CN112984947B

CN112984947B - Temperature control method and device for refrigerator and intelligent control storage medium

Info

Publication number: CN112984947B
Application number: CN202110249074.9A
Authority: CN
Inventors: 孙业树; 高渊文; 铁海峰; 饶钧; 陈刚
Original assignee: Shanghai Lvlian Intelligent Technology Co ltd
Current assignee: Shanghai Lvlian Intelligent Technology Co ltd
Priority date: 2021-03-08
Filing date: 2021-03-08
Publication date: 2021-11-02
Anticipated expiration: 2041-03-08
Also published as: CN112984947A

Abstract

The invention discloses a temperature control method of a refrigerator, which comprises the following steps: measuring and storing the surface temperature of each layer of food material in the refrigerator storage chamber through infrared scanning, and analyzing temperature data to obtain temperature spectrum data of the surface of the food material; measuring and storing the refrigerating temperature in the refrigerator storage chamber, and expanding and calculating refrigerating temperature data to obtain temperature gradient data; performing operation analysis on temperature spectrum data on the surface of the food material, and comparing and judging the temperature spectrum data with refrigeration temperature gradient data in a refrigerator storage chamber; controlling the refrigeration temperature of the refrigerator and adjusting the temperature gradient according to the comparison judgment result; storing the adjustment data, and continuously optimizing the control process by reading the stored data and analyzing the temperature curve; a temperature control apparatus of a refrigerator, comprising: the intelligent refrigeration temperature measurement system comprises an integrated intelligent infrared temperature measurement sensor module, an integrated intelligent refrigeration temperature measurement sensor module and an integrated intelligent storage medium module; an intelligent control storage medium realizes the temperature control method of the refrigerator.

Description

Temperature control method and device for refrigerator and intelligent control storage medium

Technical Field

The present invention relates to the field of automatic control, and more particularly, to a method and apparatus for controlling temperature of a refrigerator, and an intelligent control storage medium.

Background

The infrared scanning temperature measurement can be used for quickly scanning and measuring the surface of an object, and particularly has a specific temperature measurement advantage in a humid and dark environment in a refrigerator storage chamber; however, it is a technical difficulty how to measure the temperature of the surface of each layer of food material in the refrigerator storage chamber by infrared scanning; how to obtain temperature gradient data by measuring and expanding refrigeration temperature data still has little technical proposal; in addition, how to compare and judge the temperature data of the surface of the food material with the refrigerating temperature gradient data in the refrigerator storage chamber, and controlling the refrigerating temperature of the refrigerator and adjusting the temperature gradient is a technical point to be solved; the storage and reading of data are adjusted, the temperature curve is analyzed, and the continuous optimization control process is still the problem which is not completely solved at the present stage; the sensitivity is affected by the electromechanical coupling of the common scanning structure; the problem of single infrared temperature measurement is caused by incomplete temperature measurement induction on an object; therefore, there is a need for a temperature control method, apparatus and intelligent control storage medium for a refrigerator to at least partially solve the problems in the prior art.

Disclosure of Invention

In this summary, concepts in a simplified form are introduced that are further described in the detailed description. This summary of the invention is not intended to identify key features or essential features of the claimed subject matter, nor is it intended to be used as an aid in determining the scope of the claimed subject matter.

To at least partially solve the above problems, the present invention provides a temperature control method of a refrigerator, including:

s100, measuring and storing the surface temperature of each layer of food material in a refrigerator storage chamber through infrared scanning, and analyzing temperature data to obtain temperature spectrum data of the surface of the food material;

s200, measuring and storing the refrigerating temperature in the refrigerator storage chamber, and expanding and calculating refrigerating temperature data to obtain temperature gradient data;

s300, performing operation analysis on temperature spectrum data of the surface of the food material, and comparing and judging the temperature spectrum data with refrigerating temperature gradient data in a refrigerator storage chamber;

s400, controlling the refrigerating temperature of the refrigerator and adjusting the temperature gradient according to the comparison judgment result;

and S500, storing the adjusting data, and continuously optimizing the control process by reading the stored data and analyzing the temperature curve.

Preferably, S100 includes:

s101, arranging infrared temperature measuring sensors on storage layers of a refrigerator storage room;

s102, enabling an infrared scanning range to cover the surface of the food material by adjusting the angle of the infrared temperature measuring sensor;

s103, performing infrared coverage scanning measurement on the food materials in the refrigerator storage chamber through infrared scanning of the food material surface;

s104, detecting infrared scanning reflection signals in the refrigerator storage chamber, obtaining a temperature coverage spectrum of the surface of food materials in the refrigerator storage chamber through the reflection signals, and obtaining a temperature stratification spectrum of each layer of refrigerating surface;

s105, comparing and analyzing the change trends of the temperature coverage spectrum and the temperature stratification spectrum according to whether the refrigerator is in a refrigerating state or not;

s106, if the refrigerator is in a refrigerating state, the temperature reduction spectral line data of the temperature stratification spectrum of the refrigerating surface is larger than the temperature reduction spectral line data of the temperature coverage spectrum;

s107, if the refrigerator is not in a refrigerating state, the temperature reduction spectral line data of the temperature stratification spectrum of the refrigerating surface is not larger than the temperature coverage spectrum reduction spectral line data;

and S108, obtaining temperature spectrum data of the surface of the food material in the refrigerator storage chamber through spectral line data analysis.

Preferably, S200 includes:

s201, measuring the temperature of a refrigerating part of a first storage layer of the refrigerator to obtain the refrigerating temperature of the first storage layer of the refrigerator;

s202, measuring the temperature of a refrigerating part of a second storage layer of the refrigerator to obtain the refrigerating temperature of the second storage layer of the refrigerator;

s203, recording the refrigerating temperature of the first storage layer of the refrigerator and the refrigerating temperature data of the second storage layer of the refrigerator through cache;

s204, performing data combination on the refrigeration temperature of the first storage layer of the refrigerator, the refrigeration temperature data of the second storage layer of the refrigerator and the refrigerator layering data to obtain refrigeration temperature layering combination data;

s205, according to the refrigeration temperature layering combination data, carrying out gradient expansion to obtain the refrigeration temperatures of all layers of the refrigerator;

s206, storing the refrigerating temperature of all layers of the refrigerator, expanding and calculating the refrigerating temperature gradient data of all layers of the refrigerator,

the calculation formula is as follows:

wherein:

is a temperature gradientData values, H is the height of the storage chamber of the refrigerator, T is the variation of the temperature in the x and y directions, v_xIs the value of the velocity component in the x direction, v_yIs the y-direction velocity component value, gamma is the thermal conductivity value, rho is the fluid density value, C_pThe calculation process parameter adopts numerical calculation for the specific heat capacity value; and calculating refrigeration temperature data by expansion to obtain temperature gradient data.

Preferably, S300 includes:

s301, reading temperature spectrum data of the surface of the food material;

s302, calculating the convection heat exchange efficiency coefficient of the surface refrigeration of food materials in the refrigerator, wherein the calculation formula of the convection heat exchange efficiency coefficient is as follows:

wherein L is_iV is the air convection velocity on the surface of the food material in the refrigerator storage chamber during the refrigeration process, epsilon_dIs the mass concentration of water in dry air, epsilon_aIs the mass concentration of water in the humid air, L_adIs the molar mass of dry air, L_vIs the molar mass of water vapour, T_aIs the air temperature in the storage compartment of the refrigerator;

s303, according to the convection heat exchange efficiency coefficient of the surface of the refrigerator food material, carrying out statistical distribution to obtain heat exchange efficiency distribution data;

s304, reading preset temperature value data stored in food materials;

s305, comparing the temperature spectrum data of the surface of the food material with preset constant temperature value data stored in the food material, performing joint analysis on the temperature spectrum data and the heat exchange efficiency distribution data, and obtaining temperature difference joint heat exchange efficiency data;

s306, comparing and judging the temperature difference joint heat exchange efficiency data and the refrigerating temperature gradient data in the refrigerator storage chamber.

Preferably, S400 includes:

s401, judging temperature difference joint heat exchange efficiency data and refrigerating temperature gradient data in a refrigerator storage chamber;

s402, if the temperature difference joint heat exchange efficiency exceeds the refrigerating temperature gradient in the refrigerator storage chamber, increasing the mass concentration of moisture in dry air, increasing the air humidity in the refrigerator storage chamber, reducing the mass concentration of moisture in wet air, reducing the temperature of the upper layer of the refrigerating temperature gradient, and increasing the air convection speed;

s403, if the temperature difference joint heat exchange efficiency does not exceed the refrigerating temperature gradient in the refrigerator storage chamber, reducing the mass concentration of moisture in dry air, reducing the air humidity in the refrigerator storage chamber, increasing the mass concentration of moisture in wet air, stopping reducing the temperature of the upper layer of the refrigerating temperature gradient, and reducing the air convection speed;

s404, controlling the refrigerating temperature of the refrigerator and adjusting the temperature gradient by increasing or decreasing the air humidity in the refrigerator storage chamber and increasing or decreasing the air convection speed in the refrigerator storage chamber.

Preferably, S500 includes:

s501, storing process data for controlling the refrigerating temperature and adjusting the temperature gradient of the refrigerator;

s502, reading the stored refrigeration temperature adjusting process data through a computer, and drawing a refrigeration temperature adjusting process data curve;

s503, analyzing the flatness and the variation trend of a data curve in the refrigeration temperature adjusting process, and carrying out fitting analysis on the curve of the calculated value of the surface heat dissipation of the food material; if the curve variation trend of the data in the refrigeration temperature adjusting process and the calculated value curve of the surface heat dissipation of the food material can be fitted, continuing to track and adjust the process data; and if the data curve variation trend in the refrigeration temperature adjusting process and the calculated value curve of the surface heat dissipation of the food material cannot be fitted, adjusting and controlling the set temperature, and continuously optimizing the control process.

A temperature control apparatus of a refrigerator, comprising: the intelligent refrigeration temperature measurement system comprises an integrated intelligent infrared temperature measurement sensor module, an integrated intelligent refrigeration temperature measurement sensor module and an integrated intelligent storage medium module;

the integrated intelligent infrared temperature measuring sensor module is used for measuring and storing the surface temperature of each layer of food material in the refrigerator storage chamber through infrared scanning, and analyzing temperature data to obtain temperature spectrum data of the surface of the food material;

the integrated intelligent refrigeration temperature measurement sensor module is used for measuring and storing the refrigeration temperature in the refrigerator storage chamber, and expanding the stored refrigeration temperature to obtain temperature gradient data;

the integrated intelligent storage medium module is used for carrying out operation analysis on temperature spectrum data on the surface of food materials and comparing and judging the temperature spectrum data with refrigerating temperature gradient data in a refrigerator storage chamber; controlling the refrigeration temperature of the refrigerator and adjusting the temperature gradient according to the comparison judgment result; the adjustment data is stored and the control process is continuously optimized by reading the stored data and analyzing the temperature curve.

Preferably, the integrated intelligent infrared temperature measurement sensor module includes: the device comprises an infrared temperature measurement sensor setting unit, an infrared temperature measurement sensor adjusting unit, an infrared temperature measurement sensor layered scanning unit, an infrared temperature measurement sensor detecting unit, a temperature data analyzing unit and a temperature spectrum data recording unit;

the infrared temperature measurement sensor setting unit is used for setting the infrared temperature measurement sensor on a storage layer of a storage room of the refrigerator;

the infrared temperature measurement sensor adjusting unit is used for adjusting the detection angle of the infrared temperature measurement sensor so as to enable infrared scanning to cover the surface of the food material;

the infrared temperature measurement sensor layered scanning unit is used for performing infrared coverage scanning measurement on the food materials in the refrigerator storage chamber through infrared scanning of the food material surface;

the infrared temperature measurement sensor detection unit is used for detecting infrared scanning reflection signals in the refrigerator storage chamber, obtaining a temperature coverage spectrum of the surface of food materials in the refrigerator storage chamber through the reflection signals and obtaining a temperature stratification spectrum of each layer of refrigerating surface;

the temperature data analysis unit is used for comparing and analyzing the variation trend of the temperature coverage spectrum and the temperature stratification spectrum according to whether the refrigerator is in a refrigeration state or not; if the refrigerator is in a refrigerating state, the temperature falling spectral line data of the temperature stratification spectrum of the refrigerating surface is larger than the temperature covering spectrum falling spectral line data; if the refrigerator is not in a refrigerating state, the temperature falling spectral line data of the temperature stratification spectrum of the refrigerating surface is not larger than the temperature covering spectrum falling spectral line data;

and the temperature spectrum data recording unit is used for obtaining the temperature spectrum data of the surface of the food material in the refrigerator storage chamber through spectral line data analysis.

Preferably, the integrated intelligent refrigeration thermometry sensor module includes: the system comprises a first storage layer refrigeration temperature measurement sensor unit, a second storage layer refrigeration temperature measurement sensor unit, a temperature cache recording unit, a refrigeration temperature layering combination unit, a refrigeration temperature gradient expansion unit, a temperature gradient cache calculation unit and an integrated intelligent storage medium module;

the first storage layer refrigeration temperature measurement sensor unit is used for measuring the temperature of a refrigeration part of the first storage layer of the refrigerator to obtain the refrigeration temperature of the first storage layer of the refrigerator;

the second storage layer refrigeration temperature measurement sensor unit is used for measuring the temperature of a refrigeration part of a second storage layer of the refrigerator to obtain the refrigeration temperature of the second storage layer of the refrigerator;

the temperature cache recording unit is used for recording the refrigerating temperature of the first storage layer of the refrigerator and the refrigerating temperature data of the second storage layer of the refrigerator through cache;

the refrigeration temperature layering combination unit is used for carrying out data combination on the refrigeration temperature of the first storage layer of the refrigerator, the refrigeration temperature data of the second storage layer of the refrigerator and the refrigerator layering data to obtain refrigeration temperature layering combination data;

the refrigeration temperature gradient expansion unit is used for carrying out gradient expansion according to refrigeration temperature layering combination data to obtain the refrigeration temperatures of all layers of the refrigerator;

the temperature gradient cache calculation unit is used for storing the refrigeration temperatures of all the layers of the refrigerator and expanding and calculating the refrigeration temperature gradient data of all the layers of the refrigerator, and a calculation formula is as follows:

wherein:

is the data value of temperature gradient, H is the height value of the storage chamber of the refrigerator, T is the variation of the temperature in the x and y directions, v_xIs the value of the velocity component in the x direction, v_yIs the y-direction velocity component value, gamma is the thermal conductivity value, rho is the fluid density value, C_pThe calculation process parameter adopts numerical calculation for the specific heat capacity value; calculating refrigeration temperature data in an expanding manner to obtain temperature gradient data;

the integrated smart storage media module comprising: the intelligent refrigerator data processing module and the intelligent storage medium module are arranged on the refrigerator;

the refrigerator data intelligent processing module is used for comparing and judging the temperature of the surface of the food material with the refrigerating temperature in the refrigerator storage chamber, controlling the refrigerating temperature of the refrigerator, adjusting the temperature gradient, and analyzing and comparing a temperature measurement curve by reading the data stored by the intelligent storage medium module; reading temperature spectrum data of the surface of the food material; calculating the convection heat exchange efficiency coefficient of the surface refrigeration of food materials in the refrigerator, wherein the calculation formula of the convection heat exchange efficiency coefficient is as follows:

wherein L is_iV is the air convection velocity on the surface of the food material in the refrigerator storage chamber during the refrigeration process, epsilon_dIs the mass concentration of water in dry air, epsilon_aIs the mass concentration of water in the humid air, L_adIs the molar mass of dry air, L_vIs the molar mass of water vapour, T_aIs the air temperature in the storage compartment of the refrigerator; according to the convection heat exchange efficiency coefficient of the surface of the refrigerator food material, carrying out statistical distribution to obtain heat exchange efficiency distribution data; reading preset temperature value data stored in food materials; comparing the temperature spectrum data of the surface of the food material with preset temperature value data stored in the food material, performing joint analysis on the temperature spectrum data and the heat exchange efficiency distribution data, and obtaining temperature difference joint heat exchange efficiency data; comparing and judging the temperature difference joint heat exchange efficiency data and the refrigerating temperature gradient data in the refrigerator storage chamber; data for judging temperature difference joint heat exchange efficiency and refrigerator storageIndoor refrigeration temperature gradient data; if the temperature difference joint heat exchange efficiency exceeds the refrigerating temperature gradient in the refrigerator storage chamber, the mass concentration of the moisture in dry air is increased, the air humidity in the refrigerator storage chamber is increased, the mass concentration of the moisture in wet air is reduced, the temperature of the upper layer of the refrigerating temperature gradient is reduced, and the air convection speed is increased; if the temperature difference joint heat exchange efficiency does not exceed the refrigerating temperature gradient in the refrigerator storage chamber, the mass concentration of the moisture in dry air is reduced, the air humidity in the refrigerator storage chamber is reduced, the mass concentration of the moisture in wet air is increased, the temperature of the upper layer of the refrigerating temperature gradient is stopped to be reduced, and the air convection speed is reduced; the refrigerating temperature of the refrigerator is controlled and the temperature gradient is adjusted by increasing or decreasing the air humidity in the refrigerator storage chamber and increasing or decreasing the air convection speed in the refrigerator storage chamber.

The intelligent storage medium module is used for storing adjustment data, storing optimization control process data, and continuously optimizing the control process by combining with an analysis curve of the refrigerator data intelligent processing module; storing process data for controlling the refrigeration temperature and adjusting the temperature gradient of the refrigerator; reading the stored refrigeration temperature regulation process data through a computer, and drawing a refrigeration temperature regulation process data curve; analyzing the flatness and the variation trend of a data curve in the refrigeration temperature adjusting process, and carrying out goodness of fit analysis on a calculated value curve of the surface heat dissipation of the food material; if the change trend of the data curve of the refrigeration temperature adjusting process is matched with the calculated value curve of the surface heat dissipation of the food material, the control setting is reasonable, and the data of the adjusting process is continuously tracked; and if the variation trend of the data curve of the refrigeration temperature adjusting process is not matched with the calculated value curve of the surface heat dissipation of the food material, adjusting and controlling the set temperature, and continuously optimizing the control process.

An intelligent control storage medium implementing any one of the preferable temperature control methods of the refrigerator.

Compared with the prior art, the invention at least comprises the following beneficial effects:

the temperature of the surface of each layer of food material in the refrigerator storage chamber is measured and stored through infrared scanning, and the temperature data can be analyzed to obtain temperature spectrum data of the surface of the food material; the refrigeration temperature in the refrigerator storage chamber is measured and stored, so that refrigeration temperature data can be expanded and calculated to obtain temperature gradient data; comparing and judging temperature spectrum data on the surface of food materials and refrigerating temperature gradient data in a refrigerator storage chamber, wherein the spectrum data and the gradient data are adopted in a judging mode and are closer to actual temperature value distribution; the temperature gradient data is adopted to be relative to the point-surface data, so that the real refrigeration state is more approximate, and the refrigeration data of the refrigerator is more accurate and reasonable; according to the comparison and judgment result, the refrigeration temperature of the refrigerator can be controlled, and the temperature gradient can be adjusted; by storing the adjustment data and by reading the stored data, the temperature profile can be analyzed and the control process can be continuously optimized.

Other advantages, objects, and features of the present invention will be in part apparent from the following description and in part will become apparent to those skilled in the art upon examination of the following or may be learned from practice of the present invention.

Drawings

The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate embodiments of the invention and together with the description serve to explain the principles of the invention and not to limit the invention. In the drawings:

fig. 1 is a step diagram of a temperature control method of a refrigerator according to the present invention.

Fig. 2 is a structural diagram of a temperature control device and an intelligent control storage medium of a refrigerator according to the present invention.

Detailed Description

The present invention is further described in detail below with reference to the drawings and examples so that those skilled in the art can practice the invention with reference to the description.

As shown in fig. 1, the present invention provides a temperature control method of a refrigerator, including:

The working principle of the technical scheme is as follows: measuring and storing the surface temperature of each layer of food material in the refrigerator storage chamber through infrared scanning, and analyzing temperature data to obtain temperature spectrum data of the surface of the food material; measuring and storing the refrigerating temperature in the refrigerator storage chamber, and expanding and calculating refrigerating temperature data to obtain temperature gradient data; performing operation analysis on temperature spectrum data on the surface of the food material, and comparing and judging the temperature spectrum data with refrigeration temperature gradient data in a refrigerator storage chamber; controlling the refrigeration temperature of the refrigerator and adjusting the temperature gradient according to the comparison judgment result; the adjustment data is stored and the control process is continuously optimized by reading the stored data and analyzing the temperature curve.

The beneficial effects of the above technical scheme are that: the temperature of the surface of each layer of food material in the refrigerator storage chamber is measured and stored through infrared scanning, and the temperature data can be analyzed to obtain temperature spectrum data of the surface of the food material; the refrigeration temperature in the refrigerator storage chamber is measured and stored, so that refrigeration temperature data can be expanded and calculated to obtain temperature gradient data; the temperature spectrum data on the surface of the food material is operated and analyzed and is compared with the refrigerating temperature gradient data in the refrigerator storage chamber for judgment, and the spectrum data and the gradient data are adopted in a judgment mode, so that the temperature spectrum data is closer to the actual temperature value distribution; the temperature gradient data is adopted to be relative to the point-surface data, so that the real refrigeration state is more approximate, and the refrigeration data of the refrigerator is more accurate and reasonable; according to the comparison and judgment result, the refrigeration temperature of the refrigerator can be controlled, and the temperature gradient can be adjusted; by storing the adjustment data and by reading the stored data, the temperature profile can be analyzed and the control process can be continuously optimized.

In one embodiment, S100 includes:

The working principle of the technical scheme is as follows: by utilizing the infrared scanning reflection temperature measurement principle, infrared temperature measurement sensors are arranged on storage layers of the refrigerator; the angle of the infrared temperature measuring sensor is adjusted, so that the infrared scanning line scanning range covers the surface of the food material; performing infrared coverage scanning measurement on the food materials in the refrigerator storage chamber through infrared scanning of the surfaces of the covered food materials; detecting infrared scanning reflection signals in the refrigerator storage chamber, obtaining a temperature coverage spectrum of the surface of food materials in the refrigerator storage chamber through the reflection signals, and obtaining a temperature stratification spectrum of each layer of refrigerating surface; according to whether the refrigerator is in a refrigerating state or not, the variation trends of the temperature coverage spectrum and the temperature stratification spectrum can be contrasted and analyzed; if the refrigerator is in a refrigerating state, the temperature falling spectral line data of the temperature stratification spectrum of the refrigerating surface is larger than the temperature covering spectrum falling spectral line data; if the refrigerator is not in a refrigerating state, the temperature falling spectral line data of the temperature stratification spectrum of the refrigerating surface is not larger than the temperature covering spectrum falling spectral line data; and obtaining temperature spectrum data of the surface of the food material in the refrigerator storage chamber through spectral line data analysis.

The beneficial effects of the above technical scheme are that: by arranging the infrared temperature measurement sensors on the storage layers of the refrigerator storage room, each layer of the refrigerator storage room can be covered by infrared scanning, the problem of inaccurate measurement and monitoring caused by temperature difference between an upper layer and a lower layer can be avoided, and the data layering of measurement and monitoring is improved; the infrared scanning line scanning range can cover the surface of the food material by adjusting the angle of the infrared temperature measuring sensor; through the infrared scanning of the surface of the food material, the food material in the refrigerator storage chamber can be subjected to infrared coverage scanning measurement; detecting infrared scanning reflection signals in the refrigerator storage chamber, obtaining a temperature coverage spectrum of the surface of food materials in the refrigerator storage chamber through the reflection signals, and obtaining a temperature stratification spectrum of each layer of refrigerating surface; according to whether the refrigerator is refrigerating or not, the variation trends of the temperature coverage spectrum and the temperature stratification spectrum can be contrasted and analyzed; if the refrigerator is in a refrigerating state, the temperature falling spectral line data of the temperature stratification spectrum of the refrigerating surface is larger than the temperature covering spectrum falling spectral line data; if the refrigerator is not in a refrigerating state, the temperature falling spectral line data of the temperature stratification spectrum of the refrigerating surface is not larger than the temperature covering spectrum falling spectral line data; and obtaining temperature spectrum data of the surface of the food material in the refrigerator storage chamber through spectral line data analysis.

In one embodiment, S200 includes:

the calculation formula is as follows:

wherein:

is the data value of temperature gradient, H is the height value of the storage chamber of the refrigerator, T is the variation of the temperature in the x and y directions, v_xIs the value of the velocity component in the x direction, v_yIs the y-direction velocity component value, gamma is the thermal conductivity value, rho is the fluid density value, C_pThe calculation process parameter adopts numerical calculation for the specific heat capacity value; and calculating refrigeration temperature data by expansion to obtain temperature gradient data.

The working principle of the technical scheme is as follows: measuring the temperature of the refrigerating part of the first storage layer of the refrigerator to obtain the refrigerating temperature of the first storage layer of the refrigerator; the refrigeration temperature of the second storage layer of the refrigerator is obtained by measuring the temperature of the refrigeration part of the second storage layer of the refrigerator; recording the refrigeration temperature of a first storage layer of the refrigerator and the refrigeration temperature data of a second storage layer of the refrigerator through caching; performing data combination on the refrigeration temperature of the first storage layer of the refrigerator, the refrigeration temperature data of the second storage layer of the refrigerator and the refrigerator hierarchical data to obtain refrigeration temperature hierarchical combination data; according to the refrigeration temperature, gradient expansion is carried out by combining data in a layered mode to obtain the refrigeration temperatures of all layers of the refrigerator; the refrigeration temperatures of all layers of the refrigerator are stored, refrigeration temperature gradient data of all layers of the refrigerator are calculated in an expanded mode, temperature gradient data values are calculated, numerical calculation is adopted for process parameters, all parameters are converted into unit-free values through numerical removal, conversion of the process data is simplified rapidly, and operation efficiency and rapid output of results are improved; and calculating refrigeration temperature data by expansion to obtain temperature gradient data.

The beneficial effects of the above technical scheme are that: measuring the temperature of the refrigerating part of the first storage layer of the refrigerator to obtain the refrigerating temperature of the first storage layer of the refrigerator; the refrigeration temperature of the second storage layer of the refrigerator is obtained by measuring the temperature of the refrigeration part of the second storage layer of the refrigerator; recording the refrigeration temperature of a first storage layer of the refrigerator and the refrigeration temperature data of a second storage layer of the refrigerator through caching; performing data combination on the refrigeration temperature of the first storage layer of the refrigerator, the refrigeration temperature data of the second storage layer of the refrigerator and the refrigerator hierarchical data to obtain refrigeration temperature hierarchical combination data; according to the refrigeration temperature, gradient expansion is carried out by combining data in a layered mode to obtain the refrigeration temperatures of all layers of the refrigerator; the refrigeration temperatures of all layers of the refrigerator are stored, refrigeration temperature gradient data of all layers of the refrigerator are calculated in an expanded mode, temperature gradient data values are calculated, and numerical calculation is adopted for calculating process parameters, so that conversion of process data can be simplified quickly, and the operation efficiency and the result can be output quickly; the temperature gradient data can be obtained by calculating refrigeration temperature data in an expanding way.

In one embodiment, S300 includes:

s301, reading temperature spectrum data of the surface of the food material;

s304, reading preset temperature value data stored in food materials;

The working principle of the technical scheme is as follows: reading temperature spectrum data of the surface of the food material; calculating the convection heat exchange efficiency coefficient of the surface refrigeration of food materials in the refrigerator; by referring to the convection heat exchange efficiency coefficient, the air convection velocity on the surface of the food material in the refrigerating process in the refrigerator storage chamber, the mass concentration of moisture in dry air, the mass concentration of moisture in wet air, the molar mass of dry air, the molar mass of water vapor, the air temperature in the refrigerator storage chamber and other parameters; according to the convection heat exchange efficiency coefficient of the surface of the refrigerator food material, carrying out statistical distribution to obtain heat exchange efficiency distribution data; reading preset temperature value data stored in food materials; comparing the temperature spectrum data of the surface of the food material with preset temperature value data stored in the food material, performing joint analysis on the temperature spectrum data and the heat exchange efficiency distribution data, and obtaining temperature difference joint heat exchange efficiency data; and comparing and judging the temperature difference joint heat exchange efficiency data and the refrigerating temperature gradient data in the refrigerator storage chamber.

The beneficial effects of the above technical scheme are that: reading temperature spectrum data of the surface of the food material and reading preset temperature value data of the stored food material; calculating the convection heat exchange efficiency of the surface refrigeration of food materials in the refrigerator; comparing the temperature spectrum data of the surface of the food material with preset temperature value data stored in the food material; the temperature spectrum data of the surface of the food material can be read; the convection heat exchange efficiency coefficient of the surface refrigeration of food materials in the refrigerator can be calculated; according to the convection heat exchange efficiency coefficient of the surface of the refrigerator food material, heat exchange efficiency distribution data are obtained through statistical distribution by referring to parameters such as convection heat exchange efficiency coefficient, air convection speed of the surface of the food material in the refrigerator storage chamber in the refrigeration process, mass concentration of moisture in dry air, mass concentration of moisture in wet air, molar mass of dry air, molar mass of water vapor, air temperature in the refrigerator storage chamber and the like; reading preset temperature value data stored in food materials; comparing the temperature spectrum data of the surface of the food material with preset temperature value data stored in the food material, performing joint analysis on the temperature spectrum data and the heat exchange efficiency distribution data, and obtaining temperature difference joint heat exchange efficiency data; the temperature difference joint heat exchange efficiency data and the refrigerating temperature gradient data in the refrigerator storage chamber can be compared and judged; the analysis is more reasonable, and the calculation method and the corresponding comparison of the gradient data are more adaptive and extensible; the comparison and judgment can reflect the refrigeration analysis and judgment state of the refrigerator.

In one embodiment, S400 includes:

The working principle of the technical scheme is as follows: judging temperature difference joint heat exchange efficiency data and refrigerating temperature gradient data in a refrigerator storage chamber according to a temperature difference gradient judging method; if the temperature difference joint heat exchange efficiency exceeds the refrigerating temperature gradient in the refrigerator storage chamber, the mass concentration of the moisture in dry air is increased, the air humidity in the refrigerator storage chamber is increased, the mass concentration of the moisture in wet air is reduced, the temperature of the upper layer of the refrigerating temperature gradient is reduced, and the air convection speed is increased; if the temperature difference joint heat exchange efficiency does not exceed the refrigerating temperature gradient in the refrigerator storage chamber, the mass concentration of the moisture in dry air is reduced, the air humidity in the refrigerator storage chamber is reduced, the mass concentration of the moisture in wet air is increased, the temperature of the upper layer of the refrigerating temperature gradient is stopped to be reduced, and the air convection speed is reduced; the judgment can also be carried out by the temperature spectrum data of the surface of the food material and the preset constant temperature value data of the food material storage; the refrigerating temperature of the refrigerator is controlled and the temperature gradient is adjusted by increasing or decreasing the air humidity in the refrigerator storage chamber and increasing or decreasing the air convection speed in the refrigerator storage chamber.

The beneficial effects of the above technical scheme are that: judging temperature difference joint heat exchange efficiency data and refrigerating temperature gradient data in a refrigerator storage chamber; detailed data spectral lines and spectra of the temperature spectrum data can be compared with set temperature value data, detailed data trends and coverage data of the temperature spectrum data can be compared in detail, detailed segmentation of the temperature data can be achieved, and the data comparison has reference significance and is close to actual data value; if the temperature difference joint heat exchange efficiency exceeds the refrigerating temperature gradient in the refrigerator storage chamber, the mass concentration of the moisture in dry air is increased, the air humidity in the refrigerator storage chamber is increased, the mass concentration of the moisture in wet air is reduced, the temperature of the upper layer of the refrigerating temperature gradient is reduced, and the air convection speed is increased; if the temperature difference joint heat exchange efficiency does not exceed the refrigerating temperature gradient in the refrigerator storage chamber, the mass concentration of the moisture in dry air is reduced, the air humidity in the refrigerator storage chamber is reduced, the mass concentration of the moisture in wet air is increased, the temperature of the upper layer of the refrigerating temperature gradient is stopped to be reduced, and the air convection speed is reduced; the judgment can be carried out by the temperature spectrum data of the surface of the food material and the preset temperature value data of the food material storage; the refrigerating temperature of the refrigerator can be controlled and the temperature gradient can be adjusted by increasing or decreasing the air humidity in the refrigerator storage chamber and increasing or decreasing the air convection speed in the refrigerator storage chamber.

In one embodiment, S500 includes:

The working principle of the technical scheme is as follows: storing process data for controlling the refrigeration temperature and adjusting the temperature gradient of the refrigerator; reading the stored refrigeration temperature regulation process data through a computer, and drawing a refrigeration temperature regulation process data curve; analyzing the flatness and the variation trend of a data curve in the refrigeration temperature adjusting process, and carrying out fitting analysis on the curve and a calculated value curve of the surface heat dissipation of the food material; if the curve variation trend of the data in the refrigeration temperature adjusting process and the calculated value curve of the surface heat dissipation of the food material can be fitted, continuing to track and adjust the process data; and if the data curve variation trend in the refrigeration temperature adjusting process and the calculated value curve of the surface heat dissipation of the food material cannot be fitted, adjusting and controlling the set temperature, and continuously optimizing the control process.

The beneficial effects of the above technical scheme are that: the process data for controlling the refrigeration temperature and adjusting the temperature gradient of the refrigerator can be stored; the stored refrigeration temperature regulation process data are read by the computer, and a refrigeration temperature regulation process data curve can be drawn; analyzing the flatness and the variation trend of a data curve in the refrigeration temperature adjusting process, and carrying out fitting analysis on the curve and a calculated value curve of the surface heat dissipation of the food material; if the curve variation trend of the data in the refrigeration temperature adjusting process and the calculated value curve of the surface heat dissipation of the food material can be fitted, continuing to track and adjust the process data; if the data curve variation trend in the refrigeration temperature adjusting process and the calculated value curve of the surface heat dissipation of the food material cannot be fitted, the set temperature can be adjusted and controlled, and the control process is continuously optimized.

In one embodiment, the integrated intelligent infrared thermometry sensor module comprises: the device comprises an infrared temperature measurement sensor setting unit, an infrared temperature measurement sensor adjusting unit, an infrared temperature measurement sensor layered scanning unit, an infrared temperature measurement sensor detecting unit, a temperature data analyzing unit and a temperature spectrum data recording unit;

In one embodiment, the integrated intelligent refrigeration thermometry sensor module comprises: the system comprises a first storage layer refrigeration temperature measurement sensor unit, a second storage layer refrigeration temperature measurement sensor unit, a temperature cache recording unit, a refrigeration temperature layering combination unit, a refrigeration temperature gradient expansion unit, a temperature gradient cache calculation unit and an integrated intelligent storage medium module;

wherein:

wherein L is_iV is the air convection velocity on the surface of the food material in the refrigerator storage chamber during the refrigeration process, epsilon_dIs the mass concentration of water in dry air, epsilon_aIs the mass concentration of water in the humid air, L_adIs the molar mass of dry air, L_vIs the molar mass of water vapour, T_aIs the air temperature in the storage compartment of the refrigerator; according to the convection heat exchange efficiency coefficient of the surface of the refrigerator food material, carrying out statistical distribution to obtain heat exchange efficiency distribution data; reading preset temperature value data stored in food materials; comparing the temperature spectrum data of the surface of the food material with preset temperature value data stored in the food material, performing joint analysis on the temperature spectrum data and the heat exchange efficiency distribution data, and obtaining temperature difference joint heat exchange efficiency data; comparing and judging the temperature difference joint heat exchange efficiency data and the refrigerating temperature gradient data in the refrigerator storage chamber;judging temperature difference joint heat exchange efficiency data and refrigerating temperature gradient data in a refrigerator storage chamber; if the temperature difference joint heat exchange efficiency exceeds the refrigerating temperature gradient in the refrigerator storage chamber, the mass concentration of the moisture in dry air is increased, the air humidity in the refrigerator storage chamber is increased, the mass concentration of the moisture in wet air is reduced, the temperature of the upper layer of the refrigerating temperature gradient is reduced, and the air convection speed is increased; if the temperature difference joint heat exchange efficiency does not exceed the refrigerating temperature gradient in the refrigerator storage chamber, the mass concentration of the moisture in dry air is reduced, the air humidity in the refrigerator storage chamber is reduced, the mass concentration of the moisture in wet air is increased, the temperature of the upper layer of the refrigerating temperature gradient is stopped to be reduced, and the air convection speed is reduced; the refrigerating temperature of the refrigerator is controlled and the temperature gradient is adjusted by increasing or decreasing the air humidity in the refrigerator storage chamber and increasing or decreasing the air convection speed in the refrigerator storage chamber.

The working principle of the technical scheme is as follows: measuring the temperature of the refrigerating part of the first storage layer of the refrigerator to obtain the refrigerating temperature of the first storage layer of the refrigerator; the refrigeration temperature of the second storage layer of the refrigerator is obtained by measuring the temperature of the refrigeration part of the second storage layer of the refrigerator; recording the refrigeration temperature of a first storage layer of the refrigerator and the refrigeration temperature data of a second storage layer of the refrigerator through caching; performing data combination on the refrigeration temperature of the first storage layer of the refrigerator, the refrigeration temperature data of the second storage layer of the refrigerator and the refrigerator hierarchical data to obtain refrigeration temperature hierarchical combination data; according to the refrigeration temperature, gradient expansion is carried out by combining data in a layered mode to obtain the refrigeration temperatures of all layers of the refrigerator; the refrigeration temperatures of all layers of the refrigerator are stored, refrigeration temperature gradient data of all layers of the refrigerator are calculated in an expanded mode, temperature gradient data values are calculated, numerical calculation is adopted for calculating process parameters, conversion of the process data is simplified rapidly, and operation efficiency and result rapid output are improved; and calculating refrigeration temperature data by expansion to obtain temperature gradient data.

Reading temperature spectrum data of the surface of the food material and reading preset temperature value data of the stored food material; calculating the convection heat exchange efficiency of the surface refrigeration of food materials in the refrigerator; comparing the temperature spectrum data of the surface of the food material with preset temperature value data stored in the food material; and calculating the convection heat exchange efficiency coefficient principle, and analyzing and judging the surface temperature of the food material and the preset temperature for storing the food material through data comparison.

Judging temperature spectrum data of the surface of the food material and preset temperature value data of food material storage; if the measured value of the surface temperature of the food material is larger than the preset temperature value of the food material storage, increasing the mass concentration of moisture in dry air, increasing the air humidity in a refrigerator storage chamber, reducing the mass concentration of moisture in wet air, reducing the temperature of the upper layer of the refrigeration temperature gradient, and increasing the air convection speed; if the measured value of the surface temperature of the food material is not greater than the preset temperature value of the food material storage, reducing the mass concentration of the moisture in dry air, reducing the air humidity in the refrigerator storage chamber, increasing the mass concentration of the moisture in wet air, stopping reducing the temperature of the upper layer of the refrigeration temperature gradient, and reducing the air convection speed; the refrigerating temperature of the refrigerator is controlled and the temperature gradient is adjusted by increasing or decreasing the air humidity in the refrigerator storage chamber and increasing or decreasing the air convection speed in the refrigerator storage chamber.

The intelligent storage medium is utilized to rapidly classify and intelligently store the process data for controlling the refrigeration temperature and adjusting the temperature gradient of the refrigerator, when the data needs to be read and written, the classification efficiency and the intelligent degree of storage are different from the common data storage, and compared with the data stored in an analyzing and calling way, the rapidly and intelligently stored data has obvious efficiency improvement and is easier for the integrated expansion of the data; reading the stored refrigeration temperature regulation process data by using a computer, and drawing a refrigeration temperature regulation process data curve; analyzing the flatness and the variation trend of a data curve in the refrigeration temperature adjusting process, and carrying out goodness of fit analysis on a calculated value curve of the surface heat dissipation of the food material; if the change trend of the data curve of the refrigeration temperature adjusting process is matched with the calculated value curve of the surface heat dissipation of the food material, the control setting is reasonable, and the data of the adjusting process is continuously tracked; and if the variation trend of the data curve of the refrigeration temperature adjusting process is not matched with the calculated value curve of the surface heat dissipation of the food material, adjusting and controlling the set temperature, and continuously optimizing the control process.

The beneficial effects of the above technical scheme are that: measuring the temperature of the refrigerating part of the first storage layer of the refrigerator to obtain the refrigerating temperature of the first storage layer of the refrigerator; the refrigeration temperature of the second storage layer of the refrigerator is obtained by measuring the temperature of the refrigeration part of the second storage layer of the refrigerator; recording the refrigeration temperature of a first storage layer of the refrigerator and the refrigeration temperature data of a second storage layer of the refrigerator through caching; performing data combination on the refrigeration temperature of the first storage layer of the refrigerator, the refrigeration temperature data of the second storage layer of the refrigerator and the refrigerator hierarchical data to obtain refrigeration temperature hierarchical combination data; according to the refrigeration temperature, gradient expansion is carried out by combining data in a layered mode to obtain the refrigeration temperatures of all layers of the refrigerator; the refrigeration temperatures of all layers of the refrigerator are stored, refrigeration temperature gradient data of all layers of the refrigerator are calculated in an expanded mode, temperature gradient data values are calculated, and numerical calculation is adopted for calculating process parameters, so that conversion of process data can be simplified quickly, and the operation efficiency and the result can be output quickly; temperature gradient data can be obtained by calculating refrigeration temperature data in an expanding way;

reading temperature spectrum data of the surface of the food material and reading preset temperature value data of the stored food material; calculating the convection heat exchange efficiency of the surface refrigeration of food materials in the refrigerator; comparing the temperature spectrum data of the surface of the food material with preset temperature value data stored in the food material; and analyzing and judging the temperature of the surface of the food material and the preset temperature of the stored food material through data comparison.

By judging the temperature spectrum data on the surface of the food material and the preset temperature value data for storing the food material, detailed data spectral lines and spectra of the temperature spectrum data can be compared with the set temperature value data, detailed data trends and coverage data of the temperature spectrum data can be compared in detail, the temperature data can be divided in a refining mode, and the data comparison has reference significance and is close to actual data value; if the measured value of the surface temperature of the food material is larger than the preset temperature value of the food material storage, increasing the mass concentration of moisture in dry air, increasing the air humidity in a refrigerator storage chamber, reducing the mass concentration of moisture in wet air, reducing the temperature of the upper layer of the refrigeration temperature gradient, and increasing the air convection speed; if the measured value of the surface temperature of the food material is not greater than the preset temperature value of the food material storage, reducing the mass concentration of the moisture in dry air, reducing the air humidity in the refrigerator storage chamber, increasing the mass concentration of the moisture in wet air, stopping reducing the temperature of the upper layer of the refrigeration temperature gradient, and reducing the air convection speed; the refrigerating temperature of the refrigerator can be controlled and the temperature gradient can be adjusted by increasing or decreasing the air humidity in the refrigerator storage chamber and increasing or decreasing the air convection speed in the refrigerator storage chamber.

The intelligent storage medium is utilized to quickly classify and intelligently store the process data for controlling the refrigeration temperature and adjusting the temperature gradient of the refrigerator, and when the data needs to be read and written, the classification efficiency and the intelligent degree of storage are different from the common data storage, and compared with the data which is quickly and intelligently stored when the data is analyzed and called, the intelligent storage medium has obvious efficiency improvement and is easier for the integrated expansion of the data; reading the stored refrigeration temperature regulation process data by using a computer, and drawing a refrigeration temperature regulation process data curve; analyzing the flatness and the variation trend of a data curve in the refrigeration temperature adjusting process, and carrying out goodness of fit analysis on a calculated value curve of the surface heat dissipation of the food material; if the change trend of the data curve of the refrigeration temperature adjusting process is matched with the calculated value curve of the surface heat dissipation of the food material, the control setting is reasonable, and the data of the adjusting process is continuously tracked; and if the variation trend of the data curve of the refrigeration temperature adjusting process is not matched with the calculated value curve of the surface heat dissipation of the food material, adjusting and controlling the set temperature, and continuously optimizing the control process.

An intelligent control storage medium implementing the temperature control method of the refrigerator according to any one of embodiments 1 to 6.

While embodiments of the invention have been disclosed above, it is not limited to the applications set forth in the description and the embodiments, which are fully applicable in various fields of endeavor to which the invention pertains, and further modifications may readily be made by those skilled in the art, it being understood that the invention is not limited to the details shown and described herein without departing from the general concept defined by the appended claims and their equivalents.

Claims

1. A temperature control method of a refrigerator, characterized in that the method comprises:

s200, measuring and storing the refrigerating temperature in the refrigerator storage chamber, and expanding and calculating refrigerating temperature data to obtain refrigerating temperature gradient data;

s500, storing the adjusting data, analyzing a temperature curve by reading the stored adjusting data, and continuously optimizing the control process;

s100 includes:

and S108, obtaining temperature spectrum data of the surface of the food material in the refrigerator storage chamber through descending spectral line data analysis.

2. The temperature control method of a refrigerator according to claim 1, wherein S200 comprises:

s206, storing the refrigeration temperatures of all the layers of the refrigerator, and expanding and calculating the refrigeration temperature gradient data of all the layers of the refrigerator, wherein the calculation formula is as follows:

wherein:

in order to be able to provide temperature gradient data,

is a height value of a storage room of the refrigerator,

is at a temperature of

The amount of change in the direction of the movement,

is composed of

The value of the directional speed component is,

is composed of

The value of the directional speed component is,

is a value of a thermal conductivity,

as a value for the density of the fluid,

the calculation process parameter adopts numerical calculation for the specific heat capacity value; obtaining temperature gradient data by calculating refrigeration temperature data through expansion。

3. The temperature control method of a refrigerator according to claim 1, wherein S300 comprises:

s301, reading temperature spectrum data of the surface of the food material;

wherein,

in order to obtain the efficiency coefficient of the convection heat exchange,

the air convection velocity on the surface of the food material in the refrigerating process in the storage chamber of the refrigerator,

is the mass concentration of the moisture in the dry air,

is the mass concentration of moisture in the humid air,

is the molar mass of the dry air,

is the molar mass of the water vapor,

is the air temperature in the storage compartment of the refrigerator;

s304, reading preset temperature value data stored in food materials;

4. The temperature control method of a refrigerator according to claim 3, wherein the S400 comprises:

5. The temperature control method of a refrigerator according to claim 1, wherein S500 comprises:

s501, storing refrigeration temperature adjustment process data for controlling the refrigeration temperature and adjusting the temperature gradient of the refrigerator;

s503, analyzing the flatness and the variation trend of a data curve in the refrigeration temperature adjusting process, and carrying out fitting analysis on the curve of the calculated value of the surface heat dissipation of the food material; if the curve variation trend of the refrigeration temperature adjusting process data and the calculated value curve of the surface heat dissipation of the food material can be fitted, continuously tracking and adjusting the refrigeration temperature adjusting process data; and if the data curve variation trend in the refrigeration temperature adjusting process and the calculated value curve of the surface heat dissipation of the food material cannot be fitted, adjusting and controlling the set temperature, and continuously optimizing the control process.

6. A temperature control device for a refrigerator, comprising: the intelligent refrigeration temperature measurement system comprises an integrated intelligent infrared temperature measurement sensor module, an integrated intelligent refrigeration temperature measurement sensor module and an integrated intelligent storage medium module;

the integrated intelligent refrigeration temperature measurement sensor module is used for measuring and storing the refrigeration temperature in the refrigerator storage chamber, and expanding the stored refrigeration temperature to obtain refrigeration temperature gradient data;

the integrated intelligent storage medium module is used for carrying out operation analysis on temperature spectrum data on the surface of food materials and comparing and judging the temperature spectrum data with refrigerating temperature gradient data in a refrigerator storage chamber; controlling the refrigeration temperature of the refrigerator and adjusting the temperature gradient according to the comparison judgment result; storing the adjustment data, and continuously optimizing the control process by reading the stored data and analyzing the temperature curve; the infrared temperature measurement sensor module of integrated intelligence includes: the device comprises an infrared temperature measurement sensor setting unit, an infrared temperature measurement sensor adjusting unit, an infrared temperature measurement sensor layered scanning unit, an infrared temperature measurement sensor detecting unit, a temperature data analyzing unit and a temperature spectrum data recording unit;

and the temperature spectrum data recording unit is used for analyzing the descending spectral line data to obtain the temperature spectrum data of the surface of the food material in the refrigerator storage chamber.

7. The temperature control apparatus of a refrigerator as claimed in claim 6, wherein the integrated intelligent cooling temperature measuring sensor module comprises: the system comprises a first storage layer refrigeration temperature measurement sensor unit, a second storage layer refrigeration temperature measurement sensor unit, a temperature cache recording unit, a refrigeration temperature layering combination unit, a refrigeration temperature gradient expansion unit, a temperature gradient cache calculation unit and an integrated intelligent storage medium module;

the temperature cache recording unit is used for recording the refrigerating temperature of the first storage layer of the refrigerator and the refrigerating temperature adjusting process data of the second storage layer of the refrigerator through cache;

the refrigeration temperature layering combination unit is used for carrying out data combination on the refrigeration temperature of the first storage layer of the refrigerator, the refrigeration temperature regulation process data of the second storage layer of the refrigerator and the refrigerator layering data to obtain refrigeration temperature layering combination data;

wherein:

in order to be able to provide temperature gradient data,

is a height value of a storage room of the refrigerator,

is at a temperature of

The amount of change in the direction of the movement,

is composed of

The value of the directional speed component is,

is composed of

The value of the directional speed component is,

is a value of a thermal conductivity,

as a value for the density of the fluid,

the calculation process parameter adopts numerical calculation for the specific heat capacity value; refrigeration temperature gradient data are obtained by calculating refrigeration temperature data in an expanding way;

wherein,

in order to obtain the efficiency coefficient of the convection heat exchange,

is the mass concentration of the moisture in the dry air,

is the mass concentration of moisture in the humid air,

is the molar mass of the dry air,

is the molar mass of the water vapor,

is the air temperature in the storage compartment of the refrigerator; according to the convection heat exchange efficiency coefficient of the surface of the refrigerator food material, carrying out statistical distribution to obtain heat exchange efficiency distribution data; reading preset temperature value data stored in food materials; comparing the temperature spectrum data of the surface of the food material with preset temperature value data stored in the food material, performing joint analysis on the temperature spectrum data and the heat exchange efficiency distribution data, and obtaining temperature difference joint heat exchange efficiency data; comparing and judging the temperature difference joint heat exchange efficiency data and the refrigerating temperature gradient data in the refrigerator storage chamber; judging temperature difference joint heat exchange efficiency data and refrigerating temperature gradient data in a refrigerator storage chamber; if the temperature difference joint heat exchange efficiency exceeds the refrigerating temperature gradient in the refrigerator storage chamber, the mass concentration of the moisture in dry air is increased, the air humidity in the refrigerator storage chamber is increased, the mass concentration of the moisture in wet air is reduced, the temperature of the upper layer of the refrigerating temperature gradient is reduced, and the air convection speed is increased; if the temperature difference joint heat exchange efficiency does not exceed the refrigerating temperature gradient in the refrigerator storage chamber, the mass concentration of the moisture in dry air is reduced, the air humidity in the refrigerator storage chamber is reduced, the mass concentration of the moisture in wet air is increased, the temperature of the upper layer of the refrigerating temperature gradient is stopped to be reduced, and the air convection speed is reduced; by increasing or decreasing the humidity of the air in the storage compartment of the refrigerator, the convection of the air in the storage compartment of the refrigerator is increased or decreasedSpeed, controlling the refrigeration temperature of the refrigerator and adjusting the temperature gradient;

the intelligent storage medium module is used for storing adjustment data, storing data for optimizing and controlling the refrigeration temperature adjustment process, and combining an analysis curve of the refrigerator data intelligent processing module to continuously optimize the control process; storing refrigeration temperature adjustment process data for controlling the refrigeration temperature and adjusting the temperature gradient of the refrigerator; reading the stored refrigeration temperature regulation process data through a computer, and drawing a refrigeration temperature regulation process data curve; analyzing the flatness and the variation trend of a data curve in the refrigeration temperature adjusting process, and carrying out goodness of fit analysis on a calculated value curve of the surface heat dissipation of the food material; if the change trend of the refrigeration temperature adjusting process data curve is matched with the calculated value curve of the surface heat dissipation of the food material, the control setting is reasonable, and the refrigeration temperature adjusting process data is continuously tracked and adjusted; and if the variation trend of the data curve of the refrigeration temperature adjusting process is not matched with the calculated value curve of the surface heat dissipation of the food material, adjusting and controlling the set temperature, and continuously optimizing the control process.

8. An intelligent control storage medium, characterized in that the intelligent control storage medium implements the temperature control method of the refrigerator of any one of claims 1 to 5.