User rhythm-based vehicle cabin control method, device, equipment and medium

Abstract

Embodiments of the present application provide a vehicle cabin control method and device based on user rhythm, equipment and medium. The method comprises: acquiring a current time and a current user physiological signal, determining a current user physiological state according to the current time, the user physiological signal and a pre-constructed user rhythm model; wherein the user rhythm model comprises a plurality of rhythm periods, each rhythm period has a corresponding rhythm physiological state; based on a preset mapping rule, determining a target mode of the vehicle cabin according to the user physiological state; wherein the mapping rule represents different user physiological states matching the cabin mode, and the target mode is the cabin mode matched with the user physiological state; and controlling at least one control parameter of the vehicle cabin according to the target mode. The method is used to realize the combination of the switching control of the cabin mode and the actual demand of the user, thereby achieving the effect of improving the control intelligence of the vehicle cabin.

Description

Technical Field

[0001] This application relates to the field of vehicle cockpit technology, and in particular to a vehicle cockpit control method, device, equipment and medium based on user rhythm. Background Technology

[0002] With the rapid development of intelligent vehicle technology, the functions of vehicle cockpits are becoming increasingly diverse. For example, vehicle cockpits offer multiple modes and allow users to switch between them.

[0003] Some technologies determine whether a cabin mode switch is needed based on geographical location or time information. However, in these technologies, the cabin mode switching is disconnected from the user's actual needs.

[0004] Therefore, there is an urgent need for a solution that can combine cockpit mode switching control with actual user needs. Summary of the Invention

[0005] The vehicle cockpit control method, device, equipment, and medium based on user rhythm provided in this application are used to combine cockpit mode switching control with actual user needs, thereby improving the control intelligence of the vehicle cockpit.

[0006] In a first aspect, embodiments of this application provide a vehicle cockpit control method based on user rhythm, including:

[0007] The system acquires the current time and the current user physiological signal, and determines the current user physiological state based on the current time, the user physiological signal, and the pre-constructed user rhythm model. The user rhythm model includes multiple rhythm time periods, each with a corresponding rhythm physiological state. The rhythm physiological state is used to characterize the user's historical physiological state pattern within the rhythm time period.

[0008] Based on preset mapping rules, the target mode of the vehicle cabin is determined according to the user's physiological state; wherein, the mapping rules represent the cabin modes matched to different user physiological states, and the target mode is the cabin mode matched to the user's physiological state.

[0009] Based on the target mode, control at least one control parameter of the vehicle cabin.

[0010] In one possible implementation, the current user physiological state is determined based on the current time, the user's physiological signals, and a pre-built user rhythm model, including:

[0011] Based on the current time and the user's circadian rhythm model, determine the target circadian rhythm period corresponding to the current time; wherein, the target circadian rhythm period is one of multiple circadian rhythm periods;

[0012] The user's physiological state is determined based on the user's physiological signals and the rhythmic physiological state corresponding to the target rhythm period.

[0013] In one possible implementation, the user's physiological state is determined based on the user's physiological signals and the rhythmic physiological state corresponding to the target rhythmic time period, including:

[0014] If it is determined that the physiological state represented by the user's physiological signal matches the rhythmic physiological state corresponding to the target rhythmic time period, then the user's physiological state is determined to be the rhythmic physiological state corresponding to the target rhythmic time period.

[0015] Otherwise, the user's physiological state is obtained by extracting state features based on the user's physiological signals.

[0016] In one possible implementation, if it is determined that the physiological state represented by the user's physiological signal does not match the rhythmic physiological state corresponding to the target rhythmic time period, the method further includes:

[0017] The user's circadian rhythm model is dynamically updated based on the user's physiological signals.

[0018] In one possible implementation, before acquiring the current moment and the current user physiological signals, the method further includes:

[0019] Acquire user behavior data sets and sunshine duration information; the user behavior data sets include users' daily routines at different times; the sunshine duration information is used to characterize the sunshine patterns in the geographical area where the vehicle is located.

[0020] A user rhythm model is constructed based on user behavior data sets and solar radiation time series information.

[0021] In one possible implementation, a user rhythm model is constructed based on a user behavior data set and solar radiation time series information, including:

[0022] Based on user behavior data sets and solar radiation time series information, multiple rhythmic time periods were obtained;

[0023] Based on the user behavior data set, determine the rhythmic physiological state corresponding to each rhythmic time period;

[0024] A user rhythm model is constructed based on multiple rhythmic time periods and the corresponding rhythmic physiological states of each rhythmic time period.

[0025] In one possible implementation, depending on the target mode, controlling at least one control parameter of the vehicle cabin includes at least one of the following:

[0026] Control the color temperature of the lights in the vehicle cabin to the color temperature parameters corresponding to the target mode;

[0027] Control the audio volume in the vehicle cabin to the volume parameter corresponding to the target mode;

[0028] The air conditioning parameters in the vehicle cabin are controlled to correspond to the target mode. The air conditioning parameters include at least one of the following: air conditioning mode, air conditioning fan speed, and air conditioning temperature.

[0029] Control the seat posture in the vehicle cabin to the seat parameters corresponding to the target mode.

[0030] In one possible implementation, the method further includes:

[0031] In response to the user's adjustment of the cockpit mode, adjustment information is generated;

[0032] The user's rhythm model is dynamically updated based on the adjustment information.

[0033] Secondly, embodiments of this application provide a vehicle cockpit control device based on user rhythm, comprising:

[0034] The processing module is used to acquire the current time and the current user physiological signal, and determine the current user physiological state based on the current time, the user physiological signal and the pre-built user rhythm model. The user rhythm model includes multiple rhythm time periods, each rhythm time period has a corresponding rhythm physiological state, and the rhythm physiological state is used to characterize the user's historical physiological state pattern within the rhythm time period.

[0035] The processing module is also used to determine the target mode of the vehicle cabin based on the user's physiological state and a preset mapping rule; wherein the target mode is a cabin mode that matches the user's physiological state.

[0036] The control module is used to control at least one control parameter of the vehicle cabin according to the target mode.

[0037] In one possible implementation, the current user physiological state is determined based on the current time, user physiological signals, and a pre-built user rhythm model. The processing module is used to:

[0038] Based on the current time and the user's circadian rhythm model, determine the target circadian rhythm period corresponding to the current time; wherein, the target circadian rhythm period is one of multiple circadian rhythm periods;

[0039] The user's physiological state is determined based on the user's physiological signals and the rhythmic physiological state corresponding to the target rhythm period.

[0040] In one possible implementation, the user's physiological state is determined based on the user's physiological signals and the rhythmic physiological state corresponding to the target rhythmic time period. The processing module is used to:

[0041] If it is determined that the physiological state represented by the user's physiological signal matches the rhythmic physiological state corresponding to the target rhythmic time period, then the user's physiological state is determined to be the rhythmic physiological state corresponding to the target rhythmic time period.

[0042] Otherwise, the user's physiological state is obtained by extracting state features based on the user's physiological signals.

[0043] In one possible implementation, if it is determined that the physiological state represented by the user's physiological signal does not match the rhythmic physiological state corresponding to the target rhythmic time period, the processing module is further configured to:

[0044] The user's circadian rhythm model is dynamically updated based on the user's physiological signals.

[0045] In one possible implementation, before acquiring the current moment and the current user physiological signals, the processing module is further configured to:

[0046] Acquire user behavior data sets and sunshine duration information; the user behavior data sets include users' daily routines at different times; the sunshine duration information is used to characterize the sunshine patterns in the geographical area where the vehicle is located.

[0047] A user rhythm model is constructed based on user behavior data sets and solar radiation time series information.

[0048] In one possible implementation, a user rhythm model is constructed based on a user behavior data set and solar radiation time series information. The processing module is used for:

[0049] Based on user behavior data sets and solar radiation time series information, multiple rhythmic time periods were obtained;

[0050] Based on the user behavior data set, determine the rhythmic physiological state corresponding to each rhythmic time period;

[0051] A user rhythm model is constructed based on multiple rhythmic time periods and the corresponding rhythmic physiological states of each rhythmic time period.

[0052] In one possible implementation, depending on the target mode, at least one control parameter of the vehicle cabin is controlled, and the control module is used to perform at least one of the following:

[0053] Control the color temperature of the lights in the vehicle cabin to the color temperature parameters corresponding to the target mode;

[0054] Control the audio volume in the vehicle cabin to the volume parameter corresponding to the target mode;

[0055] The air conditioning parameters in the vehicle cabin are controlled to correspond to the target mode. The air conditioning parameters include at least one of the following: air conditioning mode, air conditioning fan speed, and air conditioning temperature.

[0056] Control the seat posture in the vehicle cabin to the seat parameters corresponding to the target mode.

[0057] In one possible implementation, the processing module is further configured to:

[0058] In response to the user's adjustment of the cockpit mode, adjustment information is generated;

[0059] The user's rhythm model is dynamically updated based on the adjustment information.

[0060] Thirdly, embodiments of this application provide an electronic device, including: a memory and a processor;

[0061] The memory stores instructions that the computer executes;

[0062] The processor executes computer execution instructions stored in memory, causing the processor to perform the first aspect and / or various possible implementations of the first aspect as described above.

[0063] Fourthly, embodiments of this application provide a computer-readable storage medium storing computer-executable instructions, which, when executed by a processor, are used to implement the first aspect and / or various possible implementations of the first aspect.

[0064] Fifthly, embodiments of this application provide a computer program product, including a computer program that, when executed by a processor, implements the first aspect and / or various possible implementations of the first aspect.

[0065] The vehicle cockpit control method, apparatus, device, and medium based on user rhythm provided in this application obtain the current moment and the current user physiological signal, and determine the current user physiological state by combining it with a pre-built user rhythm model. This enables vehicle cockpit control to not only consider the user's current physiological performance, but also take into account the user's historical physiological state patterns, thereby improving the accuracy of judging the user's actual physiological needs. By determining the target mode of the vehicle cockpit based on the user's physiological state according to the preset mapping rules, and controlling at least one control parameter of the vehicle cockpit according to the target mode, it is possible to achieve matching adjustment and coordinated control of cockpit-related control parameters, thereby improving the personalized adaptation effect, overall comfort, and continuous stability of vehicle cockpit environment regulation. Attached Figure Description

[0066] The accompanying drawings, which are incorporated in and form part of this specification, illustrate embodiments consistent with this application and, together with the description, serve to explain the principles of this application.

[0067] Figure 1 A flowchart illustrating the user-rhythm-based vehicle cockpit control method provided in this application. Figure 1 ;

[0068] Figure 2 A flowchart illustrating the user-rhythm-based vehicle cockpit control method provided in this application. Figure 2 ;

[0069] Figure 3 A flowchart illustrating the user-rhythm-based vehicle cockpit control method provided in this application. Figure 3 ;

[0070] Figure 4 A schematic diagram of the structure of the vehicle cockpit control device based on user rhythm provided in this application;

[0071] Figure 5 A schematic diagram of the structure of the electronic device provided in this application.

[0072] The accompanying drawings illustrate specific embodiments of this application, which will be described in more detail below. These drawings and descriptions are not intended to limit the scope of the concept in any way, but rather to illustrate the concept of this application to those skilled in the art through reference to particular embodiments. Detailed Implementation

[0073] Exemplary embodiments will now be described in detail, examples of which are illustrated in the accompanying drawings. When the following description relates to the drawings, unless otherwise indicated, the same numbers in different drawings denote the same or similar elements. The embodiments described in the following exemplary embodiments do not represent all embodiments consistent with this application. Rather, they are merely examples of apparatuses and methods consistent with some aspects of this application.

[0074] Intelligent control systems in modern vehicles are widely used in cabin control. Vehicle cabin environment regulation technology involves the coordinated control of in-vehicle lighting, air conditioning, and related equipment. Its main application scenarios include, but are not limited to, commuting, long-distance travel, and day / night cycles.

[0075] By using onboard sensors, controllers, and human-machine interfaces, the cabin environment parameters are perceived, judged, and adjusted to improve driving comfort and user experience.

[0076] With the rapid development of technology, the need for dynamic adaptation to the physiological state and environmental comfort of drivers and passengers is becoming increasingly prominent. The human circadian rhythm directly affects mental state, drowsiness, and overall physical and mental comfort. During vehicle driving, all of these aspects can have a certain impact on driving safety.

[0077] In some embodiments, the environmental control of the vehicle cabin adopts a mode switching method based on preset time periods, or drives modules such as the lighting system and air conditioning system to perform adjustments according to environmental parameters such as temperature and light intensity. First, the external or in-vehicle environmental state is detected, and then the corresponding parameter settings are output by calling preset control rules, thereby realizing basic environmental change response.

[0078] The above embodiments, based on general rules, primarily reflect changes in time or environmental conditions, but are less likely to reflect the actual physiological differences among different users at the same time. In some cases, when a user is actually awake, drowsy, or relaxed, which is inconsistent with the preset rules, the system may still perform adjustments according to fixed logic, causing outputs such as lighting and temperature to deviate from the user's actual needs.

[0079] Meanwhile, in other embodiments, the various environmental modules in the vehicle often operate relatively independently, lacking a unified linkage mechanism around the user's state. As a result, it is easy for a single parameter to be adjusted but the overall user experience to remain inconsistent.

[0080] In the long run, this may also increase the frequency of repeated manual intervention by users, affecting the accuracy, comfort, and continuous stability of cabin environment control.

[0081] In view of this, how to improve the adaptability of vehicle cabin environment control to the actual physiological needs of users has become an urgent technical problem to be solved.

[0082] The vehicle cockpit control method based on user rhythm provided in this application obtains the current time and the current user's physiological signals, determines the current user's physiological state by combining it with a pre-constructed user rhythm model, determines a target vehicle cockpit mode matching the physiological state according to a preset mapping rule, and controls at least one control parameter of the vehicle cockpit according to the target mode. In the vehicle cockpit control scenario, control is performed in conjunction with the user's actual physiological state, and the accuracy of the actual physiological state is improved based on the preset user rhythm model, thereby enhancing the pertinence and coordination of cockpit adjustment.

[0083] The technical solution of this application and how it solves the above-mentioned technical problems will be described in detail below with specific embodiments. These specific embodiments can be combined with each other, and the same or similar concepts or processes may not be described again in some embodiments. The embodiments of this application will be described below with reference to the accompanying drawings.

[0084] Figure 1 A flowchart illustrating the user-rhythm-based vehicle cockpit control method provided in this application. Figure 1 ,like Figure 1 As shown, the method includes:

[0085] Step 101. Obtain the current time and the current user physiological signal. Based on the current time, the user physiological signal and the pre-built user rhythm model, determine the current user physiological state.

[0086] The user rhythm model includes multiple rhythmic time periods, each with a corresponding rhythmic physiological state. The rhythmic physiological state is used to characterize the user's historical physiological state patterns within the rhythmic time period.

[0087] For example, the current moment is used as the rhythm period to match the user's rhythm model, and the user's physiological signals are used to reflect the user's current real-time physiological state.

[0088] For example, in a specific implementation, the method provided in this embodiment can be applied to an on-board controller in a vehicle. The on-board controller obtains the current time and, by reading instructions, invokes the current user physiological signals collected by multiple physiological sensors configured in the vehicle cabin.

[0089] Optionally, the data collected by the physiological sensors can be preprocessed to generate a valid user physiological signal corresponding to the current moment.

[0090] The physiological sensor may include a camera configured in the vehicle cabin, which is used to capture facial video of the user and calculate the user's blink frequency as one dimension of the user's physiological signal based on the facial video.

[0091] Physiological sensors may also include contact sensors configured on the vehicle steering wheel, which are used to collect the user's heart rate and electrodermal signals as other dimensions of the user's physiological signals.

[0092] Optionally, the aforementioned user physiological signals can also be collected through a smart physiological device worn by the user and acquired via Bluetooth communication with the vehicle's onboard controller. This smart physiological device can be configured to measure the user's heart rate, blood oxygen levels, and other relevant physiological information.

[0093] For example, a user circadian rhythm model is used to characterize the rhythmic patterns of a user's physiological state within different circadian time periods. This user circadian rhythm model includes multiple circadian time periods, each corresponding to a circadian physiological state. A circadian time period represents a time unit divided within a one-day or multi-day cycle, and a circadian physiological state describes the historical physiological state patterns exhibited by the user within the corresponding circadian time period.

[0094] It is understandable that the user rhythm model can be pre-stored in the vehicle controller, local storage, or cloud configuration file of the vehicle-related account, and loaded synchronously after the vehicle starts.

[0095] For example, in specific implementation, when determining the current physiological state of a user, the vehicle controller combines the current time, the user's physiological signals, and the user's circadian rhythm model to conduct a comprehensive analysis and obtain a judgment result representing the current state.

[0096] For example, the vehicle controller can extract corresponding state features based on the user's physiological signals and combine them with the historical physiological state patterns reflected in the user's circadian rhythm model to determine the current user's physiological state.

[0097] In one possible embodiment, the user's physiological signals can be continuously updated according to a preset cycle, and the vehicle controller repeatedly performs state determination in each update cycle, so that the user's physiological state can be adjusted in real time as time changes in long-distance driving, night driving, or day-night alternation scenarios.

[0098] Based on the above analysis, it can be seen that through the coordinated processing of the current moment, user physiological signals, and user rhythm model, the current user physiological state is not determined solely by a single time rule or a single sensor data point. Instead, it is determined by a comprehensive judgment based on historical patterns and real-time characteristics, thereby providing the subsequent cockpit control with a state foundation corresponding to the user's actual physiological needs. It should be understood that the above example is merely illustrative and not limiting.

[0099] Step 102. Based on the preset mapping rules, determine the target mode of the vehicle cabin according to the user's physiological state.

[0100] Among them, the mapping rule represents the cockpit mode matching different user physiological states, and the target mode is the cockpit mode matching the user physiological state.

[0101] For example, mapping rules are used to establish the correspondence between a user's physiological state and the cockpit mode, serving as an intermediate rule layer in the conversion from state recognition results to cockpit control strategies. Mapping rules can be pre-defined in the rule base of the vehicle controller, and each rule includes at least a state input field and a mode output field.

[0102] For example, the user's physiological state is the current physiological condition determined in step 101 above, which serves as the direct basis for target mode selection.

[0103] For example, the target mode is used to express the overall control state that the vehicle cabin should enter at the current moment, which can be specifically represented as an alert mode, a wake-up mode, a soothing mode, a sleep-aid transition mode, or a normal maintenance mode.

[0104] For example, in a specific implementation, after receiving the current physiological state of the user, the vehicle controller calls the mapping rule query module to perform matching and retrieval.

[0105] In some cases, if the preset rules adopt a one-to-one correspondence, then when the user's physiological state is drowsy, the refresh mode will be output directly; when the user's physiological state is awake, the wake-up mode or normal maintenance mode will be output; and when the user's physiological state is relaxed, the soothing mode will be output.

[0106] In other cases, to ensure the stability of rule execution, the vehicle controller can also perform consistency verification on the state determination results to make the target mode output executable.

[0107] In one possible implementation, the mapping rules are established based on a combination of initial user settings, manufacturer-preset templates, and historical usage feedback. Specifically, basic rules can be written when the vehicle is first bound to a user, such as drowsiness corresponding to an alert mode, wakefulness corresponding to a normal maintenance mode, and relaxation corresponding to a soothing mode.

[0108] Subsequently, during long-term use, user-manual corrections after mode switching will be recorded as the basis for rule adjustments. Optionally, mapping rules can be updated via local incremental writing.

[0109] Based on the above analysis, it can be seen that by transforming the user's physiological state into a target mode, subsequent cabin parameter control no longer revolves independently around a single environmental variable, but rather around a unified state-based control objective, thus forming a control decision center oriented towards the user's rhythm and real-time physiological state. It should be understood that the above example is merely illustrative and not limiting.

[0110] Step 103. Control at least one control parameter of the vehicle cabin according to the target mode.

[0111] For example, the vehicle controller controls the vehicle's cabin to switch to a specified target mode by writing or issuing control commands to at least one control parameter.

[0112] In the target mode, there may be one or more control parameters, which are used to perform actual adjustments to the cabin interior environment.

[0113] For example, in specific implementation, after determining the target mode, the parameter template corresponding to the target mode is called, and the parameter values ​​of the control parameters are determined to generate a set of control instructions for the corresponding actuators in the vehicle cabin.

[0114] In some situations, when the target mode is the energizing mode, the vehicle controller can adjust the cabin parameters to meet the energizing needs; when the target mode is the soothing mode, the vehicle controller can adjust the cabin parameters to meet the soothing needs; when the target mode is the normal maintenance mode, the vehicle controller maintains the current cabin parameters or only makes minor corrections to parameters that deviate from the basic threshold.

[0115] Optionally, before issuing a command, the vehicle controller can read the current state value and calculate the difference between the target parameter and the current parameter. If the difference exceeds the switching threshold, a phased gradual control is adopted to ensure that the mode switching process is coordinated with the user's perception. If the target mode only requires adjustment of some parameters, the system only issues commands to the corresponding control parameters, while the remaining parameters remain unchanged.

[0116] In one possible embodiment, multiple control parameters are coordinated and controlled according to the same target mode. Specifically, the vehicle controller uses the mode identifier of the target mode as an index to read the target value set of each control parameter under that target mode, and then sends control commands to multiple execution units within the same control cycle, and receives execution completion feedback.

[0117] In some cases, when a certain execution unit fails to respond or fails to execute, the vehicle controller can record the fault status and continue to adjust the remaining control parameters, thereby ensuring that the target mode is at least partially implemented.

[0118] In another possible embodiment, in long-distance driving or night driving scenarios, the user's physiological signals will continue to change, and the vehicle controller will obtain a new target mode after re-executing the above steps S101 and 102 in subsequent sampling cycles.

[0119] If the new target mode is different from the current mode, a new round of control parameter switching is triggered; if the target mode is the same, the relevant parameters are maintained or fine-tuned.

[0120] Based on the above analysis, it can be seen that the target mode is transformed into at least one control parameter in the vehicle cabin for control, enabling the vehicle cabin to form a unified environmental response based on the current physiological state of the user. It should be understood that the above example is merely illustrative and not limiting.

[0121] The vehicle cockpit control method based on user circadian rhythm provided in this application comprehensively judges the current time, the historical physiological state patterns reflected by the user circadian rhythm model, and the real-time collected user physiological signals to generate a user physiological state that reflects the user's true state. This state is then converted into a target mode using a preset mapping rule, and the target mode drives the adjustment of at least one control parameter of the vehicle cockpit. This enables cockpit control that combines user circadian rhythm and real-time physiological state. It reduces the probability of mismatch between the cockpit mode and the user's actual physiological state caused by switching modes at fixed time periods, allowing the vehicle cockpit to output corresponding environmental adjustment results under different usage periods and different physiological states.

[0122] Figure 2 A flowchart illustrating the user-rhythm-based vehicle cockpit control method provided in this application. Figure 2 This embodiment is in Figure 1 Based on the illustrated embodiment, a detailed explanation is provided on how to determine the current user physiological state in step 101.

[0123] like Figure 2 As shown, based on the current time, user physiological signals, and a pre-built user rhythm model, the current user physiological state is determined, including:

[0124] Step 201. Based on the current time and the user's circadian rhythm model, determine the target circadian rhythm period corresponding to the current time.

[0125] The target rhythm period is one of multiple rhythm periods.

[0126] Step 202. Determine the user's physiological state based on the user's physiological signals and the rhythmic physiological state corresponding to the target rhythmic time period.

[0127] For example, in actual processing, after the vehicle controller obtains the user's physiological signals at the current time and the current user, it first extracts the target rhythm period corresponding to the current time from the user's rhythm model, then reads the rhythm physiological state pre-associated with the target rhythm period, and uses it as the reference benchmark for the current judgment.

[0128] It should be noted that, as illustrated in the foregoing embodiments, the user rhythm model includes multiple rhythm time periods. Each rhythm time period has a corresponding time interval, and the target rhythm time period corresponding to the current moment is determined based on the time interval into which the current moment falls.

[0129] For example, user physiological signals may include one or more of heart rate, heart rate variability, skin conductance response, and respiratory rate. The vehicle controller will match and compare the user physiological signals collected in real time by physiological sensors with the rhythmic physiological state corresponding to the target rhythm period.

[0130] In some cases, when the real-time signal is consistent with the historical pattern of that period or meets the preset similarity threshold, the rhythmic physiological state is determined as the current user's physiological state.

[0131] In other cases, when there is a deviation, the user's physiological state is corrected based on the magnitude of the deviation to obtain a judgment result that is more consistent with the current real state.

[0132] In the above embodiments, by combining the current time with the target circadian rhythm time period in the user's circadian rhythm model, and then comparing the corresponding circadian rhythm physiological state with the current user's physiological signal, the output result of the current user's physiological state is consistent with the user's individualized circadian rhythm. Therefore, the vehicle controller can complete state recognition based on time information and real-time user physiological signals, resulting in an output result that more closely reflects the user's actual physiological performance in the current time period, and providing stable input for subsequent cabin mode matching.

[0133] Based on the above embodiments, in one example, step 202 determines the user's physiological state in the following way.

[0134] If it is determined that the physiological state represented by the user's physiological signal matches the rhythmic physiological state corresponding to the target rhythmic period, then the user's physiological state is determined to be the rhythmic physiological state corresponding to the target rhythmic period.

[0135] Otherwise, the user's physiological state is obtained by extracting state features based on the user's physiological signals.

[0136] For example, in a specific implementation, the vehicle controller can first input the currently collected user physiological signals into the matching module, and the matching module will make a consistency judgment between the physiological state represented by the signal and the rhythmic physiological state corresponding to the target rhythm period.

[0137] If the two are consistent, the rhythmic physiological state is directly output as the user's physiological state, eliminating the need for repeated analysis of the current user's physiological signal. If the two are inconsistent, the feature extraction module analyzes the changing trend, fluctuation amplitude, periodic characteristics, or combined characteristics of multiple user physiological signals in the user's physiological signal, and inputs the analysis results into the state determination module to generate the user's physiological state corresponding to the current user's physiological signal.

[0138] Optionally, the state determination module can use threshold comparison, rule mapping or classification model to complete the output. In practical applications, other models of this module can also be selected, and this application does not limit them.

[0139] In the above example, the rhythmic physiological state is directly used when a match is found, and state features are extracted based on real-time user physiological signals when a mismatch occurs. This ensures that the determination of the user's physiological state takes into account both rhythmic consistency and real-time performance, and provides a stable state input for the subsequent determination of the cockpit target mode. By reducing redundant calculations in consistent scenarios and preserving the ability to respond to current physiological changes in inconsistent scenarios, the cockpit control results can better reflect the user's actual current needs.

[0140] Optionally, if it is determined that the physiological state represented by the user's physiological signal does not match the rhythmic physiological state corresponding to the target rhythmic time period, the method further includes:

[0141] The user's circadian rhythm model is dynamically updated based on the user's physiological signals.

[0142] For example, in actual processing, when the vehicle controller confirms that the state reflected by the current user's physiological signal is inconsistent with the rhythmic physiological state of the target rhythm period, it writes the inconsistent result into the model update unit.

[0143] Furthermore, by combining multiple sets of user physiological signals from the current moment and the continuous acquisition period with historical rhythm data, the state characteristics within the corresponding time period are re-estimated.

[0144] In some cases, if the current user continuously exhibits physiological change trends that differ from the original rhythm record over multiple consecutive sampling periods, this trend is taken as a new rhythm feature, and the mean state, threshold range, or duration of the rhythm period is recalculated, and the parameter configuration in the user's rhythm model is adjusted accordingly.

[0145] It is understandable that the update process for the user's circadian rhythm model can be completed collaboratively by the storage unit and processing unit within the vehicle controller. The storage unit is used to save historical user circadian rhythm models, current user physiological signals, and updated model parameters, while the processing unit is used to perform comparison, correction, and write-back operations. The updated user circadian rhythm model can be directly used to determine the target circadian rhythm time period and match the circadian physiological state when the current time is acquired again.

[0146] In one possible embodiment, when the user's physiological signals do not match the rhythmic physiological state of the target circadian rhythm period, the vehicle controller performs in-depth analysis of the user's physiological signals through a feature extraction module. For example, it uses a rule mapping or decision tree classification model to extract key features (such as heart rate variability and skin conductance fluctuation amplitude) from the user's physiological signals and generates new state labels.

[0147] The difference between the state label and the rhythmic physiological state of the target rhythm period is written into the model update unit, and the state mean of the period is recalculated or the period division boundary is adjusted, thereby optimizing the user rhythm model and improving the accuracy of subsequent predictions.

[0148] In another possible embodiment, re-estimation is performed by combining multiple sets of user physiological signals within consecutive sampling periods. For example, if a user does not exhibit typical drowsiness characteristics for three consecutive sampling periods during the afternoon drowsiness period, the vehicle controller adjusts the rhythmic physiological state of that period from "drowsy" to "awake" and redefines the boundaries of the rhythmic period.

[0149] The updated user rhythm model can more accurately match the user's actual state in subsequent controls (for example, triggering "relaxation mode" instead of "energizing mode" when the user is "awake"), thereby improving the adaptability of cockpit control.

[0150] In the above example, by dynamically updating the user rhythm model based on the current user physiological signals, the user rhythm model can continuously reflect the user's recent physiological changes, and make subsequent rhythm-based state judgments and cabin control parameter selections more in line with the user's actual state, thereby improving model adaptability and control consistency.

[0151] Figure 3 A flowchart illustrating the user-rhythm-based vehicle cockpit control method provided in this application. Figure 3 .like Figure 3 As shown, before acquiring the current time and the current user's physiological signals, the method further includes:

[0152] Step 301. Obtain user behavior data set and sunshine duration information.

[0153] The user behavior data set includes users' daily routines at different times; the sunshine duration information is used to characterize the sunshine patterns in the geographical area where the vehicle is located.

[0154] Step 302. Construct a user rhythm model based on the user behavior data set and solar radiation time series information.

[0155] For example, in specific implementation, the vehicle controller first performs time alignment and cleaning on the user behavior data set, removes abnormal records, extracts the frequently occurring rest time points, and then combines the sunshine time series information to perform regional sunshine correction on the rest time points, so that the rhythm characteristics formed by the same user in different geographical areas can match the local sunshine cycle.

[0156] Furthermore, the vehicle controller divides the corrected sleep-wake cycle into multiple circadian rhythm periods and associates each period with a corresponding circadian physiological state. These circadian physiological states can characterize the user's common states of wakefulness, drowsiness, activity, or relaxation during that period. The resulting user circadian rhythm model can output the target circadian rhythm period to which the current moment belongs, providing a foundation for subsequently determining the user's physiological state by combining current physiological signals.

[0157] In the above embodiments, by incorporating the user's long-term work-rest behavior and the sunlight patterns of the geographical area where the vehicle is located into the model, the constructed user circadian rhythm model can more accurately reflect the correspondence between the user's circadian rhythm and the ambient light cycle, and make subsequent judgments on the current physiological state more temporally relevant. This user circadian rhythm model is used to predetermine the target circadian rhythm period and its corresponding circadian physiological state, thereby providing a stable prior basis for the subsequent matching control of the vehicle cabin mode, and ensuring that the cabin control is consistent with the user's actual circadian rhythm changes.

[0158] In the above embodiments, the step of constructing the user rhythm model in step 302 may include:

[0159] Step 3021. Based on the user behavior data set and sunshine duration information, multiple rhythmic time periods are obtained.

[0160] Step 3022. Based on the user behavior data set, determine the rhythmic physiological state corresponding to each rhythmic time period.

[0161] Step 3023. Construct a user rhythm model based on multiple rhythmic time periods and the corresponding rhythmic physiological states of each rhythmic time period.

[0162] For example, in the actual construction of the user rhythm model, the high-frequency activity distribution of users in different time periods is first extracted based on the user behavior data set, and the day-night boundary and the moment of light transition are identified by combining the solar radiation time sequence information, so as to determine the division point of each rhythm period.

[0163] When dividing the rhythmic periods, the time periods corresponding to users' concentrated activities, rest, and transitional activities can be grouped into different rhythmic periods, and each rhythmic period should be consistent with or approximately consistent with the local solar radiation rhythm.

[0164] Furthermore, based on the level of physical activity, rest tendency, and attention state reflected in the historical user behavior during each rhythmic period, the corresponding rhythmic physiological state is determined. The rhythmic physiological state can correspond to one of wakefulness, drowsiness, or relaxation.

[0165] For example, after obtaining multiple rhythmic time periods and their corresponding rhythmic physiological states, the start and end times, duration, and corresponding rhythmic physiological states of each rhythmic time period are written into the model parameters to form a user rhythm model that can be called later. This user rhythm model can map the current moment to the corresponding rhythmic time period and output the rhythmic physiological state corresponding to that time period, thereby providing a basis for subsequent cockpit control based on user physiological states.

[0166] In one specific embodiment, a personalized circadian rhythm model is constructed by combining geographical location, sunlight duration, and the driver's / passenger's daily routine to divide rhythmic periods such as daytime alertness, afternoon drowsiness, and nighttime rest. For example, based on a user's long-term routine, the period between 1 p.m. and 3 p.m. is identified as the peak drowsiness rhythmic period.

[0167] Optionally, illumination correction can be applied to the user behavior data set. For example, if a user consistently falls asleep at 8 pm in the summer, but the daylight hours are shorter in winter, resulting in a low-light environment at 8 pm, the vehicle controller will shift the sleep time point from 8 pm to a time when the sunlight intensity drops to 50% (such as 7 pm) to ensure that the circadian rhythm is consistent with the local sunlight pattern.

[0168] This correction logic avoids model bias caused by geographical location differences, making the rhythm model more closely match the user's actual physiological rhythm.

[0169] In the above example, the user rhythm model can simultaneously reflect user behavior patterns and sunlight patterns, making the division of rhythmic time periods and the configuration of rhythmic physiological states closer to actual usage scenarios. This improves the accuracy of subsequent state recognition and cabin mode matching, and enhances the consistency of control results across different time periods.

[0170] Based on any of the foregoing embodiments or examples, in one example, according to the target mode, controlling at least one control parameter of the vehicle cabin includes at least one of the following:

[0171] 1. Control the color temperature of the lights in the vehicle cabin to the color temperature parameters corresponding to the target mode.

[0172] 2. Control the audio volume in the vehicle cabin to the volume parameters corresponding to the target mode.

[0173] 3. Control the air conditioning parameters in the vehicle cabin to the parameters corresponding to the target mode. The air conditioning parameters include at least one of the following: air conditioning mode, air conditioning fan speed, and air conditioning temperature.

[0174] 4. Control the seat posture in the vehicle cabin to the seat parameters corresponding to the target mode.

[0175] For example, in a specific implementation, after determining the target mode of the vehicle cabin, the vehicle controller reads the control parameter group associated with the target mode and sends corresponding control commands to the lighting control unit, audio output unit, air conditioning control unit and seat control unit, so that at least one control parameter in the cabin is switched to a state that matches the target mode.

[0176] In some situations, when the target mode corresponds to the energizing mode, the light color temperature can be increased, the volume parameters adjusted, the air conditioning mode or air conditioning fan speed set, and the seat posture adjusted to the corresponding seat parameters.

[0177] In other cases, when the target mode corresponds to the soothing mode, the linkage control in the opposite direction can be executed.

[0178] It should be noted that the control parameter set can be stored in the local storage unit of the vehicle controller or distributed by the vehicle network server. In practical applications, other models of this component can also be selected, and this application does not limit this.

[0179] In one specific embodiment, three exclusive cabin health scenarios—refreshing, soothing, and sleep-aiding—are designed for different time periods, incorporating integrated parameters for light environment (color temperature / brightness), audio, air conditioning airflow, and seat posture.

[0180] Furthermore, the cabin automatically switches modes seamlessly with the natural rhythm of the day, requiring no manual operation. For example, during the afternoon drowsy period, the cabin control parameters automatically switch to an energizing mode. In energizing mode, the vehicle cabin features cool, soft lighting, gentle white noise, and soft airflow.

[0181] Specifically, the cool soft light can control the color temperature in the vehicle cabin at 5000K (Kelvin), the light white noise can control the audio range in the vehicle cabin to be between 50Hz and 100Hz, and the gentle airflow can control the air conditioning temperature in the vehicle cabin to be 22 degrees Celsius, with the air conditioning fan speed at medium speed.

[0182] In the example above, the control parameters of multiple controlled objects within the cabin are adjusted by driving the target pattern, ensuring consistency in the output states of lighting, audio, air conditioning, and seats, and mapping the user's physiological state to executable in-vehicle environmental parameters. This enables the target pattern to be concretely implemented as a perceptible cabin environment configuration, and ensures that the cabin control results match the user's current state.

[0183] Based on any of the foregoing embodiments or examples, in one example, the method further includes:

[0184] In response to the user's adjustment of the cockpit mode, adjustment information is generated;

[0185] The user's rhythm model is dynamically updated based on the adjustment information.

[0186] For example, in a specific implementation, after receiving the user's operation to adjust the cockpit mode, the vehicle controller first records the operation type, adjustment time, target mode to be adjusted, and control parameters before and after the adjustment, and combines these records to form adjustment information.

[0187] Furthermore, the vehicle controller will adjust the information and associate it with the correspondence between the rhythm time period, rhythm physiological state and pattern in the current user rhythm model. Based on the user's actual modified pattern tendency, the correspondence between the rhythm time period and the rhythm physiological state will be corrected; or the configuration content related to the cabin mode in the user rhythm model will be updated to ensure that the historical patterns reflected in the user rhythm model are consistent with the user's actual usage preferences.

[0188] In some cases, the adjustment information may further include cumulative preferences formed by multiple consecutive adjustments, which are used to correct the rhythmic physiological state within the same time period, or to shift the boundaries of adjacent time periods to adapt to changes in the user's work and rest schedule.

[0189] In one possible implementation, adjustment information is generated by recording the timestamp of the user's adjustment operation and the difference in control parameters before and after the mode switch. For example, when switching from "energizing mode" to "soothing mode", the light color temperature drops from 5000K to 4000K.

[0190] This adjustment information is linked to the corresponding circadian rhythm state in the user's circadian rhythm model. For example, "afternoon drowsiness period" is changed from "drowsy" to "relaxed." Furthermore, the pattern mapping rules are optimized, such as adding a mapping for "relaxation corresponding to soothing mode." This allows for dynamic adaptation to individual user needs, preventing prediction results from deviating from actual user preferences over long-term use.

[0191] In the example above, the user's actual feedback is considered during the adjustment of control parameters in the cockpit. Instead of relying solely on the initial constructed results for fixed rhythm judgments, the user's rhythm model is continuously revised based on the user's actual modifications to the cockpit mode. As a result, subsequent physiological state recognition and cockpit mode matching based on this user rhythm model can more closely reflect the user's current preferences, and the output of cockpit control parameters can be updated synchronously with changes in user habits, thereby improving model adaptability and control consistency.

[0192] In one possible embodiment, between 7:00 AM and 9:00 AM, the user's circadian rhythm model determines this as the wake-up period, detecting driver drowsiness and low blinking frequency. At this time, the vehicle controller determines the target mode as the wake-up mode. Specifically, in wake-up mode, the vehicle's cabin is equipped with high color temperature natural light, gentle wake-up music, cool and refreshing airflow, and slight, soothing seat vibrations. This gradually awakens the body during the period of increased sunlight and the transition from sleep to wakefulness, preventing morning drowsiness.

[0193] In another possible embodiment, after 10 PM, the user's circadian rhythm model determines it to be a rest period, detecting a slowing of the occupant's heart rate and relaxation. At this time, the vehicle controller determines the target mode as a soothing sleep-aid mode. Specifically, in soothing sleep-aid mode, the vehicle's cabin is controlled to feature warm-toned, low-brightness lighting, soothing white noise, gentle airflow, and a slightly reclined seat. This aligns with the body's nighttime physiological rhythm during the peak period of melatonin secretion, promoting sleep without disturbing sleep.

[0194] It should be noted that after entering the rest period, before controlling the vehicle cabin to enter the soothing and sleep-aiding mode, the vehicle status needs to be checked. If the vehicle is in motion, the cabin mode will remain in its current state or switch to a low-stimulation but safe transition mode (such as reducing light intensity but retaining basic airflow stimulation), rather than directly entering the soothing and sleep-aiding mode, thus ensuring a balance between driving safety and the user's health needs.

[0195] Understandably, if the vehicle is parked (such as for a temporary rest), it can switch to a soothing and sleep-aid mode, which helps users enter a resting state by reducing light intensity, playing soothing audio, and adjusting the seat position.

[0196] The vehicle cockpit control method based on user rhythm provided in this application constructs a user rhythm model that combines user behavior data set and solar radiation time sequence information. Based on the current user physiological signal and the current time, the method determines the current user physiological state according to the user rhythm model, further determines the target mode that matches the current user physiological state, and controls one or more control parameters in the vehicle cockpit based on the target mode. This achieves the integration of cockpit mode switching control with the actual needs of the user, thereby improving the control intelligence of the vehicle cockpit.

[0197] Figure 4 A schematic diagram of the user-rhythm-based vehicle cockpit control device provided in this application is shown below. Figure 4 As shown, the vehicle cockpit control device 40 based on user rhythm provided in this embodiment includes:

[0198] The processing module 401 is used to acquire the current time and the current user physiological signal, and determine the current user physiological state based on the current time, the user physiological signal and the pre-constructed user rhythm model; wherein, the user rhythm model includes multiple rhythm time periods, each rhythm time period has a corresponding rhythm physiological state, and the rhythm physiological state is used to characterize the user's historical physiological state pattern within the rhythm time period.

[0199] The processing module 401 is also used to determine the target mode of the vehicle cabin based on the user's physiological state and a preset mapping rule; wherein the target mode is a cabin mode that matches the user's physiological state.

[0200] Control module 402 is used to control at least one control parameter of the vehicle cabin according to the target mode.

[0201] In one possible implementation, the current user physiological state is determined based on the current time, the user's physiological signals, and a pre-built user rhythm model. The processing module 401 is used to:

[0202] Based on the current time and the user's circadian rhythm model, determine the target circadian rhythm period corresponding to the current time; wherein, the target circadian rhythm period is one of multiple circadian rhythm periods;

[0203] The user's physiological state is determined based on the user's physiological signals and the rhythmic physiological state corresponding to the target rhythm period.

[0204] In one possible implementation, the user's physiological state is determined based on the user's physiological signals and the rhythmic physiological state corresponding to the target rhythmic period. The processing module 401 is used to:

[0205] If it is determined that the physiological state represented by the user's physiological signal matches the rhythmic physiological state corresponding to the target rhythmic time period, then the user's physiological state is determined to be the rhythmic physiological state corresponding to the target rhythmic time period.

[0206] Otherwise, the user's physiological state is obtained by extracting state features based on the user's physiological signals.

[0207] In one possible implementation, if it is determined that the physiological state represented by the user's physiological signal does not match the rhythmic physiological state corresponding to the target rhythmic time period, the processing module 401 is further configured to:

[0208] The user's circadian rhythm model is dynamically updated based on the user's physiological signals.

[0209] In one possible implementation, before acquiring the current time and the current user physiological signal, the processing module 401 is further configured to:

[0210] Acquire user behavior data sets and sunshine duration information; the user behavior data sets include users' daily routines at different times; the sunshine duration information is used to characterize the sunshine patterns in the geographical area where the vehicle is located.

[0211] A user rhythm model is constructed based on user behavior data sets and solar radiation time series information.

[0212] In one possible implementation, a user rhythm model is constructed based on the user behavior data set and solar radiation time series information. The processing module 401 is used for:

[0213] Based on user behavior data sets and solar radiation time series information, multiple rhythmic time periods were obtained;

[0214] Based on the user behavior data set, determine the rhythmic physiological state corresponding to each rhythmic time period;

[0215] A user rhythm model is constructed based on multiple rhythmic time periods and the corresponding rhythmic physiological states of each rhythmic time period.

[0216] In one possible implementation, depending on the target mode, at least one control parameter of the vehicle cabin is controlled, and the control module 402 is used to perform at least one of the following:

[0217] Control the color temperature of the lights in the vehicle cabin to the color temperature parameters corresponding to the target mode;

[0218] Control the audio volume in the vehicle cabin to the volume parameters corresponding to the target mode;

[0219] The air conditioning parameters in the vehicle cabin are controlled to correspond to the target mode. The air conditioning parameters include at least one of the following: air conditioning mode, air conditioning fan speed, and air conditioning temperature.

[0220] Control the seat posture in the vehicle cabin to the seat parameters corresponding to the target mode.

[0221] In one possible implementation, the processing module 401 is further configured to:

[0222] In response to the user's adjustment of the cockpit mode, adjustment information is generated;

[0223] The user's rhythm model is dynamically updated based on the adjustment information.

[0224] The vehicle cockpit control device based on user rhythm provided in this embodiment can execute the method provided in the above method embodiment. Its implementation principle and technical effect are similar, and will not be described in detail here.

[0225] Figure 5 A schematic diagram of the structure of the electronic device provided in this application. Figure 5 As shown, the electronic device 50 provided in this embodiment includes at least one processor 501 and a memory 502. Optionally, the electronic device 50 further includes a communication component 503. The processor 501, memory 502, and communication component 503 are connected via a bus 504.

[0226] In a specific implementation, at least one processor 501 executes computer execution instructions stored in memory 502, causing at least one processor 501 to perform the above-described method.

[0227] The specific implementation process of processor 501 can be found in the above method embodiments, and its implementation principle and technical effect are similar. It will not be repeated here.

[0228] In the above embodiments, it should be understood that the processor can be a Central Processing Unit (CPU), or other general-purpose processors, digital signal processors (DSPs), application-specific integrated circuits (ASICs), etc. The general-purpose processor can be a microprocessor or any conventional processor. The steps of the method disclosed in this invention can be directly implemented by a hardware processor, or implemented by a combination of hardware and software modules within the processor.

[0229] The memory may include random access memory (RAM) and may also include non-volatile memory (NVM), such as at least one disk storage device.

[0230] The bus can be an Industry Standard Architecture (ISA) bus, a Peripheral Component Interconnect (PCI) bus, or an Extended Industry Standard Architecture (EISA) bus, etc. Buses can be categorized as address buses, data buses, control buses, etc. For ease of illustration, the buses shown in the accompanying drawings are not limited to a single bus or a single type of bus.

[0231] This application also provides a computer program product, including a computer program that, when executed by a processor, implements the above-described method.

[0232] This application also provides a computer-readable storage medium storing computer-executable instructions, which, when executed by a processor, implement the above-described method.

[0233] The aforementioned readable storage medium can be implemented by any type of volatile or non-volatile storage device or a combination thereof, such as static random access memory (SRAM), electrically erasable programmable read-only memory (EEPROM), erasable programmable read-only memory (EPROM), programmable read-only memory (PROM), read-only memory (ROM), magnetic storage, flash memory, magnetic disk, or optical disk. The readable storage medium can be any available medium accessible to a general-purpose or special-purpose computer.

[0234] An exemplary readable storage medium is coupled to a processor, enabling the processor to read information from and write information to the readable storage medium. Of course, the readable storage medium can also be a component of the processor. The processor and the readable storage medium can reside in an Application Specific Integrated Circuit (ASIC). Alternatively, the processor and the readable storage medium can exist as discrete components in the device.

[0235] The division of units is merely a logical functional division; in actual implementation, there may be other division methods. For example, multiple units or components may be combined or integrated into another system, or some features may be ignored or not executed. Furthermore, the coupling or direct coupling or communication connection shown or discussed may be indirect coupling or communication connection through some interfaces, devices, or units, and may be electrical, mechanical, or other forms.

[0236] The units described as separate components may or may not be physically separate. The components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the units can be selected to achieve the purpose of this embodiment according to actual needs.

[0237] In addition, the functional units in the various embodiments of the present invention can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit.

[0238] If a function is implemented as a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of this invention, or the part that contributes to the prior art, or a part of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods of the various embodiments of this invention. The aforementioned storage medium includes various media capable of storing program code, such as USB flash drives, portable hard drives, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks.

[0239] Those skilled in the art will understand that all or part of the steps of the above-described method embodiments can be implemented by hardware related to program instructions. The aforementioned program can be stored in a computer-readable storage medium. When executed, the program performs the steps of the above-described method embodiments; and the aforementioned storage medium includes various media capable of storing program code, such as ROM, RAM, magnetic disks, or optical disks.

[0240] Finally, it should be noted that other embodiments of the invention will readily occur to those skilled in the art upon consideration of the specification and practice of the invention disclosed herein. This invention is intended to cover any variations, uses, or adaptations of the invention that follow the general principles of the invention and include common knowledge or customary techniques in the art not disclosed herein, and is not limited to the precise structures described above and shown in the accompanying drawings, and various modifications and changes can be made without departing from its scope.

Claims

1. A vehicle cockpit control method based on user rhythm, characterized in that, include: The system acquires the current moment and the current user physiological signal, and determines the current user physiological state based on the current moment, the user physiological signal, and a pre-constructed user rhythm model. The user rhythm model includes multiple rhythmic time periods, each rhythmic time period having a corresponding rhythmic physiological state, which is used to characterize the user's historical physiological state pattern within the rhythmic time period. Based on preset mapping rules, the target mode of the vehicle cabin is determined according to the user's physiological state; wherein, the mapping rules represent cabin modes matched to different user physiological states, and the target mode is the cabin mode matched to the user's physiological state. According to the target mode, control at least one control parameter of the vehicle cabin.

2. The method according to claim 1, characterized in that, Based on the current time, the user's physiological signals, and a pre-built user rhythm model, the current user physiological state is determined, including: Based on the current time and the user's circadian rhythm model, a target circadian rhythm period corresponding to the current time is determined; wherein, the target circadian rhythm period is one of multiple circadian rhythm periods; The user's physiological state is determined based on the user's physiological signals and the rhythmic physiological state corresponding to the target rhythmic period.

3. The method according to claim 2, characterized in that, Based on the user's physiological signals and the rhythmic physiological state corresponding to the target rhythmic time period, the user's physiological state is determined, including: If it is determined that the physiological state represented by the user's physiological signal matches the rhythmic physiological state corresponding to the target rhythmic time period, then the user's physiological state is determined to be the rhythmic physiological state corresponding to the target rhythmic time period. Otherwise, the user's physiological state is obtained by extracting state features based on the user's physiological signals.

4. The method according to claim 3, characterized in that, If it is determined that the physiological state represented by the user's physiological signal does not match the rhythmic physiological state corresponding to the target rhythmic time period, the method further includes: The user rhythm model is dynamically updated based on the user's physiological signals.

5. The method according to claim 1, characterized in that, Before acquiring the current moment and the current user physiological signals, the method further includes: Acquire user behavior data set and sunshine duration information; wherein, the user behavior data set includes the user's daily routine behavior at different times; the sunshine duration information is used to characterize the sunshine pattern of the geographical area where the vehicle is located; The user rhythm model is constructed based on the user behavior data set and the sunshine duration information.

6. The method according to claim 5, characterized in that, Based on the user behavior data set and the solar radiation time series information, the user circadian rhythm model is constructed, including: Based on the user behavior data set and the sunshine duration information, multiple rhythmic time periods are obtained; Based on the user behavior data set, determine the rhythmic physiological state corresponding to each rhythmic time period; The user rhythm model is constructed based on the multiple rhythmic time periods and the corresponding rhythmic physiological states of each rhythmic time period.

7. The method according to any one of claims 1-6, characterized in that, According to the target mode, at least one control parameter of the vehicle cabin is controlled, including at least one of the following: The color temperature of the lights in the vehicle cabin is controlled to a color temperature parameter corresponding to the target mode; Control the audio volume in the vehicle cabin to the volume parameter corresponding to the target mode; The air conditioning parameters in the vehicle cabin are controlled to correspond to the target mode, and the air conditioning parameters include at least one of the following: air conditioning mode, air conditioning fan speed, and air conditioning temperature. The seat posture in the vehicle cabin is controlled to correspond to the seat parameters of the target mode.

8. The method according to any one of claims 1-6, characterized in that, The method further includes: In response to the user's adjustment of the cockpit mode, adjustment information is generated; The user rhythm model is dynamically updated based on the adjustment information.

9. A vehicle cockpit control device based on user rhythm, characterized in that, include: The processing module is used to acquire the current time and the current user physiological signal, and determine the current user physiological state based on the current time, the user physiological signal and the pre-constructed user rhythm model; wherein, the user rhythm model includes multiple rhythm time periods, each rhythm time period has a corresponding rhythm physiological state, and the rhythm physiological state is used to characterize the user's historical physiological state pattern within the rhythm time period; The processing module is further configured to determine the target mode of the vehicle cabin based on the user's physiological state and a preset mapping rule; wherein the target mode is a cabin mode that matches the user's physiological state. A control module is used to control at least one control parameter of the vehicle cabin according to the target mode.

10. An electronic device, characterized in that, include: Memory, processor; The memory stores computer-executed instructions; The processor executes computer execution instructions stored in the memory, causing the processor to perform the method as described in any one of claims 1-8.

11. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores computer-executable instructions, which, when executed by a processor, are used to implement the method as described in any one of claims 1-8.

12. A computer program product, characterized in that, Includes a computer program that, when executed by a processor, implements the method of any one of claims 1-8.

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