Meat and fruit spoilage detection structure for a refrigerator and visual warning system

Abstract

The application relates to the technical field of intelligent household appliances, and discloses a meat and fruit spoilage degree detection structure and a visual alarm system for a refrigerator. A cabinet structure is defined with at least two independent storage spaces, i.e. a refrigeration chamber and a fruit and vegetable chamber. A partition plate is horizontally arranged between the refrigeration chamber and the fruit and vegetable chamber, and is configured to physically divide the refrigeration chamber and the fruit and vegetable chamber into independent air flow microenvironments, so as to block the diffusion of ethylene gas generated in the fruit and vegetable chamber to the refrigeration chamber. A sensor array includes a first sensor module and a second sensor module, which are arranged on air circulation paths in the refrigeration chamber and the fruit and vegetable chamber respectively, and are used for collecting gas data flowing through the air circulation paths. By introducing a logarithmic change rate as a core criterion, the interference of the volume of the refrigerator compartment and the food loading on the detection result is eliminated from the mathematical principle, and the precise detection of "volume independence" is realized. Meanwhile, an intuitive predictive alarm is provided through a bionic instrument panel design.

Description

Technical Field

[0001] This invention relates to the field of smart home appliance technology, specifically to a meat and fruit spoilage detection structure and a visual alarm system for refrigerators. Background Technology

[0002] Existing smart refrigerators have the following main shortcomings in food spoilage monitoring: This relies heavily on absolute thresholds for gas concentration (e.g., setting a concentration >15 ppm for spoilage). However, the net free volume of refrigerator compartments varies dynamically depending on the model or the amount of food stored. Under the same amount of spoilage gas production, the concentration in a large-capacity compartment may be below the threshold, leading to a false alarm, while the concentration in a fully loaded small compartment may be artificially high, leading to a false alarm.

[0003] Traditional systems typically trigger an alarm only when the concentration reaches a threshold, by which time the food has often already undergone obvious sensory spoilage and is no longer edible.

[0004] It is not possible to effectively distinguish between amine gases produced by protein spoilage (meat) and ethylene / alcohol gases produced by sugar fermentation (fruits and vegetables).

[0005] Users cannot intuitively quantify and perceive the "remaining lifespan" of food simply by using traffic lights or complex PPM values. Summary of the Invention

[0006] To address the shortcomings of existing technologies, this invention provides a structure and visual alarm system for detecting the spoilage of meat and fruit in refrigerators, thus solving the problems mentioned in the background section.

[0007] This invention provides the following technical solution: a structure for detecting the spoilage of meat and fruit in a refrigerator: Includes: a cabinet structure with at least two independent storage spaces: a refrigerator compartment and a fruit and vegetable compartment; A partition is horizontally positioned between the refrigerator compartment and the fruit and vegetable compartment to physically separate the refrigerator compartment and the fruit and vegetable compartment into independent airflow microenvironments, thereby preventing the diffusion of ethylene gas generated in the fruit and vegetable compartment into the refrigerator compartment. The sensor array includes a first sensor module and a second sensor module, which are respectively disposed on the air circulation paths of the refrigerator compartment and the fruit and vegetable compartment, for collecting gas data flowing through the air circulation paths; an electronic control board is electrically connected to the sensor array for collecting sensor data; and a car dashboard-style display interface is embedded and installed on the outer surface of the door of the enclosure.

[0008] Preferably, the sensor array integrates: A gas detector, comprising a first sensitive probe for detecting amine gases and a second sensitive probe for detecting ethylene gases; A spectral sensor, with its photosensitive window facing the storage area of ​​the refrigerator or fruit and vegetable compartment, is used to detect reflectance in the 450nm-900nm wavelength band; and a temperature and humidity sensor is used to collect environmental thermodynamic parameters. Preferably, the gas detector is a MEMS metal-oxide-semiconductor sensor chip; the spectral sensor is a multi-channel narrowband spectral acquisition chip, and a filter is provided at the photosensitive window.

[0009] Preferably, the edge of the partition is provided with a flexible sealing component, which is in close contact with the inner wall of the box to form an airtight contact.

[0010] A visual alarm system for detecting meat and fruit spoilage in refrigerators includes a multi-dimensional sensing unit configured to collect ambient gas data in the refrigerator compartment and fruit and vegetable compartment; a microprocessor connected to the multi-dimensional sensing unit configured to receive the ambient gas data and perform spoilage kinetic analysis to generate alarm commands; and a visual terminal configured to render a car dashboard-style display interface based on the alarm commands. The putrefaction kinetics analysis performed by the microprocessor includes: Calculate the logarithmic rate of change of the ambient gas concentration. and the logarithmic rate of change Mapped to the deflection angle of the dashboard pointer on the visualization terminal; where the logarithmic rate of change By analyzing gas concentration values ​​over time series Perform logarithmic differentiation This is to eliminate the interference of the net free volume of the refrigerator compartment or fruit and vegetable compartment on the detection results. Preferably, the microprocessor is also configured to execute classification monitoring logic: When the detection signal originates from the cold storage compartment and the intensity of the amine gas signal is higher than that of the ethylene gas signal, the meat spoilage monitoring model is activated. When the detection signal originates from the fruit and vegetable chamber and the intensity of the ethylene gas signal is higher than that of the amine gas signal, the fruit and vegetable fermentation monitoring model is activated.

[0011] Preferably, the microprocessor is further configured to perform remaining lifetime prediction: In addition to obtaining the current ambient temperature, the microprocessor is further configured to execute classification monitoring logic: When the detection signal originates from the cold storage compartment and the intensity of the amine gas signal is higher than that of the ethylene gas signal, the meat spoilage monitoring model is activated. When the detection signal originates from the fruit and vegetable chamber and the intensity of the ethylene gas signal is higher than that of the amine gas signal, the fruit and vegetable fermentation monitoring model is activated.

[0012] Preferably, the microprocessor is further configured to perform remaining lifetime prediction: Get the current ambient temperature Based on logarithmic rate of change and ambient temperature The Arrhenius equation was used to estimate the time required for the gas concentration to reach a preset deterioration threshold. ; Generate a record containing the time The rendering instructions drive the visualization terminal to display the remaining freshness time scale. Preferably, the car dashboard-style display interface displayed by the visualization terminal includes: a suggested consumption dial, a fruit and vegetable freshness dial, a refrigerated freshness dial, and an overall freshness dial, to comprehensively display the ecological status inside the refrigerator; The fruit and vegetable freshness indicator is linked to sensor data in the fruit and vegetable compartment, directly displaying the respiration / fermentation rate of the fruits and vegetables. The overall freshness indicator displays a comprehensive health index of the entire refrigerator, and the microprocessor controls this index. and A weighted calculation is performed to obtain a comprehensive corruption index; The primary function of the recommended consumption dial is to display the urgency level calculated based on the remaining shelf life (RUL); the refrigerated freshness dial is linked to sensor data within the refrigerator compartment. Preferably, the multi-dimensional sensing unit further includes a spectral sensor for detecting the reflectivity of the food surface; The microprocessor is further configured to: when the logarithmic rate of change When the reflectance of a specific band is detected by the spectral sensor but is below a preset threshold, an auxiliary deterioration warning signal is output.

[0013] The present invention has the following beneficial effects: 1. The meat and fruit spoilage detection structure and visual alarm system for refrigerators, by introducing the logarithmic rate of change as the core criterion, eliminates the interference of refrigerator compartment size and food loading on the detection results from a mathematical perspective, achieving accurate detection with "volume independence"; at the same time, it provides intuitive predictive alarms through a biomimetic dashboard design. Attached Figure Description

[0014] Figure 1 This is a schematic diagram of the overall structure of the system of the present invention; Figure 2 This is a block diagram showing the connection between the sensor array and the microprocessor. Figure 3 This is a flowchart of the corruption dynamics analysis algorithm of the present invention; Figure 4 This is a three-dimensional structural diagram of the present invention; Figure 5This is a schematic diagram of the internal structure of the present invention; Figure 6 This is a schematic diagram of the electronic control board structure of the present invention.

[0015] In the diagram: 1. Sensor array; 2. Spectral sensor; 3. Temperature and humidity sensor; 4. Gas detector; 5. Microprocessor; 6. Communication module; 7. Electronic control board; 8. Car dashboard-style display interface; 9. Cold storage compartment; 10. Fruit and vegetable compartment; 11. Partition. 81. Refrigerated Freshness Dial; 82. Suggested Consumption Dial; 83. Overall Freshness Dial; 84. Fruit and Vegetable Freshness Dial; 100. Refrigerator body. Detailed Implementation

[0016] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0017] Example 1: Please refer to Figures 1-6 , A structure for detecting meat and fruit spoilage in refrigerators includes: a cabinet structure that defines at least two independent storage spaces: a refrigerator compartment 9 and a fruit and vegetable compartment 10; The partition 11 is horizontally positioned between the refrigerator compartment 9 and the fruit and vegetable compartment 10, thereby physically separating the refrigerator compartment 9 and the fruit and vegetable compartment 10 into independent airflow microenvironments to block the diffusion of ethylene gas generated in the fruit and vegetable compartment 10 into the refrigerator compartment 9. To ensure the independence of monitoring, the edge of the partition 11 is equipped with a flexible sealing strip that fits tightly against the inner liner of the refrigerator, forming an airtight partition. This physically blocks the diffusion of ethylene C2H4 generated in the fruit and vegetable compartment into the refrigerator compartment, preventing it from interfering with the baseline of the meat sensor; at the same time, it prevents amine gases generated by meat from contaminating the fruits and vegetables.

[0018] In a preferred embodiment: the sensor array 1 includes a first sensor module and a second sensor module, which are respectively disposed on the air circulation path in the refrigerator compartment 9 and the fruit and vegetable compartment 10, for collecting gas data flowing through the air circulation path; The sensor array 1 is preferably installed at the return air vent at the back of the refrigerator compartment 9 and the fruit and vegetable compartment 10, on the air circulation path of the refrigerator compartment 9 or the fruit and vegetable compartment 10. The optimal location is at the return air vent at the back.

[0019] If the refrigerator adopts a direct cooling design without obvious air ducts, the sensor array 1 can be installed on the upper part of the back panel of the refrigerator body 100, or a miniature silent fan can be integrated inside the sensor array 1 as an active air intake device to create local air circulation.

[0020] In a preferred embodiment: an electronic control board 7 is electrically connected to the sensor array 1 for acquiring sensor data; and an automotive dashboard-style display interface 8 is embedded in the outer surface of the door of the enclosure.

[0021] The interior of the refrigerator body 100 is forcibly divided into two isolated independent spaces by using the partition 11; Gases produced by different foods inside the refrigerator can easily interfere with each other, causing the sensors to misjudge.

[0022] For example, the ethylene released by ripening fruit may be mistaken for a sign of meat spoilage. The partition 11 physically isolates the fruit and vegetable compartment 10, limiting the gases produced by the fruit and vegetable compartment 10 and confining the gases produced by the meat to the cold storage compartment 9.

[0023] In a preferred embodiment: the sensor array 1 adopts a modular PCB design with a hydrophobic and moisture-proof coating on the surface, and integrates a gas detector 4 using a MEMS metal oxide semiconductor MOX sensor array: the gas detector 4 contains multiple independent micro hot plate pixels, which generate differentiated responses to amines / sulfides NH3, H2S and VOCs / ethylene C2H4, EtOH through temperature control cycles.

[0024] Gas detector 4 includes a first sensitive probe for detecting amine gases and a second sensitive probe for detecting ethylene gases; spectral sensor 2, whose photosensitive window faces the storage area of ​​the refrigerator compartment 9 or the fruit and vegetable compartment 10, for detecting reflectance in the 450nm-900nm wavelength band; and temperature and humidity sensor 3, for collecting environmental thermodynamic parameters. The spectral sensor 2, employing a miniature multichannel spectrometer chip, has a field of view (FOV) of approximately 45 degrees, oriented towards the center of the shelf. It is equipped with filters in the 450nm / 570nm / 680nm wavelength bands to monitor browning caused by myoglobin oxidation in meat and chlorophyll degradation in fruits and vegetables. Gas detector 4 is a MEMS metal-oxide-semiconductor sensor chip; spectral sensor 2 is a multi-channel narrowband spectral acquisition chip with a filter at the photosensitive window. Sensor array 1 also includes a temperature and humidity sensor 3 for providing environmental compensation parameters.

[0025] Gas detector 4 employs MEMS micro-hotplate technology, using different heating temperatures to make the first sensitive probe specifically sensitive to amine gases produced by meat spoilage, and the second sensitive probe specifically sensitive to ethylene gases produced by fruit and vegetable fermentation. In addition to the gas-sensitive detection unit, a spectral sensor 2 is introduced to detect the wavelength of light reflected from the food surface. Utilizing the unique spectral characteristics of browning in spoiled meat and yellowing in spoiled fruits and vegetables, and combined with environmental data provided by temperature and humidity sensor 3, the system senses the state of the food.

[0026] In a preferred embodiment, the electronic control board 7 is located in the top compartment of the refrigerator and houses a low-power microprocessor 5. The microprocessor connects to various sensors via I2C or UART bus. A communication module 6, such as a Wi-Fi / BLE module, is used to send processed data to the door panel display and the user's mobile app.

[0027] A visual alarm system for detecting meat and fruit spoilage in refrigerators includes a multi-dimensional sensing unit configured to collect ambient gas data in the refrigerator compartment 9 and the fruit and vegetable compartment 10; and a microprocessor 5 connected to the multi-dimensional sensing unit, configured to receive the ambient gas data and perform spoilage kinetic analysis to generate alarm commands. And a visualization terminal, configured to render a car dashboard-style display interface based on alarm commands 8; The corruption kinetics analysis performed by microprocessor 5 includes: Calculate the logarithmic rate of change of ambient gas concentration and the logarithmic rate of change Mapped to the deflection angle of the dashboard pointer on the visualization terminal; where the logarithmic rate of change By analyzing gas concentration values ​​over time series Perform logarithmic differentiation To obtain the net free volume of the refrigerator compartment 9 or the fruit and vegetable compartment 10 to eliminate the interference of the test results.

[0028] In a preferred embodiment: the microprocessor 5 is also configured to execute classification monitoring logic: When the detection signal originates from the cold storage compartment 9 and the intensity of the amine gas signal is higher than that of the ethylene gas signal, the meat spoilage monitoring model is activated; when the detection signal originates from the fruit and vegetable compartment 10 and the intensity of the ethylene gas signal is higher than that of the amine gas signal, the fruit and vegetable fermentation monitoring model is activated.

[0029] In a preferred embodiment: the multidimensional sensing unit further includes a spectral sensor 2 for detecting the reflectance of the food surface; Microprocessor 5 is further configured to: when the logarithmic rate of change When the reflectance is below a preset threshold but the spectral sensor 2 detects a sudden change in reflectance in a specific wavelength band, an auxiliary spoilage warning signal is output. The control method for a meat and fruit spoilage detection system used in a refrigerator includes the following steps: Step S1: Collect time-series data of gas concentration from the refrigerator compartment 9 and the fruit and vegetable compartment 10 respectively; Step S2: By comparing the response ratios of different gas-sensitive components, identify whether the current monitoring object is meat or fruits and vegetables; Step S3: Process the collected gas concentration data Perform logarithmic differentiation The logarithmic rate of change is obtained, thereby eliminating the interference of the net free volume of the compartment and the food loading on the test results; Step S4: Map the calculated logarithmic rate of change to the deflection angle of the instrument panel pointer in real time; Step S5: Based on the current logarithmic rate of change and ambient temperature, extrapolate the remaining shelf life of the food and update the remaining time scale on the display interface. Microprocessor 5 serves as the core computing unit, calculating the logarithmic rate of change of concentration. Mathematical derivation proves that the constant representing the refrigerator's volume is... It will be eliminated during differentiation. The remaining... This simply represents the rate of bacterial reproduction. Regardless of the size of the refrigerator, once bacteria begin to grow exponentially, It will rise significantly.

[0030] Before performing calculations, the system performs pattern recognition. Based on whether the signal originates from the refrigerator compartment 9 or the fruit and vegetable compartment 10, and whether the gas composition is predominantly amines or ethylene, the microprocessor 5 automatically performs logical judgments to identify whether the current process is meat spoilage or fruit and vegetable ripening. If it is determined to be meat, the meat spoilage model is invoked; if it is determined to be fruit and vegetables, the fermentation model is invoked. This targeted strategy avoids using a single standard to measure all foods.

[0031] Microprocessor 5 uses the Arrhenius equation in chemical kinetics to calculate the current reaction rate. and the current temperature By combining these factors, we can extrapolate the reaction process. Calculating the current rate and ambient temperature, we can estimate how long it will take to reach the degradation threshold. Spectral sensor 2 is used for supplementary monitoring. By monitoring the reflectance spectral characteristics of the food surface in real time, once a sudden change in reflectance in a specific wavelength band is detected, such as a decrease in reflectance in the 450nm wavelength band due to browning of red meat, even if the gas change rate is at the same time... Within the normal range, the system will also prioritize optical data and forcibly trigger auxiliary warnings, thereby filling the blind spots of single gas monitoring. This solves the problem of odorless putrefaction caused by oxidation and discoloration at low temperatures, which does not immediately release large amounts of gas, leading to delayed or no response from gas sensors. Example 2: Putrefaction kinetics analysis and the "volume-independent" algorithm. This example details the core algorithm running on microprocessor 5, which aims to solve the problem of "interference of different refrigerator volumes on detection results."

[0032] Step S1: The system collects sensor data at a frequency of 1Hz. The microprocessor 5 maintains a sliding time window, such as the data of the past hour. When the refrigerator door is detected to be open by a door magnetic trigger or other methods, or when the temperature rises sharply, the data entry is paused until the environment stabilizes to prevent outside air from interfering with the baseline.

[0033] Step S2: Classify using the spatial differences and gas fingerprints created by the partition 11; Judgment logic: If the signal originates from the refrigerator compartment ID and the response of the first sensitive element (amines) is greater than threshold A, it is determined as: meat spoilage mode; if the signal originates from the fruit and vegetable compartment ID and the response of the second sensitive element (ethylene) is greater than threshold B, it is determined as: Fruit and vegetable breathing mode; Step S3: The system calculates the logarithmic rate of change. .

[0034] Principle: Let's assume a certain moment... The amount of putrefactive gas in the room is The net free volume of the room is The detected concentration .

[0035] Take the natural logarithm of both sides of the equation: .

[0036] Regarding time Differentiate:

[0037] Because during the testing period, the refrigerator volume It is a constant, therefore ,therefore, .

[0038] The calculation result It directly characterizes the intrinsic rate of gas production in food (bacterial reproduction rate), and is completely independent of the size of the refrigerator or the amount of food stored. This allows the same set of algorithm parameters to be adapted to all refrigerator models.

[0039] Step S4: Calculate and predict remaining useful life (RUL) based on the Arrhenius kinetic model: in, The preset sensory deterioration endpoint concentration, For activation energy, This is the current measured temperature.

[0040] Example 3: Predictive visualization and interactive scenarios. The car dashboard-style display interface 8 realizes intuitive dimensionality reduction of biochemical data, including suggested consumption dial 82, fruit and vegetable freshness dial 84, refrigerated freshness dial 81 and overall freshness dial 83, to comprehensively display the ecological status inside the refrigerator.

[0041] The fruit and vegetable freshness display panel 84 is linked to sensor data within the fruit and vegetable compartment 10, directly displaying the respiration / fermentation rate of the fruits and vegetables. The overall freshness index is 83, representing the overall health index of the entire refrigerator. Microprocessors: 5 pairs. and A weighted calculation is performed to obtain a comprehensive corruption index.

[0042] A pointer that remains stable in the left area indicates that the overall environment of the machine is excellent and there is no source of odor.

[0043] When the pointer enters the middle field, it indicates that localized spoilage has occurred inside the refrigerator, prompting the user to conduct an inspection.

[0044] When the pointer enters the right-hand area, it indicates a serious source of corruption.

[0045] The main function of the recommended consumption dial 82 is to display the urgency level calculated based on the remaining life expectancy (RUL). The closer the pointer is to the right side, the higher the urgency of needing to consume the food, and it is accompanied by a digital countdown display.

[0046] The freshness indicator on panel 81 is linked to sensor data within the refrigerator compartment 9; the angle of pointer deflection corresponds to the rate of meat spoilage. The left side indicates fresh meat, and the right side indicates meat beginning to spoil. It should be noted that in this document, relational terms such as "first" and "second" are used only to distinguish one entity or operation from another, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Furthermore, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a process, method, article, or apparatus. It should be noted that in this document, relational terms such as "first" and "second" are used only to distinguish one entity or operation from another, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Furthermore, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a process, method, article, or apparatus.

[0047] Although embodiments of the invention have been shown and described, it will be understood by those skilled in the art that various changes, modifications, substitutions and alterations can be made to these embodiments without departing from the principles and spirit of the invention, the scope of which is defined by the appended claims and their equivalents.

Claims

1. A structure for detecting the spoilage of meat and fruit in refrigerators. Its features are: Includes: a box structure that defines at least two independent storage spaces: a refrigerator compartment (9) and a fruit and vegetable compartment (10); A partition (11) is horizontally positioned between the cold storage compartment (9) and the fruit and vegetable compartment (10) to physically separate the cold storage compartment (9) and the fruit and vegetable compartment (10) into independent airflow microenvironments, thereby blocking the diffusion of ethylene gas generated in the fruit and vegetable compartment (10) into the cold storage compartment (9). The sensor array (1) includes a first sensor module and a second sensor module, which are respectively set on the air circulation path in the cold storage compartment (9) and the fruit and vegetable compartment (10) to collect gas data flowing through the air circulation path; The electronic control board (7) is electrically connected to the sensor array (1) for collecting sensor data; and the car dashboard-style display interface (8) is embedded on the outer surface of the door of the box.

2. The structure for detecting meat and fruit spoilage in a refrigerator according to claim 1, characterized in that: The sensor array (1) integrates: Gas detector (4) includes a first sensitive probe for detecting amine gases and a second sensitive probe for detecting ethylene gases; A spectral sensor (2), whose photosensitive window faces the storage area of ​​the cold storage compartment (9) or the fruit and vegetable compartment (10), is used to detect the reflectance in the 450nm-900nm band; and a temperature and humidity sensor (3), is used to collect environmental thermodynamic parameters.

3. The structure for detecting meat and fruit spoilage in a refrigerator according to claim 2, characterized in that: The gas detector (4) is a MEMS metal oxide semiconductor sensor chip; the spectral sensor (2) is a multi-channel narrowband spectral acquisition chip, and a filter is provided at the photosensitive window.

4. The structure for detecting meat and fruit spoilage in a refrigerator according to claim 1, characterized in that: The edge of the partition (11) is provided with a flexible sealing component, which is in close contact with the inner wall of the box to form an airtight contact.

5. A visual alarm system for detecting the spoilage of meat and fruit in refrigerators, characterized in that: A multidimensional sensing unit is configured to collect environmental gas data in the cold storage compartment (9) and the fruit and vegetable compartment (10); a microprocessor (5) is connected to the multidimensional sensing unit and is configured to receive the environmental gas data and perform putrefaction kinetic analysis to generate an alarm command. And a visualization terminal, configured to render a car dashboard-style display interface according to the alarm command (8); The putrefaction kinetics analysis performed by the microprocessor (5) includes: Calculate the logarithmic rate of change of the ambient gas concentration. and the logarithmic rate of change This is mapped to the deflection angle of the pointer on the dashboard of the visualization terminal; Among them, the logarithmic rate of change By analyzing gas concentration values ​​over time series Perform logarithmic differentiation To obtain, so as to eliminate the interference of the net free volume of the cold storage compartment (9) or fruit and vegetable compartment (10) on the test results.

6. The visual alarm system for detecting meat and fruit spoilage in a refrigerator according to claim 5, characterized in that: The microprocessor (5) is also configured to execute classification monitoring logic: When the detection signal originates from the cold storage room (9) and the intensity of the amine gas signal is higher than that of the ethylene gas signal, the meat spoilage monitoring model is activated. When the detection signal originates from the fruit and vegetable chamber (10) and the intensity of the ethylene gas signal is higher than that of the amine gas signal, the fruit and vegetable fermentation monitoring model is activated.

7. The visual alarm system for detecting meat and fruit spoilage in refrigerators according to claim 6, characterized in that: The microprocessor (5) is also configured to perform remaining lifetime prediction: Get the current ambient temperature Based on logarithmic rate of change and ambient temperature The Arrhenius equation was used to estimate the time required for the gas concentration to reach a preset deterioration threshold. ; Generate data containing the time. The rendering instructions drive the visualization terminal to display the remaining shelf life scale.

8. The visual alarm system for detecting meat and fruit spoilage in a refrigerator according to claim 7, characterized in that: The visual terminal displays a car dashboard-style interface (8), including a suggested consumption dial (82), a fruit and vegetable freshness dial (84), a refrigerated freshness dial (81), and an overall freshness dial (83), to comprehensively display the ecological status inside the refrigerator; the fruit and vegetable freshness dial (84) is linked to sensor data in the fruit and vegetable compartment (10) to directly display the respiration / fermentation rate of fruits and vegetables. The overall freshness panel (83) reflects the overall health index of the refrigerator, while the microprocessor (5) controls the overall freshness. and A weighted calculation is performed to obtain a comprehensive corruption index; The main function of the recommended consumption dial (82) is to display the urgency level calculated based on the remaining life (RUL); the refrigerated freshness dial (81) is associated with sensor data in the refrigerator compartment (9).

9. The visual alarm system for detecting meat and fruit spoilage in a refrigerator according to claim 5, characterized in that: The multidimensional sensing unit also includes a spectral sensor (2) for detecting the reflectance of food surfaces; The microprocessor (5) is further configured to: when the logarithmic rate of change When the reflectance of the spectral sensor (2) is below the preset threshold but a sudden change in the reflectance of a specific band is detected, an auxiliary deterioration warning signal is output.

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