A control method, device and computer program product of a vehicle-mounted temperature sensing device

Abstract

The application discloses a control method and device of a vehicle-mounted temperature sensing device and a computer program product, wherein the method comprises the following steps: acquiring image information of an object placed in the vehicle-mounted temperature sensing device, and identifying object information; generating a recommended control mode of the vehicle-mounted temperature sensing device according to the object information and user schedule information; confirming the recommended control mode with the user, determining a final control instruction according to user feedback, and transmitting the final control instruction to the vehicle-mounted temperature sensing device for execution. With the aid of image acquisition and identification, user schedule integration and intelligent algorithms, the application realizes intelligent recommendation of a control mode of the vehicle-mounted temperature sensing device, simplifies an operation process, and enables a user to enjoy personalized temperature control without manual setting, thereby improving comfort and satisfaction.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of intelligent networked vehicles, and in particular to a control method and device for a vehicle-mounted temperature sensing device and a computer program product. BACKGROUND

[0002] With the vigorous development of generative large model technology, it has shown great application potential in the field of automobile intelligentization. The understanding and control ability of multi-modal large model technology provides solid technical support for the innovation of automobile human-computer interaction mode.

[0003] In the process of automobile intelligentization, how to effectively use artificial intelligence technology to deeply transform traditional automobile devices has become a key issue to be solved. Traditional automobile devices face many challenges in intelligent transformation. For example, the interaction mode of the vehicle-mounted temperature sensing device used by many host manufacturers is still relatively limited. The current operation mode mainly relies on touch interaction. When adjusting the temperature and selecting the mode, the user often needs to go through a cumbersome operation of multiple steps. More importantly, such devices lack visual perception and language understanding ability for the placed object, and cannot realize intelligent human-computer interaction function based on visual language fusion. This traditional interaction mode cannot meet the growing convenience and intelligentization needs of users, and is not compatible with the general trend of modern automobile intelligentization development. SUMMARY

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

[0005] To solve the above technical problems, the present application provides a control method for a vehicle-mounted temperature sensing device, comprising the following steps:

[0006] Obtain image information of a placed object placed in the vehicle-mounted temperature sensing device, and identify the placed object information;

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

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

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

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

[0011] According to the user itinerary information, a planned use time of the placed object is acquired;

[0012] According to a time difference between the current time and the planned use time and a preset time threshold, a recommended control mode corresponding to 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 recommended control mode is confirmed by the user interaction, the final control instruction is determined according to the user feedback, and the final control instruction is transmitted to the vehicle-mounted temperature sensing device for execution, specifically including:

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

[0015] When the user feedback does not agree with the recommended control mode, the control mode of the vehicle-mounted temperature sensing device manually set by the user is issued to the vehicle-mounted temperature sensing device in the form of a control instruction through the gateway for execution.

[0016] Preferably, when the user feedback does not agree with the recommended control mode, it further includes:

[0017] The scene information, placed object information and control mode set by the user when the user does not agree with the recommended control mode are recorded;

[0018] The frequency that the user does not agree with the recommended control mode and sets the control mode in different scenes is analyzed by a machine learning or statistical method to obtain a user preference mode;

[0019] When the same scene occurs again, the corresponding user preference mode is determined as a new recommended control mode according to self-learning.

[0020] Preferably, the placed object image information placed in the vehicle-mounted temperature sensing device is acquired, and the placed object information is identified, specifically including:

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

[0022] The placed object image is analyzed by a cloud large model or an end-side large model to generate a text result for describing the placed object, and the text result at least includes the type and specific specification of the placed object.

[0023] The application also provides a control device of a vehicle-mounted temperature sensing device, which is integrated in an information entertainment system and includes:

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

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

[0026] an executing module configured to confirm the recommended control mode with the user, determine a final control instruction according to user feedback, and transmit the final control instruction to the vehicle-mounted temperature sensing device for execution.

[0027] Preferably, the device further comprises a self-learning module configured to, when the user feedback disagrees with the recommended control mode, record scene information, placed object information, and a control mode set by the user when the user disagrees with the recommended control mode; analyze the frequency of the user disagreeing with the recommended control mode and setting the control mode in different scenes by machine learning or statistical methods to obtain a user preference mode; and when the same scene occurs again, determine the corresponding user preference mode as a new recommended control mode according to self-learning.

[0028] Preferably, the identifying module is specifically configured to:

[0029] obtain placed object image information obtained by photographing a placed object placed in the vehicle-mounted temperature sensing device, or placed object image information obtained by intercepting a video stream obtained by photographing.

[0030] understand and analyze the placed object image by using a cloud-side large model or an end-side large model to generate a text result for describing the placed object, the text result at least including a type and specific specifications of the placed object.

[0031] The application further provides a control device of a vehicle-mounted temperature sensing device, comprising:

[0032] one or more processors;

[0033] a memory;

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

[0035] The application further provides a computer program product comprising computer instructions instructing a computer device to execute operations corresponding to the method.

[0036] The present application has the following beneficial effects: the present application realizes intelligent recommendation of the control mode of the vehicle-mounted temperature sensing device by means of image acquisition and recognition, user schedule integration and intelligent algorithm, simplifies the operation process, and enables the user to enjoy personalized temperature control without manual setting, thereby improving comfort and satisfaction. The recommended control mode can optimize the operation of the vehicle-mounted temperature sensing device according to the requirements of the goods and the travel plan of the user, avoid energy waste, and improve energy utilization efficiency. The special temperature control goods are given suitable environmental protection, and the health life is promoted. And personalized service is provided through self-learning of user habits to enhance interactivity. Ultimately, it becomes a differentiated competitive advantage of vehicles, effectively attracts consumers, improves market competitiveness, and shows broad application prospects and important social value in many aspects. BRIEF DESCRIPTION OF DRAWINGS

[0037] In order to more clearly illustrate the technical solutions in the embodiments of the present application or the prior art, the following will briefly introduce the drawings needed to be used in the embodiments or prior art description. Obviously, the drawings in the following description are only some embodiments of the present application, and for those skilled in the art, other drawings can also be obtained without creative labor on the basis of these drawings.

[0038] Figure 1 is a flowchart of a control method of a vehicle-mounted temperature sensing device according to an embodiment of the present application.

[0039] Figure 2 is a schematic diagram of the implementation architecture of the control method of the vehicle-mounted temperature sensing device according to an embodiment of the present application.

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

[0041] The following description of the embodiments is with reference to the drawings, which are used to illustrate specific embodiments of the present application that can be implemented.

[0042] Please refer to Figure 1 The present application provides a control method of a vehicle-mounted temperature sensing device, which includes the following steps:

[0043] Obtain the image information of the placed goods in the vehicle-mounted temperature sensing device, and identify the placed goods information;

[0044] According to the placed goods information and the user schedule information, generate the recommended control mode of the vehicle-mounted temperature sensing device;

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

[0046] It can be known through the above steps that the embodiment of the application can accurately determine the characteristics of the placed object by identifying the image information of the vehicle-mounted temperature sensing device, realize intelligent identification, overcome the limitation that the traditional temperature sensing device can only be simply touched and interacted and cannot intelligently identify the placed object, and greatly expand the interaction mode. The recommended control mode is generated by combining the placed object information and the user schedule information, the operation of the temperature sensing device can be automatically planned according to the user's itinerary and the demand for the object, and the intelligent degree and user experience of the device are improved. Confirming the recommended control mode with the user and executing the instruction provides a convenient and personalized operation approach for the user, so that the user can easily participate in the control process, and the human-computer interaction experience is further optimized.

[0047] Specifically, please combine Figure 2 It shows the implementation architecture of the control method of the vehicle-mounted temperature sensing device. Wherein:

[0048] The vehicle-mounted temperature sensing device provides a device for the user to place the device to be refrigerated or heated, and is commonly known as a vehicle-mounted refrigerator. Meanwhile, the vehicle-mounted temperature sensing device in the embodiment of the application also has a camera, which can take pictures of the placed object placed in the vehicle-mounted temperature sensing device.

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

[0050] The infotainment system is an intelligent system that provides human-computer interaction for the user and the automobile, and includes a user schedule information subsystem, an intelligent voice interaction subsystem, a user scene recommender and the like.

[0051] The TBOX is used to provide communication and transmission between the automobile and the cloud server.

[0052] The cloud server stores a cloud-generated picture understanding large model, can understand the image information by using the generative large model, and generates a text result from the understanding result.

[0053] Please combine Figure 3 The specific process of the control method of the vehicle-mounted temperature sensing device is as follows:

[0054] First, the camera of the vehicle-mounted temperature sensing device takes a video of the object placed by the user into the vehicle-mounted temperature sensing device, and transmits the video stream to the infotainment system for caching through the gateway RTP protocol. It can be understood that the camera has the ability to accurately detect the existence of the placed object, and can trigger the shooting mechanism accordingly when the placed object is detected. In addition, the camera also has the ability to automatically adjust the light or automatically turn on the light supplement function in a low light environment, so as to ensure that high-quality videos can be taken under different lighting conditions, and to avoid poor video quality due to poor light, which affects the smooth progress of the whole control process.

[0055] After the infotainment system receives the video stream, it performs effective frame picture interception. There are two ways to identify the placement information from the intercepted picture. One is to upload the intercepted picture to the cloud server's generative picture understanding large model through the TBOX, and the generative picture understanding large model understands the uploaded picture content through the generative large model. The other is to identify it by the end-side large model on the vehicle side. The identification of what the placement is, the specific specifications (size, capacity), etc. information, and finally the understanding results are converted into text form. For example, the user places a bottle of breast milk in the vehicle-mounted temperature sensing device, and according to the intercepted picture, the final generated placement information in the form of text is a bottle of 180ml Beqin milk bottle filled with milk product. If the user places a can of cola, the same understanding is performed according to the intercepted picture, and the final generated placement information in the form of text is a can of aluminum can filled with zero-degree Coca-Cola.

[0056] It should be noted that in the embodiments of the present application, according to the smoothness and processing speed of the video stream, a suitable frame interception frequency is set to ensure that the intercepted picture can represent the main content of the video. The intercepted frame picture has sufficient resolution and clarity to facilitate accurate identification by the large model.

[0057] The infotainment system has the ability to obtain user schedule information, records the user's manually input schedule information, or receives the schedule information synchronized from the user's mobile phone and other related smart devices, to form a complete user schedule information. At the same time, the accuracy and completeness of the synchronized or input schedule information need to be verified. In addition, during the entire process of processing user schedule information, relevant privacy protection policies and regulations should be strictly followed, and the privacy rights and interests of users should be fully protected to avoid privacy leakage and other problems in the collection and use of schedule information. As an example, the user's itinerary information can include the current time, the user's planned use of the placement, the route, etc.

[0058] After that, the infotainment system generates a recommended result of the control mode of the placement according to the identification result of the placement from the cloud server or the end-side large model, and the above-mentioned user itinerary information.

[0059] Specifically, the infotainment system first utilizes the cloud large model or the end-side large model to recognize and understand the results of the placed object, such as the type, capacity, and the like of the placed object, and simultaneously combines user travel information, such as the current time and the planned use time of the placed object (such as breast milk), to generate a recommended control mode of the vehicle-mounted temperature sensing device by using a preset rule or algorithm. For example, the recognition result of the placed object fed back from the cloud server is a bottle of 180ml breast milk, and the obtained user travel information includes the current time and the user's planned feeding time; and the recommended control mode of the vehicle-mounted temperature sensing device generated based on the foregoing information is: X minutes before the planned feeding time, the vehicle-mounted temperature sensing device is set to a refrigeration mode, and the temperature is adjusted to a constant temperature of 2 degrees Celsius; and Y minutes before the planned feeding time, the vehicle-mounted temperature sensing device is set to a heating mode, and the temperature is adjusted to 40 degrees Celsius. As can be seen, in the foregoing example, the time difference between the feeding plan time and the current time is used to automatically adjust the working mode and the temperature setting of the vehicle-mounted temperature sensing device at a specific time node, so as to ensure that the breast milk is stored at a suitable temperature and can be timely adjusted to a suitable feeding temperature when needed, thereby realizing intelligent temperature control planning.

[0060] Therefore, when the embodiment of the present application generates the recommended control mode, the suitable temperature control mode type (such as refrigeration, heating, and the like) and the temperature range of the placed object are determined according to the placed object information; and the specific control mode (such as the control mode switching time point and the temperature adjustment value) of the vehicle-mounted temperature sensing device corresponding to different time stages is determined according to the time difference between the current time and the planned use time and the preset time threshold, so as to generate the recommended control mode.

[0061] The following will be exemplarily described by taking that a coke is placed in the vehicle-mounted temperature sensing device as an example to generate a recommended control mode:

[0062] Key time points in the user travel information are collected: it is assumed that the current time of the user is 3 pm obtained by the infotainment system, and the user plans to drink coke at 5 pm according to the user schedule information.

[0063] The suitable temperature sensing control mode type and the temperature range of the placed object are determined according to the placed object information: coke is usually suitable for refrigeration storage, and the temperature range can be set to 2-6 degrees Celsius.

[0064] The specific control mode of the temperature sensing device corresponding to different time stages is determined according to the time difference between the current time and the planned use time and the preset time threshold: from 3 pm to 4:30 pm, the vehicle-mounted temperature sensing device is set to a refrigeration mode, and the temperature is adjusted to a constant temperature of 4 degrees Celsius, so as to maintain the cool taste of the coke. When 4:30 pm is reached (that is, 30 minutes away from the planned drinking time), the vehicle-mounted temperature sensing device can be adjusted appropriately, such as to 6 degrees Celsius, so that the coke will not affect the taste due to too low temperature when the user drinks.

[0065] After generating the recommended control mode, the intelligent voice interaction subsystem in the infotainment system asks the user whether to agree to set the vehicle-mounted temperature sensing device according to the recommended control mode. If the user agrees, the infotainment system will issue the control instruction to be executed by the vehicle-mounted temperature sensing device to the vehicle-mounted temperature sensing device through the gateway. If the user disagrees, the user can manually set the control mode of the vehicle-mounted temperature sensing device and issue it to the vehicle-mounted temperature sensing device through the gateway for execution.

[0066] After receiving the control instruction transmitted through the gateway, the vehicle-mounted temperature sensing device executes according to the control instruction. After execution, the execution status or result is returned to the infotainment system for monitoring and recording by the infotainment system.

[0067] For each rejection of the recommended control mode by the user, the user's behavior data is recorded. The recorded user behavior data is deeply mined and analyzed by means of machine learning or statistical methods. For example, the frequency of the user's rejection of the recommended control mode and the specific setting content in different scenarios are counted, and multi-dimensional data such as the user's unique preference mode and habit law are identified, such as the user's tendency to set a specific temperature or mode at a specific time for a specific placed object.

[0068] Finally, the personalized recommendation strategy is dynamically adjusted based on the analysis result of the learning algorithm. When it is found that the user has a consistent autonomous setting behavior in a specific scenario, it is determined as an identifiable preference mode. Thereafter, when the same scenario is encountered again, the user will be recommended according to the personalized control mode determined by self-learning, so that the recommended content is more in line with the actual needs of the user, effectively improving the accuracy of personalized recommendation, and thus improving the user's satisfaction with the entire vehicle-mounted temperature sensing device control system, enhancing the interaction fit and friendliness between the user and the system, and promoting the development of the vehicle-mounted temperature sensing device in the aspect of intelligent interaction experience to a higher level.

[0069] Corresponding to the control method of the vehicle-mounted temperature sensing device described in Embodiment One of the present application, Embodiment Two of the present application further provides a control device for a vehicle-mounted temperature sensing device, integrated in an infotainment system, comprising:

[0070] An identification module for acquiring image information of a placed object placed in the vehicle-mounted temperature sensing device and identifying placed object information;

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

[0072] An execution module for confirming the recommended control mode with the user, determining the final control instruction according to the user feedback, and transmitting it to the vehicle-mounted temperature sensing device for execution.

[0073] Preferably, the device further comprises a self-learning module for recording scene information, placed object information and a control mode set by the user when the user feedback disagrees with the recommended control mode; obtaining a user preference mode by analyzing the frequency of the user disagreeing with the recommended control mode and setting the control mode by himself / herself in different scenes through machine learning or statistical methods; and determining the corresponding user preference mode as a new recommended control mode according to self-learning when the same scene occurs again.

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

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

[0076] understanding and analyzing the placed object image through a cloud-side large model or an end-side large model to generate a text result for describing the placed object, the text result at least including a type and specific specifications of the placed object.

[0077] Corresponding to the control method of the vehicle-mounted temperature sensing device described in Embodiment One of the present application, Embodiment Three of the present application further provides a control device of a vehicle-mounted temperature sensing device, comprising:

[0078] one or more processors;

[0079] a memory;

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

[0081] Corresponding to the control method of the vehicle-mounted temperature sensing device described in Embodiment One of the present application, Embodiment Four of the present application further provides a computer program product comprising computer instructions, which instruct a computer device to execute the operations corresponding to the control method of the vehicle-mounted temperature sensing device described in Embodiment One of the present application.

[0082] Preferably, the processor can be a central processing unit (CPU), and can also be 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 can be a microprocessor, or the processor can also be any conventional processor. The processor is the control center of the device, and connects various parts of the device through various interfaces and lines.

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

[0084] It should be noted that the above device can include but is not limited to the processor and the memory, and those skilled in the art can understand.

[0085] For the working principle and process of the above embodiment, refer to the foregoing description of the first embodiment of the application, which will not be repeated here.

[0086] From the above description, it can be seen that, compared with the prior art, the beneficial effects of the present application are that the present application realizes intelligent recommendation of the control mode of the vehicle-mounted temperature sensing device by means of image acquisition and recognition, user schedule integration and intelligent algorithm, simplifies the operation process, and users can enjoy personalized temperature control without manual setting, thereby improving comfort and satisfaction. The recommended control mode can optimize the operation of the vehicle-mounted temperature sensing device according to the needs of the goods and the travel plan of the user, thereby avoiding energy waste and improving energy utilization efficiency. Special temperature control goods are given suitable environmental protection, thereby promoting a healthy lifestyle. And personalized services are provided through self-learning of user habits, thereby enhancing interactivity. Ultimately, it becomes a differentiated competitive advantage of vehicles, effectively attracts consumers, improves market competitiveness, and exhibits broad application prospects and important social value in many aspects.

[0087] The above merely provides the preferred embodiment of the application, and cannot allude the protection scope of the application, therefore any equivalent changes made according to the claims of the application shall be within the scope of the application.

Claims

1. A control method of a vehicle-mounted thermal sensing device, characterized by, The method comprises the following steps: Obtain image information of an object placed in a vehicle-mounted temperature sensing device, and identify object information; Generate a recommended control mode for the vehicle-mounted temperature sensing device according to the object information and user schedule information; Confirm the recommended control mode with the user, determine a final control instruction according to user feedback, and transmit the final control instruction to the vehicle-mounted temperature sensing device for execution; The recommended control mode is generated according to the object information and user schedule information, specifically including: Determine the temperature sensing control mode type and temperature range of the object according to the object information; Obtain the planned use time of the object according to user itinerary information; Determine the recommended control mode corresponding to different time stages according to the time difference between the current time and the planned use time and a preset time threshold, wherein the recommended control mode at least includes a control mode switching time point and a temperature adjustment value.

2. The method of claim 1, wherein, The recommended control mode is confirmed with the user, and the final control instruction is determined according to user feedback, and is transmitted to the vehicle-mounted temperature sensing device for execution, specifically including: When the user feedback agrees with the recommended control mode, the control instruction required by the vehicle-mounted temperature sensing device is transmitted to the vehicle-mounted temperature sensing device for execution through a gateway; When the user feedback does not agree with the recommended control mode, the control mode of the vehicle-mounted temperature sensing device set by the user is transmitted to the vehicle-mounted temperature sensing device for execution in the form of a control instruction.

3. The method of claim 2, wherein, When the user feedback does not agree with the recommended control mode, it also includes: Record the scene information, object information and control mode set by the user when the user does not agree with the recommended control mode; Obtain the user preference mode by analyzing the frequency of the user disagreeing with the recommended control mode and setting the control mode in different scenes through machine learning or statistical methods; When the same scene occurs again, the corresponding user preference mode is determined as a new recommended control mode according to self-learning.

4. The method of claim 1, wherein, The image information of the object placed in the vehicle-mounted temperature sensing device is obtained, and the object information is identified, specifically including: Obtain the object image information obtained by photographing the object placed in the vehicle-mounted temperature sensing device, or the object image information extracted from the video stream obtained by photographing; Understand and analyze the object image through a cloud large model or an end-side large model to generate a text result for describing the object, wherein the text result at least includes the type and specific specifications of the object.

5. A control device for a vehicle-mounted temperature sensing device, integrated in an infotainment system, characterized in that It comprises: An identification module for obtaining image information of an object placed in a vehicle-mounted temperature sensing device, and identifying object information; A generation module for generating a recommended control mode for the vehicle-mounted temperature sensing device according to the object information and user schedule information; An execution module for confirming the recommended control mode with the user, determining a final control instruction according to user feedback, and transmitting the final control instruction to the vehicle-mounted temperature sensing device for execution; The generation module is specifically configured to: determine a temperature sensing control mode type and a temperature range of the placed object according to the placed object information; obtain a planned use time of the placed object according to user travel information; and determine a recommended control mode corresponding to different time stages according to a time difference between a current time and the planned use time and a preset time threshold, the recommended control mode at least including a control mode switching time point and a temperature adjustment value.

6. The apparatus of claim 5, wherein, The self-learning module is further included and is configured to: record scene information, placed object information and a control mode set by the user when the user feedback disagrees with the recommended control mode; analyze a frequency of the user disagreeing with the recommended control mode and setting the control mode in different scenes by machine learning or statistical methods to obtain a user preference mode; and determine the corresponding user preference mode as a new recommended control mode according to self-learning when the same scene occurs again.

7. The apparatus of claim 5, wherein, The recognition module is specifically configured to: obtain placed object image information obtained by photographing a placed object placed in the vehicle-mounted temperature sensing device, or placed object image information extracted from a video stream obtained by photographing; understand and analyze the placed object image by a cloud-side large model or an end-side large model to generate a text result for describing the placed object, the text result at least including a type and specific specifications of the placed object.

8. A control device for a vehicle-mounted temperature sensing device, characterized by comprising: The vehicle-mounted temperature sensing device includes: one or more processors; a memory; one or more application programs, wherein the one or more application programs are stored in the memory and configured to be executed by the one or more processors, and the one or more application programs are configured to execute the control method of the vehicle-mounted temperature sensing device according to any one of claims 1-4.

9. A computer program product, characterised in that, The computer instructions instruct a computer device to perform operations corresponding to the method according to any one of claims 1-4.

Images