JP2012221031A - Vehicular data acquisition device and vehicular data acquisition method - Google Patents

Abstract

PROBLEM TO BE SOLVED: To provide a vehicular data acquisition device and a vehicular data acquisition method, which enable acquisition of necessary vehicular data to a maximum extent while maintaining functionality required for an on-vehicle information processing device.SOLUTION: Vehicular data has priority of acquisition defined for each category of the vehicular data, and thresholds in plural steps corresponding to degrees of the priority is defined to the defined priority. The threshold is variably set in accordance with a vehicle status predicted by a system load prediction part 230 and a load status of an on-vehicle system. An on-vehicle information processing device 330 obtains vehicular data defined as priority having the variably set threshold or higher, and outputs the obtained vehicular data to a vehicular data storage area 350.

Description

  The present invention relates to a vehicle data acquisition device and a vehicle data acquisition method for acquiring vehicle data by using the operation of an information processing device mounted on a vehicle.

  In general, in the operation test of an in-vehicle information processing device such as a navigation system or various control devices mounted on a vehicle, the vehicle state is analyzed based on vehicle data acquired through a program executed by the information processing device. Done. For this reason, the in-vehicle information processing apparatus is provided with a function for storing the vehicle data thus acquired in time series, a so-called data logging function. However, since the data that you want to acquire through the in-vehicle information processing device varies depending on the analysis target, such as the content of the target defect, even with such a logging function, the type and number of data to be acquired depends on the analysis target. Need to change. Usually, such a change of the logging function is performed by changing the source code itself of the program that performs data logging. However, such source code changes can only be performed by engineers who are familiar with the program, and even those who are familiar with the program cannot change these programs correctly. It is a difficult task.

  Therefore, a technique that can easily change the data logging function has been proposed, and an example thereof is described in Patent Document 1. The system described in Patent Document 1 basically includes a control program for controlling a vehicle, and a diagnostic program including a data logging function for storing vehicle data including diagnostic data while performing diagnosis of each part of the vehicle. have. Of these, the diagnostic program changes the vehicle data to be stored and its storage conditions based on the function change information sent in response to the failure information from the maintenance terminal device connected to the in-vehicle information processing device. Is done. As a result, even a technician who has no knowledge of the diagnostic program can easily collect vehicle data for identifying the failure location by sending function change information corresponding to the failure information from the terminal device to the in-vehicle information processing device. Will be able to.

JP 2003-84998 A

  By the way, collection of such vehicle data is performed through execution of data log collection processing by an in-vehicle system constituted by the above-described in-vehicle information processing device and the like. Not a little processing load occurs. For this reason, even if the vehicle data to be stored and the storage condition thereof are changed, the load on the logging process for the in-vehicle information processing apparatus is increased as the number of data logs to be collected increases. The processing load increases. As a result, such a load extends to the vehicle control that should be originally executed by the in-vehicle information processing apparatus, and the influence of such a load cannot be ignored.

  The present invention has been made in view of such a situation, and the object of the present invention is to obtain the necessary vehicle data to the maximum while maintaining the functions required for the in-vehicle information processing apparatus. An object of the present invention is to provide a vehicle data acquisition device and a vehicle data acquisition method.

Hereinafter, means for solving the above-described problems and the effects thereof will be described.
According to the first aspect of the present invention, vehicle data for acquiring one or a plurality of types of vehicle data through an in-vehicle information processing device constituting an in-vehicle system mounted on the vehicle, and storing the acquired vehicle data in a vehicle data storage area. In the acquisition device, the vehicle data includes a priority level to be acquired for each type of vehicle data, and the specified priority level includes a plurality of threshold levels for the priority levels. The threshold values are variably set according to the state of the vehicle and the load state of the in-vehicle system, and the in-vehicle information processing apparatus is stipulated with a priority equal to or higher than the variably set threshold value. The gist is that the vehicle data is acquired and the acquired vehicle data can be output to the vehicle data storage area.

  The invention according to claim 8 is a vehicle data for acquiring one or more types of vehicle data through an in-vehicle information processing device constituting an in-vehicle system mounted on the vehicle, and storing the acquired vehicle data in a vehicle data storage area. In the acquisition method, the vehicle data defines a priority to be acquired for each type of vehicle data, and the defined priority defines a threshold value in a plurality of stages with respect to the priority level. The threshold values are variably set in accordance with the state of the vehicle and the load state of the in-vehicle system, and the in-vehicle information processing apparatus has vehicle data defined at a priority level equal to or higher than the variably set threshold value. And the obtained vehicle data is output to the vehicle data storage area.

  When the load on the in-vehicle system increases, the allowable amount for the vehicle data collection processing such as the vehicle data output processing and storage processing decreases accordingly. In addition, since such an in-vehicle system is originally intended to execute and manage operations of various systems and control devices mounted on the vehicle, the load of the in-vehicle system greatly depends on the state of the vehicle. That is, if the function of the in-vehicle system is to be sufficiently exerted, the amount of vehicle data that can be processed varies depending on the in-vehicle system and the state of the vehicle. Therefore, as in the above configuration or method, if a priority is defined for each vehicle data, and a threshold value that defines the output of the vehicle data is variably set based on the defined priority, The vehicle data to be processed by the in-vehicle information processing apparatus can be limited according to the in-vehicle system and the state of the vehicle. This makes it possible to collect the maximum amount of vehicle data commensurate with the priority while sufficiently maintaining the functions required for the in-vehicle system and the in-vehicle information processing apparatus.

  According to a second aspect of the present invention, in the vehicle data acquisition device according to the first aspect, the system includes a system load prediction unit that predicts an increase / decrease in the load of the in-vehicle system based on the state of the vehicle, and the system load prediction unit The gist of the invention is that the threshold value is variably set according to the predicted load of the in-vehicle system when the increase or decrease in the load of the in-vehicle system due to the change in the state of the vehicle is predicted.

  The invention according to claim 9 is the vehicle data acquisition method according to claim 8, wherein an increase or decrease in the load of the in-vehicle system is predicted based on the state of the vehicle, and the in-vehicle system of the in-vehicle system caused by a change in the state of the vehicle The gist is to variably set the threshold according to the predicted load of the in-vehicle system when the increase or decrease of the load is predicted.

  The load on the in-vehicle system varies greatly depending on the state of the vehicle. Based on the state of the vehicle, it is possible to predict the effect of the vehicle state on the in-vehicle system, in other words, the increase or decrease in the load on the in-vehicle system. It becomes. Therefore, as with the above configuration or method, if the system load prediction unit predicts the load of the in-vehicle system due to the change in the state of the vehicle, and the threshold value is variably set according to the predicted load, Maximum vehicle data can be acquired according to the load on the in-vehicle system that is predicted as the vehicle state changes.

  According to a third aspect of the present invention, in the vehicle data acquisition device according to the second aspect, the system load prediction unit includes a vehicle speed sensor that detects a traveling speed of the vehicle, an acceleration sensor that detects an acceleration of the vehicle, And a steering angle sensor that detects a steering angle of the steering of the vehicle, a position detection unit that detects position information of the vehicle, and a driving support system that executes driving support of the vehicle based on at least one output result The gist is to determine the state of the vehicle and to predict the increase or decrease of the load of the in-vehicle system based on the determination result.

  A tenth aspect of the present invention is the vehicle data acquisition method according to the ninth aspect, wherein a vehicle speed sensor that detects a traveling speed of the vehicle, an acceleration sensor that detects an acceleration of the vehicle, and steering of the steering of the vehicle. Determining the state of the vehicle based on at least one output result of a steering angle sensor for detecting an angle, position detection means for detecting position information of the vehicle, and a driving support system for performing driving support of the vehicle; The gist is to predict the increase or decrease of the load of the in-vehicle system based on the determination result.

  The load on the in-vehicle system changes due to vehicle conditions such as changes in the internal state of the vehicle and changes in the external environment, such as vehicle speed and acceleration, approach to traffic elements such as intersections, etc. To do. The state of the vehicle that exerts a load on the in-vehicle system as described above can be detected by the position detecting means or the like configured by various sensors, for example, GPS. For this reason, according to the above configuration or method, it is possible to determine the state of the vehicle that generates a load on the in-vehicle system based on the output results of such various sensors and position detection sensors. It is possible to predict the increase / decrease in the load of the in-vehicle system from the state.

  According to a fourth aspect of the present invention, in the vehicle data acquisition device according to the third aspect, the vehicle state predicted by the system load prediction unit to increase the load of the in-vehicle system is a high-speed traveling state of the vehicle, The vehicle is at least one of a sudden acceleration state or a sudden deceleration state of the vehicle, and a state where the position of the vehicle is close to a specific traffic element.

  According to an eleventh aspect of the present invention, in the vehicle data acquisition method according to the tenth aspect, the vehicle state in which the load of the in-vehicle system is predicted to increase is the high-speed traveling state of the vehicle and the rapid acceleration of the vehicle. The gist of the present invention is at least one of a state or a sudden deceleration state and a state in which the position of the vehicle approaches a specific traffic element.

  When the vehicle travels at a high speed, suddenly accelerates, or suddenly decelerates, for example, a change in the amount of information to be displayed on a car navigation system mounted on the vehicle is significant, and the load on the in-vehicle system increases accordingly. Also, when a vehicle approaches a predetermined traffic element such as an intersection or a curve, for example, the processing load associated with the enlarged display or reduced display of the guidance screen in the car navigation system and the amount of information to be guided to the driver increase. For this reason, the load on the in-vehicle system increases. Therefore, if it is predicted that the system load will increase when the vehicle state changes to the specified state as in the above configuration or method, the load on the in-vehicle system can be predicted more easily and accurately. Is possible.

  According to a fifth aspect of the invention, in the vehicle data acquisition device according to any one of the first to fourth aspects, the threshold value is dynamically changed in a manner proportional to the load of the in-vehicle system. The gist.

  The invention according to claim 12 is the vehicle data acquisition device according to any one of claims 8 to 11, wherein the threshold value is dynamically changed in a manner proportional to the load of the in-vehicle system. And

  The load of the in-vehicle system changes sequentially according to the state of the in-vehicle system and the vehicle, and if the vehicle control by the in-vehicle information processing device is to be maintained smoothly, it can be permitted with the change of such load. The output amount of vehicle data also changes. Therefore, if the threshold value for determining the vehicle data that can be output is dynamically changed in a manner proportional to the load of the in-vehicle system as in the above configuration or method, the state of the vehicle that changes sequentially or the load of the system Accordingly, it is possible to flexibly change the vehicle data to be output according to the above.

  According to a sixth aspect of the present invention, in the vehicle data acquisition device according to any one of the first to fifth aspects, the load on the in-vehicle system increases as the usage rate of the in-vehicle system increases. When the travel speed of the vehicle or the rate of change of the travel speed or the rate of change of the steering angle of the steering of the vehicle is increased, or when the distance between the vehicle and a specific traffic element is reduced, The state of the vehicle is evaluated stepwise as the load of the vehicle state on the in-vehicle system increases, and the variable setting is performed based on an addition value or a multiplication value of the load of the in-vehicle system and the state of the vehicle that are evaluated in stages. The gist is to determine the threshold to be used.

  According to a thirteenth aspect of the present invention, in the vehicle data acquisition method according to any one of the eighth to twelfth aspects, the load on the in-vehicle system is increased as the usage rate of the in-vehicle system increases. When the travel speed of the vehicle or the rate of change of the travel speed or the rate of change of the steering angle of the steering of the vehicle is increased, or when the distance between the vehicle and a specific traffic element is reduced, The state of the vehicle is evaluated stepwise as the load of the vehicle state on the in-vehicle system increases, and the variable setting is performed based on an addition value or a multiplication value of the load of the in-vehicle system and the state of the vehicle that are evaluated in stages. The gist is to determine the threshold to be used.

  For example, the usage rate of the in-vehicle system is evaluated in stages from level 0 to level 4 in units of 20%, and the load applied to the in-vehicle system by the state of the vehicle is evaluated in steps of 20 km / h according to the speed of the rising vehicle. . Then, by adding or multiplying the numerical values evaluated in stages, it is possible to estimate the total processing load of the in-vehicle system that outputs the vehicle data. Therefore, if the addition value or multiplication value obtained in this way is determined as the threshold value, vehicle data can be output and collected based on the overall processing load of the in-vehicle system.

  The invention according to claim 7 is the vehicle data acquisition device according to any one of claims 1 to 6, wherein the in-vehicle information processing device is a vehicle data based on the threshold value as a mode for outputting the vehicle data. And a safety mode that prioritizes the collection of the vehicle data, selectively switching between the threshold response mode and the safety mode, and from the threshold response mode The gist of the invention is that all vehicle data that can be acquired by the in-vehicle information processing apparatus can be output to the vehicle data storage area when the mode is shifted to the safety mode.

  The invention according to claim 14 is the vehicle data acquisition method according to any one of claims 8 to 13, wherein the vehicle-mounted information processing apparatus has a vehicle based on the threshold as a mode for outputting the vehicle data. A threshold mode corresponding to data output regulation and a safety mode that prioritizes collection of the vehicle data are provided, and the threshold mode and safety mode are selectively switched and executed from the threshold mode. When shifting to the safety mode, the gist is to output all vehicle data that can be acquired by the in-vehicle information processing apparatus to the vehicle data storage area.

  For example, there are situations where the collection of vehicle data should be prioritized over the smoothness of vehicle control, such as when various abnormalities occur in the vehicle. Therefore, as described above in the configuration or method, if the vehicle data output mode is selectively switched between the threshold mode and the safety mode according to the occurrence of an abnormality in the vehicle, the vehicle can be output. When the data is regulated based on the priority and the threshold, the vehicle data storage function by the in-vehicle information processing apparatus can be secured.

The block diagram which shows the schematic structure about one Embodiment of the vehicle data acquisition apparatus concerning this invention, and a vehicle data acquisition method. The figure which shows the evaluation example of the load of the vehicle-mounted system based on CPU usage rate and bus usage rate registered into the system load evaluation table of the embodiment. The figure which shows the example of evaluation of the state of a vehicle registered into the system load corresponding | compatible table of the embodiment. The figure which shows an example of the threshold value corresponding to the load of a vehicle-mounted system and the state of a vehicle registered into the threshold value correspondence table of the embodiment. The figure which shows an example of the correspondence of the priority prescribed | regulated to the vehicle data and the threshold value which were registered into the priority correspondence table of the embodiment. The flowchart which shows an example of the threshold value change process of the embodiment. The flowchart which shows an example of the vehicle data output process of the embodiment. The flowchart which shows an example of the mode switching process of the embodiment. (A) is a time chart which shows the example of transition of the vehicle state by which stage evaluation was carried out. (B) is a time chart showing a transition example of the load of an in-vehicle system that is evaluated in stages based on a CPU usage rate and a bus usage rate. (C) is a time chart which shows the transition example of the threshold value computed based on the load of a vehicle-mounted system, and the state of a vehicle. The transition example of the vehicle data acquired by the vehicle data acquisition device and the vehicle data acquisition method of the embodiment is compared with the comparative example of the vehicle data acquired by the conventional vehicle data acquisition device and the vehicle data acquisition method. And time chart. (A) is a time chart which shows the example of transition of the vehicle data amount prescribed | regulated that the priority is "A". (B) is a time chart showing a transition example of the amount of vehicle data in which the priority is defined as “D”. (C) is a time chart showing a transition example of the amount of vehicle data in which the priority is defined as “H”.

  Hereinafter, an embodiment in which a vehicle data acquisition apparatus and a vehicle data acquisition method according to the present invention are embodied will be described with reference to FIGS. The vehicle data acquisition apparatus and vehicle data acquisition method of the present embodiment includes vehicle data including log data, diagnostic data, and the like in which data acquired and stored in connection with operations of applications and the like are generated in time series. Is something to get. Moreover, the vehicle data acquisition apparatus of this Embodiment is comprised as an apparatus mounted in the vehicle used as the acquisition object of vehicle data.

  As shown in FIG. 1, the vehicle data acquisition device includes a system state management unit 100 that manages the state of an in-vehicle system that controls and controls various control devices constituting the vehicle. The system state management unit 100 includes a CPU usage rate calculation unit 110 that calculates a CPU usage rate that is a usage rate of a central processing unit (not shown) constituting the in-vehicle system. In addition, the system state management unit 100 is, for example, a CAN (controller) used for data transfer between control devices such as an engine control device that controls the operation state of a vehicle engine and a brake control device that controls the operation state of a brake. A bus usage rate calculation unit 120 that calculates the usage rate of a vehicle bus configured by (area network) or the like is provided.

  The CPU usage rate calculation unit 110 appropriately calculates the usage rate of the central processing unit that changes depending on the state of the vehicle, in other words, the operating state of the in-vehicle system that controls the vehicle, and provides information on the calculated CPU usage rate. And output to the system state determination unit 130 for determining the state of the in-vehicle system.

  The bus usage rate calculation unit 120 appropriately calculates the usage rate of the vehicle bus that changes according to the amount of data transferred between the control devices via the vehicle bus, and relates to the calculated usage rate of the vehicle bus. The information is output to the system state determination unit 130 that determines the state of the in-vehicle system.

  The system state determination unit 130 determines the load state of the in-vehicle system based on information indicating the CPU usage rate and the vehicle bus usage rate input from the CPU usage rate calculation unit 110 and the bus usage rate calculation unit 120. For example, when the CPU usage rate increases due to an increase in the amount of information to be calculated by the central processing unit, the system state determination unit 130 determines whether or not the in-vehicle system is based on the upward trend of the CPU usage rate. It is determined that the load has increased. Similarly, the system state determination unit 130, for example, when the usage rate of the vehicle bus increases with an increase in the amount of data transferred between the control devices, based on the increasing trend of the usage rate of the vehicle bus, It is determined that the load on the in-vehicle system has increased. On the other hand, when the CPU usage rate decreases due to a decrease in the amount of information to be calculated by the arithmetic processing unit or when the amount of data transferred between the control devices decreases, the system state determination unit 130 When the bus usage rate decreases, it is determined that the load on the in-vehicle system has decreased based on the CPU usage rate and the vehicle bus usage rate decreasing tendency.

  The system state determination unit 130 according to the present embodiment includes a system load evaluation table 131 in which the contents of the in-vehicle system load that have been evaluated in stages are registered. Refer to the system load evaluation table 131. Through numerical evaluation of the load on the in-vehicle system.

  That is, in the system load evaluation table 131, as illustrated in FIG. 2, the CPU usage rate and the bus usage rate are “0%” to “20%”, “21%” to “40%”, “41%”. ”To“ 60% ”,“ 61% ”to“ 80% ”,“ 81% ”to“ 100% ”, the load on the in-vehicle system is“ 0 ”,“ 1 ”,“ 2 ”, It is evaluated in stages as “3” and “4”. In addition, in the system load evaluation table 131, the added value of the load of the CPU usage rate and the load of the bus usage rate is registered as the load of the in-vehicle system reflecting both the load of the CPU usage rate and the bus usage rate. Has been. In this embodiment, the load on the in-vehicle system is numerically evaluated through reference to the system load evaluation table 131.

  Thus, the system state determination unit 130 appropriately determines the load state of the in-vehicle system based on the CPU usage rate and the vehicle bus usage rate. Further, as shown in FIG. 1, the system state determination unit 130 outputs information on the determined load state of the in-vehicle system to the vehicle data acquisition unit 300 that executes the vehicle data acquisition process.

  Moreover, this vehicle data acquisition apparatus is provided with the vehicle state detection part 210 as a means to detect the driving | running | working state of a vehicle. The vehicle state detection unit 210 includes, for example, a vehicle speed sensor 211 that detects the traveling speed of the vehicle, an acceleration sensor 212 that detects acceleration and deceleration of the vehicle, and a steering angle sensor that detects a change amount of the steering angle of the vehicle. 213 is provided. The vehicle state detection unit 210 includes an accelerator sensor 214 that detects the amount of depression of the accelerator pedal by the driver, a brake sensor 215 that detects the amount of depression of the brake pedal by the driver, and a GPS that detects vehicle position information. A position detection sensor (position detection means) 216 and a driving support system 217 are provided. Each of these sensors 211 to 216 and the driving support system 217 are electrically connected to a vehicle state determination unit 220 that determines the state of the vehicle based on the detection result.

  Among these, the vehicle speed sensor 211 detects the rotational speed of the wheel and outputs a signal corresponding to the detected rotational speed to the vehicle state determination unit 220. The acceleration sensor 212 detects acceleration and deceleration, which are the rate of change of the traveling speed of the vehicle, and outputs a signal corresponding to the detected acceleration and deceleration to the vehicle state determination unit 220. The steering angle sensor 213 calculates a change amount of the steering angle of the steering and outputs a signal corresponding to the calculated change amount of the steering angle to the vehicle state determination unit 220. The accelerator sensor 214 detects the accelerator opening that changes as the driver operates the accelerator pedal, and outputs a signal corresponding to the detected accelerator opening to the vehicle state determination unit 220. The brake sensor 215 detects whether or not the driver has operated the brake pedal, and outputs a signal corresponding to the detected presence or absence of the operation to the vehicle state determination unit 220. The position detection sensor 216 receives a GPS satellite signal for detecting the absolute position of the vehicle, and detects the position of the vehicle based on the received GPS satellite signal. Thus, the detected vehicle position information is output to the vehicle state determination unit 220. The driving support system 217 is configured by, for example, a car navigation system, and performs deceleration support that is executed as driving support to the driver of the vehicle. The driving support system 217 also displays specific traffic elements such as the location information of the own vehicle and nearby intersections, temporary stop positions, railroad crossings, junctions, and curves on a display device such as a liquid crystal display along with road map information. By displaying, the recommended route to the destination set by the driver is guided to the driver. Further, the driving support system 217 performs enlarged display and reduced display of road map information displayed on the display device according to the distance between the host vehicle and a specific traffic element. Then, the driving support system 217 outputs information related to driving support executed by the driving support system 217 to the vehicle state determination unit 220. Note that these sensors 211 to 216 and the driving support system 217 are also included in the in-vehicle system.

  The vehicle state determination unit 220 determines the state of the host vehicle based on various information and signals input from the sensors 211 to 216 and the driving support system 217. That is, for example, the vehicle state determination unit 220 determines that the host vehicle is in a high-speed traveling state of “80 km / h or more” based on the detection result of the vehicle speed sensor 211. Further, the vehicle state determination unit 220 determines that the host vehicle is in a sudden acceleration state or a sudden deceleration state based on the detection result of the acceleration sensor 212, for example. Similarly, the vehicle state determination unit 220 determines that the host vehicle is in a state in which a sudden steering operation is performed or a sudden acceleration operation is performed based on the detection results of the steering angle sensor 213, the accelerator sensor 214, the brake sensor 215, and the like. It is determined that the deceleration operation has been performed. Similarly, the vehicle state determination unit 220 is in a state in which the host vehicle is approaching a specific traffic element based on information input from the position detection sensor 216 or the driving support system 217. It is determined that there is an element, guidance for vehicle operation recommended for the traffic element, and various driving assistances. And the vehicle state determination part 220 outputs the information regarding this determined vehicle state to the system load prediction part 230 which estimates the load which the vehicle state gives to the said vehicle-mounted system.

  When the system load predicting unit 230 acquires information on the vehicle state from the vehicle state determining unit 220, the system load predicting unit 230 predicts the load that the vehicle state gives to the in-vehicle system based on the acquired information. For example, when the host vehicle is in a high-speed traveling state, the update frequency of road map information displayed on the display device and the frequency of driving support to be executed by the driving support system 217 increase accordingly. Therefore, the system load prediction unit 230 predicts that the load on the in-vehicle system increases with the increase in the road map information update process and the driving support process by the in-vehicle system when the host vehicle is in a high-speed traveling state. In addition, for example, when the host vehicle is in a state in which a sudden operation is performed more rapidly than usual, such as sudden acceleration, sudden deceleration, or sudden steering operation, the processing for executing vehicle control corresponding to such operation is performed as described above. Between the control units. Therefore, in this case as well, the system load prediction unit 230 predicts that the load on the in-vehicle system increases as the control amount to be processed by each control device increases and the data amount exchanged between the control devices increases.

  The system load prediction unit 230 of the present embodiment includes a system load correspondence table 231 in which information related to the load that the vehicle state gives to the in-vehicle system is registered in advance, and through reference to the system load correspondence table 231, Numerically evaluate the load that the vehicle condition gives to the in-vehicle system.

  That is, in the system load correspondence table 231, as illustrated in FIG. 3, the vehicle traveling speed, acceleration and deceleration that are the rate of change of the traveling speed, sudden vehicle operation such as a sudden handle, The load on the in-vehicle system when the vehicle enters a corresponding state is defined in a stepwise manner according to the change in the distance from the traffic element.

  Then, by referring to the system load correspondence table 231, for example, when the vehicle speed is “high” and the vehicle is approaching an intersection, the total value of the state “3” and the state “1” is “ It can be numerically evaluated that “4” is a value indicating the stepped vehicle state at that time. Moreover, in this Embodiment, the vehicle state evaluated numerically in this way is used as the load which the vehicle state exerts on the in-vehicle system. As described above, the system load prediction unit 230 according to the present embodiment numerically evaluates the load that the vehicle state exerts on the in-vehicle system through reference to the system load correspondence table 231.

  Thus, the system load prediction unit 230 appropriately determines the load that the vehicle state exerts on the in-vehicle system based on the detected and determined vehicle state. Further, as shown in FIG. 1, the system load prediction unit 230 outputs information regarding the determined load to the vehicle data acquisition unit 300.

  The vehicle data acquisition unit 300 is configured to calculate the vehicle data based on the load on the in-vehicle system that is numerically evaluated by the system state determination unit 130 and the load that the vehicle state that is numerically evaluated by the system load prediction unit 230 exerts on the in-vehicle system. A threshold value calculation unit 310 for calculating a threshold value used for the collection. The threshold value calculation unit 310 includes a threshold value correspondence table 311 in which each numerically evaluated load is associated with the threshold value, and the threshold value used for acquiring the vehicle data is calculated by referring to the threshold value correspondence table 311. .

  That is, in the threshold correspondence table 311, as illustrated in FIG. 4, the load of the in-vehicle system that is numerically evaluated by the system state determination unit 130 and the load that is numerically evaluated by the system load prediction unit 230, respectively. The added value with (vehicle state) is defined as the total load of the in-vehicle system. That is, as apparent from FIG. 4, the threshold value is proportional to the total load of the in-vehicle system. In this embodiment, the threshold value used for acquiring the vehicle data is appropriately calculated through reference to the threshold value correspondence table 311.

  In this way, the threshold value calculation unit 310 appropriately calculates the threshold value based on the load of the in-vehicle system that is numerically evaluated and the load that the vehicle state is assumed to exert on the in-vehicle system. Further, as shown in FIG. 1, the threshold calculation unit 310 outputs information indicating the calculated threshold to the priority determination unit 320 that determines the priority of the vehicle data to be acquired based on the threshold.

  The priority determination unit 320 sets the priority defined for each type of vehicle data that can be acquired by the in-vehicle information processing device 330 having a vehicle data logging function including log data of the host vehicle and the threshold value calculation unit 310. A priority correspondence table 321 associated with the calculated threshold value.

  In the priority correspondence table 321, as illustrated in FIG. 5, the thresholds “0”, “1-3”, “4-6”, “7-9”, “7-9”, “7-9”, “ The vehicle data priorities A to H are associated with “10 to 12”, “13 to 15”, “16 to 18”, and “19 to 22”, respectively. Here, for example, when the calculated threshold value is within the range of “19 to 22”, the vehicle data of the priority A that is defined as the highest priority among the various vehicle data is the vehicle mounted at that time. It is defined as vehicle data that should be acquired in consideration of the overall load of the system. That is, at this time, since the load applied to the in-vehicle system is in a very high state, the output processing of only the vehicle data defined as the priority A is executed, and the priority B to the priority lower than the priority A It shows that the output processing of various vehicle data defined as H is not executed. Further, when the calculated threshold value is within the range of “7 to 9”, the vehicle data in which the priority level E corresponding to the threshold value is defined, and the priority levels A to A that have a higher priority level than the priority level E. The various vehicle data in which D is defined indicates that the vehicle data can be acquired while maintaining the function of the in-vehicle system at that time.

  And the priority determination part 320 of this Embodiment determines the priority corresponding to the threshold value whenever the threshold value input from the threshold value calculation part 310 changes, and the priority according to the load of the vehicle-mounted system at that time In other words, vehicle data on which output processing is executed is dynamically changed based on such priorities. Therefore, when the overall load of the in-vehicle system increases or decreases due to the change in the CPU usage rate, bus usage rate, vehicle status, etc., the vehicle data to be acquired in accordance with this will be given priority. It will be changed dynamically accordingly.

  On the other hand, the in-vehicle information processing device 330 is configured as a device that generates the vehicle data, and has a logging function for a plurality of types of vehicle data. That is, as shown in FIG. 1, the in-vehicle information processing device 330 logs the contents of various processes executed in the in-vehicle system based on the priority determined by the priority determination unit 320. An output processing unit 331 that outputs log data (vehicle data) that has been logged to the vehicle data storage area 350 is provided. The output processing unit 331 includes a first output processing unit 331a to an nth output processing unit 331n that outputs various types of vehicle data according to the priority. Among these, the second output processing unit 331b determines that, for example, the priority is B when the threshold is “18” or less, that is, the priority determined by the priority determination unit 320 is “B” or less. Execute log data output processing that shows the control details of the specified engine and brake. The third output processing unit 331c is defined as, for example, the priority C when the threshold is “15” or less, that is, the priority determined by the priority determination unit 320 is “C” or less. The log data output process indicating the control contents of the meter is executed. Thus, in the present embodiment, the first output processing unit 331a to the nth output processing unit 331n execute log data output processing according to the priority determined by the priority determination unit 320. As a result, vehicle data that can be output to the maximum at that time is output to the vehicle data storage area 350 with the above threshold calculated as the total load of the in-vehicle system as the upper limit.

A mode in which vehicle data is output based on the threshold value determined by the priority determination unit 320 corresponds to the threshold value correspondence mode.
Further, as shown in FIG. 1, the vehicle data acquisition unit 300 according to the present embodiment includes a safety mode guide unit 340 that guides the vehicle information processing apparatus 330 to a safety mode that prioritizes acquisition of vehicle data. The safety mode guide unit 340 includes an abnormal state detection unit 341 that detects abnormal states of various control devices and systems mounted on the vehicle, and the abnormal state detection unit 341 detects an abnormal state. At this time, the abnormality occurrence flag 342 is turned on. In addition, when the abnormal state of the various control devices and the system detected by the abnormal state detection unit 341 is changed to the normal state, the safety mode guide unit 340 sets the abnormality occurrence flag 342 set to the on state to the off state.

  Further, when the vehicle data output process is executed, the in-vehicle information processing device 330 switches the vehicle data output mode from the threshold corresponding mode to the safety mode when the abnormality occurrence flag 342 is on. As a result, in the in-vehicle information processing device 330, the safety mode is set as the vehicle data output mode. The in-vehicle information processing device 330 outputs all the vehicle data that can be output by the in-vehicle information processing device 330 to the vehicle data storage area 350 in the safety mode that is set. That is, in this safety mode, the priority determined by the priority determination unit 320 is not applied in view of the occurrence of abnormalities in various control devices and systems, and acquisition of all vehicle data is prioritized. As a result, the vehicle data to be acquired is regulated by the cooperation of the priority determination unit 320 and the in-vehicle information processing device 330, and when an abnormality occurs in various control devices or systems, it is used for analysis thereof. Vehicle data will be acquired sufficiently.

Hereinafter, threshold value changing processing by the vehicle data acquisition device and the vehicle data acquisition method of the present embodiment will be described with reference to FIG.
As shown in FIG. 6, in this process, first, in step S100, the presence or absence of a change in the state of the vehicle is determined based on the detection result of the vehicle state detection unit 210. When it is determined through such determination that the vehicle state does not change even after the predetermined time T has elapsed, the load state of the in-vehicle system is detected and determined by the system state determination unit 130 (S101: YES, S102). ). Thereafter, the state of the in-vehicle system managed by the system state management unit 100 is updated to the determined state. Based on the updated load state of the in-vehicle system, the threshold value calculation unit 310 calculates the threshold value, and The priority determination unit 320 determines the priority (steps S103 and S104).

  On the other hand, when the vehicle state detection unit 210 detects that the state of the vehicle has changed before the predetermined time T elapses, the load that the changed vehicle state has on the in-vehicle system is predicted. (Step S100: NO, S105). Then, based on the predicted load and the load on the in-vehicle system, the threshold calculation unit 310 calculates a threshold and the priority determination unit 320 determines the priority (step S106).

  Thus, when the threshold value is calculated, a change in the vehicle state and a change in the in-vehicle system are detected as appropriate, and based on the detection results, a comprehensive load prediction for the in-vehicle system and a threshold value update are repeatedly executed. As a result, a threshold corresponding to the overall load of the in-vehicle system that changes sequentially according to the vehicle operation and the driving environment is set as appropriate, and the maximum obtainable while maintaining the functions of the in-vehicle system each time. The vehicle data is stored in the vehicle data storage area 350.

Next, vehicle data output processing by the in-vehicle information processing apparatus 330 will be described with reference to FIG.
As shown in FIG. 7, in this process, first, in step S200, it is determined whether or not the safety mode is set in the in-vehicle information processing device 330. As a result, when it is determined that the safety mode is not set in the in-vehicle information processing device 330, the vehicle data output mode is determined to be the threshold-corresponding mode, and the priority determined by the priority determination unit 320 is determined. The information regarding is acquired (step S200: NO, S201). The first output processing unit 331a to the n-th output processing unit 331n are targeted for output by the first output processing unit 331a to the n-th output processing unit 331n based on the information on the priority thus obtained. It is determined whether the priority defined in the vehicle data is equal to or higher than the priority determined by the priority determination unit 320 (step S202). Thereafter, when the first output processing unit 331a to the nth output processing unit 331n determine that the priority defined in the vehicle data to be output is equal to or higher than the determined priority, the vehicle data output process Execute. Thus, vehicle data having a priority level or higher determined by the priority determination unit 320 is stored in the vehicle data storage area 350 (steps S202: YES, S203).

  On the other hand, when it is determined in step S200 that the safety mode is set in the in-vehicle information processing device 330, the first output processing unit 331a to the nth output processing unit 331n output all vehicle data to be output. Execute the process. Thus, all the vehicle data that can be output by the first output processing unit 331a to the nth output processing unit 331n are stored in the vehicle data storage area 350 (steps S200: YES, S203).

Next, vehicle data output mode switching processing will be described with reference to FIG.
As shown in FIG. 8, in this process, first, in step S300, the vehicle data output mode is set through reference to the abnormality occurrence flag 342. As a result, when the abnormality occurrence flag 342 is on, the safety mode is set as the vehicle data output mode (steps S300: YES, S301).

  On the other hand, when the abnormality occurrence flag 342 is off in step S300, the threshold correspondence mode is set as the vehicle data output mode (steps S300: NO, S302).

  By repeatedly executing such processing, the safety mode and the threshold corresponding mode are selectively switched according to the on / off state of the abnormality occurrence flag 342, in other words, depending on whether or not the abnormality of the vehicle has occurred. Will be executed. As a result, when the vehicle is in a normal state, vehicle data corresponding to the total load of the in-vehicle system is acquired based on the priority. In addition, when the vehicle is in an abnormal state, vehicle data is prioritized for its analysis and the like.

Hereinafter, an operation example of the vehicle data acquisition apparatus according to the present embodiment will be described with reference to FIG.
As shown in FIGS. 9A and 9B, for example, the load predicted based on the vehicle state in the period T1 is “0”, and the load of the in-vehicle system based on the CPU usage rate and the bus usage rate is “0”. When this is the case, as shown in FIG. 9C, the above-described threshold values reflecting these loads are also “0”.

  On the other hand, as shown in FIGS. 9A and 9B, for example, the load predicted based on the vehicle state in the period T2 is “2”, and the load of the in-vehicle system based on the CPU usage rate and the bus usage rate is “2”. When it is “4”, as shown in FIG. 9C, the total value “6” of these loads is updated as the threshold value.

  In this embodiment, in this way, the CPU usage rate and bus usage rate of the in-vehicle system that change due to vehicle operations and various vehicle operations realized by the in-vehicle system, and the vehicle state that exerts a load on the in-vehicle system, Based on the above, the threshold for determining the priority is changed in time series. As a result, the type of vehicle data to be output can be dynamically changed based on such a threshold value.

Next, the transition of the vehicle data acquired by the vehicle data acquisition device and the vehicle data acquisition method of the present embodiment will be described with reference to FIGS.
Note that L2 indicated by a solid line in FIG. 10 and FIG. 11 is a transition example of the amount of vehicle data targeted for output processing by the in-vehicle information processing device 330 based on the priority determined according to the threshold value. Show. Moreover, L1 shown with a broken line in FIG.10 and FIG.11 has shown the transition example of the quantity of the vehicle data made into the object of the output process by the conventional vehicle data acquisition apparatus as a comparative example. On the other hand, in FIG.10 and FIG.11, L3 shown with a dashed-dotted line has shown the transition example of the comprehensive load of the vehicle-mounted system in which the state of the vehicle was considered.

  As shown as a transition example (comparative example) L1 in FIG. 10, the amount of vehicle data varies according to the amount of various events that occur in the in-vehicle system. For example, as shown as the transition example L3, the load of the driving support system 217 increases after the timing t1, for example, because the running vehicle is in a high-speed driving state, and the load on the in-vehicle system increases accordingly. Suppose that For this reason, after timing t1, as shown as transition example L1, combined with an increase in vehicle data to be acquired, the load on the in-vehicle system increases and the in-vehicle system overflows.

  On the other hand, in this embodiment, as shown as transition example L2, after timing t1 when the total load of the in-vehicle system starts to increase, the vehicle to be acquired based on the priority corresponding to the threshold value Data will be gradually regulated. As a result, the amount of vehicle data to be output is reduced in a manner that is inversely proportional to the load of the in-vehicle system, and the influence on the in-vehicle system due to the output processing of such vehicle data is minimized.

  In the present embodiment, the vehicle data output according to the load of such an in-vehicle system has a priority defined according to the type of the vehicle data, as shown in FIGS. Depending on it.

  For example, as shown as transition example La in FIG. 11 (a), vehicle data that is defined as having a priority “A” is the vehicle data in view of the priority even if the load on the in-vehicle system increases. The output process to the storage area 350 is continuously executed. As a result, for example, after timing t2 when the threshold value reaches “19 to 22”, output processing of only the vehicle data defined as the priority “A” is executed.

  Further, as shown as transition example Ld in FIG. 11B, the output processing is executed until timing t3 when the threshold value reaches “10 to 12” for the vehicle data defined as the priority “D”. However, the output processing of the vehicle data is not executed after the timing t3. On the other hand, as shown as a transition example Lh in FIG. 11C, the threshold value of the vehicle data specified as the priority “H” has reached “1” as the load of the in-vehicle system increases. After timing t1, the vehicle data output process is not executed.

  As described above, in the present embodiment, the output processing of the vehicle data in consideration of the load of the in-vehicle system is selectively executed according to the priority. Therefore, it is possible to accurately acquire the vehicle data to be output according to the priority while limiting the vehicle data to be output to the vehicle data storage area 350.

As described above, according to the vehicle data acquisition device and the vehicle data acquisition method according to the present embodiment, the following effects can be obtained.
(1) The priority to be acquired for each type of the vehicle data is specified, and a threshold value in a plurality of stages with respect to the height of the priority is specified for the specified priority. Then, such a threshold value is variably set according to the state of the vehicle and the load state of the in-vehicle system, and the output processing of the vehicle data defined with the priority level equal to or higher than the threshold value is executed. For this reason, it becomes possible to restrict | limit the vehicle data which should be processed by the said vehicle-mounted information processing apparatus 330 according to a vehicle-mounted system or the state of a vehicle. As a result, it is possible to collect the maximum vehicle data commensurate with the priority while sufficiently maintaining the functions required for the in-vehicle system and the vehicle data acquisition unit 300. In addition, thereby, vehicle data that can be output by the in-vehicle information processing apparatus 330, in other words, a program for acquiring the vehicle data, etc. is preliminarily stored at the time of shipment of the vehicle on which the in-vehicle information processing apparatus 330 is mounted. It becomes possible to embed. Therefore, there is no need to embed a program for acquiring vehicle data in the in-vehicle information processing apparatus 330 afterwards, and it becomes possible to acquire vehicle data more easily.

  (2) When the system load predicting unit 230 predicts the increase or decrease of the load on the in-vehicle system due to the state of the vehicle, the increase or decrease of the load of the in-vehicle system due to the change in the state of the vehicle is predicted. The threshold value was variably set according to the load of the in-vehicle system. Thereby, it becomes possible to acquire the maximum vehicle data according to the load of the in-vehicle system predicted with the change in the state of the vehicle.

  (3) The vehicle state is determined by the vehicle speed sensor 211, the acceleration sensor 212, the steering angle sensor 213, the accelerator sensor 214, the brake sensor 215, the position detection sensor 216, and the driving support system 217 constituting the vehicle state detection unit 210. Detection is performed based on the output result, and the state of the vehicle is determined based on the detection result. As a result, it is possible to determine the state of the vehicle based on a plurality of elements. As a result, it is possible to accurately determine the state of the vehicle based on the plurality of elements and predict the load of the in-vehicle system. .

  (3) As the state of the vehicle that is expected to increase the load of the in-vehicle system, a high-speed traveling state of the vehicle, a sudden acceleration state or a sudden deceleration state of the vehicle, and a state where the vehicle position approaches a specific traffic element Stipulated. As a result, it is possible to easily and uniformly predict that the load of the in-vehicle system increases or decreases when the vehicle state transitions to each of these states.

  (4) The threshold value is dynamically changed in a manner proportional to the load of the in-vehicle system. This makes it possible to flexibly change the vehicle data to be output according to the state of the vehicle that changes sequentially and the load of the in-vehicle system, and even if the state of the vehicle and the load of the in-vehicle system change dynamically, the in-vehicle Various vehicle data output processes can be executed within a range in which the system functions can be maintained.

  (5) The load on the above-mentioned in-vehicle system was evaluated in stages as it increased as the CPU usage rate and bus usage rate increased. In addition, the state of the vehicle was evaluated in stages based on the traveling speed, acceleration and deceleration of the vehicle, the rate of change of the steering angle of the steering, and the distance between the vehicle and a specific traffic element. And based on the added value of the load of the vehicle-mounted system and the state of the vehicle that are evaluated in stages, the threshold value for changing the vehicle data that can be output is calculated. This makes it possible to execute the vehicle data output process based on a comprehensive load that takes into account the load of the in-vehicle system and the state of the vehicle based on the CPU usage rate and the bus usage rate.

  (6) As the mode for outputting the vehicle data, the in-vehicle information processing apparatus 330 is provided with a threshold mode corresponding to the output regulation of the vehicle data based on the threshold and a safety mode giving priority to the collection of the vehicle data. It was. Then, the threshold corresponding mode and the safety mode are selectively switched according to the state of the abnormality occurrence flag 342, and all the vehicle data that can be acquired by the in-vehicle information processing device 330 is stored in the safety mode. The output is made to the area 350. As a result, when the vehicle data that can be output is regulated based on the priority and the threshold value, it is possible to reliably acquire the vehicle data used for the analysis or the like when the abnormality of the vehicle occurs. The vehicle data storage function by the in-vehicle information processing device 330 can be ensured in defining the vehicle data that can be output at any time.

In addition, the said embodiment can also be implemented with the following forms.
As a starting condition for the safety mode, the abnormality occurrence flag 342 is turned on, that is, an abnormality has occurred in the vehicle. Not limited to this, the safety mode activation condition may be, for example, a specific time zone or a specific event that occurs in advance, and the safety mode activation condition is arbitrary. It is possible to set conditions. Moreover, it is also possible to make it the structure which does not provide safety mode in the vehicle-mounted information processing apparatus 330, and it is also possible to make it the structure provided only with the said threshold value corresponding | compatible mode as a mode which outputs the said vehicle data.

  ・ Assuming that the load on the in-vehicle system increases in proportion to the CPU usage rate and the bus usage rate, it was decided to perform a step evaluation based on the added value. Not limited to this, it is also possible to evaluate the load on the in-vehicle system based on the multiplication value of the CPU usage rate and the bus usage rate. In addition, although the CPU usage rate and the bus usage rate are evaluated in stages in units of 20%, the levels can be evaluated in arbitrary units such as 10% units and 50% units. Further, as an element for evaluating the load of the in-vehicle system, only the CPU usage rate or the bus usage rate may be used, and any other element that evaluates the load of the in-vehicle system may be used.

  ・ The vehicle status is evaluated in stages according to vehicle travel speed, acceleration and deceleration, rate of change in steering angle of the steering wheel, and distance between the vehicle and a specific traffic element. It was decided to use it for calculation of the above-mentioned threshold as a load which a state exerts on an in-vehicle system. However, the present invention is not limited to this, and the multiplication value of each element indicating the state of the vehicle can be used for the calculation of the threshold value. In addition, in the mode shown in FIG. 3, the running speed, acceleration and deceleration of the vehicle are evaluated in four stages from “0” to “3”, and the change rate of the steering angle of the steering and the vehicle and a specific traffic element The distance was evaluated in two stages, “0” and “1”. For example, each element can be evaluated in units of “0.5” or can be evaluated in three or more stages. In short, any vehicle state evaluation method may be used as long as it evaluates the vehicle state in a manner that can be used to calculate the threshold value.

  As the threshold value, an addition value of the load of the evaluated in-vehicle system and the state of the evaluated vehicle is adopted, but is not limited thereto, for example, the load of the in-vehicle system and the state of the evaluated vehicle It is also possible to employ a multiplication value of In this case, the load on the in-vehicle system and the state of the vehicle are reflected more prominently in the threshold value, and the vehicle data is more effectively regulated when the total load on the in-vehicle system increases. Is possible.

  -The threshold value is dynamically changed in a manner proportional to the load of the in-vehicle system. However, the threshold value is not limited to this, as long as the threshold value is changed based on the load of the in-vehicle system and the load that the vehicle state is predicted to have on the in-vehicle system. Does not matter.

  -The conditions of the vehicle that are expected to increase the load on the in-vehicle system are defined as a high-speed driving state of the vehicle, a sudden acceleration or deceleration state of the vehicle, and a state where the vehicle position is close to a specific traffic element. . Not limited to this, for example, the load on the in-vehicle system may indicate that a change has occurred in the external environment of the vehicle, such as when the vehicle travels in the suburbs and urban areas, or when the weather changes from sunny to rainy. May be defined as the state of the vehicle that is predicted to increase.

  The state of the vehicle is determined by the vehicle speed sensor 211, the acceleration sensor 212, the steering angle sensor 213, the accelerator sensor 214, the brake sensor 215, the position detection sensor 216, and the driving support system 217 constituting the vehicle state detection unit 210. Detection was based on the output result. Not limited to this, the state of the vehicle may be detected by at least one of the sensors 211 to 216 and the driving support system 217. In addition, the state of the vehicle can also be detected using, for example, the yaw rate detection sensor for detecting the yaw rate of the vehicle, the operation state of the engine control device, the brake control device, and the wiper. In short, the vehicle state detection unit 210 may be any means capable of detecting various states of the vehicle such as the traveling environment and the traveling state of the vehicle.

  When the system load prediction unit 230 predicts the increase / decrease of the load on the in-vehicle system due to the state of the vehicle, and the increase / decrease in the load of the in-vehicle system due to the change in the state of the vehicle is predicted, The threshold value was variably set according to the system load. The threshold value is not limited to this, and any threshold value may be used as long as it is variably set based on the load state of the in-vehicle system and the vehicle state. The system load prediction unit 230 is omitted, and the detected vehicle state is It is also possible to directly use for calculation of the threshold value.

  -In the said embodiment, it decided to acquire various vehicle data based on the priority prescribed | regulated previously to the said vehicle data. For example, when the priority defined in the vehicle data can be changed through modification of a program or the like written in advance in the vehicle data output program, the priority is set according to the vehicle data to be acquired. It is also possible to change it dynamically. In this case, vehicle data can be acquired more flexibly.

  -Although multiple types of vehicle data were made into object as vehicle data which prescribes | regulates the said priority, even if vehicle data is one type, application of this invention is possible.

  DESCRIPTION OF SYMBOLS 100 ... System state management part, 110 ... CPU usage rate calculation part, 120 ... Bus usage rate calculation part, 130 ... System state determination part, 131 ... System load evaluation table, 210 ... Vehicle state detection part, 211 ... Vehicle speed sensor, 212 ... acceleration sensor, 213 ... steering angle sensor, 214 ... accelerator sensor, 215 ... brake sensor, 216 ... position detection sensor, 217 ... driving support system, 220 ... vehicle state determination unit, 230 ... system load prediction unit, 231 ... system load Correspondence table, 300 ... vehicle data acquisition unit, 310 ... threshold value calculation unit, 311 ... threshold value correspondence table, 320 ... priority determination unit, 321 ... priority correspondence table, 330 ... in-vehicle information processing device, 331 ... output processing unit, 331a ... 1st output process part, 331b ... 2nd output process part, 331c ... 3rd output process part, 33 n ... n-th output processing section, 340 ... safety mode guide portion, 341 ... abnormal state detection unit, 342 ... abnormality occurrence flag, 350 ... vehicle data storage area.

Claims (14)

A vehicle data acquisition device that acquires one or more types of vehicle data through an in-vehicle information processing device constituting an in-vehicle system mounted on a vehicle, and stores the acquired vehicle data in a vehicle data storage area,
In the vehicle data, priorities to be acquired are defined according to the types of vehicle data, and in the specified priorities, threshold values in a plurality of stages for the heights of the priorities are defined, The threshold values are variably set according to the state of the vehicle and the load state of the in-vehicle system, and the in-vehicle information processing apparatus acquires vehicle data that is defined with a priority equal to or higher than the variably set threshold value. The vehicle data acquisition device characterized in that the acquired vehicle data can be output to the vehicle data storage area. In the vehicle data acquisition device according to claim 1,
A system load prediction unit for predicting increase or decrease of the load of the in-vehicle system based on the state of the vehicle;
When the increase / decrease in the load of the in-vehicle system due to the change in the state of the vehicle is predicted by the system load prediction unit, the threshold value is variably set according to the predicted load of the in-vehicle system. Vehicle data acquisition device. The system load prediction unit includes a vehicle speed sensor that detects a traveling speed of the vehicle, an acceleration sensor that detects acceleration of the vehicle, a steering angle sensor that detects a steering angle of the steering of the vehicle, and position information of the vehicle The position of the vehicle is determined based on at least one output result of the position detection means for detecting the vehicle and the driving support system that executes driving support of the vehicle, and the increase / decrease in load of the in-vehicle system is predicted based on the determination result The vehicle data acquisition device according to claim 2. The vehicle state predicted by the system load prediction unit to increase the load on the in-vehicle system is a high-speed traveling state of the vehicle, a sudden acceleration state or a sudden deceleration state of the vehicle, and a position where the vehicle is a specific traffic. The vehicle data acquisition device according to claim 3, wherein the vehicle data acquisition device is at least one of the states approaching the element. The vehicle data acquisition device according to any one of claims 1 to 4, wherein the threshold value is dynamically changed in a manner proportional to the load of the in-vehicle system. In the vehicle data acquisition device according to any one of claims 1 to 5,
As the usage rate of the in-vehicle system increases, the load of the in-vehicle system increases, and the load of the in-vehicle system is evaluated in stages, and the travel speed of the vehicle or the change rate of the travel speed or the change of the steering angle of the steering of the vehicle When the rate increases or when the distance between the vehicle and a specific traffic element decreases, the vehicle state is evaluated in stages as the load of the vehicle state on the in-vehicle system increases. The vehicle data acquisition device, wherein the threshold value to be variably set is determined based on an addition value or a multiplication value of a load of an in-vehicle system and a state of the vehicle. The in-vehicle information processing apparatus includes, as a mode for outputting the vehicle data, a threshold corresponding mode to which vehicle data output regulation based on the threshold is applied, and a safety mode that prioritizes collection of the vehicle data, and the threshold While selectively switching between the response mode and the safety mode, and when shifting from the threshold response mode to the safety mode, all of the vehicle data that can be acquired by the in-vehicle information processing apparatus is stored in the vehicle data storage area. The vehicle data acquisition device according to any one of claims 1 to 6, wherein output is possible. A vehicle data acquisition method for acquiring one or more types of vehicle data through an in-vehicle information processing device constituting an in-vehicle system mounted on a vehicle, and storing the acquired vehicle data in a vehicle data storage area,
The vehicle data defines priorities to be acquired for each type of vehicle data, and the defined priorities define a plurality of threshold levels for the heights of the priorities. And the vehicle-mounted information processing apparatus is configured to acquire vehicle data defined at a priority level equal to or higher than the variably set threshold, and the vehicle-mounted information processing device. Outputting the acquired vehicle data to the vehicle data storage area. A vehicle data acquisition method. The vehicle data acquisition method according to claim 8,
When an increase / decrease in the load of the in-vehicle system is predicted based on the state of the vehicle, and an increase / decrease in the load of the in-vehicle system due to a change in the state of the vehicle is predicted, according to the predicted load of the in-vehicle system The vehicle data acquisition method, wherein the threshold value is variably set. A vehicle speed sensor for detecting a traveling speed of the vehicle, an acceleration sensor for detecting an acceleration of the vehicle, a steering angle sensor for detecting a steering angle of a steering of the vehicle, and a position detecting means for detecting position information of the vehicle; 10. The state of the vehicle is determined based on at least one output result of the driving support system that performs driving support of the vehicle, and an increase or decrease in the load of the in-vehicle system is predicted based on the determination result. Vehicle data acquisition method. The vehicle state where the load on the in-vehicle system is expected to increase is the high-speed driving state of the vehicle, the sudden acceleration state or the sudden deceleration state of the vehicle, and the state where the vehicle position is close to a specific traffic element. The vehicle data acquisition method according to claim 10, wherein the vehicle data acquisition method is at least one state. The vehicle data acquisition method according to any one of claims 8 to 11, wherein the threshold value is dynamically changed in a manner proportional to the load of the in-vehicle system. In the vehicle data acquisition method according to any one of claims 8 to 12,
As the usage rate of the in-vehicle system increases, the load of the in-vehicle system increases, and the load of the in-vehicle system is evaluated in stages, and the travel speed of the vehicle or the change rate of the travel speed or the change of the steering angle of the steering of the vehicle When the rate increases or when the distance between the vehicle and a specific traffic element decreases, the vehicle state is evaluated in stages as the load of the vehicle state on the in-vehicle system increases. The vehicle data acquisition method, wherein the threshold value to be variably set is determined based on an addition value or a multiplication value of a load of an in-vehicle system and a state of the vehicle. The in-vehicle information processing apparatus is provided with a threshold mode corresponding to output regulation of vehicle data based on the threshold, and a safety mode that prioritizes collection of the vehicle data, as modes for outputting the vehicle data, When selectively switching between the threshold mode and the safety mode, and when shifting from the threshold mode to the safety mode, all the vehicle data that can be acquired by the in-vehicle information processing apparatus is stored in the vehicle data storage area. The vehicle data acquisition method according to any one of claims 8 to 13.

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