Control method and system of vehicle-mounted air conditioner and vehicle

Abstract

The invention 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 steps of collecting face information of a driver and passengers according to a preset collection period; generating a face following instruction based on the face information; according to the face following instruction, the vehicle-mounted air conditioner is controlled to operate according to following parameters; wherein the following parameters are used for adjusting the air outlet direction of the vehicle-mounted air conditioner to point to the face of a driver and passengers; in response to the 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 human intervention instruction or an automatic triggering instruction; and controlling the vehicle-mounted air conditioner to operate according to the optimized parameters. The air outlet direction of the vehicle-mounted air conditioner dynamically follows the face of a driver and passengers, and meanwhile the vehicle-mounted air conditioner can be controlled according to the current scene to meet the control requirement of the driver and passengers for the vehicle-mounted air conditioner.

Description

Technical Field

[0001] The present application belongs to the technical field of vehicle air conditioning, and specifically relates to a control method, system and vehicle for a vehicle air conditioning. Background Art

[0002] Most vehicles on the market are currently equipped with air conditioning facilities as standard, providing a comfortable riding experience for drivers and passengers. However, when using the car air conditioner, the air outlet direction of the car air conditioner often requires the driver and passengers to manually adjust the grille blade angle to adjust the air outlet direction, or is limited to a single automatic wind sweeping function, which does not really improve the driver and passenger experience. In addition, the car air conditioner cannot intelligently adjust its own operating status according to the current scene, and it is difficult to respond to the frequent changes in the driver and passengers' demand for air outlets in real time. Therefore, the control process of the car air conditioner has the problems of low intelligence and poor flexibility. Summary of the invention

[0003] The purpose of the embodiments of the present application is to provide a control method, system and vehicle for a vehicle air conditioner, which can realize that the air outlet direction of the vehicle air conditioner dynamically follows the face of the driver and passengers, and at the same time can control the vehicle air conditioner according to the current scene to meet the control needs of the driver and passengers for 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, this application is implemented as follows: In a first aspect, an embodiment of the present application provides a method for controlling a vehicle air conditioner, the method comprising: Collect the facial information of the driver and passengers according to the preset collection cycle; Based on the facial information, generate a facial following instruction; According to the face following instruction, the vehicle air conditioner is controlled to operate according to the 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; In response to a target scene control instruction, determining an optimization parameter based on a follow-up 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; Control the vehicle air conditioning to run at optimized parameters.

[0005] Optionally, the facial information includes multiple feature points and the position of each feature point, and each feature point corresponds to a sub-area; wherein the sub-area is an area pre-divided according to the facial activity range of the driver and occupant; based on the facial information, the step of generating a facial following instruction specifically includes: obtaining the current position of the target feature point in the current acquisition cycle, wherein the target feature point is any feature point among the multiple feature points; determining whether the current position belongs to the position range corresponding to the sub-area to which the target feature point belongs in the previous acquisition cycle; if not, generating a facial following instruction based on the current position.

[0006] Optionally, the response priority of the human intervention instruction is higher than the automatic trigger instruction; in response to the target scene control instruction, before the step of determining the optimization parameters based on the follow-up parameters and the control parameters corresponding to the target scene control instruction, it specifically includes: based on the number of target scene control instructions being greater than 1, taking the human intervention instruction as the target scene control instruction.

[0007] Optionally, in response to the target scene control instruction, the step of determining the optimization parameter based on the follow parameter and the control parameter corresponding to the target scene control instruction specifically includes: in response to the target scene control instruction, determining whether the control parameter corresponding to the target scene control instruction includes the parameter category to which the follow parameter belongs; if included, determining the control parameter as the optimization parameter; if not included, determining the follow parameter and the control parameter as the optimization parameters.

[0008] Optionally, the automatic trigger instruction includes an anti-fatigue instruction; the control method also includes: analyzing facial information and generating a fatigue analysis result; if the fatigue analysis result meets a preset fatigue judgment standard, generating an anti-fatigue instruction.

[0009] Optionally, the control parameters corresponding to the anti-fatigue instruction include: the temperature of the vehicle air conditioner is the lowest value of a preset comfortable temperature range, and the air volume level of the vehicle air conditioner is the highest air output level.

[0010] Optionally, the automatic trigger instruction also includes a power-saving instruction; the control method also includes: after multiple preset collection cycles, if no facial information is collected, generating a power-saving instruction.

[0011] Optionally, the control parameters corresponding to the energy-saving instruction include: the power state of the vehicle air conditioner is off or the mode of the vehicle air conditioner is energy-saving mode.

[0012] In a second aspect, an embodiment of the present application provides a control system for a vehicle air conditioner, which controls the air flow of the vehicle air conditioner according to the control method for the vehicle air conditioner of the first aspect, including: An information collection module, used to collect facial information of drivers and passengers according to a preset collection period; An instruction generation module, used for generating a face following instruction based on the face information; A first control module is used to control the vehicle air conditioner to operate with a following parameter 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; An instruction response module, in response to a target scene control instruction, is used to determine an optimization parameter based on a follow-up 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; The second control module is used to control the vehicle air conditioner to operate with optimized parameters.

[0013] In a third aspect, an embodiment of the present application provides a vehicle, comprising a processor, a memory, and a program or instruction stored in the memory and executable on the processor, wherein when the program or instruction is executed by the processor, a method for controlling a vehicle air conditioner as in the first aspect is implemented.

[0014] In a fourth aspect, an embodiment of the present application provides a chip, the chip including a processor and a communication interface, the communication interface and the processor are coupled, and the processor is used to run programs or instructions to implement the control method of the vehicle air conditioner as in the first aspect.

[0015] In the embodiment of the present application, the control method of the vehicle air conditioner provided by the present application associates the facial information of the driver and the air outlet direction of the vehicle air conditioner, so that the air outlet direction of the vehicle air conditioner no longer needs the driver and the passenger to manually adjust the angle of the grille blades to adjust. When the face of the driver and the passenger is displaced, it can ensure that the air outlet direction of the vehicle air conditioner always points to the face of the driver and the passenger, so that the air outlet direction of the vehicle air conditioner dynamically follows the face of the driver and the passenger, thereby improving the intelligence of the control process of the vehicle air conditioner. At the same time, on the basis of the facial following instruction, the target scene control instruction is introduced, so that the vehicle air conditioner can adjust its operating state according to the current scene to meet the control needs of the driver and the passenger for the vehicle air conditioner, thereby improving the flexibility of the control process of the vehicle air conditioner. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] Figure 1 It is a flowchart of a method for controlling a vehicle air conditioner provided in some embodiments of the present application.

[0017] Figure 2 It is a logic diagram of a vehicle air conditioning control method provided by some embodiments of the present application.

[0018] Figure 3 This is a schematic diagram of facial recognition of drivers and passengers provided in some embodiments of the present application.

[0019] Figure 4 It is a schematic block diagram of the structure of a vehicle air conditioning control system provided by some embodiments of the present application.

[0020] Figure 5It is a schematic block diagram of a vehicle structure provided by some embodiments of the present application. DETAILED DESCRIPTION

[0021] The following will be combined with the drawings in the embodiments of the present application to clearly and completely describe the technical solutions in the embodiments of the present application. Obviously, the described embodiments are part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.

[0022] The terms "first", "second", etc. 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 interchangeable under appropriate circumstances, so that the embodiments of the present application can be implemented in an order other than those illustrated or described here. In addition, the "and / or" in the specification and claims represents at least one of the connected objects, and the character " / " generally represents that the objects associated with each other are in an "or" relationship.

[0023] The control method of the vehicle air conditioner provided in the embodiment of the present application is described in detail below through specific embodiments and application scenarios in combination with the accompanying drawings.

[0024] like Figure 1 As shown, a flow chart of some embodiments of the control method of the vehicle air conditioner provided in the embodiment of the present application, the control method may include: In some embodiments of the present application, S101: facial information of the driver and passengers is collected according to a preset collection cycle; S102: facial following instructions are generated based on the facial information; S103: the vehicle air conditioner is controlled to operate with following parameters according to the facial following instructions; wherein the following parameters are used to adjust the air outlet direction of the vehicle air conditioner to point to the face of the driver and passengers; S104: in response to a target scene control instruction, optimization parameters are determined 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; S105: the vehicle air conditioner is controlled to operate with optimized parameters.

[0025] In this embodiment, S101: collecting facial information of the driver and passengers according to a preset collection period. Figure 3As shown in the figure, a schematic diagram of facial recognition of drivers and passengers is shown. The preset collection period is 5 seconds. When the vehicle air conditioner is turned on, the face recognition device continuously collects facial information of drivers and passengers through camera 301, and the collection range is area 302. The camera is arranged in a position in the vehicle where facial features of people can be accurately identified, such as the A-pillar, above the steering wheel, or in front of the instrument panel. By presetting the collection period, it can be ensured that the collection of facial information of drivers and passengers is regular and continuous, avoiding the randomness and uncertainty of information collection.

[0026] In this embodiment, S102: Generate a facial following instruction based on facial information. The facial information of the driver and passenger that is continuously collected is sent to the air conditioning controller through the face recognition device. The air conditioning controller can analyze and calculate the control parameters required for controlling the air outlet direction of the vehicle air conditioning to point to the face of the driver and passenger according to the preset control strategy (such as PID control algorithm, fuzzy control algorithm, etc.), and generate a facial following instruction. The facial following instruction includes the specific value of the wind direction control parameter, the action mode of the actuator (such as start, stop, adjust, etc.), and the time sequence of execution.

[0027] In this embodiment, S103: according to the face following instruction, the vehicle air conditioner is controlled to operate with the 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 the occupant. It is understandable that the air conditioner controller sends the face following instruction to the motor adjustment device of the grille blade, and the motor adjustment device adjusts the deflection angle of the grille blade according to the following parameter in the face following instruction, thereby adjusting the grille jet direction so that the wind direction range of the vehicle air conditioner is locked in the face range of the driver and the occupant, that is, the air outlet direction of the vehicle air conditioner is directed to the face of the driver and the occupant. By adjusting the grille jet angle, the path and diffusion range of the airflow can be changed to achieve a more uniform and comfortable air supply effect.

[0028] In this embodiment, S104: In response to the target scene control instruction, the optimization parameter is determined based on the follow parameter and the 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. When the inside and outside environment or personnel status of the vehicle changes, the air conditioning controller can combine the control parameter of the target scene control instruction corresponding to the preset scene with the follow parameter, and can further control the vehicle air conditioning on the basis of realizing face tracking. It should be noted that in the embodiment of the present application, the air conditioning controller can receive facial information collected from the face recognition device or information obtained by other devices that can reflect the inside and outside environment or personnel status of the vehicle. Based on the follow parameter and the control parameter, the control parameter that can meet the operating state of the vehicle air conditioning required by the driver and passengers in the current scene is determined, that is, the optimization parameter is determined. When the driver and passengers send a demand instruction to the air conditioning controller through the user interaction interface or the communication device, it is a human intervention instruction. When the current scene meets the preset scene, the control instruction corresponding to the preset scene requirement is automatically generated, that is, the automatic trigger instruction.

[0029] In this embodiment, S105: controlling the vehicle air conditioner to operate with the optimized parameters. It is understandable that the operating state of the vehicle air conditioner can be optimized through the parameters, and the operating parameters of the vehicle air conditioner can be automatically adjusted according to the current scene requirements and the real-time requirements of the driver and passengers to achieve the best comfort and energy efficiency ratio.

[0030] like Figure 2 As shown, a logic diagram of some embodiments of the control method of the vehicle air conditioner provided by the embodiment of the present application, the control method may also include: In some embodiments of the present application, S210: the vehicle air conditioner is turned on; S220: a facial following instruction is generated; S230: the vehicle air conditioner runs 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 instructions is greater than 1; S260: the human intervention instruction is used as the target scene control instruction; S270: it is determined whether the control parameter includes the corresponding parameter category; S281: the control parameter is used as an optimization parameter; S282: the following parameter and the control parameter are used as optimization parameters; S290: the vehicle air conditioner runs with optimized parameters.

[0031] In this embodiment, S220: generate a facial following instruction; S230: the vehicle air conditioner operates with the following parameters. Facial information includes multiple feature points and the position of each feature point, each feature point corresponds to a sub-area; wherein the sub-area is a region pre-divided according to the facial activity range of the driver and passenger; based on the facial information, step S220: generate a facial following instruction, specifically including: obtaining the current position of the target feature point in the current acquisition cycle, wherein the target feature point is any feature point among the multiple feature points; determining whether the current position belongs to the position range corresponding to the sub-area to which the target feature point belongs in the previous acquisition cycle; i.e. executing step S240, determining whether the position range of the target feature point has changed, if so, returning to step S220 to regenerate the facial following instruction, and the vehicle air conditioner operates with the updated following parameters.

[0032] In this embodiment, in order to avoid too frequent adjustment of the angle of the grille blades due to small movements of the driver's face, multiple sub-areas can be roughly divided as needed according to the facial activity area of ​​the driver. When the position range corresponding to the sub-area to which the feature point belongs is compared with the position range corresponding to the sub-area to which the target feature point belongs in the previous acquisition cycle, if the position range has changed, that is, the facial feature point of the driver has crossed the boundary of the sub-area, the face recognition device will send this information to the air conditioner controller, and the air conditioner controller will update the face following instruction according to the current target feature point position to ensure that the air outlet direction of the vehicle air conditioner can respond to the movement of the driver's face in time. By setting a reasonable threshold to reduce the ineffective movement of the grille blades, when the driver's face moves in a small range in the activity area, it will not cause frequent fluctuations in the air flow, thereby improving the comfort of the vehicle air conditioner.

[0033] In this embodiment, it can be understood that when the vehicle air conditioner is turned on, the facial information of the driver and passenger is continuously collected through the face recognition device, and the facial feature points of the driver and passenger are obtained according to the image information of the driver and passenger's face collected by the camera in the vehicle every 5 seconds; the position of the feature points of the driver and passenger's face is located by using a facial detection algorithm (such as HOG, deep learning algorithm, etc.); according to the result of facial detection, the specific position of the driver and passenger's face is locked. Subsequently, the detected driver and passenger's face is continuously tracked using a facial tracking algorithm (such as Kalman filter, particle filter, etc.). These algorithms can predict and update the position of the driver and passenger's facial feature points in each frame of the image, thereby obtaining its position movement trajectory. Or the position of the facial feature points obtained by the facial tracking algorithm is further processed to extract the movement trajectory of the facial feature points. The process includes calculating the coordinates, speed, direction and other parameters of the driver and passenger's facial feature points in each frame of the image. These parameters can be used to track and locate the facial position of the driver and passenger.

[0034] 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 the automatic trigger instruction; before the step of determining the optimization parameter based on the follow-up parameter and the control parameter corresponding to the target scene control instruction in response to the target scene control instruction, specifically includes: 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.

[0035] In this embodiment, it is ensured that the human intervention instruction has the highest priority. When there are both human intervention instructions and automatic trigger instructions, the human intervention instruction is selected for priority execution. On the basis of the automatic control of the vehicle air conditioner, the driver and passengers are given more choice and control flexibility to ensure that the individual needs of the driver and passengers are met first and the driver and passengers experience is guaranteed.

[0036] In this embodiment, S270: Determine whether the control parameter includes the parameter category. Specifically, it includes: in response to the target scene control instruction, determine whether the control parameter corresponding to the target scene control instruction includes the parameter category to which the follow parameter belongs; if it does, execute step S281 to determine the control parameter as the optimization parameter; if it does not, execute step S282 to determine the follow parameter and the control parameter as the optimization parameter.

[0037] In this embodiment, when the control parameter category in the target scene control instruction does not include 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 air conditioner on the basis that the wind direction of the vehicle air conditioner dynamically follows the face of the occupant, that is, determine the following parameter and the control parameter as the optimization parameter. When the control parameter category in the target scene control instruction includes the wind direction parameter category to which the following parameter of the face following instruction belongs, in order to avoid causing instruction conflicts, the control parameter of the target scene control instruction is used as the optimization parameter, and the following parameter in the face following instruction is replaced by the wind direction parameter in the target scene control instruction.

[0038] In this embodiment, in the following scenarios, the control parameters in the target scene control instruction include wind direction parameters. For example, when the air conditioning controller receives information that both the main driving and co-pilot seats are occupied, the control parameters corresponding to the target scene control instruction include mode switching parameters, switching the mode of the vehicle air conditioning to the wind sweeping mode, in which the control parameters of the vehicle air conditioning are default, including parameters such as wind direction and wind speed, and 6 wind sweeping modes can be combined according to the 3 wind sweeping speeds and 2 wind direction dwelling times configured by default for the vehicle air conditioning; when the air conditioning controller receives information that there are elderly people or children in the car or that the facial temperature of the driver and passenger reaches the sweating state, the control parameters corresponding to the target scene control instruction include parameters such as wind direction, and the grille blades are driven to operate through the motor adjustment device, so that the wind direction of the vehicle air conditioning avoids the face of the corresponding driver and passenger.

[0039] In some embodiments of the present application, the automatic triggering instruction includes an anti-fatigue instruction; analyzing facial information and generating a fatigue analysis result; if the fatigue analysis result meets a preset fatigue judgment standard, generating an anti-fatigue instruction.

[0040] In this embodiment, the driver fatigue detection system (Driver Monitor System) can be used for monitoring. The camera can be placed at the A-pillar, above the steering wheel or in front of the instrument panel, etc., to collect relevant facial information of the driver to detect the driver's fatigue state, and then generate fatigue analysis results. The identification of fatigue state includes but is not limited to the driver's dull eyes, stiff facial expression, frequent yawning, slow movements, etc.

[0041] In some embodiments of the present application, the control parameters corresponding to the anti-fatigue instruction include: the temperature of the vehicle air conditioner is the lowest value of the preset comfortable temperature range, and the air volume level of the vehicle air conditioner is the highest air output level.

[0042] 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 level 1 to level 5, thereby effectively reducing fatigue. The comfortable temperature range of the vehicle air conditioner is usually a standard range determined by the manufacturer based on ergonomic research or can be determined based on one's own comfort level.

[0043] In some embodiments of the present application, the automatic trigger instruction also includes a power saving instruction; after multiple preset collection cycles, if no facial information is collected, a power saving instruction is generated.

[0044] In this embodiment, after the face recognition device collects facial information three times in succession (i.e., after three collection cycles), if the facial features of the original occupants are not successfully identified within these three collection cycles or it is identified that there are no occupants in the car, the device will determine that the number of occupants in the car has changed, and it is possible that some passengers have gotten off the car or there is no one in the car.

[0045] In some embodiments of the present application, the control parameters corresponding to the energy-saving instruction include: the power state of the vehicle air conditioner is off or the mode of the vehicle air conditioner is energy-saving mode.

[0046] In this embodiment, the control parameters corresponding to the energy-saving instruction include but are not limited to the following two situations: When the air-conditioning controller receives information that there is no one in the car, it will automatically turn off the power of the vehicle air-conditioning and stop the operation of the vehicle air-conditioning. This operation will ensure that when the vehicle air-conditioning is not needed, the automatic power cut-off will not consume electricity, thereby achieving the purpose of energy saving. When the air-conditioning controller receives information that some passengers have gotten off the car, it will control the vehicle air-conditioning to enter the energy-saving mode. In this mode, the vehicle air-conditioning will take a series of energy-saving measures, such as reducing the cooling or heating power, reducing the wind speed, optimizing the air supply mode, etc., to reduce energy consumption.

[0047] It should be noted that the control method of the vehicle air conditioner provided in the embodiment of the present application can be executed by the control system of the vehicle air conditioner, or a control module in the control system for executing the control method of loading the vehicle air conditioner. In the embodiment of the present application, the control method of the vehicle air conditioner provided in the embodiment of the present application is explained by taking the control system of the vehicle air conditioner executing the control method of loading the vehicle air conditioner as an example.

[0048] like Figure 4 As shown, the control system of the vehicle air conditioner provided in the embodiment of the present application includes an information collection module 401, which is used to collect facial information of the driver and occupants according to a preset collection cycle; an instruction generation module 402, which is used to generate a facial following instruction based on the facial information; a first control module 403, which is used to control the vehicle air conditioner to operate with following parameters according to the facial following instruction; wherein the following parameters are used to adjust the air outlet direction of the vehicle air conditioner to point to the face of the driver and occupants; an instruction response module 404, which responds to the target scene control instruction and is used to determine the 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; and a second control module 405, which is used to control the vehicle air conditioner to operate with optimized parameters.

[0049] The control system of the vehicle air conditioner in the embodiment of the present application can be a device, or a component, integrated circuit, or chip in a terminal. The device can be a mobile electronic device or a non-mobile electronic device. For example, the mobile electronic device can be a mobile phone, a tablet computer, a laptop computer, a PDA, a vehicle-mounted electronic device, a wearable device, an ultra-mobile personal computer (UMPC), a netbook, or a personal digital assistant (PDA), etc. The non-mobile electronic device can be a server, a network attached storage (NAS), or a personal computer (PC), etc., which is not specifically limited in the embodiment of the present application.

[0050] The vehicle air conditioner control system provided in the embodiment of the present application can achieve Figure 1 and Figure 2 In order to avoid repetition, the various processes implemented by the control system of the vehicle air conditioner in the method embodiment will not be described here.

[0051] Alternatively, if Figure 5 As shown, an embodiment of the present application also provides a vehicle, including a processor 501, a memory 502, and a program or instruction stored in the memory and executable on the processor. When the program or instruction is executed by the processor, each process of the above-mentioned vehicle air-conditioning control method embodiment is implemented, and the same technical effect can be achieved. To avoid repetition, it will not be repeated here.

[0052] The embodiment of the present application also provides a vehicle, including an air conditioning controller, which can receive information provided by a face recognition device and send instructions to a motor adjustment device, thereby adjusting the deflection angle of the grille blades to adjust the air outlet direction of the vehicle air conditioner. The air conditioning controller can also receive information obtained by other devices that can reflect the environment inside and outside the vehicle or the status of people to adjust the operating state of the vehicle air conditioner.

[0053] The embodiment of the present application further provides a chip, which includes a processor and a communication interface. The communication interface and the processor are coupled, and the processor is used to run programs or instructions to implement the various processes of the above-mentioned vehicle air conditioner control method embodiment, and can achieve the same technical effect. To avoid repetition, it will not be repeated here.

[0054] It should be understood that the chip mentioned in the embodiments of the present application can also be called a system-level chip, a system chip, a chip system or a system-on-chip chip, etc.

[0055] It should be noted that, in this article, the terms "comprise", "include" or any other variant thereof are intended to cover non-exclusive inclusion, so that the process, method, article or device including a series of elements includes not only those elements, but also includes other elements not explicitly listed, or also includes elements inherent to such process, method, article or device. In the absence of further restrictions, the elements defined by the sentence "comprise one..." do not exclude the presence of other identical elements in the process, method, article or device including the element. In addition, it should be pointed out that the scope of the methods and devices in the embodiments of the present application is not limited to performing functions in the order shown or discussed, and may also include performing functions in a substantially simultaneous manner or in reverse order according to the functions involved, for example, the described method may be performed in an order different from that described, and various steps may also be added, omitted, or combined. In addition, the features described with reference to certain examples may be combined in other examples.

[0056] Through the description of the above implementation methods, those skilled in the art can clearly understand that the above-mentioned embodiment methods can be implemented by means of software plus a necessary general hardware platform, and of course by hardware, but in many cases the former is a better implementation method. Based on such an understanding, the technical solution of the present application, or the part that contributes to the prior art, can be embodied in the form of a software product, which is stored in a storage medium (such as ROM / RAM, a magnetic disk, or an optical disk), and includes a number of instructions for a terminal (which can be a mobile phone, a computer, a server, an air conditioner, or a network device, etc.) to execute the methods described in each embodiment of the present application.

[0057] The embodiments of the present application are described above in conjunction with the accompanying drawings, but the present application is not limited to the above-mentioned specific implementation methods. The above-mentioned specific implementation methods are merely illustrative and not restrictive. Under the guidance of the present application, ordinary technicians in this field can also make many forms without departing from the purpose of the present application and the scope of protection of the claims, all of which are within the protection of the present application.

Claims

1. A method for controlling a vehicle air conditioner, characterized in that: The method comprises: Collect the facial information of the driver and passengers according to the preset collection cycle; Based on the facial information, generating a facial following instruction; According to the face following instruction, the vehicle air conditioner is controlled to operate with the 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; In response to a target scene control instruction, determining an optimization parameter based on the follow 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; The vehicle air conditioner is controlled to operate with the optimized parameters.

2. The control method according to claim 1, characterized in that: The facial 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 facial activity range of the driver or passenger; The step of generating a facial following instruction based on the facial information specifically includes: Acquire the current position of the target feature point in the current acquisition cycle, wherein the target feature point is any feature point among the multiple feature points; Determine 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, a face following instruction is generated according to the current position.

3. The control method according to claim 1, characterized in that: 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 follow parameter and the control parameter corresponding to the target scene control instruction in response to the target scene control instruction, the method specifically includes: Based on the number of the target scene control instructions being greater than 1, the human intervention instruction is used as the target scene control instruction.

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

5. The control method according to claim 1, characterized in that: The automatic triggering instruction includes an anti-fatigue instruction; The control method further comprises: Analyzing the facial information and generating fatigue analysis results; If the fatigue analysis result meets the preset fatigue judgment standard, an anti-fatigue instruction is generated.

6. The control method according to claim 5, characterized in that: The control parameters corresponding to the anti-fatigue instruction include: The temperature of the vehicle air conditioner is the lowest value of the preset comfortable temperature range, and the air volume gear of the vehicle air conditioner is the highest air output gear.

7. The control method according to claim 1, characterized in that: The automatic triggering instruction also includes an energy-saving instruction; The control method further comprises: After a plurality of preset collection cycles, if the facial information is not collected, a power saving instruction is generated.

8. The control method according to claim 7, characterized in that: The control parameters corresponding to the energy-saving instruction include: The power state of the vehicle air conditioner is off or the mode of the vehicle air conditioner is energy-saving mode.

9. A vehicle air conditioning control system, characterized in that: include: An information collection module, used to collect facial information of drivers and passengers according to a preset collection period; An instruction generation module, used for generating a face following instruction based on the facial information; A first control module, configured to control the vehicle air conditioner to operate with a following parameter 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; An instruction response module, in response to a target scene control instruction, is used to determine an optimization parameter based on the follow-up 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; The second control module is used to control the vehicle air conditioner to operate with the optimized parameters.

10. A vehicle, characterized in that: The vehicle includes a processor, a memory, and a program or instruction stored in the memory and executable on the processor, and when the program or instruction is executed by the processor, a control method for the vehicle air conditioner as described in any one of claims 1 to 8 is implemented.

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