Low-power-consumption automobile loss monitoring system and method for automobile

Abstract

The invention provides a low-power-consumption vehicle loss monitoring system and method used for a new energy vehicle or a fuel oil vehicle, the vehicle is monitored in real time through an abnormity detection module to obtain monitoring state data of the vehicle, and abnormal state information of the vehicle is judged through a central processing module according to the monitoring state data. The abnormal state information is sent to a vehicle owner, abnormal prompting information is sent to the vehicle owner based on the abnormal state information, an active checking port is provided for the vehicle owner so that the vehicle owner can call current active monitoring information of the vehicle, and electric energy is provided for the abnormal detection module and the central processing module through an extra energy storage module. Therefore, after a user parks a vehicle, the external environment is detected through periodic work of the low-power-consumption sensor, the camera is kept in a standby state to reduce the power consumption level, the original continuous work mode of the camera is replaced, the service life of the camera is prolonged, the power consumption is reduced, the energy storage module is a solar rechargeable battery, and the power open source performance is improved while the energy consumption is reduced.

Description

Technical Field

[0001] The present invention relates to the field of automobile auxiliary functions, and more particularly, to a low-power vehicle damage monitoring system and method for an automobile. Background Art

[0002] New energy vehicles have introduced a sentry mode that can monitor the situation around the vehicle in real time. However, the power consumption is high, and 7 to 8 kWh of electricity can be wasted a day. Moreover, since fuel vehicles do not have large-capacity batteries, the real-time monitoring sentry mode cannot be installed, and a clear judgment cannot be made on vehicle damage while parked.

[0003] Therefore, there is an urgent need for a low-power vehicle damage monitoring system and method for automobiles that can operate with low power consumption and can be carried by both fuel vehicles and new energy vehicles. Summary of the Invention

[0004] In view of the above problems, the purpose of the present invention is to provide a low-power vehicle damage monitoring system for automobiles to solve the problem that the sentinel mode of current new energy vehicles in the existing technology can monitor the situation around the vehicle in real time, but the power consumption is high and it cannot be installed on fuel vehicles, and it is impossible to make a clear judgment on the damage to the fuel vehicle when it is parked.

[0005] The present invention provides a low-power vehicle damage monitoring system for an automobile, comprising:

[0006] An anomaly detection module, used to monitor the vehicle in real time to obtain monitoring status data of the vehicle;

[0007] a central processing module, configured to determine abnormal status information of the vehicle based on the monitoring status data, send abnormality prompt information to the vehicle owner based on the abnormal status information, and provide the vehicle owner with an active viewing port to enable the vehicle owner to call the vehicle's current active monitoring information;

[0008] The energy storage module is used to provide electrical energy to the abnormality detection module and the central processing module.

[0009] Preferably, the anomaly detection module includes:

[0010] a vibration and movement detection module, for acquiring vibration data or movement data of the vehicle;

[0011] A suspicious approach detection module is used to obtain distance data of the vehicle or an image of the environment in which the vehicle is located;

[0012] The water immersion risk detection module is used to detect vehicle water immersion and obtain water immersion status data.

[0013] Preferably, the vibration movement detection module includes a vibration sensor, an acceleration sensor, an IMU sensor, and a barometer; wherein,

[0014] The vibration sensor is used to obtain the vibration data;

[0015] The acceleration sensor and the IMU sensor acquire the movement data;

[0016] The barometer is used to measure the air pressure in the interior of the vehicle to obtain an air pressure value.

[0017] Preferably, the central processing module includes a vibration movement detection unit, and the vibration movement detection unit is communicatively connected with the vibration movement detection module;

[0018] The vibration movement detection unit is configured to calculate vibration movement abnormality data based on the vibration data and the movement data, and if the vibration movement abnormality data exceeds a preset first vibration movement abnormality threshold, call the barometer to measure the air pressure in the interior cabin of the vehicle to obtain an air pressure value, and combine the vibration movement abnormality data and the air pressure value to obtain a vibration movement abnormality coefficient;

[0019] The vibration movement abnormality level of the vehicle is determined according to the movement abnormality coefficient. If the vibration movement abnormality level is greater than a preset level prompt threshold, the vibration movement abnormality level corresponding to the movement abnormality coefficient is used as abnormal state information.

[0020] Preferably, the suspicious approach detection module includes a distance sensor and a camera; wherein,

[0021] The distance sensor is used to obtain distance data between various positions of the vehicle and external objects;

[0022] The camera is used to capture the surrounding environment of the vehicle in real time.

[0023] Preferably, the central processing module includes a suspicious approach detection unit, and the suspicious approach detection unit is communicatively connected with the suspicious approach detection module;

[0024] The suspicious approach detection unit is used to obtain the distance data in real time; wherein,

[0025] When the vehicle is in a parked state, if the sudden change difference of the distance data is greater than a preset distance sudden change threshold, the camera is called to perform panoramic shooting to obtain a sudden environment picture;

[0026] The sudden environment picture is analyzed for changes to obtain picture change data. If the picture change data is greater than a preset picture mutation threshold, the sudden environment picture is used as abnormal state information.

[0027] Preferably, the water immersion risk detection module includes a water immersion sensor arranged above the center of the vehicle wheel and an ultrasonic sensor arranged below the vehicle rearview mirror; wherein,

[0028] The water immersion sensor is used to obtain water wading judgment data;

[0029] The ultrasonic sensor is used to obtain a safe distance between a preset position of the vehicle and the water surface.

[0030] Preferably, the central processing module includes a water flooding risk detection unit, and the water flooding risk detection unit is communicatively connected to the water flooding risk detection module;

[0031] The water immersion risk detection unit is used to determine whether there is a deep wading condition based on the wading judgment data; wherein, if the water surface soaks the water immersion sensor, deep wading exists; if the water surface does not soak the water immersion sensor, shallow wading exists or no wading exists;

[0032] If there is shallow wading or no wading, calling the ultrasonic sensor to obtain the safety distance;

[0033] If there is deep wading or shallow wading and the safety distance is lower than a preset safety distance threshold, the deep wading condition or the current safety distance is used as abnormal state information.

[0034] Preferably, the energy storage module is a battery; and

[0035] The storage battery is a solar charging battery.

[0036] On the other hand, the present invention also provides a low-power vehicle damage monitoring method for an automobile, which implements vehicle damage monitoring based on the low-power vehicle damage monitoring system for an automobile as described above, comprising:

[0037] Real-time monitoring of vehicles to obtain monitoring status data of the vehicles;

[0038] The abnormal status information of the vehicle is determined according to the monitoring status data, and abnormal prompt information is sent to the vehicle owner based on the abnormal status information, and an active viewing port is provided for the vehicle owner to enable the vehicle owner to call the current active monitoring information of the vehicle.

[0039] As can be seen from the above technical solutions, the low-power vehicle damage monitoring system and method for automobiles provided by the present invention are used for new energy vehicles or fuel vehicles. The vehicle is monitored in real time by an abnormality detection module to obtain the monitoring status data of the vehicle. The abnormal status information of the vehicle is judged according to the monitoring status data by a central processing module, and abnormal prompt information is sent to the owner based on the abnormal status information. An active viewing port is provided for the owner to enable the owner to call the current active monitoring information of the vehicle. Electric energy is provided to the abnormality detection module and the central processing module through an additional energy storage module. After the user parks the car, the low-power sensor periodically works to detect the external environment, and the camera remains in standby mode to reduce the power consumption level, replacing the original camera's continuous working mode, thereby improving the camera life and reducing power consumption. The energy storage module is a solar rechargeable battery, which improves the open source of electricity while reducing energy consumption. BRIEF DESCRIPTION OF THE DRAWINGS

[0040] By referring to the following description in conjunction with the accompanying drawings, and with a more complete understanding of the present invention, other objects and results of the present invention will become more apparent and easier to understand. In the accompanying drawings:

[0041] Figure 1 Schematic diagram of a low-power vehicle damage monitoring system for an automobile in the prior art;

[0042] Figure 2 is a detailed schematic diagram of a low-power vehicle damage monitoring system for an automobile according to an embodiment of the present invention;

[0043] Figure 3 4 is a flow chart of a low-power vehicle damage monitoring method for an automobile according to an embodiment of the present invention. DETAILED DESCRIPTION

[0044] The sentry mode of current new energy vehicles in existing technologies can monitor the situation around the vehicle in real time, but it has high power consumption and cannot be installed on fuel vehicles, and cannot make a clear judgment on the damage to the fuel vehicle when it is parked.

[0045] In order to solve the above problems, the present invention provides a low-power vehicle damage monitoring system and method for an automobile. The specific embodiments of the present invention will be described in detail below with reference to the accompanying drawings.

[0046] To illustrate the low-power vehicle damage monitoring system for automobiles provided by the present invention, Figure 1-Figure 3 The low-power vehicle damage monitoring system and method for an automobile according to the embodiments of the present invention are exemplarily illustrated.

[0047] The following description of exemplary embodiments is merely illustrative in nature and is in no way intended to limit the present invention, its application, or uses. Techniques and devices known to those skilled in the art may not be discussed in detail, but where appropriate, such techniques and devices should be considered part of the specification.

[0048] like Figure 1 As shown, the low-power vehicle damage monitoring system 100 for a vehicle according to an embodiment of the present invention is used for a new energy vehicle or a fuel vehicle, and includes:

[0049] Anomaly detection module 110, for monitoring the vehicle in real time to obtain monitoring status data of the vehicle;

[0050] a central processing module 120 for determining abnormal status information of the vehicle based on the monitoring status data, sending abnormality prompt information to the vehicle owner based on the abnormal status information, and providing the vehicle owner with an active viewing port to enable the vehicle owner to access the vehicle's current active monitoring information;

[0051] The energy storage module 130 is used to provide power to the abnormality detection module and the central processing module.

[0052] In this embodiment, the anomaly detection module 110 includes:

[0053] A vibration and movement detection module 111 is used to obtain vibration data or movement data of the vehicle;

[0054] The suspicious approach detection module 112 is used to obtain the distance data of the vehicle or the environment image of the vehicle;

[0055] The flood risk detection module 113 is used to perform vehicle flooding detection to obtain flooding status data.

[0056] In a specific embodiment, the vibration movement detection module 111 includes a vibration sensor, an acceleration sensor, an IMU sensor, and a barometer; wherein,

[0057] The vibration sensor is used to obtain the vibration data;

[0058] The acceleration sensor and the IMU sensor acquire the movement data;

[0059] The barometer is used to measure the air pressure in the interior of the vehicle to obtain an air pressure value.

[0060] The central processing module 120 includes a vibration movement detection unit 121, and the vibration movement detection unit 121 is communicatively connected to the vibration movement detection module 111;

[0061] The vibration movement detection unit 121 is configured to calculate vibration movement abnormality data based on the vibration data and the movement data, and if the vibration movement abnormality data exceeds a preset first vibration movement abnormality threshold, call the barometer to measure the air pressure in the interior cabin of the vehicle to obtain an air pressure value, and combine the vibration movement abnormality data and the air pressure value to obtain a vibration movement abnormality coefficient;

[0062] The vibration movement abnormality level of the vehicle is determined according to the movement abnormality coefficient. If the vibration movement abnormality level is greater than a preset level prompt threshold, the vibration movement abnormality level corresponding to the movement abnormality coefficient is used as abnormal state information.

[0063] In a more specific embodiment, Figure 1 、 Figure 2 As shown in the figure, acceleration sensors or vibration sensors are arranged around the vehicle to detect abnormal vibration or movement of the vehicle when it is parked, and a high-precision air pressure sensor (barometer) is arranged inside the vehicle to assist in determining whether the vehicle encounters an abnormal collision during parking, causing a sudden change in air pressure in the passenger compartment. When the vehicle detects conditions such as vehicle vibration, shaking, and collision in the parked state, the vibration movement abnormality level corresponding to the movement abnormality coefficient is used as abnormal state information, and an abnormal prompt information is sent to the owner based on the abnormal state information to remind the owner. In another specific embodiment, the vibration movement abnormality level of the vehicle is determined according to the movement abnormality coefficient. If the vibration movement abnormality level is greater than a preset level prompt threshold, the cameras set up around the vehicle are turned on, and the monitoring screen and the vibration movement abnormality level are used as abnormal state information to allow the user to have a clearer understanding of the current scene of the vehicle.

[0064] In this embodiment, the suspicious approach detection module 112 includes a distance sensor and a camera; wherein,

[0065] The distance sensor is used to obtain distance data between various positions of the vehicle and external objects;

[0066] The camera is used to capture the surrounding environment of the vehicle in real time.

[0067] Correspondingly, the central processing module 120 (MCU processing unit) includes a suspicious approach detection unit 122, and the suspicious approach detection unit 122 is communicatively connected to the suspicious approach detection module 112;

[0068] The suspicious approach detection unit 122 is used to obtain the distance data in real time; wherein,

[0069] When the vehicle is in a parked state, if the sudden change difference of the distance data is greater than a preset distance sudden change threshold, the camera is called to perform panoramic shooting to obtain a sudden environment picture;

[0070] The sudden environment picture is analyzed for changes to obtain picture change data. If the picture change data is greater than a preset picture mutation threshold, the sudden environment picture is used as abnormal state information.

[0071] That is, if a person, car, or object approaches, the distance sensor / infrared sensor will detect a change in distance / infrared radiation and wake up the camera, then record or take pictures of the environment around the car for 10 minutes. The relevant warning information can be sent to the owner's mobile phone through the on-board network as a reminder, and the owner can connect the car camera to view the image. In order to save power consumption, in a specific embodiment, the camera in the direction where the distance sensor detects an environmental change will be woken up.

[0072] In this embodiment, the water immersion risk detection module 113 includes a water immersion sensor disposed above the center of the vehicle wheel and an ultrasonic sensor disposed below the vehicle rearview mirror; wherein,

[0073] The water immersion sensor is used to obtain water wading judgment data;

[0074] The ultrasonic sensor is used to obtain the safe distance between the preset position of the vehicle and the water surface.

[0075] Correspondingly, the central processing module 120 includes a flood risk detection unit 123 , which is in communication with the flood risk detection module 113 ;

[0076] The water immersion risk detection unit 123 is configured to determine whether there is a deep wading condition based on the wading judgment data; wherein, if the water surface submerges the water immersion sensor, deep wading exists; if the water surface does not submerge the water immersion sensor, shallow wading exists or no wading exists;

[0077] If there is shallow wading or no wading, calling the ultrasonic sensor to obtain the safety distance;

[0078] If there is deep wading or shallow wading and the safety distance is lower than a preset safety distance threshold, the deep wading condition or the current safety distance is used as abnormal state information.

[0079] In one specific embodiment, a contact-type water sensor can be placed on the vehicle body above the wheel center to detect any water immersion above the wheel center. If water immersion is present, the deep water wading condition is directly reported to the vehicle owner after slight processing. If water immersion above the wheel center is not present, a second water immersion sensor located below the rearview mirror can use a time-of-flight (TOF) or ultrasonic solution. For example, in this embodiment, an ultrasonic sensor is directly used to detect the safe distance between the rearview mirror (the ultrasonic sensor itself) and the ground / water surface. This can correct for potential misjudgments by contact sensors in rainy and humid conditions, while also detecting situations where water wading is present but the water depth is not high enough to soak the water immersion sensor.

[0080] In addition, if Figure 2 As shown, in this embodiment, an AI microphone is also included. The AI microphone is used to record glass breaking data, cooperate with the barometer to detect the air pressure change when the window is broken, turn on the recording function and wake up the camera. The AI microphone is connected to the sound capture unit 124 of the central processing module 120. When the captured sound is greater than the preset sound threshold, the information about the captured sound is directly integrated into abnormal prompt information as auxiliary information of the abnormal state information and sent to the user end.

[0081] In this embodiment, distance sensors can be set around the vehicle, front, back, left and right. The distance sensors can be vehicle-mounted ultrasonic radars, wide-angle TOFs, or infrared sensors. Cameras can be set around the vehicle to be awakened when the distance sensor detects an abnormal object approaching, or awakened when there is abnormal vibration or abnormal movement. This method only wakes up the camera when something unusual is detected, thereby reducing overall energy consumption. Vibration sensors and acceleration sensors (including IMU sensors) can be set near the chassis of the vehicle body to improve the accuracy of obtaining vibration data or movement data; AI microphones can be set at the front windshield to improve the accuracy of sound reception, water immersion sensors are set at the center of the tires, and ultrasonic sensors used to cooperate with water immersion sensors can be set below the rearview mirror to accurately determine the safe distance; the barometer can be set at any position in the cockpit, as long as it can meet the function of measuring the air pressure in the vehicle cabin.

[0082] In addition, in this embodiment, the energy storage module 130 is a battery; and the battery is a solar rechargeable battery, so that it can open up new energy while reducing energy consumption, improve endurance, and ensure energy replenishment during daily driving or daytime work to further reduce battery consumption.

[0083] In this embodiment, the data transmission between the abnormality detection module 110 and the central processing module 120 is based on Bluetooth or a short-range transmission protocol for short-range transmission (data transmission in the vehicle body), and the central processing module 120 uses long-range transmission when sending abnormality prompt information to the car owner. The specific transmission method is not described here.

[0084] To sum up, the low-power vehicle damage monitoring system for automobiles provided by the present invention can detect the external environment through periodic operation of low-power sensors after the user parks the car, so that the camera remains in standby mode to reduce power consumption, replace the original camera's continuous working mode, increase the camera's lifespan, and reduce power consumption.

[0085] like Figure 3 As shown, the present invention also provides a low-power vehicle damage monitoring method for an automobile, which implements vehicle damage monitoring based on the low-power vehicle damage monitoring system for an automobile as described above, including:

[0086] S1: Real-time monitoring of the vehicle to obtain monitoring status data of the vehicle;

[0087] S2: Determine abnormal status information of the vehicle according to the monitoring status data, send abnormal prompt information to the vehicle owner based on the abnormal status information, and provide the vehicle owner with an active viewing port to enable the vehicle owner to call the vehicle's current active monitoring information.

[0088] The specific detailed steps are not limited here, and reference may be made to the embodiment and usage of the low-power vehicle damage monitoring system for automobiles as described above, which will not be described in detail here.

[0089] As described above, the low-power vehicle damage monitoring method for automobiles provided by the present invention is used for new energy vehicles or fuel vehicles, monitors the vehicle in real time to obtain monitoring status data of the vehicle, determines abnormal status information of the vehicle based on the monitoring status data, and sends abnormal prompt information to the owner based on the abnormal status information, and provides an active viewing port for the owner to enable the owner to call the current active monitoring information of the vehicle, and provides power through an additional energy storage module, so that after the user parks the car, the low-power sensor periodically works to detect the external environment, and the camera remains in standby mode to reduce the power consumption level, replacing the original camera's continuous working mode, thereby increasing the camera life and reducing power consumption, and the energy storage module is a solar rechargeable battery, which improves the open source of power while reducing energy consumption.

[0090] The low-power vehicle damage monitoring system and method for automobiles proposed in accordance with the present invention have been described above by way of example with reference to the accompanying drawings. However, those skilled in the art will appreciate that various modifications may be made to the low-power vehicle damage monitoring system and method for automobiles proposed in accordance with the present invention without departing from the scope of the present invention. Therefore, the scope of protection of the present invention shall be determined by the appended claims.

Claims

1. A low-power vehicle damage monitoring system for automobiles, characterized in that: For new energy vehicles or fuel vehicles, including: An anomaly detection module, used to monitor the vehicle in real time to obtain monitoring status data of the vehicle; a central processing module, configured to determine abnormal status information of the vehicle based on the monitoring status data, send abnormality prompt information to the vehicle owner based on the abnormal status information, and provide the vehicle owner with an active viewing port to enable the vehicle owner to call the vehicle's current active monitoring information; The energy storage module is used to provide electrical energy to the abnormality detection module and the central processing module.

2. The low-power vehicle damage monitoring system for a vehicle according to claim 1, characterized in that: The anomaly detection module includes: a vibration and movement detection module, for acquiring vibration data or movement data of the vehicle; A suspicious approach detection module is used to obtain distance data of the vehicle or an image of the environment in which the vehicle is located; The water immersion risk detection module is used to detect vehicle water immersion and obtain water immersion status data.

3. The low-power vehicle damage monitoring system for a vehicle according to claim 2, characterized in that: The vibration movement detection module includes a vibration sensor, an acceleration sensor, an IMU sensor, and a barometer; wherein, The vibration sensor is used to obtain the vibration data; The acceleration sensor and the IMU sensor acquire the movement data; The barometer is used to measure the air pressure in the interior of the vehicle to obtain an air pressure value.

4. The low-power vehicle damage monitoring system for a vehicle as claimed in claim 3, characterized in that: The central processing module includes a vibration movement detection unit, and the vibration movement detection unit is communicatively connected to the vibration movement detection module; The vibration movement detection unit is configured to calculate vibration movement abnormality data based on the vibration data and the movement data, and if the vibration movement abnormality data exceeds a preset first vibration movement abnormality threshold, call the barometer to measure the air pressure in the interior cabin of the vehicle to obtain an air pressure value, and combine the vibration movement abnormality data and the air pressure value to obtain a vibration movement abnormality coefficient; The vibration movement abnormality level of the vehicle is determined according to the movement abnormality coefficient. If the vibration movement abnormality level is greater than a preset level prompt threshold, the vibration movement abnormality level corresponding to the movement abnormality coefficient is used as abnormal state information.

5. The low-power vehicle damage monitoring system for a vehicle as claimed in claim 2, characterized in that: The suspicious approach detection module includes a distance sensor and a camera; wherein, The distance sensor is used to obtain distance data between various positions of the vehicle and external objects; The camera is used to capture the surrounding environment of the vehicle in real time.

6. The low-power vehicle damage monitoring system for a vehicle as claimed in claim 5, characterized in that: The central processing module includes a suspicious approach detection unit, and the suspicious approach detection unit is communicatively connected with the suspicious approach detection module; The suspicious approach detection unit is used to obtain the distance data in real time; wherein, When the vehicle is in a parked state, if the sudden change difference of the distance data is greater than a preset distance sudden change threshold, the camera is called to perform panoramic shooting to obtain a sudden environment picture; The sudden environment picture is analyzed for changes to obtain picture change data. If the picture change data is greater than a preset picture mutation threshold, the sudden environment picture is used as abnormal state information.

7. The low-power vehicle damage monitoring system for a vehicle as claimed in claim 2, characterized in that: The water immersion risk detection module includes a water immersion sensor arranged above the center of the vehicle wheel and an ultrasonic sensor arranged below the vehicle rearview mirror; wherein, The water immersion sensor is used to obtain water wading judgment data; The ultrasonic sensor is used to obtain a safe distance between a preset position of the vehicle and the water surface.

8. The low-power vehicle damage monitoring system for a vehicle according to claim 7, characterized in that: The central processing module includes a water flooding risk detection unit, and the water flooding risk detection unit is communicatively connected to the water flooding risk detection module; The water immersion risk detection unit is used to determine whether there is a deep wading condition based on the wading judgment data; wherein, if the water surface soaks the water immersion sensor, deep wading exists; if the water surface does not soak the water immersion sensor, shallow wading exists or no wading exists; If there is shallow wading or no wading, calling the ultrasonic sensor to obtain the safety distance; If there is deep wading or shallow wading and the safety distance is lower than a preset safety distance threshold, the deep wading condition or the current safety distance is used as abnormal state information.

9. The low-power vehicle damage monitoring system for a vehicle according to claim 1, characterized in that: The energy storage module is a battery; and The storage battery is a solar charging battery.

10. A low-power vehicle damage monitoring method for a vehicle, characterized in that: Vehicle damage monitoring is implemented based on the low-power vehicle damage monitoring system for a vehicle according to any one of claims 1 to 9, comprising: Real-time monitoring of vehicles to obtain monitoring status data of the vehicles; The abnormal status information of the vehicle is determined according to the monitoring status data, and abnormal prompt information is sent to the vehicle owner based on the abnormal status information, and an active viewing port is provided for the vehicle owner to enable the vehicle owner to call the current active monitoring information of the vehicle.

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