JPH08154839A - Automatic bread baking machine - Google Patents

Abstract

PURPOSE: To provide an automatic bread baking machine capable of making fine parameter adjustment depending on room temperature, without using a room temperature sensor, by determining each process parameter value via the application of a fuzzy inference on the basis of output from a vessel temperature detection means and a baking process. CONSTITUTION: A kneading control means 21 and a heating control means 20 respectively control a motor 14 and a heating means 12, according to temperature detected with a vessel temperature detection means 15 and a time counted with a counting means 22, based on a process saved in a process memory means 17 and process parameter values determined with the first fuzzy inference 23. A baking process is thereby established.

Description

Detailed Description of the Invention

[0001]

BACKGROUND OF THE INVENTION 1. Field of the Invention The present invention relates to an automatic bread maker capable of obtaining a certain degree of baking by finely setting process parameters according to external conditions such as room temperature.

[0002]

2. Description of the Related Art Conventionally, processes are switched depending on room temperature,
Although some efforts were made to use different steps, only the closest one was selected from the several steps, and the same baking was not always obtained at different room temperatures.

Techniques for switching processes depending on the room temperature have already been proposed. The technique is disclosed in, for example, JP-A-02-8.
No. 2916. The technology is shown in Figure 2 below.
7 will be described.

In FIG. 27, 1 is a container for containing bread ingredients, 2 is a heater for heating the vessel 1, 3 is a blade for kneading the bread ingredients, 4 is a motor for rotating the blades, and 5 is a vessel for measuring the temperature of the vessel. Temperature measuring means, 6 is room temperature measuring means for measuring the room temperature, 7 is a bread making process storage means for storing the bread making process, 8 is a bread making process judging means for judging the bread making process, and 9 is a main body. The baking process storage means 7 stores three processes, a low temperature process, an intermediate temperature process, and a high temperature process. As shown in FIG. 28, the low temperature process, the medium temperature process, and the room temperature measured by the room temperature measuring unit 5 and the room temperature measuring unit 6 are performed at a predetermined stage after the start of baking.
The closest bread making process is determined from the three high temperature processes. Therefore, the process can be switched depending on the room temperature.

[0005]

However, in the automatic bread maker having the above structure, the bread making process is only divided into three processes, and it is not possible to realize the optimum process according to the room temperature. There is a problem in that there are variations.

In view of the above problems, the present invention determines each process parameter value using the fuzzy reasoning from the output of the container temperature detecting means and the bread making process, thereby making it possible to finely adjust the parameters according to the room temperature without using the room temperature sensor. A first object is to provide an automatic bread maker that performs adjustment.

A second purpose is to determine each process parameter value from the output of the container temperature detecting means, the output of the room temperature detecting means, and the bread making process by using fuzzy reasoning, thereby making fine adjustment according to the room temperature and the dough temperature. An object of the present invention is to provide an automatic bread maker that accurately adjusts parameters.

A third object is to input a fuzzy reasoning ratio of a container temperature change rate during kneading and a container temperature change rate after kneading, thereby adjusting parameters according to the dough temperature and room temperature without using a room temperature sensor. It is to provide an automatic bread making machine.

A fourth object is to input the fuzzy reasoning ratio of the container temperature change rate in the early stage of kneading and the container temperature change rate in the latter stage of kneading, thereby adjusting the parameters according to the dough temperature and the room temperature without using the room temperature sensor. It is to provide an automatic bread maker that performs before kneading.

A fifth object is to input the container temperature before kneading, the rate of change of the container temperature after the start of kneading and the rate of change of the container temperature after kneading as fuzzy inference inputs, so that the room temperature sensor is not used and the room temperature is not used. Another object is to provide an automatic bread maker that adjusts parameters according to the initial temperature of bread ingredients.

A sixth object is to use the room temperature sensor by inputting the container temperature before kneading, the container temperature change rate, the container temperature change rate during kneading, and the container temperature change rate after kneading as fuzzy inference inputs. An object of the present invention is to provide an automatic bread maker that can adjust parameters according to room temperature and the initial temperature of bread ingredients without using it even during continuous use.

A seventh object is to accurately perform fine parameter adjustment according to room temperature, initial temperature of bread ingredients and dough temperature by inputting the vessel temperature before kneading and the vessel temperature after kneading as inputs for fuzzy reasoning. To provide an automatic bread machine.

An eighth object is to provide an automatic bread maker which corrects the process parameter value from the heating data of the step immediately before each step during the bread making process and copes with the time change of the room temperature without using the room temperature sensor. To provide.

A ninth object is to provide an automatic bread maker that corrects the process parameter value from the room temperature of the step immediately before each step during the bread making process and responds to the time change of the room temperature.

[0015]

[Means for Solving the Problems] A first means for solving the problems of the present invention for achieving the above-mentioned first object is a container for holding bread ingredients, a heating means for heating the vessels, and the bread ingredients. Kneading means for kneading, container temperature detection means for detecting the temperature of the container, step storage means for storing a plurality of different bread making processes for each menu such as bread and french bread, and bread and french bread Menu selection means for selecting a baking menu, heating control means for controlling heating means, kneading control means for controlling kneading means, time measuring means for measuring time, output of the container temperature detecting means, and the menu selection And a fuzzy inference for determining a process parameter value from a bread making menu selected by the means.

A second means for solving the problems of the present invention for achieving the above-mentioned second object is a container for putting bread ingredients, a heating means for heating the vessel, and a kneading means for kneading the bread ingredients. A container temperature detecting means for detecting the temperature of the container, a room temperature detecting means for detecting the room temperature, a process storing means for storing a plurality of different bread making processes for each menu such as bread and French bread, and bread and French Menu selection means for selecting a bread making menu such as bread, heating control means for controlling heating means, kneading control means for controlling kneading means, time measuring means for measuring time, and output of the container temperature detecting means An automatic bread maker having an output of the room temperature detecting means and fuzzy inference for determining a process parameter value from the bread making menu selected by the menu selecting means is also provided. It is.

A third problem solving means of the present invention for attaining the third object is that, in addition to the first problem solving means, fuzzy inference uses a container temperature change rate during kneading by a container temperature detecting means. This is an automatic bread maker that inputs the rate of change in container temperature after kneading and the bread making menu.

A fourth problem solving means of the present invention for attaining the above-mentioned fourth object is that, in addition to the first problem solving means, fuzzy inference uses a container temperature change rate at the initial stage of kneading by a container temperature detecting means. This is an automatic bread maker that inputs the rate of change in container temperature in the latter half of kneading and the bread making menu.

A fifth problem solving means of the present invention for achieving the above fifth object is, in addition to the above first problem solving means, fuzzy reasoning during kneading with a container temperature before kneading by a container temperature detecting means. This is an automatic bread maker which inputs the container temperature change rate, the container temperature change rate after kneading, and the bread making menu.

A sixth problem solving means of the present invention for attaining the sixth object is, in addition to the first problem solving means, fuzzy reasoning based on the container temperature before kneading by the container temperature detecting means and before kneading. The automatic bread maker has the container temperature change rate, the container temperature change rate during kneading, and the bread making menu as inputs.

The seventh problem solving means of the present invention for achieving the above-mentioned seventh object is, in addition to the second problem solving means, fuzzy inference by container temperature detection means before and after kneading. The automatic bread maker uses the container temperature, the room temperature detected by the room temperature detecting means, and the bread making menu as inputs.

The eighth problem solving means of the present invention for achieving the above eighth object is the control content of the heating control means in the previous step before the execution of each step, in addition to the first problem solving means. The automatic bread maker is provided with a parameter value correcting means for correcting the process parameter value.

A ninth problem solving means of the present invention for achieving the ninth object is to obtain process parameter values from the output of the room temperature detecting means before execution of each step in addition to the second problem solving means. The automatic bread maker has a parameter value correcting means for correcting.

[0024]

According to the configuration of the first problem solving means, each process parameter value is determined from the output of the container temperature detecting means and the bread making process by using fuzzy inference. Therefore, it is possible to provide an automatic bread maker that performs fine parameter adjustment according to room temperature without using a room temperature sensor.

According to the configuration of the second problem solving means,
Fuzzy reasoning is used to determine each process parameter value from the output of the container temperature detecting means, the output of the room temperature detecting means, and the bread making process. Therefore, it is possible to provide an automatic bread maker that precisely adjusts fine parameters according to the room temperature and the dough temperature.

According to the configuration of the third problem solving means,
The vessel temperature change rate during kneading and the vessel temperature change rate after kneading are input to fuzzy reasoning. Therefore, it is possible to provide an automatic bread maker that adjusts parameters according to the dough temperature and the room temperature without using the room temperature sensor.

According to the configuration of the above-mentioned fourth problem solving means,
The rate of vessel temperature change in the initial stage of kneading and the rate of vessel temperature change in the latter stage of kneading are used as inputs for fuzzy reasoning. Therefore, it is possible to provide an automatic bread maker that adjusts parameters according to the dough temperature and room temperature before kneading without using the room temperature sensor.

According to the configuration of the above-mentioned fifth problem solving means,
The rate of change in the vessel temperature before kneading, the rate of vessel temperature after the start of kneading, and the rate of change in vessel temperature after kneading can be used as inputs for fuzzy reasoning. Therefore, it is possible to provide an automatic bread maker that adjusts parameters according to the room temperature and the initial temperature of the bread ingredient without using the room temperature sensor.

According to the configuration of the sixth problem solving means,
The fuzzy inference uses the vessel temperature before kneading, the vessel temperature change rate, the vessel temperature change rate during kneading, and the vessel temperature change rate after kneading. Therefore, it is possible to provide an automatic bread maker which can adjust the parameters according to the room temperature and the initial temperature of the bread ingredients even during continuous use without using the room temperature sensor.

According to the configuration of the seventh problem solving means,
The container temperature before kneading and the container temperature after kneading are input to fuzzy reasoning. Therefore, it is possible to provide an automatic bread maker that accurately performs fine parameter adjustment according to the room temperature, the initial temperature of the bread ingredients, and the dough temperature.

According to the configuration of the eighth problem solving means,
While the bread making process is in progress, the control content of the heating control means of the preceding process of each process is confirmed to correct the process parameter value. Therefore, it is possible to provide an automatic bread maker capable of coping with a temporal change in room temperature without using a room temperature sensor.

According to the configuration of the ninth problem solving means,
While the baking process is in progress, the room temperature sensor is used to check the room temperature immediately before each process and the process parameter values are corrected.
Therefore, it is possible to provide an automatic bread maker that accurately responds to changes in room temperature with time.

[0033]

DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS A first embodiment of the present invention will be described with reference to FIGS. First, the overall configuration of this embodiment will be described with reference to FIG. In FIG. 1, 11 is a container for storing bread ingredients, 12 is heating means such as a heater for heating the vessel 11, 13 is a blade for kneading the bread ingredients, 14 is a motor for rotating the blades 13, and 15 is a container temperature. Container temperature detection means, 16 yeast container, 17 process storage means for storing the bread making process of menus such as bread and French bread, 18 menu selection means for selecting a menu such as bread and French bread, 19 Is a main body, 20 is a heating control means for controlling the heating means 12, 21 is a kneading control means for controlling a motor, 22 is a timing means, and 23 is a first fuzzy inference for outputting a process parameter value. In the present embodiment, the process storage means 17, the heating control means 20, the kneading control means 21, the timing means 22, the first fuzzy reasoning 2
3 is realized by a microcomputer.

Next, an outline of the bread making operation of the automatic bread making machine of this embodiment will be described with reference to FIGS. 1 and 2. The user puts bread mix, which is a bread ingredient, and water in the container 11, puts yeast in the yeast container 16, and selects the menu selection means 1
Select the menu of bread, French bread, etc. by 8.
A switch (not shown) is turned on to start the bread making operation. The bread-making process consists of the kneading, fermentation and baking processes shown in FIG. First, the kneading control means 21 operates the motor 14 to rotate the blades 13 to mix the pan mix and water to perform pre-kneading. The kneading operation is not performed during the training.
After the seeding, the yeast in the yeast container 16 is charged and the main kneading is performed. The yeast can be charged, for example, by opening the bottom of the container with a solenoid. After the main kneading, the heating control means 20 controls the heating means 12 to maintain the fermentation temperature and ferment the bread dough. Fermentation is primary fermentation, secondary fermentation, tertiary fermentation,
It consists of orthopedic fermentation, and there is a degassing process that moves the blades 13 a little during each fermentation. After shaping and fermentation, the bread is completed through a baking process in which it is baked at a high temperature. The temperature and time of each step, the strength of rotation of the blade 13, and the like are process parameters, and the first fuzzy reasoning 23 determines the process parameter according to the menu from the output of the container temperature detecting means 15 during the kneading step depending on the room temperature. Set the value to Kneading control means 21
And the heating control means 20 is based on the process stored in the process storage means 17 and the process parameters determined by the first fuzzy inference 23.
The process is realized by controlling the motor 14 and the heating means 12, respectively, according to the temperature according to 1 and the time according to the time measuring means 22.

A specific configuration of the first fuzzy inference 23 will be described with reference to FIGS. FIG. 3A is a diagram showing detection data of the container temperature detection means 15 during the kneading process,
Temperature change of dt1 hour before kneading is dT1
The temperature change for 2 hours is dT2. The time measuring means 22 is used to measure the time such as dt1 and dt2. dT1, dT2
Depends on the room temperature, and is influenced by the rotation torque of the blades 13 and the temperature of the dough during the kneading process. The rotation torque of the blades 13 is different for each bread maker, but by using two of dT1 and dT2, it is possible to remove the influence of the rotation torque and use it as a factor representing room temperature. The fermentation condition of bread changes depending on the temperature of the dough. If the fermentation temperature can be kept constant, the same fermentation state dough can be obtained in a predetermined fermentation time, but the room temperature may exceed the fermentation temperature of bread, in which case the fermentation time needs to be changed according to the room temperature. There is. Further, even if the room temperature is low, if the temperature range raised by heating is large, problems such as the dough becoming dry and unevenness occur, so it is necessary to change the fermentation temperature and the fermentation time depending on the room temperature. FIG. 3B is a diagram showing the configuration of the first fuzzy reasoning 23. As shown in the figure, the first fuzzy reasoning 23 is dT.
It is a fuzzy inference in which 1, dT2 and a menu are input and process parameters are output. FIG. 4 shows the rule of the first fuzzy inference 23. The inference rule is "If the menu is bread and dT1 is small and dT2 is small, the parameter is
= A1 ”and 18 rules shown in FIG. A1 to A18 in FIG. 4 are sets of real numbers representing the values of the process parameters. For example, A1 = {a1, b1, c1, d
1． ． ． }, A1, b1 etc. are post-kneading strength, primary fermentation temperature, secondary fermentation temperature, tertiary fermentation temperature, shaping fermentation temperature, primary fermentation time, secondary fermentation time, tertiary fermentation time, shaping fermentation time, Is the value of a process parameter such as degassing strength,
In this way, by having a set of real numbers in the consequent part of fuzzy reasoning, the rules for these process parameters are collectively expressed. The qualitative concept that dT1 is “small” is quantitatively expressed by the membership function shown in FIG.

As described above, according to this embodiment, each process parameter value is determined from the output of the container temperature detecting means and the bread making process by using fuzzy reasoning, so that a fine adjustment according to the room temperature can be performed without using the room temperature sensor. It is possible to provide an automatic bread machine that adjusts parameters,
To provide an automatic bread maker that adjusts parameters according to dough temperature and room temperature without using a room temperature sensor by inputting the rate of change in container temperature during kneading and the rate of container temperature change after kneading without using a room temperature sensor. You can

In this embodiment, as an example of fuzzy inference, the antecedent part triangular type, the antecedent part real value type, and the consequent part real value type fuzzy inference are used. Can also be considered. Further, although the temperature change rate within the predetermined time is used as the temperature change rate, a method of using the time required for changing the predetermined temperature may be considered.

A second embodiment of the present invention will be described with reference to FIGS. 6 to 9. First, the overall configuration of this embodiment will be described with reference to FIG. In FIG. 6, reference numeral 24 is a second fuzzy inference that outputs a process parameter value. In this embodiment, the second fuzzy inference 24 is realized by a microcomputer. Other components having the same functions as those in the first embodiment have the same numbers. The operation of this embodiment is almost the same as that of the first embodiment except that the second fuzzy inference 24 determines the process parameters.

A specific configuration of the second fuzzy inference 24 will be described with reference to FIGS. 7 to 9. FIG. 7A is a diagram showing detection data of the container temperature detection means 15 during the kneading process,
The temperature change during dt3 hours in the early stage of pre-kneading is referred to as dT3, and the temperature change during dt4 hours in the latter stage of pre-kneading is referred to as dT4. dt3, d
The time measuring means 22 is used to measure time such as t4. dT
3 and dT4 depend on the room temperature, and are also influenced by the rotation torque of the blades 13 and the temperature of the dough in the kneading process. The rotation torque of the blades 13 is different for each bread maker, but dT
By using 2 of 3 and dT4, the effect of the rotation torque can be removed and it can be used as a factor representing the room temperature, and since the process parameter can be determined during the pre-kneading step, the process parameter of the beating step is also changed according to the room temperature. You can The soaking process is a process of lowering the dough temperature raised by the pre-kneading, and the required time varies depending on the room temperature. FIG. 7B is a diagram showing the configuration of the second fuzzy reasoning 24. As shown in the figure, the second fuzzy reasoning 24 is d.
It is a fuzzy inference in which T3, dT4, and menu are input and process parameters are output. FIG. 8 shows the rule of the second fuzzy inference 24. The inference rule is composed of 18 rules shown in FIG. 8 such as "If menu is bread, dT3 is small, and dT4 is small, parameter = B1". B1 to B18 in FIG. 8 are a set of real values representing the values of each process parameter. For example, B1 = {a2, b2, c2, d
2. ． ． }, A2, b2 etc. spattering time, post-kneading strength, primary fermentation temperature, secondary fermentation temperature, tertiary fermentation temperature, shaping fermentation temperature,
It is the value of process parameters such as primary fermentation time, secondary fermentation time, tertiary fermentation time, shaping fermentation time, degassing strength, and thus has a set of real numbers in the consequent part of fuzzy reasoning. Describes the rules for these process parameters together. The qualitative concept that dT3 is “small” is quantitatively expressed by the membership function shown in FIG.

As described above, according to the present embodiment, each process parameter value is determined from the output of the container temperature detecting means and the bread making process by using fuzzy reasoning, so that a fine adjustment according to the room temperature can be performed without using the room temperature sensor. It is possible to provide an automatic bread machine that adjusts parameters,
By inputting the rate of change in container temperature in the initial stage of kneading and the rate of change in container temperature in the latter stage of kneading as fuzzy inference, an automatic bread machine that adjusts parameters according to the dough temperature and room temperature before the end of kneading without using a room temperature sensor Can be provided.

In this embodiment, as an example of the fuzzy inference, the antecedent part triangular type, the antecedent part real value type, and the consequent part real value type fuzzy inference are used. Can also be considered. Further, although the temperature change rate within the predetermined time is used as the temperature change rate, a method of using the time required for changing the predetermined temperature may be considered.

The third embodiment of the present invention is shown in FIGS.
This will be described below. First, the overall configuration of this embodiment will be described with reference to FIG. In FIG. 10, 25 is a third fuzzy inference that outputs the process parameter value.
In this embodiment, the third fuzzy inference 25 is realized by a microcomputer. Other components having the same functions as those in the first embodiment have the same numbers. The operation of this embodiment is almost the same as that of the first embodiment except that the third fuzzy inference 25 determines the process parameter.

A concrete configuration of the third fuzzy reasoning 25 will be described with reference to FIGS. 11 to 13. FIG. 11A is a diagram showing detection data of the container temperature detecting means 15 during the kneading process, in which the temperature before the pre-kneading is T5, the temperature change during the dt6 hours before the pre-kneading is dT6, and the temperature change during the dt7 hours during the kneading is DT
7 The time measurement of dt6 and dt7 is performed using the time measuring means 22. T5 represents the temperature of the bread material before kneading. dT
6 and dt7 are factors representing room temperature as shown in the first embodiment. Therefore, by inputting T5, dT6, and dT7, it is possible to set process parameters according to room temperature and material temperature. Since the condition of the bread dough depends on the temperature of the bread ingredients such as water and flour, it is possible to further reduce the variation of the finished bread by changing the process parameters depending on the temperature of the bread ingredients and the room temperature. FIG.
1 (b) is a diagram showing the configuration of the third fuzzy reasoning 25,
As shown in the figure, the third fuzzy reasoning 25 is T5, dT
6, dT7, is a fuzzy inference that inputs a menu and outputs a process parameter. FIG. 12 shows the rule of the third fuzzy inference 25. The inference rule consists of 16 rules shown in FIG. 12, such as "If the menu is bread, T5 is low, dT6 is small, and dT7 is small, the parameter is C1". C1 to C16 in FIG. 12 are a set of real values representing the values of each process parameter. For example C1
= {A3, b3, c3, d3. ． ． }, A3, b3, etc. are post kneading strength, 1
It is the value of process parameters such as secondary fermentation temperature, secondary fermentation temperature, tertiary fermentation temperature, shaping fermentation temperature, primary fermentation time, secondary fermentation time, tertiary fermentation time, shaping fermentation time, degassing strength. , By having a set of real numbers in the consequent part of fuzzy inference, the rules for these process parameters are collectively expressed. The qualitative concept that dT6 is “small” is quantitatively expressed by the membership function shown in FIG.

As described above, according to the present embodiment, each process parameter value is determined from the output of the container temperature detecting means and the bread making process by using fuzzy inference, so that a fine adjustment according to the room temperature can be performed without using the room temperature sensor. It is possible to provide an automatic bread machine that adjusts parameters,
By inputting the rate of change of the container temperature before kneading, the temperature of the container temperature after the start of kneading, and the rate of change of the container temperature after kneading as fuzzy inference, the room temperature and the initial temperature of the bread ingredients were measured without using the room temperature sensor An automatic bread machine that adjusts parameters can be provided.

In this embodiment, as an example of fuzzy inference, the antecedent part triangular type, the antecedent part real value type, and the consequent part real value type fuzzy inference are used. Can also be considered. Further, although the temperature change rate within the predetermined time is used as the temperature change rate, a method of using the time required for changing the predetermined temperature may be considered.

The fourth embodiment of the present invention is shown in FIGS. 14 to 20.
This will be described below. First, the overall configuration of this embodiment will be described with reference to FIG. In FIG. 14, 26 is a fourth fuzzy inference that outputs a process parameter value, and 27 is a first correction means that corrects the secondary fermentation temperature and time.
In this embodiment, the fourth fuzzy inference 26 and the first correction means 27 are realized by a microcomputer. Other components having the same functions as those in the first embodiment have the same numbers. The bread making operation of this embodiment is substantially the same as that of the first embodiment except that the fourth fuzzy inference 26 determines the process parameters and the first correction means operates before the secondary fermentation process. is there.

A concrete structure of the fourth fuzzy inference 26 will be described with reference to FIGS. FIG. 15A is a diagram showing the detection data of the container temperature detecting means 15 during the kneading step, in which the temperature before pre-kneading is T8, the temperature change during dt9 hours before pre-kneading is dT9, and the time before dt10 hours before kneading. The temperature change is dT10, and the temperature change during the dt11 time of healing is dT11.
And The time measurement of dt9, dt10, and dt11 is performed using the time measuring means 22. T8 generally represents the temperature of the bread material before kneading, but when baking is performed several times in succession,
After the second time, the temperature of the container 11 and the main body 19 is high, and T8 is not the bread material temperature. In this case, the temperature is high and the temperature decreases before kneading. When not continuously used, the temperature does not change before kneading. Therefore, the continuous use can be discriminated by observing the temperature change before the pre-kneading, and the continuous use can be performed without any problem. FIG. 15B is a diagram showing the configuration of the fourth fuzzy inference 26. As shown in the figure, the fourth fuzzy inference 26 is T8, dT9, dT10, dT1.
1. Fuzzy inference with a menu as input and process parameters as output. FIG. 16 shows the rule of the fourth fuzzy inference 26. The inference rule is that "menu is bread, T8 is low, dT9 is small, dT10 is small,
If dT11 is small, the parameter is D1 ". From D1 in Figure 16
D32 is a set of real numbers representing the value of each process parameter. For example, D1 = {a4, b4, c4, d4. ． ． }, A4, b4, etc. are post kneading strength, primary fermentation temperature, secondary fermentation temperature, tertiary fermentation temperature,
It is the value of process parameters such as shaping fermentation temperature, primary fermentation time, secondary fermentation time, tertiary fermentation time, shaping fermentation time, degassing strength. In this way, the set of real values is the consequent of fuzzy reasoning. By having them in the department, the rules for these process parameters are collectively expressed. dT9
The qualitative concept that "is small" is quantitatively expressed by the membership function shown in FIG.

Next, the first correcting means will be described with reference to FIGS. 18 to 20. FIG. 18A is a conceptual diagram showing a temperature change from the start of bread making to the second fermentation. FIG.
(B) and (c) are diagrams showing the power required to maintain a predetermined temperature in the primary fermentation, and (b) shows a case where the room temperature is low,
(C) represents the case where the room temperature is high. As can be seen from the figure, when the room temperature is high, less power is required to maintain the same temperature as when the room temperature is low. The first correction means is the integrated P of the time when the heating control means 20 turns on the power of the heating means 12 during the primary fermentation process and the secondary fermentation temperature Th2 which is the output of the fourth fuzzy reasoning, and the secondary fermentation time th2. Is input to output a constant K that changes the value by multiplying Th2 and th2. In other words, the corrected secondary fermentation temperature is K × Th2, 2
The next fermentation time is K × th2. In this embodiment, the first correction means 27 is composed of fuzzy inference.
The inference rule is composed of eight rules shown in FIG. 19, such as “If P is large, Th2 is low, and th2 is short, K = K5”. A qualitative concept such as “P is large” is quantitatively expressed by the membership function shown in FIG.

As described above, according to the present embodiment, each process parameter value is determined from the output of the container temperature detecting means and the bread making process by using fuzzy reasoning, so that a fine adjustment according to the room temperature can be performed without using the room temperature sensor. It is possible to provide an automatic bread machine that adjusts parameters,
By inputting the fuzzy inference with the container temperature before kneading, the container temperature change rate, the container temperature change rate during kneading, and the container temperature change rate after the start of kneading, the room temperature and bread material can be used without using the room temperature sensor. It is possible to provide an automatic bread maker capable of adjusting parameters according to the initial temperature of the even in continuous use. Further, while the bread making process is in progress, the control content of the heating control means in the preceding process of each process is confirmed to correct the process parameter value. Therefore, it is possible to provide an automatic bread maker capable of coping with a temporal change in room temperature without using a room temperature sensor.

In this embodiment, the example in which the process parameter of the secondary fermentation is corrected from the data of the primary fermentation is shown, but the process parameter of the tertiary fermentation is similarly corrected from the data of the secondary fermentation. It is also possible to correct the process parameters of the orthopedic fermentation from the data of the third fermentation.

Further, in this embodiment, as an example of fuzzy inference, the antecedent part triangular type, the antecedent part real value type, and the consequent part real value type fuzzy inference are used. Can also be considered. Further, although the temperature change rate within the predetermined time is used as the temperature change rate, a method of using the time required for changing the predetermined temperature may be considered.

21 to 24 of the fifth embodiment of the present invention.
This will be described below. First, the overall configuration of this embodiment will be described with reference to FIG. In FIG. 21, 28 is a fifth fuzzy inference that outputs a process parameter value, 29 is a room temperature detecting means such as a thermistor that detects a room temperature, and 30 is 2
It is a second correction means for correcting the secondary fermentation temperature and time. Is. In this embodiment, the fifth fuzzy inference 27 is realized by a microcomputer. Other components having the same functions as those in the first embodiment have the same numbers. In the bread making operation of this embodiment, the fifth fuzzy inference 28 determines the process parameters, and the second correction means operates before the secondary fermentation step. Is almost the same as.

A concrete configuration of the fifth fuzzy inference 28 will be described with reference to FIGS. 22 to 24. FIG. 22 (a) is a diagram showing the detection data of the container temperature detecting means 15 during the kneading step, where the temperature before pre-kneading is T12 and the temperature after pre-kneading is T1.
3. Let Ta be the room temperature detected by the room temperature detecting means 29. T12
Represents the temperature of the bread material before kneading, and T13 represents the temperature of the dough after the temperature rise due to the kneading. FIG. 22B is a diagram showing the configuration of the fifth fuzzy inference 28. As shown in the figure, the fifth fuzzy inference 28 is a fuzzy inference in which T12, T13, Ta, and menus are input and process parameters are output. is there. FIG. 23 shows the rule of the fifth fuzzy inference 28. The inference rule consists of 16 rules shown in FIG. 23, such as "If the menu is bread, T12 is low, T13 is low, and Ta is low, the parameter is E1". E1 to E16 in FIG. 23 are sets of real numbers representing the values of each process parameter. For example, E1 = {a5, b5, c5, d
Five. ． ． }, A5, b5, etc. are primary fermentation temperature, secondary fermentation temperature,
It is the value of the process parameters such as the third fermentation temperature, the shaping fermentation temperature, the first fermentation time, the second fermentation time, the third fermentation time, the shaping fermentation time, and the degassing strength. By having it in the consequent part of fuzzy inference, the rules for these process parameters are collectively expressed. The qualitative concept that T12 is "low" is shown in Fig. 2.
It is quantitatively expressed by the membership function shown in FIG.

Next, the second correction means will be described with reference to FIGS. 25 to 26. The second correcting means is the output Ta2 of the room temperature detecting means 29 and the secondary fermentation temperature Th2 which is the output of the fifth fuzzy inference before the secondary fermentation step and the secondary fermentation time th.
Input 2 and multiply Th2 and th2 to output a constant L that changes the value. In other words, the corrected secondary fermentation temperature is L ×
The Th2 second fermentation time is L × th2.
Since the factors that determine the process parameters of the fermentation process are room temperature, the dough temperature at the end of the kneading process, and the temperature of the bread-making material, the parameters can be corrected based on these factors with this configuration. In the present embodiment, the second correction means 30 is composed of fuzzy inference. The inference rule is "Ta2 is high,
If Th2 is low and th2 is short, L = L5. ""Ta2
A qualitative concept such as "is high" is quantitatively expressed by the membership function shown in FIG.

As described above, according to the present embodiment, fuzzy reasoning is used to determine the respective process parameter values from the output of the container temperature detecting means, the output of the room temperature detecting means, and the bread making process. It is possible to provide an automatic bread maker that precisely adjusts the parameters according to the conditions, and at the same time, input the temperature of the container before kneading and the temperature after kneading to the fuzzy inference to determine the room temperature and the initial temperature of the bread ingredients. It is possible to provide an automatic bread maker that precisely adjusts fine parameters according to the dough temperature. Further, while the bread making process is in progress, the room temperature sensor is used to further confirm the room temperature immediately before each process and the process parameter value is corrected to provide an automatic bread making machine that accurately responds to the time change of the room temperature. .

Although the example of correcting the process parameter of the secondary fermentation is shown in this embodiment, the process parameter of the tertiary fermentation, the process parameter of the shaped fermentation, and the process parameter of the baking step may be corrected in the same manner. It is possible.

The fifth fuzzy inference has shown the example in which all the process parameters after the kneading process are output at the end of the kneading process, but only the necessary parameters can be output immediately before each process.

Further, in this embodiment, as an example of fuzzy inference, the antecedent part triangular type, the antecedent part real value type, and the consequent part real value type fuzzy inference are used. Can also be considered. Further, although the temperature change rate within the predetermined time is used as the temperature change rate, a method of using the time required for changing the predetermined temperature may be considered.

[0059]

As is apparent from the above description of the embodiments,
According to the first problem solving means, each process parameter value is determined from the output of the container temperature detection means and the bread making process by using fuzzy reasoning, so that fine parameter adjustment according to the room temperature is performed without using the room temperature sensor. It is possible to provide an automatic bread maker that performs the above.

According to the second means for solving problems, the room temperature and the dough temperature are determined by using fuzzy reasoning from the output of the container temperature detecting means, the output of the room temperature detecting means and the bread making process. It is possible to provide an automatic bread maker that accurately performs fine parameter adjustment according to the above.

According to the third means for solving the problems, the rate of change in container temperature during kneading and the rate of change in container temperature after kneading are input to the fuzzy inference, so that the dough temperature and the room temperature can be measured without using the room temperature sensor. It is possible to provide an automatic bread maker that adjusts the parameters.

According to the fourth problem solving means, the container temperature change rate in the initial stage of kneading and the container temperature change rate in the latter stage of kneading are input to the fuzzy inference, so that the dough temperature and the room temperature can be measured without using the room temperature sensor. It is possible to provide an automatic bread maker that adjusts the parameters before kneading.

According to the fifth means for solving the problems, the room temperature sensor is used by inputting the rate of change of the container temperature before kneading, the rate of container temperature after the start of kneading, and the rate of change of container temperature after kneading, as fuzzy inference. Instead, it is possible to provide an automatic bread maker that adjusts parameters according to room temperature and the initial temperature of bread ingredients.

According to the sixth problem solving means, the container temperature before kneading, the container temperature change rate, the container temperature change rate during kneading, and the container temperature change rate after kneading are input to the fuzzy inference. It is possible to provide an automatic bread maker that can adjust parameters according to the room temperature and the initial temperature of bread ingredients even during continuous use without using a room temperature sensor.

According to the seventh problem-solving means, the container temperature before kneading and the container temperature after kneading are input to the fuzzy inference, whereby fine parameter adjustment is performed according to the room temperature, the initial temperature of the bread material and the dough temperature. It is possible to provide an automatic bread maker that performs the baking accurately.

According to the eighth problem solving means, while the bread making process is in progress, the process parameter value is corrected from the heating data of the process immediately before each process, and the automatic change of the room temperature is performed without using the room temperature sensor. A bread maker can be provided.

According to the ninth problem solving means, it is possible to provide an automatic bread maker which corrects the process parameter value from the room temperature of the step immediately before each step during the bread making process and responds to the time change of the room temperature. You can

[Brief description of drawings]

FIG. 1 is a block diagram of an automatic bread maker showing a first embodiment of the present invention.

[Fig. 2] Process diagram of the automatic bread machine

FIG. 3 is a configuration diagram of fuzzy inference showing the first embodiment of the present invention.

FIG. 4 is a diagram showing rules for the fuzzy inference.

FIG. 5 is a diagram showing a membership function of the same fuzzy inference.

FIG. 6 is a block diagram of an automatic bread machine showing a second embodiment of the present invention.

FIG. 7 is a block diagram of fuzzy reasoning showing a second embodiment of the present invention.

FIG. 8 is a diagram showing the same fuzzy inference rules.

FIG. 9 is a diagram showing a membership function of the same fuzzy inference.

FIG. 10 is a block diagram of an automatic bread machine showing a third embodiment of the present invention.

FIG. 11 is a configuration diagram of fuzzy reasoning showing a third embodiment of the present invention.

FIG. 12 is a diagram showing rules of the fuzzy inference.

FIG. 13 is a diagram showing a membership function of the same fuzzy inference.

FIG. 14 is a block diagram of an automatic bread maker showing a fourth embodiment of the present invention.

FIG. 15 is a configuration diagram of fuzzy reasoning showing a fourth embodiment of the present invention.

FIG. 16 is a diagram showing rules of the fuzzy inference.

FIG. 17 is a diagram showing a membership function of the same fuzzy inference.

FIG. 18 is a block diagram of a first correction means showing a fourth embodiment of the present invention.

FIG. 19 is a diagram showing a rule of the first correction means.

FIG. 20 is a diagram showing a membership function of the first correcting means.

FIG. 21 is a block diagram of an automatic bread maker showing a fifth embodiment of the present invention.

FIG. 22 is a configuration diagram of fuzzy reasoning showing a fifth embodiment of the present invention.

FIG. 23 is a diagram showing rules for the fuzzy inference.

FIG. 24 is a diagram showing a membership function of the same fuzzy inference.

FIG. 25 is a diagram showing a rule of a first correcting means showing a fifth embodiment of the present invention.

FIG. 26 is a diagram showing a membership function of the first correcting means.

FIG. 27 is a block diagram of a cooking device showing a conventional example.

FIG. 28 is a room temperature correction diagram of a cooking device showing a conventional example.

[Explanation of symbols]

 11 Container 12 Heating Means 13 Blades 14 Motor 15 Container Temperature Detecting Means 17 Process Storage Means 18 Menu Selecting Means 20 Heating Control Means 21 Kneading Control Means 22 Timing Means 23 First Fuzzy Reasoning 24 Second Fuzzy Reasoning 25 Third Fuzzy Inference 26 Fourth Fuzzy Inference 27 First Correction Means 28 Fifth Fuzzy Inference 29 Room Temperature Detection Means 30 Second Correction Means

 ─────────────────────────────────────────────────── ─── Continuation of the front page (72) Inventor Akihisa Nakano 1006 Kadoma, Kadoma City, Osaka Prefecture Matsushita Electric Industrial Co., Ltd. (72) Ikuko Tanaka, 1006 Kadoma, Kadoma City, Osaka Matsushita Electric Industrial Co., Ltd.

Claims (9)

[Claims] 1. A container for containing bread ingredients, a heating means for heating the vessel, a kneading means for kneading the bread ingredients, a container temperature detecting means for detecting the temperature of the vessel, and a bread, a French bread or the like. Process storage means for storing a plurality of different bread making processes for each menu, menu selection means for selecting a bread making menu such as bread or French bread, heating control means for controlling the heating means, and kneading means are controlled Automatic bread making machine having kneading control means for controlling, time measuring means for measuring time, fuzzy inference for determining process parameter value from the bread making menu selected by the output of the container temperature detecting means and the menu selecting means . 2. A container for holding bread ingredients, a heating means for heating the vessel, a kneading means for kneading the bread ingredients, a container temperature detecting means for detecting the temperature of the container, and a room temperature detecting for detecting room temperature. Means, a process storage means for storing a plurality of different bread making processes for each menu such as bread and french bread, a menu selection means for selecting a bread making menu such as bread and french bread, and a heating means From heating control means, kneading control means for controlling the kneading means, timing means for measuring time, output of the container temperature detecting means, output of the room temperature detecting means, and the bread making menu selected by the menu selecting means. An automatic bread maker with fuzzy inference to determine process parameter values. 3. The automatic bread maker according to claim 1, wherein the fuzzy reasoning inputs the container temperature change rate during kneading by the container temperature detection means, the container temperature change rate after kneading, and the bread making menu. 4. The automatic bread maker according to claim 1, wherein the fuzzy reasoning inputs the container temperature change rate at the initial stage of kneading by the container temperature detection means, the container temperature change rate at the latter stage of kneading, and the bread making menu. 5. The fuzzy inference uses the container temperature before kneading by the container temperature detection means, the container temperature change rate during kneading, the container temperature change rate after kneading, and the bread making menu as inputs.
The automatic bread machine described. 6. The fuzzy inference uses the container temperature before kneading by the container temperature detecting means, the container temperature change rate before kneading, the container temperature change rate during kneading, the container temperature change rate after kneading, and the bread making menu as inputs. The automatic bread machine according to claim 1. 7. The automatic bread maker according to claim 2, wherein the fuzzy reasoning inputs the container temperature before kneading by the container temperature detecting means, the container temperature after kneading, the room temperature by the room temperature detecting means, and the bread making menu. 8. The automatic bread maker according to claim 1, further comprising parameter value correcting means for correcting the process parameter value from the control contents of the heating control means in the previous step before the execution of each step. 9. The automatic bread maker according to claim 2, further comprising parameter value correcting means for determining a process parameter value from the output of the room temperature detecting means before the execution of each step.