CN110675606A - Electric vehicle alarm method and device, electric vehicle and storage medium - Google Patents

Electric vehicle alarm method and device, electric vehicle and storage medium Download PDF

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Publication number
CN110675606A
CN110675606A CN201910880184.8A CN201910880184A CN110675606A CN 110675606 A CN110675606 A CN 110675606A CN 201910880184 A CN201910880184 A CN 201910880184A CN 110675606 A CN110675606 A CN 110675606A
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China
Prior art keywords
electric vehicle
alarm
vehicle
target electric
current
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CN201910880184.8A
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Chinese (zh)
Inventor
李超超
张瑛
钱建安
江涛
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Wuhan Xiao An Technology Co Ltd
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Wuhan Xiao An Technology Co Ltd
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Priority to CN201910880184.8A priority Critical patent/CN110675606A/en
Publication of CN110675606A publication Critical patent/CN110675606A/en
Pending legal-status Critical Current

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    • GPHYSICS
    • G08SIGNALLING
    • G08BSIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
    • G08B25/00Alarm systems in which the location of the alarm condition is signalled to a central station, e.g. fire or police telegraphic systems
    • G08B25/01Alarm systems in which the location of the alarm condition is signalled to a central station, e.g. fire or police telegraphic systems characterised by the transmission medium
    • G08B25/10Alarm systems in which the location of the alarm condition is signalled to a central station, e.g. fire or police telegraphic systems characterised by the transmission medium using wireless transmission systems
    • GPHYSICS
    • G07CHECKING-DEVICES
    • G07CTIME OR ATTENDANCE REGISTERS; REGISTERING OR INDICATING THE WORKING OF MACHINES; GENERATING RANDOM NUMBERS; VOTING OR LOTTERY APPARATUS; ARRANGEMENTS, SYSTEMS OR APPARATUS FOR CHECKING NOT PROVIDED FOR ELSEWHERE
    • G07C5/00Registering or indicating the working of vehicles
    • G07C5/08Registering or indicating performance data other than driving, working, idle, or waiting time, with or without registering driving, working, idle or waiting time
    • GPHYSICS
    • G08SIGNALLING
    • G08BSIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
    • G08B21/00Alarms responsive to a single specified undesired or abnormal condition and not otherwise provided for
    • G08B21/02Alarms for ensuring the safety of persons

Abstract

The invention discloses an electric vehicle alarm method, an electric vehicle alarm device, an electric vehicle and a storage medium, wherein the running state of a target electric vehicle is determined according to the current vehicle condition by acquiring the current vehicle condition and the current geographic position of the target electric vehicle; when the running state is abnormal running, sending a power-on instruction to the target electric vehicle so as to enable the target electric vehicle to be powered on as an alarm key, wherein the alarm key is arranged on the target electric vehicle; when a triggering instruction of an alarm key sent by the target electric vehicle is received, alarm information is generated according to the current geographic position and alarm is carried out based on the alarm information, so that quick alarm and help seeking can be realized when the mobile terminal cannot be used, and the life safety of a driver is guaranteed.

Description

Electric vehicle alarm method and device, electric vehicle and storage medium
Technical Field
The invention relates to the field of intelligent traffic, in particular to an electric vehicle alarm method and device, an electric vehicle and a storage medium.
Background
Along with the popularization of electric vehicles, the running safety of the electric vehicle is more and more important, traffic accidents or accidental injuries are sent in the process of riding the electric vehicle by a driver, and the driver can only rely on the help of surrounding people when the driver can not give an alarm for help through a mobile terminal, particularly in some remote places, the driver does not have other modes to request for help, so that the life safety of the driver can not be guaranteed; therefore, an electric vehicle alarm method is urgently needed to alarm and ask for help quickly and guarantee the life safety of a driver.
Disclosure of Invention
The invention mainly aims to provide an electric vehicle alarm method, an electric vehicle alarm device, an electric vehicle and a storage medium, and aims to solve the technical problems that in the prior art, when a traffic accident or an accidental injury occurs, a mobile terminal cannot be used for quickly alarming for help, and the life safety of a driver is guaranteed.
In order to achieve the above object, the present invention provides an electric vehicle alarm method, which comprises the following steps:
acquiring the current vehicle condition and the current geographic position of a target electric vehicle, and determining the running state of the target electric vehicle according to the current vehicle condition;
when the running state is abnormal running, sending a power-on instruction to the target electric vehicle so as to enable the target electric vehicle to be powered on as an alarm key, wherein the alarm key is arranged on the target electric vehicle;
and when a triggering instruction of an alarm key sent by the target electric vehicle is received, generating alarm information according to the current geographic position, and giving an alarm based on the alarm information.
Preferably, the obtaining of the current vehicle condition and the current geographic location of the target electric vehicle and the determining of the driving state of the target electric vehicle according to the current vehicle condition specifically include:
acquiring the current geographic position, vehicle body collision data, dumping data and wheel idle data of a target electric vehicle;
determining the current vehicle condition of the target electric vehicle according to the vehicle body collision data;
or the like, or, alternatively,
determining the current vehicle condition of the target electric vehicle according to the dumping data;
or the like, or, alternatively,
determining the current vehicle condition of the target electric vehicle according to the wheel-spinning data;
or the like, or, alternatively,
determining the current vehicle condition of the target electric vehicle according to the vehicle body collision data, the dumping data and the wheel idle data;
and when the current vehicle condition is a dangerous vehicle condition, judging that the running state of the target electric vehicle is abnormal running.
Preferably, the determining the current vehicle condition of the target electric vehicle according to the vehicle body collision data specifically includes:
determining the damage degree of the vehicle body corresponding to the vehicle body collision data according to a preset collision degree mapping table;
comparing the damage degree of the vehicle body with a preset collision threshold value to generate a first comparison result;
and when the first comparison result shows that the damage degree of the vehicle body is greater than or equal to the preset collision threshold value, determining that the current vehicle condition of the target electric vehicle is a dangerous vehicle condition.
Preferably, the determining the current vehicle condition of the target electric vehicle according to the dumping data specifically includes:
determining a pouring angle corresponding to the pouring data according to a preset pouring degree mapping table;
comparing the pouring angle with a preset pouring angle to generate a second comparison result;
and when the second comparison result is that the inclination angle is greater than or equal to the preset inclination angle, determining that the current vehicle condition of the target electric vehicle is a dangerous vehicle condition.
Preferably, the determining the current vehicle condition of the target electric vehicle according to the wheel-spinning data specifically includes:
determining the corresponding idle degree of the wheel idle data according to a preset wheel idle degree mapping table;
comparing the idling degree with a preset idling threshold value to generate a third comparison result;
and when the third comparison result shows that the idling degree is greater than or equal to the preset idling threshold, determining that the current vehicle condition of the target electric vehicle is a dangerous vehicle condition.
Preferably, the determining the current vehicle condition of the target electric vehicle according to the body collision data, the dump data and the wheel-spinning data specifically includes:
substituting the vehicle body collision data, the dumping data and the wheel idle running data into a preset vehicle condition analysis model to obtain a corresponding collision value, a dumping value and an idle running value;
calculating a comprehensive vehicle condition value of the collision value, the dumping value and the idle rotation value according to a preset weight proportion;
and finding out a target vehicle condition corresponding to the comprehensive vehicle condition value according to a preset vehicle condition evaluation table, and taking the target vehicle condition as the current vehicle condition of the target electric vehicle.
Preferably, when a triggering instruction of an alarm key sent by the target electric vehicle is received, alarm information is generated according to the current geographic position, and before an alarm is given based on the alarm information, the electric vehicle alarm method further includes:
carrying out self-inspection on the target electric vehicle body accessories and generating a self-inspection result;
and when the analysis result shows that the alarm key of the target electric vehicle is damaged, generating alarm information according to the current geographic position, and giving an alarm based on the alarm information.
In addition, to achieve the above object, the present invention also provides an electric vehicle including: the electric vehicle alarm system comprises an electric vehicle body, a memory, a processor and an electric vehicle alarm program stored on the memory and capable of running on the processor, wherein the electric vehicle alarm program is configured to realize the steps of the electric vehicle alarm method.
In addition, to achieve the above object, the present invention further provides a storage medium having an electric vehicle alarm program stored thereon, which when executed by a processor implements the steps of the electric vehicle alarm method as described above.
In addition, in order to achieve the above object, the present invention also provides an electric vehicle alarm device, including:
the state determination module is used for acquiring the current vehicle condition and the current geographic position of the target electric vehicle and determining the running state of the target electric vehicle according to the current vehicle condition;
the starting module is used for sending a power-on instruction to the target electric vehicle when the running state is abnormal running so as to enable the target electric vehicle to be powered on as an alarm key, and the alarm key is arranged on the target electric vehicle;
and the alarm module is used for generating alarm information according to the current geographic position and giving an alarm based on the alarm information when receiving a trigger instruction of an alarm key sent by the target electric vehicle.
The electric vehicle alarming method provided by the invention determines the running state of a target electric vehicle according to the current vehicle condition by acquiring the current vehicle condition and the current geographic position of the target electric vehicle; when the running state is abnormal running, sending a power-on instruction to the target electric vehicle so as to enable the target electric vehicle to be powered on as an alarm key, wherein the alarm key is arranged on the target electric vehicle; when a triggering instruction of an alarm key sent by the target electric vehicle is received, alarm information is generated according to the current geographic position and alarm is carried out based on the alarm information, so that quick alarm and help seeking can be realized when the mobile terminal cannot be used, and the life safety of a driver is guaranteed.
Drawings
FIG. 1 is a schematic structural diagram of an electric vehicle in a hardware operating environment according to an embodiment of the present invention;
FIG. 2 is a schematic flow chart of a first embodiment of the alarming method of the electric vehicle according to the invention;
FIG. 3 is a schematic flow chart of a second embodiment of the alarming method of the electric vehicle according to the invention;
FIG. 4 is a schematic flow chart of a third embodiment of the electric vehicle warning method of the present invention;
fig. 5 is a functional block diagram of the alarm device for an electric vehicle according to the first embodiment of the present invention.
The implementation, functional features and advantages of the objects of the present invention will be further explained with reference to the accompanying drawings.
Detailed Description
It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
The solution of the embodiment of the invention is mainly as follows: the method comprises the steps of determining the running state of a target electric vehicle according to the current vehicle condition by acquiring the current vehicle condition and the current geographic position of the target electric vehicle; when the running state is abnormal running, sending a power-on instruction to the target electric vehicle so as to enable the target electric vehicle to be powered on as an alarm key, wherein the alarm key is arranged on the target electric vehicle; when a triggering instruction of an alarm key sent by the target electric vehicle is received, alarm information is generated according to the current geographic position and is used for alarming based on the alarm information, so that quick alarming and help seeking can be realized when the mobile terminal cannot be used, the life safety of a driver is guaranteed, and the technical problems that in the prior art, when a traffic accident or an accidental injury occurs, quick alarming and help seeking through the mobile terminal cannot be realized, and the life safety of the driver is guaranteed are solved.
Referring to fig. 1, fig. 1 is a schematic structural diagram of an electric vehicle in a hardware operating environment according to an embodiment of the present invention.
As shown in fig. 1, the electric vehicle may include: the electric vehicle body, the processor 1001, such as a Central Processing Unit (CPU), the communication bus 1002, the user interface 1003, the network interface 1004, and the memory 1005. Wherein a communication bus 1002 is used to enable connective communication between these components. The user interface 1003 may include a standard wired interface, a wireless interface. The network interface 1004 may optionally include a standard wired interface, a Wireless interface (e.g., a Wireless-Fidelity (Wi-Fi) interface). The Memory 1005 may be a Random Access Memory (RAM) Memory or a Non-volatile Memory (NVM), such as a disk Memory. The memory 1005 may alternatively be a storage device separate from the processor 1001; the processor 1001, the communication bus 1002, the user interface 1003, the network interface 1004, and the memory 1005 may be disposed inside the electric vehicle body or disposed outside the electric vehicle body, which is not limited in this embodiment.
Those skilled in the art will appreciate that the electric vehicle configuration shown in fig. 1 is not intended to be limiting and may include more or fewer components than those shown, or some components may be combined, or a different arrangement of components.
As shown in fig. 1, a memory 1005 as a storage medium may include an operating system, a network communication module, a user side interface module, and an electric vehicle alarm program.
The electric vehicle of the present invention calls the electric vehicle alarm program stored in the memory 1005 through the processor 1001, and performs the following operations:
acquiring the current vehicle condition and the current geographic position of a target electric vehicle, and determining the running state of the target electric vehicle according to the current vehicle condition;
when the running state is abnormal running, sending a power-on instruction to the target electric vehicle so as to enable the target electric vehicle to be powered on as an alarm key, wherein the alarm key is arranged on the target electric vehicle;
and when a triggering instruction of an alarm key sent by the target electric vehicle is received, generating alarm information according to the current geographic position, and giving an alarm based on the alarm information.
Further, the processor 1001 may call the electric vehicle alarm program stored in the memory 1005, and further perform the following operations:
acquiring the current geographic position, vehicle body collision data, dumping data and wheel idle data of a target electric vehicle;
determining the current vehicle condition of the target electric vehicle according to the vehicle body collision data;
or the like, or, alternatively,
determining the current vehicle condition of the target electric vehicle according to the dumping data;
or the like, or, alternatively,
determining the current vehicle condition of the target electric vehicle according to the wheel-spinning data;
or the like, or, alternatively,
determining the current vehicle condition of the target electric vehicle according to the vehicle body collision data, the dumping data and the wheel idle data;
and when the current vehicle condition is a dangerous vehicle condition, judging that the running state of the target electric vehicle is abnormal running.
Further, the processor 1001 may call the electric vehicle alarm program stored in the memory 1005, and further perform the following operations:
determining the damage degree of the vehicle body corresponding to the vehicle body collision data according to a preset collision degree mapping table;
comparing the damage degree of the vehicle body with a preset collision threshold value to generate a first comparison result;
and when the first comparison result shows that the damage degree of the vehicle body is greater than or equal to the preset collision threshold value, determining that the current vehicle condition of the target electric vehicle is a dangerous vehicle condition.
Further, the processor 1001 may call the electric vehicle alarm program stored in the memory 1005, and further perform the following operations:
determining a pouring angle corresponding to the pouring data according to a preset pouring degree mapping table;
comparing the pouring angle with a preset pouring angle to generate a second comparison result;
and when the second comparison result is that the inclination angle is greater than or equal to the preset inclination angle, determining that the current vehicle condition of the target electric vehicle is a dangerous vehicle condition.
Further, the processor 1001 may call the electric vehicle alarm program stored in the memory 1005, and further perform the following operations:
determining the corresponding idle degree of the wheel idle data according to a preset wheel idle degree mapping table;
comparing the idling degree with a preset idling threshold value to generate a third comparison result;
and when the third comparison result shows that the idling degree is greater than or equal to the preset idling threshold, determining that the current vehicle condition of the target electric vehicle is a dangerous vehicle condition.
Further, the processor 1001 may call the electric vehicle alarm program stored in the memory 1005, and further perform the following operations:
substituting the vehicle body collision data, the dumping data and the wheel idle running data into a preset vehicle condition analysis model to obtain a corresponding collision value, a dumping value and an idle running value;
calculating a comprehensive vehicle condition value of the collision value, the dumping value and the idle rotation value according to a preset weight proportion;
and finding out a target vehicle condition corresponding to the comprehensive vehicle condition value according to a preset vehicle condition evaluation table, and taking the target vehicle condition as the current vehicle condition of the target electric vehicle.
Further, the processor 1001 may call the electric vehicle alarm program stored in the memory 1005, and further perform the following operations:
carrying out self-inspection on the target electric vehicle body accessories and generating a self-inspection result;
and when the analysis result shows that the alarm key of the target electric vehicle is damaged, generating alarm information according to the current geographic position, and giving an alarm based on the alarm information.
According to the scheme, the driving state of the target electric vehicle is determined according to the current vehicle condition by acquiring the current vehicle condition and the current geographic position of the target electric vehicle; when the running state is abnormal running, sending a power-on instruction to the target electric vehicle so as to enable the target electric vehicle to be powered on as an alarm key, wherein the alarm key is arranged on the target electric vehicle; when a triggering instruction of an alarm key sent by the target electric vehicle is received, alarm information is generated according to the current geographic position and alarm is carried out based on the alarm information, so that quick alarm and help seeking can be realized when the mobile terminal cannot be used, and the life safety of a driver is guaranteed.
Based on the hardware structure, the embodiment of the electric vehicle alarm method is provided.
Referring to fig. 2, fig. 2 is a flowchart illustrating an electric vehicle alarm method according to a first embodiment of the present invention.
In a first embodiment, the electric vehicle warning method includes the steps of:
and step S10, acquiring the current vehicle condition and the current geographic position of the target electric vehicle, and determining the running state of the target electric vehicle according to the current vehicle condition.
It should be noted that the current vehicle condition of the target electric vehicle reflects the current electric vehicle condition of the target electric vehicle, including but not limited to a vehicle body damage condition, an electric vehicle braking condition, an electric vehicle sliding condition, and the like, the current geographic position reflects the geographic coordinate position of the target electric vehicle in a relatively stationary state, and the driving state of the target electric vehicle can be determined according to the current vehicle condition; the driving state may be a driving abnormality or a driving abnormality, or of course, may be another driving state, which is not limited in this embodiment.
It can be understood that the current geographic location may be generally determined by data collected by a Global Positioning System (GPS), may also be determined by a road camera in combination with an electric vehicle management and control center, may also be determined by a driving track collected by a gyroscope in combination with the GPS, and certainly may also be determined by other manners, which is not limited in this embodiment.
And step S20, when the driving state is abnormal driving, sending a power-on instruction to the target electric vehicle so as to enable the target electric vehicle to be powered on as an alarm key, wherein the alarm key is arranged on the target electric vehicle.
It can be understood that, when the driving state is abnormal driving, a power-on instruction is sent to the target electric vehicle, so that the target electric vehicle is powered on by an alarm key, and an alarm function of the target electric vehicle is activated, the alarm key is arranged on the target electric vehicle, and the alarm key may be arranged at the front part of the target electric vehicle, or at the tail part, or at the side surface or the middle part, which is not limited in this embodiment.
And S30, when a triggering instruction of an alarm key sent by the target electric vehicle is received, generating alarm information according to the current geographic position, and giving an alarm based on the alarm information.
It should be understood that the trigger instruction may be a trigger instruction generated according to the target electric vehicle according to the trigger state of the alarm key, and is used to start the alarm function of the target electric vehicle, and the trigger instruction may also be a trigger instruction generated when a preset trigger condition is triggered, and may also be a trigger instruction directly received from the outside, and of course, may also be a trigger instruction generated in other manners, which is not limited in this embodiment.
It can be understood that after receiving a key triggering instruction, a corresponding alarm message may be generated according to the current geographic location to alarm, where the alarm message may be sent to a mobile terminal of an emergency contact by editing related distress information including the alarm message, or may be sent to a telephone of the emergency contact by directly dialing the telephone of the emergency contact, where the emergency contact is an emergency contact preset in a target electric vehicle by a user, and the telephone of the emergency contact may be a mobile phone number of the emergency contact, a fixed phone, numbers of public alarm phones 110 and 120, and the like, or may be a contact phone in other forms, which is not limited in this embodiment; when there are a plurality of emergency contacts, the emergency contacts may be sequentially contacted according to a preset priority order, and the alarm mode may also be a network communication account generating voice prompt information according to the alarm information and sending the voice prompt information to the emergency contacts, or may also be other alarm modes, which is not limited in this embodiment.
According to the scheme, the driving state of the target electric vehicle is determined according to the current vehicle condition by acquiring the current vehicle condition and the current geographic position of the target electric vehicle; when the running state is abnormal running, sending a power-on instruction to the target electric vehicle so as to enable the target electric vehicle to be powered on as an alarm key, wherein the alarm key is arranged on the target electric vehicle; when a triggering instruction of an alarm key sent by the target electric vehicle is received, alarm information is generated according to the current geographic position and alarm is carried out based on the alarm information, so that quick alarm and help seeking can be realized when the mobile terminal cannot be used, and the life safety of a driver is guaranteed.
Further, fig. 3 is a flowchart illustrating a second embodiment of the electric vehicle alarm method according to the present invention, and as shown in fig. 3, the second embodiment of the electric vehicle alarm method according to the present invention is proposed based on the first embodiment, in this embodiment, the step S10 specifically includes the following steps:
and step S11, acquiring the current geographic position, the vehicle body collision data, the dumping data and the wheel idle data of the target electric vehicle.
It should be noted that the current geographic position is the current geographic coordinate position of the target electric vehicle, and the vehicle body collision data is data reflecting the collision degree of the target electric vehicle; the vehicle body collision data can be obtained according to a single or a plurality of combinations of sensors such as a pressure-sensitive sensor, a force-sensitive sensor, an acceleration sensor, a speed sensor and a vibration sensor arranged on the target electric vehicle, and can also be obtained in other manners, which is not limited in this embodiment; the toppling data is data reflecting a toppling degree of the target electric vehicle, and the toppling data may be obtained according to a sensor such as an angle sensor or a gyroscope provided in the target electric vehicle, which is not limited in this embodiment; the wheel-spinning data may be obtained from sensors such as a speed sensor and an acceleration sensor provided in the target electric vehicle, but may also be obtained in other manners, which is not limited in this embodiment.
And step S12, determining the current vehicle condition of the target electric vehicle according to the vehicle body collision data.
It should be appreciated that by analyzing the body impact data, the current vehicle condition of the target electric vehicle may be determined.
Further, the step S12 specifically includes the following steps:
determining the damage degree of the vehicle body corresponding to the vehicle body collision data according to a preset collision degree mapping table;
comparing the damage degree of the vehicle body with a preset collision threshold value to generate a first comparison result;
and when the first comparison result shows that the damage degree of the vehicle body is greater than or equal to the preset collision threshold value, determining that the current vehicle condition of the target electric vehicle is a dangerous vehicle condition.
It should be noted that the preset collision degree mapping table is a preset mapping table used for reflecting collision data and vehicle body damage degree, and the collision degree mapping table may be obtained through training of a large amount of experimental data, may be determined according to daily operation experience of a technician, or may be determined in other manners, which is not limited in this embodiment; the preset collision threshold is a preset collision value used for measuring the collision degree of the electric vehicle, and the preset collision threshold may be a numerical value corresponding to the collision grade, a percentage of the damaged area of the vehicle body, or other types of numerical values, which is not limited in this embodiment.
In a specific implementation, the specific degree of damage of the vehicle body can be determined by comparing the degree of damage of the vehicle body with a preset collision threshold, when the first comparison result is that the degree of damage of the vehicle body is greater than or equal to the preset collision threshold, the current vehicle condition of the target electric vehicle is determined to be a dangerous vehicle condition, and when the first comparison result is that the degree of damage of the vehicle body is less than the preset collision threshold, the current vehicle condition is a normal vehicle condition; when the vehicle body damage degree is greater than or equal to the preset collision threshold, different vehicle body damage degrees correspond to different dangerous vehicle conditions, for example, when the preset collision threshold is 50%, a dangerous vehicle condition corresponding to 55% of the vehicle body damage degree is a general dangerous vehicle condition, a dangerous vehicle condition corresponding to 70% of the vehicle body damage degree is a serious dangerous vehicle condition, and a dangerous vehicle condition corresponding to 80% of the vehicle body damage degree is a serious dangerous vehicle condition, and certainly, other vehicle body damage degrees may be set to correspond to other types of vehicle conditions, or different vehicle conditions are determined by dividing collision grades, which is not limited in this embodiment.
And step S13, determining the current vehicle condition of the target electric vehicle according to the dumping data.
It is understood that by analyzing the dump data, the current vehicle condition of the target electric vehicle can be determined.
Further, the step S13 specifically includes the following steps:
determining a pouring angle corresponding to the pouring data according to a preset pouring degree mapping table;
comparing the pouring angle with a preset pouring angle to generate a second comparison result;
and when the second comparison result is that the inclination angle is greater than or equal to the preset inclination angle, determining that the current vehicle condition of the target electric vehicle is a dangerous vehicle condition.
It should be noted that the preset pouring degree mapping table is a preset mapping table used for reflecting pouring data and a pouring angle, and the pouring degree mapping table may be obtained through training of a large amount of experimental data, may be determined according to daily operation experience of a technician, or may be determined in other manners, which is not limited in this embodiment; the preset pouring angle is a preset angle for measuring the pouring degree of the electric vehicle.
In a specific implementation, the rollover degree of the target electric vehicle can be determined by comparing the inclination angle with a preset inclination angle, when the first comparison result is that the inclination angle is greater than or equal to the preset inclination angle, the current vehicle condition of the target electric vehicle is determined to be a dangerous vehicle condition, and when the first comparison result is that the inclination angle is smaller than the preset angle, the current vehicle condition is a normal vehicle condition; when the inclination angle is greater than or equal to the preset inclination angle, different inclination angles correspond to different dangerous vehicle conditions, for example, when the preset inclination angle is 30 degrees, a dangerous vehicle condition corresponding to an inclination angle of 40 degrees is a general dangerous vehicle condition, a dangerous vehicle condition corresponding to an inclination angle of 60 degrees is a serious dangerous vehicle condition, and a dangerous vehicle condition corresponding to an inclination angle of 80 degrees is a very serious dangerous vehicle condition.
And step S14, determining the current vehicle condition of the target electric vehicle according to the wheel-spinning data.
It should be appreciated that by analyzing the wheel-spinning data, the current vehicle condition of the target electric vehicle may be determined.
Further, the step S14 specifically includes the following steps:
determining the corresponding idle degree of the wheel idle data according to a preset wheel idle degree mapping table;
comparing the idling degree with a preset idling threshold value to generate a third comparison result;
and when the third comparison result shows that the idling degree is greater than or equal to the preset idling threshold, determining that the current vehicle condition of the target electric vehicle is a dangerous vehicle condition.
It should be noted that the preset idling degree mapping table is a preset mapping table used for reflecting idling data and idling degree, the idling degree mapping table may be obtained through training of a large amount of experimental data, may be determined according to daily operation experience of a technician, or may be determined in other manners, which is not limited in this embodiment; the preset idling threshold value is a preset ratio used for measuring the idling degree of the electric vehicle.
In a specific implementation, the wheel idling degree of the target electric vehicle, namely the rollover degree, can be determined by comparing the idling degree with a preset idling threshold, when the first comparison result is that the idling degree is greater than or equal to the preset idling threshold, the current vehicle condition of the target electric vehicle is determined to be a dangerous vehicle condition, and when the first comparison result is that the idling degree is less than the preset idling threshold, the current vehicle condition is a normal vehicle condition; when the idling degree is greater than or equal to the preset idling threshold, different idling degrees correspond to different dangerous vehicle conditions, for example, when the preset idling threshold is an idling duration of 5 seconds, a dangerous vehicle condition corresponding to an idling degree of 6 seconds is a general dangerous vehicle condition, a dangerous vehicle condition corresponding to an idling degree of 7 seconds is a serious dangerous vehicle condition, and a dangerous vehicle condition corresponding to an idling degree of 8 seconds is a very serious dangerous vehicle condition, it is needless to say that other idling degrees may be set, for example, the wheel speed corresponds to other types of vehicle conditions, or different vehicle conditions are determined by dividing the idling level, which is not limited in this embodiment.
And step S15, determining the current vehicle condition of the target electric vehicle according to the vehicle body collision data, the dumping data and the wheel idle data.
It is understood that the current vehicle condition of the target electric vehicle can be determined by analyzing in combination with the body collision data, the dump data, and the wheel-spinning data.
Further, the step S15 specifically includes the following steps:
substituting the vehicle body collision data, the dumping data and the wheel idle running data into a preset vehicle condition analysis model to obtain a corresponding collision value, a dumping value and an idle running value;
calculating a comprehensive vehicle condition value of the collision value, the dumping value and the idle rotation value according to a preset weight proportion;
and finding out a target vehicle condition corresponding to the comprehensive vehicle condition value according to a preset vehicle condition evaluation table, and taking the target vehicle condition as the current vehicle condition of the target electric vehicle.
It should be understood that the preset vehicle condition analysis model is a preset model for analyzing vehicle conditions corresponding to electric vehicle data such as the vehicle body collision data, the dump data, and the wheel spin data, by substituting the vehicle body collision data, the dump data, and the wheel spin data into the preset vehicle condition analysis model, a corresponding collision value, a dump value, and a spin value can be obtained, the collision value corresponds to a collision degree of a target electric vehicle, the dump value corresponds to a dump degree of the target electric vehicle, the spin value corresponds to a wheel spin degree of the target electric vehicle, the preset weight ratio is a preset weight for calculating a comprehensive vehicle condition value, the comprehensive vehicle condition value is a numerical value reflecting a current vehicle condition of the target electric vehicle, the comprehensive vehicle condition value corresponding to the collision value, the dump value, and the spin value is calculated according to the preset weight ratio, the comprehensive vehicle condition value may be a sum of the collision value, the toppling value, and the idle value, may also be an average of the sums of the collision value, the toppling value, and the idle value, and may also be another way of calculating the comprehensive vehicle condition value of the collision value, the toppling value, and the idle value according to a preset weight ratio, which is not limited in this embodiment.
It is understood that the preset vehicle condition evaluation table is a preset information table for obtaining the vehicle condition corresponding to the vehicle condition value, and the target vehicle condition corresponding to the comprehensive vehicle condition value, i.e. the current vehicle condition, is found through the preset vehicle condition evaluation table.
And step S16, determining that the driving state of the target electric vehicle is abnormal when the current vehicle condition is a dangerous vehicle condition.
It should be understood that when the current vehicle condition is detected as a dangerous vehicle condition, the driving state of the target electric vehicle may be determined as a driving abnormality.
According to the scheme, the current geographic position, the vehicle body collision data, the dumping data and the wheel idle rotation data of the target electric vehicle are obtained; determining the current vehicle condition of the target electric vehicle according to the vehicle body collision data; or determining the current vehicle condition of the target electric vehicle according to the dumping data; or, determining the current vehicle condition of the target electric vehicle according to the wheel-spinning data; or determining the current vehicle condition of the target electric vehicle according to the vehicle body collision data, the dumping data and the wheel idle data; when the current vehicle condition is a dangerous vehicle condition, the driving state of the target electric vehicle is judged to be abnormal, the current vehicle condition of the target electric vehicle can be determined through various data, the accuracy of vehicle condition judgment is improved, the speed and the efficiency of alarming and seeking help are further increased, quick alarming and seeking help are realized when the mobile terminal cannot be used, and the life safety of a driver is guaranteed.
Further, fig. 4 is a flowchart illustrating a third embodiment of the electric vehicle alarm method according to the present invention, and as shown in fig. 4, the third embodiment of the electric vehicle alarm method according to the present invention is proposed based on the second embodiment, in this embodiment, before the step S30, the electric vehicle alarm method further includes the following steps:
and S301, carrying out self-inspection on the body accessories of the target electric vehicle, and generating a self-inspection result.
It should be noted that, the self-inspection of the body accessories of the target electric vehicle is performed, that is, whether all the accessories of the body of the target electric vehicle are complete or not and whether the accessories are damaged in the accident process is determined in an instruction feedback mode, and through the self-inspection of the body accessories of the target electric vehicle, a corresponding self-inspection result can be generated, so that a judgment basis is provided for subsequent alarm.
And S302, when the analysis result shows that the alarm key of the target electric vehicle is damaged, generating alarm information according to the current geographic position, and giving an alarm based on the alarm information.
It can be understood that when the analysis result is that the alarm key of the target electric vehicle is damaged, the user cannot touch and press the alarm key to generate a trigger instruction of the alarm key at the moment, but generally speaking, under the condition that the alarm key is damaged, a relatively serious accident is generally sent, at the moment, alarm information can be directly generated according to the current geographic position, and an alarm is given based on the alarm information, so that the rescue time of a driver is accelerated, and the life safety of the driver is further ensured.
Correspondingly, the current geographical position of the target electric vehicle can be obtained through GPS positioning, the current geographical position of the target electric vehicle can be determined through gyroscope positioning and combination with a historical driving track of the target electric vehicle, and can also be determined through a monitoring video of a road monitoring camera, specifically, the monitoring video is analyzed, and the target distance from the target electric vehicle to the target camera is determined; determining the current geographic position of the target electric vehicle according to the target distance and the equipment position of the road monitoring camera; of course, the current geographic location of the target electric vehicle may also be obtained in other manners, which is not limited in this embodiment.
According to the scheme, the target electric vehicle is subjected to self-inspection of the vehicle body accessories, and a self-inspection result is generated; the analysis result is when the warning button of target electric motor car is destroyed, according to current geographical position generates alarm information, and reports to the police based on alarm information, can be in when the warning button of target electric motor car is destroyed, directly generate corresponding alarm information and report to the police for driver's rescue time, further guarantee driver's life safety.
Based on the embodiment of the electric vehicle alarm method, the invention further provides an electric vehicle alarm device.
Referring to fig. 5, fig. 5 is a functional block diagram of a first embodiment of the alarm device for an electric vehicle of the present invention.
In a first embodiment of the electric vehicle warning apparatus of the present invention, the electric vehicle warning apparatus includes:
the state determining module 10 is configured to obtain a current vehicle condition and a current geographic location of a target electric vehicle, and determine a driving state of the target electric vehicle according to the current vehicle condition.
It should be noted that the current vehicle condition of the target electric vehicle reflects the current electric vehicle condition of the target electric vehicle, including but not limited to a vehicle body damage condition, an electric vehicle braking condition, an electric vehicle sliding condition, and the like, the current geographic position reflects the geographic coordinate position of the target electric vehicle in a relatively stationary state, and the driving state of the target electric vehicle can be determined according to the current vehicle condition; the driving state may be a driving abnormality or a driving abnormality, or of course, may be another driving state, which is not limited in this embodiment.
It can be understood that the current geographic location may be generally determined by data collected by a Global Positioning System (GPS), may also be determined by a road camera in combination with an electric vehicle management and control center, may also be determined by a driving track collected by a gyroscope in combination with the GPS, and certainly may also be determined by other manners, which is not limited in this embodiment.
And the starting module 20 is configured to send a power-on instruction to the target electric vehicle when the driving state is abnormal, so that the target electric vehicle is powered on as an alarm key, and the alarm key is arranged on the target electric vehicle.
It can be understood that, when the driving state is abnormal driving, a power-on instruction is sent to the target electric vehicle, so that the target electric vehicle is powered on by an alarm key, and an alarm function of the target electric vehicle is activated, the alarm key is arranged on the target electric vehicle, and the alarm key may be arranged at the front part of the target electric vehicle, or at the tail part, or at the side surface or the middle part, which is not limited in this embodiment.
And the alarm module 30 is configured to generate alarm information according to the current geographic position and alarm based on the alarm information when receiving a trigger instruction of an alarm key sent by the target electric vehicle.
It should be understood that the trigger instruction may be a trigger instruction generated according to the target electric vehicle according to the trigger state of the alarm key, and is used to start the alarm function of the target electric vehicle, where the trigger instruction may also be a trigger instruction generated when a preset trigger condition is triggered, may also be a trigger instruction directly received from the outside, and may also be a trigger instruction generated in other manners, which is not limited in this embodiment;
it can be understood that after receiving a key triggering instruction, a corresponding alarm message may be generated according to the current geographic location to alarm, where the alarm message may be sent to a mobile terminal of an emergency contact by editing related distress information including the alarm message, or may be sent to a telephone of the emergency contact by directly dialing the telephone of the emergency contact, where the emergency contact is an emergency contact preset in a target electric vehicle by a user, and the telephone of the emergency contact may be a mobile phone number of the emergency contact, a fixed phone, numbers of public alarm phones 110 and 120, and the like, or may be a contact phone in other forms, which is not limited in this embodiment; when there are a plurality of emergency contacts, the emergency contacts may be sequentially contacted according to a preset priority order, and the alarm mode may also be a network communication account generating voice prompt information according to the alarm information and sending the voice prompt information to the emergency contacts, or may also be other alarm modes, which is not limited in this embodiment.
The steps implemented by each functional module of the electric vehicle alarm device can refer to each embodiment of the electric vehicle alarm method of the invention, and are not described herein again.
In addition, an embodiment of the present invention further provides a storage medium, where the storage medium stores an electric vehicle alarm program, and the electric vehicle alarm program, when executed by a processor, implements the following operations:
acquiring the current vehicle condition and the current geographic position of a target electric vehicle, and determining the running state of the target electric vehicle according to the current vehicle condition;
when the running state is abnormal running, sending a power-on instruction to the target electric vehicle so as to enable the target electric vehicle to be powered on as an alarm key, wherein the alarm key is arranged on the target electric vehicle;
and when a triggering instruction of an alarm key sent by the target electric vehicle is received, generating alarm information according to the current geographic position, and giving an alarm based on the alarm information.
Further, the electric vehicle alarm program when executed by the processor further implements the following operations:
acquiring the current geographic position, vehicle body collision data, dumping data and wheel idle data of a target electric vehicle;
determining the current vehicle condition of the target electric vehicle according to the vehicle body collision data;
or the like, or, alternatively,
determining the current vehicle condition of the target electric vehicle according to the dumping data;
or the like, or, alternatively,
determining the current vehicle condition of the target electric vehicle according to the wheel-spinning data;
or the like, or, alternatively,
determining the current vehicle condition of the target electric vehicle according to the vehicle body collision data, the dumping data and the wheel idle data;
and when the current vehicle condition is a dangerous vehicle condition, judging that the running state of the target electric vehicle is abnormal running.
Further, the electric vehicle alarm program when executed by the processor further implements the following operations:
determining the damage degree of the vehicle body corresponding to the vehicle body collision data according to a preset collision degree mapping table;
comparing the damage degree of the vehicle body with a preset collision threshold value to generate a first comparison result;
and when the first comparison result shows that the damage degree of the vehicle body is greater than or equal to the preset collision threshold value, determining that the current vehicle condition of the target electric vehicle is a dangerous vehicle condition.
Further, the electric vehicle alarm program when executed by the processor further implements the following operations:
determining a pouring angle corresponding to the pouring data according to a preset pouring degree mapping table;
comparing the pouring angle with a preset pouring angle to generate a second comparison result;
and when the second comparison result is that the inclination angle is greater than or equal to the preset inclination angle, determining that the current vehicle condition of the target electric vehicle is a dangerous vehicle condition.
Further, the electric vehicle alarm program when executed by the processor further implements the following operations:
determining the corresponding idle degree of the wheel idle data according to a preset wheel idle degree mapping table;
comparing the idling degree with a preset idling threshold value to generate a third comparison result;
and when the third comparison result shows that the idling degree is greater than or equal to the preset idling threshold, determining that the current vehicle condition of the target electric vehicle is a dangerous vehicle condition.
Further, the electric vehicle alarm program when executed by the processor further implements the following operations:
substituting the vehicle body collision data, the dumping data and the wheel idle running data into a preset vehicle condition analysis model to obtain a corresponding collision value, a dumping value and an idle running value;
calculating a comprehensive vehicle condition value of the collision value, the dumping value and the idle rotation value according to a preset weight proportion;
and finding out a target vehicle condition corresponding to the comprehensive vehicle condition value according to a preset vehicle condition evaluation table, and taking the target vehicle condition as the current vehicle condition of the target electric vehicle.
Further, the electric vehicle alarm program when executed by the processor further implements the following operations:
carrying out self-inspection on the target electric vehicle body accessories and generating a self-inspection result;
and when the analysis result shows that the alarm key of the target electric vehicle is damaged, generating alarm information according to the current geographic position, and giving an alarm based on the alarm information.
According to the scheme, the driving state of the target electric vehicle is determined according to the current vehicle condition by acquiring the current vehicle condition and the current geographic position of the target electric vehicle; when the running state is abnormal running, sending a power-on instruction to the target electric vehicle so as to enable the target electric vehicle to be powered on as an alarm key, wherein the alarm key is arranged on the target electric vehicle; when a triggering instruction of an alarm key sent by the target electric vehicle is received, alarm information is generated according to the current geographic position and alarm is carried out based on the alarm information, so that quick alarm and help seeking can be realized when the mobile terminal cannot be used, and the life safety of a driver is guaranteed.
It should be noted that, in this document, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other like elements in a process, method, article, or apparatus that comprises the element.
The above-mentioned serial numbers of the embodiments of the present invention are merely for description and do not represent the merits of the embodiments.
The above description is only a preferred embodiment of the present invention, and not intended to limit the scope of the present invention, and all modifications of equivalent structures and equivalent processes, which are made by using the contents of the present specification and the accompanying drawings, or directly or indirectly applied to other related technical fields, are included in the scope of the present invention.

Claims (10)

1. An electric vehicle alarm method is characterized by comprising the following steps:
acquiring the current vehicle condition and the current geographic position of a target electric vehicle, and determining the running state of the target electric vehicle according to the current vehicle condition;
when the running state is abnormal running, sending a power-on instruction to the target electric vehicle so as to enable the target electric vehicle to be powered on as an alarm key, wherein the alarm key is arranged on the target electric vehicle;
and when a triggering instruction of an alarm key sent by the target electric vehicle is received, generating alarm information according to the current geographic position, and giving an alarm based on the alarm information.
2. The electric vehicle alarm method of claim 1, wherein the obtaining of the current vehicle condition and the current geographic location of the target electric vehicle and the determining of the driving status of the target electric vehicle according to the current vehicle condition comprise:
acquiring the current geographic position, vehicle body collision data, dumping data and wheel idle data of a target electric vehicle;
determining the current vehicle condition of the target electric vehicle according to the vehicle body collision data;
or the like, or, alternatively,
determining the current vehicle condition of the target electric vehicle according to the dumping data;
or the like, or, alternatively,
determining the current vehicle condition of the target electric vehicle according to the wheel-spinning data;
or the like, or, alternatively,
determining the current vehicle condition of the target electric vehicle according to the vehicle body collision data, the dumping data and the wheel idle data;
and when the current vehicle condition is a dangerous vehicle condition, judging that the running state of the target electric vehicle is abnormal running.
3. The electric vehicle warning method of claim 2, wherein said determining a current vehicle condition of the target electric vehicle based on the body collision data specifically comprises:
determining the damage degree of the vehicle body corresponding to the vehicle body collision data according to a preset collision degree mapping table;
comparing the damage degree of the vehicle body with a preset collision threshold value to generate a first comparison result;
and when the first comparison result shows that the damage degree of the vehicle body is greater than or equal to the preset collision threshold value, determining that the current vehicle condition of the target electric vehicle is a dangerous vehicle condition.
4. The electric vehicle alert method as recited in claim 2, wherein said determining a current vehicle condition of said target electric vehicle based on said dump data specifically comprises:
determining a pouring angle corresponding to the pouring data according to a preset pouring degree mapping table;
comparing the pouring angle with a preset pouring angle to generate a second comparison result;
and when the second comparison result is that the inclination angle is greater than or equal to the preset inclination angle, determining that the current vehicle condition of the target electric vehicle is a dangerous vehicle condition.
5. The electric vehicle warning method as claimed in claim 2, wherein the determining the current vehicle condition of the target electric vehicle based on the wheel-spinning data specifically comprises:
determining the corresponding idle degree of the wheel idle data according to a preset wheel idle degree mapping table;
comparing the idling degree with a preset idling threshold value to generate a third comparison result;
and when the third comparison result shows that the idling degree is greater than or equal to the preset idling threshold, determining that the current vehicle condition of the target electric vehicle is a dangerous vehicle condition.
6. The electric vehicle warning method of claim 2, wherein said determining a current vehicle condition of the target electric vehicle based on the body collision data, the dump data, and the wheel spin data, comprises:
substituting the vehicle body collision data, the dumping data and the wheel idle running data into a preset vehicle condition analysis model to obtain a corresponding collision value, a dumping value and an idle running value;
calculating a comprehensive vehicle condition value of the collision value, the dumping value and the idle rotation value according to a preset weight proportion;
and finding out a target vehicle condition corresponding to the comprehensive vehicle condition value according to a preset vehicle condition evaluation table, and taking the target vehicle condition as the current vehicle condition of the target electric vehicle.
7. The electric vehicle alarm method of any one of claims 1-6, wherein the electric vehicle alarm method further comprises, when receiving an alarm key triggering instruction sent by the target electric vehicle, generating alarm information according to the current geographic location, and before alarming based on the alarm information:
carrying out self-inspection on the target electric vehicle body accessories and generating a self-inspection result;
and when the analysis result shows that the alarm key of the target electric vehicle is damaged, generating alarm information according to the current geographic position, and giving an alarm based on the alarm information.
8. An electric vehicle alarm device, characterized in that, the electric vehicle alarm device includes:
the state determination module is used for acquiring the current vehicle condition and the current geographic position of the target electric vehicle and determining the running state of the target electric vehicle according to the current vehicle condition;
the starting module is used for sending a power-on instruction to the target electric vehicle when the running state is abnormal running so as to enable the target electric vehicle to be powered on as an alarm key, and the alarm key is arranged on the target electric vehicle;
and the alarm module is used for generating alarm information according to the current geographic position and giving an alarm based on the alarm information when receiving a trigger instruction of an alarm key sent by the target electric vehicle.
9. An electric vehicle, characterized in that the electric vehicle comprises: an electric vehicle body, a memory, a processor and an electric vehicle alarm program stored on the memory and executable on the processor, the electric vehicle alarm program being configured to implement the steps of the electric vehicle alarm method as claimed in any one of claims 1 to 7.
10. A storage medium having stored thereon an electric vehicle alarm program which, when executed by a processor, implements the steps of the electric vehicle alarm method according to any one of claims 1 to 7.
CN201910880184.8A 2019-09-17 2019-09-17 Electric vehicle alarm method and device, electric vehicle and storage medium Pending CN110675606A (en)

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Publication number Priority date Publication date Assignee Title
CN1960895A (en) * 2004-05-28 2007-05-09 摩托罗拉公司 Localized accident notification
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Application publication date: 20200110