Control method and system of vehicle air conditioner and vehicle

Abstract

The application discloses a control method and system of a vehicle-mounted air conditioner and a vehicle, and belongs to the technical field of vehicle-mounted air conditioners. The control method comprises the following steps: collecting facial information of a driver and a passenger according to a preset collection period; generating a facial following instruction based on the facial information; controlling the vehicle-mounted air conditioner to operate according to a following parameter according to the facial following instruction; wherein the following parameter is used to adjust the air outlet direction of the vehicle-mounted air conditioner to point to the face of the driver and the passenger; in response to a target scene control instruction, determining an optimization parameter based on the following parameter and a control parameter corresponding to the target scene control instruction; wherein the target scene control instruction comprises a manual intervention instruction or an automatic triggering instruction; and controlling the vehicle-mounted air conditioner to operate according to the optimization parameter. The application realizes that the air outlet direction of the vehicle-mounted air conditioner dynamically follows the face of the driver and the passenger, and can control the vehicle-mounted air conditioner according to the current scene to meet the control requirements of the driver and the passenger on the vehicle-mounted air conditioner.

Description

TECHNICAL FIELD

[0001] The application belongs to the technical field of vehicle air conditioners, and particularly relates to a control method and system of a vehicle air conditioner and a vehicle. BACKGROUND

[0002] Most of the vehicles on the market are equipped with air conditioning facilities, which bring comfortable riding experience to the drivers and passengers. However, when using the vehicle air conditioner, the air outlet direction of the vehicle air conditioner often needs to be manually adjusted by the drivers and passengers by adjusting the angle of the grille blade, or is limited to a single automatic air sweeping function, and the experience of the drivers and passengers is not really improved. In addition, the vehicle air conditioner cannot intelligently adjust its own operating state according to the current scene, and it is difficult to respond to the frequent changes in the air outlet demand of the drivers and passengers in time. Therefore, the control process of the vehicle air conditioner has the problems of low intelligence and poor flexibility. SUMMARY

[0003] The purpose of the embodiments of the application is to provide a control method and system of a vehicle air conditioner and a vehicle, which can realize that the air outlet direction of the vehicle air conditioner dynamically follows the face of the driver and passenger, and can control the vehicle air conditioner according to the current scene to meet the control demand of the driver and passenger on the vehicle air conditioner, thereby solving the problems of low intelligence and poor flexibility in the control process of the vehicle air conditioner.

[0004] In order to solve the above technical problems, the application is implemented as follows:

[0005] In a first aspect, the embodiments of the application provide a control method of a vehicle air conditioner, which comprises the following steps:

[0006] According to a preset collection period, the face information of the driver and passenger is collected;

[0007] Based on the face information, a face following instruction is generated;

[0008] According to the face following instruction, the vehicle air conditioner is controlled to operate with a following parameter; wherein the following parameter is used to adjust the air outlet direction of the vehicle air conditioner to point to the face of the driver and passenger;

[0009] In response to a target scene control instruction, an optimization parameter is determined based on the following parameter and a control parameter corresponding to the target scene control instruction; wherein the target scene control instruction includes a human intervention instruction or an automatic trigger instruction;

[0010] The vehicle air conditioner is controlled to operate with the optimization parameter.

[0011] Optionally, the face information comprises a plurality of feature points and a position of each feature point, and each feature point corresponds to a sub-region; wherein the sub-region is a region pre-divided according to a face activity range of the driver or the passenger; based on the face information, the step of generating the face-following instruction specifically comprises: obtaining a current position of a target feature point in a current collection period, wherein the target feature point is any feature point in the plurality of feature points; determining whether the current position belongs to a position range corresponding to a sub-region to which the target feature point belongs in a previous collection period; and if not, generating the face-following instruction according to the current position.

[0012] Optionally, the response priority of the human intervention instruction is higher than that of the automatic trigger instruction; and before the step of determining the optimization parameter based on the following parameter and the control parameter corresponding to the target scene control instruction, specifically comprises: based on the number of target scene control instructions being greater than 1, taking the human intervention instruction as the target scene control instruction.

[0013] Optionally, the step of determining the optimization parameter based on the following parameter and the control parameter corresponding to the target scene control instruction, specifically comprises: in response to the target scene control instruction, determining whether the control parameter corresponding to the target scene control instruction contains a parameter category to which the following parameter belongs; if yes, determining the control parameter as the optimization parameter; and if not, determining the following parameter and the control parameter as the optimization parameter.

[0014] Optionally, the automatic trigger instruction comprises an anti-fatigue instruction; and the control method further comprises: analyzing the face information and generating a fatigue analysis result; and if the fatigue analysis result meets a preset fatigue determination standard, generating the anti-fatigue instruction.

[0015] Optionally, the control parameter corresponding to the anti-fatigue instruction comprises: a temperature of the vehicle-mounted air conditioner being a minimum value of a preset comfortable temperature range, and an air volume gear of the vehicle-mounted air conditioner being a highest air outlet gear.

[0016] Optionally, the automatic trigger instruction further comprises an energy-saving instruction; and the control method further comprises: after a plurality of preset collection periods, if no face information is collected, generating the energy-saving instruction.

[0017] Optionally, the control parameter corresponding to the energy-saving instruction comprises: a power state of the vehicle-mounted air conditioner being off or a mode of the vehicle-mounted air conditioner being an energy-saving mode.

[0018] In a second aspect, the embodiments of the present application provide a control system of a vehicle-mounted air conditioner, which performs air outlet control on the vehicle-mounted air conditioner according to the control method of the vehicle-mounted air conditioner as in the first aspect, comprising:

[0019] an information collection module, configured to collect face information of a driver or a passenger according to a preset collection period;

[0020] The instruction generation module is configured to generate a face-following instruction based on the face information.

[0021] The first control module is configured to control the vehicle-mounted air conditioner to operate according to the face-following instruction, wherein the face-following instruction is used to adjust the air outlet direction of the vehicle-mounted air conditioner to point to the face of the driver or passenger.

[0022] The instruction response module is configured to determine an optimization parameter based on the face-following parameter and a control parameter corresponding to a target scene control instruction in response to the target scene control instruction, wherein the target scene control instruction includes a manual intervention instruction or an automatic trigger instruction.

[0023] The second control module is configured to control the vehicle-mounted air conditioner to operate according to the optimization parameter.

[0024] In a third aspect, an embodiment of the present application provides a vehicle, which comprises a processor, a memory, and a program or instruction stored in the memory and executable on the processor, and the program or instruction is executed by the processor to implement the control method of the vehicle-mounted air conditioner according to the first aspect.

[0025] In a fourth aspect, an embodiment of the present application provides a chip, which comprises a processor and a communication interface, the communication interface is coupled to the processor, and the processor is configured to run a program or instruction to implement the control method of the vehicle-mounted air conditioner according to the first aspect.

[0026] In the embodiments of the present application, the control method of the vehicle-mounted air conditioner provided by the present application associates the face information of the driver or passenger with the air outlet direction of the vehicle-mounted air conditioner, so that the air outlet direction of the vehicle-mounted air conditioner no longer needs to be manually adjusted by the driver or passenger. When the face of the driver or passenger moves, the air outlet direction of the vehicle-mounted air conditioner can always point to the face of the driver or passenger, so as to realize dynamic following of the air outlet direction of the vehicle-mounted air conditioner to the face of the driver or passenger, and improve the intelligent degree of the control process of the vehicle-mounted air conditioner. Meanwhile, the target scene control instruction is introduced based on the face-following instruction, so that the vehicle-mounted air conditioner can adjust its operating state according to the current scene to meet the control demand of the driver or passenger on the vehicle-mounted air conditioner, and improve the flexibility performance of the control process of the vehicle-mounted air conditioner. BRIEF DESCRIPTION OF DRAWINGS

[0027] Figure 1 FIG. 1 is a flowchart of a control method of a vehicle-mounted air conditioner according to some embodiments of the present application.

[0028] Figure 2 FIG. 2 is a logic diagram of a control method of a vehicle-mounted air conditioner according to some embodiments of the present application.

[0029] Figure 3 FIG. 3 is a face recognition diagram of a driver or passenger according to some embodiments of the present application.

[0030] Figure 4is a schematic block diagram of a vehicle air conditioner control system structure provided by some embodiments of the present application.

[0031] Figure 5 is a schematic block diagram of a vehicle structure provided by some embodiments of the present application. DETAILED DESCRIPTION

[0032] The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application. Obviously, the described embodiments are some but not all of the embodiments of the present application. Based on the embodiments in the present application, all other embodiments obtained by a person of ordinary skill in the art without creative work fall within the protection scope of the present application.

[0033] The terms "first", "second", and the like in the specification and claims of the present application are used to distinguish similar objects, and are not used to describe a specific order or sequence. It should be understood that the data used in this way can be interchanged under appropriate circumstances, so that the embodiments of the present application can be implemented in an order other than those illustrated or described herein. In addition, "and / or" in the specification and claims indicates at least one of the connected objects, and the character " / ", generally indicates that the front and rear associated objects are in an "or" relationship.

[0034] The control method of the vehicle air conditioner provided by the embodiments of the present application will be described in detail below with reference to the drawings, specific embodiments and application scenarios.

[0035] As shown in Figure 1 , some embodiments of the control method of the vehicle air conditioner provided by the embodiments of the present application have a flowchart, and the control method can include:

[0036] In some embodiments of the present application, S101: collecting the face information of the driver and passenger according to a preset collection period; S102: generating a face following instruction based on the face information; S103: controlling the vehicle air conditioner to operate according to the face following instruction; wherein the following parameter is used to adjust the air outlet direction of the vehicle air conditioner to point to the face of the driver and passenger; S104: in response to a target scene control instruction, determining an optimization parameter based on the following parameter and the control parameter corresponding to the target scene control instruction; wherein the target scene control instruction includes a manual intervention instruction or an automatic trigger instruction; S105: controlling the vehicle air conditioner to operate with the optimization parameter.

[0037] In this embodiment, S101: collecting the face information of the driver and passenger according to a preset collection period. As shown in Figure 3The face recognition of the passenger is shown. The preset collection period is 5 seconds. When the vehicle air conditioner is turned on, the face recognition device continuously collects the face information of the passenger through the camera 301, and the collection range is the area 302. The camera is arranged at a position in the vehicle where the face features of the passenger can be accurately recognized, such as the A-pillar, above the steering wheel, or in front of the instrument panel. Through the preset collection period, the collection of the face information of the passenger can be ensured to be timed and continuous, and the randomness and uncertainty of information collection are avoided.

[0038] In this embodiment, S102: generating a face following instruction based on the face information. The face recognition device sends the continuously collected face information of the passenger to the air conditioner controller. The air conditioner controller can analyze and calculate the control parameters required for the action of directing the air outlet direction of the vehicle air conditioner to the face of the passenger according to the preset control strategy (such as PID control algorithm, fuzzy control algorithm, etc.), and generate a face following instruction. The face following instruction includes the specific value of the wind direction control parameter, the action mode of the execution mechanism (such as starting, stopping, adjusting, etc.), and the time sequence of execution, etc.

[0039] In this embodiment, S103: controlling the vehicle air conditioner to run according to the face following instruction; wherein the following parameter is used to adjust the air outlet direction of the vehicle air conditioner to the face of the passenger. It can be understood that the air conditioner controller sends the face following instruction to the motor adjusting device of the grille blade, and the motor adjusting device adjusts the deflection angle of the grille blade according to the following parameter in the face following instruction, so as to adjust the direction of the grille jet flow and lock the air direction range of the vehicle air conditioner in the face range of the passenger, that is, to realize the air outlet direction of the vehicle air conditioner to the face of the passenger. By adjusting the grille jet flow angle, the path and diffusion range of the airflow can be changed to achieve more uniform and comfortable air supply effect.

[0040] In this embodiment, S104: In response to the target scene control command, the optimized parameters are determined based on the following parameters and the control parameters corresponding to the target scene control command; wherein, the target scene control command includes a human intervention command or an automatic trigger command. When the in-vehicle environment or the condition of the occupants changes, the air conditioning controller can combine the control parameters of the target scene control command corresponding to the preset scene with the following parameters, and can further control the vehicle air conditioning based on facial following. It should be noted that in this embodiment, the air conditioning controller can receive facial information collected from a facial recognition device or information obtained from other devices that can reflect the in-vehicle environment or the condition of the occupants. Based on the following parameters and control parameters, the control parameters that can meet the operating status of the vehicle air conditioning required by the occupants in the current scene are determined, that is, the optimized parameters are determined. When the occupants send a request command to the air conditioning controller through the user interface or communication device, it is a human intervention command. When the current scene meets the preset scene, the control command corresponding to the preset scene requirement is automatically generated, that is, the automatic trigger command.

[0041] In this embodiment, S105: Control the vehicle air conditioner to operate with the optimized parameters. It is understood that these parameters can optimize the operation of the vehicle air conditioner, automatically adjusting its operating parameters according to current scenario requirements and the real-time needs of the driver and passengers to achieve optimal comfort and energy efficiency.

[0042] like Figure 2 The diagram shows a logical schematic of some embodiments of the vehicle air conditioning control method provided in this application. The control method may further include:

[0043] In some embodiments of this application, S210: the vehicle air conditioner is turned on; S220: a facial following command is generated; S230: the vehicle air conditioner operates with following parameters; S240: it is determined whether the position range of the target feature point has changed; S250: it is determined whether the number of target scene control commands is greater than 1; S260: a human intervention command is used as a target scene control command; S270: it is determined whether the control parameters include the parameter category; S281: the control parameters are used as optimization parameters; S282: the following parameters and control parameters are used as optimization parameters; S290: the vehicle air conditioner operates with optimization parameters.

[0044] In this embodiment, S220: generate face following instructions; S230: the vehicle-mounted air conditioner runs with the following parameters. The face information includes a plurality of feature points and the position of each feature point, and each feature point corresponds to a sub-region; wherein the sub-region is a region pre-divided according to the face activity range of the driver or passenger; based on the face information, step S220: generate face following instructions, specifically including: obtaining the current position of the target feature point in the current collection period, wherein the target feature point is any feature point in the plurality of feature points; judging whether the current position belongs to the position range corresponding to the sub-region to which the target feature point belongs in the last collection period; that is, step S240 is executed to judge whether the target feature point position range changes, if so, return to step S220 to regenerate the face following instructions, and the vehicle-mounted air conditioner runs with the updated following parameters.

[0045] In this embodiment, in order to avoid the angle adjustment of the grille blade being too frequent due to the small amplitude movement of the face of the driver or passenger, a plurality of sub-regions can be roughly divided according to the face activity area of the driver or passenger as needed. When the position range corresponding to the sub-region to which the feature point belongs changes compared with the position range corresponding to the sub-region to which the target feature point belongs in the last collection period, that is, when the face feature point of the driver or passenger crosses the boundary of the sub-region, the face recognition device will send this information to the air conditioner controller at this time, and the air conditioner controller updates the face following instructions according to the current target feature point position, so as to ensure that the air outlet direction of the vehicle-mounted air conditioner can respond to the movement of the face of the driver or passenger in time. By setting a reasonable threshold, the invalid action of the grille blade is reduced, and when the face of the driver or passenger moves in a small range within the activity area, the airflow will not fluctuate frequently, thereby improving the comfort of the vehicle-mounted air conditioner.

[0046] In this embodiment, it can be understood that when the vehicle-mounted air conditioner is turned on, the face information of the driver or passenger is continuously collected by the face recognition device, the face feature points of the driver or passenger are analyzed according to the image information of the face of the driver or passenger collected by the camera in the vehicle every 5 seconds; the position of the face feature points of the driver or passenger is located by using a face detection algorithm (such as HOG, deep learning algorithm, etc.); and the specific position of the face of the driver or passenger is locked according to the face detection result. Subsequently, the detected face of the driver or passenger is continuously tracked using a face tracking algorithm (such as Kalman filtering, particle filtering, etc.). These algorithms can predict and update the position of the face feature points of the driver or passenger in each frame of image, so as to obtain the position moving track thereof. Or the position of the face feature points obtained by the face tracking algorithm is further processed to extract the moving track of the face feature points. This process includes calculating the coordinates, speed, direction and other parameters of the face feature points of the driver or passenger in each frame of image. These parameters can be used to track and locate the face position of the driver or passenger.

[0047] In this embodiment, S250: determine whether the number of target scene control instructions is greater than 1. The response priority of the human intervention instruction is higher than that of the automatic trigger instruction; before the step of determining the optimization parameter based on the following parameter and the control parameter corresponding to the target scene control instruction in response to the target scene control instruction, specifically comprising: based on the number of target scene control instructions being greater than 1, that is, when the number of target scene control instructions is greater than 1, executing step S260, taking the human intervention instruction as the target scene control instruction.

[0048] In this embodiment, it is ensured that the priority of the human intervention instruction is the highest, and when the human intervention instruction and the automatic trigger instruction exist at the same time, the human intervention instruction is selected to be executed preferentially. On the basis of automatic control of the vehicle-mounted air conditioner, the selection right and control flexibility of the driver and the passenger are increased, and it is ensured that the individual needs of the driver and the passenger can be preferentially realized, and the experience of the driver and the passenger is guaranteed.

[0049] In this embodiment, S270: determine whether the control parameter contains the parameter category. Specifically comprising: in response to the target scene control instruction, determining whether the control parameter corresponding to the target scene control instruction contains the parameter category to which the following parameter belongs; if yes, executing step S281, determining the control parameter as the optimization parameter; if not, executing step S282, determining the following parameter and the control parameter as the optimization parameter.

[0050] In this embodiment, when the control parameter category in the target scene control instruction does not contain the wind direction parameter category to which the following parameter of the face following instruction belongs, the target scene control instruction can further control the vehicle-mounted air conditioner on the basis of the vehicle-mounted air conditioner blowing direction dynamically following the face of the driver and the passenger, that is, the following parameter and the control parameter are determined as the optimization parameter. When the control parameter category in the target scene control instruction contains the wind direction parameter category to which the following parameter of the face following instruction belongs, the following parameter in the face following instruction is replaced by the wind direction parameter in the target scene control instruction to avoid causing instruction conflict, and the control parameter in the target scene control instruction is taken as the optimization parameter.

[0051] In this embodiment, the control parameter in the target scene control instruction includes the wind direction parameter in the following scenarios. For example, when the air conditioning controller receives information that both the driver and the front passenger positions are occupied, the control parameter corresponding to the target scene control instruction includes a mode switching parameter, which switches the mode of the vehicle air conditioner to the air sweeping mode. In this mode, the control parameters of the vehicle air conditioner are default, including the wind direction and wind speed parameters, etc. Six air sweeping modes can be combined according to the default configuration of the vehicle air conditioner, including three air sweeping speeds and two wind direction dwell times. When the air conditioning controller receives information that there is an old person or a child in the vehicle or the facial temperature of the driver or passenger reaches the sweating state, the control parameter corresponding to the target scene control instruction includes the wind direction parameter, and the motor adjusting device drives the grid blade to operate, so that the air outlet direction of the vehicle air conditioner avoids the face of the corresponding driver or passenger.

[0052] In some embodiments of the present application, the automatic trigger instruction includes an anti-fatigue instruction; facial information is analyzed, and a fatigue analysis result is generated; if the fatigue analysis result meets a preset fatigue determination standard, the anti-fatigue instruction is generated.

[0053] In this embodiment, the driver fatigue detection system (Driver Monitor System) can be used for monitoring. The camera can be arranged at the A-pillar, above the steering wheel or in front of the instrument panel, etc. to collect the facial information of the driver and detect the fatigue state of the driver, and then generate a fatigue analysis result. The recognition of the fatigue state includes but is not limited to the following situations: the driver's eyes are dull, the facial expression is stiff, the driver frequently yawns, the driver's movements are slow, etc.

[0054] In some embodiments of the present application, the control parameter corresponding to the anti-fatigue instruction includes: the temperature of the vehicle air conditioner is the lowest value in the preset comfortable temperature range, and the air volume gear of the vehicle air conditioner is the highest air outlet gear.

[0055] In this embodiment, the temperature of the vehicle air conditioner can be reduced from 26°C to 20°C, and the air volume can be adjusted from 1 gear to 5 gears, thereby effectively reducing the feeling of fatigue. The comfortable temperature range of the vehicle air conditioner is usually a standard interval determined by the manufacturer according to ergonomics research or an interval determined according to the comfort of the driver.

[0056] In some embodiments of the present application, the automatic trigger instruction further includes an energy saving instruction; after a plurality of preset collection periods, if no facial information is collected, the energy saving instruction is generated.

[0057] In this embodiment, when the face recognition device continuously collects face information for three times (i.e. after three collection periods), if the face features of the original passengers in the vehicle are not successfully recognized or no passengers are recognized in the vehicle during the three collection periods, the device determines that the number of passengers in the vehicle has changed, and there may be a situation that some passengers get off the vehicle or there is no passenger in the vehicle.

[0058] In some embodiments of the present application, the control parameter corresponding to the energy saving instruction includes that the power state of the vehicle-mounted air conditioner is off or the mode of the vehicle-mounted air conditioner is an energy saving mode.

[0059] In this embodiment, the control parameter corresponding to the energy saving instruction includes but is not limited to the following two cases: when the air conditioner controller receives the information that there is no passenger in the vehicle, the power of the vehicle-mounted air conditioner is automatically turned off, and the operation of the vehicle-mounted air conditioner is stopped. This operation will ensure that the power is automatically cut off without using the vehicle-mounted air conditioner, so as to achieve the purpose of energy saving. When the air conditioner controller receives the information that some passengers get off the vehicle, the vehicle-mounted air conditioner will be controlled to enter the energy saving mode. In this mode, the vehicle-mounted air conditioner will take a series of energy saving measures, such as reducing the refrigeration or heating power, reducing the air speed, optimizing the air supply mode, etc., to reduce energy consumption.

[0060] It should be noted that the control method of the vehicle-mounted air conditioner provided in the embodiments of the present application can be executed by the control system of the vehicle-mounted air conditioner, or a control module in the control system for executing the control method of the vehicle-mounted air conditioner. In the embodiments of the present application, the control system of the vehicle-mounted air conditioner is taken as an example to execute the control method of the vehicle-mounted air conditioner, and the control method of the vehicle-mounted air conditioner provided in the embodiments of the present application is described.

[0061] As shown in FIG. 4, Figure 4 The control system of the vehicle-mounted air conditioner provided in the embodiments of the present application includes an information collection module 401, which is configured to collect the face information of the driver and passengers according to a preset collection period; an instruction generation module 402, which is configured to generate a face following instruction based on the face information; a first control module 403, which is configured to control the vehicle-mounted air conditioner to operate according to the face following instruction; wherein the following parameter is used to adjust the air outlet direction of the vehicle-mounted air conditioner to point to the face of the driver and passengers; an instruction response module 404, which is configured to determine an optimization parameter based on the following parameter and the control parameter corresponding to the target scene control instruction in response to the target scene control instruction; wherein the target scene control instruction includes a manual intervention instruction or an automatic trigger instruction; and a second control module 405, which is configured to control the vehicle-mounted air conditioner to operate according to the optimization parameter.

[0062] The control system of the vehicle air conditioner in the embodiments of the present application can be a device, or a component, an integrated circuit, or a chip in a terminal. The device can be a mobile electronic device or a non-mobile electronic device. Exemplarily, the mobile electronic device can be a mobile phone, a tablet computer, a notebook computer, a palm computer, a vehicle electronic device, a wearable device, an ultra-mobile personal computer (UMPC), a netbook, or a personal digital assistant (PDA), etc., and the non-mobile electronic device can be a server, a Network Attached Storage (NAS), or a personal computer (PC), etc., which are not limited in the embodiments of the present application.

[0063] The control system of the vehicle air conditioner provided in the embodiments of the present application can achieve Figure 1 and Figure 2 The control system of the vehicle air conditioner realized in the method embodiments is not repeated here.

[0064] Optionally, as shown in Figure 5 the embodiments of the present application also provide a vehicle, which includes a processor 501, a memory 502, and a program or instruction stored in the memory and executable on the processor. The program or instruction is executed by the processor to realize each process of the control method of the vehicle air conditioner and achieve the same technical effects. Each process of the control method of the vehicle air conditioner is not repeated here.

[0065] The embodiments of the present application also provide a vehicle, which includes an air conditioner controller. The air conditioner controller can receive information provided by a face recognition device, send an instruction to a motor adjusting device, and adjust the deflection angle of a grille blade to adjust the air outlet direction of the vehicle air conditioner. The air conditioner controller can also receive information reflecting the environment or personnel conditions inside and outside the vehicle obtained by other devices to adjust the running state of the vehicle air conditioner.

[0066] The embodiments of the present application also provide a chip, which includes a processor and a communication interface. The communication interface is coupled to the processor. The processor is configured to execute a program or instruction to realize each process of the control method of the vehicle air conditioner and achieve the same technical effects. Each process of the control method of the vehicle air conditioner is not repeated here.

[0067] It should be understood that the chip mentioned in the embodiments of the present application can also be referred to as a system-level chip, a system chip, a chip system, or a system-on-chip, etc.

[0068] It should be noted that, in the present document, the terms "comprises", "comprising", or any other variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but can include other elements not expressly listed or inherent to such process, method, article, or apparatus. An element proceeded by "comprises... a" does not, without more constraints, exclude the presence of additional identical elements in the process, method, article, or apparatus that comprises the element. Furthermore, it is to be understood that the method and apparatus of the present application can be carried out by more than one process, method, article, or apparatus either simultaneously, concurrently, or with intervening action that are carried out at the same time, either in a simultaneous fashion or in a fashion that is interleaved in time. For example, the described methods can be performed in a different order from that described, and / or various steps can be combined or omitted, and / or additional steps can be added, without departing from the scope of the present application. Also, features described with respect to certain examples can be combined in other examples.

[0069] From the above description of the embodiments, it is apparent that the above-described method of the embodiments can be realized by means of software and general-purpose hardware platforms, and of course, can also be realized by hardware, but in many cases, the former is a better embodiment. Based on such an understanding, the technical solutions of the present application can be embodied in the form of a software product, which is stored in a storage medium (such as a ROM / RAM, a magnetic disk, or an optical disk) and includes a number of instructions for causing a terminal (which can be a mobile phone, a computer, a server, an air conditioner, or a network device) to execute the methods described in the various embodiments of the present application.

[0070] The embodiments of the present application are described above with reference to the accompanying drawings, but the present application is not limited to the above-described specific embodiments, and the above-described specific embodiments are merely illustrative, rather than limiting, and a person of ordinary skill in the art can make many forms under the inspiration of the present application without departing from the scope of the present application and the protection scope of the claims, and all of them belong to the protection scope of the present application.

Claims

1. A method for controlling a vehicle air conditioner, characterized in that, The method includes: According to the preset collection cycle, facial information of drivers and passengers is collected; Based on the facial information, generate facial following instructions; According to the face-following command, the vehicle air conditioner is controlled to operate with following parameters; wherein, the following parameters are used to adjust the airflow direction of the vehicle air conditioner to point towards the face of the driver and passenger; In response to a target scene control command, optimization parameters are determined based on the following parameters and the control parameters corresponding to the target scene control command; wherein, the target scene control command includes a human intervention command or an automatic trigger command; Control the vehicle air conditioning to operate with the optimized parameters; The facial information includes multiple feature points and the position of each feature point, with each feature point corresponding to a sub-region. The sub-region is a pre-defined area based on the range of facial movement of the driver / passenger. The step of generating a facial following command based on the facial information specifically includes: obtaining the current position of a target feature point within the current acquisition cycle, wherein the target feature point is any one of the multiple feature points; determining whether the current position belongs to the position range corresponding to the sub-region to which the target feature point belongs in the previous acquisition cycle; if not, generating a facial following command based on the current position. The response priority of the human intervention command is higher than that of the automatic trigger command; before the step of determining the optimization parameters based on the following parameters and the control parameters corresponding to the target scene control command in response to the target scene control command, the specific steps include: taking the human intervention command as the target scene control command based on the fact that the number of target scene control commands is greater than 1.

2. The control method according to claim 1, characterized in that, The step of determining optimization parameters based on the following parameters and the control parameters corresponding to the target scene control command in response to the target scene control command specifically includes: In response to a target scene control command, determine whether the control parameters corresponding to the target scene control command include the parameter category to which the following parameter belongs; If included, the control parameters are determined as optimization parameters; If not included, the following parameter and the control parameter are determined as optimization parameters.

3. The control method according to claim 1, characterized in that, The automatic triggering command includes an anti-fatigue command; The control method further includes: The facial information is analyzed, and fatigue analysis results are generated. If the fatigue analysis results meet the preset fatigue judgment criteria, an anti-fatigue command is generated.

4. The control method according to claim 3, characterized in that, The control parameters corresponding to the anti-fatigue command include: The temperature of the vehicle air conditioner is the lowest value of the preset comfortable temperature range, and the airflow setting of the vehicle air conditioner is the highest airflow setting.

5. The control method according to claim 1, characterized in that, The automatic triggering command also includes an energy-saving command; The control method further includes: If the facial information is not collected after several preset collection cycles, an energy-saving command is generated.

6. The control method according to claim 5, characterized in that, The control parameters corresponding to the energy-saving command include: The vehicle air conditioner is either powered off or in energy-saving mode.

7. A vehicle air conditioning control system, characterized in that, include: The information collection module is used to collect facial information of drivers and passengers according to a preset collection period; The instruction generation module is used to generate facial following instructions based on the facial information; The first control module is used to control the vehicle air conditioner to operate with following parameters according to the face following command; wherein, the following parameters are used to adjust the airflow direction of the vehicle air conditioner to point towards the face of the driver and passenger. The instruction response module, responding to a target scene control instruction, is used to determine optimization parameters based on the following parameters and the control parameters corresponding to the target scene control instruction; wherein, the target scene control instruction includes a human intervention instruction or an automatic trigger instruction; The second control module is used to control the vehicle air conditioner to operate with the optimized parameters; The facial information includes multiple feature points and the position of each feature point, with each feature point corresponding to a sub-region. The sub-region is a pre-defined area based on the range of facial movement of the driver / passenger. The step of generating a facial following command based on the facial information specifically includes: obtaining the current position of a target feature point within the current acquisition cycle, wherein the target feature point is any one of the multiple feature points; determining whether the current position belongs to the position range corresponding to the sub-region to which the target feature point belongs in the previous acquisition cycle; if not, generating a facial following command based on the current position. The response priority of the human intervention command is higher than that of the automatic trigger command; before the step of determining the optimization parameters based on the following parameters and the control parameters corresponding to the target scene control command in response to the target scene control command, the specific steps include: taking the human intervention command as the target scene control command based on the fact that the number of target scene control commands is greater than 1.

8. A vehicle, characterized in that, The vehicle includes a processor, a memory, and a program or instructions stored in the memory and executable on the processor, wherein the program or instructions, when executed by the processor, implement the vehicle air conditioning control method as described in any one of claims 1 to 6.

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