Refrigerator AI intelligent food preservation system
By dividing differentiated fresh-keeping space in the refrigerator and integrating AI dynamic decision-making engine, combining multiple fresh-keeping modules and modular designs, the problem of single fresh-keeping mode and insufficient human-computer interaction is solved, and the accurate matching of food fresh-keeping effects and user-friendly operation experience is achieved.
Patent Information
- Application Number
- CN202510947856.8
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-07-10
- Publication Date
- 2025-08-08
AI Technical Summary
The existing refrigerator preservation technology cannot dynamically adjust the preservation mode according to the food type, resulting in poor preservation effect and insufficient human-computer interaction design, making it difficult for users to obtain preservation suggestions that meet their needs.
Differentiated fresh-keeping space (dry area/vacuum/aerosolation/photosynthesis/-18℃/-32℃) is adopted and the AI dynamic decision-making engine is integrated, combining refrigeration system, control system, food identification module and fresh-keeping unit to achieve accurate matching of food fresh-keeping patterns, and supports functional combination through AI dual-level decision-making mechanism and modular expansion design.
It realizes accurate matching of food preservation patterns, extends the shelf life by more than 30%, improves the preservation effect, and simplifies user operations through human-machine collaborative prompts.
Smart Images
Figure CN120444837A_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to the field of smart home technology, and in particular to an AI-powered food preservation system for refrigerators. Background Art
[0002] Although existing refrigerator preservation technology can meet the needs of most people, it has the following defects: in the static preservation mode of food, it relies more on fixed temperature and humidity settings, and cannot dynamically adjust the preservation mode according to the type, quantity and state of the food being preserved, resulting in difficulty in achieving the optimal preservation effect; the refrigerator's built-in ultraviolet sterilization, vacuum packaging, humidity adjustment and other functional modules generally adopt independent operation logic and lack collaborative preservation, which not only consumes a lot of energy but also has poor preservation effect; existing refrigerators have obvious deficiencies in human-computer interaction design, and it is difficult for users to intuitively obtain food preservation suggestions that meet actual needs through refrigerator equipment; in existing technologies, although AI is used to predict the freshness of food, the problem of dynamically adjusting preservation modes and parameters has not been solved. Summary of the Invention
[0003] The technical problem to be solved by the present invention is to overcome the existing defects and provide a refrigerator AI intelligent food preservation system that can effectively solve the problems in the background technology.
[0004] To achieve the above objectives, the present invention discloses an AI-powered intelligent food preservation system for refrigerators. The system employs a technical solution comprising a refrigerator housing, wherein the refrigerator housing comprises a refrigerator compartment and a freezer compartment, wherein the refrigerator compartment and the freezer compartment are used to preserve and store food. The system achieves precise matching of food preservation modes by dividing the refrigerator into differentiated preservation spaces (dry zone / vacuum / air conditioning / photosynthesis / -18°C / -32°C) and integrating an AI dynamic decision-making engine. It also includes a refrigeration system, a control system, a food recognition module, an AI decision-making module, and a freshness preservation unit; The refrigeration system is used as a cold source for the refrigerator; The control system is used to send a query instruction to the AI decision module and activate the corresponding fresh-keeping zone based on the feedback result of the AI decision module; The food recognition module is used to identify the type of food placed in the refrigerator; The AI decision module is used to generate a set of fresh-keeping modes and an optimal fresh-keeping mode suitable for the food based on the recognition results of the food recognition module; The fresh-keeping unit includes a variety of fresh-keeping modules for keeping food fresh; The fresh-keeping unit comprises a humidity adjustment module, an ozone sterilization module, a negative ion sterilization module, a vacuum fresh-keeping module, a photosynthetic fresh-keeping module and an atmosphere-controlled fresh-keeping module.
[0005] As a preferred technical solution of the present invention, the refrigerator partition and the freezer partition are both equipped with prompt devices, which can emit light alarm signals to guide users to place food in the corresponding partitions, guide users to place food through alarm signals, and automatically optimize parameters.
[0006] As a preferred technical solution of the present invention, the refrigeration compartment partitions include dry area space, vacuum space, gas-conditioned space, photosynthetic space and freezer compartment partitions.
[0007] As a preferred technical solution of the present invention, the dry area space is equipped with a temperature regulating device, an ozone sterilization device and a negative ion sterilization device; the vacuum space is equipped with a temperature regulating device, a vacuum degree regulating device, an ozone sterilization device and a negative ion sterilization device; the atmosphere-controlled space is equipped with a temperature regulating device, a humidity regulating device, an oxygen concentration regulating device, an ozone sterilization device and a negative ion sterilization device; the photosynthetic space is equipped with a temperature regulating device, a humidity regulating device, a simulated natural light device, an ozone sterilization device and a negative ion sterilization device, and each space is equipped with exclusive preservation parameters (such as vacuum degree, O2 concentration, and light).
[0008] As a preferred technical solution of the present invention, the freezing chamber partitions include a -18°C freezing space and a -32°C freezing space.
[0009] As a preferred technical solution of the present invention, the -18°C freezing space and the -32°C freezing space are both equipped with a temperature regulating device, an ozone sterilizing device and a negative ion sterilizing device.
[0010] As a preferred technical solution of the present invention, the control system executes the following process of the AI decision module: When the refrigerator door is opened, the food recognition module identifies the type of food to be put in; the control system sends a first query instruction to the AI decision module to obtain a set of all preservation modes applicable to the food; If there is only one specific fresh-keeping mode in the fresh-keeping mode set, then the specific fresh-keeping mode is selected; If there are ≥2 specific fresh-keeping modes in the fresh-keeping mode set, the control system sends a second query instruction to the AI decision module to obtain the optimal fresh-keeping mode; first identify all applicable fresh-keeping modes for food, and select the optimal solution in case of conflict; activating a corresponding fresh-keeping zone based on the selected specific fresh-keeping mode or the optimal fresh-keeping mode; The control system requests the AI decision module for the optimal parameter combination of each function of the fresh-keeping zone and automatically executes it.
[0011] As an optimal technical solution of the present invention, the preservation mode set includes temperature, humidity, ozone sterilization, negative ion sterilization, vacuum preservation, photosynthetic preservation, controlled atmosphere preservation, -18°C freezing, and -32°C freezing; the specific preservation mode includes vacuum preservation mode, photosynthetic preservation mode, controlled atmosphere preservation mode, -18°C freezing mode and -32°C freezing mode; the optimal parameters include temperature setting value, humidity setting value, vacuum setting value, oxygen concentration setting value, light intensity and spectrum, and ozone / negative ion sterilization cycle.
[0012] As an optimal technical solution of the present invention, the box adopts a modular design to support the expansion of new fresh-keeping space; the newly added fresh-keeping space can be dynamically configured with a functional module combination, and the functional module combination includes at least two of a temperature control module, a humidity control module, a vacuum fresh-keeping module, an atmosphere-controlled fresh-keeping module, a simulated natural light module, and a sterilization module.
[0013] Compared with the existing technology, the beneficial effects of the present invention are: the present invention realizes precise matching of food preservation modes by dividing differentiated preservation spaces (dry area / vacuum / air conditioning / photosynthesis / -18℃ / -32℃) and integrating an AI dynamic decision-making engine; spatial function customization: each space is configured with exclusive preservation parameters (such as vacuum degree, O2 concentration, and light); AI two-level decision-making mechanism: first identify all applicable preservation modes for food, and select the optimal solution in case of conflict; human-computer collaborative prompt: guide the user to place the food through alarm signals, and automatically optimize parameters; modular expansion capability: supports the addition of functional combination space on demand; solves the problems of single preservation mode and complex user decision-making in traditional refrigerators, and extends the shelf life of food by more than 30%. BRIEF DESCRIPTION OF THE DRAWINGS
[0014] Figure 1 It is a structural schematic diagram of the present invention; Figure 2 This is a system framework diagram of the present invention. DETAILED DESCRIPTION
[0015] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of the present invention. Example 1
[0016] like Figures 1 to 2 As shown, the present invention discloses an AI intelligent food preservation system for refrigerators, which adopts a technical solution comprising a box body, wherein the box body comprises a refrigerator compartment and a freezer compartment, wherein the refrigerator compartment and the freezer compartment are used for preserving and storing food; The cold storage compartment includes a dry area, a vacuum area, an atmosphere-controlled area, a photosynthetic area and a freezer compartment. The freezer compartment includes a -18°C freezer space and a -32°C freezer space.
[0017] The refrigerator compartment and the freezer compartment are both provided with prompting devices, which can emit light alarm signals to guide users to place food in corresponding compartments.
[0018] The dry area space is equipped with a temperature regulating device, an ozone sterilization device and a negative ion sterilization device; the vacuum space is equipped with a temperature regulating device, a vacuum degree regulating device, an ozone sterilization device and a negative ion sterilization device; the atmosphere-controlled space is equipped with a temperature regulating device, a humidity regulating device, an oxygen concentration regulating device, an ozone sterilization device and a negative ion sterilization device; the photosynthetic space is equipped with a temperature regulating device, a humidity regulating device, a simulated natural light device, an ozone sterilization device and a negative ion sterilization device.
[0019] The -18°C freezing space and the -32°C freezing space are both equipped with a temperature regulating device, an ozone sterilizing device and a negative ion sterilizing device.
[0020] It also includes a refrigeration system, a control system, a food recognition module, an AI decision-making module, and a freshness preservation unit; The refrigeration system is used as a cold source for the refrigerator; The control system is used to send a query instruction to the AI decision module and activate the corresponding fresh-keeping zone based on the feedback result of the AI decision module; The food recognition module is used to identify the type of food placed in the refrigerator; The AI decision module is used to generate a set of fresh-keeping modes and an optimal fresh-keeping mode suitable for the food based on the recognition results of the food recognition module; The fresh-keeping unit includes a variety of fresh-keeping modules for keeping food fresh; The fresh-keeping unit comprises a humidity adjustment module, an ozone sterilization module, a negative ion sterilization module, a vacuum fresh-keeping module, a photosynthetic fresh-keeping module and an atmosphere-controlled fresh-keeping module.
[0021] The control system executes the following process of the AI decision module: When the refrigerator door is opened, the food recognition module identifies the type of food to be put in; the control system sends a first query instruction to the AI decision module to obtain a set of all preservation modes applicable to the food; If there is only one specific fresh-keeping mode in the fresh-keeping mode set, then the specific fresh-keeping mode is selected; If there are ≥2 specific fresh-keeping modes in the fresh-keeping mode set, the control system sends a second query instruction to the AI decision module to obtain the optimal fresh-keeping mode; activating a corresponding fresh-keeping zone based on the selected specific fresh-keeping mode or the optimal fresh-keeping mode; The control system requests the AI decision module for the optimal parameter combination of each function of the fresh-keeping zone and automatically executes it.
[0022] The preservation mode set includes temperature, humidity, ozone sterilization, negative ion sterilization, vacuum preservation, photosynthetic preservation, controlled atmosphere preservation, -18°C freezing, and -32°C freezing; the specific preservation modes include vacuum preservation mode, photosynthetic preservation mode, controlled atmosphere preservation mode, -18°C freezing mode, and -32°C freezing mode; the optimal parameters include temperature setting value, humidity setting value, vacuum setting value, oxygen concentration setting value, light intensity and spectrum, and ozone / negative ion sterilization cycle.
[0023] The box adopts a modular design to support the expansion of new fresh-keeping space; the newly added fresh-keeping space can be dynamically configured with a functional module combination, and the functional module combination includes at least two of a temperature control module, a humidity control module, a vacuum fresh-keeping module, an atmosphere-controlled fresh-keeping module, a simulated natural lighting module, and a sterilization module.
[0024] The working principle of the present invention is: when the user puts in a strawberry, the food recognition module determines the food category through image recognition; The AI decision-making module queries the knowledge base and provides feedback on a set of fresh-keeping modes: temperature: 2-4°C; humidity: 90%-95%; controlled atmosphere preservation (O2: 5%-10%), and negative ion sterilization. The control system determines that the controlled atmosphere space is suitable; the LED light in the controlled atmosphere space flashes red and a buzzer sounds, prompting the user to put strawberries in; AI decision module output parameters: temperature = 3°C, humidity = 92%, O2 concentration = 8%, negative ion sterilization cycle = 2 times / day; The control system automatically executes parameters and monitors the status of the strawberries.
[0025] The AI decision-making module used in this technical solution adopts large artificial intelligence models such as Doubao, Deepseek, and Wenxin Yiyan.
[0026] Components not described in detail herein are prior art.
[0027] While embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions, and variations may be made to these embodiments without departing from the principles and spirit of the invention, and that the scope of the invention is defined by the appended claims and their equivalents.
Claims
1. A refrigerator AI intelligent food preservation system, characterized by: The box comprises a refrigerator compartment and a freezer compartment, wherein the refrigerator compartment and the freezer compartment are used for storing food in a fresh-keeping manner; It also includes a refrigeration system, a control system, a food recognition module, an AI decision-making module, and a freshness preservation unit; The refrigeration system is used as a cold source for the refrigerator; The control system is used to send a query instruction to the AI decision module and activate the corresponding fresh-keeping zone based on the feedback result of the AI decision module; The food recognition module is used to identify the type of food placed in the refrigerator; The AI decision module is used to generate a set of fresh-keeping modes and an optimal fresh-keeping mode suitable for the food based on the recognition results of the food recognition module; The fresh-keeping unit includes a variety of fresh-keeping modules for keeping food fresh; The fresh-keeping unit comprises a humidity adjustment module, an ozone sterilization module, a negative ion sterilization module, a vacuum fresh-keeping module, a photosynthetic fresh-keeping module and an atmosphere-controlled fresh-keeping module.
2. The refrigerator AI intelligent food preservation system according to claim 1, characterized in that: The refrigerator compartment and the freezer compartment are both provided with prompting devices, which can emit light alarm signals to guide users to place food in corresponding compartments.
3. The refrigerator AI intelligent food preservation system according to claim 1 or 2, characterized in that: The cold storage compartment partitions include a dry area space, a vacuum space, an atmosphere-controlled space, a photosynthetic space and a freezing compartment partition.
4. The refrigerator AI intelligent food preservation system according to claim 3, characterized in that: The dry area space is equipped with a temperature regulating device, an ozone sterilization device and a negative ion sterilization device; the vacuum space is equipped with a temperature regulating device, a vacuum degree regulating device, an ozone sterilization device and a negative ion sterilization device; the atmosphere-controlled space is equipped with a temperature regulating device, a humidity regulating device, an oxygen concentration regulating device, an ozone sterilization device and a negative ion sterilization device; the photosynthetic space is equipped with a temperature regulating device, a humidity regulating device, a simulated natural light device, an ozone sterilization device and a negative ion sterilization device.
5. The refrigerator AI intelligent food preservation system according to claim 1 or 2, characterized in that: The freezer compartment includes a -18°C freezer space and a -32°C freezer space.
6. The refrigerator AI intelligent food preservation system according to claim 5, characterized in that: The -18°C freezing space and the -32°C freezing space are both equipped with a temperature regulating device, an ozone sterilizing device and a negative ion sterilizing device.
7. The refrigerator AI intelligent food preservation system according to claim 1, characterized in that: The control system executes the following process of the AI decision module: When the refrigerator door is opened, the food recognition module identifies the type of food to be put in; the control system sends a first query instruction to the AI decision module to obtain a set of all preservation modes applicable to the food; If there is only one specific fresh-keeping mode in the fresh-keeping mode set, then the specific fresh-keeping mode is selected; If there are ≥2 specific fresh-keeping modes in the fresh-keeping mode set, the control system sends a second query instruction to the AI decision module to obtain the optimal fresh-keeping mode; activating a corresponding fresh-keeping zone based on the selected specific fresh-keeping mode or the optimal fresh-keeping mode; The control system requests the AI decision module for the optimal parameter combination of each function of the fresh-keeping zone and automatically executes it.
8. The refrigerator AI intelligent food preservation system according to claim 7, characterized in that: The preservation mode set includes temperature, humidity, ozone sterilization, negative ion sterilization, vacuum preservation, photosynthetic preservation, controlled atmosphere preservation, -18°C freezing, and -32°C freezing; the specific preservation modes include vacuum preservation mode, photosynthetic preservation mode, controlled atmosphere preservation mode, -18°C freezing mode, and -32°C freezing mode; the optimal parameters include temperature setting value, humidity setting value, vacuum setting value, oxygen concentration setting value, light intensity and spectrum, and ozone / negative ion sterilization cycle.
9. The refrigerator AI intelligent food preservation system according to claim 1, characterized in that: The box adopts a modular design to support the expansion of new fresh-keeping space; the newly added fresh-keeping space can be dynamically configured with a functional module combination, and the functional module combination includes at least two of a temperature control module, a humidity control module, a vacuum fresh-keeping module, an atmosphere-controlled fresh-keeping module, a simulated natural light module, and a sterilization module.