KR20220072078A - Method for providing vehicle safety service using a mobile device as a edge cloud server - Google Patents

Abstract

The present invention relates to a technology for more rapidly providing vehicle safety-related services by analyzing a vehicle state using a user's smart phone located in a vehicle as a mobile edge server.
The mobile edge-based vehicle safety service providing method using a smart phone according to the present invention is a smart phone in which sensing information collected from a vehicle sensor in an On Board Unit (OBU) installed in a vehicle is placed in the vehicle and a mobile edge application is running. A first step of transmitting, determining a vehicle accident and vehicle defect by analyzing the sensing information from a smart phone, and a second step of transmitting the sensing information and analysis information to a cloud server, a vehicle accident or vehicle defect from a smart phone in the cloud server The third step of performing vehicle rescue service by transmitting the vehicle's status information to an external terminal in real time when receiving information In the fourth step of transmitting information to the OBU (On Board Unit), when the OBU (On Board Unit) receives abnormal status information from the smartphone, the sensing information collected from the vehicle sensor is transmitted to the RSU (Road Side Unit) and RSU (Road Side Unit) provides sensing information to the cloud server, and the cloud server analyzes the sensing information and transmits the analysis information to the smart phone mounted in the vehicle. and a sixth step of providing vehicle rescue information, vehicle state information, vehicle analysis information, and vehicle accident prediction information by interworking with the cloud server based on the requested information.

Description

Method of providing vehicle safety service based on mobile edge using smart phone { METHOD FOR PROVIDING VEHICLE SAFETY SERVICE USING A MOBILE DEVICE AS A EDGE CLOUD SERVER}

The present invention relates to a technology for providing a vehicle safety-related service more quickly by analyzing a vehicle state using a user's smart phone located in a vehicle as a mobile edge server.

Recently, as various developments for future cars such as self-driving cars and smart cars that can provide intelligent services have been made, the Interest is growing. A connected car is a car that is connected to a network and provides various services. ) can communicate with

Such a connected car-based shared vehicle can exchange various information about the vehicle itself, traffic flow, and surrounding conditions, with other vehicles or things, and its function is gradually being advanced due to the spread of the Internet of Things (IoT).

Currently, many automakers are launching their own platforms using multifunctional infotainment systems and smart mobile devices. Also, recently, various services such as telematics, infotainment, advanced transportation systems, and intelligent cars are converging under the name of connected cars.

For example, it is possible for the driver to check information from an on-board unit (OBU) with a smartphone. OBU is a diagnostic system created by manufacturers for self-diagnosis of vehicles.

In addition, recent vehicles provide a collision detection function for safe driving so that a driver can prevent a traffic accident due to a collision in advance.

This vehicle service is provided through the cloud system as shown in FIG. 1 , and the OBU 10 provided in the vehicle communicates with the cloud server 30 through the RSU 20 , and the cloud server 30 communicates with each other. A vehicle service is provided using information collected from OBUs 10 of other vehicles. In particular, the cloud server 30 collects vehicle sensing information from the OBU 10 to determine a vehicle accident, and transmits the vehicle accident information to the external terminal 40 when the accident is determined to provide a vehicle rescue service.

However, the cloud system as shown in FIG. 1 has a problem in that a large number of users directly access the central server to receive services, thereby generating a lot of load and eventually causing performance degradation.

In particular, a vehicle accident is a matter directly related to human life and requires speed. However, there is a problem that it takes a lot of time for sensing information of a vehicle to be received by a cloud server, and the cloud server to analyze it and provide it to a user.

1. Korea Patent Publication No. 10-2019-0049056 (Title: Cloud-based real-time road condition information collection and verification system and method) 2. Korean Patent Laid-Open Patent No. 10-2020-0034036 (Title: Vehicle data collection diagnosis apparatus and method, and vehicle system)

Accordingly, the present invention was created in consideration of the above circumstances, and the OBU provided in the vehicle analyzes the sensing data collected from the sensor of the vehicle in a smart phone located in the vehicle to determine the vehicle accident and defect state, and When an abnormality is detected in the network or resource status, sensing data is transmitted to the cloud server through the installed road side unit (RSU) to analyze the vehicle accident and defect status, thereby providing a faster and more reliable vehicle safety service. The technical purpose is to provide a method of providing a vehicle safety service based on a mobile edge using a smart phone that enables

According to one aspect of the present invention for achieving the above object, the first step of transmitting the sensing information collected from the vehicle sensor in the OBU (On Board Unit) installed in the vehicle to the smart phone where the mobile edge application is running while being mounted in the vehicle And, the second step of analyzing the sensing information from the smart phone to determine the vehicle accident and vehicle defect, and transmitting the sensing information and the analysis information to the cloud server, the external terminal when receiving the vehicle accident or vehicle defect information from the smart phone in the cloud server In the third stage of performing vehicle rescue service by transmitting the vehicle's status information in real time to the In the fourth step of transmitting to the Board Unit), when abnormal status information is received from the smartphone in the OBU (On Board Unit), the sensing information collected from the vehicle sensor is transmitted to the RSU (Road Side Unit) and RSU (Road Side Unit) 5th step of providing sensing information to the cloud server through Providing a mobile edge-based vehicle safety service using a smart phone, characterized in that it comprises a sixth step of providing vehicle rescue information, vehicle state information, vehicle analysis information, and vehicle accident prediction information in conjunction with a cloud server A method is provided.

In addition, in the second step, when it is determined that a vehicle accident has occurred, the smart phone transmits vehicle accident information to another smart phone running a mobile edge application mounted on a nearby vehicle. A method of providing a safety service is provided.

In addition, the smart phone provides a method of providing a vehicle safety service based on a mobile edge using a smart phone, characterized in that when receiving vehicle accident information from another smart phone of a nearby vehicle, the smart phone outputs the corresponding surrounding vehicle accident notification information.

In addition, when the OBU (On Board Unit) counts the network delay time with the smart phone and exceeds the preset reference delay time, the sensing information collected from the vehicle sensor is transmitted to the RSU (Road Side Unit) to perform the fifth step. There is provided a method of providing a vehicle safety service based on a mobile edge using a smart phone, characterized in that it is configured to perform.

In addition, as for the vehicle rescue information, the safety-related service includes the accident vehicle list and accident vehicle information, [accident vehicle list] showing the accident progress status by vehicle, [accident vehicle location] displaying the location of the accident vehicle on the map, and rescue vehicle list and rescue vehicle information, [rescue vehicle list] showing the progress status of dispatch/standby of rescue vehicles by vehicle, and [rescue vehicle location] information that displays the location of rescue vehicles on a map, wherein the vehicle status information is vehicle rescue Information, [Accident Vehicle List] showing the list of accident vehicles, [Normal Vehicle List] showing the vehicle list of the normal vehicle, [Vehicle Information] showing the information of the accident/normal vehicle, and the detailed sensor status of the accident/normal vehicle [vehicle condition monitoring] information is included, and the vehicle analysis information is a [dashboard] showing the analysis results of information collected from individual vehicles, [analysis by sensor] showing the analysis results of the data collected by each sensor, and by vehicle type [Analysis by vehicle type] showing the analysis result of the data classified as [Analysis by vehicle type] and [Analysis by accident type] information showing the analysis result of the data classified by accident type, and the accident prediction information shows the probability of occurrence of an accident by preset accident type There is provided a method of providing a vehicle safety service based on a mobile edge using a smart phone, characterized in that it includes the [accident occurrence prediction] information.

According to the present invention, the OBU provided in the vehicle transmits the sensing information collected from the sensor of the vehicle to the smart phone located in the vehicle, and determines the accident and defect state of the vehicle through the smart phone, so that the accident and defect state of the vehicle is more It can be provided to users quickly.

In addition, when an abnormality is detected in the smartphone, the sensing data is transmitted to the cloud server through the installed road side unit (RSU) to analyze the vehicle accident and defect status, thereby minimizing the omission of vehicle sensing data due to the abnormal condition. It is possible to provide a vehicle safety service more reliably.

1 is a diagram illustrating a cloud system for providing a conventional vehicle service.
2 is a view showing a schematic configuration of a mobile edge-based vehicle safety service system using a smart phone to which the present invention is applied.
3 is a block diagram showing the functionally separated internal configuration of the OBU 100 shown in FIG.
Figure 4 is a block diagram showing the functional separation of the internal configuration of the smart phone 200 shown in Figure 2;
5 is a flowchart illustrating a mobile edge-based vehicle safety service method using a smart phone according to the present invention.
6 to 9 are diagrams illustrating a vehicle safety service screen provided to a user in the present invention.

The configuration shown in the embodiments and drawings described in the present invention is only a preferred embodiment of the present invention, and does not express all the technical ideas of the present invention, so the scope of the present invention is the embodiment and drawings described in the text should not be construed as being limited by That is, since the embodiment may have various changes and may have various forms, it should be understood that the scope of the present invention includes equivalents capable of realizing the technical idea. In addition, since the object or effect presented in the present invention does not mean that a specific embodiment should include all of them or only such effects, it should not be understood that the scope of the present invention is limited thereby.

All terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which the present invention belongs, unless otherwise defined. Terms defined in general used in the dictionary should be interpreted as having the meaning consistent with the context of the related art, and cannot be interpreted as having an ideal or excessively formal meaning not explicitly defined in the present invention.

2 is a diagram illustrating a schematic configuration of a mobile edge-based vehicle safety service system using a smart phone to which the present invention is applied.

2, the mobile edge-based vehicle safety service system using a smart phone to which the present invention is applied is an OBU (On Board Unit) 100 installed in a vehicle, a smart phone 200 located in the vehicle, and a cloud server (300).

The OBD 100 collects various sensing information from sensors installed in the vehicle, and transmits the collected sensing information to the smart phone 200 .

In addition, the OBD 100 may provide sensing information to the cloud server 300 through a Road Side Unit (RSU) 20 .

The smart phone 200 is located in a vehicle and performs a mobile edge server function according to the present invention, and it determines whether a vehicle accident or defect exists by analyzing the sensing information received from the OBD 100 . Then, the analysis result information and the sensing information are transmitted to the cloud server 300 .

In addition, the smart phone 200 monitors its own wireless network status and also monitors its own resource status. In this case, the resources monitored by the smart phone 200 include battery charge amount and temperature, memory usage, CPU frequency, CPU usage, and communication signal strength.

In addition, the smart phone 200 transmits sensing information and analysis information to the surrounding smart phone 200 ′. The surrounding smart phone 200 ′ is a terminal that performs a mobile edge server function located in another vehicle located in the vicinity of the corresponding vehicle.

The cloud server 300 provides safety-related services for the corresponding vehicle using vehicle analysis information and vehicle sensing information applied from the smart phone 200 or the RSU 20 . The vehicle safety-related services include an accident rescue service, a vehicle management service, a vehicle analysis service, and an accident prediction service.

In addition, the cloud server 300 transmits the vehicle structure information including the vehicle location and the current vehicle state information to the external terminal 40 related to the vehicle structure upon receiving the vehicle accident and combined information to dispatch a tow truck, dispatch an ambulance, Enables vehicle rescue services such as fire trucks to be dispatched in real time.

FIG. 3 is a block diagram showing the functionally separated internal configuration of the OBU 100 shown in FIG. 2 .

Referring to FIG. 3 , the OBU 100 includes a data collection unit 110 , an OBU communication unit 120 , an OBU memory 130 , and an OBU control unit 140 .

The data collection unit 110 collects various sensing information from the vehicle sensors S ₁ to S _N . Sensing information collected from vehicle sensors (S ₁ ~S _N ) includes acceleration sensor values (roll, pitch, yaw), catalyst temperature, DPT temperature, coolant temperature, transmission temperature, intake air temperature, exhaust gas temperature, and throttle valve opening. Includes weight, engine RPM, fuel rail pressure, horsepower, tire pressure, gas leak, fire, and intake air temperature.

The OBU communication unit 120 performs wireless communication with the smart phone 200 and the RSU 20 and may use different types of communication networks.

The OBU memory 130 temporarily stores the sensing information collected from the collection unit 110 for a predetermined period of time as well as storing OBU reference information related to the vehicle safety service. The vehicle safety service-related reference information is information for changing a target to which sensing information is transmitted, and includes a network delay reference time.

The OBU control unit 140 transmits the sensing information collected from the vehicle sensors S ₁ to S _N in the reference mode to the smart phone 200 in a predetermined time unit.

In addition, the OBU control unit 140 determines a preset mode condition, and when the abnormal mode is changed, the OBU control unit 140 transmits the sensing information collected from the vehicle sensors S ₁ to S _N to the RSU 20 .

In addition, the OBU 100 is configured to further include an OBU information input/output unit 150 , and the vehicle rescue service according to the present invention may be provided through the OBU information input/output unit 150 . In this case, the OBU information input/output unit 150 is configured in the form of a touch panel, and may display and output vehicle rescue information through a display disposed inside the vehicle.

4 is a block diagram showing the functional separation of the internal configuration of the smart phone 200 shown in FIG.

Referring to FIG. 4 , the smart phone 200 includes a communication means 210 , a smart phone information input/output unit 220 , a smart phone memory 230 , and a smart phone control unit 240 .

The communication means 210 includes a first communication unit that communicates with the OBU 100 , a second communication unit that communicates with the cloud server 300 , and a third communication unit that communicates with the surrounding smart phone 200 ′, and communicates with different devices. It can communicate using different communication networks.

The smartphone information input/output unit 220 is a means for receiving information for a user to receive a service according to the present invention and displaying and outputting a service screen. may be provided in the form. The output means displays and outputs various screen information for a vehicle rescue service, a vehicle management service, a vehicle analysis service, and an accident prediction service.

The smartphone memory 230 stores the mobile edge reference information related to the vehicle safety service and also stores information for providing the vehicle safety service to the user by interworking with the cloud server 300 .

The smart phone control unit 240 stores, analyzes, trains, and communicates the sensing information received from the OBU 100 to determine the types of accidents and defects, and accumulates data related thereto to increase the accuracy of selecting the types of accidents and defects. In this case, an accident refers to a situation in which a physical shock such as a collision, flooding, or fire is applied, and a defect refers to a combination of the vehicle itself such as oil leakage and a decrease in tire air pressure. For example, when the gas outflow value exceeds the threshold value or the vehicle internal temperature value exceeds the threshold value, it may be determined as a vehicle accident.

In addition, the smartphone control unit 240 provides a vehicle rescue service, a vehicle management service, a vehicle analysis service, and an accident prediction service to the user in conjunction with the cloud server 300 .

In addition, the smart phone control unit 240 counts the network delay time and, when the preset delay reference time is exceeded, transmits network abnormality information to the OBU 100 .

In addition, the smart phone control unit 240 monitors the current resource status including CPU usage, and when it exceeds a preset reference amount, transmits resource abnormality information to the OBU 100 .

Next, a mobile edge-based vehicle safety service method using a smart phone according to the present invention will be described with reference to FIGS. 5 to 9 . 5 is a flowchart illustrating a mobile edge-based vehicle safety service method using a smart phone according to the present invention, and FIGS. 6 to 9 are diagrams illustrating a vehicle safety service screen provided to a user in the present invention.

First, the mobile edge application for providing vehicle safety service according to the present invention is installed in the user's smart phone 200, and the user's smart phone 200 operates as a mobile edge server according to the execution of the application.

Referring to FIG. 5 , a user mounts a smart phone 200 in a vehicle and executes a mobile edge application installed in the smart phone 200 . Accordingly, the user's smart phone 200 operates as a mobile edge server, and performs communication connection with the vehicle OBU 100 and the cloud server 300 . At this time, the OBU 100 is set to the basic mode when the vehicle is started.

In the above state, the OBU 100 collects sensing information from the vehicle sensors S ₁ to S _N and transmits the collected sensing information to the smart phone 200 in which the mobile edge application is running (ST110, ST120). .

The smart phone 200 analyzes the sensing information to determine the accident and defect state, and transmits the analysis information and the sensing information to the cloud server 300 (ST130 and ST140). In this case, the analysis information includes vehicle accident and defect information. Then, the cloud server 300 transmits the vehicle accident and defect information to the external terminal 40 related to the vehicle safety service in real time upon receiving the vehicle accident and defect information so that the vehicle accident and combination service can be provided.

In addition, the smart phone 200 wirelessly transmits vehicle accident or defect information to the surrounding smart phone 200 ′ in a broadcasting manner in case of a vehicle accident or defect in step ST130 and notifies surrounding vehicles (ST150). At this time, the surrounding smart phone 200' notifies the accident or defect information about the vehicle. That is, when the present smart phone 200 also receives surrounding vehicle accident or defect information from the surrounding smart phone 200 ′, it performs alarm processing. Notification of nearby vehicle accident or defect information may be made through a smart phone or may be transmitted from a smart phone to the corresponding vehicle OBU through the OBU.

In addition, the smart phone 200 monitors its own resource state to determine whether a preset abnormal state condition is satisfied, and if the abnormal state condition is satisfied, it transmits abnormal state information to the OBU 100 (ST160, ST170). At this time, the abnormal state condition is set such that at least one of a battery charge amount, internal temperature, memory usage, CPU frequency, CPU usage, and communication signal strength exceeds a preset threshold value, or a network delay time exceeds a predetermined time.

On the other hand, when the OBU 100 receives the abnormal state information from the smart phone 200 , it sets the operation mode to the abnormal mode, and transmits the sensing information collected from the vehicle sensors S ₁ to S _N to the RSU 20 . do (ST180).

At this time, the RSU 20 transmits the sensing information collected from the OBU 100 to the cloud server 300 , and transmits the analysis result information on the sensing information in the cloud server 300 to the corresponding smart phone 200 ( ST190, ST200).

In addition, the OBU 100 monitors the network delay state with the smart phone 200 in the basic mode, and when the network delay time with the smart phone 200 exceeds the reference delay time, it switches to the abnormal mode and The operations of ST180 to ST200 may be performed.

The above-described operations ST110 to ST200 are repeatedly performed until starting of the vehicle is terminated.

On the other hand, when the user's vehicle service request information is input to the smart phone 200 (ST210), the smart phone 200 works with the cloud server 300 to display and output the vehicle safety service information according to the present invention (ST220, ST230).

The vehicle safety service according to the present invention includes a vehicle rescue service, a vehicle management service, a vehicle analysis service, and an accident prediction service, and FIGS. 6 to 9 each illustrate screens of a vehicle rescue service, a vehicle management service, and a vehicle analysis service it is one drawing

Referring to Figure 6, the vehicle rescue service screen shows the accident vehicle list and accident vehicle information, [accident vehicle list] showing the accident progress status by vehicle, [accident vehicle location] displaying the location of the accident vehicle on the map, and rescue vehicle list and rescue vehicle information, [rescue vehicle list] showing the progress of dispatch/standby of rescue vehicles by vehicle, and [rescue vehicle location] information that displays the location of rescue vehicles on the map.

Referring to Figure 7, the vehicle management service screen shows [accident vehicle list] showing a list of accident vehicles (car model, vehicle number), [normal vehicle list] showing a list of normal vehicles (vehicle model, vehicle number), accident/normal It includes [vehicle information] showing vehicle information and [vehicle condition monitoring] information showing detailed sensor status of accident/normal vehicle. In this case, the [Vehicle Information] item can be checked by rotating the exterior of the 3D modeled vehicle, and detailed sensing information such as collision/overturn/engine abnormality/tire abnormality/fuel leakage/fire/fuel shortage can be checked.

Referring to FIG. 8, the vehicle analysis service screen shows [Home (dashboard)] showing the analysis results of information collected from individual vehicles, [Analysis by sensor] showing the analysis results of data collected by each sensor, and classifies by vehicle type [Analysis by vehicle type], which shows the analysis results of the collected data, and [Analysis by accident type] information, which shows the analysis results of data classified by accident type.

Referring to FIG. 9 , the vehicle accident prediction service screen includes [accident occurrence prediction] information showing the probability of occurrence of each preset accident type (collision/overturn/engine abnormal/low pressure/gas shortage/fire, etc.). In this case, the vehicle accident prediction analysis extracts accident data by date for a certain period, for example, 30 days from the present, and obtains accident prediction results for each type using the ARIMA (ARIMA) algorithm.

10, 100: OBU (On Board Unit), 20: RSU (Road Side Unit),
30, 300: cloud server, 40: external terminal,
200, 200' : Smartphone,
110: data collection unit, 120: OBU communication unit,
130: OBU information input/output unit, 140: OBU memory,
150: OBU control unit, 210: communication means,
220: smartphone information input/output unit, 230: smartphone memory,
240: smartphone control unit.

Claims (5)

A first step of transmitting the sensing information collected from the vehicle sensor in the OBU (On Board Unit) installed in the vehicle to the smart phone where the mobile edge application is running while being mounted in the vehicle;
A second step of analyzing the sensing information from the smart phone to determine a vehicle accident and vehicle defect, and transmitting the sensing information and analysis information to the cloud server;
A third step of performing a vehicle rescue service by transmitting the state information of the vehicle to an external terminal in real time when receiving vehicle accident or vehicle defect information from a smart phone in the cloud server;
A fourth step of monitoring the resource status including network delay time and CPU usage in the smart phone and transmitting abnormal status information to OBU (On Board Unit) when it exceeds a preset reference value;
When abnormal status information is received from the smartphone in the OBU (On Board Unit), the sensing information collected from the vehicle sensor is transmitted to the RSU (Road Side Unit) and the sensing information is provided to the cloud server through the RSU (Road Side Unit). , a fifth step of analyzing the sensing information in the cloud server and transmitting the analysis information to the smart phone mounted in the vehicle;
A sixth step of providing vehicle rescue information, vehicle state information, vehicle analysis information, and vehicle accident prediction information by interworking with the cloud server based on the user's vehicle safety service request information from the smart phone A method of providing vehicle safety service based on mobile edge using a smart phone.
The method of claim 1,
In the second step, when it is determined that a vehicle accident has occurred, the smart phone transmits vehicle accident information to another smart phone running a mobile edge application mounted on a nearby vehicle. How to provide.
3. The method of claim 2,
The smart phone is a method of providing a vehicle safety service based on a mobile edge using a smart phone, characterized in that when receiving vehicle accident information from another smart phone of a nearby vehicle, outputting the corresponding surrounding vehicle accident notification information.
The method of claim 1,
When the OBU (On Board Unit) counts the network delay time with the smart phone and exceeds a preset reference delay time, the sensing information collected from the vehicle sensor is transmitted to the RSU (Road Side Unit) to perform the fifth step. A method of providing a vehicle safety service based on a mobile edge using a smart phone, characterized in that it is configured.
The method of claim 1,
The vehicle rescue information includes a list of accident vehicles, accident vehicle information, [accident vehicle list] showing the accident progress by vehicle, [accident vehicle location] displaying the location of the accident vehicle on a map, and rescue vehicle list and rescue Includes vehicle information, [rescue vehicle list] showing the progress of dispatch/standby of rescue vehicles by vehicle, and [rescue vehicle location] information that displays the location of rescue vehicles on the map,
The vehicle status information includes vehicle rescue information, [accident vehicle list] showing the list of accident vehicles, [normal vehicle list] showing the vehicle list of normal vehicles, [vehicle information] showing information of the accident/normal vehicle, accident/ Includes [vehicle condition monitoring] information that shows the detailed sensor status of a normal vehicle,
The vehicle analysis information includes [Dashboard] showing the analysis result of information collected from individual vehicles, [Analysis by sensor] showing the analysis result of data collected by each sensor, and [Vehicle] showing the analysis result of data classified by vehicle type Analysis by type] and [Analysis by accident type] information that shows the analysis results of data classified by accident type,
The accident prediction information is a mobile edge-based vehicle safety service providing method using a smart phone, characterized in that it includes [accident occurrence prediction] information showing the probability of occurrence of each accident type preset.

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