313 results about "Sleep time" patented technology

The invention belongs to the technical field of food microorganisms, and relates to lactobacillus plantarum and application thereof in preparation of products for relieving insomnia. The preservation number of the lactobacillus plantarum is GDMCC No: 65061. The lactobacillus plantarum can be applied to efficient fermentation of spina date seed juice, the content of GABA, polypeptide, total phenols and total flavonoids in the spina date seed juice is increased, and the content of spinosin, 6 ''-feruloyl spinosin, jujuboside A, jujuboside B and betulinic acid is increased; the reduction of whole brain coefficient and the increase of liver coefficient caused by long-term insomnia are relieved, the bad condition caused by long-term insomnia in a hippocampus DG region in the brain of the mouse is improved, the sleep time of the mouse is prolonged, and the insomnia symptom of the mouse is relieved; the content of inhibitory neurotransmitters 5-hydroxytryptamine, melatonin and gamma-aminobutyric acid in the hypothalamus of the mouse is increased, the content of excitatory neurotransmitter glutamic acid is reduced, and the reduction of organism immunity and oxidative stress of brain tissues caused by insomnia are relieved.

The present application relates to a device and method for monitoring and early warning Low-power-consumption landslide collapse based on time division multiplexing, comprises: a camera equipment is configured to obtain monitoring images; a RF front-end is configured to transmit and receive radar signals; an intelligent sleep equipment is configured to set sleep time and power down the equipment(s) connected to it to put into sleep mode when the device requires working in a low power consumption mode; a signal processing equipment is configured to realize interference measurement and Doppler detection in a time division multiplexing manner and generate early warning or forecast information; a 5G equipment and an Ethernet port are configured to send the measurement results and monitoring images to a mobile terminal or host computer. The present application realizes the joint work of Doppler detection and interference measurement within one radar device through adaptive time division multiplexing.

The invention relates to the technical field of wireless sensing nodes, and discloses a self-adaptive sleep scheduling method for a wireless sensing node powered by solar energy. According to the method, energy collection data and environmental parameters of a solar cell panel are monitored in real time, an energy prediction model is constructed to generate an energy supply curve, a dynamic sleep time threshold value is calculated according to the energy supply curve and task load priority weight, a multi-stage sleep mode is generated through a fuzzy decision rule, and time-sharing sleep scheduling of communication, sensors and calculation modules is achieved. Meanwhile, a sleep mode can be switched by detecting the emergency degree change of a task queue, an emergency scheduling strategy is started and a standby power supply is activated when energy is insufficient, and data can be recorded to update model parameters to realize self-optimization iteration. According to the method, the energy utilization efficiency and the working stability of the wireless sensing node are improved, and the problems of unstable solar energy supply and unreasonable task scheduling are effectively solved.

There is provided a computer-implemented method for determining sleep misperception of a subject during a sleep session. The method comprises receiving sleep condition information. The sleep condition information comprises at least one of SDB information and insomnia information. The SDB information is representative of a sleep disordered breathing (SDB) condition of the subject based on a number of SDB events of the subject per unit of time. The computer-implemented method comprises receiving sleep quality information representative of a quality of sleep of the sleep session experienced by the subject. The computer-implemented method comprises determining a degree of sleep misperception based on the sleep condition information and the sleep quality information. The sleep misperception is representative of a difference between a subjective total sleep time of the sleep session experienced by the subject and an objective total sleep time of the subject in the sleep session.

The invention discloses a compound composition for improving sleep disorders, which is characterized by comprising the following components: an inhibitory neurotransmitter component, melatonin and a nano-lipid carrier, the nano-lipid carrier comprises phospholipid and cholesterol, the weight ratio of phospholipid to cholesterol is (1-6): 1, the weight ratio of phospholipid to cholesterol is (1-6): 1, and the weight ratio of melatonin to cholesterol is (1-6): 1. The inhibitory neurotransmitter component is wrapped in the nano-lipid carrier to form lipid nanoparticles, and the weight ratio of the inhibitory neurotransmitter component to the nano-lipid carrier is 1: (1-15). The compound composition can be prepared into a compound oral mucosa preparation, can be rapidly disintegrated when encountering saliva in the oral cavity, is good in patient compliance and small in side effect, all the components play a synergistic effect from different mechanisms through multiple target points, and the compound oral mucosa preparation can improve the sleep quality, prolong the sleep time and shorten the sleep latency; and patients with sleep disorders are helped to improve insomnia from the pathologic root.

To provide a game program, a game system, an information processing device, a server, and a game method capable of executing a sleep game suppressing a user's inconvenience from occurring even while a server is under maintenance.SOLUTION: A game program allows a processor to execute the steps of: receiving an instruction regarding acquisition processing of sleep information; recognizing that a server 20 is under maintenance when receiving an instruction; retaining sleep information determined by a user in a memory during maintenance when receiving an instruction; permitting progress of a game on the basis of determined sleep information with communication with the server 20 in which maintenance is completed as an opportunity in a state in which the determined sleep information is retained; and notifying a user of detection of fraudulence when determining that determined sleep information is based on illegal means by comparing a maintenance period with information on a user's sleep time included in determined sleep information.SELECTED DRAWING: Figure 2

Disclosed are techniques for wireless communication. In an aspect, a UE determines a completion time associated with a communication event for a wakeup period, the wakeup period characterized by at least radio frequency (RF) circuitry being set to an active state. The UE schedules a transition from the wakeup period to a sleep period at the completion time, the sleep period characterized by at least the RF circuitry being set to an inactive state. The UE performs the communication event during the wakeup period. The UE transitions from the wakeup period to the sleep period at the completion time in accordance with the scheduling. The UE determines, after the transition from the wakeup period to the sleep period, a wakeup time associated with a next wakeup period.

The invention relates to the technical field of personalized sleep guiding methods, in particular to a self-adaptive personalized sleep guiding method and system and a personalized sleep guiding instrument, and the method comprises the following steps: obtaining multi-dimensional sleep data; performing preprocessing and feature extraction on the multi-dimensional sleep data; constructing a personalized sleep model based on the preprocessing and feature extraction results; generating a sleep guide strategy according to the personalized sleep model; based on the sleep guide strategy, dynamic regulation and control of environment parameters are achieved; obtaining user feedback and updating the personalized sleep model; performing long-term effect evaluation and optimizing system parameters; by introducing a quantum heuristic multi-target award function, multiple sleep indexes can be considered in a quantum superposition state at the same time, and a test result shows that the method has remarkable advantages in multiple indexes such as sleep quality improvement (SQI), sleep time shortening rate (STDR) and deep sleep proportion increase rate (DSIR).

The present disclosure relates to servers, systems, and methods for dynamic risk evaluation using weighted factors. It introduces a decision intelligence-based framework for assessing risk. Traditional methods face challenges like limited data, biases, and static assessments, where the system described herein leverages advanced data analytics, machine learning, and / or predictive modeling to enhance accuracy and personalization. In some embodiments, the system is configured to enable users to enter parameters, targeting criteria, and / or factors for tracking. The system performs risk determination, outputs premiums, and automatically monitors changes in factors over time. In some embodiments, the system enables weightings for factors to be applied automatically, where in some embodiments, AI model are configured to generate the weightings based on predictions. Example factors include heart rate, BMI, and sleep time. In some embodiments, the system is configured to change insurance premiums without human intervention based on changes in life events and / or activity.

The invention discloses a method for diagnosing obstructive sleep apnea hypopnea syndrome, and relates to the technical field of medical diagnos.The method comprises the steps that an airflow curve and an oxyhemoglobin saturation curve of a patient during sleep are collected, all respiratory events are traversed and retrieved from the airflow curve, and according to the occurrence time of each respiratory event, all the respiratory events are determined; finding out a corresponding search window from the blood oxygen saturation curve, calculating the area of the search window of each apnea event, accumulating the areas of all closed areas to obtain an area sum, dividing the area sum by the total sleep time to obtain an index value of the sleep apnea specific hypoxia load, and determining the sleep apnea specific hypoxia load based on the index value and an index threshold value. Obtaining the symptom level of apnea of the patient; the method has the advantages of simple and convenient indexes, rapidness and high accuracy, and can be well applied to screening and diagnosis of the obstructive sleep apnea hypopnea syndrome.

The invention discloses a Doppler frequency offset estimation method and electronic equipment, and relates to the technical field of communication, and the method comprises the step that the electronic equipment communicates with a low-orbit satellite in a discontinuous reception (DRX) mode. Wherein in a discontinuous reception (DRX) mode, the electronic equipment enters a wake-up period when the wake-up moment arrives, the electronic equipment communicates with a low-orbit satellite in the wake-up period, the electronic equipment enters a sleep period when the sleep moment arrives, and the electronic equipment stops communicating with the low-orbit satellite in the sleep period. When the wake-up moment arrives, the electronic device obtains at least one historical Doppler frequency offset value; and the electronic equipment determines a Doppler frequency offset value corresponding to the wake-up moment based on the historical Doppler frequency offset value. In the scheme, the Doppler frequency offset value at the wake-up moment is estimated through the historical Doppler frequency offset value, and the electronic equipment can calculate the Doppler frequency offset value at the current wake-up moment, so that frequency offset compensation can be carried out in time at the current wake-up moment, and the performance of frequency offset compensation is optimized.

The invention discloses a rehabilitation training evaluation method based on dream guidance in combination with myoelectricity monitoring. The method comprises the following steps: collecting and preprocessing electroencephalogram data; analyzing the sleep state and judging whether the sleep state is a deep sleep state; performing stimulation guidance of a deep sleep state; repairing the deep sleep dream; performing real-time myoelectricity monitoring by using myoelectricity monitoring equipment after the patient enters the deep sleep state, and performing motor imagery marking in combination with the electroencephalogram signals; and performing rehabilitation training effect evaluation in combination with the myoelectricity data and the electroencephalogram data. According to the invention, a patient is guided to perform nerve rehabilitation treatment in a mode of monitoring dream by electroencephalogram, so that the sleep time is used for training to improve the training duration, and environmental interference factors can be reduced through deep sleep; the muscle activity effect of the dream guiding part can be judged in an auxiliary mode through the myoelectricity monitoring means, and whether the patient is correctly guided or not is judged in combination with monitoring of the brain electricity on the muscle part.

The invention relates to the technical field of narcolepsy auxiliary diagnosis, in particular to a narcolepsy patient-oriented physiological parameter monitoring method, a medium and a narcolepsy patient-oriented physiological parameter monitoring system. Segmenting the electroencephalogram signal and the electrocardiosignal in each test to obtain a plurality of electroencephalogram signal segments and a plurality of electrocardiosignal segments; obtaining the interference degree of each electrocardiosignal segment; acquiring three stages of each electrocardiosignal segment; the credible weight of the interference degree of each stage of each electrocardiosignal is obtained, and then the credibility of each stage of each electrocardiosignal is obtained; and according to the credibility and the sleep time of each stage of the electrocardiosignal, obtaining the final sleep time of the patient. According to the invention, the interference caused by inadaptation of a patient to a test environment or test equipment is reduced, and the accuracy of obtaining a sleep time result is improved.

The invention relates to the technical field of smart home and health monitoring, and particularly discloses a sleep monitoring control interaction system and method based on artificial intelligence and data fusion, and the system comprises a sensing data acquisition module, a sleep environment recognition module, a mattress adjustment judgment module and a control strategy feedback module. A high-density sensor array network is embedded in a mattress body and is used for detecting pressure distribution data and temperature distribution data at a current sleep time point in real time; the sleep environment at the current sleep time point is further judged, the sleep environment is divided into a single-person sleep environment and a multi-person sleep environment, and the multi-person sleep environment is further divided into an adhesive multi-person sleep environment and a non-adhesive multi-person sleep environment; and finally executing dynamic adjustment strategy analysis. By monitoring and analyzing the pressure distribution in real time, the system can identify the part where a human body is in contact with the mattress and the pressure change, so that the supporting structure of the mattress is dynamically adjusted, and the sleep quality is improved.

The invention relates to an extracellular vesicle composition for aiding sleep as well as a preparation method and application thereof. The composition comprises two or more of passion flower extracellular vesicles, chamomile extracellular vesicles and liquorice extracellular vesicles. According to the extracellular vesicle composition, a combined formula is adopted, and the CL-level of cells is improved, the expression level of GABA related proteins is improved, the expression of brain-derived neurotrophic factors (BDNF) of the cells is promoted, and the synaptic growth of neuronal cells is promoted in a multi-dimensional combined mode that the passiflora edulis is compounded with multiple Chinese herbal medicine extracellular vesicles; the sleep-aiding pillow has the advantages that multi-aspect efficient sleep-aiding effects can be realized, sleep time can be shortened, and sleep quality can be improved. Meanwhile, the extracellular vesicle composition disclosed by the invention adopts nano-scale raw materials, has good permeability, and is more easily absorbed and ingested by cells and skin to play a role.

The invention relates to a sleep monitoring method and device. The method comprises the following steps: acquiring sleep monitoring information of a user in a monitoring period, wherein the sleep monitoring information comprises electroencephalogram data, myoelectricity data and electro-oculogram data; the method further comprises the step of determining user sleep information based on the electroencephalogram data, the myoelectricity data and the electro-oculogram data in the monitoring period, and the user sleep information comprises sleep time information and sleep monitoring information in a sober sleep stage, a non-fast eye movement sleep stage and a fast eye movement sleep stage. In addition, the method further comprises the step of determining sleep time information and sleep monitoring information under three sub-stages of the non-fast eye movement sleep stage in the sleep information of the user based on the electro-oculogram data under the non-fast eye movement sleep stage. Through the mode, the sleep staging distribution condition of the user in the current monitoring period can be determined based on the multi-dimensional data monitored by the user in the current monitoring period, and the sleep conditions of the user in different monitoring periods can be accurately reflected.

The invention relates to the technical field of alarm clocks, in particular to an intelligent alarm clock and a control method thereof. The control method of the intelligent alarm clock comprises the following steps: monitoring and acquiring sleep quality data of a user in a sleep area in real time; outputting a sleep quality report and a corresponding sleep suggestion according to the acquired sleep quality data; before the preset alarm time, starting an awakening mode according to the sleep state of the user; adjusting preset schedule reminding time and preset schedule reminding content according to the weather condition and the real-time traffic condition of the position where the user is located; and controlling to output the adjusted preset schedule reminding content at the adjusted preset schedule reminding time. According to the intelligent alarm clock and the control method thereof, the functions of sleep monitoring and sleep suggestion providing are achieved, the user can be awakened in the appropriate sleep time, the awakening discomfort is reduced, schedule arrangement can be optimized, multiple functions are achieved, and better user experience is provided.

The invention belongs to the technical field of traditional Chinese medicine preparations, and relates to fingered citron-albizia flower compatible traditional Chinese medicine oral liquid for soothing nerves, helping sleep and resisting depression and a preparation method thereof. The oral liquid consists of medicinal materials such as fingered citron, albizia flower, fried jujube kernel, polygala tenuifolia, lily, angelica sinensis, ginseng, radix curcumae, platycladi seed, rhizoma acori graminei and poria cocos, and is supplemented with components such as honeysuckle, liquorice, medlar, honey, phaseolus calcaratus, salvia miltiorrhiza and lophatherum gracile. The preparation method comprises the following steps: stir-frying jujube kernels, soaking medicinal materials, performing double-stage water decoction extraction, performing vacuum concentration, blending honey, performing ultrasonic treatment, performing pasteurization, filling and the like. Animal experiment results show that the traditional Chinese medicine composition is superior to a plurality of contrast groups in the aspects of improving sleep latency, prolonging sleep time, reducing depression-like behaviors, improving sweet water preference and the like, and shows good compatibility synergy and behavior regulation potential.

The invention provides a formula of sleep-aiding essential oil containing cedar himalaya, relates to the technical field of sleep-aiding essential oil, and aims to solve the problems of single effect, poor stability and insufficient skin tolerance of existing sleep-aiding essential oil. The formula comprises the following components in parts by weight: 0.5-5 parts of Himalaya cedar essential oil, 80-95 parts of base oil, 1-10 parts of synergistic sleep-aiding essential oil, at least one of lavender essential oil, chamomile essential oil and sandalwood essential oil, and 0.1-1 part of optional antioxidant. During preparation, the components are ensured to be uniform through a process of stirring at a constant temperature of 25-35 DEG C and mixing at a rotating speed of 200-300rpm, the pH value of the product is 5.5-7.0, the retention rate of the active components is greater than or equal to 90% after the product is stored in a dark place at 25 DEG C for 6 months, and the use mode is that the product is smeared on wrists / necks / soles 1-2 hours before sleep, and 0.5-2mL of the product is smeared on each time. Tests show that the sleep time of insomnia people can be shortened to 15-22 min after the essential oil is continuously used for 28 days, the PSQI score is reduced by 40%-54%, the skin irritation is zero, the essential oil is suitable for preparing external sleep-aiding essential oil cream, ball bottles and other products, and a safe and efficient solution is provided for sleep disorder people.

The invention provides a sleep-promoting grease composition as well as a preparation method and application thereof, and relates to the technical field of edible oil. The grease composition comprises, by weight, 40-50 parts of grease and 45-60 parts of auxiliary materials, the grease comprises rice oil, hemp seed oil and spina date seed oil according to the weight ratio of (20-30): (10-15): (5-10), and the auxiliary materials comprise a filler, an emulsifier and an antioxidant. According to the grease composition, the sleep rate, the sleep time and the GABA neurotransmitter level are improved, so that sedative hypnosis and sleep promotion can be achieved, meanwhile, the preparation method is simple, and the stability is good.

The invention discloses a pharmaceutical composition for insomnia (heart-spleen deficiency type) and hypomnesis and a preparation method of the pharmaceutical composition, and relates to the technical field of medicines.The composition is prepared from acanthopanax, astragalus membranaceus, lucid ganoderma, ginseng leaves, schisandra chinensis and gastrodia elata, the prescription mainly aims at the pathogenesis of insomnia caused by heart-spleen deficiency, the synergistic effect is achieved from multiple aspects, and the curative effect is good. The traditional Chinese medicine composition has the effect of treating insomnia caused by heart and spleen, and is a comprehensive and effective treatment scheme. Meanwhile, the effect of improving memory is also achieved. The prescription provided by the invention can be prepared into granules, oral preparations and the like. The pharmaceutical composition disclosed by the invention has a remarkable insomnia treatment effect which is superior to that of Western medicines such as eszopiclone tablets and estazolam tablets, the sleep inducing time is shortened, the sleep time of a patient with difficulty in falling asleep can be effectively shortened, meanwhile, the sleep time is optimally prolonged, the insomnia treatment effect is remarkable, and the situations of somnolence and non-awakening are avoided; the memory can also be improved. Meanwhile, no dependence is caused, and the insomnia is fundamentally treated.

The present invention provides a smart bed sleep monitoring method and a combined smart bed, the smart bed sleep monitoring method comprising the steps of: obtaining the pressure parameter carried on the smart bed, calculating the pressure score corresponding to the pressure parameter; if the pressure score is greater than the pressure threshold, the smart bed is in a occupied state; when the smart bed is in an occupied state and the smart bed is in a normal operation mode, obtaining the environment time of the smart bed; judging whether the environment time meets the preset time, the preset time includes the sleeping time and the waking time; if the environment time meets the sleeping time, starting the sleeping light; if the environment time meets the waking time, starting the wake-up light, wherein the sleeping light and the wake-up light are lights of different colors. The smart bed sleep monitoring method and the combined smart bed disclosed by the present invention can monitor and analyze the state of the smart bed in real time, creating a comfortable and quiet sleeping environment.

A circadian phase adjustment method, system and device, and a storage medium, the method comprising: acquiring circadian phase information of a user, including target sleep time and target wake time of a target day; obtaining a target value of rhythm phase shift of the target day based on the target falling-asleep time and the target awakening time; a target cumulant of the light dose cumulant is obtained based on the target value of the rhythm phase migration by using a phase prediction model, and the phase prediction model is a relation model of the rhythm phase migration and the light dose cumulant; acquiring an actual cumulant of the light dose cumulant based on the light environment information; and judging whether the actual cumulant of the user at the current detection moment meets the requirement or not based on the target cumulant, and executing the light intervention operation if the actual cumulant does not meet the requirement. According to the method, the target value of the light dose cumulant required by the user on the target day is quantified, intervention is performed based on the actual light dose cumulant, and the accuracy of circadian rhythm phase adjustment is improved.

The invention relates to the technical field of coal mine underground wireless communication, in particular to a time slot distribution and dormancy control method and system of a low-power-consumption wireless sensor network. The invention discloses a time slot allocation and dormancy control method for a low-power-consumption wireless sensor network, and the method comprises the following steps: S1, constructing a multi-hop tree network topology which takes a gateway as a center, and determining the neighborhood relation and the optimal path of each sensing node; s2, defining system parameters; s3, distributing native time slot numbers for all the sensing nodes; s4, distributing relay time slot numbers for all non-tail-end nodes, ignoring the tail-end nodes during distribution, and adopting a distribution principle which is the same as the original time slot number in the step S3; s5, all the sensing nodes work according to rules; and S6, the common dormancy time Tc = Tp-Nt * Ts is calculated, and Nt is the total time slot number required for completing data transmission of the whole network. Asynchronous time slot allocation and dynamic dormancy control are adopted, and the problems of high energy consumption, large interference and long delay of a synchronization scheme are solved through time-sharing awakening, conflict isolation and relay optimization.

There is provided a computer-implemented method for determining sleep misperception of a subject during a sleep session. The method comprises receiving sleep condition information. The sleep condition information comprises at least one of SDB information and insomnia information. The SDB information is representative of a sleep disordered breathing (SDB) condition of the subject based on a number of SDB events of the subject per unit of time. The computer-implemented method comprises receiving sleep quality information representative of a quality of sleep of the sleep session experienced by the subject. The computer-implemented method comprises determining a degree of sleep misperception based on the sleep condition information and the sleep quality information. The sleep misperception is representative of a difference between a subjective total sleep time of the sleep session experienced by the subject and an objective total sleep time of the subject in the sleep session.

The invention relates to the technical field of wireless communication of the Internet of Things, in particular to a configuration management method of a low-power-consumption Bluetooth penetration module and a related device. According to the method, the working modes are dynamically switched according to the Bluetooth connection state. In the AT instruction configuration mode, receiving, analyzing and verifying an AT instruction through a serial communication interface; for the parameter setting instruction, immediately applying the modified parameters to the module and storing the modified parameters to the nonvolatile storage unit; in the AT instruction configuration mode, a real-time clock timer is configured by judging the idle state of the module and combining the preset task period, so that the module periodically enters the deep sleep mode until the timer is triggered and awakened, the deep sleep time of the module is prolonged to the maximum extent, the overall average power consumption is remarkably reduced, and the service life of the module is prolonged. And the cruising ability of the equipment in a battery power supply scene is greatly prolonged.

Method for controlling a ventilation system, ventilation system, and associated ventilation installation. This method for controlling a ventilation system includes a remote control and a ventilation grille, which includes battery-powered receiving means. Cyclically, the ventilation grille switches between a sleep phase (ΔTs), during which the receiving means are off, and a wake-up phase (ΔTr), during which the receiving means are on and ready to receive a control signal sent by the remote control. The control method also includes actuation of the remote control by a user, so as to send a control signal for a transmission time (ΔTt) that is longer than the sleep time (ΔTs). Figure for the abstract: Figure 2

The present application is applicable to the field of speaker technology and provides a speaker sleep aid method, including: when a sleep mode is triggered, obtaining historical environmental information corresponding to the sleep time period according to the sleep time period carried in the sleep mode; analyzing the noise in the historical environmental information according to a preset noise frequency band and a corresponding frequency interval, and determining the noise frequency band to which the noise of each sampling point in the historical environmental information belongs; analyzing the noise frequency band to which the noise of each sampling point belongs, and determining the noise proportion of each noise frequency band; and selecting corresponding white noise music to play for sleep aid according to the noise proportion of each noise frequency band. In this way, the white noise music played is close to the noise frequency band in the environment, so as to distract the brain's attention and achieve a better sleep aid effect. It can also reduce the time the user uses the brain and fall asleep faster.

The purpose of the present disclosure is to provide a device and a method for easily deriving the sleep quality of a user.　In a server 100 of the present disclosure, a log acquisition unit 103 acquires log information of a portable terminal 200 (user terminal) which is used by a user. On the basis of the log information, an estimation unit 108 estimates a user situation (sleep time, terminal use situation immediately before bedtime, sleep environment, circadian rhythm, etc.) that affects sleeping. Then, the estimation unit 108 estimates (corresponding to deriving) the sleep quality of the user on the basis of the user situation.

The application discloses a post-processing method for vehicle ambient temperature sensor failure and related devices. When the vehicle is powered on, if the ambient temperature sensor fails and the sleep time of the vehicle is within the first preset time length, it is considered that the ambient temperature is affected by the heat dissipation of the thermal management system. The heat pump mode is determined based on the heat pump mode storage value, the battery demand is determined according to the waterway mode storage value, and then the current ambient temperature is determined through different states of the heat pump mode and the battery demand. Compared with the default value mode in the related art, the heat pump mode and the battery demand can be considered to post-process the ambient temperature sensor failure, obtain a more accurate current ambient temperature, and then reduce the influence on the thermal management system to improve the comfort of the passenger cabin.