JP2018039282A - Air-conditioning operation proposal method and air-conditioning operation proposal system - Google Patents

Abstract

PROBLEM TO BE SOLVED: To provide an air-conditioning operation proposal method which can perform proper air-conditioning control at each of a plurality of areas in a cabin, and an air-conditioning operation proposal system.SOLUTION: An air-conditioning operation proposal system 100 comprises: a memory device for storing operation information indicating an operation of a user of each air conditioner in each vehicle 3, and external information indicating the information of the outside of the vehicle 3; and a controller which extracts a user who is high in a frequency of the operation from the operation information which is stored in the memory device, and creates an operation model indicating an air-conditioning operation corresponding to the external information on the basis of the operation information of the extracted user and the external information. The controller calculates prediction accuracy indicating the consistency of the air-conditioning operation with respect to the operation model, and decides the operation model which is the highest in the prediction accuracy.SELECTED DRAWING: Figure 1

Description

  The present invention relates to an air conditioning operation proposal method and an air conditioning operation proposal system.

  Conventionally, a driving support system for storing setting information of an air conditioner performed by a driver is known (Patent Document 1). The driving support system described in Patent Literature 1 can perform operation support close to the operation before the change even if the driver changes the vehicle, using the setting information of the air conditioner and the identifier of the driver.

JP 2011-73565 A

  However, since the driving support system of Patent Document 1 is configured to perform learning based on the operation status of the air conditioner by the driver, the vehicle interior is divided into a plurality of areas (driver seat area, passenger seat area, rear seat area). When air conditioning control is performed, it is difficult to optimize air conditioning control for areas other than the driver's seat area even if only the driver's operation status is learned.

  The present invention has been made in view of the above problems, and an object thereof is to provide an air conditioning operation proposing method and an air conditioning operation proposing system capable of performing appropriate air conditioning control for each of a plurality of areas in a vehicle interior. It is.

  An air conditioning operation proposing method according to an aspect of the present invention extracts a user with high frequency of operation from operation information indicating a user operation of each air conditioner in each vehicle, and extracts the extracted user operation information and each vehicle Based on the external information indicating the external information, generate an operation model indicating the air conditioning operation according to the external information, calculate the prediction accuracy indicating the consistency of the air conditioning operation for the external information and the operation model, and predict The operation model with the highest accuracy is determined.

  ADVANTAGE OF THE INVENTION According to this invention, appropriate air-conditioning control can be performed for every some area in a vehicle interior.

FIG. 1 is an overall configuration diagram of an air conditioning operation proposal 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 air-conditioning operation proposal system 100 which concerns on this embodiment is demonstrated. As shown in FIG. 1, the air conditioning operation 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 driver seat air conditioner 11, a passenger seat air conditioner 12, a rear seat air conditioner 13, a vehicle speed sensor 14, an outside air temperature sensor 15, The temperature sensor 16, the solar radiation amount sensor 17, the camera 18, the navigation apparatus 19, the memory | storage device 20, the vehicle controller 30, the speaker 40, and the display 41 are provided.

  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 current location and date / time to the storage device 20.

  The driver's seat air conditioner 11 is an air conditioner installed near the driver's seat. Similarly, the passenger seat air conditioner 12 is an air conditioner installed near the passenger seat, and the rear seat air conditioner 13 is an air conditioner installed in the rear seat. Thus, in this embodiment, an air conditioner is installed for each of a plurality of areas (driver's seat area, passenger seat area, rear seat area) in the passenger compartment. Moreover, each air conditioner 11-13 can be controlled independently. A plurality of the rear seat air conditioners 13 may be installed for each rear seat, or one rear seat air conditioner 13 may be installed at a predetermined position of the rear seat.

  A user in each area operates an air conditioner installed in the area to perform air conditioning control. The operation that each user performs on each of the air conditioners 11 to 13 is hereinafter simply referred to as an air conditioning operation. When each user performs an air conditioning operation, operation information is output to the storage device 20. The operation information is information indicating the air conditioning operation performed by the user, and includes on / off, temperature, wind direction, wind speed, and the like.

  The vehicle speed sensor 14 detects the vehicle speed of the vehicle 3 and outputs the detected vehicle speed to the storage device 20.

  The outside air temperature sensor 15 detects an outside air temperature that is an outside air temperature, and outputs the detected outside air temperature to the storage device 20. The inside air temperature sensor 16 detects the inside air temperature, which is the air temperature inside the vehicle compartment, and outputs the detected inside air temperature to the storage device 20.

  The solar radiation amount sensor 17 detects the solar radiation amount to the vehicle 3 and outputs the detected solar radiation amount to the storage device 20.

  The camera 18 is a camera having an image sensor such as a CCD (charge-coupled device) or a CMOS (complementary metal oxide semiconductor), and images the interior of the vehicle 3. The camera 18 outputs the captured image to the storage device 20.

  The navigation device 19 sets a travel route to the destination set by the user.

  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, and is a microcomputer including, for example, a CPU, a ROM, a RAM, and an input / output interface. 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 18 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. Further, the vehicle controller 30 recognizes seat information of each user. Specifically, the vehicle controller 30 performs a predetermined process on the vehicle interior image captured by the camera 18 and acquires seat information in which each user is sitting. Further, the vehicle controller 30 registers user identification information and seat information of each user in the storage device 20.

  The speaker 40 is a device that guides various information to the user by voice. The display 41 is mounted on the navigation device 19 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, and is, for example, a microcomputer including 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 for each user. The controller 61 determines an operation model pursuing comfort from the generated operation models. Hereinafter, a method for generating an operation model will be described in detail.

  First, the controller 61 uses the user identification information, the operation information, and the seat information stored in the storage device 60 to extract the user's operation frequency for each seat. The operation frequency is operation information indicating the number of times each user has operated each of the air conditioners 11 to 13 in a predetermined travel time. For example, in the case of a user in the driver's seat, the operation frequency is the number of times the driver's seat air conditioner 11 is operated. The travel time of each user can be obtained from the travel history. In the following, information including user identification information, operation information, and seat information may be simply referred to as user information.

  Next, the controller 61 extracts the top 10% users with the highest operation frequency for each seat from the entire user information. The reason for extracting users with high operation frequency is that users with high operation frequency are considered to pursue comfort. The value of 10% is not limited to this, and can be changed as appropriate.

  Next, the controller 61 generates an operation model for each user for each seat, using the operation information of the top 10% users whose operation frequency is high for each seat. 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, and are users in the driver's seat. Note that the operation model generation method is the same for the passenger seat and rear seat users. As illustrated in FIG. 4A, the controller 61 generates an operation model X using the operation information of the user X and external information indicating information outside the vehicle 3. In the example shown in FIG. 4A, the controller 61 uses the outside air temperature and the amount of solar radiation as the external information. Further, the controller 61 uses the air conditioning temperature set by the user X as the operation information. At this time, the controller 61 generates an operation model using 80% of information that is randomly extracted from the operation information and external information of the user X. The remaining 20% is used for the prediction accuracy described later.

  The controller 61 uses the external information and the operation information to generate an operation model according to various external conditions. For example, the case A of the operation model X shown in FIG. 4A is an operation model indicating that when the outside air temperature is 26 degrees and the solar radiation amount is 1.0, the user X sets the air conditioning temperature to 25 degrees. is there. Similarly, Case B is an operation model indicating that when the outside air temperature is 26 degrees and the amount of solar radiation is 1.1, the user X sets the air conditioning temperature to 24 degrees. Similarly, Case C is an operation model indicating that when the outside air temperature is 27 degrees and the amount of solar radiation is 1.0, the user X sets the air conditioning temperature to 26 degrees. In addition, the numerical value of the solar radiation amount shown to FIG. 4A is an indexed numerical value, and it shows that there is so much solar radiation amount that a numerical value is large.

  As shown in FIG. 4B, the controller 61 similarly generates an operation model Y for the user Y. The cases A to C of the operation model Y are different from the operation model X only in numerical values, and thus the description thereof is omitted.

  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 and the consistency of the air conditioning operation. For example, as shown in FIG. 4A, if the outside air temperature is 26 degrees and the solar radiation amount is 1.0, the user X can be predicted to set the air conditioning temperature to 25 degrees. In calculating the prediction accuracy, the controller 61 calculates the prediction accuracy using the remaining 20% of operation information and external information that were not used in generating the operation model. Specifically, the controller 61 applies the remaining 20% of operation information and external information to the operation model, and calculates a prediction error. For example, in the remaining 20%, if there is information that the user X sets the air conditioning temperature to 24 degrees when the outside air temperature is 26 degrees and the solar radiation amount is 1.0, this information is information indicating a prediction error. It becomes. 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. The controller 61 determines an operation model to be distributed for each seat. That is, there are a plurality of operation models to be distributed.

  Next, the controller 61 acquires the outside air temperature and solar radiation amount of the environment in which each vehicle 3 is traveling, and distributes the operation model X that matches the acquired external air temperature and solar radiation amount to each vehicle 3. For example, if the outside air temperature is 26 degrees and the solar radiation amount is 1.0, the controller 61 delivers the case A of the operation model X. The distributed operation model X is transmitted to the user via the speaker 40 and the display 41. The user can perform appropriate air conditioning control by performing an operation according to the operation model X. 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. That is, after receiving the operation model X, the vehicle controller 30 acquires user operation information and determines whether the user has performed the same operation as the operation model X or a different operation. When the user performs an operation different from the operation model, the vehicle controller 30 generates a new operation model based on the operation information of the user at that time and the distributed operation model X. For example, the vehicle controller 30 can generate a new operation model using a neural network. In the case of similar external conditions, a new operation model is proposed. Thereby, the vehicle controller 30 can propose the operation model suitable for a user's sensitivity.

  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, operation information, seat information, and external information.

  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 collects and stores various information from the plurality of vehicles 3.

  In step S <b> 203, the controller 61 uses the user identification information, the operation information, and the seat information stored in the storage device 60 to extract the top 10% users with the highest operation frequency for each seat.

  In step S205, the controller 61 generates an operation model for each user for each seat using the operation information of the top 10% users whose operation frequency is high for each seat.

  In step S207, the controller 61 calculates a prediction accuracy indicating the consistency of the air conditioning operation 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 temperature setting of the air conditioner with the temperature setting of the operation model. When the temperature setting of the air conditioner is the same as the temperature setting of the operation model (Yes in step S301), the process is repeatedly executed. On the other hand, if the temperature setting of the air conditioner is the same as the temperature setting 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 operation and the operation model.

  As described above, according to the air conditioning operation proposing system 100 according to the present embodiment, the following operational effects can be obtained.

  The controller 61 uses the user identification information, the operation information, and the seat information stored in the storage device 60 to extract the top 10% users with the highest operation frequency, and uses the extracted user operation information to A user operation model is generated. The controller 61 calculates a prediction accuracy indicating the consistency of the air conditioning operation 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 performs an operation in pursuit of comfort. Therefore, according to the operation model with the highest prediction accuracy, each user can perform appropriate air conditioning control for each of a plurality of areas in the passenger compartment by operating each of the air conditioners 11 to 13.

  Moreover, the controller 61 determines the operation model with the highest prediction accuracy for each area where the air conditioner is installed. In the present embodiment, the passenger compartment is divided into several areas (driver seat area, passenger seat area, rear seat area) and air conditioning control is performed, and the controller 61 has a prediction accuracy for each divided area. Determine the highest operating model. When each user operates each air conditioner 11-13 according to the operation model with the highest prediction accuracy for each area, each user can perform appropriate air conditioning control for each of a plurality of areas in the vehicle interior.

  Further, the controller 61 can generate an operation model suitable for the traveling environment by using the outside air temperature and the amount of solar radiation as the external information of the vehicle 3.

  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 vehicle controller 30 performs a new operation based on the user operation at that time and the operation model. Generate a 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, it has been described that the controller 61 generates the operation model using the three parameters of the outside air temperature, the amount of solar radiation, and the air conditioning temperature, but the parameters are not limited thereto. The controller 61 may use the current location, date and time, vehicle speed, internal air temperature, wind speed of the air conditioner, and wind direction of the air conditioner as parameters. As the number of parameters increases, the controller 61 can generate a more detailed operation model.

  Furthermore, the controller 61 may use the presence / absence of the user at the rear seat as a parameter. Depending on the presence or absence of the user at the rear seat, the air conditioning operation of the user in the driver seat or the passenger seat may change. For this reason, the controller 61 can generate a more detailed operation model by generating an operation model using the presence / absence of the user at the rear seat. Note that the presence or absence of the user at the rear seat may be determined from the image of the camera 18.

  Further, the controller 61 can obtain the outside temperature and the amount of solar radiation of the vehicle 3 by referring to weather information from a public service or the like based on the information on the current location of the vehicle 3. Thereby, even if it is a case where the outside temperature sensor 15 and the solar radiation amount sensor 17 are not installed in the vehicle 3, the controller 61 can acquire the external temperature and solar radiation amount of the vehicle 3.

  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 Driver's seat air conditioner 12 Passenger's seat air conditioner 13 Rear seat air conditioner 14 Vehicle speed sensor 15 Outside air temperature sensor 16 Inside air temperature sensor 17 Solar radiation amount sensor 18 Camera 19 Navigation device 20, 60 Memory Device 30 Vehicle controller 40 Speaker 41 Display 61 Controller 100 Air conditioning operation proposal system

Claims (6)

An air conditioning operation proposing method in a vehicle in which a plurality of independently controllable air conditioners are installed,
Storing operation information indicating user operation of each air conditioner in each vehicle and external information indicating information outside each vehicle in a storage device;
A user having a high operation frequency is extracted from the operation information, and an operation model indicating an air conditioning operation corresponding to the external information is generated based on the extracted user operation information and the external information, and the operation model Calculating a prediction accuracy indicating the consistency of the air conditioning operation, and determining an operation model having the highest prediction accuracy.   The air conditioning operation proposal method according to claim 1, wherein an operation model having the highest prediction accuracy is determined for each area where the air conditioner is installed.   The air conditioning operation proposal method according to claim 1 or 2, wherein the external information includes one or more of an outside air temperature and an amount of solar radiation. 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 air conditioning operation proposal 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. Shoot the rear seats with the camera installed in the vehicle,
The air conditioning operation proposal method according to any one of claims 1 to 4, wherein the operation model is generated based on the presence / absence of a photographed user of the rear seat. An air conditioning operation suggestion system in a vehicle in which a plurality of independently controllable air conditioners are installed,
A storage device for storing operation information indicating a user's operation of each air conditioner in each vehicle and external information indicating information external to each vehicle;
An operation indicating an air-conditioning operation corresponding to the external information based on the extracted user operation information and the external information based on the extracted user operation information and the external information from the operation information stored in the storage device. A controller for generating a model,
The controller calculates a prediction accuracy indicating the consistency of the air conditioning operation with respect to the operation model, and determines an operation model having the highest prediction accuracy.

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