Vehicle-mounted monitoring equipment accident video rapid storage method and system

Abstract

The invention belongs to the field of vehicle-mounted equipment, and particularly relates to a vehicle-mounted monitoring equipment accident video rapid storage method and system, and the method comprises the steps: collecting image data in real time, processing the image data, storing the processed image data in an equipment memory, and collecting vehicle attitude information in real time; the vehicle attitude information is analyzed, and whether an accident occurs or not is judged; if the accident occurs, generating a rapid storage trigger signal, and extracting video frame data in a preset time period before and after the accident from a running memory as rapid storage information; and meanwhile, the quickly stored information is written into an eMMC memory and is sent to the cloud for storage. The problem that vehicle-mounted monitoring equipment is low in reliability is solved.

Description

Technical Field

[0001] This invention belongs to the field of vehicle-mounted equipment, and in particular relates to a method and system for rapid saving of accident recordings from vehicle-mounted monitoring equipment. Background Technology

[0002] With the widespread use of in-vehicle monitoring equipment, dashcams have become a standard feature in vehicles, especially commercial vehicles, to record video data during driving, so as to determine liability and analyze accidents in the event of a traffic accident.

[0003] Currently, most dashcams on the market use TF cards or SD cards as storage media, and are usually installed near the windshield of the vehicle. However, when a vehicle is involved in a major accident such as an explosion, severe collision, or fall, this installation location and storage solution have significant drawbacks: the uncontrollable factors such as high temperatures, severe compression, strong inertia, high-frequency vibration, and direct impact generated by the accident can easily cause the dashcam device to be damaged as a whole, the TF card to break, or the SD card to eject; if there are no road surveillance facilities at the scene of the accident, the above problems will directly result in the loss of accident recordings, making it impossible to trace the accident and determine responsibility, which will greatly hinder the accident handling work. Large vehicles such as trucks, trains, and buses are equipped with protective storage devices with explosion-proof, dustproof, and fireproof characteristics, which can solve the above problems, but these storage devices have the following problems: First, the manufacturing cost of such protective storage devices is high, which greatly increases the configuration cost of vehicles, especially for commercial vehicles deployed in large quantities, which is a significant economic burden; Second, these protective devices are generally large in size and are not compatible with small vehicles such as sedans and small SUVs. Small vehicles still face the risk of losing accident recordings, and the need for secure storage of accident recordings covering all vehicle models cannot be met. Summary of the Invention

[0004] This invention provides a method and system for rapid saving of accident recordings from vehicle-mounted monitoring equipment, solving the problem of low reliability of vehicle-mounted monitoring equipment.

[0005] This invention provides a basic solution: a rapid recording and storage system for accident videos from vehicle-mounted monitoring equipment, comprising: The video capture module is used to capture real-time video data; The vehicle attitude acquisition module is used to collect vehicle attitude information and send it to the accident monitoring module; The accident monitoring module is electrically connected to the video acquisition module, vehicle attitude acquisition module, eMMC memory, and communication module. It is used to generate video data from the image data, and also to determine whether an accident has occurred based on the vehicle attitude information. Based on the determination result, it generates a fast save trigger signal and sends it to the eMMC memory and communication module. Device memory, used to store video recording data; The backup power module is used to monitor the power supply status of the equipment and provide power to the equipment when the power supply is abnormal. The eMMC memory is used to read video data of a preset duration before and after an accident from the running memory according to the fast save trigger signal sent by the accident monitoring module. The communication module connects to the cloud storage network and is used to send the pre-set video data before and after the accident in the running memory to the cloud storage for storage based on the fast save trigger signal sent by the accident monitoring module.

[0006] Preferably, the accident monitoring module includes a patch accelerometer for collecting vehicle acceleration data.

[0007] Preferably, the accident monitoring module includes an image data processing submodule and a signal triggering submodule. The video data processing submodule is used to compress and encode the acquired video data, temporarily store the encoded video frames in the running memory in a circular queue to form recording data, and store the recording data in the device memory. The signal triggering submodule analyzes the vehicle attitude information to determine whether an accident has occurred, generates an accident identification result, generates a fast save trigger signal based on the accident identification result, and sends the fast save trigger signal to the eMMC memory and the communication module respectively.

[0008] More preferably, the fast save trigger signal generation strategy includes a. Receive vehicle attitude information from the vehicle attitude acquisition module in real time and perform preprocessing; the vehicle attitude information includes acceleration, angular velocity, and tilt angle, and the preprocessing includes filtering, noise reduction, and calibration; b. Extract key feature parameters from the preprocessed vehicle attitude information, including triaxial acceleration, rate of change of acceleration, attitude angle, and vibration information; c. A rule engine is used to make logical judgments on key feature parameters. When the key feature parameters meet the preset accident judgment conditions, an accident identification result is generated. d. Generate a quick save trigger signal based on the accident identification results.

[0009] Preferably, the judgment logic for the accident identification result is as follows: For key feature parameters in the preprocessed vehicle attitude information, corresponding accident scenario judgment thresholds are set. When any feature parameter reaches or exceeds the corresponding threshold, a preliminary accident warning is triggered. After the initial accident warning is triggered, further collaborative analysis is conducted on the abnormal states of different characteristic parameters.

[0010] Preferably, the backup power module includes a supercapacitor, and the energy storage capacity of the supercapacitor is set according to the network upload rate, local storage rate, and bitrate requirements.

[0011] Preferably, the communication module is connected to the cloud storage via a cellular network.

[0012] Another basic solution provided by this invention: a method for quickly saving accident recordings from vehicle-mounted monitoring equipment, comprising the following steps: The system collects video data in real time, processes it, and stores it in the device's memory. It also collects vehicle attitude information in real time. Analyze vehicle attitude information to determine whether an accident has occurred; If an accident is detected, a fast save trigger signal is generated, and video frame data for a preset time period before and after the accident is extracted from the running memory as fast save information. Simultaneously, the information is quickly saved and written to the eMMC storage, and then sent to cloud storage.

[0013] The principles and advantages of this invention are as follows: 1. Adopting a dual-path data backup design, on the one hand, it relies on the eMMC embedded storage chip to directly read the running memory data. The eMMC chip is highly integrated with the device motherboard, and has stronger resistance to high temperature, vibration and compression. It can lock the key video recordings before and after the accident in an instant. On the other hand, it transmits the data to the cloud storage through the communication module. At the same time, it abandons the single storage reliance of the traditional external TF / SD card. Cloud storage breaks through the limitations of physical damage. Even if the device is completely destroyed, the data can still be obtained through the cloud, completely solving the problem of easy loss of video recordings after an accident, ensuring that the accident is traceable and improving the reliability of the device.

[0014] 2. A mechanism linking real-time vehicle attitude monitoring, automatic accident determination, and backup power supply is adopted. The vehicle attitude acquisition module obtains vehicle acceleration information, and the accident monitoring module automatically determines an accident and triggers data saving using a preset algorithm. The backup power supply module monitors power supply in real time and provides power to core components in case of anomalies. This allows for rapid response to accidents, preventing video loss. Furthermore, it ensures data reading and saving processes even in the event of power failure, resolving video retention issues caused by power outages or lack of manual operation in extreme scenarios, and improving data storage reliability.

[0015] 3. Employing a differentiated storage strategy and miniaturized hardware integration design, critical accident recordings and routine daily recordings are stored separately. Simultaneously, the eMMC chip, communication module, and backup power supply are integrated into the device's motherboard, without occupying additional space. This approach, which utilizes high-reliability storage only for critical recordings while reusing low-cost equipment for routine recordings, significantly reduces the cost of mass deployment in commercial vehicles. The miniaturized integrated design is suitable for space-constrained vehicle models such as sedans and small SUVs, filling the gap in reliable storage solutions for small vehicles and achieving full vehicle model coverage. Attached Figure Description

[0016] Figure 1 This is a system logic block diagram of the present invention; Figure 2 This is a logic block diagram of Embodiment 1 of the present invention; Figure 3 This is a flowchart of the present invention; Figure 4 This is a flowchart of Embodiment 2 of the present invention. Detailed Implementation

[0017] The following detailed description illustrates the specific implementation method: The specific implementation process is as follows: (See details) Figures 1 to 2 A system for rapid recording and saving accident videos of vehicle-mounted monitoring equipment, comprising: A video acquisition module is used to acquire real-time video data; specifically, the video acquisition module includes a camera, which is electrically connected to the accident monitoring module. The vehicle attitude acquisition module is used to collect vehicle attitude information and send it to the accident monitoring module. The vehicle attitude information includes vehicle acceleration data, which is collected by a patch accelerometer sensor. The patch accelerometer sensor is mounted on the device motherboard to avoid hardware disconnection due to collisions. By using a built-in patch accelerometer sensor, the probability of sensor failure is reduced. This sensor collects vehicle attitude information and can be used to detect collision accidents. When acceleration suddenly decreases, acceleration suddenly increases, or the device direction changes, the information collected by this sensor can identify situations such as collisions, falls, and rollovers.

[0018] The accident monitoring module is electrically connected to the video acquisition module, vehicle attitude acquisition module, eMMC memory, and communication module. It is used to generate video data from the image data, and also to determine whether an accident has occurred based on the vehicle attitude information. Based on the determination result, it generates a fast save trigger signal and sends it to the eMMC memory and communication module. Specifically, the accident monitoring module includes an image data processing submodule and a signal triggering submodule. The video data processing submodule is used to compress and encode the acquired video data, temporarily store the encoded video frames in the running memory in a circular queue to form recording data, and store the recording data in the device memory. The signal triggering submodule analyzes the vehicle attitude information to determine whether an accident has occurred, generates an accident identification result, generates a fast save trigger signal based on the accident identification result, and sends the fast save trigger signal to the eMMC memory and the communication module respectively.

[0019] The fast save trigger signal generation strategy includes: a. Receive vehicle attitude information from the vehicle attitude acquisition module in real time and perform preprocessing; the vehicle attitude information includes acceleration, angular velocity, and tilt angle, and the preprocessing includes filtering, noise reduction, and calibration; b. Extract key feature parameters from the preprocessed vehicle attitude information, including triaxial acceleration, rate of change of acceleration, attitude angle, and vibration information; c. A rule engine is used to make logical judgments on key feature parameters. When the key feature parameters meet the preset accident judgment conditions, an accident identification result is generated. d. Generate a quick save trigger signal based on the accident identification results.

[0020] The judgment logic for the accident identification result is as follows: For key feature parameters in the preprocessed vehicle attitude information, corresponding accident scenario judgment thresholds are set. When any feature parameter reaches or exceeds the corresponding threshold, a preliminary accident warning is triggered. After the initial accident warning is triggered, further collaborative analysis is conducted on the abnormal states of different characteristic parameters.

[0021] The device memory is used to store the data encoded by the accident monitoring module; specifically, a D / TF card is used for normal video recording of the vehicle when there is no accident.

[0022] The backup power module is used to monitor the power supply status of the equipment and provide power to the equipment when the power supply is abnormal. The backup power module includes a supercapacitor. This supercapacitor is built into the device's motherboard. In the event of an accident, such as a power cord disconnection, the supercapacitor allows the device's data storage function to continue operating normally for a preset time, providing a final window for saving and uploading accident recordings. If uploading longer recordings is required, a larger supercapacitor can be used to retain power. This backup power supply does not use a battery to avoid the risk of the battery being ejected in an accident due to its removable nature, and also because batteries pose inherent safety hazards; therefore, using a battery solution is not recommended.

[0023] The power supply support time of the farad capacitor should be greater than the data writing time.

[0024] The power supply duration, data write-out time, and preset duration are related as follows: T_power≈(C×(V_max 2 -V_min 2 )) / (2×P_max) In the formula, C is the capacitance, P is the system power consumption, and V_max is the capacitance value. 2 -V_min 2 V_min represents the voltage variation and is the minimum operating voltage of the system. The data write-out time is determined by the total amount of data and the write-out channel rate.

[0025] T_data is determined by the bitrate, preset duration, and write channel rate.

[0026] T_data=(Bitrate×T_total) / R_network_min In the formula, T_data is the data writing time, Bitrate is the bitrate, T_total is the preset duration, and R_network_min is the minimum network upload rate; The preset duration is the length of the accident video recording that needs to be saved. In this embodiment, it is necessary to save 5 seconds of accident video recording before and after the accident (a total of 10 seconds).

[0027] T_power≥(T_total×Bitrate) / R_network_min Therefore, the capacity of a farad capacitor is set according to the network upload speed, local storage speed, and bitrate requirements.

[0028] In this embodiment, the preset duration is 10 seconds, the video bitrate is 1.6 Mbps, the minimum network upload speed is 2 Mbps, the system operating voltage range is 3-3.3V, and the peak power consumption in emergency mode is 2 Watts. Using the above formula, the required minimum power support time T_power ≥ 8 seconds is calculated, so the farad capacitor must be able to support the system to operate normally for at least 8 seconds. According to the power support time formula, the capacitor's charge storage capacity can be set to C ≈ 16.93F.

[0029] The eMMC memory is used to read pre-set video data before and after an incident from the running memory based on a fast save trigger signal sent by the incident monitoring module. Since SD / TF cards are prone to ejection and damage when used for storing video data, a surface-mount eMMC memory is built into the device in addition to normal recording using SD / TF cards. Because eMMC memory is non-replaceable and has a limited lifespan, it does not record under normal conditions. Only when an incident is detected is frame data quickly read from the running memory and immediately saved to the eMMC memory. Because it is surface-mount, it is not easily damaged during an incident. If other components of the device are damaged after an incident, the damaged device can be located, and the eMMC memory can be removed using a soldering station or clipped in with a programming clip, allowing the video data from the time of the incident to be retrieved. The memory size of the eMMC storage is dynamically configured according to the size of the farad capacitor and the specific use case. For example, if it is necessary to upload accident video recordings of 5 seconds before and after the accident (a total of 10 seconds), it is recommended to use a resolution of 720x480 and a frame rate of 15FPS. In this case, the 10 seconds of data will only be 2MB in size.

[0030] The communication module, connected to the cloud storage network (5G or 4G), is used to send pre-set video recordings of the period before and after the incident from the running memory to the cloud storage for storage, based on a fast save trigger signal sent by the incident monitoring module. The communication module is built into the device's motherboard. In the event of an incident, the eMMC storage may be damaged, and in some scenarios, the device may be unrecoverable (e.g., falling off a cliff or sinking into water). Therefore, the device's built-in communication module connects to a cellular network. When an incident occurs, it quickly reads frame data from memory and immediately uploads it to cloud storage, ensuring that the original incident recordings can be found even if the device cannot be recovered.

[0031] It also includes cloud storage for storing video data uploaded by the communication module.

[0032] In this embodiment, the camera model is GC2053-C47Y0, the accelerometer model is QMI8658A, the farad capacitor model is HT-2R7-J156MTA38(C15)(Z46), the eMMC memory model is Samsung KLM8G1GETF-B041, the main control chip of the accident monitoring module is NOVATEK NT98528 ARM Cortexa9, and the communication module model is QUECTEL EC25x.

[0033] Example 2 See Figure 3 A method for quickly saving accident recordings from vehicle-mounted monitoring equipment, used in the aforementioned system, includes the following steps: The system collects video data in real time, processes it, and stores it in the device's memory. It also collects vehicle attitude information in real time. Analyze vehicle attitude information to determine whether an accident has occurred; If an accident is detected, a fast save trigger signal is generated, and video frame data for a preset time period before and after the accident is extracted from the running memory as fast save information. Simultaneously, the information is quickly saved and written to the eMMC storage, and then sent to cloud storage.

[0034] Specifically, see Figure 4 The system collects video data in real time via a camera, encodes the collected data, and temporarily stores it in the running memory. In non-accident situations, the processed data is stored in the device's memory. It also collects vehicle attitude information in real time. In this embodiment, it collects acceleration information and analyzes the acceleration to determine whether an accident has occurred. If an accident occurs, a fast save trigger signal is generated and sent to the eMMC memory and communication module. The eMMC memory reads the fast save information according to preset rules, and the communication module also sends the fast save information to the cloud for storage.

[0035] The above are merely embodiments of the present invention. Commonly known structures and characteristics are not described in detail here. Those skilled in the art are aware of all common technical knowledge in the field prior to the application date or priority date, are aware of all existing technologies in that field, and have the ability to apply conventional experimental methods prior to that date. Those skilled in the art can, under the guidance of this application, improve and implement this solution in combination with their own capabilities. Some typical known structures or methods should not be obstacles for those skilled in the art to implement this application. It should be noted that those skilled in the art can make several modifications and improvements without departing from the structure of the present invention. These should also be considered within the scope of protection of the present invention, and will not affect the effectiveness of the implementation of the present invention or the practicality of the patent. The scope of protection claimed in this application should be determined by the content of its claims, and the specific embodiments described in the specification can be used to interpret the content of the claims.

Claims

1. A rapid accident recording and storage system for vehicle-mounted monitoring equipment, characterized in that, include: The video capture module is used to capture real-time video data; The vehicle attitude acquisition module is used to collect vehicle attitude information and send it to the accident monitoring module; The accident monitoring module is electrically connected to the video acquisition module, vehicle attitude acquisition module, eMMC memory, and communication module. It is used to generate video data from the image data, and also to determine whether an accident has occurred based on the vehicle attitude information. Based on the determination result, it generates a fast save trigger signal and sends it to the eMMC memory and communication module. Device memory, used to store video recording data; The backup power module is used to monitor the power supply status of the equipment and provide power to the equipment when the power supply is abnormal. The eMMC memory is used to read video data of a preset duration before and after an accident from the running memory according to the fast save trigger signal sent by the accident monitoring module. The communication module connects to the cloud storage network and is used to send the pre-set video data before and after the accident in the running memory to the cloud storage for storage based on the fast save trigger signal sent by the accident monitoring module.

2. The vehicle-mounted monitoring equipment accident recording rapid storage system according to claim 1, characterized in that: The accident monitoring module includes a patch accelerometer for collecting vehicle acceleration data.

3. The vehicle-mounted monitoring equipment accident recording rapid storage system according to claim 1, characterized in that: The accident monitoring module includes a video data processing submodule and a signal triggering submodule. The video data processing submodule is used to compress and encode the acquired video data, temporarily store the encoded video frames in the running memory in a circular queue to form recording data, and store the recording data in the device memory. The signal triggering submodule analyzes the vehicle attitude information to determine whether an accident has occurred, generates an accident identification result, generates a fast save trigger signal based on the accident identification result, and sends the fast save trigger signal to the eMMC memory and the communication module respectively.

4. The vehicle-mounted monitoring equipment accident recording rapid storage system according to claim 3, characterized in that: The fast save trigger signal generation strategy includes: a. Receive vehicle attitude information from the vehicle attitude acquisition module in real time and perform preprocessing; the vehicle attitude information includes acceleration, angular velocity, and tilt angle, and the preprocessing includes filtering, noise reduction, and calibration; b. Extract key feature parameters from the preprocessed vehicle attitude information, including triaxial acceleration, rate of change of acceleration, attitude angle, and vibration information; c. A rule engine is used to make logical judgments on key feature parameters. When the key feature parameters meet the preset accident judgment conditions, an accident identification result is generated. d. Generate a quick save trigger signal based on the accident identification results.

5. The vehicle-mounted monitoring equipment accident recording rapid storage system according to claim 1, characterized in that: The judgment logic for the accident identification result is as follows: For key feature parameters in the preprocessed vehicle attitude information, corresponding accident scenario judgment thresholds are set. When any feature parameter reaches or exceeds the corresponding threshold, a preliminary accident warning is triggered. After the initial accident warning is triggered, further collaborative analysis is conducted on the abnormal states of different characteristic parameters.

6. The vehicle-mounted monitoring equipment accident recording rapid storage system according to claim 1, characterized in that: The backup power module includes a supercapacitor, and the capacity of the supercapacitor is set according to the network upload rate, local storage rate, and bitrate requirements.

7. The vehicle-mounted monitoring equipment accident recording rapid storage system according to claim 1, characterized in that: The communication module is connected to the cloud storage via a cellular network.

8. A method for rapid saving of accident recordings from vehicle-mounted monitoring equipment, characterized in that, Includes the following steps: The system collects video data in real time, processes it, and stores it in the device's memory. It also collects vehicle attitude information in real time. Analyze vehicle attitude information to determine whether an accident has occurred; If an accident is detected, a fast save trigger signal is generated, and video frame data for a preset time period before and after the accident is extracted from the running memory as fast save information. Simultaneously, the information is quickly saved and written to the eMMC storage, and then sent to cloud storage.

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