In-vehicle danger reminding method and system, and vehicle

Abstract

Disclosed in the present invention are an in-vehicle danger reminding method and system, an electronic device, a storage medium, and a vehicle. The method comprises: in response to a vehicle stop signal, acquiring carbon dioxide concentration data in the vehicle in real time; on the basis of a pre-trained analysis model, processing the carbon dioxide concentration data to generate carbon dioxide state data; determining whether the carbon dioxide state data satisfies a preset in-vehicle danger condition; and when the carbon dioxide state data satisfies the preset in-vehicle danger condition, reminding a user on the basis of the carbon dioxide state data. By means of the method, remote monitoring can be performed in real time, and the safety condition in the vehicle is learned; and a change in carbon dioxide concentration data in a specific situation or time period can be analyzed and checked, the future trend of the carbon dioxide concentration can be predicted, and a warning is given in advance, so that more response time is reserved for the user.

Description

In-vehicle danger reminder method, system and vehicle Technical Field

[0001] The present invention relates to the field of vehicle technology, and in particular to a method, system, electronic device, storage medium and vehicle for reminding of danger in a vehicle. Background Art

[0002] At present, there are reports almost every year about tragedies caused by children being forgotten in cars. Although most parents think they will not forget their children, such forgetfulness is possible in busy, stressful or daily life. When this happens, it is necessary to remind parents.

[0003] Patent document CN109050206A discloses a detection system and method for protecting the safety of people in a vehicle that is accidentally locked. The system determines whether the vehicle's windows and door locks are in a defensive state. If so, the air quality detection module detects whether a preset danger value is reached. If so, the door lock and window actuators are activated to unlock and lower the windows for ventilation. The present invention uses the air quality detection module to detect the carbon dioxide concentration, oxygen concentration, and temperature in the vehicle and compare them with the set danger values, and activates the corresponding risk warning prompts to more effectively reduce the risk of suffocation caused by children or people with limited behavioral capacity being accidentally locked in the vehicle due to the negligence of the guardian, thereby ensuring the life safety of people in the vehicle.

[0004] Although the above patent documents and prior art provide methods for protecting people inside a vehicle by detecting the air inside the vehicle, no specific analysis is conducted, which can easily lead to misjudgment and cause inconvenience to users.

[0005] Therefore, the present application provides a method for in-vehicle danger reminder to solve the above technical problems.

[0006] Summary of the Invention

[0007] The object of the present invention is to provide a method, system, electronic device, storage medium and vehicle for reminding danger in a vehicle, which can solve at least one of the technical problems mentioned above.

[0008] In order to solve the above technical problems, the present invention provides a method for reminding a vehicle of danger, comprising:

[0009] In response to a vehicle stop signal, obtaining carbon dioxide concentration data in the vehicle in real time;

[0010] Processing the carbon dioxide concentration data based on a pre-trained analysis model to generate carbon dioxide status data;

[0011] Determining whether the carbon dioxide status data meets a preset in-vehicle danger condition;

[0012] When the carbon dioxide status data meets the preset in-vehicle dangerous condition, a user is reminded based on the carbon dioxide status data.

[0013] In some specific embodiments, in response to a vehicle stop signal, obtaining carbon dioxide concentration data in the vehicle in real time specifically includes:

[0014] Obtaining the driving speed of the vehicle;

[0015] When the driving speed is 0 and there is no change in the driving speed within a preset time, it is determined that the vehicle has stopped;

[0016] The carbon dioxide concentration data is acquired in real time.

[0017] In some specific embodiments, the carbon dioxide concentration data is processed based on a pre-trained analysis model to generate carbon dioxide status data, specifically including:

[0018] The analysis model includes:

[0019] in,

[0020] thresholdR is the rate of change of carbon dioxide;

[0021] ΔC is the change in carbon dioxide concentration data;

[0022] Δt is the time change;

[0023] Based on the analysis model, the carbon dioxide change rate within the time variation is obtained.

[0024] In some specific embodiments, the carbon dioxide concentration data is processed based on a pre-trained analysis model to generate carbon dioxide status data, specifically including:

[0025] The analysis model includes:

[0026] in,

[0027] y(t) is the carbon dioxide concentration data value at time t after moving average filtering;

[0028] x(t) is the carbon dioxide concentration data value of the original data sequence at time t;

[0029] N is the window size, the number of data points used to calculate the filter value. Choosing an odd number ensures that there is a center point;

[0030] k is the index within the window, moving from the center of the window to both sides to cover all data points within the window;

[0031] Based on the analysis model, the carbon dioxide status data within a duration is acquired.

[0032] In some specific embodiments, determining whether the carbon dioxide status data meets a preset in-vehicle danger condition specifically includes:

[0033] Preset threshold value of carbon dioxide change rate;

[0034] When the carbon dioxide change rate within the time variation reaches the carbon dioxide change rate threshold, the in-vehicle dangerous condition is met.

[0035] In some specific embodiments, determining whether the carbon dioxide status data meets a preset in-vehicle danger condition specifically includes:

[0036] The CO2 concentration data threshold within the preset duration;

[0037] When the carbon dioxide state data within the duration meets the carbon dioxide concentration data threshold within the duration, the in-vehicle dangerous condition is met.

[0038] Based on the same concept, the present invention also provides an in-vehicle danger warning system, comprising:

[0039] a carbon dioxide concentration data acquisition module configured to acquire carbon dioxide concentration data in the vehicle in real time in response to a vehicle stop signal;

[0040] a carbon dioxide status generating module configured to process the carbon dioxide concentration data based on a pre-trained analysis model to generate carbon dioxide status data;

[0041] an in-vehicle dangerous condition judgment module, configured to judge whether the carbon dioxide status data meets a preset in-vehicle dangerous condition;

[0042] The in-vehicle danger reminder module is configured to remind the user based on the carbon dioxide status data when the carbon dioxide status data meets the preset in-vehicle danger condition.

[0043] Based on the same concept, the present invention also provides an electronic device, including: a processor, a communication interface, a memory and a communication bus, wherein the processor, the communication interface and the memory communicate with each other through the communication bus; a computer program is stored in the memory, and when the computer program is executed by the processor, the processor executes the steps of the above-mentioned in-vehicle hazard reminder method.

[0044] Based on the same concept, the present invention also provides a computer-readable storage medium storing a computer program executable by an electronic device. When the computer program runs on the electronic device, the electronic device executes the steps of the above-mentioned in-vehicle hazard reminder method.

[0045] Based on the same concept, the present invention also provides a vehicle, which is provided with the above-mentioned in-vehicle hazard warning system.

[0046] Compared with the prior art, the beneficial effects are:

[0047] The present invention discloses a method, system, electronic device, storage medium and vehicle for in-vehicle danger reminders, which can perform real-time remote monitoring to understand the safety situation in the vehicle, analyze and view changes in carbon dioxide concentration data in specific situations or time periods, predict future trends in carbon dioxide concentrations and issue warnings in advance, reserving more response time for users. BRIEF DESCRIPTION OF THE DRAWINGS

[0048] FIG1 is a flow chart of a method for reminding a vehicle of danger in some specific embodiments of the present invention;

[0049] FIG2 is a schematic diagram of an in-vehicle danger reminder method in some applications of the present invention;

[0050] FIG3 is a schematic diagram of a notification strategy of a vehicle danger reminder method in some applications of the present invention;

[0051] FIG4 is a schematic diagram of a notification flow chart of a method for reminding a vehicle of danger in some applications according to the present invention;

[0052] FIG5 is a schematic structural diagram of an in-vehicle danger warning system in some specific embodiments of the present invention;

[0053] FIG6 is a schematic structural diagram of an electronic device according to some specific embodiments of the present invention. DETAILED DESCRIPTION

[0054] To make the objectives, technical solutions, and advantages of this application more clear, this application will be further described in detail below with reference to the accompanying drawings. Obviously, the embodiments described are only some of the embodiments of this application, not all of them. Based on the embodiments in this application, all other embodiments obtained by ordinary technicians in this field without making any creative efforts are within the scope of protection of this application.

[0055] The terms used in the examples of this application are for the purpose of describing specific embodiments only and are not intended to limit this application. The singular forms "a," "the," and "the" used in the examples of this application and the appended claims are also intended to include plural forms, and unless the context clearly indicates otherwise, "a plurality" generally includes at least two.

[0056] It should be understood that the term "and / or" as used herein is merely a description of the relationship between associated objects, indicating that three possible relationships exist. For example, "A and / or B" can represent: A exists alone, A and B exist simultaneously, or B exists alone. Furthermore, the character " / " in this document generally indicates that the associated objects are in an "or" relationship.

[0057] It should be understood that although the terms first, second, third, etc. may be used to describe in the embodiments of the present application, these descriptions should not be limited to these terms. These terms are only used to distinguish the descriptions. For example, without departing from the scope of the embodiments of the present application, the first may also be referred to as the second, and similarly, the second may also be referred to as the first.

[0058] As used herein, the words "if" and "if" may be interpreted as "at the time of" or "when" or "in response to determining" or "in response to detecting," depending on the context. Similarly, the phrases "if it is determined" or "if (stated condition or event) is detected" may be interpreted as "when it is determined" or "in response to the determination" or "when detecting (stated condition or event)" or "in response to detecting (stated condition or event)," depending on the context.

[0059] It should also be noted that the terms "include," "comprises," or any other variations thereof are intended to encompass non-exclusive inclusion, such that a product or device comprising a series of elements includes not only those elements but also other elements not explicitly listed, or elements inherent to such product or device. In the absence of further limitations, an element defined by the phrase "comprises a..." does not exclude the presence of other identical elements in the product or device comprising the element.

[0060] It should be noted in particular that any symbols and / or numbers in the specification that are not marked in the accompanying drawings are not drawing marks.

[0061] 1 , a method for reminding a vehicle of danger in a vehicle includes:

[0062] S101, in response to a vehicle stop signal, obtaining carbon dioxide concentration data in the vehicle in real time;

[0063] Specifically, in this step, carbon dioxide concentration data in the vehicle is obtained in real time according to the vehicle stop signal;

[0064] It is understandable that when a vehicle stops, it is possible that a child may be forgotten in the vehicle. Real-time carbon dioxide concentration data in the vehicle is obtained for further judgment.

[0065] In some applications, in response to a vehicle stop signal, real-time acquisition of in-vehicle carbon dioxide concentration data is performed, specifically including acquiring the vehicle's driving speed; when the driving speed is zero and remains unchanged within a preset time, the vehicle is determined to have stopped, and the carbon dioxide concentration data is acquired in real time;

[0066] It is understandable that in this application, in order to accurately determine whether the vehicle has stopped, it is necessary to obtain the vehicle's driving speed. When the speed is 0, it can be determined that the vehicle has stopped, but it may be waiting for the traffic light. Therefore, it is necessary to determine whether the driving speed has changed within a preset time. For example, if the speed does not change within 5 minutes, it can be determined that the vehicle has stopped and there is a possibility that a child has been forgotten. The carbon dioxide concentration data is obtained in real time;

[0067] In some embodiments, the carbon dioxide concentration data is acquired via a carbon dioxide sensor.

[0068] S102, processing the carbon dioxide concentration data based on a pre-trained analysis model to generate carbon dioxide status data;

[0069] Specifically, in this step, an analysis model is pre-trained, and the real-time acquired carbon dioxide concentration data is processed by the analysis model to generate carbon dioxide status data;

[0070] It is understandable that breathing is the survival instinct of humans and even the biological world, and breathing produces carbon dioxide. By analyzing and processing carbon dioxide concentration data, early warning of danger can be issued.

[0071] In some specific embodiments, the carbon dioxide concentration data obtained by the carbon dioxide sensor is sent via the CAN bus to the vehicle gateway or controller for format conversion, and the vehicle communication module sends the data to the cloud for analysis, processing and storage. On the one hand, it is convenient to inform the user of the analysis and processing results, and on the other hand, storage in the cloud is conducive to machine learning, thereby predicting possible situations in the future.

[0072] In some applications, the analytical model includes:

[0073] in,

[0074] thresholdR is the rate of change of carbon dioxide;

[0075] ΔC is the change in carbon dioxide concentration data;

[0076] Δt is the time change;

[0077] Based on the analysis model, obtaining the carbon dioxide change rate within the time variation;

[0078] It can be understood that in this application, within a certain period of time, for example, the time change is 5 minutes, the rate of change of carbon dioxide can be known based on the change of carbon dioxide within 5 minutes. Since the space inside the car is relatively closed, the oxygen content becomes less and less with breathing, and the exhaled carbon dioxide becomes more and more. When the rate of change of carbon dioxide is faster within 5 minutes, or when the rate of change of carbon dioxide is on the rise, the possibility of a lost child in the car is higher.

[0079] In some other applications, the analytical model includes:

[0080] in,

[0081] y(t) is the carbon dioxide concentration data value at time t after moving average filtering;

[0082] x(t) is the carbon dioxide concentration data value of the original data sequence at time t;

[0083] N is the window size, the number of data points used to calculate the filter value. Choosing an odd number ensures that there is a center point;

[0084] k is the index within the window, moving from the center of the window to both sides to cover all data points within the window;

[0085] Based on the analysis model, the carbon dioxide status data within a duration is acquired.

[0086] It is understandable that in this application, when the vehicle doors are opened and closed, the air conditioner is turned on and off, or the number of people in the vehicle changes, etc., it may cause a brief change in the carbon dioxide concentration data. In order to accurately determine whether there is anyone left in the vehicle or whether the air quality has deteriorated, a moving average filtering method is used. The carbon dioxide concentration data in the vehicle is continuously collected using a carbon dioxide sensor to obtain time series data x(t). The carbon dioxide concentration data is processed using the above model. y(t) is the carbon dioxide concentration data value at time t after moving average filtering; x(t) is the carbon dioxide concentration data value of the original data sequence at time t; N is the window size, which is the number of data points used to calculate the filtered value. An odd number is selected to ensure a center point; k is the index within the window, which moves from the center of the window to both sides to cover all data points in the window;

[0087] Where y(t) is the filtered CO2 concentration at time t, and N is the selected window size. For example, if we collect data once per second, N = 60 means that we consider the data of the last minute for averaging.

[0088] When the filtered data y(t) remains above a dangerous value for a period of time, it can be determined that the air quality inside the vehicle has begun to deteriorate, and the driver needs to be alerted or the windows opened.

[0089] S103, determining whether the carbon dioxide status data meets a preset in-vehicle danger condition;

[0090] Specifically, in this step, the dangerous conditions inside the vehicle are preset, and the dangerous conditions inside the vehicle are set according to the dangerous value of the carbon dioxide concentration data.

[0091] It is understood that when the carbon dioxide concentration in the air reaches 2000PPM (2%), it will cause fatigue. When it exceeds 5000PPM (5%), it will seriously disrupt human functions and cause people to lose consciousness and become unconscious. Therefore, the dangerous conditions in the car can be set according to the above dangerous values.

[0092] In some applications, a carbon dioxide change rate threshold is preset, and when the carbon dioxide change rate within the time variation reaches the carbon dioxide change rate threshold, the vehicle in-vehicle dangerous condition is met;

[0093] It is understandable that an absolute threshold value of carbon dioxide concentration is set, such as 1000ppm. Exceeding this value may indicate unhealthy air quality or the presence of active organisms (such as humans) in the car. The carbon dioxide change rate threshold refers to the growth rate of carbon dioxide concentration per unit time. In the above-mentioned preset analysis model, the carbon dioxide change rate within the time variation can be analyzed, and the carbon dioxide change rate threshold can be set. Then, the analyzed carbon dioxide change rate is compared with the set carbon dioxide change rate threshold. When the carbon dioxide change rate threshold is reached, for example, if the concentration increases by more than 200ppm within 10 seconds, it can be considered that there is a sudden change, or an object is burning, then the dangerous conditions in the car are met, and the user can be notified or the vehicle can be controlled to open the window.

[0094] In some other applications, a threshold value of carbon dioxide concentration data within a predetermined duration is preset; when the carbon dioxide state data within the predetermined duration satisfies the threshold value of carbon dioxide concentration data within the predetermined duration, the vehicle dangerous condition is satisfied;

[0095] It is understandable that in this application, in order to accurately determine whether there is someone left in the car or whether the air quality has deteriorated, a threshold value of the carbon dioxide concentration data within a preset duration is set. For example, an absolute threshold value of the carbon dioxide concentration is set, such as 1000 ppm. When the filtered data y(t) exceeds this threshold and lasts for a period of time, such as 3 minutes, we can determine that the air quality in the car has begun to deteriorate, and it is necessary to remind the driver or automatically open the window.

[0096] S104: When the carbon dioxide status data meets the preset in-vehicle dangerous condition, remind the user based on the carbon dioxide status data.

[0097] In some applications, when CO2 status data processed in the cloud meets pre-set dangerous conditions inside the vehicle, an alert is sent to the user terminal via the cloud. In addition, the cloud can also monitor the CO2 concentration data inside the vehicle in real time. When a danger alert is received, the user terminal can remotely control the opening of the car window to buy time for rescue.

[0098] Through the above steps, real-time remote monitoring can be carried out to understand the safety situation inside the car, and the changes in carbon dioxide concentration data in specific situations or time periods can be analyzed and viewed. The future trend of carbon dioxide concentration can be predicted and warnings can be issued in advance, leaving users with more time to respond.

[0099] The following describes embodiments of the in-vehicle danger reminder method of the present invention in some applications with reference to FIG. 2 to FIG. 4 :

[0100] As shown in Figure 2:

[0101] On-board carbon dioxide sensor: used to detect the carbon dioxide concentration in the car in real time;

[0102] Carbon dioxide is the most ideal benchmark for measuring the air quality in a car. It is more sensitive than other air quality indicators. The carbon dioxide content shows obvious changes in different seasons and at different times of the same day.

[0103] The average adult at rest breathes 7 or 8 liters of air per minute. The air they inhale is about 20% oxygen, and the air they exhale is 15% oxygen. Therefore, about 5% of the oxygen in the air is consumed and converted into carbon dioxide every minute.

[0104] In a completely closed car, assuming the initial carbon dioxide concentration is 400 ppm, it only takes about half an hour to an hour to rise to a severe sleepiness concentration (3000 ppm) and then to a severe dangerous concentration (5000 ppm).

[0105] According to rough measurements, after driving at a speed of 120km / h for about 40 minutes, the carbon dioxide concentration in the car will reach 1700ppm. When there are many people in the car, this concentration value will be even higher.

[0106] When the concentration of carbon dioxide in the air reaches 2000PPM (2%), it will cause fatigue. When it exceeds 5000PPM (5%), it will seriously disrupt the body's functions and make people lose consciousness and become unconscious.

[0107] Use infrared (IR) technology-based sensors such as Honeywell, Vaisala, and Senseair, combined with Bluetooth or Wi-Fi to send sensor data to the cloud.

[0108] Communication module:

[0109] The architecture design for transmitting CO2 data based on CAN and vehicle network is as follows:

[0110] 1. Data collection and transmission layer:

[0111] CO2 sensor: This is the data source, measuring the CO2 concentration in the car.

[0112] Sensor interface with CAN adapter: This is a microcontroller or dedicated interface module that reads data from the sensor and formats the data into CAN messages.

[0113] On-board CAN bus: All on-board systems, including the CO2 sensor, place their data on this bus.

[0114] 2. Vehicle network interface layer:

[0115] In-vehicle gateway / controller: This is a central device that is typically connected to the CAN bus and can read and interpret CAN messages. It also has in-vehicle network capabilities such as LTE / 4G or Wi-Fi.

[0116] Data pre-processing: On the gateway or controller, the raw CAN data will be decoded and converted into a format suitable for transmission (such as JSON).

[0117] 3. Communication layer:

[0118] Cellular module: If cellular technology such as LTE / 4G is used, the vehicle gateway / controller will include a cellular communication module.

[0119] Wi-Fi Module: For Wi-Fi connectivity, a Wi-Fi module is required to connect to the external network.

[0120] 4. Cloud access layer:

[0121] Cloud Interface: A RESTful API or MQTT broker to receive data sent from the vehicle.

[0122] Data Validation and Authentication: Ensure the integrity of data and verify the identity of the device sending the data.

[0123] 5. Cloud data processing layer:

[0124] Database: stores CO2 data received from vehicles.

[0125] Data processing and analysis engine: further processes, analyzes and interprets the data.

[0126] Alarm and notification system: If the CO2 concentration exceeds a predetermined threshold, the system will trigger an alarm or notification.

[0127] 6. User interface layer:

[0128] In-vehicle application interface: allows users to log in and view their vehicle's CO2 concentration data, history and alerts.

[0129] As shown in Figure 3:

[0130] Cloud processing center: If the carbon dioxide concentration exceeds a predetermined threshold (e.g. 1000ppm), an alert is triggered.

[0131] Time window analysis: If the carbon dioxide concentration continues to be higher than a certain threshold within a continuous time period (for example, within 5 minutes), an alert is triggered, which is achieved using a sliding window algorithm.

[0132] Trend analysis: Monitor the trend of CO2 concentrations. If the concentration continues to rise, even if it has not yet exceeded the threshold, an alert can be triggered.

[0133] Data visualization: Provides a web interface that allows users to view historical and real-time data.

[0134] For child safety, in-vehicle CO2 sensors can provide critical data to help identify if a child has been forgotten in the vehicle. High CO2 concentrations may indicate higher respiratory activity inside the vehicle than outside, especially when the vehicle is closed or enclosed. For child safety, the following are key CO2 data aspects analyzed in the cloud:

[0135] 1. Sudden increase in carbon dioxide concentration:

[0136] If the CO2 concentration increases rapidly after the vehicle is turned off, this may indicate that there are living organisms, such as children, in the vehicle, or that something is burning.

[0137] 2. Sustained high carbon dioxide concentration:

[0138] High CO2 levels, even after the vehicle has been turned off for a while, may indicate the presence of children or pets in the vehicle.

[0139] 3. Vehicle status and carbon dioxide concentration:

[0140] Analyze the relationship between the vehicle status (such as whether it is locked or the engine is on) and the carbon dioxide concentration to more accurately determine whether there is a possibility that a child is left in the car.

[0141] 4. Association of environmental data:

[0142] If the sensor provides temperature and humidity data, it can be correlated with the CO2 concentration to determine whether the environment inside the vehicle is suitable for life. For example, high temperatures and high CO2 concentrations may indicate extremely dangerous conditions inside the vehicle.

[0143] Predictive Analytics:

[0144] Based on historical data and current trends, predict whether carbon dioxide concentrations are likely to reach dangerous levels in the near future.

[0145] Historical data comparison:

[0146] Comparison is made with CO2 levels under normal conditions to identify any abnormal increases that may be related to children in the vehicle.

[0147] Notification Policy:

[0148] Based on the results of the analysis, it is determined when to send a notification to the vehicle owner or emergency contacts. For example, if the carbon dioxide concentration increases rapidly and continues to exceed a safe threshold, a notification will be sent immediately.

[0149] The following describes the cloud data processing model:

[0150] Concentration threshold (C_threshold): CO2 concentration value, usually in ppm (parts per million), sets an absolute threshold for CO2 concentration, such as 1000 ppm (parts per million). Exceeding this value may indicate unhealthy air quality or the presence of living organisms (such as humans) in the vehicle.

[0151] Rate of change threshold (R_threshold): This refers to the rate of increase in CO2 concentration per unit time. For example, if the concentration increases by more than 200 ppm within 10 seconds, it can be considered a sudden change or a burning object.

[0152] Where thresholdR is the threshold of the change rate.

[0153] ΔC is the change in carbon dioxide concentration.

[0154] Δt is the corresponding time change.

[0155] This formula describes the rate of change of carbon dioxide concentration. When the ratio of concentration change ΔC divided by time change Δt exceeds the set threshold R , an alarm can be triggered.

[0156] Time window (T_window): Set a time window (such as 5 minutes). During this time, if the concentration continues to be higher than C_threshold, an alarm should be issued.

[0157] Using the above parameters, a quantitative model is constructed to detect sudden changes in carbon dioxide concentration.

[0158] Furthermore, when using a CO2 sensor to monitor carbon dioxide concentrations in a vehicle, the data can be affected by various factors, such as opening and closing doors, turning the air conditioner on and off, and changes in the number of people in the vehicle. These can all cause brief fluctuations in carbon dioxide concentrations. To accurately determine whether someone is inside the vehicle or whether air quality has deteriorated, data processing is required to reduce interference from unexpected data.

[0159] Specific applications:

[0160] Data collection: Use a carbon dioxide sensor to continuously collect the carbon dioxide concentration in the car and obtain time series data x(t).

[0161] Moving average filtering: In order to filter out possible short-term noise or sudden concentration changes, a moving average model is applied:

[0162] y(t): Carbon dioxide concentration at time t after moving average filtering.

[0163] x(t): Carbon dioxide concentration value of the original data sequence at time t.

[0164] N: Window size, the number of data points used to calculate the filter value. Choose an odd number to ensure there is a central point.

[0165] k: The index within the window, moving from the center of the window to both sides to cover all data points within the window

[0166] Where y(t) is the filtered carbon dioxide concentration at time t, and N is the selected window size. For example, if we collect data once per second, N = 60 means that the data in the last minute is considered for averaging.

[0167] Threshold determination: Set a carbon dioxide concentration threshold, such as 1000 ppm. When the filtered data y(t) exceeds this threshold for a period of time (e.g., 3 minutes), it can be determined that the air quality in the vehicle has deteriorated, and the driver needs to be alerted or the windows automatically opened.

[0168] Child safety alarm: Combined with other sensors (such as temperature sensors, seat sensors, etc.), if the temperature in the car continues to rise while the carbon dioxide concentration continues to rise, and the seat sensor detects someone in the back seat, it can be determined that a child may have been left in the car and an alarm will be issued immediately.

[0169] Through the above method, the data from the carbon dioxide sensor can be analyzed more accurately, thereby effectively judging the actual situation in the car and improving the safety of children.

[0170] As shown in Figure 4:

[0171] User terminal APP: Receives reminders from the cloud and issues sound / vibration alerts to the driver. Users register through the mobile APP and bind to the vehicle system. When the vehicle sensor detects that the carbon dioxide concentration exceeds the standard, the communication module sends the data to the cloud processing center. The cloud processing center analyzes the data and determines whether to send a reminder. When the carbon dioxide concentration in the car exceeds the normal range and the vehicle is stopped, the system determines that there may be children in the car and sends a reminder to the driver.

[0172] For the method steps disclosed in the above embodiments, for the purpose of simple description, the method steps are expressed as a series of action combinations. However, those skilled in the art should be aware that the embodiments of the present invention are not limited by the order of the actions described, because according to the embodiments of the present invention, certain steps can be performed in other orders or simultaneously. Secondly, those skilled in the art should also be aware that the embodiments described in the specification are all preferred embodiments, and the actions involved are not necessarily required by the embodiments of the present invention.

[0173] As shown in FIG5 , the present invention further provides an in-vehicle danger warning system, comprising:

[0174] The carbon dioxide concentration data acquisition module 201 is configured to acquire carbon dioxide concentration data in the vehicle in real time in response to a vehicle stop signal;

[0175] a carbon dioxide status generating module 202 configured to process the carbon dioxide concentration data based on a pre-trained analysis model to generate carbon dioxide status data;

[0176] An in-vehicle dangerous condition determination module 203 is configured to determine whether the carbon dioxide status data satisfies a preset in-vehicle dangerous condition;

[0177] The in-vehicle danger reminder module 204 is configured to remind the user based on the carbon dioxide status data when the carbon dioxide status data meets the preset in-vehicle danger condition.

[0178] It is worth noting that although only some basic functional modules are disclosed in the embodiment of the present invention, it does not mean that the composition of the present system is limited to the above basic functional modules. On the contrary, what this embodiment wants to express is that on the basis of the above basic functional modules, those skilled in the art can arbitrarily add one or more functional modules in combination with the existing technology to form an infinite number of embodiments or technical solutions. In other words, this system is open rather than closed. Just because this embodiment only discloses individual basic functional modules, it cannot be considered that the scope of protection of the claims of the present invention is limited to the disclosed basic functional modules. At the same time, for the convenience of description, the above devices are described in terms of functions, which are divided into various units and modules. Of course, when implementing the present invention, the functions of each unit and module can be implemented in the same or one or more software and / or hardware.

[0179] As shown in Figure 6, the present invention also provides an electronic device, including: a processor, a communication interface, a memory and a communication bus, wherein the processor, the communication interface, and the memory communicate with each other through the communication bus; a computer program is stored in the memory, and when the computer program is executed by the processor, the processor executes the steps of the in-vehicle hazard reminder method.

[0180] Figure 6 is a schematic diagram of the structure of an electronic device provided by an embodiment of the present invention. As shown in Figure 6 , the electronic device provided by an embodiment of the present invention includes: one or more processors 710 and a storage device 720. The electronic device may include one or more processors 710, with Figure 6 showing a single processor 710 as an example. The storage device 720 is used to store one or more programs. These one or more programs are executed by the one or more processors 710, enabling the one or more processors 710 to implement the in-vehicle hazard warning method described in any of the embodiments of the present invention.

[0181] The electronic device may further include an input device 730 and an output device 740 .

[0182] The processor 710 , storage device 720 , input device 730 and output device 740 in the electronic device may be connected via a bus or other means. FIG6 takes the bus connection as an example.

[0183] The storage device 720 in the electronic device serves as a computer-readable storage medium and can be used to store one or more programs. These programs can be software programs, computer-executable programs, and modules, such as the program instructions / modules corresponding to the in-vehicle hazard warning method provided in the embodiments of the present invention. The processor 710 executes the software programs, instructions, and modules stored in the storage device 720 to execute various functional applications and data processing of the electronic device, thereby implementing the in-vehicle hazard warning method in the aforementioned method embodiment.

[0184] The storage device 720 may include a program storage area and a data storage area, wherein the program storage area may store an operating system and application programs required for at least one function; the data storage area may store data created based on the use of the electronic device, etc. In addition, the storage device 720 may include a high-speed random access memory and may also include a non-volatile memory, such as at least one disk storage device, a flash memory device, or other non-volatile solid-state storage device. In some instances, the storage device 720 may further include a memory remotely located relative to the processor 710, and these remote memories may be connected to the device via a network. Examples of the above-mentioned network include, but are not limited to, the Internet, an intranet, a local area network, a mobile communication network, and combinations thereof.

[0185] The input device 730 may be used to receive input digital or character information and generate key signal input related to user settings and function control of the electronic device. The output device 740 may include a display device such as a display screen.

[0186] The present invention also provides a computer-readable storage medium storing a computer program executable by an electronic device. When the computer program runs on the electronic device, the electronic device executes the steps of the in-vehicle hazard reminder method.

[0187] Specifically, the computer storage medium of the embodiment of the present invention can adopt any combination of one or more computer-readable media. The computer-readable medium can be a computer-readable signal medium or a computer-readable storage medium. The computer-readable storage medium can be, for example, but not limited to, an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, device or component, or any combination of the above. More specific examples of computer-readable storage media (a non-exhaustive list) include: an electrical connection with one or more wires, a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the above. In this embodiment, the computer-readable storage medium can be any tangible medium that contains or stores a program, which can be used by or in combination with an instruction execution system, device or device.

[0188] The present invention also provides a vehicle provided with the above-mentioned in-vehicle hazard warning system.

[0189] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit it. Although the present invention has been described in detail with reference to the above embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the above embodiments, or replace some or all of the technical features therein with equivalents. However, these modifications or replacements do not cause the essence of the corresponding technical solutions to deviate from the scope of the technical solutions of the embodiments of the present invention.

Claims

1. A method for reminding a vehicle of danger, characterized in that: include: In response to a vehicle stop signal, obtaining carbon dioxide concentration data in the vehicle in real time; Based on a pre-trained analysis model, the carbon dioxide concentration data is processed to generate carbon dioxide status data; Determining whether the carbon dioxide status data meets a preset in-vehicle dangerous condition; When the carbon dioxide status data meets the preset in-vehicle dangerous condition, a user is reminded based on the carbon dioxide status data.

2. The in-vehicle danger reminder method according to claim 1, characterized in that: In response to a vehicle stop signal, real-time acquisition of carbon dioxide concentration data in the vehicle, specifically including: Obtaining the driving speed of the vehicle; When the driving speed is 0 and there is no change in the driving speed within a preset time, it is determined that the vehicle is stopped; The carbon dioxide concentration data is acquired in real time.

3. The in-vehicle danger reminder method according to claim 1, characterized in that: Based on the pre-trained analysis model, the carbon dioxide concentration data is processed to generate carbon dioxide status data, specifically including: The analysis model includes: in, threshold R is the rate of change of carbon dioxide; ΔC is the change in carbon dioxide concentration data; Δt is the time change; Based on the analysis model, the carbon dioxide change rate within the time variation is obtained.

4. The in-vehicle danger reminder method according to claim 1, characterized in that: Based on the pre-trained analysis model, the carbon dioxide concentration data is processed to generate carbon dioxide status data, specifically including: The analysis model includes: in, y(t) is the carbon dioxide concentration data value at time t after moving average filtering; x(t) is the carbon dioxide concentration data value of the original data sequence at time t; N is the window size, the number of data points used to calculate the filter value, and an odd number is chosen to ensure that there is a center point; k is the index in the window, moving from the center of the window to both sides to cover all data points in the window; Based on the analysis model, the carbon dioxide status data within a duration is acquired.

5. The in-vehicle danger reminder method according to claim 3, characterized in that: Determining whether the carbon dioxide status data meets a preset in-vehicle dangerous condition specifically includes: Preset CO2 change rate threshold; When the carbon dioxide change rate within the time change amount reaches the carbon dioxide change rate threshold, the in-vehicle dangerous condition is met.

6. The in-vehicle danger reminder method according to claim 4, characterized in that: Determining whether the carbon dioxide status data meets a preset in-vehicle dangerous condition specifically includes: The CO2 concentration data threshold within the preset duration; When the carbon dioxide state data within the duration meets the carbon dioxide concentration data threshold within the duration, the in-vehicle dangerous condition is met.

7. An in-vehicle danger warning system, characterized in that: include: The carbon dioxide concentration data acquisition module is configured to respond to the vehicle stop signal in real time Obtain the carbon dioxide concentration data in the car; a carbon dioxide state generating module configured to process the carbon dioxide concentration data based on a pre-trained analysis model to generate carbon dioxide state data; An in-vehicle dangerous condition judgment module, configured to judge whether the carbon dioxide state data meets a preset in-vehicle dangerous condition; The in-vehicle danger reminder module is configured to remind the user based on the carbon dioxide status data when the carbon dioxide status data meets the preset in-vehicle danger condition.

8. An electronic device, characterized in that: include: A processor, a communication interface, a memory and a communication bus, wherein the processor, the communication interface and the memory communicate with each other via the communication bus; a computer program is stored in the memory, and when the computer program is executed by the processor, the processor executes the steps of the method described in any one of claims 1 to 6.

9. A computer-readable storage medium, characterized in that: It stores a computer program executable by an electronic device, and when the computer program runs on the electronic device, the electronic device executes the steps of the method described in any one of claims 1 to 6.

10. A vehicle, characterized in that: The vehicle is provided with the in-vehicle hazard warning system as claimed in claim 7.

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