Method, device, equipment and program product for regulating oxygen concentration in a flying car cabin

Abstract

The application discloses a flying car cabin oxygen concentration regulation method, device, equipment and program product, comprising: obtaining the cabin environment parameters, the current flight height and the passenger physiological parameters of the flying car; determining the oxygen supply demand level of the flying car according to the cabin environment parameters and the passenger physiological parameters; determining the target oxygen supply strategy according to the current flight height and the oxygen supply demand level, and regulating the oxygen concentration of the target flying car through the air circulation system and / or the oxygen generation and supply system. The application realizes dynamic and accurate adjustment of the oxygen concentration of the flying car, guarantees the breathing safety of the passengers, and can be applied to the technical field of flying cars.

Description

Technical Field

[0001] This invention relates to the field of flying car technology, and in particular to a method, device, equipment and program for regulating oxygen concentration in a flying car cabin. Background Technology

[0002] With the rapid development of the low-altitude economy, flying cars, as a new type of transportation that combines ground driving and low-altitude flight capabilities, are finding increasingly wider applications. However, when flying at high altitudes, flying cars face extreme environments of low air pressure, low temperature, and low oxygen, among which insufficient oxygen concentration in the cabin is a key issue that directly threatens the lives of the occupants.

[0003] In existing technologies, traditional civil aircraft oxygen supply systems mostly employ high-pressure oxygen storage or chemical oxygen generation methods. These systems are bulky and heavy, and their oxygen flow rate regulation precision is low, making them unsuitable for the lightweight and miniaturized design requirements of flying cars. Meanwhile, some small general aviation aircraft use simple pressurized oxygen supply schemes that can only replenish oxygen at a fixed pressure, unable to dynamically adjust the oxygen concentration according to the current flight altitude and the physiological state of the passengers. This easily leads to the risk of oxygen poisoning due to excessively high cabin oxygen concentration or altitude sickness due to excessively low oxygen concentration, exhibiting significant deficiencies in adaptability and safety. Furthermore, existing oxygen supply systems have poor coordination with cabin air conditioning and pressurization systems, often operating independently, resulting in high system energy consumption. In emergency situations such as sudden depressurization or oxygen generation module failure, they cannot respond quickly enough to ensure the breathing safety of the passengers.

[0004] The above problems urgently need to be addressed. Summary of the Invention

[0005] The purpose of this invention is to at least partially solve one of the technical problems existing in the prior art.

[0006] Therefore, one objective of this invention is to provide a method for regulating oxygen concentration in the cabin of a flying car. This method determines the oxygen demand level based on the cabin environmental parameters and occupant physiological parameters of the flying car, and then determines the target oxygen supply strategy in combination with the current flight altitude. This achieves dynamic and precise regulation of oxygen concentration in the flying car, ensuring the breathing safety of the occupants while meeting the design requirements of lightweight and low energy consumption of the flying car.

[0007] Another objective of this invention is to provide an oxygen concentration control device for a flying car cabin.

[0008] To achieve the above-mentioned technical objectives, the technical solutions adopted in the embodiments of the present invention include: On one hand, embodiments of the present invention provide a method for regulating oxygen concentration in a flying car cabin, comprising the following steps: Acquire cabin environmental parameters, current flight altitude, and occupant physiological parameters of the flying car; The oxygen supply requirement level of the flying car is determined based on the cabin environment parameters and the occupant physiological parameters. The target oxygen supply strategy is determined based on the current flight altitude and the oxygen demand level, and the oxygen concentration of the target flying car is regulated through the air circulation system and / or oxygen generation and supply system.

[0009] Furthermore, in one embodiment of the present invention, determining the oxygen supply requirement level of the flying car based on the cabin environment parameters and the occupant physiological parameters specifically includes: The cabin environment time series data is determined based on the cabin environment parameters at multiple consecutive moments, and the occupant physiological time series data is determined based on the occupant physiological parameters at multiple consecutive moments. The cabin environment time series data and the occupant physiological time series data are input into a pre-trained oxygen demand prediction model to obtain the oxygen demand level. The oxygen demand prediction model is trained through the following steps: Obtain time-series samples of the cabin environment and occupant physiological time-series samples of the sample flying car in the test scenario, and determine the corresponding oxygen supply demand labels through manual annotation; The cabin environment time series samples and the occupant physiological time series samples are input into a pre-constructed multi-branch LSTM neural network to obtain the predicted oxygen demand level. The loss value is determined based on the predicted oxygen demand level and the oxygen demand label; The parameters of the multi-branch LSTM neural network are updated using the backpropagation algorithm based on the loss value to obtain the trained oxygen demand prediction model.

[0010] Furthermore, in one embodiment of the present invention, the multi-branch LSTM neural network includes a first LSTM branch, a second LSTM branch, a feature fusion layer, and a fully connected layer. The step of inputting the cabin environment time-series samples and the occupant physiological time-series samples into the pre-constructed multi-branch LSTM neural network to obtain the predicted oxygen demand level specifically includes: The cockpit environment time series sample and the occupant physiological time series sample are respectively input into the first LSTM branch and the second LSTM branch to perform hidden state calculation, so as to obtain the cockpit environment hidden state vector and the occupant physiological hidden state vector. The feature fusion layer performs feature fusion on the cabin environment latent state vector and the occupant physiological latent state vector based on the self-attention mechanism to obtain a fused feature vector. The fused feature vector is mapped to the predicted oxygen demand level through the fully connected layer.

[0011] Furthermore, in one embodiment of the present invention, determining the target oxygen supply strategy based on the current flight altitude and the oxygen demand level specifically includes: Determine the altitude range of the flying car based on the current flight altitude; When the oxygen demand level is the normal demand level and the altitude range is the low altitude range, the target oxygen supply strategy is determined to be to introduce external air through the air circulation system. When the oxygen demand level is the normal demand level and the altitude range is the high-altitude range, the target oxygen supply strategy is determined to be to supply oxygen through the oxygen production and supply system. When the oxygen demand level is an emergency demand level and the altitude range is a low-altitude range, the target oxygen supply strategy is determined to be to introduce external air through the air circulation system and supply oxygen through the oxygen generation and supply system. When the oxygen demand level is an emergency demand level and the altitude range is a high-altitude range, the target oxygen supply strategy is determined to be to generate and supply oxygen through the oxygen generation and supply system and to activate the emergency oxygen source of the oxygen generation and supply system.

[0012] Furthermore, in one embodiment of the present invention, the oxygen generation and supply system includes a molecular sieve oxygen generation unit, a high-pressure oxygen storage tank, and a multi-channel oxygen supply valve group connected in series with the air conditioning fresh air duct. The molecular sieve oxygen generation unit is used to adjust the adsorption-desorption cycle frequency and output oxygen-enriched air according to the oxygen concentration control command. The high-pressure oxygen storage tank is connected in parallel with the molecular sieve oxygen generation unit as an emergency oxygen supply source. The multi-channel oxygen supply valve group corresponds to the air outlets of different cabins of the flying car and is used to realize regional oxygen supply.

[0013] Furthermore, in one embodiment of the present invention, the air circulation system includes a microchannel heat exchanger, an oxygen concentration maintaining filter, and a depressurization gas oxygen recovery device. The microchannel heat exchanger is used to realize heat exchange between the fresh air outside the cabin and the exhaust air inside the cabin. The oxygen concentration maintaining filter is used to filter CO2, water vapor, and pollutants inside the cabin. The depressurization gas oxygen recovery device is used to recover oxygen from the cabin depressurization exhaust gas through an oxygen separation membrane assembly and send it back into the molecular sieve oxygen generation unit.

[0014] Furthermore, in one embodiment of the present invention, the method for regulating oxygen concentration in the cabin of a flying car further includes the following steps: The cabin air pressure of the flying car is regulated by an adaptive air pressure regulation device, so that the cabin air pressure and oxygen partial pressure of the flying car are maintained within a preset safe range.

[0015] On the other hand, embodiments of the present invention provide a flying car cabin oxygen concentration regulation device, comprising: The data acquisition module is used to acquire the cockpit environmental parameters, current flight altitude, and occupant physiological parameters of the flying car; The oxygen demand prediction module is used to determine the oxygen demand level of the flying car based on the cabin environment parameters and the occupant physiological parameters. The oxygen concentration control module is used to determine the target oxygen supply strategy based on the current flight altitude and the oxygen demand level, and to control the oxygen concentration of the target flying car through the air circulation system and / or the oxygen generation and supply system.

[0016] On the other hand, embodiments of the present invention provide an electronic device, including: At least one processor; At least one memory for storing at least one program; When the at least one program is executed by the at least one processor, the at least one processor implements the above-described method for regulating oxygen concentration in a flying car cabin.

[0017] On the other hand, embodiments of the present invention also provide a computer-readable storage medium storing a processor-executable computer program that, when executed by a processor, implements the above-described method for regulating oxygen concentration in a flying car cabin.

[0018] On the other hand, embodiments of the present invention also provide a computer program product, including a computer program that, when executed by a processor, implements the above-described method for regulating oxygen concentration in a flying car cabin.

[0019] The advantages and beneficial effects of the present invention will be set forth in part in the description which follows, and in part will be obvious from the description, or may be learned by practice of the invention: This invention acquires cabin environmental parameters, current flight altitude, and occupant physiological parameters of the flying car. Based on these parameters, it determines the flying car's oxygen demand level and, based on the current flight altitude and oxygen demand level, determines a target oxygen supply strategy. The oxygen concentration of the target flying car is then regulated through an air circulation system and / or an oxygen generation and supply system. This invention determines the oxygen demand level based on the flying car's cabin environmental parameters and occupant physiological parameters, and then, combined with the current flight altitude, determines the target oxygen supply strategy. This achieves dynamic and precise adjustment of the flying car's oxygen concentration, ensuring occupant breathing safety while meeting the flying car's lightweight and low-energy consumption design requirements. Attached Figure Description

[0020] To more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings used in the embodiments of the present invention are described below. It should be understood that the drawings described below are only for the convenience of clearly describing some embodiments of the technical solutions of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0021] Figure 1 A flowchart illustrating the steps of a method for regulating oxygen concentration in a flying car cabin, as provided in an embodiment of the present invention; Figure 2 A structural block diagram of an oxygen concentration regulation device for a flying car cabin provided in an embodiment of the present invention; Figure 3 This is a structural block diagram of an electronic device provided in an embodiment of the present invention. Detailed Implementation

[0022] To make the objectives, technical solutions, and advantages of this invention clearer, the invention will be further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention. In the following description, when referring to the accompanying drawings, unless otherwise indicated, the same numbers in different drawings represent the same or similar elements. The embodiments described in the following exemplary embodiments do not represent all embodiments consistent with the embodiments of this invention; they are merely examples of apparatuses and methods consistent with some aspects of the embodiments of this invention as detailed in the appended claims.

[0023] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention pertains. The terminology used herein is for the purpose of describing embodiments of the invention only and is not intended to limit the invention.

[0024] The oxygen concentration regulation method for a flying car cabin provided in this invention can be applied to a terminal, a server, or software running on a terminal or server. In some embodiments, the terminal can be a smartphone, tablet, laptop, desktop computer, smart speaker, smartwatch, or vehicle terminal, but is not limited to these. The server can be configured as an independent physical server, a server cluster or distributed system composed of multiple physical servers, or a cloud server providing basic cloud computing services such as cloud services, cloud databases, cloud computing, cloud functions, cloud storage, network services, cloud communication, middleware services, domain name services, security services, CDN, and big data and artificial intelligence platforms. The server can also be a node server in a blockchain network. The software can be an application that implements the oxygen concentration regulation method for a flying car cabin, but is not limited to the above forms.

[0025] This invention can be used in a wide variety of general-purpose or special-purpose computer system environments or configurations. Examples include: personal computers, server computers, handheld or portable devices, tablet devices, multiprocessor systems, microprocessor-based systems, set-top boxes, programmable consumer electronics, network PCs, minicomputers, mainframe computers, and distributed computing environments including any of the above systems or devices. This invention can be described in the general context of computer-executable instructions, such as program modules, that are executed by a computer. Generally, program modules include routines, programs, objects, components, data structures, etc., that perform specific tasks or implement specific abstract data types. This invention can also be practiced in distributed computing environments where tasks are performed by remote processing devices connected via a communication network. In distributed computing environments, program modules can reside in local and remote computer storage media, including storage devices.

[0026] It should be noted that in various specific embodiments of the present invention, when processing data related to user identity or characteristics, such as user information, user behavior data, user historical data, and user parking space location information, user permission or consent is obtained first. Furthermore, the collection, use, and processing of this data comply with relevant laws, regulations, and standards. In addition, when embodiments of the present invention require access to sensitive personal information of users, separate permission or consent from the user is obtained through pop-ups or redirection to a confirmation page. Only after obtaining the user's separate permission or consent is the necessary user-related data for the normal operation of the embodiments of the present invention acquired.

[0027] Reference Figure 1 This invention provides a method for regulating oxygen concentration in a flying car cabin, specifically including the following steps: S101. Obtain the cockpit environmental parameters, current flight altitude, and occupant physiological parameters of the flying car; S102. Determine the oxygen supply requirement level of the flying car based on cabin environmental parameters and occupant physiological parameters; S103. Determine the target oxygen supply strategy based on the current flight altitude and oxygen demand level, and regulate the oxygen concentration of the target flying car through the air circulation system and / or oxygen generation and supply system.

[0028] This invention determines the oxygen demand level based on the cabin environment parameters and occupant physiological parameters of the flying car, and then determines the target oxygen supply strategy based on the current flight altitude, thereby achieving dynamic and precise adjustment of the oxygen concentration of the flying car, ensuring the breathing safety of the occupants while meeting the design requirements of lightweight and low energy consumption of the flying car.

[0029] In this embodiment of the invention, the cabin environmental parameters, current flight altitude, and occupant physiological parameters of the flying car are obtained through a sensing module, including an oxygen concentration sensor, an air pressure sensor, a CO2 concentration sensor, and a temperature sensor deployed in the cabin; an altitude sensor and an ambient oxygen concentration sensor deployed outside the cabin; and an occupant vital signs monitoring unit (including a blood oxygen saturation sensor and a heart rate sensor) deployed in the seat.

[0030] As a further optional implementation, the oxygen supply requirement level of the flying car is determined based on cabin environmental parameters and occupant physiological parameters, specifically including: S1021. Determine cabin environment time series data based on cabin environment parameters at multiple consecutive moments, and determine occupant physiological time series data based on occupant physiological parameters at multiple consecutive moments. S1022. Input the cabin environment time series data and the occupant physiological time series data into the pre-trained oxygen demand prediction model to obtain the oxygen demand level. The oxygen demand prediction model is trained through the following steps: S201. Obtain time-series samples of the cabin environment and occupant physiological time-series samples of the sample flying car in the test scenario, and determine the corresponding oxygen supply demand labels through manual annotation. S202. Input the cabin environment time series samples and the occupant physiological time series samples into a pre-constructed multi-branch LSTM neural network to obtain the predicted oxygen demand level. S203. Determine the loss value based on the predicted oxygen demand level and oxygen demand label. S204. Update the parameters of the multi-branch LSTM neural network based on the loss value using the backpropagation algorithm to obtain the trained oxygen demand prediction model.

[0031] Specifically, this embodiment of the invention predicts the oxygen demand level of a flying car using a pre-trained oxygen demand prediction model. The process involves acquiring time-series samples of the cabin environment and occupant physiological data from a sample flying car in a test scenario, and manually labeling them to determine the corresponding oxygen demand tags. These samples are then input into a pre-constructed multi-branch LSTM neural network to obtain the predicted oxygen demand level. A loss value is determined based on the predicted oxygen demand level and the oxygen demand tags. The parameters of the multi-branch LSTM neural network are updated using a backpropagation algorithm based on the loss value, completing one iteration of training. Training stops when the number of iterations reaches a preset threshold or the loss value falls below the preset threshold, resulting in a well-trained oxygen demand prediction model.

[0032] As a further optional implementation, the multi-branch LSTM neural network includes a first LSTM branch, a second LSTM branch, a feature fusion layer, and a fully connected layer. The cabin environment time-series samples and occupant physiological time-series samples are input into the pre-constructed multi-branch LSTM neural network to obtain a predicted oxygen demand level, specifically including: S2021. Input the cabin environment time series sample and the occupant physiological time series sample into the first LSTM branch and the second LSTM branch respectively to perform hidden state calculation, and obtain the cabin environment hidden state vector and the occupant physiological hidden state vector. S2022. The feature fusion layer performs feature fusion on the cabin environment latent state vector and the occupant physiological latent state vector based on the self-attention mechanism to obtain the fused feature vector. S2023. The fused feature vector is mapped to the predicted oxygen demand level through a fully connected layer.

[0033] Specifically, in this embodiment of the invention, the first LSTM branch and the second LSTM branch are used to calculate the hidden state of the cabin environment time series samples and the occupant physiological time series samples, respectively. The association between the cabin environment parameters and the occupant physiological parameters and the oxygen supply demand is learned, and the cabin environment hidden state vector and the occupant physiological hidden state vector are obtained. Then, based on the self-attention mechanism, the cabin environment hidden state vector and the occupant physiological hidden state vector are fused to dynamically adjust the influence of the cabin environment parameters and the occupant physiological parameters on the oxygen supply demand. Finally, the fused feature vector is mapped to the predicted oxygen supply demand level through a fully connected layer.

[0034] As an optional implementation, a target oxygen supply strategy is determined based on the current flight altitude and oxygen demand level, which specifically includes: S1031. Determine the altitude range of the flying car based on the current flight altitude; S1032. When the oxygen demand level is the normal demand level and the altitude range is the low altitude range, the target oxygen supply strategy is to introduce external air through the air circulation system. S1033. When the oxygen demand level is the normal demand level and the altitude range is the high altitude range, the target oxygen supply strategy is determined to be to produce and supply oxygen through the oxygen production and supply system. S1034. When the oxygen demand level is the emergency demand level and the altitude range is the low altitude range, the target oxygen supply strategy is to introduce external air through the air circulation system and supply oxygen through the oxygen production and supply system. S1035. When the oxygen demand level is the emergency demand level and the altitude range is the high-altitude range, the target oxygen supply strategy is to generate and supply oxygen through the oxygen generation and supply system and activate the emergency oxygen source of the oxygen generation and supply system.

[0035] Specifically, when the oxygen demand level is at the normal demand level and the altitude range is low altitude, the molecular sieve oxygen generator is shut down, and only fresh air from outside is introduced through the air circulation system to maintain the oxygen concentration inside the cabin consistent with the outside. When the oxygen demand level is at the normal demand level and the altitude range is high altitude, the molecular sieve oxygen generator is activated, the adsorption-desorption cycle frequency is adjusted to low frequency mode, and oxygen-enriched air is mixed with fresh air and sent into the cabin. The oxygen concentration at the air outlet of the occupant area is controlled to 22%-23% through the multi-channel oxygen supply valve group. When the oxygen demand level is at the emergency demand level, the circulation frequency of the molecular sieve oxygen generator is increased to high frequency mode. If the altitude range is low altitude, outside air is introduced through the air circulation system at the same time. If the altitude range is high altitude, the emergency oxygen supply source of the oxygen generation and supply system needs to be activated. Through a zoned oxygen supply strategy, the oxygen supply air volume is increased in densely populated areas. In addition, the air pressure coordination module is activated simultaneously to maintain the cabin air pressure at 0.85atm±0.05atm, so that the partial pressure of oxygen in the cabin is stabilized at 160-170mmHg.

[0036] As an optional implementation, the oxygen generation and supply system includes a molecular sieve oxygen generation unit connected in series with the air conditioning fresh air duct, a high-pressure oxygen storage tank, and a multi-channel oxygen supply valve group. The molecular sieve oxygen generation unit is used to adjust the adsorption-desorption cycle frequency and output oxygen-enriched air according to the oxygen concentration control command. The high-pressure oxygen storage tank is connected in parallel with the molecular sieve oxygen generation unit as an emergency oxygen source. The multi-channel oxygen supply valve group corresponds to the air outlets of different cabins of the flying car and is used to realize regional oxygen supply.

[0037] Specifically, the oxygen generation and supply module includes a miniaturized pressure swing adsorption (PSA) molecular sieve oxygen generation unit connected in series with the air conditioning fresh air duct, a lightweight carbon fiber high-pressure oxygen storage tank, and a multi-channel oxygen supply valve group. The molecular sieve oxygen generation unit adjusts the adsorption-desorption cycle frequency through instructions from the core control module to output oxygen-enriched air with a concentration of 90%-95%. The high-pressure oxygen storage tank is connected in parallel with the molecular sieve oxygen generation unit as an emergency oxygen source. The multi-channel oxygen supply valve group is equipped with air outlets corresponding to different areas of the cabin to achieve regional oxygen supply.

[0038] As a further optional implementation, the air circulation system includes a microchannel heat exchanger, an oxygen concentration maintaining filter, and a depressurization gas oxygen recovery device. The microchannel heat exchanger is used to realize heat exchange between the fresh air outside the cabin and the exhaust air inside the cabin. The oxygen concentration maintaining filter is used to filter CO2, water vapor, and pollutants inside the cabin. The depressurization gas oxygen recovery device is used to recover oxygen from the cabin depressurization exhaust gas through the oxygen separation membrane assembly and send it back into the molecular sieve oxygen generation unit.

[0039] Specifically, the air circulation module includes a microchannel heat exchanger, an oxygen concentration maintaining filter, and a depressurization gas oxygen recovery device. The microchannel heat exchanger realizes heat exchange between the fresh air outside the cabin and the exhaust air inside the cabin, recovering heat while pre-treating the fresh air. The oxygen concentration maintaining filter filters CO2, water vapor, and pollutants inside the cabin, reducing oxygen loss. The depressurization gas oxygen recovery device recovers oxygen from the cabin depressurization exhaust gas through an oxygen separation membrane assembly and sends it back into the molecular sieve oxygen generation unit.

[0040] When the target oxygen supply strategy is to introduce external air through the air circulation system and supply oxygen through the oxygen generation and supply system, the air circulation system operates synchronously during the oxygen generation and supply process: the microchannel heat exchanger uses the exhaust air inside the cabin to preheat the fresh air outside the cabin, so that the temperature of the fresh air is close to the temperature inside the cabin before mixing with the oxygen-enriched air; the oxygen concentration maintenance filter filters the air inside the cabin in real time, controlling the CO2 concentration below 0.1%; and the depressurization gas oxygen recovery device recovers oxygen from the depressurization exhaust gas, thereby improving the oxygen utilization rate of the system.

[0041] As an optional implementation, the method for regulating oxygen concentration in the cockpit of a flying car further includes the following steps: S104. The cabin air pressure of the flying car is regulated by the air pressure adaptive regulation device so that the cabin air pressure and oxygen partial pressure of the flying car are maintained within the preset safe range.

[0042] Specifically, the flying car in this embodiment of the invention also includes a pressure coordination module, which specifically includes a cabin sealing enhancement component and a pressure adaptive adjustment device; the sealing enhancement component adopts a multi-layer sealing strip and a pressure self-tightening structure to improve the airtightness of the cabin; the pressure adaptive adjustment device divides the internal space into an open space and a closed space connected to the cabin through a partition component, and uses the pressure difference to drive the partition component to move, automatically adjusting the cabin air pressure to a preset safe range, and working with the oxygen generation and supply module to maintain stable oxygen partial pressure.

[0043] In some optional embodiments, the cabin air pressure and oxygen concentration data are compared in real time. When the air pressure drops and the oxygen partial pressure is lower than 150 mmHg, the air pressure adaptive adjustment device is prioritized to increase the cabin air pressure. If the oxygen partial pressure is still not up to standard after the air pressure is adjusted, the output of oxygen-enriched air from the molecular sieve oxygen generation unit is further increased to avoid energy waste caused by simply supplying oxygen or simply pressurizing.

[0044] In some optional embodiments, the flying car of this invention also includes an emergency support module, specifically including an automatically deployable oxygen mask, an audible and visual alarm, and an emergency control unit; the emergency control unit receives an emergency trigger command from the core control module, controls the oxygen mask to deploy, starts the high-pressure oxygen tank to supply oxygen at full power, and issues a warning signal through the audible and visual alarm.

[0045] Specifically, the system monitors system malfunctions and extreme environmental parameters in real time, and triggers emergency response procedures when the following conditions occur: If the oxygen concentration in the cabin is <19% or the occupant's blood oxygen saturation is <90%, the high-pressure oxygen storage tank will be activated to assist in oxygen supply, increasing the total output of the oxygen generation and supply module by 50%, and a first-level audible and visual alarm will be issued at the same time. Molecular sieve oxygen generation unit failure: Immediately switch to independent oxygen supply from the high-pressure oxygen storage tank, shut off the external circulation pipeline, ensure the lowest oxygen concentration in the crew area through the multi-channel oxygen supply valve group, issue a level two audible and visual alarm and prompt an emergency landing. Sudden cabin depressurization (pressure drop rate > 0.05 atm / s): The emergency control unit controls the automatic deployment of oxygen masks, the high-pressure oxygen tank supplies oxygen at full power, the pressure coordination module initiates the emergency sealing procedure, and the core control module, in conjunction with the flight control system, issues an emergency landing command.

[0046] The method steps of the embodiments of the present invention have been described above. It can be understood that the embodiments of the present invention determine the oxygen demand level based on the cabin environmental parameters and occupant physiological parameters of the flying car, and then determine the target oxygen supply strategy in combination with the current flight altitude, thereby realizing the dynamic and precise adjustment of the oxygen concentration of the flying car, ensuring the breathing safety of the occupants while meeting the design requirements of lightweight and low energy consumption of the flying car.

[0047] Compared with the prior art, the embodiments of the present invention have the following advantages: 1) High precision: By combining multi-dimensional sensing data, the oxygen concentration is dynamically adjusted to stabilize the oxygen concentration in the cabin within the optimal range of 21%±1%. At the same time, the oxygen supply strategy in different areas meets the personalized needs of different occupants and effectively avoids the risk of oxygen poisoning and hypoxia. 2) Lightweight and low energy consumption: The system adopts a miniaturized PSA molecular sieve oxygen generation unit and a lightweight carbon fiber oxygen storage tank, which reduces the overall weight of the system compared to traditional aviation oxygen supply systems. Through pressure-oxygen concentration coordinated control, waste heat recovery and depressurization oxygen recovery technology, the system energy consumption is reduced and the oxygen utilization rate is improved, which is suitable for the design requirements of flying cars. 3) High reliability: Construct a dual oxygen supply architecture of "primary oxygen generation + emergency oxygen storage" and a multi-module collaborative emergency protection procedure. In extreme conditions such as equipment failure and sudden depressurization, it can respond quickly and ensure the breathing safety of passengers. 4) Strong compatibility: It works closely with the cockpit sealing, air conditioning and flight control system of flying cars, and realizes multi-system linkage through standardized data interfaces. It can be adapted to different models of eVTOL flying cars and has a wide range of application prospects.

[0048] Reference Figure 2 This invention provides a device for regulating oxygen concentration in a flying car cabin, comprising: The data acquisition module is used to acquire the cockpit environmental parameters, current flight altitude, and occupant physiological parameters of the flying car; The oxygen demand prediction module is used to determine the oxygen demand level of the flying car based on cabin environmental parameters and occupant physiological parameters. The oxygen concentration control module is used to determine the target oxygen supply strategy based on the current flight altitude and oxygen demand level, and to control the oxygen concentration of the target flying car through the air circulation system and / or oxygen generation and supply system.

[0049] It is understood that the content of the above method embodiments is applicable to the present device embodiments. The specific functions implemented by the present device embodiments are the same as those of the above method embodiments, and the beneficial effects achieved are also the same as those achieved by the above method embodiments.

[0050] Reference Figure 3 This invention provides an electronic device, comprising: At least one processor; At least one memory for storing at least one program; When the above-mentioned at least one program is executed by the above-mentioned at least one processor, the above-mentioned at least one processor implements the above-mentioned method for regulating oxygen concentration in a flying car cabin.

[0051] It is understood that the content of the above method embodiments is applicable to this device embodiment. The specific functions implemented by this device embodiment are the same as those of the above method embodiments, and the beneficial effects achieved are also the same as those achieved by the above method embodiments.

[0052] This invention also provides a computer-readable storage medium storing a processor-executable computer program that, when executed by a processor, implements the above-described method for regulating oxygen concentration in a flying car cabin.

[0053] This invention provides a computer-readable storage medium that can execute a method for regulating oxygen concentration in a flying car cabin provided in an embodiment of the invention. It can execute any combination of the steps in the method embodiment and has the corresponding functions and beneficial effects of the method.

[0054] This invention also provides a computer program product, including a computer program that, when executed by a processor, implements the above-described method for regulating oxygen concentration in a flying car cabin.

[0055] It is understood that the content of the above method embodiments is applicable to the embodiments of this program product. The specific functions implemented by the embodiments of this program product are the same as those of the above method embodiments, and the beneficial effects achieved are also the same as those achieved by the above method embodiments.

[0056] Memory, as a non-transitory computer-readable storage medium, can be used to store non-transitory software programs and non-transitory computer-executable programs. Furthermore, memory may include high-speed random access memory, and may also include non-transitory memory, such as at least one disk storage device, flash memory device, or other non-transitory solid-state storage device. In some embodiments, memory may optionally include memory remotely located relative to the processor, and these remote memories can be connected to the processor via a network. Examples of such networks include, but are not limited to, the Internet, intranets, local area networks, mobile communication networks, and combinations thereof.

[0057] The embodiments described in this invention are for the purpose of more clearly illustrating the technical solutions of the embodiments of this invention, and do not constitute a limitation on the technical solutions provided by the embodiments of this invention. As those skilled in the art will know, with the evolution of technology and the emergence of new application scenarios, the technical solutions provided by the embodiments of this invention are also applicable to similar technical problems.

[0058] The terms "first," "second," "third," "fourth," etc. (if present) in the specification and accompanying drawings of this invention are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence. It should be understood that such data can be interchanged where appropriate so that embodiments of the invention described herein can be implemented in orders other than those illustrated or described herein. Furthermore, the terms "comprising" and "having," and any variations thereof, are intended to cover a non-exclusive inclusion; for example, a process, method, system, product, or apparatus that comprises a series of steps or units is not necessarily limited to those steps or units explicitly listed, but may include other steps or units not explicitly listed or inherent to such processes, methods, products, or apparatus.

[0059] In some alternative embodiments, the functions / operations mentioned in the block diagrams may not occur in the order shown in the operation diagrams. For example, depending on the functions / operations involved, two consecutively shown blocks may actually be executed substantially simultaneously, or the aforementioned blocks may sometimes be executed in reverse order. Furthermore, the embodiments presented and described in the flowcharts of this invention are provided by way of example to provide a more comprehensive understanding of the technology. The disclosed methods are not limited to the operations and logic flows presented herein. Alternative embodiments are contemplated in which the order of various operations is changed and sub-operations described as part of a larger operation are executed independently.

[0060] Furthermore, although the invention has been described in the context of functional modules, it should be understood that, unless otherwise stated, one or more of the aforementioned functions and / or features may be integrated into a single physical device and / or software module, or one or more functions and / or features may be implemented in a separate physical device or software module. It is also understood that a detailed discussion of the actual implementation of each module is unnecessary for understanding the invention. Rather, given the properties, functions, and internal relationships of the various functional modules in the apparatus disclosed herein, the actual implementation of the module will be understood within the scope of conventional skill of an engineer. Therefore, those skilled in the art can implement the invention as set forth in the claims using ordinary techniques without excessive experimentation. It is also understood that the specific concepts disclosed are merely illustrative and not intended to limit the scope of the invention, which is determined by the full scope of the appended claims and their equivalents.

[0061] If the aforementioned functions are implemented as software functional units and sold or used as independent products, they 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 portion 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 described in 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.

[0062] The logic and / or steps represented in the flowchart or otherwise described herein, for example, can be considered as a sequenced list of executable instructions for implementing logical functions, and can be embodied in any computer-readable medium for use by, or in conjunction with, an instruction execution system, apparatus, or device (such as a computer-based system, a processor-including system, or other system that can fetch and execute instructions from, an instruction execution system, apparatus, or device). For the purposes of this specification, "computer-readable medium" can be any means that can contain, store, communicate, propagate, or transmit programs for use by, or in conjunction with, an instruction execution system, apparatus, or device.

[0063] More specific examples (a non-exhaustive list) of computer-readable media include: electrical connections (electronic devices) having one or more wires, portable computer disk drives (magnetic devices), random access memory (RAM), read-only memory (ROM), erasable and editable read-only memory (EPROM or flash memory), fiber optic devices, and portable optical disc read-only memory (CDROM). Furthermore, computer-readable media can even be paper or other suitable media on which the aforementioned program can be printed, because the aforementioned program can be obtained electronically, for example, by optically scanning the paper or other medium, followed by editing, interpreting, or otherwise processing as necessary, and then stored in computer memory.

[0064] It should be understood that various parts of the present invention can be implemented in hardware, software, firmware, or a combination thereof. In the above embodiments, multiple steps or methods can be implemented in software or firmware stored in memory and executed by a suitable instruction execution system. For example, if implemented in hardware, as in another embodiment, it can be implemented using any one or a combination of the following techniques known in the art: discrete logic circuits having logic gates for implementing logical functions on data signals, application-specific integrated circuits (ASICs) having suitable combinational logic gates, programmable gate arrays (PGAs), field-programmable gate arrays (FPGAs), etc.

[0065] In the foregoing description of this specification, references to terms such as "one embodiment," "another embodiment," or "some embodiments" indicate that a specific feature, structure, material, or characteristic described in connection with an embodiment or example is included in at least one embodiment or example of the present invention. In this specification, illustrative expressions of the above terms do not necessarily refer to the same embodiment or example. Furthermore, the specific features, structures, materials, or characteristics described may be combined in any suitable manner in one or more embodiments or examples.

[0066] Although embodiments of the invention have been shown and described, those skilled in the art will understand that various changes, modifications, substitutions and alterations can be made to these embodiments without departing from the principles and spirit of the invention, the scope of which is defined by the claims and their equivalents.

[0067] The above is a detailed description of the preferred embodiments of the present invention. However, the present invention is not limited to the above embodiments. Those skilled in the art can make various equivalent modifications or substitutions without departing from the spirit of the present invention. All such equivalent modifications or substitutions are included within the scope defined by the claims of the present invention.

Claims

1. A method for regulating oxygen concentration in the cabin of a flying car, characterized in that, Includes the following steps: Acquire cabin environmental parameters, current flight altitude, and occupant physiological parameters of the flying car; The oxygen supply requirement level of the flying car is determined based on the cabin environment parameters and the occupant physiological parameters. The target oxygen supply strategy is determined based on the current flight altitude and the oxygen demand level, and the oxygen concentration of the target flying car is regulated through the air circulation system and / or oxygen generation and supply system.

2. The method for regulating oxygen concentration in a flying car cabin according to claim 1, characterized in that, The determination of the oxygen supply requirement level of the flying car based on the cabin environment parameters and the occupant physiological parameters specifically includes: The cabin environment time series data is determined based on the cabin environment parameters at multiple consecutive moments, and the occupant physiological time series data is determined based on the occupant physiological parameters at multiple consecutive moments. The cabin environment time series data and the occupant physiological time series data are input into a pre-trained oxygen demand prediction model to obtain the oxygen demand level. The oxygen demand prediction model is trained through the following steps: Acquire time-series samples of the cabin environment and occupant physiological time-series samples of the sample flying car in the test scenario, and determine the corresponding oxygen supply demand labels through manual annotation; The cabin environment time series samples and the occupant physiological time series samples are input into a pre-constructed multi-branch LSTM neural network to obtain the predicted oxygen demand level. The loss value is determined based on the predicted oxygen demand level and the oxygen demand label; The parameters of the multi-branch LSTM neural network are updated using the backpropagation algorithm based on the loss value to obtain the trained oxygen demand prediction model.

3. The method for regulating oxygen concentration in a flying car cabin according to claim 2, characterized in that, The multi-branch LSTM neural network includes a first LSTM branch, a second LSTM branch, a feature fusion layer, and a fully connected layer. The step of inputting the cabin environment time-series samples and the occupant physiological time-series samples into the pre-constructed multi-branch LSTM neural network to obtain the predicted oxygen demand level specifically includes: The cockpit environment time series sample and the occupant physiological time series sample are respectively input into the first LSTM branch and the second LSTM branch to perform hidden state calculation, so as to obtain the cockpit environment hidden state vector and the occupant physiological hidden state vector. The feature fusion layer performs feature fusion on the cabin environment latent state vector and the occupant physiological latent state vector based on the self-attention mechanism to obtain a fused feature vector. The fused feature vector is mapped to the predicted oxygen demand level through the fully connected layer.

4. The method for regulating oxygen concentration in a flying car cabin according to claim 1, characterized in that, The determination of the target oxygen supply strategy based on the current flight altitude and the oxygen demand level specifically includes: Determine the altitude range of the flying car based on the current flight altitude; When the oxygen demand level is the normal demand level and the altitude range is the low altitude range, the target oxygen supply strategy is determined to be to introduce external air through the air circulation system. When the oxygen demand level is the normal demand level and the altitude range is the high-altitude range, the target oxygen supply strategy is determined to be to supply oxygen through the oxygen production and supply system. When the oxygen demand level is an emergency demand level and the altitude range is a low-altitude range, the target oxygen supply strategy is determined to be to introduce external air through the air circulation system and supply oxygen through the oxygen generation and supply system. When the oxygen demand level is an emergency demand level and the altitude range is a high-altitude range, the target oxygen supply strategy is determined to be to generate and supply oxygen through the oxygen generation and supply system and to activate the emergency oxygen source of the oxygen generation and supply system.

5. The method for regulating oxygen concentration in a flying car cabin according to claim 1, characterized in that, The oxygen generation and supply system includes a molecular sieve oxygen generation unit connected in series with the air conditioning fresh air duct, a high-pressure oxygen storage tank, and a multi-channel oxygen supply valve group. The molecular sieve oxygen generation unit is used to adjust the adsorption-desorption cycle frequency and output oxygen-enriched air according to the oxygen concentration control command. The high-pressure oxygen storage tank is connected in parallel with the molecular sieve oxygen generation unit as an emergency oxygen source. The multi-channel oxygen supply valve group corresponds to the air outlets of different cabins of the flying car and is used to realize regional oxygen supply.

6. The method for regulating oxygen concentration in a flying car cabin according to claim 5, characterized in that, The air circulation system includes a microchannel heat exchanger, an oxygen concentration maintaining filter, and a depressurization gas oxygen recovery device. The microchannel heat exchanger is used to realize heat exchange between the fresh air outside the cabin and the exhaust air inside the cabin. The oxygen concentration maintaining filter is used to filter CO2, water vapor, and pollutants inside the cabin. The depressurization gas oxygen recovery device is used to recover oxygen from the cabin depressurization exhaust gas through an oxygen separation membrane assembly and send it back into the molecular sieve oxygen generation unit.

7. A method for regulating oxygen concentration in a flying car cabin according to any one of claims 1 to 6, characterized in that, The method for regulating oxygen concentration in the cockpit of a flying car also includes the following steps: The cabin air pressure of the flying car is regulated by an adaptive air pressure regulation device, so that the cabin air pressure and oxygen partial pressure of the flying car are maintained within a preset safe range.

8. A device for regulating oxygen concentration in the cockpit of a flying car, characterized in that, include: The data acquisition module is used to acquire the cockpit environmental parameters, current flight altitude, and occupant physiological parameters of the flying car; The oxygen demand prediction module is used to determine the oxygen demand level of the flying car based on the cabin environment parameters and the occupant physiological parameters. The oxygen concentration control module is used to determine the target oxygen supply strategy based on the current flight altitude and the oxygen demand level, and to control the oxygen concentration of the target flying car through the air circulation system and / or the oxygen generation and supply system.

9. An electronic device, characterized in that, include: At least one processor; At least one memory for storing at least one program; When the at least one program is executed by the at least one processor, the at least one processor implements a method for regulating oxygen concentration in a flying car cabin as described in any one of claims 1 to 7.

10. A computer program product, comprising a computer program, characterized in that, When the computer program is executed by the processor, it implements a method for regulating oxygen concentration in a flying car cabin as described in any one of claims 1 to 7.

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