Data real-time monitoring and alarming system and method for intelligent connected automobile

Abstract

The invention discloses a data real-time monitoring and alarming system for an intelligent networked automobile. The data real-time monitoring and alarming system comprises a main controller MCU; the pressure sensor is used for detecting whether a person is in the vehicle; the door and window control system is used for judging whether the automobile is in a closed state; the countdown control device is used for setting detection time; the laser detection module is used for detecting oxygen concentration; the alarm module is used for receiving an alarm signal and controlling an alarm circuit; the main controller MCU is connected with the door and window control system, the pressure sensor, the countdown control device, the laser detection module and the alarm module, the laser detection module adopts a TDLAS technology, and the concentration of oxygen is determined through the Lambert-Beer law; the alarm module adopts one of light alarm, sound alarm and sound-light alarm. According to the invention, the safe distance analysis module intelligently analyzes and confirms the safe distance to be maintained according to the real-time vehicle speed and the dry-wet condition of the road surface, and the condition of insufficient safe distance is monitored and pre-warned in real time by combining the measured data of the distance measuring device, so that the driving safety is improved.

Description

Technical Field

[0001] The present invention belongs to the field of intelligent transportation technology, and specifically relates to a real-time data monitoring and alarm system and method for intelligent network-connected vehicles. Background Art

[0002] With the rapid development of intelligent connected vehicle technology, more and more intelligent connected vehicles need to be tested on open test roads for intelligent connected vehicles and accumulate autonomous driving mileage to promote commercial demonstration applications. Intelligent connected vehicles rely on on-board monitoring equipment to record their driving data: driving mode, location, speed, acceleration, time, mileage, etc., and upload them to the central supervision platform through communication links.

[0003] For example, Chinese patent CN110727706A discloses a method for rapid extraction and classification of risky driving scenarios for intelligent connected vehicle testing, which includes: normalization of intelligent connected vehicle driving time series data; dimensionality reduction of intelligent connected vehicle driving time series data; discretization and symbolization of intelligent connected vehicle driving time series data; rapid extraction and classification of risky driving scenarios for intelligent connected vehicles. This design method can quickly extract and classify various risky driving scenarios in intelligent connected vehicle test conditions, and provide theoretical method support for the comprehensive construction and refinement and optimization of the driving scenario library in the subsequent intelligent connected vehicle testing phase; however, due to its lack of judgment on the status, data format and data quality of the on-board monitoring equipment, this has greatly affected the progress of intelligent connected vehicle testing.

[0004] Since the existing intelligent connected vehicle system lacks the ability to determine the status, data format and data quality of on-board monitoring equipment, some erroneous data cannot be identified and recorded. In addition, there is a discrepancy between the actual mileage of intelligent connected vehicles and the mileage accumulated and counted by the central supervision platform, making it impossible to achieve an accurate match. Summary of the invention

[0005] In view of the above situation, in order to overcome the defects of the prior art, the present invention provides a real-time data monitoring and alarm system and method for intelligent connected vehicles, so as to at least partially solve the above technical problems.

[0006] The technical solution adopted by the present invention is as follows:

[0007] The present invention proposes a data real-time monitoring and alarm system for intelligent networked vehicles, including a main controller MCU;

[0008] Pressure sensors for detecting whether someone is inside the vehicle;

[0009] Door and window control system used to determine whether the car is in a closed state;

[0010] A countdown control device for setting the detection time;

[0011] Laser detection module for detecting oxygen concentration;

[0012] An alarm module for receiving alarm signals and controlling alarm circuits;

[0013] The main controller MCU is connected with the door and window control system, the pressure sensor, the countdown control device, the laser detection module and the alarm module respectively.

[0014] As a further solution of the present invention: the laser detection module adopts TDLAS technology to determine the concentration of oxygen through Lambert-Beer law.

[0015] As a further solution of the present invention: the alarm module adopts one of light alarm, sound alarm and sound and light alarm.

[0016] As a further solution of the present invention: the system also includes a vehicle speed collection device arranged in the car, which can collect instant vehicle speed data from the vehicle speed measuring device configured in the car and output relevant information, a road surface wetness detection device arranged in the car, which can detect the wetness condition of the road surface on which the car is traveling and output relevant information, and a safety distance analysis module arranged in the car, which can communicate with the vehicle speed collection device and the road surface wetness detection device. After the safety distance analysis module receives the instant vehicle speed related data output by the vehicle speed collection device and the related road surface wetness data output by the road surface wetness detection device, the safety distance analysis module confirms the corresponding safety distance data that the car should maintain immediately with the vehicle in front. , a distance measuring device arranged at the front of the automobile and capable of actually measuring the actual distance between the automobile and the vehicle ahead and outputting corresponding data, a safety distance monitoring module arranged in the automobile and capable of communicating with the distance measuring device and the safety distance analysis module, when the safety distance monitoring module detects that the actual distance data between the automobile and the vehicle ahead output by the distance measuring device is less than the safety distance that should be maintained immediately confirmed by the safety distance analysis module, the safety distance monitoring module immediately issues relevant alarm information and voice prompt information, and a safety distance alarm device arranged in the automobile and capable of communicating with the safety distance monitoring module, the distance measuring device and the safety distance analysis module and capable of issuing relevant alarm signals and voice prompts and displaying relevant data.

[0017] As a further solution of the present invention: after the safety distance alarm device receives the warning information output by the safety distance monitoring module, the safety distance alarm device lights up a yellow warning light and gives a voice reminder; after the safety distance alarm device receives the warning information output by the safety distance monitoring module, the safety distance alarm device lights up a red warning light and gives a voice warning; after the safety distance alarm device receives the actual distance data between the car and the vehicle in front measured by the distance measuring device and the safety distance information that the car and the vehicle in front should maintain immediately output by the safety distance analysis module, the display screen provided in the safety distance alarm device displays the actual distance data between the car and the vehicle in front and the safety distance data that should be maintained immediately.

[0018] As a further solution of the present invention: a method for a real-time data monitoring and alarm system for intelligent networked vehicles:

[0019] Step 1: When the pressure sensor detects that there is someone in the car, it sends a signal to the main controller MCU. When the door and window control system detects that the car is in a closed environment, it sends a signal to the main controller MCU.

[0020] Step 2: When the main controller MCU receives the two signals in step 1 at the same time, it drives the countdown control device to perform the countdown operation; if during the countdown process, the pressure sensor detects that the occupant has gotten off the vehicle or the door or window has been opened, the countdown device stops timing and resets;

[0021] Step 3: When the countdown control device reaches the preset time, the signal is transmitted to the main controller MCU, and the main controller MCU receives the signal and controls the laser detection module to detect the oxygen concentration;

[0022] Step 4: If the oxygen concentration is less than the preset value, the main controller MCU sends an alarm signal to the alarm module according to the received data to alarm.

[0023] As a further solution of the present invention: a method for a real-time data monitoring and alarm system for intelligent networked vehicles. After the system is started, the camera obtains the driver's image information in real time and transmits the information to the ECU, the pressure sensor obtains the driver's grip information in real time and transmits the information to the ECU, and the vehicle instrument obtains the vehicle speed information in real time and transmits the information to the ECU. The ECU analyzes the obtained data and outputs an alarm signal if any dangerous driving behavior condition is met. The dangerous driving behavior condition includes:

[0024] 1) When the vehicle speed is > 0 km / h, the steering wheel pressure is lower than the set threshold;

[0025] 2) The angle at which the driver's line of sight deviates from the front is greater than the set threshold;

[0026] 3) The driver is eating;

[0027] 4) The driver is smoking;

[0028] 5) The driver’s blinking frequency is greater than the set threshold, or the driver’s eye closure time is greater than the set threshold.

[0029] As a further solution of the present invention: EPS transmits the steering wheel angle and torque value to the ECU in real time, and ESP transmits the engine / power motor torque and braking force value to the ECU in real time;

[0030] The dangerous driving behavior conditions also include:

[0031] 6) The steering wheel angle and torque change rate are greater than the set threshold;

[0032] 7) The rate of change of the engine / power motor torque and braking force value is greater than the set threshold.

[0033] As a further solution of the present invention: after the system is started, the ECU identifies the driver's identity through the image information of the camera, and during the operation of the system, the time and the driver's identity of each alarm message are annotated and stored in the vehicle-mounted host.

[0034] As a further solution of the present invention: dangerous driving behavior conditions are divided into three alarm levels, including mildly dangerous driving behavior, moderately dangerous driving behavior, and severely dangerous driving behavior;

[0035] If it is judged as mildly dangerous driving behavior, the HUD will be controlled to flash green warning lights;

[0036] If it is determined to be a moderately dangerous driving behavior, the HUD will be controlled to flash a yellow warning light and the vibrator will be driven to vibrate at a low frequency;

[0037] When it is determined to be a severely dangerous driving behavior, the HUD will be controlled to flash the red warning light and the vibrator will be driven to vibrate at a high frequency.

[0038] Implementing the technical solution of the present invention will have the following beneficial effects:

[0039] By integrating a pressure sensor, a door and window control system, a countdown control device, a laser detection module, an alarm module, a vehicle speed collection device, a road wetness detection device, a safety distance analysis module, a distance measuring device and a safety distance alarm device, the system can comprehensively monitor the in-vehicle environment and driving safety, realize real-time monitoring of oxygen concentration, sealing state, vehicle speed, road condition and safety distance, and effectively prevent potential dangers.

[0040] The present invention uses a safety distance analysis module to intelligently analyze and confirm the safety distance to be maintained according to the instant vehicle speed and the wetness and dryness of the road surface. Combined with the actual measured data of the distance measuring device, the invention monitors and warns in real time the situation of insufficient safety distance, thereby improving driving safety.

[0041] When the system detects an abnormal situation, such as insufficient oxygen concentration or insufficient safety distance, the present invention can immediately send out warning information and voice prompts through the safety distance alarm device and light up a yellow or red warning light to ensure that the driver can take timely measures.

[0042] Through the intelligent control of the main controller MCU, the system can automatically adjust the monitoring strategy according to the status of the people in the car and the environmental changes. For example, when there is no one in the car or the doors and windows are open, the countdown device automatically stops timing, reducing invalid monitoring and improving system efficiency and user experience.

[0043] The present invention uses the display screen of the safety distance alarm device to display the actual distance between the car and the vehicle in front and the safety distance data to be maintained in real time, providing the driver with an intuitive driving reference and enhancing the accuracy of driving decisions.

[0044] The present invention can monitor oxygen concentration and give timely alarm in an unmanned and closed environment in the vehicle, which is of great significance for preventing dangers caused by lack of oxygen to the people in the vehicle, and also provides timely information for possible rescue operations.

[0045] The above summary is for illustrative purposes only and is not intended to be limiting in any way. In addition to the illustrative aspects, embodiments and features described above, further aspects, embodiments and features of the present invention will be readily apparent by reference to the accompanying drawings and the following detailed description. BRIEF DESCRIPTION OF THE DRAWINGS

[0046] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or technical descriptions are briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0047] Figure 1 A framework diagram of a real-time data monitoring and alarm system for intelligent networked vehicles proposed in an embodiment of the present invention;

[0048] Figure 2 A framework diagram of a real-time data monitoring and alarm system method for intelligent connected vehicles proposed in an embodiment of the present invention.

[0049] The accompanying drawings are used to provide further understanding of the present invention and constitute a part of the specification. They are used to explain the present invention together with the embodiments of the present invention and do not constitute a limitation of the present invention. DETAILED DESCRIPTION

[0050] In the following, only some exemplary embodiments are briefly described. As those skilled in the art will appreciate, the described embodiments may be modified in various ways without departing from the spirit or scope of the present invention. Therefore, the drawings and descriptions are considered to be exemplary and non-restrictive in nature.

[0051] It should be noted that the terms "first", "second", etc. are only used to distinguish between description and position description, and cannot be understood as indicating or implying relative importance or implicitly indicating the number of the indicated technical features. Therefore, the feature defined as "first" etc. may explicitly or implicitly include one or more of the features; similarly, when the quantity of certain features is not limited in the form of words such as "two" or "three", it should be noted that the feature also explicitly or implicitly includes one or more feature quantities;

[0052] In the embodiments of the present invention, unless otherwise clearly specified and limited, the terms such as "installation", "connection", "fixation" and the like should be understood in a broad sense; for example, it can be a fixed connection, a detachable connection, or an integral molding; it can be a mechanical connection, a direct connection, welding, or an indirect connection through an intermediate medium, or it can be the internal connection of two elements or the interaction relationship between two elements. For ordinary technicians in this field, the specific meanings of the above terms in the present invention can be understood according to the drawings in the specification and in combination with specific circumstances.

[0053] In the description of the embodiments of the present invention, it should be understood that terms such as "upper", "lower", "front", "back", "left", "right", "top", "bottom", "inside" and "outside" indicating directions or positional relationships are based on the directions or positional relationships shown in the accompanying drawings, and are only for the convenience of describing the present invention and simplifying the description, rather than indicating or implying that the device or element referred to must have a specific direction, be constructed and operated in a specific direction, and therefore cannot be understood as limiting the embodiments of the present invention.

[0054] like Figure 1 to Figure 2 As shown, an embodiment of the present invention provides a data real-time monitoring and alarm system for intelligent networked vehicles, including a main controller MCU;

[0055] Pressure sensors for detecting whether someone is inside the vehicle;

[0056] Door and window control system used to determine whether the car is in a closed state;

[0057] A countdown control device for setting the detection time;

[0058] Laser detection module for detecting oxygen concentration;

[0059] An alarm module for receiving alarm signals and controlling alarm circuits;

[0060] The main controller MCU is connected with the door and window control system, the pressure sensor, the countdown control device, the laser detection module and the alarm module respectively.

[0061] In a specific application of the embodiment of the present invention, the pressure sensor is installed under the car seat to monitor in real time whether there is a passenger in the car. When the sensor detects a pressure change, it is considered that there is someone in the car.

[0062] The door and window control system is connected to the vehicle's door and window status sensors to determine whether the car is in a closed state. When all doors and windows are closed, the system determines that the car is in a closed environment. The countdown control device allows users to set the detection time, such as starting the countdown after parking. During the set time, the system continuously monitors the vehicle's interior environment, and triggers an alarm when the set time is exceeded and the interior environment is abnormal.

[0063] The laser detection module is used to detect the oxygen concentration in the car. Through laser absorption spectroscopy technology, it monitors in real time whether the oxygen content is within the safe range. When the oxygen concentration is lower than the safety threshold, the system will sound an alarm. The alarm module integrates the functions of receiving alarm signals and controlling alarm circuits. Once an abnormal situation is detected (such as low oxygen concentration, someone in the car and the vehicle is sealed for more than the set time), the alarm module will start immediately and sound an alarm through sound, light or remote communication to notify the owner or emergency contact.

[0064] The main controller MCU is responsible for collecting and processing data from the door and window control system, pressure sensor, countdown control device, and laser detection module, and analyzing the data through a preset algorithm to determine whether to trigger an alarm. At the same time, the MCU controls the start and stop of the alarm module to ensure that the system runs efficiently and accurately.

[0065] In a possible implementation, the laser detection module uses TDLAS technology to determine the oxygen concentration through the Lambert-Beer law; the alarm module uses one of a light alarm, a sound alarm, and a sound-light alarm.

[0066] In a specific application of the embodiment of the present invention, the TDLAS technology emits a laser of a specific wavelength, which is specifically absorbed by oxygen molecules. When the laser passes through the gas, part of the energy will be absorbed by the oxygen molecules, resulting in a decrease in the laser intensity detected by the receiving end. According to the Lambert-Beer law, the amount of light absorbed is proportional to the concentration of the gas in the optical path and proportional to the optical path length. The system can calculate the oxygen concentration by measuring the attenuation of the laser intensity and combining it with the known optical path length.

[0067] There are three types of alarms: light alarm, sound alarm, and sound and light alarm. The system will automatically select the most appropriate alarm method based on the severity of the abnormal oxygen concentration detected. For example, when the oxygen concentration is slightly abnormal, the system may only activate the light alarm to avoid causing unnecessary panic; when the oxygen concentration is seriously abnormal and may endanger life safety, the sound and light alarm will be activated at the same time to ensure that the information can be noticed immediately so that emergency measures can be taken to ensure the safety of personnel.

[0068] In a possible implementation, the system further includes a vehicle speed collection device disposed in the vehicle and capable of collecting instant vehicle speed data from a vehicle speed measuring device configured in the vehicle and outputting relevant information, a road surface wetness detection device disposed in the vehicle and capable of detecting the wetness condition of the road surface on which the vehicle is traveling and outputting relevant information, and a safety distance analysis module disposed in the vehicle and capable of communicating with the vehicle speed collection device and the road surface wetness detection device. After the safety distance analysis module receives the instant vehicle speed-related data output by the vehicle speed collection device and the relevant road surface wetness data output by the road surface wetness detection device, the safety distance analysis module confirms the corresponding safety distance that the vehicle should maintain immediately with the vehicle ahead. data, a distance measuring device arranged at the front of the automobile that can actually measure the actual distance between the automobile and the vehicle in front and output corresponding data, a safety distance monitoring module arranged in the automobile that can communicate with the distance measuring device and the safety distance analysis module, when the safety distance monitoring module detects that the actual distance data between the automobile and the vehicle in front output by the distance measuring device is less than the safety distance that should be maintained immediately confirmed by the safety distance analysis module, the safety distance monitoring module immediately issues relevant alarm information and voice prompt information, and a safety distance alarm device arranged in the automobile that can communicate with the safety distance monitoring module, the distance measuring device and the safety distance analysis module and can issue relevant alarm signals and voice prompts and can display relevant data.

[0069] In a specific application of the embodiment of the present invention, the vehicle speed collection device is installed in the vehicle, which can read the vehicle's instantaneous speed data in real time. The data comes from the speed measurement system configured in the vehicle, ensuring the accuracy and real-time nature of the data. The road surface wetness detection device is also installed in the vehicle, which can detect the wetness of the driving road surface in real time. By analyzing the signal reflected by the road surface or the contact sensor, the device can determine whether the road surface is wet and slippery and output relevant data.

[0070] The safety distance analysis module receives the data output by the vehicle speed collection device and the road surface wetness detection device, combines the vehicle's instantaneous speed and road conditions, and calculates the instantaneous safety distance that the vehicle should maintain with the vehicle in front through a preset safety algorithm. The distance measuring device is installed at the front of the car, which can measure the actual distance between the vehicle and the vehicle in front in real time. Usually, technologies such as laser radar, millimeter wave radar or visual sensor are used to ensure the accuracy of distance measurement.

[0071] The safety distance monitoring module monitors the actual distance data between the vehicle and the vehicle in front output by the distance measuring device in real time. When the actual distance monitored is less than the safety distance determined by the safety distance analysis module, the safety distance monitoring module will respond immediately. As the information output terminal of the system, the safety distance alarm device can receive the alarm signal sent by the safety distance monitoring module, and notify the driver immediately through sound and light alarms and voice prompts, while displaying relevant data, such as the actual distance and the safety distance to be maintained, to help the driver take timely measures to avoid collisions.

[0072] In a possible implementation, after the safety distance alarm device receives the warning information output by the safety distance monitoring module, the safety distance alarm device lights up a yellow warning light and gives a voice reminder. After the safety distance alarm device receives the warning information output by the safety distance monitoring module, the safety distance alarm device lights up a red warning light and gives a voice warning. After the safety distance alarm device receives the actual distance data between the car and the vehicle in front measured by the distance measuring device and the safety distance information that the car and the vehicle in front should maintain in real time output by the safety distance analysis module, the display screen set in the safety distance alarm device displays the actual distance data between the car and the vehicle in front and the safety distance data that should be maintained in real time.

[0073] In a specific application of the embodiment of the present invention, when the distance data detected by the safety distance monitoring module approaches the preset safety threshold, the system immediately activates the early warning mechanism. First, the safety distance alarm device receives the warning information, at which time the yellow warning light turns on, and at the same time, the built-in voice reminder system starts, prompting the driver to keep a safe distance through voice, achieving dual visual and auditory warnings and enhancing the early warning effect.

[0074] If the distance between the vehicle and the obstacle ahead is further reduced and reaches the warning level, the safety distance alarm device will light up a red warning light and use a stronger voice warning to prompt the driver to take evasive or deceleration measures immediately to avoid potential collision risks. The distance measuring device in the system works together with the safety distance analysis module to not only monitor the actual distance in real time, but also calculate the safe distance that should be maintained immediately based on dynamic factors such as vehicle speed and road conditions. This information is intuitively displayed to the driver through the display screen, helping him to more accurately judge the distance to the vehicle ahead and improve driving safety.

[0075] In a possible implementation, a method for a real-time data monitoring and alarm system for an intelligent connected vehicle is as follows:

[0076] Step 1: When the pressure sensor detects that there is someone in the car, it sends a signal to the main controller MCU. When the door and window control system detects that the car is in a closed environment, it sends a signal to the main controller MCU.

[0077] Step 2: When the main controller MCU receives the two signals in step 1 at the same time, it drives the countdown control device to perform the countdown operation; if during the countdown process, the pressure sensor detects that the occupant has gotten off the vehicle or the door or window has been opened, the countdown device stops timing and resets;

[0078] Step 3: When the countdown control device reaches the preset time, the signal is transmitted to the main controller MCU, and the main controller MCU receives the signal and controls the laser detection module to detect the oxygen concentration;

[0079] Step 4: If the oxygen concentration is less than the preset value, the main controller MCU sends an alarm signal to the alarm module according to the received data to alarm.

[0080] In the specific application of the embodiment of the present invention, human body detection and closed environment judgment, the system first uses the pressure sensor to detect whether there is a person in the car, and the door and window control system monitors whether the vehicle is in a closed state. Once it is confirmed that there is someone in the car and the vehicle is closed, a signal is sent to the main controller MCU.

[0081] Countdown mechanism and status monitoring, after receiving the above two signals, the MCU immediately starts the countdown control device and starts timing. During this process, if the pressure sensor detects that the person in the car has left or the door or window is opened, the countdown will automatically stop and reset to avoid unnecessary alarms.

[0082] When the countdown reaches the preset time point, the countdown device will send a signal to the MCU. At this time, the MCU controls the laser detection module to accurately measure the oxygen concentration in the car. If the detected oxygen concentration is lower than the preset safety threshold, the MCU will quickly activate the alarm module based on the collected data and send out an alarm signal to remind relevant personnel that the environment in the car may pose a threat to their health.

[0083] In a possible implementation, a method for a real-time data monitoring and alarm system for intelligent networked vehicles is provided. After the system is started, a camera obtains the driver's image information in real time and transmits the information to the ECU. A pressure sensor obtains the driver's grip information in real time and transmits the information to the ECU. A vehicle instrument obtains the vehicle speed information in real time and transmits the information to the ECU. The ECU analyzes the obtained data and outputs an alarm signal if any dangerous driving behavior condition is met. The dangerous driving behavior conditions include:

[0084] 1) When the vehicle speed is > 0 km / h, the steering wheel pressure is lower than the set threshold;

[0085] 2) The angle at which the driver's line of sight deviates from the front is greater than the set threshold;

[0086] 3) The driver is eating;

[0087] 4) The driver is smoking;

[0088] 5) The driver’s blinking frequency is greater than the set threshold, or the driver’s eye closure time is greater than the set threshold.

[0089] In a specific application of the embodiment of the present invention, after receiving the data, the ECU analyzes the data through a preset algorithm to determine whether the data meets the dangerous driving behavior conditions:

[0090] Condition 1: When the vehicle speed is greater than 0 km / h, if the steering wheel pressure is lower than the preset threshold, it may indicate that the driver is not paying attention or is driving fatigued.

[0091] Condition 2: Through camera analysis, if the driver's line of sight deviates from the front by an angle exceeding a preset threshold, it may mean that the driver is distracted.

[0092] Condition 3: The camera recognizes that the driver is eating, which may affect driving concentration.

[0093] Condition 4: The camera recognizes that the driver is smoking, which may also be a distraction.

[0094] Condition 5: Use a camera to monitor the driver's blinking frequency or eye closing time to determine whether the driver is in a fatigued state.

[0095] When the ECU determines that any condition is met, the system will trigger an alarm signal to alert the driver through in-vehicle warning lights, sound warnings or vibrations. At the same time, the alarm information can be sent to the remote monitoring center through vehicle networking technology to achieve remote monitoring and intervention.

[0096] In a possible implementation, EPS transmits the steering wheel angle and torque value to the ECU in real time, and ESP transmits the engine / power motor torque and braking force value to the ECU in real time;

[0097] Dangerous driving behavior conditions also include:

[0098] 6) The steering wheel angle and torque change rate are greater than the set threshold;

[0099] 7) The rate of change of the engine / power motor torque and braking force value is greater than the set threshold.

[0100] In the specific application of the embodiment of the present invention, the EPS system monitors the steering wheel angle and torque value in real time. These data reflect the driver's steering intention and steering force. When the driver turns the steering wheel, the EPS sensor will immediately detect the steering wheel angle and torque changes, and transmit these data to the ECU at high speed. The ESP system is responsible for real-time monitoring and control of vehicle stability. It monitors the engine / power motor torque and braking force values ​​to ensure the stability and safety of the vehicle under various driving conditions. When the vehicle's driving state changes, the ESP sensor will detect the real-time changes in the engine / power motor torque and braking force, and quickly transmit these data to the ECU.

[0101] After receiving the real-time data transmitted by EPS and ESP, ECU will immediately analyze and process it. The judgment conditions of dangerous driving behavior are preset in ECU, including but not limited to: the change rate of steering wheel angle and torque is greater than the preset threshold, which may mean that the driver is making a sharp turn or sudden turn; the change rate of engine / power motor torque and braking force value is greater than the preset threshold, which may indicate that the vehicle is experiencing sudden acceleration or emergency braking.

[0102] The ECU determines in real time whether the vehicle's driving status has reached a dangerous level based on preset dangerous driving behavior conditions. Once dangerous driving behavior is detected, the ECU will immediately trigger the alarm system to warn the driver through sound, light or other means, and may take corresponding safety measures, such as automatic deceleration, stabilization of the vehicle body, etc., to prevent potential traffic accidents.

[0103] In a possible implementation, after the system is started, the ECU identifies the driver through the image information of the camera, and stores each alarm message with the time and driver identity in the vehicle host during the system operation; the dangerous driving behavior conditions are divided into three alarm levels, including mild dangerous driving behavior, moderate dangerous driving behavior, and severe dangerous driving behavior;

[0104] If it is judged as mildly dangerous driving behavior, the HUD will be controlled to flash green warning lights;

[0105] If it is determined to be a moderately dangerous driving behavior, the HUD will be controlled to flash a yellow warning light and the vibrator will be driven to vibrate at a low frequency;

[0106] When it is determined to be a severely dangerous driving behavior, the HUD will be controlled to flash the red warning light and the vibrator will be driven to vibrate at a high frequency.

[0107] In a specific application of the embodiment of the present invention, after the system is started, the embedded camera collects image information and uses image recognition technology to identify the driver's identity. During the operation of the system, each time an alarm is triggered, the system will record the alarm time and the current driver's identity, and store this information in the vehicle host. This is helpful for post-analysis and tracking of driver behavior.

[0108] Dangerous driving behaviors are divided into three levels, namely mild, moderate and severe dangerous driving behaviors. This grading mechanism enables the system to respond according to different levels of danger, improving the pertinence and effectiveness of the alarm. When the system determines that it is a mildly dangerous driving behavior, it will warn by controlling the head-up display (HUD) to flash green. This gentle reminder is designed to attract the driver's attention without excessively interfering with driving.

[0109] For moderately dangerous driving behaviors, the system controls the HUD to flash yellow as an alarm, and at the same time activates the vibrator to vibrate at a low frequency to remind the driver in a more direct way. The combination of yellow alarm and low-frequency vibration can effectively convey warning information without overly scaring the driver. In the case of severe dangerous driving behaviors, the system controls the HUD to flash red as an emergency alarm, and at the same time drives the vibrator to vibrate at a high frequency. The combination of red alarm and high-frequency vibration can quickly attract the driver's full attention in an emergency and ensure that he takes immediate action.

[0110] It should be noted that, in this article, relational terms such as first and second, etc. are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device.

[0111] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the appended claims and their equivalents.

[0112] The present invention and its embodiments are described above, and such description is not restrictive. The drawings show only one embodiment of the present invention, and the actual structure is not limited thereto. In short, if ordinary technicians in the field are inspired by it, without departing from the purpose of the invention, they can design a structure and embodiment similar to the technical solution without creativity, which should belong to the protection scope of the present invention.

Claims

1. A real-time data monitoring and alarm system for intelligent networked vehicles, characterized in that: Including main controller MCU; Pressure sensors for detecting whether someone is inside the vehicle; Door and window control system used to determine whether the car is in a closed state; A countdown control device for setting the detection time; Laser detection module for detecting oxygen concentration; An alarm module for receiving alarm signals and controlling alarm circuits; The main controller MCU is connected with the door and window control system, the pressure sensor, the countdown control device, the laser detection module and the alarm module respectively.

2. The real-time data monitoring and alarm system for intelligent networked vehicles according to claim 1 is characterized in that: The laser detection module adopts TDLAS technology to determine the concentration of oxygen through Lambert-Beer law.

3. The real-time data monitoring and alarm system for intelligent networked vehicles according to claim 1 is characterized in that: The alarm module adopts one of light alarm, sound alarm and sound and light alarm.

4. The real-time data monitoring and alarm system for intelligent networked vehicles according to claim 1 is characterized in that: The system also includes a vehicle speed collection device arranged in the vehicle, capable of collecting instant vehicle speed data from a vehicle speed measuring device configured in the vehicle and outputting relevant information, a road surface wetness detection device arranged in the vehicle, capable of detecting the wetness condition of the road surface on which the vehicle is traveling and outputting relevant information, and a safety distance analysis module arranged in the vehicle, capable of communicating with the vehicle speed collection device and the road surface wetness detection device. After the safety distance analysis module receives the instant vehicle speed related data output by the vehicle speed collection device and the related road surface wetness data output by the road surface wetness detection device, the safety distance analysis module confirms the corresponding safety distance data that the vehicle should maintain immediately with the vehicle ahead. A distance measuring device at the front part can measure the actual distance between the automobile and the vehicle in front and output corresponding data; a safety distance monitoring module is arranged in the automobile and can communicate with the distance measuring device and the safety distance analysis module; when the safety distance monitoring module detects that the actual distance data between the automobile and the vehicle in front outputted by the distance measuring device is less than the safety distance that should be maintained immediately confirmed by the safety distance analysis module, the safety distance monitoring module immediately issues relevant alarm information and voice prompt information; a safety distance alarm device is arranged in the automobile and can communicate with the safety distance monitoring module, the distance measuring device and the safety distance analysis module and can issue relevant alarm signals and voice prompts and can display relevant data.

5. The real-time data monitoring and alarm system for intelligent networked vehicles according to claim 4 is characterized in that: After the safety distance alarm device receives the warning information output by the safety distance monitoring module, the safety distance alarm device lights up a yellow warning light and gives a voice reminder. After the safety distance alarm device receives the warning information output by the safety distance monitoring module, the safety distance alarm device lights up a red warning light and gives a voice warning. After the safety distance alarm device receives the actual distance data between the car and the vehicle in front measured by the distance measuring device and the safety distance information that the car and the vehicle in front should maintain immediately output by the safety distance analysis module, the display screen provided in the safety distance alarm device displays the actual distance data between the car and the vehicle in front and the safety distance data that should be maintained immediately.

6. The method for real-time data monitoring and alarm system for intelligent networked vehicles according to any one of claims 1 to 5, characterized in that: Step 1: When the pressure sensor detects that there is someone in the car, it sends a signal to the main controller MCU. When the door and window control system detects that the car is in a closed environment, it sends a signal to the main controller MCU. Step 2: When the main controller MCU receives the two signals in step 1 at the same time, it drives the countdown control device to perform the countdown operation; if during the countdown process, the pressure sensor detects that the occupant has gotten off the vehicle or the door or window has been opened, the countdown device stops timing and resets; Step 3: When the countdown control device reaches the preset time, the signal is transmitted to the main controller MCU, and the main controller MCU receives the signal and controls the laser detection module to detect the oxygen concentration; Step 4: If the oxygen concentration is less than the preset value, the main controller MCU sends an alarm signal to the alarm module according to the received data to alarm.

7. The method for real-time data monitoring and alarm system for intelligent networked vehicles according to any one of claims 1 to 5, characterized in that: After the system is started, the camera acquires the driver's image information in real time and transmits the information to the ECU. The pressure sensor acquires the driver's grip information in real time and transmits the information to the ECU. The vehicle instrument acquires the vehicle speed information in real time and transmits the information to the ECU. The ECU analyzes the acquired data and outputs an alarm signal if any dangerous driving behavior condition is met. The dangerous driving behavior conditions include: 1) When the vehicle speed is > 0 km / h, the steering wheel pressure is lower than the set threshold; 2) The angle at which the driver's line of sight deviates from the front is greater than the set threshold; 3) The driver is eating; 4) The driver is smoking; 5) The driver’s blinking frequency is greater than the set threshold, or the driver’s eye closure time is greater than the set threshold.

8. The method for real-time data monitoring and alarm system for intelligent networked vehicles according to claim 7, characterized in that: EPS transmits the steering wheel angle and torque value to the ECU in real time, and ESP transmits the engine / power motor torque and braking force value to the ECU in real time; The dangerous driving behavior conditions also include: 6) The steering wheel angle and torque change rate are greater than the set threshold; 7) The rate of change of the engine / power motor torque and braking force value is greater than the set threshold.

9. The method of the real-time data monitoring and alarm system for intelligent networked vehicles according to claim 7, characterized in that: After the system is started, the ECU identifies the driver through the camera's image information. During the system operation, it will annotate the time and driver's identity of each alarm message and store it in the vehicle host.

10. The method of the data real-time monitoring and alarm system for intelligent networked vehicles according to claim 7, characterized in that: The dangerous driving behavior conditions are divided into three warning levels, including mild dangerous driving behavior, moderate dangerous driving behavior, and severe dangerous driving behavior; If it is judged as mildly dangerous driving behavior, the HUD will be controlled to flash green warning lights; If it is determined to be a moderately dangerous driving behavior, the HUD will be controlled to flash a yellow warning light and the vibrator will be driven to vibrate at a low frequency; When it is determined to be a severely dangerous driving behavior, the HUD will be controlled to flash the red warning light and the vibrator will be driven to vibrate at a high frequency.

Images