Self-adaptive environment regulation and control method and device, computer equipment, readable storage medium and program product

Abstract

The invention relates to a self-adaptive environment regulation and control method and device, computer equipment, a computer readable storage medium and a computer program product. The method comprises the following steps: acquiring physiological information and behavior information of passengers in a cabin, and acquiring external environment information; based on the physiological information, the behavior information and the external environment information, performing analysis and processing to generate real-time demand data of the passenger; and adjusting the environmental parameters of the cabin based on the real-time demand data. By adopting the method, the environment information can be continuously collected, and the cabin environment parameters can be adjusted in real time by interacting with the passengers, so that the cabin environment can be customized according to personal preferences and habits of the passengers, and the method is more personalized.

Description

Technical Field

[0001] The present application relates to the field of intelligent driving technology, and in particular to an adaptive environment control method, device, computer equipment, computer-readable storage medium and computer program product. Background Art

[0002] With the continuous development of artificial intelligence technology, the automotive industry is also accelerating the process of intelligence. Smart cockpit and smart driving are two complementary development routes. With the continuous advancement of science and technology, the integration of smart cockpit and smart driving will be the general trend, and the integration of smart cockpit and smart driving will achieve a more intelligent and efficient driving mode.

[0003] In the prior art, the environmental control and service provision of the car cabin mainly rely on preset fixed modes, which cannot be adaptively adjusted according to the real-time needs of passengers and changes in the external environment. In addition, the services provided by the car cabin lack personalization and cannot be customized according to the personal preferences and habits of passengers. Summary of the invention

[0004] Based on this, it is necessary to provide an adaptive environmental control method, device, computer equipment, computer-readable storage medium and computer program product that can adjust the cabin environment in real time to address the above technical problems.

[0005] In a first aspect, the present application provides an adaptive environment control method, comprising:

[0006] Obtain physiological and behavioral information of passengers in the cabin, and obtain external environment information;

[0007] Analyze and process the physiological information, the behavioral information, and the external environment information to generate real-time demand data of the passenger;

[0008] Based on the real-time demand data, the environmental parameters of the cabin are adjusted.

[0009] In one embodiment, the step of obtaining physiological information and behavioral information of passengers in the cabin and obtaining external environment information includes:

[0010] The heart rate and body temperature of the passenger are detected by means of an integrated biosensing device; the sitting posture and hand gestures of the passenger are detected by means of an integrated camera; the heart rate and body temperature of the passenger constitute the physiological information of the passenger; the sitting posture and hand gestures of the passenger constitute the behavioral information of the passenger; the cabin temperature is detected by means of an integrated cabin temperature sensor; the cabin humidity is detected by means of an integrated cabin humidity sensor; the cabin light is detected by means of an integrated cabin light sensor; the cabin temperature outside is detected by means of an integrated cabin temperature sensor; the cabin humidity outside is detected by means of an integrated cabin humidity sensor; the cabin light outside is detected by means of an integrated cabin light sensor; the cabin temperature, the cabin humidity, the cabin light, the cabin temperature outside, the cabin humidity outside, and the cabin light outside constitute the external environmental information.

[0011] In one embodiment, the analyzing and processing based on the physiological information, the behavioral information and the external environment information to generate the real-time demand data of the passenger includes:

[0012] The physiological information, the behavioral information and the external environment information are input into a pre-trained cabin environment control model to obtain real-time demand data of passengers.

[0013] In one embodiment, the method further comprises:

[0014] Receive a communication connection request from a passenger's smart device and establish a communication connection with the smart device, wherein the communication connection includes at least a Bluetooth connection; receive an environmental parameter adjustment instruction sent by the smart device based on the communication connection, wherein the environmental parameter adjustment instruction carries an environmental parameter adjustment value; and adjust the environmental parameters of the cabin based on the instruction.

[0015] In one embodiment, the method further comprises:

[0016] The passenger's voice data is received through voice recognition technology; the voice data is parsed to obtain the passenger's environmental parameter adjustment instruction, the environmental parameter adjustment instruction carries the environmental parameter adjustment value; based on the instruction, the cabin's environmental parameters are adjusted.

[0017] In one embodiment, the method further comprises:

[0018] Obtain the passenger's music playing history, seat adjustment history, and ambient light setting history; determine target music based on the music playing history and play the target music; determine target adjustment parameters based on the seat adjustment history, and adjust current parameters of the seat to the target adjustment parameters; determine target setting parameters based on the ambient light setting history, and adjust current parameters of the ambient light to the target setting parameters.

[0019] In a second aspect, the present application also provides an adaptive environment control device, comprising:

[0020] An acquisition module is used to acquire physiological information and behavioral information of passengers in the cabin and external environment information;

[0021] A processing module, configured to analyze and process the physiological information, the behavioral information and the external environment information to generate real-time demand data of the passenger;

[0022] The adjustment module is used to adjust the environmental parameters of the cabin based on the real-time demand data.

[0023] In a third aspect, the present application further provides a computer device, including a memory and a processor, wherein the memory stores a computer program, and when the processor executes the computer program, the following steps are implemented:

[0024] Obtain physiological and behavioral information of passengers in the cabin, and obtain external environment information;

[0025] Analyze and process the physiological information, the behavioral information, and the external environment information to generate real-time demand data of the passenger;

[0026] Based on the real-time demand data, the environmental parameters of the cabin are adjusted.

[0027] In a fourth aspect, the present application further provides a computer-readable storage medium having a computer program stored thereon, wherein when the computer program is executed by a processor, the following steps are implemented:

[0028] Obtain physiological and behavioral information of passengers in the cabin, and obtain external environment information;

[0029] Analyze and process the physiological information, the behavioral information, and the external environment information to generate real-time demand data of the passenger;

[0030] Based on the real-time demand data, the environmental parameters of the cabin are adjusted.

[0031] In a fifth aspect, the present application further provides a computer program product, including a computer program, which implements the following steps when executed by a processor:

[0032] Obtain physiological and behavioral information of passengers in the cabin, and obtain external environment information;

[0033] Analyze and process the physiological information, the behavioral information, and the external environment information to generate real-time demand data of the passenger;

[0034] Based on the real-time demand data, the environmental parameters of the cabin are adjusted.

[0035] The above-mentioned adaptive environmental control method, device, computer equipment, computer-readable storage medium and computer program product first obtain the physiological information and behavioral information of the passengers in the cabin and obtain the external environmental information; then analyze and process the physiological information, the behavioral information and the external environmental information to generate the real-time demand data of the passengers; finally, adjust the environmental parameters of the cabin based on the real-time demand data. By continuously collecting environmental information and interacting with passengers to adjust the cabin environmental parameters in real time, the cabin environment can be customized according to the personal preferences and habits of the passengers, making it more personalized. BRIEF DESCRIPTION OF THE DRAWINGS

[0036] In order to more clearly illustrate the technical solutions in the embodiments of the present application or related technologies, the drawings required for use in the embodiments of the present application or related technical descriptions will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other related drawings can be obtained based on these drawings without paying creative work.

[0037] FIG1 is an application environment diagram of an adaptive environment control method in one embodiment;

[0038] Figure 2 A schematic diagram of a process of an adaptive environment control method in one embodiment;

[0039] Figure 3 A schematic diagram of the structure of an adaptive environment control method in an embodiment;

[0040] Figure 4 is a structural block diagram of an adaptive environment control device in an embodiment;

[0041] FIG. 5 is a diagram showing the internal structure of a computer device in one embodiment. DETAILED DESCRIPTION

[0042] In order to make the purpose, technical solution and advantages of the present application more clearly understood, the present application is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present application and are not used to limit the present application.

[0043] The adaptive environmental control method provided in the embodiment of the present application can be applied to the application environment shown in Figure 1. Among them, the terminal 102 communicates with the server 104 through the network. The data storage system can store the data that the server 104 needs to process. The data storage system can be integrated on the server 104, or it can be placed on the cloud or other network servers. The terminal 102 obtains the physiological information and behavioral information of the passengers in the cabin, and obtains the external environment information; the terminal 102 analyzes and processes the physiological information, the behavioral information and the external environment information to generate the real-time demand data of the passengers; the terminal 102 adjusts the environmental parameters of the cabin based on the real-time demand data. Among them, the terminal 102 is a car. The server 104 can be an independent physical server, or it can be a server cluster or distributed system composed of multiple physical servers, or it can be a cloud server that provides cloud computing services.

[0044] In an exemplary embodiment, Figure 2 As shown, an adaptive environment control method is provided, which is described by taking the method applied to the terminal 102 in FIG. 1 as an example, and includes the following steps 202 to 206. Among them:

[0045] Step 202, obtaining physiological information and behavioral information of passengers in the cabin, and obtaining external environment information;

[0046] Among them, physiological information refers to the passenger's physical condition information, and behavioral information refers to the passenger's movements.

[0047] Exemplarily, the body state information and the movements of passengers in the cabin are obtained, and the external environment information is obtained.

[0048] Step 204, analyzing and processing the physiological information, the behavioral information and the external environment information to generate real-time demand data of the passenger;

[0049] Exemplarily, physiological information, behavioral information and external environmental information are input into a trained model, analyzed and processed using the model, and real-time demand data of passengers is output.

[0050] Step 206: Adjust the environmental parameters of the cabin based on the real-time demand data.

[0051] Exemplarily, based on the real-time demand data, the equipment in the cockpit is adaptively adjusted so that the environmental parameters of the cockpit are consistent with the real-time demand data.

[0052] The above-mentioned adaptive environmental control method, device, computer equipment, computer-readable storage medium and computer program product first obtain the physiological information and behavioral information of the passengers in the cabin and obtain the external environmental information; then analyze and process the physiological information, the behavioral information and the external environmental information to generate the real-time demand data of the passengers; finally, adjust the environmental parameters of the cabin based on the real-time demand data. By continuously collecting environmental information and interacting with passengers to adjust the cabin environmental parameters in real time, the cabin environment can be customized according to the personal preferences and habits of the passengers, making it more personalized.

[0053] In an exemplary embodiment, the step of obtaining physiological information and behavioral information of passengers in the cabin and obtaining external environment information includes:

[0054] The heart rate and body temperature of the passenger are detected by means of an integrated biosensing device; the sitting posture and hand gestures of the passenger are detected by means of an integrated camera; the heart rate and body temperature of the passenger constitute the physiological information of the passenger; the sitting posture and hand gestures of the passenger constitute the behavioral information of the passenger; the cabin temperature is detected by means of an integrated cabin temperature sensor; the cabin humidity is detected by means of an integrated cabin humidity sensor; the cabin light is detected by means of an integrated cabin light sensor; the cabin temperature outside is detected by means of an integrated cabin temperature sensor; the cabin humidity outside is detected by means of an integrated cabin humidity sensor; the cabin light outside is detected by means of an integrated cabin light sensor; the cabin temperature, the cabin humidity, the cabin light, the cabin temperature outside, the cabin humidity outside, and the cabin light outside constitute the external environmental information.

[0055] Optionally, the biosensing device includes a heart rate detection device and a body temperature monitoring device.

[0056] Exemplarily, the heart rate and body temperature of the passenger are detected by an integrated heart rate detection device and a body temperature monitoring device; the sitting posture and hand gestures of the passenger are detected by an integrated camera; the heart rate and body temperature of the passenger constitute the physiological information of the passenger; the sitting posture and hand gestures of the passenger constitute the behavioral information of the passenger; the cabin temperature is detected by an integrated cabin temperature sensor; the cabin humidity is detected by an integrated cabin humidity sensor; the cabin light is detected by an integrated cabin light sensor; the outside temperature is detected by an integrated outside temperature sensor; the outside humidity is detected by an integrated outside humidity sensor; the outside light is detected by an integrated outside light sensor; the cabin temperature, the cabin humidity, the cabin light, the outside temperature, the outside humidity and the outside light constitute the external environment information.

[0057] In this embodiment, more comprehensive data can be collected by using a variety of sensors to collect passengers' physiological information, passengers' behavioral information and external environment information.

[0058] In an exemplary embodiment, the analyzing and processing based on the physiological information, the behavioral information and the external environment information to generate the real-time demand data of the passenger includes:

[0059] The physiological information, the behavioral information and the external environment information are input into a pre-trained cabin environment control model to obtain real-time demand data of passengers.

[0060] Exemplarily, the physiological information, the behavioral information and the external environment information are preprocessed to obtain comprehensive information, the comprehensive information is input into a feature extraction model of a pre-trained cabin environment control model to obtain comprehensive features, and the comprehensive features are input into an analysis model of a pre-trained cabin environment control model to obtain real-time demand data.

[0061] In this embodiment, the collected data is processed by the cabin environment control model, and the implementation demand data required by the passengers can be intelligently generated based on the collected data.

[0062] In an exemplary embodiment, the method further comprises:

[0063] Receive a communication connection request from a passenger's smart device and establish a communication connection with the smart device, wherein the communication connection includes at least a Bluetooth connection; receive an environmental parameter adjustment instruction sent by the smart device based on the communication connection, wherein the environmental parameter adjustment instruction carries an environmental parameter adjustment value; and adjust the environmental parameters of the cabin based on the instruction.

[0064] Optionally, smart devices include smartphones, smart watches, tablets, laptops.

[0065] Exemplarily, a Bluetooth connection request is received from a passenger's smartphone, a Bluetooth connection is established with the smart device, an environmental parameter adjustment instruction is received from the passenger's smartphone based on the Bluetooth connection, and a corresponding device is adjusted according to the environmental parameter adjustment value in the environmental parameter adjustment instruction so that the environmental parameters and the environmental parameter adjustment instruction are equal.

[0066] In this embodiment, by interacting with the passenger's smart device to specifically adjust the passenger's preferred cabin environment, more accurate environmental parameter settings can be provided.

[0067] In an exemplary embodiment, the method further comprises:

[0068] The passenger's voice data is received through voice recognition technology; the voice data is parsed to obtain the passenger's environmental parameter adjustment instruction, the environmental parameter adjustment instruction carries the environmental parameter adjustment value; based on the instruction, the cabin's environmental parameters are adjusted.

[0069] Exemplarily, voice data from a passenger is received, the passenger's voice data is parsed, an environmental parameter adjustment instruction of the passenger is obtained, and a corresponding device is adjusted according to the environmental parameter adjustment value in the environmental parameter adjustment instruction so that the environmental parameter and the environmental parameter adjustment instruction are equal.

[0070] In this embodiment, by receiving the voice data of the passenger to adaptively adjust the environmental parameters, more personalized environmental parameters can be provided.

[0071] In an exemplary embodiment, the method further comprises:

[0072] Obtain the passenger's music playing history, seat adjustment history, and ambient light setting history; determine target music based on the music playing history and play the target music; determine target adjustment parameters based on the seat adjustment history, and adjust current parameters of the seat to the target adjustment parameters; determine target setting parameters based on the ambient light setting history, and adjust current parameters of the ambient light to the target setting parameters.

[0073] Exemplarily, a camera is used to capture a passenger's facial image, and the passenger is identified based on facial recognition technology to determine whether there is a historical record setting that matches the passenger in the database. If so, the passenger's music playback history record, seat adjustment history record, and ambient light setting history record are obtained; target music is determined based on the music playback history record and the target music is played; target adjustment parameters are determined based on the seat adjustment history record, and current parameters of the seat are adjusted to the target adjustment parameters; target setting parameters are determined based on the ambient light setting history record, and current parameters of the ambient light are adjusted to the target setting parameters.

[0074] In this embodiment, by retrieving the passenger's historical records to generate the passenger's music playlist, seat adjustment parameters and ambient light setting parameters, a personalized cabin environment can be provided to customers more conveniently.

[0075] In an exemplary embodiment, Figure 3As shown, the heart rate and body temperature of the passenger are detected by the heart rate detection device and body temperature monitoring device integrated in the passenger perception module; the sitting posture and gesture movements of the passenger are detected by the integrated camera; the heart rate and body temperature of the passenger constitute the physiological information of the passenger; the sitting posture and gesture movements of the passenger constitute the behavioral information of the passenger; the cabin temperature is detected by the cabin temperature sensor integrated in the environment perception module; the cabin humidity is detected by the integrated cabin humidity sensor; the cabin light is detected by the integrated cabin light sensor; the outside temperature is detected by the integrated outside temperature sensor; the outside humidity is detected by the integrated outside humidity sensor; the outside light is detected by the integrated outside light sensor; the cabin temperature, the cabin humidity, the cabin light, the outside temperature, the outside humidity and the outside light constitute the external environment information. The physiological information, the behavioral information and the external environment information are preprocessed by a data processing module to obtain comprehensive information, the comprehensive information is input into a feature extraction model of a cabin environment control model pre-trained in the data processing module to obtain comprehensive features, and the comprehensive features are input into an analysis model of a cabin environment control model pre-trained in the data processing module to obtain real-time demand data. The cabin environment control module adjusts the environmental parameters of the cabin based on the real-time demand data. A Bluetooth connection request is received from a passenger's smartphone, a Bluetooth connection is established with a smart device, an environmental parameter adjustment instruction of the passenger's smartphone is received based on the Bluetooth connection, and a corresponding device is adjusted according to the environmental parameter adjustment value in the environmental parameter adjustment instruction so that the environmental parameter and the environmental parameter adjustment instruction are equal. Voice data is received from a passenger, the voice data of the passenger is parsed to obtain the passenger's environmental parameter adjustment instruction, and the corresponding device is adjusted according to the environmental parameter adjustment value in the environmental parameter adjustment instruction so that the environmental parameter and the environmental parameter adjustment instruction are equal. The personalized service providing module uses a camera to collect the passenger's facial image, identifies the passenger based on facial recognition technology, and determines whether there is a historical record setting that meets the target in the database. If so, the passenger's music playing history record, seat adjustment history record, and ambient light setting history record are obtained; the target music is determined based on the music playing history record and the target music is played; the target adjustment parameters are determined based on the seat adjustment history record, and the current parameters of the seat are adjusted to the target adjustment parameters; the target setting parameters are determined based on the ambient light setting history record, and the current parameters of the ambient light are adjusted to the target setting parameters.

[0076] It should be understood that, although the various steps in the flowcharts involved in the above-mentioned embodiments are displayed in sequence according to the indication of the arrows, these steps are not necessarily executed in sequence according to the order indicated by the arrows. Unless there is a clear explanation in this article, the execution of these steps does not have a strict order restriction, and these steps can be executed in other orders. Moreover, at least a part of the steps in the flowcharts involved in the above-mentioned embodiments can include multiple steps or multiple stages, and these steps or stages are not necessarily executed at the same time, but can be executed at different times, and the execution order of these steps or stages is not necessarily to be carried out in sequence, but can be executed in turn or alternately with other steps or at least a part of the steps or stages in other steps.

[0077] In an exemplary embodiment, Figure 4 As shown, an adaptive environment control device is provided, including: an acquisition module, a processing module and an adjustment module, wherein:

[0078] An acquisition module is used to acquire physiological information and behavioral information of passengers in the cabin and external environment information;

[0079] A processing module, configured to analyze and process the physiological information, the behavioral information and the external environment information to generate real-time demand data of the passenger;

[0080] The adjustment module is used to adjust the environmental parameters of the cabin based on the real-time demand data.

[0081] In an exemplary embodiment, the acquisition module is further used to:

[0082] The heart rate and body temperature of the passenger are detected by means of an integrated biosensing device; the sitting posture and hand gestures of the passenger are detected by means of an integrated camera; the heart rate and body temperature of the passenger constitute the physiological information of the passenger; the sitting posture and hand gestures of the passenger constitute the behavioral information of the passenger; the cabin temperature is detected by means of an integrated cabin temperature sensor; the cabin humidity is detected by means of an integrated cabin humidity sensor; the cabin light is detected by means of an integrated cabin light sensor; the cabin temperature outside is detected by means of an integrated cabin temperature sensor; the cabin humidity outside is detected by means of an integrated cabin humidity sensor; the cabin light outside is detected by means of an integrated cabin light sensor; the cabin temperature, the cabin humidity, the cabin light, the cabin temperature outside, the cabin humidity outside, and the cabin light outside constitute the external environmental information.

[0083] In an exemplary embodiment, the processing module is further configured to:

[0084] The physiological information, the behavioral information and the external environment information are input into a pre-trained cabin environment control model to obtain real-time demand data of passengers.

[0085] In an exemplary embodiment, the processing module is further configured to:

[0086] Receiving a communication connection request from a passenger's smart device, and establishing a communication connection with the smart device, wherein the communication connection includes at least a Bluetooth connection;

[0087] receiving an environmental parameter adjustment instruction sent by the smart device based on the communication connection, wherein the environmental parameter adjustment instruction carries an environmental parameter adjustment value;

[0088] Based on the instructions, the environmental parameters of the cabin are adjusted.

[0089] In an exemplary embodiment, the processing module is further configured to:

[0090] Receive passenger voice data through voice recognition technology;

[0091] parsing the voice data to obtain an environmental parameter adjustment instruction of the passenger, wherein the environmental parameter adjustment instruction carries an environmental parameter adjustment value;

[0092] Based on the instructions, the environmental parameters of the cabin are adjusted.

[0093] In an exemplary embodiment, the processing module is further configured to:

[0094] Obtain the passenger's music playing history, seat adjustment history, and ambient light setting history; determine target music based on the music playing history and play the target music; determine target adjustment parameters based on the seat adjustment history, and adjust current parameters of the seat to the target adjustment parameters; determine target setting parameters based on the ambient light setting history, and adjust current parameters of the ambient light to the target setting parameters.

[0095] Each module in the above-mentioned adaptive environment control device can be implemented in whole or in part by software, hardware and their combination. Each module can be embedded in or independent of the processor in the computer device in the form of hardware, or can be stored in the memory in the computer device in the form of software, so that the processor can call and execute the operations corresponding to each module above.

[0096] In an exemplary embodiment, a computer device is provided, which may be a server, and its internal structure diagram may be shown in FIG5. The computer device includes a processor, a memory, an input / output interface (Input / Output, referred to as I / O) and a communication interface. The processor, the memory and the input / output interface are connected via a system bus, and the communication interface is connected to the system bus via the input / output interface. The processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, a computer program and a database. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The database of the computer device is used to store historical demand data of passengers. The input / output interface of the computer device is used to exchange information between the processor and an external device. The communication interface of the computer device is used to communicate with an external terminal through a network connection. When the computer program is executed by the processor, an adaptive environmental control method is implemented.

[0097] Those skilled in the art will understand that the structure shown in FIG. 5 is merely a block diagram of a partial structure related to the solution of the present application, and does not constitute a limitation on the computer device to which the solution of the present application is applied. The specific computer device may include more or fewer components than shown in the figure, or combine certain components, or have a different arrangement of components.

[0098] In an exemplary embodiment, a computer device is provided, including a memory and a processor, wherein a computer program is stored in the memory, and when the processor executes the computer program, the following steps are implemented:

[0099] Obtain physiological and behavioral information of passengers in the cabin, and obtain external environment information;

[0100] Analyze and process the physiological information, the behavioral information, and the external environment information to generate real-time demand data of the passenger;

[0101] Based on the real-time demand data, the environmental parameters of the cabin are adjusted.

[0102] In one embodiment, when the processor executes the computer program, the processor further implements the following steps:

[0103] The heart rate and body temperature of the passenger are detected by means of an integrated biosensing device; the sitting posture and hand gestures of the passenger are detected by means of an integrated camera; the heart rate and body temperature of the passenger constitute the physiological information of the passenger; the sitting posture and hand gestures of the passenger constitute the behavioral information of the passenger; the cabin temperature is detected by means of an integrated cabin temperature sensor; the cabin humidity is detected by means of an integrated cabin humidity sensor; the cabin light is detected by means of an integrated cabin light sensor; the cabin temperature outside is detected by means of an integrated cabin temperature sensor; the cabin humidity outside is detected by means of an integrated cabin humidity sensor; the cabin light outside is detected by means of an integrated cabin light sensor; the cabin temperature, the cabin humidity, the cabin light, the cabin temperature outside, the cabin humidity outside, and the cabin light outside constitute the external environmental information.

[0104] In one embodiment, when the processor executes the computer program, the processor further implements the following steps:

[0105] The physiological information, the behavioral information and the external environment information are input into a pre-trained cabin environment control model to obtain real-time demand data of passengers.

[0106] In one embodiment, when the processor executes the computer program, the processor further implements the following steps:

[0107] Based on the communication connection, an environmental parameter adjustment instruction sent by the smart device is received, where the environmental parameter adjustment instruction carries an environmental parameter adjustment value; based on the instruction, the environmental parameters of the cockpit are adjusted.

[0108] In one embodiment, when the processor executes the computer program, the processor further implements the following steps:

[0109] The passenger's voice data is received through voice recognition technology; the voice data is parsed to obtain the passenger's environmental parameter adjustment instruction, the environmental parameter adjustment instruction carries the environmental parameter adjustment value; based on the instruction, the cabin's environmental parameters are adjusted.

[0110] In one embodiment, when the processor executes the computer program, the processor further implements the following steps:

[0111] Obtain the passenger's music playing history, seat adjustment history, and ambient light setting history; determine target music based on the music playing history and play the target music; determine target adjustment parameters based on the seat adjustment history, and adjust current parameters of the seat to the target adjustment parameters; determine target setting parameters based on the ambient light setting history, and adjust current parameters of the ambient light to the target setting parameters.

[0112] In one embodiment, a computer readable storage medium is provided, on which a computer program is stored, and when the computer program is executed by a processor, the following steps are implemented:

[0113] Obtain physiological and behavioral information of passengers in the cabin, and obtain external environment information;

[0114] Analyze and process the physiological information, the behavioral information, and the external environment information to generate real-time demand data of the passenger;

[0115] Based on the real-time demand data, the environmental parameters of the cabin are adjusted.

[0116] In one embodiment, when the computer program is executed by a processor, the following steps are also implemented:

[0117] The heart rate and body temperature of the passenger are detected by means of an integrated biosensing device; the sitting posture and hand gestures of the passenger are detected by means of an integrated camera; the heart rate and body temperature of the passenger constitute the physiological information of the passenger; the sitting posture and hand gestures of the passenger constitute the behavioral information of the passenger; the cabin temperature is detected by means of an integrated cabin temperature sensor; the cabin humidity is detected by means of an integrated cabin humidity sensor; the cabin light is detected by means of an integrated cabin light sensor; the cabin temperature outside is detected by means of an integrated cabin temperature sensor; the cabin humidity outside is detected by means of an integrated cabin humidity sensor; the cabin light outside is detected by means of an integrated cabin light sensor; the cabin temperature, the cabin humidity, the cabin light, the cabin temperature outside, the cabin humidity outside, and the cabin light outside constitute the external environmental information.

[0118] In one embodiment, when the computer program is executed by a processor, the following steps are also implemented:

[0119] The physiological information, the behavioral information and the external environment information are input into a pre-trained cabin environment control model to obtain real-time demand data of passengers.

[0120] In one embodiment, when the computer program is executed by a processor, the following steps are also implemented:

[0121] Based on the communication connection, an environmental parameter adjustment instruction sent by the smart device is received, where the environmental parameter adjustment instruction carries an environmental parameter adjustment value; based on the instruction, the environmental parameters of the cockpit are adjusted.

[0122] In one embodiment, when the computer program is executed by a processor, the following steps are also implemented:

[0123] The passenger's voice data is received through voice recognition technology; the voice data is parsed to obtain the passenger's environmental parameter adjustment instruction, the environmental parameter adjustment instruction carries the environmental parameter adjustment value; based on the instruction, the cabin's environmental parameters are adjusted.

[0124] In one embodiment, when the computer program is executed by a processor, the following steps are also implemented:

[0125] Obtain the passenger's music playing history, seat adjustment history, and ambient light setting history; determine target music based on the music playing history and play the target music; determine target adjustment parameters based on the seat adjustment history, and adjust current parameters of the seat to the target adjustment parameters; determine target setting parameters based on the ambient light setting history, and adjust current parameters of the ambient light to the target setting parameters.

[0126] In one embodiment, a computer program product is provided, comprising a computer program, which, when executed by a processor, implements the following steps:

[0127] Obtain physiological and behavioral information of passengers in the cabin, and obtain external environment information;

[0128] Analyze and process the physiological information, the behavioral information, and the external environment information to generate real-time demand data of the passenger;

[0129] Based on the real-time demand data, the environmental parameters of the cabin are adjusted.

[0130] In one embodiment, when the computer program is executed by a processor, the following steps are also implemented:

[0131] The heart rate and body temperature of the passenger are detected by means of an integrated biosensing device; the sitting posture and hand gestures of the passenger are detected by means of an integrated camera; the heart rate and body temperature of the passenger constitute the physiological information of the passenger; the sitting posture and hand gestures of the passenger constitute the behavioral information of the passenger; the cabin temperature is detected by means of an integrated cabin temperature sensor; the cabin humidity is detected by means of an integrated cabin humidity sensor; the cabin light is detected by means of an integrated cabin light sensor; the cabin temperature outside is detected by means of an integrated cabin temperature sensor; the cabin humidity outside is detected by means of an integrated cabin humidity sensor; the cabin light outside is detected by means of an integrated cabin light sensor; the cabin temperature, the cabin humidity, the cabin light, the cabin temperature outside, the cabin humidity outside, and the cabin light outside constitute the external environmental information.

[0132] In one embodiment, when the computer program is executed by a processor, the following steps are also implemented:

[0133] The physiological information, the behavioral information and the external environment information are input into a pre-trained cabin environment control model to obtain real-time demand data of passengers.

[0134] In one embodiment, when the computer program is executed by a processor, the following steps are also implemented:

[0135] Based on the communication connection, an environmental parameter adjustment instruction sent by the smart device is received, where the environmental parameter adjustment instruction carries an environmental parameter adjustment value; based on the instruction, the environmental parameters of the cockpit are adjusted.

[0136] In one embodiment, when the computer program is executed by a processor, the following steps are also implemented:

[0137] The passenger's voice data is received through voice recognition technology; the voice data is parsed to obtain the passenger's environmental parameter adjustment instruction, the environmental parameter adjustment instruction carries the environmental parameter adjustment value; based on the instruction, the cabin's environmental parameters are adjusted.

[0138] In one embodiment, when the computer program is executed by a processor, the following steps are also implemented:

[0139] Obtain the passenger's music playing history, seat adjustment history, and ambient light setting history; determine target music based on the music playing history and play the target music; determine target adjustment parameters based on the seat adjustment history, and adjust current parameters of the seat to the target adjustment parameters; determine target setting parameters based on the ambient light setting history, and adjust current parameters of the ambient light to the target setting parameters.

[0140] A person of ordinary skill in the art can understand that all or part of the processes in the above-mentioned embodiment method can be completed by instructing the relevant hardware through a computer program, and the computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above-mentioned methods. Among them, any reference to the memory, database or other medium used in the embodiments provided in the present application can include at least one of non-volatile memory and volatile memory. Non-volatile memory can include read-only memory (ROM), magnetic tape, floppy disk, flash memory, optical memory, high-density embedded non-volatile memory, resistive random access memory (ReRAM), magnetic random access memory (MRAM), ferroelectric random access memory (FRAM), phase change memory (PCM), graphene memory, etc. Volatile memory can include random access memory (RAM) or external cache memory, etc. As an illustration and not limitation, RAM can be in various forms, such as static random access memory (SRAM) or dynamic random access memory (DRAM). The database involved in each embodiment provided in this application may include at least one of a relational database and a non-relational database. Non-relational databases may include distributed databases based on blockchains, etc., but are not limited to this. The processor involved in each embodiment provided in this application may be a general-purpose processor, a central processing unit, a graphics processor, a digital signal processor, a programmable logic device, a data processing logic device based on quantum computing, an artificial intelligence (AI) processor, etc., but are not limited to this.

[0141] The technical features of the above embodiments may be combined arbitrarily. To make the description concise, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this application.

[0142] The above-described embodiments only express several implementation methods of the present application, and the descriptions thereof are relatively specific and detailed, but they cannot be construed as limiting the scope of the present application. It should be noted that, for a person of ordinary skill in the art, several modifications and improvements can be made without departing from the concept of the present application, and these all belong to the protection scope of the present application. Therefore, the protection scope of the present application shall be subject to the attached claims.

Claims

1. An adaptive environmental control method, characterized in that: The method comprises: Obtain physiological and behavioral information of passengers in the cabin, and obtain external environment information; Analyze and process the physiological information, the behavioral information, and the external environment information to generate real-time demand data of the passenger; Based on the real-time demand data, the environmental parameters of the cabin are adjusted.

2. The method according to claim 1, characterized in that The step of obtaining physiological information and behavioral information of passengers in the cabin and obtaining external environment information includes: The heart rate and body temperature of the passenger are detected by the integrated biosensing device; the sitting posture and hand gestures of the passenger are detected by the integrated camera; the heart rate and body temperature of the passenger constitute the physiological information of the passenger; the sitting posture and hand gestures of the passenger constitute the behavioral information of the passenger; The cabin temperature is detected by an integrated cabin temperature sensor; the cabin humidity is detected by an integrated cabin humidity sensor; the cabin light is detected by an integrated cabin light sensor; The outside temperature is detected by an integrated outside temperature sensor; the outside humidity is detected by an integrated outside humidity sensor; the outside light is detected by an integrated outside light sensor; the inside temperature, the inside humidity, the inside light, the outside temperature, the outside humidity, and the outside light constitute external environmental information.

3. The method according to claim 1, characterized in that The analyzing and processing based on the physiological information, the behavioral information and the external environment information to generate the real-time demand data of the passenger includes: The physiological information, the behavioral information and the external environment information are input into a pre-trained cabin environment control model to obtain real-time demand data of passengers.

4. The method according to claim 1, characterized in that: The method further comprises: Receiving a communication connection request from a passenger's smart device, and establishing a communication connection with the smart device, wherein the communication connection includes at least a Bluetooth connection; receiving an environmental parameter adjustment instruction sent by the smart device based on the communication connection, wherein the environmental parameter adjustment instruction carries an environmental parameter adjustment value; Based on the instructions, the environmental parameters of the cabin are adjusted.

5. The method according to claim 1, characterized in that The method further comprises: Receive passenger voice data through voice recognition technology; parsing the voice data to obtain an environmental parameter adjustment instruction of the passenger, wherein the environmental parameter adjustment instruction carries an environmental parameter adjustment value; Based on the instructions, the environmental parameters of the cabin are adjusted.

6. The method according to claim 1, characterized in that The method further comprises: Obtain passengers' music playing history, seat adjustment history, and ambient light setting history; Determine target music based on the music playing history and play the target music; Determine a target adjustment parameter based on the seat adjustment history record, and adjust the current parameter of the seat to the target adjustment parameter; Based on the atmosphere light setting history record, target setting parameters are determined, and current parameters of the atmosphere light are adjusted to the target setting parameters.

7. An adaptive environmental control device, characterized in that: The device comprises: An acquisition module is used to acquire physiological information and behavioral information of passengers in the cabin and external environment information; A processing module, configured to analyze and process the physiological information, the behavioral information and the external environment information to generate real-time demand data of the passenger; The adjustment module is used to adjust the environmental parameters of the cabin based on the real-time demand data.

8. A computer device comprising a memory and a processor, wherein the memory stores a computer program, wherein: When the processor executes the computer program, the steps of the method according to any one of claims 1 to 6 are implemented.

9. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 6 are implemented.

10. A computer program product, comprising a computer program, characterized in that When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 6 are implemented.

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