KR102026455B1 - System and method for analysing can data - Google Patents

Abstract

According to the present invention, disclosed is a controller area network (CAN) data analysis system. More specifically, the present invention relates to a CAN data analysis system and method for collecting meaningful statistical information by collecting CAN data transmitted from a vehicle diagnosis device (OBD2) mounted in a vehicle through an information communication network. According to an embodiment of the present invention, in the method, CAN packets are collected from an on-vehicle data transmission module or the vehicle diagnosis device through the information communication network, a database is built through normalization and indexing procedures, and statistics for a timing interval by timeline is calculated, thereby obtaining meaningful statistical information.

Description

CAN data analysis system and method {SYSTEM AND METHOD FOR ANALYSING CAN DATA}

The present invention relates to a CAN data analysis system, and more particularly, to a CAN data analysis system and method for extracting meaningful statistical information by collecting CAN data transmitted from an on-vehicle vehicle diagnostic apparatus (OBD2).

BACKGROUND With the development of electronic device technology, vehicles are equipped with various types of electronic control units (ECUs). Modern electronic controls are not only controls that are closely related to driving, such as engine control, transmission control, ABS, active suspension, and shifting, but also the vehicle's auxiliary devices such as mirror adjusters, sunroofs, power windows, and seat adjusters. Its functionality extends to control.

Such a plurality of electronic control devices are one-way or two-way communication between the sensing unit, such as a sensor, and the controller and the operating unit, connected to each device mounted in the vehicle and a CAN (Controller Area Network) communication network as a network protocol for the vehicle. As a result, messages required for various control are transmitted.

CAN is a serial network communication method designed to be applied to the automotive industry initially. Recently, CAN is widely applied not only to the automotive field but also to the entire industry. CAN is a bus method for communication between microcontrollers and performs data communication with an electronic control unit of a vehicle, a transmission control unit (TCU), a microcontroller of ABS, and the like.

Such a CAN can exchange information between devices by connecting a plurality of devices having unique identifiers (IDs) through a single bus, and generally, a physical layer and a data link layer of the OSI 7 layer are used. Layer and Application Layer will be used. In addition, the message used in CAN does not include an address of a sender or a receiver, but includes only identifier (ID) information of a receiver. The CAN bus assigns a unique identifier to each of a plurality of nodes or a plurality of electronic devices in accordance with the CAN protocol.

As a result, the CAN communication network dramatically reduces the number of wires in the vehicle and lowers the total manufacturing cost of the vehicle by connecting multiple electronic controls to the common network bus as if connecting desktop PCs in the office. .

Patent Application Publication No. 10-1371895 (Notice date: Mar. 10, 2014)

The present invention provides a CAN data analysis system that can acquire meaningful information, such as detecting the inflow of abnormal data packets for each vehicle by collecting and analyzing CAN data for communication of an electronic control device mounted on a vehicle. There is a challenge.

In order to solve the above-mentioned problems, the CAN data analysis system according to an embodiment of the present invention, a data collection module for collecting and storing data packets from one or more vehicles in real time, parsing the stored data packets and normalizing the parsing results. The process may include a normalization engine arranged according to a plurality of field items, an index data module for converting data normalized by the normalization engine into an index file, and a data store for storing the index file.

The field item may include one or more of a time stamp, an identifier CAN_ID, a data length CAN_Length, and a data value CAN_DATA.

The data collection module may wirelessly receive the data packet from a vehicle diagnostic device (OBD2) mounted in the vehicle or a data transmission module directly connected to a CAN bus.

The vehicle diagnostic apparatus or the data transmission module may add the time stamp to the data packet and transmit the time stamp to the data collection module.

The vehicle diagnostic apparatus or the data transmission module may communicate with the data collection module through a TCP / IP protocol and add IP information to the data packet and transmit the data information to the data collection module.

The vehicle diagnostic apparatus or the data transmission module may add hardware unique number information to the data packet and transmit the hardware identification number information to the data collection module.

The normalization engine may set the time when the data collection module receives the data packet as the time stamp.

The search module may further include a search module for searching and extracting an index file stored in the data store according to a set search condition.

The analysis module may further include an analysis module that generates statistical information according to a timing interval of a predetermined unit for each identifier CAN_ID, based on the extraction result from the search module.

The web page may further include a web page providing module which is posted through an information communication network to receive the search condition from an external terminal and posts the statistical information on the web page.

The search condition may include one or more of a search period, a statistic item, a time unit, a count value (COUNT), a legend field, and a legend item.

In order to solve the above problems, the CAN data analysis method according to an embodiment of the present invention, an analysis method by the CAN data analysis system for generating statistical information by collecting data packets from at least one vehicle in real time, one or more vehicles Collecting and storing the data packet in real time, parsing the stored data packet, and disposing the parsing result according to a plurality of field items through a normalization process, and converting the normalized data into an index file by indexing the normalized data. Storing the index file, searching and extracting the stored index file according to a set search condition, and timing intervals of a predetermined unit for each identifier (CAN_ID) with respect to the extraction result. It may include the step of generating statistical information according to.

Before searching and extracting the stored index file, providing a web page for receiving the search condition, and generating the statistical information may include transmitting the statistical information to the web page. It may include.

According to an exemplary embodiment of the present invention, a CAN packet is collected from an on-vehicle data transmission module or a vehicle diagnostic apparatus through an information communication network, a database is established through normalization and indexing procedures, and time intervals are formed for each timeline by a predetermined time unit. By calculating the statistics for the Timing Interval, it is possible to obtain meaningful information.

1 is a view schematically showing an application method of a CAN data analysis system according to an embodiment of the present invention.
2 is a view showing the structure of a CAN data analysis system according to an embodiment of the present invention.
3 is a diagram illustrating a form of a normalized data packet by the CAN data analysis system according to an embodiment of the present invention.
4 is a table showing statistical information generated by the CAN data analysis system according to an embodiment of the present invention.
5 is a view showing a CAN data analysis method according to an embodiment of the present invention.

Prior to the description, when any part of the specification to "include" or "include" any component, unless otherwise stated, it may further include other components, not to exclude other components. It means to be. In addition, terms such as "unit", "... module", and "... system" described in the specification refer to a unit that processes at least one function or operation. Which may be implemented in hardware, software or a combination of hardware and software.

In addition, the term "embodiment" herein is meant to serve as an example, example or illustration, but the subject matter of the invention is not limited by such an example. In addition, "comprising", "comprising", "having" and other similar terms are used, but as used in the claims do not exclude any additional or other component as "transition word." It is used generically in a similar manner to the term Comprising.

The various techniques described herein may be implemented with hardware or software, or where appropriate, with a combination of both. As used herein, the terms "... Unit", "... module", "... System", etc., likewise refer to computer-related entities, ie hardware , A combination of hardware and software, software, or software at run time. In addition, in the present invention, each function executed in the server or the terminal may be configured in a module unit, and may be recorded in one physical memory or distributed between two or more memories and a recording medium.

Hereinafter, a CAN data analysis system and method according to an embodiment of the present invention will be described with reference to the drawings.

1 is a view schematically showing an application method of a CAN data analysis system according to an embodiment of the present invention.

Referring to FIG. 1, the CAN data analysis system 100 according to an exemplary embodiment of the present invention may be connected to a data transmission module 50 or a vehicle diagnostic apparatus mounted on each vehicle 10 through an information communication network to at least one vehicle 10. ) Can collect the CAN data packet generated in real time in real time and analyze it.

The vehicle 10 is equipped with a plurality of electronic control unit (ECU), is connected to the CAN communication network for transmitting and receiving messages between the plurality of electronic control devices, and is equipped with a data transmission module 50 that can be connected to the information communication network Can be. The data transmission module 50 may be connected to the CAN analysis system 100 through the TCP / IP protocol and transmit the messages transmitted and received in the CAN communication network to the CAN analysis system 100 as CAN data packets in real time.

In addition, a vehicle diagnostic apparatus (not shown) may be further installed in the vehicle 10, and the CAN data packet may be transmitted to the CAN analysis system 100 in place of the data transmission module 50 described above.

The vehicle diagnostic apparatus described above may be applied to the standard OBD2 method. This standard OBD2 method has the advantage that it is possible to collect common vehicle data regardless of the vehicle manufacturer and model of the vehicle, and because it is related to the exhaust gas regulation, the vehicle has a characteristic of freely collecting data compared to other communication methods. In particular, unlike other methods, the standard OBD2 method can be used without restriction because it does not damage the data of the vehicle.

The CAN data analysis system 100 analyzes a cycle of an identifier CAN_ID using a time line. The CAN data analysis system 100 periodically generates data to transmit and receive data among a plurality of electronic control devices in a vehicle. For each message, a timing interval for each CAN data ID (CAN_ID) may be analyzed.

According to the analysis result, the interval between the previously generated packet and the new packet for each identifier (CAN_ID) can be used to determine whether the transmission and reception data of each electronic control device has a certain periodicity.

To this end, the CAN data analysis system 100 according to an embodiment of the present invention receives data packets transmitted from each vehicle 10 in real time, temporarily stores them for each vehicle, and includes a normalization engine and an analysis module mounted in the system. Statistical information can be calculated through.

CAN data collected by the vehicle by the CAN data analysis system 100 includes load calculation values, malfunction codes, engine coolant temperature, engine speed, vehicle speed, and whether the indicator lights are on, absolute load values, fuel level, engine electronic control. Device system voltage, air-fuel ratio indication value, catalyst temperature, monitoring execution, running time after engine start, operating distance after igniting indicator light, running distance after erasing malfunction code, preheat cycle recovery after erasing malfunction code, atmospheric pressure, fuel control Control state, fuel correction value, fuel pressure, ignition advancement amount, intake temperature, air pressure in the intake manifold, intake flow rate, position sensor output value, secondary air supply state, oxygen sensor output, air-fuel ratio sensor output, atmospheric temperature, evaporated gas The system steam pressure, the purge valve operation indication value, the error of the indication value and the measured value of the exhaust gas recirculation device, the pedal position sensor value, and the like may be included.

The CAN data analysis system 100 receives data by communicating with each vehicle through an information communication network, in particular, a TCP / IP protocol, and can process and store a plurality of data packets at high speed without delay through an onboard analysis program. It can be implemented as a server device equipped with a microprocessor, a large memory and a storage.

Hereinafter, the structure of a CAN data analysis system 100 according to an embodiment of the present invention with reference to the drawings in detail.

2 is a view showing the structure of a CAN data analysis system according to an embodiment of the present invention.

2, the CAN data analysis system 100 according to an embodiment of the present invention, the data collection module 110 for collecting and storing data packets in real time from one or more vehicles 10, and the stored data packets A normalization engine 120 for parsing and arranging the parsing result according to a plurality of field items through a normalization process, and an index data module for converting data normalized by the normalization engine into an index file. 130, a data store 140 for storing the index file, a search module 150 for searching and extracting the index file stored in the data store 140 according to a set search condition, and a search module 150. Regarding the extracted result, the analysis module 160 generates statistical information according to a timing interval of a predetermined unit for each identifier CAN_ID, and enters a search condition connected to the web through an information communication network. It may include a web page providing module 170 for receiving and transmitting statistical information to the web.

The data collection module 110 may collect CAN data packets transmitted from the data transmission module 50 or the vehicle diagnostic device 60 mounted in the vehicle 10 in real time, and temporarily store them in a file form at a predetermined unit time. The data collection module 110 may communicate with the vehicle 10 through the TCP / IP protocol, and continuously collects data packets from each vehicle 10 at intervals of one minute as a preferable unit time.

Here, the CAN message, that is, raw data transmitted and received in the actual vehicle CAN network may have the structure of Table 1 below.

CAN_ID DATA Length DATA Byte (hex) 0x03 8 04 41 03 02 00 00 00 00

As can be seen in Table 1 above, since the general CAN message does not include the time at which the corresponding data occurred, data cannot be converted into such a state. Thus, in the embodiment of the present invention, the data transmission module 50 Alternatively, when the vehicle diagnostic apparatus 60 transmits the data packet, a time stamp may be added to the data packet for the extracted CAN message.

Alternatively, when the data collection module 110 receives the data packet of Table 1, the reception time is recorded, and the time stamp is referred to by referring to the reception time (DATA Receiver) recorded by the normalization engine 120 to be described later. ) Can be added.

An example of the structure of a data packet to which the above-described time stamp is added is shown in Table 2 below.

Time stamp CAN_ID DATA Length DATA Byte (hex) 20180620134501 0x03 8 04 41 03 02 00 00 00 00

Table 2 above shows an example in which the electronic control unit (ECU) having the identifier (CAN_ID) of '0x03' generates a message having a length of '8' on June 20, 2018 at 13:45:01 seconds. It is shown.

In addition, the data collection module 110 according to an embodiment of the present invention may receive data packets from a plurality of vehicles at the same time, in order to distinguish them by vehicle, the data transmission module 50 uses IP information used in the TCP / IP protocol Can be transmitted by adding as a unique value, or by adding hardware serial number (SN) allocated to itself. Table 3 below illustrates the structure of a data packet to which IP information is added.

IP Time stamp CAN_ID DATA Length DATA Byte (hex) 192.168.0.1 20180620134501 0x03 8 04 41 03 02 00 00 00 00

In addition, Table 4 below illustrates the structure of a data packet to which hardware unique number information is added.

SN Time stamp CAN_ID DATA Length DATA Byte (hex) 00001 20180620134501 0x03 8 04 41 03 02 00 00 00 00

The normalization engine 120 parses data according to a defined field item. Each field item and a time stamp (Time stamp) are temporarily stored in the data collection module 110 according to a regular expression. It can be parsed into a stamp, an identifier (CAN_ID), a data length (CAN_Length), and a data value (CAN_DATA).

In detail, the normalization engine 120 may perform a data parsing procedure with the regular expression expression illustrated in Table 5 below.

Regex (\ d {1,14}) \ s ([^ \ s] {1,15}) \ s ([^ \ s] {1,10}) \ s ([^ \ s] {1}) \ s ([^ \ $] {1,23}

As an example, assuming that the normalization procedure is performed on a data packet whose original data is '20180703103505 192.168.100.200 0x03 8 04 41 03 02 00 00 00 00' according to the regular expression described in Table 5, the meaning of each item is as follows. Table 6 is as follows.

Field Item Regex Field name Regex expression 20180703103505 (\ d {1,14}) Time stamp Accepts one to fourteen digit values \ s A space 192.168.100.200 ([^ \ s] {1,15}) IP or SN xxx.xxx.xxx.xxx accepts IP values, accepts unique values (serial number) up to 15 digits \ s A space 0x03 ([^ \ s] {1,10}) CAN_ID Accepts values from one digit to ten digits before white space \ s A space 8 ([^ \ s] {1}) Length Accept single digit value before space \ s A space 04 41 03 02 00 00 00 00 ([^ \ $] {1,23}) DATA Accepts to the end of the data but accommodates one to twenty-three digits

The normalization engine 120 may perform a normalization procedure based on the item definition illustrated in Table 6 above.

The index data module 130 may reprocess the data into an index file that is indexable to the normalized data, and the data storage 140 may store the converted index file for each vehicle. have. The index file stored in the data storage 140 may be stored in a searchable form by the external terminal 200 through the web according to a search condition described below.

The search module 150 may extract corresponding CAN data with reference to the data storage 140 according to a search condition set by the external terminal 200. Search conditions used by the search module 150 include a search period, a statistic item, a time unit, a count value (COUNT), a legend field, and a legend item.

The analysis module 160 may generate statistical information through analysis of the extraction result from the search module 150.

3 is a view illustrating a form of a normalized data packet by a CAN data analysis system according to an embodiment of the present invention. Referring to FIG. 3, the analysis module 160 may include a data normalization engine in data retrieved through a search module. By specifying only the identifier (CAN_ID) field separated through a predetermined time, for example, by specifying only the identifier (CAN_ID) field generated within one hour as a time line (Time Line) analysis function for all identifiers (CAN_ID) 1 Statistics for the identifier CAN_ID generated in units of minutes, 10 minutes, or 1 hour may be calculated.

In FIG. 3, identifiers of '09x0', '0x55', '0x1x', '0x77', '0421', '0xx3', '02x4', '0x03' and '0cc8' for one hour as search conditions. A count value COUNT is shown according to the number of occurrences of data of nine electronic controllers, and the time interval for each identifier CAN_ID can be checked every minute for one hour.

In addition, the analysis module 160 according to an embodiment of the present invention may provide a function of generating statistical information on data generated for each identifier (CAN_ID) through an AND condition as a group analysis function.

FIG. 4 is a table showing statistical information generated by a CAN data analysis system according to an embodiment of the present invention. Statistics for one minute from which data having identifiers CAN_ID '0x03' and '09x0' are extracted according to an AND condition is shown in FIG. Information is illustrated.

According to FIG. 4, data having '03 12 99 00 00 45 22 00 'occurred 10 times in one minute in the electronic control device having the identifier CAN_ID of' 0x03 ', and has a value of '04 12 77 00 00 45 22 00'. The data indicate that five times occurred in one minute.

In addition, it can be seen that the data having '77 00 00 14 00 00 01 01 'occurred 20 times in one minute in the electronic control device having the identifier CAN_ID of' 09x9 '.

Meanwhile, referring back to FIG. 2, the web page providing module 170 of the CAN data analysis system 100 according to an embodiment of the present invention may provide a web page posted on the Internet through an information communication network. Can be.

The administrator may access the web page provided by the web page providing module 170 and input a search condition through the external terminal 200, and the web page providing module 170 may input the search condition into the search module 150. It may be delivered to, and the statistical information generated by the analysis module 160 may be included in a web page and provided to the external terminal 200.

According to the above-described structure, the CAN data analysis system according to an embodiment of the present invention collects CAN data packets from each vehicle, builds a database through normalization and indexing, and sets a timing interval for each identifier (CAN_ID). Statistical information can be provided.

Hereinafter, a CAN data analysis method by a CAN data analysis system according to an embodiment of the present invention will be described with reference to the drawings.

5 is a view showing a CAN data analysis method according to an embodiment of the present invention. In the following description, even if there is no separate description, the performing agent for each step becomes the above-described CAN data analysis system and a component forming the same.

Referring to FIG. 5, the CAN data analysis method of the present invention includes collecting and storing data packets from at least one vehicle in real time (S100), parsing the stored data packets, and normalizing the parsing results. According to the field item (S110), the step of assigning the index to the normalized data to convert the index file (S120), the step of storing the index file (S130), according to the set search conditions, stored index Searching and extracting the file (S140), and generating the statistical information according to the timing interval (Timing Interval) of a predetermined unit for each identifier (CAN_ID) for the extraction result (S150).

Collecting and storing data packets in real time from one or more vehicles (S100) is a step in which the data collection module is connected to a data transmission module or a vehicle diagnostic apparatus mounted in each vehicle, and receives and stores CAN data packets therefrom.

Next, parsing the stored data packet and arranging the parsing result according to a plurality of field items through a normalization process (S110), according to a regular expression through parsing the data packet by the normalization engine, field item and time stamp ( A time stamp, an identifier CAN_ID, a data length CAN_Length, and a data value CAN_DATA may be extracted.

Next, the step of converting the normalized data into an index file by assigning an index (S120) is a step in which the index data module converts the parsing result into a file format that can be indexed.

 In the storing of the index file (S130), the database is constructed by storing the index file for each vehicle in the data storage.

Subsequently, according to the set search condition, the searching and extracting the stored index file (S140) is a step in which the search module searches the data store according to the preset search condition and extracts the stored index file.

Next, in operation S150, statistical information is generated according to a timing interval of a predetermined unit for each identifier CAN_ID with respect to the extraction result, and the analysis module 1 extracts the extracted data according to the identifier CAN_ID. The data may be arranged in units of minutes, 10 minutes, or 1 hour, and statistical information including a value of counting data may be generated.

In addition, although not shown, before step S140, the method may include providing a web page for receiving a search condition. In operation S150, the method may further include transmitting statistical information to the web page.

Many details are set forth in the foregoing description but should be construed as illustrative of preferred embodiments rather than to limit the scope of the invention. Therefore, the invention should not be defined by the described embodiments, but should be defined by the claims and their equivalents.

10: vehicle 50: data transmission module
60: vehicle diagnostics 100: CAN analysis system
110: data collection module 120: normalization engine
130: index data module 140: data storage
150: search module 160: analysis module
170: web page providing module 200: external terminal

Claims (13)

A data collection module for collecting and storing data packets in which IP information or hardware unique number information is added in real time from a vehicle diagnostic device (OBD2) mounted on at least one vehicle or a data transmission module directly connected to a CAN bus;
Parsing the stored data packet and normalizing the parsing result according to field items including time stamp, identifier (CAN_ID), data length (CAN_Length) and data value (CAN_DATA) engine;
An index data module for converting data normalized by the normalization engine into an index file;
A data storage for storing the index file in a searchable form according to a search condition set for each vehicle;
A search module for searching and extracting an index file stored in the data store; And
Analysis module for generating statistical information including the time interval of the data according to the number of occurrence of the data for each identifier (CAN_ID) in a predetermined time unit
CAN data analysis system comprising a. delete delete The method of claim 1,
The vehicle diagnostic or data transmission module,
CAN data analysis system for adding the time stamp to the data packet to transmit to the data collection module. The method of claim 1,
The vehicle diagnostic or data transmission module,
CAN data analysis system in communication with the data acquisition module in the TCP / IP protocol. delete The method of claim 1,
The normalization engine,
CAN data analysis system for setting the time the data collection module receives the data packet to the time stamp. delete delete The method of claim 1,
A web page providing module for providing a web page posted through an information communication network to receive the search condition from an external terminal and posting the statistical information on a web page.
CAN data analysis system further comprising. The method of claim 10,
The search condition is,
CAN data analysis system including one or more of a search period, a statistic item, a time unit, a count value (COUNT), a legend field, and a legend item. Analysis by the CAN data analysis system that generates statistical information by collecting data packets added with IP information or hardware unique number information in real time from a vehicle diagnostic device (OBD2) mounted on at least one vehicle or a data transmission module directly connected to a CAN bus As a method,
Collecting and storing data packets from one or more vehicles in real time;
Parsing the stored data packet and arranging the parsing result according to field items including time stamp, identifier (CAN_ID), data length (CAN_Length), and data value (CAN_DATA) through a normalization process according to a regular expression. ;
Converting the normalized data into an index file by indexing the normalized data;
Storing the index file in a searchable form according to a search condition set for each vehicle;
Searching and extracting the stored index file according to the set search condition; And
Generating statistical information including a time interval of data according to a frequency of occurrence of data for each identifier (CAN_ID) in a predetermined time unit;
CAN data analysis method comprising a. The method of claim 12,
Before searching and extracting the stored index file, providing a web page for receiving the search condition;
Generating the statistical information,
CAN data analysis method comprising the step of transmitting the statistical information to the web page.

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