WO2018103238A1 - 车内环境自动调节方法及装置 - Google Patents
车内环境自动调节方法及装置 Download PDFInfo
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- WO2018103238A1 WO2018103238A1 PCT/CN2017/078546 CN2017078546W WO2018103238A1 WO 2018103238 A1 WO2018103238 A1 WO 2018103238A1 CN 2017078546 W CN2017078546 W CN 2017078546W WO 2018103238 A1 WO2018103238 A1 WO 2018103238A1
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- vehicle
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60R—VEHICLES, VEHICLE FITTINGS, OR VEHICLE PARTS, NOT OTHERWISE PROVIDED FOR
- B60R16/00—Electric or fluid circuits specially adapted for vehicles and not otherwise provided for; Arrangement of elements of electric or fluid circuits specially adapted for vehicles and not otherwise provided for
- B60R16/02—Electric or fluid circuits specially adapted for vehicles and not otherwise provided for; Arrangement of elements of electric or fluid circuits specially adapted for vehicles and not otherwise provided for electric constitutive elements
- B60R16/037—Electric or fluid circuits specially adapted for vehicles and not otherwise provided for; Arrangement of elements of electric or fluid circuits specially adapted for vehicles and not otherwise provided for electric constitutive elements for occupant comfort, e.g. for automatic adjustment of appliances according to personal settings, e.g. seats, mirrors, steering wheel
Definitions
- the present invention relates to the field of vehicle monitoring technologies, and in particular, to a method and an apparatus for automatically adjusting an interior environment of a vehicle.
- the adjustment of the interior environment is mainly manually adjusted by the owner himself.
- this adjustment method allows the owner to leave the steering wheel when driving, and the spirit is not concentrated on driving. Caused a car accident.
- the main object of the present invention is to provide an automatic adjustment method and device for a vehicle interior environment, which aims to realize automatic setting of environmental parameters in a vehicle and improve driving safety of the vehicle.
- the present invention provides an automatic adjustment method for an interior environment of a vehicle, including:
- the relevant environmental parameters in the vehicle are automatically adjusted according to the current scene mode and the pre-learned setting habits of the driver's environment parameters in the vehicle.
- the method before the step of acquiring the current scene mode and the pre-learning setting habits of the driver to the in-vehicle environment parameter, when the driver is driving the vehicle, the method further includes:
- the driver's setting behavior of the environment parameters in the vehicle is monitored, and the corresponding scene mode is obtained;
- the in-vehicle environment parameters in the corresponding scene mode are learned, and the driver's setting habits for the environment parameters in the vehicle are obtained.
- the step of monitoring the setting behavior of the driver's environment parameter in the vehicle and acquiring the corresponding scene mode includes:
- the identity information includes at least one of the driver's avatar, fingerprint, and iris;
- the step of learning the in-vehicle environment parameter in the corresponding scene mode according to the driver's setting behavior of the in-vehicle environment parameter, and obtaining the setting habit of the driver to the in-vehicle environment parameter includes:
- the environmental parameter set by the driver in the vehicle including at least: a driving mode of the vehicle, a temperature parameter of the air conditioner, a sound size of the sound, and/or a Listening to the song as the setting habit of the driver's environment parameters in the vehicle, and acquiring the current corresponding scene mode, setting the driver's setting habits to the environment parameters of the vehicle, the driver's identity information and the corresponding scene mode Associate storage.
- the scene mode includes at least: a commuting driving time period or an amateur driving time period.
- the scene mode further includes: a summer mode and a winter mode.
- the step of acquiring the current scene mode when the driver drives the vehicle, and pre-learning the setting habits of the driver to the in-vehicle environment parameter comprises:
- the driver's identity information is recognized, the current scene mode is acquired, and the driver's setting habits for the in-vehicle environment parameters are learned in advance;
- the step of automatically adjusting related environmental parameters in the vehicle according to the current scene mode and the pre-learned setting habit of the driver to the in-vehicle environment parameter includes:
- the embodiment of the invention further provides an automatic adjustment device for the interior environment of the vehicle, comprising:
- a custom data acquisition module configured to acquire a current scene mode when the driver is driving the vehicle, and pre-learn the driver's setting habits for the environment parameter in the vehicle;
- an adjustment module configured to automatically adjust related environmental parameters in the vehicle according to the current scene mode and the pre-learned setting habit of the driver to the in-vehicle environment parameter.
- the device further includes:
- a monitoring module configured to monitor a driver's setting behavior of an environment parameter in the vehicle during a driving period, and obtain a corresponding scene mode
- the learning module is configured to learn the in-vehicle environment parameters in the corresponding scene mode according to the driver's setting behavior of the in-vehicle environment parameter, and obtain the setting habit of the driver to the in-vehicle environment parameter.
- the monitoring module is further configured to identify, in a preset period, the current driver's identity information during the driving process of the vehicle; the identity information includes at least one of a driver's avatar, a fingerprint, and an iris. Monitoring the driver's setting behavior of the environment parameters in the vehicle and obtaining the corresponding scene mode;
- the learning module is further configured to acquire, according to the setting behavior of the driver's environment parameter in the vehicle, the environmental parameter set by the driver in the vehicle, where the environmental parameter includes at least: a driving mode of the vehicle, a parameter of the air conditioning temperature, The sound size of the sound and/or the song that is often heard, as the setting habit of the driver's environment parameters in the vehicle, and acquiring the current corresponding scene mode, setting the driver's habit of setting the environment parameters of the vehicle, the driver The identity information is stored in association with the corresponding scene mode.
- the scene mode includes at least: a commuting driving time period or an amateur driving time period.
- the scene mode further includes: a summer mode and a winter mode.
- the custom data acquiring module is further configured to: when detecting that the driver drives the vehicle, identify the driver's identity information, acquire the current scene mode, and pre-learn the driver's setting of the in-vehicle environment parameter. habit;
- the adjustment module is further configured to search, according to the current scene mode and the identity information of the driver, the pre-learned driver-to-vehicle environment parameter associated with the current scene mode and the driver's identity information.
- the setting habits are to obtain the interior environment parameters that the driver is accustomed to set in the current scene mode, and automatically adjust the relevant environmental parameters in the vehicle according to the interior environment parameters set by the driver.
- the method and device for automatically adjusting the interior environment of the vehicle provided by the present invention, when the driver is driving the vehicle, acquiring the current scene mode, and pre-learning the driver's setting habits for the environment parameters in the vehicle;
- the scene mode, and the pre-learned setting habits of the driver's environment parameters in the vehicle automatically adjust relevant environmental parameters in the vehicle, thereby setting a learning unit or a learning module in the vehicle, according to the driver's habit Learning in the car environment, when the driver drives the vehicle, according to different scenarios, the internal environment parameters are automatically set or adjusted to make the driver drive safer.
- FIG. 1 is a schematic flow chart of a first embodiment of an automatic adjustment method for a vehicle interior according to the present invention
- FIG. 2 is a schematic flow chart of a second embodiment of an automatic adjustment method for a vehicle interior according to the present invention
- FIG. 3 is a schematic diagram of functional modules of a first embodiment of an automatic adjustment device for a vehicle interior according to the present invention
- FIG. 4 is a schematic diagram of functional modules of a second embodiment of an automatic adjustment device for a vehicle interior according to the present invention.
- the main solution of the embodiment of the present invention is: acquiring the current scene mode when the driver drives the vehicle, and pre-learning the driver's setting habits for the interior environment parameter; according to the current scene mode, and the advance
- the learned driver's setting habits for the internal environment parameters of the vehicle automatically adjust the relevant environmental parameters in the vehicle.
- a learning unit or a learning module can be set in the vehicle to learn the environment of the vehicle according to the driver's habits.
- the vehicle interior environment parameters are automatically set according to different scenarios, so that the driver is safer to drive.
- the invention provides a solution, which can realize automatic setting of environmental parameters in the vehicle and improve driving safety of the vehicle.
- a first embodiment of the present invention provides a method for automatically adjusting an environment in a vehicle, including:
- Step S101 Acquire a current scene mode when the driver is driving the vehicle, and pre-learn the setting habit of the driver to the environment parameter in the vehicle;
- the solution of the embodiment mainly solves the automatic setting of the environmental parameters in the vehicle to improve the driving safety of the vehicle.
- the execution body of the method in this embodiment may be an in-vehicle terminal or an on-board unit, or may be a user-handheld device (such as a mobile terminal such as a mobile phone or a tablet computer), or may be a network server or a cloud server. In addition, it can also be an automatic adjustment device for the interior environment, and the device can be disposed on the terminal or the server.
- the driver when the driver is monitored to drive the vehicle, the current scene mode is acquired, and the driver's setting habits for the in-vehicle environment parameters are learned in advance.
- the scene mode can be divided into various types according to the actual situation. Considering that the owner usually drives during the working time period (such as working time and off-duty time), the time is relatively tight, there is not much time to set the internal environment parameters, and the songs are listened to. It may be biased towards radical or soothing (depending on the person), so you can set two scene modes, the commute driving time period and the amateur driving time period.
- the working time period such as working time and off-duty time
- the time is relatively tight, there is not much time to set the internal environment parameters, and the songs are listened to. It may be biased towards radical or soothing (depending on the person), so you can set two scene modes, the commute driving time period and the amateur driving time period.
- the scene mode can also be divided into a summer mode and a winter mode.
- the corresponding learning is performed, and the setting habit data of the driver's environment parameters in the vehicle is stored, so that the driver can directly set the parameters according to the driver's habits.
- the setting habit data of the driver's environment parameters in the vehicle is stored, so that the driver can directly set the parameters according to the driver's habits.
- To set the internal environment parameters to avoid the need to manually adjust the interior parameters in real time after the user starts the vehicle, resulting in a hidden danger of car accidents due to lack of concentration on the driver.
- a learning unit may be provided in the vehicle, and the driver may perform corresponding learning according to the usage habits of the driver's internal environment parameters, such as the temperature of the air conditioner in the vehicle, the temperature adjustment, the sound volume of the sound, and the listening sound. Broadcast program settings, frequently heard songs, etc., and store learning data corresponding to the driver's identity.
- the driver's identity information is first identified, the current scene mode is acquired, the current scene mode is determined to belong to the winter mode or the summer mode, or the current scene mode is determined to belong to the commute driving time period.
- the user's avatar, iris, etc. can be obtained through the in-vehicle camera or the vehicle-mounted terminal or the vehicle-mounted unit, or the user's mobile terminal, and can also be set on the steering wheel or other components in the vehicle.
- the fingerprint identifier identifies the fingerprint information of the user to obtain the identity information of the user.
- Step S102 automatically adjusting related environmental parameters in the vehicle according to the current scene mode and the pre-learned setting habits of the driver's environment parameters in the vehicle.
- the pre-learned setting habits of the driver's environment parameters in the vehicle associated with the current scene mode and the driver identity information may be searched for, and obtained In the current scene mode, the driver is accustomed to setting the in-vehicle environment parameter, and automatically adjusts relevant environmental parameters in the vehicle according to the in-vehicle environment parameter set by the driver.
- the current scene mode is acquired, and the driver's setting habits for the in-vehicle environment parameters are learned in advance; according to the current scene mode and the pre-learned
- the driver sets the habit of setting the internal environment parameters of the vehicle, and automatically adjusts the relevant environmental parameters in the vehicle. Therefore, a learning unit can be set in the vehicle, and corresponding learning is performed according to the driver's habits, such as the temperature of the air conditioner in the vehicle. High and low, temperature adjustment, sound sound size, frequent listening broadcast program settings, frequently heard songs, etc.
- the learning unit recognizes that the driver is driving the vehicle, the learning unit performs the vehicle interior environment according to the past driver's habits. The corresponding automatic adjustment makes the driver's driving more comfortable and safer.
- a second embodiment of the present invention provides a method for automatically adjusting an in-vehicle environment.
- step S101 acquiring a current scene mode when the driver is monitored to drive the vehicle.
- pre-learning the driver's setting habits for the interior environment parameters include:
- Step S90 During the preset period, during the driving process of the vehicle, monitor the setting behavior of the driver's environment parameters in the vehicle, and obtain a corresponding scene mode;
- step S100 according to the setting behavior of the driver's environment parameter in the vehicle, the in-vehicle environment parameter in the corresponding scene mode is learned, and the setting habit of the driver to the environment parameter in the vehicle is obtained.
- the embodiment further includes a solution for obtaining the driver's setting habits for the environment parameters in the vehicle by learning.
- the identity information of the current driver is identified; the identity information includes at least: a driver's avatar, a fingerprint, an iris, and the like.
- the environmental parameter set by the driver to the vehicle is obtained, wherein the environmental parameter may include: a driving mode of the vehicle, a temperature parameter of the air conditioner, and a sound size of the sound. And/or a song that is often listened to, as a setting habit of the driver's environment parameters in the vehicle, and acquiring a current corresponding scene mode, setting the driver's setting habits to the environment parameters of the vehicle, and the driver's identity information and The corresponding scene mode is associated with the storage.
- a learning unit or a learning module is set in the vehicle in advance, and corresponding learning is performed according to the driver's habits, such as the temperature of the air conditioner in the vehicle, the temperature adjustment, the sound volume of the sound, and the listening sound. Broadcast program settings, frequently heard songs, etc.
- the learning unit recognizes that the driver is driving the vehicle, the learning unit automatically adjusts the interior environment according to the past driver's habits, making the driver more comfortable and safer to drive. .
- the first embodiment of the present invention provides an automatic environment adjustment device for a vehicle, comprising: a habit data acquisition module 201 and an adjustment module 202, wherein:
- the habit data acquisition module 201 is configured to acquire a current scene mode when the driver is driving the vehicle, and pre-learn the setting habit of the driver to the in-vehicle environment parameter;
- the adjustment module 202 is configured to automatically adjust related environmental parameters in the vehicle according to the current scene mode and the driver's setting habits of the in-vehicle environment parameters.
- the custom data acquisition module is further configured to: when detecting that the driver drives the vehicle, identify the driver's identity information, acquire the current scene mode, and pre-learn the driver's setting habits for the interior environment parameter of the vehicle. ;
- the adjustment module 202 is further configured to search, according to the current scene mode and the identity information of the driver, the pre-learned driver-to-vehicle environment associated with the current scene mode and the driver's identity information.
- the setting habit of the parameter obtains the interior environment parameter that the driver is accustomed to set in the current scene mode, and automatically adjusts the relevant environmental parameters in the vehicle according to the interior environment parameter set by the driver.
- the solution of the embodiment mainly solves the automatic setting of the environmental parameters in the vehicle to improve the driving safety of the vehicle.
- the automatic environment adjustment device of the vehicle in this embodiment may be disposed on the vehicle-mounted terminal or the vehicle-mounted unit, or may be disposed on the user's handheld device (such as a mobile terminal such as a mobile phone or a tablet computer), and may also be disposed on the network server or the cloud server.
- the driver when the driver is monitored to drive the vehicle, the current scene mode is acquired, and the driver's setting habits for the in-vehicle environment parameters are learned in advance.
- the scene mode can be divided into various types according to the actual situation. Considering that the owner usually drives during the working time period (such as working time and off-duty time), the time is relatively tight, there is not much time to set the internal environment parameters, and the songs are listened to. It may be biased towards radical or soothing (depending on the person), so you can set two scene modes, the commute driving time period and the amateur driving time period.
- the working time period such as working time and off-duty time
- the time is relatively tight, there is not much time to set the internal environment parameters, and the songs are listened to. It may be biased towards radical or soothing (depending on the person), so you can set two scene modes, the commute driving time period and the amateur driving time period.
- the scene mode can also be divided into a summer mode and a winter mode.
- the corresponding learning is performed, and the setting habit data of the driver's environment parameters in the vehicle is stored, so that the driver can directly set the parameters according to the driver's habits.
- the setting habit data of the driver's environment parameters in the vehicle is stored, so that the driver can directly set the parameters according to the driver's habits.
- To set the internal environment parameters to avoid the need to manually adjust the interior parameters in real time after the user starts the vehicle, resulting in a hidden danger of car accidents due to lack of concentration on the driver.
- a learning unit may be provided in the vehicle, and the driver may perform corresponding learning according to the usage habits of the driver's internal environment parameters, such as the temperature of the air conditioner in the vehicle, the temperature adjustment, the sound volume of the sound, and the listening sound. Broadcast program settings, frequently heard songs, etc., and store learning data corresponding to the driver's identity.
- the driver's identity information is first identified, the current scene mode is acquired, the current scene mode is determined to belong to the winter mode or the summer mode, or the current scene mode is determined to belong to the commute driving time period.
- the user's avatar, iris, etc. can be obtained through the in-vehicle camera or the vehicle-mounted terminal or the vehicle-mounted unit, or the user's mobile terminal, and can also be set on the steering wheel or other components in the vehicle.
- the fingerprint identifier identifies the fingerprint information of the user to obtain the identity information of the user.
- the relevant environmental parameters in the vehicle are automatically adjusted.
- the pre-learned setting habits of the driver's environment parameters in the vehicle associated with the current scene mode and the driver identity information may be searched for, and obtained In the current scene mode, the driver is accustomed to setting the in-vehicle environment parameter, and automatically adjusts relevant environmental parameters in the vehicle according to the in-vehicle environment parameter set by the driver.
- the current scene mode is acquired, and the driver's setting habits for the in-vehicle environment parameters are learned in advance; according to the current scene mode and the pre-learned
- the driver sets the habit of setting the internal environment parameters of the vehicle, and automatically adjusts the relevant environmental parameters in the vehicle. Therefore, a learning unit can be set in the vehicle, and corresponding learning is performed according to the driver's habits, such as the temperature of the air conditioner in the vehicle. High and low, temperature adjustment, sound sound size, frequent listening broadcast program settings, frequently heard songs, etc.
- the learning unit recognizes that the driver is driving the vehicle, the learning unit performs the vehicle interior environment according to the past driver's habits. The corresponding automatic adjustment makes the driver's driving more comfortable and safer.
- the second embodiment of the present invention provides an automatic adjustment device for the interior of the vehicle. Based on the embodiment shown in FIG. 3, the device further includes:
- the monitoring module 203 is configured to monitor a setting behavior of the driver's environment parameter in the vehicle during the driving period of the vehicle, and acquire a corresponding scene mode;
- the learning module 204 is configured to learn the in-vehicle environment parameters in the corresponding scene mode according to the driver's setting behavior of the in-vehicle environment parameter, and obtain the setting habit of the driver to the in-vehicle environment parameter.
- the monitoring module 203 is further configured to identify, in a preset period, the current driver's identity information during the driving process of the vehicle; the identity information includes at least one of a driver's avatar, a fingerprint, and an iris. Monitoring the driver's setting behavior of the environment parameters in the vehicle and obtaining the corresponding scene mode;
- the learning module 204 is further configured to acquire an environmental parameter set by the driver in the vehicle according to the setting behavior of the driver's environment parameter in the vehicle, where the environmental parameter includes at least: a driving mode of the vehicle and a temperature parameter of the air conditioner.
- the identity information of the person is stored in association with the corresponding scene mode.
- the embodiment further includes a solution for obtaining the driver's setting habits for the environment parameters in the vehicle by learning.
- the identity information of the current driver is identified; the identity information includes at least: a driver's avatar, a fingerprint, an iris, and the like.
- the environmental parameter set by the driver to the vehicle is obtained, wherein the environmental parameter may include: a driving mode of the vehicle, a temperature parameter of the air conditioner, and a sound size of the sound. And/or a song that is often listened to, as a setting habit of the driver's environment parameters in the vehicle, and acquiring a current corresponding scene mode, setting the driver's setting habits to the environment parameters of the vehicle, and the driver's identity information and The corresponding scene mode is associated with the storage.
- a learning unit or a learning module is set in the vehicle in advance, and corresponding learning is performed according to the driver's habits, such as the temperature of the air conditioner in the vehicle, the temperature adjustment, the sound volume of the sound, and the listening sound. Broadcast program settings, frequently heard songs, etc.
- the learning unit recognizes that the driver is driving the vehicle, the learning unit automatically adjusts the interior environment according to the past driver's habits, making the driver more comfortable and safer to drive. .
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Abstract
一种车内环境自动调节方法及装置，其方法包括：在监测到驾驶者驾驶车辆时，获取当前场景模式，以及预先学习的所述驾驶者对车内环境参数的设置习惯；根据所述当前场景模式，以及预先学习的所述驾驶者对车内环境参数的设置习惯，自动调节车内的相关环境参数。该装置可以根据驾驶者习惯进行车内环境学习，当驾驶者驾驶车辆时，根据不同的场景，对车内环境参数进行自动设置或调节，使驾车者开车更舒适、更安全。
Description
技术领域
本发明涉及车辆监控技术领域，尤其涉及一种车内环境自动调节方法及装置。
背景技术
目前，车内环境的调节，比如空调设置、节目设置等主要是通过车主自已手动调节，但是，这种调节方式，使得车主在开车时，由于手离开方向盘，且精神不集中在驾驶上，易造成车祸。
发明内容
本发明的主要目的在于提供一种车内环境自动调节方法及装置，旨在实现车内环境参数的自动设置，提高车辆驾驶安全性。
为实现上述目的，本发明提供的一种车内环境自动调节方法，包括：
在监测到驾驶者驾驶车辆时，获取当前场景模式，以及预先学习的所述驾驶者对车内环境参数的设置习惯；
根据所述当前场景模式，以及预先学习的所述驾驶者对车内环境参数的设置习惯，自动调节车内的相关环境参数。
可选地，所述在监测到驾驶者驾驶车辆时，获取当前场景模式，以及预先学习的所述驾驶者对车内环境参数的设置习惯的步骤之前还包括：
在预设周期内，在车辆驾驶过程中，监测驾驶者对车内环境参数的设置行为，并获取对应的场景模式；
根据所述驾驶者对车内环境参数的设置行为，对对应场景模式下的车内环境参数进行学习，得到所述驾驶者对车内环境参数的设置习惯。
可选地，所述在预设周期内，在车辆驾驶过程中，监测驾驶者对车内环境参数的设置行为，并获取对应的场景模式的步骤包括：
在预设周期内，在车辆驾驶过程中，识别当前驾驶者的身份信息；所述身份信息至少包括：驾驶者的头像、指纹、虹膜其中之一；
监测驾驶者对车内环境参数的设置行为，并获取对应的场景模式；
所述根据所述驾驶者对车内环境参数的设置行为，对对应场景模式下的车内环境参数进行学习，得到所述驾驶者对车内环境参数的设置习惯的步骤包括：
根据所述驾驶者对车内环境参数的设置行为，获取所述驾驶者对车内设置的环境参数，所述环境参数至少包括：车辆驾驶模式、空调温度参数、音响的声音大小和/或常听的歌曲，作为所述驾驶者对车内环境参数的设置习惯，并获取当前对应的场景模式，将所述驾驶者对车内环境参数的设置习惯、驾驶者的身份信息与对应的场景模式关联存储。
可选地，所述场景模式至少包括：上下班驾驶时间段或业余驾驶时间段。
可选地，所述场景模式还包括：夏季模式和冬季模式。
可选地，所述在监测到驾驶者驾驶车辆时，获取当前场景模式，以及预先学习的所述驾驶者对车内环境参数的设置习惯的步骤包括：
在监测到驾驶者驾驶车辆时，识别驾驶者的身份信息，获取当前场景模式，以及预先学习的所述驾驶者对车内环境参数的设置习惯；
所述根据所述当前场景模式，以及预先学习的所述驾驶者对车内环境参数的设置习惯，自动调节车内的相关环境参数的步骤包括：
根据当前场景模式以及所述驾驶者的身份信息，查找与所述当前场景模式及所述驾驶者的身份信息关联的预先学习的所述驾驶者对车内环境参数的设置习惯，得到当前场景模式下，所述驾驶者习惯设置的车内环境参数，并根据所述驾驶者习惯设置的车内环境参数，自动调节车内的相关环境参数。
本发明实施例还提出一种车内环境自动调节装置，包括：
习惯数据获取模块，用于在监测到驾驶者驾驶车辆时，获取当前场景模式，以及预先学习的所述驾驶者对车内环境参数的设置习惯；
调节模块，用于根据所述当前场景模式，以及预先学习的所述驾驶者对车内环境参数的设置习惯，自动调节车内的相关环境参数。
可选地，所述装置还包括：
监测模块，用于在预设周期内，在车辆驾驶过程中，监测驾驶者对车内环境参数的设置行为，并获取对应的场景模式；
学习模块，用于根据所述驾驶者对车内环境参数的设置行为，对对应场景模式下的车内环境参数进行学习，得到所述驾驶者对车内环境参数的设置习惯。
可选地，所述监测模块，还用于在预设周期内，在车辆驾驶过程中，识别当前驾驶者的身份信息；所述身份信息至少包括：驾驶者的头像、指纹、虹膜其中之一；监测驾驶者对车内环境参数的设置行为，并获取对应的场景模式；
所述学习模块，还用于根据所述驾驶者对车内环境参数的设置行为，获取所述驾驶者对车内设置的环境参数，所述环境参数至少包括：车辆驾驶模式、空调温度参数、音响的声音大小和/或常听的歌曲，作为所述驾驶者对车内环境参数的设置习惯，并获取当前对应的场景模式，将所述驾驶者对车内环境参数的设置习惯、驾驶者的身份信息与对应的场景模式关联存储。
可选地，所述场景模式至少包括：上下班驾驶时间段或业余驾驶时间段。
可选地，所述场景模式还包括：夏季模式和冬季模式。
可选地，所述习惯数据获取模块，还用于在监测到驾驶者驾驶车辆时，识别驾驶者的身份信息，获取当前场景模式，以及预先学习的所述驾驶者对车内环境参数的设置习惯；
所述调节模块，还用于根据当前场景模式以及所述驾驶者的身份信息，查找与所述当前场景模式及所述驾驶者的身份信息关联的预先学习的所述驾驶者对车内环境参数的设置习惯，得到当前场景模式下，所述驾驶者习惯设置的车内环境参数，并根据所述驾驶者习惯设置的车内环境参数，自动调节车内的相关环境参数。
本发明提出的一种车内环境自动调节方法及装置，在监测到驾驶者驾驶车辆时，获取当前场景模式，以及预先学习的所述驾驶者对车内环境参数的设置习惯；根据所述当前场景模式，以及预先学习的所述驾驶者对车内环境参数的设置习惯，自动调节车内的相关环境参数，由此，可以通过在车内设一学习单元或学习模块，根据驾驶者习惯进行车内环境学习，当驾驶者驾驶车辆时，根据不同的场景，对车内环境参数进行自动设置或调节，使驾车者开车更安全。
附图说明
图1为本发明车内环境自动调节方法第一实施例的流程示意图；
图2为本发明车内环境自动调节方法第二实施例的流程示意图；
图3为本发明车内环境自动调节装置第一实施例的功能模块示意图；
图4为本发明车内环境自动调节装置第二实施例的功能模块示意图。
本发明目的的实现、功能特点及优点将结合实施例，参照附图做进一步说明。
为了使本发明的技术方案更加清楚、明了，下面将结合附图作进一步详述。
具体实施方式
应当理解，此处所描述的具体实施例仅仅用以解释本发明，并不用于限定本发明。
本发明实施例的主要解决方案是：在监测到驾驶者驾驶车辆时，获取当前场景模式，以及预先学习的所述驾驶者对车内环境参数的设置习惯；根据所述当前场景模式，以及预先学习的所述驾驶者对车内环境参数的设置习惯，自动调节车内的相关环境参数，由此，可以通过在车内设一学习单元或学习模块，根据驾驶者习惯进行车内环境学习，当驾驶者驾驶车辆时，根据不同的场景，对车内环境参数进行自动设置，使驾车者开车更安全。
由于现有技术中，车内环境的调节，比如空调设置、节目设置等主要是通过车主自已手动调节，但是，这种调节方式，使得车主在开车时，由于手离开方向盘，且精神不集中在驾驶上，易造成车祸。
本发明提供一种解决方案，可以实现车内环境参数的自动设置，提高车辆驾驶安全性。
具体地，如图1所示，本发明第一实施例提出一种车内环境自动调节方法，包括：
步骤S101，在监测到驾驶者驾驶车辆时，获取当前场景模式，以及预先学习的所述驾驶者对车内环境参数的设置习惯；
本实施例方案主要解决车内环境参数的自动设置，以提高车辆驾驶安全性。
本实施例方法的执行主体可以为车载终端或车载单元，也可以为用户手持设备（比如手机、平板电脑等移动终端），还可以为网络服务器或云端服务器。此外，还可以为一种车内环境自动调节装置，该装置可以设置于上述终端或服务器上。
具体地，在监测到驾驶者驾驶车辆时，获取当前场景模式，以及预先学习的所述驾驶者对车内环境参数的设置习惯。
其中，场景模式可以根据实际情况分为多种，考虑到车主通常在工作时间段（比如上班时间和下班时间）开车时，时间比较紧张，没有太多时间设置车内环境参数，而且所听歌曲可能偏向于激进或舒缓型（因人而异），因此，可以设置上下班驾驶时间段和业余驾驶时间段两种场景模式。
此外，根据季节的不同，也会设置不同的车内环境参数，比如空调制冷温度或制热温度。因此，场景模式还可以分为夏季模式和冬季模式。
本实施例中，预先根据驾驶者对车内环境参数的设置习惯，进行相应的学习，并存储有驾驶者对车内环境参数的设置习惯数据，以便后续，可以直接根据驾驶者的习惯设置参数来设置车内环境参数，避免用户每次启动车辆后，需要实时手动调节车内参数，导致因精神不集中在驾驶上而易造成车祸的隐患。
进一步地，考虑到每个驾驶者的使用习惯不一样，因此，还可以针对不同的驾驶者，采集对应驾驶者的车内设置参数。
具体地，可以在车内设一学习单元，根据驾驶者的对车内环境参数的使用习惯，进行相应的学习，比如车内空调温度的高低，温度的调节，音响的声音大小，常听的广播节目设置，常听的歌曲等，并将学习数据对应驾驶者身份进行存储。在具体实现时，当监测到驾驶者驾驶车辆时，首先识别驾驶者的身份信息，获取当前场景模式，判断当前场景模式属于冬季模式还是夏季模式，或者，判断当前场景模式属于上下班驾驶时间段还是业余驾驶时间段；同时，还要获取预先学习的所述驾驶者对车内环境参数的设置习惯，即当前场景模式下，该驾驶者习惯使用的空调温度高低、音响音量大小等环境参数。
其中，在识别驾驶者的身份信息时，可以通过车内摄像头或车载终端或车载单元，或者用户的移动终端，获取用户的头像、虹膜等信息，还可以通过设置在方向盘或车内其他部件上的指纹识别器识别用户的指纹信息，以获得用户的身份信息。
步骤S102，根据所述当前场景模式，以及预先学习的所述驾驶者对车内环境参数的设置习惯，自动调节车内的相关环境参数。
具体实现时，可以根据当前场景模式以及所述驾驶者的身份信息，查找与所述当前场景模式以及该驾驶者身份信息关联的预先学习的所述驾驶者对车内环境参数的设置习惯，得到当前场景模式下，所述驾驶者习惯设置的车内环境参数，并根据所述驾驶者习惯设置的车内环境参数，自动调节车内的相关环境参数。
本实施例通过上述方案，在监测到驾驶者驾驶车辆时，获取当前场景模式，以及预先学习的所述驾驶者对车内环境参数的设置习惯；根据所述当前场景模式，以及预先学习的所述驾驶者对车内环境参数的设置习惯，自动调节车内的相关环境参数，由此，可以在车内设置一学习单元，根据驾驶者的习惯，进行相应的学习，比如车内空调温度的高低，温度的调节，音响的声音大小，常听的广播节目设置，常听的歌曲等，当学习单元识别到该驾驶员驾驶车辆时，学习单元根据以往驾驶员的习惯，对车内环境进行相应的自动调节，使驾驶员驾驶更舒适，更安全。
如图2所示，本发明第二实施例提出一种车内环境自动调节方法，基于上述图1所示的实施例，在上述步骤S101：在监测到驾驶者驾驶车辆时，获取当前场景模式，以及预先学习的所述驾驶者对车内环境参数的设置习惯之前还包括：
步骤S90，在预设周期内，在车辆驾驶过程中，监测驾驶者对车内环境参数的设置行为，并获取对应的场景模式；
步骤S100，根据所述驾驶者对车内环境参数的设置行为，对对应场景模式下的车内环境参数进行学习，得到所述驾驶者对车内环境参数的设置习惯。
相比上述实施例，本实施例还包括通过学习得到驾驶者对车内环境参数的设置习惯的方案。
具体地，首先，在预设周期内，在车辆驾驶过程中，识别当前驾驶者的身份信息；所述身份信息至少包括：驾驶者的头像、指纹、虹膜等。
然后，监测驾驶者对车内环境参数的设置行为，并获取对应的场景模式。
最后，根据所述驾驶者对车内环境参数的设置行为，获取所述驾驶者对车内设置的环境参数，其中，所述环境参数可以包括：车辆驾驶模式、空调温度参数、音响的声音大小和/或常听的歌曲，作为所述驾驶者对车内环境参数的设置习惯，并获取当前对应的场景模式，将所述驾驶者对车内环境参数的设置习惯、驾驶者的身份信息与对应的场景模式关联存储。
本实施例通过上述方案，预先在车内设置一学习单元或学习模块，根据驾驶者的习惯，进行相应的学习，比如车内空调温度的高低，温度的调节，音响的声音大小，常听的广播节目设置，常听的歌曲等，当学习单元识别到该驾驶员驾驶车辆时，学习单元根据以往驾驶员的习惯，对车内环境进行相应的自动调节，使驾驶员驾驶更舒适，更安全。
如图3所示，本发明第一实施例提出一种车内环境自动调节装置，包括：习惯数据获取模块201及调节模块202，其中：
习惯数据获取模块201，用于在监测到驾驶者驾驶车辆时，获取当前场景模式，以及预先学习的所述驾驶者对车内环境参数的设置习惯；
调节模块202，用于根据所述当前场景模式，以及预先学习的所述驾驶者对车内环境参数的设置习惯，自动调节车内的相关环境参数。
进一步地，所述习惯数据获取模块，还用于在监测到驾驶者驾驶车辆时，识别驾驶者的身份信息，获取当前场景模式，以及预先学习的所述驾驶者对车内环境参数的设置习惯；
所述调节模块202，还用于根据当前场景模式以及所述驾驶者的身份信息，查找与所述当前场景模式及所述驾驶者的身份信息关联的预先学习的所述驾驶者对车内环境参数的设置习惯，得到当前场景模式下，所述驾驶者习惯设置的车内环境参数，并根据所述驾驶者习惯设置的车内环境参数，自动调节车内的相关环境参数。
本实施例方案主要解决车内环境参数的自动设置，以提高车辆驾驶安全性。
本实施例车内环境自动调节装置可以设置在车载终端或车载单元上，也可以设置在用户手持设备（比如手机、平板电脑等移动终端），还可以设置在网络服务器或云端服务器上。
具体地，在监测到驾驶者驾驶车辆时，获取当前场景模式，以及预先学习的所述驾驶者对车内环境参数的设置习惯。
其中，场景模式可以根据实际情况分为多种，考虑到车主通常在工作时间段（比如上班时间和下班时间）开车时，时间比较紧张，没有太多时间设置车内环境参数，而且所听歌曲可能偏向于激进或舒缓型（因人而异），因此，可以设置上下班驾驶时间段和业余驾驶时间段两种场景模式。
此外，根据季节的不同，也会设置不同的车内环境参数，比如空调制冷温度或制热温度。因此，场景模式还可以分为夏季模式和冬季模式。
本实施例中，预先根据驾驶者对车内环境参数的设置习惯，进行相应的学习，并存储有驾驶者对车内环境参数的设置习惯数据，以便后续，可以直接根据驾驶者的习惯设置参数来设置车内环境参数，避免用户每次启动车辆后，需要实时手动调节车内参数，导致因精神不集中在驾驶上而易造成车祸的隐患。
进一步地，考虑到每个驾驶者的使用习惯不一样，因此，还可以针对不同的驾驶者，采集对应驾驶者的车内设置参数。
具体地，可以在车内设一学习单元，根据驾驶者的对车内环境参数的使用习惯，进行相应的学习，比如车内空调温度的高低，温度的调节，音响的声音大小，常听的广播节目设置，常听的歌曲等，并将学习数据对应驾驶者身份进行存储。在具体实现时，当监测到驾驶者驾驶车辆时，首先识别驾驶者的身份信息，获取当前场景模式，判断当前场景模式属于冬季模式还是夏季模式，或者，判断当前场景模式属于上下班驾驶时间段还是业余驾驶时间段；同时，还要获取预先学习的所述驾驶者对车内环境参数的设置习惯，即当前场景模式下，该驾驶者习惯使用的空调温度高低、音响音量大小等环境参数。
其中，在识别驾驶者的身份信息时，可以通过车内摄像头或车载终端或车载单元，或者用户的移动终端，获取用户的头像、虹膜等信息，还可以通过设置在方向盘或车内其他部件上的指纹识别器识别用户的指纹信息，以获得用户的身份信息。
然后，根据所述当前场景模式，以及预先学习的所述驾驶者对车内环境参数的设置习惯，自动调节车内的相关环境参数。
具体实现时，可以根据当前场景模式以及所述驾驶者的身份信息，查找与所述当前场景模式以及该驾驶者身份信息关联的预先学习的所述驾驶者对车内环境参数的设置习惯，得到当前场景模式下，所述驾驶者习惯设置的车内环境参数，并根据所述驾驶者习惯设置的车内环境参数，自动调节车内的相关环境参数。
本实施例通过上述方案，在监测到驾驶者驾驶车辆时，获取当前场景模式，以及预先学习的所述驾驶者对车内环境参数的设置习惯；根据所述当前场景模式，以及预先学习的所述驾驶者对车内环境参数的设置习惯，自动调节车内的相关环境参数，由此，可以在车内设置一学习单元，根据驾驶者的习惯，进行相应的学习，比如车内空调温度的高低，温度的调节，音响的声音大小，常听的广播节目设置，常听的歌曲等，当学习单元识别到该驾驶员驾驶车辆时，学习单元根据以往驾驶员的习惯，对车内环境进行相应的自动调节，使驾驶员驾驶更舒适，更安全。
如图4所示，本发明第二实施例提出一种车内环境自动调节装置，基于上述图3所示的实施例，所述装置还包括：
监测模块203，用于在预设周期内，在车辆驾驶过程中，监测驾驶者对车内环境参数的设置行为，并获取对应的场景模式；
学习模块204，用于根据所述驾驶者对车内环境参数的设置行为，对对应场景模式下的车内环境参数进行学习，得到所述驾驶者对车内环境参数的设置习惯。
进一步地，所述监测模块203，还用于在预设周期内，在车辆驾驶过程中，识别当前驾驶者的身份信息；所述身份信息至少包括：驾驶者的头像、指纹、虹膜其中之一；监测驾驶者对车内环境参数的设置行为，并获取对应的场景模式；
所述学习模块204，还用于根据所述驾驶者对车内环境参数的设置行为，获取所述驾驶者对车内设置的环境参数，所述环境参数至少包括：车辆驾驶模式、空调温度参数、音响的声音大小和/或常听的歌曲，作为所述驾驶者对车内环境参数的设置习惯，并获取当前对应的场景模式，将所述驾驶者对车内环境参数的设置习惯、驾驶者的身份信息与对应的场景模式关联存储。
相比上述实施例，本实施例还包括通过学习得到驾驶者对车内环境参数的设置习惯的方案。
具体地，首先，在预设周期内，在车辆驾驶过程中，识别当前驾驶者的身份信息；所述身份信息至少包括：驾驶者的头像、指纹、虹膜等。
然后，监测驾驶者对车内环境参数的设置行为，并获取对应的场景模式。
最后，根据所述驾驶者对车内环境参数的设置行为，获取所述驾驶者对车内设置的环境参数，其中，所述环境参数可以包括：车辆驾驶模式、空调温度参数、音响的声音大小和/或常听的歌曲，作为所述驾驶者对车内环境参数的设置习惯，并获取当前对应的场景模式，将所述驾驶者对车内环境参数的设置习惯、驾驶者的身份信息与对应的场景模式关联存储。
本实施例通过上述方案，预先在车内设置一学习单元或学习模块，根据驾驶者的习惯，进行相应的学习，比如车内空调温度的高低，温度的调节，音响的声音大小，常听的广播节目设置，常听的歌曲等，当学习单元识别到该驾驶员驾驶车辆时，学习单元根据以往驾驶员的习惯，对车内环境进行相应的自动调节，使驾驶员驾驶更舒适，更安全。
以上所述仅为本发明的优选实施例，并非因此限制本发明的专利范围，凡是利用本发明说明书及附图内容所作的等效结构或流程变换，或直接或间接运用在其它相关的技术领域，均同理包括在本发明的专利保护范围内。
Claims (16)
- 一种车内环境自动调节方法，其特征在于，包括：在监测到驾驶者驾驶车辆时，获取当前场景模式，以及预先学习的所述驾驶者对车内环境参数的设置习惯；根据所述当前场景模式，以及预先学习的所述驾驶者对车内环境参数的设置习惯，自动调节车内的相关环境参数。
- 根据权利要求1所述的车内环境自动调节方法，其特征在于，所述在监测到驾驶者驾驶车辆时，获取当前场景模式，以及预先学习的所述驾驶者对车内环境参数的设置习惯的步骤之前还包括：在预设周期内，在车辆驾驶过程中，监测驾驶者对车内环境参数的设置行为，并获取对应的场景模式；根据所述驾驶者对车内环境参数的设置行为，对对应场景模式下的车内环境参数进行学习，得到所述驾驶者对车内环境参数的设置习惯。
- 根据权利要求2所述的车内环境自动调节方法，其特征在于，所述在预设周期内，在车辆驾驶过程中，监测驾驶者对车内环境参数的设置行为，并获取对应的场景模式的步骤包括：在预设周期内，在车辆驾驶过程中，识别当前驾驶者的身份信息；所述身份信息至少包括：驾驶者的头像、指纹、虹膜其中之一；监测驾驶者对车内环境参数的设置行为，并获取对应的场景模式；所述根据所述驾驶者对车内环境参数的设置行为，对对应场景模式下的车内环境参数进行学习，得到所述驾驶者对车内环境参数的设置习惯的步骤包括：根据所述驾驶者对车内环境参数的设置行为，获取所述驾驶者对车内设置的环境参数，所述环境参数至少包括：车辆驾驶模式、空调温度参数、音响的声音大小和/或常听的歌曲，作为所述驾驶者对车内环境参数的设置习惯，并获取当前对应的场景模式，将所述驾驶者对车内环境参数的设置习惯、驾驶者的身份信息与对应的场景模式关联存储。
- 根据权利要求1所述的车内环境自动调节方法，其特征在于，所述场景模式至少包括：上下班驾驶时间段或业余驾驶时间段。
- 根据权利要求2所述的车内环境自动调节方法，其特征在于，所述场景模式至少包括：上下班驾驶时间段或业余驾驶时间段。
- 根据权利要求3所述的车内环境自动调节方法，其特征在于，所述场景模式至少包括：上下班驾驶时间段或业余驾驶时间段。
- 根据权利要求4所述的车内环境自动调节方法，其特征在于，所述场景模式还包括：夏季模式和冬季模式。
- 根据权利要求4所述的车内环境自动调节方法，其特征在于，所述在监测到驾驶者驾驶车辆时，获取当前场景模式，以及预先学习的所述驾驶者对车内环境参数的设置习惯的步骤包括：在监测到驾驶者驾驶车辆时，识别驾驶者的身份信息，获取当前场景模式，以及预先学习的所述驾驶者对车内环境参数的设置习惯；所述根据所述当前场景模式，以及预先学习的所述驾驶者对车内环境参数的设置习惯，自动调节车内的相关环境参数的步骤包括：根据当前场景模式以及所述驾驶者的身份信息，查找与所述当前场景模式及所述驾驶者的身份信息关联的预先学习的所述驾驶者对车内环境参数的设置习惯，得到当前场景模式下，所述驾驶者习惯设置的车内环境参数，并根据所述驾驶者习惯设置的车内环境参数，自动调节车内的相关环境参数。
- 一种车内环境自动调节装置，其特征在于，包括：习惯数据获取模块，用于在监测到驾驶者驾驶车辆时，获取当前场景模式，以及预先学习的所述驾驶者对车内环境参数的设置习惯；调节模块，用于根据所述当前场景模式，以及预先学习的所述驾驶者对车内环境参数的设置习惯，自动调节车内的相关环境参数。
- 根据权利要求9所述的车内环境自动调节装置，其特征在于，所述装置还包括：监测模块，用于在预设周期内，在车辆驾驶过程中，监测驾驶者对车内环境参数的设置行为，并获取对应的场景模式；学习模块，用于根据所述驾驶者对车内环境参数的设置行为，对对应场景模式下的车内环境参数进行学习，得到所述驾驶者对车内环境参数的设置习惯。
- 根据权利要求10所述的车内环境自动调节装置，其特征在于，所述监测模块，还用于在预设周期内，在车辆驾驶过程中，识别当前驾驶者的身份信息；所述身份信息至少包括：驾驶者的头像、指纹、虹膜其中之一；监测驾驶者对车内环境参数的设置行为，并获取对应的场景模式；所述学习模块，还用于根据所述驾驶者对车内环境参数的设置行为，获取所述驾驶者对车内设置的环境参数，所述环境参数至少包括：车辆驾驶模式、空调温度参数、音响的声音大小和/或常听的歌曲，作为所述驾驶者对车内环境参数的设置习惯，并获取当前对应的场景模式，将所述驾驶者对车内环境参数的设置习惯、驾驶者的身份信息与对应的场景模式关联存储。
- 根据权利要求9所述的车内环境自动调节装置，其特征在于，所述场景模式至少包括：上下班驾驶时间段或业余驾驶时间段。
- 根据权利要求10所述的车内环境自动调节装置，其特征在于，所述场景模式至少包括：上下班驾驶时间段或业余驾驶时间段。
- 根据权利要求11所述的车内环境自动调节装置，其特征在于，所述场景模式至少包括：上下班驾驶时间段或业余驾驶时间段。
- 根据权利要求12所述的车内环境自动调节装置，其特征在于，所述场景模式还包括：夏季模式和冬季模式。
- 根据权利要求12所述的车内环境自动调节装置，其特征在于，所述习惯数据获取模块，还用于在监测到驾驶者驾驶车辆时，识别驾驶者的身份信息，获取当前场景模式，以及预先学习的所述驾驶者对车内环境参数的设置习惯；所述调节模块，还用于根据当前场景模式以及所述驾驶者的身份信息，查找与所述当前场景模式及所述驾驶者的身份信息关联的预先学习的所述驾驶者对车内环境参数的设置习惯，得到当前场景模式下，所述驾驶者习惯设置的车内环境参数，并根据所述驾驶者习惯设置的车内环境参数，自动调节车内的相关环境参数。
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