JP2956326B2 - coffee maker - Google Patents

Description

DETAILED DESCRIPTION OF THE INVENTION

[0001]

BACKGROUND OF THE INVENTION 1. Field of the Invention The present invention relates to a coffee maker which detects a setting state of a coffee maker by a user, automatically determines various extraction conditions for coffee, performs optimal coffee extraction, and realizes a desired taste. Things.

[0002]

2. Description of the Related Art In recent years, the demand for tastes of coffee maker users has been diversified, and there is a tendency to seek more delicious foods.

In a conventional coffee maker, when a user sets a predetermined amount of beans and a predetermined amount of water in a container, an average taste is extracted by a standard extraction method.

[0004]

However, in the above conventional technique, the method of extracting coffee is always constant,
Differences occurred in the extraction results due to subtle weighing differences in the setting of the amount of beans and the amount of water, and nobody could provide a delicious coffee.

SUMMARY OF THE INVENTION The present invention is to solve the above-mentioned conventional problems, and to provide a coffee maker which can automatically detect the amount of water and beans in which the optimum conditions for brewing coffee are set, and can perform the optimum extraction. With the goal.

[0006]

According to a first aspect of the present invention, there is provided a water amount detecting means for detecting an amount of water contained in a container for containing water, and an amount of beans contained in a container for containing coffee beans. Amount detection means for detecting the amount of water, and the detection outputs of the water amount detection means and the
Inference means for determining the power supplied to the heater based on inference conditions
To the heater with the power supplied by the inference means.
The coffee maker is provided with a heater control means for controlling the energization of the coffee machine.

[0007] A second invention is a method for grinding coffee beans.
Mill motor, water amount detecting means for detecting the amount of water contained in the container for containing water, bean amount detecting means for detecting the amount of beans contained in the container for containing coffee beans, the water amount detecting means and the beans amount detecting means And the inference means for determining the rotation speed of the mill motor according to the inference conditions set in advance, and the rotation speed determined by the inference means.
The coffee maker is provided with motor control means for controlling energization of the motor.

[0008] In a third aspect of the present invention, there is provided a water amount detecting means for detecting an amount of water contained in a container for containing water, a beans amount detecting means for detecting the amount of beans contained in a container for containing coffee beans, and the container Cut the water inside into the coffee extraction side and the container side
The switching valve to be changed, and the detection outputs of the water amount detection means and the beans amount detection means are input, and the cutoff is performed according to a preset inference condition.
After the replacement valve switches from the container side to the coffee extraction side,
Pre-extraction time before returning to the container side
And switch the switching valve back to the coffee brewing side
Inference means for determining the steaming time until, and the switching valve
After switching from the container side to the coffee extraction side, the inference
Until the pre-extraction time determined by the means elapses,
Maintain the valve on the coffee brewing side and allow this pre-brewing time to elapse.
If it passes, the switching valve will continue until the steaming time elapses.
Is kept on the container side, and after the steaming time has elapsed,
The coffee maker is provided with valve switching means for switching the replacement valve to the coffee extraction side .

[0009]

According to the configuration of the first aspect of the invention, information on the amount of beans and the amount of water set by the user at the time of extracting coffee is detected by the beans amount detecting means and the water amount detecting means, and based on this information. By inferring the optimal extraction conditions by the inference means, and controlling the energization of the heater based on the result, the coffee is extracted with the know-how set in the inference means. Therefore, if know-how to extract delicious coffee is set in this inference means, delicious coffee can always be obtained irrespective of fluctuations in the set amount of beans and water.

According to the second invention, information on the amount of beans and the amount of water set by the user at the time of extracting coffee is detected by the beans amount detecting means and the water amount detecting means, and inference is performed based on the information. Means for deciding the optimum conditions for crushing the beans, and controlling the motor viewed by the motor control means in accordance with the determination to extract coffee using the beans crushed under the optimum crushing conditions. Therefore, a delicious coffee can always be obtained regardless of the fluctuation of the set amount of the beans amount and the water amount.

According to the third invention, the valve switching means operates so that the switching position and the switching time of the switching valve coincide with the preliminary extraction time and the steaming time determined by the inference means. Regardless of the variation in the amount of water and the set amount of water, a delicious coffee can always be obtained.

[0012]

Embodiment 1 An embodiment of the present invention will be described below with reference to the drawings. In FIG. 1, 1 is a container for holding water, 2 is a heater for heating, 3a to 3f are members constituting a circulation mechanism,
a is an intake pipe for taking out water from the container 1, 3b is an intake pipe 3a
The check valve 3c, which prevents the backflow of water flowing through the tube, receives the heat of the heater 2 and transfers the heat to the water in the pipe to generate steam, and the check valve 3b prevents the backflow by the expansion pressure of the generated steam. A communication pipe for allowing water to flow out to the opposite end of the check valve 3b, a circulation pipe 3d for returning the water flowing out from the communication pipe 3c to the container, and a filter 3e for filtering the water flowing out from the communication pipe 3c for extracting coffee. The discharge pipe 3f for discharging the water to the case 11 and the cup 12 for storing the extracted coffee is a switching valve for switching the outflow direction of water from the communication pipe 3c to the circulation pipe 3d or the discharge pipe 3e. Reference numeral 4 denotes a water amount detecting means for detecting the amount of water from a temperature value of a temperature sensor attached to a lower portion of the container 1 based on a rising speed of the water temperature in the container 1. Reference numeral 5 denotes a bean container for storing coffee beans. A mill for crushing, 7 is a mill motor for driving a crushing mechanism of the mill 6, 8 is a bean amount detecting means for detecting the amount of beans in the bean container 5 based on a time until a transmitted sound wave returns by combining an ultrasonic transmitter and a receiver. And 9 are inference means for inputting the detection value of the bean amount detection means 8 and the detection value of the water amount detection means 4 as fuzzy inferences for optimal extraction conditions. Means 9a, water amount membership function storage means 9b for storing inference data to be referred to when the water amount adaptability calculating means 9a infers the degree of adaptation, beans for inferring the degree of adaptation of the amount of beans from the detected amount of beans. Quantitative adaptability calculating means 9
c, the calculation result of the bean amount membership function storage unit 9d and the water amount suitability calculating unit 9a for storing inference data to be referred to when the bean amount suitability calculating unit 9c infers the degree of conformity, and the bean amount suitability Output suitability calculating means 9e which receives the calculation result of the calculating means 9c as input and calculates the output of the optimal extraction condition, and output membership function storing means 9f which stores data which the output suitability calculating means 9e refers to when performing the calculation. Is made up of Reference numeral 10 denotes a heater control unit that controls the output of the heater 2 based on the extraction condition determined by the inference result of the inference unit 9.

The operation of the coffee maker configured as described above will be described with reference to FIGS. 2 (a), 2 (b) and 2 (c).

FIG. 2A is a graph showing the degree of conformity of the water amount to the detection value of the water amount detection means 4 based on the amount of water in the container 1, that is, the number of cups (1 cup = 135 cc). (B) shows the amount of beans in the bean container 5 (1 cup = 8
7 is a graph showing the frequency of the bean amount suitability with respect to the detection value of the bean amount detection means 8 based on g).

First, the user puts water in the container 1 and coffee beans in the bean container 2 and performs an extraction start operation. Upon receiving this start signal, the inference means 9 measures the amount of beans from the bean amount detection means 8 and inputs the detected value. The bean amount adaptability calculating means 9c makes an inference based on the data shown in FIG. The data of FIG. 8B is stored in advance in the bean amount membership function storage unit 9d,
"c" calculates the frequency of the amount of water by referring to the storage table of the bean amount membership function storage means 9d and outputs it to the output adaptability calculation means 9e. If the input bean amount is 12g, "Small"
Is 0.5 and the frequency of "slightly small" is 0.5. In addition, the mill motor 7 starts rotating in response to the start signal, the crushing mechanism of the mill 6 performs a crushing operation, and the crushed beans are stored in the filter case 11. When the pulverization is completed, the mill motor 7 stops, and then the heater control means 10 starts energizing the heater 2. The water in the container 1 is supplied to the intake pipe 3a and the check valve 3
The water heated by the heater 2 accumulates in the communication pipe 3c as shown in FIG. 2B to generate steam, and the water heated by the steam pressure is returned to the vessel 1 from the switching valve 3f through the circulation pipe 3d and circulates.
The water in the container 1 is heated, and the water amount detecting means 4 detects the amount of water from the rate of increase of the heating temperature. The inference means 9 receives this water amount detection signal from the water amount detection means 4. The water amount adaptability calculating means 9a makes an inference based on the data shown in FIG. The data of FIG. 9A is stored in advance in the water quantity membership function storage means 9b, and the water quantity adaptability calculating means 9a calculates the frequency of the water quantity by referring to the storage table of the water quantity membership function storage means 9b, and outputs the data. Output to the degree calculating means 9e. If the input water volume is 202.5 cc, the frequency of “small” becomes 0.5 and the frequency of “slightly small” becomes 0.5.

FIG. 2 (c) is a diagram showing optimum output values at the frequencies of the water amount conformity and the bean amount conformity. The output suitability calculating means 9e makes an inference based on the data shown in FIG. 5C from the input numerical value of the amount of beans and the numerical value of the amount of water. Figure (c)
Are stored in advance in the output membership function storage means 9f, and the output adaptability calculating means 9e performs a center of gravity calculation from each input data by referring to the storage table of the output membership function storage means 9f. The output value of the heater 2 is calculated and output. Assuming that the input bean quantity frequency is "low", the frequency is 0.5, and the "slightly low" frequency is 0.
5, if the frequency of the water volume is 0.5 for “small” and 0.5 for “slightly low”, the center of gravity output value = (0.5 ×
0.5 × 390) + (0.5 × 0.5 × 400) +
(0.5 × 0.5 × 500) + (0.5 × 0.5 × 55
0) = 460, and the inference means 9 outputs the calculated value. The heater control unit 10 controls the output of the heater 2 so that the output is in accordance with the output value of the inference unit 9. If the inferred output is 460 and the rated output of the heater 2 is 800 W, the output becomes 460/800 = 2.3 / 4, and the heater is energized with a duty of 2.3 seconds in a 4-second cycle, and the heater output is output. Is controlled to 460W. By controlling and changing the output power of the heater 2, the amount of heat received by the communication pipe 3c changes, thereby changing the steam generation amount of the water heated by the heater 2 and changing the water heated by this steam pressure to the switching valve 3f. Then, the extraction speed at which the powder is poured into the coffee bean powder in the filter case 11 through the discharge pipe 3e changes. By changing the extraction speed, the component concentration of the coffee extract, that is, the taste of the coffee, is changed. By setting in the function storage means 9f data for obtaining an optimum extraction taste according to the detection values of the water amount detection means 4 and the bean amount detection means 8, the ratio of the amount of beans or water set by the user can be determined. Even if the conditions are different, it is possible to always obtain delicious coffee.

As described above, according to the present embodiment, the water amount detecting means, the beans amount detecting means, the inference means and the heater control means are provided, and the inference means optimally extracts the information based on the information on the beans amount and the water amount. By inferring the conditions and performing energization control of the heater based on the result, coffee is extracted with the know-how set in the inference means. Therefore, by setting know-how for extracting coffee deliciously in the inference means, a coffee maker which can always obtain delicious coffee regardless of fluctuations in the set amount of beans and water is realized.

Embodiment 2 Hereinafter, a second embodiment of the present invention will be described with reference to the drawings. 3, the same parts as those in FIG. 1 are denoted by the same reference numerals, and the description thereof will be omitted. The inference means 9 receives the calculation result of the water quantity fitness calculating means 9a and the calculation result of the bean quantity fitness calculating means 9c as inputs and calculates output fitness calculating means 9g for calculating the output of the optimum mill control condition; 9g includes output membership function storage means 9h for storing know-how data of optimal control of the mill motor 7 referred to when performing calculations. Motor control means 13
Is for controlling the rotation of the mill motor 7 under the mill control conditions determined by the inference result of the inference means 9.

The operation of the coffee maker configured as described above will be described with reference to FIGS. 2 (a) and 2 (b) and FIG.

FIG. 2A is a graph showing the degree of conformity of the amount of water with respect to the value detected by the water amount detecting means 4 based on the amount of water in the container 1, and FIG. It is the graph which showed the frequency of the bean amount conformity with respect to the detection value of the bean amount detection means 8.

First, the user puts water in the container 1 and coffee beans in the bean container 2 and starts the extraction operation. In response to the start signal, the inference means 9 measures the amount of beans by the beans amount detection means 8 and inputs the detected value. The bean amount adaptability calculating means 9c makes an inference based on the data shown in FIG. The data in FIG. 8B is stored in advance in the bean amount membership function storage unit 9d, and the bean amount suitability calculating unit 9c calculates and outputs the frequency of the matching water amount with reference to this storage table. Similarly, upon receiving the start signal, energization of the heater 2 is started, and water in the container 1 is supplied to the water intake pipe 3a and the check valve 3b.
Is heated in the communication pipe 3c to generate steam, and circulates from the switching valve 3f to the vessel 1 through the circulation pipe 3d. At this time,
The water amount detecting means 4 detects the water amount from the temperature rising speed of the water in the container 1, and the detected water amount adaptability calculating means 9a makes an inference from the water amount value based on the data shown in FIG. The data of FIG. 9A is stored in advance in the water amount membership function storage means 9b, and the frequency of the water amount is calculated and output with reference to this table.

FIG. 4 is a diagram showing the optimum output values of the rotation speed of the mill at the frequencies of the water amount compatibility and the beans amount compatibility. The output suitability calculating means 9g makes an inference based on the data shown in FIG. 4 from the input numerical values of the amount of beans and the numerical values of the amount of water.
Are stored in advance in the output membership function storage means 9h, and inference is performed by calculating the center of gravity from each input data by referring to this storage table to calculate and output the optimum rotation output value of the mill motor 7. The motor control means 13 controls the output of the mill motor 7 by performing phase control of energization of the mill motor 7 so that the rotation output of the mill motor 7 corresponds to the output value of the inference means 9.
The mill motor 7 starts rotating in response to a signal from the motor control means 13, and the pulverizing mechanism of the mill 6 performs a pulverizing operation, and the pulverized beans are stored in the filter case 11. When the grinding is completed, the mill motor 7 is stopped, the switching valve 3f is switched to the discharge pipe 3e side, and the water heated by the heater 2 is poured into the filter case 11 from the discharge pipe 3e to extract the coffee liquid. At this time, the ground size of the coffee grounds changes depending on the rotation speed of the mill motor 7 that rotates the mill crushing mechanism of the mill 6, and the taste of the coffee liquid extracted is influenced by the ground size. That is, by controlling and changing the power to the mill motor 7, the degree of pulverization of the mill 6 is changed, thereby changing the pulverized particle size of the coffee beans, and the component concentration of the coffee extract, that is, the taste of the coffee is changed. . Here, the water quantity membership function storage means 9b and the bean quantity membership function storage means 9d of the inference means 9 in advance.
By setting in the output membership function storage means 9h, the rotation speed data of the mill motor 7 which provides an optimum extraction taste according to the detection values of the water amount detection means 4 and the beans amount detection means 8, the Even if the amount of beans and the amount of water to be set and the conditions are different, a delicious coffee can always be extracted.

As described above, according to the present embodiment, the water amount detecting means 4, the beans amount detecting means 8, the inference means 9 and the motor control means 13 are provided, whereby the beans amount and the water amount set by the user are provided. It is possible to realize a coffee maker that can always obtain a delicious coffee even if the ratio or the condition of the coffee is different.

Embodiment 3 Hereinafter, a third embodiment of the present invention will be described with reference to the drawings. In FIG. 5, the same parts as those in FIG. 1 are denoted by the same reference numerals, and the description thereof will be omitted. The inference means 9 receives the calculation result of the water-fitness-fitness calculation means 9a and the calculation result of the beans-fitness-fitness calculation means 9c as inputs, and calculates output suitability calculation means 9i for calculating the output of optimal switching valve control conditions. An output membership function storage means 9j for storing data of know-how of optimal control of valve switching referred to when the means 9i performs an operation. The valve control means 14 controls the energization of the electromagnetic solenoid of the switching valve 3f under the valve switching control conditions determined by the inference result of the inference means 9 to control the switching direction of the valve.

The operation of the coffee maker configured as described above will be described with reference to FIGS. 2 (a) and 2 (b) and FIG.

FIG. 2 (a) is a graph showing the degree of conformity of the amount of water with respect to the value detected by the water amount detecting means 4 based on the amount of water in the container 1, and FIG. It is the graph which showed the frequency of the bean amount conformity with respect to the detection value of the bean amount detection means 8 as a reference.

First, the user puts water in the container 1 and coffee beans in the bean container 2 and starts extraction. Upon receiving this start signal, the inference means 9 measures the amount of beans from the bean amount detection means 8 and inputs the detected value. The bean amount suitability calculating means 9c makes an inference based on the data shown in FIG. 2B from the input bean amount value. The data in FIG. 2B is stored in advance in the beans amount membership function storage unit 9d, and the beans amount adaptability calculating unit 9c calculates and outputs the frequency of the amount of water by referring to this storage table. In addition, the mill motor 7 starts rotating in response to the start signal, the crushing mechanism of the mill 6 performs a crushing operation, and the crushed beans are stored in the filter case 11. When the pulverization is completed, the mill motor 7 stops, and then the heater control means starts energizing the heater 2. Similarly, energization of the heater 2 is started, and water in the container 1 is supplied to the intake pipe 3a and the check valve 3b.
Is heated in the communication pipe 3c to generate steam, and circulates from the switching valve 3f to the vessel 1 through the circulation pipe 3d. At this time,
The water amount detecting means 4 detects the water amount based on the temperature rising speed of the water in the container 1, and the detected water amount matching degree calculating means 9a makes an inference based on the data shown in FIG. FIG.
The data of (a) is stored in advance in the water amount membership function storage means 9b, and the frequency of the water amount is calculated and output with reference to this table.

The know-how of deliciousness in coffee extraction lies in a two-stage injection operation at the time of pouring hot water, a pre-extraction of pouring a small amount of hot water, a steaming method of stopping the pouring of hot water and steaming beans. It is necessary to perform a total extraction operation in which the remaining hot water is poured and the entire amount is extracted.

FIG. 6 (a) is a diagram showing the time required for the optimal pre-extraction in the frequency of the water volume conformity and the beans volume compatibility. FIG. 6B is a diagram showing the required time value of the optimal steaming at the frequency of the water amount compatibility and the beans amount compatibility.

The output adaptability calculating means 9i makes inferences based on the data shown in FIGS. 6 (a) and 6 (b) from the input values of the amount of beans and the amount of water, as shown in FIGS. 6 (a) and 6 (b). b)
Are stored in advance in the output membership function storage means 9h, and are inferred by the center of gravity calculation from the respective input data with reference to this storage table to obtain the optimum pre-extraction optimum output time value and the optimum spot time. Calculate and output the value. The valve control means 14 controls the switching of the switching valve 3f according to the output value of the inference means 9, and first switches the discharge on the circulation pipe 3d side to the discharge pipe 3e side to start preliminary extraction. Thereafter, after the elapse of the optimal pre-extraction optimal output time inferred by the output adaptability calculating means 9i, the switching valve 3f is switched to the circulation pipe 3e side to terminate the pre-extraction and start the spotting. Thereafter, after the elapse of the optimum unevenness time inferred by the output adaptability calculating means 9i, the switching valve 3f is switched to the discharge pipe 3f side, the unevenness is ended, and the entire extraction is performed. The remaining hot water is poured from the discharge pipe 3e into the filter case 11, and the coffee liquid is extracted.

As described above, the pre-extraction time, that is, the pre-extraction hot water amount and the spotting time, are changed to the optimal time depending on the set amount of beans and the amount of water, and the taste of the coffee liquid extracted by this operation depends on the right and left. Is done. That is, by controlling and changing the switching of the switching valve 3f, the component concentration of the coffee extract, that is, the taste of the coffee is changed. Here, the water amount membership function storage means 9b, the beans amount membership function storage means 9d and the output membership function storage means 9j of the inference means 9 are stored in advance in accordance with the detection values of the water amount detection means 4 and the beans amount detection means 8. By setting the reference data of inference based on the know-how of the pre-extraction time and the spotting time that gives the optimal extraction taste,
Even if the ratios and conditions of the amount of beans and the amount of water set by the user are different, delicious coffee can always be extracted.

As described above, according to the present embodiment, the water amount detecting means 4, the beans amount detecting means 8, the inference means 9 and the valve control means 14 are provided, whereby the beans amount and the water amount set by the user are provided. It is possible to realize a coffee maker that can always obtain a delicious coffee even if the ratio or the condition of the coffee is different.

[0033]

As described above, the present invention provides a water amount detecting means for detecting the amount of water put in a container for containing water, a bean amount detecting means for detecting the amount of beans put in a container for containing coffee beans, The detection outputs of the water amount detection means and the beans amount detection means are input, and the power supply to the heater is performed according to a preset inference condition.
Inference means for determining force, and energization determined by this inference means
With the configuration including the heater control means for controlling the energization of the heater by electric power , information on the amount of beans and the amount of water set by the user at the time of extracting coffee is detected by the amount of beans detection means and the amount of water detection means. Based on this information, the inference means infers the optimal extraction conditions, and controls the energization of the heater based on the result, whereby coffee can be extracted with the know-how set in the inference means. By setting know-how for extracting coffee deliciously by means, a coffee maker which can always obtain delicious coffee regardless of fluctuations in the set amount of beans and water is realized.

A mill motor for grinding coffee beans
And a water amount detecting means for detecting the amount of water put in the container for containing water, a bean amount detecting means for detecting the amount of beans put in the container for containing coffee beans, and detection of the water amount detecting means and the bean amount detecting means. Inference means for inputting an output and determining the rotation speed of the mill motor according to a preset inference condition; and informing the mill motor by the rotation speed determined by the inference means .
As a configuration including a motor control means for controlling the energization, information on the amount of beans and the amount of water set by the user at the time of coffee extraction is detected by the amount of beans detection means and the amount of water detection means, and inference is performed based on this information. Means to infer the optimal extraction conditions and control the motor based on the results to extract coffee with the granularity of the coffee beans of the know-how set in the inference means, and to set the amount of beans and water This makes it possible to realize a coffee maker that can always obtain delicious coffee irrespective of fluctuations in the temperature.

Further, a water amount detecting means for detecting the amount of water put in the container for containing water, a bean amount detecting means for detecting the amount of beans put in the container for containing coffee beans , and
A switching valve for switching water between the coffee extraction side and the container side,
With the detection outputs of the water amount detection means and the beans amount detection means as inputs, whether the switching valve is the container side according to a preset inference condition.
To the coffee extraction side and then back to the container side again
And the pre-extraction time until
When steaming until switching the replacement valve to the coffee extraction side again
Inference means for determining the interval and the switching valve
After switching to the heat extraction side, the inference means is determined
Until the pre-extraction time has elapsed, switch the switching valve
It is maintained on the extraction side, and when this pre-extraction time has elapsed, the steam
Keep the switching valve on the container side until the cleaning time elapses
After the steaming time has elapsed, the switching valve is turned on again
As a configuration including valve switching means for switching to the extraction side, information on the amount of beans and the amount of water set by the user at the time of coffee extraction is detected by the amount of beans detection means and the amount of water detection means, and inference is performed based on this information. The optimal pre-heating time and steaming time are determined by means, and switching control of the switching valve can be performed based on the result, and a coffee maker that can always obtain delicious coffee regardless of fluctuations in the set amount of beans and water amount It will be realized.

[Brief description of the drawings]

FIG. 1 is a configuration diagram of a coffee maker according to a first embodiment of the present invention.

FIG. 2 is a diagram showing an operation of an inference means of the coffee maker.

FIG. 3 is a configuration diagram of a coffee maker according to a second embodiment of the present invention.

FIG. 4 is a view showing the operation of the inference means of the coffee maker.

FIG. 5 is a configuration diagram of a coffee maker in a third embodiment of the present invention.

FIG. 6 is a view showing the operation of the inference means of the coffee maker.

[Explanation of symbols]

 DESCRIPTION OF SYMBOLS 1 Container 2 Heater 3a Intake pipe 3b Check valve 3c Communication pipe 3d Circulation pipe 3e Discharge pipe 3f Switching valve 4 Water quantity detection means 8 Bean quantity detection means 6 Clocking means 7 Temperature rise counter 9 Inference means 10 Heater control means 13 Motor control means 14 Valve control means

──────────────────────────────────────────────────の Continued on the front page (72) Inventor Shinji Kondo 1006 Kazuma Kadoma, Osaka Prefecture Inside Matsushita Electric Industrial Co., Ltd. (72) Inventor Junichi Nakakugi 1006 Kazuma Kadoma, Kadoma City, Osaka Prefecture Matsushita Electric Industrial Co., Ltd. (56) References JP-A-62-109522 (JP, A) JP-A-57-112826 (JP, A) JP-A-63-111824 (JP, A) JP-A-63-95011 (JP, A) JP-A-63-62023 (JP, U) (58) Fields investigated (Int. Cl. ⁶ , DB name) ) A47J 31/42 A47J 31/56

Claims (3)

(57) [Claims] 1. A water amount detecting means for detecting an amount of water put in a container for storing water, a bean amount detecting means for detecting an amount of beans put in a container for storing coffee beans, the water amount detecting means and the bean amount detection Using the detection output of the means as input, set inference
Inference means for determining the power supplied to the heater according to the conditions;
The power to the heater is determined by the power supplied by the inference means.
A coffee maker equipped with heater control means for controlling electricity . 2. A mill motor for pulverizing coffee beans, water amount detecting means for detecting the amount of water put in a container for containing water, and bean amount detecting means for detecting the amount of beans put in a container for containing coffee beans. The detection outputs of the water amount detection means and the bean amount detection means are input and the above-mentioned detection conditions are set according to a preset inference condition.
Inference means for determining the rotation speed of the mill motor and this inference
Energize the mill motor according to the rotation speed determined by the means.
Coffee maker with a motor control means to control. 3. A water amount detecting means for detecting an amount of water contained in a container for containing water, a bean amount detecting means for detecting an amount of beans contained in a container for containing coffee beans, and water in said container.
A switching valve for switching to the Hi extraction side and the container side, and enter the detection output of the water quantity detecting means and Mameryou detecting means, advance
According to the set inference conditions, the switching valve is
ー After switching to the extraction side,
After the pre-extraction time and the pre-extraction is completed, the switching valve is reset.
Determines steaming time before switching to coffee extraction side
And inference means for the switching valve coffee extract from the container side
After switching to the side, preliminary extraction determined by the inference means
Until the time elapses, the switching valve is placed on the coffee extraction side
When the pre-extraction time elapses, maintain the steaming time
Keep the switching valve on the container side until
After a lapse of time, the switching valve is again moved to the coffee extraction side.
Coffee maker with a valve switching means for switching.