Automatic accident mark cancelling method

Abstract

The invention provides a method for automatically cancelling an accident mark. The method specifically comprises the following steps: executing accident grade judgment; judging whether to start a power consumption control mode according to the accident level; continuously monitoring the state of the accident vehicle; judging whether to control the global positioning system module to execute displacement sensing according to the accident vehicle state; data packaging is executed according to a displacement sensing data result and is sent to the cloud; the cloud receives the data packet and starts a verification mechanism; and judging whether to execute accident mark cancelling operation or not according to the verification result. The problems that in the prior art, cancel of the accident mark lags behind, and vehicle energy is wasted are solved.

Description

Technical Field

[0001] The present invention relates to the field of intelligent transportation technology, and in particular to a method for automatically canceling an accident mark. Background Art

[0002] In existing technologies, the cancellation of traffic accident markings primarily relies on the following three approaches: Manual intervention: Users or traffic control personnel submit complaints through online platforms or offline windows, relying on manual review of evidence. This process can be delayed for several days, resulting in low efficiency and a low success rate. Static time threshold: The navigation platform automatically cancels markings after a set time period, but it cannot perceive the accident clearance status in real time, making it prone to accidental cancellation or retention. Basic displacement determination: Some high-end smart connected vehicles use GPS displacement monitoring to trigger cancellation, but this has issues such as high energy consumption and poor adaptability to different scenarios.

[0003] The cancellation of the accident mark is too delayed, causing the driver to take an ineffective detour during driving and find that there is no traffic accident when he actually arrives; or after the vehicle is involved in an accident, the vehicle GPS continues to work at full power consumption, resulting in a waste of vehicle energy. Summary of the Invention

[0004] The problem solved by the present invention is that the cancellation of the accident mark in the prior art is delayed, which wastes vehicle energy.

[0005] To solve the above problems, the present invention provides a method for automatically canceling an accident mark, which includes the following steps: executing an accident level determination; determining whether to start a power consumption control mode based on the accident level; continuously monitoring the state of the accident vehicle; determining whether to control a global positioning system module to perform displacement sensing based on the state of the accident vehicle; packaging data based on the displacement sensing data results and sending the data to the cloud; the cloud receiving the data packet and starting a verification mechanism; and determining whether to perform an accident mark cancellation operation based on the verification result.

[0006] Compared with the existing technology, the technical effect achieved by this technical solution is as follows: the method for automatically cancelling accident marks can adopt different processing strategies according to the severity of the accident by executing accident level judgment. Combined with whether to start the power consumption control mode, it can reasonably control energy consumption while ensuring the effectiveness of monitoring and avoid waste of resources. Continuously monitoring the status of the accident vehicle and judging whether to control the global positioning system module to perform displacement sensing based on the status can accurately capture the actual movement of the vehicle and provide a reliable basis for subsequent operations. The verification mechanism is initiated by the cloud and the cancellation of the accident mark is judged based on the results, which realizes the automation and intelligence of the cancellation of the accident mark, reduces manual intervention, improves the efficiency and accuracy of accident handling, ensures that the accident mark is consistent with the actual status of the vehicle, and avoids misjudgment or omission.

[0007] Furthermore, executing the accident level determination includes the following steps: setting the acceleration trigger threshold, trigger time, pressure threshold, difference threshold, and suspension displacement threshold; detecting the three-axis acceleration, airbag pressure value, and suspension displacement; if the Z-axis acceleration exceeds the acceleration trigger threshold within the trigger time, it is determined to be a primary accident; if the airbag pressure value exceeds the pressure threshold and the difference between the multiple airbag pressure values ​​measured by the sensor is less than the difference threshold, it is determined to be a valid trigger; if the suspension displacement exceeds the suspension displacement threshold, it is determined to be valid physical deformation evidence; the accident index is calculated based on the maximum value of the three-axis acceleration, the average value of the multiple airbag pressure values, and the suspension displacement; and whether the accident is a moderate accident or a severe accident is determined based on the accident index.

[0008] Compared to existing technologies, this technical solution achieves the following technical benefits: In practical applications, primary accidents do not cause serious damage to the vehicle and are easy to handle, even requiring no accident marking or external personnel to intervene, allowing the vehicle to leave the scene on its own. However, in moderate accidents, the vehicle's airbags often deploy, resulting in changes in airbag pressure and a higher maximum triaxial acceleration than in primary accidents. In these cases, occupants may be unable to continue driving for various reasons or may be overwhelmed with handling the accident, rendering the vehicle immobile for a certain period of time. By setting multiple specific thresholds, such as acceleration triggering thresholds and pressure thresholds, this system provides clear quantitative criteria for determining accident severity. Furthermore, the airbag pressure value is combined with the airbag pressure value to determine whether a trigger has occurred, thus avoiding false alarms. In more severe collisions, in addition to triaxial acceleration and airbag data, the vehicle often experiences a certain degree of suspension deformation and displacement. This displacement is also used as a basis for determining accident severity. By calculating an accident index to determine whether the accident is moderate or severe, this system further improves the accuracy of accident severity determination, providing a scientific basis for subsequent actions such as whether to initiate power consumption control mode, ensuring that treatment measures are commensurate with the severity of the accident.

[0009] Furthermore, determining whether to start the power consumption control mode based on the accident level includes the following steps: if it is determined to be a moderate accident, starting the power consumption control mode; the power consumption control mode includes: reducing the power consumption of the vehicle positioning unit; reducing the sampling frequency of the inertial measurement unit, setting the vibration detection threshold; and turning off secondary loads.

[0010] Compared with the existing technology, the technical effect achieved by this technical solution is: reducing the power consumption of the vehicle positioning unit and the sampling frequency of the inertial measurement unit, which can reduce energy consumption while ensuring the core monitoring function, extend the vehicle's power supply life after an accident, and avoid the loss of key data or monitoring interruption due to power exhaustion. Setting the vibration detection threshold can ensure that the inertial measurement unit can still effectively capture key vibration signals at a low sampling frequency without affecting the subsequent judgment of the vehicle status. Turning off secondary loads further reduces unnecessary energy consumption, concentrating limited energy on core monitoring and communication functions, and improving the stability and continuity of system operation during accident handling.

[0011] Furthermore, judging whether to control the global positioning system module to perform displacement sensing according to the state of the accident vehicle specifically includes the following steps: when the inertial measurement unit detects a vibration feature that is continuous and exceeds the vibration detection threshold, the system controls the global positioning system module to perform displacement sensing.

[0012] Compared with the existing technology, the technical effect achieved by this technical solution is: the vibration characteristics serve as a precursor signal of possible vehicle displacement, which is used as a condition to trigger the operation of the global positioning system module, and can accurately capture the displacement state of the vehicle, ensuring that the displacement data is obtained through the global positioning system module in a timely manner when the vehicle is actually moving, providing an accurate basis for the subsequent verification of the cancellation of the accident mark, which not only ensures the effectiveness of monitoring, but also achieves reasonable control of energy consumption.

[0013] Furthermore, displacement perception specifically includes the following steps: setting a dynamic threshold reference value according to the road type and making dynamic corrections based on environmental parameters; collecting the original coordinate points of the accident vehicle and eliminating multipath effect errors; mapping the vehicle coordinates to the lane centerline through a road projection algorithm; and calculating the surface distance using the semi-haversine formula based on the World Geodetic System ellipsoid model.

[0014] Compared with the existing technology, the technical effect achieved by this technical solution is: by setting a dynamic threshold reference value according to the road type and combining it with environmental parameter correction, the displacement judgment standard is more in line with the actual road conditions, and the adaptability and accuracy of the threshold are improved. After collecting the original coordinate points, the multipath effect error is eliminated, the interference of factors such as signal reflection on the positioning accuracy is reduced, and the authenticity of the coordinate data is guaranteed. The coordinates are mapped to the lane centerline through the road projection algorithm, so that the representation of the vehicle position is more consistent with the actual layout of the road, which is convenient for accurately judging the displacement of the vehicle on the road. The surface distance is calculated using the semi-verse formula based on the ellipsoid model of the World Geodetic System, taking into account the characteristics of the earth's curved surface. Compared with the plane distance calculation, it is more accurate and can truly reflect the actual displacement of the vehicle, providing a reliable quantitative basis for subsequent data judgment.

[0015] Furthermore, data packaging is performed based on the displacement sensing data results and sent to the cloud, specifically including: within the set detection window, if the surface distance exceeds the dynamic threshold reference value, data packaging is performed and sent to the cloud.

[0016] Compared to existing technologies, this solution achieves the following technical benefits: By setting a detection window and using surface distance exceeding a dynamic threshold as a trigger for data packet transmission, it avoids invalid data transmission caused by minor vehicle movement and other non-essential displacements, reducing cloud-based data processing and communication energy consumption. Data is only transmitted when vehicle displacement reaches a certain level, ensuring that the data uploaded to the cloud is meaningful, improving the effectiveness and relevance of data transmission, providing valuable judgment basis for cloud-based verification mechanisms, and optimizing system communication efficiency.

[0017] Furthermore, the specific steps of the verification mechanism include: verifying the spatiotemporal continuity of the data; performing collaborative verification of surrounding vehicle trajectories; excluding prohibited parking areas; and writing the hash value of the data into the smart contract.

[0018] Compared with the existing technology, the technical effects achieved by this technical solution are: verifying the spatiotemporal continuity of data, ensuring that the uploaded displacement data is coherent and reasonable in time and space, and avoiding misjudgments due to data anomalies or tampering. Performing collaborative verification of surrounding vehicle trajectories, through cross-comparison of multi-vehicle data, enhances the credibility of displacement judgment and reduces possible errors in single vehicle data. Excluding no-parking areas can avoid misjudging abnormal displacement of vehicles in no-parking areas as valid movement, thereby improving the rationality of verification. Writing the hash value of the data into the smart contract and utilizing the immutability of blockchain technology to ensure the integrity and security of the data, prevent the data from being tampered with during transmission or storage, ensure the reliability of the verification results, and make the accident mark cancellation operation more credible and accurate.

[0019] Furthermore, judging whether to execute the accident mark cancellation operation according to the verification result includes the following steps: if the verification mechanism passes, the accident mark cancellation operation is executed; the accident mark cancellation operation includes the following steps: updating the road condition information of the navigation platform; synchronizing the traffic control system status, and completing the accident mark cancellation operation.

[0020] Compared to existing technologies, this solution achieves the following technical benefits: The accident marking cancellation operation is executed after the verification mechanism passes, ensuring operational accuracy and preventing accidental cancellations from impacting traffic management. Updating the navigation platform's road condition information provides timely feedback to other vehicles regarding the resolved accident, guiding them to plan their routes appropriately and reducing traffic congestion caused by unremoved accident markings. Synchronizing traffic control system status allows traffic management departments to monitor the progress of accident handling in real time, facilitating subsequent traffic diversion and management, and improving the efficiency of coordinated accident handling.

[0021] Furthermore, before the step of continuously monitoring the status of the accident vehicle, after the step of determining whether to start the power consumption control mode according to the accident level, the method for automatically canceling the accident mark also includes: starting the sleep mode when the vehicle battery voltage is lower than the set threshold. In the sleep mode, the system power consumption only maintains the near-field communication wake-up circuit standby.

[0022] Compared to existing technologies, this solution achieves the following technical benefits: Maintaining only the NFC wake-up circuit in standby mode minimizes system power consumption, extends battery life, and prevents the vehicle from completely losing its monitoring and communication capabilities due to battery depletion. The standby mode of the NFC wake-up circuit allows the vehicle to be awakened by external signals even in a dormant state, facilitating subsequent vehicle processing or system reactivation, ensuring basic interactivity even when the vehicle is low on battery.

[0023] Furthermore, in the sleep mode, the last known location of the accident vehicle is sent via satellite at regular intervals.

[0024] Compared to existing technologies, this solution achieves the following technical benefits: By transmitting the last known location of an accident vehicle via satellite at regular intervals during sleep mode, the system continuously provides relevant parties with the vehicle's approximate location information while maintaining low power consumption, making it easier for rescue workers, traffic control authorities, or vehicle owners to track the vehicle's movements and prevent it from being lost. Furthermore, this intermittent transmission method is more power-efficient than continuous transmission, balancing the need for location information updates with energy consumption control, ensuring that location information is effectively transmitted as much as possible within a limited battery life. BRIEF DESCRIPTION OF THE DRAWINGS

[0025] Figure 1 A flowchart of a method for automatically canceling an accident mark provided by the present invention; Figure 2 This is the accident level determination flow chart; Figure 3 Implement a flow chart for the authentication mechanism. DETAILED DESCRIPTION

[0026] The object of the present invention is to provide a method for automatically cancelling an accident mark, which is used to improve the accuracy and efficiency of cancelling the accident mark and save vehicle energy consumption.

[0027] In order to make the above-mentioned objects, features and advantages of the present invention more obvious and easy to understand, specific embodiments of the present invention are described in detail below with reference to the accompanying drawings.

[0028] See also Figure 1-Figure 2The present invention provides a method for automatically canceling an accident mark, which includes the following steps: performing an accident level determination; determining whether to start a power consumption control mode based on the accident level; continuously monitoring the state of the accident vehicle; determining whether to control a global positioning system module to perform displacement sensing based on the state of the accident vehicle; packaging data based on the displacement sensing data result and sending it to the cloud; the cloud receiving the data packet and starting a verification mechanism; and determining whether to perform an accident mark cancellation operation based on the verification result.

[0029] The automatic accident tag cancellation method uses accident level assessment to implement different handling strategies based on the severity of the accident. Combined with whether to activate power consumption control mode, this method ensures effective monitoring while rationally controlling energy consumption and avoiding resource waste. Continuously monitoring the accident vehicle's status and determining whether to control the GPS module for displacement sensing based on this status accurately captures the vehicle's actual movement, providing a reliable basis for subsequent operations. A cloud-based verification mechanism is initiated, and the cancellation of the accident tag is determined based on the results. This automated and intelligent cancellation process reduces manual intervention, improves the efficiency and accuracy of accident handling, and ensures that the accident tag aligns with the vehicle's actual status, avoiding misjudgments or missed calls.

[0030] The execution of accident level determination includes the following steps: setting the acceleration trigger threshold, trigger time, pressure threshold, difference threshold, and suspension displacement threshold; detecting the three-axis acceleration, airbag pressure value, and suspension displacement; if the Z-axis acceleration exceeds the acceleration trigger threshold within the trigger time, it is determined to be a primary accident; if the airbag pressure value exceeds the pressure threshold and the difference between the multiple airbag pressure values ​​measured by the sensor is less than the difference threshold, it is determined to be a valid trigger; if the suspension displacement exceeds the suspension displacement threshold, it is determined to be valid physical deformation evidence; the accident index is calculated based on the maximum value of the three-axis acceleration, the average value of multiple airbag pressure values, and the suspension displacement; and whether the accident is a moderate accident or a severe accident is determined based on the accident index.

[0031] Specifically, in this embodiment, a three-axis accelerometer with a sampling frequency of 100 Hz is used to detect the three-axis acceleration of the vehicle, a dual-channel airbag pressure sensor with a range of 0 to 50 psi is used to detect the airbag pressure value, and a laser suspension displacement monitor with an accuracy of ±0.1 mm is used to detect the suspension displacement.

[0032] In this embodiment, the trigger time is set to 50ms, and the acceleration trigger threshold is set to 5g (here g refers to the acceleration of gravity). That is, if the Z-axis acceleration exceeds the 5g threshold for 50ms, the primary accident judgment is triggered.

[0033] The pressure threshold is set to 30psi and the difference threshold is set to 5%. That is, if the airbag pressure value exceeds 30psi and the difference between the multiple airbag pressure values ​​measured by the sensor is less than 5%, it will be determined to be a valid trigger.

[0034] The suspension displacement threshold is set at 15mm, that is, if the suspension displacement exceeds 15mm, it is judged as valid physical deformation evidence.

[0035] In this embodiment, the accident index is defined as Q; The calculation formula is Q=0.6×G max +0.3×P avg +0.1×D dis ; Among them, G max P is the maximum acceleration detected by the triaxial accelerometer when the vehicle collides; avg is the average value of the airbag pressure value of the dual-channel airbag pressure sensor; D dis is the suspension displacement; the coefficient before the physical quantity represents the weight of the physical quantity in the accident index. For example, the instantaneous acceleration of a vehicle collision can intuitively reflect the impact intensity and is the most direct indicator for judging the severity of the accident, so the weight coefficient is 0.6.

[0036] Based on the above calculation formula, when 6<Q≤8, the accident is determined to be a moderate accident; when Q>8, the accident is determined to be a severe accident.

[0037] In practice, primary accidents do not cause serious damage to the vehicle and are easy to handle. The vehicle can even leave the scene without accident marking or external personnel. However, in moderate accidents, the vehicle often deploys airbags, resulting in changes in airbag pressure and higher triaxial acceleration values ​​than in primary accidents. In these cases, occupants may be unable to continue driving for various reasons or be overwhelmed by the accident, leaving the vehicle immobilized for a period of time. By setting multiple specific thresholds, such as acceleration triggering thresholds and pressure thresholds, the system provides clear quantitative criteria for determining accident severity. Airbag pressure is then combined with the airbag pressure value to determine whether a trigger has occurred, preventing false alarms. In more severe collisions, in addition to triaxial acceleration and airbag data, the vehicle often also experiences a certain degree of suspension deformation. This displacement is also used to determine accident severity. By calculating an accident index to determine whether the accident is moderate or severe, the accuracy of accident severity determination is further improved, providing a scientific basis for subsequent actions such as initiating power consumption control mode, ensuring that treatment measures are commensurate with the severity of the accident.

[0038] Determining whether to start the power consumption control mode based on the accident level includes the following steps: if it is determined to be a moderate accident, starting the power consumption control mode; the power consumption control mode includes: reducing the power consumption of the vehicle positioning unit; reducing the sampling frequency of the inertial measurement unit, setting the vibration detection threshold; and turning off secondary loads.

[0039] Specifically, the power consumption of the vehicle positioning unit is reduced to only maintain the operation of the basic clock circuit; the sampling frequency of the inertial measurement unit is reduced from 100Hz to 10Hz; the vibration detection threshold is set to 0.3g; and secondary loads include the car entertainment system and ambient lighting.

[0040] Reducing the power consumption of the vehicle positioning unit and the sampling frequency of the inertial measurement unit (IMU) reduces energy consumption while ensuring core monitoring functions, extending the vehicle's power supply life after an accident and preventing critical data loss or monitoring interruption due to battery exhaustion. Setting a vibration detection threshold ensures that the IMU can still effectively capture critical vibration signals at a low sampling frequency without affecting subsequent assessments of the vehicle's status. Disabling secondary loads further reduces non-essential energy consumption, focusing limited energy on core monitoring and communication functions, and improving the stability and continuity of system operation during accident handling.

[0041] Determining whether to control the global positioning system module to perform displacement sensing according to the state of the accident vehicle specifically includes the following steps: when the inertial measurement unit detects a vibration feature that is continuous and exceeds the vibration detection threshold, the system controls the global positioning system module to perform displacement sensing.

[0042] Specifically, when the inertial measurement unit detects a vibration characteristic exceeding 0.3g for 200ms, the system controls the global positioning system module to perform displacement sensing.

[0043] The vibration characteristics serve as a precursor signal of possible vehicle displacement. As a condition for triggering the operation of the global positioning system module, it can accurately capture the vehicle's displacement status and ensure that the displacement data is obtained through the global positioning system module in a timely manner when the vehicle is actually moving. This provides an accurate basis for the verification of the subsequent cancellation of the accident mark, ensuring the effectiveness of monitoring and achieving reasonable control of energy consumption.

[0044] Displacement perception specifically includes the following steps: setting a dynamic threshold reference value according to the road type and making dynamic corrections based on environmental parameters; collecting the original coordinate points of the accident vehicle and eliminating multipath effect errors; mapping the vehicle coordinates to the lane centerline through a road projection algorithm; and calculating the surface distance using the half-haversine formula based on the World Geodetic System ellipsoid model.

[0045] Specifically, the sampling rate of the original coordinate points is 1 Hz. A Kalman filter is used to eliminate multipath effect errors. The model used to calculate the surface distance is the WGS84 ellipsoid model.

[0046] In this embodiment, the dynamic threshold baseline value is 30 meters for urban roads, 200 meters for highways, and 15 meters for underground garages. Dynamic correction specifically includes increasing the curvature compensation factor by (100 / R)% when the radius of a curve is less than 100 meters, and applying an attenuation factor of 0.6-0.8 in rainy and snowy weather.

[0047] By setting a dynamic threshold reference value based on the road type and combining it with environmental parameter corrections, the displacement judgment standard is more in line with the actual road conditions, improving the adaptability and accuracy of the threshold. After collecting the original coordinate points, the multipath effect error is eliminated, reducing the interference of factors such as signal reflection on the positioning accuracy, and ensuring the authenticity of the coordinate data. The coordinates are mapped to the lane centerline through the road projection algorithm, so that the representation of the vehicle position is more consistent with the actual road layout, facilitating the accurate judgment of the vehicle's displacement on the road. The semi-haversine formula is used to calculate the surface distance based on the World Geodetic System ellipsoid model, taking into account the characteristics of the earth's curved surface. Compared with plane distance calculation, it is more accurate and can truly reflect the actual displacement of the vehicle, providing a reliable quantitative basis for subsequent data judgment.

[0048] Data packaging is performed based on the displacement sensing data results and sent to the cloud, specifically including: within the set detection window, if the surface distance exceeds the dynamic threshold reference value, data packaging is performed and sent to the cloud.

[0049] The detection window was set to 120 seconds.

[0050] By setting a detection window and using the surface distance exceeding a dynamic threshold as the trigger for data packet transmission, this system avoids invalid data transmission caused by minor vehicle movement, such as minor sway, and reduces cloud-based data processing and communication energy consumption. Data is only transmitted when the vehicle's displacement reaches a certain level, ensuring that the data uploaded to the cloud is meaningful, improving the effectiveness and relevance of data transmission, providing valuable judgment basis for cloud-based verification mechanisms, and optimizing system communication efficiency.

[0051] See also Figure 3 The specific steps of the verification mechanism include: verifying the spatiotemporal continuity of the data; performing collaborative verification of surrounding vehicle trajectories; excluding prohibited parking areas; and writing the hash value of the data into the smart contract.

[0052] Specifically, the spatiotemporal continuity verification is passed when the interval between trajectory coordinate points is less than 2 seconds and the displacement difference is less than 50 meters, and the path curvature change rate does not exceed 5° per meter.

[0053] Collaborative verification of surrounding vehicle trajectories includes querying the V2X vehicle driving records within 300 meters, requiring at least one vehicle to report the same position status change.

[0054] If the verification mechanism fails, a three-level review process will be initiated. The first level will automatically re-verify three times. The second level will use AI to analyze the last 30 seconds of video from the driver monitoring system camera. The third level will involve the traffic management platform for manual review and judgment.

[0055] Verifying the spatiotemporal continuity of data ensures that uploaded displacement data is coherent and reasonable in time and space, avoiding misjudgments due to data anomalies or tampering. Collaborative verification of surrounding vehicle trajectories, through cross-comparison of multi-vehicle data, enhances the credibility of displacement judgments and reduces potential errors in single-vehicle data. Excluding prohibited parking areas prevents abnormal vehicle displacement within prohibited areas from being misjudged as valid movement, improving the rationality of verification. Writing the data hash value into a smart contract and leveraging the immutability of blockchain technology ensures data integrity and security, preventing data tampering during transmission or storage, and ensuring the reliability of verification results, thereby making the accident marking cancellation operation more credible and accurate.

[0056] Determining whether to execute the accident mark cancellation operation based on the verification result includes the following steps: if the verification mechanism passes, the accident mark cancellation operation is executed; the accident mark cancellation operation includes the following steps: updating the road condition information of the navigation platform; synchronizing the traffic control system status, and completing the accident mark cancellation operation.

[0057] Updating the traffic information of the navigation platform specifically involves updating the traffic information of the navigation platform within 500ms through a WebSocket long connection.

[0058] The specific synchronization of traffic control system status is to synchronize the traffic control system status within 3 seconds through the GB / T 26773 standard API gateway.

[0059] Optionally, the cancellation of the accident mark can also include the following steps, which are performed after the status of the traffic management system is synchronized: pushing an MQ message containing a blockchain certificate to the insurance platform to trigger automatic claims; the user end simultaneously receives the relevant prompt of the vehicle voice broadcast that the accident mark has been cancelled, and the owner's APP generates a disposal report containing a track map and an evidence ID, and automatically makes an appointment for 4S shop repair service.

[0060] After verification, the accident marking is removed, ensuring accuracy and preventing inadvertent cancellations that could impact traffic management. Updating the navigation platform's road condition information provides timely feedback to other vehicles on the resolved accident, guiding them to plan their routes and reducing traffic congestion caused by unremoved accident markings. Synchronizing traffic control system status allows authorities to monitor the progress of accident handling in real time, facilitating subsequent traffic diversion and management, and improving the efficiency of collaborative accident handling.

[0061] Before the step of continuously monitoring the status of the accident vehicle, after the step of determining whether to start the power consumption control mode according to the accident level, the method for automatically canceling the accident mark also includes: starting the sleep mode when the vehicle battery voltage is lower than the set threshold. In the sleep mode, the system power consumption only maintains the near-field communication wake-up circuit standby.

[0062] Specifically, the vehicle battery voltage threshold is set to 11.8V.

[0063] Maintaining only the NFC wake-up circuit in standby mode minimizes system power consumption, extends battery life, and prevents the vehicle from completely losing its monitoring and communication capabilities due to battery depletion. The NFC wake-up circuit's standby mode allows the vehicle to be awakened by an external signal even in dormant mode, facilitating subsequent vehicle processing or system reactivation, ensuring basic interactivity even in low-battery conditions.

[0064] In sleep mode, the last known location of the accident vehicle is sent via satellite at regular intervals.

[0065] Preferably, the interval time is 30 minutes.

[0066] During sleep mode, the last known location of the accident vehicle is transmitted via satellite at regular intervals. This provides the vehicle's approximate location to relevant parties continuously while maintaining low power consumption, making it easier for rescue workers, traffic control authorities, or the vehicle owner to track the vehicle's movements and prevent it from being lost. Furthermore, intermittent transmission saves more power than continuous transmission, balancing the need for location information updates with energy consumption control, ensuring the most effective transmission of location information possible within a limited battery life.

[0067] In summary, the present invention can significantly optimize the accuracy and efficiency of canceling accident marks, avoiding unnecessary detours for other vehicles. At the same time, the power consumption of the accident vehicle can be significantly reduced after the accident, extending the battery life. The hash value is incorporated into the smart contract to form an unalterable electronic certificate, which can provide reliable technical support for modern traffic management.

[0068] Although the present invention is disclosed as above, the present invention is not limited thereto. Any person skilled in the art can make various changes and modifications without departing from the spirit and scope of the present invention. Therefore, the scope of protection of the present invention should be based on the scope defined by the claims.

Claims

1. A method for automatically cancelling an accident mark, characterized in that: The method for automatically cancelling an accident mark comprises the following steps: Perform accident level determination; Determining whether to activate the power consumption control mode according to the accident level; Continuously monitor the status of accident vehicles; Determining whether to control the global positioning system module to perform displacement sensing according to the state of the accident vehicle; Packaging the data according to the displacement sensing data results and sending them to the cloud; The cloud receives the data packet and initiates a verification mechanism; Determine whether to cancel the accident mark based on the verification results.

2. The method for automatically canceling an accident mark according to claim 1, characterized in that: The execution of accident level determination includes the following steps: Set acceleration trigger threshold, trigger time, pressure threshold, difference threshold, and suspension displacement threshold; Detect triaxial acceleration, airbag pressure and suspension displacement; If the Z-axis acceleration exceeds the acceleration trigger threshold within the trigger time, it is determined to be a primary accident; If the airbag pressure value exceeds the pressure threshold and the difference between the multiple airbag pressure values ​​measured by the sensor is less than the difference threshold, it is determined to be a valid trigger; If the suspension displacement exceeds the suspension displacement threshold, it is determined to be valid physical deformation evidence; Calculating an accident index based on the maximum value of the three-axis acceleration, the average value of the plurality of airbag pressure values, and the suspension displacement; It is determined whether the accident is a moderate accident or a severe accident based on the accident index.

3. The method for automatically canceling an accident mark according to claim 2, characterized in that: The determining whether to start the power consumption control mode according to the accident level includes the following steps: If it is determined to be a moderate accident, the power consumption control mode is activated; The power consumption control mode includes: Reduce the power consumption of vehicle positioning unit; Reduce the sampling frequency of the inertial measurement unit and set the vibration detection threshold; Turn off secondary loads.

4. The method for automatically canceling an accident mark according to claim 3, characterized in that: The step of determining whether to control the global positioning system module to perform displacement sensing according to the state of the accident vehicle specifically includes the following steps: When the inertial measurement unit detects a vibration feature that is continuous and exceeds the vibration detection threshold, the system controls the global positioning system module to perform displacement sensing.

5. The method for automatically canceling an accident mark according to claim 1, characterized in that: The displacement sensing specifically includes the following steps: Set dynamic threshold benchmark values ​​according to road types and make dynamic corrections based on environmental parameters; Collecting the original coordinates of the accident vehicle and eliminating multipath effect errors; The vehicle coordinates are mapped to the lane centerline using a road projection algorithm; The surface distance is calculated using the haversine formula based on the World Geodetic System ellipsoid model.

6. The method for automatically canceling an accident mark according to claim 5, characterized in that: The executing data packaging and sending to the cloud based on the data result of the displacement perception specifically includes: within the set detection window, if the surface distance exceeds the dynamic threshold reference value, executing data packaging and sending to the cloud.

7. The method for automatically canceling an accident mark according to claim 6, characterized in that: The specific steps of the verification mechanism include: Verifying the spatiotemporal continuity of the data; Perform collaborative verification of surrounding vehicle trajectories; Exclude no-parking zones; Write the hash of said data into the smart contract.

8. The method for automatically canceling an accident mark according to claim 1, characterized in that: The step of determining whether to cancel the accident mark according to the verification result includes the following steps: If the verification mechanism passes, the accident mark cancellation operation is performed; The accident mark cancellation operation includes the following steps: Update navigation platform traffic information; Synchronize the traffic control system status and complete the accident mark cancellation operation.

9. The method for automatically canceling an accident mark according to any one of claims 1 to 8, characterized in that: Before the step of continuously monitoring the status of the accident vehicle and after the step of determining whether to start the power consumption control mode according to the accident level, the method for automatically canceling the accident mark also includes: starting the sleep mode when the vehicle battery voltage is lower than the set threshold, and in the sleep mode, the system power consumption only maintains the near-field communication wake-up circuit standby.

10. The method for automatically canceling an accident mark according to claim 9, characterized in that: In the sleep mode, the last known position of the accident vehicle is sent via satellite at regular intervals.

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