JP2013027211A - Electric equipment control system and electric equipment control apparatus - Google Patents

Abstract

PROBLEM TO BE SOLVED: To provide an electric equipment control system and an electric equipment control apparatus that can control electric equipment according to more appropriate priority suited for an existing state.SOLUTION: An electric equipment control system controls a plurality of electric equipment installed in a management target area. The electric equipment control system includes: a sensor device which is installed in the area, and detects a state of the area; state acquisition means that acquires state information indicating states in the peripheries of installation positions at which the individual electric equipment is installed, from a detection result obtained by the sensor device; dynamic priority setting means that sets for each of the electric equipment dynamic priority related to control of the electric equipment, on the basis of the state information acquired by the state acquisition means.

Description

  Embodiments described herein relate generally to an electric equipment control system and an electric equipment control apparatus.

  Conventionally, in buildings such as office buildings and tenant buildings, various electric devices such as lighting devices and air conditioners are used by receiving power supply from a main power source. In such a building, a demand control system is used that controls the amount of power used by an electrical device in accordance with priorities set in advance so that demand power does not exceed contract power.

JP 2010-75015 A

  However, in the conventional demand control system, there is a problem that control according to the current situation cannot be performed because the electric device is controlled according to a fixed priority set in advance.

  An electrical device control system according to an embodiment is an electrical device control system that controls a plurality of electrical devices provided in an area to be managed, and includes a sensor device, a state acquisition unit, and a dynamic priority setting unit. And have. The sensor device is provided in the area and detects a state in the area. The state acquisition unit acquires state information indicating a state around the installation position where each of the electrical devices is provided, from the detection result of the sensor device. The dynamic priority setting unit sets a dynamic priority for controlling the electric device for each electric device based on the state information acquired by the state acquisition unit.

FIG. 1 is a diagram schematically illustrating the configuration of the electrical equipment control system according to the first embodiment. FIG. 2 is a diagram illustrating an arrangement example of the lighting device, the air conditioner, and the sensor device. FIG. 3 is a diagram schematically illustrating a hardware configuration of the management server according to the first embodiment. FIG. 4 is a diagram schematically illustrating an example of the area information table. FIG. 5 is a diagram schematically illustrating a functional configuration of the management server according to the first embodiment. FIG. 6 is a diagram schematically illustrating an example in which a person position is expressed using absolute coordinates. FIG. 7 is a diagram schematically illustrating an example in which a person position is represented in units of blocks. FIG. 8 is a diagram schematically illustrating an example of the density conversion table. FIG. 9 is a diagram schematically illustrating an example of a person attribute conversion table. FIG. 10 is a diagram schematically illustrating an example of an action content conversion table. FIG. 11 is a diagram schematically illustrating an example of the environmental state conversion table. FIG. 12 is a diagram schematically illustrating an example of the power consumption conversion table. FIG. 13 is a diagram illustrating an example of application candidates (control priority) displayed on the display unit. FIG. 14 is a flowchart illustrating a procedure of demand control processing executed by the management server according to the first embodiment. FIG. 15 is a diagram schematically illustrating a hardware configuration of the management server according to the second embodiment. FIG. 16 is a diagram schematically illustrating a functional configuration of the management server according to the second embodiment. FIG. 17 is a diagram schematically illustrating an example of the electrical device type conversion table. FIG. 18 is a diagram schematically illustrating an example of a date / time conversion table. FIG. 19 is a diagram schematically illustrating an example of the area type conversion table. FIG. 20 is a diagram schematically illustrating an example of the operating state conversion table. FIG. 21 is a flowchart illustrating a procedure of demand control processing executed by the management server according to the second embodiment. FIG. 22 is a diagram schematically illustrating a hardware configuration of the management server according to the third embodiment. FIG. 23 is a diagram schematically illustrating an example of a control history storage table. FIG. 24 is a diagram schematically illustrating a functional configuration of the management server according to the third embodiment. FIG. 25 is a diagram illustrating an example of a prediction result displayed on the display unit. FIG. 26 is a diagram schematically illustrating a functional configuration of the management server according to the fourth embodiment. FIG. 27A is a diagram schematically illustrating an example of a simulation process. FIG. 27B is a diagram schematically illustrating an example of a simulation process. FIG. 27C is a diagram schematically illustrating an example of the simulation process.

  Exemplary embodiments of an electric equipment control system and an electric equipment control device according to the present invention will be described below in detail with reference to the accompanying drawings. In the following embodiments, an example in which the electrical equipment control system and electrical equipment control apparatus according to the present invention are applied to a building such as an office building will be described.

[First Embodiment]
FIG. 1 is a diagram schematically showing a configuration of an electric equipment control system 100 according to the present embodiment. As shown in the figure, an electrical equipment control system 100 includes an illuminating device group 10 including an illuminating device 11 provided in a building, and an air conditioner group 20 including an air conditioner 21 provided in the building. And a sensor device group 30 composed of sensor devices 31 provided in the building, and a management server 40. Each device constituting the lighting device group 10, the air conditioning device group 20, and the sensor device group 30 is connected to the management server 40 via a network N such as a LAN (Local Area Network). Note that the number of lighting devices 11, air conditioning devices 21, and sensor devices 31 connected to the network N is not particularly limited.

  The lighting device 11 is an electrical device such as a lighting fixture provided in a building, and is turned on / off according to an instruction signal from the management server 40 notified via the network N. Each of the lighting devices 11 is provided with a power sensor (not shown) for detecting power consumption, and power consumption information indicating the power consumption of its own device is output to the management server 40 via the network N. It is configured to be. Note that the power consumption information includes an electrical device identifier that identifies each lighting device 11.

  The air conditioner 21 is an electrical device such as an air conditioner or an air purifier provided in a building, and operates according to an instruction signal from the management server 40 notified via the network N. In addition, each of the air conditioners 21 is provided with a power sensor (not shown) for detecting power consumption, similarly to the lighting device 11, and information (power consumption information) indicating the power consumption of its own device is provided. The information is output to the management server 40 via the network N. The power consumption information includes an electrical device identifier that identifies each air conditioner 21.

  The sensor device 31 is an imaging device such as a monitoring camera, or a sensor device such as a human sensor, an illuminance sensor, or a temperature sensor. The sensor device 31 detects a state in the building, and outputs sensor information as a detection result to the management server 40 via the network N. Here, it is assumed that the sensor information includes a sensor identifier for identifying the sensor device 31 that is the detection source. In the embodiment described below, an example in which an imaging device is used as the sensor device 31 will be described.

  FIG. 2 is a diagram illustrating an arrangement example of the lighting device 11, the air conditioner 21, and the sensor device 31. As shown in the figure, the lighting device 11, the air conditioner 21, and the sensor device 31 are installed on the ceiling portion of the area to be managed. Here, the illumination device 11 is main illumination that brightens the entire room. The air conditioner 21 adjusts the air in the room. The sensor device 31 is provided around the installation position of the lighting device 11 and the air conditioner 21, and the imaging range is set so that the entire area can be imaged by the sensor device 31 provided in the area. The sensor device 31 is configured to be able to specify the actual position (or relative positional relationship with the sensor device 31) in the room from the position (pixel position) in the image data acquired by imaging. And

  Returning to FIG. 1, the management server 40 performs demand control of the electric device based on the sensor information acquired by each of the sensor devices 31 and the power consumption information of each electric device (the air conditioner 21 and the lighting device 11). It is a server device. Hereinafter, the configuration of the management server 40 will be described.

  FIG. 3 is a diagram schematically illustrating a hardware configuration of the management server 40 according to the first embodiment. As shown in the figure, the management server 40 includes a central processing unit (CPU) 41, a read only memory (ROM) 42, a random access memory (RAM) 43, a storage unit 44, an operation unit 45, and a display. Unit 46 and communication unit 47.

  The CPU 41 comprehensively controls the operation of each unit of the management server 40 by developing and executing a predetermined program stored in the ROM 42 and the storage unit 44 in the RAM 43. In addition, the CPU 41 implements each functional unit to be described later by expanding and executing a predetermined program stored in the ROM 42 or the storage unit 44 in the RAM 43.

  The ROM 42 stores various programs executed by the CPU 41 and setting information. The RAM 43 is a main storage device and is used as a work memory for the management server 40.

  The storage unit 44 is an auxiliary storage device such as an HDD (Hard Disk Drive), and stores various programs executed by the CPU 41 and setting information (face authentication data, learning data, etc. described later). In addition, the storage unit 44 stores an area information table 441 and a dynamic priority conversion table 442 as setting information related to demand control.

  The area information table 441 is a data table that stores information related to each area to be managed in the building and information related to electrical devices and sensor devices 31 provided in the area in association with each other. Here, the unit of the area is not particularly limited and can be arbitrarily determined. For example, the entire building may be one area, an area may be defined for each floor, an area may be defined for each room, or several areas may be defined within a room such as a department unit. Good.

  FIG. 4 is a diagram schematically illustrating an example of the area information table 441. As shown in the figure, the area information table 441 includes an area identifier (area A01 and the like) for identifying each area to be managed, an area type indicating the type of area, and electric devices provided in the area. Electrical device information and sensor device information related to the sensor device 31 provided in the area are stored in association with each other.

  Here, the electric device information includes an electric device identifier for identifying the electric device, an electric device type indicated by the type of the electric device, and an installation position in the area. Note that the configuration example of the electrical equipment information is not limited to this example. For example, a character string indicating the type of electric device may be included in the electric device identifier, or other information may be stored in association with each other.

  The sensor device information includes the type of the sensor device 31 (such as an imaging device), a sensor device identifier that identifies each sensor device 31, and an installation position in the area. Note that the configuration example of the sensor device information is not limited to this example. For example, a character string indicating the type of the sensor device 31 may be included in the sensor device identifier, or other information may be stored in association with each other.

  The data format of the installation position is not particularly limited and may be expressed in any manner. For example, as in the case of a person position described later, it may be expressed in absolute coordinates with a predetermined position in the area as the origin, or the area is divided into small blocks, and the block in which the electric device exists is represented by a block number or the like. It is good also as a form expressed with an identifier.

  The dynamic priority conversion table 442 is a conversion table for converting various states derived from sensor information acquired by the sensor device 31 and power consumption information of each electric appliance into numerical values representing priority. Details of the dynamic priority conversion table 442 will be described later.

  Returning to FIG. 3, the operation unit 45 is an input device such as a keyboard and a mouse, and outputs the operation content received from the operator of the management server 40 to the CPU 41. The display unit 46 is a display device such as an LCD (Liquid Crystal Display), and displays characters, images, and the like under the control of the CPU 41.

  The communication unit 47 is a network interface connectable to the network N, and exchanges various types of information with each device connected to the network N under the control of the CPU 41.

  Next, the functional configuration of the management server 40 will be described. FIG. 5 is a diagram schematically illustrating a functional configuration of the management server 40. As shown in the figure, the management server 40 includes a sensor information acquisition unit 51, a person position acquisition unit 52, a person attribute acquisition unit 53, and action content acquisition as functional units realized by cooperation of the CPU 41 and a predetermined program. Unit 54, environmental state acquisition unit 55, power consumption acquisition unit 56, dynamic priority setting unit 57, and demand control unit 58.

  The sensor information acquisition unit 51 acquires the detection result of each sensor device 31 as sensor information via the communication unit 47. In addition, the sensor information acquisition unit 51 detects each sensor information in which sensor device 31 in which area based on the sensor identifier registered in the area information table 441 and the sensor identifier included in each sensor information. Identify what it is. In the present embodiment, since an imaging device is used as the sensor device 31, image data captured by each imaging device is sensor information.

  The person position acquisition unit 52 is a functional unit that acquires the position of a person existing in each area based on the sensor information acquired by the sensor device 31.

  Specifically, for each piece of sensor information having the same detection source (area and installation position), the person position acquisition unit 52 obtains the luminance value of each pixel constituting the image data of the sensor information each time the sensor information is acquired. It is calculated and it is determined (detected) that a person exists at the pixel position where the change amount of the luminance value is equal to or greater than a predetermined value. Then, the person position acquisition unit 52 acquires the position in the actual area where the person exists as the person position based on the pixel position where the change in the luminance value in the image data has occurred.

  In addition, the person position acquisition unit 52 represents the detected person position using absolute coordinates or block numbers in the area, and holds them in the RAM 43 or the storage unit 44 in association with the area identifier of the corresponding area. Here, FIG. 6 is a diagram schematically illustrating an example in which a person position is expressed using absolute coordinates. In the drawing, a predetermined position in the area is set as an origin (0, 0), and the positions of the persons H1 to H4 are represented by absolute coordinates (x, y) with reference to the origin. In the example of FIG. 6, the person positions of the persons H1 to H4 are represented as (80, 50), (180, 30), (400, 50), (450, 350).

  FIG. 7 is a diagram schematically showing an example in which a person position is expressed in units of blocks. In the figure, an example in which the area is divided into 18 blocks is shown, and identifiers A to F and 1 to 3 are given to the x-axis direction and the y-axis direction to identify each block. . In the example of FIG. 7, each person position of the persons H1 to H4 is represented as (B1), (C3), (E1), and (F3).

  The person position acquisition method is not limited to the above example, and a known technique such as a face detection technique may be used. When a human sensor or the like is used as the sensor device 31, a person position acquisition method corresponding to the sensor type is used.

  The person attribute acquisition unit 53 is a functional unit that acquires information about a person who exists in each area. Specifically, the person attribute acquisition unit 53 extracts a face image corresponding to the face portion of the person from the image data determined to be present by the person position acquisition unit 52. The person attribute acquisition unit 53 also includes attribute information such as each person's name, ID, gender, job title and title (eg, employee, customer, VIP, etc.), and data representing the face image and characteristics of the person. Face authentication is performed by referring to face authentication data (not shown) associated with (hereinafter referred to as “matching data”), and matching the matching data with the face image extracted from the image data. When the person attribute acquisition unit 53 specifies the matching data corresponding to the face image extracted from the image data, the person attribute acquisition unit 53 acquires attribute information associated with the matching data, and is acquired by the person position acquisition unit 52. It is stored in association with the person position of the corresponding person.

  The action content acquisition unit 54 is a functional unit that acquires, for a person existing in each area, the action content performed by the person. Specifically, the action content acquisition unit 54 extracts a tendency of change from a plurality of continuous image data determined to have a person by the person position acquisition unit 52, and the person performs from the extracted tendency of change. Identify (acquire) action content. Then, the action content acquisition unit 54 holds the acquired action content of the person in association with the person position of the corresponding person acquired by the person position acquisition unit 52.

  Here, a publicly known method can be used as a method for specifying the action content. For example, a tendency of image change (change in luminance value, etc.) that occurs when an action such as walking or PC work is taken is acquired by learning or the like, and learning data associated with the action content is stored in the storage unit 44 or the like. In addition, when the same tendency as the learning data is observed at the person position in the acquired image data, it is possible to identify the action content based on the learning data by regarding it as the action content associated with the learning data. is there. The method for specifying the action content is not limited to this, and the action content may be specified by performing pattern matching with a pattern image representing each action stored in advance.

  The environmental state acquisition unit 55 is a functional unit that acquires the environmental state around the installation position of the sensor device 31 existing in each area based on the sensor information acquired by the sensor device 31. Specifically, the environmental state acquisition unit 55 derives the illuminance from the luminance value of each pixel constituting the image data of the sensor information for the sensor information having the same detection source (area and installation position), and uses the sensor information as the sensor information. Obtained as the environmental state around the detected installation position of the sensor device 31. Then, the environmental state acquisition unit 55 stores the acquired environmental state in the RAM 43 or the storage unit 44 in association with the sensor identifier of the corresponding sensor device 31.

  In the present embodiment, the sensor device 31 acquires the illuminance as the environmental state, but the present invention is not limited to this. For example, the amount of opening of a blind and the ON / OFF state of PC may be sufficient. Further, the environmental information may not be acquired by the sensor device 31 but may be acquired by an individual sensor such as an illuminometer.

  The power consumption acquisition unit 56 acquires power consumption information from a power sensor provided in each electric device via the communication unit 47. In addition, the power consumption acquisition unit 56 is based on the electrical device identifier registered in the area information table 441 and the electrical device identifier included in each power consumption information, and in which area of the electrical device each of the product power information. Determine if it was detected.

  Registered in the area information table 441 by the functions of the sensor information acquisition unit 51, person position acquisition unit 52, person attribute acquisition unit 53, action content acquisition unit 54, environment state acquisition unit 55, and power consumption acquisition unit 56 described above. For each area, the state of electrical devices and persons existing in the area and the environmental state in the area are acquired in real time. Hereinafter, various information acquired by the functions of the sensor information acquisition unit 51, the person position acquisition unit 52, the person attribute acquisition unit 53, the action content acquisition unit 54, the environmental state acquisition unit 55, and the power consumption acquisition unit 56 are generically named. And written as “status information”.

  In the above description, the person position acquisition unit 52, the person attribute acquisition unit 53, and the action content acquisition unit 54 are functions of the management server 40. However, the management server 40 is provided with a processing function on the sensor device 31 (imaging device) side. The person position, person attribute, and action content acquired on the sensor device 31 side may be input. The same applies when the environmental state acquisition unit 55 acquires the environmental state based on the sensor information of the sensor device 31.

  The dynamic priority setting unit 57 is a functional unit that sets the dynamic priority related to the control of the electric device to each of the electric devices installed in the area based on the state information of each area. In the present embodiment, the dynamic priority means that the lower the numerical value, the higher the priority (the same applies to the control priority and static priority described later).

  As illustrated in FIG. 5, the dynamic priority setting unit 57 includes a density conversion unit 571, a person attribute conversion unit 572, an action content conversion unit 573, an environment state conversion unit 574, and a power consumption conversion unit 575.

  Based on the installation position of the electrical device registered in the area information table 441 and the person position acquired by the person position acquisition unit 52, the density conversion unit 571 calculates the number of persons present in a predetermined range around the electrical device. Calculated as density. And the density conversion part 571 sets the dynamic priority according to the density calculated for every electric equipment to a corresponding electric equipment.

  Specifically, for each area registered in the area information table 441, the density conversion unit 571 determines whether the person position acquired by the person position acquisition unit 52 is included in a predetermined range centered on the installation position of the electrical device. The number of person positions determined to be included is calculated as the density. For example, when the installation position of the electric device is expressed in a coordinate system in units of meters, the number of persons existing within a predetermined meter (for example, 3 m) centered on the installation position of the electric device is calculated as the density. In addition, when the installation position of the electric device is expressed in units of blocks, the number of people present in the eight blocks around the block where the electric device exists is calculated as the density.

  Further, the density conversion unit 571 sets a dynamic priority according to the value of density for the electric device based on the density calculated for each electric device. Here, the value of the dynamic priority may be derived by using a predetermined conversion function that defines the relationship between the density and the dynamic priority, or as the dynamic priority conversion table 442 of the storage unit 44. It is good also as a form derived | led-out using the stored density conversion table.

  FIG. 8 is a diagram schematically illustrating an example of the density conversion table. As shown in the figure, the density conversion table 442a stores each value of density (number of people) and dynamic priority in association with each other. When this density conversion table 442a is used, the density conversion unit 571 reads the dynamic priority corresponding to the calculated density from the density conversion table 442a and sets the dynamic priority in the electric device. Note that the density and dynamic priority values registered in the density conversion table 442a are not limited to the example in FIG.

  The person attribute conversion unit 572 has acquired the installation position of the electric device registered in the area information table 441, the person position acquired by the person position acquisition unit 52, and the person at this person position acquired by the person attribute acquisition unit 53. Based on the person attribute, a dynamic priority corresponding to the type of the person attribute is set for an electric device installed around the person position of the person. Here, the value of the dynamic priority may be derived using a predetermined conversion function that defines the relationship between the person attribute and the dynamic priority, or the dynamic priority conversion table 442 of the storage unit 44. It is good also as a form derived | led-out using the person attribute conversion table memorize | stored as.

  FIG. 9 is a diagram schematically illustrating an example of a person attribute conversion table. As shown in the figure, the person attribute conversion table 442b stores the person attribute type and the dynamic priority in association with each other. When this person attribute conversion table 442b is used, the person attribute conversion unit 572 reads, from the person attribute conversion table 442b, the dynamic priority corresponding to the person attribute acquired by the person attribute acquisition unit 53 for each person. Set to electrical equipment around the person's position. It should be noted that the person attributes and dynamic priority values registered in the person attribute conversion table 442b are not limited to the example in FIG.

  The action content conversion unit 573 has been acquired by the action content acquisition unit 54 for the installation position of the electrical device registered in the area information table 441, the person position acquired by the person position acquisition unit 52, and the person at this person position. Based on the action content, the dynamic priority corresponding to the action content is set for the electrical equipment around the person's position. Here, the value of the dynamic priority may be derived using a predetermined conversion function that defines the relationship between the action content and the dynamic priority, or the dynamic priority conversion table 442 of the storage unit 44. It is good also as a form derived | led-out using the action content conversion table memorize | stored as.

  FIG. 10 is a diagram schematically illustrating an example of an action content conversion table. As shown in the figure, the action content conversion table 442c stores the action content type (walking, stopping, desk work) and the dynamic priority in association with each other. When using this behavior content conversion table 442c, the behavior content conversion unit 573 reads the dynamic priority corresponding to the behavior content acquired by the behavior content acquisition unit 54 for each person from the behavior content conversion table 442c, and the person Set to electrical equipment around the person's position. Note that the action content and the dynamic priority value registered in the action content conversion table 442c are not limited to the example of FIG.

  The environmental state conversion unit 574 is based on the installation position of the electrical device and the sensor device 31 registered in the area information table 441 and the environmental state acquired by the environmental state acquisition unit 55, and dynamically prioritizes according to the environmental state. The degree is set to the electrical equipment around the installation position of the sensor device 31 where the sensor information related to the environmental state is detected. Here, the value of the dynamic priority may be derived using a predetermined conversion function that defines the relationship between the environmental state and the dynamic priority, or the dynamic priority conversion table 442 of the storage unit 44. It is good also as a form derived | led-out using the environmental state conversion table memorize | stored as.

  FIG. 11 is a diagram schematically illustrating an example of the environmental state conversion table. As shown in the figure, each environmental state (illuminance: lux) value and dynamic priority are stored in association with each other in the environmental state conversion table 442d. When this environmental state conversion table 442d is used, the environmental state conversion unit 574 reads the dynamic priority corresponding to the environmental state acquired for the sensor device 31 of each area from the environmental state conversion table 442d, and the sensor device 31. Set to electrical equipment around the installation position. Note that the environmental state and dynamic priority values registered in the environmental state conversion table 442d are not limited to the example in FIG.

  Based on the installation position of the electrical device registered in the area information table 441 and the power consumption of each electrical device acquired by the power consumption acquisition unit 56, the power consumption conversion unit 575 performs dynamic priority according to the power consumption. The degree is set to the electrical device from which the power consumption is obtained. Here, the value of the dynamic priority may be derived using a predetermined conversion function that defines the relationship between the power consumption and the dynamic priority, or the dynamic priority conversion table 442 of the storage unit 44. It is good also as a form derived | led-out using the power consumption conversion table memorize | stored as.

  FIG. 12 is a diagram schematically illustrating an example of the power consumption conversion table. As shown in the figure, in the power consumption conversion table 442e, each value of the power consumption divided in a predetermined range and the dynamic priority are stored in association with each other. When this power consumption conversion table 442e is used, the power consumption conversion unit 575 reads the dynamic priority corresponding to the power consumption acquired for the electrical devices in each area from the power consumption conversion table 442e, and acquires the power consumption. Set to the original electrical equipment. Note that the power consumption and dynamic priority values registered in the power consumption conversion table 442e are not limited to the example in FIG.

  The area information table 441 is obtained by the functional units (density conversion unit 571, person attribute conversion unit 572, action content conversion unit 573, environment state conversion unit 574, and power consumption conversion unit 575) of the dynamic priority setting unit 57 described above. One or a plurality of types of dynamic priorities are set for each electrical device registered for each area.

  The demand control unit 58 is a functional unit that performs demand control of an electrical device based on the dynamic priority set for each electrical device. Specifically, the demand control unit 58 derives one control priority related to demand control from various dynamic priorities set for the electric device for each electric device at the same installation position. Here, the demand control part 58 derives | leads-out control priority CP for every electric equipment of the same installation position, for example using following formula (1).

In the above formula (1), the identifier i is an identifier for identifying various dynamic priorities assigned by the dynamic priority setting unit 57. For example, i = 1 is the dynamic priority given by the density conversion unit 571, i = 2 is the dynamic priority given by the person attribute conversion unit 572, etc. Assume that the type is associated in advance. “M” corresponds to the number of types of dynamic priority assigned by the dynamic priority setting unit 57 (“5” in this embodiment). AP _i is a variable into which the dynamic priority of the type corresponding to the identifier i is substituted, and α _i is a predetermined coefficient corresponding to the dynamic priority of the identifier i.

Note that the number of types of dynamic priority used for deriving the control priority CP is not particularly limited, and may be one. Also, a plurality of control priorities may be derived by changing the value of the coefficient α _i and the combination of dynamic priorities used for deriving the control priority CP. In this case, as shown in FIG. 13, the demand control unit 58 uses the combination of a plurality of control priorities CP (CP1 to CP3) and the derivation formula used for deriving the control priority CP as application candidates as the display unit 46. The derivation expression (control priority CP) used for demand control may be selected by the operator via the operation unit 45.

  In addition, the demand control unit 58 is based on the control priority CP derived for each electrical device when the total power consumption acquired by the power consumption acquisition unit 56 exceeds a predetermined threshold (for example, contract power). Demand control is performed preferentially from the one with the smallest control priority CP. Specifically, the demand control unit 58 transmits instruction information for instructing reduction or stop of power consumption to an electric device having a high control priority CP, so that the total power consumption becomes equal to or less than the threshold value. Control.

  Note that the unit for performing demand control may be each area registered in the area information table 441 or the entire area. For example, if contract power is defined for each area, the control priority derived for each electrical device when the total power consumption of the electrical devices installed in the area exceeds or just exceeds the contract power What is necessary is just to perform demand control based on CP.

  Hereinafter, the operation of the management server 40 will be described with reference to FIG. Here, FIG. 14 is a flowchart illustrating a procedure of demand control processing executed by the management server 40 according to the first embodiment.

  First, the sensor information acquisition part 51 acquires the detection result detected by each of the sensor apparatuses 31 as sensor information (step S11). Here, the timing at which the sensor information is acquired is not particularly limited, and may be performed every time detection is performed by the sensor device 31, or may be performed every predetermined time interval (for example, every 1 second or every 10 seconds). Also good.

  The person position acquisition unit 52 acquires a person position of a person existing in each area based on the sensor information acquired in step S11 (step S12). The person attribute acquisition unit 53 performs face authentication based on the face image of the person included in the sensor information acquired in step S11. When the authentication is established, the person attribute acquisition unit 53 acquires the attribute information of the person (step S13). . The action content acquisition unit 54 acquires the action contents of each person from the change tendency of the sensor information acquired in step S11 (step S14). The environmental state acquisition unit 55 acquires the environmental state around the installation position of the sensor device 31 based on the sensor information acquired in step S11 (step S15). Moreover, the power consumption acquisition part 56 acquires power consumption information from the power sensor provided in each electric device (step S16). The execution order of steps S12 to S16 is not particularly limited, and the execution order may be changed or any step may be skipped.

  Subsequently, the dynamic priority setting unit 57 calculates various dynamic priorities from the various information obtained in steps S12 to S16, and sets the calculated dynamic priorities in the corresponding electric devices (step S17).

  The demand control unit 58 derives one control priority from the various dynamic priorities set for each of the electrical devices in step S17 by using the above formula (1), and assigns the control priority to each corresponding electrical device. Set (step S18). Next, the demand control unit 58 determines whether or not the total power consumption acquired in step S16 is equal to or greater than a predetermined threshold (step S19). Here, when the total power consumption is less than the predetermined threshold (step S19; No), the process returns to step S11 again.

  On the other hand, in step S19, when the total power consumption is equal to or greater than a predetermined threshold (step S19; Yes), the demand control unit 58 determines the value based on the control priority of each electrical device derived in step S18. Demand control is performed preferentially from an electric device having a smaller priority, that is, an electric device with a higher priority (step S20), and the process returns to step S11 again.

  As described with reference to FIG. 13, when a plurality of control priorities are derived for one electrical device, the display unit 46 can select the plurality of derived control priorities at a timing immediately before step S20 or the like. It is assumed that one control priority selected via the operation unit 45 is set to the corresponding electrical device.

  In the electrical equipment that has received the instruction information from the demand control unit 58, the power consumption is reduced or the operation is stopped according to the instruction information. As a result, in the area that is subject to demand control, control is performed so that the total power consumption of the electrical device is equal to or less than a predetermined threshold value.

  As described above, according to the first embodiment, it is possible to set the control priority related to demand control to each electric device based on the state information indicating the current state of each area. It is possible to control the electric device in accordance with a more appropriate control priority in accordance with the above.

[Second Embodiment]
Next, a second embodiment will be described. In the first embodiment, the mode in which the dynamic priority of each electrical device is calculated based on the state information acquired in real time and one control priority is derived from the dynamic priority has been described. In the second embodiment, a mode will be described in which the control priority is derived in consideration of the static priority defined for a predetermined condition. In addition, about the element similar to 1st Embodiment, the same code | symbol is provided and description is abbreviate | omitted.

  FIG. 15 is a diagram schematically illustrating a hardware configuration of the management server 40a according to the second embodiment. As shown in the figure, the management server 40 a includes a CPU 41, a ROM 42, a RAM 43, a storage unit 44 a, an operation unit 45, a display unit 46, and a communication unit 47.

  The storage unit 44a stores a static priority conversion table 443 in addition to the area information table 441 and the dynamic priority conversion table 442 described above. Here, the static priority conversion table 443 is a data table for converting a static condition that does not depend on state information acquired in real time into a numerical value representing the static priority. Details of the static priority conversion table 443 will be described later.

  FIG. 16 is a diagram schematically illustrating a functional configuration of the management server 40a according to the second embodiment. As shown in the figure, the management server 40a includes a sensor information acquisition unit 51, a person position acquisition unit 52, a person attribute acquisition unit 53, and action content acquisition as functional units realized by the cooperation of the CPU 41 and a predetermined program. Unit 54, environmental state acquisition unit 55, power consumption acquisition unit 56, dynamic priority setting unit 57, static priority setting unit 59, and demand control unit 58a.

  The static priority setting unit 59 is a functional unit that sets a static priority according to a predetermined condition or state for each electric device. As illustrated in FIG. 16, the static priority setting unit 59 includes an electrical device type conversion unit 591, a date / time conversion unit 592, an area type conversion unit 593, and an operating state conversion unit 594.

  The electric device type conversion unit 591 sets a static priority according to the device type registered in the area information table 441 to the corresponding electric device. Here, the static priority according to the device type may be derived using a predetermined conversion function that defines the relationship between the device type and the static priority, or the static priority of the storage unit 44a. It is good also as a form derived | led-out using the electrical equipment classification conversion table memorize | stored as the conversion table 443. FIG.

  FIG. 17 is a diagram schematically illustrating an example of the electrical device type conversion table. As shown in the figure, in the electrical device type conversion table 443a, the device type (air conditioning and lighting) of the electrical device and the static priority are stored in association with each other. When using this electrical device type conversion table 443a, the electrical device type conversion unit 591 reads out the static priority corresponding to the device type of each electrical device registered in the area information table 441 from the electrical device type conversion table 443a, Set to that electrical device. Note that the device type and the static priority value registered in the electric device type conversion table 443a are not limited to the example in FIG.

  The date and time conversion unit 592 acquires the current date and time using a timing device such as an RTC (Real Time Clock) built in the management server 40a, and assigns static priority according to the current date and time to each electric device. Here, the static priority according to the current date and time may be derived using a predetermined conversion function that defines the relationship between the current date and time and the static priority, or the static priority of the storage unit 44a. It is good also as a form derived | led-out using the date conversion table memorize | stored as the conversion table 443. FIG.

  FIG. 18 is a diagram schematically illustrating an example of a date / time conversion table. As shown in the figure, each time range and static priority are stored in association in the date / time conversion table 443b. When this date / time conversion table 443b is used, the date / time conversion unit 592 reads out the static priority of the time range including the current time from the date / time conversion table 443b and sets the static priority in each electrical device registered in the area information table 441. . Note that the time range and static priority values registered in the date / time conversion table 443b are not limited to the example in FIG.

  Based on the area type of each area registered in the area information table 441, the area type conversion unit 593 sets a static priority according to the area type for the electrical device provided in the area. Here, the static priority according to the area type may be derived using a predetermined conversion function that defines the relationship between the area type and the static priority, or the static priority of the storage unit 44a. It is good also as a form derived | led-out using the area classification conversion table memorize | stored as the conversion table 443. FIG.

  FIG. 19 is a diagram schematically illustrating an example of the area type conversion table. As shown in the figure, the area type conversion table 443c stores the area type (passage, common section, office) and static priority in association with each other. When this area type conversion table 443c is used, the area type conversion unit 593 reads the static priority corresponding to the area type of the area from the area type conversion table 443c for each area registered in the area information table 441. Set to electrical equipment installed in the area. Note that the area type and the static priority value registered in the area type conversion table 443c are not limited to the example in FIG.

  The operating state conversion unit 594 records the operating state of each electrical device registered in the area information table 441 in the storage unit 44a or the like based on the power consumption acquired by the power consumption acquisition unit 56, and from this recording result. Static priority according to the tendency of the operating state of each electrical device to be guided is set for the electrical device. For example, the operating time for a predetermined period such as one week or one month is recorded, and the operating rate obtained by dividing the operating time by the predetermined period can be used as the tendency of the operating state. Here, the static priority according to the trend of the operating state may be derived using a predetermined conversion function that defines the relationship between the operating state and the static priority, or may be static in the storage unit 44a. It is good also as a form derived | led-out using the operating state conversion table memorize | stored as the priority conversion table 443. FIG.

  FIG. 20 is a diagram schematically illustrating an example of the operating state conversion table. As shown in the figure, the operating rate conversion table 443d stores an operating rate and a static priority in association with each other. When using this operation state conversion table 443d, the operation state conversion unit 594 uses the static priority corresponding to the operation rate based on the operation rate for a predetermined period derived for each electrical device registered in the area information table 441. Is read from the operating state conversion table 443d and set to the corresponding electrical device. Note that the static priority value registered in the operating state conversion table 443d is not limited to the example of FIG. Further, it is assumed that the period during which the operating state is recorded can be arbitrarily set. For example, when the management server 40a is introduced, the static priority is set using the recording result for one week from the introduction, and thereafter the static priority is updated using the record for the past one month every month. It is good also as a form.

  Areas registered in the area information table 441 by the functional units (electrical device type conversion unit 591, date / time conversion unit 592, area type conversion unit 593, and operation state conversion unit 594) of the static priority setting unit 59 described above. One or a plurality of types of static priorities are set for each electric device.

  The demand control unit 58a is a functional unit that performs demand control based on the dynamic priority and static priority set for each electrical device. Specifically, the demand control unit 58a derives one control priority related to demand control from various dynamic priorities and static priorities set for each electrical device at the same installation position. To do. Here, the demand control part 58a derives | leads-out control priority CP for every electric equipment of the same installation position, for example using following formula (2).

In the second term on the right side of the formula (2), the identifier j is an identifier for identifying various static priorities assigned by the static priority setting unit 59. For example, the value of the identifier j and the static priority, such as j = 1 is a dynamic priority given by the electrical device type conversion unit 591 and j = 2 is a dynamic priority given by the date / time conversion unit 592. Are associated in advance. “N” corresponds to the number of static priority types assigned by the static priority setting unit 59 (“4” in this embodiment). SP _j is a variable to which the static priority of the type corresponding to the identifier j is substituted, and β _j is a predetermined coefficient corresponding to the static priority of the identifier j.

Note that the number of types of dynamic priority and static priority used for deriving the control priority CP is not particularly limited and may be one. A plurality of control priorities may be derived by changing the values of the coefficients α _i and β _j and the combination of the dynamic priority and the static priority used to derive the control priority CP. In this case, as described with reference to FIG. 13, the demand control unit 58a displays a set of a plurality of control priority CPs and a derivation formula used to derive the control priority CP as application candidates on the display unit 46, The derivation formula (control priority CP) used for demand control may be selected by the operator via the operation unit 45.

  In addition, the demand control unit 58a, based on the control priority CP derived for each electrical device, when the total power consumption acquired by the power consumption acquisition unit 56 exceeds a predetermined threshold (for example, contract power). Demand control is performed preferentially from the one with the smallest control priority CP. Specifically, the demand control unit 58a transmits instruction information for instructing reduction or stop of power consumption to an electric device having a high control priority CP, so that the total power consumption becomes equal to or less than the threshold value. Control.

  Hereinafter, the operation of the management server 40a will be described with reference to FIG. Here, FIG. 21 is a flowchart showing a procedure of demand control processing executed by the management server 40a. In addition, since the processing content of step S31-S37 is the same as that of step S11-S17 demonstrated in FIG. 14, description is abbreviate | omitted.

  In step S38, the demand control unit 58a performs various dynamic priorities set for each of the electric devices in step S37 and various static priorities set in advance for each electric device by the static priority setting unit 59. Based on the priority, using the above equation (2), one control priority is derived for each electrical device and set to the corresponding electrical device (step S38). Next, the demand control unit 58a determines whether or not the total power consumption acquired in step S36 is equal to or greater than a predetermined threshold (step S39). Here, when the total power consumption is less than the threshold (step S39; No), the process returns to step S31 again.

  On the other hand, in step S39, when the total power consumption is equal to or greater than the threshold (step S39; Yes), the demand control unit 58a has a higher value based on the control priority of each electrical device derived in step S38. Demand control is performed preferentially from a small electrical device, that is, an electrical device with a high priority (step S40), and the process returns to step S31 again.

  In the electrical device that has received the instruction information from the demand control unit 58a, the power consumption is reduced or the operation is stopped according to the instruction information. As a result, in the area that is subject to demand control, control is performed so that the total power consumption of the electrical device is equal to or less than a predetermined threshold value.

  As described above, according to the second embodiment, it is possible to set the control priority related to demand control to each electric device based on the state information indicating the current state of each area. It is possible to control the electric device in accordance with a more appropriate control priority in accordance with the above. In addition, for static conditions such as electrical device type, date and time, area type, operating status, etc., the control priority can be corrected by the static priority according to each condition, so it is more suitable for the usage environment of each electrical device. The electrical equipment can be controlled according to the control priority.

[Third Embodiment]
Next, a third embodiment will be described. In the third embodiment, a mode will be described in which the control priority set for each electrical device is predicted from the amount of change in state information acquired in the past. In addition, about the element similar to the said embodiment, the same code | symbol is provided and description is abbreviate | omitted.

  FIG. 22 is a diagram schematically illustrating a hardware configuration of the management server 40b according to the third embodiment. As shown in the figure, the management server 40b includes a CPU 41, a ROM 42, a RAM 43, a storage unit 44b, an operation unit 45, a display unit 46, and a communication unit 47.

  The storage unit 44b includes a control history storage table 444 in addition to the area information table 441 and the dynamic priority conversion table 442 described above.

  For each area registered in the area information table 441, the control history storage table 444 includes a history of state information acquired at a plurality of points in time during the past predetermined period (hereinafter referred to as state history), It is a data table in which control priority history (hereinafter referred to as control priority history) set for each electrical device in the area at each time is stored in association with each other.

  FIG. 23 is a diagram schematically illustrating an example of the control history storage table 444. As shown in the figure, in the control history storage table 444, the area identifier of each area, the state history of the area (“illuminance” in FIG. 23), and each electric device (electric device identifier) of the area are set. Are stored in association with each other. The information stored in the control history storage table 444 is based on state information acquired during a predetermined period in the past. For example, information recorded on the same day of the previous year may be used. In FIG. 23, the state history and the control priority history are represented in a form in which the change tendency is represented by a graph. However, the present invention is not limited to this.

  FIG. 24 is a diagram schematically illustrating a functional configuration of the management server 40b according to the third embodiment. As shown in the figure, the management server 40b includes a sensor information acquisition unit 51, a person position acquisition unit 52, a person attribute acquisition unit 53, and action content acquisition as functional units realized by cooperation of the CPU 41 and a predetermined program. Unit 54, environmental state acquisition unit 55, power consumption acquisition unit 56, dynamic priority setting unit 57, control priority prediction unit 60, and demand control unit 58b.

  When the control priority predicting unit 60 detects a change in the state information of each area acquired in real time, a state history that matches or resembles the tendency of the change is stored in the control history storage table 444. Search from the status history of the same area. Here, the index for determining similarity can be arbitrarily set. For example, it is possible to determine that the ratios (gradients) of changes per time are approximately the same.

  In addition, the control priority prediction unit 60 reads the state history determined to be coincident or similar from the control history storage table 444, and controls the control priority history of each electrical device associated with the change tendency of the area. Read from the history storage table 444. Then, the control priority prediction unit 60 causes the display unit 46 to display the state history and the control priority history read from the control history storage table 444 as prediction results.

  Here, FIG. 25 is a diagram illustrating an example of a prediction result displayed on the display unit 46. The figure shows an example in which three sets of prediction results are presented for the same area (area A01). Here, the solid line L11 graph indicating the area change amount represents the change amount of the state information acquired in real time, and the broken line L12 graph represents the state history read from the control history storage table 444. . The solid line L21 graph indicating the control priority change amount represents the control priority change amount set according to the change in the state information, and the broken line L22 graph is read from the control history storage table 444. Represents a control priority history.

  In addition, it is good also as a form which updates the prediction result displayed on the display part 46 dynamically according to the status information acquired in real time. In this case, since the state history determined to be coincident or similar is narrowed down according to the change amount of the state information acquired in real time, a prediction result closer to the current state can be derived. . For example, in the case of FIG. 25, as the amount of change in the state information acquired in real time (solid line L11) increases in parallel, decreases, or increases, narrowing down to any one prediction result is performed.

  The prediction result displayed on the display unit 46 is configured to be selectable. When one prediction result is selected via the operation unit 45, the selected prediction result is notified to the demand control unit 58b. The

  Returning to FIG. 24, the demand control unit 58b has the same function as the demand control unit 58 described above. Further, as a function unique to the present embodiment, the demand control unit 58b controls the control priority of the control priority history included in the prediction result selected via the operation unit 45 under the control of the control priority prediction unit 60. Is used to perform demand control of each electrical device in the corresponding area. For example, when any one of the three sets of prediction results shown in FIG. 25 is selected, the control priority of the control priority history of the selected prediction result is assigned to each electric device. Set sequentially along the series.

  Note that the function of the control priority predicting unit 60 is enabled when the display of the prediction result is instructed via the operation unit 45. The control priority derived from the dynamic priority is applied when there is no matching or similar state history in the control history storage table 444, or when no prediction result is selected. It is good also as a form.

  As described above, according to the third embodiment, future state information is obtained using the history of state information acquired in a predetermined period in the past and the history of control priority set for each electrical device in the predetermined period. Therefore, it is possible to reflect the history of control priority in the demand control, so that it is possible to improve the convenience related to the control of the electric device.

[Fourth Embodiment]
Next, a fourth embodiment will be described. In the third embodiment described above, a mode has been described in which future state information transition is predicted recursively based on past state information (state history). In the fourth embodiment, a description will be given of a mode in which future state information transition is predicted a priori from current state information. In addition, about the element similar to the said embodiment, the same code | symbol is provided and description is abbreviate | omitted.

  FIG. 26 is a diagram schematically illustrating a functional configuration of the management server 40c according to the fourth embodiment. As shown in the figure, the management server 40c includes a sensor information acquisition unit 51, a person position acquisition unit 52, a person attribute acquisition unit 53, and action content acquisition as functional units realized by the cooperation of the CPU 41 and a predetermined program. Unit 54, environmental state acquisition unit 55, power consumption acquisition unit 56, dynamic priority setting unit 57, simulation processing unit 61, and demand control unit 58c. The hardware configuration of the management server 40c is the same as the hardware configuration of FIG.

  Based on the state information of each area acquired in real time and the control priority set for each electrical device in the area, the simulation processing unit 61 performs demand control of each electrical device with the control priority. It is realized virtually by simulating the broken state. Specifically, the simulation processing unit 61 simulates how the state of the person or environment (state information) in each area changes, so that the control priority of each electric device is given with the change of the state information. Predict how the degree will change.

  For example, in the form in which the control priority is derived using the “density” acquired by the density conversion unit 571, it is assumed that the control priority is predicted to change from the state information illustrated in FIG. . Here, FIG. 27A is a diagram schematically illustrating an example of a simulation process. In the area of the figure, illuminations E11 to E18 and air conditioners E21 and E22 are provided as electric devices. Also, an example is shown in which three levels of control priority (high, medium, low) are set for each electrical device depending on the density of the persons H1 to H4 existing around each electrical device.

  In the state information shown in FIG. 27A, the simulation processing unit 61 simulates the state of demand control in which the power source of the electric device having a high control priority is turned off in order to satisfy the energy saving and demand response command. At this time, the simulation processing unit 61 predicts the behavior of each person H1 to H4 that is generated when the electric device is powered off. For example, in FIG. 27-1, when the lighting E11, E13, E14 and the air conditioning E21 having the control priority “high” are turned off, the lighting and air conditioning environment of the person H1 deteriorates as shown in FIG. Therefore, the simulation processing unit 61 predicts that the productivity of the person H1 is reduced. Then, as shown in FIG. 27-3, the simulation processing unit 61 predicts that the person H1 will move to a place where the environment of lighting and air conditioning is better, and the control priority of the lighting E12 is increased by this movement. Predict the change to “high”.

  In addition, about the simulation which the simulation process part 61 performs, well-known techniques, such as data mining, shall be used. As for data used for data mining, etc., a history of changes in state information acquired for each area in the past, density and action contents derived by each functional unit of the dynamic priority setting unit 57 is used. Shall. The control history storage table 444 described above may be used.

  Returning to FIG. 26, the simulation processing unit 61 associates the current state information of each area with the simulation result for the area, and causes the display unit 46 to display the prediction result. The display form here is not particularly limited, and may be a display form with a predetermined GUI representing the states shown in FIGS. 27-1 to 27-3, or parameters such as control priority of each electrical device. The change may be displayed. Moreover, it is good also as a form which derives | leads-out several prediction results by making the conditions which concern on derivation | leading-out of a control priority, and the conditions which concern on a simulation differ, and each is displayed in the form which can be compared.

  The prediction result displayed on the display unit 46 is configured to be selectable. When one prediction result is selected via the operation unit 45, the selected prediction result is notified to the demand control unit 58c. The For example, when the prediction results from FIGS. 27-1 to 27-3 are selected, the control priority set for each electrical device in FIG. 27-1 is notified to the demand control unit 58c.

  The demand control unit 58c has the same function as the demand control unit 58 described above. Further, the demand control unit 58c uses a control priority included in the prediction result selected through the operation unit 45 under the control of the simulation processing unit 61 as a function unique to the present embodiment. Demand control of each electrical equipment. For example, when the prediction results of FIGS. 27-1 to 27-3 are selected, the control priority set for each electrical device in FIG. 27-1 is actually set, and demand control is performed according to the control priority. Do.

  It is assumed that the function of the simulation processing unit 61 is validated when the display of the prediction result is instructed via the operation unit 45. The control priority derived from the dynamic priority may be applied when the prediction result of the simulation processing unit 61 is not selected.

  As described above, according to the management server 40c of the fourth embodiment, the transition of future state information is predicted a priori from the current area state (state information) by simulation, and the control priority used at the time of the simulation Can be reflected in the actual demand control, so that the convenience related to the control of the electric equipment can be improved.

  As mentioned above, although embodiment of this invention was described, the said embodiment was shown as an example and is not intending limiting the range of invention. The above embodiment can be implemented in various other forms, and various omissions, replacements, changes, additions, and the like can be made without departing from the scope of the invention. Moreover, the said embodiment and its deformation | transformation are included in the range of the invention, the summary, and the invention described in the claim, and its equal range.

  For example, in the above embodiment, the application candidate and the prediction result are displayed on the display unit 46, but the output form is not limited to this. For example, if the management server 40 (40a, 40b, 40c) has a printing device such as a printer built-in or externally attached, an application candidate or a prediction result is output (printed) on a paper medium using this printing device. It is good also as a form. Further, the application candidate and the prediction result may be output (transmitted) to the mail address of the administrator who manages the electric device control system 100 via the communication unit 47.

  Moreover, although the said embodiment demonstrated the example which made buildings, such as an office building, management object, it is good also as a management object not only in this but a some building, outdoor facilities, the whole area, etc. Moreover, in the said embodiment, although the illuminating device 11 and the air conditioner 21 were set as the electric equipment of control object, you may include not only this but another electric apparatus in control object. Moreover, in the said embodiment, although it was set as the form which performs demand control as control of an electric equipment, it is good also as a form applied not only to this but to other control.

DESCRIPTION OF SYMBOLS 100 Electrical equipment control system 10 Illuminating device group 11 Illuminating device 20 Air conditioning device group 21 Air conditioning device 30 Sensor device group 31 Sensor device 40, 40a, 40b, 40c Management server 41 CPU
42 ROM
43 RAM
44, 44a, 44b Storage unit 441 Area information table 442 Dynamic priority conversion table 442a Density conversion table 442b Person attribute conversion table 442c Action content conversion table 442d Environmental state conversion table 442e Power consumption conversion table 443 Static priority conversion table 443a Electrical device type conversion table 443b Date / time conversion table 443c Area type conversion table 443d Operating state conversion table 444 Control history storage table 45 Operation unit 46 Display unit 47 Communication unit 51 Sensor information acquisition unit 52 Person position acquisition unit 53 Human attribute acquisition unit 54 Behavior Content acquisition unit 55 Environmental state acquisition unit 56 Power consumption acquisition unit 57 Dynamic priority setting unit 571 Density conversion unit 572 Person attribute conversion unit 573 Action content conversion unit 574 Environmental state conversion unit 575 Consumption Force conversion unit 58, 58a, 58b, 58c Demand control unit 59 Static priority setting unit 591 Electric equipment type conversion unit 592 Date and time conversion unit 593 Area type conversion unit 594 Operating state conversion unit 60 Control priority prediction unit 61 Simulation processing unit N network

Claims (21)

In an electrical equipment control system that controls a plurality of electrical equipment provided in an area to be managed,
A sensor device provided in the area for detecting a state in the area;
From the detection result of the sensor device, state acquisition means for acquiring state information indicating a state around the installation position where each of the electrical devices is provided,
Based on the status information acquired by the status acquisition means, dynamic priority setting means for setting a dynamic priority for controlling the electrical equipment for each electrical equipment;
An electrical equipment control system. The state acquisition means detects a person existing around the installation position from the detection result, and acquires the number of persons existing in a predetermined range centered on the installation position for each electric device,
The electric device control system according to claim 1, wherein the dynamic priority setting unit sets a dynamic priority corresponding to the number of people in the electric device corresponding to the predetermined range in which the number of people is acquired. The state acquisition means detects a person existing around the installation position from the detection result, acquires attribute information about the detected person,
The electrical device according to claim 1, wherein the dynamic priority setting unit sets a dynamic priority according to the attribute information of the person to the electrical device around the installation position where the person is detected. Control system. The state acquisition means detects a person existing around the installation position from the detection result, acquires the action content that the person is executing,
The said dynamic priority setting means sets the dynamic priority according to the action content of the said person to the said electric equipment around the said installation position where the said person was detected. Electrical equipment control system as described in. The state acquisition means acquires an environmental state around the installation position from the detection result,
The dynamic priority setting means sets the dynamic priority according to the environmental state to the electrical equipment around the installation position where the environmental state is acquired. The electrical equipment control system described. The sensor device is an imaging device,
The electric device control system according to any one of claims 1 to 5, wherein the state acquisition unit acquires the state information from image data captured by the imaging device. A power consumption detection device for detecting power consumption of each of the electrical devices;
The state acquisition means acquires the power consumption of each of the electrical devices from the power consumption detection device,
The electrical device control according to claim 1, wherein the dynamic priority setting unit sets a dynamic priority according to the power consumption in the electrical device in which the power consumption is detected. system.   The control priority setting means for deriving one control priority from the dynamic priority set for the electric device and setting the control priority for the electric device, further comprising: The electrical equipment control system according to one item. Further comprising static priority setting means for setting a static priority according to a predetermined condition for each of the electrical devices,
The electricity according to claim 8, wherein the control priority setting means derives one control priority from the dynamic priority and the static priority set for each of the electric devices, and sets the control priority for the electric devices. Equipment control system.   The electrical device control system according to claim 9, wherein the static priority setting unit sets a static priority according to a device type of the electrical device to each of the electrical devices.   The electrical device control system according to claim 9 or 10, wherein the static priority setting unit sets a static priority according to a current date and time for each of the electrical devices.   The electric device according to any one of claims 9 to 11, wherein the static priority setting unit sets a static priority corresponding to a type of the area to each of the electric devices provided in the area. Control system.   The electricity according to any one of claims 9 to 12, wherein the static priority setting means sets a static priority corresponding to a tendency of a past operation state of each of the electric devices to a corresponding electric device. Equipment control system.   The control priority setting means derives a plurality of control priorities by using a plurality of control priority derivation rules for one electrical device, and sets any one control priority to the one electrical device. Item 14. The electrical equipment control system according to any one of Items 9 to 13. First presenting means for presentably selecting the plurality of control priorities derived by the control priority setting means;
First selection accepting means for accepting selection of one control priority from the plurality of control priorities presented to the first presenting means;
Further comprising
15. The electric equipment control system according to claim 14, wherein the control priority setting means sets the one control priority accepted by the first selection accepting means to the one electric equipment. Control for storing the change history of the state information acquired in the past predetermined period in the state acquisition means and the control priority set for each of the electric devices at each time point in the predetermined period in association with each other History storage means;
Search the control history storage unit for the change history of the state information corresponding to the change tendency of the state information acquired by the state acquisition unit, and correspond to the change history of the corresponding state information and the change history of the state information First control means for outputting the attached control priority as a prediction result;
The electrical equipment control system according to any one of claims 9 to 15, further comprising:   Based on the control priority set for each electrical device by the control priority setting means, the control result of the electrical device is simulated, and the control newly set for each electrical device based on the simulation result The electrical equipment control system according to any one of claims 9 to 15, further comprising second prediction means for outputting the priority as a prediction result.   The electrical equipment control system according to claim 16 or 17, further comprising second presentation means for presenting the prediction result. A second selection receiving means for receiving a selection of any one of the one or more prediction results presented to the second presenting means;
The electric equipment control system according to claim 18, wherein the control priority setting means sets the control priority included in the one prediction result received by the second selection receiving means to each of the electric equipment.   The electrical equipment control system according to any one of claims 9 to 19, further comprising control means for controlling the electrical equipment in accordance with the priority order of the control priority set for each of the electrical equipment. In the electrical equipment control device that controls a plurality of electrical equipment provided in the area to be managed,
From the detection result of the sensor device provided in the area, state acquisition means for acquiring state information indicating the state around the installation position where each of the electric devices is provided,
Based on the status information acquired by the status acquisition means, dynamic priority setting means for setting a dynamic priority for controlling the electrical equipment for each electrical equipment;
An electrical equipment control device comprising:

Images