CN112201064A - Method and system for monitoring riding behaviors of motorcycle - Google Patents
Method and system for monitoring riding behaviors of motorcycle Download PDFInfo
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- CN112201064A CN112201064A CN202011060453.5A CN202011060453A CN112201064A CN 112201064 A CN112201064 A CN 112201064A CN 202011060453 A CN202011060453 A CN 202011060453A CN 112201064 A CN112201064 A CN 112201064A
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/09—Arrangements for giving variable traffic instructions
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01H—MEASUREMENT OF MECHANICAL VIBRATIONS OR ULTRASONIC, SONIC OR INFRASONIC WAVES
- G01H17/00—Measuring mechanical vibrations or ultrasonic, sonic or infrasonic waves, not provided for in the preceding groups
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01P—MEASURING LINEAR OR ANGULAR SPEED, ACCELERATION, DECELERATION, OR SHOCK; INDICATING PRESENCE, ABSENCE, OR DIRECTION, OF MOVEMENT
- G01P7/00—Measuring speed by integrating acceleration
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/01—Detecting movement of traffic to be counted or controlled
- G08G1/0104—Measuring and analyzing of parameters relative to traffic conditions
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Abstract
The application relates to a method and a system for monitoring riding behaviors of a motorcycle, wherein the method comprises the following steps: determining the traffic rule of the position of the motorcycle according to the map data and the navigation data; acquiring detection characteristic data generated by a sensor in the intelligent helmet; and processing the detection characteristic data to obtain the riding behavior, and judging whether the riding behavior is the violation behavior or not based on the traffic rule. Whether the riding behavior of the rider is the violation behavior can be quickly determined, and a prompt is sent to the rider, so that the rider restrains the riding behavior, and then the probability of traffic accidents is reduced.
Description
Technical Field
The application relates to the technical field of data processing, in particular to a method and a system for monitoring riding behaviors of a motorcycle.
Background
Because the commute is convenient to use, has leisure use value and the like, people who choose to ride the motorcycle for going out are more and more, and the motorcycle conservation amount is rapidly increased in the last few years.
The motorcycle has the characteristics of fast acceleration and deceleration, high limit speed and capability of shuttling narrow gaps. Due to the aforementioned characteristics and the driving randomness of the motorcycle rider, the rate of traffic violations and traffic accidents occurring when driving a motorcycle is higher than that of driving a four-wheeled motor vehicle. How to effectively control the riding behavior of the motorcycle and remind a rider to obey the traffic rules is an important means for reducing the traffic accidents of the motorcycle.
However, at present, motorcycle violation accidents are still notified in a manner of after-event penalty notification after the vehicle violation is determined by the urban traffic control; and on the occasion without the violation acquisition equipment, the problem of traffic violation can not be effectively acquired and reminded to the rider.
Disclosure of Invention
To solve the above technical problem or at least partially solve the above technical problem, the present application provides a method and system for monitoring riding behavior of a motorcycle.
In one aspect, the present application provides a method of monitoring a riding behavior of a motorcycle, comprising:
determining the traffic rule of the position of the motorcycle according to the map data and the navigation data; acquiring detection characteristic data generated by a sensor in the intelligent helmet;
and processing the detection characteristic data to obtain the riding behavior, and judging whether the riding behavior is the violation behavior or not based on the traffic rule.
Optionally, the method further comprises:
and reporting the violation behaviors to a preset terminal under the condition that the riding behaviors are violation behaviors.
Optionally, the sensor in the intelligent helmet comprises a camera for shooting road conditions in front of the vehicle;
the detection characteristic data that the sensor produced in acquireing intelligent helmet includes: acquiring image data shot by the camera;
under the condition that the traffic rule comprises a traffic light rule, judging whether the riding behavior is a violation behavior based on the traffic rule comprises the following steps:
processing the image data and extracting signal lamp characteristics; and the number of the first and second groups,
and determining that the motorcycle passes through the road intersection according to the navigation data, and determining the red light running behavior of the riding behavior under the condition that the signal lamp characteristics corresponding to the corresponding driving route are red lights.
Optionally, the sensor in the smart helmet comprises an acceleration sensor;
under the condition that the traffic rule comprises a speed limit rule, processing the detection characteristic data to obtain a riding behavior, and judging whether the riding behavior is a violation behavior based on the traffic rule, wherein the steps of:
determining an actual vehicle speed according to acceleration data generated by the acceleration sensor;
and determining whether the riding behavior is overspeed behavior according to the actual vehicle speed and the speed limit rule.
Optionally, the method further comprises:
and determining whether the riding behavior is forbidden behavior, forbidden stopping behavior and/or retrograde behavior according to the map data and the navigation data.
Optionally, the sensors in the smart helmet sensors comprise vibration sensors and/or microphones; the method further comprises the following steps:
determining the vibration characteristic of the power device of the motorcycle according to the vibration characteristic data generated by the vibration sensor or the audio data generated by the sound pick-up;
determining whether there is illegal modification behavior based on the power plant vibration characteristics;
and reporting the illegal modification behavior to a preset terminal under the condition that the illegal modification behavior exists.
In another aspect, the present application provides a system for monitoring cycling behavior of a motorcycle, comprising:
the data processing terminal is used for determining the traffic rule of the position of the motorcycle according to the map data and the navigation data; acquiring detection characteristic data generated by a sensor in the intelligent helmet; and the number of the first and second groups,
and the traffic rule judging module is used for processing the detection characteristic data to obtain a riding behavior and judging whether the riding behavior is a violation behavior or not based on the traffic rule.
Optionally, the system further comprises a cloud platform; the cloud platform is used for storing the violation behaviors and the detection characteristic data;
and the data processing terminal is also used for reporting the violation behaviors to the cloud platform under the condition that the violation behaviors occur.
Optionally, the detection feature data includes image data captured by a camera in the smart helmet;
under the condition that the traffic rule comprises a traffic signal lamp rule, the data processing terminal processes the detection characteristic data to obtain a riding behavior, and judges whether the riding behavior is a violation behavior or not based on the traffic rule, wherein the steps of:
processing the image data and extracting signal lamp characteristics; determining that the motorcycle passes through a road intersection according to the navigation data, and determining the red light running behavior of the riding behavior under the condition that the signal lamp characteristic corresponding to the corresponding driving route is a red light; and/or the presence of a gas in the gas,
the detection characteristic data comprises acceleration data detected by an acceleration sensor in the intelligent helmet;
under the condition that the traffic rule comprises a speed limit rule, the data processing terminal processes the detection characteristic data to obtain a riding behavior, and judges whether the riding behavior is a violation behavior or not based on the traffic rule, wherein the steps of: determining an actual vehicle speed according to the acceleration data; and determining whether the riding behavior of the motorcycle is overspeed behavior according to the actual speed and the speed limit rule.
Optionally, the detection feature data further includes vibration feature data generated by a vibration sensor in the smart helmet or audio data generated by a sound pickup;
the data processing terminal or the cloud platform is further configured to:
determining a power plant vibration characteristic of the motorcycle according to the vibration characteristic data and/or the audio data;
determining whether there is illegal modification behavior based on the power plant vibration characteristics;
and reporting the illegal modification behavior to a preset terminal under the condition that the illegal modification behavior exists.
The method and the system for monitoring the riding behaviors of the motorcycle can rapidly determine whether the riding behaviors of the rider are violation behaviors or not, and send out a prompt to the rider, so that the rider restrains the riding behaviors, and then the probability of traffic accidents is reduced.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the present application and together with the description, serve to explain the principles of the application.
In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings needed to be used in the description of the embodiments or the prior art will be briefly described below, and it is obvious for those skilled in the art to obtain other drawings without inventive exercise.
FIG. 1 is a flowchart of a method for monitoring riding behavior of a motorcycle according to an embodiment of the present application;
fig. 2 is a schematic view illustrating a determination of whether a riding behavior is a red light running behavior according to an embodiment of the present application;
FIG. 3 is a schematic diagram of determining whether a cycling behavior is overspeed according to an embodiment of the present application;
FIG. 4 is a schematic structural diagram of a system for monitoring riding behavior of a motorcycle according to an embodiment of the present application;
fig. 5 is a schematic structural diagram of an electronic device provided in an embodiment of the present application;
wherein: 11-data processing terminal, 12-cloud platform, 01-intelligent helmet, 21-processor, 22-memory, 23-communication interface and 24-bus system.
Detailed Description
In order that the above-mentioned objects, features and advantages of the present application may be more clearly understood, the solution of the present application will be further described below. It should be noted that the embodiments and features of the embodiments of the present application may be combined with each other without conflict.
In the following description, numerous specific details are set forth in order to provide a thorough understanding of the present application, but the present application may be practiced in other ways than those described herein; it is to be understood that the embodiments described in this specification are only some embodiments of the present application and not all embodiments.
According to the national standard, the motorcycle is a two-wheel or three-wheel motor vehicle with the maximum speed per hour more than 50km/h or the total displacement of an engine cylinder more than 50 ml. In some applications of the embodiment of the application, the motorcycle can be a motor vehicle specified by national standards, and also comprises a two-wheel or three-wheel vehicle with non-artificial power which is identified as a fuel-assisted vehicle or an electric riding vehicle according to the national standards. That is, some low-speed fuel vehicles, electric two-wheeled vehicles, or three-wheeled vehicles are also known as motorcycles.
The embodiment of the application provides a method for monitoring the riding behavior of a motorcycle, which is used for monitoring whether the riding behavior of a motorcycle rider is illegal.
FIG. 1 is a flowchart of a method for monitoring riding behaviors of a motorcycle according to an embodiment of the application. As shown in FIG. 1, the method for monitoring the riding behavior of the motorcycle provided by the embodiment of the application comprises steps S101-S104.
S101: and acquiring detection characteristic data generated by a sensor in the intelligent helmet.
The acquisition of the detection feature data in step S101 is executed by the data processing terminal.
In practical implementation of this embodiment, the data processing terminal may be a dedicated data processing terminal, or may be a general processing terminal installed with specific software. For example, the data processing terminal may be a motorcycle system of a motorcycle, a smart phone installed with a specific APP, or a dedicated processing terminal installed on a smart helmet.
It should be noted that the data processing terminal should be a device capable of determining where the motorcycle is located. In practical applications, the intelligent processing device can be configured on the motorcycle or carried by the rider in order to determine the position of the motorcycle.
According to road traffic regulations, a riding motorcycle must wear a helmet. In the embodiment of the application, the helmet worn by the motorcycle rider is an intelligent helmet, and the intelligent helmet is a helmet which is provided with a sensor and can detect specific characteristic data by using the sensor and transmit the data to the data processing terminal. In some applications, the sensors of the smart helmet configuration may include cameras, acceleration sensors, vibration sensors, and microphones.
In a specific application of the embodiment of the present application, the intelligent helmet may be configured with a communication device for connecting with a data processing terminal, and a speaker and a display device for outputting information, in addition to the aforementioned sensor. The communication device can be a Bluetooth communication device, and can also be other types of devices capable of realizing near field communication; the loudspeaker can play audio data sent by the data processing terminal through the communication device, and the display device is used for displaying and outputting image data sent by the data processing terminal through the communication device.
S102: and determining the traffic rule of the position of the motorcycle according to the map data and the navigation data.
In the embodiment of the application, a digital map and a positioning device are configured in the data processing terminal. The data map comprises road characteristic information (such as longitude and latitude information and road topological relation information) and traffic rules of roads at all levels; the positioning device is used for determining the position of the data processing device in real time. The positioning device can be a satellite navigation positioning device such as a Beidou navigation system, and can also be a device for positioning by adopting link data provided by a communication base station, and the embodiment of the application is not particularly limited.
It should be noted that the locating device is a device that moves as the motorcycle or rider moves to ensure that the real-time position of the motorcycle can be determined using the locating device.
After the positioning device is adopted to determine the position of the motorcycle, the road on which the motorcycle runs can be determined according to the road characteristic information in the map data. After the motorcycle driving road is determined, the traffic rules of the road can be determined by searching corresponding data.
S103: and processing the detection characteristic data to obtain the riding behavior.
In the embodiment of the application, a specific processing algorithm is configured in the data processing terminal and used for processing and detecting the characteristic data to generate riding characteristic data, and the riding behavior of the motorcycle is determined according to the riding characteristic data. In practical applications, the riding behavior of the motorcycle can be a driving behavior, a parking behavior, and a specific speed state behavior.
S104: and judging whether the riding behaviors are illegal behaviors or not based on the traffic rules.
The method for monitoring the riding behavior of the motorcycle can determine the traffic rule of the position of the motorcycle according to the map data and the navigation data, determine the riding behavior according to the detection characteristic data, and determine whether the riding behavior is a violation behavior according to the traffic rule and the riding behavior.
By adopting the method provided by the embodiment of the application, whether the riding behavior of the rider is the violation behavior can be rapidly determined, and the prompt is sent to the rider, so that the rider restrains the riding behavior, and then the probability of traffic accidents is reduced.
When the embodiment of the present application is implemented, in addition to the foregoing steps S101 to S104, the embodiment of the present application may further include step S105.
S105: and reporting the violation behaviors to a preset terminal under the condition that the riding behaviors are violation behaviors.
In the embodiment of the application, the data processing terminal stores the address of the preset terminal. And under the condition that the riding behavior violation behavior is determined, the data processing terminal sends the violation behavior to the preset terminal.
In one specific application, the preset terminal may be the intelligent helmet, so that the violation behavior is output by using a display device or a loudspeaker in the intelligent helmet to inform the rider of the violation behavior.
In another specific application, the preset terminal may be a remote cloud platform; the remote cloud platform is used for recording riding behaviors (particularly violation behaviors) of the rider. According to specific regulation and control conditions, the remote platform can be a third-party platform which is authorized by a rider and does not have supervision authority, and can also be a platform managed and controlled by a traffic management department.
Under the condition that the preset terminal is a remote cloud platform, besides reporting the violation behaviors, the data processing terminal can also sign and upload the detection characteristic data and the road characteristic data so as to use the detection characteristic data and the road characteristic data as prompt evidences or punishment evidences.
In the embodiment of the application, according to the difference of the sensors configured in the intelligent helmet, the processing process for judging whether the riding behaviors are the violation behaviors based on the traffic rules is different, and the following conditions are included.
1. Case where the sensor in the intelligent helmet is a camera
In the case where the sensor is a camera, the detection feature data is image data taken by the camera. The road traffic rules which can be represented in an image form in the actual road comprise signal lamp rules, and the corresponding judgment of whether the riding behavior is the violation behavior can be the judgment of whether the riding behavior is the red light running behavior.
Fig. 2 is a schematic view illustrating a determination of whether a riding behavior is a red light running behavior according to an embodiment of the present application; as shown in fig. 2, determining whether the riding behavior is a red light running behavior includes steps S201 and S202.
S201: and processing the image data and extracting the signal lamp characteristics.
In the embodiment of the application, the data processing terminal can determine whether the motorcycle is close to the road intersection (for example, determine that the motorcycle is close to the road intersection when the motorcycle is 50m away from the road intersection) according to the road data and the navigation data, and determine whether the road intersection is provided with the traffic lights according to the road data. If the motorcycle is close to the road intersection, the data processing terminal can process image data collected in a period of time later and extract the signal lamp characteristics.
The data processing terminal processes the image data, and the signal lamp characteristic is extracted by detecting whether certain specific positions of the image have color blocks with specific shapes and specific colors (red, green or yellow) and then determining the signal lamp characteristic. According to traffic regulations, a red light is a forbidden signal, a green light is a communication signal, and a yellow light represents a warning signal. Therefore, the current situation of the traffic regulation of the road intersection can be determined according to the signal lamp characteristics.
It should also be noted that, in the embodiment of the present application, after the data processing terminal determines that the vehicle is close to the intersection, the processed image data should be data of the forward direction of the motorcycle. In specific application, the vehicle advancing direction can be determined according to lane line information in a road, whether the data acquired by the camera is still the data of the motorcycle advancing direction or not is determined by comparing the similarity of the image data in a period of time, and whether the image data is processed or not is determined.
S102: and determining that the motorcycle passes through the road intersection according to the navigation data, and determining the red light running behavior of the riding behavior under the condition that the signal lamp characteristics corresponding to the corresponding driving route are red lights.
In practical application, the traffic flow and the pedestrian flow at the road intersections in different areas are different. In order to meet different road traffic demands, the number of the traffic signal lamps and the circulation rules are different. For example, at a non-core road intersection where the traffic volume is not large, only one traffic light is set for left turn and straight going, and no limitation is made on right turn; traffic lights are arranged at junction intersections with large vehicle traffic volume, and the traffic lights are arranged for left turning, straight running and right turning.
In the embodiment of the application, the data processing terminal can determine the number of the traffic lights and the passing rule of the road intersection according to the map data and determine the driving route corresponding to each traffic light.
If the navigation data determines that the motorcycle passes through the road intersection and the signal lamp characteristic corresponding to the corresponding driving route is the red light, the riding behavior can be determined to be the red light running behavior.
2. Case where the sensor in the intelligent helmet is an acceleration sensor
In the case where the sensor is an acceleration sensor, the detection characteristic data is acceleration data detected by the acceleration sensor. The acceleration of the motorcycle can be detected from the acceleration data, and the actual speed of the motorcycle can be determined from the acceleration by integrating the acceleration. Therefore, whether the riding behavior is the violation behavior or not is correspondingly judged, and whether the riding behavior is the overspeed behavior or not is judged.
FIG. 3 is a schematic diagram of determining whether a cycling behavior is overspeed according to an embodiment of the present application; as shown in fig. 3, determining whether the riding behavior is overspeed includes steps S301 and S302.
S301: and determining the actual vehicle speed according to the acceleration data generated by the acceleration sensor.
S302: and determining whether the riding behavior is overspeed behavior according to the actual vehicle speed and the speed limit rule.
Specifically, the actual vehicle speed may be compared with the highest speed limit in the speed limit rule, whether the actual vehicle speed is greater than the highest speed limit is determined, and the riding behavior is determined to be an overspeed behavior under the condition that the actual vehicle speed is greater than the highest speed limit.
In addition, according to practical experience, the maximum value of the acceleration generated by the vehicle is determined by the power device and the brake device in the motorcycle, and the maximum acceleration value of the vehicle can be determined according to parameters provided by a main engine manufacturer. In practice, however, traffic accidents may occur if the acceleration sensor detects the occurrence of an acceleration value greater than the maximum acceleration value.
In the embodiment of the application, the data processing terminal judges that the vehicle has an abnormal accident under the condition that the received acceleration value is larger than the stored maximum acceleration value. At this time, the data processing terminal can report the abnormal accident condition of the vehicle to terminals such as a cloud platform, so that the cloud platform can learn that the abnormal accident of the vehicle may occur. The cloud platform can confirm whether a traffic accident occurs by contacting a driver, or can inform the traffic control department so that the traffic control department can check the road accident condition of the position of the motorcycle.
In addition to determining whether the riding behavior is a red light running behavior or an overspeed behavior according to the detected characteristic data, in the embodiment of the application, it may be determined whether the riding behavior is one or more of a forbidden behavior, a forbidden stopping behavior, or a converse behavior according to the map data and the navigation data.
Specifically, the traffic rules in the map data may include rules such as a restricted area, a restricted parking area, and a one-way road. And the current position of the motorcycle or the driving direction of the motorcycle can be determined according to the map data and the navigation data, and whether one or more of the forbidden behaviors, the forbidden behaviors or the retrograde motion behaviors occur can be determined by combining the traffic rules and the actual position of the motorcycle or the driving direction of the motorcycle.
In the embodiment of the application, the sensor configured in the intelligent helmet can comprise a vibration sensor and/or a sound pickup.
In the driving process of the motorcycle, the vibration sensor can generate vibration characteristic data, wherein the vibration characteristic data comprises vibration data generated by external factors such as roads, a motorcycle power device, operation actions of a rider and wind resistance; wherein the vibration data generated by factors such as the road, the rider action and the wind resistance have specific spectral characteristics. After the vibration characteristic data is obtained, the vibration characteristic of the motorcycle power device can be obtained after characteristic data corresponding to the road, the operation action of a rider and the wind resistance are removed through data processing.
The vibration characteristics of the power device of the motorcycle are determined according to the discharge capacity of the internal combustion engine and the type of the exhaust funnel, and the vibration characteristics of the power device are different due to different discharge capacities, different brands of internal combustion engines and different types of exhaust funnels. And the type, the discharge capacity and the type of the exhaust funnel of the internal combustion engine of the motorcycle are determined when the motorcycle leaves a factory, so that the vibration frequency spectrum characteristic of the power device of the motorcycle is also determined. Similarly, the power plant vibration characteristics of a particular illicit retrofit type have particular spectral characteristics.
If the vibration characteristics of the motorcycle power device determined by the data processing terminal are different from the vibration characteristics determined by the original factory equipment, or the vibration characteristics of the power device have certain spectral characteristics specific to illegal modification types, the fact that the vehicle is illegally modified can be determined most probably. That is, it is possible to determine whether there is an illegal modification behavior according to the vibration characteristics of the motorcycle power unit. If the illegal modification behavior exists, the illegal modification behavior can be reported to a preset terminal platform such as a cloud platform.
According to the regulations of the road traffic laws and regulations in China, the motor vehicle cannot be illegally modified; the existing motorcycle modification (especially exhaust funnel) is the illegal modification of motor vehicles in disaster areas.
In the embodiment of the application, whether the motorcycle is illegally modified is determined through the vibration characteristic data, and then the motorcycle is reported to processing platforms such as a cloud platform. If the cloud platform is a vehicle service provider management platform, the vehicle service provider can determine whether to provide three-pack services of specific parts for the motorcycle according to the illegal modification state; if the cloud platform is a traffic management system operation platform, the traffic management system can directionally check illegal modified vehicles so as to check the illegal behaviors as early as possible.
Similarly, the sound pickup may collect superimposed sound data generated by rider operation, wind resistance, motorcycle power unit, road noise, and the like, and audio data generated by factors such as road, rider operation, and wind resistance have specific spectral characteristics. According to the method, the vibration characteristic of the power device of the motorcycle can be determined according to the audio data generated by the sound pick-up, and whether the vehicle is illegally modified is determined according to the vibration characteristic of the power device.
In addition to providing the foregoing method for monitoring the riding behavior of the motorcycle, embodiments of the present application also provide a system for monitoring the riding behavior of the motorcycle.
Fig. 4 is a schematic structural diagram of a system for monitoring riding behaviors of a motorcycle according to an embodiment of the present application. As shown in fig. 4, the system in the embodiment of the present application includes a data processing terminal 11. The data processing terminal 11 can be connected in communication with a sensor in the intelligent helmet 01 worn by the rider to acquire detection characteristic data generated by the sensor.
The data processing terminal 11 is further configured to: determining the traffic rule of the position of the motorcycle according to the map data and the navigation data; processing and detecting the characteristic data to obtain riding behaviors; and judging whether the riding behaviors are illegal behaviors or not based on the traffic rules.
By adopting the method for monitoring the riding behavior of the motorcycle, whether the riding behavior of the rider is illegal or not can be quickly determined, and a prompt is sent to the rider, so that the rider restrains the riding behavior, and the probability of traffic accidents is reduced.
As shown in fig. 4, in one implementation, the system may also include a cloud platform 12. The cloud platform 12 is used to store violation behaviors and detect signature data. And under the condition that the data processing terminal 11 judges that the violation behaviors occur, the violation behaviors are reported to the cloud platform 12.
In a specific application of the embodiment of the application, the sensor in the intelligent helmet 01 can comprise a camera, and the corresponding detection characteristic data is image data shot by the camera.
Correspondingly, under the condition that the traffic rules include the traffic signal lamp rules, the data processing terminal 11 processes and processes the detection characteristic data to obtain the riding behaviors, and judging whether the riding behaviors are the violation behaviors based on the traffic rules includes: processing the image data and extracting the signal lamp characteristics; and determining that the motorcycle passes through the road intersection according to the navigation data, and determining the red light running behavior of the riding behavior under the condition that the signal lamp characteristics corresponding to the corresponding driving route are red lights.
In another specific application of the embodiment of the present application, the sensor in the smart helmet 01 may include an acceleration sensor, and the corresponding detection characteristic data is acceleration data.
Correspondingly, under the condition that the traffic rule includes the speed limit rule, the data processing terminal 11 processes and detects the characteristic data to obtain the riding behavior, and judges whether the riding behavior is the violation behavior based on the traffic rule, including: determining an actual vehicle speed according to the acceleration data; and determining whether the riding behavior of the motorcycle is overspeed behavior according to the actual speed and the speed limit rule.
In the embodiment of the present application, the data processing terminal 11 may further determine whether the riding behavior is at least one of a no-go behavior, or a reverse behavior according to the map data and the navigation data. Specifically, the traffic rules in the map data acquired by the data processing terminal 11 may include rules such as a traffic restriction area, a parking restriction area, and a one-way road. The current position of the motorcycle or the driving direction of the motorcycle can be determined according to the map data and the navigation data, and whether one or more of the forbidden behaviors, the forbidden behaviors or the retrograde motion behaviors occur can be determined by combining the traffic rules and the actual position of the motorcycle or the driving direction of the motorcycle.
In the embodiment of the present application, the sensors in the smart helmet 01 further include a vibration sensor and/or a sound pickup. Correspondingly, the data processing terminal 11 or the cloud platform 12 may further be configured to: determining the vibration characteristics of the power device of the motorcycle according to the vibration characteristic data and/or the audio data, and determining whether illegal modification behaviors exist or not based on the vibration characteristics of the power device; and reporting the illegal modification behavior to a preset terminal under the condition of the illegal modification behavior.
In practical applications, the data processing terminal 11 may be a dedicated data processing terminal 11, or a general processing terminal installed with a specific application program. For example, in some specific applications, the data processing terminal 11 may be a smartphone of a rider, the smartphone being equipped with an APP for interacting with the smart helmet 01.
In the embodiment of the application, the smart phone installed on the rider can have a history recording function and a navigation information providing function besides the functions, so that travel related information such as travel history, navigation information and real-time road condition information can be provided for the rider. In addition, the smart phone can also communicate with a traffic management system to acquire administrative management and control information such as motorcycle violation information and annual inspection state information.
In addition, the APP installed in the smart phone and used for interacting with the smart helmet 01 can also be pushed to a rider or prompt a nearby motorcycle maintenance business or sales business according to the position of the motorcycle, so that the rider can conveniently select a vehicle maintenance place. In some applications, the smart phone can also directly push prompt information such as vehicle repair, maintenance due time and the like to a rider according to the driving mileage of the motorcycle.
In the embodiment of the present application, the cloud platform 12 may store various data uploaded by the data processing terminal 11, and may also issue data for guiding a rider to select a driving route, such as navigation update data, real-time road condition data, and the like, to the data processing terminal 11. In addition, the cloud platform 12 may further include a merchant access interface to access a website of a merchant, so that a user may know merchant product information through the cloud platform 12, or put an advertisement to the user through the cloud platform 12, and develop a marketing campaign.
The embodiment of the application also provides the electronic equipment and a computer readable storage medium.
Fig. 5 is a schematic structural diagram of an electronic device provided in an embodiment of the present application. The electronic device may be used to monitor motorcycle driving behavior.
As shown in fig. 5, the electrons include: at least one processor 21, at least one memory 22, and at least one communication interface 23. The various components in the electronic device are coupled together by a bus system 24. The communication interface 23 is used for information transmission with an external device, and in a specific application, the communication interface 23 may be a bluetooth communication interface. Understandably, the bus system 24 is used to enable connective communication between these components. The bus system 34 includes a power bus, a control bus, and a status signal bus in addition to the data bus. For clarity of illustration, the various buses are labeled as bus system 24 in fig. 5.
It will be appreciated that the memory 22 in this embodiment may be either volatile memory or nonvolatile memory, or may include both volatile and nonvolatile memory.
In some embodiments, memory 22 stores elements, executable units or data structures, or a subset thereof, or an expanded set thereof: an operating system and an application program.
The operating system includes various system programs, such as a framework layer, a core library layer, a driver layer, and the like, and is used for implementing various basic tasks and processing hardware-based tasks. The application programs include various application programs such as a media player (MediaPlayer), a Browser (Browser), etc. for implementing various application tasks. The method for monitoring the riding behavior of the motorcycle provided by the embodiment of the disclosure can be contained in an application program.
In the embodiment of the present disclosure, the processor 21 is configured to execute the steps of the method for monitoring the riding behavior of the motorcycle provided by the present application by calling the program or the instructions stored in the memory 22, which may be specifically a program or instructions stored in an application program.
The processor 31 may be an integrated circuit chip having signal processing capabilities. In implementation, the steps of the above method may be performed by integrated logic circuits of hardware or instructions in the form of software in the processor 21. The processor 21 may be a general-purpose processor, a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), an off-the-shelf programmable gate array (FPGA) or other programmable logic device, discrete gate or transistor logic device, or discrete hardware components. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like.
The steps of the method for monitoring the riding behavior of the motorcycle provided by the embodiment of the disclosure can be directly embodied as the execution of a hardware decoding processor, or the execution of the hardware decoding processor and a software unit in the decoding processor is combined. The software elements may be located in ram, flash, rom, prom, or eprom, registers, among other storage media that are well known in the art. The storage medium is located in a memory 22, and the processor 21 reads the information in the memory 22 and performs the steps of the method in combination with its hardware.
The embodiments of the present disclosure also provide a non-transitory computer-readable storage medium, where the non-transitory computer-readable storage medium stores a program or instructions, and the program or instructions cause a computer to execute steps of various embodiments of a method for monitoring a riding behavior of a motorcycle, which are not described herein again to avoid repeated descriptions.
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 identical elements in a process, method, article, or apparatus that comprises the element.
The above description is merely exemplary of the present application and is presented to enable those skilled in the art to understand and practice the present application. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to other embodiments without departing from the spirit or scope of the application. Thus, the present application is not intended to be limited to the embodiments shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.
Claims (10)
1. A method for monitoring riding behaviors of a motorcycle is characterized by comprising the following steps:
determining the traffic rule of the position of the motorcycle according to the map data and the navigation data; acquiring detection characteristic data generated by a sensor in the intelligent helmet;
and processing the detection characteristic data to obtain the riding behavior, and judging whether the riding behavior is the violation behavior or not based on the traffic rule.
2. A method of monitoring the riding behaviour of a motorcycle according to claim 1, further comprising:
and reporting the violation behaviors to a preset terminal under the condition that the riding behaviors are violation behaviors.
3. A method of monitoring the riding behavior of a motorcycle as claimed in claim 1, wherein the sensors in the intelligent helmet comprise a camera for capturing the road conditions ahead of the vehicle;
the detection characteristic data that the sensor produced in acquireing intelligent helmet includes: acquiring image data shot by the camera;
under the condition that the traffic rule comprises a traffic light rule, judging whether the riding behavior is a violation behavior based on the traffic rule comprises the following steps:
processing the image data and extracting signal lamp characteristics; and the number of the first and second groups,
and determining that the motorcycle passes through the road intersection according to the navigation data, and determining the red light running behavior of the riding behavior under the condition that the signal lamp characteristics corresponding to the corresponding driving route are red lights.
4. A method of monitoring cycling behavior as claimed in claim 1, characterized in that the sensors in the smart helmet comprise acceleration sensors;
under the condition that the traffic rule comprises a speed limit rule, processing the detection characteristic data to obtain a riding behavior, and judging whether the riding behavior is a violation behavior based on the traffic rule, wherein the steps of:
determining an actual vehicle speed according to the acceleration data;
and determining whether the riding behavior is overspeed behavior according to the actual vehicle speed and the speed limit rule.
5. A method of monitoring the riding behaviour of a motorcycle according to claim 1, further comprising:
and determining whether the riding behavior is forbidden behavior, forbidden stopping behavior and/or retrograde behavior according to the map data and the navigation data.
6. A method of monitoring cycling behavior as claimed in claim 1, characterized in that the sensors in the smart helmet comprise vibration sensors and/or microphones; the method further comprises the following steps:
determining the vibration characteristic of the power device of the motorcycle according to the vibration characteristic data generated by the vibration sensor or the audio data generated by the sound pick-up;
determining whether there is illegal modification behavior based on the power plant vibration characteristics;
and reporting the illegal modification behavior to a preset terminal under the condition that the illegal modification behavior exists.
7. A system for monitoring the riding behavior of a motorcycle, comprising:
the data processing terminal is used for determining the traffic rule of the position of the motorcycle according to the map data and the navigation data; acquiring detection characteristic data generated by a sensor in the intelligent helmet; and the number of the first and second groups,
and the traffic rule judging module is used for processing the detection characteristic data to obtain a riding behavior and judging whether the riding behavior is a violation behavior or not based on the traffic rule.
8. The system of claim 7,
the system also comprises a cloud platform; the cloud platform is used for storing the violation behaviors and the detection characteristic data;
and the data processing terminal is also used for reporting the violation behaviors to the cloud platform under the condition that the violation behaviors occur.
9. The system of claim 7,
the detection characteristic data comprises image data shot by a camera in the intelligent helmet;
under the condition that the traffic rule comprises a traffic signal lamp rule, the data processing terminal processes the detection characteristic data to obtain a riding behavior, and judges whether the riding behavior is a violation behavior or not based on the traffic rule, wherein the steps of:
processing the image data and extracting signal lamp characteristics; determining that the motorcycle passes through a road intersection according to the navigation data, and determining the red light running behavior of the riding behavior under the condition that the signal lamp characteristic corresponding to the corresponding driving route is a red light; and/or the presence of a gas in the gas,
the detection characteristic data comprises acceleration data detected by an acceleration sensor in the intelligent helmet;
under the condition that the traffic rule comprises a speed limit rule, the data processing terminal processes the detection characteristic data to obtain a riding behavior, and judges whether the riding behavior is a violation behavior or not based on the traffic rule, wherein the steps of: determining an actual vehicle speed according to the acceleration data; and determining whether the riding behavior of the motorcycle is overspeed behavior according to the actual speed and the speed limit rule.
10. The system of claim 8,
the detection characteristic data further comprises vibration characteristic data generated by a vibration sensor in the intelligent helmet or audio data generated by a sound pickup;
the data processing terminal or the cloud platform is further configured to:
determining a power plant vibration characteristic of the motorcycle according to the vibration characteristic data and/or the audio data;
determining whether there is illegal modification behavior based on the power plant vibration characteristics;
and reporting the illegal modification behavior to a preset terminal under the condition that the illegal modification behavior exists.
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