Patent Application
20220149614
The present application claims priority to and incorporates by reference the entire contents of Japanese Patent Application No. 2020-188166 filed in Japan on Nov. 11, 2020.
The present disclosure relates to a charge control system, a charge control device, and a recording medium.
In a smart city, a technique for supplying electric power stored in a charging apparatus in advance to a facility group arranged in the city is known (for example, see Japanese Laid-open Patent Publication No. 2013-069084).
There is a need for providing a charge control system, a charge control device, and a recording medium storing a charge control program capable of suppressing electric power shortage in snowfall in a smart city in advance.
According to an embodiment, a charge control system includes: a charging apparatus including a first processor configured to cause the charging apparatus to store electric power to be supplied to a preset region; a facility group installed in the region, to be supplied with electric power from the charging apparatus, and including a second processor; and a charge control device including a third processor to predict a snowfall amount in the region, calculate a snow removal electric power amount for removing snow covering the facility group based on the predicted snowfall amount, and perform charge control for causing the charging apparatus to store electric power equal to or more than the calculated snow removal electric power amount.
According to an embodiment, a charge control device including a processor to: predict a snowfall amount in a preset region; calculate a snow removal electric power amount for removing snow covering a facility group installed in the region based on the predicted snowfall amount; and perform charge control for causing a charging apparatus that supplies electric power to the region to store electric power equal to or more than the calculated snow removal electric power amount.
According to an embodiment, a non-transitory computer-readable recording medium storing a charge control program that causes a processor to: predict a snowfall amount in a preset region; calculate a snow removal electric power amount for removing snow covering a facility group installed in the region based on the predicted snowfall amount; and perform charge control for causing a charging apparatus that supplies electric power to the region to store electric power equal to or more than the calculated snow removal electric power amount.
In the related art, if snow covers a facility group (sensor, camera, charging stand, etc.) installed in a smart city during snowfall, malfunction may occur. Therefore, it is necessary to use the electric power stored in the charging apparatus for removing snow covering the facility group. However, in snowfall, the electric power consumption is more than usual due to increase in use of a heater or the like. Therefore, there has been a demand for a technique capable of suppressing electric power shortage during snowfall in advance.
A charge control system, a charge control device, and a charge control program according to an embodiment of the present disclosure will be described with reference to the drawings. The components in the following embodiment include those that can be easily replaced by those skilled in the art, or those that are substantially the same.
A charge control system including a charge control device according to the embodiment will be described with reference to
As illustrated in
The charge control device 10 is provided inside the smart city or outside the smart city. This charge control device 10 is implemented by, for example, a general-purpose computer such as a workstation or a personal computer, for example.
As illustrated in
The control unit 11 loads a program stored in the storage 13 into the work area of the main storage, executes the program, and controls each of the components and the like through the execution of the program to implement functions that meet a predetermined purpose. The control unit 11 functions as a snowfall amount prediction unit 111, an electric power amount calculation unit 112, and a charge control unit 113 through execution of a program stored in the storage 13.
The snowfall amount prediction unit 111 predicts a snowfall amount in a preset region (hereinafter, referred to as a “smart city”). A specific prediction method of the snowfall amount performed by the snowfall amount prediction unit 111 is not particularly limited, and various prediction methods can be used.
The snowfall amount prediction unit 111 can collect pieces of weather information from, for example, a server (weather server) or the like provided in the Japan Meteorological Agency or the like, and predict a snowfall amount at the time or in the future in the smart city based on the weather information. Furthermore, the snowfall amount prediction unit 111 may predict a snowfall amount at the time or in the future in the smart city using a prediction model created in advance by machine learning based on the past snowfall amount data. Furthermore, the snowfall amount prediction unit 111 may predict a snowfall amount at the time or in the future in the smart city based on a detection value by a weather sensor or the like disposed in the smart city. Note that the snowfall amount prediction unit 111 may predict a snowfall amount of at least at a place where the facility group 20 is disposed in the smart city.
The electric power amount calculation unit 112 calculates an electric power amount (hereinafter, referred to as “snow removal electric power amount”) for removing snow covering the facility group 20 based on the snowfall amount predicted by the snowfall amount prediction unit 111. Examples of the “snow removal electric power amount” include electric power supplied to a snow melting heater buried in a road surface in the smart city, electric power for driving a snow removal vehicle, and the like.
In addition, the electric power amount calculation unit 112 may predict an amount of snow covering the facility group 20 to be melted, and calculate the snow removal electric power amount in consideration of the predicted amount to be melted in addition to the snowfall amount predicted by the snowfall amount prediction unit 111. The amount of snow covering the facility group 20 to be melted can be predicted based on, for example, information included in the weather information such as temperature and air volume in the smart city. As described above, by considering not only the snowfall amount in the smart city but also the amount of snow to be melted after the snowfall, the snow removal electric power amount can be calculated more accurately. Therefore, the electric power to be stored in the charging apparatuses 30 can be optimized, and it is possible to suppress excessive electric power from being stored in the charging apparatuses 30.
In addition, the electric power amount calculation unit 112 may calculate the snow removal electric power amount in consideration of the number (scale) of facilities in which malfunction has occurred in the smart city. In this case, the electric power amount calculation unit 112 first acquires facility information from the facility group 20, and identifies equipment in which malfunction has occurred due to snow covering the equipment out of the facility group 20 based on the facility information. Note that the “facility information” indicates, for example, operating states of a sensor 21, a camera 22, and a charging stand 23 included in the facility group 20, that is, information indicating whether each facility is operating normally.
Subsequently, the electric power amount calculation unit 112 calculates the snow removal electric power amount based on the number of facilities in which malfunction has occurred and the snowfall amount predicted by the snowfall amount prediction unit 111. As described above, the snow removal electric power amount can be more accurately calculated by specifying a facility in which malfunction actually occurs due to the snowfall out of the facility group 20. Therefore, the electric power to be stored in the charging apparatuses 30 can be optimized, and it is possible to suppress excessive electric power from being stored in the charging apparatuses 30.
The charge control unit 113 performs charge control for the charging apparatuses 30 based on the electric power amounts calculated by the electric power amount calculation unit 112. The charge control unit 113 performs charge control for causing the charging apparatuses 30 to store the electric power equal to or more than the snow removal electric power amount calculated by the electric power amount calculation unit 112. A specific method of the charge control by the charge control unit 113 is not particularly limited, and for example, the charge control unit 113 may perform the charge control by determining the charge amount by the electric power amount calculation unit 112 based on the snow removal electric power amounts calculated at predetermined periods and charging information acquired in advance from the charging apparatuses 30 (for example, charge capacity at the time, etc.), and transmitting a command to set the charge amount at the time or in the future to be larger or smaller to the charging apparatuses 30 according to the charge amount.
The communication unit 12 includes, for example, a local area network (LAN) interface board, a wireless communication circuit for wireless communication, and the like. The communication unit 12 is connected to the network NW such as the Internet, which is a public communication network. The communication unit 12 communicates with the facility group 20 and the charging apparatuses 30 by connecting to the network NW.
The storage 13 includes a recording medium such as an erasable programmable ROM (EPROM), a hard disk drive (HDD), and a removable medium. Examples of the removable medium include a disc recording medium such as a universal serial bus (USB) memory, a compact disc (CD), a digital versatile disc (DVD), and a Blu-ray (registered trademark) disc (BD). The storage 13 can store an operating system (OS), various programs, various tables, various databases, and the like. In addition, for example, the snowfall amount predicted by the snowfall amount prediction unit 111, the snow removal electric power amount calculated by the electric power amount calculation unit 112, the charge amounts of the charging apparatuses 30 determined by the charge control unit 113, and the like are stored in the storage 13 as necessary.
The facility group 20 is a plurality of types of facilities installed at a predetermined place in the smart city, and operates by electric power supplied from the charging apparatuses 30. Examples of the facility group 20 include the sensor (human sensor, weather sensor, etc.) 21, the camera (a monitoring camera, etc.) 22 used for collecting pieces of information in the smart city, the charging stand (contact charging stand or non-contact charging stand) 23 for an electric vehicle and a plug-in hybrid vehicle, and the like. In addition, the facility group 20 may also include lighting, traffic signals, and the like disposed in the smart city. In addition, the facility group 20 transmits facility information indicating the operating state of the facility group 20 to the charge control device 10 occasionally or at predetermined periods.
The charging apparatuses 30 are for storing electric power to be supplied to the facility group 20, and are provided inside or outside the smart city. These charging apparatuses 30 each are implemented by, for example, a general-purpose computer such as a workstation or a personal computer. In addition, the charging apparatuses 30 each incorporate a battery for storing electric power, a control mechanism for controlling charging and discharging of electric power, and the like. In addition, the charging apparatuses 30 transmit charging information regarding the charging apparatuses 30 at the time to the charge control device 10 occasionally or at predetermined periods.
An example of a processing procedure of the charge control method performed by the charge control system 1 according to the embodiment will be described with reference to
First, the charging apparatuses 30 transmit charging information to the charge control device 10 (step S1). Subsequently, the facility group 20 transmits the facility information to the charge control device 10 (step S2). Note that the order of steps S1 and S2 may be reversed.
Subsequently, the snowfall amount prediction unit 111 of the charge control device 10 predicts a snowfall amount in the smart city based on weather information, a detection value of a weather sensor, and the like (step S3). Subsequently, the electric power amount calculation unit 112 calculates a snow removal electric power amount based on the snowfall amount in the smart city and the facility information (step S4). Subsequently, the charge control unit 113 performs charge control for the charging apparatuses 30 based on the electric power amount calculated in step S4 (step S5). Thus, the processing of the charge control method is completed.
As described above, according to the charge control system, the charge control device, and the charge control program according to the embodiment, it is possible to suppress electric power shortage in snowfall in the smart city.
That is, when it snows in the smart city, snow may cover the facility group 20 installed in the smart city, and an operation abnormality may occur. Therefore, it is conceivable to melt snow by using a snow melting heater buried in a road surface in the smart city or a snow removal vehicle. However, there is a possibility that electric power consumption peaks due to the use of heaters in general homes and various facilities, so that electric power for operating the snow melting heater or the snow removal vehicle becomes insufficient.
On the other hand, according to the charge control system, the charge control device, and the charge control program according to the embodiment, the snow removal electric power amount is calculated based on the predicted snowfall amount, and the charge control for the charging apparatuses 30 is performed based on the snow removal electric power amount, so that electric power shortage does not occur in snowfall. In addition, according to the charge control system, the charge control device, and the charge control program according to the embodiment, it is possible to secure electric power for melting snow covering the facility group 20, and thus, it is possible to suppress an operation abnormality of the facility group 20.
Furthermore, according to the charge control system, the charge control device, and the charge control program according to the embodiment, the charge control is performed such that more electric power than consumed is not stored in the charging apparatuses 30. Thus, waste of electric power and deterioration of the battery can be suppressed.
According to the present disclosure, electric power shortage in snowfall in a smart city can be suppressed in advance.
Although the disclosure has been described with respect to specific embodiments for a complete and clear disclosure, the appended claims are not to be thus limited but are to be construed as embodying all modifications and alternative constructions that may occur to one skilled in the art that fairly fall within the basic teaching herein set forth.
| Number | Date | Country | Kind |
|---|---|---|---|
| 2020-188166 | Nov 2020 | JP | national |
