JP2023554203A - Energy consumption calculation system - Google Patents

Abstract

An object of the present invention is to provide an energy consumption calculation system that calculates an approximate value of energy consumption of an air conditioner/heater having an automatic control function according to hourly changing environmental conditions. [Solution] An energy consumption calculation system for an air conditioner/heater 3 equipped with an automatic control function, which includes a data acquisition unit 110 that acquires environmental information inside and outside a building in which the air conditioner 3 is installed, and a plurality of cells in a matrix. an energy consumption integration unit 130 that calculates an approximate value of the energy consumption of the air conditioner 3 using the energy consumption table 210 formed in a shape, the environmental information acquired by the data acquisition unit 110, and the energy consumption table 210; The energy consumption integration unit 130 uses the obtained environmental information for each predetermined time to integrate the values of the cells in the energy consumption table corresponding to the environmental information for each predetermined time, thereby increasing the energy consumption of the air conditioner 3. Calculate the approximate value of energy consumption according to changes in the environment where the equipment is installed. [Selection diagram] Figure 1

Description

The present invention relates to an energy consumption calculation system, and for example, to an energy consumption calculation system that calculates an approximate value of energy consumption of a heating and cooling system (HVAC) equipped with an automatic control function.

Air conditioners and heaters used in homes, corporate offices, schools, hospitals, entertainment facilities, stores, etc. generally respond to the indoor temperature measured by a temperature sensor installed in the area (indoors) that is being cooled or heated. The output is controlled to minimize power consumption.

In addition, as a technology related to energy saving of air conditioners, Patent Document 1 describes information on current values or power consumption from air conditioners in a management system for air conditioners connected to a communication company from an external network via a center server. The center server calculates the electricity cost for operating the air conditioner, and based on the calculated electricity cost information, calculates the electricity cost for the air conditioner based on the target electricity cost set from the communication terminal device. , if the accumulated electricity bill due to air conditioner operation exceeds multiple predetermined percentages or predetermined values of the target electricity bill before reaching the target electricity bill, multiple alerts (notification information) will be displayed on the display device of the communication terminal. A management system for an air conditioner is disclosed.

Patent No. 4274095

Incidentally, decarbonization and energy reduction are currently being emphasized worldwide from the perspective of protecting the global environment. Of the world's energy consumption, a large proportion of the energy consumed by companies and offices (offices, factories, hospitals, commercial facilities, restaurants, etc.) is consumed by air conditioners, with a particularly large proportion of the energy consumed by heating and cooling systems (air conditioners).
In addition, against the above background, various manufacturers are selling systems that automatically control the output of air conditioners and heaters to suppress energy consumption. It is a system that takes into consideration whether to adjust the indoor temperature, and the energy consumption is adjusted according to the structure of the building and the environmental conditions that change from time to time (indoor conditions (increase or decrease in the number of people enrolled), external environmental conditions such as outside air temperature). It is not a system that automatically adjusts the set temperature variably to suppress the temperature. Furthermore, it is not a method for estimating energy consumption according to environmental conditions, which is an index for such control.

In addition, corporate offices are shared by multiple people, and the appropriate temperature controlled by the air conditioner/heater may vary depending on the person. Even when energy consumption is higher than necessary, it is left unmanaged. There are many things. Even if there were a situation in which a large reduction in energy could be expected by changing the temperature by 1 degree in a certain environment, there is no index for reducing energy consumption that would allow a system administrator to predict and operate the system.
Therefore, it would be desirable if the administrator of the system that controls the air conditioner had a system that could grasp the appropriate temperature of the air conditioner and estimate the energy consumption according to the hourly changing environmental conditions, but currently such a system is not available. does not exist.
Note that the system described in Patent Document 1 above simply calculates the electricity bill using information on the current value or power consumption from the air conditioner and notifies you of an alert so that the electricity bill does not exceed the target electricity bill. However, it does not estimate the energy consumption of air conditioners depending on the environmental conditions that change from hour to hour.

In order to solve the above-mentioned problems, an object of the present invention is to provide an energy consumption calculation system that calculates an approximate value of energy consumption for a set temperature in accordance with the hourly changing environmental conditions of an air conditioner/heater having an automatic control function. It is about providing.

The present invention, which has been made to solve the above problems, is an energy consumption calculation system including an information processing device that calculates an approximate value of energy consumption of a heating and cooling machine equipped with an automatic control function, the information processing device comprising: a data acquisition unit that acquires environmental information inside and outside the building in which the air conditioner is installed; an energy consumption table in which a plurality of cells are formed in a matrix; and a consumption unit that calculates values of cells in the energy consumption table. It has an energy calculation unit and an energy consumption integration unit that integrates the values of the cells of the energy consumption table to calculate an approximate value of the energy consumption of the air conditioner for a predetermined period, and the data acquisition unit As the environmental information, at least the indoor temperature inside the building where the air conditioner is installed, the outside air temperature outside the building where the air conditioner is installed, and the set temperature of the air conditioner are acquired. Each cell of the energy consumption table is assigned according to the value of the environmental information and stores a value that is the basis for calculating the energy consumption, and the energy consumption integration unit calculates the value for each acquired predetermined time. By integrating the values of the cells of the energy consumption table corresponding to the environmental information at predetermined time intervals using the environmental information, the energy consumption can be estimated in accordance with changes in the environment in which the air conditioner is installed. It is characterized by being designed to calculate a value.

According to the above configuration, environmental information (outside air temperature, indoor temperature, set temperature) of the inside and outside of the building in which the air conditioner is installed, which leads to an increase in the energy consumption of the air conditioner, can be obtained at predetermined intervals. Further, in the present invention, an energy consumption table is provided in which a plurality of cells are formed in a matrix, and each cell of this energy consumption table is assigned according to the value of environmental information and is used as a basis for calculating energy consumption. A value is stored.
For example, if the air conditioner is set to cooling and is working to lower the indoor temperature from 30℃ to 25℃, the outside temperature will warm the building, so it will act as repulsive energy to lower the temperature. act. In other words, the environmental information becomes an index of repulsive energy for the air conditioner, and since it is balanced as a reaction relationship with the energy consumption of the air conditioner, the energy consumption calculation stored in the cell whose conditions match the acquired current environmental information. By referring to the base value, it becomes possible to calculate the energy consumption necessary for the air conditioner to adjust the temperature. As a result, according to the present invention, the power consumption for each set temperature in an individual space can be estimated in advance, and if the present invention can be used to control the set temperature of the air conditioner according to the environment, oxygen removal , can greatly contribute to energy reduction.
Note that a temperature sensor may be installed near the building where the air conditioner is installed, and the data acquisition section may obtain the outside air temperature from the temperature sensor, or the data acquisition section may obtain the outside temperature from the building via the Internet. may be configured to obtain the outside air temperature of the area. Further, the data acquisition unit may acquire the indoor temperature and set temperature from an air conditioner or heater, or may acquire the indoor temperature from a temperature sensor installed in the room where the air conditioner is installed. .

Further, the energy consumption table has a column specified by the value of the difference between the outside temperature and the set temperature, and a row specified by the value of the difference between the indoor temperature and the set temperature, and the column and the row intersect. It is desirable that the cell stores power consumption, which is a value used for calculating the energy consumption.
Note that the power consumption is a numerical value indicating repulsive energy with respect to the output of the air conditioner.

Further, in each cell of the energy consumption table, if the power consumption of the air conditioner and the heater can be measured every predetermined time using a wattmeter, the power consumption of the air conditioner and the heater measured by the wattmeter are stored, If the power consumption cannot be measured every predetermined time by the wattmeter, the power consumption calculated using the predetermined equation in which the value determined by the air conditioner and the acquired environmental information is stored. is desirable.
In this way, in the present invention, each cell of the energy consumption table stores the power consumption that reflects the environmental status of the building where the air conditioner is installed, so the acquired current environmental information and conditions are By referring to the power consumption stored in matching cells, it is possible to calculate an approximate value of energy consumption according to environmental changes of the air conditioner, and it is also possible to reduce energy consumption by changing temperature settings in the same environment. , it becomes possible to calculate the amount of power consumption.

In addition, the energy consumption calculation unit calculates the predetermined equation, in which a value determined by the air conditioner is set, and the acquired environment, as pre-processing for the process in which the energy consumption integration unit calculates the approximate value of the energy consumption. It is desirable to calculate the power consumption of the air conditioner using the above information, and store the calculated power consumption in a cell of the energy consumption table allocated according to the environmental information used for the calculation.

Further, the data acquisition unit is capable of acquiring environmental factors including the indoor congestion situation, weather conditions, and humidity as the environmental information, and the environmental factors are set as offset values in the predetermined equation. It is desirable that the energy consumption calculation unit calculates the power consumption using the predetermined equation in which the environmental factor is set as an offset value.
According to this configuration, for example, in the case of air conditioning setting, it is possible to create an energy consumption table that stores power consumption that reflects environmental factors that increase indoor temperature. Therefore, even in cases where the installation environment of the air conditioner/heater has special circumstances such as a rapid increase or decrease in the number of people in the room, it is possible to calculate an approximate value of energy consumption that reflects environmental factors.

Further, the energy consumption calculation unit calculates the energy consumption by using a temperature maintenance energy calculation equation having a first graph shape as the equation for the cell to be referred to when the difference between the indoor temperature and the set temperature is 0. For the cell to be referenced when the power is calculated and the difference between the outside air temperature and the set temperature is other than 0, the power consumption is calculated using a temperature change energy calculation equation having a second graph shape as the equation. It is desirable to be able to calculate it.

In addition, the temperature maintenance energy calculation equation having the first graph shape is based on the Gompertz equation using two variables that differ depending on the environment and the maximum power consumption value for maintaining the set temperature. The temperature change energy calculation equation, which is an equation including a value and an offset, and has the second graph shape, is different from the solution of the temperature maintenance energy calculation equation, the maximum power consumption value of the air conditioner and the two variables. Preferably, the equation is composed of two other variables.

The variable relationship calculation unit also includes a variable relationship calculation unit that specifies variables of the temperature maintenance energy calculation equation and the temperature change energy calculation equation, and the variable relationship calculation unit is configured to calculate the actual power consumption of the air conditioner and the heating and cooling equipment obtained by the wattmeter. Using the environmental information acquired by the data acquisition unit as training data, narrowing down the relationship between variables of the temperature maintenance energy calculation equation and the temperature change energy calculation equation, which link the environmental information and power consumption, by machine learning, It is preferable that each variable of the temperature maintenance energy calculation equation and the temperature change energy calculation equation be specified.

According to the present invention, it is possible to provide an energy consumption calculation system that calculates an approximate value of energy consumption for a set temperature of an air conditioner/heater having an automatic control function in accordance with the hourly changing environmental conditions.

1 is a schematic diagram showing the configuration of an energy consumption calculation system for an air conditioner/heater according to an embodiment of the present invention. FIG. 2 is a schematic diagram showing an example of the data structure of a data table provided in the energy consumption calculation system according to the embodiment of the present invention. FIG. 2 is a schematic diagram showing an example of the data structure of an energy consumption table provided in the energy consumption calculation system according to the embodiment of the present invention. It is a schematic diagram for explaining the calculation process of the power consumption stored in the cell of the energy consumption table performed by the energy consumption calculation system of the embodiment of the present invention, in which (a) It is a table showing a data table storing measured environmental information, (b) is a schematic diagram showing an equation for calculating consumed energy (power consumption), and (c) is a diagram showing the parameters of the equation shown in (b). FIG. 2 is a schematic diagram for explaining calculation processing. FIG. 5 is a schematic diagram for explaining the relationship between the power consumption shown in the environmental information shown in FIG. 4 and the cells of the energy consumption table. FIG. 2 is a schematic diagram showing a graph of an equation for calculating the energy consumption when the air conditioner used by the energy consumption calculation system according to the embodiment of the present invention operates to maintain the indoor temperature at a set temperature. FIG. 2 is a schematic diagram showing a graph of an equation for calculating the energy consumption when the air conditioner used by the energy consumption calculation system according to the embodiment of the present invention operates to change the indoor temperature to the set temperature. FIG. 2 is a schematic diagram showing the number of times a cell of the energy consumption calculation system is referenced that corresponds to an environmental value measured at regular intervals by the energy consumption calculation system according to the embodiment of the present invention.

Embodiments of the present invention will be described below with reference to the drawings.

First, the configuration of the energy consumption calculation system of this embodiment will be explained using FIGS. 1 to 3.
Here, FIG. 1 is a schematic diagram showing the configuration of the energy consumption calculation system of this embodiment. FIG. 2 is a schematic diagram showing an example of the data structure of a data table provided in the energy consumption calculation system of this embodiment. FIG. 3 is a schematic diagram showing an example of the data structure of the energy consumption table provided in the energy consumption calculation system of this embodiment.

As shown in FIG. 1, the energy consumption calculation system of this embodiment acquires environmental information of a building (an office building in the illustrated example) in which air conditioners 3 (3a, 3b) equipped with an automatic control function are installed. Environmental information acquisition unit (outside air temperature sensor 1, indoor temperature sensor 2 (2a, 2b), congestion detection sensor 4 (4a, 4b), wattmeter (power meter) 5 (5a, 5b)); information processing that calculates the approximate value of the hourly energy consumption of the air conditioner 3 using the acquired data (set temperature, environmental information) It has a device 100.

Note that in this embodiment, an example is shown in which a rough estimate of the energy consumption of the air conditioner 3 installed in each office of an office building is calculated, but this is just an example. The energy consumption calculation system of this embodiment is also applied when the air conditioner/heater 3 having an automatic control function is installed in a room of a residence such as a detached house or an apartment complex. Further, the present embodiment can also be used to calculate an approximate value of energy consumption for each hour according to the environmental condition of the air conditioner/heater 3 having an automatic control function in facilities such as hospitals, schools, and restaurants. However, if the set temperature cannot be acquired by this system for air conditioners and heaters for personal use such as detached houses, it may not be possible to use the system.

The above-mentioned energy consumption calculation system calculates an approximate value of the energy consumption of the air conditioner 3 (3a, 3a, 3b) Measuring instruments such as sensors forming the environmental information acquisition section are installed in each area of the building where the environmental information acquisition section is installed.

Specifically, as shown in FIG. A congestion detection sensor 4a (4) that measures the crowding situation of people in "Office A" and a power meter 5a (5) that measures the power consumption of the air conditioner 3a installed in "Office A" are provided. .

In addition, "Office n" where the air conditioner 3b (3) is installed is equipped with an indoor temperature sensor 2b (2) that measures the indoor temperature of "Office n" and measures the crowding situation of the people in "Office n". A congestion detection sensor 4b (4) is provided to measure the power consumption of the air conditioner 3b installed in "office n", and a power meter 5b to measure the power consumption of the air conditioner 3b installed in "office n".
Furthermore, an outside air temperature sensor 1 for measuring outside air temperature is installed outdoors in and near the buildings where offices A and N are located.

In addition, each measuring device (outside air temperature sensor 1, indoor temperature sensor 2 (2a, 2b), congestion detection sensor 4 (4a, 4b), power meter 5 (5a, 5b)) constituting the environmental information acquisition section The measuring devices are also capable of communicating with the information processing device 100 by wire or wirelessly, and each measuring device transmits environmental information obtained by measurement to the information processing device 100 at predetermined intervals.

For example, the outside air temperature sensor 1 measures the outdoor outside air temperature in/near the building where offices A and N are located at predetermined intervals, and transmits the measured outside air temperature to the information processing device 100. Furthermore, the indoor temperature sensor 2a measures the indoor temperature of the office A at predetermined intervals, and transmits the measured outside air temperature to the information processing device 100. The congestion detection sensor 4a measures the congestion situation in the office A at predetermined time intervals and transmits the measured congestion situation to the information processing device 100. Further, the wattmeter 5a measures the power consumption of the air conditioner 3a installed in the office A, and transmits the measured power consumption to the information processing device 100. However, the wattmeter 5a may only be able to measure the power consumption of the entire room including the air conditioner.

Further, the air conditioners 3a and 3b are configured to be able to communicate with the information processing apparatus 100 by wire or wirelessly through a separately attached data acquisition device or through an IP interface of the air conditioner 3. The information processing device 100 then acquires the "set temperature" set in the air conditioner 3 at predetermined intervals.
In addition, if the air conditioners 3a and 3b have a built-in temperature sensor that measures the indoor temperature, the indoor temperature sensor 2 is not installed in each office, and the temperature sensor 2 is installed in the air conditioners 3a and 3b at predetermined intervals. Alternatively, the indoor temperature measured by a temperature sensor may be acquired.

In FIG. 1, the environmental information acquisition unit includes an outside temperature sensor 1 (1a, 1b), an indoor temperature sensor 2 (2a, 2b), a congestion detection sensor 4 (4a, 4b), and a power meter 5 (5a, 5b). is shown, but this is just an example. For example, in order to obtain the outside air temperature, instead of the outside air temperature sensor 1 (1a, 1b), a server that provides the air temperature (outside air temperature) of each region on the Internet may be used. In this case, the information processing device 100 accesses the above-mentioned server at predetermined time intervals and obtains the outside air temperature of the corresponding region.

In addition, the information processing device 100 obtains not only the temperature but also weather information (information on sunny, rainy, cloudy, etc.) that affects the energy consumption of the air conditioner 3 and humidity from the above-mentioned server, and obtains an approximate value of the energy consumption. "Weather information, humidity" may be used for calculation.
In addition, many office buildings have a building management system (BMS) installed, so the building management system can be used to provide environmental information, temperature settings for each air-conditioner, etc. It is also possible to acquire "power consumption".

Next, the configuration of the information processing device 100 will be specifically explained.
The information processing device 100 includes a data acquisition unit 110 that acquires the set temperature of the air conditioner 3 and environmental information (environmental values), an energy consumption calculation unit 120 that calculates the value (power consumption) of the cell of the energy consumption table 200, An energy consumption integration unit 130 that integrates energy consumption over a fixed period and calculates power consumption for each period, and calculates parameters (variables) of an equation (described later) for calculating power consumption to be stored in the energy consumption table 210. It has a variable relationship calculation section 140, a display section 150 for displaying power consumption status, etc., and a storage section 160. The storage unit 160 stores a data table 200 that stores environmental information for each predetermined time period, an energy consumption table 210, and a calculation data table 220.

In addition, in the energy consumption table 210 described above, a plurality of cells are formed in a matrix, each cell is allocated according to the value of environmental information, and the value (power consumption) on which the energy consumption is calculated is the electric power. 5 in total or stored by the energy consumption calculation unit.
Then, the energy consumption integration unit 130 uses the environmental information obtained by the data acquisition unit 110 for each predetermined time period to integrate the values of cells in the energy consumption table 210 corresponding to the environmental information at predetermined time intervals. Then, an approximate value of energy consumption is calculated in accordance with changes in the environment in which the air conditioner/heater 3 is installed.

Further, the hardware configuration of the information processing device 100 is not particularly limited, but for example, the information processing device 100 may be a computer equipped with a CPU, memory (main storage device, auxiliary storage device), an I/O interface, a communication interface, etc. (consisting of one or more computers). In this case, the auxiliary storage device contains a program (for convenience of explanation, a first program) for realizing the functions of "data acquisition section 110, energy consumption calculation section 120, and energy consumption integration section 130" and "variable relation "Artificial intelligence program for realizing the functions of the calculation unit 140" is stored.

The functions of the data acquisition section 110, the energy consumption calculation section 120, and the energy consumption integration section 130 are realized by the CPU reading out the first program into the main storage and executing it. Further, the functions of the variable relationship calculation section 140 are realized by the CPU reading out the artificial intelligence program into the main storage and executing it.
Similarly, in the display unit 150, the CPU reads and executes a display program based on the data in the storage unit and the result of the first program, allowing the user to refer to information through a web browser or the like.
Further, a data table 200, an energy consumption table 210, and a calculation data table 220 are stored in a predetermined area of the memory.
The configurations of each component and database (data table 200, energy consumption table 210, and calculation data table 220) of the information processing device 100 will be described below.

The data acquisition unit 110 receives data transmitted from measuring instruments (outside air temperature sensor 1, indoor temperature sensor 2, congestion detection sensor 4, power meter 5) corresponding to each air conditioner 3 at predetermined time intervals (for example, every 5 minutes). Receive (obtain) environmental information (outside temperature, indoor temperature, congestion situation, power consumption). Furthermore, the data acquisition unit 110 receives (acquires) the set temperature of each air conditioner 3 at predetermined time intervals (for example, every 5 minutes).

In addition, the data acquisition unit 110 adds "environmental information (outside temperature, indoor temperature, Congestion status, set temperature), and power consumption are stored in association with each other.
Regarding the data registered in the data table 200, calculation of the power consumption stored in each cell of the energy consumption table 210 and variable relationship calculation are performed in the process of calculating the approximate value of energy consumption (power consumption). It is used to calculate parameters (variables) of an equation (described later) performed by the unit 140.

Here, the data structure of the data table 200 will be explained with reference to FIG. 2.
In the data table 200, a table-format database is provided for each air conditioner 3, and in the database for each air conditioner 3, "environmental information ( It is now possible to associate and store information such as "outside temperature, indoor temperature, crowding situation, set temperature), and power consumption." The illustrated example shows a database for "air conditioner 3a", and during the time period "10:00 to 10:05 (y1)", "outside air temperature (32.5 degrees Celsius), indoor temperature ( 28℃), set temperature (24℃), congestion status (60%), other (XX), and power consumption (1200W)'' are registered.
Note that the field for registering others (XX) is used when setting information on the fan speed of the air conditioner/heater 3 is obtained or when there is a special factor that affects power consumption in the installation area of the air conditioner/heater 3.
Regarding power consumption, if the power consumption of each air conditioner 3 can be obtained using building equipment such as a BMS, or if each air conditioner operates independently, each The power consumption is stored in the database of air conditioners, but in the case where the power consumption for a plurality of air conditioners is acquired at once, the measured power consumption is stored in the calculation data table 220.

Note that the data acquisition unit 110 uses the "environmental The acquired "environmental information (outside temperature, indoor temperature, crowding situation, set temperature), power consumption" is displayed during the time period that includes the time when the information (outside temperature, indoor temperature, crowding situation, set temperature), power consumption was acquired. ” may be registered in the data table 200 in association.
Alternatively, if the data acquisition unit 110 operates to acquire "environmental information (outside temperature, indoor temperature, crowding situation, set temperature), power consumption" every minute, the data acquisition unit 110 may The average value of the "environmental information (outside temperature, indoor temperature, crowding situation, set temperature)" and power consumption may be calculated, and the average value may be registered in the data table 200 in association with each time period.

The calculation data table 220 is a data table that links and stores various necessary information related to the energy consumption calculation system of this embodiment, such as storing basic information when performing artificial intelligence calculations in the variable relationship calculation unit 140. be.

Next, the configurations of the energy consumption calculation section 120 and the energy consumption integration section 130 will be explained. The energy consumption calculation unit 120 uses the environmental information (outside temperature, indoor temperature, set temperature) acquired at each predetermined time by the data acquisition unit 110 to calculate the value of the cell in the energy consumption table 210 that corresponds to the acquired environmental information. The calculated power consumption is calculated (the calculation method will be described later), and the calculated power consumption is stored in the cell of the energy consumption table 210 assigned to the environmental information used for the calculation.

In addition, the energy consumption integration unit 130 integrates the power consumption of the corresponding energy consumption table every predetermined time according to the change in the environmental situation every predetermined time, thereby changing the environment in which the air conditioner 3 is installed. It is designed to calculate an approximate value of energy consumption according to the following.

Next, the configuration of the energy consumption table 210 will be explained with reference to FIG. 3.
Note that FIG. 3 is a schematic diagram showing an example of the data structure of the energy consumption table 210 provided in the energy consumption calculation system of this embodiment.

As shown in the figure, the energy consumption table 210 has a memory (scale) of "0 to 15" at the top of the vertical axis (upper part of the figure) and "0 to -15" at the bottom of the vertical axis (lower part of the figure). and a matrix-like memory having "0 to 15" on the right side of the horizontal axis (the right side when facing the figure) and "0 to -15" on the left side of the horizontal axis (the left side when facing the figure). It is a front table.
In the energy consumption table 210, the memory on the vertical axis shows the temperature difference obtained by subtracting the set temperature (the setting temperature of the air conditioner 3) from the indoor temperature, and the memory on the horizontal axis shows the difference between the outside air temperature and the set temperature (the setting temperature of the air conditioner 3). It shows the temperature difference after subtracting the temperature.

Further, the energy consumption table 210 has two table areas 210a and 210b at the top and bottom, the upper table area 210a is used for calculating the energy consumption during cooling operation, and the lower table area 210b is used for calculating the energy consumption during heating operation. It is now used to calculate energy consumption.
Moreover, the air conditioner 3 targeted in this embodiment has an automatic control function, and does not heat or cool the room temperature to above or below the set temperature. Therefore, in the illustrated energy consumption table 210, the upper table area 210a used during cooling operation is not provided with a lower part, and the lower table area 210b used during heating operation is not provided with an upper part. .

In addition, in the event that the indoor temperature changes to above or below the set temperature, the energy consumption calculation system of this embodiment uses the "0" row, so even in such a case, the energy consumption can be calculated without any problem. It can be calculated.
In addition, unless there is a heat source indoors, the difference between the outside temperature and the set temperature is the upper and lower limits of the difference between the indoor temperature and the set temperature, so in the diagram, the table parts that are not normally used are filled out (grayed). ing. However, there is no problem in using the grayed out parts. Further, if the difference between the outside air temperature and the set temperature is 15°C or more between the indoor temperature and the set temperature, a value of +-15°C or more may be prepared and used.

In the energy consumption table 210, corresponding cells are identified based on environmental information (environmental values) acquired from each sensor, etc., and energy required for operation of the air conditioner 3, such as consumed energy, is stored in the identified cells. That will happen. The essence of the numerical value in this cell is the value of repulsive energy that resists the air conditioner 3 adjusting the indoor temperature in the relevant environment, and it can be expressed as power consumption or electricity bill. is also possible.

All the spaces in which the air conditioner 3 is installed have different specific heat energies. For example, assume that the room in which the air conditioner/heater 3a in Figure 1 is installed is located on the south side and has a large window. On the other hand, it is assumed that the room in which the air conditioner 3b in FIG. 1 is installed is located on the north side and has no windows. In this case, the room in which the air conditioner 3a is installed is easily influenced by the weather and the outside air in the direction of temperature rise, and the repulsive energy that resists the force of the air conditioner to lower the temperature of the room is It's bigger than the room. In other words, even if the same air conditioner is operating under the same environmental temperature conditions, the amount of power consumed will vary greatly. As in the above example, since the repulsive force energy to the air conditioner 3 differs depending on the space, the consumed energy table 210 is prepared for each space where the consumed energy is calculated, and the repulsive force value according to the environmental information is assigned to the corresponding cell. It is important to include it.

The energy consumption table 210 has a structure in which power consumption is stored based on the calculation result of the energy consumption calculation unit 120, but in the case where the power consumption of the air conditioner 3 for each predetermined time can be obtained individually from the wattmeter 5. , the acquired power consumption and the calculated calculation result are the same value, so the result is acquired in the cell of the energy consumption table 210 assigned to the corresponding environmental information (outside temperature, indoor temperature, set temperature). The power consumption is stored. This is because power consumption is a reaction of repulsive energy, and it is correct that the result calculated by the energy consumption calculation unit 120 is the same value as the power consumption every predetermined time measured by the wattmeter 5, that is, the result is the same as the repulsive energy. Because it will be.

Next, a method for calculating the consumed energy (power consumption) stored in the cells of the consumed energy table 210 will be explained with reference to FIGS. 4 and 5.
Here, FIG. 4 is a schematic diagram for explaining the process of calculating the power consumption stored in the cells of the energy consumption table performed by the energy consumption calculation system of this embodiment, and (a) is a diagram for explaining the process of calculating the power consumption stored in the cells of the energy consumption table, in which (a) shows the predetermined time (y1, y2, y3) is a table showing a data table 200 that stores measured environmental information, (b) is a schematic diagram showing an equation for calculating consumed energy (power consumption), and (c) is a table showing a data table 200 that stores environmental information measured in (b). ) is a schematic diagram for explaining the calculation process of the parameters of the formula shown in FIG.
Moreover, FIG. 5 is a schematic diagram for explaining the relationship between the power consumption shown in the environmental information shown in FIG. 4 and the cells of the energy consumption table.

In Fig. 4(a), the environmental information measured at “10:00-10:05 (y1)”, the environmental information measured at “10:05-10:10 (y2)”, and the environmental information measured at “10:10 -10:15 (y3)'' is exemplified.

For example, in the environmental information for "10:00-10:05 (y1)" shown in the figure, the "difference between the outside temperature and the set temperature" is "9 degrees Celsius (rounded to the nearest whole number)", and the difference between the indoor temperature and the set temperature has become "4℃". In this case, since the air conditioner 3 is operating as a cooling function (cooling operation), the energy consumption (power consumption) of "1200W" in the environmental information of "y1" is the cell in the table area 210a at the top of FIG. Among these, the cell in which "outside temperature - set temperature" is "9°C" and "indoor temperature - set temperature" is "4°C" is stored.

Also, in the environmental information for "10:05-10:10 (y2)", the "difference between the outside temperature and the set temperature" is "9°C", and the difference between the indoor temperature and the set temperature is "2°C". ing. In this case as well, since the air conditioner 3 is operating as an air conditioner/heater (cooling operation), the energy consumption (power consumption) of “600W” in the environmental information of “y2” is shown in the table area 210a at the top of FIG. Among the cells, "outside temperature - set temperature" is "9°C" and "indoor temperature - set temperature" is stored in the cell where it is "2°C".

In addition, in the environmental information for "10:10-10:15 (y3)", the "difference between the outside temperature and the set temperature" is "10℃ (rounded to the nearest whole number)", and the difference between the indoor temperature and the set temperature is " 0°C. In this case as well, since the air conditioner 3 is operating as an air conditioner (cooling operation), the energy consumption (power consumption) of “180W” in the environmental information of “y3” is shown in the table area 210a at the top of FIG. Among the cells, "outside temperature - set temperature" is "10°C" and "indoor temperature - set temperature" is stored in the cell which is "0°C".

In addition, since the outside air temperature heats or cools the building, in the energy consumption table 210, the difference between the outside air temperature and the set temperature on the horizontal axis is such that the further left or right from the central value "0", the more the temperature of the air conditioner 3 increases. The energy repulsion for adjustment increases and energy consumption increases. Similarly, in the energy consumption table 210, the difference between the indoor temperature and the set temperature on the vertical axis is such that the energy consumption of the air conditioner 3 increases as the vertical axis moves away from the central value of "0". .

In other words, the energy consumption table 210 shows that the amount of energy consumed per certain period of time differs depending on the environmental situation applicable to each cell position, and the energy consumption value (consumption By integrating the amount of power (power) as the situation changes, it is possible to calculate the amount of power consumed over a certain period of time.

Next, the "process of calculating the power consumption for each time period, which is allocated and stored in each cell of the energy consumption table 210" performed by the energy consumption calculation unit 120 of the information processing device 100 will be described.

The energy consumption calculation unit 120 of the information processing device 100 calculates the energy consumption (power consumption) using the following (Formula 1) and (Formula 2) and the acquired environmental information (value).
Note that the energy consumption calculation unit 120 calculates the power consumption of the air conditioner 3 using the following (Formula 1) and (Formula 2) when the air conditioner 3 measures the power consumption every predetermined time using the wattmeter 5. If possible, the value will be the same as the value of the wattmeter 5, as described above.

The equations (Formula 1) and (Formula 2) used by the energy consumption calculation unit 120 are obtained by adding a specific constant to the Gompertz equation. In addition, (Formula 1) is an equation used to calculate the energy consumption value stored in the "0 row" cell of the energy consumption table 210 (the cell where the difference between the indoor temperature and the set temperature is 0), and (Formula 2 ) is an equation used to calculate the energy consumption value stored in cells other than the above-mentioned “0 row” of the energy consumption table 210.

Note that although the consumed energy (power consumption) stored in the cells of the energy consumption table 210 is the same value as the value obtained from the actual wattmeter (power meter) 5, Even if it is possible to measure the values of cells in a certain part of the cell with a power meter, it is not possible to measure the values of all cells in a real environment that changes from moment to moment. Therefore, in this embodiment, the energy consumption calculation unit 120 of the information processing device 100 uses the acquired environmental information and the above (Formula 1) and (Formula 2) to calculate the value ( There is an important significance in calculating the power consumption).

First, the above equation (Formula 1) will be explained.
In the above (Equation 1), the maximum power consumption used by the air conditioner 3 to maintain the indoor temperature at the set temperature is substituted for "K". In other words, in the energy consumption table 210 of FIG. 3, this is the value at the left and right ends of the "0 row" at the center of the vertical axis.
Moreover, in the above (Formula 1), x is "the difference between the outside air temperature and the set temperature (outside air temperature - set temperature)". The maximum power consumption used by the air conditioner 3 to maintain the indoor temperature at the set temperature is the power consumption when x is the maximum value in the relevant environment. The calculation of the value of "K" will be explained later in the artificial intelligence calculation section.

Moreover, the minimum power consumption (minimum power consumption value) of the air conditioner 3 is substituted into the value of A in the above (Formula 1). The minimum power consumption of the air conditioner 3 is generally expressed as a specification of the air conditioner 3, and it is preferable to use the expressed value.

In addition, the value of α in (Equation 1) above is determined by factors other than temperature, such as when the fan speed of the air conditioner is set manually, when there is a heat source that generates temperature in the room, and when there is crowding of people. This variable is used as an offset when the environmental temperature is rising.
For example, by adding or subtracting the value of "α" in the above-mentioned equation (Formula 1) according to the measurement value of the crowd detection sensor 4, the dynamic heat source due to the increase or decrease of people may be reflected.
However, in reality, in offices, the heat source in the environment and the situation of people do not change significantly from time to time, and there are also few offices where the fan speed of air conditioners and heaters is manually set, so offset is not used here. The energy consumption is calculated based on the relevant environment (indoor environment such as indoor temperature and set temperature), including the heat source. Further, in this embodiment, the detailed contents of the value of α are not defined.

When the indoor temperature changes from the set temperature, the air conditioner/heater 3 shifts from the standby state to the operating state (the operation and name differ depending on the model), and the power consumption changes. The calculation formula (Equation 1) above is a formula that represents the change in energy consumption used to maintain the temperature in each case of a difference between the outside temperature and the indoor temperature. However, strictly speaking, when temperature changes are measured over a sufficiently short period of time, the temperature actually changes minutely.
However, in this embodiment, since effective measurement intervals such as 5-minute intervals and 10-minute intervals are assumed, the term "energy consumption for temperature maintenance (temperature maintenance energy)" will be used.

Further, the graph of the equation for calculating the temperature maintenance energy in (Equation 1) above tends to have a shape as shown in FIG. The graph in FIG. 6 has the energy consumption (power consumption value) on the vertical axis (y-axis) and the difference between the outside air temperature and the set temperature on the horizontal axis (x-axis).
As shown in FIG. 6, the greater the difference between the outside air temperature and the set temperature, the greater the amount of energy consumed. This is because the greater the difference from the outside air temperature, the faster the indoor temperature is heated or cooled, and the operating state of the air conditioner 3 becomes longer.

The slope of the graph in FIG. 6 varies depending on the model of the air conditioner 3, but it tends to have a graph shape that is relatively close to a linear function, and the slope of the graph shown in FIG. The graph shape will be determined. Note that the appropriate range of the variables b and c is limited to a certain range.

Next, the above equation (Formula 2) will be explained.
The equation (Formula 2) above is a calculation formula used to calculate the energy consumed when the air conditioner/heater 3 operates to change the indoor temperature to the set temperature.
The value of "A" in the above (Formula 2) is substituted with the value of the solution to the calculation formula of the above (Formula 1), that is, the solution of the temperature maintenance energy calculation. However, since the value of "A" differs depending on the difference between the outside air temperature and the set temperature, the calculation formula (Formula 2) has a different value of "A" for each column of the energy consumption table 210. become.

Moreover, in the above (Formula 2), the maximum power consumption (maximum power consumption value) of the air conditioner 3 is substituted for the value of "K", unlike the above equation (Formula 1). However, as mentioned above, since the above (Formula 1) is substituted for the value of "A" in the above (Formula 2) and added, in reality, the value of "K" in the above (Formula 1) is calculated from the maximum power consumption. The value obtained by dividing the value is assigned here. Like the minimum power consumption, the maximum power consumption is generally expressed as a specification of the air conditioner 3, and the maximum power consumption expressed in the air conditioner 3 may be used. Moreover, in the above (Formula 2), x is "the difference between the indoor temperature and the set temperature (indoor temperature - set temperature)".

Further, the graph of the equation for calculating the energy consumption (power consumption value) in the above (Formula 2) has a shape as shown in FIG. The graph in FIG. 7 has the energy consumption (power consumption value) on the vertical axis (y-axis) and the difference between the room temperature and the set temperature on the horizontal axis (x-axis).
While the graph in Figure 6 above shows the change in energy consumption when the indoor temperature is maintained at the set temperature, the graph in Figure 7 shows the change in energy consumption when the indoor temperature is changed to the set temperature. It represents. The graph in FIG. 7 has a different slope from the graph in FIG. 6. When the difference between the indoor temperature and the set temperature is small, the slope of the graph becomes gentle, and when there is a certain temperature difference, the power consumption value increases suddenly. When the temperature difference exceeds a certain level, the slope of the graph often shows a tendency to become gentler again.

Although the slope of the graph in FIG. 7 varies depending on the model of the air conditioner 3, the shape of the graph is determined by the variables (parameters) "b and c" in (Equation 2). Further, the appropriate ranges of the variables b and c are limited to a certain range as in the above (Formula 1).

In this manner, in this embodiment, in order to calculate the value of each cell of the energy consumption table 210, the above-mentioned (Formula 1) and (Formula 2) are used. Further, the graphs shown in FIGS. 6 and 7 are graphs showing how the vertical and horizontal energy consumption values (power consumption) of each cell change. That is, according to this embodiment, the value of each cell of the energy consumption table 210 is calculated by substituting some fixed values and environmental information into the above-mentioned (Formula 1) and (Formula 2). Then, by integrating the values of each cell, it becomes possible to calculate the approximate value (estimated location) of energy consumption.

For example, the energy consumption calculation unit 120 of the information processing device 100 uses the environmental information acquired at predetermined time intervals and the above-mentioned (Formula 1) and (Formula 2) for office A in FIG. Calculate power consumption. Further, the energy consumption calculation unit 120 stores the calculated energy consumption in the corresponding cell of the energy consumption table 210.
Thereafter, the energy consumption integration unit 130 uses the energy consumption table 210 to calculate the energy consumption (referred to as "estimated energy consumption amount" for convenience of explanation) obtained by integrating the cell values for one day.
In addition, if the variable relationship calculation unit 140 can acquire the actual power consumption value (true value energy consumption amount) of office A for one day, it will calculate the accumulated "estimated energy consumption amount" and the acquired "true value energy consumption amount". By comparing the amount of energy consumed by The range of combination patterns of "b and c" can be specified.

In addition, even if the actual power consumption amount (true value energy consumption amount) for the day cannot be obtained, the value of the cell of the energy consumption table 210 is calculated for each month, and the calculated "estimated energy consumption amount" is calculated. If you compare (reference) the power consumption value that can be calculated from the electricity bill, it will be effective even if the ``true value of energy consumption'' cannot be obtained. In order to improve the accuracy of the "estimated energy consumption" to be calculated, refer to it many times and narrow down the range of values of variables (parameters) "b and c" as shown in Figures 6 and 7. The curve of the graph is gradually identified, and it becomes possible to calculate more accurate values for each cell of the energy consumption calculation table 210.

Next, an example of the energy consumption calculation process according to the present embodiment described above will be described with reference to FIG. 4 described above.

In the data table 200 shown in FIG. 4A, measured values are acquired from each sensor every 5 minutes and registered. Note that the measurement interval does not need to be every 5 minutes, and if environmental changes occur frequently, shorter intervals are better. Note that although FIG. 4A shows the power consumption value every 5 minutes, as described above, it is not necessary to actually obtain the power consumption value.

Since the data in the data table 200 in FIG. 4(a) is environmental information that changes moment by moment, the position of the reference cell in the energy consumption table 210 in FIG. It will change accordingly. FIG. 8 shows a change in the position of the reference cell in the energy consumption table 210 in FIG. 3 for each time unit (during cooling operation). Normally, power consumption is stored in the cells of the energy consumption table 210, but in FIG. ing. If the energy consumption integration unit 130 calculates the power consumption for each day, the numerical values of each cell in FIG. By integrating the values, the power consumption for one day can be calculated. Note that FIG. 4(b) is an image diagram in which y1+y2+y3 is integrated by the energy consumption integration unit 130, and FIG. 4(c) shows how the variable relationship calculation unit 140 calculates the "estimated energy consumption amount" and the obtained "true value". This is an image diagram that compares the amount of energy consumed.

Next, processing related to the energy consumption table calculation artificial intelligence that specifies the parameters (variables) of the equations shown in (Formula 1) and (Formula 2) described above will be explained.
Note that the energy consumption calculation artificial intelligence process for specifying parameters (variables) is performed by the variable relationship calculation unit 140 of the information processing device 100.
The processing by the variable relationship calculation unit 140 is realized by the CPU of the information processing device 100 executing an artificial intelligence program.
Note that for convenience of explanation, the above-mentioned (Formula 1) and (Formula 2) are shown again.

First, as a pre-process for performing the artificial intelligence calculation of this embodiment, the data acquisition unit 110 acquires the power consumption for a certain period of time of the air conditioner 3 to be operated by this system together with environmental information (value), and calculates the power consumption. It is stored in the energy table 210. It is preferable to store data for about 2 weeks, but in the worst case, it may be enough to specify any value in the 0th row of the energy consumption table (the row where the difference between the indoor temperature and the set temperature is 0). .

In addition, the initial values of the parameters (variables) "b and c" are stored in advance in the variable relationship calculation unit 140 so that the graph shape of the above (Equation 1) is close to a linear equation as in the graph of FIG. There is. For example, FIG. 6 shows a graph in which the variable "b" has a value of "0.08" and the variable "c" has a value of "0.2." Since the operation patterns of the air conditioner 3 are similar depending on the manufacturer and model, it is also effective to automatically give the initial values of "b and c" from the model number data of the air conditioner 3. be.

Next, since the value of A is the minimum power consumption value specified in the specifications of the air conditioner 3 as described above, the minimum power consumption value specified in the specifications is stored in the calculation data table 220. (Since the α offset value in the equation (Equation 1) above is not used for automatic calculation of artificial intelligence calculation, it will be omitted from this explanation.)

In the above pre-process, the variable relationship calculation unit 140 calculates the value of any of the cells identified by acquiring the power consumption and the above (formula 1) in which the initial value is set, so that the above (formula The value of "K" in 1) is in the state where the initial value is derived.
If the values of many cells of the energy consumption table 210 have been obtained in the previous process, the value of "K" can be tentatively determined more appropriately. On the other hand, if the power consumption cannot be measured in the previous process, it is acceptable to estimate the value of "K" from the specifications of the air conditioner 3 and input a temporary fixed value. Here, the accuracy of the value of "K" is not necessarily important, but it is important to obtain a provisional initial value in the previous process.

Next, the variable relationship calculation unit 140 substitutes the solution of the equation (Formula 1) above, which includes some of the initial values, into "A" of the equation (Formula 2) above, and The value obtained by dividing the value of "K" in the above (formula 1) from the maximum power consumption value shown in the specifications of the air conditioner 3 is substituted for the value of "K". However, since the above substitutions and divisions are automatically calculated based on the system, the maximum power consumption value shown in the specifications of the air conditioner 3 is actually input into the calculation data table 220.

From the above, among the parameters (variables) in the above (Formula 1) and the above (Formula 2), variables that have not yet been determined are limited to the values of "b and c" in the above (Formula 2). Finally, for the values of "b and c" in the above (Formula 2), as in the above (Formula 1), initial values are determined from information such as the model of the air conditioner 3 and stored in the calculation data table 220. The pre-processing process for performing the artificial intelligence calculation of the embodiment is completed.

To summarize the above explanation, the data that actually needs to be manually input in the previous process are the value of "A" in (Formula 1) and the value of "K" in (Formula 2), that is, the minimum power consumption of the air conditioner 3. and the maximum power consumption. If you have accumulated data regarding the air conditioner 3, by entering the manufacturer and model number of the air conditioner 3, "A" and "K" will be automatically entered, and "b and It is also good to incorporate a mechanism for setting the initial value of "c" (for convenience of explanation, referred to as "key variable").

Next, the artificial intelligence calculation method of this embodiment will be explained.
The artificial intelligence calculation in this embodiment means that the variable relationship calculation unit 140 automatically narrows down the range of the key variables by computer calculation. In the case of a large-scale office where a BMS has been introduced, by acquiring the power consumption of each air conditioner/heater 3 at a predetermined time interval from the BMS, the above key variables can be narrowed down in a relatively short period of time and adjusted to suit each environment. The accuracy of the cell values in the energy consumption table 210 can be improved.
On the other hand, in a situation where there is no BMS and a plurality of air conditioners 3 coexist, in the worst case, the above key variables will be narrowed down using artificial intelligence calculations based on electricity charges. However, in that case, it will take a long time to improve the accuracy of the cell values in the energy consumption table 210.

In either case, as described above, the calculation element required for the artificial intelligence calculation in this embodiment is the power consumption value obtained in a predetermined time unit. If the power consumption value is not available, the electricity rate will be used instead. However, although electricity charges often include charges for OA equipment or lighting, the present invention does not limit the method of specifying the power consumption of the air conditioner 3 from the electricity charges.

In addition, the target value that is compared and calculated with the power consumption value obtained in a predetermined time unit is integrated in the same time unit by the energy consumption integration unit 130 regarding the applicable air conditioner 3 (there may be more than one) indicated by the power consumption. This is the total value of the cells in the consumed energy table 210. If a plurality of air conditioners 3 apply, the total value for all the air conditioners 3 is used.

For example, a calculation method in an environment where two air-conditioning/heating machines 3 whose power consumption can be obtained on a monthly basis operate within the same power consumption will be described as an example. In this case, it is assumed that the outdoor unit is also operating within the same power consumption and that the amount of power consumed by the air conditioner 3 has been determined.

First, it is assumed here that the energy consumption calculation unit 120 has calculated all the cell values of the energy consumption table 210 using the initial values through the previous process described above, and that the values of the cells have been provisionally specified.
Next, the power consumption and the power measurement period are input into the calculation data table 220 at the timing when the power consumption amount is obtained once a month. The energy consumption integration unit 130 refers to the data table 200 of the two target air conditioners 3 within the period corresponding to the input power consumption value, and calculates the environmental status indicated by the data, as in the example of FIG. The data of the cells in the energy consumption table 210 corresponding to the above are integrated, and the integration results for each air conditioner 3 are summed.
In other words, the total result must match the power consumption value input into the calculation data table 220, so the power consumption value is used as the solution, the range of the above key variable in (Equation 2) is specified, and the value within the range is automatically set. adjust.

The automatic adjustment method compares the trends in the relevant cells of the energy consumption table 210, which are identified from the outside air temperature, indoor temperature, and set temperature during the relevant period, with the trends in the past month, and calculates the deviation of the relevant cells and the energy consumption. Based on the magnitude of , the key variables are adjusted and the shape of the graph shown in FIG. 7 is arranged.
For example, the trend in the corresponding cell indicated by the environmental information in the energy consumption table 210 for a certain month shows an upward bias compared to the previous month (the numerical bias shown in Figure 8), and the power consumption increases by 5% in total. Assume that In that case, if the value integrated by the energy consumption integration unit 130, which is used in the comparison calculation by the variable relationship calculation unit 140, is smaller than the actual power consumption, the graph shape in FIG. It will be adjusted to have a slope.

In addition, in the case of normal office use, the 0 row of the energy consumption table 210, that is, the situation where the set temperature and the indoor temperature are balanced (temperature maintenance energy consumption), will continue for a long time, so the (formula 2) A case may occur in which the calculation by the variable relationship calculation unit 140 does not have a solution within the range of the above-mentioned key variables. In that case, the key variable in (Formula 2) is temporarily maintained, and the key variable in (Formula 1) is adjusted.

In the above example, the explanation of the artificial intelligence calculation in this embodiment was shown using a relatively special example where power consumption is only obtained on a monthly basis. There are many offices where the installation of a power meter 5 is permitted.
Unlike the previous example, if the environment information is acquired in 5-minute increments and the power consumption can also be acquired in 5-minute increments, the comparison calculation method in the variable relationship calculation unit 140 will be the same; The cell values of the energy consumption table 210 are specified every five minutes, and the graph shapes in FIGS. 6 and 7 are naturally corrected every five minutes by the variable relationship calculation unit 140.

As described above, the accuracy of each cell data in the energy consumption table 210 for predicting power consumption differs depending on the unit of measurement of power consumption and the unit of acquisition of environmental information. However, in either case, although the period required for correcting the key variables differs, it is possible to predict energy consumption according to the environment.

Note that if the environmental information acquisition cycle and the power consumption acquisition cycle are different, the value of each cell in the energy consumption table 210 can only be specified by a calculation formula.
However, when the above cycles match, new values are frequently stored in the same cell. That is, it is possible to clearly obtain the extent to which the new measurement value deviates from the previous data. In that case, there is a possibility that new environmental factors will be found that contribute to increasing or reducing energy consumption. In that case, the α value in (Equation 1) above can be used to more accurately predict power consumption.

Furthermore, even if there are many heat sources such as refrigerators in the office, the artificial intelligence calculation of this embodiment derives the repulsive energy for the air conditioner 3 in an environment that includes them. This embodiment works effectively unless there is a drastic change in the environment, such as removal.

Changes in environmental conditions throughout the day (outside temperature, indoor temperature, set temperature) are stored in a data table 200. The relationship between changes in environmental conditions and energy consumption in a given day can be shown by the movement of the corresponding shell in the energy table 210, as shown in the example of FIG.
In other words, if the approximate values of all the cells in the energy consumption table 210 are calculated using the method described above, it is possible to determine how much power consumption could be reduced by setting the temperature in the past. In addition, it becomes possible to predict in advance how to set the temperature to reduce power consumption to the minimum value based on expected environmental changes. Similarly, it is also possible to automate the operation of these temperature settings.

The above is the explanation regarding the energy consumption calculation system of the present embodiment, but the purpose of the present invention is not to accurately calculate the power consumption of an air conditioner/heater in a certain environment. Under various environments, the environment-specific energy consumption trends can be understood using the energy consumption table 210 and the graphs shown in the energy table, such as those shown in FIGS. The purpose is to show whether it is effective in reducing energy consumption. Using the cell values of the energy consumption table 210, the present invention can easily predict how to automatically control the temperature of the air conditioner and how much power consumption this will lead to. It becomes possible to obtain indicators for control.

Note that the present invention is not limited to the embodiments described above, and various changes can be made within the scope of the invention.

For example, the energy consumption calculation unit 120 calculates the actual power consumption of the air conditioner 3 measured by the wattmeter 5 and the environmental information (indoor temperature, set temperature, It may be configured by a trained model (a trained power consumption calculation deep learning model) that uses the training data as training data (outside air temperature) and performs machine learning on the training data.

This machine learning uses teacher data to link environmental information and power consumption using the "temperature maintenance energy calculation equation ((formula 1) above)" and the "temperature change energy calculation equation ((formula 2) above)". ” Narrow down and specify the relationship between the variables (a, b).
Note that the method for specifying the coefficients (K, A) other than the variables (a, b) in the temperature maintenance energy calculation equation and the temperature change energy calculation equation is the same as in the embodiment described above.

According to this configuration, if the environmental information (indoor temperature, set temperature, outside temperature) acquired by the data acquisition section 110 is input to the energy consumption calculation section 120, the energy consumption calculation section 120 will calculate the power consumption corresponding to the environmental information. is output (calculated). The energy consumption calculation unit 120 may store the output power consumption in the cell of the energy consumption table 210 assigned to the environmental information used for calculation.

1... Outside temperature sensor 2, 2a, 2b... Indoor temperature sensor 3, 3a, 3b... Air conditioner 4, 4a, 4b... Crowd detection sensor 5, 5a, 5b... Power meter

100...Information processing device 110...Data acquisition section 120...Energy consumption calculation section 130...Energy consumption integration section 140...Variable relationship calculation section 150...Display section 160...Storage section 200...Data table 210...Energy consumption table 220...Calculation data table

Claims (8)

An energy consumption calculation system comprising an information processing device that calculates an approximate value of energy consumption of an air conditioner/heater equipped with an automatic control function,
The information processing device includes:
a data acquisition unit that acquires environmental information inside and outside the building in which the air conditioner is installed;
an energy consumption table in which a plurality of cells are formed in a matrix;
an energy consumption calculation unit that calculates the value of a cell in the energy consumption table;
an energy consumption integration unit that integrates the values of the cells of the energy consumption table and calculates an approximate value of the energy consumption of the air conditioner for a predetermined period;
The data acquisition unit acquires at least an indoor temperature inside a building where the air conditioner is installed and an outside air temperature outside the building where the air conditioner is installed as the environmental information at a predetermined time interval. obtain the set temperature of the air conditioner,
Each cell of the energy consumption table is assigned according to the value of the environmental information and stores a value that is the basis for calculating the energy consumption,
The energy consumption integration unit uses the acquired environmental information for each predetermined time period to integrate the values of the cells of the energy consumption table corresponding to the environmental information for each predetermined time period, so that the air conditioner can An energy consumption calculation system, characterized in that the energy consumption calculation system is configured to calculate an approximate value of the energy consumption in accordance with changes in the installed environment. The energy consumption table has a column specified by the value of the difference between the outside temperature and the set temperature, and a row specified by the value of the difference between the indoor temperature and the set temperature, and the cell where the column and the row intersect is 2. The energy consumption calculation system according to claim 1, wherein power consumption, which is a value used in the energy consumption calculation, is stored. In each cell of the energy consumption table,
If the power consumption of the heating and cooling machine can be measured every predetermined time using a wattmeter, the power consumption of the heating and cooling machine measured by the wattmeter is stored;
If the power consumption of the heating and cooling device cannot be measured every predetermined time using a wattmeter, the power consumption calculated using a predetermined equation in which a value determined by the heating and cooling device is set and the acquired environmental information is stored. 3. The energy consumption calculation system according to claim 2. The energy consumption calculation unit calculates the predetermined equation, in which a value determined by the air conditioner is set, and the acquired environmental information, as preprocessing for the energy consumption integration unit to calculate the approximate value of the energy consumption. The power consumption of the air conditioner is calculated using the above-described method, and the calculated power consumption is stored in a cell of the energy consumption table allocated according to the environmental information used for the calculation. The energy consumption calculation system described in 3. The data acquisition unit is capable of acquiring environmental factors including the indoor congestion situation, weather conditions, and humidity as the environmental information,
In the predetermined equation, the environmental factor can be set as an offset value,
5. The energy consumption calculation system according to claim 4, wherein the energy consumption calculation unit calculates the power consumption using the predetermined equation in which the environmental factor is set as an offset value. The energy consumption calculation unit is
For the cell to be referred to when the difference between the indoor temperature and the set temperature is 0, power consumption is calculated using a temperature maintenance energy calculation equation having a first graph shape as the equation,
For the cell to be referred to when the difference between the outside air temperature and the set temperature is other than 0, power consumption is calculated using a temperature change energy calculation equation having a second graph shape as the equation. 5. The energy consumption calculation system according to claim 4. The temperature maintenance energy equation having the first graph shape is the Gompertz equation using two variables that differ depending on the environment and the maximum power consumption value for maintaining the set temperature, and the minimum power consumption value and offset of the air conditioner. is an equation that adds
The temperature change energy calculation equation having the second graph shape is an equation composed of the solution of the maintenance energy equation, the maximum power consumption value of the air conditioner, and two other variables different from the two variables. The energy consumption calculation system according to claim 6. comprising a variable relationship calculation unit that specifies variables of the temperature maintenance energy calculation equation and the temperature change energy calculation equation,
The variable relationship calculation unit is
The temperature maintenance energy calculation equation and the temperature change link the environmental information and the power consumption using the actual power consumption of the air conditioner and the heating and cooling machine acquired by the wattmeter and the environmental information acquired by the data acquisition unit as training data. 6 or 7, wherein the relationship between variables in the energy calculation equation is narrowed down by machine learning, and variables in each of the temperature maintenance energy calculation equation and the temperature change energy calculation equation are specified. The energy consumption calculation system according to item 7.

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