Refrigerator item testing methods, electronic devices and vehicles

Abstract

This invention discloses a refrigerator item detection method, electronic device, and vehicle. The refrigerator item detection method includes determining the spoilage state of items based on multi-source gas composition information inside the refrigerator. The multi-source gas composition information is collected by a sensor array. This method can determine the spoilage state of items inside the refrigerator, making it easier for users to handle spoiled items in the refrigerator in a timely manner, maintain refrigerator hygiene, and improve the user experience.

Description

Technical Field

[0001] This invention relates to the field of vehicle technology, and in particular to a method for detecting items in a refrigerator, an electronic device, and a vehicle. Background Technology

[0002] With the increasing popularity of car refrigerators in automobiles, car owners often store food in them. However, food spoilage or rot may cause unpleasant odors inside the refrigerator, affecting the user experience.

[0003] In existing technologies, capacitive refrigerator item detection can only detect whether there are items inside the car refrigerator, but it has poor recognition of the status of the items. This means that users cannot clean the refrigerator in time when items spoil, which seriously affects the user experience. Summary of the Invention

[0004] This invention aims to at least solve one of the technical problems existing in the prior art. Therefore, one objective of this invention is to provide a method for detecting the spoilage status of items inside a refrigerator. This method can determine the spoilage status of items inside the refrigerator, facilitating timely handling of spoiled items by the user to maintain refrigerator hygiene and improve the user experience.

[0005] The second objective of this invention is to provide an electronic device.

[0006] The third objective of this invention is to provide a vehicle.

[0007] To address the aforementioned problems, a first aspect of the present invention proposes a method for detecting items in a refrigerator, comprising determining the spoilage state of the items based on multi-source gas composition information within the refrigerator, wherein the multi-source gas composition information is acquired by a sensor array.

[0008] According to the refrigerator item detection method of the present invention, the multi-source gas composition information inside the refrigerator is collected by a sensor array, and the items are identified based on their odor characteristics to determine the spoilage status of the items inside the refrigerator. Compared with the prior art, which can only determine whether there are items stored in the refrigerator, this application can determine the spoilage status of the items inside the refrigerator, which makes it easier for users to deal with spoiled items in the refrigerator in a timely manner, maintain the hygiene of the refrigerator, and improve the user experience.

[0009] In some embodiments, the sensor array includes one or more of a metal oxide semiconductor gas sensor, a non-dispersive infrared CO2 sensor, a spectrometer, a temperature sensor, a humidity sensor, and a piezoelectric thin film vibration sensor; the multi-source gas composition information includes one or more of the following: putrefactive gas information collected by the metal oxide semiconductor gas sensor, CO2 concentration collected by the non-dispersive infrared CO2 sensor, putrefactive characteristic spectrum collected by the spectrometer, temperature information collected by the temperature sensor, humidity information collected by the humidity sensor, and microbial activity information collected by the piezoelectric thin film vibration sensor.

[0010] In some embodiments, the spoilage state of the article is determined based on primary and secondary detection results; the primary detection results are determined based on the putrefactive gas information and / or the CO2 concentration; and the secondary detection results are determined based on the putrefactive characteristic spectrum.

[0011] In some embodiments, the method further includes: determining the deterioration type based on user-entered item information, the multi-source gas composition information, and cloud-stored item deterioration characteristic data, wherein the item deterioration characteristic data includes abnormal gas type data and / or the predicted deterioration duration of the item.

[0012] In some embodiments, the multi-source gas composition information is acquired by a sensor array when the vehicle is in a steady-state driving condition; the acquisition frequency of the sensor array is determined based on the multi-source gas composition information.

[0013] In some embodiments, the method further includes: when the refrigerator is in a delayed power-off working mode, controlling the metal oxide semiconductor gas sensor and the non-dispersive infrared CO2 sensor to continue working, and controlling the spectrometer, the temperature sensor, the humidity sensor and the piezoelectric thin film vibration sensor to stop working.

[0014] In some embodiments, the method further includes: when the spoilage state of the item is that there is spoiled item in the refrigerator, performing a graded spoilage warning based on a spoilage alarm strategy, wherein the spoilage warning method includes at least local alarm and remote alarm.

[0015] A second aspect of the present invention provides an electronic device, comprising: at least one processor; and a memory communicatively connected to at least one of the processors; wherein the memory stores a computer program executable by at least one of the processors, and the at least one processor executes the computer program to implement the refrigerator item detection method of the above embodiment.

[0016] According to an embodiment of the present invention, an electronic device executes a computer program stored in a memory via a processor to implement a refrigerator item detection method. This method can determine the spoilage status of items inside the refrigerator, facilitating timely handling of spoiled items to maintain refrigerator hygiene and improve the user experience. A third aspect of the present invention provides a vehicle, comprising: an on-board refrigerator and a sensor array, the sensor array being used to collect multi-source gas composition information inside the refrigerator; and a controller, the steering controller being used to execute the refrigerator item detection method of the above embodiment.

[0017] According to an embodiment of the present invention, the vehicle uses a sensor array to collect multi-source gas composition information inside the vehicle refrigerator in real time and sends it to the controller. The controller can then identify different items based on their odor characteristics, determine the spoilage status of the items inside the refrigerator, and facilitate timely handling of spoiled items to maintain refrigerator hygiene, thereby improving the user experience. In some embodiments, the sensor array includes one or more of the following: a metal oxide semiconductor gas sensor, a non-dispersive infrared CO2 sensor, a spectrometer, a temperature sensor, a humidity sensor, and a piezoelectric thin film vibration sensor.

[0018] Additional aspects and advantages of the invention will be set forth in part in the description which follows, and in part will be obvious from the description, or may be learned by practice of the invention. Attached Figure Description

[0019] The above and / or additional aspects and advantages of the present invention will become apparent and readily understood from the description of the embodiments taken in conjunction with the following drawings, in which: Figure 1 This is a flowchart of a refrigerator item detection method according to an embodiment of the present invention; Figure 2 This is a flowchart of a refrigerator item detection method according to another embodiment of the present invention; Figure 3 This is a structural block diagram of an electronic device according to another embodiment of the present invention; Figure 4 This is a structural block diagram of a vehicle according to another embodiment of the present invention; Figure 5 This is a structural schematic diagram of a vehicle according to another embodiment of the present invention.

[0020] Figure label: 200 vehicles; 100 electronic devices; Processor 10; Memory 20; Car refrigerator 30; Sensor array 40; Controller 50; Cloud 60; Alarm module 70; APP display module 80. Detailed Implementation

[0021] The embodiments of the present invention are described in detail below. The embodiments described with reference to the accompanying drawings are exemplary. The embodiments of the present invention are described in detail below.

[0022] With the increasing popularity of car refrigerators in automobiles, car owners often store food in them. However, food spoilage or rot may cause unpleasant odors inside the refrigerator, affecting the user experience.

[0023] In existing technologies, capacitive refrigerator item detection compares capacitance data between empty and loaded states, and combines artificial intelligence for real-time data detection and analysis. However, this solution can only identify whether there are objects in the refrigerator but cannot identify when items have spoiled. On the other hand, the presence of condensation in the refrigerator can also cause significant changes in capacitance, leading to misjudgments. As a result, users cannot clean the refrigerator in time when items have spoiled, which seriously affects the user experience.

[0024] To address the aforementioned problems, the first aspect of this invention proposes a method for detecting items inside a refrigerator. This method can determine the spoilage status of items inside the refrigerator, facilitating timely handling of spoiled items to maintain refrigerator hygiene and improve the user experience.

[0025] The first aspect of this invention provides a method for detecting items in a refrigerator, as described in the following embodiment. Figure 1 As shown, the refrigerator item detection method includes step S1, and the specific steps are as follows.

[0026] Step S1: Determine the spoilage status of the items based on the multi-source gas composition information inside the refrigerator, wherein the multi-source gas composition information is collected by a sensor array.

[0027] Specifically, due to the widespread use of refrigerators in vehicles, users often store food in them. However, due to the differences between car refrigerators and traditional refrigerators, car refrigerators lose power after the vehicle is turned off, resulting in significant temperature fluctuations. Items stored in them are often perishable, such as ready-to-eat foods or beverages. Prolonged exposure to direct sunlight further accelerates spoilage, and the resulting odors can severely impact the user experience. Current capacitive refrigerator item detection technology can only detect the presence of items inside. Camera-based methods for identifying spoiled items are susceptible to limitations such as insufficient light or reflection, shooting and placement angles, and obstructions, leading to decreased recognition accuracy. Furthermore, the success rate for identifying items with minimal deformation during spoilage is low, resulting in limitations for users. Users often cannot determine whether items inside their refrigerators have spoiled, hindering timely cleaning. This application addresses this issue by using a sensor array to collect multi-source gas composition information within the refrigerator, monitoring gas changes in real time. It determines the spoilage state of items based on the gases and volatiles produced after spoilage. This approach avoids the influence of water droplets on the dielectric constant, preventing misjudgments in capacitive refrigerators. Furthermore, the multi-source gas composition-based method offers higher accuracy compared to existing quality and appearance spoilage detection technologies, preventing missed detections and false alarms. It accurately determines whether items have spoiled and the degree of spoilage, allowing users to clean the refrigerator interior promptly and improve hygiene, thus enhancing the user experience. Since the types of items stored in refrigerators vary, and their spoilage affects the internal gases differently, this application uses multi-source gas composition information to determine the spoilage state, judging the gas characteristics of different spoiled items to improve the accuracy of spoilage determination.

[0028] According to the refrigerator item detection method of the present invention, the multi-source gas composition information inside the refrigerator is collected by a sensor array, and the items are identified based on their odor characteristics to determine the spoilage status of the items inside the refrigerator. Compared with the prior art, which can only determine whether there are items stored in the refrigerator, this application can determine the spoilage status of the items inside the refrigerator, which makes it easier for users to deal with spoiled items in the refrigerator in a timely manner, maintain the hygiene of the refrigerator, and improve the user experience.

[0029] In some embodiments, the sensor array includes one or more of a metal oxide semiconductor gas sensor, a non-dispersive infrared CO2 sensor, a spectrometer, a temperature sensor, a humidity sensor, and a piezoelectric thin film vibration sensor; the multi-source gas composition information includes one or more of the following: putrefactive gas information collected by the metal oxide semiconductor gas sensor, CO2 concentration collected by the non-dispersive infrared CO2 sensor, putrefactive characteristic spectrum collected by the spectrometer, temperature information collected by the temperature sensor, humidity information collected by the humidity sensor, and microbial activity information collected by the piezoelectric thin film vibration sensor.

[0030] Specifically, as shown in Table 1, the metal oxide semiconductor gas sensor can detect putrefactive gases such as VOCs, H2S, NH3, and methane. Multiple channels are set up to detect different gases, and a pattern recognition algorithm can distinguish putrefactive gases from different sources, further improving detection accuracy. The non-dispersive infrared CO2 sensor can monitor the carbon dioxide concentration inside the refrigerator in real time, thereby detecting the respiration of microorganisms. When bacteria multiply, the CO2 concentration rises, which is detected earlier than the odor generation stage, allowing for timely determination of item spoilage and providing users with time to clean the refrigerator. The spectrometer is used to detect changes in the material composition of items, such as protein decomposition, detecting spoilage characteristic spectra. Based on preset spectral data in the database, it identifies changes in the material composition of items. Temperature and humidity sensors are used to collect temperature and humidity information. The dual-probe design can collect temperature and humidity data inside the refrigerator and on the surface of items, and help determine the risk of condensation. The piezoelectric thin-film vibration sensor can collect information on microbial activity, such as detecting metabolic vibrations during bacterial or fungal reproduction. It should be noted that the piezoelectric thin-film vibration sensor requires noise reduction of microbial activity information before determining the spoilage state of items. The detection ranges of the temperature and humidity sensors can be set according to actual conditions. For example, the detection range of the temperature sensor is 0.5℃ and the detection range of the humidity sensor is 3%RH. No specific restrictions are imposed here.

[0031] Table 1

[0032] In some embodiments, the deterioration state of the article is determined based on primary and secondary detection results; the primary detection results are determined based on information on putrefactive gases and / or CO2 concentration; and the secondary detection results are determined based on the characteristic spectra of putrefaction.

[0033] Specifically, in order to balance system energy efficiency and the accuracy of determining the spoilage state, the detection results are graded. First, the low-power metal oxide semiconductor gas sensor and the non-dispersive infrared CO2 sensor are run. When the concentration of putrefactive gas or CO2 concentration is determined to be high, i.e., the first-level detection result is confirmed, it is determined that the item is at risk of spoilage. Second-level detection can then be performed to further determine the spoilage state of the item. The high-power spectrometer is activated to collect the spoilage characteristic spectrum and compare it with the preset spectrum in the database to determine the spoilage state of the item. Finally, the spoilage state of the item is confirmed by the spoilage characteristic spectrum.

[0034] In some embodiments, the method further includes: determining the deterioration type based on user-entered item information, multi-source gas composition information, and item deterioration characteristic data stored in the cloud, wherein the item deterioration characteristic data includes abnormal gas type data and / or the predicted deterioration duration of the item.

[0035] Specifically, since different items have different spoilage characteristics, users can pre-enter item information and multi-source gas composition information, and then integrate the spoilage characteristic data of the items stored in the cloud to conduct a comprehensive analysis of the spoilage type. For example, referring to Table 2, meat spoilage, dairy product rancidity, and vegetable and fruit mold can be classified. If the H2S concentration is 50 ppb, the CO2 concentration change rate is greater than 20 ppm / h, and the absorbance in the 920 nm band of the near-infrared spectrum increases, meat spoilage can be determined. If the ethanol concentration is greater than 30 ppm and the lactic acid bacteria vibration frequency is between 5-10 Hz, dairy product rancidity can be determined. If the NH3 concentration is greater than 20 ppb, the humidity is greater than 80%RH, and the moisture peak in the 1450 nm band of the near-infrared spectrum shifts, vegetable and fruit mold can be determined.

[0036] Table 2

[0037] Among them, based on the item information entered by the user, the data analysis model can be established in advance by referring to the multi-source gas composition information data of different types of items that are likely to deteriorate, and increasing the analysis weight of the types of gases that are likely to be generated by such items, so as to achieve targeted monitoring.

[0038] In some embodiments, the multi-source gas composition information is acquired by a sensor array when the vehicle is in a steady-state driving condition; the acquisition frequency of the sensor array is determined based on the multi-source gas composition information.

[0039] Specifically, refrigerators are susceptible to mechanical vibrations and temperature changes during vehicle operation. Road bumps and jolting can also affect the accuracy of multi-source gas composition information collected by the sensor array. To improve the accuracy of determining the spoilage state of goods, multi-source gas composition information is only collected when the vehicle is in a steady-state driving condition. This avoids misjudgments of spoilage state caused by vehicle movement. For example, sensor array data collection is paused during vehicle vibration or rapid acceleration to prevent false alarms. In hot weather, the temperature sensor alarm threshold is automatically increased. The sensor array's collection frequency is not fixed but adaptively adjusted based on the multi-source gas composition information. For instance, multi-source gas composition information is collected every 30 minutes. If any multi-source gas composition information is found to be abnormal, the collection frequency can be increased to once every 5 minutes to capture changes in the spoilage state of the goods.

[0040] In some embodiments, the method further includes: when the refrigerator is in a delayed power-off working mode, controlling the metal oxide semiconductor gas sensor and the non-dispersive infrared CO2 sensor to continue working, and controlling the spectrometer, temperature sensor, humidity sensor and piezoelectric thin film vibration sensor to stop working.

[0041] Specifically, to reduce power consumption and extend the refrigerator's item detection time, the in-vehicle refrigerator enters a delayed power-off mode after the vehicle is turned off. Only the low-power metal oxide semiconductor gas sensor and the non-dispersive infrared CO2 sensor remain operational, while the spectrometer, temperature sensor, humidity sensor, and piezoelectric film vibration sensor cease operation. The refrigerator can automatically enter power-off mode when the vehicle is turned off and resume monitoring upon the next vehicle ignition, or the user can manually activate the delayed power-off mode, which provides continuous power for 12 hours before entering power-off mode.

[0042] In some embodiments, the method further includes: when the item deteriorates to the point that there is an item that has deteriorated in the refrigerator, performing a graded deterioration warning based on a deterioration alarm strategy, wherein the deterioration warning method includes at least local alarm and remote alarm.

[0043] Specifically, when it is determined that items inside the refrigerator have spoiled, an alarm can be triggered via the local alarm module or remotely to the user via an app, reminding the user to clean the inside of the refrigerator, replace or discard the items inside, thereby improving the convenience of using the refrigerator and food safety, and providing more reliable protection for users storing items in the refrigerator.

[0044] For example, the graded spoilage warning system can be referenced in Table 3, divided into three levels: Emergency, Warning, and Alert. When highly toxic gases such as H2S concentrations exceeding 100 ppb are detected, or when severe spoilage is detected (e.g., meat spoilage confidence greater than 90%), the spoilage warning level is set to Emergency. The vehicle's buzzer sounds at a high frequency, the app displays a full-screen pop-up, and a text message notification appears on the vehicle's central control screen with a red warning. If a moderate risk is detected, such as a sudden increase in CO2 concentration, excessive ethanol concentration, or humidity consistently exceeding 85% RH, the spoilage warning level is set to Warning. The buzzer sounds intermittently, the app pushes a notification, and the central control screen displays a yellow alert. If the sensor array self-test malfunctions or environmental parameters reach critical levels (e.g., temperature approaching the set upper limit), the spoilage warning level is set to Alert. The app sends a silent notification, the status bar icon flashes, and the information is recorded in the historical log. To avoid momentary interference, each level of spoilage warning requires multi-source gas composition information to be maintained for a preset duration to determine the alarm level. If no deterioration of the item's spoilage status is detected for an extended period, the alarm level is lowered.

[0045] Table 3

[0046] For example, refer to Figure 2 The refrigerator item detection method of the present invention is described in the figure below, and the specific steps are as follows.

[0047] Step S2: The user logs in / binds the vehicle through the APP display module.

[0048] Step S3: Store items in the car refrigerator. Enter the information about the stored items via voice input or on-screen buttons.

[0049] In step S4, the predicted spoilage time of the items is displayed to the user via the APP module, and the car refrigerator starts working.

[0050] Step S5: The sensor array adaptively adjusts the acquisition frequency of multi-source gas composition information, and determines the deterioration status of the item based on the primary detection results and secondary detection results.

[0051] Step S6: Determine that the items in the refrigerator have spoiled, and issue a graded spoilage warning based on the spoilage alarm strategy.

[0052] In step S7, after receiving the alarm information, the user can select "read notification" and take corresponding action.

[0053] A second aspect of the present invention provides an electronic device 100, with reference to Figure 3 As shown, the electronic device 100 includes: at least one processor 10; and a memory 20 communicatively connected to the at least one processor 10.

[0054] The memory 20 stores a computer program that can be executed by at least one processor 10. When the at least one processor 10 executes the computer program, it implements the refrigerator item detection method of the above embodiment.

[0055] According to an embodiment of the present invention, the electronic device 100 executes a computer program stored in the memory 20 through the processor 10 to implement a refrigerator item detection method. This method can determine the spoilage status of items inside the refrigerator, facilitating timely handling of spoiled items by the user to maintain refrigerator hygiene and improve the user experience. A third aspect of the present invention provides a vehicle 200, with reference to Figure 4 As shown, vehicle 200 includes onboard refrigerator 30, sensor array 40 and controller 50.

[0056] The sensor array 40 is used to collect multi-source gas composition information inside the vehicle refrigerator 30; the controller 50 is used to execute the refrigerator item detection method described in the above embodiment.

[0057] For details, please refer to Figure 5The vehicle 200 described in this embodiment of the invention allows users to manually or verbally input the type and location of stored items beforehand via a controller 50. This coordinates a data analysis model that uses a sensor array to detect multi-source gas composition information. The collected data is then exchanged with the user's mobile app via the cloud. The system also sets the refrigerator's operating mode. Based on the user's pre-input type of stored items and referencing cloud-stored data on the types of abnormal gases most likely to be produced by different types of items due to spoilage, a data analysis model is pre-established. The model prioritizes the types of gases that are likely to be produced by these items, enabling targeted monitoring. Through a user interface, the system supports physical button settings and remote control via the app. The key operation allows switching between power-off mode and power-off delay mode via a short press of the mode button, and entering the power-off delay mode setting via a long press for 3 seconds. An LED ring indicates the current mode: blue for power-off mode and yellow for delayed power-off mode. A forced detection button can be set; double-clicking the forced detection button initiates an immediate detection, while the LED flashes until completion. The APP remote control provides real-time status display, such as the current temperature inside the refrigerator, mode, remaining power-off delay time, or the last item detection result. It also manages spoilage warnings, allowing users to manually disable alarms or mark spoilage warnings. Historical records can be viewed, showing the refrigerator's temperature curve and spoilage warning times for the past 24 hours.

[0058] The cloud-based system stores a database containing information on the composition of various gases produced by the deterioration of different types of items, as well as predictions of the deterioration duration for each type of item. By receiving information on the composition of various gases from the vehicle's refrigerator via the vehicle network, and combining this information with the type of items stored by the user each time and the deterioration duration, the system provides personalized recommendations for estimated storage duration. It also interacts with the customer's mobile app to achieve data synchronization and remote control.

[0059] The alarm module 70 is responsible for issuing graded spoilage warnings based on a spoilage alarm strategy when it detects that there are spoiled items in the refrigerator. It can trigger alarms in real time and immediately start the corresponding alarms. It can also provide dual protection through a combination of vehicle-mounted local alarm and remote notification via a mobile APP. It can handle user feedback and supports alarm confirmation, mute, and false alarm marking functions.

[0060] The APP display module 80, located on the user's mobile phone, can remotely notify the user of information. For example, the top status bar displays the vehicle name, refrigerator connection status, and current refrigerator mode. The core information area displays a graph showing the real-time temperature inside the refrigerator and the temperature trend over the past hour. Multi-source gas composition information uses color-coded icons: green represents normal, yellow represents a risk of spoilage, and red indicates that spoiled items have been detected, accompanied by corresponding text descriptions. The refrigerator's operating status is displayed with animated icons, and the system allows for switching between delayed power-off mode and manual triggering of refrigerator item detection. When an alarm notification interface detects spoiled items inside the refrigerator, a full-screen alarm will pop up. The window details the detection time, multi-source gas composition information type, and provides suggested operating steps. It offers two options: "I understand" and "View details," used to disable the alarm and view historical records, respectively. The delayed power-off mode setting interface allows users to adjust the duration of the delayed power-off mode (1 to 12 hours) via a slider and set the start and stop temperature thresholds. After confirming and activating the delayed power-off mode, it provides users with power management solutions. The historical record interface presents all historical deterioration warning events in a list format, including key information such as the specific time, multi-source gas composition information type, and processing status, allowing users to easily review the refrigerator's operating status and corresponding countermeasures.

[0061] According to an embodiment of the present invention, the vehicle 200 collects multi-source gas composition information inside the vehicle refrigerator 30 in real time through the sensor array 40 and sends it to the controller 50. The controller 50 can then identify different items based on their odor characteristics, determine the spoilage status of the items inside the vehicle refrigerator 30, and facilitate timely handling of spoiled items to maintain refrigerator hygiene, thereby improving the user experience. In some embodiments, the sensor array includes one or more of a metal oxide semiconductor gas sensor, a non-dispersive infrared CO2 sensor, a spectrometer, a temperature sensor, a humidity sensor, and a piezoelectric thin film vibration sensor.

[0062] Specifically, in view of the diversity of items stored in the refrigerator, this application sets up a sensor array to collect multi-source gas composition information, and judges the deterioration state of the items from multiple angles, thereby improving the accuracy and robustness of deterioration state identification.

[0063] In the description of this specification, any process or method described in the flowcharts or otherwise herein may be understood as representing a module, segment, or portion of code comprising one or more executable instructions for implementing custom logic functions or processes, and the scope of the preferred embodiments of the invention includes additional implementations in which functions may be performed not in the order shown or discussed, including substantially simultaneously or in reverse order according to the functions involved, as will be understood by those skilled in the art to which embodiments of the invention pertain.

[0064] The logic and / or steps represented in the flowchart or otherwise described herein, for example, can be considered as a sequenced list of executable instructions for implementing logical functions, and can be embodied in any computer-readable medium for use by, or in conjunction with, an instruction execution system, apparatus, or device (such as a computer-based system, a processor-included system, or other system that can fetch and execute instructions from, an instruction execution system, apparatus, or device). For the purposes of this specification, "computer-readable medium" can be any means that can contain, store, communicate, propagate, or transmit programs for use by, or in conjunction with, an instruction execution system, apparatus, or device. More specific examples (a non-exhaustive list) of computer-readable media include: an electrical connection having one or more wires (electronic device), a portable computer disk drive (magnetic device), random access memory (RAM), read-only memory (ROM), erasable and editable read-only memory (EPROM or flash memory), fiber optic devices, and portable optical disc read-only memory (CDROM). Furthermore, computer-readable media can even be paper or other suitable media on which programs can be printed, because programs can be obtained electronically, for example, by optically scanning the paper or other media, followed by editing, interpreting, or otherwise processing as necessary, and then stored in computer memory.

[0065] It should be understood that various parts of the present invention can be implemented in hardware, software, firmware, or a combination thereof. In the above embodiments, multiple steps or methods can be implemented in software or firmware stored in memory and executed by a suitable instruction execution system. For example, if implemented in hardware as in another embodiment, it can be implemented using any of the following techniques known in the art, or a combination thereof: discrete logic circuits having logic gates for implementing logical functions on data signals, application-specific integrated circuits (ASICs) having suitable combinational logic gates, programmable gate arrays (PGAs), field-programmable gate arrays (FPGAs), etc.

[0066] Those skilled in the art will understand that all or part of the steps of the methods described in the above embodiments can be implemented by a program instructing related hardware, and the program can be stored in a computer-readable storage medium. When executed, the program includes one or a combination of the steps of the method embodiments.

[0067] Furthermore, the functional units in the various embodiments of the present invention can be integrated into a processing module, or each unit can exist physically separately, or two or more units can be integrated into a module. The integrated module can be implemented in hardware or as a software functional module. If the integrated module is implemented as a software functional module and sold or used as an independent product, it can also be stored in a computer-readable storage medium.

[0068] The storage medium mentioned above can be a read-only memory, a disk, or an optical disk, etc. Although embodiments of the present invention have been shown and described above, it is to be understood that the above embodiments are exemplary and should not be construed as limiting the present invention. Those skilled in the art can make changes, modifications, substitutions, and variations to the above embodiments within the scope of the present invention.

[0069] In the description of this specification, references to terms such as "one embodiment," "some embodiments," "illustrative embodiment," "example," "specific example," or "some examples," etc., refer to specific features, structures, materials, or characteristics described in connection with that embodiment or example, which are included in at least one embodiment or example of the present invention. In this specification, the illustrative expressions of the above terms do not necessarily refer to the same embodiment or example.

[0070] Although embodiments of the invention have been shown and described, those skilled in the art will understand 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 claims and their equivalents.

Claims

1. A method for detecting items in a refrigerator, characterized in that, include: The spoilage status of items is determined based on multi-source gas composition information inside the refrigerator, wherein the multi-source gas composition information is collected by a sensor array.

2. The refrigerator item detection method according to claim 1, characterized in that, The sensor array includes one or more of the following: a metal oxide semiconductor gas sensor, a non-dispersive infrared CO2 sensor, a spectrometer, a temperature sensor, a humidity sensor, and a piezoelectric thin film vibration sensor. The multi-source gas composition information includes one or more of the following: putrefactive gas information collected by the metal oxide semiconductor gas sensor, CO2 concentration collected by the non-dispersive infrared CO2 sensor, putrefactive characteristic spectrum collected by the spectrometer, temperature information collected by the temperature sensor, humidity information collected by the humidity sensor, and microbial activity information collected by the piezoelectric thin film vibration sensor.

3. The refrigerator item detection method according to claim 2, characterized in that, The deterioration state of the item was determined based on the results of primary and secondary testing. The primary detection result is determined based on the putrefactive gas information and / or the CO2 concentration; The secondary detection results are determined based on the corrosion characteristic spectrum.

4. The refrigerator item detection method according to claim 3, characterized in that, The method further includes: The spoilage type is determined based on the item information entered by the user, the multi-source gas composition information, and the item spoilage characteristic data stored in the cloud. The item spoilage characteristic data includes abnormal gas type data and / or the predicted spoilage duration of the item.

5. The refrigerator item detection method according to claim 2, characterized in that, The multi-source gas composition information is collected by a sensor array when the vehicle is in a steady-state driving condition. The sampling frequency of the sensor array is determined based on the multi-source gas composition information.

6. The refrigerator item detection method according to claim 2, characterized in that, The method further includes: When the refrigerator is in the delayed power-off mode, the metal oxide semiconductor gas sensor and the non-dispersive infrared CO2 sensor are controlled to continue working, while the spectrometer, the temperature sensor, the humidity sensor and the piezoelectric thin film vibration sensor are controlled to stop working.

7. The refrigerator item detection method according to claim 1, characterized in that, The method further includes: When the item is in a spoiled state, i.e. there is a spoiled item in the refrigerator, a graded spoilage warning is issued based on a spoilage alarm strategy. The spoilage warning method includes at least local alarm and remote alarm.

8. An electronic device, characterized in that, include: At least one processor; A memory that is communicatively connected to at least one of the processors; The memory stores a computer program that can be executed by at least one of the processors, and when the at least one processor executes the computer program, it implements the refrigerator item detection method according to any one of claims 1-7.

9. A vehicle, characterized in that, include: A vehicle-mounted refrigerator and a sensor array, wherein the sensor array is used to collect information on the composition of multi-source gases inside the refrigerator; The controller, the steering controller being used to perform the refrigerator item detection method according to any one of claims 1-7.

10. The vehicle according to claim 9, characterized in that, The sensor array includes one or more of the following: a metal oxide semiconductor gas sensor, a non-dispersive infrared CO2 sensor, a spectrometer, a temperature sensor, a humidity sensor, and a piezoelectric thin film vibration sensor.

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