Control method and device of vehicle-mounted temperature sensing device and computer program product

Abstract

The invention discloses a control method and device of a vehicle-mounted temperature sensing device and a computer program product, and the method comprises the steps: obtaining the image information of a placement object in the vehicle-mounted temperature sensing device, and recognizing the information of the placement object; generating a recommended control mode of the vehicle-mounted temperature sensing device according to the placement object information and the user schedule information; and interacting with the user to confirm the recommended control mode, determining a final control instruction according to user feedback, and transmitting the final control instruction to the vehicle-mounted temperature sensing device for execution. By means of image acquisition and identification, user schedule integration and an intelligent algorithm, the control mode of the intelligent recommendation vehicle-mounted temperature sensing device is realized, the operation process is simplified, the user can enjoy personalized temperature control without manual setting, and the comfort and the satisfaction degree are improved.

Description

Technical Field

[0001] The present invention relates to the technical field of intelligent connected vehicles, and in particular to a control method, device and computer program product of a vehicle-mounted temperature sensing device. Background Art

[0002] With the vigorous development of generative big model technology, it has shown great application potential in the field of automotive intelligence. The understanding and control capabilities of multimodal big model technology provide solid technical support for the innovation of automotive human-computer interaction.

[0003] In the process of automobile intelligence, how to effectively use artificial intelligence technology to carry out deep technological changes in traditional automobile devices has become a key issue that needs to be solved urgently. Traditional automobile devices face many challenges in intelligent transformation. For example, the interaction mode of the vehicle-mounted temperature sensing devices used by many OEMs is still relatively limited. The current operation method mainly relies on touch interaction. When users adjust the temperature and select the mode, they often need to go through multiple steps of tedious operations. More importantly, such devices lack the visual perception and language understanding ability of the placed objects, and cannot realize the intelligent human-computer interaction function based on visual language fusion. This traditional interaction method is difficult to meet the users' growing convenience and intelligence needs, and is also incompatible with the general trend of modern automobile intelligent development. Summary of the invention

[0004] The technical problem to be solved by the embodiments of the present invention is to provide a control method, device and computer program product for a vehicle-mounted temperature sensing device, so as to expand the interaction mode of the vehicle-mounted temperature sensing device and improve the degree of intelligence.

[0005] In order to solve the above technical problems, the present invention provides a control method of a vehicle-mounted temperature sensing device, comprising the following steps:

[0006] Obtaining image information of an object placed in the vehicle-mounted temperature sensing device and identifying the information of the object;

[0007] Generate a recommended control mode for the vehicle-mounted temperature sensing device according to the placed object information and the user schedule information;

[0008] Interact with the user to confirm the recommended control mode, determine the final control instruction based on user feedback, and transmit it to the vehicle-mounted temperature sensing device for execution.

[0009] Preferably, generating a recommended control mode of the vehicle-mounted temperature sensing device according to the placed object information and the user schedule information specifically includes:

[0010] Determine the temperature sensing control mode type and temperature range of the placed object according to the placed object information;

[0011] Obtain the planned usage time of the placed object based on the user's itinerary information;

[0012] According to the time difference between the current time and the planned usage time and the preset time threshold, the recommended control mode corresponding to the different time stages is determined, and the recommended control mode at least includes a control mode switching time point and a temperature adjustment value.

[0013] Preferably, the step of interacting with the user to confirm the recommended control mode, determining the final control instruction according to user feedback, and transmitting the final control instruction to the vehicle-mounted temperature sensing device for execution specifically includes:

[0014] When the user agrees with the recommended control mode, the control instruction to be executed by the vehicle-mounted temperature sensing device is sent to the vehicle-mounted temperature sensing device through the gateway for execution;

[0015] When the user feedback disagrees with the recommended control mode, the control mode of the vehicle-mounted temperature sensing device manually set by the user is sent to the vehicle-mounted temperature sensing device through the gateway in the form of a control instruction for execution.

[0016] Preferably, when the user feedback disagrees with the recommended control mode, the method further includes:

[0017] Recording the scene information and placed object information of the recommended control mode that the user disagrees with, as well as the control mode set by the user;

[0018] Analyze the frequency of users disagreeing with the recommended control mode in different scenarios and setting the control mode by themselves through machine learning or statistical methods to obtain the user preference mode;

[0019] When the same scenario occurs again, the corresponding user preference mode is determined as the new recommended control mode based on self-learning.

[0020] Preferably, the step of acquiring image information of an object placed in the vehicle-mounted temperature sensing device and identifying information of the object placed specifically includes:

[0021] Obtaining image information of the object placed in the vehicle-mounted temperature sensing device obtained by photographing the object, or image information of the object intercepted from a video stream obtained by photographing;

[0022] The image of the placed object is understood and analyzed through a cloud-side big model or a terminal-side big model to generate a text result for describing the placed object, wherein the text result at least includes the type and specific specifications of the placed object.

[0023] The present invention also provides a control device for a vehicle-mounted temperature sensing device, which is integrated in an infotainment system and includes:

[0024] The recognition module is used to obtain the image information of the object placed in the vehicle-mounted temperature sensing device and recognize the information of the object;

[0025] A generating module, used for generating a recommended control mode of the vehicle-mounted temperature sensing device according to the placed object information and the user schedule information;

[0026] The execution module interacts with the user to confirm the recommended control mode, determines the final control instruction based on the user feedback, and transmits it to the vehicle-mounted temperature sensing device for execution.

[0027] Preferably, the device also includes a self-learning module, which is used to record the scene information, placed object information and control mode set by the user in which the user disagrees with the recommended control mode when the user feedback disagrees with the recommended control mode; analyze the frequency of the user disagreeing with the recommended control mode and setting the control mode by themselves in different scenarios through machine learning or statistical methods to obtain the user preference mode; when the same scene appears again, the corresponding user preference mode is determined as the new recommended control mode based on self-learning.

[0028] Preferably, the identification module is specifically used for:

[0029] Obtaining image information of the object placed in the vehicle-mounted temperature sensing device obtained by photographing the object, or image information of the object intercepted from a video stream obtained by photographing;

[0030] The image of the placed object is understood and analyzed through a cloud-side big model or a terminal-side big model to generate a text result for describing the placed object, wherein the text result at least includes the type and specific specifications of the placed object.

[0031] The present invention also provides a control device for a vehicle-mounted temperature sensing device, comprising:

[0032] one or more processors;

[0033] Memory;

[0034] One or more applications, wherein the one or more applications are stored in the memory and are configured to be executed by the one or more processors, and the one or more applications are configured to execute the control method of the vehicle-mounted temperature sensing device.

[0035] The present invention also provides a computer program product, comprising computer instructions, wherein the computer instructions instruct a computer device to execute operations corresponding to the method.

[0036] The implementation of the present invention has the following beneficial effects: the present invention uses image acquisition and recognition, user schedule integration and intelligent algorithms to achieve intelligent recommendation of the control mode of the vehicle-mounted temperature sensing device, simplify the operation process, and users can enjoy personalized temperature control without manual settings, thereby improving comfort and satisfaction. The recommended control mode can optimize the operation of the vehicle-mounted temperature sensing device according to the demand for items and the user's itinerary plan, avoid energy waste, and improve energy efficiency. Provide suitable environmental protection for special temperature-controlled items to promote healthy living. And provide personalized services through self-learning of user habits to enhance interactivity. Ultimately, it becomes a differentiated competitive advantage for vehicles, effectively attracts consumers, enhances market competitiveness, and shows broad application prospects and important social value in many aspects. BRIEF DESCRIPTION OF THE DRAWINGS

[0037] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0038] Figure 1 It is a flow chart of a control method of a vehicle-mounted temperature sensing device according to an embodiment of the present invention.

[0039] Figure 2 It is a schematic diagram of the implementation architecture of a control method for a vehicle-mounted temperature sensing device according to Embodiment 1 of the present invention.

[0040] Figure 3 It is a specific flow chart of a control method of a vehicle-mounted temperature sensing device according to an embodiment of the present invention. DETAILED DESCRIPTION

[0041] The following descriptions of the embodiments refer to the accompanying drawings to illustrate specific embodiments in which the present invention may be implemented.

[0042] Please refer to Figure 1 As shown, a first embodiment of the present invention provides a control method for a vehicle-mounted temperature sensing device, comprising the following steps:

[0043] Obtaining image information of an object placed in the vehicle-mounted temperature sensing device and identifying the information of the object;

[0044] Generate a recommended control mode for the vehicle-mounted temperature sensing device according to the placed object information and the user schedule information;

[0045] Interact with the user to confirm the recommended control mode, determine the final control instruction based on user feedback, and transmit it to the vehicle-mounted temperature sensing device for execution.

[0046] Through the above steps, it can be known that the embodiment of the present invention can accurately determine the characteristics of the placed objects and realize intelligent identification by identifying the image information of the objects placed by the vehicle-mounted temperature sensing device, thus overcoming the limitation that the traditional temperature sensing device can only interact with simple touch and cannot intelligently identify the placed objects, and greatly expanding the interaction mode. By combining the information of the placed objects with the user's schedule information to generate the recommended control mode, the operation of the temperature sensing device can be automatically planned according to the user's itinerary and item requirements, which improves the intelligence level of the device and the user experience. Confirming the recommended control mode with the user and executing the instructions provides the user with a convenient and user-friendly operation method, allowing the user to easily participate in the control process, further optimizing the human-computer interaction experience.

[0047] Specifically, please combine Figure 2 As shown, it shows the implementation architecture of a control method of a vehicle-mounted temperature sensing device according to an embodiment of the present invention.

[0048] The vehicle-mounted temperature sensing device is a device provided to the user for placing a device that needs to be refrigerated or heated, such as a common vehicle-mounted refrigerator; at the same time, the vehicle-mounted temperature sensing device in the embodiment of the present invention also has a camera, which can take pictures of the objects placed in the vehicle-mounted temperature sensing device;

[0049] The gateway is a port device in the car that provides data transmission and supports CAN, RTP and other protocol transmissions;

[0050] The infotainment system is an intelligent system that provides human-computer interaction between users and cars, including the user schedule information subsystem, intelligent voice interaction subsystem, user scenario recommender, etc.

[0051] TBOX is used to provide communication between the car and the cloud server;

[0052] The cloud server stores a cloud-based generative image understanding model, which can perform generative model understanding on image information and generate text results from the understanding results.

[0053] Please combine again Figure 3 As shown, the specific process of a control method of a vehicle-mounted temperature sensing device according to an embodiment of the present invention is as follows:

[0054] First, the camera of the vehicle-mounted temperature sensing device is used to shoot a video of the items placed by the user in the vehicle-mounted temperature sensing device, and the video stream is transmitted to the infotainment system for caching through the gateway RTP protocol. It is understandable that the camera has the ability to accurately detect the presence of placed objects, and when the placed objects are detected, the shooting mechanism can be triggered accordingly. In addition, the camera also has the ability to automatically adjust the light or automatically turn on the fill light function in a low-light environment to ensure that qualified videos can be taken under different lighting conditions, avoiding poor video quality due to poor light and thus affecting the smooth progress of the entire control process.

[0055] After receiving the video stream, the infotainment system intercepts the valid frame images. There are two ways to identify the information of the placed objects from the intercepted images. One is to upload the intercepted images to the generative image understanding model of the cloud server through TBOX, and the generative image understanding model will understand the uploaded image content; the other is to identify it by the end-side model on the vehicle side. Identify what the placed object is, its specific specifications (size, capacity), and other information, and finally convert these understanding results into text form. For example, if the user places a bottle of breast milk in the car temperature sensing device, it will be understood based on the intercepted image, and finally generate the information of the placed object in the form of text - a bottle of 180ml Pigeon milk bottle of dairy products; if the user places a can of Coke, it will also be understood based on the intercepted image, and finally generate the information of the placed object in the form of text - a can of Coca-Cola Zero in an aluminum can.

[0056] It should be noted that in the embodiment of the present invention, according to the fluency and processing speed of the video stream, a suitable frame capture frequency is set to ensure that the captured pictures can represent the main content of the video. The captured frame pictures have sufficient resolution and clarity so that the large model can be accurately recognized.

[0057] The infotainment system has the ability to obtain the user's schedule information by recording the schedule information manually entered by the user, or receiving the schedule information synchronized from the user's mobile phone and other related smart devices, so as to integrate and form a complete set of user schedule information. At the same time, the accuracy and completeness of the synchronized or input schedule information need to be verified. In addition, in the entire process of processing user schedule information, relevant privacy protection policies and regulations should be strictly observed to fully protect the privacy rights and interests of users and avoid privacy leaks caused by the collection and use of schedule information. As an example, user travel information may include the current time, the time when the user plans to use the placement, the travel route, etc.

[0058] Afterwards, the infotainment system generates a recommended result for the control mode of the placed object based on the recognition results of the placed object fed back from the cloud server or the terminal-side large model and the above-mentioned user travel information.

[0059] Specifically, the infotainment system first uses the cloud-based large model or the terminal-side large model to identify and understand the results of the placed objects, such as the type and capacity of the placed objects, and combines the user's travel information, such as the current time and the planned use time for the placed object (such as breast milk), etc., and uses preset rules or algorithms to generate the recommended control mode of the vehicle-mounted temperature sensing device. For example, the recognition result of the placed object fed back from the cloud server is a bottle of 180ml breast milk, and the user's travel information obtained includes the current time and the user's planned feeding time; the recommended control mode of the vehicle-mounted temperature sensing device generated based on the above information is: X minutes before the planned feeding time, the vehicle-mounted temperature sensing device is set to the refrigeration mode, and the temperature is adjusted to a constant temperature of 2 degrees Celsius; when it reaches Y minutes before the planned feeding time, the vehicle-mounted temperature sensing device is set to the heating mode, and the temperature is adjusted to 40 set degrees. It can be seen that in the above example, according to the time difference between the planned feeding time and the current time, the working mode and temperature setting of the vehicle-mounted temperature sensing device are automatically adjusted at a specific time node to ensure that the breast milk is stored under appropriate temperature conditions and can be adjusted to a suitable feeding temperature in time when needed, realizing intelligent temperature control planning.

[0060] It can be seen from this that when the embodiment of the present invention generates a recommended control mode, it determines the appropriate temperature control mode type (such as refrigeration, heating, etc.) and temperature range according to the information of the placed object; based on the time difference between the current time and the planned usage time and the preset time threshold, it determines the specific control mode of the vehicle-mounted temperature sensing device corresponding to different time stages (such as the control mode switching time point, temperature adjustment value, etc.), thereby generating a recommended control mode.

[0061] The following is an example of generating a recommended control mode when placing a can of cola in the vehicle temperature sensing device:

[0062] Collect key time points in the user's travel information: Assume that the current time of the user is 3 pm, as obtained through the infotainment system, and based on the user's schedule information, it is known that the user plans to drink Coke at 5 pm.

[0063] Determine the appropriate temperature control mode type and temperature range based on the information of the placed object: Coke is usually suitable for refrigerated storage, and the temperature range can be set between 2-6 degrees Celsius.

[0064] Based on the time difference between the current time and the planned time and the preset time threshold, the specific control mode of the temperature sensor corresponding to different time stages is determined: from 3 pm to 4:30 pm, the vehicle-mounted temperature sensor is set to refrigeration mode, and the temperature is adjusted to a constant temperature of 4 degrees Celsius to maintain the cool taste of the cola. When it reaches 4:30 pm (that is, 30 minutes before the planned drinking time), the vehicle-mounted temperature sensor can fine-tune the temperature appropriately, such as adjusting it to 6 degrees Celsius, so that when the user drinks the cola, the taste will not be affected by the low temperature.

[0065] After generating the recommended control mode, the intelligent voice interaction subsystem in the infotainment system asks the user whether he agrees to set the vehicle temperature sensor according to the recommended control mode. If the user agrees, the infotainment system will send the control instructions to the vehicle temperature sensor through the gateway for execution. If the user disagrees, the user can manually set the control mode of the vehicle temperature sensor and send it to the vehicle temperature sensor through the gateway for execution.

[0066] After receiving the control command transmitted through the gateway, the vehicle temperature sensing device executes according to the control command. After execution, it returns the execution status or result to the infotainment system so that the infotainment system can monitor and record it.

[0067] If the user does not agree to the recommended control mode, each rejection of the user is recorded. The recorded user behavior data is deeply mined and analyzed with the help of machine learning or statistical methods. For example, the frequency of users rejecting the recommended control mode and setting the control mode by themselves in different scenarios, the specific setting content and other multi-dimensional data are counted to identify the user's unique preference patterns and habitual rules, such as the user may tend to set a specific temperature or mode for a specific object at a specific time.

[0068] Finally, the personalized recommendation strategy is dynamically adjusted based on the analysis results of the learning algorithm. When it is found that the user has multiple consistent autonomous setting behaviors in a specific scenario, it is determined to be a recognizable preference pattern. When encountering the same scenario again, it will be recommended to the user according to the personalized control mode determined by self-learning, so that the recommended content is more in line with the user's actual needs, effectively improving the accuracy of personalized recommendations, and then improving the user's satisfaction with the entire vehicle temperature sensor control system, enhancing the interaction fit and friendliness between the user and the system, and promoting the vehicle temperature sensor to a higher level in terms of intelligent interactive experience.

[0069] Corresponding to the control method of the vehicle-mounted temperature sensing device described in the first embodiment of the present invention, the second embodiment of the present invention further provides a control device of the vehicle-mounted temperature sensing device, which is integrated in the infotainment system, and includes:

[0070] The recognition module is used to obtain the image information of the object placed in the vehicle-mounted temperature sensing device and recognize the information of the object;

[0071] A generating module, used for generating a recommended control mode of the vehicle-mounted temperature sensing device according to the placed object information and the user schedule information;

[0072] The execution module interacts with the user to confirm the recommended control mode, determines the final control instruction based on the user feedback, and transmits it to the vehicle-mounted temperature sensing device for execution.

[0073] Preferably, the device also includes a self-learning module, which is used to record the scene information, placed object information and control mode set by the user in which the user disagrees with the recommended control mode when the user feedback disagrees with the recommended control mode; analyze the frequency of the user disagreeing with the recommended control mode and setting the control mode by themselves in different scenarios through machine learning or statistical methods to obtain the user preference mode; when the same scene appears again, the corresponding user preference mode is determined as the new recommended control mode based on self-learning.

[0074] Preferably, the identification module is specifically used for:

[0075] Obtaining image information of the object placed in the vehicle-mounted temperature sensing device obtained by photographing the object, or image information of the object intercepted from a video stream obtained by photographing;

[0076] The image of the placed object is understood and analyzed through a cloud-side big model or a terminal-side big model to generate a text result for describing the placed object, wherein the text result at least includes the type and specific specifications of the placed object.

[0077] Corresponding to the control method of the vehicle-mounted temperature sensing device described in the first embodiment of the present invention, the third embodiment of the present invention further provides a control device of the vehicle-mounted temperature sensing device, including:

[0078] one or more processors;

[0079] Memory;

[0080] One or more applications, wherein the one or more applications are stored in the memory and configured to be executed by the one or more processors, and the one or more applications are configured to execute the control method of the vehicle-mounted temperature sensing device described in the aforementioned embodiment 1 of the present invention.

[0081] Corresponding to the control method of the vehicle-mounted temperature sensing device described in the aforementioned embodiment of the present invention, embodiment 4 of the present invention also provides a computer program product, including computer instructions, and the computer instructions instruct the computer device to perform operations corresponding to the control method of the vehicle-mounted temperature sensing device described in the aforementioned embodiment of the present invention.

[0082] Preferably, the processor may be a central processing unit (CPU), or other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), field-programmable gate arrays (FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. The general-purpose processor may be a microprocessor, or the processor may be any conventional processor. The processor is the control center of the device, and various parts of the device are connected using various interfaces and lines.

[0083] The memory mainly includes a program storage area and a data storage area, wherein the program storage area can store an operating system, an application required for at least one function, etc., and the data storage area can store related data, etc. In addition, the memory can be a high-speed random access memory, or a non-volatile memory, such as a plug-in hard disk, a smart memory card (SmartMedia Card, SMC), a secure digital (Secure Digital, SD) card, and a flash card (Flash Card), etc., or the memory can also be other volatile solid-state storage devices.

[0084] It should be noted that the above-mentioned device may include but is not limited to a processor and a memory, which can be understood by those skilled in the art.

[0085] For the working principle and process of the above embodiment, please refer to the description of the above embodiment of the present invention, which will not be repeated here.

[0086] It can be seen from the above description that compared with the prior art, the beneficial effects of the present invention are: the present invention uses image acquisition and recognition, user schedule integration and intelligent algorithms to realize intelligent recommendation of the control mode of the vehicle-mounted temperature sensing device, simplify the operation process, and users can enjoy personalized temperature control without manual settings, thereby improving comfort and satisfaction. The recommended control mode can optimize the operation of the vehicle-mounted temperature sensing device according to the demand for items and the user's itinerary plan, avoid energy waste, and improve energy efficiency. Provide suitable environmental protection for special temperature-controlled items to promote healthy living. And provide personalized services and enhance interactivity through self-learning of user habits. Ultimately, it becomes a differentiated competitive advantage of the vehicle, effectively attracts consumers, enhances market competitiveness, and shows broad application prospects and important social value in many aspects.

[0087] The above disclosure is only the preferred embodiment of the present invention, which certainly cannot be used to limit the scope of the present invention. Therefore, equivalent changes made according to the claims of the present invention are still within the scope of the present invention.

Claims

1. A control method for a vehicle-mounted temperature sensing device, characterized in that: The following steps are involved: Obtaining image information of an object placed in the vehicle-mounted temperature sensing device and identifying the information of the object; Generate a recommended control mode for the vehicle-mounted temperature sensing device according to the placed object information and the user schedule information; Interact with the user to confirm the recommended control mode, determine the final control instruction based on user feedback, and transmit it to the vehicle-mounted temperature sensing device for execution.

2. The method according to claim 1, characterized in that The generating a recommended control mode of the vehicle-mounted temperature sensing device according to the placed object information and the user schedule information specifically includes: Determine the temperature sensing control mode type and temperature range of the placed object according to the placed object information; Obtain the planned usage time of the placed object based on the user's itinerary information; According to the time difference between the current time and the planned usage time and the preset time threshold, the recommended control mode corresponding to the different time stages is determined, and the recommended control mode at least includes a control mode switching time point and a temperature adjustment value.

3. The method according to claim 1, characterized in that The step of interacting with the user to confirm the recommended control mode, determining the final control instruction according to the user feedback, and transmitting the final control instruction to the vehicle-mounted temperature sensing device for execution specifically includes: When the user agrees with the recommended control mode, the control command to be executed by the vehicle-mounted temperature sensing device is sent to the vehicle-mounted temperature sensing device through the gateway for execution; When the user feedback disagrees with the recommended control mode, the control mode of the vehicle-mounted temperature sensing device manually set by the user is sent to the vehicle-mounted temperature sensing device through the gateway in the form of a control instruction for execution.

4. The method according to claim 3, characterized in that When the user feedback disagrees with the recommended control mode, it also includes: Recording the scene information and placed object information of the recommended control mode that the user disagrees with, as well as the control mode set by the user; Analyze the frequency of users disagreeing with the recommended control mode in different scenarios and setting the control mode by themselves through machine learning or statistical methods to obtain the user preference mode; When the same scenario occurs again, the corresponding user preference mode is determined as the new recommended control mode based on self-learning.

5. The method according to claim 1, characterized in that: The step of obtaining image information of an object placed in the vehicle-mounted temperature sensing device and identifying information of the object placed specifically includes: Obtaining image information of the object placed in the vehicle-mounted temperature sensing device obtained by photographing the object, or image information of the object intercepted from a video stream obtained by photographing; The image of the placed object is understood and analyzed through a cloud-side big model or a terminal-side big model to generate a text result for describing the placed object, wherein the text result at least includes the type and specific specifications of the placed object.

6. A control device for a vehicle-mounted temperature sensing device, integrated in an infotainment system, characterized in that: include: The recognition module is used to obtain the image information of the object placed in the vehicle-mounted temperature sensing device and recognize the information of the object; A generating module, used for generating a recommended control mode of the vehicle-mounted temperature sensing device according to the placed object information and the user schedule information; The execution module interacts with the user to confirm the recommended control mode, determines the final control instruction based on the user feedback, and transmits it to the vehicle-mounted temperature sensing device for execution.

7. The device according to claim 6, characterized in that It also includes a self-learning module, which is used to record the scene information, placed object information and control mode set by the user in which the user disagrees with the recommended control mode when the user feedback disagrees with the recommended control mode; analyze the frequency of users disagreeing with the recommended control mode and setting the control mode by themselves in different scenarios through machine learning or statistical methods to obtain the user preference mode; when the same scene appears again, the corresponding user preference mode is determined as the new recommended control mode based on self-learning.

8. The device according to claim 6, characterized in that The identification module is specifically used for: Obtaining image information of the object placed in the vehicle-mounted temperature sensing device obtained by photographing the object, or image information of the object intercepted from a video stream obtained by photographing; The image of the placed object is understood and analyzed through a cloud-side big model or a terminal-side big model to generate a text result for describing the placed object, wherein the text result at least includes the type and specific specifications of the placed object.

9. A control device for a vehicle-mounted temperature sensing device, characterized in that: include: one or more processors; Memory; One or more applications, wherein the one or more applications are stored in the memory and configured to be executed by the one or more processors, and the one or more applications are configured to execute the control method of the vehicle-mounted temperature sensing device according to any one of claims 1 to 5.

10. A computer program product, characterized in that The method comprises computer instructions, wherein the computer instructions instruct a computer device to execute operations corresponding to the method according to any one of claims 1 to 5.

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