LAN 7. It manages various game information output from the game machine 1, the game device 2, and the like. Peripheral devices (not shown) such as a POS that performs a prize exchange process are connected to the LAN 7 so as to be able to communicate with the management device 4.

A game hall system having the same configuration as each game machine 1, each game device 2, management device 4, etc. installed in the game hall A is also installed in another game hall (game hall B, game hall C in FIG. 1). Has been done. Each management device 4 installed in each of these game halls A to C is connected to a game information server (hereinafter, server) 9 via a public line 8 such as the Internet or VPN connection, and communicates game information. Is configured to be possible. Slot machines and counting devices (not shown) are also installed in the amusement parks A to C. Further, although not shown, for example, hundreds of gaming machines are installed in each of the amusement parks A to C and are subject to management. The system for the amusement park is also connected to a large number of amusement parks other than the amusement parks A to C so that the game information can be communicated.

The game machine 1 is a CR (card reader) pachinko machine, and has an operation handle 11, an upper tray 12, and a lower tray 13 that constitute a launching device that launches a ball on the game board surface 10, and a liquid crystal display is displayed on the game board surface 10. It has a section 14, a general winning opening 15 (other winning openings), a general drawing winning opening 16, a first starting winning opening 17, a second starting winning opening 18, and a large winning opening 19.

The gaming machine 1 performs the following operations.
(1) The first starting winning opening 17 is a winning opening whose winning rate does not fluctuate (so-called navel winning opening), and the second starting winning opening 18 is a winning opening whose winning rate fluctuates (so-called electric chew). A big hit lottery is performed according to the winnings (starting prizes) to the starting winning openings 17 and 17, and the lottery result is notified by the symbol variation performed on the liquid crystal display unit 14, and the jackpot is obtained according to the fluctuation result.

(2) If a start prize is won during the symbol change, the symbol change is cumulatively held up to a predetermined holding upper limit value (for example, 4 each), and the held symbol change is started after the symbol change is completed. If the starting prize is won while the number of pending symbol fluctuations (number of pending symbols) is the upper limit, the symbol fluctuations are not suspended, resulting in a so-called overflow.

(3) The winning probability (big hit probability) of the big hit lottery is 1 / 319.7, and the probability change rate is (normal state, probability change state), which is the ratio of the big hit to the big hit (probability change big hit) which becomes the probability change state (probability change) after that. Both) is 50.0%. When a big hit occurs, the big winning opening 19 is opened by the corresponding round (R). The maximum number of prizes in 1R is 10, the maximum opening period is 30 seconds, and 1R ends when either the maximum number of prizes or the maximum opening period is satisfied.

(4) The corresponding round is also drawn in the same way as the big hit lottery, and the distribution rate is 100% for 6R when winning the starting winning slot 1, but 4R is 40% for the second starting winning slot 18 and 8R. Is 10% and 15R is 50%, and the priority of pending digestion of the symbol change according to the winning is set higher in the second starting winning opening 18 than in the first starting winning opening 17.

(5) During the probability change, the jackpot probability is improved to 1/80, and the winning rate to the starting winning opening is increased, resulting in a time saving state (time saving). Since the probability change continues until the next big hit, it continues until a big hit (normal big hit) that becomes a normal game state (normal state) that is neither a big hit nor a probability change occurs after the big hit, and then a predetermined number (for example, 100 times). ) Will be in a short time state until the symbol is changed, and then it will be in a normal state.

(6) The second start winning opening 18 is in an open state with a high winning rate when a normal symbol (general figure) that fluctuates according to the winning of the general drawing winning opening 16 is hit. In this case, in this case, the fluctuation time of one time in the normal drawing is 30 seconds in the normal state and 3 seconds in the time saving state. The opening time is 0.3 seconds in the normal state and 5 seconds in the time saving state. That is, in the short time state, the fluctuation time of the normal figure is shorter than that in the normal state, while the opening time is longer, so that the winning rate of the second starting winning opening 18 is higher. The above description has been made using the model A as an example, but the illustrated values are various values depending on the model, for example, the round distribution is different for other models.

The game machine 1 and the peripheral devices attached to the game machine 1 transmit the following game signals as the game progresses, such as the player driving a ball and starting prizes at the starting winning openings 17 and 17. To do.

Out signal = A signal (operation signal) that can specify the consumption value (out) output from the out BOX that collects the consumed balls. Since one pulse is output for every 10 consumed (used, driven, collected) balls, "the number of out signals x 10" is specified as out. The signal output from the gaming machine 1 may be used.

Safe signal = A signal output from the gaming machine 1 that can identify the winning value (safe). Since one pulse is output for every 10 balls to be paid out, "the number of safe signals x 10" is specified as safe. The replenishment signal output from the replenishment device may be used as a safe signal. In addition, there are an actual safe signal that is output when the ball is actually paid out and a winning safe signal that is output when the payout is reserved according to the winning, but in order to minimize the time lag from winning to output. It is desirable to adopt the latter.

Start signal = Specify the start process (design variation, accessory operation, unit game) and effective S (number of start processes) in the liquid crystal display (accessory) that fluctuates (operates) according to the start prize output from the game machine 1. Possible signal. Since it is output when the symbol fluctuation is confirmed, the start process is specified according to the signal input.

Start winning signal = A signal that can specify the starting winning and the number of starting winnings (winning S) output from the gaming machine 1. Since it is output at the time of starting prize, the starting winning is specified according to the signal input.
Jackpot signal = A signal output from the gaming machine 1 that can specify the jackpot period. Since the level is output during the jackpot, the jackpot signal input is specified as the jackpot.

Special state signal = A signal that can identify the special state (sweet, advantageous state) output from the gaming machine 1. Since the level is output during the special state (during the time reduction) in which the winning rate of the second start winning opening 18 is improved, the special state signal input is specified as the special state. It should be noted that it may be a state signal (probability variation signal) whose level is output during the probability variation in which the jackpot probability is improved. In addition, the period during which neither the jackpot signal nor the special state signal is input is specified as the normal state.

The gaming device 2 is a lending machine with a so-called counting function for each machine, and is a status display unit 20 indicating the gaming state of the gaming machine 1, a coin slot 21 into which money (money value) is inserted, and operation input from the player. A touch-sensitive LCD display unit 22 that displays game data such as the number of symbol fluctuations (number of starts) and jackpot probability as the game progresses, a payout button 23 for paying out the winning balls, and the paid out winning balls. The payout nozzle 24 through which the machine passes, the card insertion slot 25 into which a general card or a membership card is inserted, the removable counting tray 26 located below the lower tray 13 of the gaming machine 1, and the balls flowing in from the counting tray 26 are counted. It has a counting unit (not shown) and the like.

The game device 2 performs the following operations.
(1) When money is accepted (money reception processing), the deposit amount is displayed on both the game machine 1 and the game device 2, and the loan ball (value added) for one unit of loan (for example, 500 yen) is displayed on the game machine. Withdrawal from 1 (compensation granting process), the deposit amount is displayed according to the consideration granting process, excluding the consideration of the loaned ball. Money can be accepted for multiple times of consideration grant processing (for example, up to 10,000 yen).

(2) By having a counting unit, it is possible to accept the balls acquired by the player, and if they are accepted, they are managed as possessed balls, and refund processing (value-adding processing) is also possible with the possessed balls as consideration. If you refund, the consideration (the same number as the refunded balls) will be deducted from the balls.

(3) When the return button of the game machine 1 is pressed (issuing operation) with the balance and the ball held, a general card that can identify the balance and the ball is issued (issuing process). If you accept a general card, the balance and the balls you have will be taken over.

(4) Through serial communication with the relay device 3, the management device 4 accepts money, gives consideration, gives value, balance, holding balls, number of loans, number of refunds, amount of deposit, number of counting balls, and consideration for lending. It is possible to specify the sales amount and various information such as reception and issuance processing of general cards, but these are specified by pulse signals (for example, 1 pulse for every 1000 yen deposited, 1 pulse for every 100 yen sold, etc.) You may.

By the way, the management device 4 secures the grant rate of other prizes that are prizes to the winning openings other than the starting winning opening, and then shows the ratio of the number of times the unit game such as the symbol variation to the out is executed (effective starting rate ( Hereinafter, on the other hand, the starting winning rate (hereinafter, winning S% (winning S information, S information)) indicating the ratio of the starting winning to the effective S% (effective S information, S information) and the consumed game value (out). From one basic S information to the other S information, or to simulate other S related information such as a base showing the overall grant rate, or from the target sales information, the corresponding S information of effective S% and winning S%, Alternatively, it has a function of simulating the corresponding S-related information such as the base, and aggregates the basic data necessary for executing such simulation.

FIG. 2 is a list of basic data aggregated by the management device 4, and the following items are set.
Number of game balls consumed by game machine 1 specified by out = out signal (consumption value)
The number of game balls given according to the winning of the gaming machine 1 specified by the safe = safe signal (winning value)
Effective S = Number of times the accessory is operated in the gaming machine 1 specified by the start signal. In addition, including the following, "Amanaka" indicates game information corresponding to a special state period such as a short time.

Winning S = Number of starting winnings in game machine 1 specified by start winning signal Sales ball = Number of game balls given as consideration for monetary value in the corresponding game device 2 specified by communication with game device 2 Number of balls, value added)
Re-P ball = Number of replay balls specified by communication with the game device 2 The number of game balls given in consideration of the stored balls in the corresponding game device 2 Number of big hits = Number of big hits specified by the big hit signal. "Normal" is the number of big hits that occur during normal times, and is the so-called "first hit" number. "Specification" is the number of occurrences of a specific jackpot, which is a jackpot that is T1Y within the reference range (for example, 1000 to 2000) set for T1Y.

"T-out <T-safe>" = Out in big hit and sweet-out <safe>
"T1 out <T1 safe>" = out during big hit <safe>
"Special T1 out <Special T1 safe>" = Out during big hits targeting only specific big hits <Safe>
The "average" is the average of the gaming machines for the model A.

Further, the payout nozzle 24 of the game device 2 shown in FIG. 1 is for replay to refund the acquired balls acquired by the player on the corresponding business day, but the amount acquired on the day such as being paid out from the payout nozzle 24. Replay balls (refund balls) are not included in replay balls.

The management device 4 aggregates predetermined game information for each model based on the raw data of FIG. As is well known, it is assumed that settings such as model settings for associating the serial number with the model have been made in advance.

FIG. 3 is a summary of the game information of the model A, and the following items are set.
Game information (other S-related information, corresponding S) indicating the calculated value of B-safe ÷ BO for "normal" and B-safe A ÷ BOA for "sweet" Related information). BO that is out in normal is out-T out, safe in normal is B safe is safe-T safe, BOA that is out in sweet is T out-T1 out, safe in sweet. B-safe A is game information indicating a calculated value of T-safe-T1-safe, but BO, B-safe, BOA, and B-safe A may be obtained as raw data. In the following, the base in normal is simply referred to as the base, and the base in sweet is also referred to as BA.

Effective S% = The ratio of the number of symbol fluctuations to the out for each state. "Normal" indicates the effective S ÷ BO in normal, and "Amanaka" indicates the calculated value of effective S ÷ BOA in sweet. Then, the average S in normal is also called S, and the average S in sweet is also called SA.

Winning S% = Ratio of the number of starting prizes to outs by state, game information showing the calculated value of winning S ÷ out (similar to the above) Out rate = Safe ÷ out by the ratio of safe to out (payout rate) Game information showing the calculated value of S Effective rate = ratio of the number of symbol fluctuations to the number of starting prizes in normal time, game information showing the calculated value of valid S ÷ winning S, etc. However, it may be managed for sweet and medium.

B-sa = game information that indicates the calculated value of BO-B safe, which is the number of difference balls at normal times. Although not shown in FIG. 3, the number of difference balls in sweetness is indicated by BA.
BY = Game information indicating the calculated value of the base-valid S × S prize ball, which is the output rate of the prizes other than the start prize, which is the symbol fluctuation at the normal time. In addition, the calculation with S prize ball = number of prize balls at the time of starting prize = 3 is illustrated.

BYmin = Game information (basic information) that indicates the calculated value of the base-prize SxS prize ball, which is the rate of winning other than the normal start prize.
BYof = Game information that indicates the calculated value of BY-BYmin, which is the payout rate for the overflowing start prize in normal times.

T1Y = average number of jackpots, (T1 safe-T1 out) ÷ game information showing the calculated value of total jackpots. Total jackpots = normal jackpots + sweet and medium jackpots T1O = average jackpots out. T1 out ÷ game information showing the calculated value of the total jackpot number Special T1Y = T1Y targeting the specific jackpot, (special T1 safe-special T1 out) ÷ game information showing the calculated value of the specific jackpot number Special T1O = specific jackpot Game information indicating the calculated value of the special T1 out ÷ specific jackpot number in T1O for the model A. The “average” is the average of the game machines for the model A.

FIG. 4 is an aggregation example of game information (sales information) similar to that in FIG. 3, and the following items are set.
Corrected stand sales = total of the consideration given to the game value, which is the total value of the actual sales (sales ball x rental unit price) and the re-P amount (re-P ball x rental unit price), which is the sales equivalent to the monetary value. In the game information including "correction" including the following, the sales amount is calculated as the correction stand sales including the re-P amount, but the actual sales amount may be calculated as the sales amount instead of the correction stand sale. ..

Corrected customer stagnation rate = ratio of B-sa to corrected sales ball (sales ball + re-P ball), B-sa ÷ game information showing the calculated value of corrected sales ball Corrected gross profit = operating profit on the game hall side according to the game Then, the game information (gross profit information) showing the calculated value of the correction stand sale-acquired ball x rental unit price x set cost rate
In addition, the calculation with the acquired ball (acquired value) = corrected sales ball + safe-out, the unit lending price = 4 yen, and the set cost rate = 92% is illustrated.

Game information (warranty) showing the calculated value of earned balls ÷ corrected sales balls by the ratio (operating percentage) of the profit and loss amount (loss balls = earned balls) on the game hall side to the corrected sales balls (corrected sales balls) Number information)
Re-P rate = Ratio of re-P balls to corrected sales balls, game information showing the calculated value of re-P balls ÷ corrected sales balls Re-P profit / loss amount = profit / loss generated by replaying in consideration of the cost rate. (Re-P amount x (1 + commission rate) -Re-P amount / set cost rate) x Game information indicating the calculated value of the set cost rate. The commission rate is the ratio of the commission balls (the number of stored balls to be considered-re-P balls) to the number of stored balls to be the consideration, and the calculation at 0% is illustrated.

Corrected profit margin = profit margin of the amusement park, (break-even split number-corrected split number) ÷ break-even split number = corrected gross profit ÷ corrected game information (profit margin information) indicating the calculated value of the stand sales. The break-even ratio = 1 ÷ set cost rate.

Re-P gross profit = Operating profit on the amusement park side considering the re-P profit / loss amount, and game information showing the calculated value of adjusted gross profit + re-P profit / loss amount (gross profit information corresponding to the re-P profit / loss amount)
Corrected ball unit price ~ re-P ball gross profit = corrected table sales per out, corrected gross profit, re-P gross profit, corrected table sales ÷ out, corrected gross profit ÷ out, re-P gross profit ÷ out Game information shown Re-P percentage = Operating percentage considering the re-P profit / loss amount, (1-Re-P gross profit ÷ Correction stand sales) ÷ Set cost rate = ((Correction stand sales-Re-P gross profit) ÷ ( Lending unit price x set cost rate)) ÷ Game information showing the calculated value of the corrected sales ball (division information corresponding to re-P profit / loss)
Re-P profit margin = Profit margin of the amusement park in consideration of the re-P profit / loss amount, and game information indicating the calculated value of the re-P ball gross profit ÷ corrected ball unit price (profit margin information corresponding to the re-P profit / loss)
The "average" is the average of the gaming machines for the model A.

When the management device 4 aggregates the game information and sales information for each model shown in FIGS. 3 and 4, the management device 4 transmits the game information and sales information to the server 9.
The server 9 further aggregates the game information and sales information for each model received from each game hall for each model. In this way, the game information and sales information for each model that are collectively aggregated on the server 9 show different tendencies for each model, and the greater the number of units for each model that is aggregated, the more reliable the tendency becomes. It gets higher.

By the way, the manager of the game hall simulates the other S information from the basic S information which is one of the effective S% and the winning S% of the specific model installed in the game hall, and becomes a goal. When simulating the corresponding S information of the valid S% and the winning S% from the business information, a simulation screen (not shown) is displayed on the management device 4 and the model to be simulated is input.

Then, the management device 4 receives the game information and the sales information of the model to be simulated by communicating with the server 9, and sets the master value (basic B information) which is the basis of the simulation. Further, the master value may be a master value unique to the amusement park. That is, the master value is game information collected from a plurality of game fields or aggregated past game information of the corresponding game field. It should be noted that the assumed value assumed from the specifications and the like may be set and input and adopted.

FIG. 5 is an example of simulating the valid S% or the winning S% based on the master value, the input BYmin, and one of the input valid S% and the winning S%, and is an example of simulating A (hereinafter, simulation). This is an example in which the winning S% is simulated by the valid S% input by A), and the valid S% is simulated by the winning S% input by Simulate B (hereinafter, Simulate B).

MAX is game information corresponding to the case where the effective S% is aggregated or assumed to be MAX (maximum), and similarly, MIN is the game information corresponding to the case where the effective S% is MIN (minimum). The average information may be adopted as it is, but since BYmin is fixed, the MAX and MIN bases, BY, and the like are illustrated when a separately simulated value or an input value is adopted.

Each item of the simulation example is provided in two stages, the simulated numerical value is shown in the upper row, and the definition of the calculation formula etc. is shown in the lower row.
The coefficient is a coefficient for simplifying the calculation formula when simulating as described above.
The numerical value shown by the right diagonal line in FIG. 5 indicates that it is an input value. The same applies to the subsequent figures.

By specifying the correlation between the effective S% and the base of the model to be simulated and the correlation between the winning S% and the base from the master value shown in FIG. 5, one of the effective S% and the winning S% is used as the other. Can be simulated, and the simulation method will be described.

First, the relationship between the effective S% and the base will be described. Assuming that the correlation indicating the relationship between the effective S% and the base is linear, the fluctuation ratio of the base with respect to the effective S% can be obtained based on the master value. That is, the average base (first base) in the case of the average effective S% (hereinafter, average effective S% (first effective S information)) and the maximum (hereinafter, MAX) effective S% (second effective S information). In the case of information), the change (slope) of the base is calculated from the MAX base (second base) by the following formula.

B variation = (MAX base-average base) ÷ (MAX effective S% -average effective S%)
This B change (B information) is when the effective S% changes from the average effective S% to the MAX effective S% on the assumption that BYmin is fixed (constant) regardless of the effective S%. The rate of change when the base fluctuates from the average base to the MAX base according to the effective S% is shown.

Next, in order to obtain a linear equation indicating that the correlation between the effective S% and the base is linear, a virtual base (hereinafter, S0B) when the effective S% is 0 is obtained. Since the value obtained by subtracting B variation × average effective S% from the average base is S0B, S0B can be obtained by the following equation.

S0B = average base-B variation x average effective S%
This S0B (B information) is a coefficient for maintaining the relationship between the average base and the effective S%, and corresponds to the base excluding the base corresponding to the average effective S% from the average base, in other words, the B variation. It becomes a virtual base when the effective S% is 0.

For example, in the master value shown in FIG. 5, the average effective S% and the base are 5.00% and 22.00%, respectively, and the B variation is 4.95, but the effective S% × B variation is simply calculated. When calculated, it becomes 24.75%, which is not the same value as the average base (22.00%). In order to eliminate such inconsistency, S0B (-2.75%) is added and the coefficient for correcting so as to have the same value is S0B.

It should be noted that the reason why S0B becomes a negative value is that the correlation between the effective S% assumed from the actual value and the base does not actually have a linear relationship, and the base curves as the effective S% increases. This is due to the fact that it exhibits a characteristic that rises in a positive manner.

As described above, it can be expressed as base = B variation × effective S% + S0B, but this formula is the BYmin (BYmin included in the basic information) input at the time of simulation and the average BYmin (hereinafter, average BYmin (hereinafter, average BYmin). Since it is established on the condition that the basic B information, basic BYmin, B information)) are different, if the average BYmin and the input BYmin are different, the base obtained by B variation × effective S% + S0B is Since it remains corresponding to the average BYmin, in order to correspond to the input BYmin,
Base = B variation x effective S% + S0B + BYmin-average BYmin
Is defined as.

Here, since the base = winning S% x S prize ball + BYmin,
B variation x effective S% + S0B + BYmin-average BYmin = winning S% x S prize ball + BYmin
It can be expressed as. To organize this formula,
B variation x effective S% = winning S% x S prize ball-S0B + average BYmin
Effective S% = (winning S% x S prize ball-S0B + average BYmin) ÷ B variation. In this case, since each item other than the winning S% on the right side can be specified from the master value, the effective S% (other S information) can be obtained by inputting the winning S% (basic S information).

Further, since the winning S% × S prize ball = effective S% × B variation + S0B-average BYmin can also be expressed, the winning S% = (effective S% × B variation + S0B-average BYmin) ÷ S prize ball can also be expressed. Can be done. Similarly, in this case as well, since each item other than the valid S% on the right side can be specified from the master value, the winning S% (other S information) is obtained by inputting the valid S% (basic S information). Can be done.

As described above, by inputting the basic S information which is one of the winning S% and the valid S% in each of the above formulas, the other S information can be obtained.
Further, since S effective rate = effective S% ÷ winning S%, it can be expressed as S effective rate = (winning S% × S prize ball-S0B + average BYmin) ÷ (B variation × winning S%).
Alternatively, it can also be expressed as S effective rate = S prize ball + (average BYmin-S0B) ÷ winning S%) ÷ B variation.

As described above, any value can be input for BYmin, and it is not always necessary to set the BYmin to the same value as the average BYmin of the master values.
Further, the game information other than the winning S% and the effective S% can be obtained by the same calculation formula as the conventional calculation formula, such as by modifying the calculation example shown in FIG. Further, by substituting the above calculation formula into the conventional calculation formula, it is possible to perform the calculation without obtaining other S information.

Next, an actual simulation procedure will be described with reference to FIG.
Simulation 1 (hereinafter, simulation value 1) of each of the simulations A and B shown in FIG. 5 is simulated 2 (hereinafter, simulation value 1) when the effective S% is higher than the effective S% (reference S information) of the master value MIN. The value 2) corresponds to the low case. Such a distinction is to eliminate an impossible numerical value by fixing BYof to BYof (reference BYof) of MIN when the effective S% is lower than the effective S% of MIN (when the reference S information is not reached). I'm going to.

(1) Each coefficient (B variation, S0B) of the linear equation showing the correlation between the effective S% and the base is specified from the master value.
(2) For the simulation value 1 of the simulation A, the winning S% is specified by the effective S% or the like, and then other items (other S-related information, corresponding S-related information) are specified.

(3) For the simulation value 1 of the simulation B, the effective S% is specified by the winning S% or the like, and then other items (other S-related information, corresponding S-related information) are specified.
In each case, the average BYmin refers to the average BYmin of the master value.

(4) The simulation value 2 does not use each coefficient (B variation, S0B), and the effective S% and the winning S% are specified by a calculation formula different from that of the simulation value 1. The simulation value 2 of the simulation A is specified in the order of BYof → winning S% → S effective rate and base → BY, and the simulation value 2 of the simulation B is specified in the order of BYof and base → effective S% → BY and S effective rate.

By the way, each of the above equations shown for obtaining the other S information from the basic S information which is one of the effective S% and the winning S% is based on the master value, and the game to be simulated in each game hall. Since it does not correspond to the actual value of the machine 1, the correction master value is created by simulating the master value as follows so as to correspond to the actual value.

First, the deviation between the average effective S% of the master value and the average effective S% of the game machine 1 to be simulated is obtained, and the correction master value is simulated from the deviation as in MAX to MIN in the simulation example of FIG. To do.

The simulation procedure is as follows.
(1) The actual value as shown in FIG. 3 is specified (average fixed) as an average.
(2) The BYof of MIN is derived, and the BY is derived.
(3) While deriving the MAX effective S%, the MB coefficient is derived and other items of MAX are specified (MAX confirmed). The MB coefficient is a coefficient for simulating the MAX base based on the deviation between the average effective S% of the master value and the average effective S% (actual value) of the game machine 1 to be simulated.

(4) After specifying each coefficient value and deriving the effective S% of MIN, other items of MIN are also specified (MIN confirmed).
As described above, the master value can be made to correspond to the actual value.
(5) For the simulation values 1 and 2 of the simulations A and B, the simulated correction master value is adopted instead of the master value, and the calculation is performed in the same manner as in FIG.
In this way, it is possible to simulate using the correction master value corresponding to the actual value to be referred to.

In FIG. 6, each item of the master value MAX, average, and MIN is set as the actual aggregated value as shown in FIG. 3, and the corrected master values MAX and MIN are set based on the actual value of the simulation target gaming machine 1. Is simulated, and the simulation value 1 and the simulation value 2 are simulated based on the simulated correction master value.

In this embodiment, each value is simulated by a predetermined calculation formula based on the master value (upper three rows in FIG. 6) obtained by averaging the actual values, and the calculation formula is as shown in the simulation example of FIG. However, the calculation formula is not limited to this, for example, the ratio of MAX and the average in the master value is adopted as it is to derive MAX with the actual value as the average, and for MAX, the S effective rate is the same as the effective S%. As the total value of the difference between the master value MAX and the average and the average value, the winning S% is derived from the S effective rate and the effective S%, and the base is based on the winning S%, the S prize ball, and BYmin. MAX and MIN may be made to correspond to the average by any method such as deriving or arbitrarily inputting a numerical value corresponding to the average.
Instead of using the average value as the actual value, it may be obtained by an arithmetic expression based on the actual value.

Here, the reason why the arithmetic expression for obtaining the effective S% of MIN is effective S% = (BY-S0B) ÷ (B variation-S prize ball) will be described.
Base = effective S% x B variation + S0B + BYmin-average BYmin, but since BYmin is assumed to be the same value for average and MIN, base = effective S% x B variation + S0B.
On the other hand, in MIN, BYof can be specified by the difference of the master value, and BYmin is a set value (fixed value), so BY, which is the total value, can be derived. That is, the calculation formula of base = effective S% × S prize ball + BY can be used.

Therefore, when the above equation is equalized on the right side and the left side via the base, it becomes effective S% × B variation + S0B = effective S% × S prize ball + BY.
When this is arranged by the effective S%, the relational expression with the effective S% × (B variation-S prize ball) = BY-S0B is established, and the effective S% which is the calculation formula of the effective S% of MIN in FIG. = (BY-S0B) ÷ (B variation-S prize ball) is established.

Based on the correction master value simulated based on the actual value in this way, the simulation value 1 and the simulation value 2 of the simulation value A and the simulation value B are simulated.
FIG. 7 is an example of simulating a simulation value or the like with the actual value as the average of the master values as in FIG. 6, but as shown in the actual value, in FIG. 7, the starting winning signal is not connected, and the winning S% is used as the actual value. It is assumed that it is not specified. That is, any S effective rate can be input, the winning S% or the like is specified by the input S effective rate and the effective S%, and the specified value is used as the average of the master values to be the master value, and the simulation A or simulation. B is simulated. By doing so, even if the winning S% is not managed, it is possible to simulate the winning S%.

In FIG. 8, the corresponding value and the input value and the game information (adjustment information) that can be changed by the adjustment of the indicated game machine 1 are specified by adopting the input and the actual game information, and the adjustment information is used. By performing the arithmetic processing, when the jackpot probability of the gaming machine 1, the round distribution, the so-called number of consecutive villas (the number of continuations), etc. becomes the theoretical value, that is, the bias due to such a lottery is eliminated. This is an example of simulating what kind of value the business information such as the theoretical correction divisor will be.
The numerical values shown by the diagonal lines on the left in FIG. 8 indicate that they are set values.

The set value is set in advance, the input value can be an actual value or an arbitrary numerical value, and the corresponding value is a value corresponding to the input value as explained in FIGS. Since all of them are the same as the conventional simulation methods, detailed description thereof will be omitted, but items not described in FIGS. 2 to 7 will be described as follows.

TS = Effective S required to obtain a jackpot that indicates the reciprocal of the jackpot probability in normal times, and the theoretical value assumes that a jackpot occurred when a valid S for TS was obtained (see BO, etc.). ..
TSA = TS value in sweetness (value considering not only probability variation but also time reduction)
Prize amount = Evaluation value of a specific prize (for example, a special small prize) Number of prizes = Number of exchanged balls for a specific prize, calculated cost ratio is the ratio of the prize amount to the number of prizes R coefficient = Average payout for a specific jackpot Percentage of jackpot T1Y A coefficient = Percentage of all jackpots 19 that the jackpot 19 corresponding to a specific jackpot opens at the time of jackpot (100% if the jackpot is single. R coefficient is also Correction coefficient for correcting the special T1Y including the T1Y to the average jackpot T1Y)
Number of continuations = Expected value of the number of big hits (number of consecutive villas) that occurs from the occurrence of a big hit during normal times to the return to normal times (during T) TY and the number of difference balls during TO = T (T safe-T out) And T-out In addition, one cycle between the time when the big hit in the normal time occurs and the time during T is set as one set.

FIG. 9 is an aggregation example of the game information (re-P information) related to the replay for a period in which the operation of the replay fee and the like is different.
Here, operation A is an operation with no fee to pay out the number of stored balls as a replay ball as it is, and operation B is an operation to withdraw 130 balls for 125 balls to be paid out, that is, an operation to collect 5 fee balls. For example, operation C does not collect a fee until the number of replay balls reaches 2500 within one business day, but operation D is a so-called variable fee operation that collects a fee after that, and operation D exchanges prizes. It is assumed that the money will be exchanged for cash and that the loan will be received, and that the exchange ball for the prize for the loan will be withdrawn from the stored ball.

Operations A to D are switched depending on, for example, business days, but at present, other than operation A is not permitted under the guidance of the authorities, so the case where only operation A is adopted is illustrated.
In this way, the average re-P information in the period in which different operations are performed for the replay can be specified, and it can be used for the simulation shown in FIG.
Further, since the re-P information is managed separately according to the operation, the re-P information corresponding to the corresponding operation may be adopted according to the operation on the simulation target date.

10 to 12 show an example of calculation in the case of simulating the effective S% from the business information such as the correction divisor. After setting items other than the sales information described in FIGS. 2 to 9 shown in FIG. 12 as actual values or input values, input the numerical values to be obtained as sales information (target information) as shown in FIG. The provisional effective S% 1 or the provisional effective S% 2 shown in FIG. 10 is simulated.

The provisional effective S% 1 and the provisional effective S% 2 are based on the difference between the simulation value 1 and the simulation value 2 described in FIG. 5 and the like, that is, whether the effective S% is higher or lower than the effective S% of the MIN. It is game information classified by changing the derivation method, and if the derived tentative effective S% 1 is higher than the effective S% of min, the tentative effective S% 1 is simulated as it is, and if it is lower, the tentative effective S% 2 is simulated as the effective S%. In the cases of FIGS. 10 to 12, since all of them are high, the provisionally effective S% 1 is derived as the effective S%. If the effective S% can be derived, other game information (corresponding S-related information) and the like illustrated in FIGS. 2 to 9 other than the set game information can also be derived.

Examples of the procedure for deriving the illustrated arithmetic expression are shown in FIGS. 10 to 12.
Next, a method of deriving an arithmetic expression for obtaining the effective S% from the business information will be described.
It can be expressed as correction percentage = earned ball ÷ corrected sales ball.

Here, earned ball = corrected sales ball + safe-out, corrected sales ball = B-sa ÷ corrected customer stagnation rate, safe-out = TY-B-sa, B-sa = BO × (1-base), BO = TS ÷ Effective S%.
The calculation formula of BO = TS ÷ effective S% will be described.

Since TS indicates the reciprocal of the jackpot probability, theoretically, it indicates the start required to generate the jackpot, and since valid S% = valid S ÷ out, out = valid S ÷ valid S%. Since BO is theoretically an out required to generate a big hit, it is an out corresponding to TS. That is, the BO, which is the out required to obtain the effective S for TS, can be indicated by BO = TS ÷ effective S%.

From the above formula
Correction percentage = (B service ÷ correction customer stagnation rate + TY-B service) ÷ (B service ÷ correction customer stagnation rate)
= 1 + (TY x corrected customer stagnation rate) ÷ B sur-corrected customer stagnation rate
= 1 + (TY x corrected customer stagnation rate) ÷ (TS ÷ effective S% x (1-base))-corrected customer stagnation rate.
(Correction percentage + Corrected customer stagnation rate -1) x TS = (TY x Corrected customer stagnation rate x Effective S%) ÷ (1-base)
The relational expression with is established.

Here, the base is
(1) When the effective S% is higher than the effective S% of MIN, the base = B variation × effective S% + S0B + BYmin-average BYmin.
(2) When the effective S% is lower than the effective S% of MIN, it is classified into the case of base = S prize ball × effective S% + MIN BYof + BYmin (base = effective S% × S prize ball + BY and from FIG. 5). Therefore, if the former is substituted into the above relational expression and arranged by effective S in the same manner as above, the arithmetic expression shown by effective S% 1 is derived, and by substituting the latter case and arranged by effective S% 2, it is shown by effective S% 2. The arithmetic expression is derived.

Similarly
Correction ball gross profit = (correction stand sale-acquired ball x rental unit price x set cost rate) ÷ out
= (B service ÷ corrected customer stagnation rate x unit price- (B service ÷ corrected customer stagnation rate + TY-B service) x unit price loan x set cost rate)
= (B service x rental unit price x (1-set cost rate + corrected customer stagnation rate x set cost rate) -TY x corrected customer stagnation rate x rental unit price x set cost rate) ÷ (corrected customer stagnation rate x (BO + TO))
(Corrected ball gross profit x Corrected customer stagnation rate x (TS ÷ effective S% + TO) + TY x Corrected customer stagnation rate x rental unit price x set cost rate) = TS ÷ effective S% x (1-base) x rental unit price x ( 1-Set cost rate + corrected customer arrears rate x set cost rate)
Therefore, if you organize by multiplying both sides by the effective S%, etc.
Effective S% x Corrected ball gross profit x Corrected customer stagnation rate x TO + Effective S% x TY x Corrected customer stagnation rate x Lending unit price x Set cost rate = TS x (1-base) x Lending unit price x (1-Set cost rate + Corrected customer stagnation rate x Set cost rate) -Corrected ball gross profit x Corrected customer stagnation rate x TS
Since the relational expression with is established, it is possible to derive the arithmetic expressions of effective S% 1 and effective S% 2 by substituting the case according to the effective S into the base in the same manner as described above.

In the above, the calculation formulas for the correction divisor and the ball gross profit have been described, but similarly, for other business information, by substituting or substituting the calculation formulas indicating the business information as described above, FIGS. The arithmetic expression shown in FIG. 12 can be derived.

Since the coefficient is used only for simplifying the calculation formula, any coefficient may be adopted, and the coefficient itself may not be adopted. Further, regarding the coefficients A to N, except for the business information, the game information that is not affected by the effective S% is the target of the calculation formula.

According to such an embodiment, the following effects can be obtained.
The management device 4 simulates so that the base that can be calculated by the winning S% and BYmin corresponds to the base that can be calculated by the B variation and the effective S%, so that a certain BYmin is secured. It is possible to simulate other S information such as the other winning S% and valid S% that are not set from the basic S information such as one valid S% and winning S% that have been set, or other S-related information such as the base.

B variation and S0B enable simulation after appropriately considering the base amount corresponding to the effective S%.
With S0B, it is possible to appropriately correct an error that cannot be corrected only by the B variation.

Even if the BYmin corresponding to the B variation and the BYmin when simulating are different, the simulation can be performed after considering the difference.
Even when performing an unpredictable simulation such as when the effective S% does not reach MIN, it is possible to perform an appropriate simulation excluding an impossible simulation in which BYmin becomes negative.

In order to simulate the effective S%, etc., in which the base that can be calculated by the winning S% and BYmin corresponds to the base that can be calculated by the B variation and the effective S%, and the target information corresponding to the base can be obtained. After securing a certain BYmin, it is possible to simulate S information such as effective S% and winning S%, or corresponding S-related information such as base from the target sales information.
Simulation based on the corrected percentage, the corrected ball gross profit, the corrected profit rate, the re-P profit rate, the re-P ball gross profit, and the re-P percentage is possible.

(Other embodiments)
The present invention is not limited to the above embodiment, and can be modified or extended as follows.
Considering the error when the master value BYmin and the input BYmin are different, base = B variation x effective S% + S0B + BYmin-average BYmin, but base = B variation x effective S% + S0B without considering the error. Or base = B variation x effective S% may be simulated. Further, in the latter case, for example, average base ÷ average effective S% or the like may be adopted as B information instead of the illustrated B variation. That is, the B information may be any numerical value or arithmetic expression as well as the B variation as long as the correlation between the base and the effective S% is shown.

When specifying the B variation, MAX and the average are used as reference targets, but any reference target such as MAX and MIN, average and MIN may be used as reference targets. For example, the effective S% below the average may be simulated by the B variation or S0B specified from the relationship between the average and the MIN, or the base when the effective S% is 0, that is, BYmin as S0B. Even if it is simulated by the effective S% such as average and MIN and the base (second base), and the effective S% when the base is BYmin (first base), that is, the B variation derived from 0 and BYmin. good. Similarly, the classification of the simulation value 1 and the simulation value 2 and the classification of the provisional effective S% 1 and the provisional effective S% 2 may be classified by an average or the like in addition to the classification by MIN.

Other S-related information such as the base was specified after requesting other S information such as winning S% for effective S%, but other S-related information was specified without specifying other S information by changing the calculation formula etc. It may be specified, or the configuration may be such that other S information is specified but other S-related information is not specified. The same applies to the effective S% with respect to the winning S%.

Similarly, although it is illustrated that the effective S% is specified from the sales information, the winning S% may be simulated by the same calculation method, and the corresponding S information of the valid S% and the winning S% is specified. Corresponding S-related information such as a base, which can be calculated by using the corresponding S information, may be specified, or the corresponding S information may be specified but the corresponding S-related information may not be specified.

The influential game information may be indirectly included even if it is not directly included in the calculation formula. For example, if the numerical value to be calculated changes when the numerical value of the target game information is changed. On the other hand, if the numerical value does not change, that is, if there is no contradiction even if the numerical value is not changed, the game information has no effect.

When the effective S% or the like is MIN or less, the BYof of MIN is set as the BYof of simulation 2, but MAX or the average BYof may be adopted.
Either "excess" or "greater than or equal to" may be adopted for comparison with the reference value. In addition, the expression "reached" including "less than" and "less than or equal to" is a concept that the absolute value is "exceeded" or "greater than or equal to" the reference value having the same positive and negative signs.

If the setting information such as the illustrated setting value is set in advance, it may be arbitrarily set by the game hall manager or set by the manufacturer of the management device 4, or it may be managed externally (for example, the chain store headquarters). It may be downloaded from the server 9 and set, or the actual value may be set as it is without inputting the operation. Further, all the illustrated game information may be specified directly by the game signal or indirectly by using an arithmetic expression or the like.

Although the model is illustrated as a game machine group, any game machine group may be targeted, for example, a game machine island unit, a rate unit, or a game machine of the entire game field is set as one group.
The target game machine can be exemplified by a pachinko game machine, but of course, a game machine other than the example may be targeted. In this case, a so-called enclosed game machine or the like that updates the points on the data according to the game without discharging the game medium can be assumed. Therefore, the expression of the game value including the game media such as balls and medals and the above points is used. Used as appropriate. In addition to the big hit lottery as a unit game, the unit game includes a process that allows a prize to be entered in the V winning opening where a big hit occurs due to a prize, a so-called game machine that opens the splash of a honey. Any process may be adopted.

A state signal that can distinguish between a normal state, a big hit, and a special state is illustrated, but as a state signal that can identify at least one of the normal state and the special state, for example, only a big hit signal is adopted, and the normal state and the normal state are used. A state signal that is indistinguishable from a special state may be adopted. Further, although a gaming machine capable of classifying a jackpot or a special state has been illustrated, a gaming machine such as a so-called ordinary machine in which only a normal state is provided as a gaming state may be targeted.

A part of the processing performed by the management device 4 may be performed by the game device 2, the relay device 3, the server 9, or the like. Further, it may be changed whether or not the illustrated configuration is appropriately adopted according to the setting, the illustrated configurations including the modified examples may be combined in any way, and the configurations may be excluded as appropriate. good.

In the drawing, 1 is a game machine, and 4 is a management device (basic S information setting means, basic information setting means, B information setting means, simulation means).

Claims (5)

A gaming machine that grants game value when a starting winning opening provided on the surface of the game board or a winning opening other than the starting winning opening is used for a game that consumes the game value, and the winning is given to the starting winning opening. When the start prize is won, the unit game is executed, and when the start prize is won during the execution of the unit game, the unit game corresponding to the start prize is withheld, while when the hold reaches the upper limit, the start prize is given. However, it is a system for amusement machines that manages game information of gaming machines that overflow without holding unit games.
Winning S information indicating a ratio of the starting winning against out a game value is consumed, and among the S information is valid S information indicating a ratio of a unit game against out groups for setting group S information is either S information setting means and
Basic information setting means for setting basic information including at least BYmin indicating the rate of giving the game value of the other winning portion, which is the winning portion to the other winning opening for the out.
B information setting means for setting B information indicating the correlation between the base indicating the rate of giving the game value to the out and the effective S information, and
The base S that can be calculated by using the winning S information and BYmin included in the basic information corresponds to the base that can be calculated by using the B information and the valid S information. At least one of the other S information, which is the S information that did not become the information setting information, and the other S-related information that can be calculated by using the other S information, can be the basic S information, the basic information, and the B information. Simulation means that simulates by calculation using
A system for amusement parks that is characterized by being equipped with. The B information setting means has a first base corresponding to the first valid S information and a second base corresponding to the second valid S information showing a value different from the first valid S information. Specifiable basic B information can be set,
The B information is characterized by including at least a B variation capable of specifying the ratio of the difference between the first base and the second base to the difference between the first effective S information and the second effective S information. The system for amusement park according to claim 1. The B information setting means can set S0B indicating a base corresponding to the B variation when the valid S information is 0.
The second aspect of claim 2, wherein the B information and the base that can be calculated by using the valid S information correspond to the B variation, the valid S information, and the calculated value using the S0B. Amusement park system. The basic B information includes the basic BYmin which is the BYmin corresponding to the first base or the second base.
The B information and the base that can be calculated using the valid S information correspond to the calculated values using the B variation, the valid S information, the S0B, the BYmin included in the basic information, and the basic BYmin. The system for amusement park according to claim 3. The basic information setting means sets the reference S information which is the reference value of the S information, and the reference BYof which corresponds to the reference S information and indicates the addition rate of the overflow amount to the out.
In the simulating means, when at least one of the basic S information and the other S information does not reach the reference S information, the winning S information is obtained by the calculated value using the reference BYof and the valid S information. As shown, the amusement park system according to any one of claims 1 to 4, wherein at least one of the other S information and the other S related information is simulated.

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