KR20180058196A - Method and apparatus for providing service of traffic safety based on decision layer model - Google Patents

Abstract

A method for providing a traffic safety service by dispersing a traffic safety service server and a client terminal includes: a step of receiving the sensing data of each sensor from a client terminal; a step of dividing the sensing data into at least one time slot data for each sensor, and calculating the safety scores of the at least one time slot; a step of calculating an average of the safety scores of the at least one time slot to calculate a safety score for each sensor; and a step of calculating a safety index based on the safety scores for each sensor and a weight given to each sensor. A method for providing the traffic safety service of a traffic safety service server and a method for providing the traffic safety service of a client terminal corresponding to the same are disclosed.

Description

TECHNICAL FIELD The present invention relates to a method and apparatus for providing a traffic safety service based on hierarchical decision models,

The present invention relates to a method and an apparatus for providing a traffic safety service based on a hierarchical decision model, and more particularly, to a method and an apparatus for monitoring traffic infrastructures and transportation means in real time through an Internet of Things (IoT) And a method and an apparatus for providing a traffic safety service that promptly cope with the occurrence of a traffic disaster.

Recently, the frequency of traffic accidents has been increasing with the speeding up of transportation, and the scale of damage has also increased in the event of a traffic accident. The main causes of such traffic accidents are malfunction of the vehicle, lack of safety of the transportation infrastructure, environmental factors such as fog and heavy rain, driver fatigue and driver aging. In the past, there were many difficulties in monitoring the main causes of the above-mentioned traffic accidents, so it was difficult to prevent traffic accidents or to cope with traffic accidents quickly.

However, with the recent development of communication technology, Internet of Things (IoT) has appeared. Object Internet refers to technology or environment that sends and receives data in real time through the Internet by attaching sensors to objects, and studies on applying object Internet to vehicles and transportation infrastructure have begun. The present invention proposes a technique for preventing traffic disasters including traffic accidents and quickly coping with traffic disasters by applying the Internet to vehicles and transportation infrastructure.

SUMMARY OF THE INVENTION It is an object of the present invention to provide a traffic safety service providing method of a traffic safety service server.

SUMMARY OF THE INVENTION It is an object of the present invention to provide a traffic safety service providing method of a client terminal.

Another object of the present invention is to provide a traffic safety service server.

According to another aspect of the present invention, there is provided a method for providing a traffic safety service of a traffic safety service server, the method including receiving sensed data of each sensor from a client terminal, Calculating a safety score for each sensor by calculating an average of the safety scores of at least one time slot and calculating a safety score for each sensor; And calculating the safety index based on the weights given to the respective sensors.

The method may further include generating sensing data for a virtual sensor based on sensing data of each sensor, and including sensed data for a virtual sensor in the sensing data of each sensor.

The method may further include correcting the safety index on the basis of the safety knowledge including the correlation between at least one environment parameter of the diary, season, and type of vehicle stored in advance and the safety index.

Here, the method may further include updating the safety knowledge based on the sensing data of each sensor.

The method may further include setting a threshold based on the sensing data of each sensor and the safety score of at least one time slot.

The method may further include determining whether a traffic disaster occurs based on the sensing data of each sensor and the threshold value.

If it is determined that a traffic disaster has occurred, the traffic disaster simulation is performed based on the sensing data and the threshold value of each sensor to estimate at least one of the type of traffic disaster, the damage range of the traffic disaster, As shown in FIG.

Here, the method may further include transmitting at least one of the threshold value and the safety index to the client terminal.

Here, the weight for each sensor can be determined stochastically based on traffic disaster statistics information.

According to another aspect of the present invention, there is provided a method of providing a traffic safety service of a client terminal, the method including receiving a threshold of sensing data from a traffic safety service server, receiving sensing data from at least one sensor, Detecting the occurrence of traffic disaster or precursor information based on the sensing data and the threshold value, applying different processing to the sensing data according to the detection result, and transmitting the processed data to the traffic safety service server can do.

The step of applying the different processing to the sensing data according to the detection result, and the step of transmitting the sensing data to the traffic safety service server, when the traffic disaster occurs or the preceding information is not detected, And transmitting the data.

The step of applying the different processing to the sensing data according to the detection result and processing and transmitting the sensing data to the traffic safety service server may include calculating a moving average value of the sensing data when the traffic disaster occurs or the precursor information is detected, And transmitting the average value to the traffic safety service server.

According to another aspect of the present invention, there is provided a traffic safety service server including a processor and a memory in which at least one command executed through the processor is stored, Wherein the at least one sensor is implemented to receive sensing data of each sensor from a client terminal, to divide the sensed data into at least one time slot data for each sensor, and to calculate safety scores of at least one time slot, And calculating the safety score for each sensor, and calculating the safety index based on the safety score of each sensor and the weight given to each sensor.

Here, the at least one command may be executed to generate sensing data for a virtual sensor based on sensing data of each sensor, and may be executed to include sensing data for a virtual sensor in the sensing data of each sensor.

Wherein the at least one command can be executed to correct the safety index based on safety knowledge comprising a correlation between the safety index and at least one of an environmental parameter of a pre-stored diary, a season and a type of vehicle

Here, the at least one command can be executed to update the safety knowledge based on the sensing data of each sensor.

Here, the at least one command can be executed to set a threshold based on the sensing data of each sensor and the safety score of at least one time slot.

Here, the at least one command can be executed to determine whether a traffic disaster occurs based on the sensing data and the threshold value of each sensor.

Here, at least one command performs a traffic disaster simulation based on the sensing data and the threshold value of each sensor when it is determined that a traffic disaster has occurred, so that at least one of the traffic disaster type, traffic accident disaster range, May be executed to predict at least one.

Here, the at least one command may be executed to transmit at least one of a threshold and a safety index to the client terminal.

According to the present invention, since real-time monitoring is provided through the IoT sensor, traffic disaster prevention and traffic disaster can be coped promptly.

According to the present invention, it is possible to cope with traffic disaster quickly by distributing the authority of decision-making and execution.

According to the present invention, simulation is performed by combining a plurality of IoT sensors, so that anticipated secondary damage can be prevented.

According to the present invention, it is possible to provide a more effective safety service by managing the state of the transportation means and the transportation infrastructure by time, season, and driver.

1 is a conceptual diagram illustrating a monitoring method of a traffic safety service providing apparatus according to an embodiment of the present invention.
2 is a conceptual diagram illustrating hierarchical decision making of a traffic safety service providing apparatus according to an embodiment of the present invention.
3 is a block diagram of a traffic safety service server according to an embodiment of the present invention.
4 is a block diagram illustrating an operation of a traffic safety service server according to an exemplary embodiment of the present invention.
5 is a conceptual diagram of a virtual sensor operating in a traffic safety service server according to an embodiment of the present invention.
6 is a view for explaining a method of calculating a safety score in a traffic safety service server according to an embodiment of the present invention.
7 is a block diagram of a client terminal according to an embodiment of the present invention.
8 is a flowchart illustrating a method of detecting a traffic disaster occurrence or a precursor in a client terminal according to an embodiment of the present invention.
9 is a flowchart illustrating a method of calculating a safety index in a traffic safety service server according to an embodiment of the present invention.
10 is a diagram illustrating a method of generating a threshold value in a traffic safety service server according to an embodiment of the present invention.
11 is a diagram illustrating a method of detecting a traffic disaster occurrence or a precursor in a client terminal according to an embodiment of the present invention.

While the invention is susceptible to various modifications and alternative forms, specific embodiments thereof are shown by way of example in the drawings and will herein be described in detail. It should be understood, however, that the invention is not intended to be limited to the particular embodiments, but includes all modifications, equivalents, and alternatives falling within the spirit and scope of the invention. Like reference numerals are used for like elements in describing each drawing.

The terms first, second, A, B, etc. may be used to describe various components, but the components should not be limited by the terms. The terms are used only for the purpose of distinguishing one component from another. For example, without departing from the scope of the present invention, the first component may be referred to as a second component, and similarly, the second component may also be referred to as a first component. The term "and / or" includes any combination of a plurality of related listed items or any of a plurality of related listed items.

It is to be understood that when an element is referred to as being "connected" or "connected" to another element, it may be directly connected or connected to the other element, . On the other hand, when an element is referred to as being "directly connected" or "directly connected" to another element, it should be understood that there are no other elements in between.

The terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of the invention. The singular expressions include plural expressions unless the context clearly dictates otherwise. In the present application, the terms "comprises" or "having" and the like are used to specify that there is a feature, a number, a step, an operation, an element, a component or a combination thereof described in the specification, But do not preclude the presence or addition of one or more other features, integers, steps, operations, elements, components, or combinations thereof.

Unless defined otherwise, all terms used herein, including technical or scientific terms, have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs. Terms such as those defined in commonly used dictionaries are to be interpreted as having a meaning consistent with the contextual meaning of the related art and are to be interpreted as either ideal or overly formal in the sense of the present application Do not.

Hereinafter, preferred embodiments of the present invention will be described in detail with reference to the accompanying drawings. In order to facilitate the understanding of the present invention, the same reference numerals are used for the same constituent elements in the drawings and redundant explanations for the same constituent elements are omitted. Hereinafter, preferred embodiments according to the present invention will be described in detail with reference to the accompanying drawings.

1 is a conceptual diagram illustrating a monitoring method of a traffic safety service server according to an embodiment of the present invention.

Referring to FIG. 1, a traffic safety service server 300 according to an embodiment of the present invention can monitor traffic safety by receiving IoT (Internet of Things) sensing data from a transportation means. More specifically, a transportation means including a ship, a drones, a vehicle, a train, and the like can form IoT sensing data by forming a wireless sensing network with a wireless sensing network gateway through a sensor node, And Wi-Fi, the IOT sensing data may be transmitted to the traffic safety service server 300, but the communication method is not limited thereto. Here, the sensor node may include a plurality of sensors and communication modules such as a first sensor and a second sensor, and the wireless sensing network gateway may include a communication module.

In the present invention, a traffic disaster may include a traffic accident or a traffic accident due to a defect of a transportation means or a deficiency of a transportation infrastructure, and a traffic accident may be a situation where a traffic disaster is expected to occur .

2 is a conceptual diagram illustrating hierarchical decision making of a traffic safety service providing apparatus according to an embodiment of the present invention.

Referring to FIG. 2, the traffic safety service providing apparatus according to an exemplary embodiment of the present invention may be performed through a wireless network between the traffic safety service server 300 and the client terminal 700. Here, the client terminal 700 may refer to an IoT terminal installed in the transportation means.

Specifically, the traffic safety service apparatus according to an exemplary embodiment of the present invention may include sophisticated decision making of the traffic safety service server 300 and quick decision making of the client terminal 700. Here, one traffic safety service server 300 can communicate with a plurality of client terminals, receives data from the client terminal 700, processes the data, and transmits the processed result to the client terminal 700. Therefore, The service server 300 may be referred to as an upper layer, and the client terminal 700 may be referred to as a lower layer.

The sophisticated decision of the traffic safety service server 300 can be performed as follows.

The traffic safety service server 300 can receive the IoT sensing data from the client terminal 700 and can determine the traffic safety of the transportation means on which the client terminal 700 is mounted using the received IoT sensing data. Here, the IoT sensing data may mean data on the vibration, pressure, temperature, etc. of the transportation means acquired from the IoT sensors by the client terminal 700 mounted on a transportation means such as a ship, a drone, a vehicle, It may mean data that is compressed in packet form by performing preprocessing on one IoT sensing data. In addition, the traffic safety service server 300 can use the received IoT sensing data, the big data, the data acquired offline, the safety knowledge, and the safety score, so that the traffic safety service server 300 can perform sophisticated decision- Can be performed. The safety judgment of the traffic safety service server 300 will be described later in detail with reference to FIG. The traffic safety service server 300 may transmit the IoT control message including information on the determined traffic safety to the client terminal 700 to provide traffic safety information.

The quick decision of the client terminal 700 may be performed as follows.

The client terminal 700 may obtain the IoT sensing data of the transportation means from the at least one IoT sensors as described above. The client terminal 700 can compare the obtained IoT sensing data with the previously stored threshold value and detect a traffic disaster or a traffic disaster through the comparison result. Here, the threshold value may be received from the traffic safety service server. In addition, when the client terminal 700 detects a traffic disaster or a traffic disaster, it can provide a warning or an alarm to the driver. When the client terminal 700 is connected to the control unit of the vehicle, The vehicle can be stopped or speed-reduced in real time. Therefore, unlike the above-described sophisticated decision making of the traffic safety service, the client terminal 700 can determine the traffic safety of the vehicle in real time based on the IoT sensing data and the pre-stored threshold value, have.

As described above, the traffic safety service provided by the traffic safety service providing apparatus according to the embodiment of the present invention can be distributedly performed in the traffic safety service server 300 and the client terminal 700, And execution rights are distributed, so that traffic disaster or traffic disaster precursor can be detected and responded quickly.

3 is a block diagram of a traffic safety service server according to an embodiment of the present invention.

3, a traffic safety service server according to an exemplary embodiment of the present invention may include at least one processor 310, a memory 320, and a storage 330, and may include a communication unit 340 and offline data The acquisition unit 350 may further include at least one of:

The processor 310 may execute a program command stored in the memory 320 and / or the storage device 330. The processor 310 may refer to a central processing unit (CPU), a graphics processing unit (GPU), or a dedicated processor on which the methods of the present invention are performed. The memory 320 and the storage device 330 may be constituted by a volatile storage medium and / or a non-volatile storage medium. For example, memory 320 may be comprised of read only memory (ROM) and / or random access memory (RAM).

The memory 320 may be storing at least one instruction executed by the processor 310. At least one command is a command for receiving sensing data of each sensor from a client terminal, a command for dividing the sensing data into at least one time slot data for each sensor, and calculating safety scores of at least one time slot, A command to calculate the safety score for each sensor by calculating an average of the safety scores of one time slot, and a command to calculate the safety index based on the safety score of each sensor and the weight given to each sensor.

The at least one command may include a command to generate sensing data for a virtual sensor based on sensing data of each sensor, a command to include sensing data for a virtual sensor in sensing data of each sensor, A command to correct the safety index based on a safety knowledge including a correlation between at least one environmental parameter and a safety index, a command to update the safety knowledge based on sensing data of each sensor, A command for setting a threshold based on the sensing data and the safety score of at least one time slot, a command for determining whether a traffic disaster has occurred based on the sensing data and the threshold value of each sensor, Traffic disaster simulation is performed based on sensing data and threshold values of each sensor. A command for predicting at least one of a damage range and a traffic accident impact, and an instruction to transmit at least one of a threshold value and a safety index to the client terminal.

The details of the process executed by the processor 310 according to at least one command stored in the memory 320 will be described later with reference to FIG.

The communication unit 340 may include a communication module and may communicate with the client terminal 700 through a communication module. In other words, as a result of determining whether a traffic disaster has occurred or not, the communication unit 340 transmits traffic safety information including a threshold value, a safety score, a safety index, a request for additional sensing data, and a warning message through an IoT control message To the client terminal (700), and can receive the sensing data of each sensor from the client terminal (700). Here, the communication between the communication unit 340 and the client terminal 700 may use an external commercial network such as 3G, 4G and Wi-Fi, but is not limited thereto.

The offline data acquisition unit 350 may acquire data related to traffic safety from outside. In other words, the offline data acquisition unit 350 can directly receive data that does not exist on-line, such as past repair history of the transportation means or the transportation infrastructure, It can be reflected in safety judgment.

4 is a block diagram illustrating an operation of a traffic safety service server according to an exemplary embodiment of the present invention.

The commands executed by the processor 310 of the traffic safety service server according to an embodiment of the present invention may be represented by a plurality of components classified according to functions as shown in FIG. The plurality of components include a virtual sensor generation unit 410, a detection unit 420, a sensor management unit 430, a safety knowledge generation unit 440, a safety knowledge management unit 450, a simulation unit 460, 470). Here, a plurality of components are classified according to their functions for convenience of explanation as described above, and they are not limited to names.

The virtual sensor generation unit 410 can generate sensing data of the virtual sensor and the virtual sensor according to a specific algorithm using the sensing data of each sensor received by the communication unit 340. [ A method of generating sensing data of a virtual sensor and a virtual sensor according to a specific algorithm will be described later in detail with reference to FIG. The virtual sensor generation unit 410 may provide sensing data of the generated virtual sensor and sensing data of each sensor received by the communication unit 340 to the detection unit 420 and / or the safety knowledge generation unit 440, If the specific sensing data required to generate the sensing data of the virtual sensor and the virtual sensor is insufficient in accordance with the algorithm, information on the specific sensing data that is insufficient in the sensor management unit 430 can be provided.

The detection unit 420 determines whether a traffic disaster occurs or a traffic disaster has occurred based on the sensing data of each sensor received by the communication unit 340 and the sensing data of the virtual sensor generated by the virtual sensor generation unit 410 .

More specifically, the detection unit 420 can calculate the safety score for each sensor based on the sensing data of each sensor and the sensing data of the virtual sensor. Based on the safety score for each sensor, Can be set. Here, the threshold may include a critical threshold and a critical threshold. In other words, the detection unit 420 can determine whether a traffic disaster has occurred based on the sensing data of each sensor, the sensing data of the virtual sensor, and the danger threshold value, and determine sensing data of each sensor, sensing data of the virtual sensor, Based on the threshold value, it is possible to determine whether or not a traffic accident has occurred. A method of calculating the safety score for each sensor and a method of setting a threshold value for each sensor will be described in detail with reference to FIG.

In addition, the detection unit 420 can calculate the safety index of the client terminal 700, which is a lower layer, based on the safety score of each sensor. Based on the safety knowledge of the safety information generation unit 440 described later, The environmental factor can be reflected by the correction. A method of calculating the safety index will be described later in detail with reference to FIG.

The detection unit 420 may transmit at least one of the threshold value, the safety score, and the safety index to the client terminal 700, which is a lower layer, as a result of determining whether a traffic disaster occurs or not, through the communication unit 340. In addition, the detection unit 420 may provide at least one of the threshold value, the sensing data of each sensor, and the sensing data of the virtual sensor to the simulation unit 460 when it is determined that a traffic disaster has occurred or a traffic disaster has been detected .

When the sensor management unit 430 obtains information on specific sensing data from the virtual sensor generation unit 410, the sensor management unit 430 may transmit a request for specific sensing data to the client terminal 700 as a lower layer through the communication unit 340 .

The safety knowledge generating unit 440 generates safety knowledge based on the sensing data of the virtual sensor generated by the virtual sensor generating unit 410, the sensing data of each sensor received by the communication unit 340, offline data, can do. Here, the safety knowledge may mean the correlation between the environmental parameters of the transportation means or the transportation infrastructure and the safety index. For example, the safety index of a road can be determined according to state information such as port hole presence, flatness and gradient of the road, but it can be changed according to weather season and vehicle type. In other words, although the same road conditions, small passenger cars are dangerous, but large cars can be safe, dangerous in winter, but safe in spring. Therefore, it is necessary to reflect these differences in the safety index to determine more accurate safety. As a result, the safety knowledge may mean data defining such a difference, and may be classified as a type of transportation means, a property of a transportation means, Depending on age, safety knowledge may be different for the same object. In addition, offline data may refer to data directly input by a user with a physical method, and big data may refer to data obtained using a method utilizing normal big data, but not limited thereto Do not. The safety knowledge generation unit 440 may provide the generated safety knowledge and the sensing data of each sensor acquired from the communication unit 340 to the safety knowledge management unit 450. [

The safety knowledge management unit 450 can store, update, and manage the safety knowledge generated by the safety knowledge generation unit 440, and can store and update the safety knowledge generated by the safety knowledge generation unit 440 based on the sensing data of the sensors acquired from the communication unit 340 It is possible to provide safety information suitable for the environmental element to the detection unit 420.

The simulation unit 460 simulates the traffic disaster based on the threshold value obtained from the detection unit 420, the sensing data of each sensor, and the sensing data of the virtual sensor, and predicts the type of the disaster, the extent of the disaster, . The simulation unit 460 can simulate the traffic disaster by using a normal simulation method, but the present invention is not limited thereto. In addition, the simulation unit 460 may provide a simulation result to the corresponding service generation unit 470.

Based on the simulation result of the simulation unit 460, the corresponding service creation unit 470 establishes a plan for responding to a traffic disaster such as a response capable of minimizing the damage of the traffic disaster and a countermeasure capable of preventing the traffic disaster Accordingly, the simulation result and the established plan can be transmitted to the client terminal 700, which is a lower layer, through the communication unit 340, and the simulation result and the plan established by the manager or outside of the traffic safety service server 300 . In addition, the corresponding service generation unit 470 generates different alert messages according to the type of the disaster predicted by the simulation unit 460, the damage range of the disaster, the influence of the disaster, and the like, (700).

5 is a conceptual diagram of a virtual sensor operating in a traffic safety service server according to an embodiment of the present invention.

The virtual sensor generation unit 410 of the traffic safety service server 300 according to an embodiment of the present invention generates a virtual sensor based on sensing data of each sensor acquired from the communication unit 340 through a virtual sensor engine performing a specific algorithm The sensing data of the sensor and the virtual sensor can be generated. A detailed description will be made below with reference to Fig. 5 with two examples.

5A, the virtual sensor generation unit 410 generates sensing data 511 of a temperature sensor and sensed data 512 of a humidity sensor using the virtual sensor engine 513, Lt; RTI ID = 0.0 > 514 < / RTI > Here, the virtual sensor engine 513 can perform an algorithm for temperature, humidity, and freezing. In addition, the algorithm for temperature, humidity, and freezing may be pre-set by the administrator of the traffic safety service server 300 and may be constructed based on the big data for temperature, humidity, and freezing, .

5B, the virtual sensor generating unit 410 generates the virtual sensor engine 523 from the sensing data 521 of the temperature sensor at the first position and the sensing data 522 of the temperature sensor at the second position, The sensing data 524 of the temperature sensor at the virtual third position can be generated. Here, the third position may be located between the first position and the second position, and the virtual sensor engine 523 may determine the distance between the first position, the second position, and the third position, and the distance between the first position and the second position An algorithm for extracting sensing data of a temperature sensor at a virtual third position can be performed in consideration of environmental factors of the environment. For example, if the third position is in the middle of the first position and the second position, and there is no special environmental factor between the first position and the second position, the sensing data of the temperature sensor at the first position and the sensing data at the second position It is possible to extract the intermediate value of the sensing data of the temperature sensor of the third position by the sensing data of the temperature sensor of the virtual third position.

In other words, the virtual sensor generation unit 410 can generate sensing data of various virtual sensors by using various algorithms.

6 is a view for explaining a method of calculating a safety score in a traffic safety service server according to an embodiment of the present invention.

Referring to FIG. 6, the detection unit 420 of the traffic safety service server 300 according to an embodiment of the present invention calculates three safety scores based on sensing data of each sensor acquired through the communication unit 340 can do. Here, the detection unit 420 is limited to three safety scores that can be calculated for convenience of explanation, and it is possible to calculate three or more safety scores in more detail.

The detection unit 420 can calculate the safety score for each sensor and calculate the safety score based on the previous sensing data of the sensor. In other words, the detection unit 420 can accumulate the previous sensing data of the sensor, determine the position of the newly acquired sensing data based on the accumulated sensing data, and calculate the safety score based on the position of the sensing data Can be calculated. Here, the accumulated sensing data may be in the form of a normal distribution and may be accumulated as it is according to a value, but it is not limited thereto. Also, the accumulation amount of the previous sensing data may be a recent week, a recent one year, and the like, but is not limited thereto and may be set by the administrator of the traffic safety service server 300.

Referring to FIG. 6, the detection unit 420 may accumulate previous sensing data for a specific sensor according to a sensing data value, and may be divided into three intervals according to the size of the sensing data value. Here, the three intervals may refer to a first interval in which the sensing data value is x or less, a second interval in which x is greater than or equal to y and a third interval in which the sensing data value is in excess of y, and each of the safe interval, . Also, x and y may be determined according to a specific criterion determined through an administrator of the traffic safety service server 300 or a big data analysis.

The detection unit 420 can determine which of the three intervals the sensing data of the sensor acquired from the communication unit 340 is included in, and can calculate the safety score accordingly. In other words, the detection unit 420 can calculate the safety score a if the sensing data of the sensor is included in the first section, and calculate the safety score b if the sensing data is included in the second section. In addition, the safety score c can be calculated if it is included in the third section.

For example, the sensing data obtained by the sensing unit 420 is sensing data of a temperature sensor, x is a sensing data value indicating 0 degree Celsius, y is a sensing data value meaning 10 degrees Celsius, a is 100, Assuming that b is 80 and c is 50, it is as follows. If the obtained sensing data has a sensing data value indicating 5 degrees Celsius, the detection unit 420 can calculate the safety score of 100 because it is included in the first section, and the sensing data obtained is a sensing If the data value is included in the second section, the safety score 80 can be calculated. If the obtained sensing data has a sensing data value of -15 degrees Celsius, the detection unit 420 can calculate the safety score 50 because it is included in the third section.

7 is a block diagram of a client terminal according to an embodiment of the present invention.

7, a client terminal 700 according to an embodiment of the present invention may include at least one processor 710, a memory 720, and a storage device 730, And a data acquiring unit 750. [0050]

The processor 710 may execute a program command stored in the memory 720 and / or the storage device 730. The processor 710 may refer to a central processing unit (CPU), a graphics processing unit (GPU), or a dedicated processor on which the methods according to the present invention are performed. The memory 720 and the storage device 730 may be composed of a volatile storage medium and / or a non-volatile storage medium. For example, the memory 720 may be comprised of read only memory (ROM) and / or random access memory (RAM).

The memory 720 may be storing at least one instruction executed via the processor 710. The at least one command is a command for receiving a threshold of sensing data from the traffic safety service server 300, a command for receiving sensing data from at least one sensor, sensing data, And transmitting the sensed data to the traffic safety service server 300 according to the detection result.

In addition, when at least one command does not detect the occurrence of a traffic disaster or the precursor information, it transmits the sensing data directly to the traffic safety service server 300, and when a traffic disaster occurred or precursor information is detected, And a command to transmit the moving average value to the traffic safety service server 300. [0040] FIG.

The processor 710 determines whether or not a traffic disaster occurs or whether a traffic accident has occurred from the traffic safety service server 300 in accordance with an instruction stored in the memory 720 through the communication unit 740. The processor 710 then transmits the threshold, At least one of the warning messages can be received. Here, the threshold value may be a value set based on the sensing data previously transmitted from the traffic safety service server 300 by the client terminal 700. In addition, the threshold value may be a threshold value for each sensing data of each sensor, and may be a threshold value according to a specific combination of a plurality of sensing data, but is not limited thereto. The processor 710 provides at least one of the safety score, the safety index, and the warning message to the driver of the transportation means as a result of determining whether the traffic disaster has occurred or not, and informs the driver or the like of the current situation or prediction situation .

The processor 710 may receive the sensing data from at least one sensor according to an instruction stored in the memory 720 via the sensing data acquiring unit 750. [ At least one sensor may refer to a sensor connected to the client terminal 700. Here, the connection between the client terminal and the sensor may be connected by wire, and may be connected by wireless communication, but the present invention is not limited thereto, and may mean a state in which data exchange is possible.

The processor 710 may detect the occurrence of the traffic disaster or the precursor information based on the sensing data and the threshold value according to the command stored in the memory 720. [ The processor 710 may detect a case where the sensing data of a specific sensor exceeds a threshold value of the specific sensor as a traffic disaster, and a case where a specific combination of the plurality of sensing data exceeds a corresponding threshold value as a traffic disaster But is not limited thereto. In addition, when the threshold value includes the caution threshold and the danger threshold value, the traffic disaster can be detected when the sensed data exceeds the danger threshold value, and the traffic disaster warning can be detected if the ambient threshold is exceeded .

The processor 710 may detect a traffic disaster or a traffic disaster for a predetermined time interval and may use the received sensing data for a predetermined time interval when a traffic disaster occurs or a traffic disaster is detected. Also, the received threshold value may be used for the same constant time interval. Here, the threshold value may be received from the traffic safety service server 300 once every predetermined time interval. In other words, the processor 710 can detect a traffic disaster occurrence or a precursor using at least one sensed data and a threshold value received during a predetermined time interval, and repeatedly generate traffic disasters or precursors Detection can be performed.

The processor 710 may apply different processing to the sensing data according to the detection result in accordance with the command stored in the memory 720, and may transmit the sensed data to the traffic safety service server. The processor 710 can transmit the sensing data to the traffic safety service server 300 as it is through the communication unit 740 when the traffic disaster occurrence or the traffic accident is detected. However, if the processor 710 does not detect a traffic disaster or a precursor, it may pre-process and compress the sensing data and transmit the packet to the traffic safety service server 300 through the communication unit 740 in the form of a packet.

For example, the processor 710 may calculate a representative value of the sensing data through a specific algorithm, and transmit the representative value to the traffic safety service server 300. The processor 710 may also calculate a moving average value of the sensing data and transmit the moving average value to the traffic safety service server 300. Here, the moving average value of the sensing data may mean a moving average value of at least one sensing data continuously received for a predetermined time interval. The client terminal 700 according to the embodiment of the present invention compresses and transmits the amount of data such as a representative value or a moving average value in the case where a traffic disaster or a traffic disaster has not occurred so that the amount of data to be transmitted can be reduced, It is possible to prevent the sensing net from being saturated.

The processor 710 may provide a warning or an alarm to the driver of the transportation means on which the client terminal 700 is mounted when a traffic disaster occurs or a precursor occurs according to an instruction stored in the memory 720 through the communication unit 740 , When the client terminal 700 is connected to the control unit of the transportation means, it is possible to stop the transportation means or speed down the vehicle in real time for traffic safety.

8 is a flowchart illustrating a method of detecting a traffic disaster occurrence or a precursor in a client terminal according to an embodiment of the present invention.

For convenience of explanation, it is assumed that the client terminal 700 is connected to one sensor. However, the present invention is not limited thereto, and the client terminal 700 may be connected to a plurality of sensors. In this case, it is possible to determine whether or not a traffic disaster or a precursor is generated for each sensor, It is possible to judge whether a traffic disaster occurs or a precursor occurs.

The client terminal 700 according to an embodiment of the present invention can determine whether a traffic disaster or a traffic jam occurs at a predetermined time interval. Referring to FIG. 8, a method in which the client terminal 700 determines whether a traffic disaster or a traffic jam occurs in one time interval is as follows.

8, the client terminal 700 can receive a threshold value from the traffic safety service server 300 (S810), receive at least one sensing data from at least one sensor connected to the client terminal 700 (S820). Thereafter, the client terminal 700 may calculate one sensing value according to a specific algorithm based on at least one sensing data (S830). However, the step S830 may be omitted when all the at least one sensed data is compared with the threshold value.

The client terminal 700 can compare the sensed value with the threshold value in step S840. If the sensing value exceeds the threshold value, the client terminal 700 determines that a traffic disaster occurred or a precursor has been detected, Or an alarm (S850). In addition, the client terminal 700 may transmit at least one sensed data to the traffic safety service server 300 as it is (S860).

However, if the sensing value does not exceed the threshold value, it is determined that the traffic disaster occurred or the precursor has not been detected, so that at least one sensing data can be compressed (S870). Here, compression may mean to calculate a representative value according to a specific algorithm or to calculate a moving average value for at least one sensed data value, but is not limited thereto. In addition, the client terminal 700 may transmit the compressed data to the traffic safety service server 300 (S880). If it is determined in step S830 that one sensing value has been calculated, step S870 may be omitted, and if omitted, the client terminal 700 may transmit one sensed value to the traffic safety service server 300. [

Thereafter, the client terminal 700 may again receive the threshold value from the traffic safety service server 300 (S810), and may repeatedly perform it at predetermined time intervals.

9 is a flowchart illustrating a method of calculating a safety index in a traffic safety service server according to an embodiment of the present invention.

For convenience of explanation, it is assumed that the client terminal 700 connected to the traffic safety service server 300 is connected to M sensors of a certain positive integer. Also, the traffic safety service server 300 can calculate the safety index according to a predetermined time interval, and the predetermined time interval can be determined according to the number of the slot timers.

Here, the slot timer may mean a timer for setting a predetermined time interval, and the sensing data received while the slot timer operates one time may be allocated to one slot. Also, the slot timer can be repeatedly performed as many times as the slot timer. For example, when the number of slotted timers is 2 and the slotted timer has an initial value of 10 seconds, the traffic safety service server 300 receives the sensing data from 1 second to 10 seconds by the slot timer, After the slot timer is initialized, the slot timer can receive the sensing data from 11 seconds to 20 seconds and allocate it to the second slot. Here, the unit of the slot timer can be changed according to the setting, and is not limited to the above-described second unit.

9, in the traffic safety service server 300 according to an exemplary embodiment of the present invention, a safety index may be calculated by initializing safety scores for M sensors (S905) The number of times NTs can be initialized in K circuits (S910). The slot timer Ts can also be initialized to N (S915).

After completing the initialization, the traffic safety service server 300 can receive the sensing data of the M sensors from the client terminal 700 (S920) and lower the value of the slot timer Ts by 1 (S925) . The client terminal 700 can determine whether the value of the slot timer Ts is 0 (S930). If the value is not 0, the client terminal 700 can receive the sensing data of the M sensors again (S920). If the slot timer Ts is 0, the traffic safety service server 300 repeats steps S920 and S925 until the slot timer Ts becomes zero, and the traffic safety service server 300 transmits the same number of sensing data as the initial value N of the slot timer Each sensor can be acquired. In other words, one slot may mean an interval in which the slot timer Ts operates from N to 0, and N sensing data for each sensor may be allocated to one slot.

Thereafter, the traffic safety service server 300 may calculate a safety score for one slot for each sensor (S935), and may decrease the value of the number of slotted timers NTs by one (S940). In addition, the traffic safety service server 300 can determine whether the number of times of the slot timer NTs is 0 (S945), and if not, initialize the slot timer Ts to N (S915). If the number of slotted timers NTs is 0, the traffic safety service server 300 repeats steps S915 to S940 until the number of slotted timers NTs becomes 0, Slots, and N sensing data can be assigned to each slot. In other words, the traffic safety service server 300 can acquire K slots for each sensor and acquire safety scores of K slots for each sensor.

In addition, the traffic safety service server 300 may calculate an average value for the safety scores of K slots for each sensor, and calculate an average safety score for each sensor (S950). In other words, the traffic safety service server 300 can obtain M average safety scores equal to the number of sensors. After that, the traffic safety service server 300 can calculate the safety index for the client terminal 700 based on the M average safety scores by considering the weights of the sensors according to Equation (1) (S955).

In Equation (1), SI (Safety Index) can represent a safety index, and W _j can represent a weight. Also, M can represent the number of sensors, and K can represent the number of slot timers. T _i can represent the time of the slot, and D _T can represent the total time observed to produce the safety index. Also, since SS _max can represent the maximum value of the safety score, and D _i can represent a safety score value that is reduced from the maximum value of the safety score, SS _max - D _i can represent the safety score of the slot.

Here, the weight may be the weight of the data sensed by each sensor in the occurrence of traffic disaster, and may be determined stochastically based on past traffic disaster information. For example, in the case of a vehicle, weights of 0.3, 0.5, and 0.2 can be determined for the temperature value, the vibration value, and the tire pressure value of the vehicle drive bearing, respectively.

10 is a diagram illustrating a method of generating a threshold value in a traffic safety service server according to an embodiment of the present invention.

Referring to FIG. 10, the traffic safety service server 300 according to an exemplary embodiment of the present invention can generate a threshold value based on sensing data and safety knowledge of each sensor. Here, the threshold value may include a multilevel threshold value, and the multilevel threshold value may mean a threshold value for each level or each danger level. In addition, the traffic safety service server 300 can generate a threshold value by applying a weight assigned to each piece of information.

To explain in more detail, it is assumed that a threshold value is generated based on driver information, temperature information, vehicle speed information, environment information, vibration information, and road information, as shown in Fig. Here, the temperature information, the vehicle speed information, and the vibration information may be sensing data, and the driver information, the environment information, and the road information may be safety knowledge, but the present invention is not limited thereto. The information for threshold value generation is not limited to the information listed above.

The traffic safety service server 300 can assign the weight a to the driver information including the sex and age of the driver and give the weight b to the sensing data about the temperature. In addition, the traffic safety service server 300 stores the weight c of the vehicle speed, the weight d of the environmental information such as the season, the time, and the climate, the weight e of the sensing data of the vibration, The weight f can be given.

Thereafter, the traffic safety service server 300 may generate a threshold value for vibration, temperature, and / or speed based on each weighted information. Here, the threshold value may include a threshold value that can determine the current state as a safe state, a threshold value that can be determined as a state requiring attention, and a threshold value that can be determined as a dangerous state.

11 is a diagram illustrating a method of detecting a traffic disaster occurrence or a precursor in a client terminal according to an embodiment of the present invention.

Referring to FIG. 11, the client terminal 700 according to an embodiment of the present invention can detect a traffic disaster occurrence or a precursor by time using a threshold value received from the traffic safety service server 300.

11, it is assumed that the client terminal 700 receives threshold values for vibration, temperature, and speed from the traffic safety service server 300 for each step. The client terminal 700 is connected to the vibration sensor, the temperature sensor, and the vehicle speed sensor so as to acquire sensing data for vibration, sensing data for temperature, and sensing data for the vehicle speed in real time or at regular time intervals .

 The client terminal 700 can compare the sensed data for the acquired vibration with the threshold for the received vibration and compare the sensed data for the acquired temperature with the received temperature threshold. The client terminal 700 may also compare the sensed data for the acquired vehicle speed with a threshold for the received vehicle speed.

After comparing the threshold values, the client terminal 700 can determine each item as safety, attention, and risk level for each item. Here, the client terminal 700 can perform comparison determination in real time, and can perform comparison determination at a predetermined time interval.

If any one of the items is determined to be a dangerous stage, the client terminal 700 may determine that the present state of the transportation means is dangerous. However, the method of determining the overall state of the transportation means based on the step for each item is not limited thereto.

The client terminal 700 can determine the overall state of the transportation means according to the above-described process, and can determine the overall state of the transportation means in real time when the comparison determination is performed in real time, The overall state of the transportation means can be determined at a predetermined time interval. Also, when comparing and judging in real time, the client terminal 700 may provide a current state to a user and may store previous states when performing a comparison based on a current state or a predetermined time interval. The previous states may be provided at the request of the user or at the request of the safety service server 300.

The operation of the traffic safety service providing method according to the embodiment of the present invention can be implemented as a computer readable program or code on a computer readable recording medium. A computer-readable recording medium includes all kinds of recording apparatuses in which data that can be read by a computer system is stored. The computer-readable recording medium may also be distributed and distributed in a networked computer system so that a computer-readable program or code can be stored and executed in a distributed manner.

Also, the computer-readable recording medium may include a hardware device specially configured to store and execute program instructions, such as a ROM, a RAM, a flash memory, and the like. Program instructions may include machine language code such as those produced by a compiler, as well as high-level language code that may be executed by a computer using an interpreter or the like.

While some aspects of the invention have been described in the context of an apparatus, it may also represent an explanation according to a corresponding method, wherein the block or apparatus corresponds to a feature of the method step or method step. Similarly, aspects described in the context of a method may also be represented by features of the corresponding block or item or corresponding device. Some or all of the method steps may be performed (e.g., by a microprocessor, a programmable computer or a hardware device such as an electronic circuit). In some embodiments, one or more of the most important method steps may be performed by such an apparatus.

In embodiments, a programmable logic device (e.g., a field programmable gate array) may be used to perform some or all of the functions of the methods described herein. In embodiments, the field programmable gate array may operate in conjunction with a microprocessor to perform one of the methods described herein. Generally, the methods are preferably performed by some hardware device.

It will be apparent to those skilled in the art that various modifications and variations can be made in the present invention without departing from the spirit or scope of the present invention as defined by the following claims It can be understood that

300: Traffic safety service server 700: client terminal

Claims (20)

A traffic safety service providing method of a traffic safety service server communicating with a client terminal,
Receiving sensing data of each sensor from the client terminal;
Dividing the sensing data into at least one time slot-specific data for each sensor, and calculating safety scores of the at least one time slot;
Calculating an average of the safety scores of the at least one time slot to calculate a safety score for each sensor; And
And calculating a safety index on the basis of the safety score for each sensor and the weight given to each sensor. The method according to claim 1,
Generating sensing data for a virtual sensor based on sensing data of each sensor; And
Further comprising the step of including sensing data for the virtual sensor in the sensing data of each sensor. The method according to claim 1,
Further comprising the step of correcting the safety index based on a safety knowledge comprising a correlation between at least one environmental parameter of a pre-stored diary, a season and a type of vehicle and the safety index. The method of claim 3,
Further comprising updating the safety knowledge based on sensing data of each sensor. The method according to claim 1,
Further comprising setting a threshold based on sensing data of each sensor and a safety score of the at least one time slot. The method of claim 5,
Further comprising determining whether a traffic disaster occurs based on the sensing data of each sensor and the threshold value. The method of claim 6,
A traffic disaster simulation is performed on the basis of the sensing data and the threshold value of each sensor to estimate at least one of a traffic disaster type, a damage range of a traffic disaster, and a traffic accident disaster, Further comprising the steps of: The method of claim 5,
And transmitting at least one of the threshold and the safety index to the client terminal. The method according to claim 1,
The weights according to the respective sensors may be,
A traffic safety service provision method determined stochastically based on traffic disaster statistics information. A traffic safety service providing method of a traffic safety service server and a client terminal communicating with at least one sensor,
Receiving a threshold value of sensing data from the traffic safety service server;
Receiving sensing data from the at least one sensor;
Detecting traffic disaster occurrence or precursor information based on the sensing data and the threshold value; And
Applying different processing to sensing data according to the detection result, and transmitting the processed data to the traffic safety service server. The method of claim 10,
Applying different processing to the sensing data according to the detection result, and transmitting the processed data to the traffic safety service server,
And transmitting the sensing data to the traffic safety service server as it is when traffic disaster occurrence or precursor information is not detected. The method of claim 10,
Applying different processing to the sensing data according to the detection result, and transmitting the processed data to the traffic safety service server,
Calculating a moving average value of the sensing data when the traffic disaster occurred or precursor information is detected, and transmitting the moving average value to the traffic safety service server. A processor; And
Wherein at least one instruction executed through the processor includes a memory,
Wherein the at least one instruction comprises:
And is configured to receive sensing data of each sensor from a client terminal,
Dividing the sensing data into at least one time slot-specific data for each sensor, and calculating safety scores of the at least one time slot,
Calculating an average of the safety scores of the at least one time slot to calculate a safety score for each sensor,
And a safety index is calculated based on the safety score of each sensor and the weight value assigned to each sensor. 14. The method of claim 13,
Wherein the at least one instruction comprises:
And generating sensing data for a virtual sensor on the basis of sensing data of each sensor,
And the sensing data of the virtual sensor is included in the sensing data of each sensor. 14. The method of claim 13,
Wherein the at least one instruction comprises:
Wherein the safety index is implemented to correct the safety index based on safety knowledge including a correlation between at least one environmental parameter of a pre-stored diary, a season and a type of vehicle and the safety index. 16. The method of claim 15,
Wherein the at least one instruction comprises:
And is executed to update the safety knowledge based on the sensing data of each sensor. 14. The method of claim 13,
Wherein the at least one instruction comprises:
And to set a threshold based on the sensing data of each sensor and the safety score of the at least one time slot. 18. The method of claim 17,
Wherein the at least one instruction comprises:
Wherein the traffic safety service server is configured to determine whether a traffic disaster occurs based on the sensing data of each sensor and the threshold value. 19. The method of claim 18,
Wherein the at least one instruction comprises:
If it is determined that the traffic disaster has occurred, the traffic disaster simulation is performed based on the sensing data and the threshold value of each sensor to predict at least one of the type of traffic disaster, the damage range of the traffic disaster, Traffic security service server, implemented. 18. The method of claim 17,
Wherein the at least one instruction comprises:
And transmits at least one of the threshold value and the safety index to the client terminal.

Images