JP2018039281A - Wiper function proposal method and wiper function proposal system - Google Patents

Abstract

PROBLEM TO BE SOLVED: To provide a wiper function proposal method and a wiper function proposal system capable of appropriately setting the intermittent operation of a wiper even by a user who is not proficient in the intermittent operation of the wiper. SOLUTION: A wiper function proposal system 100 has a vehicle speed of a plurality of vehicles 3, intermittent time setting information indicating an intermittent time of a wiper set by a user of each vehicle 3, and an external information indicating external information of each vehicle 3. A storage device that stores information and users who frequently set intermittent time are extracted from the intermittent time setting information, and the vehicle speed and external information are responded to based on the extracted user's intermittent time setting information, vehicle speed, and external information. It is provided with a vehicle controller that generates an operation model indicating an intermittent time, calculates a prediction accuracy indicating the consistency of the intermittent time with respect to the operation model, and determines an operation model having the highest prediction accuracy. [Selection diagram] Fig. 1

Description

  The present invention relates to a wiper function proposing method and a wiper function proposing system.

  Conventionally, a method for controlling the intermittent operation of a wiper has been known (Patent Document 1). The wiper control device described in Patent Literature 1 has a function in which an intermittent time when a wiper is intermittently operated is set by a user by operating a switch, and a function of adjusting according to a raindrop amount detected by a rain sensor.

JP2011-105108A

  However, the wiper control device described in Patent Document 1 is premised on the user appropriately setting the intermittent operation of the wiper. Therefore, a user who is not familiar with the intermittent operation of the wiper may not be able to set the intermittent operation appropriately.

  The present invention has been made in view of the above problems, and its purpose is to propose a wiper function capable of appropriately setting the intermittent operation of the wiper even if the user is not familiar with the intermittent operation of the wiper. It is to provide a method and a wiper function suggestion system.

  A wiper function proposing method according to an aspect of the present invention extracts a user with a high frequency of intermittent time setting from intermittent time setting information indicating the intermittent time of the wiper set by the user, and the extracted intermittent time setting information of the user, Based on the vehicle speed and external information of each vehicle, an operation model indicating intermittent time corresponding to the vehicle speed and external information is generated, and prediction accuracy indicating consistency of intermittent time is calculated for the operation model. Determine the highest operating model.

  According to the present invention, even a user who is not familiar with the intermittent operation of the wiper can appropriately set the intermittent operation of the wiper.

FIG. 1 is an overall configuration diagram of a wiper function proposing system according to an embodiment of the present invention. FIG. 2 is a block diagram showing the configuration of the vehicle according to the embodiment of the present invention. FIG. 3 is a block diagram showing the configuration of the data center according to the embodiment of the present invention. FIG. 4A is a diagram illustrating an operation model according to the embodiment of the present invention. FIG. 4B is a diagram illustrating an operation model according to the embodiment of the present invention. FIG. 5 is a flowchart for explaining an operation example of the vehicle according to the embodiment of the present invention. FIG. 6 is a flowchart for explaining an operation example of the data center according to the embodiment of the present invention. FIG. 7 is a flowchart for explaining an operation example of the vehicle according to the embodiment of the present invention.

  Hereinafter, embodiments of the present invention will be described with reference to the drawings. In the description of the drawings, the same portions are denoted by the same reference numerals, and description thereof is omitted.

  With reference to FIG. 1, the whole block diagram of the wiper function proposal system 100 which concerns on this embodiment is demonstrated. As shown in FIG. 1, the wiper function proposal system 100 includes a data center 1, a network 2, and a plurality of vehicles 3. The plurality of vehicles 3 perform bidirectional communication with the data center 1 via the network 2. The network 2 is a communication network that can transmit and receive various types of information. For example, the network 2 includes various communication lines such as a dedicated line, a public switched telephone network, a satellite communication line, and a mobile communication line installed by a telecommunications carrier.

  Next, the configuration of the vehicle 3 will be described with reference to FIG. As shown in FIG. 2, the vehicle 3 includes a GPS receiver 10, a rain sensor 11, a vehicle speed sensor 12, a camera 13, a navigation device 14, a lever switch 15, an intermittent time setting switch 16, and a storage device. 20, a wiper controller 21, a wiper 22, a vehicle controller 30, a speaker 40, and a display 41.

  The GPS receiver 10 detects the current location and date / time of the vehicle 3 by receiving radio waves from an artificial satellite. The GPS receiver 10 outputs the detected location information and date / time of the current location to the storage device 20.

  The rain sensor 11 detects the amount of raindrops on the vehicle 3 and outputs the detected amount of raindrops to the storage device 20. The vehicle speed sensor 12 detects the vehicle speed of the vehicle 3 and outputs the detected vehicle speed to the storage device 20.

  The camera 13 is a camera having an image sensor such as a CCD (charge-coupled device) or a CMOS (complementary metal oxide semiconductor). A plurality of cameras 13 are installed in the vehicle 3 to photograph the surroundings of the vehicle 3 and the interior of the vehicle. The camera 13 outputs the captured image to the storage device 20. The navigation device 14 sets a travel route to the destination set by the user.

  The lever switch 15 is a switch for setting the mode of the wiper 22. The lever switch 15 has a wiper 22 mode including an off mode, an intermittent mode, a low mode, and a high mode, which indicate that the wiper 22 is off. The intermittent mode is a mode in which the wiper 22 is intermittently operated at a predetermined intermittent time. The low mode is a mode in which the wiper 22 is continuously operated at a low operation speed. The high mode is a mode in which the wiper 22 is continuously operated at a high operation speed. The switch position information of the lever switch 15 set by the user is output to the storage device 20 and the wiper controller 21.

  The intermittent time setting switch 16 is a switch for setting the intermittent time of the wiper 22. The intermittent time setting information of the intermittent time setting switch 16 set by the user is output to the storage device 20 and the wiper controller 21. In the present embodiment, the intermittent time can be set at intervals of 1 second from 2 to 10 seconds. The user operates the lever switch 15 and the intermittent time setting switch 16 to set the drive of the wiper 22.

  The wiper controller 21 is a circuit that controls driving of the wiper 22 based on switch position information of the lever switch 15 and intermittent time setting information of the intermittent time setting switch 16. The wiper 22 includes a front wiper and a rear wiper.

  The storage device 20 is a device that stores various types of information, and includes, for example, a semiconductor memory or a hard disk. The storage device 20 stores in advance vehicle identification information, which is identification information different for each vehicle 3.

  The vehicle controller 30 is a circuit that processes various types of information stored in the storage device 20. Further, the vehicle controller 30 has a function of communicating with the data center 1 via the network 2. The vehicle controller 30 acquires user identification information that is identification information that is different for each user. The user identification information is user face information, for example. The vehicle controller 30 performs a predetermined process on the user's face image captured by the camera 13 to identify the user. Note that the user identification information is not limited to face information, and information unique to the human body, such as eye glow, voice, and fingerprints, may be used as the user identification information.

  The speaker 40 is a device that guides various information to the user by voice. The display 41 is mounted on the navigation device 14 or the instrument panel and displays various information.

  Next, the configuration of the data center 1 will be described with reference to FIG. As shown in FIG. 3, the data center 1 includes a storage device 60 and a controller 61.

  The storage device 60 is a device that collects and stores various types of information from the plurality of vehicles 3, and includes, for example, a semiconductor memory or a hard disk.

  The controller 61 is a circuit that processes various types of information stored in the storage device 60. The controller 61, the vehicle controller 30, and the wiper controller 21 are microcomputers including, for example, a CPU, a ROM, a RAM, an input / output interface, and the like.

  In the present embodiment, the controller 61 performs statistical analysis using various types of information stored in the storage device 60, and generates an operation model of intermittent operation of the wiper 22 set by each user. The controller 61 determines an operation model pursuing visibility from the generated operation models. Hereinafter, a method for generating an operation model will be described in detail.

  The controller 61 acquires weather information at the position of each vehicle 3 from a public service or the like based on the position information of each vehicle 3 stored in the storage device 60. The weather information includes the amount of raindrops and the amount of solar radiation. Further, the controller 61 acquires the raindrop amount from the rain sensor 11 of each vehicle 3. The raindrop amount used by the controller 61 may be the raindrop amount included in the weather information or the raindrop amount acquired from the rain sensor 11.

  The controller 61 extracts the operation frequency of each user using the user identification information stored in the storage device 60 and the intermittent time setting information of the intermittent time setting switch 16. The operation frequency is operation information indicating the number of times each user operates the intermittent time setting switch 16 during a predetermined travel time. The travel time of each user can be obtained from the travel history. In the following, information including user identification information and intermittent time setting information may be simply referred to as user information.

  Next, the controller 61 extracts the top 10% users with the highest operation frequency from the entire user information. The reason for extracting users with high operation frequency is that the intermittent time setting switch 16 is set more frequently for users with higher operation frequency, and it is considered that visibility is pursued according to the driving environment. The value of 10% is not limited to this, and can be changed as appropriate.

  Next, the controller 61 uses the user information of the top 10% users with the highest operation frequency, the external information indicating the information outside the vehicle 3, and the vehicle speed of the vehicle 3, and the top 10% users with the highest operation frequency. Generate an operation model for. The external information is raindrop amount and road information. The road information is road information around each vehicle 3 acquired by the controller 61 performing a predetermined process on an image outside the vehicle photographed by the camera 13. The road information includes white line information and traffic jam information.

  The operation model will be described with reference to FIGS. 4A and 4B. The users X and Y shown in FIGS. 4A and 4B are users belonging to the top 10% with the highest operation frequency. First, the visibility shown in FIG. 4A will be described. In this embodiment, visibility is the ease of recognizing information visually. The controller 61 classifies the visibility based on the raindrop amount and road information. For example, when the amount of raindrops is large and no white line is detected, the visibility is poor. This is because when the white line is not detected, it is difficult to see the road surface due to rain. On the other hand, when the amount of raindrops is small and a white line is detected, the visibility is good. The relationship between the amount of raindrops, road information, and visibility can be obtained in advance through experiments and simulations. In the present embodiment, the controller 61 classifies the visibility into five levels: good, slightly good, normal, slightly bad, and bad based on the raindrop amount and road information. Good visibility means that it is easy to visually recognize information, and poor visibility means that it is not easy to recognize information visually.

  Next, the controller 61 performs statistical analysis on the classified visibility using the vehicle speed of the vehicle 3 and the intermittent time setting information. The reason for using the vehicle speed is that, depending on the user, the intermittent time may be changed depending on the vehicle speed even with the same visibility. When performing statistical analysis, the controller 61 generates an operation model using 80% of information extracted at random from the raindrop amount, road information, vehicle speed, and intermittent time setting information of the user X. The remaining 20% is used for the prediction accuracy described later.

  The case A of the operation model X shown in FIG. 4A is an operation model indicating that when the visibility is good and the vehicle speed is 30 km / h, the user X sets the intermittent time of the wiper 22 to 10 seconds. . Similarly, Case B is an operation model indicating that when the visibility is good and the vehicle speed is 40 km / h, the user X sets the intermittent time to 9 seconds. Similarly, the case C is an operation model indicating that when the visibility is slightly good and the vehicle speed is 30 km / h, the user X sets the intermittent time to 8 seconds. Since the same applies to the remaining cases D to J, the description thereof is omitted.

  As shown in FIG. 4B, the controller 61 similarly generates an operation model Y for the user Y. The cases A to J of the operation model Y are not described because they are only different in numerical values from the operation model X.

  Next, the controller 61 calculates the prediction accuracy of the generated operation models X and Y. The prediction accuracy is an index indicating whether or not the users X and Y are performing a consistent operation. For example, as shown in FIG. 4A, when the visibility is good and the vehicle speed is 30 km / h, the user X can be predicted to set the intermittent time to 10 seconds. In calculating the prediction accuracy, the controller 61 calculates the prediction accuracy using the remaining 20% raindrop amount, road information, vehicle speed, and intermittent time setting information of the user X that were not used when generating the operation model. . Specifically, the controller 61 applies the remaining 20% raindrop amount, road information, vehicle speed, and intermittent time setting information of the user X to the generated operation model, and calculates a prediction error. For example, if there is information in which the visibility is good and the vehicle speed is 30 km / h and the user X sets the intermittent time to 9 seconds in the remaining 20%, this information includes information indicating a prediction error. Become. The controller 61 calculates how many pieces of information indicating the prediction error exist in the remaining 20%. And the controller 61 calculates the ratio of the information which does not contain a prediction error among the remaining 20% information. This ratio is the prediction accuracy. In the present embodiment, as shown in FIGS. 4A and 4B, it is assumed that the prediction accuracy of the operation model X is 83% and the prediction accuracy of the operation model Y is 51%. The controller 61 determines the operation model with the highest prediction accuracy as the operation model to be distributed to each vehicle 3. Here, there are two examples, but since the prediction accuracy of the operation model X is higher than the prediction accuracy of the operation model Y, the controller 61 determines the operation model X to be distributed to each vehicle 3.

  Next, the controller 61 acquires the visibility and vehicle speed of each vehicle 3 and distributes the operation model X that matches the acquired visibility and vehicle speed to each vehicle 3. For example, if the visibility of the vehicle 3 is good and the vehicle speed is 30 km / h, the controller 61 delivers the case A of the operation model X indicating that the intermittent time is 10 seconds. The distributed operation model X is transmitted to the user via the speaker 40 and the display 41. By operating the intermittent time setting switch 16 according to the operation model X, the user can set the intermittent operation of the wiper 22 with excellent visibility even if the user is not familiar with the intermittent operation of the wiper 22.

  Note that the user may perform the same operation as the operation model X according to the distributed operation model X, or may not follow the distributed operation model X. That is, the user may perform an operation different from that of the operation model X. The vehicle controller 30 determines whether the user has performed the same operation as the operation model X or a different operation. After proposing the operation model X to the user, the vehicle controller 30 determines whether the user has performed the same operation as the operation model X or a different operation. When the user sets an intermittent time different from the operation model X, the vehicle controller 30 generates a new operation model based on the intermittent time setting information of the user at that time and the intermittent time of the distributed operation model X. To do. For example, the vehicle controller 30 can generate a new operation model using a neural network. In the case of the same visibility and vehicle speed, that is, when the visibility is good and the vehicle speed is 30 km / h, the vehicle controller 30 proposes a new operation model to the user. Thereby, the vehicle controller 30 can propose the operation model suitable for a user's sensitivity.

  Further, the controller 61 compares the intermittent time set for each vehicle 3 with the intermittent time of the operation model X that matches the visibility and the vehicle speed, and distributes the operation model X when they are different. Also good. Thereby, since the operation model X is not distributed to the user who has the same setting as the operation model X, the user does not feel bothered.

  Further, when the visibility deteriorates, the controller 61 may propose an operation model when it is determined that the visibility is improved by adjusting the intermittent time. The case where visibility deteriorates is, for example, a case where rain has become strong. Regarding the determination of whether or not the visibility is improved, the controller 61 compares the intermittent time set when the visibility is deteriorated with the intermittent time of the operation model X that matches the deteriorated visibility and the vehicle speed, If both are different, it is determined that the visibility is improved.

  Next, an operation example of the vehicle 3 will be described with reference to the flowchart shown in FIG. This flowchart starts when the ignition switch is turned on.

  In step S101, the storage device 20 stores user identification information, intermittent time setting information, position information, road information, raindrop amount, and vehicle speed.

  In step S <b> 103, the vehicle controller 30 transmits information stored in the storage device 20 to the data center 1.

  If the ignition switch is on in step S105 (No in step S105), the process returns to step S101. On the other hand, when the ignition switch is off (Yes in step S105), the series of processing ends.

  Next, an operation example of the data center 1 will be described with reference to the flowchart shown in FIG.

  In step S <b> 201, the storage device 60 acquires and stores information stored in the storage device 20 of each vehicle 3.

  In step S203, the controller 61 uses the user identification information and intermittent time setting information stored in the storage device 60 to extract the top 10% users with the highest operation frequency.

  In step S205, the controller 61 generates an operation model for each user using the intermittent time setting information, raindrop amount, road information, and vehicle speed of the top 10% users with the highest operation frequency.

  In step S207, the controller 61 calculates a prediction accuracy indicating the consistency of the intermittent time setting for the generated operation model.

  In step S209, the controller 61 determines an operation model with the highest prediction accuracy.

  In step S <b> 211, the controller 61 distributes the operation model having the highest prediction accuracy to each vehicle 3.

  Next, an operation example of the vehicle 3 will be described with reference to the flowchart shown in FIG. This flowchart starts when the vehicle 3 receives an operation model from the data center 1.

  In step S301, the vehicle controller 30 compares the set intermittent time with the intermittent time of the operation model. If the set intermittent time is the same as the intermittent time of the operation model (Yes in step S301), the process is repeatedly executed. On the other hand, if the set intermittent time is different from the intermittent time of the operation model (No in step S301), the process proceeds to step S303.

  In step S303, the vehicle controller 30 proposes an operation model to the user.

  In step S305, the vehicle controller 30 determines whether the user has performed the same operation as the operation model. When the user performs the same operation as the operation model (Yes in step S305), the process is repeatedly executed. On the other hand, when the user performs an operation different from the operation model (No in step S305), the process proceeds to step S307.

  In step S307, the vehicle controller 30 generates a new operation model based on the user's intermittent time setting information and the intermittent time of the operation model.

  As described above, according to the wiper function proposing system 100 according to the present embodiment, the following operational effects can be obtained.

  The controller 61 uses the user identification information stored in the storage device 60 and the intermittent time setting information of the intermittent time setting switch 16 to extract the top 10% users with the highest operation frequency. The controller 61 uses the user information of the top 10% users with the high operation frequency, the external information of the vehicle 3, and the vehicle speed of the vehicle 3 to generate the operation model of the top 10% users with the high operation frequency. The controller 61 calculates a prediction accuracy indicating the consistency of intermittent time for the generated operation model, and determines an operation model having the highest prediction accuracy. It is considered that the operation model with the highest prediction accuracy is performing an operation pursuing visibility. Therefore, according to the operation model with the highest prediction accuracy, the user operates the intermittent time setting switch 16 to appropriately set the intermittent operation of the wiper 22 even if the user is not familiar with the intermittent operation of the wiper 22. be able to. In other words, even a user who is not familiar with the intermittent operation of the wiper 22 can set the intermittent operation of the wiper 22 with excellent visibility.

  In addition, the controller 61 uses the position information of each vehicle 3 stored in the storage device 20 to obtain weather information at that position. The weather information includes at least the amount of raindrops. Thereby, the controller 61 can create the operation model of the user of the vehicle 3 in which the rain sensor 11 is not installed. Further, the controller 61 performs a predetermined process on the image captured by the camera 13 and acquires road information around each vehicle 3. The controller 61 classifies the visibility from the weather information including the raindrop amount and the road information, and generates an operation model using the classified visibility, vehicle speed, and intermittent time setting information. As described above, the controller 61 can generate an operation model suitable for the traveling environment by using the weather information including the raindrop amount, road information, vehicle speed, and intermittent time setting information.

  Further, the controller 61 compares the intermittent time set for each vehicle 3 with the intermittent time of the operation model that matches the visibility and the vehicle speed, and distributes the operation model when both are different. Thereby, an operation model with improved visibility is distributed to a user who has a setting different from the operation model. On the other hand, since the operation model is not distributed to the user who has the same setting as the operation model, the user does not feel bothered.

  In addition, when the operation model with the highest prediction accuracy is proposed to the user, when the user performs an operation different from the operation model, the controller 61 newly sets the operation model based on the intermittent time set by the user and the intermittent time of the operation model. A simple operation model. Thus, the vehicle controller 30 can generate an operation model that matches the user's sensitivity.

  Although the embodiments of the present invention have been described as described above, it should not be understood that the descriptions and drawings constituting a part of this disclosure limit the present invention. From this disclosure, various alternative embodiments, examples and operational techniques will be apparent to those skilled in the art.

  In the present embodiment, the controller 61 classifies the visibility using two parameters of the raindrop amount and the road information, but the parameters are not limited to these. The controller 61 may use the amount of solar radiation, date and time (day or night) as parameters. As the number of parameters increases, the controller 61 can classify the visibility more finely. Regarding the amount of solar radiation, the controller 61 may acquire the amount of solar radiation by providing a solar radiation amount sensor in the vehicle 3 in addition to obtaining from the weather information.

  Note that each function of the above-described embodiment may be implemented by one or a plurality of processing circuits. The processing circuit includes a programmed processing device such as a processing device including an electrical circuit. The processing circuitry also includes devices such as application specific integrated circuits (ASICs) and conventional circuit components arranged to perform the functions described in the embodiments.

DESCRIPTION OF SYMBOLS 1 Data center 2 Network 3 Vehicle 10 GPS receiver 11 Rain sensor 12 Vehicle speed sensor 13 Camera 14 Navigation device 15 Lever switch 16 Intermittent time setting switch 20, 60 Storage device 21 Wiper controller 22 Wiper 30 Vehicle controller 40 Speaker 41 Display 61 Controller 100 Wiper function proposal system

Claims (5)

Storing the vehicle speed of a plurality of vehicles, intermittent time setting information indicating an intermittent time of a wiper set by a user of each vehicle, and external information indicating external information of each vehicle in a storage device;
A user having a high frequency of intermittent time setting is extracted from the intermittent time setting information, and the intermittent time according to the vehicle speed and the external information is extracted based on the extracted intermittent time setting information, the vehicle speed, and the external information of the extracted user. A method for proposing a wiper function, comprising: generating an operation model indicating the accuracy, calculating a prediction accuracy indicating consistency of the intermittent time with respect to the operation model, and determining an operation model having the highest prediction accuracy. Storing the position information of each vehicle in the storage device, and obtaining weather information including at least a raindrop amount based on the position information;
Photographing the surroundings of each vehicle with an image sensor installed in each vehicle, obtaining road information from the captured images of each vehicle,
The wiper function proposing method according to claim 1, wherein an operation model indicating an intermittent time corresponding to the weather information, the road information, and the vehicle speed is generated.   When the intermittent time set in the wiper of each vehicle is different from the intermittent time of the operation model, the operation model is distributed to a vehicle having an intermittent time different from the intermittent time of the operation model. The method for proposing a wiper function according to claim 1 or 2, characterized in that: When the operation model with the highest prediction accuracy is proposed to the user, when the user performs an operation different from the operation model with the highest prediction accuracy,
The wiper function proposing method according to any one of claims 1 to 3, wherein a new operation model is generated based on the operation model having the highest prediction accuracy and the different operation. A storage device for storing vehicle speeds of a plurality of vehicles, intermittent time setting information indicating an intermittent time of a wiper set by a user of each vehicle, and external information indicating information outside the vehicles;
A user having a high frequency of intermittent time setting is extracted from the intermittent time setting information, and the intermittent time according to the vehicle speed and the external information is extracted based on the extracted intermittent time setting information, the vehicle speed, and the external information of the extracted user. A controller for generating an operation model indicating
The said controller calculates the prediction accuracy which shows the consistency of the said intermittent time with respect to the said operation model, and determines the operation model with the highest said prediction accuracy, The wiper function proposal system characterized by the above-mentioned.

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