KR102496652B1 - Apparatus and method for collecting vehicle data - Google Patents

Abstract

The vehicle data collection device of the present invention calculates a storage unit storing data collection setting information received from a server and data received from a vehicle controller and a vehicle network load, and if the vehicle network load is greater than a first reference value, a polling method is performed. and a control unit for collecting the data and collecting the data in a DAQ (Data Acquisition) method when the vehicle network load is less than a second reference value, thereby preventing excessive load on the vehicle network during data collection. vehicle stability can be improved. In addition, it is possible to optimize the amount of data collection, and since it is not necessary to set different collection settings for each vehicle type, vehicle option specification, and driving situation, the convenience of data collection operation can be improved.

Description

Vehicle data collection device and method {APPARATUS AND METHOD FOR COLLECTING VEHICLE DATA}

The present invention relates to an apparatus and method for collecting vehicle data, and more particularly, to an apparatus and method for collecting vehicle data that prevents overload of a vehicle network and secures communication stability.

A vehicle data collection device is connected to a vehicle network (CAN, Controller Area Network), collects data from various controllers, and transmits the data to a server. A vehicle network (CAN) is a bus method for communication between microcontrollers and performs data communication with an electronic control unit (ECU) of a vehicle, a transmission control unit (TCU), and a microcontroller of an ABS.

The vehicle network (CAN) can exchange information between devices by connecting a plurality of devices having unique IDs through one bus. A vehicle network (CAN) uses a physical layer, a data link layer, and an application layer among the 7 OSI layers. The message used in the vehicle network (CAN) does not include the address of the sender or receiver, but only includes ID information of the receiver.

Since the vehicle network (CAN) is in the form of a bus, messages used for general vehicle control and messages used for data collection exist together. Therefore, when a lot of data is collected, the vehicle network load increases, resulting in communication stability or each vehicle This causes a problem of operational stability of the controller.

In general, the vehicle network load (CAN) is managed at 60% or less, but when using various data collection equipment such as INCA and diagnostic scanners, the vehicle network load approaches 90% to 100%. And as the demand for data collection is applied not only to development test vehicles but also to mass-produced vehicles, securing communication stability has become the most important situation.

Since the CAN load can vary in real time by vehicle type, option specifications applied to the vehicle, and driving situation (stopping, high-speed driving, etc.), it is difficult to change the data collection settings every time to suit each situation and load.

Accordingly, there is a need for a method for preventing an excessive load of a vehicle network (CAN) by a vehicle data collection device and securing communication stability.

The present invention is to overcome the above-mentioned limitations, and provides a vehicle data collection device and method for monitoring vehicle network (CAN) load in real time and collecting data according to the vehicle network (CAN) load level in a DAQ method or a polling method. It has a purpose to provide.

The vehicle data collection device of the present invention calculates a storage unit storing data collection setting information received from a server and data received from a vehicle controller and a vehicle network load, and if the vehicle network load is greater than a first reference value, a polling method is performed. and a control unit configured to collect the data, and to collect the data in a Data Acquisition (DAQ) method when the vehicle network load is less than a second reference value.

The control unit is characterized in that the vehicle network load is the sum of the vehicle control network load generated between the vehicle controllers, the network load generated when the data is collected by the polling method, and the network load generated when the data is collected by the DAQ method. to be

The control unit may select data having a low priority to be collected by the DAQ method from among data collected by the DAQ method when the vehicle network load is equal to or greater than the first reference value.

And, when selecting data having a lower priority among the data collected by the DAQ method, the control unit calculates an expected load generated when the selected data is collected by the polling method.

The control unit may collect the selected data in the polling method when an expected load generated when the selected data is collected in the polling method is less than a third reference value.

And, the first reference value is characterized in that the same value as the second reference value or a value greater than the second reference value.

When the vehicle network load is less than the first reference value, the control unit determines whether the vehicle network load is less than the second reference value and further determines whether data collected by the polling method exists.

The control unit may select data having a high priority to be collected by the DAQ method from among data collected by the polling method when the vehicle network load is less than the second reference value.

And, when selecting data having a high priority among the data collected by the polling method, the control unit calculates an expected load generated when the selected data is collected by the DAQ method.

The control unit may switch the selected data to be collected by the DAQ method if an expected load generated when the selected data is collected by the DAQ method is less than a third reference value.

The vehicle data collection method of the present invention includes the steps of collecting data from vehicle controllers of the vehicle, calculating a vehicle network load, and collecting the data in a polling method when the vehicle network load is greater than a first reference value. and a controller configured to collect the data in a Data Acquisition (DAQ) method when the vehicle network load is less than the second reference value.

The calculating of the vehicle network load may include the sum of the vehicle control network load generated between the vehicle controllers, the network load generated when the data is collected using the polling method, and the network load generated when the data is collected using the DAQ method. It is characterized by calculating

The method may further include determining whether the vehicle network load is greater than or equal to the first reference value after calculating the vehicle network load.

After determining whether the vehicle network load is greater than or equal to the first reference value, if the vehicle network load is greater than or equal to the first reference value, among data collected by the DAQ method, a priority to be collected by the DAQ method is low. It is characterized in that it further comprises the step of selecting data.

And, after the step of selecting low-priority data to be collected by the DAQ method from among the data collected by the DAQ method, if data with a low priority is selected among the data collected by the DAQ method, the selected It is characterized in that it further comprises the step of calculating the expected load generated when the data is collected by the polling method.

And, after the step of calculating the expected load generated when the selected data is collected by the polling method, if the expected load generated when the selected data is collected by the polling method is less than a third reference value, the selected data is calculated according to the polling method. It is characterized by collecting as.

After determining whether the vehicle network load is greater than or equal to the first reference value, if the vehicle network load is less than the first reference value, it is determined whether the vehicle network load is less than the second reference value, and the data collected by the polling method is determined. It is characterized in that it further comprises the step of further determining whether there exists.

And, after determining whether the vehicle network load is less than the second reference value and further determining whether data collected by the polling method exists, if the vehicle network load is less than the second reference value, the data is collected by the polling method. It is characterized in that it further comprises the step of selecting high-priority data to be collected by the DAQ method from among the data to be collected.

And, after the step of selecting data with a high priority to be collected by the DAQ method from among the data collected by the polling method, selecting data with a high priority from among the data collected by the polling method, the selected data It is characterized in that it further comprises the step of calculating the expected load generated when the data are collected in the DAQ method.

And, after the step of calculating the expected load generated when the selected data is collected by the DAQ method, if the expected load generated when the selected data is collected by the DAQ method is less than a third reference value, the selected data is the DAQ method Characterized in that it is converted to be collected as.

The vehicle data collection apparatus and method of the present invention can improve vehicle stability by preventing excessive network load of the vehicle during data collection. In addition, it is possible to optimize the amount of data collection, and since it is not necessary to set different collection settings for each vehicle type, vehicle option specification, and driving situation, the convenience of data collection operation can be improved.

1 is a configuration diagram of a vehicle data collection system including a vehicle data collection device of the present invention.
2 is a diagram explaining a DAQ collection method and a polling collection method.
3 is a flowchart illustrating a vehicle data collection method of the present invention.

Hereinafter, some embodiments of the present invention will be described in detail through exemplary drawings. In adding reference numerals to components of each drawing, it should be noted that the same components have the same numerals as much as possible even if they are displayed on different drawings. In addition, in describing an embodiment of the present invention, if it is determined that a detailed description of a related known configuration or function hinders understanding of the embodiment of the present invention, the detailed description will be omitted.

In describing the components of the embodiment of the present invention, terms such as first, second, A, B, (a), and (b) may be used. These terms are only used to distinguish the component from other components, and the nature, order, or order of the corresponding component is not limited by the term. In addition, unless defined otherwise, all terms used herein, including technical or scientific terms, have the same meaning as commonly understood by a person of ordinary skill in the art to which the present invention belongs. Terms such as those defined in commonly used dictionaries should be interpreted as having a meaning consistent with the meaning in the context of the related art, and unless explicitly defined in the present application, they should not be interpreted in an ideal or excessively formal meaning. don't

1 is a configuration diagram of a vehicle data collection system including a vehicle data collection device of the present invention.

Referring to FIG. 1 , the vehicle data collection system of the present invention may include a vehicle 10 , a vehicle data collection device 20 and a data collection server 30 .

The vehicle 10 may include a plurality of vehicle controllers (ECUs, Electronic Control Units). Here, the vehicle controller is an electronic control device that controls all parts of the vehicle, such as a vehicle engine, a driving system, a braking system, and a steering system.

The vehicle controller may control functions of the vehicle system and generate corresponding vehicle data. For example, it may be a controller that controls an automatic transmission, steering, and the like. The vehicle data may be in a CAN message format and may include a state value, a state change value, an output signal value, and the like of a corresponding system.

A vehicle network (CAN (Controller Area Network)) is in the form of a bus, and vehicle controllers are all connected through a common line, and they can communicate with each other with equal authority. The bus is a broadcasting method, so the network state does not change depending on the state of specific nodes, and the communication speed is relatively fast. However, when a bus fails, the entire network is affected.

The vehicle data collection device 20 may be connected to a vehicle network (CAN) to collect data from vehicle controllers of the vehicle 10 and transmit the data to a server. The vehicle data collection device 20 may be integrally formed with the vehicle 10 or may be implemented as a separate device and connected to the vehicle 10 through an external connection means.

The vehicle data collection device 20 may include a storage unit 21 , a control unit 22 and a communication unit 23 .

The storage unit 21 may temporarily store data collection setting information received from the server, and may also store data received from the vehicle controller. Here, the storage unit 21 is a flash memory type, a hard disk type, a multimedia card micro type, or a card type memory (eg, SD or XD memory). etc.), magnetic memory, magnetic disk, optical disk, RAM (Random Access Memory, RAM), SRAM (Static Random Access Memory), ROM (Read-Only Memory, ROM), PROM (Programmable Read-Only Memory), EEPROM (Electrically Erasable Programmable Read-Only Memory) may include at least one storage medium.

The communication unit 22 may include a communication module supporting a communication interface with a server connected through a wireless network. In this case, the communication module may include a module supporting wireless Internet access such as WLAN, Wibro, Wi-Fi, Wimax, HSDPA, and the like.

Also, the communication unit 22 may include a communication module supporting a communication interface with vehicle controllers connected through a vehicle network.

The communication unit 22 may receive a collection request signal including data collection setting information from the server and transmit the received data collection request signal to a vehicle controller connected to a vehicle network. Here, the communication unit 22 may communicate with a plurality of vehicle controllers included in the vehicle through a vehicle network. Also, the communication unit 22 may transmit a predetermined control signal to the server to collect vehicle data using a predetermined method according to a load state of the vehicle network. The communication unit 22 may receive data from the vehicle controller and transfer the received data to the server.

The controller 23 may measure the load of the vehicle network and compare the load with a predetermined reference value to determine whether the vehicle network is overloaded. Here, the vehicle network load basically means the sum of the network load for vehicle control (the load generated when data is exchanged between vehicle controllers), the load generated when collecting data using the DAQ method, and the load generated when collecting data using the polling method. can

Here, the network load for vehicle control is included in the vehicle network load because it may occur when data is exchanged between vehicle controllers even if the vehicle data collection device does not exist. When data is transmitted from the engine to the transmission, a load generated when data is transmitted from the engine to the instrument panel may occur as a network load for vehicle control, regardless of a load generated by the vehicle data collection device.

According to the embodiment, approximately 3800 messages can be communicated per second in a vehicle network with a baud rate of 500 kbps, and 1900 messages are used per second for vehicle control (load 50%), and data is collected by the DAQ method If 380 units are used per second (load 10%) and 380 units are used per second (load 10%) to collect data by polling method, the load of the vehicle network can be 70%.

When the vehicle network load is less than a predetermined reference value, the control unit 23 collects data based on a DAQ (Data Acquisition) method, and polls (polling or uploads) some data according to alternative priorities when the vehicle network load is greater than a predetermined reference value. ) method to collect data. Here, the replacement priority may be flexibly set by calculating the load generated when data is collected by the DAQ method and the load generated when data is collected by the polling method from the vehicle network load value.

DAQ (Data Acquisition) measures analog physical quantities such as load, pressure, temperature, humidity, speed, acceleration, displacement torque, etc., analyzes the values, or converts analog physical quantities into digital values for other control based on the values. it means.

The DAQ method transfers data variables and cycles to be collected set from the collection server to the vehicle controller before starting data collection. When collection starts, the vehicle controller automatically transmits data to the collection device according to the designated period. The DAQ method can be used when collecting CCP (Can Calibration Protocol) data. During collection, a separate command message is not required, and the efficiency is high because data can be loaded in the entire message.

The maximum size of data that can be transmitted in the DAQ method is 8 bytes, and since 1 byte is allocated to an identifier for identifying data among 8 bytes, the size that can be transmitted as data is 7 bytes. Therefore, in the case of carrying data in 7 bytes and transmitting, according to the embodiment, data having a size of 4 bytes, data having a size of 2 bytes, and data having a size of 1 byte can be transmitted in one message, or three pieces of data each having 2 bytes and 1 piece of data with 1 byte can be transmitted in one message, or 7 pieces of data with 1 byte can be transmitted in one message.

In addition, the DAQ method can collect data only at a period supported by the vehicle controller (eg, 10 ms or 100 ms).

In the polling (upload) method, when the vehicle data collection device transmits a request message to the vehicle controller, data is received from the vehicle controller. This method can be used to collect service data through diagnostic communication or collect CCP learning data. CCP learning data collection may refer to thousands of data collection once after starting the vehicle.

The polling method requires a request command message each time data is to be collected, and in particular, in the case of CCP, only one data can be loaded per message, so efficiency is low. The collection period can be freely set to a desired period (eg, 1 second, 1 minute).

More specifically, the DAQ collection method and the polling collection method will be described with reference to FIG. 2 .

Referring to FIG. 2 , in the DAQ method, a vehicle data collection device may set data to be collected and a cycle in an initial setting step and transmit the data to the vehicle controller. According to the embodiment, data A and B may be collected at a period of 10 ms, and data C and D may be collected at a period of 100 ms. The vehicle controller may transmit information on corresponding data to the collection device according to a period set based on the received collection setting information.

As described above, the DAQ method has a low collection load because only messages containing data are required after the initial setting stage. In addition, since the collection period can be transmitted only in a period implemented in the vehicle controller, it can be transmitted only in a fixed period.

Meanwhile, in the polling method, the vehicle data collecting device transmits a message requesting target data to be collected to the vehicle controller. Since there is no initial setting step in the polling method, a request message must be transmitted to the vehicle controller whenever predetermined data is collected. Therefore, the collection load according to the transmission and reception of the request message is high. However, unlike the DAQ method, the collection period is not fixed but variable, so the collection device can collect data by requesting it at a desired time and at a desired period.

Referring back to FIG. 1 , the control unit 23 of the present invention collects data using a DAQ method when the CAN load is less than a predetermined reference value, and collects data using a polling method when the CAN load exceeds a predetermined reference value. In case of collecting data by polling method, you can add polling collection period and alternative priority in the initial setting for DAQ method data collection. See Table 1 for a more detailed explanation.

data item collection cycle collection cycle to replace Alternate Priority RPM 10ms - - vehicle speed 10ms 1sec 1st place coolant temperature 100ms 1 min 2nd place number of gears 100ms 1sec 3rd place ... ... ... ...

As shown in Table 1, the control unit 23 of the present invention can be configured from the server 30 to collect data of the vehicle controller based on the received data item and collection period when collecting data in the DAQ method. According to the embodiment, among the data items to be collected, the data on the coolant temperature may be collected at a cycle of 100 ms because there are many changes in the initial stage of vehicle startup. Therefore, according to the DAQ method, a message can be transmitted to the vehicle controller to collect data on the coolant temperature at intervals of 100 ms.

As described above, the control unit 23 according to the present invention collects data on the coolant temperature using the DAQ method, and when it is determined that the vehicle network load exceeds a predetermined reference value, the control unit 23 performs polling In this way, data of the coolant temperature can be collected. According to the polling method, a message can be transmitted to the vehicle controller to collect data on the coolant temperature at intervals of 1 minute. To this end, the control unit 23 may transmit a message by adding a collection period to be replaced and a replacement priority to the initially set data item and collection period in a DAQ method.

Here, the control unit 30 may calculate the vehicle network load using the following formula.

[Calculation 1]

Vehicle Network Load = Vehicle Control Network Load + DAQ Total Load + Polling Total Load

First, network load for vehicle control may refer to a load generated when data is exchanged between vehicle controllers. This can be calculated as a load per frame, and can be calculated with the following formula. Here, a frame may be a unit of transmission data.

[Calculation 2]

Load per data frame = Bits per frame / Baud rate

Here, the number of bits per frame usually has a variable length of 47 bits to 111 bits, and may have a maximum of 131 bits. In addition, the baud rate has 500 kbps (500,000 bits/sec) or 1 Mbps (1,000,000 bits/sec) according to the corresponding channel. Accordingly, when the baud rate is 500 kbps, the load per CAN data frame is about 0.02620%.

Next, the total DAQ load may mean the total load generated when collecting data in the DAQ method, and may be calculated as the sum of loads for each DAQ list in all cycles. The load for each DAQ list can be calculated with the following formula.

[Calculation 3]

Load per DAQ list = Number of ODTs * (1/DAQ cycle)* Load per data frame

(The DAQ period may be any one of 0.005s, 0.01s, 0.02s, 0.05s, and 0.1s.)

An Object Descriptor Table (ODT) may mean a DAQ list, and in detail, may mean a table in which data of a vehicle controller is stored for each list. One ODT has a size of 7 bytes, and the number of ODTs means the number of tables. The number of ODTs can be calculated with the following formula, and generally, data of a vehicle controller can have a size of one of 1 byte, 2 bytes and 4 bytes.

[Calculation 4]

Number of ODTs = {Number of data of vehicle controllers with a size of 4 bytes + (Number of data of vehicle controllers with a size of 2 bytes - Number of data of vehicle controllers with a size of 4 bytes)/3}

Number of ODTs = Number of data with a size of 1 byte / 7

First, the number of ODTs can be calculated by assuming that the data size of the vehicle controller is 4 bytes and 2 bytes. As described above, since one ODT has a size of 7 bytes, basically one vehicle controller data having a size of 4 bytes can be stored in one OPT. Accordingly, the number of ODTs may be equal to the number of data having a size of 4 bytes.

In addition, since one 2-byte data can be stored in an ODT in which 4-byte data is stored or three can be stored in one ODT, the number of ODTs is 4 bytes compared to the number of 2-byte data. It may be a value obtained by subtracting the number of data possessed and dividing it by 3. The above formula can be established only when the number of data having a size of 2 bytes is greater than the number of data having a size of 4 bytes.

Accordingly, the sum of the number of data having a size of 4 bytes and the number of data having a size of 2 bytes may be the number of ODTs.

According to an embodiment, when the vehicle controller has 5 pieces of data of 4 bytes and 23 pieces of data of 2 bytes, 5 pieces of data of 4 bytes and 5 pieces of data of 2 bytes may be stored in 5 ODTs. In addition, the remaining 18 pieces of 2-byte data can be stored in 6 ODTs. Accordingly, the number of ODTs may be 11 in total.

In addition, the number of ODTs may be calculated assuming that the data size of the vehicle controller is 1 byte. As described above, since one ODT has a size of 7 bytes, the number of ODTs is calculated by dividing the number of data having a size of 1 byte by 7 and rounding up the value.

According to an embodiment, if the number of data having a size of 1 byte is 20, according to the above calculation formula, the number of ODTs may be 20/7, and if the result is rounded up, the number of ODTs becomes 3. That is, since 7 bytes can be stored in one ODT, it can be stored in two ODTs with a size of 7 bytes and one ODT with a size of 6 bytes.

Next, the total polling load may mean a total load generated when data is collected in a polling method, and may be calculated as the sum of polling loads of all cycles. The load for each polling period can be calculated with the following formula.

[Calculation 5]

Load per polling cycle = Number of data collected by polling method * (1/polling cycle) * Load per data frame * 2

(For the load per data frame in Equation 5, refer to Equation 2.)

As described above, the control unit 23 calculates the vehicle network load and compares the vehicle network load with the first reference value. Here, the first reference value may be 80% according to an embodiment as a reference value for determining overload.

When the vehicle network load is greater than or equal to the first reference value, the control unit 23 may select data having a lower priority among data collected by the DAQ method. Here, the priority may mean a priority to be collected in the DAQ method. That is, data with a low priority may mean irrelevant data even if it is not collected by the DAQ method. Data having a low priority may include non-real-time data. Non-real-time data may mean data that is not related to time, for example, temperature.

According to the embodiment, as mentioned in the description of Table 1, the data on the coolant temperature should be collected by the DAQ method at the beginning of startup, but it does not matter if it is not collected by the DAQ method after the lapse of time, so the data on the coolant temperature has priority. may mean low data and may mean data that can be collected through a polling method.

The control unit 23 selects data having a lower priority among data collected by the DAQ method and then calculates an expected load when the corresponding data is collected by the polling method. Here, when the polling method is collected, the expected load may be calculated as the sum of the polling loads of all periods, and the polling load for each period may be calculated with reference to Equation 5.

When the load expected in the case of collection by the polling method is smaller than the third reference value, the control unit 23 determines that the load expected in the case of collection in the polling method is in the normal range, and collects the data collected in the DAQ method by the polling method. can switch

Meanwhile, if it is determined that the vehicle network load is less than the first reference value, the control unit 23 may determine whether the vehicle network load is less than the second reference value or whether there is data collected by the polling method. Here, the first reference value and the second reference value may have the same value, and the second reference value may be set to a value smaller than the first reference value in consideration of hysteresis. According to an embodiment, the second reference value may be 60%.

The control unit 23 selects data having a high priority among data collected by a polling method. As described above, the priority may mean a priority to be collected in the DAQ method. Accordingly, data with a high priority may mean data that needs to be collected by the DAQ method. Data with high priority may include real-time data. Real-time data may refer to data highly related to time, such as RPM.

The control unit 23 selects data having a high priority among data collected by the polling method and then calculates an expected load when the corresponding data is collected by the DAQ method. Here, when collecting data in the DAQ method, the expected load can be calculated as the sum of the loads for each DAQ list in all cycles, and the load for each DAQ list can be calculated with reference to Equation 3.

When the load expected in case of collection by the DAQ method is smaller than the third reference value, the control unit 23 determines that the load expected in case of collection in the DAQ method is within the normal range, and collects the data collected in the polling method so as to be collected in the DAQ method. can switch

The server 30 may collect data on a plurality of vehicle controllers included in the vehicle through the vehicle data collection device 20 . Here, the server stores the collected data in a database, and the information stored in the database can be used to analyze the vehicle condition.

Before collecting data on the vehicle controller through the vehicle data collection device 20, the server 30 selects a vehicle controller to be collected, sets data items to be collected from the selected vehicle controller and a collection period, and sets the data to be collected from the selected vehicle controller. It can be transmitted to the collection device 20.

3 is a flowchart illustrating a vehicle data collection method of the present invention.

As shown in FIG. 3 , data of the vehicle controller is collected (S110). The data of the vehicle controller collected in S110 may include data of an electronic control device that controls all parts of the vehicle, such as a vehicle engine, a driving system, a braking system, and a steering system. When S110 is performed for the first time, it can be basically set to collect data in a highly efficient DAQ method.

Then, vehicle network load is calculated (S120). In S120, the vehicle network load may be calculated with reference to Equations 1 to 5. For a more detailed description, refer to the descriptions of Equation 1 to Equation 5.

It is determined whether the vehicle network load is less than a first reference value (S130). If the vehicle network load is greater than the first reference value (No) in S130, it may be determined that the vehicle network is overloaded. Depending on the embodiment, the first reference value may be 80%.

If it is determined that the vehicle network is overloaded, data having a lower priority is selected among data collected by the DAQ method (S140). Here, the priority may mean a priority to be collected in the DAQ method. That is, data with a low priority may mean irrelevant data even if it is not collected by the DAQ method. According to the embodiment, as mentioned in the description of Table 1, the data on the coolant temperature should be collected by the DAQ method at the beginning of startup, but it does not matter if it is not collected by the DAQ method after the lapse of time, so the data on the coolant temperature has priority. may mean low data.

If data with a low priority is selected among the data collected by the DAQ method in S140, the selected data can be collected by the polling method, so an expected load is calculated when the corresponding data is collected by the polling method (S150). In the case of collecting in the polling method in S150, the expected load may be calculated as the sum of the polling loads of all periods, and the polling load for each period may be calculated with reference to Equation 5.

It is determined whether the expected load when collected by the polling method calculated in S150 is smaller than the third reference value (S160). If the expected load is less than the third reference value (Yes), when the data is collected in the polling method, it is determined that the expected load is within the normal range, and the data collected in the DAQ method is switched to be collected in the polling method (S170). On the other hand, if the expected load is greater than the third standard value (No) in S160, it means that the load will increase if the data is collected by polling method. carry out After S170, S110 is performed. S110 performed after S170 may collect data of the vehicle controller in a polling method.

Meanwhile, if it is determined that the vehicle network load is less than the first reference value in S130, it is determined whether the vehicle network load is less than the second reference value or whether there is data collected by polling (S180). Here, the first reference value and the second reference value may have the same value, and the second reference value may be set to a value smaller than the first reference value in consideration of hysteresis. According to an embodiment, the second reference value may be 60%.

Data having a high priority is selected among data collected by polling in S180 (S190). Here, the priority may mean a priority to be collected in a DAQ method. Accordingly, data with a high priority may mean data that needs to be collected by the DAQ method.

If data with a high priority is selected among the data collected by the polling method in S190, the selected data can be collected by the DAQ method, so an expected load when the corresponding data is collected by the DAQ method is calculated (S200). In the case of collecting data in the DAQ method in S200, the expected load can be calculated as the sum of the loads for each DAQ list in all cycles, and the load for each DAQ list can be calculated by referring to Equation 3.

It is determined whether the expected load in the case of collecting by the DAQ method calculated in S200 is smaller than the third reference value (S210). If the expected load is less than the third reference value (Yes), when the data is collected by the DAQ method, the expected load is determined to be within the normal range, and data collected by the polling method is converted to be collected by the DAQ method (S220). On the other hand, if the expected load is greater than the third reference value (No) in S210, it means that the load increases when the corresponding data is collected by the DAQ method, so select S190 again to select data with higher priority among data collected by the polling method. carry out After S220, S110 is performed. S110 performed after S220 may collect data of the vehicle controller in a DAQ method.

The above description is merely an example of the technical idea of the present invention, and various modifications and variations can be made to those skilled in the art without departing from the essential characteristics of the present invention.

Therefore, the embodiments disclosed in the present invention are not intended to limit the technical idea of the present invention, but to explain, and the scope of the technical idea of the present invention is not limited by these embodiments. The protection scope of the present invention should be construed according to the claims below, and all technical ideas within the equivalent range should be construed as being included in the scope of the present invention.

vehicle 10
Vehicle data collection device 20
storage unit 21
Department of Communications 22
Control 23
server 30

Claims (20)

a storage unit storing data collection setting information received from the server and data received from the vehicle controller; and
Calculate vehicle network load, collect the data by polling method if the vehicle network load is greater than a first reference value, and collect the data by DAQ (Data Acquisition) method if the vehicle network load is less than a second reference value Including a control unit to collect,
The control unit
If the vehicle network load is greater than a first reference value, a message obtained by adding a polling collection cycle and alternative priority to the collection cycle initially set for the DAQ method data collection is transmitted to the vehicle controller, and the data is collected by the polling method. Vehicle data collection device, characterized in that to do. The method of claim 1,
The control unit
The vehicle network load is
The vehicle data collection device according to claim 1 , wherein a network load for vehicle control generated between the vehicle controllers, a network load generated when collecting the data using the polling method, and a network load generated when collecting the data using the DAQ method are added together. The method of claim 1,
The control unit
The vehicle data collection device, characterized in that, if the vehicle network load is greater than or equal to the first reference value, data having a lower priority to be collected by the DAQ method is selected from among data collected by the DAQ method. The method of claim 3,
The control unit
When data having the lower priority is selected among the data collected by the DAQ method, an expected load generated when the selected data is collected by the polling method is calculated. The method of claim 4,
The control unit
and if an expected load generated when the selected data is collected by the polling method is less than a third reference value, the selected data is collected by the polling method. The method of claim 1,
The first reference value is a value equal to or greater than the second reference value. The method of claim 1,
The control unit
and determining whether the vehicle network load is less than the second reference value and further determining whether data collected by the polling method exists when the vehicle network load is less than the first reference value. The method of claim 1,
The control unit
The vehicle data collection device, characterized in that, if the vehicle network load is less than the second reference value, data having a high priority to be collected by the DAQ method is selected from among data collected by the polling method. The method of claim 8,
The control unit
When data having a high priority is selected among the data collected by the polling method, an expected load generated when the selected data is collected by the DAQ method is calculated. The method of claim 9,
The control unit
and converting the selected data to be collected by the DAQ method when an expected load generated when the selected data is collected by the DAQ method is less than a third reference value. collecting data from vehicle controllers of the vehicle;
calculating vehicle network load; and
Collecting the data in a polling method when the load on the vehicle network is greater than or equal to a first reference value, and collecting the data in a Data Acquisition (DAQ) method when the load on the vehicle network is less than a second reference value, ,
If the vehicle network load is greater than a first reference value, a message obtained by adding a polling collection cycle and alternative priority to the collection cycle initially set for the DAQ method data collection is transmitted to the vehicle controller, and the data is collected by the polling method. Vehicle data collection method characterized in that to do. The method of claim 11,
The step of calculating the vehicle network load
and calculating a sum of a network load for vehicle control generated between the vehicle controllers, a network load generated when collecting the data using the polling method, and a network load generated when collecting the data using the DAQ method. The method of claim 11,
After calculating the vehicle network load,
The method of collecting vehicle data, further comprising determining whether the vehicle network load is greater than or equal to the first reference value. The method of claim 13,
After determining whether the vehicle network load is greater than or equal to the first reference value,
and selecting low-priority data to be collected by the DAQ method from among data collected by the DAQ method when the vehicle network load is equal to or greater than the first reference value. The method of claim 14,
After the step of selecting low-priority data to be collected by the DAQ method among the data collected by the DAQ method,
The vehicle data collection method of claim 1 , further comprising calculating an expected load generated when the selected data is collected by the polling method, when data having a lower priority is selected among the data collected by the DAQ method. The method of claim 14,
After the step of calculating the expected load generated when the selected data is collected by the polling method,
and collecting the selected data by the polling method when an expected load generated when the selected data is collected by the polling method is less than a third reference value. The method of claim 13,
After determining whether the vehicle network load is greater than or equal to the first reference value,
If the vehicle network load is less than the first reference value, determining whether the vehicle network load is less than the second reference value and further determining whether data collected by the polling method exists. Data collection method. The method of claim 17
After determining whether the vehicle network load is less than the second reference value and further determining whether data collected by the polling method exists,
and selecting data having a higher priority to be collected by the DAQ method from among data collected by the polling method when the vehicle network load is less than the second reference value. The method of claim 18
After selecting data with a high priority to be collected by the DAQ method among the data collected by the polling method,
The vehicle data collection method of claim 1, further comprising calculating an expected load generated when the selected data is collected by the DAQ method, when data having a high priority is selected among the data collected by the polling method. The method of claim 19
After the step of calculating the expected load generated when the selected data is collected by the DAQ method,
and converting the selected data to be collected by the DAQ method when an expected load generated when the selected data is collected by the DAQ method is less than a third reference value.

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