JP2023155769A - Cooking system, cooking apparatus, cooking apparatus control method and program - Google Patents

Abstract

To provide a cooking system which can enhance the convenience of a user, a cooking apparatus, a cooking apparatus control method and a program.SOLUTION: A cooking system comprises: a cooking apparatus 1; a cooking setting estimation part 118 for estimating a set fire force and a kind of a heating part 11 every time a preset control update period arrives after the start of cooking, by using a set fire force of the heating part 11 in a period after the start of cooking up to a control update period, a set fire force of the heating part 11 in a period after the transition of the kind of the heat part 11 to be used up to a succeedingly-arriving control update period, and a cooking setting estimation model for estimating the kind of the heating part 11 to be used; a heating control part 113 for controlling the heating part 11 on the basis of the estimated set fire force and the kind of the heating part 11 to be used; and a model creation part 116 for creating cooking setting estimation model information indicating a cooking setting estimation model on the basis of cooking history information including the past set force after the start of the cooking up to a finish of the cooking, and a history of the transition of the kind of the heating part 11 to be used.SELECTED DRAWING: Figure 3

Description

The present disclosure relates to a cooking system, a cooking appliance, a cooking appliance control method, and a program.

Multiple pieces of operation information related to multiple operations received by the device are stored in an operation information database in association with an instruction text, and when an instruction text is input, multiple pieces of operation information associated with the input instruction text are stored in an operation information database. A system has been proposed that extracts a portion of the operation information, generates a control command for executing the extracted operation information, and sends it to a device (for example, see Patent Document 1). For example, when cooking curry with an IH cooking heater, the operation information indicating the operation level and operation duration can be stored in the operation information database in advance in association with the instruction "simmer the curry". When the instruction sentence ``simmer the rice'' is input, the IH cooking heater operates at the operation level and operation duration indicated by the operation information associated with the instruction sentence.

Japanese Patent Application Publication No. 2020-187689

By the way, in the system described in Patent Document 1, since the user of the device needs to set the details of the operation information in advance, there is a possibility that the user may find the work of setting the operation information to be troublesome. Therefore, there is a need to improve user convenience by simplifying the user's operation information setting work.

The present disclosure has been made in view of the above reasons, and aims to provide a cooking system, a cooking appliance, a cooking appliance control method, and a program that can improve user convenience.

In order to achieve the above object, the cooking system according to the present disclosure includes:
A cooking device having a heating section that heats an object to be cooked;
After the start of cooking, each time a control update time for updating the preset control content of the heating section arrives, when heating the object to be cooked by the heating section between the start of cooking and the control update time. a cooking setting estimating unit that estimates the cooking settings using a cooking setting estimation model that estimates the cooking settings from the transition of the cooking settings including the set heat power until the next control update time;
a heating control unit that controls the heating unit based on the estimated cooking settings;
a model generation unit that generates cooking setting estimation model information indicating the cooking setting estimation model based on cooking history information including a history of changes in the cooking settings from the start of cooking to the end of cooking in the past;
Equipped with

According to the present disclosure, the model generation unit generates cooking setting estimation model information indicating the above-mentioned cooking setting estimation model based on cooking history information including a history of changes in cooking settings from the start of cooking to the end of cooking in the past. After the start of cooking, the cooking setting estimator uses the cooking setting estimation model every time the control update time arrives, and calculates the next coming cooking setting based on the transition of the cooking settings from the start of cooking until the control update time. The cooking settings are estimated until the control update timing. Then, the heating control section 113 controls the heating section based on the estimated cooking settings. This allows the user to cook the object according to the cooking settings used when cooking the object in the past, without the user having to set the cooking settings for each time period from the start of cooking until the end of cooking. This makes it possible to improve convenience for users.

Schematic configuration diagram of a cooking system according to Embodiment 1 of the present disclosure Block diagram showing the hardware configuration of the cooking system according to Embodiment 1 Block diagram showing the functional configuration of a cloud server and cooking appliance according to Embodiment 1 (A) is a diagram illustrating an example of information stored in the heating setting storage unit according to Embodiment 1, and (B) is a diagram illustrating an example of information stored in the temperature storage unit according to Embodiment 1. Diagram for explaining the cooking setting estimation model according to Embodiment 1 A diagram illustrating an example of information stored in the history storage unit according to Embodiment 1. Block diagram showing the functional configuration of a terminal device according to Embodiment 1 Sequence diagram showing the operation of the cooking system according to Embodiment 1 Sequence diagram showing the operation of the cooking system according to Embodiment 1 (A) is a diagram showing an example of a part of the operation screen image displayed on the display unit of the terminal device according to Embodiment 1, and (B) is a diagram showing an example of a part of the operation screen image displayed on the display unit of the terminal device according to Embodiment 1. Diagram showing another example of part of the operation screen image Sequence diagram showing the operation of the cooking system according to Embodiment 1 Flowchart showing an example of the flow of cooking history transmission processing executed by the cloud server according to Embodiment 1 Flowchart showing an example of the flow of cooking appliance control processing executed by the cooking appliance control unit according to Embodiment 1 Flowchart showing an example of the flow of cooking appliance control processing executed by the cooking appliance control unit according to Embodiment 1 Flowchart showing an example of the flow of cooking setting estimation model registration processing executed by the terminal device according to Embodiment 1 A block diagram showing the functional configuration of a cloud server and a cooking appliance according to Embodiment 2 of the present disclosure Sequence diagram showing the operation of the cooking system according to Embodiment 2 Flowchart showing an example of the flow of model transmission processing executed by the cloud server according to Embodiment 2 Schematic configuration diagram of a cooking system according to a modified example Sequence diagram showing the operation of the cooking system according to the modified example (A) is a diagram showing an example of information stored in the heating setting storage unit according to the modification, and (B) is a diagram showing an example of information stored in the temperature storage unit according to the modification.

(Embodiment 1)
Hereinafter, a cooking system according to an embodiment of the present disclosure will be described with reference to the drawings. The cooking system according to the present embodiment includes a cooking device having a heating section that heats an object to be cooked, and a cooking device that has a heating section that heats an object to be cooked. A cooking setting estimation model that estimates cooking settings from the transition of cooking settings, including the set heat power when heating the object to be cooked by the heating unit, from the start to the control update time, to the next control update time. and a heating control section that controls a heating section based on the estimated cooking settings.

The cooking system according to the present embodiment includes a cooking appliance 1, a cloud server 2, a terminal device 5, and a voice input device 7, as shown in FIG. Further, the cooking appliance 1, the terminal device 5, and the voice input device 7 are connected to the local network NW2. The local network NW2 is, for example, a wired LAN (Local Area Network) or a wireless LAN, and is connected to the wide area network NW1 via a router 82 and a data line termination device 81. The data line termination device 81 is a modem, a gateway, or the like.

As shown in FIG. 2, the cooking appliance 1 includes a control unit 100, a heating section 11, a heating drive section 12, an operation section 17, and a temperature sensor 18. There are multiple types of heating units 11, such as an IH heating unit, a grill heating unit, a microwave heating unit, and the like. The heating drive unit 12 drives the heating unit 11 based on a control signal input from the control unit 100.

The control unit 100 includes a CPU (Central Processing Unit) 101, a main storage section 102, an auxiliary storage section 103, a neuroengine 104, a local communication section 106, an interface 107, and a timekeeping section 108, and interconnects them. A connecting bus 109 is provided. The main storage unit 102 is composed of a volatile memory such as RAM (Random Access Memory), and is used as a work area for the CPU 101. The auxiliary storage unit 103 is composed of a nonvolatile memory such as a semiconductor flash memory, and stores programs for realizing various functions of the control unit 100. The neuroengine 104 is hardware dedicated to arithmetic processing using a neural network having a preset number of nodes and layers. The local communication unit 106 is connected to the local network NW2, and sends various information notified from the CPU 101 to the local network NW2, and notifies the CPU 101 of various information received from the local network NW2. The heating drive unit 12 , the operating unit 17 , and the temperature sensor 18 are connected to the interface 107 . When control information for controlling the heating drive section 12 is input from the CPU 101, the interface 107 generates a control signal based on the input control information and outputs it to the heating drive section 12. The clock unit 108 is, for example, a real-time clock.

By reading the program stored in the auxiliary storage unit 103 into the main storage unit 102 and executing it, the CPU 101 controls the reception unit 111, the cooking setting change unit 112, the heating control unit 113, and the history notification unit 114, as shown in FIG. , a history acquisition section 115 , a model generation section 116 , a command acquisition section 117 , a cooking setting estimation section 118 , a model update section 119 , and a temperature acquisition section 120 . Further, the auxiliary storage section 103 shown in FIG. 2 includes a cooking setting storage section 131, a temperature storage section 132, and a model storage section 133, as shown in FIG. For example, as shown in FIG. 4(A), the cooking setting storage unit 131 stores the set thermal power P[N](N is an integer greater than or equal to 0), and heating section type information indicating the type of heating section 11 used to heat the object to be cooked at each point in time. It is stored in association with elapsed time information T[N] indicating time.

For example, as shown in FIG. 4(B), the temperature storage unit 132 stores measurement data indicating the measured temperature Th[N] near the cooking object measured by the temperature sensor 18 at each time point after the start of cooking in the cooking appliance 1. The temperature information is stored in association with elapsed time information T[N] indicating the elapsed time from the start of cooking to each point in time.

The model storage unit 133 stores data from the transition of cooking settings from the start of cooking of the cooking object to the control update time at which the preset control contents of the heating section are updated, to the next control update time. A cooking setting estimation model for estimating cooking settings between the two is stored. The cooking setting estimation model is, for example, a recurrent neural network. In this case, the model storage unit 133 stores information indicating the structure of the cooking setting estimation model and information indicating weighting coefficients in the cooking setting estimation model. Similar to the family structure estimation model, the information indicating the structure of the cooking setting estimation model includes information indicating the number of nodes, the number of layers, and the weighting coefficient and activation function corresponding to each node. Here, the weighting coefficient includes a weighting coefficient when the output from the layer to which each node belongs is fed back to the input. This cooking setting estimation model has an input layer L110, a hidden layer L120, and an output layer L130, as shown in FIG. The input layer L110 receives input heat setting information, heating section type information, and measured temperature information from the start of cooking the object to the first point in time after the start of cooking.

The hidden layer L120 is composed of three layers including, for example, a preset number N[j] of nodes y[j,i,t] (1≦i≦N[j], N[j] is a positive integer). has been done. Here, the output y[2, j, t] of each node except for the node immediately after the input layer L110 and the node immediately before the output layer L130 is expressed by the following relational expression (2).

...Formula (2)

Here, w _in [j, i] and w _feedback [j, i'] indicate weighting coefficients, and f(*) indicates an activation function. Moreover, t indicates a positive integer that reflects the number obtained by dividing the elapsed time from the start of cooking to the first time point by a preset unit time. As the activation function, a nonlinear function such as a sigmoid function, a ramp function, or a step function is used. The output of each node at the first time t is the sum of the outputs of multiple nodes belonging to the layer before the layer to which the node belongs at the first time t multiplied by a weighting coefficient, and This is the output of an activation function whose argument is the sum of the outputs of multiple nodes belonging to the same layer as the node multiplied by weighting coefficients. The output layer L130 is based on the output from the node belonging to the final layer of the hidden layer L120, and is based on the output from the node belonging to the final layer of the hidden layer L120. Outputs a value vector. Here, the output layer L130 executes processing using, for example, a softmax function. The combinations of the set heat power and the type of heating section 11 include a combination indicating that the heating section 11 is stopped to end the cooking. In addition, the model storage unit 133 stores initial setting thermal power information and initial heating section type information that are necessary when estimating the setting thermal power and heating section type using the cooking setting estimation model at the start of cooking, and the corresponding pattern identification information. It is stored in association with.

Returning to FIG. 3, the reception unit 111 receives the operation details of the operation performed by the user on the operation unit 17 provided in the cooking appliance 1, generates operation information indicating the received operation details, and prepares the cooking device by generating operation information indicating the received operation details. The setting change unit 112 is notified.

The cooking setting change unit 112 is configured to operate when the user performs a setting change operation on the input unit 505 of the terminal device 5 to change cooking settings, or when the user performs a setting change operation on the input unit 505 of the terminal device 5 or when the user performs a setting change operation on the operation unit 17 of the cooking appliance 1. When a setting change operation is performed to change the cooking settings, the cooking settings are changed based on the contents of the setting change operation. Furthermore, when the audio information indicating the audio input to the audio input device 7 indicates that a change in cooking settings is commanded, the cooking settings changing unit 112 changes the cooking settings based on the audio information. Specifically, when the cooking setting changing unit 112 is notified from the command acquiring unit 117 of command information to change the cooking settings, or when the receiving unit 111 is notified of operation information indicating changing the cooking settings. If so, extract at least one of the changed setting thermal power information and heating part type information included in the notified command information or operation information, and extract the setting thermal power information and heating part type information at the time corresponding to the notified timing. Update.

The heating control unit 113 controls the heating unit 11 based on the cooking settings set by the user via the terminal device 5, the operation unit 17, or the voice input device 7, or the cooking settings estimated by the cooking setting estimation unit 118. Control behavior. Specifically, the heating control unit 113 generates the above-mentioned control information based on the setting thermal power information and heating unit type information stored in the cooking setting storage unit 131, and outputs the generated control information to the heating drive unit 12. do. Further, when the cooking setting storage unit 131 stores information indicating the end of cooking in association with the most recent elapsed time information, the heating control unit 113 generates control information for stopping the heating unit 11; The control information thus obtained is output to the heating drive unit 12. Thereby, the heating drive section 12 stops the heating section 11.

Each time a preset temperature check time arrives after the start of cooking in the cooking appliance 1, the temperature acquisition unit 120 obtains measured temperature information indicating the measured temperature near the cooking object measured by the temperature sensor 18 at the temperature check time. is obtained from the temperature sensor 18. Then, the temperature acquisition unit 120 stores the acquired measured temperature information in the temperature storage unit 132 in association with elapsed time information indicating the elapsed time from the start of cooking to the temperature confirmation time.

Each time the cooking of the object to be cooked is completed, the history notification unit 114 updates the setting firepower information, heating part type information, and measured temperature information at each point in time from the start of cooking to the end of cooking, which is stored in the cooking setting storage unit 131. Cooking history information indicating the progress is generated and sent to the cloud server 2.

When the history acquisition unit 115 acquires the pattern identification information that identifies the cooking setting transition pattern transmitted from the cloud server 2 and the cooking history information belonging to this cooking setting transition pattern, the history acquisition unit 115 identifies the information contained in each of the acquired cooking history information. Extracts a combination of setting thermal power information, heating part type information, measured temperature information, and elapsed time information. Then, the history acquisition unit 115 notifies the model generation unit 116 of the extracted various information together with the pattern identification information.

The model generation unit 116 uses a combination of setting thermal power information, heating unit type information, measured temperature information, and elapsed time information notified from the history acquisition unit 115 to generate cooking settings indicated by the pattern identification information notified from the history acquisition unit 115. A cooking setting estimation model corresponding to the transition pattern is generated. Specifically, the model generation unit 116 first uses the cooking setting estimation model stored in the model storage unit 133 to arbitrarily select a combination of the notified setting heat power information, heating part type information, and measured temperature information. From the set heat power, heating part type, and measured temperature at the start of cooking for the selected one combination, the expected values of the set heat power, heating part type, and measured temperature at each time point from the start of cooking to the end of cooking are calculated. Here, the model generation unit 116 uses the neuroengine 104 to perform calculations using the heating setting estimation model. Next, the model generation unit 116 sets an expected value such that the expected value of the combination of the set thermal power, heating section type, and measured temperature at each point in time of the selected combination is higher than the expected value of other combinations. For example, the model generation unit 116 sets the expected value of the combination selected at each time point to a number larger than 0, and sets the expected value of the other combinations to "0". The model generation unit 116 then generates the expected values of the set heat power, heating part type, and measured temperature at each time point calculated using the cooking setting estimation model, and the set heat power and heating part type at each time point corresponding to the selected combination. and calculate the error between the measured temperature and the expected value. Then, the model generation unit 116 determines the weighting coefficient of the cooking setting estimation model using the BPTT (Back Propagation Through Time) method based on the calculated error. The model generation unit 116 generates a learned cooking setting estimation model by repeatedly performing this series of processing for all the combinations notified from the history acquisition unit 115. The model generation unit 116 causes the model storage unit 133 to store cooking setting estimation model information indicating the generated learned cooking setting estimation model in association with the notified pattern identification information.

When the command acquisition unit 117 acquires cooking start command information that instructs the start of cooking transmitted from the cloud server 2, it notifies the cooking setting estimation unit 118 of the acquired cooking start command information. This cooking start command information includes the pattern identification information described above. Further, upon acquiring the cooking setting change command information that instructs to change the cooking settings transmitted from the cloud server 2, the command acquisition unit 117 notifies the cooking setting change unit 112 of the acquired cooking setting change command information. This cooking setting change command information includes at least one of setting heat power information indicating the set heat power after the change and heating section type information indicating the type of the heating section after the change.

The cooking setting estimating unit 118 uses the cooking setting estimation model to determine the cooking settings of the cooking appliance 1 between the time of the next control update time and the transition of the cooking settings between the start of cooking and the above-mentioned control update time. presume. Specifically, the cooking setting estimating unit 118 uses the cooking setting estimation model indicated by the cooking setting estimation model information stored in the model storage unit 133 to estimate each cooking setting from the start of cooking to the first time point after the start of cooking. From the set thermal power information, heating section type information, and measured temperature information at the time point, the expected value of each combination of the plurality of types of set thermal power and three types of heating section types at the above-mentioned second time point is calculated. Then, the cooking setting estimating unit 118 identifies the combination of the setting heat power and heating unit type that gives the highest calculated expected value. Next, the cooking setting estimating unit 118 associates the setting heat power information indicating the combination of the specified setting heat power and the heating unit type and the heating unit type information with the elapsed time information indicating the control update timing, and stores the set heat power information and heating unit type information in the cooking setting storage unit 131. Further, when the cooking setting estimating unit 118 identifies a combination indicating the end of cooking, the cooking setting estimating unit 118 causes the cooking setting storage unit 131 to store information indicating the end of cooking.

When the cooking setting changing section 112 changes the setting heating power information or heating section type information stored in the cooking setting storage section 131, the model updating section 119 updates the setting heating power information or heating section type information with the changed setting heating section information after cooking is completed. Based on the temperature information, the cooking setting estimation model information stored in the model storage unit 133 is updated. Specifically, the model updating unit 119 first uses the cooking setting estimation model already stored in the model storage unit 133 to update each combination of set heat power and heating unit type at each point from the start of cooking to the end of cooking. Calculate the expected value. Here, the model update unit 119 uses the neuroengine 104 to perform calculations using the heating setting estimation model. Next, the model updating unit 119 sets an expected value such that the expected value of the combination of the actual setting heat power and heating section type stored in the cooking setting storage unit 131 is higher than the expected value of other combinations. . For example, the model update unit 119 sets the expected value of the combination of setting heat power and heating unit type stored in the cooking setting storage unit 131 to a number larger than 0, and sets the expected value of the other combinations to “0”. do. Then, the model updating unit 119 uses the expected value calculated using the cooking setting estimation model already stored in the model storage unit 133 and the actual set heat power and the change in heating unit type stored in the cooking setting storage unit 131. Calculate the error from the set expected value. Then, the model updating unit 119 determines the weighting coefficient of the cooking setting estimation model using the above-mentioned BPTT method based on the calculated error, and the model storage unit 133 stores the new cooking setting estimation model information indicating the determined weighting coefficient. Update cooking setting estimation model information.

Returning to FIG. 2, the cloud server 2 includes a CPU 201, a main storage section 202, an auxiliary storage section 203, a wide area communication section 206, and a bus 209 that interconnects these. CPU 201 is, for example, a multi-core processor. The main storage unit 202 is composed of volatile memory and is used as a work area for the CPU 201. The auxiliary storage unit 203 is composed of a large-capacity nonvolatile memory, and stores programs for realizing various functions of the cloud server 2. The wide area communication unit 206 is connected to the wide area network NW1.

By reading out the program stored in the auxiliary storage unit 203 into the main storage unit and executing it, the CPU 201 acquires a history acquisition unit 211, a classification unit 212, a recommended pattern identification unit 213, and a recommended pattern notification unit 214, as shown in FIG. , a registration request acquisition section 215, a history notification section 216, a voice information acquisition section 217, a voice analysis section 218, a command section 219, and a command acquisition section 220. Further, the auxiliary storage unit 203 includes a history storage unit 231. For example, as shown in FIG. 6, the history storage unit 231 stores past changes in the set heat power, heating part type, and measured temperature at each time point from the start of cooking to the end of cooking using the cooking appliance 1 of each user. The cooking history information shown is stored in association with cooking identification information that identifies each cooking and user identification information that identifies the user. Furthermore, the history storage unit 231 stores cooking history information classified into cooking setting transition patterns by the classification unit 212 in association with pattern identification information that identifies the cooking setting transition pattern to which the cooking history information belongs. .

Returning to FIG. 3, upon acquiring the above-mentioned cooking history information transmitted from the cooking appliance 1, the history acquisition unit 211 associates the acquired cooking history information with the cooking identification information and the cooking appliance 1 of the transmission source. The information is stored in the history storage unit 231 in association with the user identification information of the user.

The classification unit 212 classifies a plurality of pieces of cooking history information stored in the history storage unit 231 within a past preset classification target period into a plurality of cooking setting transition patterns. The classification unit 212 first generates a vector whose elements are set firepower at multiple points in time between the start of cooking and the end of cooking for each of the plurality of pieces of cooking history information in the past target period stored in the history storage unit 231. . The classification unit 212 also includes a heating unit 212 that indicates the type of heating unit 11 used at multiple points in time from the start of cooking to the end of cooking for each of the plurality of pieces of cooking history information in the past target period stored in the history storage unit 231. A vector whose elements are the identification values indicated by the part type information is generated. Further, the classification unit 212 generates a vector whose elements are measured temperatures at each of a plurality of points in time between the start of cooking and the end of cooking for each of the plurality of pieces of cooking history information in the past target period stored in the history storage unit 231. do. The classification unit 212 then generates a cooking setting transition vector that reflects the characteristics of the cooking setting transition pattern by combining these vectors for each piece of cooking identification information. When the history storage unit 231 stores various information as shown in FIG. 6, for example, the classification unit 212 stores a vector (P[0], P[1], . . . ..., P[N], ...) is generated. Furthermore, the classification unit 212 generates a vector (IDE0, IDE0, . . . , IDE1, . . . ) having the heating unit type IDEk as an element. Further, the classification unit 212 generates a vector (Th[0], Th[1], . . . , Th[N], . . . ) having the measured temperature Th[j] as an element. Then, the classification unit 212 combines these generated vectors for each cooking identification information to obtain a cooking setting transition vector (P[0], P[1], . . . , P[N], . . . , IDE0, IDE0,..., IDE1,..., Th[0], Th[1],..., Th[N],...). Here, when the number of multiple time points is N, the number of dimensions of the cooking setting transition vector is 3×N. Next, the classification unit 212 performs a process for classifying the plurality of cooking history information into a plurality of cooking setting transition patterns for each user based on the degree of similarity of the cooking setting transition vector corresponding to each of the above-mentioned cooking history information. Execute clustering processing. Specifically, the classification unit 212 uses the cooking setting transition vectors corresponding to each of the plurality of pieces of generated cooking history information to classify a plurality of cooking settings that are similar to each other based on, for example, the Euclidean distance between the plurality of cooking setting transition vectors. Classify into transition patterns. The classification unit 212 associates pattern identification information indicating a cooking setting transition pattern to which each of the plurality of pieces of cooking history information belongs, which has been classified by the clustering process, with the cooking history identification information of each of the plurality of pieces of cooking history information, and stores the pattern identification information in history storage. The information is stored in the section 231. Here, the classification unit 212 generates, as pattern identification information, information including, for example, the representative value of the setting heat power included in the cooking history information belonging to the cooking setting transition pattern, and the most frequently used heating unit type, and notifies the recommended pattern. 214.

The recommended pattern specifying unit 213 refers to the plurality of pieces of cooking history information stored in the history storage unit 231 and the pattern identification information associated therewith, and calculates the number of pieces of cooking history information belonging to each cooking setting transition pattern. Then, the recommended pattern identifying unit 213 identifies a cooking setting transition pattern that recommends generation of a cooking setting estimation model to the user, based on the number of cooking history information belonging to each of the plurality of calculated cooking setting transition patterns. . Specifically, the recommended pattern specifying unit 213 determines that the ratio of the number of cooking history information belonging to the cooking setting transition pattern notified from the classification unit 212 to the total number of cooking history information stored in the history storage unit 231 is set in advance. At least one cooking setting transition pattern that is equal to or higher than the set reference ratio is identified. The recommended pattern specifying unit 213 generates pattern identification information for identifying the specified cooking setting transition pattern and notifies the recommended pattern notification unit 214 of the generated pattern identification information. Here, the pattern identification information can be, for example, information representing a name including setting thermal power information, heating section type information, and measured temperature information indicated by cooking history information included in the corresponding cooking setting transition pattern. The recommended pattern notification unit 214 transmits pattern identification information of the cooking setting transition pattern specified by the recommended pattern identification unit 213 to the terminal device 5.

The registration request acquisition unit 215 acquires registration request information transmitted from the terminal device 5 and requesting that the recommended cooking setting estimation model be registered in the cooking appliance 1 . Here, the registration request information includes user identification information and pattern identification information of a cooking setting transition pattern that the user desires to register. When the registration request acquisition unit 215 acquires the registration request information, the registration request acquisition unit 215 extracts the user identification information and pattern identification information included in the acquired registration request information and notifies the history notification unit 216 of the user identification information and pattern identification information. The history notification unit 216 selects cooking history information corresponding to the combination of user identification information and pattern identification information notified from the registration request acquisition unit 215 from among the plurality of cooking history information stored in the history storage unit 231. , transmits the selected cooking history information to the cooking appliance 1.

Upon acquiring the voice information transmitted from the voice input device 7, the voice information acquisition unit 217 notifies the voice analysis unit 218 of the acquired voice information. The voice analysis unit 218 performs voice analysis on the voice information notified from the voice information acquisition unit 217 to identify the command content corresponding to the voice information. Here, the contents of the command include starting cooking according to the cooking setting transition pattern selected by the user, or changing the cooking setting of the cooking appliance 1, that is, the set heat power or the type of heating section. Then, based on the specified command content, the voice analysis unit 218 generates cooking start command information that commands the start of cooking in the cooking setting transition pattern selected by the user, or the set heat power or heating unit of the cooking appliance 1. Cooking setting change command information for instructing to change the type is generated and notified to the command unit 219. Here, the cooking start command information causes the cooking appliance to operate while estimating the set heat power or heating part type of the cooking appliance 1 using the cooking setting estimation model corresponding to the cooking setting transition pattern selected by the user. It is a command to do something.

Upon acquiring the aforementioned cooking start command information or cooking setting change command information transmitted from the terminal device 5 and selected by the user, the command acquisition unit 220 transmits the acquired cooking start command information or cooking setting change command information to the command unit. Notify 219. When the command unit 219 is notified of the above-mentioned cooking start command information or cooking setting change command information from the command acquisition unit 220, the command unit 219 transmits the notified cooking start command information or cooking setting change command information to the cooking appliance 1. Further, when the command unit 219 is notified of the above-mentioned cooking start command information or cooking setting change command information from the voice analysis unit 218, the command unit 219 transmits the notified cooking start command information or cooking setting change command information to the cooking appliance 1. .

The terminal device 5 is, for example, a smartphone, and as shown in FIG. A bus 509 that connects each other. The main storage unit 502 has volatile memory and is used as a work area for the CPU 501. The main storage unit 502 also includes an image-dedicated memory (not shown) that temporarily stores image information to be displayed on the display unit 504. The auxiliary storage unit 503 is a nonvolatile memory such as a semiconductor flash memory, and stores programs for the CPU 501 to execute various processes. The display unit 504 is a display device such as a liquid crystal display or an organic EL (Electro-Luminescence) display. The input unit 505 is, for example, a transparent touch pad placed over the display unit 504. The local communication unit 506 is connected to the local network NW2, and transmits information transferred from the CPU 501 to the cloud server 2 via the local network NW2 and the wide area network NW1, and from the cloud server 2 to the wide area network NW1 and the local network NW2. The information acquired via the CPU 501 is transferred to the CPU 501.

By reading the program stored in the auxiliary storage unit 503 into the main storage unit 502 and executing it, the CPU 501 controls the image forming unit 511, display control unit 512, reception unit 513, command unit 514, and registration unit as shown in FIG. It functions as a requesting unit 515. Further, the auxiliary storage section 503 shown in FIG. 2 includes a recommended pattern storage section 531, an image storage section 532, a registered pattern storage section 533, and a pattern name storage section 534, as shown in FIG. Further, the image-dedicated memory of the main storage unit 502 shown in FIG. 2 includes a display screen storage unit 521 that temporarily stores screen images to be displayed on the display unit 504, as shown in FIG. The recommended pattern storage unit 531 stores pattern identification information transmitted from the cloud server 2. The image storage unit 532 stores various image information including image information indicating basic icon images for constructing an operation screen image.

The registered pattern storage unit 533 stores pattern identification information of a cooking setting transition pattern requested to be registered in the cooking appliance 1 by the user from among the pattern identification information stored in the recommended pattern storage unit 531. When a name for a cooking setting transition pattern is set by the user for the cooking setting transition pattern, the pattern name storage unit 534 stores the name in association with the corresponding pattern identification information. As the name of the cooking setting transition pattern, for example, "Fluffy Tamagoyaki", "Feasty Beef Steak", "Hamburger Heating", "Mackerel Fillet", etc. that include the name of the cooking object can be adopted.

The image forming unit 511 forms an operation screen image that is referred to when performing the above-described operation of registering the cooking setting transition pattern of the cooking appliance 1 or changing the set heat power or heating unit type of the cooking appliance 1. Further, when the image forming unit 511 is notified of pattern name information indicating the name corresponding to the cooking setting transition pattern from the pattern name selection unit 517, the image forming unit 511 uses the notified pattern name information to inform the user of the cooking setting transition pattern. Form an operation screen image for selecting. Further, when the image forming unit 511 is notified of the pattern identification information from the recommended pattern acquisition unit 516, the image forming unit 511 newly registers the recommended cooking setting transition pattern in the cooking appliance 1 based on the notified pattern identification information. Form a registration operation screen image. The image forming unit 511 causes the display screen storage unit 521 to store image information indicating the formed operation screen image. The display control unit 512 causes the display unit 504 to display the aforementioned operation screen image based on the image information stored in the display screen storage unit 521.

The receiving unit 513 receives the details of the operation performed by the user on the input unit 505, generates operation information according to the received operation details, and notifies the command unit 514 or the registration requesting unit 515. When the user performs a pattern selection operation on the input unit 505 to select one cooking setting transition pattern from among a plurality of cooking setting transition patterns, the command unit 514 performs a pattern selection operation based on the content of the pattern selection operation indicated by the operation information. Then, cooking start command information is generated that instructs to estimate cooking settings using the cooking settings estimation model corresponding to the selected cooking settings transition pattern. Further, when the user performs a setting change operation to change the cooking settings on the input unit 505, the command unit 514 configures the cooking appliance 1 based on the content of the setting change operation indicated by the operation information. Generate cooking setting change command information for changing the heating power or heating unit type. Then, the command unit 514 transmits the generated cooking start command information or cooking setting change command information to the cloud server 2.

The registration requesting unit 515 registers in the cooking appliance 1 cooking setting estimation model information whose operation information corresponds to a cooking setting transition pattern indicated by at least one pattern identification information from among the pattern identification information stored in the recommended pattern storage unit 531. When indicating a model registration operation to perform a model registration operation, registration request information including pattern identification information corresponding to cooking setting estimation model information to be registered is generated based on the operation information. Then, the registration request unit 515 transmits the generated registration request information to the cloud server 2. Upon acquiring the pattern identification information transmitted from the cloud server 2, the recommended pattern acquisition unit 516 stores the acquired pattern identification information in the recommended pattern storage unit 531, and notifies the image forming unit 511 of the acquired pattern identification information. .

The pattern name selection unit 517 selects pattern name information associated with the pattern identification information stored in the registered pattern storage unit 533 from among the pattern name information stored in the pattern name storage unit 534 and sends the selected pattern name information to the image forming unit 511. Notice. When the name setting unit 518 is notified from the receiving unit 513 of operation information indicating an operation to assign a pattern name specified by the user to any of the pattern identification information stored in the registered pattern storage unit 533, the name setting unit 518 assigns the pattern name to the pattern name specified by the user. The pattern name information shown is generated and stored in the pattern name storage unit 534 in association with the corresponding pattern identification information.

Next, the operation of the cooking system according to this embodiment will be described with reference to FIGS. 8 to 10. First, as shown in FIG. 8, it is assumed that the user performs a cooking start operation on the operation unit 17 of the cooking appliance 1 to start cooking, and then a preset temperature check time has arrived. In this case, the cooking appliance 1 acquires measured temperature information indicating the measured temperature measured by the temperature sensor 18 from the temperature sensor 18, and associates the acquired measured temperature information with elapsed time information indicating the elapsed time from the start of cooking. and is stored in the temperature storage unit 132 (step S1). Next, assume that the user performs a cooking end operation on the operation unit 17 of the cooking appliance 1 to end the cooking. In this case, the cooking appliance 1 generates cooking history information indicating changes in the set heat power, heating section type, and measured temperature at each point in time from the start of cooking to the end of cooking (step S2). Subsequently, the generated cooking history information is transmitted from the cooking appliance 1 to the cloud server 2 (step S3). On the other hand, upon acquiring the cooking history information transmitted from the cooking appliance 1, the cloud server 2 converts the acquired cooking history information into cooking identification information and the user identification information of the user associated with the cooking appliance 1 as the transmission source. The information is stored in the history storage unit 231 in association with the information.

After that, assume that the user performs a registration operation screen display operation to display on the display unit 504 of the terminal device 5 a registration operation screen for registering a cooking setting estimation model in the cooking appliance 1. In this case, the terminal device 5 generates pattern request information that includes user identification information for identifying the user of the cooking appliance 1 and requests the cloud server 2 to transmit pattern identification information of the cooking setting transition pattern described above. (Step S4). Next, the generated pattern request information is transmitted from the terminal device 5 to the cloud server 2 (step S5). On the other hand, the cloud server 2 extracts the user identification information included in the pattern request information transmitted from the terminal device 5, and responds to the extracted user identification information from the cooking history information stored in the history storage unit 231. The above-mentioned cooking setting transition vector is generated for a plurality of pieces of cooking history information (step S6). Next, the cloud server 2 performs a clustering process on a plurality of cooking setting transition vectors corresponding to each of the plurality of generated cooking history information (step S7). Thereby, the cloud server 2 classifies the plural pieces of cooking history information into a plurality of cooking setting transition patterns of a preset number. Next, the cloud server 2 identifies a cooking setting transition pattern that recommends generation of a cooking setting estimation model to the user based on the number of cooking history information belonging to each of the plurality of cooking setting transition patterns (step S8 ). Thereafter, pattern identification information of the specified cooking setting transition pattern is transmitted from the cloud server 2 to the terminal device 5 (step S9). On the other hand, upon acquiring the pattern identification information, the terminal device 5 forms a registration operation screen image to newly register the recommended cooking setting transition pattern in the cooking appliance 1 based on the acquired pattern identification information, and displays it on the display screen. 504 (step S10).

Next, while referring to the registration operation screen image displayed on the display unit 504 of the terminal device 5, the user enters a cooking setting transition pattern selected from among the plurality of cooking setting transition patterns using the input unit 505. It is assumed that a model registration operation is performed to register corresponding cooking setting estimation model information in the cooking appliance 1. In this case, the terminal device 5 receives the model registration operation and generates registration request information including pattern identification information of the cooking setting transition pattern to be registered (step S11). At this time, the terminal device 5 stores pattern identification information of the cooking setting transition pattern to be registered in the registered pattern storage unit 533. Subsequently, the generated registration request information is transmitted from the terminal device 5 to the cloud server 2 (step S12). On the other hand, upon acquiring the registration request information, the cloud server 2 identifies cooking history information associated with the pattern identification information included in the acquired registration request information from among the cooking history information stored in the history storage unit 231. (Step S13). Thereafter, the specified cooking history information and corresponding pattern identification information are transmitted from the cloud server 2 to the cooking appliance 1 (step S14).

On the other hand, when the cooking appliance 1 acquires the cooking history information and the corresponding pattern identification information transmitted from the cloud server 2, the cooking appliance 1 acquires the setting heat power information, heating part type information, measured temperature information and the like, which are included in each of the acquired cooking history information. Extract a combination of elapsed time information. Then, the cooking appliance 1 uses a combination of the extracted various information such as setting firepower information, heating part type information, measured temperature information, and elapsed time information to correspond to the cooking setting transition pattern identified by the acquired pattern identification information. Cooking setting estimation model information indicating the cooking setting estimation model is generated, and the generated cooking setting estimation model information is stored in the model storage unit 133 in association with pattern information (step S15).

Further, the user performs a pattern name registration operation on the input unit 505 of the terminal device 5 to assign a name devised by the user to the cooking setting transition pattern for which the cooking setting estimation model information is generated by the cooking appliance 1. Suppose that In this case, the terminal device 5 generates pattern name information indicating a name devised by the user based on the operation details of the pattern name registration operation, and uses the generated pattern name information as a pattern stored in the registered pattern storage unit 533. The name is stored in the pattern name storage unit 534 in association with the pattern identification information to which the name is to be given (step S16).

Next, as shown in FIG. 9, it is assumed that the user performs a cooking start operation specifying a cooking setting transition pattern for which a cooking setting estimation model has been generated. Here, the terminal device 5 causes the display unit 504 to display an operation screen image GA1 as shown in FIG. 10(A), for example. The operation screen image GA1 includes message images M11, M12, M13 representing the operating status of each of the three IH heating units, a message image M14 representing the operating status of the grill heating unit, and an icon image IC1 representing the cooking appliance 1. including. In the icon image IC1, portions corresponding to the operating IH heating section and grill heating section are colored in a preset color. In addition, the operation screen image GA1 includes a button image BU11 indicating the part of the input unit 505 that is touched when stopping the cooking appliance 1, and a button image BU11 indicating the part touched when specifying the cooking setting transition pattern. button image BU12 displayed as . Then, when the user touches a portion of the input section 505 corresponding to the button image BU12 while the operation screen image GA1 as shown in FIG. 10(A) is displayed on the display section 504, the terminal device 5 Based on the pattern name information stored in the pattern name storage unit 534, an operation screen image GA2 as shown in FIG. 10(B) is formed and displayed on the display unit 504, for example. The operation screen image GA2 includes button images BU21, BU22, BU23, and BU24 representing pattern names of a plurality of types of cooking setting transition patterns for which cooking setting estimation models have been generated. Note that among the cooking setting transition patterns displayed on the operation screen image GA2, if pattern name information is not stored in the pattern name storage section 534, that is, if no pattern name is assigned by the user, the button images BU21, BU22, BU23 and BU24 directly represent the pattern identification information.

Here, while the operation screen image GA2 as shown in FIG. When any one is touched, the terminal device 5 selects the cooking setting transition pattern corresponding to the touched button image BU21, BU22, BU23, BU24, and provides cooking start command information including pattern identification information of the selected cooking setting transition pattern. is generated (step S17). Subsequently, the generated cooking start command information is transmitted from the terminal device 5 to the cloud server 2 (step S18), and then transmitted from the cloud server 2 to the cooking appliance 1 (step S19). On the other hand, upon acquiring the cooking start command information, the cooking appliance 1 extracts the pattern identification information included in the acquired cooking start command information, and identifies the pattern extracted from the cooking setting estimation model information stored in the model storage unit 133. Cooking setting estimation model information corresponding to the information is selected (step S20).

Thereafter, the cooking appliance 1 acquires measured temperature information from the temperature sensor 18, and stores the acquired measured temperature information in the temperature storage unit 132 in association with elapsed time information indicating the cooking start time (step S21). Next, the cooking appliance 1 stores the initial setting thermal power information corresponding to the extracted pattern identification information stored in the model storage section 133, the initial setting thermal power indicated by the initial heating section type information, the type of the heating section 11, and the temperature memory. Using the cooking setting estimation model, the cooking settings of the cooking appliance 1, that is, the set heat and the type of the heating unit 11 to be used are estimated from the measured temperature indicated by the measured temperature information stored in the unit 132. Then, the cooking appliance 1 stores the estimated setting heat power, setting heat power information indicating the type of heating section 11 to be used, and heating section type information in the cooking setting storage section 131 in association with elapsed time information indicating the cooking start point. (Step S22). Subsequently, the cooking appliance 1 executes control to heat the cooking object at the estimated set heat power using the estimated type of heating section 11 stored in the cooking setting storage section 131 (step S23).

After that, when the preset control update time arrives, the cooking appliance 1 again acquires the measured temperature information from the temperature sensor 18, associates the acquired measured temperature information with the elapsed time information indicating the cooking start time, and adjusts the temperature. The information is stored in the storage unit 132 (step S24). Next, the cooking appliance 1 uses the cooking setting estimation model based on the changes in the set heat power and heating part type and the measured temperature indicated by the measured temperature information between the start of cooking and the control update time. The next set thermal power and the type of heating section 11 to be used are estimated. Then, the cooking appliance 1 associates the estimated setting heat power, setting heat power information indicating the type of the heating section 11, and heating section type information with the elapsed time information indicating the next control update time, and stores it in the cooking setting storage section 131. (Step S25). Subsequently, the cooking appliance 1 executes control to heat the cooking object at the estimated set heat power using the estimated type of heating section 11 stored in the cooking setting storage section 131 (step S26). Thereafter, a series of processes from steps S24 to S26 are repeatedly executed every time the control update time arrives.

Further, assume that the user performs an operation to change cooking settings, that is, the set heat power or the type of heating unit 11 to be used, via the operation unit 17 of the cooking appliance 1 during cooking. In this case, the cooking appliance 1 updates the setting thermal power information or heating section type information stored in the cooking setting storage section 131 to the setting thermal power information or heating section type information after being changed by the above-described operation (step S27). Next, the cooking appliance 1 uses the updated cooking setting stored in the cooking setting storage unit 131, that is, the heating unit 11 of the type indicated by the updated heating unit type information, to set the cooking target at the updated setting heat power. Control for heating the object is executed (step S28).

Further, assume that the user performs an operation to change the set thermal power or the type of heating unit to be used via the input unit 505 of the terminal device 5 during cooking. In this case, the terminal device 5 generates setting change command information including setting thermal power information indicating the changed setting thermal power or heating unit type information indicating the type of the heating unit 11 after the change (step S29). Thereafter, the generated setting change command information is transmitted from the terminal device 5 to the cloud server 2 (step S30), and then transmitted from the cloud server 2 to the cooking appliance 1 (step S31). On the other hand, upon acquiring the setting change command information, the cooking appliance 1 extracts the changed setting heat power information or heating unit type information included in the acquired setting change command information, and extracts the set heat power information stored in the cooking setting storage unit 131. Alternatively, the heating part type information is updated to the extracted setting thermal power information or heating part type information after the change (step S32). Next, the cooking appliance 1 uses the updated cooking setting stored in the cooking setting storage unit 131, that is, the heating unit 11 of the type indicated by the updated heating unit type information, and uses the updated setting firepower to cook the object. Control for heating the object is executed (step S33).

Further, as shown in FIG. 11, it is assumed that the user performs a voice input to the voice input device 7 during cooking to change the cooking settings, that is, to change the set heat power or the type of heating section to be used. In this case, the voice input device 7 generates voice information indicating the input voice (step S34), and the generated voice information is transmitted from the voice input device 7 to the cloud server 2 (step S35). On the other hand, upon acquiring the voice information transmitted from the voice input device 7, the cloud server 2 analyzes the acquired voice information (step S36). Here, it is assumed that the cloud server 2 determines that the command content corresponding to the voice information is a change in the set thermal power or a change in the type of heating section (step S37). In this case, the cloud server 2 generates setting change command information including setting thermal power information indicating the changed setting thermal power indicated by the audio information or heating unit type information indicating the changed heating unit type (step S38). Subsequently, the generated setting change command information is transmitted from the cloud server 2 to the cooking appliance 1 (step S39). On the other hand, upon acquiring the setting change command information, the cooking appliance 1 extracts the changed setting heat power information or heating part type information included in the acquired setting change command information, and extracts the set heat power information stored in the cooking setting storage unit 131. Alternatively, the heating section type information is updated to the extracted setting thermal power information or heating section type information after the change (step S40). Thereafter, the cooking appliance 1 uses the updated cooking settings stored in the cooking setting storage unit 131, that is, the heating unit 11 indicated by the updated heating unit type information, to heat the object to be cooked at the updated setting heat power. control is executed (step S41).

Moreover, when the preset control update time arrives, the cooking appliance 1 again acquires the measured temperature information from the temperature sensor 18, associates the acquired measured temperature information with the elapsed time information indicating the cooking start time, and adjusts the temperature. The information is stored in the storage unit 132 (step S42). Next, the cooking appliance 1 uses the cooking setting estimation model based on the changes in the set heat power and heating part type and the measured temperature indicated by the measured temperature information from the start of cooking to the control update time. As a result of estimating the next set heat power and type of heating section, it is assumed that it is determined that cooking is finished (step S43). Assume that the cooking appliance 1 determines that the cooking setting, that is, the set heat power or the type of heating unit 11 used, has been changed between the start of cooking and the end of cooking (step S44). In this case, the cooking appliance 1 newly generates cooking setting estimation model information using a combination of setting heat power information, heating part type information, measured temperature information, and elapsed time information stored in the cooking setting storage unit 131. The cooking setting estimation model information stored in the model storage unit 133 is updated with the cooking setting estimation model information (step S45).

Next, a cooking history transmission process for transmitting cooking history information used to generate cooking setting estimation model information to the cooking appliance 1, which is executed by the cloud server 2 according to the present embodiment, will be described with reference to FIG. 12. This cooking history process is started, for example, when a program for executing a recommended setting notification process is started in the cloud server 2. First, the history acquisition unit 211 determines whether cooking history information has been acquired from the cooking appliance 1 (step S201). If the history acquisition unit 211 determines that cooking history information has not been acquired (step S201: No), the process of step S208, which will be described later, is executed. On the other hand, if the history acquisition unit 211 determines that the cooking history information has been acquired (step S201: Yes), the acquired cooking history information is combined with the cooking identification information is stored in the history storage unit 231 in association with the user identification information of the user (step S202). Next, the classification unit 212 determines whether or not the history storage unit 231 has accumulated cooking history information for a reference period from the most recent time to the most recent reference period of a preset length ( Step S203). If the classification unit 212 determines that the history storage unit 231 has not yet accumulated cooking history information for the reference period (step S203: No), the process of step S208, which will be described later, is executed.

On the other hand, if the history storage unit 231 determines that the cooking history information of the reference period has been accumulated (step S203: Yes), the classification unit 212 selects the cooking settings indicated by each of the above-mentioned cooking history information from the plurality of accumulated cooking history information. A cooking setting transition vector that reflects the characteristics of the transition pattern is generated (step S204). Next, the classification unit 212 performs clustering processing on the plurality of cooking setting transition vectors corresponding to each of the plurality of generated pieces of cooking history information (step S205). Thereby, the classification unit 212 classifies the plural pieces of cooking history information into a plurality of cooking setting transition patterns of a preset number. Thereafter, the recommended pattern identifying unit 213 identifies a cooking setting transition pattern that recommends generation of a cooking setting estimation model to the user based on the number of cooking history information belonging to each of the plurality of cooking setting transition patterns (step S206). Next, the recommended pattern notification unit 214 transmits pattern identification information of the specified cooking setting transition pattern to the terminal device 5 (step 207).

Subsequently, the registration request acquisition unit 215 determines whether registration request information transmitted from the terminal device 5 has been acquired (step S208). Here, if the registration request acquisition unit 215 determines that registration request information has not been acquired (step S208: No), the process of step S201 is executed again. On the other hand, when the registration request acquisition unit 215 determines that the above-mentioned registration request information has been acquired (step S208: Yes), the registration request acquisition unit 215 extracts the pattern identification information included in the acquired registration request information and notifies the history notification unit 216. Then, the history notification unit 216 identifies cooking history information associated with the pattern identification information notified from the registration request acquisition unit 215 from among the cooking history information stored in the history storage unit 231 (step S209). After that, the history notification unit 216 transmits the specified cooking history information and the corresponding pattern identification information to the cooking appliance 1 (step S210), and the process of step S201 is executed again.

Next, the cooking appliance control process executed by the cooking appliance 1 according to the present embodiment will be described with reference to FIGS. 13 and 14. This cooking appliance control process is started, for example, when the cooking appliance 1 is powered on. First, the reception unit 111 determines whether or not a cooking start operation performed by the user via the operation unit 17 has been accepted (step S101). If the reception unit 111 determines that the cooking start operation has not been received (step S101: No), the process of step S123, which will be described later, is executed. On the other hand, if the reception unit 111 determines that the cooking start operation has been received (step S101: Yes), the temperature acquisition unit 120 determines whether a preset temperature confirmation time has arrived (step S102). Here, if the temperature acquisition unit 120 determines that the temperature confirmation time has not yet arrived (step S102: No), the process of step S105, which will be described later, is executed. On the other hand, when the temperature acquisition unit 120 determines that the temperature confirmation time has arrived (step S102: Yes), it acquires the measured temperature information indicating the above-mentioned measured temperature from the temperature sensor 18, and uses the obtained measured temperature information as described above. It is stored in the temperature storage unit 132 in association with the time information (step S103). Next, the cooking setting change unit 112 generates the setting heat power received by the receiving unit 111, setting heat power information indicating the type of heating unit, and heating unit type information, and stores the generated heat settings in the cooking setting storage unit 131 in association with the elapsed time information described above. (Step S104).

Subsequently, the reception unit 111 determines whether or not the cooking end operation performed by the user via the operation unit 17 has been accepted (step S105). If the receiving unit 111 determines that the cooking end operation has not been received (step S105: No), the process of step S102 is executed again. On the other hand, if the reception unit 111 determines that the cooking end operation has been received (step S105: Yes), the history notification unit 114 updates the setting firepower at each point in time between the start of cooking and the end of cooking, which is stored in the cooking setting storage unit 131. Cooking history information indicating changes in information, heating part type information, and measured temperature information is generated and transmitted to the cloud server 2 (step S106).

After that, the command acquisition unit 117 determines whether or not the cooking start command information transmitted from the cloud server 2 has been acquired (step S107). Here, if the command acquisition unit 117 determines that cooking start command information has not been acquired (step S107: No), the process of step S123, which will be described later, is executed. On the other hand, when the command acquisition unit 117 determines that the cooking start command information has been acquired (step S107: Yes), the command acquisition unit 117 extracts the pattern identification information included in the acquired cooking start command information, and uses the extracted pattern identification information to estimate the cooking settings. 118. Then, the cooking setting estimation unit 118 selects cooking setting estimation model information corresponding to the extracted pattern identification information from among the cooking setting estimation model information stored in the model storage unit 133 (step S108).

Next, the temperature acquisition unit 120 acquires measured temperature information from the temperature sensor 18, and stores the acquired measured temperature information in the temperature storage unit 132 in association with elapsed time information indicating the cooking start time (step S109). Next, the cooking setting estimating unit 118 calculates the initial setting heat power, the initial heating unit type, and the measured temperature indicated by the measured temperature information stored in the temperature storage unit 132, which corresponds to the extracted pattern identification information stored in the model storage unit 133. Using the cooking setting estimation model, the cooking settings of the cooking appliance 1, that is, the set heat power and heating section type are estimated. Then, the cooking setting estimation unit 118 stores the estimated setting heat power, setting heat power information indicating the heating unit type, and heating unit type information in the cooking setting storage unit 131 in association with the elapsed time information indicating the cooking start time ( Step S110). Next, the heating control unit 113 executes control to heat the object to be cooked at the estimated setting heat power using the heating unit 11 of the type indicated by the estimated heating unit type information stored in the cooking setting storage unit 131 ( Step S111).

After that, the temperature acquisition unit 120 and the cooking setting estimation unit 118 determine whether a preset control update time has arrived (step S112). Here, if the temperature acquisition unit 120 and the cooking setting estimation unit 118 determine that the control update time has not arrived (step S112: No), the reception unit 111 accepts the settings made by the user via the operation unit 17. It is determined whether a cooking setting change operation for changing the heating power or heating unit type has been received (step S113). Here, if the reception unit 111 determines that the cooking setting change operation has been received (step S113: Yes), the process of step S115, which will be described later, is executed. On the other hand, if the reception unit 111 determines that the cooking setting change operation has not been accepted (step S113: No), the command acquisition unit 117 determines whether or not the setting change command information transmitted from the cloud server 2 has been acquired. (Step S114). Here, if the command acquisition unit 117 determines that the setting change command information has not been acquired (step S114: No), the process of step S112 is executed again. On the other hand, if the command acquisition unit 117 determines that the setting change command information has been acquired (step S114: Yes), the command acquisition unit 117 extracts the changed setting heat power information or heating part type information included in the acquired setting change command information and performs cooking. The setting change unit 112 is notified. Then, the cooking setting changing unit 112 updates the changed setting thermal power information or heating unit type information that has been notified (step S115). Next, the heating control unit 113 uses the updated cooking setting stored in the cooking setting storage unit 131, that is, the heating unit 11 of the type indicated by the updated heating unit type information, and cooks at the updated setting firepower. Control for heating the object is executed (step S116). Subsequently, the process of step S112 is executed again.

Further, assume that the temperature acquisition unit 120 and the cooking setting estimation unit 118 determine that the control update time has arrived in step S112 (step S112: Yes). In this case, as shown in FIG. 14, the temperature acquisition unit 120 acquires measured temperature information from the temperature sensor 18, associates the acquired measured temperature information with elapsed time information indicating the cooking start time, and stores it in the temperature storage unit 132. (step S117). Thereafter, the cooking setting estimating unit 118 uses the cooking setting estimation model to determine whether the cooking appliance 1 The combination of the set thermal power and the type of heating section 11 to be used until the next control update time is estimated. Then, the cooking appliance 1 stores the estimated setting heat power, setting heat power information indicating the type of heating section 11, and heating section type information in the cooking setting storage section 131 in association with the elapsed time information indicating the cooking start time ( Step S118). Note that, when the cooking setting estimating unit 118 identifies a combination indicating the end of cooking, the cooking setting estimating unit 118 causes the cooking setting storage unit 131 to store information indicating the end of cooking. Next, the heating control unit 113 refers to the information stored in the cooking setting storage unit 131 that corresponds to the period up to the next control update time, and determines whether or not the cooking setting estimating unit 118 estimates that cooking has ended. (Step S119). Here, it is assumed that the heating control unit 113 determines that the cooking is not estimated to be finished yet (step S119: No). In this case, the heating control unit 113 uses the estimated type of heating unit 11 to perform control to heat the cooking object at the estimated set heat power (step S120). Subsequently, the process of step S112 is executed again.

On the other hand, assume that the heating control unit 113 determines in step S119 that cooking is estimated to be finished (step S119: Yes). In this case, the model updating unit 119 changes the cooking setting between the start of cooking and the end of cooking, that is, a setting of a heating power different from the estimated setting heating power or a heating part 11 of a different type from the estimated type of heating part 11. It is determined whether there has been a change to (step S121). Here, if the model update unit 119 determines that there has been no change from the estimated setting heat power or type of heating unit 11 after the start of cooking until the end of cooking (step S121: No), the process of step 123 described below is executed. On the other hand, if the model updating unit 119 determines that there has been a change from the estimated setting heat power or the type of heating unit 11 between the start of cooking and the end of cooking (step S121: Yes), the cooking setting storage unit 131 stores Cooking setting estimation model information is newly generated using a combination of setting thermal power information, heating part type information, measured temperature information, and elapsed time information. Then, the model updating unit 119 updates the cooking setting estimation model information stored in the model storage unit 133 with the generated cooking setting estimation model information (step S122).

After that, the history acquisition unit 115 determines whether or not the cooking history information and the corresponding pattern identification information transmitted from the cloud server 2 have been acquired (step S123). Here, if the history acquisition unit 115 determines that the cooking history information and the corresponding pattern identification information have not been acquired (step S123: No), the process of step S101 is executed again. On the other hand, if the history acquisition unit 115 determines that the cooking history information and the corresponding pattern identification information have been acquired (step S123: Yes), the setting heat power information, heating part type information, and measurement information included in each of the acquired cooking history information A combination of temperature information and elapsed time information is extracted (step S124). Next, the model generation unit 116 uses a combination of the extracted setting thermal power information, heating part type information, measured temperature information, and elapsed time information to estimate cooking settings that indicates a cooking setting estimation model corresponding to the acquired pattern identification information. Model information is generated, and the generated cooking setting estimation model information is stored in the model storage unit 133 in association with pattern information (step S125). Subsequently, the process of step S101 is executed again.

Next, a cooking setting estimation model registration process executed by the terminal device 5 according to the present embodiment for registering cooking setting estimation model information in the cooking appliance 1 will be described with reference to FIG. 15. This cooking setting estimation model registration process is started, for example, when a program for executing the cooking setting estimation model registration process is started after the terminal device 5 is powered on. First, the reception unit 513 determines whether or not a registration operation screen display operation for displaying on the display unit 504 a registration operation screen for registering cooking setting estimation model information in the cooking appliance 1 is received (step S301). . Here, if the accepting unit 513 determines that the registration operation screen display operation is not accepted (step S301: No), the process of step S306, which will be described later, is executed. On the other hand, if the reception unit 513 determines that the registration operation screen display operation has been accepted (step S301: Yes), the recommended pattern acquisition unit 516 generates the above-mentioned pattern request information and transmits it to the cloud server 2 (step S302). . Next, the recommended pattern acquisition unit 516 acquires at least one pattern identification information transmitted from the cloud server 2 in response to the pattern request information, and stores the acquired pattern identification information in the recommended pattern storage unit 531 (step S303 ). Subsequently, if pattern name information corresponding to the pattern identification information stored in the recommended pattern storage section 531 exists in the pattern name information stored in the pattern name storage section 534, the pattern name selection section 517 selects the pattern name. Information is selected (step S304). The image forming unit 511 also registers cooking setting estimation model information in the cooking appliance 1 based on the pattern identification information acquired by the recommended pattern acquisition unit 516 and the pattern name information selected by the pattern name selection unit 517. A registration operation screen image that is referred to when performing a model registration operation for selecting pattern identification information of a target cooking setting transition pattern is formed and stored in the display screen storage unit 521. Then, the display control unit 512 causes the display unit 504 to display the registration operation screen image stored in the display screen storage unit 521 (step S305). Here, the registration operation screen image displays the estimated cooking setting pattern using the pattern name for pattern identification information for which pattern name information is selected from among the pattern identification information stored in the recommended pattern storage unit 531.

Thereafter, the receiving unit 513 determines whether a model registration operation for registering cooking setting estimation model information in the cooking appliance 1 has been received (step S306). Here, if the accepting unit 513 determines that the model registration operation is not accepted (step S306: No), the process of step S309, which will be described later, is executed. On the other hand, if the reception unit 513 determines that the model registration operation has been accepted (step S306: Yes), it generates registration request information including the pattern identification information selected in the model registration operation and transmits it to the cloud server 2 (step S307). ). Next, the registration request unit 515 stores the selected pattern identification information in the registered pattern storage unit 533 (step S308).

Subsequently, the reception unit 513 determines whether the user has accepted a pattern name registration operation for assigning a name devised by the user to the cooking setting transition pattern (step S309). Here, if the reception unit 513 determines that the pattern name registration operation has not been accepted (step S309: No), the process of step S311, which will be described later, is executed. On the other hand, if the receiving unit 513 determines that the pattern name registration operation has been received (step S309: Yes), it generates pattern name information indicating the name devised by the user based on the operation details of the pattern name registration operation. The pattern name information thus obtained is stored in the pattern name storage unit 534 in association with the pattern identification information to which the pattern name is to be assigned, which is stored in the registered pattern storage unit 533 (step S310).

Thereafter, the user receives an operation screen display operation for displaying on the display unit 504 an operation screen image (for example, operation screen image GA2 in FIG. 10(B)) for selecting cooking using the cooking setting estimation model. It is determined whether or not it has been completed (step S311). Here, if the accepting unit 513 determines that the operation screen display operation is not accepted (step S311: No), the process of step S301 is executed again. On the other hand, if the reception unit 513 determines that the operation screen display operation has been received (step S311: Yes), the pattern name selection unit 517 selects the registered pattern storage unit 533 from among the pattern name information stored in the pattern name storage unit 534. If there is pattern name information corresponding to the pattern identification information stored in the pattern name information, the pattern name information is selected (step S312). Next, the image forming section 511 forms the above-mentioned operation screen image based on the pattern identification information stored in the registered pattern storage section 533 and the pattern name information selected by the pattern name selection section 517, and stores the image on the display screen. The information is stored in the section 521. Then, the display control unit 512 causes the display unit 504 to display the registration operation screen image stored in the display screen storage unit 521 (step S313). Here, the registered operation screen image displays the estimated cooking setting pattern using the pattern name for pattern identification information for which pattern name information is selected from among the pattern identification information stored in the registered pattern storage section 533. Subsequently, the process of step S301 is executed again.

As explained above, in the cooking system according to the present embodiment, the model generation unit 116 calculates the past cooking settings from the start of cooking to the end of cooking, that is, changes in the set heat and the type of heating unit 11 used. Cooking setting estimation model information is generated based on cooking history information indicating the history of cooking settings. In addition, each time the control update time arrives after the start of cooking, the cooking setting estimating unit 118 calculates the next control update time based on the changes in the set heat power and the type of heating unit 11 to be used between the time after the start of cooking and the time to update the control. The set thermal power and the type of heating section 11 to be used are estimated until the control update time. Then, the heating control unit 113 controls the heating unit 11 based on the estimated setting thermal power and the type of heating unit 11 to be used. As a result, the user can follow the cooking settings when cooking the object in the past without having to set the setting firepower and the type of heating section 11 to be used for each time period from the start of cooking to the end of cooking. Since it becomes possible to cook the object to be cooked, convenience for the user is improved.

Further, the classification unit 212 according to the present embodiment stores a plurality of pieces of cooking history information indicating a history of changes in the setting heat power and the type of the heating unit 11 from the start of cooking to the end of cooking within the past reference period. Classify into cooking setting transition patterns. Further, the recommended pattern specifying unit 213 specifies a cooking setting transition pattern that recommends generation of a cooking setting estimation model to the user, based on the number of cooking history information belonging to each of the plurality of cooking setting transition patterns. Then, the model generation unit 116 generates cooking setting estimation model information based on the history of cooking settings indicated by the plurality of pieces of cooking history information belonging to the identified cooking setting transition pattern. As a result, cooking setting estimation model information corresponding to the cooking setting transition pattern that the user frequently employs when cooking is registered in the cooking appliance 1. Therefore, when the user cooks using the frequently adopted cooking setting transition pattern, the user does not need to set the setting firepower or the type of heating section 11 to be used, so the burden on the user can be reduced. .

Incidentally, cooking systems have been conventionally provided in which cooking equipment such as an IH cooking heater can be operated via the terminal device 5. In this type of cooking system, the terminal device 5 has registered in advance information indicating the operation contents of cooking appliances that are frequently used by the user, and displays the registered operation contents in a list format on the display unit 504. let Here, the information indicating the operation contents includes, for example, the combination of heating method, heating type, heat power, and heating time of the cooking appliance, and the user can register an operation name of their own for each. There are some things. For example, by registering the operation name corresponding to the combination of heating method, heating type, firepower, and heating time when cooking "omelet" as "fluffy omelet," the user can By simply performing an operation of selecting a combination to which the operation name of "fluffy omelet" is given via step 505, the cooking appliance controls the cooking appliance with the control content for realizing the selected combination.

However, in this conventional cooking system, the user is required to perform an operation to register in advance the combination of heating method, heating type, heating power, and heating time of the cooking appliance, which may be a burden on the user. In contrast, in the cooking system according to the present embodiment, the cloud server 2 specifies cooking history information belonging to a cooking setting transition pattern that is frequently used by the user, and the cooking device 1 specifies the cooking history information that belongs to the cooking setting transition pattern that is frequently used by the user. Cooking setting transition model information is generated based on the history information, and thereafter, the heating unit 11 is controlled using the cooking setting transition model indicated by the generated cooking setting estimation model information. This eliminates the need for the user to register the setting firepower, type of heating section 11, etc. for each time period during cooking in the frequently used cooking setting transition pattern, reducing the burden on the user. be able to.

Furthermore, in the cooking system according to the present embodiment, if the set heat power or the type of heating unit 11 is changed between the start of cooking and the end of cooking, the model update unit 119 updates the cooking setting storage unit 131 after the end of cooking. The cooking setting estimation model information is updated based on the changes in the changed setting heat power and heating section type stored in the . As a result, for the cooking setting estimation model that corresponds to the cooking setting transition pattern that the user uses frequently, the user can change the setting heat power and the type of heating unit 11 used from the start of cooking until the end of cooking. If so, the cooking setting estimation model information is estimated using the cooking setting estimation model, and it is determined that the setting heat power and the type of heating unit 11 are inappropriate, and the cooking setting estimation model information is updated.

(Embodiment 2)
The control system according to the present embodiment is different from the first embodiment in that the cloud server generates a cooking setting estimation model and transmits cooking setting estimation model information indicating the generated cooking setting estimation model to the cooking appliance 1. do. The cooking appliance then estimates the cooking settings of the cooking appliance 1 using the cooking setting estimation model transmitted from the cloud server.

The hardware configuration of the cooking system according to the present embodiment is the same as that of the cooking system according to the first embodiment. Hereinafter, hardware configurations similar to those in Embodiment 1 will be described using the same reference numerals as in Embodiment 1. The CPU 101 of the control unit 2100 of the cooking appliance 2001 reads out the program stored in the auxiliary storage unit 103 to the main storage unit 102 and executes it, thereby controlling the receiving unit 111, cooking setting changing unit 112, and heating as shown in FIG. It functions as a control section 113, a history notification section 114, a history acquisition section 115, a command acquisition section 117, a cooking setting estimation section 118, a model update section 119, a temperature acquisition section 120, and a model acquisition section 2121. Note that in FIG. 16, the same components as in Embodiment 1 are given the same reference numerals as in FIG. 3. Further, the auxiliary storage section 103 includes a cooking setting storage section 131, a temperature storage section 132, and a model storage section 133, as shown in FIG. Upon acquiring the cooking setting estimation model information and the corresponding pattern identification information transmitted from the cloud server 2002, the model acquisition unit 2121 associates the obtained cooking setting estimation model information and pattern identification information with each other and stores the model. The information is stored in the section 133.

The CPU 201 of the cloud server 2002 reads the program stored in the auxiliary storage unit 203 into the main storage unit and executes it, thereby sending the history acquisition unit 211, classification unit 212, recommended pattern identification unit 213, recommended pattern notification unit 214, and registration request. It functions as an acquisition section 215, a voice information acquisition section 217, a voice analysis section 218, a command section 219, a command acquisition section 220, a model generation section 2221, and a model transmission section 2222. Further, the auxiliary storage unit 203 includes a history storage unit 231 and a model storage unit 2232. The model storage unit 2232 stores the cooking setting estimation model information generated by the model generation unit 2221 in association with the corresponding pattern identification information.

The model generation unit 2221 selects cooking history information corresponding to the combination of user identification information and pattern identification information notified from the registration request acquisition unit 215 from among the plurality of pieces of cooking history information stored in the history storage unit 231. . Then, the model generation unit 2221 uses the combination of setting thermal power information, heating part type information, measured temperature information, and elapsed time information corresponding to the selected cooking history information to generate the pattern identification information notified from the registration request acquisition unit 215. Cooking setting estimation model information indicating a cooking setting estimation model corresponding to the cooking setting transition pattern indicated by is generated. The model generation unit 2221 stores the generated cooking setting estimation model information in the model storage unit 2232. The model transmission unit 2222 selects the cooking setting estimation model information corresponding to the pattern identification information notified from the registration request acquisition unit 215 from among the cooking setting estimation model information stored in the model storage unit 2232, and selects the selected cooking setting. The estimated model information is transmitted to the cooking appliance 2001 along with the corresponding pattern identification information.

Next, the operation of the cooking system according to this embodiment will be described with reference to FIG. 17. Note that in FIG. 17, the same processes as in Embodiment 1 are given the same reference numerals as in FIGS. 8, 9, and 11. First, after a series of processes from steps S1 to S8 are executed, the user, while referring to the registration operation screen image displayed on the display unit 504 of the terminal device 5, inputs a plurality of cooking instructions to the input unit 505. It is assumed that a model registration operation is performed to register cooking setting estimation model information corresponding to a cooking setting transition pattern selected from among the setting transition patterns in the cooking appliance 2001. In this case, the terminal device 5 receives the model registration operation and generates registration request information as described above (step S9). Next, the generated registration request information is transmitted from the terminal device 5 to the cloud server 2002 (step S10). On the other hand, upon acquiring the registration request information, the cloud server 2002 identifies cooking history information associated with the pattern identification information included in the acquired registration request information from among the cooking history information stored in the history storage unit 231. (Step S11). Next, the cloud server 2002 uses a combination of setting heat power information, heating part type information, measured temperature information, and elapsed time information included in each of the identified cooking history information to create a cooking setting estimation model corresponding to the cooking setting transition pattern. Cooking setting estimation model information indicating the cooking setting estimation model information is generated (step S2001). Here, the cloud server 2002 stores the generated cooking setting estimation model information in the model storage unit 2232 in association with the corresponding pattern identification information. Thereafter, the cooking setting estimation model information and the corresponding pattern identification information stored in the model storage unit 2232 are transmitted from the cloud server 2002 to the cooking appliance 2001 (step S2002). On the other hand, upon acquiring the cooking setting estimation model information and the corresponding pattern identification information transmitted from the cloud server 2, the cooking appliance 2001 associates the obtained cooking setting estimation model information and pattern identification information with each other and creates a model. The information is stored in the storage unit 133 (step S2003).

Next, a model transmission process for transmitting cooking setting estimation model information to the cooking appliance 1, which is executed by the cloud server 2 according to the present embodiment, will be described with reference to FIG. 18. Note that in FIG. 18, processes similar to the cooking history transmission process described in Embodiment 1 are designated by the same reference numerals as in FIG. 12. First, after a series of processes from steps S201 to S207 are executed, the registration request acquisition unit 215 determines whether registration request information transmitted from the terminal device 5 has been acquired (step S208). Here, if the registration request acquisition unit 215 determines that registration request information has not been acquired (step S208: No), the process of step S201 is executed again. On the other hand, when the registration request acquisition unit 215 determines that the above-mentioned registration request information has been acquired (step S208: Yes), the registration request acquisition unit 215 extracts the pattern identification information included in the acquired registration request information and notifies the history notification unit 216. Then, the model generation unit 2221 identifies cooking history information associated with the pattern identification information notified from the registration request acquisition unit 215 from among the cooking history information stored in the history storage unit 231 (step S209). Next, the model generation unit 2221 estimates cooking settings corresponding to the cooking setting transition pattern using a combination of setting heat power information, heating part type information, measured temperature information, and elapsed time information included in each of the identified cooking history information. Generate cooking setting estimation model information indicating the model. Then, the model generation unit 2221 stores the generated cooking setting estimation model information in the model storage unit 2232 in association with the corresponding pattern identification information (step S2201). Next, the model transmitting unit 2222 selects cooking setting estimation model information corresponding to the pattern identification information notified from the registration request acquisition unit 215 from among the cooking setting estimation model information stored in the model storage unit 2232. The cooking setting estimation model information and the pattern identification information corresponding thereto are transmitted to the cooking appliance 2001 (step S2202). After that, the process of step S201 is executed again.

As described above, in the cooking system according to the present embodiment, cloud server 2002 generates cooking setting estimation model information and transmits the generated cooking setting estimation model information to cooking appliance 2001. This eliminates the need for the cooking appliance 2001 to have a function of generating cooking setting estimation model information from a plurality of pieces of cooking history information, which has the advantage of reducing the processing load on the cooking appliance 2001 accordingly.

Although the embodiments of the present disclosure have been described above, the present disclosure is not limited to the above-described embodiments. For example, as shown in FIG. 19, a plurality of cooking appliances 2001A and 2001B can communicate with a cloud server 2002 via a local network NW2 and a wide area network NW1, respectively, and transmit cooking setting estimation model information generated by the cloud server 2002. It may be something that can be shared by a plurality of cooking appliances 2001A and 2001B. Note that in FIG. 19, the same components as in Embodiment 1 are given the same reference numerals as in FIG. Terminal devices 5A and 5B are connected to the local network NW2 to which the cooking appliances 2001A and 2001B are connected, respectively. Further, the hardware configuration and functional configuration of the cooking appliances 2001A and 2001B and the cloud server 2002 according to this modification are similar to the hardware configuration and functional configuration of the cooking appliance 2001 and the cloud server 2002 described in Embodiment 2. . Further, the hardware configuration and functional configuration of the terminal devices 5A and 5B are similar to the hardware configuration and functional configuration of the terminal device 5 described in the first embodiment. Hereinafter, this modified example will be described using the symbols used in the description of Embodiments 1 and 2 as appropriate.

The operation of the cooking system according to this modification will be described with reference to FIG. 20. Note that in FIG. 19, the same processes as in Embodiment 1 are given the same reference numerals as in FIGS. 8, 9, and 11. First, a user registers cooking setting estimation model information corresponding to a cooking setting transition pattern selected from a plurality of cooking setting transition patterns using the input unit 505 of the terminal device 5A in the cooking appliance 2001A. Suppose you perform an operation. In this case, the terminal device 5A receives the model registration operation and generates registration request information as described above (step S9). Next, the generated registration request information is transmitted from the terminal device 5A to the cloud server 2002 (step S10). On the other hand, if the cloud server 2002 determines that there is no cooking setting estimation model information associated with the pattern identification information included in the acquired registration request information among the cooking setting estimation model information stored in the model storage unit 2232. (Step S3001). In this case, the cloud server 2002 identifies cooking history information associated with the pattern identification information included in the acquired registration request information from among the cooking history information stored in the history storage unit 231 (step S3002). Next, the cloud server 2002 uses a combination of setting heat power information, heating part type information, measured temperature information, and elapsed time information included in each of the identified cooking history information to create a cooking setting estimation model corresponding to the cooking setting transition pattern. Cooking setting estimation model information indicating the cooking setting estimation model information is generated (step S3003). Here, the cloud server 2002 stores the generated cooking setting estimation model information in the model storage unit 2232 in association with the corresponding pattern identification information. Thereafter, the cooking setting estimation model information and the corresponding pattern identification information stored in the model storage unit 2232 are transmitted from the cloud server 2002 to the cooking appliance 2001A (step S3004). On the other hand, upon acquiring the cooking setting estimation model information and the corresponding pattern identification information transmitted from the cloud server 2, the cooking appliance 2001A associates the obtained cooking setting estimation model information and pattern identification information with each other and creates a model. The information is stored in the storage unit 133 (step S3005).

Next, the user uses the input unit 505 of the terminal device 5B to register cooking setting estimation model information corresponding to the cooking setting transition pattern selected from among the plurality of cooking setting transition patterns into the cooking appliance 2001B. Assume that a registration operation is performed. In this case, the terminal device 5B receives the model registration operation and generates registration request information in the same manner as described above (step S3006). Subsequently, the generated registration request information is transmitted from the terminal device 5B to the cloud server 2002 (step S3007), while the cloud server 2002 acquires the information in the cooking setting estimation model information stored in the model storage unit 2232. Assume that it is determined that there is cooking setting estimation model information associated with the pattern identification information included in the registration request information (step S3008). In this case, the cloud server 2002 identifies cooking setting estimation model information associated with the pattern identification information included in the acquired registration request information (step S3009). Thereafter, the specified cooking setting estimation model information and the corresponding pattern identification information are transmitted from the cloud server 2002 to the cooking appliance 2001B (step S3010). On the other hand, upon acquiring the cooking setting estimation model information and the corresponding pattern identification information transmitted from the cloud server 2, the cooking appliance 2001B associates the obtained cooking setting estimation model information and pattern identification information with each other and creates a model. The information is stored in the storage unit 133 (step S3011). In this way, the same cooking setting estimation model information generated by the cloud server 2002 is registered in both the cooking appliances 2001A and 2001B.

According to this configuration, since it is possible to control the cooking appliances 2001A and 2001B using a common cooking setting estimation model among a plurality of users, for example, even if the user has no cooking experience, the cooking setting estimation model It becomes possible to control the cooking appliances 2001A and 2001B. Therefore, the user is able to appropriately perform a more variety of cooking, which increases convenience for the user.

In each of the embodiments, for example, as shown in FIG. 21(A), the heating setting storage unit 4131 stores setting heat power information in each time period after the start of cooking for each of the plurality of types of heating units 11, and stores elapsed time information. It may also be stored in association with. Then, as shown in FIG. 21(B), the temperature storage unit 4132 stores the measured temperature information in each time period after the start of cooking for each of the plurality of types of heating units 11 in association with the elapsed time information. It may be something. In this case, a cooking setting estimation model exists for each of the plurality of types of heating parts 11, and the setting fire power and measured temperature of the corresponding heating part 11 from the plurality of types of heating parts 11 after the start of cooking until the control update time are Only the set thermal power between the transition and the next control update time is estimated. The cooking setting estimating unit 118 then uses the cooking setting estimation model for each of the plurality of types of heating units 11 individually, from the transition of the set heat power and measured temperature from the start of cooking to the control update time to the next control update time. Estimate only the set firepower between. Further, the history storage unit 231 stores cooking history information separately for each of the plurality of types of heating units 11, and the model generation units 116 and 2221 separately generate cooking setting estimation model information for each of the plurality of types of heating units 11. generate.

According to this configuration, since cooking setting estimation model information is generated separately for each of the plurality of types of heating units 11, estimation errors due to differences in the types of heating units 11 can be reduced. Therefore, the set heat power of the cooking appliances 1 and 2001 up to the next control update time can be estimated with high accuracy.

In the cooking system according to the first embodiment, a plurality of cooking appliances 1 exist, and each of the plurality of cooking appliances 1 transmits cooking setting estimation model information stored in the model storage unit 133 to other cooking appliances 1. and a model acquisition unit that acquires cooking setting estimation model information transmitted from other cooking appliances 1 and causes the model storage unit 133 to store the acquired cooking setting estimation model information. In this case, the cooking setting estimating unit 118 is able to estimate the cooking settings using the cooking setting estimation model indicated by the cooking setting estimation model information transmitted from the acquired other cooking appliance 1.

In each embodiment, the terminal device 5 displays an operation screen image that displays the heating power, temperature, etc. of the heating section 11 of the cooking appliance 1 or 2001 in real time, or an operation screen image that displays the heating power, temperature, etc. The display unit 504 may display an operation screen image that displays a countdown of when the heat power will be changed. According to this configuration, there is an advantage that the user can easily grasp the progress of cooking in the cooking appliances 1 and 2001.

In each embodiment, the recommended pattern identifying unit 213 always identifies a plurality of cooking setting transition patterns based on the number of cooking history information belonging to each of the plurality of calculated cooking setting transition patterns, and the recommended pattern notifying unit 214 , pattern identification information of a plurality of cooking setting transition patterns identified by the recommended pattern identifying unit 213 may be transmitted to the terminal device 5. Then, the terminal device 5 forms and displays a registration operation screen image in order to newly register the plurality of recommended cooking setting transition patterns in the cooking appliance 1 based on the plurality of pattern identification information acquired from the cloud server 2. It may be displayed on the section 504. According to this configuration, the user can narrow down the number of cooking setting transition patterns for which cooking setting transition model information is to be registered in the cooking appliance 1 from among the plurality of recommended cooking setting transition patterns. Moreover, by increasing the number of classifications of cooking setting transition patterns, it becomes possible to classify cooking setting transition patterns more precisely. For example, when cooking "boiled eggs," the cooking setting transition pattern for so-called "hard-boiled" cooking and the cooking setting transition pattern for "soft-boiled" cooking are registered as separate cooking setting transition patterns in the operation screen image. It can be displayed. This makes it possible to accumulate cooking setting transition patterns finely adapted to the user's preferences in the menu on the operation screen image when cooking using the cooking setting estimation model.

Further, various functions of the cooking appliances 1, 2001, 2001A, and 2001B according to the present disclosure may be realized by software, firmware, or a combination of software and firmware. In this case, the software or firmware is written as a program, and the program is stored on a computer-readable disk such as a flexible disk, CD-ROM (Compact Disc Read Only Memory), DVD (Digital Versatile Disc), and MO (Magneto-Optical Disc). By storing and distributing the program in a recording medium, reading the program into the computer, and installing the program, a computer capable of realizing each of the above-mentioned functions may be configured. When each function is realized by sharing between an OS (Operating System) and an application, or by cooperation between the OS and an application, only the parts other than the OS may be stored in the recording medium.

Furthermore, it is also possible to superimpose each program on a carrier wave and distribute it via a network. For example, the program may be posted on a bulletin board (BBS, Bulletin Board System) on a network and distributed via the network. The above-described process may be executed by starting these programs and executing them under the control of the OS in the same way as other application programs.

Although the preferred embodiments have been described in detail above, they are not limited to the embodiments described above, and various modifications may be made to the embodiments described above without departing from the scope of the claims. Variations and substitutions can be made.

Hereinafter, various aspects of the present disclosure will be collectively described as supplementary notes.

(Additional note 1)
A cooking device having a heating section that heats an object to be cooked;
After the start of cooking, each time a control update time for updating the preset control content of the heating section arrives, when heating the object to be cooked by the heating section between the start of cooking and the control update time. a cooking setting estimating unit that estimates the cooking settings using a cooking setting estimation model that estimates the cooking settings from the transition of the cooking settings including the set heat power until the next control update time;
a heating control unit that controls the heating unit based on the estimated cooking settings;
a model generation unit that generates cooking setting estimation model information indicating the cooking setting estimation model based on cooking history information including a history of changes in the cooking settings from the start of cooking to the end of cooking in the past;
cooking system.
(Additional note 2)
a classification unit that classifies a plurality of pieces of cooking history information indicating a history of the cooking settings from the start of cooking to the end of cooking within a past preset period into a plurality of cooking setting transition patterns;
further comprising: a recommended pattern identifying unit that identifies a cooking setting transition pattern that recommends generation of the cooking setting estimation model to the user based on the number of the cooking history information belonging to each of the plurality of cooking setting transition patterns; Prepare,
The model generation unit generates cooking setting estimation model information indicating the cooking setting estimation model based on the cooking setting history indicated by the plurality of cooking history information belonging to the identified cooking setting transition pattern.
The cooking system described in Appendix 1.
(Additional note 3)
an input section;
When the user performs a pattern selection operation on the input section to select one cooking setting transition pattern from among the plurality of cooking setting transition patterns, the selected cooking setting is selected based on the content of the pattern selection operation. further comprising: a command unit that generates command information that instructs to estimate the cooking settings using the cooking settings estimation model corresponding to the transition pattern;
The cooking system described in Appendix 2.
(Additional note 4)
a terminal device having an input section;
an operation section provided on the cooking device;
When the user performs a setting change operation on the input section to change the cooking settings, or when the user performs a setting change operation on the operation section to change the cooking settings. a cooking setting changing unit that changes the cooking settings based on the contents of the setting changing operation if the setting changing operation is performed;
A model updating unit that updates cooking setting transition model information indicating the cooking setting estimation model based on the changed cooking settings when the cooking settings are changed between the start of cooking and the end of cooking. prepare,
The cooking system according to any one of Supplementary Notes 1 to 3.
(Appendix 5)
a voice input device that generates voice information indicating the voice when voice is input;
a voice analysis unit that analyzes the voice information and determines whether the voice information indicates a command to change the cooking settings;
a cooking settings changing unit that changes the cooking settings based on the audio information when it is determined that the audio information indicates an instruction to change the cooking settings;
A model updating unit that updates cooking setting transition model information indicating the cooking setting estimation model based on the changed cooking settings when the cooking settings are changed between the start of cooking and the end of cooking. prepare,
The cooking system according to any one of Supplementary Notes 1 to 4.
(Appendix 6)
a voice input device that generates voice information indicating the voice when voice is input;
a voice analysis unit that analyzes the voice information and determines whether the voice information indicates selection of one cooking setting transition pattern from the plurality of cooking setting transition patterns;
When it is determined that the voice information indicates that one cooking setting transition pattern is to be selected from among the plurality of cooking setting transition patterns, the voice information corresponds to the selected cooking setting transition pattern based on the voice information. Further comprising: a command unit that generates command information that instructs to estimate the cooking settings using the cooking settings estimation model;
The cooking system described in Appendix 2.
(Appendix 7)
There is a plurality of cooking appliances,
Each of the plurality of cooking appliances includes:
a model transmitter that transmits cooking setting estimation model information indicating the cooking setting estimation model to other cooking appliances;
a model acquisition unit that acquires the cooking setting estimation model information transmitted from another of the cooking appliances;
The cooking setting estimating unit estimates the cooking settings using a cooking setting estimation model indicated by the cooking setting estimation model information transmitted from the obtained other cooking appliance.
The cooking system according to any one of Supplementary Notes 1 to 6.
(Appendix 8)
a model storage unit that can communicate with the cooking appliance and stores cooking setting estimation model information indicating the cooking setting estimation model; and a model that transmits the cooking setting estimation model information stored in the model storage unit to the cooking appliance. further comprising a server having a transmitting unit;
The cooking setting estimation unit estimates the cooking settings using a cooking setting estimation model indicated by the cooking setting estimation model information acquired by the cooking appliance from the server.
The cooking system according to any one of Supplementary Notes 1 to 6.
(Appendix 9)
A plurality of the heating parts exist,
The cooking setting estimation model exists separately for each of the plurality of heating units,
The cooking system according to any one of Supplementary Notes 1 to 8.
(Appendix 10)
a heating section that heats the object to be cooked;
After the start of cooking, each time a control update time for updating the preset control content of the heating section arrives, when heating the object to be cooked by the heating section between the start of cooking and the control update time. a cooking setting estimating unit that estimates the cooking settings using a cooking setting estimation model that estimates the cooking settings from the transition of the cooking settings including the set heat power until the next control update time;
a heating control unit that controls the heating unit based on the estimated cooking settings;
a model generation unit that generates cooking setting estimation model information indicating the cooking setting estimation model based on cooking history information including a history of changes in the cooking settings from the start of cooking to the end of cooking in the past;
cooking equipment.
(Appendix 11)
After the start of cooking of the object to be cooked, each time a control update time for updating the preset control contents of the heating unit that heats the object to be cooked comes, the heating is performed between the start of cooking and the control update time. The cooking settings are estimated by using a cooking settings estimation model that estimates the cooking settings from the transition of the cooking settings including the set heat power when heating the object to be cooked by the section to the next control update time. a step of estimating;
controlling the heating section based on the estimated cooking settings;
generating cooking setting estimation model information indicating the cooking setting estimation model based on cooking history information including a history of changes in the cooking settings from the start of cooking to the end of cooking in the past;
Cooking appliance control method.
(Appendix 12)
computer,
After the start of cooking of the object to be cooked, each time a control update time for updating the preset control contents of the heating unit that heats the object to be cooked comes, the heating is performed between the start of cooking and the control update time. The cooking settings are estimated by using a cooking settings estimation model that estimates the cooking settings from the transition of the cooking settings including the set heat power when heating the object to be cooked by the section to the next control update time. a cooking setting estimator for estimating;
a heating control unit that controls the heating unit based on the estimated cooking settings;
a model generation unit that generates cooking setting estimation model information indicating the cooking setting estimation model based on cooking history information including a history of changes in the cooking settings from the start of cooking to the end of cooking in the past;
A program to function as

The present disclosure is suitable as a cooking system having a function of assisting a user in setting up cooking equipment when cooking.

1, 2001, 2001A, 2001B Cooking equipment, 2, 2002 Cloud server, 5, 5A, 5B Terminal device, 7 Voice input device, 11 Heating section, 12 Heating drive section, 17 Operation section, 18 Temperature sensor, 81 Data line termination device, 82 router, 100,2100 control unit, 101,201,501 CPU, 102,202,502 main storage section, 103,203,503 auxiliary storage section, 104 neuroengine, 106,506 local notification section, 107 interface, 108 Time measurement unit, 109, 209 Bus, 111, 513 Reception unit, 112 Cooking setting change unit, 113 Heating control unit, 114, 216 History notification unit, 115, 211 History acquisition unit, 116, 2221 Model generation unit, 117 Command acquisition part, 118 cooking setting estimation part, 119 model updating part, 120 temperature acquisition part, 131 cooking setting storage part, 132 temperature storage part, 133, 2232 model storage part, 212 classification part, 213 recommended pattern identification part, 214 recommended pattern notification unit, 215 registration request acquisition unit, 217 voice information acquisition unit, 218 voice analysis unit, 219, 514 command unit, 220 command acquisition unit, 504 display unit, 505 input unit, 511 image forming unit, 512 display control unit, 515 registration Request unit, 516 Recommended pattern acquisition unit, 517 Pattern name selection unit, 518 Name setting unit, 2121 Model acquisition unit, 2222 Model transmission unit, BU11, BU12, BU21, BU22, BU23, BU24 Button image, GA1, GA2 Operation screen image , IC1 icon image, M11, M12, M13, M14 message image, L110 input layer, L120 hidden layer, L130 output layer, NW1 wide area network, NW2 local network

Claims (12)

A cooking device having a heating section that heats an object to be cooked;
After the start of cooking, each time a control update time for updating the preset control content of the heating section arrives, when heating the object to be cooked by the heating section between the start of cooking and the control update time. a cooking setting estimating unit that estimates the cooking settings using a cooking setting estimation model that estimates the cooking settings from the transition of the cooking settings including the set heat power until the next control update time;
a heating control unit that controls the heating unit based on the estimated cooking settings;
a model generation unit that generates cooking setting estimation model information indicating the cooking setting estimation model based on cooking history information including a history of changes in the cooking settings from the start of cooking to the end of cooking in the past;
cooking system. a classification unit that classifies a plurality of pieces of cooking history information indicating a history of the cooking settings from the start of cooking to the end of cooking within a past preset period into a plurality of cooking setting transition patterns;
further comprising: a recommended pattern identifying unit that identifies a cooking setting transition pattern that recommends generation of the cooking setting estimation model to the user based on the number of the cooking history information belonging to each of the plurality of cooking setting transition patterns; Prepare,
The model generation unit generates cooking setting estimation model information indicating the cooking setting estimation model based on the cooking setting history indicated by the plurality of cooking history information belonging to the identified cooking setting transition pattern.
A cooking system according to claim 1. an input section;
When the user performs a pattern selection operation on the input section to select one cooking setting transition pattern from among the plurality of cooking setting transition patterns, the selected cooking setting is selected based on the content of the pattern selection operation. further comprising: a command unit that generates command information that instructs to estimate the cooking settings using the cooking settings estimation model corresponding to the transition pattern;
The cooking system according to claim 2. a terminal device having an input section;
an operation section provided on the cooking device;
When the user performs a setting change operation on the input section to change the cooking settings, or when the user performs a setting change operation on the operation section to change the cooking settings. a cooking setting changing unit that changes the cooking settings based on the contents of the setting changing operation if the setting changing operation is performed;
A model updating unit that updates cooking setting transition model information indicating the cooking setting estimation model based on the changed cooking settings when the cooking settings are changed between the start of cooking and the end of cooking. prepare,
A cooking system according to any one of claims 1 to 3. a voice input device that generates voice information indicating the voice when voice is input;
a voice analysis unit that analyzes the voice information and determines whether the voice information indicates a command to change the cooking settings;
a cooking settings changing unit that changes the cooking settings based on the audio information when it is determined that the audio information indicates an instruction to change the cooking settings;
A model updating unit that updates cooking setting transition model information indicating the cooking setting estimation model based on the changed cooking settings when the cooking settings are changed between the start of cooking and the end of cooking. prepare,
A cooking system according to any one of claims 1 to 3. a voice input device that generates voice information indicating the voice when voice is input;
a voice analysis unit that analyzes the voice information and determines whether the voice information indicates selection of one cooking setting transition pattern from the plurality of cooking setting transition patterns;
When it is determined that the voice information indicates that one cooking setting transition pattern is to be selected from among the plurality of cooking setting transition patterns, the voice information corresponds to the selected cooking setting transition pattern based on the voice information. Further comprising: a command unit that generates command information that instructs to estimate the cooking settings using the cooking settings estimation model;
The cooking system according to claim 2. There is a plurality of cooking appliances,
Each of the plurality of cooking appliances includes:
a model transmitter that transmits cooking setting estimation model information indicating the cooking setting estimation model to other cooking appliances;
a model acquisition unit that acquires the cooking setting estimation model information transmitted from another of the cooking appliances,
The cooking setting estimating unit estimates the cooking settings using a cooking setting estimation model indicated by the cooking setting estimation model information transmitted from the obtained other cooking appliance.
A cooking system according to any one of claims 1 to 3. a model storage unit that can communicate with the cooking appliance and stores cooking setting estimation model information indicating the cooking setting estimation model; and a model that transmits the cooking setting estimation model information stored in the model storage unit to the cooking appliance. further comprising a server having a transmitting unit;
The cooking setting estimation unit estimates the cooking settings using a cooking setting estimation model indicated by the cooking setting estimation model information acquired by the cooking appliance from the server.
A cooking system according to any one of claims 1 to 3. A plurality of the heating parts exist,
The cooking setting estimation model exists separately for each of the plurality of heating units,
A cooking system according to any one of claims 1 to 3. a heating section that heats the object to be cooked;
After the start of cooking, each time a control update time for updating the preset control content of the heating section arrives, when heating the object to be cooked by the heating section between the start of cooking and the control update time. a cooking setting estimating unit that estimates the cooking settings using a cooking setting estimation model that estimates the cooking settings from the transition of the cooking settings including the set heat power until the next control update time;
a heating control unit that controls the heating unit based on the estimated cooking settings;
a model generation unit that generates cooking setting estimation model information indicating the cooking setting estimation model based on cooking history information including a history of changes in the cooking settings from the start of cooking to the end of cooking in the past;
cooking equipment. After the start of cooking of the object to be cooked, each time a control update time for updating the preset control contents of the heating unit that heats the object to be cooked comes, the heating is performed between the start of cooking and the control update time. The cooking settings are estimated by using a cooking settings estimation model that estimates the cooking settings from the transition of the cooking settings including the set heat power when heating the object to be cooked by the section to the next control update time. a step of estimating;
controlling the heating section based on the estimated cooking settings;
generating cooking setting estimation model information indicating the cooking setting estimation model based on cooking history information including a history of changes in the cooking settings from the start of cooking to the end of cooking in the past;
Cooking appliance control method. computer,
After the start of cooking of the object to be cooked, each time a control update time for updating the preset control contents of the heating unit that heats the object to be cooked comes, the heating is performed between the start of cooking and the control update time. The cooking settings are estimated by using a cooking settings estimation model that estimates the cooking settings from the transition of the cooking settings including the set heat power when heating the object to be cooked by the section to the next control update time. a cooking setting estimator for estimating;
a heating control unit that controls the heating unit based on the estimated cooking settings;
a model generation unit that generates cooking setting estimation model information indicating the cooking setting estimation model based on cooking history information including a history of changes in the cooking settings from the start of cooking to the end of cooking in the past;
A program to function as

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