CN113945039A - Food material fresh-keeping degree determining method and refrigerator fresh-keeping control method and system - Google Patents

Food material fresh-keeping degree determining method and refrigerator fresh-keeping control method and system Download PDF

Info

Publication number
CN113945039A
CN113945039A CN202010685438.3A CN202010685438A CN113945039A CN 113945039 A CN113945039 A CN 113945039A CN 202010685438 A CN202010685438 A CN 202010685438A CN 113945039 A CN113945039 A CN 113945039A
Authority
CN
China
Prior art keywords
freshness
food material
preservation
degree
refrigerator
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Pending
Application number
CN202010685438.3A
Other languages
Chinese (zh)
Inventor
周文军
陈斌德
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Ningbo Fotile Kitchen Ware Co Ltd
Original Assignee
Ningbo Fotile Kitchen Ware Co Ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Ningbo Fotile Kitchen Ware Co Ltd filed Critical Ningbo Fotile Kitchen Ware Co Ltd
Priority to CN202010685438.3A priority Critical patent/CN113945039A/en
Publication of CN113945039A publication Critical patent/CN113945039A/en
Pending legal-status Critical Current

Links

Images

Classifications

    • 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
    • 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
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N20/00—Machine learning
    • 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

Landscapes

  • Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • General Engineering & Computer Science (AREA)
  • Software Systems (AREA)
  • Mechanical Engineering (AREA)
  • Thermal Sciences (AREA)
  • Combustion & Propulsion (AREA)
  • Theoretical Computer Science (AREA)
  • Chemical & Material Sciences (AREA)
  • Evolutionary Computation (AREA)
  • Data Mining & Analysis (AREA)
  • Medical Informatics (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Computing Systems (AREA)
  • General Physics & Mathematics (AREA)
  • Mathematical Physics (AREA)
  • Artificial Intelligence (AREA)
  • Cold Air Circulating Systems And Constructional Details In Refrigerators (AREA)

Abstract

The invention discloses a method for determining food material fresh-keeping degree, a method and a system for controlling refrigerator fresh-keeping, wherein the determining method comprises the following steps: acquiring historical preservation data, wherein the historical preservation data comprises the preservation degrees of different food materials at different temperatures and different storage times; extracting preservation factors influencing the preservation of food materials from the historical preservation data; training the historical preservation data and the preservation factors based on a machine learning algorithm to obtain a determination model of the preservation degree of the food materials and preservation coefficients of the preservation factors of each food material at different temperatures and different storage times; the determining model is used for determining the freshness degree of any food material. The method comprises the steps of training the freshness degrees of food materials based on freshness factors such as time and temperature by using a machine learning algorithm to obtain an acquisition algorithm of the freshness degrees, further determining the freshness degrees of the refrigerator according to the insurance degrees of the food materials in the refrigerator, and adjusting the temperature of the refrigerator based on the acquisition algorithm to improve the value of the freshness degrees of the refrigerator to the maximum extent.

Description

Food material fresh-keeping degree determining method and refrigerator fresh-keeping control method and system
Technical Field
The invention belongs to the field of intelligent control of refrigerators, and particularly relates to a method for determining food material fresh-keeping degree, and a method and a system for controlling refrigerator fresh-keeping.
Background
When a user uses the refrigerator, most of the time, the user can directly put vegetables, eggs and the like into a refrigerating chamber and put meat products, fishes and the like into a freezing chamber according to own common knowledge, but the knowledge of refrigerating or freezing or temperature changing area is still lacked for some food materials; in addition, the user puts food materials into the refrigerator, and often puts the food materials purchased at different periods simultaneously, so that the freshness of the food materials is seriously influenced under the condition of no food material management; in practical use, most users basically cannot adjust the temperature of the refrigerator for the temperature setting of the refrigerator for the second time, and the constant temperature is also not beneficial to the preservation of food materials.
Disclosure of Invention
The invention aims to overcome the defect that intelligent dynamic fresh-keeping of food materials in a refrigerator cannot be realized in the prior art, and provides a method for determining the fresh-keeping degree of the food materials, a method for controlling the fresh-keeping of the refrigerator and a system thereof.
The invention solves the technical problems through the following technical scheme:
a method for determining the freshness degree of food materials comprises the following steps:
acquiring historical preservation data, wherein the historical preservation data comprises the preservation degrees of different food materials at different temperatures and different storage times;
extracting preservation factors influencing the preservation of food materials from the historical preservation data;
training the historical preservation data and the preservation factors based on a machine learning algorithm to obtain a determination model of the preservation degree of the food materials and preservation coefficients of the preservation factors of each food material at different temperatures and different storage times;
the determining model is used for determining the freshness degree of any food material.
Preferably, the determination model is:
Figure BDA0002587391990000021
wherein f isk(tkT) is the freshness degree of the kth food material, TkThe storage time of the kth food material in the refrigerator, T is the real-time temperature, aiThe preservation coefficient, x, of the ith preservation factor of the kth food material under the T temperature and the T storage timeiIs the real-time value of the ith freshness factor, f (x)i) Is an influence function of the ith preservation factor on the food material preservation degree, and n is n preservation factors.
Preferably, the freshness-retaining factor includes at least one of temperature, humidity, carbon dioxide concentration, hydrogen sulfide concentration, ethanol gas concentration, and ammonia gas concentration.
A control method for keeping freshness of a refrigerator comprises the following steps:
acquiring current food material data stored in a refrigerator, wherein the current food material data comprises current food materials and time information of each current food material put into the refrigerator;
obtaining a determination model of the food material freshness degree by using the determination method of the food material freshness degree;
determining the current freshness degree of each current food material according to the determination model;
determining the freshness of the refrigerator according to the current freshness;
adjusting the temperature of the refrigerator according to the freshness preservation degree;
determining the freshness degree of each current food material after temperature adjustment according to the determination model;
determining the freshness degree of the refrigerator after temperature adjustment according to the freshness degree after temperature adjustment;
and adjusting the temperature of the refrigerator according to the freshness after temperature adjustment until the value of the freshness of the refrigerator is maximized.
Preferably, the step of obtaining the current food material stored in the refrigerator specifically includes:
acquiring the current food material data based on an image recognition technology;
and/or acquiring the current food material data based on an RFID (electronic tag) label arranged on the food material;
and/or acquiring a voice instruction sent by a user when the user puts food materials into the refrigerator, and recognizing the voice instruction to obtain the current food material data.
Preferably, in the step of determining the freshness of the refrigerator according to the current freshness degree, solving the freshness according to the following formula includes:
Figure BDA0002587391990000031
Figure BDA0002587391990000032
wherein F is the freshness, Fk(T, T) is the freshness degree of the kth food material, bkThe freshness coefficient of the kth food material is, and m is m current food materials;
fk(tkt) is the freshness degree of the kth food material, TkThe storage time of the kth food material in the refrigerator, T is the real-time temperature, aiThe preservation coefficient, x, of the ith preservation factor of the kth food material under the T temperature and the T storage timeiIs the real-time value of the ith freshness factor, f (x)i) Is an influence function of the ith preservation factor on the food material preservation degree, and n is n preservation factors.
Preferably, after the step of determining the current freshness degree of each current food material according to the determination model, the control method further includes:
judging whether the freshness of each current food material exceeds a preset freshness threshold, if so, sending out warning information, wherein the warning information is used for reminding a user to process the current food material exceeding the freshness threshold.
A food material fresh-keeping degree determining system comprises a historical data acquiring module, a fresh-keeping factor extracting module and a training module;
the historical data acquisition module is used for acquiring historical preservation data, and the historical preservation data comprises the preservation degrees of different food materials at different temperatures and different storage times;
the preservation factor extraction module is used for extracting preservation factors influencing food material preservation from the historical preservation data;
the training module is used for training the historical preservation data and the preservation factors based on a machine learning algorithm to obtain a determination model of the preservation degree of the food materials and preservation coefficients of the preservation factors of each food material at different temperatures and different storage times;
the determining model is used for determining the freshness degree of any food material.
Preferably, the determination model is:
Figure BDA0002587391990000033
wherein f isk(tkT) is the freshness degree of the kth food material, TkThe storage time of the kth food material in the refrigerator, T is the real-time temperature, aiThe preservation coefficient, x, of the ith preservation factor of the kth food material under the T temperature and the T storage timeiIs the real-time value of the ith freshness factor, f (x)i) Is an influence function of the ith preservation factor on the food material preservation degree, and n is n preservation factors.
Preferably, the freshness-retaining factor includes at least one of temperature, humidity, carbon dioxide concentration, hydrogen sulfide concentration, ethanol gas concentration, and ammonia gas concentration.
A control system for refrigerator fresh keeping comprises a current food material data acquisition module, a determination model acquisition module, a current fresh-keeping degree determination module, a fresh-keeping degree determination module and a temperature regulation module;
the current food material data acquisition module is used for acquiring current food material data stored in the refrigerator, wherein the current food material data comprises current food materials and time information of each current food material put into the refrigerator;
the determining model obtaining module is used for obtaining a determining model of the food material fresh-keeping degree by utilizing the determining system of the food material fresh-keeping degree;
the current fresh-keeping degree determining module is used for determining the current fresh-keeping degree of each current food material according to the determining model;
the freshness degree determining module is used for determining the freshness degree of the refrigerator according to the current freshness degree;
the temperature adjusting module is used for adjusting the temperature of the refrigerator according to the freshness preservation degree;
the current fresh-keeping degree determining module is also used for determining the fresh-keeping degree of each current food material after the temperature is adjusted;
the freshness degree determining module is also used for determining the freshness degree of the refrigerator after temperature adjustment according to the freshness degree after temperature adjustment;
the temperature adjusting module is also used for adjusting the temperature of the refrigerator according to the freshness after temperature adjustment until the value of the freshness of the refrigerator is maximized.
Preferably, the current food material data acquiring module is configured to acquire the current food material data based on an image recognition technology;
and/or the current food material data acquisition module is used for acquiring the current food material data based on the RFID tags arranged on food materials;
and/or the current food material data acquisition module is used for acquiring a voice instruction sent by a user when the user puts food materials into a refrigerator, and recognizing the voice instruction to obtain the current food material data.
Preferably, the freshness degree determination module solves the freshness degree according to the following formula, specifically including:
Figure BDA0002587391990000051
Figure BDA0002587391990000052
wherein F is the freshness, Fk(T, T) is the kth mealDegree of freshness of the material, bkThe freshness coefficient of the kth food material is, and m is m current food materials;
fk(tkt) is the freshness degree of the kth food material, TkThe storage time of the kth food material in the refrigerator, T is the real-time temperature, aiThe preservation coefficient, x, of the ith preservation factor of the kth food material under the T temperature and the T storage timeiIs the real-time value of the ith freshness factor, f (x)i) Is an influence function of the ith preservation factor on the food material preservation degree, and n is n preservation factors.
Preferably, the control system further comprises a judging module;
the judging module is used for judging whether the preservation degree of each current food material exceeds a preset preservation threshold value, if so, warning information is sent out, and the warning information is used for reminding a user to process the current food material exceeding the preservation threshold value.
An electronic device comprises a memory, a processor and a computer program which is stored on the memory and can run on the processor, wherein when the processor executes the computer program, the method for determining the freshness degree of the food material is realized;
and/or the processor executes the computer program to realize the control method for keeping the refrigerator fresh.
A computer-readable storage medium, on which a computer program is stored, which program, when being executed by a processor, carries out the steps of the method for determining a freshness degree of a food material as defined above;
and/or the program realizes the steps of the control method for keeping the refrigerator fresh when being executed by the processor.
The positive progress effects of the invention are as follows: the method comprises the steps of training the freshness degrees of food materials based on freshness factors such as time and temperature by using a machine learning algorithm to obtain an acquisition algorithm of the freshness degrees, further determining the freshness degrees of the refrigerator according to the insurance degrees of the food materials in the refrigerator, and adjusting the temperature of the refrigerator based on the acquisition algorithm to improve the value of the freshness degrees of the refrigerator to the maximum extent.
Drawings
Fig. 1 is a flowchart of a method for determining a food material freshness degree according to embodiment 1 of the present invention.
Fig. 2 is a flowchart of a method for controlling freshness of a refrigerator according to embodiment 2 of the present invention.
Fig. 3 is a schematic block diagram of a system for determining food material freshness degree according to embodiment 3 of the present invention.
Fig. 4 is a schematic block diagram of a fresh-keeping control system of a refrigerator according to embodiment 4 of the present invention.
Fig. 5 is a schematic structural diagram of an electronic device according to embodiment 5 of the present invention.
Detailed Description
The invention is further illustrated by the following examples, which are not intended to limit the scope of the invention.
Example 1
A method for determining a freshness degree of a food material, as shown in fig. 1, the method comprises:
step 11, obtaining historical fresh-keeping data; the historical preservation data comprises the preservation degrees of different food materials at different temperatures and different storage times;
step 12, extracting preservation factors influencing food material preservation from the historical preservation data; the freshness-retaining factor includes at least one of temperature, humidity, carbon dioxide concentration, hydrogen sulfide concentration, ethanol gas concentration, and ammonia gas concentration.
Step 13, training the historical preservation data and the preservation factors based on a machine learning algorithm to obtain a determination model of the preservation degree of the food materials and preservation coefficients of the preservation factors of each food material at different temperatures and different storage times;
the determining model is used for determining the freshness degree of any food material.
In this embodiment, the determination model obtained by training is:
Figure BDA0002587391990000061
wherein f isk(tkAnd T) the freshness degree of the kth food material，tkThe storage time of the kth food material in the refrigerator, T is the real-time temperature, aiThe preservation coefficient, x, of the ith preservation factor of the kth food material under the T temperature and the T storage timeiIs the real-time value of the ith freshness factor, f (x)i) Is an influence function of the ith preservation factor on the food material preservation degree, and n is n preservation factors.
In addition, f (x)i) As an influence function of the ith preservation factor on the food material preservation degree, the determination of the function may depend on technical personnel to set according to actual conditions, and may be xiThe value itself, which may also be q.xiQ is a constant coefficient, and may be
Figure BDA0002587391990000071
And the like.
In the embodiment, the freshness degree of the food material is trained by using a machine learning algorithm based on freshness factors such as temperature and the like which influence the freshness of the food material, so that a freshness degree determining algorithm is obtained, based on the freshness degree determining algorithm, the freshness degree of any food material at different temperatures and different storage times can be obtained, and further, the freshness degree of the refrigerator can be judged by depending on the parameter.
Example 2
A control method for keeping freshness of a refrigerator, as shown in fig. 2, the control method comprises:
step 21, obtaining current food material data stored in a refrigerator; the current food material data comprise current food materials and time information of putting each current food material into a refrigerator;
step 22, obtaining a determination model of the food material freshness degree by using the determination method of the food material freshness degree in embodiment 1;
step 23, determining the current freshness degree of each current food material according to the determined model;
step 24, determining the freshness of the refrigerator according to the current freshness;
step 25, adjusting the temperature of the refrigerator according to the freshness preservation degree;
step 26, determining the temperature-adjusted fresh-keeping degree of each current food material according to the determined model;
step 27, determining the freshness degree of the refrigerator after temperature adjustment according to the freshness degree after temperature adjustment;
and step 28, adjusting the temperature of the refrigerator according to the freshness after temperature adjustment until the value of the freshness of the refrigerator is maximized.
Wherein, step 21 specifically comprises:
acquiring the current food material data based on an image recognition technology;
and/or acquiring the current food material data based on the RFID label arranged on the food material;
and/or acquiring a voice instruction sent by a user when the user puts food materials into the refrigerator, and recognizing the voice instruction to obtain the current food material data. The voice instruction includes: such as "i want to put beef, carrot, milk … …", after speech recognition, the user can be informed of the preferred placement area for each food material, including cold storage, freezing and temperature change areas.
It should be noted that, after the stored current food material is obtained based on the image or the RFID, if the current food material storage mode is incorrect, the user may be prompted to adjust the position of the corresponding food material.
In this embodiment, in the step of determining the freshness of the refrigerator according to the current freshness degree, solving the freshness according to the following formula specifically includes:
Figure BDA0002587391990000081
wherein F is the freshness, Fk(T, T) is the freshness degree of the kth food material, bkThe freshness coefficient of the kth food material is, and m is m current food materials; in addition, b iskThe coefficient may be set as a constant empirically or may be learned by a machine learning algorithm.
In addition, after step 23, referring to fig. 2, the control method further includes:
231, judging whether the freshness degree of each current food material exceeds a preset freshness threshold value, if so, executing a step 232;
step 232, sending out warning information; the warning information is used for reminding the user of processing the current food materials exceeding the preservation threshold value.
In this embodiment, the freshness of the refrigerator is determined according to the insurance degree of each food material in the refrigerator, and the temperature of the refrigerator is adjusted based on the freshness, so that the value of the freshness of the refrigerator is improved to the maximum extent.
Example 3
A food material fresh-keeping degree determining system is shown in figure 3 and comprises a historical data acquiring module 1, a fresh-keeping factor extracting module 2 and a training module 3;
the historical data acquisition module 1 is used for acquiring historical preservation data, wherein the historical preservation data comprises preservation degrees of different food materials at different temperatures and different storage times;
the preservation factor extraction module 2 is used for extracting preservation factors influencing food material preservation from the historical preservation data; the freshness-retaining factor includes at least one of temperature, humidity, carbon dioxide concentration, hydrogen sulfide concentration, ethanol gas concentration, and ammonia gas concentration.
The training module 3 is used for training the historical preservation data and the preservation factors based on a machine learning algorithm to obtain a determination model of the preservation degree of the food materials and preservation coefficients of the preservation factors of each food material at different temperatures and different storage times;
the determining model is used for determining the freshness degree of any food material.
In this embodiment, the determination model obtained by training is:
Figure BDA0002587391990000091
wherein f isk(tkAnd T) as a k-th food materialFreshness, tkThe storage time of the kth food material in the refrigerator, T is the real-time temperature, aiThe preservation coefficient, x, of the ith preservation factor of the kth food material under the T temperature and the T storage timeiIs the real-time value of the ith freshness factor, f (x)i) Is an influence function of the ith preservation factor on the food material preservation degree, and n is n preservation factors.
In addition, f (x)i) As an influence function of the ith preservation factor on the food material preservation degree, the determination of the function may depend on technical personnel to set according to actual conditions, and may be xiThe value itself, which may also be q.xiQ is a constant coefficient, and may be
Figure BDA0002587391990000092
And the like.
In the embodiment, the freshness degree of the food material is trained by using a machine learning algorithm based on freshness factors such as temperature and the like which influence the freshness of the food material, so that a freshness degree determining algorithm is obtained, based on the freshness degree determining algorithm, the freshness degree of any food material at different temperatures and different storage times can be obtained, and further, the freshness degree of the refrigerator can be judged by depending on the parameter.
Example 4
A control system for refrigerator fresh keeping is shown in figure 4 and comprises a current food material data acquisition module 4, a determination model acquisition module 5, a current fresh-keeping degree determination module 6, a fresh-keeping degree determination module 7 and a temperature regulation module 8;
the current food material data acquisition module 4 is configured to acquire current food material data stored in the refrigerator, where the current food material data includes current food materials and time information of each current food material put into the refrigerator;
the determination model obtaining module 5 is configured to obtain a determination model of the food material freshness degree by using the determination system of the food material freshness degree described in embodiment 3;
the current freshness degree determining module 6 is configured to determine the current freshness degree of each current food material according to the determining model;
the freshness degree determining module 7 is configured to determine the freshness degree of the refrigerator according to the current freshness degree;
the temperature adjusting module 8 is used for adjusting the temperature of the refrigerator according to the freshness preservation degree;
the current fresh-keeping degree determining module 6 is further configured to determine the temperature-adjusted fresh-keeping degree of each current food material;
the freshness degree determination module 7 is further configured to determine the freshness degree of the refrigerator after temperature adjustment according to the freshness degree after temperature adjustment;
the temperature adjusting module 8 is further configured to adjust the temperature of the refrigerator according to the freshness degree after temperature adjustment until the value of the freshness degree of the refrigerator is maximized.
The current food material data acquiring module 4 is configured to acquire the current food material data based on an image recognition technology;
and/or the current food material data acquisition module 4 is configured to acquire the current food material data based on an RFID tag set on a food material;
and/or the current food material data acquisition module 4 is used for acquiring a voice instruction sent by a user when the user puts food materials into a refrigerator, and recognizing the voice instruction to obtain the current food material data. The voice instruction includes: such as "i want to put beef, carrot, milk … …", after speech recognition, the user can be informed of the preferred placement area for each food material, including cold storage, freezing and temperature change areas.
It should be noted that, after the stored current food material is obtained based on the image or the RFID, if the current food material storage mode is incorrect, the user may be prompted to adjust the position of the corresponding food material.
The freshness degree determination module 7 solves the freshness degree according to the following formula, and specifically includes:
Figure BDA0002587391990000101
wherein F is the freshness, Fk(T, T) is the freshness degree of the kth food material, bkThe freshness coefficient of the kth food material is, and m is m current food materials; in addition, b iskThe coefficient may be set as a constant empirically or may be learned by a machine learning algorithm.
In this embodiment, referring to fig. 4, the control system further includes a determining module 9;
the judging module 9 is configured to judge whether the freshness degree of each current food material exceeds a preset freshness threshold, and if so, send out warning information, where the warning information is used to remind a user to process the current food material exceeding the freshness threshold.
In this embodiment, the freshness of the refrigerator is determined according to the insurance degree of each food material in the refrigerator, and the temperature of the refrigerator is adjusted based on the freshness, so that the value of the freshness of the refrigerator is improved to the maximum extent.
Example 5
An electronic device includes a memory, a processor, and a computer program stored on the memory and executable on the processor, wherein the processor implements the method for determining the freshness of food material according to embodiment 1 when executing the computer program.
Fig. 5 is a schematic structural diagram of an electronic device provided in this embodiment. Fig. 5 illustrates a block diagram of an exemplary electronic device 90 suitable for use in implementing embodiments of the present invention. The electronic device 90 shown in fig. 5 is only an example, and should not bring any limitation to the functions and the scope of use of the embodiment of the present invention.
As shown in fig. 5, the electronic device 90 may take the form of a general purpose computing device, which may be a server device, for example. The components of the electronic device 90 may include, but are not limited to: at least one processor 91, at least one memory 92, and a bus 93 that connects the various system components (including the memory 92 and the processor 91).
The bus 93 includes a data bus, an address bus, and a control bus.
Memory 92 may include volatile memory, such as Random Access Memory (RAM)921 and/or cache memory 922, and may further include Read Only Memory (ROM) 923.
Memory 92 may also include a program tool 925 having a set (at least one) of program modules 924, such program modules 924 including, but not limited to: an operating system, one or more application programs, other program modules, and program data, each of which, or some combination thereof, may comprise an implementation of a network environment.
The processor 91 executes various functional applications and data processing by running a computer program stored in the memory 92.
The electronic device 90 may also communicate with one or more external devices 94 (e.g., keyboard, pointing device, etc.). Such communication may be through an input/output (I/O) interface 95. Also, the electronic device 90 may communicate with one or more networks (e.g., a Local Area Network (LAN), a Wide Area Network (WAN), and/or a public network, such as the Internet) via a network adapter 96. The network adapter 96 communicates with the other modules of the electronic device 90 via the bus 93. It should be appreciated that although not shown in the figures, other hardware and/or software modules may be used in conjunction with the electronic device 90, including but not limited to: microcode, device drivers, redundant processors, external disk drive arrays, RAID (disk array) systems, tape drives, and data backup storage systems, etc.
It should be noted that although in the above detailed description several units/modules or sub-units/modules of the electronic device are mentioned, such a division is merely exemplary and not mandatory. Indeed, the features and functionality of two or more of the units/modules described above may be embodied in one unit/module, according to embodiments of the application. Conversely, the features and functions of one unit/module described above may be further divided into embodiments by a plurality of units/modules.
Example 6
A computer-readable storage medium, on which a computer program is stored, which, when executed by a processor, implements the steps of the method for determining a freshness degree of a food material according to embodiment 1.
More specific examples, among others, that the readable storage medium may employ may include, but are not limited to: a portable disk, a hard disk, random access memory, read only memory, erasable programmable read only memory, optical storage device, magnetic storage device, or any suitable combination of the foregoing.
In a possible implementation manner, the present invention can also be implemented in a form of a program product, which includes a program code, and when the program product runs on a terminal device, the program code is configured to enable the terminal device to execute a step of implementing the method for determining a freshness degree of a food material described in embodiment 1.
Where program code for carrying out the invention is written in any combination of one or more programming languages, the program code may be executed entirely on the user device, partly on the user device, as a stand-alone software package, partly on the user device and partly on a remote device or entirely on the remote device.
Example 7
An electronic device comprises a memory, a processor and a computer program stored on the memory and capable of running on the processor, wherein the processor executes the computer program to realize the control method for keeping the refrigerator fresh as described in embodiment 2.
Example 8
A computer-readable storage medium on which a computer program is stored, the program, when executed by a processor, implementing the steps of the method of controlling freshness of a refrigerator according to embodiment 2.
While specific embodiments of the invention have been described above, it will be appreciated by those skilled in the art that this is by way of example only, and that the scope of the invention is defined by the appended claims. Various changes and modifications to these embodiments may be made by those skilled in the art without departing from the spirit and scope of the invention, and these changes and modifications are within the scope of the invention.

Claims (16)

1. A method for determining the freshness degree of food materials is characterized by comprising the following steps:
acquiring historical preservation data, wherein the historical preservation data comprises the preservation degrees of different food materials at different temperatures and different storage times;
extracting preservation factors influencing the preservation of food materials from the historical preservation data;
training the historical preservation data and the preservation factors based on a machine learning algorithm to obtain a determination model of the preservation degree of the food materials and preservation coefficients of the preservation factors of each food material at different temperatures and different storage times;
the determining model is used for determining the freshness degree of any food material.
2. The method for determining the freshness degree of food material according to claim 1, wherein the determination model is as follows:
Figure FDA0002587391980000011
wherein f isk(tkT) is the freshness degree of the kth food material, TkThe storage time of the kth food material in the refrigerator, T is the real-time temperature, aiThe preservation coefficient, x, of the ith preservation factor of the kth food material under the T temperature and the T storage timeiIs the real-time value of the ith freshness factor, f (x)i) Is an influence function of the ith preservation factor on the food material preservation degree, and n is n preservation factors.
3. The method of determining the freshness of a food material of claim 1, wherein the freshness factors include at least one of temperature, humidity, carbon dioxide concentration, hydrogen sulfide concentration, ethanol gas concentration and ammonia gas concentration.
4. A control method for fresh keeping of a refrigerator is characterized by comprising the following steps:
acquiring current food material data stored in a refrigerator, wherein the current food material data comprises current food materials and time information of each current food material put into the refrigerator;
obtaining a determination model of the freshness degree of the food material by using the determination method of the freshness degree of the food material according to any one of claims 1 to 3;
determining the current freshness degree of each current food material according to the determination model;
determining the freshness of the refrigerator according to the current freshness;
adjusting the temperature of the refrigerator according to the freshness preservation degree;
determining the freshness degree of each current food material after temperature adjustment according to the determination model;
determining the freshness degree of the refrigerator after temperature adjustment according to the freshness degree after temperature adjustment;
and adjusting the temperature of the refrigerator according to the freshness after temperature adjustment until the value of the freshness of the refrigerator is maximized.
5. The method for controlling freshness preservation of a refrigerator according to claim 4, wherein the step of obtaining the current food material stored in the refrigerator specifically comprises:
acquiring the current food material data based on an image recognition technology;
and/or acquiring the current food material data based on the RFID label arranged on the food material;
and/or acquiring a voice instruction sent by a user when the user puts food materials into the refrigerator, and recognizing the voice instruction to obtain the current food material data.
6. The method for controlling fresh-keeping of a refrigerator according to claim 4, wherein in the step of determining the fresh-keeping degree of the refrigerator according to the current fresh-keeping degree, the step of solving the fresh-keeping degree according to the following formula specifically comprises:
Figure FDA0002587391980000021
Figure FDA0002587391980000022
wherein F is the freshness, Fk(T, T) is the freshness degree of the kth food material, bkThe freshness coefficient of the kth food material is, and m is m current food materials;
fk(tkt) is the freshness degree of the kth food material, TkThe storage time of the kth food material in the refrigerator, T is the real-time temperature, aiThe preservation coefficient, x, of the ith preservation factor of the kth food material under the T temperature and the T storage timeiIs the real-time value of the ith freshness factor, f (x)i) Is an influence function of the ith preservation factor on the food material preservation degree, and n is n preservation factors.
7. The method for controlling freshness of a refrigerator according to claim 4, wherein after the step of determining the current freshness degree of each current food material according to the determination model, the method further comprises:
judging whether the freshness of each current food material exceeds a preset freshness threshold, if so, sending out warning information, wherein the warning information is used for reminding a user to process the current food material exceeding the freshness threshold.
8. A system for determining food material fresh-keeping degree is characterized by comprising a historical data acquisition module, a fresh-keeping factor extraction module and a training module;
the historical data acquisition module is used for acquiring historical preservation data, and the historical preservation data comprises the preservation degrees of different food materials at different temperatures and different storage times;
the preservation factor extraction module is used for extracting preservation factors influencing food material preservation from the historical preservation data;
the training module is used for training the historical preservation data and the preservation factors based on a machine learning algorithm to obtain a determination model of the preservation degree of the food materials and preservation coefficients of the preservation factors of each food material at different temperatures and different storage times;
the determining model is used for determining the freshness degree of any food material.
9. The system for determining the freshness of food materials of claim 8, wherein the determination model is:
Figure FDA0002587391980000031
wherein f isk(tkT) is the freshness degree of the kth food material, TkThe storage time of the kth food material in the refrigerator, T is the real-time temperature, aiThe preservation coefficient, x, of the ith preservation factor of the kth food material under the T temperature and the T storage timeiIs the real-time value of the ith freshness factor, f (x)i) Is an influence function of the ith preservation factor on the food material preservation degree, and n is n preservation factors.
10. The system for determining the freshness of a food material of claim 8, wherein the freshness factors include at least one of temperature, humidity, carbon dioxide concentration, hydrogen sulfide concentration, ethanol gas concentration and ammonia gas concentration.
11. A control system for refrigerator fresh keeping is characterized by comprising a current food material data acquisition module, a determination model acquisition module, a current fresh-keeping degree determination module, a fresh-keeping degree determination module and a temperature regulation module;
the current food material data acquisition module is used for acquiring current food material data stored in the refrigerator, wherein the current food material data comprises current food materials and time information of each current food material put into the refrigerator;
the determination model obtaining module is used for obtaining a determination model of the food material freshness degree by using the determination system of the food material freshness degree as claimed in any one of claims 1 to 3;
the current fresh-keeping degree determining module is used for determining the current fresh-keeping degree of each current food material according to the determining model;
the freshness degree determining module is used for determining the freshness degree of the refrigerator according to the current freshness degree;
the temperature adjusting module is used for adjusting the temperature of the refrigerator according to the freshness preservation degree;
the current fresh-keeping degree determining module is also used for determining the fresh-keeping degree of each current food material after the temperature is adjusted;
the freshness degree determining module is also used for determining the freshness degree of the refrigerator after temperature adjustment according to the freshness degree after temperature adjustment;
the temperature adjusting module is also used for adjusting the temperature of the refrigerator according to the freshness after temperature adjustment until the value of the freshness of the refrigerator is maximized.
12. The freshness preservation control system for a refrigerator of claim 11,
the current food material data acquisition module is used for acquiring the current food material data based on an image recognition technology;
and/or the current food material data acquisition module is used for acquiring the current food material data based on the RFID tags arranged on food materials;
and/or the current food material data acquisition module is used for acquiring a voice instruction sent by a user when the user puts food materials into a refrigerator, and recognizing the voice instruction to obtain the current food material data.
13. The system for controlling freshness of a refrigerator according to claim 11, wherein the freshness determination module solves the freshness according to the following formula, specifically comprising:
Figure FDA0002587391980000041
Figure FDA0002587391980000042
wherein F is the freshness, Fk(T, T) is the freshness degree of the kth food material, bkThe freshness coefficient of the kth food material is, and m is m current food materials;
fk(tkt) is the freshness degree of the kth food material, TkThe storage time of the kth food material in the refrigerator, T is the real-time temperature, aiThe preservation coefficient, x, of the ith preservation factor of the kth food material under the T temperature and the T storage timeiIs the real-time value of the ith freshness factor, f (x)i) Is an influence function of the ith preservation factor on the food material preservation degree, and n is n preservation factors.
14. The control system for refreshing a refrigerator of claim 11, further comprising a judging module;
the judging module is used for judging whether the preservation degree of each current food material exceeds a preset preservation threshold value, if so, warning information is sent out, and the warning information is used for reminding a user to process the current food material exceeding the preservation threshold value.
15. An electronic device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the processor implements the method for determining the freshness of food material according to any one of claims 1 to 3 when executing the computer program;
and/or the processor, when executing the computer program, implements the method for controlling freshness of a refrigerator according to any one of claims 4 to 7.
16. A computer-readable storage medium, on which a computer program is stored, characterized in that said program, when executed by a processor, implements the steps of the method for determining the freshness of a food material according to any one of claims 1 to 3;
and/or the program, when executed by a processor, implements the steps of the method for controlling freshness of a refrigerator according to any one of claims 4 to 7.
CN202010685438.3A 2020-07-16 2020-07-16 Food material fresh-keeping degree determining method and refrigerator fresh-keeping control method and system Pending CN113945039A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202010685438.3A CN113945039A (en) 2020-07-16 2020-07-16 Food material fresh-keeping degree determining method and refrigerator fresh-keeping control method and system

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202010685438.3A CN113945039A (en) 2020-07-16 2020-07-16 Food material fresh-keeping degree determining method and refrigerator fresh-keeping control method and system

Publications (1)

Publication Number Publication Date
CN113945039A true CN113945039A (en) 2022-01-18

Family

ID=79326722

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202010685438.3A Pending CN113945039A (en) 2020-07-16 2020-07-16 Food material fresh-keeping degree determining method and refrigerator fresh-keeping control method and system

Country Status (1)

Country Link
CN (1) CN113945039A (en)

Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JPH01234783A (en) * 1988-03-11 1989-09-20 Matsushita Refrig Co Ltd Prerishible food freshness holding chamber
CN106705566A (en) * 2017-01-10 2017-05-24 青岛海尔股份有限公司 Fresh keeping control method and device of refrigerating equipment
CN107314609A (en) * 2017-06-28 2017-11-03 青岛海尔智能技术研发有限公司 food freshness detection method, device and refrigerator and detecting system
CN110608574A (en) * 2019-09-16 2019-12-24 珠海格力电器股份有限公司 Refrigerator and fresh-keeping control method thereof
CN111189273A (en) * 2018-11-15 2020-05-22 上海绿联软件股份有限公司 Temperature control method and device for refrigerator and computer readable storage medium

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JPH01234783A (en) * 1988-03-11 1989-09-20 Matsushita Refrig Co Ltd Prerishible food freshness holding chamber
CN106705566A (en) * 2017-01-10 2017-05-24 青岛海尔股份有限公司 Fresh keeping control method and device of refrigerating equipment
CN107314609A (en) * 2017-06-28 2017-11-03 青岛海尔智能技术研发有限公司 food freshness detection method, device and refrigerator and detecting system
CN111189273A (en) * 2018-11-15 2020-05-22 上海绿联软件股份有限公司 Temperature control method and device for refrigerator and computer readable storage medium
CN110608574A (en) * 2019-09-16 2019-12-24 珠海格力电器股份有限公司 Refrigerator and fresh-keeping control method thereof

Similar Documents

Publication Publication Date Title
US11614249B2 (en) Refrigerant leak detection method and device for air conditioner
CN112668394B (en) On-line prediction method and system for agricultural greenhouse production
WO2018068754A1 (en) Refrigerator control method, and refrigerator
CN115512520A (en) Gas use safety early warning method based on intelligent gas and Internet of things system
US20210222904A1 (en) Method and apparatus for predicting time-series data
US11371741B2 (en) Air conditioning apparatus and method for controlling using learned sleep modes
CN114879786A (en) Method, system, device and medium for acquiring edible fungus decision scheme
CN110542178B (en) Air conditioner and refrigerator room control method and system with self-learning capability
CN108691795B (en) The fan control of electronic equipment and modification method
CN116451145A (en) Cooling device and method for stem cell transportation
CN116839173A (en) Energy consumption optimization method and device, storage medium and electronic equipment
CN113945039A (en) Food material fresh-keeping degree determining method and refrigerator fresh-keeping control method and system
CN110619407B (en) Object sales prediction method and system, electronic device and storage medium
CN107392393A (en) A kind of stem cell transportation remote system that there is environmental forecasting and automatically adjust
CN111927810B (en) Charging and discharging information data processing method and device applied to handheld fan
US11769319B2 (en) Method and device for predicting beauty based on migration and weak supervision, and storage medium
US11290536B2 (en) Updating automated communication replies based on detected situations
US20230168027A1 (en) Control system and control method of refrigeration environment in closed space based on computer vision
CN115842847A (en) Water meter intelligent control method, system and medium based on Internet of things
US11847186B2 (en) Methods and systems for obtaining user evulation used in natural gas energy measurement
CN113940523A (en) Self-adjusting method and device of intelligent mattress, intelligent mattress and storage medium
CN114546006A (en) Intelligent control method and system for cashew nut storage environment
CN111783946A (en) Plant nutrient automatic separation method and device based on image processing and electronic equipment
CN111581178A (en) Ceph system performance tuning strategy and system based on deep reinforcement learning
CN117893138B (en) Intelligent granary operation data supervision system and method applying low-temperature grain storage

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
RJ01 Rejection of invention patent application after publication
RJ01 Rejection of invention patent application after publication

Application publication date: 20220118