JP2016031179A - Control system, optimum solution selection device, control method, and program - Google Patents

Abstract

PROBLEM TO BE SOLVED: To provide a control system enabling an energy consumption amount to be more surely optimized .SOLUTION: The control system including equipment for adjusting environment in a building and an equipment control device for controlling the equipment calculates an energy consumption amount on the basis of a plurality of operating conditions related to the equipment and a mathematical model for calculating the energy consumption amount of the equipment operated under the operating conditions, calculates on the basis of an evaluation function, an evaluation value of the calculated energy consumption amount, selects as the optimization solution, the operating condition making the energy consumption amount minimum on the basis of the calculated evaluation value and controls the equipment on the basis of the optimization solution determined that the equipment can be operated.SELECTED DRAWING: Figure 3

Description

  The present invention relates to a control system, an optimal solution selection device, a control method, and a program.

  Research and technology have been developed to optimize the power consumption of multiple facilities installed in buildings.

  In this connection, the evaluation item is predicted based on the operating condition of the air conditioner, the evaluation function is calculated from the predicted result of the evaluation item, and the operating condition of the air conditioner is determined based on the calculated evaluation function. There is known an air conditioning equipment control system that selects and controls air conditioning equipment based on the selected operating condition. (See Patent Document 1).

JP2013-142494A

  However, the conventional air conditioning equipment control system sometimes selects operating conditions that cannot be applied to the air conditioning equipment included in the air conditioning equipment control system. Therefore, in the conventional air conditioning equipment control system, there is a case where the power consumption cannot be optimized.

  The present invention has been made in view of the above-described problems of the prior art, and provides a control system, an optimal solution selection device, a control method, and a program that can optimize energy consumption more reliably.

  One aspect of the present invention is a control system including a facility for adjusting an environment in a building and a facility control device that controls the facility, and a plurality of operating conditions for the facility, The calculation unit for calculating the energy consumption based on the mathematical model for calculating the energy consumption of the equipment operated in the above and the evaluation value of the calculated energy consumption based on the evaluation function An optimum value selection unit that selects the operation condition that minimizes the energy consumption based on the calculated evaluation value as an optimum solution, and the optimum that has been determined to be operable And a facility control unit that controls the facility based on a solution.

  Another aspect of the present invention is the control system described above, wherein it is determined whether or not the operation condition related to the selected optimal solution can be operated by the facility, and as a result, the operation is performed. If it is determined that it is impossible, the optimal solution selection unit re-selects the other optimal solution from the plurality of operating conditions excluding the optimal solution that is determined to be impossible to operate. An execution feasibility determination unit that does nothing when it is determined that the operation can be performed, and the facility control unit controls the facility based on the optimum solution determined to be operable by the execution feasibility determination unit. Control system.

  Another aspect of the present invention is the above-described control system, wherein model generation is performed for acquiring information indicating a disturbance that changes the environment and generating the mathematical model based on the acquired information indicating the disturbance. And the mathematical model is configured to calculate the energy consumption based on the operating condition, and calculates the plurality of the energy consumption for each of the plurality of operating conditions. System.

  Another aspect of the present invention is the control system described above, wherein the information indicating the disturbance includes information indicating a history of changes in the energy consumption of the facility.

  Further, another aspect of the present invention is the control system described above, wherein the information indicating the disturbance includes information indicating a change in weather in a predetermined period, information indicating a change in temperature, information indicating a change in atmospheric pressure, It is a control system including a part or all of information representing a change in humidity.

  Another aspect of the present invention is the control system described above, wherein the mathematical model calculates a set of one or more energy consumptions related to the facility based on each of the plurality of operating conditions. The evaluation value calculation unit weights each of the energy consumptions included in the one or more energy consumption sets based on the evaluation function, and the weighted one or more It is a control system which calculates the sum total of the said energy consumption as said evaluation value.

  In addition, another aspect of the present invention is based on a plurality of operating conditions related to equipment that adjusts the environment in a building, and a mathematical model that calculates energy consumption of the equipment operated under the operating conditions. A calculation unit that calculates the energy consumption, an evaluation value calculation unit that calculates an evaluation value of the calculated energy consumption based on an evaluation function, and the energy consumption based on the calculated evaluation value An optimum solution selection device comprising: an optimum solution selection unit that selects the operation condition that minimizes the amount as an optimum solution.

  Moreover, the other aspect of this invention is the control method of the said equipment control apparatus in the control system which comprises the equipment which adjusts the environment in a building, and the equipment control apparatus which controls the said equipment, Comprising: Said equipment Based on a plurality of operating conditions and a mathematical model for calculating the energy consumption of the equipment operated under the operating conditions, the energy consumption is calculated, and the calculated based on the evaluation function An evaluation value of energy consumption is calculated, the operating condition that minimizes the energy consumption is selected as an optimal solution based on the calculated evaluation value, and the optimal solution that is determined to be operable can be selected. It is a control method of controlling the equipment based on.

  According to another aspect of the present invention, a computer of the equipment control device in a control system including equipment for adjusting an environment in a building and a equipment control device for controlling the equipment has a plurality of operations related to the equipment. The energy consumption is calculated based on the evaluation function based on the condition and a mathematical model for calculating the energy consumption of the facility operated under the operating condition. The evaluation value is calculated, and the operating condition that minimizes the energy consumption is selected as the optimal solution based on the calculated evaluation value, and based on the optimal solution that is determined to be operable, the It is a program that controls equipment.

  According to the present invention, it is possible to provide a control system, an optimal solution selection device, a control method, and a program that can optimize energy consumption more reliably.

It is a block diagram which shows the structure of the control system 1 which concerns on this embodiment. It is a figure which shows an example of the hardware constitutions of the equipment control apparatus. It is a figure which shows an example of a function structure of the equipment control apparatus. It is a flowchart which shows an example of the flow of the process in which the equipment control apparatus 4 derives | leads-out an optimal solution, and controls the equipment 2 based on the derived | led-out optimal solution. It is explanatory drawing explaining the process in which the output parameter calculation part 55 calculates an output parameter with a mathematical model. It is a figure which shows an example of the predetermined period divided | segmented into the several time slot | zone, and an example of the evaluation function which calculates an evaluation value. It is a figure which shows the outline | summary of an example of a process until the installation control apparatus 4 selects an optimal solution and transmits control information to the installation 2. FIG.

<Embodiment>
Hereinafter, embodiments of the present invention will be described with reference to the drawings. FIG. 1 is a configuration diagram illustrating a configuration of a control system 1 according to the present embodiment. The control system 1 according to this embodiment is installed in a building B. The building B is, for example, a building, a house, a facility used for an event venue, or the like. The control system 1 adjusts the environment in the building B. The environment in the building B is represented by physical quantities such as temperature (room temperature), humidity, and brightness (illuminance) in the building B, but may be other physical quantities instead. In the following, for convenience of explanation, the control system 1 is described as adjusting the temperature in the building B, but instead, the control system 1 may adjust humidity, brightness, and the like.

  The control system 1 includes facilities 2-1 to 2-N, a controller 3, and a facility control device 4. In the following, for convenience of explanation, unless there is a need to distinguish between the equipment 2-1 to the equipment 2-N, these will be collectively referred to as the equipment 2 for explanation. Hereinafter, the room in the building B where the equipment 2 is installed will be referred to as an installation room. The control system 1 controls the facility 2 so as to adjust the room temperature of the installation room in the building B to the target temperature. In addition, when the control system 1 controls the facility 2, the effect related to the adjustment of the energy consumption consumed by the facility 2 and the room temperature of the installation room by the facility 2 based on the prediction of the temperature change of the installation room caused by disturbance. The facility 2 is adjusted to the target temperature so that the cost-effectiveness is optimized.

  Here, in the following description, the energy consumption is described as the power consumption in the present embodiment for convenience of explanation. Further, the disturbance is a factor that changes the temperature of the installation room, and indicates another factor that is different from the facility 2. For example, the sunlight SI from the sun S as shown in FIG. Note that disturbances other than sunshine SI include factors inside the installation room, such as changes in the number of people in the installation room and the use of firearms in the installation room. Moreover, the prediction of the temperature change of the installation room caused by the disturbance is the prediction of the temperature change of the installation room based on the prediction of the future sunshine SI amount based on the history of the past sunshine SI amount, the future sunshine SI based on the weather forecast or the like. Shows the expected temperature change in the installation room based on the expected volume.

  In addition, the control system 1 determines the set temperature of the equipment 2 (that is, the temperature of the air blown from the equipment 2 based on the prediction of the temperature change of the installation room due to disturbance in each time zone within a predetermined period in the future. To adjust the room temperature to the target temperature. The future predetermined period is, for example, 24 hours from the next 0:00 to 24:00, but may be another period. Each time zone indicates, for example, each time zone obtained by dividing a predetermined period every hour, but may be a time zone divided every other time instead of one hour.

  The facility 2 receives control information from the controller 3 for each of the aforementioned time zones. When the facility 2 receives the control information from the controller 3, the facility 2 sets a set temperature based on the received control information, and adjusts the temperature of the installation room to the target temperature based on the set set temperature. Here, the control information includes, for example, a value indicating a temperature desired to be set as the set temperature in the facility 2 in each time zone, information indicating a temperature adjustment function of the facility 2, power on / off, and the like. Hereinafter, for convenience of explanation, a value indicating a temperature desired to be set as the set temperature in the facility 2 will be referred to as a control value. Each facility 2 is communicably connected to the controller 3 via a cable. Wired communication via a cable is performed, for example, according to the Ethernet (registered trademark) standard.

  The controller 3 is communicably connected to each of the N facilities 2 via a cable. Further, the controller 3 is connected to the equipment control device 4 through a cable so as to be communicable. The controller 3 receives information (hereinafter referred to as an optimal operation model) including all of the control information in each time zone in a predetermined period from the equipment control device 4. And the controller 3 controls the installation 2 by transmitting the control information in each time slot | zone to the installation 2 for every starting time of each time slot | zone in a predetermined period based on the received optimal driving | operation model.

  The equipment control device 4 derives a control value in each time zone for causing the equipment 2 to set the room temperature of the installation room to the target temperature based on the prediction of the room temperature change of the installation room caused by the disturbance in each time zone in a predetermined period. To do. The control value in each time zone derived by the equipment control device 4 is the power consumption in each time zone, and the power consumption necessary for the equipment 2 to set the room temperature of the installation room to the target temperature. This is the control value for each time zone that is the minimum. In the following, a set of control values that minimize the power consumption of the facility 2 with respect to the effect of adjusting the room temperature of the installation room by the facility 2, and a set of control values for each time period in a predetermined period, Will be described.

  When the facility control device 4 derives the optimum solution, the facility control device 4 generates control information for setting the set temperature of the facility 2 in each time zone based on the derived optimum solution. The equipment control device 4 generates an optimal operation model based on the generated control information in each time zone, and transmits the generated optimal operation model to the controller 3, so that the controller 3 adjusted to the optimal operation model is sent to the controller 3. The facility 2 is controlled. Thus, the control information is generated based on the prediction of the room temperature change of the installation room caused by the disturbance, and the equipment control device 4 controls the equipment 2 by the generated control information, so that the equipment control device 4 can control the room temperature of the installation room caused by the disturbance. An increase in power consumption related to air conditioning of the facility 2 caused when the change is ignored can be suppressed, and as a result, the power consumption can be optimized.

  Next, a hardware configuration of the equipment control device 4 will be described with reference to FIG. FIG. 2 is a diagram illustrating an example of a hardware configuration of the equipment control device 4. The equipment control device 4 includes, for example, a CPU (Central Processing Unit) 41, a storage unit 42, an input receiving unit 43, a communication unit 44, and a display unit 45, and communicates with the controller 3 via the communication unit 44. Do. These components are connected to each other via a bus Bus so that they can communicate with each other. The CPU 41 executes various programs stored in the storage unit 42.

  The storage unit 42 includes, for example, an HDD (Hard Disk Drive), an SSD (Solid State Drive), an EEPROM (Electrically Erasable Programmable Read-Only Memory), a ROM (Read-Only Memory), a RAM (Random Access Memory), and the like. Various information, images, and programs processed by the equipment control device 4 are stored. The storage unit 42 may be an external storage device connected by a digital input / output port such as a USB (Universal Serial Bus) instead of the one built in the equipment control device 4.

The input receiving unit 43 is, for example, a keyboard, mouse, touch pad, or other input device. In addition, the input reception part 43 may be comprised as a touch panel by functioning as a display part.
The communication unit 44 includes, for example, a digital input / output port such as USB, an Ethernet (registered trademark) port, and the like.
The display unit 45 is, for example, a liquid crystal display panel or an organic EL (ElectroLuminescence) display panel.

  Next, the functional configuration of the equipment control device 4 will be described with reference to FIG. FIG. 3 is a diagram illustrating an example of a functional configuration of the equipment control device 4. The equipment control device 4 includes a storage unit 42, an input reception unit 43, a communication unit 44, and a control unit 46. Part or all of the functional units included in the control unit 46 is realized by, for example, the CPU 41 executing various programs stored in the storage unit 42. Some or all of these functional units may be hardware functional units such as LSI (Large Scale Integration) and ASIC (Application Specific Integrated Circuit).

  The disturbance information acquisition unit 47 acquires disturbance information from various servers on the network NW via the communication unit 44. The disturbance information is information necessary for predicting the temperature change of the installation room caused by the disturbance. In the present embodiment, for example, information indicating the history of past sunshine SI amount, past forecast rooms such as weather forecasts, etc. Information indicating the history of temperature changes, information indicating the history of set temperatures set in the past equipment 2, and the like. Below, for convenience of explanation, the disturbance information will be described as information indicating a history of past sunshine SI amounts. The network NW is, for example, a network such as the Internet or a mobile communication network, but is not limited thereto.

  The model generation unit 49 generates a mathematical model based on the disturbance information acquired by the disturbance information acquisition unit 47. In this mathematical model, when a set of set temperatures of the equipment 2 in each time zone in a predetermined period and a set of target temperatures in the installation room in each time zone in a predetermined period are input as input parameters, the output parameter is caused by disturbance. A set of power consumption of the facility 2 in each time period in a predetermined period based on the expected temperature change of the installed room is calculated. Below, the set of the set temperature of the equipment 2 in each time zone in the predetermined period and the set of the target temperature in the installation room in each time zone in the predetermined period, which are input as input parameters to this mathematical model, are the operating conditions. Will be described.

The operating condition acquisition unit 51 reads a plurality of operating conditions stored in the storage unit 42 in advance. The plurality of operating conditions are registered in advance in the equipment control device 4.
The evaluation function acquisition unit 53 reads from the storage unit 42 information indicating an evaluation function for calculating an evaluation value of an output parameter calculated by a mathematical model for each operating condition. This evaluation function is a function for calculating an evaluation value indicating the power consumption during a predetermined period and indicating the power consumption required for the facility 2 to bring the room temperature of the installation room to the target temperature. The evaluation function is a function that outputs an evaluation value when an output parameter calculated by a mathematical model is input. The evaluation function is stored in the storage unit 42 in advance.

The output parameter calculation unit 55 calculates a plurality of output parameters based on the mathematical model generated by the model generation unit 49 and the plurality of operation conditions acquired by the operation condition acquisition unit 51. The output parameter calculation unit 55 is an example of a calculation unit.
The evaluation value calculation unit 57 calculates an evaluation value related to each of the plurality of output parameters based on the plurality of output parameters calculated by the output parameter calculation unit 55 and the evaluation function acquired by the evaluation function acquisition unit 53. To do.

Based on the evaluation value calculated by the evaluation value calculation unit 57, the optimal solution selection unit 59 sets the room temperature of the installation room by the facility 2 as the power consumption in a predetermined period from the plurality of output parameters. Select the output parameter that minimizes the power consumption required to achieve this. Then, the optimal solution selection unit 59 selects, as the optimal solution, the operating condition input to the mathematical model in order to calculate the selected output parameter.
The execution feasibility determination unit 61 determines whether the optimal solution selected by the optimal solution selection unit 59 is executable (can be operated) in the facility 2. When determining that the optimal solution selected by the optimal solution selection unit 59 is not executable (cannot be operated), the execution feasibility determination unit 61 re-optimizes the optimal solution to the optimal solution selection unit 59. Let them choose. In addition, when it is determined that all optimal solution candidates cannot be executed by repeating reselection of the optimal solution, the execution feasibility determination unit 61 causes the output parameter calculation unit 55 to recalculate the optimal solution candidates.

  The equipment control unit 63 generates control information for each time period in a predetermined period based on the optimal solution selected by the processing by the optimal solution selection unit 59 and the execution feasibility determination unit 61. More specifically, the equipment control unit 63 uses the set temperature in each time period in a predetermined period included in the optimal solution as a control value in each time period in the predetermined period, and is control information including this control value. Control information for each time period in a predetermined period is generated. And the equipment control part 63 produces | generates an optimal driving | operation model based on the control information in each time slot | zone in the produced | generated predetermined period. The equipment control unit 63 causes the controller 3 to control the equipment 2 by transmitting the generated optimum operation model to the controller 3 via the communication unit 44.

  Hereinafter, with reference to FIG. 4, processing in which the equipment control device 4 derives an optimal solution and causes the controller 3 to control the equipment 2 based on the derived optimal solution will be described. FIG. 4 is a flowchart illustrating an example of a process flow in which the equipment control device 4 derives an optimal solution and controls the equipment 2 based on the derived optimal solution. In FIG. 4, for convenience of explanation, a case will be described in which it is not determined that all optimal solution candidates are unexecutable by repeatedly re-selecting the optimal solution by the feasibility determination unit 61. First, the disturbance information acquisition unit 47 acquires disturbance information from various servers on the network NW via the communication unit 44 (step S100).

  Next, the model generation unit 49 generates a mathematical model based on the disturbance information acquired by the disturbance information acquisition unit 47 in step S100 (step S110). Next, the operating condition acquisition unit 51 reads a plurality of operating conditions stored in advance in the storage unit 42 (step S120). Next, the output parameter calculation unit 55 generates a plurality of output parameters based on the plurality of operation conditions acquired by the operation condition acquisition unit 51 in step S120 and the mathematical model generated by the model generation unit 49 in step S110. Is calculated (step S130).

  Here, with reference to FIG. 5, the process in which the output parameter calculation part 55 calculates an output parameter by a mathematical model is demonstrated. FIG. 5 is an explanatory diagram for explaining a process in which the output parameter calculation unit 55 calculates an output parameter using a mathematical model. As shown in FIG. 5, the output parameter calculation unit 55 sequentially selects operating conditions one by one from a plurality of operating conditions (operating conditions 1 to N), and uses the selected operating conditions as an input parameter as a mathematical model. To enter. The mathematical model outputs an output parameter for each input operating condition. Therefore, the output parameter calculation unit 55 calculates an output parameter corresponding to each of a plurality of operating conditions using a mathematical model.

  After the plurality of output parameters are calculated in step S130, the evaluation function acquisition unit 53 reads information indicating the evaluation function stored in advance by the storage unit 42 (step S140). Next, the evaluation value calculation unit 57 calculates an evaluation value for each output parameter based on the evaluation function acquired by the evaluation function acquisition unit 53 in Step S140 and the output parameter calculated in Step S130 (Step S140). S150).

  Here, an evaluation value calculation process for each output parameter will be described with reference to FIGS. FIG. 6A is a diagram illustrating an example of a predetermined period (for example, 24 hours) divided into a plurality of time zones (for example, every hour). FIG. 6B is a diagram illustrating an example of an evaluation function for calculating an evaluation value. As shown in FIG. 6 (A), the evaluation value calculation unit 57 multiplies the power consumption in each time zone included in a certain output parameter by the weight corresponding to each time zone, and multiplies each weight by the weight. The sum of power consumption in the time zone is calculated as an evaluation value.

  For example, this evaluation value is the power consumption amount in a predetermined period as described above, and indicates the power consumption amount necessary for the facility 2 to set the room temperature of the installation room to the target temperature. The weight associated with each time zone is a value such that when the evaluation value is large, the power consumption during the predetermined period is large, and when the evaluation value is small, the power consumption during the predetermined period is small.

  After the evaluation value corresponding to each of the plurality of output parameters is calculated by the evaluation value calculation unit 57 in step S150, the optimum solution selection unit 59 selects the smallest evaluation value from the output parameters based on the evaluation values. Select output parameters. Then, the optimal solution selection unit 59 selects the operating condition input to the mathematical model in order to calculate the selected output parameter as the optimal solution (step S160).

  Next, the feasibility determination unit 61 determines whether or not the control of the facility 2 using the optimal solution selected in Step S160 can be performed (Step S170). When it is determined that the control of the facility 2 by the optimal solution is not feasible (step S170-No), the optimal solution selection unit 59 returns to step S160, and the optimal solution selected in the previous step S160 is determined in step S130. The next optimal solution is re-selected from the plurality of optimal solution candidates calculated and excluded from the plurality of optimal solution candidates remaining without being excluded.

  On the other hand, when it determines with control of the installation 2 by an optimal solution being executable (step S170-Yes), the installation control part 63 is control information which concerns on each time slot | zone based on the optimal solution selected by step S160. And an optimal operation model is generated based on the generated control information relating to each time zone. Then, the equipment control unit 63 causes the controller 3 to control the equipment 2 by transmitting the optimum operation model to the controller 3 (step S180).

  Here, an outline of a series of processes in the flowchart shown in FIG. 6 will be described with reference to FIG. FIG. 7 is a diagram illustrating an outline of an example of processing until the equipment control device 4 selects an optimal solution and transmits control information to the equipment 2. As shown in FIG. 7, the facility control device 4 includes a plurality of operating conditions including a target temperature of the installation room in the mathematical model generated based on the prediction of the room temperature change of the installation room caused by the disturbance. As an input parameter.

  And the equipment control apparatus 4 selects an optimal solution based on the output parameter calculated according to each of several input operating conditions, and the equipment control part 63 is based on the selected optimal solution for a predetermined period. Control information in each time zone is generated. The equipment control device 4 generates an optimum operation model based on the generated control information in each time zone in the predetermined period. The equipment control unit 63 transmits the optimal operation model to the controller 3. When the controller 3 receives the optimum operation model, the controller 3 controls the facility 2 by transmitting control information in each time zone to the facility 2 for each start time of each time zone in a predetermined period based on the optimum operation model.

<Modification 1 of Embodiment>
Hereinafter, Modification 1 of the embodiment of the present invention will be described. The equipment control unit 63 according to the modified example of the present embodiment acquires past set temperature history information of the equipment 2 from the controller 3 as disturbance information. Then, the model generation unit 49 generates a mathematical model based on the disturbance information.

  More specifically, the model generation unit 49 according to the modification of the present embodiment predicts a change in room temperature caused by the disturbance of the installation room in each time zone in a predetermined period by, for example, a Kalman filter based on the disturbance information. calculate. Then, the model generation unit 49 generates the mathematical model described above based on the calculated prediction.

  Note that the model generation unit 49 uses, for example, a GMDH (Group Method of Data Handling) or SOINN instead of a configuration for calculating the prediction of the temperature change caused by the disturbance of the installation room in each time zone in a predetermined period by the Kalman filter. (Self-Organizing Incremental Neural Network) or the like may be used to calculate the prediction of the room temperature change caused by the disturbance of the installation room in each time zone in a predetermined period.

  As described above, the control system 1 uses the power consumption (output parameter) based on the plurality of operating conditions related to the equipment 2 and the mathematical model for calculating the power consumption of the equipment 2 operated under the operating conditions. ) Is calculated, the evaluation value of the calculated power consumption is calculated based on the evaluation function, and the operating condition that minimizes the power consumption is selected as the optimal solution based on the calculated evaluation value, and is operated. The facility 2 is controlled based on the optimum solution determined to be possible. Thereby, the control system 1 can optimize cost effectiveness more reliably.

  Further, the control system 1 determines whether or not the selected optimal solution can be operated by the equipment 2, and as a result, determines that it cannot be operated when it is determined that it cannot be operated. If it is determined that another optimal solution is reselected from a plurality of operating conditions excluding the determined optimal solution and can be operated, nothing is done. As a result, the control system 1 efficiently controls the facility 2 without having to recalculate the output parameter using a mathematical model every time it is determined that the selected optimal solution cannot be operated by the facility 2. be able to.

  Moreover, the control system 1 acquires disturbance information, and generates a mathematical model based on the acquired disturbance information. Thereby, the control system 1 can select the optimal solution based on the prediction of the temperature change of the installation room caused by the disturbance by the mathematical model, and can control the facility 2 based on the selected optimal solution.

  In addition, the control system 1 weights each power consumption included in the set of one or more power consumptions based on the evaluation function, and evaluates the sum of the one or more power consumptions that have been weighted. Calculate as a value. Thereby, the control system 1 can select the optimal solution which minimizes the power consumption of the installation 2 in a predetermined period based on the evaluation value.

  The embodiment of the present invention has been described in detail with reference to the drawings. However, the specific configuration is not limited to this embodiment, and changes, substitutions, deletions, and the like are possible without departing from the gist of the present invention. May be.

Note that the energy consumption may be a physical quantity indicating another energy consumption instead of the power consumption.
Further, the equipment 2 may be, for example, a humidifying equipment or a dehumidifying equipment for adjusting the humidity of the installation room, a lighting equipment for adjusting the illuminance of the installation room, or the like, instead of the air conditioning equipment for adjusting the temperature of the installation room. Examples of the installation room are an office in a building B, a server room, and the like.

Further, the wired communication via the cable according to the above-described embodiment may be performed according to a standard such as USB instead of the Ethernet (registered trademark) standard.
Further, a part or all of the equipment 2 and the controller 3 may be connected by wireless communication performed according to a communication standard such as Wi-Fi (registered trademark).

In addition, the control system 1 of the present embodiment is configured to include a single controller 3, but instead of this, the controller 3 may be omitted, and includes a plurality of controllers 3. It may be configured to.
In addition, the model generation unit 49 acquires the target temperature of the installation room and the disturbance information in each time zone in a predetermined period instead of the configuration that generates the mathematical model based on the disturbance information acquired by the disturbance information acquisition unit 47. The mathematical model may be generated based on the disturbance information acquired by the unit 47. In this case, the operation condition does not include the target temperature in each time slot in the predetermined period, but includes only the set temperature of the equipment 2 in each time slot in the predetermined period.

In addition, the plurality of operating conditions may be configured to be input by the user before the facility control device 4 controls the facility 2 instead of the configuration registered in advance in the facility control device 4. The equipment control device 4 may automatically generate a plurality of operating conditions based on a history of set temperatures set for the equipment 2, etc. The structure etc. which generate | occur | produce automatically all the operation conditions which concern on the combination of also possible temperature may be sufficient.
Further, the output parameter calculation unit 55 calculates the power consumption in each time zone according to each set temperature in each time zone in a predetermined period included in the operation condition based on the operation condition and the mathematical model. Instead of the configuration, the power consumption during a predetermined period (that is, the sum of the power consumption during each time period during the predetermined period) may be calculated.

Further, the evaluation function may be another function form based on the power consumption in each time zone instead of the function form shown in FIG.
Further, the weight of the evaluation function may be a value such that when the evaluation value is large, the power consumption during the predetermined period is small, and when the evaluation value is small, the power consumption during the predetermined period is large.
Further, the evaluation value calculation unit 57 may have a configuration in which the sum of power consumption in each time zone not multiplied by the weight is used as the evaluation value.

  Further, a program for realizing the function of an arbitrary component in the apparatus described above (for example, the equipment control apparatus 4 of the control system 1) is recorded on a computer-readable recording medium, and the program is stored in the computer system. You may make it read and execute. Here, the “computer system” includes hardware such as an OS (Operating System) and peripheral devices. “Computer-readable recording medium” means a portable disk such as a flexible disk, a magneto-optical disk, a ROM (Read Only Memory), a CD (Compact Disk) -ROM, or a hard disk built in a computer system. Refers to the device. Further, the “computer-readable recording medium” means a volatile memory (RAM: Random Access) inside a computer system that becomes a server or a client when a program is transmitted via a network such as the Internet or a communication line such as a telephone line. Memory that holds a program for a certain period of time, such as Memory).

In addition, the above program may be transmitted from a computer system storing the program in a storage device or the like to another computer system via a transmission medium or by a transmission wave in the transmission medium. Here, the “transmission medium” for transmitting the program refers to a medium having a function of transmitting information, such as a network (communication network) such as the Internet or a communication line (communication line) such as a telephone line.
Further, the above program may be for realizing a part of the functions described above. Further, the program may be a so-called difference file (difference program) that can realize the above-described functions in combination with a program already recorded in the computer system.

1 control system, 2 equipment, 3 controller, 4 equipment control device, 41 CPU, 42 storage section, 43 input reception section, 44 communication section, 45 display section, 46 control section, 47 disturbance information acquisition section, 49 model generation section, 51 operating condition acquisition unit, 53 evaluation function acquisition unit, 55 output parameter calculation unit, 57 evaluation value calculation unit, 59 optimum solution selection unit, 61 execution feasibility determination unit, 63 facility control unit

Claims (9)

A control system comprising a facility for adjusting the environment in a building and a facility control device for controlling the facility,
Based on a plurality of operating conditions related to the equipment, and a mathematical model for calculating the energy consumption of the equipment operated under the operating conditions, a calculation unit that calculates the energy consumption;
An evaluation value calculation unit that calculates an evaluation value of the calculated energy consumption based on an evaluation function;
An optimal solution selection unit that selects, as an optimal solution, the operating condition that minimizes the energy consumption based on the calculated evaluation value;
An equipment control unit for controlling the equipment based on the optimal solution determined to be operable;
A control system comprising: The control system according to claim 1,
It is determined whether or not the operation condition related to the selected optimal solution can be operated by the equipment, and as a result, it is determined that the operation cannot be performed when it is determined that the operation is impossible. An execution feasibility determination unit that does nothing when it is determined that the optimum solution selection unit reselects the other optimum solution from the plurality of operation conditions excluding the optimum solution and can be operated. ,
The facility control unit controls the facility based on the optimal solution determined to be operable by the execution determination unit.
Control system. The control system according to claim 1 or 2,
A model generation unit that acquires information indicating a disturbance that changes the environment and generates the mathematical model based on the acquired information indicating the disturbance,
The mathematical model is configured to calculate the energy consumption based on the operating conditions, and calculates the plurality of energy consumptions for each of the plurality of operating conditions.
Control system. The control system according to claim 3,
The information indicating the disturbance includes information representing a history of changes in the energy consumption of the facility.
Control system. The control system according to claim 3 or 4,
The information indicating the disturbance includes a part or all of information representing a change in weather in a predetermined period, information representing a change in temperature, information representing a change in atmospheric pressure, and information representing a change in humidity.
Control system. A control system according to any one of claims 1 to 5,
The mathematical model calculates a set of one or more energy consumptions related to the facility based on each of the plurality of operating conditions,
The evaluation value calculation unit weights each of the energy consumptions included in the one or more energy consumption sets based on the evaluation function, and the one or more of the weighted ones or more Calculating the sum of energy consumption as the evaluation value,
Control system. Calculation for calculating the energy consumption based on a plurality of operating conditions relating to the facility for adjusting the environment in the building and a mathematical model for calculating the energy consumption of the facility operated under the operating condition And
An evaluation value calculation unit that calculates an evaluation value of the calculated energy consumption based on an evaluation function;
An optimal solution selection unit that selects, as an optimal solution, the operating condition that minimizes the energy consumption based on the calculated evaluation value;
An optimal solution selection device comprising: A control method for the facility control device in a control system comprising a facility for adjusting the environment in a building and a facility control device for controlling the facility,
Based on a plurality of operating conditions related to the equipment, and a mathematical model for calculating the energy consumption of the equipment operated under the operating conditions, the energy consumption is calculated,
Based on the evaluation function, calculate the evaluation value of the calculated energy consumption,
Select the operating condition that minimizes the energy consumption based on the calculated evaluation value as an optimal solution,
Controlling the equipment based on the optimal solution determined to be operable;
Control method. In a computer of the equipment control device in a control system comprising equipment for adjusting the environment in the building and equipment control device for controlling the equipment,
Based on a plurality of operating conditions related to the facility, and a mathematical model for calculating energy consumption of the facility operated under the operating condition, the energy consumption is calculated,
Based on the evaluation function, the calculated evaluation value of the energy consumption is calculated,
The operating condition that minimizes the energy consumption based on the calculated evaluation value is selected as an optimal solution,
Controlling the equipment based on the optimal solution determined to be operable,
program.

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