An in-vehicle danger reminding method, system and vehicle

Abstract

The application discloses a kind of in-vehicle danger reminding method, system, electronic equipment, storage medium and vehicle, including in response to vehicle stop signal, real-time acquisition carbon dioxide concentration data in vehicle;Based on the analysis model of pre-trained, the carbon dioxide concentration data is processed, and carbon dioxide state data is generated;Determine whether the carbon dioxide state data satisfies preset in-vehicle danger condition;When the carbon dioxide state data satisfies the preset in-vehicle danger condition, the user is reminded based on the carbon dioxide state data.Through the above method, real-time remote monitoring can be carried out, the safety situation in the vehicle can be known, the carbon dioxide concentration data change in a specific situation or time period can be analyzed and viewed, the future trend of carbon dioxide concentration can be predicted and a warning can be given in advance, to reserve more response time for the user.

Description

Technical Field

[0001] This invention relates to the field of vehicle technology, and in particular to an in-vehicle hazard warning method, system, electronic device, storage medium, and vehicle. Background Technology

[0002] Currently, there are reports of tragedies caused by children being forgotten in cars almost every year. Although most parents believe they will not forget their children, such forgetfulness is possible in busy, stressful, or daily life situations. 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 accidentally locked inside a vehicle. The system determines whether the vehicle's windows and door locks are in an armed state. If so, an air quality detection module checks whether a preset danger value has been reached. If so, the system activates the door lock and window actuators to unlock and lower the windows for ventilation. This invention utilizes an air quality detection module to detect the carbon dioxide concentration, oxygen concentration, and temperature inside the vehicle and compares them with preset danger values, activating corresponding risk warning prompts. This more effectively reduces the risk of suffocation caused by children or persons without full capacity for civil conduct being accidentally locked inside a vehicle due to the negligence of guardians, thus ensuring the safety of people inside the vehicle.

[0004] While the aforementioned patent documents and existing technologies contain methods for protecting occupants by detecting the air inside the vehicle, they lack specific analysis, which can easily lead to misjudgments and inconvenience to users.

[0005] Therefore, this application provides a method for in-vehicle hazard warning to solve the above-mentioned technical problems. Summary of the Invention

[0006] The purpose of this invention is to provide a method, system, electronic device, storage medium, and vehicle for in-vehicle hazard warning, which can solve at least one of the aforementioned technical problems.

[0007] To address the aforementioned technical problems, this invention provides a method for in-vehicle hazard warning, comprising:

[0008] In response to a vehicle stop signal, it acquires real-time data on the carbon dioxide concentration inside the vehicle.

[0009] Based on a pre-trained analysis model, the carbon dioxide concentration data is processed to generate carbon dioxide state data.

[0010] Determine whether the carbon dioxide status data meets the preset in-vehicle hazard conditions;

[0011] When the carbon dioxide status data meets the preset in-vehicle hazardous conditions, a reminder is given to the user based on the carbon dioxide status data.

[0012] In some specific embodiments, in response to a vehicle stop signal, real-time data on the carbon dioxide concentration inside the vehicle is acquired, specifically including:

[0013] Obtain the vehicle's speed;

[0014] When the driving speed is 0 and the driving speed does not change within a preset time, the vehicle is determined to stop.

[0015] The carbon dioxide concentration data is acquired in real time.

[0016] In some specific embodiments, the carbon dioxide concentration data is processed based on a pre-trained analysis model to generate carbon dioxide state data, specifically including:

[0017] The analytical model includes:

[0018]

[0019] in,

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

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

[0022] Δt is the change over time;

[0023] Based on the analytical model, the rate of change of carbon dioxide within the time change 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 state data, specifically including:

[0025]

[0026] in,

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

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

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

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

[0031] Based on the analytical model, the carbon dioxide state data over the duration is obtained.

[0032] In some specific embodiments, determining whether the carbon dioxide state data meets preset in-vehicle hazard conditions specifically includes:

[0033] Preset carbon dioxide change rate threshold;

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

[0035] In some specific embodiments, determining whether the carbon dioxide state data meets preset in-vehicle hazard conditions specifically includes:

[0036] Preset carbon dioxide concentration data threshold for a given duration;

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

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

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

[0040] The carbon dioxide state generation module is configured to process the carbon dioxide concentration data based on a pre-trained analysis model to generate carbon dioxide state data.

[0041] The in-vehicle hazardous conditions judgment module is configured to determine whether the carbon dioxide status data meets preset in-vehicle hazardous conditions.

[0042] The in-vehicle hazard warning 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 hazard conditions.

[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; the memory stores a computer program, and when the computer program is executed by the processor, the processor performs the steps of the above-described in-vehicle hazard warning 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, which, when run on the electronic device, causes the electronic device to perform the steps of the above-described in-vehicle hazard warning method.

[0045] Based on the same concept, the present invention also provides a vehicle equipped with an in-vehicle hazard warning system as described above.

[0046] Compared with existing technologies, its advantages are as follows:

[0047] This invention discloses a method, system, electronic device, storage medium, and vehicle for in-vehicle hazard warning. It can remotely monitor in real time to know the safety status inside the vehicle, analyze and view changes in carbon dioxide concentration data in specific situations or time periods, predict future trends in carbon dioxide concentration, and issue warnings in advance, giving users more time to respond. Attached Figure Description

[0048] Figure 1 This is a flowchart illustrating some specific embodiments of the in-vehicle hazard warning method of the present invention;

[0049] Figure 2 This is an architecture diagram of an in-vehicle hazard warning method of the present invention in some applications;

[0050] Figure 3 This is a schematic diagram illustrating the notification strategy of the in-vehicle hazard warning method of the present invention in some applications;

[0051] Figure 4 This is a schematic diagram of the notification process of an in-vehicle hazard warning method of the present invention in some applications;

[0052] Figure 5 This is a schematic diagram of the structure of an in-vehicle hazard warning system according to some specific embodiments of the present invention;

[0053] Figure 6 This is a schematic diagram of the structure of an electronic device according to some specific embodiments of the present invention. Detailed Implementation

[0054] To make the objectives, technical solutions, and advantages of this application clearer, the application will be further described in detail below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this application, and not all embodiments. Based on the embodiments in this application, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this application.

[0055] The terminology used in the embodiments of this application is for the purpose of describing particular embodiments only and is not intended to limit the application. The singular forms “a,” “said,” and “the” used in the embodiments of this application and the appended claims are also intended to include the plural forms, and “multiple” generally includes at least two unless the context clearly indicates otherwise.

[0056] It should be understood that the term "and / or" used in this article is merely a description of the relationship between related objects, indicating that three relationships can exist. For example, A and / or B can represent: A existing alone, A and B existing simultaneously, and B existing alone. Additionally, the character " / " in this article generally indicates that the preceding and following related objects have an "or" relationship.

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

[0058] Depending on the context, the words “if” or “suppose” as used here can be interpreted as “when” or “in response to determination” or “in response to detection.” Similarly, depending on the context, the phrases “if determination” or “if detection (of the stated condition or event)” can be interpreted as “when determination” or “in response to determination” or “when detection (of the stated condition or event)” or “in response to detection (of the stated condition or event).”

[0059] It should also be noted that the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that an article or device that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such an article or device. Without further limitation, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the article or device that includes said element.

[0060] It should be noted that any symbols and / or numbers present in the specification that are not marked in the accompanying drawings are not reference numerals.

[0061] Reference Figure 1 A method for issuing in-vehicle hazard warnings, including:

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

[0063] Specifically, in this step, the carbon dioxide concentration data inside the vehicle is acquired in real time based on the vehicle stop signal;

[0064] It is understandable that when a vehicle is stopped, there is a possibility that a child may be forgotten inside. Real-time monitoring of carbon dioxide concentration inside the vehicle is necessary to make further judgments.

[0065] In some of these applications, in response to a vehicle stop signal, the carbon dioxide concentration data inside the vehicle is acquired in real time. Specifically, this includes acquiring the vehicle's speed; when the speed is 0 and there is no change in the speed within a preset time, the vehicle is determined to have stopped, and the carbon dioxide concentration data is acquired in real time.

[0066] Understandably, in order to accurately determine whether a vehicle has stopped, it is necessary to obtain the vehicle's speed. When the speed is 0, it can be determined that the vehicle has stopped, but it may be waiting at a traffic light. Therefore, it is necessary to determine whether the 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. In the case of forgetting a child, carbon dioxide concentration data is obtained in real time.

[0067] In some embodiments, carbon dioxide concentration data are acquired using a carbon dioxide sensor.

[0068] S102, Based on the pre-trained analysis model, the carbon dioxide concentration data is processed to generate carbon dioxide state data;

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

[0070] It is understandable that breathing is a survival instinct for humans and even the entire biological world, and breathing produces carbon dioxide. By analyzing and processing carbon dioxide concentration data, it is possible to provide early warnings of danger.

[0071] In some specific embodiments, carbon dioxide concentration data acquired by a carbon dioxide sensor is sent via the CAN bus to the vehicle gateway or controller for format conversion. The vehicle communication module then sends the data to the cloud for analysis, processing, and storage. This facilitates informing users of the analysis results and allows cloud storage to support machine learning, enabling predictions of potential future scenarios.

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

[0073]

[0074] in,

[0075] thresholdR is the rate of change of carbon dioxide;

[0076] ΔC represents the change in carbon dioxide concentration data;

[0077] Δt is the change over time;

[0078] Based on the analytical model, the rate of change of carbon dioxide within the time change is obtained;

[0079] Understandably, in this application, within a certain time period, for example, a time change of 5 minutes, the rate of carbon dioxide change can be determined based on the change in carbon dioxide within 5 minutes. Since the space inside the car is relatively enclosed, the oxygen content decreases with breathing, while the exhaled carbon dioxide increases. When the rate of carbon dioxide change is rapid within 5 minutes, or when the rate of carbon dioxide change is increasing, the possibility of a child being left behind in the car is higher.

[0080] In other applications, the analysis model includes:

[0081]

[0082] in,

[0083] y(t) is the carbon dioxide concentration data value at time t after being filtered by moving average;

[0084] x(t) represents the carbon dioxide concentration data value of the original data sequence at time t;

[0085] N is the window size, used to calculate the number of data points for the filtered value. Choosing an odd number ensures that at least one...

[0086] One central point;

[0087] k is the index within the window, and the index is moved from the center of the window outwards to cover all numbers within the window.

[0088] stronghold;

[0089] Based on the analytical model, the carbon dioxide state data over the duration is obtained.

[0090] Understandably, in this application, changes in vehicle door opening and closing, air conditioning operation, or the number of people inside the vehicle can cause temporary fluctuations in carbon dioxide concentration data. To accurately determine whether anyone remains inside the vehicle or whether air quality has deteriorated, a moving average filtering method is used. A carbon dioxide sensor continuously collects carbon dioxide concentration data inside the vehicle, resulting in time series data x(t). The carbon dioxide concentration data is then processed using the model described above. y(t) represents the carbon dioxide concentration data value at time t after moving average filtering; x(t) represents the carbon dioxide concentration data value of the original data series at time t; N is the window size, used to calculate the number of data points for the filtered value; an odd number is chosen to ensure a center point; k is the index within the window, moving outwards from the center to cover all data points within the window.

[0091] Where y(t) is the filtered carbon dioxide concentration data value 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 from the most recent minute for averaging.

[0092] When the filtered data y(t) remains above the dangerous value for a period of time, it can be determined that the air quality inside the vehicle is beginning to deteriorate, and the driver should be reminded or the windows should be opened.

[0093] S103, determine whether the carbon dioxide status data meets the preset in-vehicle danger conditions;

[0094] Specifically, in this step, the in-vehicle hazardous conditions are preset, and these conditions are set based on the hazardous values ​​of carbon dioxide concentration data.

[0095] It is understandable that fatigue can occur when the concentration of carbon dioxide in the air reaches 2000 PPM (2%). When it exceeds 5000 PPM (5%), it can cause serious disruption to human functions, leading to loss of consciousness and confusion. Therefore, dangerous conditions inside the vehicle can be set according to the above-mentioned dangerous values.

[0096] In some of these applications, a carbon dioxide change rate threshold is preset, and when the carbon dioxide change rate within the time change reaches the carbon dioxide change rate threshold, the in-vehicle hazardous conditions are met.

[0097] Understandably, an absolute threshold for carbon dioxide concentration is set, such as 1000 ppm. Exceeding this value may indicate unhealthy air quality or the presence of living organisms (such as humans) inside the vehicle. The carbon dioxide change rate threshold refers to the rate of increase of carbon dioxide concentration per unit time. In the aforementioned preset analysis model, the rate of change of carbon dioxide over time can be analyzed. A carbon dioxide change rate threshold is set, and 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 200 ppm within 10 seconds, it can be considered that there has been a sudden change or that an object has been burning. This meets the dangerous conditions inside the vehicle, and the user can be notified or the vehicle can be controlled to open the windows.

[0098] In other applications, a carbon dioxide concentration data threshold is preset for a certain duration; when the carbon dioxide state data within the specified duration meets the carbon dioxide concentration data threshold for that duration, the in-vehicle hazardous condition is met.

[0099] Understandably, in this application, in order to accurately determine whether someone is left in the car or whether the air quality has deteriorated, a threshold for carbon dioxide concentration data is preset for a certain period of time. For example, an absolute threshold for carbon dioxide concentration is set, such as 1000 ppm. When the filtered data y(t) exceeds this threshold and continues for a period of time, such as 3 minutes, we can determine that the air quality inside the car has begun to deteriorate, and we need to remind the driver or automatically open the car windows.

[0100] S104, when the carbon dioxide status data meets the preset in-vehicle danger conditions, a reminder is given to the user based on the carbon dioxide status data.

[0101] In some of these applications, when the carbon dioxide status data processed in the cloud meets the preset dangerous conditions inside the vehicle, an alert will be sent to the user terminal via the cloud. At the same time, the carbon dioxide concentration data inside the vehicle can be monitored in real time via the cloud. When a dangerous alert is received, the user terminal can also remotely control the windows to open, so as to buy time for rescue.

[0102] Through the above steps, real-time remote monitoring can be performed to understand the safety situation inside the vehicle. It is possible to analyze and view changes in carbon dioxide concentration data within a specific scenario or time period, predict future trends in carbon dioxide concentration, and issue early warnings, giving users more time to respond.

[0103] The following is combined with Figures 2 to 4 This invention describes embodiments of the in-vehicle hazard warning method in some applications:

[0104] like Figure 2 As shown:

[0105] Vehicle-mounted carbon dioxide sensor: used to detect the carbon dioxide concentration inside the vehicle in real time;

[0106] Carbon dioxide is the most ideal benchmark for measuring in-vehicle air quality. It is more sensitive than other air quality indicators, and its content varies significantly regardless of the season or the time of day.

[0107] An average adult breathes 7 or 8 liters of air per minute while resting. The air they inhale is about 20% oxygen and the air they exhale contains about 15% oxygen. Therefore, about 5% of the oxygen in the air is consumed per minute and converted into carbon dioxide.

[0108] In a completely enclosed car, assuming an initial carbon dioxide concentration of 400 ppm, it would only take about half an hour to an hour for the concentration to rise to a level that causes severe drowsiness (3000 ppm) and then to a level that is dangerously high (5000 ppm).

[0109] A rough measurement shows that driving at 120 km / h for about 40 minutes will result in a carbon dioxide concentration of 1700 ppm inside the car. This concentration will be even higher when there are many people in the car.

[0110] When the concentration of carbon dioxide in the air reaches 2000 PPM (2%), it can cause fatigue. When it exceeds 5000 PPM (5%), it can cause serious disruption to bodily functions, leading to loss of consciousness and confusion.

[0111] Using infrared (IR) based sensors, such as Honeywell, Vaisala, and Senseair, sensor data is sent to the cloud via Bluetooth or Wi-Fi.

[0112] Communication module:

[0113] The architecture design for transmitting carbon dioxide data based on CAN and vehicle network is as follows:

[0114] 1. Data Acquisition and Transmission Layer:

[0115] Carbon dioxide sensor: This is the data source, measuring the carbon dioxide concentration inside the vehicle.

[0116] Sensor Interface and CAN Adapter: This is a microcontroller or dedicated interface module that reads data from the sensor and formats the data into CAN messages.

[0117] Vehicle CAN bus: All vehicle systems, including the carbon dioxide sensor, put their data on this bus.

[0118] 2. Vehicle network interface layer:

[0119] Vehicle gateway / controller: This is a central device, typically connected to the CAN bus, that reads and interprets CAN messages. It also features in-vehicle network capabilities such as LTE / 4G or Wi-Fi.

[0120] Data preprocessing: On the gateway or controller, the raw CAN data will be decoded and converted into a format suitable for transmission (such as JSON).

[0121] 3. Communication Layer:

[0122] Cellular module: If cellular technologies such as LTE / 4G are used, the vehicle gateway / controller will include a cellular communication module.

[0123] Wi-Fi Module: For Wi-Fi connectivity, a Wi-Fi module is required to connect to an external network.

[0124] 4. Cloud Access Layer:

[0125] Cloud Interface: A RESTful API or MQTT broker used to receive data sent from vehicles.

[0126] Data verification and identity verification: Ensure data integrity and verify the identity of the device sending the data.

[0127] 5. Cloud Data Processing Layer:

[0128] Database: Stores carbon dioxide data received from vehicles.

[0129] Data processing and analysis engine: Performs further processing, analysis, and interpretation of data.

[0130] Alarm and notification system: If the carbon dioxide concentration exceeds a predetermined threshold, the system will trigger an alarm or notification.

[0131] 6. User Interface Layer:

[0132] In-vehicle application interface: Allows users to log in and view their vehicle's carbon dioxide concentration data, history, and alerts.

[0133] like Figure 3 As shown:

[0134] Cloud processing center: If the carbon dioxide concentration exceeds a certain predetermined threshold (e.g., 1000 ppm), an alert will be triggered.

[0135] Time window analysis: If the carbon dioxide concentration remains above a certain threshold for a continuous period of time (e.g., within 5 minutes), an alert is triggered, which is implemented using a sliding window algorithm.

[0136] Trend Analysis: Monitors the trend of carbon dioxide concentration. If the concentration continues to rise, an alert can be triggered even if it has not yet exceeded the threshold.

[0137] Data visualization: Provides a web interface that allows users to view historical and real-time data.

[0138] For child safety, in-vehicle carbon dioxide sensors can provide crucial data to help identify if a child has been forgotten in the car. High carbon dioxide concentrations may indicate higher respiratory activity inside the vehicle compared to the external environment, especially when the vehicle is closed. Regarding child safety, the following are key carbon dioxide data points analyzed in the cloud:

[0139] 1. A sudden increase in carbon dioxide concentration:

[0140] If carbon dioxide levels rise rapidly after a vehicle is turned off, it could indicate the presence of a living organism, such as a child, inside the vehicle, or that something is burning.

[0141] 2. Sustained high carbon dioxide concentration:

[0142] Even if the carbon dioxide concentration remains high after the vehicle has been turned off for a period of time, it may mean that there are children or pets inside the vehicle.

[0143] 3. Vehicle status and carbon dioxide concentration:

[0144] Analyze the relationship between vehicle status (such as whether it is locked or the engine is on) and carbon dioxide concentration to more accurately determine whether a child may have been left in the car.

[0145] 4. Correlation of environmental data:

[0146] If sensors provide temperature and humidity data, this can be correlated with carbon dioxide concentration to determine whether the environment inside the vehicle is suitable for life. For example, high temperature and high carbon dioxide concentration may indicate an extremely dangerous situation inside the vehicle.

[0147] Predictive Analysis:

[0148] Based on historical data and current trends, predict whether carbon dioxide concentrations may reach dangerous levels in the near future.

[0149] Historical data comparison:

[0150] Compare carbon dioxide concentrations with those under normal conditions to identify any unusual increases that may be related to children in the vehicle.

[0151] Notification strategy:

[0152] Based on the analysis results, determine when to send a notification to the vehicle owner or emergency contact. For example, if the carbon dioxide concentration increases rapidly and continues to exceed a safe threshold, send a notification immediately.

[0153] The following describes the model for processing data in the cloud:

[0154] Concentration threshold (C_threshold): A numerical value for carbon dioxide concentration, usually expressed in ppm (parts per million). An absolute threshold for carbon dioxide concentration is set, such as 1000 ppm (parts per million). Exceeding this value may indicate unhealthy air quality or the presence of living organisms (such as humans) inside the vehicle.

[0155] Rate of change threshold (R_threshold): This refers to the rate at which the carbon dioxide concentration increases 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 that something has burned.

[0156]

[0157] Where thresholdR is the threshold for the rate of change.

[0158] ΔC is the change in carbon dioxide concentration.

[0159] Δt is the corresponding change over time.

[0160] This formula describes the rate of change in carbon dioxide concentration. When the ratio of the concentration change ΔC to the time change Δt exceeds a set threshold... R An alarm may be triggered at this time.

[0161] Time window (T_window): Set a time window (e.g., 5 minutes). If the concentration remains above C_threshold within this time, an alarm should be issued.

[0162] Using the above parameters, a quantitative model is constructed to detect sudden changes in carbon dioxide concentration.

[0163] In addition, when using a carbon dioxide sensor to monitor carbon dioxide concentration inside a vehicle, the data can be affected by various factors, such as opening and closing doors, turning the air conditioning on and off, and changes in the number of people inside the vehicle. These factors can all cause temporary changes in carbon dioxide concentration. To accurately determine whether someone is left inside the vehicle or whether air quality has deteriorated, the data needs to be processed to reduce interference from unexpected data.

[0164] Specific applications:

[0165] Data collection: Carbon dioxide concentration inside the vehicle is continuously collected using a carbon dioxide sensor to obtain time series data x(t).

[0166] Moving average filtering: To filter out possible transient noise or sudden concentration changes, a moving average model is applied.

[0167]

[0168] y(t): Carbon dioxide concentration at time t after moving average filtering.

[0169] x(t): The carbon dioxide concentration value of the original data sequence at time t.

[0170] N: Window size, used to calculate the number of data points for the filtered value. Choosing an odd number ensures there is a center point.

[0171] k: The index within the window, moved from the center of the window outwards to cover all data points within the window.

[0172] Where y(t) is the carbon dioxide concentration at time t after filtering, and N is the selected window size. For example, if we collect data once per second, N=60 means averaging the data from the most recent minute.

[0173] Threshold determination: Set a threshold for carbon dioxide concentration, such as 1000 ppm. When the filtered data y(t) exceeds this threshold and persists for a period of time (e.g., 3 minutes), it can be determined that the air quality inside the car is beginning to deteriorate, requiring the driver to be alerted or the windows to be opened automatically.

[0174] Child safety alarm: In conjunction with other sensors (such as temperature sensors, seat sensors, etc.), if the carbon dioxide concentration continues to rise while the temperature inside the car is also rising, 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.

[0175] By using the methods described above, the data from the carbon dioxide sensor can be analyzed more accurately, thereby effectively determining the actual situation inside the vehicle and improving children's safety.

[0176] like Figure 4 As shown:

[0177] User terminal APP: Receives alerts from the cloud and emits sound / vibration to remind the driver. Users register and bind to the vehicle system through the mobile APP. 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 an alert. When the carbon dioxide concentration in the vehicle exceeds the normal range and the vehicle is stationary, the system determines that there may be children in the vehicle and sends an alert to the driver.

[0178] For the purpose of simplicity, the method steps disclosed in the above embodiments are described as a series of actions. However, those skilled in the art should understand that the embodiments of the present invention are not limited to the described order of actions, because according to the embodiments of the present invention, some steps can be performed in other orders or simultaneously. Furthermore, those skilled in the art should also understand that the embodiments described in the specification are all preferred embodiments, and the actions involved are not necessarily essential to the embodiments of the present invention.

[0179] like Figure 5 As shown, the present invention also provides an in-vehicle hazard warning system, comprising:

[0180] The carbon dioxide concentration data acquisition module 201 is configured to acquire real-time carbon dioxide concentration data inside the vehicle in response to a vehicle stop signal.

[0181] The carbon dioxide state generation module 202 is configured to process the carbon dioxide concentration data based on a pre-trained analysis model to generate carbon dioxide state data.

[0182] The in-vehicle hazardous conditions judgment module 203 is configured to judge whether the carbon dioxide state data meets preset in-vehicle hazardous conditions;

[0183] The in-vehicle hazard warning 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 hazard conditions.

[0184] It is worth noting that although only some basic functional modules are disclosed in the embodiments of this invention, it does not mean that the composition of this system is limited to the above-mentioned basic functional modules. On the contrary, what this embodiment intends to express is that, based on the above-mentioned basic functional modules, those skilled in the art can arbitrarily add one or more functional modules in combination with existing technology to form an infinite number of embodiments or technical solutions. That is to say, this system is open rather than closed. The fact that this embodiment only discloses a few basic functional modules should not be considered as the scope of protection of the claims of this invention being limited to the disclosed basic functional modules. At the same time, for the convenience of description, the above device is described separately according to its functions as various units and modules. Of course, in implementing this invention, the functions of each unit and module can be implemented in one or more software and / or hardware.

[0185] like Figure 6 As shown, 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; the memory stores a computer program, and when the computer program is executed by the processor, the processor performs the steps of the in-vehicle hazard warning method.

[0186] Figure 6 This is a schematic diagram of the structure of an electronic device provided in an embodiment of the present invention. Figure 6 The structure shown in this embodiment of the invention includes an electronic device comprising one or more processors 710 and a storage device 720; the processors 710 in this electronic device may be one or more. Figure 6 Taking a processor 710 as an example; a storage device 720 is used to store one or more programs; the one or more programs are executed by the one or more processors 710, so that the one or more processors 710 implement the in-vehicle hazard warning method as described in any one of the embodiments of the present invention.

[0187] The electronic device may also include an input device 730 and an output device 740.

[0188] The processor 710, storage device 720, input device 730, and output device 740 in this electronic device can be connected via a bus or other means. Figure 6 Taking the example of a connection between China and Israel via a bus.

[0189] The storage device 720 in this electronic device serves as a computer-readable storage medium, capable of storing one or more programs. These programs can be software programs, computer-executable programs, or modules, such as the program instructions / modules corresponding to the in-vehicle hazard warning method provided in this embodiment of the invention. The processor 710 executes various functional applications and data processing of the electronic device by running the software programs, instructions, and modules stored in the storage device 720, thereby implementing the in-vehicle hazard warning method described in the above embodiment.

[0190] Storage device 720 may include a program storage area and a data storage area. The program storage area may store the operating system and applications required for at least one function; the data storage area may store data created based on the use of the electronic device. Furthermore, storage device 720 may include high-speed random access memory and may also include non-volatile memory, such as at least one disk storage device, flash memory device, or other non-volatile solid-state storage device. In some instances, storage device 720 may further include memory remotely located relative to processor 710, which can be connected to the device 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.

[0191] Input device 730 can be used to receive input digital or character information, and to generate key signal inputs related to user settings and function control of the electronic device. Output device 740 may include display devices such as a display screen.

[0192] The present invention also provides a computer-readable storage medium storing a computer program executable by an electronic device, which, when run on the electronic device, causes the electronic device to perform the steps of a vehicle hazard warning method.

[0193] Specifically, the computer storage medium in this embodiment of the invention can be 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. For example, a computer-readable storage medium can be—but is not limited to—an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination thereof. More specific examples of computer-readable storage media (a non-exhaustive list) include: an electrical connection having one or more wires, a portable computer disk, a hard disk, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), optical fiber, portable compact disk read-only memory (CD-ROM), optical storage device, magnetic storage device, or any suitable combination thereof. In this embodiment, the computer-readable storage medium can be any tangible medium containing or storing a program that can be used by or in conjunction with an instruction execution system, apparatus, or device.

[0194] The present invention also provides a vehicle equipped with an in-vehicle hazard warning system as described above.

[0195] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, and not to limit them; although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some or all of the technical features; and these modifications or substitutions 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. An in-vehicle danger reminding method characterized by comprising: The method comprises the steps of: in response to a vehicle stop signal, acquiring carbon dioxide concentration data in the vehicle in real time; processing the carbon dioxide concentration data based on a pre-trained analysis model to generate carbon dioxide state data; determining whether the carbon dioxide state data meets a preset vehicle dangerous condition; when the carbon dioxide state data meets the preset vehicle dangerous condition, reminding a user based on the carbon dioxide state data; the processing of the carbon dioxide concentration data based on the pre-trained analysis model to generate carbon dioxide state data specifically comprises: wherein, 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 used to calculate the number of data points of the filtered value, and an odd number is selected to ensure that there is a center point; k is the index in the window, which moves 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 state data within the duration is acquired.

2. The in-vehicle hazard alert method according to claim 1, characterized by, in response to a vehicle stop signal, acquiring carbon dioxide concentration data in the vehicle in real time, specifically comprising: acquiring 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, determining that the vehicle has stopped; acquiring the carbon dioxide concentration data in real time.

3. The in-vehicle hazard alert method of claim 1, wherein processing the carbon dioxide concentration data based on a pre-trained analysis model to generate carbon dioxide state data, specifically comprising: the analysis model comprises: wherein, threshold R is the rate of change of carbon dioxide ΔC is the change amount of the carbon dioxide concentration data; Δt is the time change amount; based on the analysis model, the carbon dioxide change rate within the time change amount is acquired.

4. The in-vehicle hazard alert method of claim 3, wherein, determining whether the carbon dioxide state data meets a preset vehicle dangerous condition, specifically comprising: a preset carbon dioxide change rate threshold; when the carbon dioxide change rate within the time change amount reaches the carbon dioxide change rate threshold, the vehicle dangerous condition is met.

5. The in-vehicle hazard alert method of claim 1, wherein, determining whether the carbon dioxide state data meets a preset vehicle dangerous condition, specifically comprising: a preset carbon dioxide concentration data threshold within a duration; when the carbon dioxide state data within the duration meets the carbon dioxide concentration data threshold within the duration, the vehicle dangerous condition is met.

6. An in-vehicle hazard alert system, characterized by, The method comprises the steps of: 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; a carbon dioxide state generation module configured to process the carbon dioxide concentration data based on a pre-trained analysis model to generate carbon dioxide state data; a vehicle dangerous condition determination module configured to determine whether the carbon dioxide state data meets a preset vehicle dangerous condition; a vehicle danger reminding module configured to remind a user based on the carbon dioxide state data when the carbon dioxide state data meets the preset vehicle dangerous condition; the processing of the carbon dioxide concentration data based on the pre-trained analysis model to generate carbon dioxide state data specifically comprises: wherein, 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 at time t of the original data sequence; N is the window size, the number of data points for calculating the filtered value, and an odd number is selected to ensure a center point; k is the index within the window, moving from the center to both sides to cover all data points within the window; Based on the analysis model, the carbon dioxide state data within the duration is obtained.

7. An electronic device, comprising: Comprise: A processor, a communication interface, a memory and a communication bus, wherein the processor, the communication interface and the memory complete mutual communication through the communication bus; the memory stores a computer program, and when the computer program is executed by the processor, the processor executes the steps of the method in any one of claims 1 to 5.

8. 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 in any one of claims 1 to 5.

9. A vehicle characterized by comprising: The vehicle is provided with the in-vehicle danger reminding system as claimed in claim 6.

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