Early warning type automobile data recorder based on Internet of Things and use method thereof

Abstract

The invention discloses an early warning type automobile data recorder based on the Internet of Things and a use method thereof, and relates to the technical field of automobile data recorders, the early warning type automobile data recorder comprises a central controller and a driving assistance module, the central controller is connected to the driving assistance module through a data signal line, and the central controller is connected to the driving assistance module. The driving auxiliary module is used for performing auxiliary control early warning on the driving process of the user; the driving assistance module comprises a blind spot detection unit, a lane departure detection unit and a fatigue driving detection unit. By installing the driving auxiliary module, the auxiliary monitoring and early warning function in the driving process is achieved, the problem that a traditional automobile data recorder can only record videos and cannot conduct auxiliary judgment on the driving process is solved, the driving safety is improved, correct operation of a driver is ensured, the risk coefficient of the driving process is reduced, and the driving safety is improved. And the personal safety is ensured.

Description

Technical Field

[0001] The present invention relates to the technical field of driving recorders, and in particular to an early warning driving recorder based on the Internet of Things and a method for using the same. Background Art

[0002] The driving recorder is an indispensable part of the automotive industry. It can provide video recording function to help the car continuously record the situation around the vehicle in real time during driving and parking, avoiding the inability to effectively record data when the vehicle has an accident or danger, thus making it impossible to hold accountable.

[0003] However, the existing driving recorders can only provide the function of video recording, and cannot provide auxiliary warning assistance for the driving process, cannot realize the abnormal alarm function during driving, the multi-angle full-time monitoring function of the driving process and the remote communication control function of the vehicle status, and cannot provide more substantial assistance for driving operations, and have little effect on driving safety and the safety of life and property.

[0004] Therefore, it is very necessary for the present application to propose an early warning driving recorder based on the Internet of Things and a method of using the same to solve the defects in the background.

[0005] 1. Patent document CN107274513B discloses a warning-type driving recorder. The above patent realizes an effective warning of driving safety, but the above patent cannot realize the auxiliary monitoring and warning function during driving.

[0006] 2. Patent document CN104952121B discloses a driving recorder. The above patent realizes lane departure warning, fatigue driving warning and speeding warning for a vehicle in motion, but the above patent cannot realize the abnormal alarm function during driving.

[0007] 3. Patent document CN109375245B discloses a vehicle-mounted terminal for short-term risk warning based on high-precision positioning. The above patent is independent of the vehicle's own system and does not rely on various expensive sensors. It only uses high-precision positioning modules and wireless transmission modules to collect and transmit high-precision positioning information of the vehicle and receive warning information from the platform. However, the above patent cannot realize the multi-angle and full-time monitoring function of the driving process.

[0008] 4. Patent document CN107150690B discloses a driving fatigue warning method based on road markings. The above patent realizes the ability to remind drivers to pay more attention, protect drivers' property safety and provide traffic safety monitoring, but the above patent cannot realize the remote communication control function of the vehicle status.

[0009] In summary, the above patents cannot realize the auxiliary monitoring and warning functions during driving, the abnormal alarm function during driving, the multi-angle full-course monitoring function of the driving process, and the remote communication control function of the vehicle status, resulting in reduced driving safety, reduced personal and property safety, and the inability to conduct remote communication monitoring and data exchange of the vehicle;

[0010] To this end, the present application proposes an Internet of Things-based early warning driving recorder and its use method, which can realize auxiliary monitoring and early warning functions during driving, abnormal alarm functions during driving, multi-angle full-time monitoring functions of the driving process and remote communication control functions of the vehicle status. Summary of the invention

[0011] The purpose of the present invention is to provide an early warning type driving recorder based on the Internet of Things and a method of using the same, so as to solve the technical problems proposed in the above-mentioned background technology that the auxiliary monitoring and early warning function during driving, the abnormal alarm function during driving, the multi-angle full-time monitoring function of the driving process and the remote communication control function of the vehicle status cannot be realized, resulting in reduced driving safety, reduced personal and property safety, and inability to perform remote communication monitoring and data exchange on the vehicle.

[0012] To achieve the above object, the present invention provides the following technical solutions: an early warning driving recorder based on the Internet of Things, comprising a central controller and a driving assistance module, wherein the central controller is connected to the driving assistance module via a data signal line, and the driving assistance module is used to perform auxiliary control early warning on the user's driving process;

[0013] The driving assistance module includes: a blind spot detection unit, a lane departure detection unit and a fatigue driving detection unit;

[0014] The blind spot detection unit detects blind spots using a radar sensor and sends a warning signal to the central controller via a data line, transmitting the blind spot detection data to trigger the alarm system;

[0015] The lane departure detection unit detects whether the vehicle deviates from the lane through an ultrasonic sensor, sends a warning signal to the central controller through a data line, and transmits lane departure detection data to trigger the alarm system;

[0016] The fatigue driving detection unit monitors the driver's status through a facial recognition camera, sends a warning signal to the central controller through a data line, transmits fatigue driving detection data and triggers an alarm system.

[0017] Preferably, the central controller is connected to an alarm system module via a data signal line, and the alarm system module is used to promptly remind the driver to take measures in case of abnormal situations;

[0018] The alarm system module includes: a sound alarm unit, a vibration alarm unit and a display alarm unit;

[0019] The sound alarm unit is connected to the central controller via a data signal line, receives abnormal situation data and triggers a sound alarm to alert the driver;

[0020] The vibration alarm unit is connected to the central controller, the seat vibration motor and the steering wheel vibration motor through data signal lines, and triggers a vibration alarm to alert the driver after receiving abnormal situation data;

[0021] The display warning unit is connected to the central controller and the vehicle display through a data signal line. After receiving the warning information data, it is displayed on the vehicle display for the driver to view abnormal information and recommended measures.

[0022] Preferably, the central controller is connected to a sensor module via a data signal line, and the sensor module is used to detect vehicle status data in real time;

[0023] The sensor module includes: a vehicle speed sensor unit, a collision sensor unit and an environment sensor unit;

[0024] The vehicle speed sensor unit measures the vehicle speed by plugging into the ECU via OBD and transmits real-time vehicle speed data to the central controller via the OBD signal line to monitor vehicle speed changes;

[0025] The collision sensor unit detects data on abnormal collision, sudden acceleration and sudden deceleration through OBD, transmits the data to the central controller through the CAN bus to trigger the alarm system and record the accident;

[0026] The environmental sensor unit monitors the environmental data inside and outside the vehicle in real time through the temperature and humidity sensors and atmospheric pressure sensors installed on the side of the vehicle body, and transmits the real-time data to the central controller through the data line for driving comfort evaluation and vehicle health status monitoring.

[0027] Preferably, the central controller is connected to a data processing module via a data line, and the data processing module is used to analyze and process the real-time data collected by the sensor module and generate an early warning signal;

[0028] The data processing module includes: a data acquisition unit, a data storage unit and a data analysis unit;

[0029] The data acquisition unit receives the data from the sensor module through the data line and performs preliminary processing, summons the data into a usable format, and transmits it to the data storage unit through the data line for use by the data analysis unit;

[0030] The data storage unit stores the processed data in a local database via the in-vehicle Internet and backs it up to a cloud database for data analysis and remote access;

[0031] The data analysis unit uses machine learning algorithms to analyze vehicle behavior data, identify abnormal behavior and generate early warning signals.

[0032] Preferably, the central controller is connected to a communication module via a data line, and the communication module is used to realize vehicle data transmission and satisfy the driver's remote real-time monitoring of vehicle status;

[0033] The communication module includes: a wireless communication unit, a Bluetooth communication unit and a GPS positioning unit;

[0034] The wireless communication unit connects to the Internet via 5G and transmits vehicle data to cloud servers and mobile devices for remote monitoring and data analysis;

[0035] The Bluetooth communication unit connects to the driver's mobile phone and mobile device through Bluetooth communication to transmit real-time vehicle data and alarm signals;

[0036] The GPS positioning unit uses the GPS module installed in the vehicle to obtain the vehicle's precise location information, and transmits real-time data to the data processing module via a data cable for driving records and location monitoring.

[0037] Preferably, a video monitoring module is also installed in the driving recorder, and the video monitoring module is connected to the data processing module via a data cable, and the video monitoring module is used to monitor the driving and parking status of the vehicle in real time;

[0038] The video monitoring module includes: a front camera unit, a rear camera unit and a surround vehicle monitoring unit;

[0039] The front camera unit records video from the front view through a high-definition camera mounted on the front side of the vehicle for accident recording and driving behavior monitoring;

[0040] The rear camera unit monitors the rear driving status through a high-definition camera installed at the rear end of the vehicle, providing reverse assistance and safe driving support;

[0041] The surround-vehicle monitoring unit monitors the surrounding environment in real time through high-definition cameras installed on both sides of the vehicle body, reducing blind spots and collision risks, and is used for surround-vehicle monitoring and intelligent analysis.

[0042] Preferably, the communication module is connected to a user interface module via a data signal line, and the user interface module is used to display vehicle status and warning information in real time;

[0043] The user interface module includes: a driver interface unit and a management interface unit;

[0044] The driver interface unit is connected to the central controller via a data signal line, providing the driver with a simple and intuitive interface that displays vehicle status, warning information and operating options;

[0045] The management interface unit is connected to the central controller via the Internet, allowing managers and car owners to remotely monitor vehicle status, view historical data streams and set parameter management.

[0046] Preferably, the machine learning algorithm in the data analysis unit is a SVM algorithm, and the specific algorithm formula is as follows:

[0047] Given a training data set, xi is the input feature vector, yi is the corresponding category label, 1 indicates abnormality, and 0 indicates normality;

[0048] The equation of the hyperplane is w·x+b=0, where w is the normal vector, b is the bias term, and the distance from the data point to the hyperplane is The interval is 2d;

[0049] The decision function of SVM is: f(x) = sign(w·x+b)

[0050] Where, sign is the sign function, and when w·x+b>0, the output is 1;

[0051] When w·x+b<0, output 0.

[0052] Preferably, the method of use comprises the following steps:

[0053] S1. Install the driving recorder on the front and rear glass of the vehicle, connect it to the power supply, and connect the vehicle speed sensor unit, collision sensor unit and environment sensor unit to the data acquisition unit;

[0054] S2, start the recorder system, wait for the system initialization to complete, and set the recorder parameters, storage mode local and cloud storage and alarm sensitivity in the management interface unit;

[0055] S3, the data acquisition unit of the data processing module receives the data of the vehicle speed sensor unit and monitors the vehicle speed and acceleration and deceleration in real time;

[0056] S4. When abnormal behavior occurs, the support vector machine algorithm generates warning information and issues prompts through the sound alarm unit, vibration alarm unit and display screen warning unit of the alarm system module.

[0057] Preferably, the method of use further comprises the following steps:

[0058] S31, the data analysis unit uses a support vector machine algorithm to analyze the vehicle behavior data to detect whether a collision, sudden acceleration or sudden deceleration abnormal behavior occurs;

[0059] S41. The driver interface unit displays a warning message, and the driver takes corresponding measures such as slowing down and paying attention to lane departure according to the prompt.

[0060] Compared with the prior art, the present invention has the following beneficial effects:

[0061] 1. The present invention realizes the auxiliary monitoring and early warning function during driving by installing a driving assistance module, which solves the problem that the traditional driving recorder can only record videos but cannot assist in judging the driving process, improves driving safety, ensures the correct operation of the driver, reduces the risk factor of the driving process, and ensures personal safety;

[0062] 2. The present invention realizes the abnormal alarm function during driving by installing an alarm system module, solves the problem of failure to issue an early warning signal in time to remind the driver of danger according to abnormal conditions, responds to the early warning during driving, improves driving safety, and ensures personal and property safety;

[0063] 3. The present invention realizes the multi-angle full-course monitoring function of the driving process by installing a video monitoring module, solves the problem that the traditional driving recorder has a blind spot in the field of vision and cannot monitor the vehicle status in all directions, improves the driving and parking safety, ensures the personal safety of drivers and pedestrians, and ensures property safety and historical abnormality tracing;

[0064] 4. The present invention realizes the remote communication control function of the vehicle status by installing a communication module, improves the level of remote intelligent control of the vehicle, performs remote data monitoring of the vehicle, and ensures property safety. BRIEF DESCRIPTION OF THE DRAWINGS

[0065] Figure 1 is a schematic diagram of a driving assistance module of the present invention;

[0066] Figure 2 It is a schematic diagram of the alarm system module of the present invention;

[0067] Figure 3 A schematic diagram of a video monitoring module of the present invention;

[0068] Figure 4 It is a schematic diagram of a data processing module of the present invention;

[0069] Figure 5 It is a schematic diagram of the communication module of the present invention. DETAILED DESCRIPTION

[0070] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0071] In the description of the present invention, it should be noted that the terms "upper", "lower", "inner", "outer", "front end", "rear end", "two ends", "one end", "the other end" and the like indicate positions or positional relationships based on the positions or positional relationships shown in the drawings, and are only for the convenience of describing the present invention and simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore cannot be understood as limiting the present invention. In addition, the terms "first" and "second" are used for descriptive purposes only and cannot be understood as indicating or implying relative importance.

[0072] In the description of the present invention, it should be noted that, unless otherwise clearly specified and limited, the terms "installed", "provided with", "connected", etc. should be understood in a broad sense. For example, "connected" can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be a direct connection, or it can be indirectly connected through an intermediate medium, or it can be the internal communication of two components. For ordinary technicians in this field, the specific meanings of the above terms in the present invention can be understood according to specific circumstances.

[0073] Example 1

[0074] See also Figure 1 and Figure 2 , an embodiment provided by the present invention: an early warning driving recorder based on the Internet of Things, comprising a central controller and a driving assistance module, wherein the central controller is connected to the driving assistance module via a data signal line, and the driving assistance module is used to perform auxiliary control early warning on the user's driving process;

[0075] The driving assistance module includes: a blind spot detection unit, a lane departure detection unit and a fatigue driving detection unit;

[0076] The blind spot detection unit detects blind spots using a radar sensor and sends a warning signal to the central controller via a data line, transmitting the blind spot detection data to trigger the alarm system;

[0077] The lane departure detection unit detects whether the vehicle deviates from the lane through an ultrasonic sensor, sends a warning signal to the central controller through a data line, and transmits lane departure detection data to trigger the alarm system;

[0078] The fatigue driving detection unit monitors the driver's status through a facial recognition camera, sends a warning signal to the central controller through a data line, transmits fatigue driving detection data and triggers an alarm system;

[0079] Further, the blind spot detection unit receives data from ultrasonic or radar sensors for monitoring the vehicle's surroundings, pre-processes the sensor data, including filtering and denoising, to ensure data quality, uses the pre-processed data to determine whether other vehicles or objects are located in the vehicle's blind spot, and triggers the alarm system to send a warning signal if an obstacle is detected in the blind spot;

[0080] The lane departure detection unit receives data from the vehicle-mounted camera or ultrasonic sensor, including lane marking information, performs image processing and analysis on the lane information data, extracts the vehicle's current position and lane marking information, analyzes the lane marking information and vehicle position, and determines whether lane departure behavior has occurred. If the vehicle is detected to have lane departure, the alarm system is triggered to send a warning signal to prompt the driver to correct the driving trajectory;

[0081] The fatigue driving detection unit obtains the driver's facial features and eye activity information through a facial recognition camera or an in-vehicle camera, analyzes and processes the driver's facial features and eye activity data to determine whether the driver shows signs of fatigue driving, such as frequent blinking, closing the eyes for too long, etc. If it is detected that the driver is in a fatigued state, the alarm system is triggered to send a warning signal, suggesting that the driver take a rest or stop the car to rest.

[0082] Example 2

[0083] See also Figure 1 and Figure 2 , an embodiment provided by the present invention: an early warning driving recorder based on the Internet of Things, wherein the central controller is connected to an alarm system module via a data signal line, and the alarm system module is used to promptly remind the driver to take measures in case of abnormal conditions;

[0084] The alarm system module includes: a sound alarm unit, a vibration alarm unit and a display alarm unit;

[0085] The sound alarm unit is connected to the central controller via a data signal line, receives abnormal situation data and triggers a sound alarm to alert the driver;

[0086] The vibration alarm unit is connected to the central controller, the seat vibration motor and the steering wheel vibration motor through data signal lines, and triggers a vibration alarm to alert the driver after receiving abnormal situation data;

[0087] The display warning unit is connected to the central controller and the vehicle display screen through a data signal line. After receiving the warning information data, it is displayed on the vehicle display screen for the driver to view abnormal information and measures.

[0088] Further, receiving abnormal situation data, such as collision, sudden acceleration or deceleration, from the data analysis unit, determining the specific type and level of the triggering sound alarm according to the received abnormal situation data, generating a corresponding sound alarm signal according to the alarm type and level, sending the generated sound signal to the in-vehicle sound system or alarm, and playing the sound alarm;

[0089] Receive abnormal situation data, such as collision, sudden acceleration or deceleration, from the data analysis unit, determine the specific type and level of the vibration alarm triggered according to the received abnormal situation data, generate a corresponding seat or steering wheel vibration signal according to the alarm type and level, and send the generated vibration signal to the seat or steering wheel vibration device to trigger the vibration alarm;

[0090] Receive abnormal situation data such as collision, sudden acceleration or deceleration, etc. from the data analysis unit, determine the specific type and level of the alarm that triggers the display screen based on the received abnormal situation data, generate corresponding alarm information based on the alarm type and level, including icons and text prompts, send the generated alarm information to the on-board display screen, and display the alarm icon and text prompt.

[0091] Example 3

[0092] See also Figure 1 , Figure 2 and Figure 3 , an embodiment provided by the present invention: an early warning driving recorder based on the Internet of Things, wherein a video monitoring module is also installed in the driving recorder, the video monitoring module is connected to the data processing module via a data line, and the video monitoring module is used to monitor the driving and parking status of the vehicle in real time;

[0093] The video monitoring module includes: a front camera unit, a rear camera unit and a surround vehicle monitoring unit;

[0094] The front camera unit records video from the front view through a high-definition camera mounted on the front side of the vehicle for accident recording and driving behavior monitoring;

[0095] The rear camera unit monitors the rear driving status through a high-definition camera installed at the rear end of the vehicle, providing reverse assistance and safe driving support;

[0096] The vehicle-surrounding monitoring unit uses high-definition cameras installed on both sides of the vehicle body to monitor the surrounding environment in real time, reduce blind spots and collision risks, and is used for vehicle-surrounding monitoring and intelligent analysis;

[0097] Further, the front camera unit records the video of the front view through the front camera, transmits the recorded video data to the data acquisition unit of the data processing module, and after the data acquisition unit receives the video data, starts video recording, and stores the recorded video data in a local storage device or cloud storage for accident recording and data analysis;

[0098] The rear camera unit records the driving condition video behind the vehicle through the rear camera, transmits the recorded rear video data to the data acquisition unit of the data processing module, and starts video recording after the data acquisition unit receives the rear video data, and stores the recorded rear video data in a local storage device or cloud storage for accident recording and rear driving monitoring;

[0099] The surround vehicle monitoring unit records the video of the vehicle's surrounding environment through multiple front, rear, left and right cameras, and transmits the recorded multi-angle video data to the data acquisition unit of the data processing module. After the data acquisition unit receives the multi-angle video data, it synthesizes the video to form a panoramic surround vehicle monitoring video, and transmits the synthesized surround vehicle monitoring video in real time to the vehicle display screen or the driver interface unit, so that the driver can monitor the surrounding environment and reduce blind spots and collision risks.

[0100] Example 4

[0101] See also Figure 1 , Figure 2 and Figure 4 , an embodiment provided by the present invention: an early warning driving recorder based on the Internet of Things, wherein the central controller is connected to a data processing module via a data line, and the data processing module is used to analyze and process the real-time data collected by the sensor module and generate an early warning signal;

[0102] The data processing module includes: a data acquisition unit, a data storage unit and a data analysis unit;

[0103] The data acquisition unit receives the data from the sensor module through the data line and performs preliminary processing, summons the data into a usable format, and transmits it to the data storage unit through the data line for use by the data analysis unit;

[0104] The data storage unit stores the processed data in a local database via the in-vehicle Internet and backs it up to a cloud database for data analysis and remote access;

[0105] The data analysis unit uses machine learning algorithms to analyze vehicle behavior data, identify abnormal behavior and generate warning signals;

[0106] Furthermore, the data acquisition unit receives data from various sensor modules, such as vehicle speed sensors, collision sensors, cameras, etc., pre-processes the received sensor data, including data parsing, format conversion, denoising, etc., to ensure data quality, and transmits the pre-processed sensor data to the data storage unit and the data analysis unit for subsequent storage and analysis;

[0107] The data storage unit receives the pre-processed sensor data from the data acquisition unit, including vehicle speed, collision, video and other data, classifies the data according to the data type, and stores it in a local storage device or cloud storage to ensure data security and reliability;

[0108] The data analysis unit receives sensor data from the data acquisition unit or the data storage unit, such as vehicle speed, collision, video and other data, and performs further preprocessing on the received sensor data, including data cleaning, feature extraction, data conversion and other operations, in preparation for subsequent data analysis. It uses machine learning algorithms such as support vector machines and neural networks to analyze the preprocessed data, extract useful information and features, and detects whether abnormal behaviors have occurred based on the analysis results, such as collision, sudden acceleration, sudden deceleration, lane departure, fatigue driving, etc. If abnormal behaviors are detected, corresponding warning information is generated, including sound alarms, vibration alarms, display screen alarms, etc. The generated warning information is transmitted to the alarm system module to trigger the corresponding alarm signal to remind the driver to take measures or pay attention to safety.

[0109] Example 5

[0110] See also Figure 1-Figure 5 , an embodiment provided by the present invention: an early warning driving recorder based on the Internet of Things, wherein the central controller is connected to a communication module via a data line, and the communication module is used to realize vehicle data transmission and satisfy the driver's remote real-time monitoring of the vehicle status;

[0111] The communication module includes: a wireless communication unit, a Bluetooth communication unit and a GPS positioning unit;

[0112] The wireless communication unit connects to the Internet via 5G and transmits vehicle data to cloud servers and mobile devices for remote monitoring and data analysis;

[0113] The Bluetooth communication unit connects to the driver's mobile phone and mobile device through Bluetooth communication to transmit real-time vehicle data and alarm signals;

[0114] The GPS positioning unit uses the GPS module installed in the vehicle to obtain the vehicle's precise location information and transmits real-time data to the data processing module through a data line for driving records and location monitoring;

[0115] Furthermore, the wireless communication unit receives data from other vehicle-mounted devices or external systems, such as remote control commands, updated firmware, etc., transmits the received data to the data processing module or other related modules through wireless communication technologies such as 4G / 5G networks, Wi-Fi, etc., receives commands from remote control devices or mobile phone applications, controls the functions of the driving recorder, such as starting recording, turning off alarms, etc., and realizes data synchronization with cloud servers or other vehicle-mounted devices, including uploading driving behavior data, receiving updated firmware, etc.;

[0116] The Bluetooth communication unit connects with surrounding Bluetooth devices, such as mobile phones, headphones, and car audio. After successfully connecting with the Bluetooth device, it realizes two-way data transmission, such as receiving instructions from mobile phone applications or playing audio, and provides interactive functions with the driver's mobile phone application, such as receiving driving reports, setting parameters, etc. The information from the Bluetooth device is displayed on the vehicle display or the driver interface unit for the driver to view and operate;

[0117] The GPS positioning unit receives positioning signals from satellites, obtains the current latitude and longitude coordinates of the vehicle, and processes the received positioning data, including improving positioning accuracy and calculating real-time speed. It tracks the vehicle's position in real time and records trajectory information for functions such as accident reconstruction and driving trajectory playback. Combined with map data, it provides driver navigation functions and displays real-time location, driving route and other information.

[0118] Working principle: First, the wireless communication unit establishes a connection with the cloud server to obtain real-time road traffic information and map data; at the same time, the GPS positioning unit receives satellite signals, locates the vehicle in real time, and provides navigation functions in combination with map data; during driving, the front camera unit and the rear camera unit record the video in front and behind the vehicle, and the surround vehicle monitoring unit synthesizes the panoramic surround vehicle monitoring video in real time to assist the driver in identifying blind spots and avoiding collisions;

[0119] The data acquisition unit receives data from various sensor modules, such as vehicle speed sensors, collision sensors, and environmental sensors, and transmits them to the data processing module; the data processing module preprocesses, extracts features, and converts the received sensor data, and uses machine learning algorithms such as support vector machines to perform data analysis, monitor vehicle behavior in real time, identify abnormal behaviors such as collisions, sudden acceleration, sudden deceleration, lane departure, fatigue driving, etc., and generate warning information;

[0120] The alarm system module triggers the sound alarm unit, vibration alarm unit or display alarm unit according to the warning information generated by the data analysis unit, and sends a warning signal to the driver; at the same time, the Bluetooth communication unit is connected to the driver's mobile phone application to realize remote control function and data synchronization, and provide driving reports, setting parameters and other functions.

[0121] It will be apparent to those skilled in the art that the invention is not limited to the details of the exemplary embodiments described above and that the invention can be implemented in other specific forms without departing from the spirit or essential features of the invention. Therefore, the embodiments should be considered exemplary and non-limiting in all respects, and the scope of the invention is defined by the appended claims rather than the foregoing description, and it is intended that all variations falling within the meaning and scope of the equivalent elements of the claims be included in the invention. Any reference numeral in a claim should not be considered as limiting the claim to which it relates.

Claims

1. An early warning driving recorder based on the Internet of Things, characterized by: It includes a central controller and a driving assistance module, wherein the central controller is connected to the driving assistance module via a data signal line, and the driving assistance module is used to provide auxiliary control warning for the user's driving process; The driving assistance module includes: a blind spot detection unit, a lane departure detection unit and a fatigue driving detection unit; The blind spot detection unit detects blind spots using a radar sensor and sends a warning signal to the central controller via a data line, transmitting the blind spot detection data to trigger the alarm system; The lane departure detection unit detects whether the vehicle deviates from the lane through an ultrasonic sensor, sends a warning signal to the central controller through a data line, and transmits lane departure detection data to trigger the alarm system; The fatigue driving detection unit monitors the driver's status through a facial recognition camera, sends a warning signal to the central controller through a data line, transmits fatigue driving detection data and triggers an alarm system.

2. The early warning driving recorder based on the Internet of Things according to claim 1 is characterized in that: The central controller is connected to an alarm system module via a data signal line, and the alarm system module is used to promptly remind the driver to take measures in case of abnormal situations; The alarm system module includes: a sound alarm unit, a vibration alarm unit and a display alarm unit; The sound alarm unit is connected to the central controller via a data signal line, receives abnormal situation data and triggers a sound alarm to alert the driver; The vibration alarm unit is connected to the central controller, the seat vibration motor and the steering wheel vibration motor through data signal lines, and triggers a vibration alarm to alert the driver after receiving abnormal situation data; The display warning unit is connected to the central controller and the vehicle display through a data signal line. After receiving the warning information data, it is displayed on the vehicle display for the driver to view abnormal information and recommended measures.

3. The early warning driving recorder based on the Internet of Things according to claim 1 is characterized in that: The central controller is connected to a sensor module via a data signal line, and the sensor module is used to detect vehicle status data in real time; The sensor module includes: a vehicle speed sensor unit, a collision sensor unit and an environment sensor unit; The vehicle speed sensor unit measures the vehicle speed by plugging into the ECU via OBD and transmits real-time vehicle speed data to the central controller via the OBD signal line to monitor vehicle speed changes; The collision sensor unit detects data on abnormal collision, sudden acceleration and sudden deceleration through OBD, transmits the data to the central controller through the CAN bus to trigger the alarm system and record the accident; The environmental sensor unit monitors the environmental data inside and outside the vehicle in real time through the temperature and humidity sensors and atmospheric pressure sensors installed on the side of the vehicle body, and transmits the real-time data to the central controller through the data line for driving comfort evaluation and vehicle health status monitoring.

4. The early warning driving recorder based on the Internet of Things according to claim 1 is characterized in that: The central controller is connected to a data processing module via a data line, and the data processing module is used to analyze and process the real-time data collected by the sensor module and generate an early warning signal; The data processing module includes: a data acquisition unit, a data storage unit and a data analysis unit; The data acquisition unit receives the data from the sensor module through the data line and performs preliminary processing, summons the data into a usable format, and transmits it to the data storage unit through the data line for use by the data analysis unit; The data storage unit stores the processed data in a local database via the in-vehicle Internet and backs it up to a cloud database for data analysis and remote access; The data analysis unit uses machine learning algorithms to analyze vehicle behavior data, identify abnormal behavior and generate early warning signals.

5. The early warning driving recorder based on the Internet of Things according to claim 1 is characterized in that: The central controller is connected to a communication module via a data line, and the communication module is used to realize vehicle data transmission and satisfy the driver's remote real-time monitoring of vehicle status; The communication module includes: a wireless communication unit, a Bluetooth communication unit and a GPS positioning unit; The wireless communication unit connects to the Internet via 5G and transmits vehicle data to cloud servers and mobile devices for remote monitoring and data analysis; The Bluetooth communication unit connects to the driver's mobile phone and mobile device through Bluetooth communication to transmit real-time vehicle data and alarm signals; The GPS positioning unit uses the GPS module installed in the vehicle to obtain the vehicle's precise location information, and transmits real-time data to the data processing module via a data cable for driving records and location monitoring.

6. The early warning driving recorder based on the Internet of Things according to claim 1 is characterized in that: The driving recorder is also equipped with a video monitoring module, which is connected to the data processing module via a data cable and is used to monitor the driving and parking status of the vehicle in real time; The video monitoring module includes: a front camera unit, a rear camera unit and a surround vehicle monitoring unit; The front camera unit records video from the front view through a high-definition camera mounted on the front side of the vehicle for accident recording and driving behavior monitoring; The rear camera unit monitors the rear driving status through a high-definition camera installed at the rear end of the vehicle, providing reverse assistance and safe driving support; The surround-vehicle monitoring unit monitors the surrounding environment in real time through high-definition cameras installed on both sides of the vehicle body, reducing blind spots and collision risks, and is used for surround-vehicle monitoring and intelligent analysis.

7. The early warning driving recorder based on the Internet of Things according to claim 5 is characterized in that: The communication module is connected to a user interface module via a data signal line, and the user interface module is used to display vehicle status and warning information in real time; The user interface module includes: a driver interface unit and a management interface unit; The driver interface unit is connected to the central controller via a data signal line, providing the driver with a simple and intuitive interface that displays vehicle status, warning information and operating options; The management interface unit is connected to the central controller via the Internet, allowing managers and car owners to remotely monitor vehicle status, view historical data streams and set parameter management.

8. The early warning driving recorder based on the Internet of Things according to claim 4 is characterized in that: The machine learning algorithm in the data analysis unit is the SVM algorithm, and the specific algorithm formula is as follows: Given a training data set, xi is the input feature vector, yi is the corresponding category label, 1 indicates abnormality, and 0 indicates normality; The equation of the hyperplane is w·x+b=0, where w is the normal vector, b is the bias term, and the distance from the data point to the hyperplane is The interval is 2d; The decision function of SVM is: f(x) = sign(w·x+b) Where, sign is the sign function, and when w·x+b>0, the output is 1; When w·x+b<0, output 0.

9. A method for using an early warning driving recorder based on the Internet of Things, according to any one of claims 1 to 8, characterized in that: The method of use comprises the following steps: S1. Install the driving recorder on the front and rear glass of the vehicle, connect it to the power supply, and connect the vehicle speed sensor unit, collision sensor unit and environment sensor unit to the data acquisition unit; S2, start the recorder system, wait for the system initialization to complete, and set the recorder parameters, storage mode local and cloud storage and alarm sensitivity in the management interface unit; S3, the data acquisition unit of the data processing module receives the data of the vehicle speed sensor unit and monitors the vehicle speed and acceleration and deceleration in real time; S4. When abnormal behavior occurs, the support vector machine algorithm generates warning information and issues prompts through the sound alarm unit, vibration alarm unit and display screen warning unit of the alarm system module.

10. The method for using the early warning driving recorder based on the Internet of Things according to claim 9, characterized in that: The method of use also includes the following steps: S31, the data analysis unit uses a support vector machine algorithm to analyze the vehicle behavior data to detect whether a collision, sudden acceleration or sudden deceleration abnormal behavior occurs; S41. The driver interface unit displays a warning message, and the driver takes corresponding measures such as slowing down and paying attention to lane departure according to the prompt.

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