JPH0586589B2 - - Google Patents

Description

DETAILED DESCRIPTION OF THE INVENTION (A) Field of Industrial Application The present invention relates to a beverage vending machine equipped with a brewing machine.

(B) Conventional technology In general, in beverage vending machines equipped with a brewing machine, each time a beverage is sold, the brewing machine extracts a drink for one person and supplies it to the beverage supply section. If you try to buy all at once, there is a drawback that it takes a long time to finish purchasing because the brewing machine extracts the beverage each time one person is sold.

Therefore, in the beverage vending machine disclosed in Japanese Patent Application Laid-Open No. 62-89190, if the customer sets the number of cups and finishing time, when the decanter filling start time calculated from the reserved finish time is reached, the set Beverage is supplied to the carafe for the number of cups. Therefore, the beverage is supplied from the decanter to the cup while the set number of cups of coffee is stored in the decanter, so that when purchasing in bulk, the time required to finish the purchase is shortened.

(c) Problems to be solved by the invention The beverage vending machine disclosed in the above-mentioned publication is
When several customers buy multiple drinks at once, it is possible to shorten the sales time, but for example, with a drink vending machine installed in a factory, sales are concentrated during breaks, and individual If a customer continuously buys one drink at a time, the beverage supply device described above does not store multiple drinks in the decanter, so it is necessary to extract the drink with a brewing machine each time it is sold. It becomes impossible to shorten the sales time, and there is a problem that many drinks cannot be sold during the limited holiday time.

In order to solve the above-mentioned problems, the present invention is based on the actual value of the number of cups sold in a preset time period, and also based on the comparison between the predicted value and the actual value for the time period that has already passed. The predicted value of the number of cups is calculated, and the number of cups of beverage corresponding to the predicted value is extracted from the extractor by the start time of the time period, stored in the storage section, and the beverage is delivered from the storage section to the beverage supply section. supply. Therefore, it is an object of the present invention to provide a beverage vending machine that can shorten the sales time, improve sales efficiency during the time period, and increase the number of drinks sold.

(d) Means for Solving the Problems In order to solve the above problems, the vending machine according to the present invention is a beverage vending machine having a storage section capable of storing multiple cups of beverages extracted by a brewing machine. A counting means for counting the actual number of cups sold in a preset time period, and a calculation means for calculating the number of cups sold in the next time period based on a comparison between the predicted value and the actual number of cups sold in the time period that has already passed. calculation means for calculating a predicted value, and by the start of the time period, the brewer extracts in advance a number of drinks corresponding to the predicted value calculated by the calculation means, and the storage unit The configuration is such that the storage space is stored in

(E) Function According to the beverage vending machine of the present invention, the counting means counts the actual number of cups sold in a preset time period, and the calculation means counts the actual number of cups sold in the time period that has already passed. A predicted value of the number of cups sold in the next time period is calculated based on a comparison between the predicted value and the actual value. At the start of the time period, the number of cups of beverage corresponding to the predicted value calculated by the calculation means is extracted in advance by a brewing machine and stored in the storage section, and during the time period, the beverage stored in the storage section is Sell. Therefore, the number of cups of beverage stored in the storage section does not require extraction time using a brewing machine.

(F) Embodiment An embodiment of the present invention will be described with reference to the drawings. FIG. 1 shows a block diagram of a beverage vending machine as an embodiment, and (1) is a vending control section, which controls money processing. The input amount is calculated based on an input money signal from a device (not shown), and the sales price of each product for sale is compared with the input amount to determine the products that can be sold. Subsequently, when the customer selects a product that can be sold by operating a selection switch or the like, the sales control section 1 controls the extraction device 2 and the beverage supply device 3 to extract and supply the beverage.

Reference numeral 4 denotes a data input means composed of, for example, a keyboard, through which a time period during which sales are concentrated, such as factory holidays, is inputted, and a predicted value for predicting how many cups will be sold during that time period is inputted. Various correction coefficients K, C, which will be revealed later for calculation
Input D, E, F, G.

Reference numeral 5 denotes a counting means, which counts the actual number of cups sold in the time period designated by the data input means 4 based on the number of outputs of the sales signal from the sales control section 1.

6 is a calculation means for calculating a predicted value of the number of cups sold in the time period specified by the data input means 4;
For example, the average value of the actual number of sold cups counted by the counting means 5, the difference between the past actual value and the predicted value, the various correction coefficients K input into the data input means 4,
C, D, E, F, G, calculate the predicted value of the number of cups sold in the next time period based on the temperature correction coefficient H corresponding to the temperature detected by the temperature detection unit 7, and respond to the predicted value. The preparation time is calculated by taking into consideration the time at which drinks for the number of cups prepared will be extracted.

Based on the signal from the sales control section 1, the extraction device 2 extracts the number of drinks corresponding to the predicted value calculated by the calculation means 6 by the start time of the next time period.

The above is an explanation of the structure of the block diagram shown in FIG.

Further, FIG. 2 shows a schematic diagram of a beverage vending machine as an embodiment of the present invention. To explain FIG. A raw material container 11 in which powdered coffee beans are stored is a cup placed on a beverage supply section. Reference numeral 12 denotes an extractor, which is supplied with hot water from a hot water tank 9 by opening a hot water supply electromagnetic valve 13, and is supplied with powdered coffee beans in the raw material container 10 by rotation of an auger 15, and then is heated to a high pressure. Apply compressed air to filter 1.
7 and extract the coffee.

Reference numeral 18 denotes a storage section capable of storing a plurality of cups of beverage extracted from the brewing machine 12, and a heater 19 for keeping warm and a remaining amount detection electrode 20 for detecting the remaining amount of coffee in the storage section 18 are built-in. There is. Reference numeral 21 denotes a beverage supply valve, which is installed in a beverage supply pipe 22 communicating with the storage section 18, opens every time a product is sold, and supplies beverage to the cup 11 through a nozzle 23. The above is an explanation of the schematic diagram shown in FIG.

The extraction device 2 shown in the block diagram of FIG. 1 is composed of a hot water tank 9, a hot water supply solenoid valve 13, a raw material container 16, an auger 15, an extractor 12, and a filter 17. The beverage supply device 3 includes a storage section 18, a heater 19, a remaining amount detection electrode 20, a beverage supply valve 21, and a nozzle 23.

Next, the operation of the embodiment of the present invention shown in FIGS. 1 and 2 will be explained. First, the administrator enters data into the data input means 4 as shown in FIGS. 4 and 5.
AM10:00~AM:10:10, PM12:00~PM12:
10, PM3:00~PM3:10, PM5:00~PM5:10
Enter the time zone in advance. Specifically, this time period is a time when factories and the like are closed, and is a time period when beverage sales are concentrated. Then, the predicted number of cups sold for each time period inputted above, for example,
An initial value of a predicted value that predicts that 35 cups will be sold between 10:00 AM and 10:10 AM is input into the data input means 4. Furthermore, the calculation means 6 inputs into the data input means 4 correction coefficients K, C, D, E, F, and G used for calculating the predicted value of the number of cups sold in the time period.

When the above-mentioned input operation by the administrator is completed, the beverage vending machine enters the vending state.

Here, among the time slots inputted in advance in the data input means 4, for example, if the earliest arrival time slot is 10:10 AM to 10:10 AM, and the predicted value of the number of sales for that time slot is 35. If the extractor 12 can extract up to 5 cups of coffee at a time, and the time required for one extraction is 1 minute, then the calculation means 6 will require 7 minutes to extract 35 cups of coffee. By calculating this, the preparation time to start brewing coffee is calculated as 9:53 AM. The preparation time is
It is OK to do it before 9:53 AM, but since we want to sell as freshly brewed coffee as possible to customers, it is preferable to delay the preparation time as much as possible, taking into account the brewing time for the predicted number of cups.

When the preparation time calculated by the calculation means 6 as described above arrives, the sales control unit 1 outputs a signal to the motor (not shown) that drives the hot water supply solenoid valve 13 and the auger 15, and the hot water supply solenoid valve 13 is activated. At the same time as opening the valve, the auger 15 is driven to rotate, and hot water from the hot water tank 14 and powdered coffee beans from the raw material container 16 are supplied to the extractor 12.

The extractor 12 supplied with hot water and coffee beans extracts the predicted number of cups of coffee beans through a filter 17 by applying high-pressure compressed air. As mentioned above, in order to extract 35 cups of coffee, the extractor 12 must be operated 7 times, which requires 7 minutes of extraction time. The extracted coffee is sequentially sent to the storage section 18 each time the brewing machine 12 is operated, but since the storage section 18 has a built-in heater 19 for keeping it warm, the coffee is delivered within 7 minutes. It never gets cold.

At the start time of the time slot set in advance as described above, for example, 10:00 AM, 35 cups of coffee, which corresponds to the predicted number of cups, are extracted, and the storage unit 1
It is stored at 8. Here, as the time period
Sales start from 10:00 AM, and if the customer inserts coins and selects a product that can be sold, the sales control unit 1
outputs a signal to the beverage supply valve 21 to open the beverage supply valve 21 for the time required for one cup of coffee to flow out from the storage section 18 via the beverage supply pipe 22;
Coffee is supplied to cup 11. This beverage supply operation is completed in 7 seconds, so if the extraction was done with an extraction machine every time it was sold, as in the past, it would take 30 seconds.
This significantly shortens the time it takes to supply beverages.

Then, the above sales operation is repeated until the predicted value of 35 cups of coffee in the storage unit 18 is sold out.
In addition, since the coffee in the storage section 18 is discarded after 30 minutes from the time of completion of extraction due to a decrease in flavor, the supply of beverage from the storage section 18 is continued until 10:30 AM, which is 30 minutes after the completion of extraction. After 35 cups of coffee are sold out as the predicted value in the storage section 18, or after 30 minutes have passed from the time when the coffee extraction is completed, the coffee in the storage section 18 is discarded, and the coffee is extracted by the extraction machine 12 every time it is sold. Switched to general sale, supplying coffee.

On the other hand, the counting means 5 counts the signals output from the sales control unit 1 for each sale between 10:00 AM and 10:10 AM, which is a pre-input time period.
The calculating means 6 counts the actual value of the number of cups sold during the time period and stores the actual value.

Here, FIG. 4 shows data input means 4 in advance.
This is a table showing the time periods inputted in , and the actual values for the time periods, and if the data input operation to the data input means 4 is completed by 8:00 AM on November 19th (Thursday), 8:00 AM: General sales will begin from 00:00 and will continue until the preparation time.

If the initial predicted value for 10:00 AM to 10:10 AM is 35 cups, then 7:53 AM will be the preparation time as mentioned above, and from the preparation time to 10:00 AM.
35 cups of coffee are extracted by the brewing machine 12 and stored in the storage section 18, and sold in this state to obtain the actual value.
₁₉ R ₁₀ is counted by the counting means 5, and the actual value ₁₉ R ₁₀ is stored in the calculation means 6.

Similarly, even during the hours of 12:00 PM to 12:10 PM,
Based on the initial value of the number of cups sold input into the data input means 4, the calculation means 6 calculates the preparation time, and prepares the predicted number of cups of coffee in the storage unit 18 from the preparation time to 12:00 PM. After that, the product is sold, the actual value ₁₉ R ₁₂ is counted, and the actual value ₁₉ R ₁₂ is stored in the calculation means 6.

Thereafter, the above-mentioned operation is repeated, coffee is prepared according to the initial predicted value input into the data input means 4, and the actual values ₁₉ R ₃ and ₁₉ R ₅ are counted by the counting means 5 and stored in the calculation means 6. .

Further, once the time slots input to the data input means 4 are completed, the calculation means 6 calculates a predicted value of the number of cups sold for each time slot next time.

Here, the correction coefficients K, C, D, E, F, G and temperature correction coefficient H, which have already been input to the data input means 4 and are used to calculate the predicted value by the calculation means 6, will be explained below.

(1) Correction coefficient K The correction coefficient K is a value for changing the calculation formula for calculating the predicted value, depending on whether the difference between the predicted value and the actual value exceeds K or not.For example, a value such as 6 cups. It is.

(2) Correction coefficient C Correction coefficient C is used to correct the increase and decrease in the number of cups sold before and after the payday or bonus payment date.For example, as shown in Figure 6, from the day of the payday or bonus payment date. The number of cups sold shows a decreasing trend from about a week ago, increases the day after payday or bonus payment date, and then decreases over the next week. If the standard value of the correction coefficient is 1.0, the value will be 0.7 on the day before payday, and 1.3 on the day after payday, for example.

(3) Correction coefficient D Correction coefficient D is the change in the number of cups sold when replacing with a novel new flavor.For example, as shown in Figure 7, the unit of change is one week, and the first month is the highest. value and the flavor before replacement.
If 1.0 is the standard value, the maximum value may be 6 times or 10 times. The number of cups sold decreased one month after replacing the flavor, and after three months, the number of cups sold decreased to the standard value.
Return to 1.0.

(4) Correction factor E Correction factor E is the amount of drinks sold when more customers start to gather at the beverage vending machine due to replacing the signboard in the display room of the beverage vending machine or placing plants next to it. This is to compensate for the increase in the number of plants, which changes on a monthly basis as shown in Figure 8, and changes the number before replacing signboards or installing plants to the standard value.
If it is set to 1.0, the maximum value will be doubled, the maximum value will be maintained for 3 months, the number of cups sold will decrease after 3 months, and it will return to the standard value of 1.0 after 6 months.

(5) Correction coefficient F Correction coefficient F is used to correct the decrease in the number of drinks sold when another beverage vending machine is newly installed. For example, as shown in Figure 9, It changes on a monthly basis, and if the decline in the number of drinks sold remains at its highest for the first three months, and the value before a new beverage vending machine is installed is the standard value of 1.0, then
The maximum value becomes a value such as 0.5, the number of cups sold increases after three months, and returns to the standard value after six months. However, there may be cases where the effects of newly installed beverage vending machines are permanent and the values do not return to standard.

(6) Correction coefficient G The correction coefficient G is a correction based on changes in the number of people selling beverages at the location where the beverage vending machine is installed.For example, if the vending machine is installed in a company and everyone goes to work, it will be 1.0.
If 30% of people go to work, the value will be 0.3.

(7) Temperature correction coefficient H The temperature correction coefficient H is a correction based on the change in the number of cups sold corresponding to the outside temperature. For example, Figure 10 shows the temperature correction coefficient H that changes according to the outside temperature and the number of cups sold.
This is a characteristic diagram for the case with the highest number of cups sold.
In the case of hot beverages such as coffee, the number of cups sold increases when the outside temperature is low, and the number of cups sold decreases as the outside temperature rises. Also, the calculation means 6
determines the temperature correction coefficient H based on the outside air temperature measured by the temperature detection section 7 and the characteristic diagram shown in FIG. 10 described above.

The above is an explanation of the correction coefficient used by the calculation means 6 to calculate the predicted value of the number of cups sold.

Next, to explain the calculation formula of the calculation means, first, there are four time periods input in advance into the data input means 4: time periods o, p, q, and r, and the time periods are, for example, 10:00 AM to 10:10 AM. As in 1
It is a predetermined time period within the day, and in the order of time o, p,
Assume that q, r.

Let i be the number of times the time slots o, p, q, and r have arrived.

Below is the calculation formula, , , , , ,
Describe.

_i+1 A ₀ = {( _i R ₀ + _i-1 R ₀ + _i-2 R ₀ +…+ ₁ R ₀ /
i+ _i R ₀ − _i A ₀ /3+ _i R _r − _i A _r /3+ _i R _qi A _q /3) ×C×D×E×F×G+0.7( _i R _r − _i A _r )}× H _i+1 A _p = {( _i R _p + _i-1 R _p + _i-2 R _p +...+ ₁ R _p /
i+ _i R _p − _i A _p /3+ _i+1 R ₀ − _i+1 A ₀ /3+ _i R _r − _i A _r /3)
×C×D×E×F×G+0.7( _i+1 R ₀ − _i+1 A ₀ )}
×H _i+1 A _q = {( _i R _q + _i-1 R _q + _i-2 R _q +…+ ₁ R _q /
i+ _i R _q − _i A _q /3+ _i+1 R _p − _i+1 A _p /3+ _i+1 R ₀ − _i+1 A ₀ /
3) ×C×D×E×F×G+0.7( _i+1 R _p − _i+1 A _p )}
×H _i+1 A _r = {( _i R _r + _i-1 R _r + _i-2 R _r +…+ _i R _q /
i+ _i R _r − _i A _r /3+ _{i+1 R q} − _i+1 A _q /3+ i+1 R _p − _i+1 A _p /
3) ×C×D×E×F×G+0.7( _i+1 R _q − _i+1 A _q )}
×H _i+1 A ₀ = ( _i R ₀ + _i-1 R ₀ + _i-2 R ₀ +…+ _i R ₀ /i
+ _i R ₀ − _i A ₀ /3+ _i R _r − _i A _r /3+ _i R _q − _i A _q /3) ×C×D×E×F×G×H _i+1 A _p =( _i R _p + _i-1 R _p + _i-2 R _p +...+ ₁ R _p /i
+ _i R _p − _i A _p /3+ _i+1 R ₀ − _i+1 A ₀ /3+ _i R _r − _i A _r /3) ×C×D×E×F×G×H _i+1 A _q =( _i R _q + _i-1 R _q + _i-2 R _q +...+ ₁ R _q /i
+R _q − _i A _q /3+ _i+1 R _p − _i+1 A _P /3+ _i-1 R ₀ − _i+1 A ₀ /3
) ×C×D×E×F×G×H _i+1 A _r =( _i R _r + _i-1 R _r + _i-2 R _r +…+ _i R _r /i
＋ _i R _r − _i A _r /3+ _i+1 R _q − _i+1 A _q /3+ _i+1 R _p − _i+1 A _p /3
) ×C×D×E×F×G×H And the various correction coefficients K, C, D, E, F mentioned above.
Arithmetic expression using G and H, ,,,,,
, select one arithmetic expression from , and calculate the predicted value of the number of sales.

To select an arithmetic expression, first select a time period for which a predicted value is to be calculated, and then compare the absolute value of the difference between the predicted value and the actual value in the time period before the selected time period with the correction coefficient K.

To explain specifically, if you want to calculate the predicted value for time period O, you will select one of the calculation formulas, and for time period P, you will select the calculation formula and time period q.
The choice is between the arithmetic expression if , and the arithmetic expression if time period r.

For example, to select one of the calculation formulas to calculate the predicted value _i+1 A _p of time period P, the predicted value _i+1 A ₀ of time period O in the time period before time period P and the actual value _i+1
If R ₀ , then | _i+1 R ₀ − _i+1 A ₀ |>K, then it becomes an arithmetic expression | _i+1 R ₀ − _i+1 A ₀ |≦K, it becomes an arithmetic expression.
This is 0.7 _× ( _{i + 1 R 0} − _i+1 A ₀ )
If the previous predicted value is greater than or equal to K, the predicted value and actual value will be close, so 0.7×( _i+1 R ₀ − _i+1 A ₀ ) means to use an arithmetic expression that omits the term.

Thereafter, the selection of arithmetic expressions, arithmetic expressions, and arithmetic expressions is performed in the same manner.

When the selection of the calculation formula is completed as described above, the calculation means 6 calculates a predicted value of the number of cups sold in the past based on the calculation formula.

Here, an example of calculation of predicted values will be explained based on the examples shown in FIGS. 4 and 5. For example, the predicted value for the time period from 3:00 PM to 3:10 PM on November 26th _{is 26} A _{3
If | 26 R 12 − 25 A 12 | _ _ _ _ _ _ _ _}
- ₂₅ A ₃ / 3 + ₂₆ R ₁₂ - ₂₅ A ₁₂ / 3 + ₂₅ R ₁₀ - ₂₅ A ₁₀ / 3) × C × D × E × F + 0.7 × ( ₂₆ R ₁₂ − ₂₆ A ₁₂ )} × H | ₂₆ R ₁₂ − ₂₅ A ₁₂ | If ≦K, ₂₆ A ₃ = ( ₂₅ R ₃ + ₂₄ R ₃ + ₂₃ R ₃ + ₂₀ R ₃ + ₁₉ R ₃ /5 + ₂₅ R ₃ −
₂₅ A ₃ /3 + ₂₆ R ₁₂ - ₂₅ A ₁₂ /3 + ₂₆ R ₁₀ - ₂₆ A ₁₀ /3) ×C × D × E × F × H.

The above is an example of calculating the predicted value of the number of cups sold used in the embodiment of the present invention. The calculation method is not limited to the above method; for example, during the first week when the actual value of the number of sold cups is not sufficiently obtained, no calculation is performed and the predicted value of the input initial value is used. may also be used. In addition, if the predicted number of cups sold exceeds the actual value, that is, if the coffee in the storage unit is sold out within the time period, the sales time per person will be It used to take about 7 seconds, but from the next sale onwards, the coffee has to be extracted using a brewing machine and then sold, so the sales time per person takes about 30 seconds. Therefore, if there is a 10-minute break, the coffee prepared in the storage unit will be sold out in the first 5 minutes, and if customers line up to purchase coffee continuously during those 5 minutes, approximately 40 cups of coffee will be sold out in the first 5 minutes. Coffee will be sold. However, during the remaining 5 minutes of break time, each sale takes at least 30 seconds, so
At most, you can only sell 10 cups of coffee. For this reason, the actual number of cups sold may be lower.

Therefore, by detecting the time when coffee is sold out,
A more arithmetic expression may be selected depending on the time to prevent the actual value from appearing lower.

After calculating the predicted value of the number of cups sold, the calculating means 6 calculates a preparation time based on the predicted value, and prepares coffee for the number of cups corresponding to the predicted value in the storage section 18 at the preparation time. I'll keep it.

The above is the operation of the beverage vending machine as an embodiment of the present invention shown in FIGS. 1 and 2.

Next, a flowchart of the operation of the beverage vending machine as an embodiment of the present invention shown in FIG. 3 will be explained.

In step _S1 , the data input means 4 inputs one or more predetermined time periods as data, the initial value of the predicted number of cups sold in the time period, and the calculation means 6 inputs the predicted number of cups sold in the time period. It is determined whether the various correction coefficients K, C, D, E, F, G, H used in the calculation formula used when calculating the predicted value have been input, and if it is determined that the data has been input. The process moves to the data input mode of step _S2 , and then moves to step _S3 .

On the other hand, if it is determined in step S ₁ that no data has been input, the process moves to step S ₄ and the process continues.
In _S4 , the customer inputs the amount required to sell the product and selects a product that can be sold using a selection switch (not shown).
If it is determined that the sales start state is reached in S ₄ , proceed to step S ₅ .
Then, in response to a sales signal from the sales control section 1, one cup of coffee is extracted by the brewing machine 12 and supplied to the cup 11, and then the process returns to step _S1 . On the other hand, if it is determined in step _S4 that the sales start state is not reached, the process returns directly to step _S1 .

In step _S3 , the data input means 4 is
From the start time of the time slot inputted in , it is determined whether or not the preparation time is the time required for the coffee brewing machine 12 to brew the predicted number of cups sold in the time slot, and then proceeds to step _S3 . If it is determined that it is not the preparation time, the process moves to step _S4 described above.

On the other hand, if it is determined in step _S3 that it is the preparation time, the process moves to step _S6 , and the brewing machine 12 starts extracting the number of cups of coffee corresponding to the predicted number of sold cups from the above-mentioned preparation time. Then, by the start time of the time period, the extraction of coffee for the number of cups corresponding to the predicted value is completed, stored in the storage section 18, and then
Move to S ₇ .

In step _S7 , it is determined whether or not it is the start time of the time period, and if it is determined that it is not the start time, the process remains at step _S7 .

On the other hand, if it is determined at step _S7 that it is the start time,
The process moves to step _S8 , and in step _S8 , it is determined whether the customer inputs the amount necessary to make the product available for sale and selects a product that can be sold using a selection switch (not shown) to start sales. If it is determined that sales have started in step _{S 8} , the process moves to step S ₉ , while step S ₈
If it is determined that the sale has not started, proceed to step S ₈ .
Stay in.

In step ₉ , the remaining amount detection electrode 20 detects whether there is coffee in the storage section 18. If it is determined in step _S9 that there is coffee in the storage section 18, the process moves to step _S10 , and in step _S10 , In response to the sales signal from the sales control section 1, the beverage supply valve 21 is opened to supply one cup of coffee to the cup 11, and the coffee stored in the storage section 18 is supplied to the cup 11, followed by step _S12. to move to.

On the other hand, if it is determined in step S ₉ that there is no coffee in the storage section 18, the process moves to step S ₁₁ , in which one cup of coffee is extracted by the extractor ₁₂ and the extracted coffee is passed through the beverage supply valve 21. The valve is opened to supply the cup 11, and then the process moves to step _S12 .

In step _S12 , the number of sales signals from the sales control section 1 is counted by the counting means 5, and the actual value of the number of cups sold is added for one cup, and the process moves to step _S13 .

In step _S13 , it is determined whether or not it is the end time of the time period. If it is not determined in step _S13 that it is the end time, the process returns to step _S8 .

On the other hand, if it is determined in step _S13 that it is the end time,
Move to step S ₁₄ , and in step S ₁₄
The absolute value of the difference between the actual value Rn counted by the counting means 5 in _S12 and the predicted value An in step _S6 is
_It is determined whether or not it exceeds the correction coefficient K input in advance into the data input means 4. If it is determined in step _S14 that |Rn−An|>K, the process moves to step _S15 . Select an arithmetic expression according to the time period from among the arithmetic expressions used when calculating the predicted value of the number of cups sold in the time period by the arithmetic means 6, and calculate the predicted value using the arithmetic expression. Then move on to step _S17 . On the other hand step
If it is determined in _S14 that |Rn−An|≦K, then in step _S14 , the calculation formula, , ,
, an arithmetic expression is selected, a storage operation is performed using the arithmetic expression, and the process proceeds to step _S17 .

In step _S17 , a temperature correction coefficient H is determined based on the outside air temperature detected by the temperature detecting section 7, and a predicted value is further calculated by the calculation means 6 to determine the predicted value, and the process returns to step _S3 .

The above is an explanation of the flowchart of the operation of the beverage vending machine as an embodiment of the present invention shown in FIG.

(G) Effects of the Invention According to the beverage vending machine of the present invention, when sales are concentrated during a preset time period, such as a factory holiday, sales within the time period are completed by the start time of the time period. Beverage for the number of cups corresponding to the predicted value of the number of cups is extracted in advance by a brewing machine and stored in a storage section, and if there is a sale, the already extracted beverage is supplied from the storage section.

For this reason, unlike conventional beverage vending machines that extract and supply beverages each time they are sold, according to the beverage vending machine of the present invention, if a beverage is sold during a preset time slot, Since the beverage is supplied from the storage unit, it is possible to omit the extraction time using a brewing machine, and it is possible to shorten the sales time per person during the preset time period, so it can be done within a limited time. To efficiently sell beverages extracted by a brewing machine.

[Brief explanation of the drawing]

FIG. 1 is a block diagram of a beverage vending machine as an embodiment of the present invention, FIG. 2 is a schematic diagram of the same beverage vending machine, FIG. 3 is a flowchart explaining the operation of the beverage vending machine, and FIG. Figures 4 and 5 are tables showing actual and predicted numbers of cups sold in each time period, Figures 6 to 9 are graphs of the characteristics of various correction coefficients versus time, and Figure 10 is a graph of temperature correction coefficients. It is a characteristic diagram with respect to temperature. 5... Counting means, 6... Calculating means, 12... Extracting machine,
18...Storage section.

Claims (1)

[Claims] 1. In a beverage vending machine that has a storage section that can store multiple cups of beverages extracted by an extraction machine,
A counting means for counting the actual number of cups sold in a preset time period, and a calculation means for calculating the number of cups sold in the next time period based on a comparison between the predicted value and the actual number of cups sold in the time period that has already passed. calculation means for calculating a predicted value, and by the start of the time period, the brewer extracts in advance a number of drinks corresponding to the predicted value calculated by the calculation means, and the storage unit A beverage vending machine that stores beverages in