CN115649095A - Data processing method and related device for baby sleeping event in vehicle cabin - Google Patents
Data processing method and related device for baby sleeping event in vehicle cabin Download PDFInfo
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Abstract
The application provides a data processing method and a related device of a vehicle cabin aiming at a baby sleeping event, which are applied to an intelligent cabin domain controller of an intelligent cabin system of a vehicle, wherein the method comprises the following steps: detecting a sleep event of the infant through the sensor module; responding to the infant sleeping event, and acquiring the motion state and the environmental scene of the vehicle; if the motion state of the vehicle is the driving state and the environment scene is the outdoor lane, collecting multiple groups of driving data of the vehicle; and determining target driving data adapted to the infant sleeping event according to the multiple groups of driving data. This application is through gathering the relevant data of vehicle driving in-process, and the relevant data of confirming adaptation baby sleep state is in order to adjust the state of the interior smart machine of cockpit, improves the comprehensiveness and the intellectuality of the baby sleep incident of the intelligent passenger cabin system processing under the different vehicle states of vehicle, promotes the stability of baby sleep in the vehicle passenger cabin.
Description
Technical Field
The application belongs to the technical field of general data processing in the Internet industry, and particularly relates to a data processing method and a related device for a baby sleeping event in a vehicle cabin.
Background
The intelligent cabin is a mainstream application in the field of automobile cabins, and the intelligent cabin comprises an in-vehicle driving and taking space equipped with intelligent and networking equipment, so that the intelligent interactive cabin can be intelligently interacted with people, roads and vehicles, is an important tie and key nodes for the evolution of a human-vehicle relationship from a tool to a partner, and can bring more efficient and convenient driving experience for drivers and passengers.
At present, when an infant is in a sleep state, vibration and environmental noise in the driving process of a vehicle can form a sleep background environment in the subconscious of the infant, if the state changes, the infant can sense sudden environmental change and awaken, and the infant cannot be ensured to be in a stable sleep state in the driving process.
Disclosure of Invention
The application provides a data processing method and a related product of a vehicle cabin aiming at a baby sleeping event, so that comprehensiveness and intelligence of an intelligent cabin system of a vehicle for processing the baby sleeping event in different vehicle states are improved, influence on baby sleeping caused by change of a vehicle running scene is reduced, and stability of baby sleeping in the vehicle cabin is improved.
In a first aspect, an embodiment of the present application provides a data processing method for a vehicle cabin for an infant sleep event, which is applied to an intelligent cabin domain controller of an intelligent cabin system of a vehicle, and the method includes:
detecting an infant sleeping event through the sensor module, wherein the infant sleeping event refers to that an infant above the intelligent safety seat is in a sleeping state;
responding to the infant sleeping event, and acquiring a motion state and an environment scene of the vehicle, wherein the motion state comprises a driving state and a parking state, and the environment scene comprises an outdoor lane and an indoor parking lot; and the number of the first and second groups,
if the motion state of the vehicle is the driving state and the environment scene is the outdoor lane, collecting multiple groups of driving data of the vehicle, wherein the driving data comprise vibration data of the vehicle and sound data in an cabin of the vehicle, the intelligent safety seat is in a non-vibration mode, and a loudspeaker in the cabin is in a mute state; determining target driving data adapted to the infant sleeping event according to the multiple groups of driving data;
if the motion state of the vehicle is changed from the driving state to the parking state and the environment scene keeps the outdoor lane, adjusting the intelligent safety seat according to the target driving data to keep the cabin adaptive to the infant sleeping event, wherein the intelligent safety seat is in a vibration mode;
if the motion state of the vehicle keeps the driving state and the environment scene is changed from the outdoor lane to the indoor parking lot, adjusting the working state of the loudspeaker according to the target driving data to keep the cabin adaptive to the infant sleeping event;
if the motion state of the vehicle is changed from the driving state to the parking state and the environment scene is changed from the outdoor lane to the indoor parking lot, adjusting the working states of the intelligent safety seat and the loudspeaker according to the target driving data so as to keep the cabin adaptive to the infant sleeping event.
In a second aspect, an embodiment of the present application provides a data processing apparatus for a vehicle cabin for a baby sleep event, which is applied to an intelligent cabin domain controller of an intelligent cabin system of a vehicle, and the apparatus includes:
the detection unit is used for detecting an infant sleeping event through the sensor module, wherein the infant sleeping event refers to that an infant above the intelligent safety seat is in a sleeping state;
responding to the infant sleeping event, and acquiring a motion state and an environment scene of the vehicle, wherein the motion state comprises a driving state and a parking state, and the environment scene comprises an outdoor lane and an indoor parking lot; and the number of the first and second groups,
the intelligent safety seat comprises a collecting unit, a processing unit and a control unit, wherein the collecting unit is used for collecting multiple groups of running data of the vehicle if the motion state of the vehicle is the running state and the environment scene is the outdoor lane, the running data comprises vibration data of the vehicle and sound data in an cabin of the vehicle, the intelligent safety seat is in a non-vibration mode, and a loudspeaker in the cabin is in a mute state; determining target driving data which are adapted to the infant sleeping event according to the multiple groups of driving data;
an adjusting unit, configured to adjust the smart safety seat according to the target driving data to keep the cabin adapted to the infant sleeping event if the motion state of the vehicle changes from the driving state to the parking state and the environmental scene keeps the outdoor lane, where the smart safety seat is in a vibration mode;
if the motion state of the vehicle keeps the driving state and the environment scene is changed from the outdoor lane to the indoor parking lot, adjusting the working state of the loudspeaker according to the target driving data to keep the cabin adaptive to the infant sleeping event;
if the motion state of the vehicle is changed from the driving state to the parking state and the environment scene is changed from the outdoor lane to the indoor parking lot, adjusting the working states of the intelligent safety seat and the loudspeaker according to the target driving data so as to keep the cabin adaptive to the infant sleeping event.
In a third aspect, an embodiment of the present application provides an electronic device, including a processor, a memory, a communication interface, and one or more programs, where the one or more programs are stored in the memory and configured to be executed by the processor, and the program includes instructions for executing the steps in the first aspect of the embodiment of the present application.
In a fourth aspect, an embodiment of the present application provides a computer-readable storage medium, where the computer-readable storage medium stores a computer program for electronic data exchange, where the computer program enables a computer to perform some or all of the steps described in the first aspect of the embodiment of the present application.
In a fifth aspect, the present application provides a computer program product, wherein the computer program product includes a non-transitory computer-readable storage medium storing a computer program, and the computer program is operable to cause a computer to perform some or all of the steps as described in any one of the methods of the first aspect of the embodiments of the present application. The computer program product may be a software installation package.
It can be seen that, in the embodiment of the application, a sensor module in an intelligent cabin system detects that an infant on an intelligent safety seat in a cabin is in a sleep state in a vehicle running process, then collects running data, determines a set of target data adapted to the sleep of the infant from the plurality of sets of running data, and adjusts the cabin according to the target data according to the change of a vehicle running scene so as to adapt to the sleep state of the infant. Through collecting relevant data in the vehicle driving process, relevant data adaptive to the infant sleeping state are determined to adjust the working state of the intelligent device in the cabin, the comprehensiveness and intelligence of the intelligent cabin system of the vehicle for processing infant sleeping events in different vehicle states are improved, the influence on infant sleeping caused by the change of the vehicle driving scene is reduced, and the stability of infant sleeping in the vehicle cabin is improved.
Drawings
In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present application, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.
Fig. 1 is a schematic structural diagram of an electronic device according to an embodiment of the present disclosure;
fig. 2 is a schematic diagram of an intelligent cabin system provided in an embodiment of the present application;
FIG. 3 is a schematic flow chart of a data processing method for a vehicle cabin for an infant sleep event according to an embodiment of the present application;
FIG. 4a is a schematic diagram of a sleep level and time distribution according to an embodiment of the present application;
FIG. 4b is a schematic view of a door notification lamp according to an embodiment of the present disclosure;
FIG. 5a is a block diagram of functional units of a data processing device of a vehicle cabin for an infant sleep event according to an embodiment of the present application;
fig. 5b is a block diagram of functional units of another data processing device of a vehicle cabin for an infant sleep event according to an embodiment of the present application.
Detailed Description
In order to make the technical solutions of the present application better understood, 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, and it is obvious that the described embodiments are only a part of the embodiments of the present application, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
The terms "first," "second," and the like in the description and claims of the present application and in the above-described drawings are used for distinguishing between different objects and not for describing a particular order. Furthermore, the terms "include" and "have," as well as any variations thereof, are intended to cover non-exclusive inclusions. For example, a process, method, system, article, or apparatus that comprises a list of steps or elements is not limited to only those steps or elements listed, but may alternatively include other steps or elements not listed, or inherent to such process, method, article, or apparatus.
Reference herein to "an embodiment" means that a particular feature, structure, or characteristic described in connection with the embodiment can be included in at least one embodiment of the application. The appearances of the phrase in various places in the specification are not necessarily all referring to the same embodiment, nor are separate or alternative embodiments mutually exclusive of other embodiments. It is explicitly and implicitly understood by one skilled in the art that the embodiments described herein can be combined with other embodiments.
For a better understanding of aspects of embodiments of the present application, an electronic device, related concepts and contexts to which embodiments of the present application may relate are described below.
The electronic devices involved in the embodiments of the present application may include various handheld devices, vehicle-mounted devices, wearable devices, computing devices or other processing devices connected to a wireless modem with wireless communication functions, as well as various forms of User Equipment (UE), mobile Stations (MS), terminal equipment (terminal device), and so on. For convenience of description, the above-mentioned devices are collectively referred to as electronic devices.
Referring to fig. 1, fig. 1 is a schematic structural diagram of an electronic device according to an embodiment of the present disclosure. As shown in fig. 1, the electronic device includes one or more application processors 120, a memory 130, a communication module 140, and one or more programs 131, and the application processors 120 are communicatively connected to the memory 130 and the communication module 140 through an internal communication bus.
Wherein the one or more programs 131 are stored in the memory 130 and configured to be executed by the application processor 120, the one or more programs 131 comprising instructions for performing any of the steps of the method embodiments. The electronic device may be an intelligent cockpit domain controller according to an embodiment of the present application.
The Application Processor 120 may be, for example, a Central Processing Unit (CPU), a general purpose Processor, a Digital Signal Processor (DSP), an Application-Specific Integrated Circuit (ASIC), a Field Programmable Gate Array (FPGA), other Programmable logic devices (Programmable Gate Array), a transistor logic device, a hardware component, or any combination thereof. Which may implement or perform the various illustrative logical blocks, units, and circuits described in connection with the disclosure. The applications processor 120 may also be a combination that performs computing functions, including by way of example, one or more microprocessors, a combination of a DSP and a microprocessor, and the like. The communication unit may be the communication module 140, the transceiver, the transceiving circuit, etc., and the storage unit may be the memory 130.
The memory 130 may be either volatile memory or nonvolatile memory, or may include both volatile and nonvolatile memory. The non-volatile memory may be a read-only memory (ROM), a Programmable ROM (PROM), an Erasable PROM (EPROM), an electrically Erasable EPROM (EEPROM), or a flash memory. Volatile memory can be Random Access Memory (RAM), which acts as external cache memory. By way of example, but not limitation, many forms of Random Access Memory (RAM) are available, such as Static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double data rate SDRAM (DDR SDRAM), enhanced SDRAM (ESDRAM), synchlink DRAM (SLDRAM), and direct bus RAM (DR RAM).
Referring to fig. 2, fig. 2 is a schematic diagram of an intelligent cabin system 20 according to an embodiment of the present disclosure, where the intelligent cabin system 20 includes the intelligent cabin domain controller 210, an intelligent safety seat 220, and a sensor module 230.
The intelligent cabin domain controller 210 is configured to receive a sleeping state of a baby above the intelligent safety seat judged by the sensor module 230 through the bus 240, acquire a motion state and an environment scene of the vehicle through the sensor module 230 to collect related driving data of the baby in the sleeping state, control an intelligent device inside the cabin according to the related data, and adjust a working state according to the related data to adapt to a sleeping event of the baby, wherein the intelligent device inside the cabin includes the intelligent safety seat 220.
The sensor module 230 may include an external sensor for detecting information about a scene where the vehicle is located in real time and an internal sensor for measuring information about an internal environmental state of the vehicle. The external sensor may include at least one of an image sensor and an internal sensor mounted in front, side, and rear sides of the vehicle, and the like. Here, the information on the scene where the own vehicle is located may include a parking or driving state of the own vehicle, and an indoor or outdoor environment where the own vehicle is located.
The image sensor may collect image information around the vehicle captured by the optical system, and may perform image processing such as noise removal, image quality and saturation adjustment, and file compression on the image information.
The internal sensors may include speed sensors, acceleration sensors, steering angle sensors, and the like, which respectively measure the current vehicle speed, acceleration, steering angle, and the like of the vehicle, and may periodically collect information on the states of various actuators; and, the interior sensor may also include information to measure sound information, light intensity, etc. inside the cabin.
It can be seen that intelligence passenger cabin controller can be through receiving the information that the baby is in the sleep state, the motion state and the environmental scene information of the vehicle that the integrated analysis sensor module sent, and according to the relevant data of relevant information acquisition adaptation baby sleep state, then carry out work according to this data through the inside intelligent device of this data regulation intelligent safety seat and other passenger cabins, when having guaranteed that the vehicle external environment changes, the baby on the intelligent safety seat is in good sleep state steadily, can not awaken because of environmental change.
The following describes a data processing method of a vehicle cabin for an infant sleep event according to an embodiment of the present application.
Referring to fig. 3, fig. 3 is a schematic flow chart of a data processing method for a vehicle cabin for an infant sleep event according to an embodiment of the present application, where the method is applied to an intelligent cabin domain controller in an intelligent cabin system as shown in fig. 2. The intelligent cabin system comprises the intelligent cabin domain controller, an intelligent safety seat and a sensor module, wherein the intelligent cabin domain controller is respectively in communication connection with the intelligent safety seat and the sensor module, as shown in fig. 3, the method comprises the following steps:
In one possible example, the sensor module comprises a sleep monitoring sensor mounted on the smart safety seat; the detecting of the infant sleep event comprises: monitoring, by the sleep monitoring sensor, sleep data of an infant positioned above the smart safety seat, the sleep data including at least one of the following infant sleep data: heart rate, respiratory rate, and exercise intensity; determining that the infant is in a sleep state based on the sleep data.
Further, the sleep state of the infant is judged by the heart rate parameters, such as: for infants less than one year old, the average heart rate in the non-sleep state is generally 120 times/minute, the fluctuation range of the heart rate is 100-140 times/minute, the average heart rate of the infants in the non-sleep state is generally 100 times/minute, and the average heart rate is less than the heart rate in the waking state, and whether the infants are in the sleep state or not is judged in the above way. It should be understood that the sleep data is comprehensively analyzed and then judged to determine the sleep state of the infant. The present example is merely an auxiliary description, and does not limit the present application in any way.
Furthermore, a sensor arranged at the backrest of the intelligent safety seat detects the movement intensity of the baby on the seat, and whether the baby is in a sleeping state or not and the depth of the sleeping state can be predicted according to data such as impact frequency received by the sensor.
Further, other sleep data may also include, for example, eye movement frequency, brain waves, etc. for comprehensive judgment.
Therefore, in the example, the sleep state of the infant is detected through the sensor arranged on the intelligent safety seat, so that whether the infant is in the sleep state or not is judged, the judgment by a user is not needed, the accuracy of identifying the sleep of the infant is improved and the user experience is optimized according to the analysis of the infant sleep key indexes.
And step 320, responding to the infant sleeping event, and acquiring the motion state and the environment scene of the vehicle.
The motion state comprises a driving state and a parking state, and the environment scene comprises an outdoor lane and an indoor parking lot.
Specifically, the external environment in which the vehicle runs is detected in real time by a sensor and/or an image sensor in the sensor module, so as to determine whether the vehicle is currently in an indoor driving scene or an outdoor driving scene, for example, by the light intensity, the ambient environment characteristics, and other factors. The present example is merely an auxiliary description, and does not limit the present application in any way. Furthermore, the position of the vehicle can be accurately judged through a Global Positioning System (GPS) to determine the current environment of the vehicle.
Specifically, whether the vehicle is in a driving state is judged by a sensor for detecting the driving state of the vehicle in the sensor module, and in practical application, the driving state of the vehicle can be comprehensively judged by the current vehicle speed, whether an engine is started and the like.
And 330, if the motion state of the vehicle is the driving state and the environment scene is the outdoor lane, acquiring multiple groups of driving data of the vehicle.
Wherein the travel data includes vibration data of the vehicle and sound data in a cabin of the vehicle.
Specifically, the vibration data of the vehicle body and/or the seat in the cabin is detected by the vibration sensor in the sensor module, which may be, for example: ride quality (Ride quality), vibration frequency, etc. are used as measures. Sound data of the cabin interior environment are detected through a sound sensor in the sensor module.
The intelligent safety seat is in a non-vibration mode, and the loudspeaker in the cabin is in a mute state.
In one possible example, the determining target driving data adapted to the infant sleep event from the plurality of sets of driving data includes: acquiring the time distribution characteristic of the sleep event of the infant from a light sleep state to a deep sleep state; screening out at least two groups of running data of which the collection time is in the deep sleep state time period from the plurality of groups of running data according to the time distribution characteristics; determining target driving data adapted to the infant sleeping event according to the at least two sets of driving data.
Referring to fig. 4a, fig. 4a is a schematic diagram of a sleep level and a time distribution provided in an embodiment of the present application, and as shown in fig. 4a, a waveform diagram is used to illustrate a mapping relationship between a current infant sleep time and a sleep level thereof, where a peak refers to a time when the infant sleep level is deep sleep, and a trough refers to a time when the infant sleep level is shallow sleep.
Specifically, the driving data during the deep sleep state period can be collected by determining the collection period of the slope of the waveform diagram shown in fig. 4a, and when the slope k value in the waveform diagram is smaller than 1 and larger than 0, it indicates that the sleep state of the infant begins to become stable and the infant enters the deep sleep state; when the k value is less than 0 and greater than-1, the sleep state of the infant begins to enter the light sleep state.
Specifically, for example, when it is detected that the slope k value of the sleep state waveform of the infant is smaller than 1, the collection of the driving data is started until the slope k value is larger than-1, and the collection of the driving data may be stopped, and a plurality of sets of driving data may be acquired, for example, 5 sets of driving data in a period of 5 minutes before and after the time corresponding to the peak 41 are collected. The present example is merely an auxiliary description, and does not limit the present application in any way.
Further, it is also possible to collect the driving data of a plurality of deep sleep sessions, for example, as shown in fig. 4a, where each peak represents the highest deep sleep state, the slope k of the driving data is 0, for example, acquiring the driving data corresponding to the peak 41, acquiring the driving data corresponding to the peak 42, and acquiring the driving data corresponding to the peak 43, and then determining the data adapted to the sleep state of the infant according to the three sets of driving data.
Therefore, in the example, by collecting multiple groups of running data in deep sleep according to the characteristics of the sleeping degree and the time distribution of the baby, and then determining the target running data adaptive to the sleeping of the baby, the reasonability of the collected running data is improved, so that the adaptation degree of the work of the cabin and the sleeping state of the baby is improved by using the target running data, and the influence of the vehicle on the sleeping of the baby in the cabin in the running process is reduced.
In one possible example, the determining target driving data adapted to the infant sleep event from the at least two sets of driving data comprises: calculating a data mean value of each parameter in the at least two groups of driving data; and taking a group of driving data consisting of the data mean value of each parameter as the target driving data adapted to the infant sleep event.
Specifically, for example, a plurality of sets of travel data in a preset time period corresponding to the time of the peak 41 in fig. 4a are acquired, an average value of a plurality of vibration data in the acquired travel data is calculated, and the sound data in a plurality of cabins are calculated to obtain an average decibel value of the sound volume, so that a set of target travel data consisting of the average vibration data during the vehicle travel during the infant deep sleep period and the average sound data in the cabins is obtained.
In other possible examples, the sleep quality parameters for the deep sleep state and the light sleep state, such as an integer of the sleep quality within 1-10, may be set according to the waveform shown in fig. 4a, the higher the sleep quality parameter is, the deepest the infant sleep state is, and the lower the sleep quality parameter is, the shallowest the infant sleep state is, similarly.
After the quantitative analysis is carried out according to the sleep state of the infant, the driving data which are correspondingly collected at the moment with the highest sleep quality parameter are determined, and the highest weight is given to the driving data; and carrying out weight distribution on the plurality of groups of collected driving data according to the height of the corresponding sleep quality parameters, multiplying the plurality of groups of driving numerical values by corresponding weights, then adding and summing to obtain an overall value, and dividing by the number of the groups of the collected driving data to obtain a weighted average serving as the target driving data of the current event.
Therefore, in the example, a processing method of multiple sets of driving data acquired in a deep sleep period of a baby is provided, a set of target driving data with the highest adaptation degree to the deep sleep state of the baby is obtained after processing, and a cabin is adjusted according to the target data, so that influence of a vehicle on the sleep of the baby in the cabin in the driving process is reduced, and the sleep quality of the baby in the cabin is ensured.
If the motion state of the vehicle is changed from the driving state to the parking state and the environment scene keeps the outdoor lane, adjusting the intelligent safety seat according to the target driving data to keep the cabin adaptive to the infant sleeping event; further, the smart safety seat is in a vibration mode.
Specifically, the motion state of the vehicle is changed from a driving state to a parking state, and the environment still maintains an outdoor lane, and it is generally considered that the vibration data herein is due to vertical vibration to a seat of a cabin and/or lateral vibration caused by road surface factors, driving operation, and the like during driving of the vehicle, and when the vehicle body vibration data is 0 after stable parking of the vehicle, the sound data in the cabin does not change greatly in the outdoor lane, and the change of the sound data can be ignored.
In one possible example, the adjusting the smart safety seat according to the target driving data includes: and taking the vibration data of the vehicle in the target driving data as target vibration data, and controlling the intelligent safety seat to vibrate according to the target vibration data.
Specifically, after the vibration data of the vehicle is reduced to 0, the intelligent safety seat is controlled to vibrate according to the confirmed target vibration data, and the seat can be vibrated by a component which can enable the seat to stably vibrate, such as a spring device below the intelligent safety seat or behind a seat backrest, or a mechanical arm.
It can be seen that in this example, after the vehicle is changed from the driving state to the parking state, the infant in the sleeping state needs to be subjected to the environment simulation still in vibration, and the seat is adjusted according to the previously determined target vibration data, so that the infant in the cabin is still considered to be in the vibration environment of sleep in subconscious mind, and the sleep state of the infant in the cabin is maintained to be stable.
If the motion state of the vehicle keeps the driving state and the environment scene is changed from the outdoor lane to the indoor parking lot, adjusting the working state of the loudspeaker according to the target driving data so as to keep the cabin adaptive to the infant sleeping event.
Specifically, when a vehicle enters the room from the outside, it should be understood that the sound insulation effect is also excellent because the environmental sound is small after the vehicle enters the indoor parking lot, so that the sound data in the cabin can be suddenly reduced as the vehicle enters the room, and the vibration data can not be suddenly changed because the vehicle is still in a driving state.
In one possible example, the adjusting the working state of the speaker according to the target driving data includes: and taking the sound data in the cabin of the vehicle in the target driving data as target sound data, and controlling one or more loudspeakers to work according to the target sound data.
Specifically, after the vehicle enters the indoor parking lot, the speakers in the cabin are controlled to operate according to the confirmed target sound data, and it is understood that one or more of the speakers may emit a lower decibel sound as a simulation of the indoor environmental sound.
In other possible examples, when the vehicle runs in an outdoor lane, light such as sunlight and street light may regularly irradiate the face of the infant through the window glass, which may cause the infant to subconsciously receive the environmental factor when in a sleeping state, and frequency data of light irradiation may be received through the light sensor;
after detecting that the vehicle enters the indoor parking lot, the stored light irradiation data is called, the ceiling lamp above the intelligent safety seat where the baby is located and/or the light carried by the baby above the seat are adjusted according to the light irradiation data, and regular light irradiation is carried out on the face of the baby. The examples are merely for auxiliary explanation and do not set any limit to the present application.
Furthermore, light characteristics such as light intensity and light color of light can be detected by receiving light irradiation frequency data through the light sensor, for example, the light to be adjusted is soft warm light to adapt to the light characteristics of the road lamp at night.
It can be seen that in this example, after the vehicle enters the indoor parking lot from the outdoor lane, the sound simulation of the sleeping baby in the outdoor environment is required, and the in-cabin speakers are adjusted according to the previously determined target sound data, so that the baby in the cabin is still considered to be in the sound environment of sleeping in the subconscious mind, and the stability of the sleeping state of the baby in the cabin is maintained.
If the motion state of the vehicle is changed from the driving state to the parking state and the environment scene is changed from the outdoor lane to the indoor parking lot, the working states of the intelligent safety seat and the loudspeaker are adjusted according to the target driving data so as to keep the cabin adaptive to the infant sleeping event.
In one possible example, the cabin further includes a warning light disposed at a door of the cabin, and after the moving state of the vehicle changes from the driving state to the parking state, the method further includes: detecting whether a door of the vehicle is open; if the vehicle door is detected to be opened, controlling the prompting lamp to enter a working state, wherein the prompting lamp is used for prompting a user to lighten the force when the vehicle door is closed, and the working state comprises continuous lighting and flashing according to a preset frequency; and if the situation that the vehicle door is not opened is detected, controlling the prompt lamp to be in a light-off state.
The prompting lamp is a general name, and here can be a prompting bulb, a prompting character capable of emitting light, a prompting pattern and the like, which are not described herein in detail, and the purpose of the prompting lamp is to reduce the force when a user closes the door so as to avoid influencing the infant in a sleeping state in the cabin.
In other possible examples, when the motion state of the vehicle is changed from the driving state to the parking state and the door of the vehicle is detected to be opened, the projection may be performed by controlling a projection device disposed below a rear view mirror or around a roof of the vehicle; the projected content may include text information, icon information, etc. for prompting the light closing of the vehicle door.
Specifically, referring to fig. 4b, fig. 4b is a schematic view of a vehicle door warning light provided in an embodiment of the present application, and as shown in fig. 4b, a vehicle door warning light 420 is disposed at an inner side of a vehicle door, and may be disposed near a vehicle door handle to improve a warning effect.
Further, when detecting that the door is opened, can also carry out the light sound through controlling on-vehicle intelligent voice system and remind to the suggestion user closes the door lightly.
Further, the lighting mode of the indicator light can be customized by the owner user on the vehicle control system in advance, for example: the modes of flashing, continuously lighting and the like are performed according to a certain frequency, and are not described herein again.
In other possible examples, when the vehicle is detected to be located in an indoor parking lot and the door of the vehicle is opened, the intelligent cabin area controller can control the ceiling lamp of the area where the baby is located to be in the closed state, and other ceiling lamps in the cabin are automatically turned on, so that the influence of sudden light irradiation on the sleep of the baby is avoided. The present example is merely an auxiliary description, and does not limit the present application in any way.
In other possible examples, if the door of the vehicle is an electric suction door, that is, the door can be automatically controlled by the vehicle control system to open and close, and after the vehicle is judged to be in a parking state and the door is automatically opened, the door closing speed is adjusted when the door is closed again, so that the instantaneous noise of door closing is reduced, and the sleeping state of the infant is ensured. The present example is merely an auxiliary description, and does not limit the present application in any way.
It is thus clear that, in this example, through the judgement to the door state of opening, start the operating condition of the inboard warning light of passenger cabin door to the suggestion user can reduce the dynamics when closing the door once more, avoids the door to close the noise that brings in the twinkling of an eye, reduces the influence that brings the baby sleep state, improves intelligent passenger cabin to the comprehensive, intelligent of maintaining baby's sleep.
Fig. 3 is a schematic flow chart of a data processing method for an infant sleep event in a vehicle cabin according to an embodiment of the present application, where when an infant sleep event is detected by the sensor module, a motion state and an environmental scene of the vehicle are obtained in response to the infant sleep event; if the motion state of the vehicle is the driving state and the environment scene is the outdoor lane, collecting multiple groups of driving data of the vehicle; determining target driving data adapted to the infant sleeping event according to the multiple groups of driving data; and then adjusting the intelligent safety seat and/or the loudspeaker in the cabin to work according to the target running data according to the change of the running state of the vehicle so as to keep the cabin adaptive to the sleeping state of the baby. Therefore, the related data in the driving process of the vehicle are collected, the related data adaptive to the sleeping state of the baby are determined to adjust the working state of the intelligent device in the seat, the comprehensiveness and intelligence of the intelligent cabin system of the vehicle for processing the sleeping events of the baby in different vehicle states are improved, the influence on the sleeping of the baby caused by the change of the driving scene of the vehicle is reduced, and the sleeping stability of the baby in the vehicle cabin is improved.
The above description has introduced the solution of the embodiment of the present application mainly from the perspective of the method-side implementation process. It will be appreciated that the mobile electronic device, in order to carry out the above-described functions, comprises corresponding hardware structures and/or software modules for performing the respective functions. Those of skill in the art will readily appreciate that the present application is capable of hardware or a combination of hardware and computer software implementing the various illustrative elements and algorithm steps described in connection with the embodiments provided herein. Whether a function is performed as hardware or computer software drives hardware depends upon the particular application and design constraints imposed on the solution. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present application.
In the embodiment of the present application, the electronic device may be divided into the functional units according to the method example, for example, each functional unit may be divided corresponding to each function, or two or more functions may be integrated into one processing unit. The integrated unit can be realized in a form of hardware, and can also be realized in a form of a software functional unit. It should be noted that the division of the unit in the embodiment of the present application is schematic, and is only a logic function division, and there may be another division manner in actual implementation.
Referring to fig. 5a, in accordance with the embodiment of fig. 3, fig. 5a is a block diagram of functional units of a data processing device of a vehicle cabin for a sleep event of an infant according to an embodiment of the present application, and as shown in fig. 5a, the cabin conditioning device 50 includes: the detection unit 501 is used for detecting an infant sleeping event through the sensor module, wherein the infant sleeping event refers to that an infant above the intelligent safety seat is in a sleeping state; responding to the infant sleeping event, and acquiring a motion state and an environment scene of the vehicle, wherein the motion state comprises a driving state and a parking state, and the environment scene comprises an outdoor lane and an indoor parking lot; a collecting unit 502, where the collecting unit 502 is configured to collect multiple sets of driving data of the vehicle if the motion state of the vehicle is the driving state and the environment scene is the outdoor lane, where the driving data includes vibration data of the vehicle and sound data in an cabin of the vehicle, the intelligent safety seat is in a non-vibration mode, and a speaker in the cabin is in a mute state; determining target driving data adapted to the infant sleeping event according to the multiple groups of driving data; an adjusting unit 503, where the adjusting unit 503 is configured to adjust the smart safety seat according to the target driving data to keep the cabin adapted to the infant sleeping event if the motion state of the vehicle changes from the driving state to the parking state and the environmental scene keeps the outdoor lane, and the smart safety seat is in a vibration mode; if the motion state of the vehicle keeps the driving state and the environment scene is changed from the outdoor lane to the indoor parking lot, adjusting the working state of the loudspeaker according to the target driving data to keep the cabin adaptive to the infant sleeping event; if the motion state of the vehicle is changed from the driving state to the parking state and the environment scene is changed from the outdoor lane to the indoor parking lot, adjusting the working states of the intelligent safety seat and the loudspeaker according to the target driving data so as to keep the cabin adaptive to the infant sleeping event.
In a possible example, the acquiring unit 502 is specifically configured to determine target driving data adapted to the infant sleep event according to the plurality of sets of driving data: acquiring the time distribution characteristic of the sleep event of the infant from a light sleep state to a deep sleep state; screening out at least two groups of running data of which the collection time is in the deep sleep state time period from the plurality of groups of running data according to the time distribution characteristics; determining target driving data adapted to the infant sleeping event according to the at least two sets of driving data.
In a possible example, said determining target driving data adapted to said infant sleeping event from said at least two sets of driving data, said acquisition unit 502 is specifically configured to: calculating a data mean value of each parameter in the at least two groups of driving data; and taking a group of driving data consisting of the data mean value of each parameter as the target driving data adapted to the infant sleep event.
In a possible example, the adjusting unit 503 is specifically configured to: and taking the vibration data of the vehicle in the target driving data as target vibration data, and controlling the intelligent safety seat to vibrate according to the target vibration data.
In a possible example, the adjusting unit 503 is specifically configured to adjust the working state of the speaker according to the target driving data, and: and taking the sound data in the cabin of the vehicle in the target driving data as target sound data, and controlling one or more loudspeakers to work according to the target sound data.
In a possible example, the cabin further includes a warning light, the warning light is disposed at a door in the cabin, and after the motion state of the vehicle changes from the driving state to the parking state, the adjusting unit 503 is further specifically configured to: detecting whether a door of the vehicle is open; if the vehicle door is detected to be opened, controlling the prompting lamp to enter a working state, wherein the prompting lamp is used for prompting a user to lighten the force when the vehicle door is closed, and the working state comprises continuous lighting and flashing according to a preset frequency; and if the vehicle door is not detected to be opened, controlling the prompt lamp to be in a light-off state.
In one possible example, the sensor module comprises a sleep monitoring sensor mounted on the smart safety seat; the detecting unit 501 is specifically configured to, when an infant sleep event is detected: monitoring, by the sleep monitoring sensor, sleep data of an infant positioned above the smart safety seat, the sleep data including at least one of the following infant sleep data: heart rate, respiratory rate, and exercise intensity; determining that the infant is in a sleep state based on the sleep data.
It can be understood that, since the method embodiment and the apparatus embodiment are different presentation forms of the same technical concept, the content of the method embodiment portion in the present application should be synchronously adapted to the apparatus embodiment portion, and is not described herein again.
In the case of an integrated unit, as shown in fig. 5b, fig. 5b is a block diagram of functional units of another data processing device of a vehicle cabin for an infant sleep event according to an embodiment of the present application. In fig. 5b, the cabin conditioning device 51 comprises: a communication module 511 and a processing module 512. The processing module 512 is used for controlling and managing the actions of the cabin conditioning means, e.g. the steps of the detection unit 501, the acquisition unit 502, and the adjustment unit 503, and/or other processes for performing the techniques described herein. The communication module 511 is used to support the interaction between the cabin conditioning apparatus and other devices. As shown in fig. 5b, the cabin conditioning means 51 may further comprise a storage module 513, the storage module 513 being adapted to store program codes and data of the cabin conditioning means.
The Processing module 512 may be a Processor or a controller, and may be, for example, a Central Processing Unit (CPU), a general-purpose Processor, a Digital Signal Processor (DSP), an ASIC, an FPGA or other programmable logic device, a transistor logic device, a hardware component, or any combination thereof. Which may implement or perform the various illustrative logical blocks, modules, and circuits described in connection with the disclosure. The processor may also be a combination of computing functions, e.g., comprising one or more microprocessors, DSPs, and microprocessors, and the like. The communication module 511 may be a transceiver, an RF circuit or a communication interface, etc. The storage module 513 may be a memory.
All relevant contents of each scene related to the method embodiment may be referred to the functional description of the corresponding functional module, and are not described herein again. The cabin conditioning means 51 may perform the data processing method of the vehicle cabin shown in fig. 3 for an infant sleep event.
The above embodiments may be implemented in whole or in part by software, hardware, firmware, or any combination thereof. When implemented in software, the above-described embodiments may be implemented in whole or in part in the form of a computer program product. The computer program product comprises one or more computer instructions or computer programs. The procedures or functions according to the embodiments of the present application are wholly or partially generated when the computer instructions or the computer program are loaded or executed on a computer. The computer may be a general purpose computer, a special purpose computer, a network of computers, or other programmable device. The computer instructions may be stored in a computer readable storage medium or transmitted from one computer readable storage medium to another computer readable storage medium, for example, the computer instructions may be transmitted from one website, computer, server, or data center to another website, computer, server, or data center by wire or wirelessly. The computer-readable storage medium can be any available medium that can be accessed by a computer or a data storage device such as a server, data center, etc. that contains one or more collections of available media. The usable medium may be a magnetic medium (e.g., floppy disk, hard disk, magnetic tape), an optical medium (e.g., DVD), or a semiconductor medium. The semiconductor medium may be a solid state disk.
Embodiments of the present application also provide a computer storage medium, in which a computer program/instructions are stored, and when executed by a processor, implement part or all of the steps of any one of the methods as described in the above method embodiments.
Embodiments of the present application also provide a computer program product comprising a non-transitory computer readable storage medium storing a computer program operable to cause a computer to perform some or all of the steps of any of the methods as described in the above method embodiments.
It should be understood that, in the various embodiments of the present application, the sequence numbers of the above-mentioned processes do not mean the execution sequence, and the execution sequence of each process should be determined by its function and inherent logic, and should not constitute any limitation to the implementation process of the embodiments of the present application.
In the several embodiments provided in the present application, it should be understood that the disclosed method, apparatus and system may be implemented in other ways. For example, the above-described apparatus embodiments are merely illustrative; for example, the division of the cell is only a logic function division, and there may be another division manner in actual implementation; for example, various elements or components may be combined or may be integrated into another system, or some features may be omitted, or not implemented. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, devices or units, and may be in an electrical, mechanical or other form.
The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, functional units in the embodiments of the present invention may be integrated into one processing unit, or each unit may be physically included alone, or two or more units may be integrated into one unit. The integrated unit can be realized in a form of hardware, or in a form of hardware plus a software functional unit.
The integrated unit implemented in the form of a software functional unit may be stored in a computer readable storage medium. The software functional unit is stored in a storage medium and includes several instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute some steps of the methods according to the embodiments of the present invention. And the aforementioned storage medium includes: u disk, removable hard disk, magnetic disk, optical disk, volatile memory or non-volatile memory. The non-volatile memory may be a read-only memory (ROM), a Programmable ROM (PROM), an Erasable PROM (EPROM), an electrically Erasable EPROM (EEPROM), or a flash memory. Volatile memory can be Random Access Memory (RAM), which acts as external cache memory. By way of example and not limitation, many forms of Random Access Memory (RAM) are available, such as Static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double data rate SDRAM (DDR SDRAM), enhanced SDRAM (ESDRAM), synchronous SDRAM (SLDRAM), and direct bus RAM (DR RAM) among various media that can store program code.
Although the present invention is disclosed above, the present invention is not limited thereto. Various changes and modifications can be easily made by those skilled in the art without departing from the spirit and scope of the present invention, and it is within the scope of the present invention to include different functions, combination of implementation steps, software and hardware implementations.
Claims (10)
1. A data processing method of a vehicle cabin for a baby sleeping event is characterized in that the data processing method is applied to an intelligent cabin domain controller of an intelligent cabin system of a vehicle, the intelligent cabin system comprises the intelligent cabin domain controller, an intelligent safety seat and a sensor module, the intelligent cabin domain controller is respectively in communication connection with the intelligent safety seat and the sensor module, and the method comprises the following steps:
detecting an infant sleeping event through the sensor module, wherein the infant sleeping event refers to that an infant above the intelligent safety seat is in a sleeping state;
responding to the infant sleeping event, and acquiring a motion state and an environment scene of the vehicle, wherein the motion state comprises a driving state and a parking state, and the environment scene comprises an outdoor lane and an indoor parking lot; and the number of the first and second groups,
if the motion state of the vehicle is the driving state and the environment scene is the outdoor lane, acquiring multiple groups of driving data of the vehicle, wherein the driving data comprises vibration data of the vehicle and sound data in an cabin of the vehicle, the intelligent safety seat is in a non-vibration mode, and a loudspeaker in the cabin is in a mute state; determining target driving data adapted to the infant sleeping event according to the multiple groups of driving data;
if the motion state of the vehicle is changed from the driving state to the parking state and the environment scene keeps the outdoor lane, adjusting the intelligent safety seat according to the target driving data to keep the cabin adaptive to the infant sleeping event, wherein the intelligent safety seat is in a vibration mode;
if the motion state of the vehicle keeps the driving state and the environment scene is changed from the outdoor lane to the indoor parking lot, adjusting the working state of the loudspeaker according to the target driving data to keep the cabin adaptive to the infant sleeping event;
if the motion state of the vehicle is changed from the driving state to the parking state and the environment scene is changed from the outdoor lane to the indoor parking lot, adjusting the working states of the intelligent safety seat and the loudspeaker according to the target driving data so as to keep the cabin adaptive to the infant sleeping event.
2. The method of claim 1, wherein determining target driving data to adapt to the infant sleep event from the plurality of sets of driving data comprises:
acquiring the time distribution characteristic of the sleep event of the infant from a light sleep state to a deep sleep state;
screening out at least two groups of driving data of which the collection time is in the deep sleep state time period from the multiple groups of driving data according to the time distribution characteristic;
determining target driving data adapted to the infant sleeping event according to the at least two sets of driving data.
3. The method of claim 2, wherein determining target driving data that fits the infant sleep event from the at least two sets of driving data comprises:
calculating a data mean value of each parameter in the at least two groups of driving data;
and taking a group of driving data consisting of the data mean value of each parameter as the target driving data adapted to the infant sleep event.
4. The method of claim 3, wherein said adjusting said smart safety seat based on said target driving data comprises:
and taking the vibration data of the vehicle in the target driving data as target vibration data, and controlling the intelligent safety seat to vibrate according to the target vibration data.
5. The method of claim 3, wherein said adjusting the operational state of the speaker based on the target driving data comprises:
and taking the sound data in the cabin of the vehicle in the target driving data as target sound data, and controlling one or more loudspeakers to work according to the target sound data.
6. The method according to any one of claims 4 or 5, wherein the cabin further comprises a notification light disposed at a door of the cabin; after the moving state of the vehicle is changed from the driving state to the parking state, the method further includes:
detecting whether a door of the vehicle is open;
if the vehicle door is detected to be opened, controlling the prompting lamp to enter a working state, wherein the prompting lamp is used for prompting a user to lighten the force when the vehicle door is closed, and the working state comprises continuous lighting and flashing according to a preset frequency;
and if the vehicle door is not detected to be opened, controlling the prompt lamp to be in a light-off state.
7. The method of claim 1, wherein the sensor module comprises a sleep monitoring sensor mounted on the smart safety seat; the detecting of the infant sleep event comprises:
monitoring, by the sleep monitoring sensor, sleep data of an infant positioned above the smart safety seat, the sleep data including at least one of the following infant sleep data: heart rate, respiratory rate, and exercise intensity;
determining that the infant is in a sleep state based on the sleep data.
8. A data processing device of a vehicle cabin for a baby sleeping event is characterized in that the data processing device is applied to an intelligent cabin domain controller of an intelligent cabin system of a vehicle, the intelligent cabin system comprises the intelligent cabin domain controller, an intelligent safety seat and a sensor module, the intelligent cabin domain controller is respectively in communication connection with the intelligent safety seat and the sensor module, and the device comprises:
the detection unit is used for detecting an infant sleeping event through the sensor module, wherein the infant sleeping event refers to that an infant above the intelligent safety seat is in a sleeping state;
responding to the infant sleeping event, and acquiring a motion state and an environment scene of the vehicle, wherein the motion state comprises a driving state and a parking state, and the environment scene comprises an outdoor lane and an indoor parking lot; and the number of the first and second groups,
the intelligent safety seat comprises a collecting unit, a processing unit and a control unit, wherein the collecting unit is used for collecting multiple groups of running data of the vehicle if the motion state of the vehicle is the running state and the environment scene is the outdoor lane, the running data comprises vibration data of the vehicle and sound data in an cabin of the vehicle, the intelligent safety seat is in a non-vibration mode, and a loudspeaker in the cabin is in a mute state; determining target driving data adapted to the infant sleeping event according to the multiple groups of driving data;
an adjusting unit, configured to adjust the smart safety seat according to the target driving data if the motion state of the vehicle changes from the driving state to the parking state and the environmental scene maintains the outdoor lane, so as to maintain the cabin to adapt to the infant sleep event, where the smart safety seat is in a vibration mode;
if the motion state of the vehicle keeps the driving state and the environment scene is changed from the outdoor lane to the indoor parking lot, adjusting the working state of the loudspeaker according to the target driving data to keep the cabin adaptive to the infant sleeping event;
if the motion state of the vehicle is changed from the driving state to the parking state and the environment scene is changed from the outdoor lane to the indoor parking lot, adjusting the working states of the intelligent safety seat and the loudspeaker according to the target driving data so as to keep the cabin adaptive to the infant sleeping event.
9. An electronic device comprising a processor, memory, and one or more programs stored in the memory and configured to be executed by the processor, the programs including instructions for performing the steps of the method of any of claims 1-7.
10. A computer-readable storage medium, on which a computer program/instructions is stored, which, when being executed by a processor, carries out the steps of the method according to any one of claims 1 to 7.
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| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202211679170.8A CN115649095B (en) | 2022-12-27 | 2022-12-27 | Data processing method and related device for baby sleeping event in vehicle cabin |
| CN202310194445.7A CN116101207A (en) | 2022-12-27 | 2022-12-27 | Method for processing data of vehicle cabin, related device, storage medium and program |
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| CN202211679170.8A CN115649095B (en) | 2022-12-27 | 2022-12-27 | Data processing method and related device for baby sleeping event in vehicle cabin |
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| CN202310194445.7A Division CN116101207A (en) | 2022-12-27 | 2022-12-27 | Method for processing data of vehicle cabin, related device, storage medium and program |
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| CN115649095B (en) | 2023-03-21 |
| CN116101207A (en) | 2023-05-12 |
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