KR102646295B1 - Analyzing method of vehicle communication network and apparatus thereof - Google Patents

Abstract

Embodiments of the present invention relate to a method and apparatus for analyzing a vehicle communication network. The method for analyzing a vehicle communication network according to an embodiment of the present invention includes data generated before an event by a device to be confirmed occurs. Extracting at least one device identifier from each of a first log file and a second log file generated after an event by the device to be confirmed occurs; And comparing the device identifier extracted from the first log file and the device identifier extracted from the second log file, and determining the device identifier extracted only from the second log file as the identifier of the device to be confirmed. . According to embodiments of the present invention, device identifiers of devices in a vehicle can be confirmed through a simple comparative analysis method.

Description

Analyzing method of vehicle communication network and apparatus thereof}

Embodiments of the present invention relate to a method and apparatus for analyzing a vehicle communication network.

In the past, automobile manufacturers used point to point wiring systems to connect electronic devices within vehicles. However, as more and more electronic devices are installed in vehicles, wiring harnesses not only take up space, but are also heavy and expensive.

Meanwhile, CAN (Controller Area Network) is a high-integrity serial bus system for building intelligent device networks and has emerged as a standard for automotive networks. In a CAN network, all nodes can start transmitting messages as soon as the bus becomes free, so it is possible for multiple nodes to start transmitting processing at the same time. To prevent data transmitted simultaneously from each node from being interfered with, the message with the highest priority among all messages that are simultaneously arbitrated is determined in the arbitration phase. CAN provides an economical and reliable network that allows multiple devices to communicate with each other.

Meanwhile, in order to provide various services using various devices within the vehicle, interworking with the CAN network is necessary. However, because device identifiers are different for each vehicle manufacturer, there are limits to technology development using each device identifier information.

Domestic registered patent No. 10-1393539 (automotive integrated network system)

Embodiments of the present invention provide a method for confirming a device identifier by analyzing a data frame generated in a CAN network within a vehicle.

The automotive communication network analysis method according to an embodiment of the present invention includes a first log file generated before an event by a device to be confirmed occurs and a second log file generated after an event by the device to be confirmed occurs. extracting at least one device identifier from each; And comparing the device identifier extracted from the first log file and the device identifier extracted from the second log file, and determining the device identifier extracted only from the second log file as the identifier of the device to be confirmed. .

In one embodiment, the method obtains at least one data frame transmitted on a CAN (Controller Area Network) network in a first time period before an event by the device to be confirmed occurs and provides the first log file. generating step; And generating the second log file by obtaining at least one data frame transmitted on the CAN network in a second time period that includes an occurrence point of the event by the device to be confirmed and does not overlap with the first time period. It may further include.

In one embodiment, the step of determining the identifier of the device to be confirmed includes receiving the number of times an event has occurred by the device to be confirmed; calculating the number of extractions of device identifiers extracted only from the second log file; And when the number of occurrences of the event and the number of extractions are the same, determining a device identifier extracted only from the second log file as the identifier of the device to be confirmed.

In one embodiment, the step of determining the identifier of the device to be confirmed includes, when there are a plurality of device identifiers extracted only from the second log file, a device identifier in which the number of extractions of the corresponding device identifier is the same as the number of times the event occurred. It may include determining the identifier of the device to be confirmed.

An automobile communication network analysis device according to an embodiment of the present invention includes a processor and a memory, and instructions for confirming the identifier of the device are stored in the memory. When the instructions are executed by the processor, the processor Extract at least one device identifier from each of a first log file generated before an event by the device to be confirmed occurs and a second log file generated after an event by the device to be confirmed occurs, and It includes instructions for comparing the device identifier extracted from the first log file and the device identifier extracted from the second log file, and determining the device identifier extracted only from the second log file as the identifier of the device to be confirmed.

In one embodiment, the commands obtain at least one data frame transmitted on a CAN (Controller Area Network) network in a first time period before an event by the device to be confirmed occurs and provide the first log file. generating the second log file by obtaining at least one data frame transmitted on the CAN network in a second time period that includes the time of occurrence of the event by the device to be confirmed and that does not overlap the first time period; It may contain commands to do so.

In one embodiment, the commands receive the number of occurrences of an event by the device to be confirmed, calculate the number of extractions of the device identifier extracted only from the second log file, and calculate the number of times the event occurred and the number of extractions. In the same case, instructions may be included to determine the device identifier extracted only from the second log file as the identifier of the device to be confirmed.

In one embodiment, the commands determine, when there are a plurality of device identifiers extracted only from the second log file, a device identifier in which the number of extractions of the corresponding device identifier is the same as the number of times the event occurred as the identifier of the device to be confirmed. It may contain commands that:

A computer-readable recording medium according to an embodiment of the present invention includes a first log file generated before an event by a device to be confirmed occurs and a second log created after an event by the device to be confirmed occurs. extracting at least one device identifier from each file; And comparing the device identifier extracted from the first log file and the device identifier extracted from the second log file, and performing a step of determining the device identifier extracted only from the second log file as the identifier of the device to be confirmed. The program for this is recorded.

According to embodiments of the present invention, device identifiers of devices in a vehicle can be confirmed through a simple comparative analysis method.

According to embodiments of the present invention, in-vehicle devices (e.g., driver information system (DIS), voice recognition system, front detection radar, infrared camera, electronic braking system (ESP), electronic steering system, rear surveillance camera, curtain Data can be managed by integrating devices such as airbags, lane departure warning cameras, etc.

1 is an example diagram illustrating a CAN network to which embodiments of the present invention are applied;
Figures 2(a) and 2(b) are illustrations for explaining a method for analyzing a vehicle communication network according to an embodiment of the present invention.
Figure 3 is an example diagram to explain the data frame structure used in a CAN network;
4 is a flowchart illustrating a method for analyzing a vehicle communication network according to an embodiment of the present invention;
5 is a flowchart illustrating a method of analyzing a vehicle communication network according to another embodiment of the present invention;
Figure 6 is an example diagram for explaining the results of automobile network analysis according to an embodiment of the present invention;
Figure 7 is a block diagram illustrating an automobile communication network analysis device according to an embodiment of the present invention.

Hereinafter, in describing embodiments of the present invention, if a detailed description of a related known function or configuration is judged to unnecessarily obscure the gist of the present invention, the detailed description will be omitted.

Hereinafter, embodiments of the present invention will be described with reference to the accompanying drawings.

Figure 1 is an example diagram for explaining a CAN network to which embodiments of the present invention are applied.

In the CAN network, each node, that is, the devices 10a, 10b, 10c, 10d, and 10e, are connected to each other through a bus. Each device (10a, 10b, 10c, 10d, 10e) can start transmitting a data frame (message) at any time when the bus becomes free. Because CAN data frames do not include a destination address, a data frame transmitted from one device can be delivered to all devices present in the CAN network. For example, a data frame transmitted from device 10a may be delivered to devices 10b, 10c, 10d, and 10e.

The automotive communication network analysis device 100 according to an embodiment of the present invention may be connected to a bus. The automotive communication network analysis device 100 may continuously receive data frames transmitted by each device 10a, 10b, 10c, 10d, and 10e through a bus and generate log data. In the log data, the transmission point of the data frame and the device identifier of the device that transmitted the data frame may be recorded, and these may be recorded separately from each other using a space character, etc.

The automotive communication network analysis device 100 according to an embodiment of the present invention can check the device identifier of a specific device based on log data.

For example, let's assume a situation where an event occurs due to a specific device (hereinafter referred to as confirmation target device) whose device identifier is to be confirmed. In this case, the automotive communication network analysis device 100 includes log data (hereinafter referred to as first log file) written before an event by the device to be confirmed occurs, and log data written after the event by the device to be confirmed occurs. (hereinafter referred to as the second log file), the device identifier that exists only in the second log file may be determined as the device identifier of the device to be confirmed. Let's look at this with reference to Figure 2 (a) and Figure 2 (b).

Figures 2(a) and 2(b) are exemplary diagrams for explaining a method for analyzing a vehicle communication network according to an embodiment of the present invention.

Figure 2(a) shows a first log file created before an event by a device to be confirmed occurs, and Figure 2(b) shows a second log file created after an event by a device to be confirmed occurs.

Referring to Figure 2 (a) and Figure 2 (b), among the device identifiers (10438036x, 10438038x, 10438040x) existing in the second log file, device identifiers (10438036x, 10438028x) also exist in the first log file. However, it can be seen that the device identifier (10438040x) does not exist in the first log file. Therefore, the device identifier (10438040x) corresponds to the device to be confirmed that generated the event.

Figure 3 is an example diagram to explain the data frame structure used in a CAN network.

The SOF (start of frame) field indicates the start of the frame.

The arbitration field identifies the message (data frame) and indicates the priority of the message. The arbitration field may consist of 11 bits or 29 bits.

The RTR (remote transmission request) field distinguishes between remote frames and data frames.

The IDE (identifier extension) field distinguishes between standard frames and extended frames.

The DLC (data length code) field indicates the number of bytes of the data field.

The data field contains data and consists of 0 to 8 bytes.

The CRC (cyclic redundancy check) field is used for error detection.

The ACK (acknowledgement) field indicates that the message was correctly received.

The EOF (end of frame) field indicates the end of the frame.

Figure 4 is a flowchart illustrating a method for analyzing a vehicle communication network according to an embodiment of the present invention. Depending on the embodiment, at least one of the steps shown in FIG. 4 may be omitted.

In step 401, the automotive communication network analysis device may acquire at least one data frame transmitted on the CAN network in a first time period before an event by the device to be confirmed occurs. The automotive communication network analysis device may generate a first log file based on the acquired data frames. The first log file may include the transmission point of the data frame and the device identifier of the device that transmitted the data frame.

In step 403, the automotive communication network analysis device may confirm that an event has occurred by the device to be confirmed. For example, an automobile communication network analysis device may receive an input from a user indicating that an event has occurred by a device to be confirmed.

In step 405, the automotive communication network analysis device may acquire at least one data frame transmitted on the CAN network in a second time period including the time of occurrence of the event by the device to be confirmed. The automobile communication network analysis device may generate a second log file using the acquired data frames. Here, the second time section may be a time section that does not overlap with the first time section.

In step 407, the automotive communication network analysis apparatus may extract at least one device identifier from each of the first log file and the second log file. Since the first log file and the second log file separately record the transmission time and device identifier of the data frame, the device identifier can be extracted according to a set method. For example, the third string of each line in each log file may correspond to the device identifier. In this case, the automotive communication network analysis device can extract the third string of each line existing in each log file as a device identifier.

In step 409, the automotive communication network analysis device compares the device identifier(s) extracted from the first log file and the device identifier(s) extracted from the second log file to determine the device extracted only from the second log file. The identifier can be determined as the identifier of the device to be confirmed.

Figure 5 is a flowchart illustrating a method for analyzing a vehicle communication network according to another embodiment of the present invention. Depending on the embodiment, at least one of the steps shown in FIG. 5 may be omitted. In the description with reference to FIG. 5, descriptions overlapping with FIG. 4 will be omitted.

In step 501, the automotive communication network analysis device may acquire at least one data frame transmitted on the CAN network in a first time period before an event by the device to be confirmed occurs. The automotive communication network analysis device may generate a first log file based on the acquired data frames.

In step 503, the automotive communication network analysis device may confirm that an event has occurred by the device to be confirmed. For example, an automobile communication network analysis device may receive an input from a user indicating that an event has occurred by a device to be confirmed.

In step 505, the automotive communication network analysis device may receive the number of occurrences of an event by the device to be confirmed. The number of event occurrences can be entered by the user.

In step 507, the automotive communication network analysis device may acquire at least one data frame transmitted on the CAN network in a second time period including the time of occurrence of the event by the device to be confirmed. The automobile communication network analysis device may generate a second log file based on the acquired data frames.

In step 509, the automotive communication network analysis apparatus may extract at least one device identifier from each of the first log file and the second log file.

In step 511, the automotive communication network analysis device compares the device identifier(s) extracted from the first log file and the device identifier(s) extracted from the second log file to determine the device extracted only from the second log file. You can check the identifier. The automotive communication network analysis device may calculate the number of times a device identifier extracted only from the second log file was extracted from the second log file.

In step 513, the automotive communication network analysis device may determine the device identifier as the device identifier of the device to be confirmed when the input event occurrence count and extraction count are the same.

For example, if the number of input event occurrences is 3 and the number of extractions of the device identifier extracted only from the second log file is 3, the automotive communication network analysis device determines the device identifier as the device identifier of the device to be confirmed. You can.

For example, assume that the device identifiers extracted only from the second log file are ID 1 and ID 2. In this case, if ID 1 has been extracted from the second log file twice and ID 2 has been extracted three times from the second log file, ID 2 can be determined as the identifier of the device to be confirmed.

Figure 6 is an example diagram for explaining the results of automobile network analysis according to an embodiment of the present invention.

Figure 6 shows a case where a vehicle's steering wheel remote control is used as a device to be checked. The first log file was created based on data frames collected for 15 minutes over the CAN network within the vehicle 15 minutes before the event occurred, and the second log file was created by performing volume up three times with the steering wheel remote control. Meanwhile, the volume up operation actually involves a button push and button release process, so a total of 6 events occur. Here, before creating the second log file, no events were generated by devices other than the steering wheel remote control.

Among the device identifiers included in the first log file and the second log file, the device identifier that exists only in the second log file was extracted and shown in FIG. 6. Referring to FIG. 6, it can be seen that a total of 6 events occurred, and all 6 events were generated by devices with a device identifier of 10438040x. This means that the device identifier of the vehicle's steering wheel remote control is 10438040x.

Embodiments of the present invention may be implemented within a computer system, for example, as a computer-readable recording medium. As shown in FIG. 7, the computer system 700 includes at least one of one or more processors 710, memory 720, storage unit 730, user interface input unit 740, and user interface output unit 750. elements, which can communicate with each other via bus 760. Additionally, computer system 900 may also include a network interface 770 for connecting to a network. The processor 710 may be a CPU or a semiconductor device that executes processing instructions stored in the memory 720 and/or storage 730. The memory 720 and storage unit 730 may include various types of volatile/non-volatile storage media. For example, memory may include ROM 724 and RAM 725.

Accordingly, embodiments of the present invention may be implemented using a computer-implemented method or a non-volatile computer recording medium storing computer-executable instructions. When executed by a processor, the instructions may perform a method according to at least one embodiment of the present invention.

Claims (9)

A method for analyzing a vehicle communication network, comprising:
Extracting at least one device identifier from each of a first log file generated before an event by a device to be confirmed occurs and a second log file generated after an event by the device to be confirmed occurs; and
Comparing the device identifier extracted from the first log file and the device identifier extracted from the second log file, and determining the device identifier extracted only from the second log file as the identifier of the device to be confirmed.
includes
The step of determining the identifier of the device to be confirmed is,
Receiving the number of times an event has occurred by the device to be confirmed;
calculating the number of extractions of device identifiers extracted only from the second log file; and
When the number of occurrences of the event and the number of extractions are the same, determining a device identifier extracted only from the second log file as the identifier of the device to be confirmed,
The step of determining the identifier of the device to be confirmed is,
When there are a plurality of device identifiers extracted only from the second log file, determining a device identifier in which the number of extractions of the corresponding device identifier is the same as the number of times the event occurred is determined as the identifier of the device to be confirmed. .
According to claim 1,
Obtaining at least one data frame transmitted on a CAN (Controller Area Network) network in a first time period before an event by the device to be confirmed occurs and generating the first log file; and
Generating the second log file by obtaining at least one data frame transmitted on the CAN network in a second time period that includes the occurrence point of the event by the device to be confirmed and does not overlap the first time period.
An automotive communication network analysis method further comprising:
delete delete An automobile communication network analysis device, comprising:
The device includes a processor and memory,
Commands for checking the device identifier are stored in the memory,
When executed by the processor, the instructions cause the processor to:
Extracting at least one device identifier from each of a first log file generated before an event by the device to be confirmed occurs and a second log file generated after an event by the device to be confirmed occurs,
Includes instructions for comparing the device identifier extracted from the first log file and the device identifier extracted from the second log file, and determining the device identifier extracted only from the second log file as the identifier of the device to be confirmed; ,
The above commands are:
Receive input of the number of times an event occurred by the device to be confirmed,
Calculate the number of extractions of the device identifier extracted only from the second log file,
When the number of occurrences of the event and the number of extractions are the same, instructions for determining a device identifier extracted only from the second log file as the identifier of the device to be confirmed,
The above commands are:
When there are a plurality of device identifiers extracted only from the second log file, automotive communication network analysis including instructions for determining a device identifier whose extraction number is the same as the number of times the event occurred as the identifier of the device to be confirmed. Device.
The method of claim 5, wherein the instructions are:
Obtaining at least one data frame transmitted on a CAN (Controller Area Network) network in a first time period before an event by the confirmation target device occurs and generating the first log file,
A command for generating the second log file by acquiring at least one data frame transmitted on the CAN network in a second time interval that includes the occurrence point of the event by the device to be confirmed and does not overlap with the first time interval. containing
Automotive communication network analysis device.
delete delete A computer-readable recording medium on which a program for performing the automobile communication network analysis method according to any one of claims 1 and 2 is recorded.

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