WO2022166687A1 - 智能冰箱的控制方法及装置、智能冰箱 - Google Patents

智能冰箱的控制方法及装置、智能冰箱 Download PDF

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Publication number
WO2022166687A1
WO2022166687A1 PCT/CN2022/073776 CN2022073776W WO2022166687A1 WO 2022166687 A1 WO2022166687 A1 WO 2022166687A1 CN 2022073776 W CN2022073776 W CN 2022073776W WO 2022166687 A1 WO2022166687 A1 WO 2022166687A1
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Prior art keywords
smart refrigerator
target
return time
perform
user
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PCT/CN2022/073776
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English (en)
French (fr)
Inventor
傅峰峰
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广州富港万嘉智能科技有限公司
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Publication of WO2022166687A1 publication Critical patent/WO2022166687A1/zh

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    • F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F25—REFRIGERATION OR COOLING; COMBINED HEATING AND REFRIGERATION SYSTEMS; HEAT PUMP SYSTEMS; MANUFACTURE OR STORAGE OF ICE; LIQUEFACTION SOLIDIFICATION OF GASES
    • F25D—REFRIGERATORS; COLD ROOMS; ICE-BOXES; COOLING OR FREEZING APPARATUS NOT OTHERWISE PROVIDED FOR
    • F25D11/00—Self-contained movable devices, e.g. domestic refrigerators
    • F25D11/02—Self-contained movable devices, e.g. domestic refrigerators with cooling compartments at different temperatures
    • F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F25—REFRIGERATION OR COOLING; COMBINED HEATING AND REFRIGERATION SYSTEMS; HEAT PUMP SYSTEMS; MANUFACTURE OR STORAGE OF ICE; LIQUEFACTION SOLIDIFICATION OF GASES
    • F25D—REFRIGERATORS; COLD ROOMS; ICE-BOXES; COOLING OR FREEZING APPARATUS NOT OTHERWISE PROVIDED FOR
    • F25D29/00—Arrangement or mounting of control or safety devices
    • F25D29/005—Mounting of control devices
    • F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F25—REFRIGERATION OR COOLING; COMBINED HEATING AND REFRIGERATION SYSTEMS; HEAT PUMP SYSTEMS; MANUFACTURE OR STORAGE OF ICE; LIQUEFACTION SOLIDIFICATION OF GASES
    • F25D—REFRIGERATORS; COLD ROOMS; ICE-BOXES; COOLING OR FREEZING APPARATUS NOT OTHERWISE PROVIDED FOR
    • F25D2500/00—Problems to be solved
    • F25D2500/06—Stock management
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
    • Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
    • Y02P90/02—Total factory control, e.g. smart factories, flexible manufacturing systems [FMS] or integrated manufacturing systems [IMS]

Definitions

  • the invention relates to the technical field of intelligent control, in particular to a control method and device of an intelligent refrigerator, and an intelligent refrigerator.
  • intelligent control of smart refrigerators can also be performed based on machine learning. Behavior and control the smart refrigerator to perform matching operations according to the predicted behavior, wherein the refrigerator behavior prediction model is obtained by training the machine learning algorithm according to the operation data of the smart refrigerator at various historical time points. It can be seen that the intelligent control method of the current smart refrigerator is relatively simple.
  • the invention provides a control method and device for an intelligent refrigerator, and an intelligent refrigerator, which can enrich the intelligent control mode of the intelligent refrigerator and improve the control flexibility of the intelligent refrigerator.
  • a first aspect of the present invention discloses a control method for an intelligent refrigerator, the method comprising:
  • the method further includes:
  • controlling the smart refrigerator to perform a preprocessing operation corresponding to the target operation according to the predetermined target operation that the target user needs to perform after the return time and is associated with the smart refrigerator includes: :
  • the smart refrigerator is controlled to perform a preprocessing operation that matches the ingredient information.
  • the control is performed according to the predetermined cooking operation that the target user needs to perform after the return time and is associated with the smart refrigerator.
  • the smart refrigerator performs preprocessing operations that match the ingredient information, including:
  • the cooking type being an automatic cooking type or a manual cooking type
  • the smart refrigerator is controlled to perform a preprocessing operation matching the ingredient information according to the cooking type.
  • the controlling the smart refrigerator to perform a preprocessing operation matching the ingredient information according to the cooking type includes:
  • the smart refrigerator is controlled to perform a storage space adjustment operation for the target ingredient, so as to adjust the storage space of the target ingredient to the position for taking out the ingredient corresponding to the smart refrigerator , and control the associated manipulator or intelligent AGV to take out the target food material from the food material take-out position;
  • the smart refrigerator is controlled to perform a storage space adjustment operation for the target ingredient, so as to adjust the storage space of the target ingredient to the position for taking out the ingredient corresponding to the smart refrigerator .
  • the method further includes:
  • the method further includes:
  • the operation of judging whether the interval duration between the current time and the return time is less than or equal to a preset time duration threshold is performed;
  • the return time is adjusted according to the information content corresponding to the time keyword, and the judging whether the interval between the current time and the return time is less than or equal to a preset time length threshold is performed. operation.
  • a second aspect of the present invention discloses a smart refrigerator, which is used for performing some or all of the steps in the control method for the smart refrigerator disclosed in the first aspect of the present invention.
  • a third aspect of the present invention discloses a control device for an intelligent refrigerator, the device comprising:
  • the prediction module is used to predict the return time of the target user according to the pre-trained user travel habit model
  • a judgment module for judging whether the interval duration between the current moment and the return moment is less than or equal to a preset duration threshold
  • a control module configured to, when the judging module judges that the interval duration is less than or equal to the preset duration threshold, according to the predetermined actions that the target user needs to perform after the return time and are related to the smart refrigerator
  • the target operation associated with the target operation is controlled, and the smart refrigerator is controlled to perform the preprocessing operation corresponding to the target operation.
  • the device further includes:
  • the first detection module is used to detect whether the target user or an associated user in the user group to which the target user belongs has triggered an appointment after the prediction module predicts the return time of the target user according to the pre-trained user travel habit model cooking operations;
  • a determining module configured to determine ingredient information of target ingredients required for the scheduled cooking operation when the first detection module detects that the scheduled cooking operation is triggered;
  • control module controls the smart refrigerator to perform the preprocessing operation corresponding to the target operation according to the predetermined target operation that the target user needs to perform after the return time and is associated with the smart refrigerator
  • the specific way is:
  • the smart refrigerator is controlled to perform a preprocessing operation that matches the ingredient information.
  • the control module is associated with the smart refrigerator.
  • the specific way of controlling the smart refrigerator to perform the preprocessing operation matching the food material information is as follows:
  • the cooking type being an automatic cooking type or a manual cooking type
  • the smart refrigerator is controlled to perform a preprocessing operation matching the ingredient information according to the cooking type.
  • the specific manner in which the control module controls the smart refrigerator to perform a preprocessing operation matching the ingredient information according to the cooking type is:
  • controlling the smart refrigerator to perform a storage space adjustment operation for the target ingredient to adjust the storage space of the target ingredient to a position for taking out the ingredient corresponding to the smart refrigerator, and control the associated manipulator or intelligent AGV to take out the target food material from the food material take-out position;
  • the smart refrigerator is controlled to perform a storage space adjustment operation for the target ingredient, so as to adjust the storage space of the target ingredient to the position for taking out the ingredient corresponding to the smart refrigerator .
  • the prediction module is further configured to predict the return time of the target user according to the pre-trained user travel habit model, based on the user behavior habit model The target operation associated with the smart refrigerator that the target user needs to perform after the return time is predicted.
  • the device further includes:
  • the second detection module is configured to detect whether there is schedule information of the target user on the current date after the prediction module predicts the return time of the target user according to the pre-trained user travel habit model;
  • an extraction module configured to extract time keywords in the schedule information when the detection result of the second detection module is yes;
  • the judgment module is further configured to judge whether the return time needs to be adjusted according to the time keyword; when the judgment module judges that the return time does not need to be adjusted, execute the judgment that the current time is far from the return time. The operation of whether the interval duration of the time is less than or equal to the preset duration threshold;
  • An adjustment module configured to adjust the return time according to the information content corresponding to the time keyword when the judgment module judges that the return time needs to be adjusted, and trigger the judgment module to execute the judgment of the distance between the current time The operation of whether the interval duration of the return time is less than or equal to the preset duration threshold.
  • a fourth aspect of the present invention discloses another control device for an intelligent refrigerator, the device comprising:
  • a processor coupled to the memory
  • the processor invokes the executable program code stored in the memory to execute part or all of the steps in the control method for the smart refrigerator disclosed in the first aspect of the present invention.
  • a fifth aspect of the present invention discloses a computer storage medium.
  • the computer storage medium stores computer instructions, and when the computer instructions are invoked, part or all of the control method for a smart refrigerator disclosed in the first aspect of the present invention is used. step.
  • the return time of the target user is predicted according to the pre-trained user travel habit model; it is determined whether the interval duration between the current moment and the predicted return time is less than or equal to a preset duration threshold; when it is determined that the interval duration is less than or equal to
  • the smart refrigerator is controlled to perform the preprocessing operation corresponding to the target operation according to the predetermined target operation that the target user needs to perform after the return time and is associated with the smart refrigerator.
  • the present invention can intelligently control the smart refrigerator to perform corresponding preprocessing operations in advance according to the predicted user return time and the determined target operation that the user needs to perform after the return time and is associated with the smart refrigerator.
  • the intelligent control method of the smart refrigerator is improved, the control flexibility of the smart refrigerator is improved, and the user experience is improved.
  • FIG. 1 is a schematic flowchart of a control method for a smart refrigerator disclosed in an embodiment of the present invention
  • FIG. 2 is a schematic flowchart of another method for controlling a smart refrigerator disclosed in an embodiment of the present invention
  • FIG. 3 is a schematic structural diagram of a control device for a smart refrigerator disclosed in an embodiment of the present invention.
  • FIG. 4 is a schematic structural diagram of a control device for another smart refrigerator disclosed in an embodiment of the present invention.
  • FIG. 5 is a schematic structural diagram of another control device for a smart refrigerator disclosed in an embodiment of the present invention.
  • FIG. 6 is a schematic structural diagram of another control device for a smart refrigerator disclosed in an embodiment of the present invention.
  • the invention discloses a control method and device for a smart refrigerator, and the smart refrigerator, which can be intelligently controlled according to the predicted return time of the user and the determined target operation that the user needs to perform after the return time and is associated with the smart refrigerator.
  • the control smart refrigerator performs corresponding preprocessing operations in advance, which enriches the intelligent control mode of the smart refrigerator and improves the control flexibility of the smart refrigerator.
  • FIG. 1 is a schematic flowchart of a control method for a smart refrigerator disclosed in an embodiment of the present invention.
  • the method described in 1 can be applied to a control device of a smart refrigerator.
  • the control device can exist independently of the smart refrigerator, or can be integrated in the smart refrigerator as a part of the smart refrigerator, which is not limited in the embodiment of the present invention.
  • the control method of the smart refrigerator may include the following operations:
  • the control device predicts the return time of the target user according to the pre-trained user travel habit model.
  • the control device may construct an initial user travel habit model, and based on the collected at least one user's all outing moments and all returning moments of each user within a target time period (such as one month), the initial construction
  • the trained user travel habit model is trained, and the trained user travel habit model is obtained.
  • the user travel habit model is at least used to predict the return time of the corresponding user, and further, can also predict a series of operations performed by the corresponding user after different return times.
  • the control device may first obtain the user ID of the target user, obtain the prediction parameter corresponding to the target user according to the user ID of the target user, and input the prediction parameter into the corresponding User travel habit model, obtain the output result corresponding to the user travel habit model, and predict the return time of the target user according to the output result corresponding to the user travel habit model.
  • the prediction parameter corresponding to the target user may include at least the user ID of the target user, and may further include the date type corresponding to the current date, the time when the target user went out on the current date, the attribute information of the target user, and the target user's current date. A combination of one or more of the travel vehicles, etc.
  • the date type corresponding to the current date may be a working day type or a holiday type, and the attribute information of the target user is used to represent the social attribute of the target user, such as housewives, retired workers (such as the elderly), office workers or students.
  • the user travel habit model may be based on a family, and a family may have a user travel habit model corresponding to it.
  • the control device may determine the return time closest to the current time among the multiple return times as the final predicted return time, and may also obtain and match the return time.
  • the auxiliary predictor corresponding to the target user selects a certain return time corresponding to the auxiliary predictor from the plurality of return times as the final predicted return time.
  • the auxiliary predictor corresponding to the target user may include a special identifier corresponding to the current date, such as a holiday identifier, an anniversary identifier, a birthday identifier, or an appointment identifier.
  • the control device determines whether the interval duration between the current moment and the return moment is less than or equal to a preset duration threshold. When the judgment result of step 102 is yes, the execution of step 103 is triggered; when the judgment result of step 102 is no, the execution of the triggering can be continued. Step 102.
  • step 102 when the determination result of step 102 is NO, the execution of step 102 may be triggered after the target interval duration starts from the moment when the determination result of step 102 is NO. It should be further noted that, the target interval duration before step 102 is re-triggered each time may be the same or different. When the target interval duration before step 102 is re-triggered each time, it can be dynamically determined according to the interval duration between the current moment and the return moment, and the longer the interval duration between the current moment and the return moment, the longer the target interval duration; The shorter the interval between the current moment and the return moment, the shorter the target interval, which is beneficial to reduce the number of judgments.
  • the control device controls the smart refrigerator to perform the target operation corresponding to the target operation according to the predetermined target operation that the target user needs to perform after the return time and is associated with the smart refrigerator. Preprocessing operations.
  • the control device can determine the target operation associated with the smart refrigerator that the target user needs to perform after the return time according to a preset determination method.
  • the target operations associated with the smart refrigerator may include access operations related to items (such as cooking operations, beverage retrieval operations, etc.) and/or other processing operations related to items (such as freezing operations, defrosting operations, etc.).
  • the control device will You can control the smart refrigerator to thaw the meat products needed for cooking braised pork.
  • the method may further include the following operations:
  • the control device detects whether the target user or an associated user in the user group to which the target user belongs has triggered the reserved cooking operation
  • the control device determines the ingredient information of the target ingredient required for the scheduled cooking operation.
  • control device controls the smart refrigerator to perform the preprocessing operation corresponding to the target operation according to the predetermined target operation that the target user needs to perform after the return time and is associated with the smart refrigerator, which may include :
  • the control device controls the smart refrigerator to perform a preprocessing operation matching the ingredient information according to the predetermined cooking operation that the target user needs to perform after the return time and is associated with the smart refrigerator.
  • the preprocessing operation that matches the ingredient information can be a thawing operation;
  • the preprocessing operation that matches the ingredient information may be a de-boxing operation.
  • this optional embodiment can intelligently control the smart refrigerator to perform a preprocessing operation that matches the information of the ingredients when the determined target operation is an operation related to cooking, thereby realizing personalized preprocessing for different ingredients.
  • the processing operation can also improve the reliability and accuracy of the preprocessing operation performed according to the food material information.
  • control device controls the smart refrigerator to perform matching with the ingredient information according to the predetermined cooking operation that the target user needs to perform after the return time and is associated with the smart refrigerator
  • the preprocessing operations can include:
  • the control device analyzes the cooking type corresponding to the cooking operation associated with the smart refrigerator to be performed by the predetermined target user after the return time, and the cooking type is an automatic cooking type or a manual cooking type;
  • the control device controls the smart refrigerator to perform a preprocessing operation that matches the food material information according to the cooking type.
  • this optional embodiment can also intelligently control the smart refrigerator to perform preprocessing operations matching the ingredient information according to the cooking type, which is beneficial to further improve the matching degree between the preprocessing operations performed by controlling the smart refrigerator and the actual needs of users.
  • control device controls the smart refrigerator to perform a preprocessing operation matching the ingredient information according to the cooking type, which may include:
  • the control device determines the storage space of the target ingredient in the smart refrigerator according to the ingredient information
  • the control device controls the smart refrigerator to perform a storage space adjustment operation for the target ingredient to adjust the storage space of the target ingredient to the position for taking out the ingredient corresponding to the smart refrigerator, and controls the associated manipulator or smart AGV to remove the ingredients from the ingredients. Take out the target ingredients from the take-out position;
  • the control device controls the smart refrigerator to perform a storage space adjustment operation for the target ingredient, so as to adjust the storage space of the target ingredient to the ingredient take-out position corresponding to the smart refrigerator.
  • this optional embodiment can provide different preprocessing methods for different cooking types, realize individualized control methods for the smart refrigerator under different cooking types, and help improve the cooking efficiency of actual cooking.
  • the user group to which the target user belongs may specifically be a family member group.
  • the control device may further perform the following operations:
  • the control device determines the user identity of the target user, and determines whether the user identity of the target user is a preset user identity, and if so, executes the above-mentioned operation of determining the ingredient information of the target ingredient required for the reservation cooking operation.
  • the preset user identity is specifically used to represent the identity corresponding to the user with the cooking authority.
  • the user identity of the target user is a primary and secondary school student or an elderly person, it is determined that the user identity of the target user is not the default user identity; if the target user is a parent user, the user identity of the target user is determined to be the default user identity. .
  • this optional embodiment can further improve the reliability and accuracy of performing the preprocessing operation by judging whether the returning user has cooking authority when the operation to be performed after the user returns is a cooking operation.
  • the method may further include the following operations:
  • the control device predicts the target operation associated with the smart refrigerator that the target user needs to perform after the return time based on the user behavior habit model.
  • the user behavior habit model can also be used to predict the relevant operations that the user needs to perform after the return time.
  • control device can control the smart refrigerator in advance to adjust the beverage that the user needs to reference to a position that is convenient for the user to take out, which is conducive to improving The efficiency with which the user takes out the beverage.
  • this optional embodiment can also intelligently predict the operations related to the smart refrigerator that the user needs to perform after the return time according to the pre-trained user behavior habit model, which is beneficial to improve the accuracy of the determined operations.
  • the performance and efficiency are improved, and the accuracy of controlling the smart refrigerator to perform the corresponding preprocessing operation is improved, and the reliability of the intelligent control of the smart refrigerator is improved.
  • the method described in the embodiment of the present invention can intelligently control the smart refrigerator to perform corresponding operations in advance according to the predicted user return time and the determined target operation that the user needs to perform after the return time and is associated with the smart refrigerator.
  • the preprocessing operation of the smart refrigerator enriches the intelligent control mode of the smart refrigerator, improves the control flexibility of the smart refrigerator, and is conducive to improving the user experience.
  • it can also provide a variety of determination methods for determining the target operation related to the smart refrigerator that the user needs to perform after the return time.
  • the control method of intelligently controlling the smart refrigerator is further beneficial to further improve the user experience.
  • FIG. 2 is a schematic flowchart of another method for controlling a smart refrigerator disclosed in an embodiment of the present invention.
  • the method described in 2 can be applied to a control device of a smart refrigerator.
  • the control device can exist independently of the smart refrigerator, or can be integrated in the smart refrigerator as a part of the smart refrigerator, which is not limited in the embodiment of the present invention.
  • the control method of the smart refrigerator may include the following operations:
  • the control device predicts the return time of the target user according to the pre-trained user travel habit model.
  • the control device detects whether there is the schedule information of the target user on the current date. When the judgment result of step 202 is yes, the execution of step 203 is triggered; when the judgment result of step 202 is NO, the execution of step 206 is triggered.
  • the control device extracts time keywords in the schedule information.
  • the control device determines whether the return time needs to be adjusted according to the time keyword. When the determination result in step 204 is yes, the execution of step 205 is triggered; when the determination result in step 204 is negative, the execution of step 206 is triggered.
  • control device determines whether the return time needs to be adjusted according to the time keyword, which may include:
  • the control device determines the estimated return time of the target user according to the time keyword, calculates the time difference between the estimated return time and the return time in step 201, and judges whether the time difference is greater than or equal to the preset time difference threshold, if so, Then it is determined that the return time in step 201 needs to be adjusted, if not, it is determined that the return time in step 201 does not need to be adjusted.
  • the control device adjusts the return time according to the information content corresponding to the time keyword.
  • the information content corresponding to the time keyword may be one or a combination of a specific time, a weather condition corresponding to a specific time, a traffic congestion situation corresponding to a specific time, a specific event, a specific location, a vehicle, and the like.
  • the control device determines whether the interval duration between the current moment and the return moment is less than or equal to a preset duration threshold.
  • the control device controls the smart refrigerator to perform the target operation corresponding to the target operation according to the predetermined target operation that the target user needs to perform after the return time and is associated with the smart refrigerator. Preprocessing operations.
  • control device predicts that the parent will come home at 18:00 after get off work through the user travel habit model. "The estimated return time determined is 19:30. Assuming that the preset time difference threshold is 30 minutes, the control device adjusts the predicted return time from 18:00 to 19:30.
  • the method described in the embodiment of the present invention intelligently controls the smart refrigerator to perform corresponding operations in advance according to the predicted user return time and the determined target operation that the user needs to perform after the return time and is associated with the smart refrigerator.
  • the preprocessing operation enriches the intelligent control mode of the smart refrigerator, improves the control flexibility of the smart refrigerator, and is conducive to improving the user experience.
  • after predicting the user's return time according to the user's travel habit model it can also intelligently adjust the return time according to the user's schedule information, which is beneficial to improve the reliability and accuracy of controlling the smart refrigerator to perform preprocessing operations. Reduce the occurrence of the situation that the preprocessing operation performed by the smart refrigerator is controlled to be too early or too late to match the actual demand of the user.
  • FIG. 3 is a schematic structural diagram of a control device for a smart refrigerator disclosed in an embodiment of the present invention.
  • the device described in 3 is used to realize intelligent control of the smart refrigerator, which can exist independently of the smart refrigerator, or can be integrated in the smart refrigerator as a part of the smart refrigerator, which is not limited in the embodiment of the present invention.
  • the apparatus may include:
  • the prediction module 301 is configured to predict the return time of the target user according to the pre-trained user travel habit model.
  • the judgment module 302 is used for judging whether the interval duration between the current moment and the return moment is less than or equal to a preset duration threshold.
  • the control module 303 is used to control the smart refrigerator according to the predetermined target operation that the target user needs to perform after the return time and is associated with the smart refrigerator when the judging module 302 determines that the interval duration is less than or equal to the preset duration threshold. Execute the preprocessing operation corresponding to the target operation.
  • implementing the device described in FIG. 3 can intelligently control the smart refrigerator to perform the corresponding operation in advance according to the predicted user return time and the determined target operation that the user needs to perform after the return time and is associated with the smart refrigerator.
  • the preprocessing operation enriches the intelligent control mode of the smart refrigerator, improves the control flexibility of the smart refrigerator, and is conducive to improving the user experience.
  • the apparatus may further include:
  • the first detection module 304 is configured to detect whether the target user or a related user in the user group to which the target user belongs triggers a cooking reservation operation after the prediction module 301 predicts the return time of the target user according to the pre-trained user travel habit model.
  • the first detection module 304 may be triggered to start.
  • the determination module 305 is configured to determine the ingredient information of the target ingredient required for the scheduled cooking operation when the first detection module 304 detects that the scheduled cooking operation is triggered.
  • control module 303 controls the smart refrigerator to perform the preprocessing operation corresponding to the target operation according to the predetermined target operation that the target user needs to perform after the return time and is associated with the smart refrigerator:
  • the smart refrigerator is controlled to perform preprocessing operations that match the ingredient information.
  • implementing the device described in FIG. 4 can also intelligently control the smart refrigerator to perform preprocessing operations that match the ingredient information when the determined target operation is an operation related to cooking, thereby realizing the individuality of different ingredients. It can also improve the reliability and accuracy of the preprocessing operation based on the food material information.
  • control module 303 controls the smart refrigerator to perform preprocessing operations that match the ingredient information according to the predetermined cooking operations that the target user needs to perform after the return time and are associated with the smart refrigerator
  • the specific way can be:
  • the cooking type corresponding to the cooking operation associated with the smart refrigerator that the predetermined target user needs to perform after the return time, and the cooking type is an automatic cooking type or a manual cooking type;
  • implementing the device described in FIG. 4 can also intelligently control the smart refrigerator to perform preprocessing operations that match the ingredient information according to the cooking type, which is conducive to further improving the matching degree between the preprocessing operations performed by controlling the smart refrigerator and the actual needs of users .
  • control module 303 controls the smart refrigerator to perform the preprocessing operation matching the ingredient information according to the cooking type is:
  • the smart refrigerator is controlled to perform the storage space adjustment operation for the target ingredient to adjust the storage space of the target ingredient to the corresponding ingredient take-out position of the smart refrigerator, and control the associated manipulator or smart AGV from the ingredient take-out position Take out the target food;
  • the smart refrigerator is controlled to perform a storage space adjustment operation for the target ingredient, so as to adjust the storage space of the target ingredient to the position for taking out the ingredient corresponding to the smart refrigerator.
  • implementing the device described in FIG. 4 can also provide different preprocessing methods for different cooking types, realize individualized control methods for smart refrigerators under different cooking types, and help improve the cooking efficiency of actual cooking.
  • the prediction module 301 in the device corresponding to FIG. 3 can also be used to predict the return time of the target user based on the pre-trained user travel habit model, and then predict based on the user behavior habit model.
  • this optional embodiment can also intelligently predict the operations related to the smart refrigerator that the user needs to perform after the return time according to the pre-trained user behavior habit model, which is beneficial to improve the accuracy of the determined operations.
  • the performance and efficiency are improved, and the accuracy of controlling the smart refrigerator to perform the corresponding preprocessing operation is improved, and the reliability of the intelligent control of the smart refrigerator is improved.
  • the device may further include a second detection module 306 , an extraction module 307 and an adjustment module 308 , and the device described in FIG. 3
  • An apparatus further including a second detection module 306, an extraction module 307 and an adjustment module 308 based on the structure of the apparatus may be shown in FIG. in:
  • the second detection module 306 is configured to detect whether there is schedule information of the target user on the current date after the prediction module 301 predicts the return time of the target user according to the pre-trained user travel habit model.
  • the extraction module 307 is configured to extract the time keyword in the schedule information when the detection result of the second detection module 306 is yes.
  • the judgment module 302 is also used to judge whether the return time needs to be adjusted according to the time keyword; when the judgment module 302 judges that the return time does not need to be adjusted, the above-mentioned judgment is performed to determine whether the interval duration between the current moment and the return time is less than or equal to a preset duration threshold. operation.
  • the adjustment module 308 is used to adjust the return time according to the information content corresponding to the time keyword when the judgment module 302 judges that the return time needs to be adjusted, and triggers the judgment module 302 to perform the above-mentioned judgment on whether the interval between the current time and the return time is less than or equal to Actions with preset duration thresholds.
  • implementing the device described in FIG. 5 can also intelligently adjust the return time according to the user’s schedule information after predicting the user’s return time according to the user’s travel habit model, which is beneficial to improve the control of the smart refrigerator to perform preprocessing operations.
  • the reliability and accuracy of the smart refrigerator can be reduced, and the situation that the preprocessing operation performed by the smart refrigerator is controlled to match the actual needs of users is reduced due to the early or late return time of prediction.
  • the embodiment of the present invention discloses a smart refrigerator, and the smart refrigerator is used to implement the control method of the smart refrigerator described in the first embodiment or the second embodiment, or the smart refrigerator may include any one of the smart refrigerators described in the third embodiment.
  • the control device of the refrigerator is not repeated in this embodiment of the present invention.
  • FIG. 6 is a schematic structural diagram of a control device for a smart refrigerator disclosed in an embodiment of the present invention.
  • the device described in 6 is used to realize intelligent control of the smart refrigerator, which can exist independently of the smart refrigerator, or can be integrated in the smart refrigerator as a part of the smart refrigerator, which is not limited in the embodiment of the present invention.
  • the apparatus may include:
  • a memory 401 storing executable program code
  • processor 402 coupled to the memory 401;
  • it may also include an input interface 403 coupled with the processor 402 and an output interface 404;
  • the processor 402 invokes the executable program code stored in the memory 401 to execute some or all of the steps in the control method of the smart refrigerator described in the first embodiment or the second embodiment.
  • An embodiment of the present invention discloses a computer storage medium, which stores a computer program for electronic data exchange, wherein the computer program enables a computer to execute part of the control method for a smart refrigerator described in the first embodiment or the second embodiment or all steps.
  • An embodiment of the present invention discloses a computer program product.
  • the computer program product includes a non-transitory computer-readable storage medium storing a computer program, and the computer program is operable to cause a computer to execute the first or second embodiment. Some or all of the steps in the control of the described smart refrigerator.
  • control device for the smart refrigerator described above are only schematic, wherein the modules described as separate components may or may not be physically separated, and the components shown as modules may or may not be physical modules , that is, it can be located in one place, or it can be distributed to multiple network modules. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution in this embodiment. Those of ordinary skill in the art can understand and implement it without creative effort.
  • Read-Only Memory ROM
  • Random Access Memory Random Access Memory
  • PROM Programmable Read-only Memory
  • Erasable Programmable Read Only Memory Erasable Programmable Read Only Memory, EPROM
  • OTPROM One-time Programmable Read-Only Memory
  • EEPROM Electronically Erasable Programmable Read-Only Memory
  • CD-ROM Compact Disc Read -Only Memory
  • control method and device for a smart refrigerator disclosed in the embodiments of the present invention and the smart refrigerator are only preferred embodiments of the present invention, and are only used to illustrate the technical solutions of the present invention, not to Its limitation; although the present invention has been described in detail with reference to the foregoing embodiments, those of ordinary skill in the art should understand that; it is still possible to modify the technical solutions described in the foregoing embodiments, or to equate some of the technical features. Replacement; and these modifications or replacements do not make the essence of the corresponding technical solutions deviate from the spirit and scope of the technical solutions of the embodiments of the present invention.

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Abstract

一种智能冰箱的控制方法及装置、智能冰箱，该方法包括：根据预先训练好的用户出行习惯模型预测目标用户的返回时刻；判断当前时刻距离预测出的返回时刻的间隔时长是否小于等于预设时长阈值；当判断出该间隔时长小于等于预设时长阈值时，根据预先确定出的目标用户在返回时刻之后所需执行的、与智能冰箱相关联的目标操作，控制智能冰箱执行该目标操作对应的预处理操作，丰富了智能冰箱的智能化控制方式，提高了智能冰箱的控制灵活性。

Description

智能冰箱的控制方法及装置、智能冰箱 技术领域
本发明涉及智能化控制技术领域，尤其涉及一种智能冰箱的控制方法及装置、智能冰箱。
背景技术
随着电子技术的快速发展，越来越多的家电设备朝着智能化方向发展，且基于操作方便快捷、省时省力等优点，智能家电设备在生活场景中的应用也越来越重要，其中，在生活场景中必不可少的其中一种智能家电设备为智能冰箱。
当前，除了根据人们设定的参数执行相应的冷冻、冷藏等基本操作之外，还能够基于机器学习对智能冰箱进行智能化的控制，具体为：将当前时间输入冰箱行为预测模型预测智能冰箱的行为并根据预测的行为控制智能冰箱执行相匹配的操作，其中，冰箱行为预测模型是根据智能冰箱的历史各时间点的运行数据对机器学习算法进行训练得到的。可见，当前智能冰箱的智能化控制方式比较单一。
发明内容
本发明提供了一种智能冰箱的控制方法及装置、智能冰箱，能够丰富智能冰箱的智能化控制方式，提高智能冰箱的控制灵活性。
本发明第一方面公开了一种智能冰箱的控制方法，所述方法包括：
根据预先训练好的用户出行习惯模型预测目标用户的返回时刻；
判断当前时刻距离所述返回时刻的间隔时长是否小于等于预设时长阈值；
当判断出所述间隔时长小于等于所述预设时长阈值时，根据预先确定出的所述目标用户在所述返回时刻之后所需执行的、与智能冰箱相关联的目标操作，控制所述智能冰箱执行所述目标操作对应的预处理操作。
作为一种可选的实施方式，在本发明第一方面中，所述根据预先训练好的用户出行习惯模型预测目标用户的返回时刻之后，所述方法还包括：
检测所述目标用户或所述目标用户所属用户组中的关联用户是否触发了预约烹饪操作；当检测到触发了所述预约烹饪操作时，确定所述预约烹饪操作所需目标食材的食材信息；
其中，所述根据预先确定出的所述目标用户在所述返回时刻之后所需执行的、与智能冰箱相关联的目标操作，控制所述智能冰箱执行所述目标操作对应的预处理操作，包括：
根据预先确定出的所述目标用户在所述返回时刻之后所需执行的、与智能冰箱相关联的烹饪操作，控制所述智能冰箱执行与所述食材信息相匹配的预处理操作。
作为一种可选的实施方式，在本发明第一方面中，所述根据预先确定出的所述目标用户在所述返回时刻之后所需执行的、与智能冰箱相关联的烹饪操作，控制所述智能冰箱执行与所述食材信息相匹配的预处理操作，包括：
分析预先确定出的所述目标用户在所述返回时刻之后所需执行的、与智能冰箱相关联的烹饪操作所对应的烹饪类型，所述烹饪类型为自动烹饪类型或手动烹饪类型；
根据所述烹饪类型控制所述智能冰箱执行与所述食材信息相匹配的预处理操作。
作为一种可选的实施方式，在本发明第一方面中，所述根据所述烹饪类型控制所述智能冰箱执行与所述食材信息相匹配的预处理操作，包括：
根据所述食材信息确定所述目标食材在所述智能冰箱的存放空间；
当所述烹饪类型为所述自动烹饪类型时，控制所述智能冰箱执行针对所述目标食材的存放空间调整操作，以将所述目标食材的存放空间调整至所述智能冰箱对应的食材取出位置，并控制关联的机械手或智能AGV从所述食材取出位置取出所述目标食材；
当所述烹饪类型为所述手动烹饪类型时，控制所述智能冰箱执行针对所述目标食材的存放空间调整操作，以将所述目标食材的存放空间调整至所述智能冰箱对应的食材取出位置。
作为一种可选的实施方式，在本发明第一方面中，所述根据预先训练好的用户出行习惯模型预测目标用户的返回时刻之后，所述方法还包括：
基于所述用户行为习惯模型预测所述目标用户在所述返回时刻之后所需执行的、与智能冰箱相关联的目标操作。
作为一种可选的实施方式，在本发明第一方面中，所述根据预先训练好的用户出行习惯模型预测目标用户的返回时刻之后，所述方法还包括：
检测是否存在所述目标用户在当前日期的日程安排信息；
当检测结果为是时，提取所述日程安排信息中的时间关键词，并根据所述时间关键词判断是否需要调整所述返回时刻；
当判断出不需要调整所述返回时刻时，执行所述的判断当前时刻距离所述返回时刻的间隔时长是否小于等于预设时长阈值的操作；
当判断出需要调整所述返回时刻时，根据所述时间关键词对应的信息内容调整所述返回时刻，并执行所述的判断当前时刻距离所述返回时刻的间隔时长是否小于等于预设时长阈值的操作。
本发明第二方面公开了一种智能冰箱，所述智能冰箱用于执行本发明第一方面公开的智能冰箱的控制方法中的部分或全部步骤。
本发明第三方面公开了一种智能冰箱的控制装置，所述装置包括：
预测模块，用于根据预先训练好的用户出行习惯模型预测目标用户的返回时刻；
判断模块，用于判断当前时刻距离所述返回时刻的间隔时长是否小于等于预设时长阈值；
控制模块，用于当所述判断模块判断出所述间隔时长小于等于所述预设时长阈值时，根据预先确定出的所述目标用户在所述返回时刻之后所需执行的、与智能冰箱相关联的目标操作，控制所述智能冰箱执行所述目标操作对应的预处理操作。
作为一种可选的实施方式，在本发明第三方面中，所述装置还包括：
第一检测模块，用于在所述预测模块根据预先训练好的用户出行习惯模型预测目标用户的返回时刻之后，检测所述目标用户或所述目标用户所属用户组中的关联用户是否触发了预约烹饪操作；
确定模块，用于当所述第一检测模块检测到触发了所述预约烹饪操作时，确定所述预约烹饪操作所需目标食材的食材信息；
其中，所述控制模块根据预先确定出的所述目标用户在所述返回时刻之后所需执行的、与智能冰箱相关联的目标操作，控制所述智能冰箱执行所述目标操作对应的预处理操作的具体方式为：
根据预先确定出的所述目标用户在所述返回时刻之后所需执行的、与智能冰箱相关联的烹饪操作，控制所述智能冰箱执行与所述食材信息相匹配的预处理操作。
作为一种可选的实施方式，在本发明第三方面中，所述控制模块根据预先确定出的所述目标用户在所述返回时刻之后所需执行的、与智能冰箱相关联的烹饪操作，控制所述智能冰箱执行与所述食材信息相匹配的预处理操作的具体方式为：
分析预先确定出的所述目标用户在所述返回时刻之后所需执行的、与智能冰箱相关联的烹饪操作所对应的烹饪类型，所述烹饪类型为自动烹饪类型或手动烹饪类型；
根据所述烹饪类型控制所述智能冰箱执行与所述食材信息相匹配的预处理操作。
作为一种可选的实施方式，在本发明第三方面中，所述控制模块根据所述烹饪类型控制所述智能冰箱执行与所述食材信息相匹配的预处理操作的具体方式为：
根据所述食材信息确定所述目标食材在所述智能冰箱的存放空间；
当所述烹饪类型为所述自动烹饪类型时，控制所述智能冰箱执行针对所述目标食材的存放空间调整操作以将所述目标食材的存放空间调整至所述智能冰箱对应的食材取出位置，并控制关联的机械手或智能AGV从所述食材取出位置取出所述目标食材；
当所述烹饪类型为所述手动烹饪类型时，控制所述智能冰箱执行针对所述目标食材的存放空间调整操作，以将所述目标食材的存放空间调整至所述智能冰箱对应的食材取出位置。
作为一种可选的实施方式，在本发明第三方面中，所述预测模块，还用于在根据预先训练好的用户出行习惯模型预测目标用户的返回时刻之后，基于所述用户行为习惯模型预测所述目标用户在所述返回时刻之后所需执行的、与智 能冰箱相关联的目标操作。
作为一种可选的实施方式，在本发明第三方面中，所述装置还包括：
第二检测模块，用于在所述预测模块根据预先训练好的用户出行习惯模型预测目标用户的返回时刻之后，检测是否存在所述目标用户在当前日期的日程安排信息；
提取模块，用于当所述第二检测模块的检测结果为是时，提取所述日程安排信息中的时间关键词；
所述判断模块，还用于根据所述时间关键词判断是否需要调整所述返回时刻；当所述判断模块判断出不需要调整所述返回时刻时，执行所述的判断当前时刻距离所述返回时刻的间隔时长是否小于等于预设时长阈值的操作；
调整模块，用于当所述判断模块判断出需要调整所述返回时刻时，根据所述时间关键词对应的信息内容调整所述返回时刻，并触发所述判断模块执行所述的判断当前时刻距离所述返回时刻的间隔时长是否小于等于预设时长阈值的操作。
本发明第四方面公开了另一种智能冰箱的控制装置，所述装置包括：
存储有可执行程序代码的存储器；
与所述存储器耦合的处理器；
所述处理器调用所述存储器中存储的所述可执行程序代码，执行本发明第一方面公开的智能冰箱的控制方法中的部分或全部步骤。
本发明第五方面公开了一种计算机存储介质，所述计算机存储介质存储有计算机指令，所述计算机指令被调用时，用于本发明第一方面公开的智能冰箱的控制方法中的部分或全部步骤。
与现有技术相比，本发明实施例具有以下有益效果：
本发明实施例中，根据预先训练好的用户出行习惯模型预测目标用户的返回时刻；判断当前时刻距离预测出的返回时刻的间隔时长是否小于等于预设时长阈值；当判断出该间隔时长小于等于预设时长阈值时，根据预先确定出的目标用户在返回时刻之后所需执行的、与智能冰箱相关联的目标操作，控制智能冰箱执行该目标操作对应的预处理操作。可见，本发明能够根据预测出的用户返回时刻及确定出的用户在返回时刻之后所需执行的、与智能冰箱相关联的目 标操作，智能化的控制智能冰箱提前执行相应的预处理操作，丰富了智能冰箱的智能化控制方式，提高了智能冰箱的控制灵活性，有利于提高用户的使用体验。
附图说明
为了更清楚地说明本发明实施例中的技术方案，下面将对实施例描述中所需要使用的附图作简单地介绍，显而易见地，下面描述中的附图仅仅是本发明的一些实施例，对于本领域普通技术人员来讲，在不付出创造性劳动的前提下，还可以根据这些附图获得其他的附图。
图1是本发明实施例公开的一种智能冰箱的控制方法的流程示意图；
图2是本发明实施例公开的另一种智能冰箱的控制方法的流程示意图；
图3是本发明实施例公开的一种智能冰箱的控制装置的结构示意图；
图4是本发明实施例公开的另一种智能冰箱的控制装置的结构示意图；
图5是本发明实施例公开的又一种智能冰箱的控制装置的结构示意图；
图6是本发明实施例公开的又一种智能冰箱的控制装置的结构示意图。
具体实施方式
为了使本技术领域的人员更好地理解本发明方案，下面将结合本发明实施例中的附图，对本发明实施例中的技术方案进行清楚、完整地描述，显然，所描述的实施例仅仅是本发明一部分实施例，而不是全部的实施例。基于本发明中的实施例，本领域普通技术人员在没有做出创造性劳动前提下所获得的所有其他实施例，都属于本发明保护的范围。
本发明的说明书和权利要求书及上述附图中的术语“第一”、“第二”等是用于区别不同对象，而不是用于描述特定顺序。此外，术语“包括”和“具有”以及它们任何变形，意图在于覆盖不排他的包含。例如包含了一系列步骤或单元的过程、方法、装置、产品或设备没有限定于已列出的步骤或单元，而是可选地还包括没有列出的步骤或单元，或可选地还包括对于这些过程、方法、产品或设备固有的其他步骤或单元。
在本文中提及“实施例”意味着，结合实施例描述的特定特征、结构或特性可 以包含在本发明的至少一个实施例中。在说明书中的各个位置出现该短语并不一定均是指相同的实施例，也不是与其它实施例互斥的独立的或备选的实施例。本领域技术人员显式地和隐式地理解的是，本文所描述的实施例可以与其它实施例相结合。
本发明公开了一种智能冰箱的控制方法及装置、智能冰箱，能够根据预测出的用户返回时刻及确定出的用户在返回时刻之后所需执行的、与智能冰箱相关联的目标操作，智能化的控制智能冰箱提前执行相应的预处理操作，丰富了智能冰箱的智能化控制方式，提高了智能冰箱的控制灵活性。以下分别进行详细说明。
实施例一
请参阅图1，图1是本发明实施例公开的一种智能冰箱的控制方法的流程示意图。其中，如1所描述的方法可以应用于智能冰箱的控制装置中，该控制装置可以独立于智能冰箱而存在，也可以作为智能冰箱的一部分集成在智能冰箱中，本发明实施例不做限定。如图1所示，该智能冰箱的控制方法可以包括以下操作：
101、控制装置根据预先训练好的用户出行习惯模型预测目标用户的返回时刻。
本发明实施例中，控制装置可以构建初始的用户出行习惯模型，并根据采集到的至少一个用户中每个用户在目标时间段(如一个月)内的所有外出时刻及所有返回时刻对初始构建的用户出行习惯模型进行训练，得到训练好的用户出行习惯模型。其中，用户出行习惯模型至少用于预测相应用户的返回时刻，进一步的，还可以预测相应用户在不同返回时刻之后所进行的一系列操作。
本发明实施例中，在预测目标用户的返回时刻时，控制装置可以先获取目标用户的用户标识，并根据目标用户的用户标识获取该目标用户对应的预测参数，以及将该预测参数输入相应的用户出行习惯模型，得到用户出行习惯模型对应的输出结果，根据用户出行习惯模型对应的输出结果预测目标用户的返回时刻。可选的，目标用户对应的预测参数可以至少包括目标用户的用户标识，还可以进一步包括当前日期对应的日期类型、目标用户在当前日期的外出时刻、目标用户的属性信息、目标用户在当前日期的出行交通工具等中的一种或多种 的组合。其中，当前日期对应的日期类型可以为工作日类型或节假日类型，目标用户的属性信息用于表示目标用户的社会属性，如家庭主妇、退休工人(如老人)、上班族或学生等。需要说明的是，用户出行习惯模型可以以家庭为单位，一个家庭可以存在与之对应的用户出行习惯模型。
可选的，当用户出行习惯模型的输出结果包括包括多个返回时刻时，控制装置可以将该多个返回时刻中距离当前时刻最近的返回时刻确定为最终预测出的返回时刻，也可以获取与目标用户对应的辅助预测因子从该多个返回时刻中筛选出与辅助预测因子对应的某一返回时刻作为最终预测出的返回时刻。进一步可选的，与目标用户对应的辅助预测因子可以包括当前日期对应的特殊标识，如节假日标识、纪念日标识、生日标识或预约标识等。
102、控制装置判断当前时刻距离返回时刻的间隔时长是否小于等于预设时长阈值，当步骤102的判断结果为是时，触发执行步骤103；当步骤102的判断结果为否时，可以继续触发执行步骤102。
需要说明的是，当步骤102的判断结果为否时，可以从步骤102的判断结果为否的时刻开始间隔目标间隔时长之后再继续触发执行步骤102。且进一步需要说明的是，每次重新触发执行步骤102之前的目标间隔时长可以相同，也可以不同。当每次重新触发执行步骤102之前的目标间隔时长不同时，其具体可以根据当前时刻距离返回时刻的间隔时长动态确定，且当前时刻距离返回时刻的间隔时长越长，目标间隔时长就越长；当前时刻距离返回时刻的间隔时长越短，目标间隔时长就越短，这样有利于减少判断次数。
103、当判断出间隔时长小于等于预设时长阈值时，控制装置根据预先确定出的目标用户在返回时刻之后所需执行的、与智能冰箱相关联的目标操作，控制智能冰箱执行目标操作对应的预处理操作。
需要说明的是，控制装置在预测出目标用户的返回时刻之后，控制装置就可以根据预先设置的确定方式确定目标用户在返回时刻之后所需执行的、与智能冰箱相关联的目标操作。其中，与智能冰箱相关联的目标操作可以包括与物品相关的存取操作(如烹饪操作、取饮料操作等)和/或与物品相关的其它处理操作(如冷冻操作、解冻操作等)。
举例来说，当预测出某一上班族在下午18:00回来、确定出的目标操作为“烹 饪红烧肉”、预设时长阈值为10分钟时，若当前时刻为17:55，则控制装置即可控制智能冰箱对烹饪红烧肉所需的肉制品进行解冻操作。
在一个可选的实施例中，在执行完毕步骤101之后以及在执行步骤102之前，该方法还可以包括以下操作：
控制装置检测目标用户或目标用户所属用户组中的关联用户是否触发了预约烹饪操作；
当检测到触发了预约烹饪操作时，控制装置确定预约烹饪操作所需目标食材的食材信息。
在该可选的实施例中，控制装置根据预先确定出的目标用户在返回时刻之后所需执行的、与智能冰箱相关联的目标操作，控制智能冰箱执行目标操作对应的预处理操作，可以包括：
控制装置根据预先确定出的目标用户在返回时刻之后所需执行的、与智能冰箱相关联的烹饪操作，控制智能冰箱执行与食材信息相匹配的预处理操作。
举例来说，若某一食材的食材信息表示该食材为冷冻食材，则与食材信息相匹配的预处理操作可以为解冻操作；若某一食材的食材信息表示该食材为盒装食材，则与食材信息相匹配的预处理操作可以为去盒操作。
可见，该可选的实施例能够在确定出的目标操作为与烹饪相关的操作时，能够智能化的控制智能冰箱执行与食材信息相匹配的预处理操作，实现了针对不同食材的个性化预处理操作，还能够提高根据食材信息执行预处理操作的可靠性与准确性。
在该可选的实施例中，进一步可选的，控制装置根据预先确定出的目标用户在返回时刻之后所需执行的、与智能冰箱相关联的烹饪操作，控制智能冰箱执行与食材信息相匹配的预处理操作，可以包括：
控制装置分析预先确定出的目标用户在返回时刻之后所需执行的、与智能冰箱相关联的烹饪操作所对应的烹饪类型，烹饪类型为自动烹饪类型或手动烹饪类型；
控制装置根据烹饪类型控制智能冰箱执行与食材信息相匹配的预处理操作。
可见，该可选的实施例还能够根据烹饪类型智能化的控制智能冰箱执行与 食材信息相匹配的预处理操作，有利于进一步提高控制智能冰箱执行的预处理操作与用户实际需求的匹配度。
又进一步可选的，控制装置根据烹饪类型控制智能冰箱执行与食材信息相匹配的预处理操作，可以包括：
控制装置根据食材信息确定目标食材在智能冰箱的存放空间；
当烹饪类型为自动烹饪类型时，控制装置控制智能冰箱执行针对目标食材的存放空间调整操作以将目标食材的存放空间调整至智能冰箱对应的食材取出位置，并控制关联的机械手或智能AGV从食材取出位置取出目标食材；
当烹饪类型为手动烹饪类型时，控制装置控制智能冰箱执行针对目标食材的存放空间调整操作，以将目标食材的存放空间调整至智能冰箱对应的食材取出位置。
可见，该可选的实施例能够为不同的烹饪类型提供不同的预处理方式，实现了在不同烹饪类型下对智能冰箱的个性化控制方式，有利于提高实际烹饪的烹饪效率。
又进一步可选的，目标用户所属用户组可以具体为家庭成员组。进一步可选的，在检测到触发了预约烹饪操作之后，控制装置还可以执行以下操作：
控制装置确定目标用户的用户身份，并判断目标用户的用户身份是否为预设用户身份，若是，则执行上述的确定预约烹饪操作所需目标食材的食材信息的操作。其中，预设用户身份具体用于表示具有烹饪权限的用户所对应的身份。
举例来说，若目标用户的用户身份为中小学生或老年人，则确定目标用户的用户身份不为预设用户身份；若目标用户为家长用户，则确定目标用户的用户身份为预设用户身份。
可见，该可选的实施例还能够在用户返回后需要执行的操作为烹饪操作时，通过判断返回用户是否具有烹饪权限的方式进一步提高执行预处理操作的可靠性与准确性。
在另一个可选的实施例中，在执行完毕步骤101之后以及在执行步骤102之前，该方法还可以包括以下操作：
控制装置基于用户行为习惯模型预测目标用户在返回时刻之后所需执行的、与智能冰箱相关联的目标操作。
在该可选的实施例中，用户行为习惯模型还可以用于预测用户在返回时刻之后需要执行的相关操作。
举例来说，控制装置预测出某一爱好健身的用户在返回之后需要喝相应的饮料，则控制装置可以提前控制智能冰箱将该用户所需引用的饮料调整至方便用户取出的位置，有利于提高用户取出饮料的效率。
可见，该可选的实施例还能够根据预先训练好的用户行为习惯模型智能化的预测用户在返回时刻之后所需执行的、与智能冰箱相关联的操作，有利于提高确定出的操作的准确性与效率，进而有利于提高控制智能冰箱执行相应预处理操作的准确性，提高了对智能冰箱进行智能化控制的可靠性。
可见，本发明实施例所描述的方法能够根据预测出的用户返回时刻及确定出的用户在返回时刻之后所需执行的、与智能冰箱相关联的目标操作，智能化的控制智能冰箱提前执行相应的预处理操作，丰富了智能冰箱的智能化控制方式，提高了智能冰箱的控制灵活性，有利于提高用户的使用体验。此外，还能够提供多种确定用户在返回时刻之后所需执行的、与智能冰箱相关联的目标操作的确定方式，可根据不同的情况适应性的使用相匹配的方式确定目标操作，有利于拓展对智能冰箱进行智能化控制的控制方式，进而有利于进一步提高用户的使用体验。
实施例二
请参阅图2，图2是本发明实施例公开的另一种智能冰箱的控制方法的流程示意图。其中，如2所描述的方法可以应用于智能冰箱的控制装置中，该控制装置可以独立于智能冰箱而存在，也可以作为智能冰箱的一部分集成在智能冰箱中，本发明实施例不做限定。如图2所示，该智能冰箱的控制方法可以包括以下操作：
201、控制装置根据预先训练好的用户出行习惯模型预测目标用户的返回时刻。
202、控制装置检测是否存在目标用户在当前日期的日程安排信息，当步骤202的判断结果为是时，触发执行步骤203；当步骤202的判断结果为否时，触发执行步骤206。
203、控制装置提取日程安排信息中的时间关键词。
204、控制装置根据时间关键词判断是否需要调整返回时刻，当步骤204的判断结果为是时，触发执行步骤205；当步骤204的判断结果为否时，触发执行步骤206。
可选的，控制装置根据时间关键词判断是否需要调整返回时刻，可以包括：
控制装置根据时间关键词确定目标用户的预估返回时刻，计算预估返回时刻与步骤201中的返回时刻的时长差值，并判断该时长差值是否大于等于预设时长差值阈值，若是，则确定步骤201中的返回时刻需要调整，如否，则确定步骤201中的返回时刻不需要调整。
205、控制装置根据时间关键词对应的信息内容调整上述返回时刻。
可选的，时间关键词对应的信息内容可以为具体时刻、具体时刻对应的天气情况、具体时刻对应的交通拥堵情况、具体事项、具体地点、交通工具等中的一种或多种的组合。
206、控制装置判断当前时刻距离返回时刻的间隔时长是否小于等于预设时长阈值。
207、当判断出间隔时长小于等于预设时长阈值时，控制装置根据预先确定出的目标用户在返回时刻之后所需执行的、与智能冰箱相关联的目标操作，控制智能冰箱执行目标操作对应的预处理操作。
举例来说，控制装置通过用户出行习惯模型预测出家长下班后18:00回到家，家长的日程安排信息为“18:30-19:00开家长”，则根据“18:30-19:00”确定出的预估返回时刻为19:30。假设预设时长差值阈值为30分钟，则控制装置调整将预测出的返回时刻18:00调整至19:30。
可见，本发明实施例所描述的方法根据预测出的用户返回时刻及确定出的用户在返回时刻之后所需执行的、与智能冰箱相关联的目标操作，智能化的控制智能冰箱提前执行相应的预处理操作，丰富了智能冰箱的智能化控制方式，提高了智能冰箱的控制灵活性，有利于提高用户的使用体验。此外，在根据用户出行习惯模型预测用户的返回时刻之后，还可以智能化的根据用户的日程安排信息实现对返回时刻的调整，有利于提高控制智能冰箱执行预处理操作的可靠性与准确性，减少因预测的返回时刻过早或过晚而导致的控制智能冰箱执行预处理操作与用户实际需求匹配度低的情况发生。
实施例三
请参阅图3，图3是本发明实施例公开的一种智能冰箱的控制装置的结构示意图。其中，如3所描述的装置用于实现对智能冰箱的智能化控制，其可以独立于智能冰箱而存在，也可以作为智能冰箱的一部分集成在智能冰箱中，本发明实施例不做限定。如图3所示，该装置可以包括：
预测模块301，用于根据预先训练好的用户出行习惯模型预测目标用户的返回时刻。
判断模块302，用于判断当前时刻距离返回时刻的间隔时长是否小于等于预设时长阈值。
控制模块303，用于当判断模块302判断出间隔时长小于等于预设时长阈值时，根据预先确定出的目标用户在返回时刻之后所需执行的、与智能冰箱相关联的目标操作，控制智能冰箱执行目标操作对应的预处理操作。
可见，实施图3所描述的装置能够根据预测出的用户返回时刻及确定出的用户在返回时刻之后所需执行的、与智能冰箱相关联的目标操作，智能化的控制智能冰箱提前执行相应的预处理操作，丰富了智能冰箱的智能化控制方式，提高了智能冰箱的控制灵活性，有利于提高用户的使用体验。
在一个可选的实施例中，如图4所示，该装置还可以包括：
第一检测模块304，用于在预测模块301根据预先训练好的用户出行习惯模型预测目标用户的返回时刻之后，检测目标用户或目标用户所属用户组中的关联用户是否触发了预约烹饪操作。
本发明实施例中，可选的，预测模块301根据预先训练好的用户出行习惯模型预测目标用户的返回时刻之后，可以触发第一检测模块304启动。
确定模块305，用于当第一检测模块304检测到触发了预约烹饪操作时，确定预约烹饪操作所需目标食材的食材信息。
其中，控制模块303根据预先确定出的目标用户在返回时刻之后所需执行的、与智能冰箱相关联的目标操作，控制智能冰箱执行目标操作对应的预处理操作的具体方式为：
根据预先确定出的目标用户在返回时刻之后所需执行的、与智能冰箱相关联的烹饪操作，控制智能冰箱执行与食材信息相匹配的预处理操作。
可见，实施图4所描述的装置还能够在确定出的目标操作为与烹饪相关的操作时，能够智能化的控制智能冰箱执行与食材信息相匹配的预处理操作，实现了针对不同食材的个性化预处理操作，还能够提高根据食材信息执行预处理操作的可靠性与准确性。
在该可选的实施例中，控制模块303根据预先确定出的目标用户在返回时刻之后所需执行的、与智能冰箱相关联的烹饪操作，控制智能冰箱执行与食材信息相匹配的预处理操作的具体方式可以为：
分析预先确定出的目标用户在返回时刻之后所需执行的、与智能冰箱相关联的烹饪操作所对应的烹饪类型，烹饪类型为自动烹饪类型或手动烹饪类型；
根据烹饪类型控制智能冰箱执行与食材信息相匹配的预处理操作。
可见，实施图4所描述的装置还能够根据烹饪类型智能化的控制智能冰箱执行与食材信息相匹配的预处理操作，有利于进一步提高控制智能冰箱执行的预处理操作与用户实际需求的匹配度。
又进一步可选的，控制模块303根据烹饪类型控制智能冰箱执行与食材信息相匹配的预处理操作的具体方式为：
根据食材信息确定目标食材在智能冰箱的存放空间；
当烹饪类型为自动烹饪类型时，控制智能冰箱执行针对目标食材的存放空间调整操作以将目标食材的存放空间调整至智能冰箱对应的食材取出位置，并控制关联的机械手或智能AGV从食材取出位置取出目标食材；
当烹饪类型为手动烹饪类型时，控制智能冰箱执行针对目标食材的存放空间调整操作，以将目标食材的存放空间调整至智能冰箱对应的食材取出位置。
可见，实施图4所描述的装置还能够为不同的烹饪类型提供不同的预处理方式，实现了在不同烹饪类型下对智能冰箱的个性化控制方式，有利于提高实际烹饪的烹饪效率。
在另一个可选的实施例中，图3所对应的装置中的预测模块301，还可以用于在根据预先训练好的用户出行习惯模型预测目标用户的返回时刻之后，基于用户行为习惯模型预测目标用户在返回时刻之后所需执行的、与智能冰箱相关联的目标操作。
可见，该可选的实施例还能够根据预先训练好的用户行为习惯模型智能化 的预测用户在返回时刻之后所需执行的、与智能冰箱相关联的操作，有利于提高确定出的操作的准确性与效率，进而有利于提高控制智能冰箱执行相应预处理操作的准确性，提高了对智能冰箱进行智能化控制的可靠性。
在又一个可选的实施例中，在图3或图4所描述的装置结构基础上，该装置还可以包括第二检测模块306、提取模块307以及调整模块308，且在图3所描述的装置结构基础上还包括第二检测模块306、提取模块307以及调整模块308的装置可以如图5所示，图5是本发明实施例公开的又一种智能冰箱的控制装置的结构示意图。其中：
第二检测模块306，用于在预测模块301根据预先训练好的用户出行习惯模型预测目标用户的返回时刻之后，检测是否存在目标用户在当前日期的日程安排信息。
提取模块307，用于当第二检测模块306的检测结果为是时，提取日程安排信息中的时间关键词。
判断模块302，还用于根据时间关键词判断是否需要调整返回时刻；当判断模块302判断出不需要调整返回时刻时，执行上述的判断当前时刻距离返回时刻的间隔时长是否小于等于预设时长阈值的操作。
调整模块308，用于当判断模块302判断出需要调整返回时刻时，根据时间关键词对应的信息内容调整返回时刻，并触发判断模块302执行上述的判断当前时刻距离返回时刻的间隔时长是否小于等于预设时长阈值的操作。
可见，实施图5所描述的装置还能够在根据用户出行习惯模型预测用户的返回时刻之后，智能化的根据用户的日程安排信息实现对返回时刻的调整，有利于提高控制智能冰箱执行预处理操作的可靠性与准确性，减少因预测的返回时刻过早或过晚而导致的控制智能冰箱执行预处理操作与用户实际需求匹配度低的情况发生。
实施例四
本发明实施例公开了一种智能冰箱，该智能冰箱用于实现实施例一或实施例二所描述的智能冰箱的控制方法，或者，该智能冰箱可以包括实施例三所描述的任意一种智能冰箱的控制装置，本发明实施例不再赘述。
实施例五
请参阅图6，图6是本发明实施例公开的一种智能冰箱的控制装置的结构示意图。其中，如6所描述的装置用于实现对智能冰箱的智能化控制，其可以独立于智能冰箱而存在，也可以作为智能冰箱的一部分集成在智能冰箱中，本发明实施例不做限定。如图6所示，该装置可以包括：
存储有可执行程序代码的存储器401；
与存储器401耦合的处理器402；
进一步的，还可以包括与处理器402耦合的输入接口403以及输出接口404；
其中，处理器402调用存储器401中存储的可执行程序代码，用于执行实施例一或实施例二中所描述的智能冰箱的控制方法中的部分或全部步骤。
实施例六
本发明实施例公开了一种计算机存储介质，其存储用于电子数据交换的计算机程序，其中，该计算机程序使得计算机执行实施例一或实施例二中所描述的智能冰箱的控制方法中的部分或全部步骤。
实施例七
本发明实施例公开了一种计算机程序产品，该计算机程序产品包括存储了计算机程序的非瞬时性计算机可读存储介质，且该计算机程序可操作来使计算机执行实施例一或实施例二中所描述的智能冰箱的控制中的部分或全部步骤。
以上所描述的智能冰箱的控制装置实施例仅是示意性的，其中所述作为分离部件说明的模块可以是或者也可以不是物理上分开的，作为模块显示的部件可以是或者也可以不是物理模块，即可以位于一个地方，或者也可以分布到多个网络模块上。可以根据实际的需要选择其中的部分或者全部模块来实现本实施例方案的目的。本领域普通技术人员在不付出创造性的劳动的情况下，即可以理解并实施。
通过以上的实施例的具体描述，本领域的技术人员可以清楚地了解到各实施方式可借助软件加必需的通用硬件平台的方式来实现，当然也可以通过硬件。基于这样的理解，上述技术方案本质上或者说对现有技术做出贡献的部分可以以软件产品的形式体现出来，该计算机软件产品可以存储在计算机可读存储介质中,存储介质包括只读存储器(Read-Only Memory，ROM)、随机存储器(Random Access Memory，RAM)、可编程只读存储器(Programmable Read-only  Memory，PROM)、可擦除可编程只读存储器(Erasable Programmable Read Only Memory，EPROM)、一次可编程只读存储器(One-time Programmable Read-Only Memory，OTPROM)、电子抹除式可复写只读存储器(Electrically-Erasable Programmable Read-Only Memory，EEPROM)、只读光盘(Compact Disc Read-Only Memory，CD-ROM)或其他光盘存储器、磁盘存储器、磁带存储器、或者能够用于携带或存储数据的计算机可读的任何其他介质。
最后应说明的是：本发明实施例公开的一种智能冰箱的控制方法及装置、智能冰箱所揭露的仅为本发明较佳实施例而已，仅用于说明本发明的技术方案，而非对其限制；尽管参照前述实施例对本发明进行了详细的说明，本领域的普通技术人员应当理解；其依然可以对前述各项实施例所记载的技术方案进行修改，或者对其中部分技术特征进行等同替换；而这些修改或替换，并不使相应的技术方案的本质脱离本发明各项实施例技术方案的精神和范围。

Claims (10)

  1. 一种智能冰箱的控制方法，其特征在于，所述方法包括：
    根据预先训练好的用户出行习惯模型预测目标用户的返回时刻；
    判断当前时刻距离所述返回时刻的间隔时长是否小于等于预设时长阈值；
    当判断出所述间隔时长小于等于所述预设时长阈值时，根据预先确定出的所述目标用户在所述返回时刻之后所需执行的、与智能冰箱相关联的目标操作，控制所述智能冰箱执行所述目标操作对应的预处理操作。
  2. 根据权利要求1所述的智能冰箱的控制方法，其特征在于，所述根据预先训练好的用户出行习惯模型预测目标用户的返回时刻之后，所述方法还包括：
    检测所述目标用户或所述目标用户所属用户组中的关联用户是否触发了预约烹饪操作；当检测到触发了所述预约烹饪操作时，确定所述预约烹饪操作所需目标食材的食材信息；
    其中，所述根据预先确定出的所述目标用户在所述返回时刻之后所需执行的、与智能冰箱相关联的目标操作，控制所述智能冰箱执行所述目标操作对应的预处理操作，包括：
    根据预先确定出的所述目标用户在所述返回时刻之后所需执行的、与智能冰箱相关联的烹饪操作，控制所述智能冰箱执行与所述食材信息相匹配的预处理操作。
  3. 根据权利要求2所述的智能冰箱的控制方法，其特征在于，所述根据预先确定出的所述目标用户在所述返回时刻之后所需执行的、与智能冰箱相关联的烹饪操作，控制所述智能冰箱执行与所述食材信息相匹配的预处理操作，包括：
    分析预先确定出的所述目标用户在所述返回时刻之后所需执行的、与智能冰箱相关联的烹饪操作所对应的烹饪类型，所述烹饪类型为自动烹饪类型或手动烹饪类型；
    根据所述烹饪类型控制所述智能冰箱执行与所述食材信息相匹配的预处理操作。
  4. 根据权利要求3所述的智能冰箱的控制方法，其特征在于，所述根据所述烹饪类型控制所述智能冰箱执行与所述食材信息相匹配的预处理操作，包括：
    根据所述食材信息确定所述目标食材在所述智能冰箱的存放空间；
    当所述烹饪类型为所述自动烹饪类型时，控制所述智能冰箱执行针对所述目标食材的存放空间调整操作以将所述目标食材的存放空间调整至所述智能冰箱对应的食材取出位置，并控制关联的机械手或智能AGV从所述食材取出位置取出所述目标食材；
    当所述烹饪类型为所述手动烹饪类型时，控制所述智能冰箱执行针对所述目标食材的存放空间调整操作，以将所述目标食材的存放空间调整至所述智能冰箱对应的食材取出位置。
  5. 根据权利要求1所述的智能冰箱的控制方法，其特征在于，所述根据预先训练好的用户出行习惯模型预测目标用户的返回时刻之后，所述方法还包括：
    基于所述用户行为习惯模型预测所述目标用户在所述返回时刻之后所需执行的、与智能冰箱相关联的目标操作。
  6. 根据权利要求1-5任一项所述的智能冰箱的控制方法，其特征在于，所述根据预先训练好的用户出行习惯模型预测目标用户的返回时刻之后，所述方法还包括：
    检测是否存在所述目标用户在当前日期的日程安排信息；
    当检测结果为是时，提取所述日程安排信息中的时间关键词，并根据所述时间关键词判断是否需要调整所述返回时刻；
    当判断出不需要调整所述返回时刻时，执行所述的判断当前时刻距离所述返回时刻的间隔时长是否小于等于预设时长阈值的操作；
    当判断出需要调整所述返回时刻时，根据所述时间关键词对应的信息内容调整所述返回时刻，并执行所述的判断当前时刻距离所述返回时刻的间隔时长是否小于等于预设时长阈值的操作。
  7. 一种智能冰箱，其特征在于，所述智能冰箱用于执行如权利要求1-6任一项所述的智能冰箱的控制方法。
  8. 一种智能冰箱的控制装置，其特征在于，所述装置包括：
    预测模块，用于根据预先训练好的用户出行习惯模型预测目标用户的返回时刻；
    判断模块，用于判断当前时刻距离所述返回时刻的间隔时长是否小于等于预设时长阈值；
    控制模块，用于当所述判断模块判断出所述间隔时长小于等于所述预设时长阈值时，根据预先确定出的所述目标用户在所述返回时刻之后所需执行的、与智能冰箱相关联的目标操作，控制所述智能冰箱执行所述目标操作对应的预处理操作。
  9. 一种智能冰箱的控制装置，其特征在于，所述装置包括：
    存储有可执行程序代码的存储器；
    与所述存储器耦合的处理器；
    所述处理器调用所述存储器中存储的所述可执行程序代码，执行如权利要求1-6任一项所述的智能冰箱的控制方法。
  10. 一种计算机存储介质，其特征在于，所述计算机存储介质存储有计算机指令，所述计算机指令被调用时，用于执行如权利要求1-6任一项所述的智能冰箱的控制方法。
PCT/CN2022/073776 2021-02-08 2022-01-25 智能冰箱的控制方法及装置、智能冰箱 WO2022166687A1 (zh)

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